In this role, you will lead the IAM team within the Elastic Cloud, guiding an accomplished group as they work to modernize our identity and access management systems.

Responsibilities

• Foster a collaborative and innovative culture within the team. Mentor team members to enhance their technical skills, setting clear performance expectations while monitoring team dynamics. Lead regular meetings to align on goals and share updates appropriately.
• Develop project plans and timelines for IAM initiatives to ensure capable execution. Allocate resources appropriately to meet project goals while tracking progress and making necessary adjustments. Communicate status updates to stakeholders and proactively manage risks and address any issues that arise.
• Evaluate and implement emerging technologies to improve IAM capabilities. Align technical strategies with overall business objectives to ensure cohesive progress. Lead technical discussions and decision-making processes within the team to foster innovation and collaboration.
• Engage with key stakeholders to gather requirements and insights for IAM projects. Build solid relationships with internal teams to ensure seamless integration of IAM solutions. Regularly communicate project progress and gather feedback to stay aligned on objectives and deliverables.
• Conduct regular performance evaluations for each team member to assess their contributions. Offer constructive feedback and coaching to promote individual growth and development. Recognize and reward noteworthy achievements to inspire the team and foster a positive environment.

Requirements

• Bachelor's degree in Computer Science or a related field
• 8+ years in software engineering
• 3+ years in identity and access management
• Experience with cloud-based technologies and architectures
• Experience with IAM solutions and frameworks
• Proficiency in software development methodologies
• Knowledge of cloud security best practices

Compensation and Benefits

The typical starting salary range for this role is: 307,800 zł - 486,900 zł PLN

We offer competitive pay, health coverage for you and your family, flexible locations and schedules, generous vacation days, and more.

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Elasticsearch powers search, observability, and AI retrieval (RAG) for the world's largest organizations. We are seeking a Senior Software Engineer to lead competitive benchmarking initiatives within the Elasticsearch Performance team.

You will develop representative workloads, automate reproducible experiments, and investigate how Elasticsearch compares with alternative systems. Your work will identify performance strengths, gaps, and tradeoffs, guide engineering improvements, and help customers make informed technical decisions.

What You Will Be Doing

• Own prioritized competitive benchmarking initiatives across search, vector and hybrid retrieval, and analytical and observability workloads.
• Build and maintain automated benchmark harnesses, datasets, query sets, and load profiles that reflect real-world usage, including concurrent ingestion and querying.
• Design fair comparisons with documented system versions, configurations, tuning decisions, resource budgets, and functional differences.
• Evaluate latency distributions, throughput, resource consumption, and cost efficiency. For retrieval workloads, measure performance at comparable recall or relevance targets.
• Adapt and extend workload-appropriate tools such as Elasticsearch Rally, ClickBench, and vector search benchmark frameworks.
• Investigate performance differences using profiling, system metrics, and controlled experiments; collaborate with engineering teams to identify causes and validate improvements.
• Evaluate relevant self-managed and managed cloud deployments, including serverless offerings, accounting for scaling behavior and service constraints.
• Work with engineering and technical content partners to publish reproducible benchmark artifacts and clear technical reports that explain methodology, findings, limitations, and tradeoffs.
• Partner with engineering and product management to prioritize benchmark coverage and translate findings into actionable product improvements.

What You Bring

• Solid software engineering skills, with experience building maintainable automation and analysis tools in Python or another relevant programming language.
• Hands-on experience evaluating and diagnosing performance in distributed systems, databases, or search infrastructure.
• Depth in at least one relevant area (search, vector retrieval, analytical databases, or observability systems) and the ability to learn unfamiliar systems.
• Experience designing representative datasets and workloads, including query patterns, concurrency, and ingestion behavior.
• Sound experimental judgment, including repeated measurements, variability analysis, warm-up and cache effects, and the distinction between meaningful changes and measurement noise.
• Experience building reproducible test environments and documenting configurations, procedures, and results.
• Clear technical writing and communication skills, with the ability to explain complex findings and their limitations.
• Solid collaboration skills and the ability to turn performance evidence into applicable engineering recommendations.

Bonus Points

• Experience with Elasticsearch, Lucene, Rally, ClickBench, or vector search benchmark frameworks.
• Experience measuring retrieval quality alongside latency, throughput, and resource usage.
• Familiarity with cloud performance and cost analysis, including autoscaling and serverless systems.
• Public technical writing, open-source contributions, or published benchmark studies.

The typical starting salary range for this role is: 307,800 zł-486,900 zł PLN

Additional Information - We Take Care of Our People

As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do.

We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.

• Competitive pay based on the work you do here and not your previous salary
• Health coverage for you and your family in many locations
• Ability to craft your calendar with flexible locations and schedules for many roles
• Generous number of vacation days each year
• Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
• Up to 40 hours each year to use toward volunteer projects you love
• Embracing parenthood with minimum of 16 weeks of parental leave

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You will participate in coding, crafting solutions, debugging sophisticated failure scenarios, and prioritizing bug fixes and features. You'll analyze the current system, its strength and limitations.

Responsibilities:

• Guide cross-team technical designs and help create a team-wide high level architecture
• Lead best practices for development, ensuring a reliable, scalable foundation and an engaging user experience for our customers
• Contribute and lead technical plans and direction within our team and across other product teams in Elastic
• Be part of a distributed team of engineers from all across the globe
• Collaborate with other teams within Elastic

Requirements:

• 5+ years of experience as a software engineer, with a track record of delivering high-quality code
• Previous experience providing pragmatic technical leadership for a group of engineers
• Knowledge of back-end languages such as Scala, Java or Go
• Technical depth in one or more technologies relevant for SaaS (orchestration, networking, containers, etc.)
• Passion for automation and quality

Benefits:

• Competitive pay based on the work you do here and not your previous salary
• Health coverage for you and your family in many locations
• Ability to craft your calendar with flexible locations and schedules for many roles
• Generous number of vacation days each year
• Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
• Up to 40 hours each year to use toward volunteer projects you love
• Embracing parenthood with minimum of 16 weeks of parental leave

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As Director of Product Management, Observability at Elastic, you will own Streams end to end and lead the PM team behind it. Your job is to make Elastic the easiest platform to bring data to, for every solution and every customer.

Responsibilities

• Own the strategy and roadmap for data collection, ingestion, processing and routing, and the integrations framework.
• Define and track KPIs focused on product and feature adoption.
• Partner with Observability, Security, and Search product leaders to provide a shared service everyone can leverage.
• Make getting data ingestion self-service, with time-to-first-data measured in minutes.
• Lead a team of distributed product managers and enable them to deliver measurable outcomes.
• Drive roadmap priorities by working with customers, internal teams, and the community.
• Work with engineers and designers to scope and define compelling features.
• Enable sales, marketing, and partners with clear messaging and positioning.

Requirements

• 10+ years in product management, including 4+ years leading PM teams in data infrastructure, observability, or data pipelines.
• Deep technical fluency in telemetry ingest: OpenTelemetry, Prometheus, log processing, routing, and agent management.
• Experience shipping SaaS products with usage-based pricing, and building platform capabilities shared by several product lines.
• Excellent verbal and written communication skills.
• Familiarity with the Elastic Stack is a plus.

Compensation and Benefits

• The typical starting salary range for this role is: 461,700 zł-730,400 zł PLN.
• Competitive pay based on the work you do.
• Health coverage for you and your family in many locations.
• Flexible locations and schedules for many roles.
• Generous number of vacation days each year.
• Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service.
• Up to 40 hours each year to use toward volunteer projects.
• Embracing parenthood with minimum of 16 weeks of parental leave.

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The role involves owning security monitoring and detection end-to-end: anticipating how systems could be compromised, ensuring the right telemetry is in place to detect it, and building detections and response workflows to act on it.

Key responsibilities include:

• Owning security monitoring and detection across AWS, identity, endpoints, SaaS, networks and data center environments
• Building and maintaining telemetry and logging pipelines needed to detect security incidents
• Leading security investigations and incident response from detection through containment, recovery and post-mortem
• Proactively hunting for threats and identifying gaps in visibility, controls and detection coverage
• Building automation to improve detection, investigation and response
• Working closely with IT and Engineering to turn security findings into preventative controls and better system design
• Developing and testing incident response playbooks and continuously improving response capability
• Implementing and enhancing internal AI agents and security bots

Requirements:

• Significant hands-on experience in detection engineering, security engineering, incident response, threat hunting or a similar technical role
• Strong understanding of cloud environments, ideally AWS, and how to monitor them for unauthorised or suspicious activity
• Strong networking fundamentals and an understanding of how attackers move through networks and systems
• Strong understanding of attacker tradecraft and the ability to turn it into useful, high-signal detections
• Experience investigating real security incidents and taking ownership through to resolution
• Strong scripting or programming skills, ideally Python
• Experience with security monitoring and response tooling such as SIEM, EDR, SOAR or equivalent
• Strong systems thinking and a natural instinct for asking 'how would we know if this was compromised?'
• Comfortable working autonomously and closely with IT and Engineering teams
• Curious about emerging AI capabilities and proactive in experimenting with AI-assisted development, automation and security workflows.

Preferred skills include experience with:

• AWS security telemetry including CloudTrail, GuardDuty, VPC Flow Logs and IAM
• Detection-as-code, Sigma, Git-based detections and automated testing
• CrowdStrike, SentinelOne, Defender or another EDR
• Network security monitoring, PCAP, NetFlow/sFlow or firewall telemetry
• Digital forensics, threat intelligence, purple teaming or security validation
• Data centre or colocation security, including OOB networks and BMC/IPMI
• Security automation, AI-assisted development or applying AI/LLMs to security engineering and operations
• Energy, trading, fintech, critical infrastructure or other high-value-target environments

Benefits include:

• Competitive salary and eligibility for equity
• Biannual bonus scheme
• Fully expensed tech to match needs
• Private health insurance
• Breakfast and dinner allowance for office-based employees

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We are seeking a Senior Software Engineer to join the Elasticsearch Security team. In this role, you will contribute to the architecture and design of Elasticsearch's main features. These features include authentication, authorization, and tenant isolation. You will work with engineering and product leaders at Elastic. Your goal is to participate in providing high-performance security at all levels. This includes ensuring that our distributed data store has top-quality security at scale.

Responsibilities:

• Contributing to core security initiatives from architecture to production, focusing on the delivery of new critical features. Participating in the technical design, planning, and execution for major security components inside the Elasticsearch core engine.
• Developing the foundational security models for features.
• Optimizing security performance at scale in distributed systems environments.
• Applying cryptographic solutions to address genuine customer use cases.
• Ensuring robust data isolation within shared infrastructure supporting disparate customers.
• Monitoring and applying the latest advancements and best practices in security. This includes authentication, identity management, cryptography, and data access management.
• Collaborating with peers across the company to embed security into new customer features from the outset.
• Drive vulnerability management efforts by collaborating closely with the InfoSec team to proactively identify, assess, and remediate security risks.
• Leverage AI-driven tools to automate vulnerability triage, prioritization, and preliminary investigation, streamlining security workflows and reducing manual intervention.

Requirements:

• You have deep knowledge of Java internals and JVM memory management. You understand how concurrency models work. You can write code that is high-performance, thread-safe, and lock-free. This experience includes working with large open-source and enterprise codebases.
• You have experience building authorization systems that are scalable and performant under high concurrency and large permission sets, including designing access models, validating credentials/tokens at scale, and keeping authorization decisions consistent across a distributed system.
• You have a solid comprehension of distributed systems security, including node-to-node mutual trust, zero-trust transport, partition tolerance and cluster state propagation.
• You have a deep knowledge of edge identity protocols (OAuth 2.0, SAML).
• You have a proven track record of using AI to accelerate development, debug complex systems, and optimize code, while still collaborating on the final outcomes.
• You possess the ability to collaborate across functions and teams and seamlessly transition between different projects, codebases, or teams based on business priorities.
• You can work autonomously, supporting decisions and results in a distributed team by leveraging asynchronous, direct, and transparent communication.

Bonus Points:

• Knowledge of cipher suites, TLS handshakes, and PKI/certificate lifecycle management.
• Cryptographic methods considering memory usage and delays.
• Familiarity with the implications of Post-Quantum Cryptography (PQC) and readiness to support the migration of services to quantum-resistant cryptographic algorithms.
• Hands-on experience mapping engine-level technical controls to FedRAMP (Moderate/High), FIPS 140, and SOC 2 requirements.
• Experience working on the internals of a data store or search engine.

The typical starting salary range for this role is: 307,800 zł-486,900 zł PLN

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As a Senior Developer Advocate with a focus on content creation, you will publish deep-dive videos that connect search, vector databases, and agentic workflows. You will stay up to date with the latest trends in search and AI or observability to cover what's new and exciting for our users.

Your activities will include:

• Creating high-quality technical videos focused on search, AI/ML, observability and Elasticsearch as a platform.
• Exploring and explaining how Elasticsearch integrates with other tools and protocols in the ecosystems.
• Prototyping and publishing sample applications showing end-to-end Search + AI or observability use cases.
• Bringing a creative twist to Elastic's content creation to keep existing users engaged and capture new audiences.
• Providing feedback to product and engineering teams based on your hands-on experience and community interactions.

To be successful in this role, you will need:

• A proven track record of creating highly technical and engaging videos.
• Strong technical background and experience in an engineering role.
• Empathy for the community to help them solve their issues, provide internal feedback to make Elastic’s products better, and fix problems where possible.
• Comfortable working with a highly distributed team.
• Experience working self-driven and self-organizing.
• Excellent spoken and written communication skills in English.

The typical starting salary range for this role is: 301,700 zł-477,300 zł PLN

Benefits include:

• Competitive pay based on the work you do here and not your previous salary
• Health coverage for you and your family in many locations
• Ability to craft your calendar with flexible locations and schedules for many roles
• Generous number of vacation days each year
• Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
• Up to 40 hours each year to use toward volunteer projects you love
• Embracing parenthood with minimum of 16 weeks of parental leave

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We're looking for a Senior Software Engineer to join our Streams UI team, where you'll have the chance to shape and enhance our user interface, making it more intuitive and engaging for our users.

What You Will Be Doing

• Design and implement intuitive user interface components that enhance user commitment, using TypeScript, React, and Node.js. Integrate front-end elements seamlessly with back-end services to ensure a smooth user experience. Conduct usability testing and gather user feedback to drive continuous improvements.

• Own complex, loosely-defined problems end-to-end: shape the approach, split the work if needed, make the key technical decisions, and deliver.

• Lead discussions on architecture and system design. During these discussions, consider trade-offs. Also, think about backwards compatibility, performance, and scale.

• Establish coding standards and ensure the team adheres to them throughout the development process. Promote reusable components to improve efficiency and implement automated testing and deployment to maintain code quality. Evaluate new technologies for potential integration and document best practices to facilitate team-wide knowledge sharing.

• Conduct thorough code reviews to ensure adherence to coding standards and best practices. Offer constructive feedback and identify potential security vulnerabilities in the codebase. Focus on maintaining code readability and facilitate discussions with team members to address any findings from the code review.

• Collaborate async across timezones with a fully-distributed team, working in the open on GitHub and in Slack.

• Partner closely with designers and product managers to apprehend user experience goals and translate their mockups into functional UI components. Ensure a consistent visual design across all UI elements. Participate in brainstorming sessions to generate innovative ideas for enhancing the user interface.

What You Bring

• Solid production experience with full-stack JavaScript, preferably TypeScript ; React on the front end and Node.js on the back end. Some experience with Reactflow is a plus.

• A track record of leading non-trivial projects end-to-end, with real design ownership and minimal guidance.

• Proficient architecture and system-design judgment, including in large, existing codebases.

• Successfully designed and launched multiple user interface components that significantly increased user commitment

• You should have experience using AI-assisted development tools. These tools can help you develop features faster, fix complex systems, and improve existing codebases.

• Exemplary written and verbal communication, and a genuine excitement for async collaboration and knowledge-sharing.

• A multiplier mindset ! you make the engineers around you better.

• A generalist streak and a user-focused mindset, with consideration for the people using your software.

Bonus Points

• Experience with the Elastic stack, observability tooling, or log/data-ingestion pipelines.

• Go, Kubernetes, or cloud-native application development experience.

• Experience building large user interfaces that manage a lot of data. This includes skills in search, filtering, and tables. You should also have experience working with streaming or real-time data.

• Prior open-source / working-in-the-open experience, or time on a developer-facing platform team.

• Experience mentoring engineers or leading a small project team.

The typical starting salary range for this role is: 307 800 zł-486 900 zł PLN

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As part of this mission, we partner with rapidly scaling AI, SaaS, and digital-first organizations to build elite commercial teams capable of driving predictable revenue.

This opportunity is with one of our high-growth partner companies , a business operating at the forefront of outbound-led revenue generation and high-ticket B2B sales.

The Opportunity We are hiring a high-performing B2B Sales Representative (Cold Email Outbound Closer) on behalf of one of our clients. This is a full-cycle closing role responsible for converting outbound-generated leads into qualified opportunities, running executive-level sales conversations, and closing mid-to-high-ticket deals.

This role is ideal for commercially sharp sellers who thrive in performance-driven environments and know how to turn cold outreach into real revenue. Fluent English and executive communication confidence are mandatory.

Work Model: Remote | Full-Time (9 hours/day minimum)

What You’ll Own

• Run discovery and sales calls with outbound prospects
• Execute the full sales cycle: qualification → discovery → demo → negotiation → close
• Convert cold email leads into revenue opportunities
• Apply structured qualification frameworks to assess deal viability
• Lead objection handling and commercial negotiations
• Deliver high-impact, ROI-focused product demonstrations
• Send proposals, manage follow-ups, and secure signed agreements
• Maintain a consistently healthy pipeline
• Update CRM daily and manage sales administration (~1 hr/day)
• Provide structured end-of-day pipeline reporting
• Partner with SDR and leadership teams to optimize outbound performance

Requirements

Experience

• 2–3+ years proven B2B sales experience with documented quota achievement
• Full-cycle sales experience (mandatory)
• Strong outbound experience (cold email/cold outreach)
• Closed mid-to-high-ticket deals
• Experience in consultative, not transactional, selling

Skills

• Fluent English (A Must Have)
• Strong discovery, qualification, and negotiation skills
• Able to uncover real problems and identify red flags early
• Handles pressure well and reframes concerns effectively
• Commercially strong; understands business models, ROI, and executive communication
• Strong written and verbal communication

Mindset

• High resilience and rejection tolerance
• Takes full ownership of pipeline and results
• Money-motivated and driven to win
• Problem-solver who figures things out independently
• Coachable but not dependent on micromanagement
• Follows processes and contributes improvements

Success Metrics

• 6+ discovery calls/day
• 15+ sales calls/week
• 60%+ discovery → sales call conversion
• 25–30% sales call → closed deal conversion
• 20–30% disqualification rate
• 15 deals closed/month
• 100%+ quota attainment
• Pipeline always accurate and updated

Benefits

Why This Role Stands Out

• Competitive full-time compensation
• Fully remote flexibility
• Direct impact on revenue growth
• Work alongside experienced commercial leaders
• Operate in a high-performance sales culture
• Significant upside for top performers
• Long-term growth within a scaling global business

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The Platform Engineering Productivity team operates the CI, CD, and Release infrastructure for the company. We ensure developers can efficiently and safely deploy changes across our various environments and at scale. In an age of AI, the landscape is evolving rapidly from scaling needs to, more than ever, securing our supply chain.

We're looking for a proactive systems thinker who delivers on business-driven projects while identifying and driving the work that keeps our infrastructure ahead before scaling and security challenges become problems.

Responsibilities

• Define the roadmap and technical vision for CI/CD, from problem identification through org-wide adoption.
• Identify where CI/CD is a bottleneck, a source of friction, or a security risk before it becomes an incident, and drive the remediation rather than waiting to be assigned it.
• Design and enforce release gates covering supply chain integrity, artifact provenance, and release readiness, built to scale across teams without becoming a tax on engineering velocity.
• Direct engineers on your team through complex, multi-quarter projects: break down the architecture, assign the work, and own the outcome even when the execution is distributed.
• Drive clear technical communication and alignment across teams, and produce high-quality documentation for systems, processes, and architectural decisions.
• Serve as Incident Commander on high-severity supply chain or release incidents, and use each incident as a forcing function for structural improvements.
• Raise the engineering bar across the org through code review, mentorship, design review, and by setting standards others adopt voluntarily.
• Remain hands-on at the right depth: you'll review code, prototype approaches, and debug production issues, but your primary leverage at this level is through the work of others, not your own output.

Requirements

• Deep expertise in CI/CD and what it takes to harden a release pipeline against supply chain attacks.
• Strong debugging instincts across the full pipeline stack: you trace failures from test runner to artifact store to cluster deployment without needing a specialist for each layer.
• Hands-on with CI infrastructure (Buildkite, GitHub Actions, or equivalent), GitOps/ArgoCD, and Kubernetes.
• You use AI to accelerate your own work and your team's and you understand AI's impact on supply chain security and scale.
• A track record of multi-quarter, cross-org ownership: you've identified the right problem, designed the solution, and gotten organizations that didn't report to you to change how they work.
• The judgment to push back on a prescribed plan when it's the wrong call, and the credibility to get alignment on a better approach.
• Experience directing the work of other engineers toward outcomes not just collaborating, but breaking down complex problems into executable work and holding the outcome.

Compensation and Benefits

The typical starting salary range for this role is: 369,400 zł - 584,300 zł PLN Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave

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Elasticsearch powers search, observability, and AI retrieval (RAG) for the world's largest organizations. We are seeking a Senior Software Engineer to join the Elasticsearch Performance team. In this role, you will contribute to performance engineering initiatives through high-quality code and technical analysis. Your goal is to help improve the optimization and predictability of Elasticsearch performance, collaborating with area-specific teams to enhance our software.

Responsibilities

• Contributing to core performance engineering initiatives from development to production, focusing on the delivery of impactful optimizations. Executing technical designs and plans for architectural and code-level performance improvements.
• Implementing foundational performance models and methodologies for complex, distributed systems.
• Supporting optimization strategies to ensure Elasticsearch remains performant, predictable, and scalable in diverse environments.
• Profiling and analyzing system behavior to identify bottlenecks in logging, metrics, vector search, and ES|QL.
• Ensuring robust performance benchmarks and regression detection for both stateful and stateless (Serverless) architectures.
• Collaborating with peers across the team to apply performance-focused development practices into new features.
• Contributing to automation efforts by building AI-assisted optimization harnesses that streamline profiling, hypothesis testing, and benchmarking.
• Providing technical guidance and peer reviews to other engineers, fostering a culture of technical excellence.

Requirements

• You have deep knowledge of Java internals and JVM memory management. You understand how concurrency models work. You can write code that is high-performance, thread-safe, and lock-free. This experience includes working with large open-source and enterprise codebases.
• You have proven experience in profiling and optimizing distributed systems. This includes deep experience with benchmarking tools (e.g., JMH, Rally), identifying performance regressions, and implementing algorithmic or hardware-aware optimizations.
• You have a solid comprehension of distributed systems architecture, including partition tolerance, cluster state propagation, and scaling challenges in large-scale data stores.
• You have a proven track record of using AI or advanced tooling to accelerate optimization, debug complex performance issues, and automate benchmarking workflows.
• You possess the ability to collaborate effectively within a team environment, contributing to the success of performance engineering goals.
• You possess the ability to collaborate across functions and teams and seamlessly transition between different projects, codebases, or teams based on business priorities.
• You can work autonomously, drive decisions, and result in a distributed team by leveraging asynchronous, direct, and transparent communication.

Nice to Have

• Experience integrating high-performance native libraries (e.g., C++, Rust, SIMD-accelerated code) into Java applications.
• Deep knowledge of modern storage engine performance, index modes, or vector search optimizations.
• Experience defining and managing Performance SLAs and success criteria for distributed systems.
• Experience working on the internals of a large-scale data store or search engine.
• Experience working on the internals of a data store or search engine.

Compensation

The typical starting salary range for this role is: 307,800 zł - 486,900 zł PLN

Benefits

• Competitive pay based on the work you do here and not your previous salary
• Health coverage for you and your family in many locations
• Ability to craft your calendar with flexible locations and schedules for many roles
• Generous number of vacation days each year
• Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
• Up to 40 hours each year to use toward volunteer projects you love
• Embracing parenthood with minimum of 16 weeks of parental leave

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The Context Engine team builds the knowledge layer that AI agents use to work with enterprise data in Elasticsearch. As a Principal AI Engineer, you own the improvement loop of this product end to end: how agents, automations and skills behave in production, how we observe them, how we evaluate them, and how we ship changes to them safely.

Responsibilities

• Own the production improvement loop for Context Engine: understand how extraction automations, retrieval tools and memory behave, based on offline evaluations and customer conversations and telemetry.
• Define how we iterate on agents and skills safely: versioning and rollout of prompts, skills and automations, regression coverage, staged and shadow evaluation, and the guardrails that let us change behaviour without breaking customers.
• Design the telemetry we need to make data-informed engineering decisions: what to capture from agent traces, tool calls and knowledge retrieval, how it lands in Elasticsearch, and how it feeds evaluation, dashboards and the feedback loop.
• Partner with the data science team on evaluation strategy: golden datasets, evaluators to gate on quality, latency and cost.
• Raise the bar across the team: review designs and PRs, mentor engineers in eval-driven development, and write the technical proposals that shape the roadmap.

Requirements

• 10+ years of software engineering experience, with the recent years spent shipping and operating AI-driven products on real production traffic.
• A track record of eval-driven product improvement: you have diagnosed agent or LLM behaviour from traces and user feedback, designed the evaluation that exposed the problem, shipped the fix and measured the outcome.
• Direct experience building agents with state and memory, and iterating on prompts, skills and tool behaviour safely in production.
• Familiarity with MCP, including exposing public MCP servers and tools.
• Experience designing telemetry for AI systems, and using it to make engineering and product decisions.
• Strong backend engineering skills in either Python or TypeScript: APIs, stateful workflows, data pipelines and production services.
• Comfort working with data scientists, engineers, and product managers as peers, translating between measurement and shipping, and communicating trade-offs clearly.

Nice to Have

• Experience with agent frameworks such as LangGraph, CrewAI, Claude Agent SDK, or similar.
• Agentic retrieval experience, including knowledge representation.
• Practical Elasticsearch experience.

Compensation

The typical starting salary range for this role is: 369 400 zł-584 300 zł PLN

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The Observability Streams team at Elastic is building Elastic's unified data pipeline - the layer that connects where your data comes from to where it lands, with full control over how it's processed and routed along the way.

As a Senior software engineer on the Streams Backend team, you will help drive the design and development of new features across the Streams Backend service and Logstash, contribute to the OpenTelemetry Collector, and support our users and enterprise customers.

Responsibilities

• Designing and implementing new features for Logstash and its plugins in Java and JRuby.
• Designing, building, and operating core backend services for the Streams program in Golang.
• Adding new features, and making contributions to the Open Telemetry Collector in Golang.
• Solving hard distributed systems problems at scale.
• Maintaining, updating and improving existing code and dependencies while ensuring automated test coverage.
• Engaging with multiple public GitHub repositories and community forums.
• Providing Pull Request reviews and guidance to your peers.
• Collaborating with other teams to drive product goals.
• Working together with the support organization to help our customers, which will also include participating in an on-call rotation.

Requirements

• Ability to work in a remote-first, highly distributed environment, with top-notch verbal and written communication.
• Proficient analytical, problem solving, debugging skills and ability to find efficient solutions.
• Critical thinking, positivity, autonomy and adaptability.
• Expertise in at least one of Java, Golang and Ruby, and willingness to learn and work with the others and ability to adapt to regularly working in different codebases.
• Clear written communication and the ability to work proficiently in a remote-first, highly distributed team.
• A proven track record of using AI to accelerate development, debug complex systems, and optimize code, while still owning the final outcomes.

Benefits

• Competitive pay based on the work you do here and not your previous salary
• Health coverage for you and your family in many locations
• Ability to craft your calendar with flexible locations and schedules for many roles
• Generous number of vacation days each year
• Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
• Up to 40 hours each year to use toward volunteer projects you love
• Embracing parenthood with minimum of 16 weeks of parental leave

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We are looking for a Senior Software Engineer to join the Integrations Team and help us build how Elastic shows up inside the AI ecosystem. AI assistants and agentic tools are quickly becoming the place where developers start their work, and this role exists to make Elastic work in the tools and ecosystems that our users use.

Responsibilities

• You will build and evolve the Elastic MCP server and the infrastructure behind it, working primarily in Go.
• You will build the platform for universal agent skills: the portable format, the authoring and publishing tooling, and the linting that lets any team at Elastic ship a skill that runs across every agent.
• You will help set the correctness bar, making sure the skills and tools we ship are backed by evals rather than assumed to work.
• You will design and deliver integrations that make Elastic available inside third-party AI ecosystems.
• You will contribute to our Elastic CLI to enhance the efficiency of developers and their agents.
• You will be developing, maintaining, and supporting libraries, tools, and integrations related to the Elastic Stack, working in a mixture of languages including Go and Rust.
• You will bring product thinking to the team, holding and defending opinions on what we should build and why, informed by the ecosystem around us.

Requirements

• 8+ years of software engineering experience working on backend systems, services or libraries.
• Proficiency with AI/ML frameworks and a working understanding of LLMs, agents, agent skills and protocols such as MCP.
• Significant recent working experience of Go and (ideally) other languages.
• Knowledge of client-server networking, HTTP, and RESTful APIs.
• Comfort reading and contributing to codebases in languages you don't own, and no fear of picking up an unfamiliar one.
• Knowledge of industry best practices in software engineering.
• Product thinking: an interest in the wider ecosystem and strong opinions on what is worth building.
• A strong focus on usability and developer experience.
• Comfort with context-switching and with a space that changes quickly.
• A genuine interest in technology and an active interest in exploring multiple programming languages.
• Excellent communication, collaboration, and interpersonal skills, including in front of customers and external partners.
• A willingness to work as part of a remote, globally distributed team.
• Clear thinking, self-motivation, and the ability to learn and work independently.

Benefits

• Competitive pay based on the work you do here and not your previous salary
• Health coverage for you and your family in many locations
• Ability to craft your calendar with flexible locations and schedules for many roles
• Generous number of vacation days each year
• Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
• Up to 40 hours each year to use toward volunteer projects you love
• Embracing parenthood with minimum of 16 weeks of parental leave

XML job scraping automation by YubHub

We are on the lookout for a Senior Software Engineer to join our Elasticsearch team and focus on ensuring that the shared platform functionalities of Elasticsearch are easy to use, performant, maintainable, and secure.

The team’s mission is to create foundational infrastructure and shared functionality that enables engineers to develop, extend, and support Elasticsearch.

You will be a strong individual contributor on the team, but you will also contribute to and lead cross-team projects.

What You Will Be Doing

• Contributing to large, impactful projects that evolve the core infrastructure that underpins Elasticsearch.
• Making Elasticsearch developers more productive by identifying and developing opportunities for automation, and integrating agentic apps into development workflows.
• Designing and implementing new horizontally-scalable features and APIs in Elasticsearch.
• Solving difficult issues, including performance or concurrency issues, and proposing solutions.
• Improving operation and observability of Elasticsearch cloud systems.
• Collaborating in the open with the ES team, Elastic users, and other supporting open source projects.
• Supporting our support engineers with the harder problems.
• Owning operational investigations end-to-end, until performance or stability issues are successfully resolved.

What You Bring

• Experience crafting APIs and the ability to reason through tradeoffs.
• Proficient in algorithms and data structures.
• You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as newer language features.
• Experience with low-level Java such as concurrency, parallelism, classloaders, etc.
• Hands-on experience with CI/CD systems and practices (Buildkite, Argo CD, GitOps etc).
• Experience leading large scale projects across engineering teams.
• Willingness to dive into new issues and ask for help when you need it.
• You are able to own projects from beginning to end.
• You have a proven track record of using AI to accelerate development, debug complex systems, and optimize code, while still owning the final outcomes.
• You possess the ability to collaborate across functions and teams and seamlessly transition between different projects, codebases, or teams based on business priorities.
• You can work autonomously, drive decisions and results in a distributed team by leveraging asynchronous, direct, and transparent communication.

Bonus Points

• Knowledge of JDK internals: modules, the Java memory model, garbage collection, database load, caching techniques, etc.
• Experience with observability and telemetry solutions, particularly OpenTelemetry.
• Knowledge of Go.
• Knowledge of containers and Kubernetes.
• Knowledge of Java build tools (Gradle, Maven, etc), with a strong preference for Gradle experience.
• Experience working in a platform team or developer productivity team.

The typical starting salary range for this role is: 307,800 zł-486,900 zł PLN

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We're looking for a Principal Software Engineer to join the Elasticsearch - Search Infra team. This globally-distributed team of experienced engineers focuses on delivering a robust and feature-rich search experience, including contributing to improving the search experience in Lucene.

As a Principal Software Engineer, you will define, lead, and contribute to the evolution of core search and indexing capabilities. You'll research advances in search infrastructure, data structures, and retrieval algorithms to ensure we're building the most efficient and powerful foundations for our users.

Responsibilities:

• Define, lead, and contribute to the evolution of core search and indexing capabilities
• Research advances in search infrastructure, data structures, and retrieval algorithms
• Work closely with partners and product teams to understand their needs and help shape the long-term technical vision for search at Elastic
• Bring past experience with large-scale search systems to drive an innovative roadmap for Elasticsearch's indexing, query execution, and relevance layers

Requirements:

• Experience leading technical projects in the search infrastructure and distributed systems space
• Experience mentoring expert engineers, providing both technical and professional guidance
• Experience defining a long-term technical vision for a core search or retrieval system
• Hands-on experience with search and indexing technologies such as Elasticsearch, Lucene, or Solr
• Strong skills in core Java and familiarity with advanced data structures and concurrency constructs

Bonus Points:

• You've built things with Elasticsearch before, and you have experience in the search and information retrieval space
• Experience working with open source projects and familiar with different styles of source control workflow and continuous integration

Compensation for this role is in the form of base salary. The typical starting salary range for this role is: 369 400 zł-584 300 zł PLN

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We’re hiring a Customer Support Representative to join our global support team and deliver fast, high-quality, and empathetic support to our clients. This is a hands-on, execution-focused role where you will be managing live chat interactions, resolving client queries, and ensuring a seamless support experience.

Key Responsibilities

• Client Support & Communication: Manage live chat and support channels, ensuring fast and accurate responses. Resolve client queries efficiently while maintaining a high standard of communication. Escalate complex issues to the appropriate teams when needed.
• Issue Resolution & Escalation: Identify and troubleshoot client issues across platform usage, onboarding, and workflows. Handle support tickets and follow through until resolution.
• Knowledge Base Contribution: Follow and utilize internal documentation and SOPs effectively. Contribute to improving FAQs and knowledge base content.
• Operational Support: Maintain accurate records of interactions in support systems. Support internal teams with insights on client feedback and common pain points.

Requirements

• 2–4 years of experience in Customer Support, Customer Service, or similar client-facing roles
• Experience handling live chat or ticket-based support environments
• Experience in SaaS, PaaS, AI, or tech environments
• Experience working with global teams across time zones
• Strong written English communication skills
• Familiarity with support tools (Intercom, Zendesk, Freshdesk, etc.)
• Exposure to CRM tools and customer workflows
• Basic understanding of AI tools or automation workflows
• Fluent in English
• Available during Eastern Time business hours

Benefits

• Remote-first environment with global exposure
• Opportunity to grow within Customer Success and Operations

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Responsibilities:

• Ingest security telemetry into Elasticsearch, integrating with third-party and cloud provider APIs.
• Maintain the health of Elastic Cloud on Kubernetes clusters, including upgrades, capacity management, and index lifecycle management.
• Use Terraform to manage cloud infrastructure and Elasticsearch resources.
• Implement AI automation and tooling to reduce manual tasks.
• Ensure data quality and reliability, monitoring backfills and schema consistency.

Requirements:

• Experience operating Elastic and Elasticsearch in production.
• Proven track record of using AI to accelerate development and operations.
• Knowledge of Kubernetes, Terraform, and Python scripting.
• Eligibility to work in Department of Defense (DoD) Impact Level 4 or above cloud service environments.

Nice to Have:

• Experience with cloud providers, preferably GCP.
• Knowledge of SOC operations and incident response workflows.
• Familiarity with GitHub and Continuous Integration (CI).

Benefits:

• Competitive pay based on the work you do.
• Health coverage for you and your family.
• Flexible locations and schedules.
• Generous number of vacation days.
• Matching up to $2000 for financial donations and service.
• Up to 40 hours for volunteer projects.
• Minimum of 16 weeks of parental leave.

The typical starting salary range for this role is: 307,800 zł - 485,000 zł PLN

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The Security EDR Workflows team is in charge of building core capabilities that power Elastic Defend management experience. Our focus is on delivering policy configuration and management capabilities, Elastic Defend and third-party providers response actions as forensics capabilities through OSquery.

As a Software Engineer on the Security EDR Workflows team, you will help build workflows and user-facing capabilities that get to our Elastic Defend agent to protect and respond against security threats.

Responsibilities

• Implement features that power Elastic Defend user interface capabilities.
• Contribute to the architecture of Elastic Defend management and response actions framework along with OSquery forensics capabilities.
• Develop scalable, high-performance systems within the Elastic ecosystem.
• Write production-grade code in TypeScript/Node.js (and potentially other languages) as part of high-quality, well-tested codebase.
• Collaborate with other Elastic engineering teams when working on cross-team efforts.
• Help with engineering standards, tooling, and team processes improvements driven by AI usage.
• Participate in code reviews.
• Work with a globally distributed team of skilled engineers focused on delivering Elastic Defend and OSquery capabilities from Kibana point of view.
• Collaborate with team members on large product features.
• Use AI to supercharge development work.

Requirements

• Basic knowledge of Node.js and React.js skills. TypeScript is a plus.
• Take advantage of AI for better comprehension of complex problems and quickly ramping up into solutions.
• Have an AI-powered development mindset.
• Curious and want to engage in team meetings.
• Comfortable developing collaboratively. Giving and receiving feedback on code and approaches, even asynchronous over different time zones.
• An initiative-taking mindset: ask the right questions, don't make assumptions, and look for ways to improve both product and engineering processes.

Benefits

• Competitive pay based on the work you do here and not your previous salary
• Health coverage for you and your family in many locations
• Ability to craft your calendar with flexible locations and schedules for many roles
• Generous number of vacation days each year
• Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
• Up to 40 hours each year to use toward volunteer projects you love
• Embracing parenthood with a minimum of 16 weeks of parental leave

XML job scraping automation by YubHub

We're looking for a Senior Software Engineer to join the Elasticsearch - Search Relevance team. This globally-distributed team of expert engineers focuses on delivering a robust and feature-rich search experience, including contributing to improving the search experience in Lucene.

What You Will Be Doing

• Lead initiatives within Elasticsearch to produce an industry-leading search engine offering, supplying unparalleled speed and relevance in search.
• Contribute to Elasticsearch full time, building new search features and fixing intriguing bugs, all while making the code easier to understand.
• Work with a globally distributed team of experienced engineers focused on the vector search capabilities of Elasticsearch.
• Be an expert on Elasticsearch search relevance. You'll identify and drive improvements in this area based on your questions and your instincts.
• Write idiomatic modern Java -- Elasticsearch is 99.8% Java!

What You Bring

• You have implemented novel techniques in vector similarity on a search platform with a large user base or progressed the field of academic research in vector similarity information retrieval.
• Professional experience with search or vector databases, and you used HNSW, IVF, or other relevant algorithms and libraries on search platforms at scale.
• You have solid skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as other features like lambdas.
• You work with a high level of autonomy and are able to take on projects and guide them from beginning to end.
• You're comfortable developing collaboratively.
• You've used several data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra and have some idea how they work and why they work that way.

Bonus Points

• You've built things with Elasticsearch before.
• You've worked with open source projects and are familiar with different styles of source control workflow and continuous integration.
• Experience with data storage technology.
• You have experience designing, leading, and owning cross-functional initiatives.

The typical starting salary range for this role is: 307,800 zł-486,900 zł PLN

Additional Information - We Take Care of Our People

• Competitive pay based on the work you do here and not your previous salary
• Health coverage for you and your family in many locations
• Ability to craft your calendar with flexible locations and schedules for many roles
• Generous number of vacation days each year
• Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
• Up to 40 hours each year to use toward volunteer projects you love
• Embracing parenthood with minimum of 16 weeks of parental leave

XML job scraping automation by YubHub

We're looking for a Senior Software Engineer to join the Elasticsearch - Search Relevance team. This globally-distributed team of expert engineers focuses on delivering a robust and feature-rich search experience, including contributing to improving the search experience in Lucene.

Responsibilities:

• Lead initiatives within Elasticsearch to produce an industry-leading search engine offering, supplying unparalleled speed and relevance in search.
• Contribute to Elasticsearch full time, building new search features and fixing intriguing bugs, all while making the code easier to understand.
• Work with a globally distributed team of experienced engineers focused on the vector search capabilities of Elasticsearch.
• Be an expert on Elasticsearch search relevance.
• Work with community members from all over the world on issues and pull requests.
• Write idiomatic modern Java.

Requirements:

• Professional experience with search or vector databases.
• Solid skills in core Java.
• Experience working with a high level of autonomy.
• Comfortable developing collaboratively.
• Proven track record of using AI to accelerate development.
• Ability to collaborate across functions and teams.

Benefits:

• Competitive pay
• Health coverage for you and your family
• Flexible locations and schedules
• Generous number of vacation days
• Increase your impact
• Up to 40 hours each year to use toward volunteer projects
• Embracing parenthood with minimum of 16 weeks of parental leave

The typical starting salary range for this role is: 307,800 zł-486,900 zł PLN

XML job scraping automation by YubHub

We're looking for a Principal Software Engineer to join the Elasticsearch - Search team. This globally-distributed team of expert engineers focuses on delivering a robust and feature-rich search experience, including contributing to improving the search experience in Lucene.

What You Will Be Doing

• Lead initiatives within Elasticsearch to produce an industry-leading vector database offering, supplying unparalleled speed and relevance in search.
• Contribute to Elasticsearch full time, building new search features and fixing intriguing bugs, all while making the code easier to understand.
• Work with a globally distributed team of experienced engineers focused on the vector search capabilities of Elasticsearch.
• Be an expert on how Elasticsearch implements vector similarity in support of search relevance.
• Work with community members from all over the world on issues and pull requests.
• Write idiomatic modern Java -- Elasticsearch is 99.8% Java!

What You Bring Along

• You have implemented novel techniques in vector similarity on a search platform with a large user base or progressed the field of academic research in vector similarity information retrieval.
• Professional experience with vector similarity and vector databases, and you used HNSW, IVF, or other relevant algorithms and libraries on search platforms at scale.
• You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs.
• You work with a high level of autonomy, and are able to take on projects and guide them from beginning to end.
• You're comfortable developing collaboratively.
• You have excellent verbal and written communication skills.
• You have a proven track record of using AI to accelerate development, debug complex systems, and optimize code.
• You possess the ability to collaborate across functions and teams and seamlessly transition between different projects, codebases, or teams based on business priorities.
• You work autonomously and can drive decisions and results in a distributed team.

Bonus Points

• You've built things with Elasticsearch before.
• You've worked with open source projects and are familiar with different styles of source control workflow and continuous integration.
• Experience with data storage technology.
• You have experience designing, leading and owning cross-functional initiatives.

The typical starting salary range for this role is: 369 400 zł-584 300 zł PLN

XML job scraping automation by YubHub

We're looking for a Principal Software Engineer to join the Elasticsearch - Search team. This globally-distributed team of expert engineers focuses on delivering a robust and feature-rich search experience, including contributing to improving the search experience in Lucene.

What You Will Be Doing

• Lead initiatives within Elasticsearch to produce an industry-leading vector database offering, supplying unparalleled speed and relevance in search.
• Contribute to Elasticsearch full time, building new search features and fixing intriguing bugs, all while making the code easier to understand.
• Work with a globally distributed team of experienced engineers focused on the vector search capabilities of Elasticsearch.
• Be an expert on how Elasticsearch implements vector similarity in support of search relevance.
• Work with community members from all over the world on issues and pull requests.
• Write idiomatic modern Java -- Elasticsearch is 99.8% Java!

What You Bring Along

• Professional experience with vector similarity and vector databases.
• Strong skills in core Java and conversant in the standard library of data structures and concurrency constructs.
• Autonomy to take on projects and guide them from beginning to end.
• Comfortable developing collaboratively, giving and receiving feedback on code and approaches.
• Excellent verbal and written communication skills.
• Proven track record of using AI to accelerate development, debug complex systems, and optimize code.
• Ability to collaborate across functions and teams.

Bonus Points

• You've built things with Elasticsearch before.
• You've worked with open source projects.
• Experience with data storage technology.
• Experience designing, leading and owning cross-functional initiatives.

The typical starting salary range for this role is: 369,400 zł-584,300 zł PLN.

Additional Information - We Take Care of Our People

• Competitive pay.
• Health coverage for you and your family.
• Flexible locations and schedules.
• Generous number of vacation days each year.
• Increase your impact - We match up to $2000 for financial donations and service.
• Up to 40 hours each year to use toward volunteer projects.
• Embracing parenthood with minimum of 16 weeks of parental leave.

XML job scraping automation by YubHub

Elasticsearch powers search, observability, and AI retrieval for the world's largest organisations. We are seeking a Principal Software Engineer to join the Elasticsearch Performance team. In this role, you will lead architectural and code-level performance engineering initiatives. Your goal is to drive the continuous optimisation and predictability of Elasticsearch performance, partnering with area-specific teams to unlock the full potential of our software.

Responsibilities

• Owning core performance engineering initiatives from architecture to production, focusing on the delivery of high-impact optimisations. Leading the technical design, plan, and execution for major architectural and code-level performance improvements.
• Developing foundational performance models and methodologies for complex, distributed systems.
• Driving optimisation strategies to ensure Elasticsearch remains performant, predictable, and scalable in diverse environments.
• Profiling and analysing system behaviour to identify bottlenecks in logging, metrics, vector search, and ES|QL.
• Ensuring robust performance benchmarks and regression detection for both stateful and stateless (Serverless) architectures.
• Collaborating across the company to embed performance-first thinking into new features from the outset.
• Drive automation efforts by designing and building AI-assisted optimisation harnesses that streamline profiling, hypothesis testing, and benchmarking.
• Mentoring and coaching other engineers, fostering a culture of technical excellence and performance-aware development.

Requirements

• You have deep knowledge of Java internals and JVM memory management. You understand how concurrency models work. You can write code that is high-performance, thread-safe, and lock-free. This experience includes working with large open-source and enterprise codebases.
• You have proven experience in profiling and optimising distributed systems. This includes deep experience with benchmarking tools (e.g., flamegraphs, JMH, Rally), identifying performance regressions, and implementing algorithmic or hardware-aware optimisations.
• You have a solid comprehension of distributed systems architecture, including partition tolerance, cluster state propagation, and scaling challenges in large-scale data stores.
• You have a proven track record of using AI or advanced tooling to accelerate optimisation, debug complex performance issues, and automate benchmarking workflows.
• You possess the ability to collaborate across functions and teams, acting as a force multiplier for performance engineering across the organisation.
• You possess the ability to collaborate across functions and teams and seamlessly transition between different projects, codebases, or teams based on business priorities.
• You can work autonomously, drive decisions and result in a distributed team by leveraging asynchronous, direct, and transparent communication.

Nice to Have

• Experience integrating high-performance native libraries (e.g., C++, Rust, SIMD-accelerated code) into Java applications.
• Deep knowledge of modern storage engine performance, index modes, or vector search optimisations.
• Experience defining and managing Performance SLAs and success criteria for distributed systems.
• Experience working on the internals of a large-scale data store or search engine.
• Experience working on the internals of a data store or search engine.

Compensation

The typical starting salary range for this role is: 369,400 zł - 584,300 zł PLN.

Benefits

• Competitive pay based on the work you do here and not your previous salary.
• Health coverage for you and your family in many locations.
• Ability to craft your calendar with flexible locations and schedules for many roles.
• Generous number of vacation days each year.
• Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service.
• Up to 40 hours each year to use toward volunteer projects you love.
• Embracing parenthood with a minimum of 16 weeks of parental leave.

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We're looking for a Principal Product Manager to guide the vision, strategy, and execution for Identity Threat Detection and Response (ITDR) within Elastic Security. Attackers not only break in - they log in. Identity is now a major target for attacks. These attacks can happen in on-premises setups, cloud environments, or with self-directed agents. Detecting and responding to identity-based attacks is essential for any modern Security Operations Center (SOC).

In this high-impact role, you will define how Elastic detects, investigates, and responds to identity-based threats, building on our Entity Analytics and Entity Store foundation to deliver a credible, differentiated ITDR function. You will also own the roadmap for securing non-human and AI agent identities within Elastic Security, one of the fastest-growing and least-governed attack surfaces in the enterprise. You will work at the intersection of identity, detection engineering, and AI, partnering with threat researchers, data scientists, and engineers, and evangelizing our approach to a global community of security practitioners.

Responsibilities

• Define and own the vision, strategy, and roadmap for a credible ITDR function within Elastic Security, evolving our Entity Analytics and Entity Store foundation from behavioral analytics into an identity-defense outcome.
• Manage the plan for non-human and AI agent identities in Elastic Security. This involves modeling service accounts, workloads, secrets, and self-directed agents as important identities. Each identity will have its own behavior standards, ownership, and lifecycle. You will also establish how to detect identities that operate continuously and at machine scale.
• Work with threat research and detection engineering. Focus on identity-specific threats. These threats include credential access, privilege escalation, and identity-based lateral movement. They also involve the abuse of identity providers and tokens. Ensure that these threats relate to real-world adversary tactics.
• Drive the response and containment strategy. This is the 'R' in ITDR. Turn detections into action. Use identity-system integrations and automated responses. Make sure there is human oversight for important actions.
• Work closely with our enterprise customers. Collaborate with security operations teams, sales, and solution architects. Your goal is to understand the requirements for identity attacks. You will also discuss priorities and clarify product needs.
• Work with the design team to develop investigation and response experiences. These experiences will emphasize identity in the analyst workflow. Integrate identity signals with endpoint, cloud, and network data in the SIEM and XDR functions of our security operations platform.
• Gain deep knowledge of the identity-security market. Know its major trends and the changing threat landscape. Use this information to develop a unique strategy and engage with analysts.
• Be the product expert and evangelize Elastic's identity capabilities through content such as blog posts, talks, and open community interaction.

Requirements

• Extensive Experience: 10+ years of experience in product management or solution delivery for security products such as SIEM, XDR, EDR, identity security, or detection and response. A consistent record of leading sophisticated, data-intensive products from inception through launch and iterative growth.
• Identity Security Depth: A solid knowledge of identity-based attack techniques and the identity fabric. This includes Active Directory, cloud identity providers, SSO, OAuth, and privileged access. It also involves knowing how identity threats can occur in both on-premises and cloud environments. Knowledge of ITDR as a discipline and with entity behavioral analytics (UEBA).
• You need to be fluent in non-human identities. This includes service accounts, workloads, secrets, and AI agents. You should also understand why traditional human-identity rules don't apply to identities that act independently and continuously.
• AI and ML Fluency: Deep technical comprehension of the AI/ML landscape, including behavioral analytics, anomaly detection, LLMs, and agentic systems. You are comfortable working closely with data scientists and engineers, and you treat AI agents both as a subject to be secured and as a tool that consumes identity context.
• Bias to action: You are able to advance fast and quickly learn from experiments and tests. You utilize AI tools to help accelerate your processes and bring clarity to your decisions.
• Management and Influence: Demonstrated ability to lead across a matrixed organization, align multiple stakeholders toward a common vision, and drive execution in a dynamic, remote-first environment. You operate with the autonomy and judgment expected of a principal-level product leader.
• Communication Excellence: Outstanding spoken and written communication skills and practices. You can distill complex detection engineering and identity concepts into compelling narratives for both technical and non-technical audiences, including executive leadership.
• Customer Obsession: An interest for industry trends and a commitment to solving real-world customer problems. You are an advocate for the security analyst and detection engineer, and you are focused on building products that help defenders stay ahead of identity-based threats.

Benefits

• Competitive pay based on the work you do here and not your previous salary
• Health coverage for you and your family in many locations
• Ability to craft your calendar with flexible locations and schedules for many roles
• Generous number of vacation days each year
• Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
• Up to 40 hours each year to use toward volunteer projects you love
• Embracing parenthood with minimum of 16 weeks of parental leave

XML job scraping automation by YubHub

The successful candidate will be a true Technical Operator, designing and executing the marketing architecture with minimal oversight.

Responsibilities:

• Infrastructure Ownership & Strategy: Act as the technical architect for all marketing funnels, autonomously designing, implementing, and auditing data pathways.
• Tracking, Attribution & Financial Reconciliation: Implement and maintain comprehensive attribution tracking, define and enforce strict UTM frameworks, and debug data discrepancies.
• Reporting & Anomaly Detection: Build and maintain marketing campaign dashboards, guaranteeing 100% data fidelity and proactively identifying analytics anomalies.
• Funnel Operations: Oversee and optimize high-converting landing pages, set up clean split-testing parameters, and ensure zero leakage in data recording.
• Advanced Automation & System Architecture: Architect and manage robust workflows connecting external forms, CRM, Slack, Google Sheets, and email platforms.
• Email Ops & Deliverability Architecture: Direct the execution of multi-step behavioral email sequences and system triggers within the ESP.
• AI Orchestration: Leverage AI agents and advanced prompt engineering to accelerate team output and identify areas for AI integration.

Requirements:

• Ownership & Operator Mindset: Proven track record of owning marketing technology stacks entirely without oversight.
• High Horsepower & Agency: Ability to fill gaps with sensible architectural choices and explicitly document core assumptions.
• Automation Mastery: Extensive hands-on depth in advanced workflow automation tools (n8n strongly preferred).
• Deep Tracking Fluency: Experience with server-side tagging or webhooks to resolve numbers mismatches.
• Code Literacy: Comfortable working with custom REST APIs, raw JSON data manipulation, and webhooks.

Benefits:

• Training Provided: Onboarding process training, hands-on guidance using Asana and Slack, and ongoing mentorship.
• Remote Flexibility: Work from anywhere with a stable internet connection.
• Skill Growth: Gain elite experience in AI orchestration, advanced automation, and high-level marketing operations.
• Supportive Team: Collaborative environment valuing technical curiosity and professional growth.

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The rewards are sweet and include working with some of the brightest people in the industry, an aggressive compensation plan that rewards top performers, and the opportunity to collaborate on products that transform daily the way people work and play.

**Responsibilities:* Develop a highly optimized inference framework Run on the world's largest supercomputers and data centers Work in a dynamic and challenging environment on innovative, next-generation products at the forefront of technology in terms of performance, scalability, and features

**Requirements:* B.Sc. or equivalent experience in Computer Science or Software Engineering 6+ years of experience in modern C++ / C / Rust development 3 years of experience in Linux environment and familiarity with development tools Deep knowledge of the TCP/IP network stack Understanding of computer architecture and operating systems concepts

**Nice to Have:* Background in Linux internals and low-level software optimizations (benchmarking, bottleneck research, performance tuning) Experience in programming CUDA kernels is an advantage Familiarity with ML frameworks and LLMs Background in parallel programming / high-performance computing / RDMA technology

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You will also establish a streamlined process for autonomously training, assessing, and launching text-to-speech models. This encompasses implementing procedures for dynamic learning, as well as routines for fine-tuning and refreshing validation data.

Additionally, you will investigate cutting-edge approaches and strategies in machine learning, deep learning, and algorithms pertaining to text-to-speech technology.

We do not require any formal certifications, or degrees. Instead, we are seeking enthusiastic software engineers who can showcase solving impressively hard problems with artifacts such as past projects, designs, or GitHub contributions.

Requirements:

• 3+ years industry experience as a Machine Learning Engineer, with a key emphasis on constructing data pipelines, as well as developing and implementing machine learning models.

• Demonstrating the capacity to autonomously evaluate novel concepts or enhance current machine learning projects, with the potential outcome of contributing to published works.

• Extensive background in conducting exploratory research to enhance the excellence of gathered data, particularly within the realm of audio and text-to-speech domains.

XML job scraping automation by YubHub

We do not require any formal certifications, or degrees. Instead, we are seeking enthusiastic software engineers who can showcase solving impressively hard problems with artifacts such as past projects, designs, or GitHub contributions. We do require:

• 3+ years industry experience as a Machine Learning Engineer, with a key emphasis on constructing data pipelines, as well as developing and implementing machine learning models.

• Demonstrating the capacity to autonomously evaluate novel concepts or enhance current machine learning projects, with the potential outcome of contributing to published works.

• Extensive background in conducting exploratory research to enhance the excellence of gathered data, particularly within the realm of audio and text-to-speech domains.

This role is remote and can be executed globally. If you prefer, you can work from our offices in Bangalore, Dublin, London, New York, San Francisco, Tokyo, and Warsaw.

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We are seeking an experienced SAP Utilities Functional Consultant to join our team and support a greenfield SAP Cloud for Utilities implementation. This role focuses on the Meter-to-Cash process and requires deep expertise in SAP IS-U, market communication, billing, smart metering, and energy data management. You will work closely with clients to design and implement scalable, compliant, and future-ready solutions.

As a SAP Utilities Functional Consultant, you will have a broad business skill set including stakeholder management, problem-solving, and resilience. You will have experience in gathering, validating, synthesizing, documenting, and communicating data and information for a range of audiences. You will also have excellent interpersonal skills and strong written and verbal communication skills in country's official language(s) and English.

Your responsibilities will include supporting our clients with SAP IS-U and S/4HANA Utilities, especially in billing, market communication, energy data management, and smart metering. You will analyze business processes and design optimized SAP solutions tailored to DSO operations. You will lead integration and implementation of SAP modules across energy industry systems. You will manage project teams through concept realization, rollout, and quality assurance. You will take ownership of project management tasks and contribute to IT strategy development. You will collaborate with technical teams and contribute to solution architecture. You will mentor junior consultants and support hiring initiatives.

We are looking for someone with 10+ years of SAP IS-U experience in consulting or in-house roles. You should have deep expertise in at least one of the following areas: Marktkommunikation, Billing, Smart Metering/Device Management, or Energy Data Management. You should also have strong affinity for IT and experience with ABAP, debugging, and functional design. You should have proven ability to lead teams and manage complex SAP projects. You should have excellent analytical and problem-solving skills. You should have strong communication and stakeholder management abilities. You should have a Bachelor's degree in IT, Computer Science, Business, or related field.

Given that this is just a short snapshot of the role, we encourage you to apply even if you don't meet all the requirements listed above. We are looking for team members who strive to make an impact and are eager to learn. If this sounds like you and you feel you have the skills and experience required, then please apply now.

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We’re creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers.

But we’re not stopping there. We’re also building the Energy Network: a decentralised platform of smart devices that rewards users in Energy Dollars for electrifying their homes, shifting usage to off-peak hours, and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries.

In this role you will work closely within product to build the core digital infrastructure for a next-generation energy company. You will use your experience to engineer backend infrastructure that is second-to-none.

You'll be working across the back-end:

Constructing a real-time digital twin of our renewable generation and customer demand Developing messaging interfaces with our third-party providers Building high-volume pipelines for processing customer energy consumption Build the backend of a world class energy app

For this role, you should be able to think on your feet and adapt to new business needs as well as take ownership of projects and drive change.

The successful candidate will have demonstrable excellence as a Software Engineer, ideally 2+ years experience, proven ability to define and build complex systems, hands-on experience shipping highly-available production systems, and clear communication.

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We are looking for technically hands-on professionals to design and deliver client-centric intelligent systems and support business growth through strategic pre-sales and solutioning initiatives. As part of our growing Enterprise AI consulting practice, we deliver real-world business value through the convergence of AI agents, machine learning, and modern enterprise architecture.

Key Responsibilities: Design and implement AI agents using LangChain, CrewAI, or AutoGen for enterprise-grade use cases. Develop modular code for task decomposition, memory handling, and tool integration with APIs. Collaborate with AI strategists and architects on project design and MVP delivery. Conduct testing and fine-tuning of agent behavior using LLM APIs and embeddings. Participate in internal code reviews, documentation, and reusable framework building. Support pre-sales demos and client innovation sessions with hands-on prototypes.

Requirements: Bachelor's or Master's degree in Computer Science, AI, or related field. PhD preferred for architect-level roles. 3+ years in AI/ML, with recent experience in agentic systems and hands-on development of LLM-based applications. Strong experience with Python and orchestration libraries such as LangChain, LlamaIndex, Semantic Kernel, AutoGen, or similar. Deep knowledge of LLMs (GPT, Claude, LLaMA, Mistral, etc.), prompt engineering, agent memory, tool calling, and autonomous task execution. Experience with RFP/RFI support, and proposal creation in a consulting or enterprise services environment. Understanding of enterprise solutioning with cloud platforms (AWS, Azure, GCP), API integration, and data security best practices. Exceptional communication and consulting skills, with the ability to present solutions to both technical and non-technical stakeholders.

Preferred Skills: Strong proficiency in programming languages such as Python, Java, Spring, Maven, JSON. Object Oriented Programming Hands-on exposure to cognitive architectures, planning-based agents, or reinforcement learning in real-world deployments. Experience integrating AI agents into enterprise apps like Salesforce, ServiceNow, SAP, or custom apps via APIs. Understanding of AI observability, performance monitoring, and ethical guidelines in GenAI systems.

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You will have a broad business skill set including stakeholder management, problem-solving, and resilience. You will also have experience in gathering, validating, synthesizing, documenting, and communicating data and information for a range of audiences. Additionally, you will have excellent interpersonal skills and strong written and verbal communication skills in German (C2 proficiency) and English (C2 proficiency).

You will support integration of products via UPIL Schnittstelle, translate business needs into functional designs and specifications, advise Product Owners on user story feasibility and business impact, and collaborate in agile squads to deliver product increments.

Required qualifications include 5+ years of experience in SAP IS-U, especially in product and tariff configuration, familiarity with UPIL integration and SAP S/4HANA Utilities, experience in agile project environments, strong affinity for IT and experience with ABAP, debugging, and functional design.

Preferred qualifications include experience with SAP S/4HANA Utilities implementation and migration, knowledge of SAP Cloud for Utilities and cloud-based SAP solutions, familiarity with DSO-specific processes, SAP Certification in IS-U or S/4HANA Utilities, and experience in digital transformation projects for utility companies.

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You will play a pivotal role in designing and configuring SAP IS-U processes for EDM and Device Management in a greenfield SAP Cloud for Utilities environment. This includes working with smart metering infrastructure, interval data processing, and device lifecycle management. You will collaborate with solution architects, developers, and client stakeholders to deliver scalable, future-proof solutions aligned with regulatory and market demands.

As a Senior SAP IS-U Customizing Consultant, you will lead customizing and configuration of SAP IS-U modules for EDM and Device Management. You will design and implement cloud-native utilities processes using SAP Cloud for Utilities architecture. You will evaluate user stories, backlog grooming, and sprint delivery, collaborating with Product Owner and impact on reducing complexity.

You will also conduct client workshops, gather requirements, and translate them into functional designs. You will support end-to-end Meter-to-Cash process flows with a focus on data accuracy and automation. You will ensure compliance with energy market regulations and smart metering standards. You will provide guidance during testing, cutover, and hypercare phases. You will mentor junior consultants and contribute to internal capability building.

Required Qualifications:

• 10+ years of SAP consulting experience, with 5+ years in IS-U EDM and Device Management
• Proven experience in SAP IS-U customizing for utilities clients (DSO or supplier)
• Strong understanding of MaCo Cloud, MPM, and IDEX for market communication Including MSCONS, SAP IS-U data model, ABAP customizing, and sandbox development.
• Familiarity with smart metering protocols and device integration standards
• Experience with SAP Cloud for Utilities or S/4HANA Utilities (greenfield preferred)
• Experience with Migrations (mapping, transformation)
• Ability to debug and collaborate with ABAP developers

Preferred Qualifications:

• SAP Certification in IS-U or S/4HANA Utilities
• Experience with SAP BTP, Fiori, and cloud integration tools
• Exposure to German regulatory frameworks
• Experience in leading workstreams or managing functional teams

Given that this is just a short snapshot of the role we encourage you to apply even if you don't meet all the requirements listed above. We are looking for team members who strive to make an impact and are eager to learn. If this sounds like you and you feel you have the skills and experience required, then please apply now.

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Job Overview:

Infosys Consulting is at the forefront of applied AI innovation, delivering real-world business value through the convergence of AI agents, machine learning, and modern enterprise architecture. As part of our growing Enterprise AI consulting practice, we are looking for technically hands-on professionals to design and deliver client-centric intelligent systems and support business growth through strategic pre-sales and solutioning initiatives.

Key Responsibilities:

• Design, develop, and deploy autonomous AI agent ecosystems using frameworks such as LangChain, AutoGen, CrewAI, and Semantic Kernel.
• Architect LLM-powered workflows involving multi-agent collaboration, decision logic, memory management, and external tool integration.
• Collaborate with consulting teams to align AI agent solutions with business goals and industry use cases across sectors (FSI, Retail, Manufacturing, etc.).
• Participate in RFI/RFP responses, creating high-impact solution overviews, architectural diagrams, and effort/cost estimations.
• Work closely with AI Strategists, Engagement Managers, and Domain SMEs to define solution blueprints, MVP scopes, and transformation roadmaps.
• Engage in client workshops, demos, and innovation showcases to articulate the potential of Agentic AI and its enterprise applications.
• Contribute to the development of reusable agent templates, accelerators, and reference architectures within Infosys' AI frameworks.
• Stay current with GenAI advancements, toolchains, and research (LLMs, embeddings, vector DBs, agent planning/reasoning).
• Provide technical mentorship and hands-on support to junior consultants, helping shape internal capability development.
• Collaborate with cross-functional teams on AI governance, responsible AI practices, and integration into enterprise environments.

Requirements:

• Bachelor's or Master's degree in Computer Science, AI, or related field. PhD preferred for architect-level roles.
• 8+ years of experience in AI/ML, including 5+ years as a Solution Architect and 4+ years of hands-on development with LLMs and autonomous AI agents
• Strong experience with Python and orchestration libraries such as LangChain, LlamaIndex, Semantic Kernel, AutoGen, or similar.
• Deep knowledge of LLMs (GPT, Claude, LLaMA, Mistral, etc.), prompt engineering, agent memory, tool calling, and autonomous task execution.
• Experience with pre-sales, RFP/RFI support, and proposal creation in a consulting or enterprise services environment.
• Understanding of enterprise solutioning with cloud platforms (AWS, Azure, GCP), API integration, and data security best practices.
• Exceptional communication and consulting skills, with the ability to present solutions to both technical and non-technical stakeholders.

Preferred Skills:

• Hands-on exposure to cognitive architectures, planning-based agents, or reinforcement learning in real-world deployments.
• Experience integrating AI agents into enterprise apps like Salesforce, ServiceNow, SAP, or custom apps via APIs.
• Understanding of AI observability, performance monitoring, and ethical guidelines in GenAI systems.

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As an experienced SAP Utilities Functional Consultant, you will work closely with clients to design and implement scalable, compliant, and future-ready solutions for the Meter-to-Cash process. This role requires deep expertise in SAP IS-U, market communication, billing, smart metering, and energy data management.

Key responsibilities include:

• Supporting clients with SAP IS-U and S/4HANA Utilities, especially in billing, market communication, energy data management, and smart metering.
• Analysing business processes and designing optimized SAP solutions tailored to DSO operations.
• Leading integration and implementation of SAP modules across energy industry systems.
• Managing project teams through concept realization, rollout, and quality assurance.
• Taking ownership of project management tasks and contributing to IT strategy development.
• Collaborating with technical teams and contributing to solution architecture.
• Mentoring junior consultants and supporting hiring initiatives.

Required qualifications include:

• 10+ years of SAP IS-U experience in consulting or in-house roles.
• Deep expertise in at least one of the following areas: marktkommunikation, billing, smart metering/device management, or energy data management.
• Strong affinity for IT and experience with ABAP, debugging, and functional design.
• Proven ability to lead teams and manage complex SAP projects.
• Excellent analytical and problem-solving skills.
• Strong communication and stakeholder management abilities.

Preferred qualifications include experience with SAP S/4HANA Utilities implementation and migration, knowledge of SAP Cloud for Utilities and cloud-based SAP solutions, familiarity with German energy market regulations and DSO-specific processes, and SAP Certification in IS-U or S/4HANA Utilities.

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Responsibilities:

• Design and implement core backend services and data pipelines.
• Perform data-driven research using big data and leveraging Data Science toolset
• Document design choices and operational knowledge to successfully deploy and run services.
• Provide appropriate test coverage, unit and integration testing, with focus on performance and cost efficiency for your feature ownership areas.
• Ensure robust alerting, dashboards, and runbooks for production services are in place.
• Collaborate within the team and with other engineering teams to build new features and products according to business needs.
• Follow software design and development best practices and promote such practices in the team.

Requirements:

• 5+ years of professional experience working on backend systems in an enterprise environment
• 3+ years experience with data analysis / data science tasks and/or ML
• 2+ years experience programming in Python 2.x/3.x or Scala or Java
• Experience with AI development tools (especially agentic AI) is a plus
• Experience developing systems based on LLM is a plus
• Understanding of SOA, microservices, and event-driven architecture
• Experience with an enterprise-grade stack for scalable web apps including messaging broker, in-memory storages, NoSQL, and key-value databases
• Strong knowledge of TDD, Unit, and automated test paradigms
• Experience with SQL and RDBMS solutions
• Experience with large-scale data processing (Spark)
• Experience with Elasticsearch is a plus
• Experience with containerized applications, Docker, and Kubernetes
• Possess a DevOps mindset, AWS experience is a plus
• Bachelor’s Degree in Computer Science, Computer Engineering, or in a closely related discipline

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What you'll do

• Creating and upholding a reliable and expandable data management system specialized for text-to-speech projects.
• Establishing a streamlined process for autonomously training, assessing, and launching text-to-speech models.
• Investigating cutting-edge approaches and strategies in machine learning, deep learning, and algorithms pertaining to text-to-speech technology.

What you need

• 3+ years industry experience as a Machine Learning Engineer,
• Demonstrating the capacity to autonomously evaluate novel concepts or enhance current machine learning projects,
• Extensive background in conducting exploratory research to enhance the excellence of gathered data, particularly within the realm of audio and text-to-speech domains.

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