XML job scraping automation by YubHub

In this role, you'll work closely with frontend engineers, Product, UX, and Security to create reliable, scalable systems that support both technical and non-technical users across GitLab's planning experience. As part of GitLab's AI-first culture, you'll also use the Duo Agent Platform in your daily workflow to improve productivity and support faster iteration.

Some examples of our projects:

• Building AI agents such as the planner agent to support planning and knowledge management workflows
• Architecting MCP integrations that expose GitLab GraphQL APIs to external AI tools and platforms

As a senior engineer, you'll lead backend architecture for Wiki, Pages, Markdown, and text editor capabilities used across GitLab. You'll design and build AI agents that support planning and knowledge management workflows. You'll also architect MCP integrations that connect GitLab GraphQL APIs with external AI platforms and tools.

Key responsibilities include:

• Leading backend architecture for Wiki, Pages, Markdown, and text editor capabilities used across GitLab
• Designing and building AI agents that support planning and knowledge management workflows
• Architecting MCP integrations that connect GitLab GraphQL APIs with external AI platforms and tools
• Driving improvements in reliability and performance across application code, PostgreSQL queries, Redis usage, and background jobs
• Developing and evolving GraphQL APIs that are clear for frontend engineers and support scalable product experiences
• Collaborating with frontend engineers, Product, UX, and Security to break down complex work into shippable iterations
• Mentoring engineers through code review, technical discussions, and shared backend best practices
• Supporting incident response and production debugging, then turning learnings into lasting system improvements

Requirements include:

• Strong experience building and maintaining backend applications with Ruby on Rails, including core components such as ActiveRecord and Redis
• Experience designing and supporting GraphQL APIs with attention to usability, maintainability, and performance
• Knowledge of PostgreSQL query design, optimization, and scaling in high-traffic production systems
• Experience building or integrating AI agents, intelligent workflows, or related platform capabilities
• Familiarity with Model Context Protocol (MCP) or similar patterns for connecting APIs to external tools and platforms
• Ability to investigate production issues, debug complex systems, and improve reliability over time
• Experience leading technical decisions, mentoring engineers, and contributing to engineering standards across a team
• Clear communication and cross-functional collaboration skills, with openness to candidates who bring transferable experience from adjacent backend or platform work

The Plan: Knowledge group owns core knowledge management experiences in GitLab, including Wiki, Pages, Markdown, and Text Editors, and is expanding those foundations with AI-powered capabilities such as the planner agent and MCP-based integrations. The team includes 6 engineers and works with a Product Manager, Engineering Manager, Product Designer, and Technical Writer.

XML job scraping automation by YubHub

Your primary focus will be on two core pillars: Orchestration & Patterns, and Infrastructure Intelligence. In the former, you will build the platform that allows teams to productionize their own automations using durable execution frameworks and standardized IaC patterns. In the latter, you will create, source, and enrich critical infrastructure and organizational data and make it accessible and actionable for both humans and AI agents.

To succeed in this role, you will need to design and develop high-performance internal tools and APIs using Go (Golang) to manage infrastructure metadata and lifecycle. You will also design complex, long-running workflows using durable execution frameworks (like Temporal) to orchestrate tasks across Git, Cloud providers, and CI/CD pipelines. Additionally, you will develop and implement Model Context Protocol (MCP) servers and Agentic AI workflows to automate the creation, upgrading, and auditing of infrastructure configurations.

You will collaborate with Infrastructure, Security, and Development teams to design 'Infrastructure Intelligence' tools that provide deep insights into asset ownership and EOL lifecycles. Your expertise in Go (Golang), Temporal, MCP, and A2A frameworks will be crucial in driving the success of this project.

If you're a motivated and knowledgeable software engineer with a passion for building infrastructure tools, we encourage you to apply for this exciting opportunity.

XML job scraping automation by YubHub

This role sits at the center of GitLab's AI and security strategy: you'll build and support the engineering team, create predictable delivery across a multi-phase roadmap, and help bring visibility, control, and audit evidence into GitLab for customers with strict compliance needs.

You'll report to the SSCS Senior Engineering Manager and work closely with Product and Design partners to turn a fast-moving market need into a reliable product.

In your first year, you'll shape how the team operates, grow the organization, and drive delivery across core areas including the audit event system, policy enforcement capabilities, and governance reporting experiences.

This is a strong fit if you're energized by building teams and products at the same time, especially in areas where AI, compliance, and software supply chain security come together.

Responsibilities:

• Lead the AI Governance engineering team and support its growth as the product and roadmap expand, building a high-performing organization that delivers roadmap commitments on schedule.

• Own delivery planning and execution across the AI Governance roadmap, including audit events, registry and policy controls, and governance reporting, to ship key milestones on schedule and keep roadmap delivery predictable.

• Build the team by partnering with Talent Acquisition, running hiring processes, and helping attract backend engineering talent across levels to meet hiring goals tied to roadmap needs.

• Partner with Product, Design, and peer engineering leaders to prioritize work, plan capacity, and maintain clear alignment on scope and sequencing to reduce delivery delays and tradeoffs.

• Collaborate with the Duo Agent Platform team and other adjacent teams to deliver systems that work reliably across product boundaries and reduce integration issues in production.

• Develop engineers through regular 1:1s, performance feedback, and career development conversations in an all-remote environment to support team growth and improve retention.

• Drive engineering quality through strong testing practices, sound architecture, and a delivery cadence that builds customer trust and reduces production defects.

• Represent the team in stage planning and section-level leadership reviews, providing clear updates on progress, risks, and tradeoffs to support timely decisions and keep roadmap execution on track.

Requirements:

• Over 3 years of experience leading backend product engineering teams in areas such as security, compliance, observability, or AI-related systems.

• Technical knowledge of audit systems, event streaming, policy enforcement, or compliance tooling, with the ability to guide architectural decisions.

• Track record of hiring, developing, and supporting engineers across different levels and helping teams grow sustainably.

• Comfort working in an asynchronous, documentation-focused organization with collaborators across multiple time zones.

• Ability to manage cross-functional work involving Product, Design, Legal, and adjacent engineering teams.

• Familiarity with compliance, audit, or governance products, especially in environments serving regulated organizations.

• Understanding of AI agent infrastructure, large language model orchestration, or Model Context Protocol tooling, with the ability to apply that knowledge to technical direction and team planning.

• Ability to recognize transferable experience and evaluate candidates based on relevant skills across enterprise software, distributed systems, or regulated product environments.

About the team: The AI Governance team is part of GitLab's Software Supply Chain Security stage and focuses on making Duo agent activity inside GitLab auditable, policy-governed, and reportable for enterprise compliance use cases.

We work closely with a peer Engineering Manager, a Product Manager, and a Designer, and collaborate asynchronously with partner teams across regions to deliver governance capabilities that fit naturally into GitLab's platform.

Our work is centered on helping regulated customers adopt AI with confidence while GitLab expands its AI-powered offerings.

For more on how related teams work, see Team Handbook Page.

XML job scraping automation by YubHub

The ideal candidate is an Elastic product expert (including but not limited to Agent Builder and Workflows), using the full power of the Elastic Stack to provide the 'brain' and 'memory' for our agentic ecosystem.

As the company behind the popular open-source projects , Elasticsearch, Kibana, Logstash, and Beats , we help people around the world do great things with their data.

The Elastic family unites employees across 40+ countries into one coherent team, while the broader community spans across over 100 countries.

Responsibilities

• Agentic Strategy & Design: Invent and implement sophisticated agentic workflows that use reasoning and tools to complete end-to-end business processes.

• Enterprise Grounding: Apply Retrieval Augmented Generation (RAG) and the Elasticsearch Relevance Engine (ESRE) to ensure agents are deeply grounded in enterprise knowledge for high-accuracy task completion.

• AI Model & Tool Integration: Develop and fine-tune LLMs and integrate them with internal APIs and third-party SaaS tools to enable autonomous action.

• Scalable Infrastructure: Firm understanding of cloud-based environments (AWS, Azure, GCP) in order to support the high-concurrency demands of enterprise agents.

• Lifecycle Management: Oversee the training, deployment, and performance optimization of agents, ensuring they remain secure, reliable, and compliant.

• Technical Leadership: Act as a domain expert on the Elastic Stack, making technical recommendations that push the boundaries of AI-driven productivity.

• Documentation: Maintain comprehensive documentation of AI workflows, cloud infrastructure, and deployment processes.

• Security: Implement standards for security and data privacy to protect sensitive information and ensure compliance with relevant regulations.

Requirements

• 3-5 years of work experience in a relevant field.

• Minimum 1 year experience building with the Elastic Stack.

• Knowledge of Elasticsearch Relevance Engine (ESRE), Jina AI, and advanced RAG patterns is critical.

• Proven success in delivering independent GenAI projects, specifically those involving autonomous task completion or complex workflow automation.

• Agentic Frameworks: Familiarity with LangGraph, LangChain, and LangSmith for building and debugging multi-agent systems.

• Expertise in Enterprise Agentic & Workflow Platforms: Deep familiarity with leading agentic AI and workflow automation platforms (such as Microsoft Copilot Studio, Salesforce Agentforce, ServiceNow AI Agents).

• Market Trend Integration: Proven ability to apply emerging market trends,such as Multi-Agent Orchestration and Model Context Protocol (MCP),to build high-impact, cost-optimized solutions that scale across the enterprise.

• Programming: Experience with Python or TypeScript for backend logic and agent orchestration.

• Cloud & Orchestration: Familiarity with Kubernetes (Operators/Controllers), Docker, and Terraform for automated deployment.

• Model Expertise: Hands-on experience with LLM providers.

Bonus Points

• Bachelor’s or Master’s degree in Computer Science or a related engineering field.

• Strong communication skills with the ability to translate business requirements into technical agent architectures.

• A commitment to Ethical AI and responsible development practices.

• Experience with containerization and orchestration (e.g., Docker, Kubernetes).

• Knowledge of DevOps practices for model deployment and automation.

XML job scraping automation by YubHub

In this role, you will lead the People Products team in defining the blueprint for AI at work. You will help hire the best person in the world for every job, ensure manager effectiveness, ramp new hires successfully, and ensure that we apply first principles thinking in how we shape Anthropic's culture through the tools we build.

Responsibilities

• Build full-stack end-to-end across the People Products portfolio.
• Design and implement AI-native workflows: build tools, evals, prompts, and products. You'll help define what is possible in applied AI for people processes.
• Work directly with internal stakeholders , HR teams, recruiters, managers , to understand problems, gather feedback, and iterate quickly without waiting for requirements to be handed down. No gatekeeping, you are expected to talk to your customers.
• Make product and architecture decisions independently in a low-structure environment: knowing when to cut scope, when to ship, and when to ask for input.
• Contribute ideas for how the team works, what it builds, and where applied AI can have the most leverage in people workflows.

You Might Be a Good Fit If You:

• Have 4+ years of engineering management experience leading high-performing teams in ambiguous, early-stage environments.
• Derive joy from hard work and the act of creation.
• Have shipped LLM-native features or applications.
• Are experienced enough to build big features independently, and make great architectural decisions along the way.
• Are self-sufficient end-to-end: you can go from idea to production without needing a designer, PM, or architect to unblock you.
• Move fast without cutting corners: you hold a high quality bar and know how to make smart tradeoffs under time pressure.
• Engage directly with users and criticism: you’re comfortable talking to internal customers, hearing hard feedback, and incorporating it quickly.
• Are genuinely mission-driven: you care about the intersection of AI and people practices, not just the technical puzzle.
• Are a collaborative, supportive teammate: you bring people along, communicate clearly about tradeoffs, and make the people around you better.

Strong Candidates May Also Have:

• Familiarity with MCP (Model Context Protocol) or prior experience building Claude or LLM integrations in production.
• Background at an AI-native company or in a product-focused 0->1 engineering environment.
• Experience with HR tech platforms such as Greenhouse, Workday, or Rippling.

Logistics

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience.
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience.
• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position.
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

XML job scraping automation by YubHub

Are you interested in building innovative technology that shapes the financial markets? Do you like working at the speed of a startup, but want to solve some of the world’s most complex problems? Do you want to work with, and learn from, hands-on leaders in technology and finance?

At BlackRock, we are looking for Software Engineers who like to innovate and solve complex problems. We recognize that strength comes from diversity, and will embrace your unique skills, curiosity, drive, and passion while giving you the opportunity to grow technically and as an individual.

With over USD $14 trillion of assets, we have an exceptional responsibility: our technology empowers millions of investors to save for retirement, pay for college, buy a home, and improve their financial wellbeing.

Role details

Responsibilities

• Curious and eager to learn new things, with a healthy disrespect for the status quo
• Willing to embrace work outside of your comfort zone, and open to guidance from others; you make mistakes but learn from them
• Passionate about technology, with personal ownership for the work you do
• Data-focused, with an eye for the details that matter to solve the problem

Requirements

• Minimum of 5+ years software engineering work experience on large scale software development and deployment
• BSc/MSc or equivalent in Computer Science from an accredited university
• Programming skills in Java, Python and Golang, or a willingness to learn them
• Experience in Linux shell
• Experience with K8s
• Some level of knowledge would be nice to have on Okta and OAuth 2.0
• Comfortable using AI-assisted development tools (code generation/review) with strong validation and code quality discipline, given trust/verification remains a key engineering responsibility
• Understanding the emerging Model Context Protocol (MCP) ecosystem and how standardized modeltool interfaces relate to modern API standards (schema-first design, secure tool access, interoperability)

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

About BlackRock

At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

XML job scraping automation by YubHub

In case you hadn’t noticed, Anthropic is growing fast. Really, really fast. The People Products team exists to support Anthropic’s mission by defining the blueprint for AI at work. We help hire the best person in the world for every job, ensure manager effectiveness, ramp new hires successfully, and ensure that we apply first principles thinking in how we shape Anthropic’s culture through the tools we build. We cover the entire employee lifecycle from hiring to onboarding, teamwork, and promotions.

You’ll work directly with Claude, with access to capabilities no external team has, on problems that are genuinely unsolved. You’ll move fast — prototype to production in days or weeks. We believe in cross-functional thinkers who can reason across product, design, and engineering. You’ll be given high autonomy, own your decisions, and ship constantly. If you’ve experienced the pain of bad people practices and want to be the person who fixes them at the most consequential AI company in the world, this is that job.

Responsibilities

• Build full-stack end-to-end across the People Products portfolio.
• Design and implement AI-native workflows: build tools, evals, prompts, and products. You’ll help define what is possible in applied AI for people processes.
• Work directly with internal stakeholders — HR teams, recruiters, managers — to understand problems, gather feedback, and iterate quickly without waiting for requirements to be handed down. No gatekeeping, you are expected to talk to your customers.
• Make product and architecture decisions independently in a low-structure environment: knowing when to cut scope, when to ship, and when to ask for input.
• Contribute ideas for how the team works, what it builds, and where applied AI can have the most leverage in people workflows.

You Might Be a Good Fit If You:

• Have 4+ years of engineering management experience leading high-performing teams in ambiguous, early-stage environments
• Derive joy from hard work and the act of creation.
• Have shipped LLM-native features or applications.
• Are experienced enough to build big features independently, and make great architectural decisions along the way.
• Are self-sufficient end-to-end: you can go from idea to production without needing a designer, PM, or architect to unblock you.
• Move fast without cutting corners: you hold a high quality bar and know how to make smart tradeoffs under time pressure.
• Engage directly with users and criticism: you’re comfortable talking to internal customers, hearing hard feedback, and incorporating it quickly.
• Are genuinely mission-driven: you care about the intersection of AI and people practices, not just the technical puzzle.
• Are a collaborative, supportive teammate: you bring people along, communicate clearly about tradeoffs, and make the people around you better.

Strong Candidates May Also Have:

• Familiarity with MCP (Model Context Protocol) or prior experience building Claude or LLM integrations in production.
• Background at an AI-native company or in a product-focused 0->1 engineering environment.
• Experience with HR tech platforms such as Greenhouse, Workday, or Rippling.

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren’t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you’re interested in this work.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you’re ever unsure about a communication, don’t click any links—visit anthropic.com/careers directly for confirmed position openings.

How we’re different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single, unified team to advance the state of the art in AI. We believe that the best way to do this is to work together, share knowledge, and collaborate on the most important problems.

XML job scraping automation by YubHub

What you'll do

Implement AI solutions to enable efficiency, expansion, and transformation across EA Experiences, directly aligned with EA Experiences' goals. You will:

• Stay informed on the evolution of AI technologies and opportunities to drive efficiency, expansion, and transformation
• Have a deep understanding of AI technologies and solutions, specifically focusing on how they can be integrated into business processes and systems to enhance efficiency
• Collaborate EA Experiences teams to understand their business, processes, opportunities, and challenges.
• Identify opportunities for developing creative AI solutions that enable our teams to focus on creative and innovative work that keeps our fans at the center of what we do
• Be an AI evangelist, promoting the use of AI as a force-multiplier

What you need

• 4+ years experience rapidly prototyping and deploying robust production solutions incorporating software engineering, infrastructure, architectural, and security best practices
• Excellent Python development skills are required, C#, JavaScript, HTML, and CSS are strongly preferred
• Experience using agentic AI software engineering solutions such as Cursor, GitHub CoPilot, or Claude Code
• Extensive experience engineering AI solutions and excellent working knowledge of:
• Prompt and context engineering
• AI agents, agentic architectures, tool calling, and Model Context Protocol (MCP)
• AI assistants, RAG, embeddings, and vector databases
• Model tuning, evaluation, benchmarking, and guardrails
• An excellent understanding of architecture, design principles, and cloud services, such as:
• AWS (Azure, and GCP cloud services are optional)
• Enterprise architecture and microservices design
• Observability and telemetry
• Infrastructure as code and CI/CD
• Data science experience is beneficial
• Content production (e.g. marketing) is strongly beneficial
• Experience navigating the legal, ethical, and security implications for AI
• Thrive working both collaboratively and independently
• Excellent creative, critical thinking, and problem solving skills
• Enjoy and prioritize continual learning- and staying up to date with the newest technologies and solutions and can understand how they can benefit EA Experiences
• Demonstrated ability to clearly and succinctly articulate complex concepts at a senior level
• Experience integrating AI solutions specifically with AAA Console/PC games and businesses is beneficial
• Experience with game engines is beneficial (Unity, Unreal)

Why this matters

This role is a key part of our EA Experiences team, and will help us to create innovative AI solutions that keep our fans at the center of everything we do. As an AI Solutions Engineer, you will be working closely with teams across EA Experiences to develop and implement cutting-edge AI solutions that provide increased efficiency and help our teams focus on what matters most, our fans.

XML job scraping automation by YubHub

What you'll do

Implement AI solutions to enable efficiency, expansion, and transformation across EA Experiences, directly aligned with EA Experiences' goals. You will:

• Stay informed on the evolution of AI technologies and opportunities to drive efficiency, expansion, and transformation
• Have a deep understanding of AI technologies and solutions, specifically focusing on how they can be integrated into business processes and systems to enhance efficiency
• Lead collaborative efforts with EA Experiences teams to understand their business, processes, opportunities, and challenges.
• Identify opportunities for developing creative AI solutions that enable our teams to focus on creative and innovative work that keeps our fans at the center of what we do
• Be an AI evangelist, promoting the use of AI as a force-multiplier

What you need

• 4 years + experience rapidly prototyping and deploying robust production solutions incorporating software engineering, infrastructure, architectural, and security best practices
• Python development skills, C#, JavaScript, HTML, and CSS is beneficial
• Experience using agentic AI software engineering solutions such as Cursor
• Extensive experience engineering AI solutions and excellent working knowledge of:
• Prompt and context engineering
• AI agents, agentic architectures, tool calling, and Model Context Protocol (MCP)
• AI assistants, RAG, embeddings, and vector databases
• Model tuning, evaluation, benchmarking, and guardrails
• A comprehensive understanding of architecture and design principles, and cloud services, such as:
• AWS, Azure, and GCP cloud services
• Enterprise architecture and microservices design
• Observability and telemetry
• Infrastructure as code and CI/CD
• Experience navigating the legal, ethical, and security implications for AI
• Thrive working both collaboratively and independently
• Excellent creative, critical thinking, and problem solving skills
• Enjoy and prioritize continual learning- and staying up to date with the newest technologies and solutions and can understand how they can benefit EA Experiences
• Demonstrated ability to clearly and succinctly articulate complex concepts at a senior level
• Experience integrating AI solutions specifically with AAA Console/PC games and businesses is beneficial

XML job scraping automation by YubHub