In this role, you will contribute to the continuous improvement of our DevOps processes, collaborate with cross-functional teams, and apply best practices for scalable, reliable, and secure systems.

Our ideal candidate has a solid technical foundation, a strong hands-on approach, and the ability to deliver results with minimal supervision.

Our Tech Stack

• Cloud: AWS (EC2, S3, RDS, EKS, Elasticache, Lambda)
• Container Orchestration: Kubernetes with Helm
• Infrastructure as Code: Terraform + Terragrunt, Pulumi/ CDK
• Monitoring & Observability: Prometheus, Grafana, Elastic Stack, OpenTelemetry
• CI/CD: Jenkins, GitHub Actions, ArgoCD, ArgoRollouts
• Scripting: Python, Go, Bash
• Version Control: GitHub
• Collaboration: Jira (Agile)
• Automation: N8N, AI-assisted tooling (Agentic ADK)

Your role in this journey

As a DevOps Engineer, you will be responsible for:

• Implementing and maintaining infrastructure definitions using Terraform, Pulumi, or similar tools
• Ensuring IaC standards are followed and contributing improvements to existing modules and patterns
• Managing and monitoring AWS services, ensuring system performance, availability, and adherence to best practices
• Troubleshooting production issues and participating in capacity planning
• Maintaining and troubleshooting Kubernetes clusters , deploying workloads, managing configurations, scaling services, and resolving incidents to support high-availability applications
• Maintaining and improving CI/CD pipelines to ensure smooth, automated software delivery
• Identifying bottlenecks and implementing enhancements across Jenkins, GitHub Actions, ArgoRollouts and ArgoCD
• Maintaining and extending our monitoring stack (Prometheus, Grafana)
• Building dashboards, configuring alerts, and improving observability to ensure comprehensive visibility into system health and performance

Your backpack is filled with

• 4+ years of experience in a DevOps, SRE, or cloud engineering role with hands-on production experience
• Solid working experience with AWS services (EC2, EKS, S3, RDS, Lambda) and cloud infrastructure management
• Hands-on experience with Docker and Kubernetes in production environments , deploying, scaling, and troubleshooting containerized workloads
• Practical experience with at least one Infrastructure as Code tool (Terraform, Pulumi, or AWS CDK)
• Experience maintaining and improving CI/CD pipelines using tools like Jenkins, GitHub Actions, or ArgoCD
• Proficiency in scripting with Python, Bash, or Go for operational automation
• Working knowledge of monitoring and observability tools such as Prometheus, Grafana, or similar platforms
• Familiarity with logging and log aggregation systems (Elastic Stack, Open Telemetry, or similar)
• Solid understanding of Linux administration, networking fundamentals, and system security basics
• Strong communication skills with the ability to collaborate across teams and explain technical decisions clearly

Nice to Have

• Experience with Helm charts and Kubernetes package management
• Familiarity with GitOps workflows (e.g., Github Actions, ArgoCD, Flux)
• Experience with designing AWS services-based architectures is a plus
• Experience with AI automation or low-code/no-code platforms such as N8N is a plus
• Familiarity with prompt engineering and using AI tools to augment DevOps workflows
• Exposure to cost optimization strategies for cloud infrastructure
• Experience with incident response, on-call rotations, or SRE practices (SLOs, error budgets)
• Experience with DevSecOps practices , integrating security scanning and compliance into CI/CD pipelines

Our adventure includes

• Impact: Shape the future of travel with products used by millions of guests and thousands of hosts
• Learning: Grow professionally in a culture that thrives on curiosity and feedback
• Great People: Join a team of smart, motivated, and international colleagues who challenge and support each other
• Technology: Work in a modern tech environment
• Flexibility: Work a hybrid setup with 50% in-office time for collaboration, and spend up to 8 weeks a year from other inspiring locations
• Perks on Top: Of course, we also offer travel benefits, gym discounts, and other perks to keep you energized

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In this role, you'll collaborate with cross-functional teams to define, design, and deliver new features, proactively identify opportunities for, and driving improvements to, current programming practices, including process enhancements and tool upgrades. You'll present technical information to teams and stakeholders, providing guidance and insight on development processes and technologies.

Ideally, you'd have 8+ years of full-time engineering experience, post-graduation, with specialties in back-end systems, specifically related to building large-scale data storage, streaming, and warehousing systems. You'll need extensive experience in various database technologies, streaming/processing solutions, indexing/caching, and various data query engines.

As a Staff Software Engineer, you'll provide technical leadership, including upholding and upleveling engineering standards across the organization, mentoring junior engineers. You'll possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders.

Experience working fluently with standard containerization & deployment technologies like Kubernetes and various public cloud offerings is essential. You'll also need extensive experience in software development and a deep understanding of distributed systems, cloud platforms, and data systems.

You'll drive cross-functional collaboration and communication at an organizational or broader level, and be excited to work with AI technologies.

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The Strategic Sourcing team partners closely with internal stakeholders to design and deliver sourcing strategies that align with Airbnb's business priorities while driving innovation, value, and stakeholder success. We are a collaborative, forward-thinking team that embraces an AI-first mindset and leverages technology, automation, and data to simplify processes and unlock new efficiencies.

As the Strategic Sourcing Manager at Airbnb, you will lead end-to-end sourcing and supplier relationship management across key spend areas such as Community Support (Contact Center) services, including global outsourced support operations, vendor strategy, and performance governance. You will develop and execute category plans that align with business priorities, identifying opportunities for cost optimization, supplier innovation, and risk mitigation across the BPO category.

Success in this role means delivering measurable cost and value improvements, advancing supplier diversity and innovation, and shaping Airbnb's sourcing strategy to support company growth and operational excellence.

Responsibilities:

• Partner with business leaders across the organization to understand needs and translate them into sourcing strategies and negotiation plans.
• Conduct and lead end-to-end sourcing activities, including opportunity assessments, RFPs, supplier selection, and complex contract negotiations.
• Analyze spend data and market trends to identify savings, innovation, and risk mitigation opportunities across BPO services and related categories.
• Apply AI tools and automation to streamline data analysis, supplier management, and contract workflows.
• Identify and implement continuous improvement initiatives, simplifying sourcing processes and driving measurable efficiency gains.
• Build and manage supplier relationships to ensure ongoing value delivery, service quality, and alignment with Airbnb's diversity and sustainability objectives.
• Collaborate cross-functionally with Legal, Finance, and Vendor Management to develop clear commercial terms, ensure compliance, and support sound financial outcomes.
• Serve as a thought partner to stakeholders, offering insights on supplier capabilities, market dynamics, and cost optimization strategies.
• Influence vendors and internal partners to drive innovation, continuous improvement, and long-term value creation, while leading complex negotiations and contracts that mitigate risk, enhance accountability, and maximize total cost of ownership.

Requirements:

• 10+ years of procurement or industry experience, ideally managing indirect spend across BPO (Contact Center) services.
• Bachelor's or advanced degree in Finance, Supply Chain, Business, or a related field.
• Proven ability to lead complex sourcing and negotiation efforts delivering measurable savings and value.
• Experience applying AI or data-driven solutions to simplify procurement processes or optimize workflows.
• Strong analytical, communication, and stakeholder management skills with the ability to influence senior leaders.
• Deep understanding of supplier management, risk mitigation, and contract governance.
• Limited travel may be required.

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We're looking for a Senior Platform Software Engineer to join our Transport team, which is at the core of our evolution towards a resilient and scalable cloud future. As a member of this team, you'll design, build, and operate the foundational platform that allows our services to run in an isolated, highly available, and globally distributed fashion.

As a Senior Platform Software Engineer, you'll have an outsized impact on every dbt Labs customer, tackling complex distributed systems problems while collaborating across product engineering, security, and infrastructure teams. This is a hands-on role where whatever you work on touches all of dbt Cloud and all of our customers at the same time.

In this role, you can expect to:

• Join a senior, distributed team: Become part of a closely-knit group of senior engineers at the intersection of application and infrastructure, working asynchronously with ongoing communication in public Slack channels.

• Architect and build platform infrastructure: Design, build, and operate foundational components of our multi-cell platform, including service routing, cloud networking, and the control plane for managing account lifecycles.

• Drive seamless migrations: Develop and automate the tooling to migrate customer accounts from legacy environments to the new multi-cell architecture at scale.

• Develop scalable backend services: Write robust, high-quality backend services and infrastructure code, primarily in Go and Python, with opportunities to work with Rust.

• Tackle cloud networking challenges: Collaborate on network architecture design, including VPC management, load balancing, DNS, PrivateLink, and service mesh configurations to support single-tenant and multi-tenant deployments.

• Automate for scale: Design and implement automation using tools like Argo Workflows, Kubernetes, and Terraform to enhance the reliability, efficiency, and scalability of our platform.

• Collaborate and mentor: Work closely with product engineering teams, security, and customer support to unblock feature conformance, define technical direction, and mentor other engineers.

• Own and troubleshoot: Take strong ownership of distributed systems, troubleshoot complex issues across application and network layers, and participate in an on-call rotation to maintain high availability.

You are a good fit if you have:

• Worked asynchronously as part of a fully-remote, distributed team

• Are an experienced backend or platform engineer, proficient in languages like Go or Python, with a history of building large-scale distributed systems.

• Have deep expertise in modern cloud infrastructure, including extensive hands-on experience with a major cloud provider (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and Infrastructure as Code (Terraform).

• Thrive at the intersection of product and infrastructure, with a passion for building internal platforms and automation that enhance developer productivity and platform reliability.

• Bring familiarity with cloud networking concepts, including load balancing, DNS, VPCs, proxies, and service mesh technologies , or have a strong desire to learn and grow in this domain.

• Take strong ownership of your work from end-to-end, demonstrating a systematic, customer-focused approach to problem-solving and a track record of contributing to complex technical projects.

• Are a proactive and collaborative communicator, skilled at articulating technical concepts to both technical and non-technical partners and working effectively across team boundaries.

You'll have an edge if you have:

• Direct experience with cell-based or multi-tenant architectures, particularly with building tooling for large-scale account migrations.

• A proven track record of building internal developer platforms or self-service infrastructure that empowers other engineers.

• Hands-on experience with cloud networking tools such as nginx, Istio, Envoy, AWS Transit Gateway, PrivateLink, or Kubernetes CNI/service mesh implementations.

• Deep expertise in multi-cloud strategies, including tools for cross-cloud management and cost optimization.

• Advanced proficiency with our core technologies, including extensive professional experience with both Go and Python, and an interest in or exposure to Rust.

• Advanced industry certifications (e.g., AWS Certified Solutions Architect – Professional, AWS Advanced Networking Specialty, Certified Kubernetes Administrator) or contributions to open-source cloud-native projects.

Qualifications

• 5+ years of professional software engineering experience, particularly in platform, infrastructure, or backend roles supporting SaaS applications.

• A Bachelor's degree in Computer Science or a related technical field is preferred, though equivalent practical experience or bootcamp completion with relevant work history will be considered.

Compensation & Benefits

Salary: We offer competitive compensation packages commensurate with experience, including salary, equity, and where applicable, performance-based pay. Our Talent Acquisition Team can answer questions around dbt Labs' total rewards during your interview process.

In select locations (including Boston, Chicago, Denver, Los Angeles, Philadelphia, New York Metro, San Francisco, DC Metro, Seattle, Austin), an alternate range may apply, as specified below.

• The typical starting salary range for this role is: $147,000 - $178,000 USD

• The typical starting salary range for this role in the select locations listed is: $163,000 - $198,000 US

Equity Stake Benefits

• dbt Labs offers: unlimited vacation, 401k w/3% guaranteed contribution, excellent healthcare, paid parental leave, wellness stipend, home office stipend, and more!

• Equity or comparable benefits may be offered depending on the legal limitations

Our Hiring Process (All Video Interviews)

• Interview with a Talent Acquisition Partner (30 Mins)

• Technical Interview with Hiring Manager (60 Mins)

• Team Interviews with Cross Collaborators (4 rounds, 45 Mins each)

• Final Values Interview (30 Mins)

dbt Labs is an equal opportunity employer, committed to building an inclusive team that welcomes diverse perspectives, backgrounds, and experiences. Even if your experience doesn’t perfectly align with the job description, we encourage you to apply,we value potential just as much as a perfect resume. Want to learn more about our focus on Diversity, Equity and Inclusion at dbt Labs? Check out our DEI page.

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As an Enterprise Account Executive, you will:

• Own your customer & build pipeline and close any ongoing engagements.
• Deep discovery & qualification: Uncover pain, business impact, budget, and decision criteria using frameworks like MEDDPICC so you chase only the highest-confidence deals.
• Value storytelling & demos: Craft and deliver tailored narratives and live demos that map Elastic’s Search, Observability, and Security capabilities to measurable business outcomes.
• Mutual deal strategy & forecast accuracy: Collaborate with your customer to build formal close plans and keep your CRM up-to-date.
• Executive negotiation & closing: Lead high-stakes contract and pricing discussions,defend your value, structure give/get trades, and land multi-year consumption commitments.
• Domain & cloud acumen: Position Elastic as the Search AI platform of choice by speaking fluently about cloud economics, usage-based pricing, and modern data architectures.
• Cross-functional partnership: Work hand-in-glove with Solutions Architects, Customer Success, Marketing, and RevOps to accelerate deals and drive exceptional customer outcomes.

We're looking for someone with:

• Proven experience of working with or for NATO with existing relationships.
• Expert discovery & qualification skills: Demonstrated ability to apply MEDDPICC or equivalent frameworks to drive disciplined pipeline and eliminate low-probability deals.
• Compelling value storytellers: Track record of delivering executive-level presentations and demos that tie product capabilities to real dollars saved, revenue gained, or risk mitigated.
• Technical & cloud fluency: Comfortable discussing a broad range of technical topics including observability, security, vector/traditional search, and cloud cost optimization.
• Collaborative mindset & coachability: A learner who partners effectively with internal teams, incorporates feedback, and embodies Elastic’s values of community and openness.
• Open Source enthusiasm: Genuine appreciation for open-source communities and the Elastic model.

Bonus Points:

• Prior experience of projects with geospatial content.
• Familiarity with observability (logs, metrics, traces) or security analytics (SIEM/XDR) use cases.

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As a key member of our engineering team, you will own and operate Figma's core observability stack, including vendor platforms such as Datadog, ensuring high availability, strong data quality, and effective signal-to-noise across metrics, logs, and traces.

You will define and drive the technical strategy for instrumentation standards, observability libraries, agents, and operators used to monitor internal and external facing services. You will also explore and implement innovative, AI-driven approaches to anomaly detection, root cause analysis, signal correlation, and operational automation.

In addition, you will establish clear frameworks for cost attribution, budgeting, forecasting, and alerting across infrastructure and observability spend, enabling teams to make informed tradeoffs.

You will partner with infrastructure, product engineering, finance, and security teams to improve visibility into system health and cost efficiency at scale.

You will lead initiatives to optimize observability footprint and spend, balancing depth of insight with performance and cost considerations.

You will coach and mentor engineers through career development, performance feedback, and technical leadership, fostering a culture of ownership, collaboration, and high-quality execution.

We are looking for someone with 4+ years of experience leading infrastructure, observability, or platform engineering teams, with a track record of delivering highly reliable production systems.

You should have deep hands-on experience with modern observability platforms (e.g., Datadog, OpenTelemetry) across metrics, logs, and distributed tracing.

You should have a strong understanding of distributed systems, instrumentation best practices, SLO design, and incident response workflows.

Experience driving cost transparency and accountability initiatives, including cost attribution, budgeting, forecasting, and alerting in cloud environments is also required.

Preferred skills include experience designing or evolving company-wide observability standards, shared libraries, and agent/operator-based integrations, background in cost optimization for infrastructure or observability tooling, including vendor negotiations and usage modeling, and experience applying AI or machine learning techniques to anomaly detection, root cause analysis, or operational automation.

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Key Responsibilities:

• Design, implement, and own microservices and REST/GraphQL APIs in Node.js/TypeScript (NestJS preferred)
• Translate product requirements into technical designs; break down work, estimate, and deliver incrementally
• Model data and optimize queries in MongoDB; implement effective caching with Redis (TTL, eviction, hot-key mitigation)
• Ship production-ready code with unit/integration tests; participate in on-call, incident response, and postmortems
• Containerize and deploy via Docker/Kubernetes; automate builds and releases with CI/CD (blue/green or canary)
• Instrument services for logs, metrics, and traces (p95/p99); continuously improve latency, reliability, and cost
• Review code, document designs, and mentor SE II/III engineers; contribute to shared standards and best practices

Requirements:

• 7+ years of software engineering experience, including 3+ years building backend services in Node.js/TypeScript
• Strong API fundamentals: versioning, pagination, authN/Z (OAuth/OIDC), and secure coding (OWASP)
• Hands-on with NestJS/Express/Fastify; familiarity with microservices patterns and event-driven workflows
• MongoDB expertise (schema design, indexing, basic sharding concepts) and Redis caching patterns
• Cloud experience on GCP (preferred) or AWS; Docker; working knowledge of Kubernetes; CI/CD with GitHub Actions/Jenkins/GitLab
• Observability skills: Datadog/OpenTelemetry/Prometheus/Grafana; confident debugging in production

Nice to Have:

• Kafka or Pub/Sub; API Gateway/Ingress; feature flags; rate limiting and quotas
• Terraform/Helm; security tooling (SonarQube), dependency hygiene, secret management
• Performance profiling, load testing, and practical cost optimization

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The Payments AI/ML Foundation team builds the shared platforms, services, and guardrails that enable product and data teams across Airbnb Payments to deliver trustworthy, efficient, and scalable AI capabilities.

As a Senior Software Engineer on Payments AI/ML Foundation, you will:

• Design and own core platform components that power AI across Airbnb Payments
• Partner with product, infra, data science, and operations to translate ambiguous requirements into robust systems with clear SLAs
• Build tooling and automation that makes AI development safer and faster
• Raise the bar on reliability, performance, and governance for models and agents in production

A typical day for this role will involve envisioning, championing, and supporting the development of novel ML systems, product integrations, and performance optimizations to solve real-world problems.

You will work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists, identify opportunities for business impact, understand, refine, and prioritize requirements for AI/ML models, drive engineering decisions, and quantify impact.

Hands-on productionize and operate AI/ML solution and pipelines at scale, including both batch and real-time use cases.

Lead, mentor, challenge and grow enthusiastic, collaborative AI/ML culture within the organization.

Your expertise should include:

• A degree in Computer Science or equivalent qualification
• 7+ years of industry experience in backend/platform engineering (or equivalent), including ownership of production systems
• Strong programming skills in Python, plus solid data engineering foundations
• Good to have experience with AI frameworks (Langraph, Strand etc), orchestration (Airflow/Kubeflow), and streaming/processing (Kafka/Spark/Ray)
• Proven track record building observability for AI systems (metrics/logging/traces), with automated alerting, dashboards, and SLO management
• Experience designing model governance and safety guardrails (prompt/version control, red-teaming, policy checks, approvals)
• Demonstrated ability to drive performance/cost optimizations (profiling, batching, caching, quantization, autoscaling) in high-traffic environments
• Practical familiarity with vector search/embedding pipelines (indexing strategies, consistency, reindexing, retention)

Our commitment to inclusion and belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions.

All qualified individuals are encouraged to apply.

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This role sits at the intersection of sales execution, technical fluency, and cross-functional collaboration,and is critical to our growth in the Enterprise segment.

Key Responsibilities:

Own your territory & build pipeline: Develop and execute a proactive outbound cadence (email, call, social) that generates ≥50 % of your booked opportunities.

Deep discovery & qualification: Uncover pain, business impact, budget, and decision criteria using frameworks like MEDDPICC so you chase only the highest-confidence deals.

Value storytelling & demos: Craft and deliver tailored narratives and live demos that map Elastic’s Search, Observability, and Security capabilities to measurable business outcomes.

Mutual deal strategy & forecast accuracy: Collaborate with customers to build formal close plans and keep your CRM up-to-date, maintaining ≥90 % forecast accuracy within ±10 %.

Executive negotiation & closing: Lead high-stakes contract and pricing discussions,defend your value, structure give/get trades, and land multi-year consumption commitments.

Domain & cloud acumen: Position Elastic as the Search AI platform of choice by speaking fluently about cloud economics, usage-based pricing, and modern data architectures.

Cross-functional partnership: Work hand-in-glove with Solutions Architects, Customer Success, Marketing, and RevOps to accelerate deals and drive exceptional customer outcomes.

Requirements:

Proven SaaS quota-carrying success: 5+ years closing complex Enterprise deals, consistently overachieving targets in a consumption-based or usage-model environment.

Expert discovery & qualification skills: Demonstrated ability to apply MEDDPICC or equivalent frameworks to drive disciplined pipeline and eliminate low-probability deals.

Compelling value storytellers: Track record of delivering executive-level presentations and demos that tie product capabilities to real dollars saved, revenue gained, or risk mitigated.

Strong negotiation chops: History of landing multi-year, high-ACV contracts while protecting margin and securing executive stakeholder buy-in.

Technical & cloud fluency: Comfortable discussing a broad range of technical topics including observability, security, vector/traditional search, and cloud cost optimization.

Collaborative mindset & coachability: A learner who partners effectively with internal teams, incorporates feedback, and embodies Elastic’s values of community and openness.

Open Source enthusiasm: Genuine appreciation for open-source communities and the Elastic model,bonus if you’ve sold or advocated in an OSS context.

Bonus Points:

Prior experience at an open-source or developer-centric infrastructure company.

Familiarity with observability (logs, metrics, traces) or security analytics (SIEM/XDR) use cases.

If you’re driven to build your own pipeline, master complex deal cycles, and help customers unlock the power of Search AI, we’d love to talk. Apply today!

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Job Summary:

The Manager, Strategic Sourcing – Electronics will partner closely with engineering, manufacturing, quality, and program management teams to ensure supply continuity, competitive cost structures, and the development of a robust, technically capable supply base supporting current and future product lines.

Responsibilities:

• Develop and execute the long-term sourcing strategy for electronic and electromechanical components, including PCBAs, harnesses, connectors, sensors, and embedded systems.

• Own the supplier category roadmap , balancing cost, technology, capacity, and risk management across global supply chains.

• Drive make-vs-buy analyses and business cases that optimize total cost of ownership (TCO) and mitigate single-source risk.

• Establish sourcing policies, metrics, and governance aligned with corporate and program-level goals.

• Identify, qualify, and develop a strategic supplier base capable of supporting high-mix, low-to-medium volume production for aerospace and defense applications.

• Negotiate and manage long-term agreements (LTAs), supplier performance reviews, and cost-reduction initiatives.

• Lead supplier business reviews and quarterly operating reviews (QBRs) focusing on delivery, quality, cost, and technical capability.

• Collaborate with Engineering to ensure early supplier involvement (ESI) during product development and NPI phases.

• Work closely with Operations and Program Teams to align material readiness with production schedules and customer milestones.

• Partner with Finance and Legal to structure commercial terms, manage supplier liabilities, and ensure compliance with DFARS, ITAR, and export regulations.

• Lead cost modeling, benchmarking, and should-cost analysis to guide sourcing decisions.

• Utilize ERP/MRP and analytics tools to manage spend visibility, supplier KPIs, and material forecasting accuracy.

• Develop and mentor a high-performing sourcing team focused on execution excellence, supplier innovation, and continuous improvement.

Requirements:

• Bachelor’s degree in Supply Chain Management, Electrical Engineering, Business, or related field (Master’s preferred) or equivalent relevant experience
• 7+ years of experience in strategic sourcing or supply chain management with a focus on electronics, PCBA, or electromechanical commodities OR mechanical commodities
• Proven experience in defense, aerospace, or high-reliability manufacturing environments
• Demonstrated success in supplier negotiations, cost reduction initiatives, and long-term contract management
• Deep understanding of electronics manufacturing processes, including PCB fabrication, SMT assembly, and harness production OR mechanical commodities
• Strong business acumen with ability to translate technical and commercial data into strategic sourcing actions
• Excellent communication, influencing, and cross-functional leadership skills

Benefits:

• Pay within range listed + Bonus + Benefits + Equity
• Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment)

Note: Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits.

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Cyngn is a publicly-traded autonomous technology company that deploys self-driving industrial vehicles to factories, warehouses, and other facilities throughout North America.

We are a small company with under 100 employees, operating with the energy of a startup. However, we're also publicly traded, which means our employees get access to the liquidity of our publicly-traded equity.

As a Senior DevOps Lead at Cyngn, you will play a vital role in architecting and managing infrastructure across cloud and autonomous vehicle systems. This position combines traditional cloud DevOps leadership with specialized expertise in robotics and autonomous systems infrastructure.

Responsibilities

• Lead and architect cloud and vehicle infrastructure initiatives across AWS and ROS/Linux environments
• Design and implement scalable solutions for both cloud services and autonomous vehicle systems
• Establish and maintain DevOps best practices, CI/CD pipelines, and infrastructure as code
• Drive observability, monitoring, and incident response strategies
• Optimize performance and cost efficiency of cloud and edge computing resources
• Mentor team members and foster a developer-friendly environment
• Manage on-call rotations and incident response processes
• Architect solutions for processing and storing large-scale vehicle telemetry data
• Lead security initiatives and compliance efforts across infrastructure

Requirements

• 10+ years of relevant DevOps/Infrastructure experience
• Proven track record as a technical lead in platform or infrastructure teams
• Advanced expertise in AWS services, infrastructure as code (Terraform), and Kubernetes
• Strong experience with service mesh (Istio) and Helm/Kustomize
• Deep understanding of ROS/ROS2 and Linux kernel configurations
• Experience with GPU configurations and ML infrastructure
• Expertise in ARM and NVIDIA CUDA platform configurations
• Strong programming skills in Python and shell scripting
• Experience with infrastructure automation (Ansible)
• Expertise in CI/CD tools (Jenkins, GitHub Actions)
• Strong system architecture and design skills
• Excellence in technical documentation
• Outstanding problem-solving abilities
• Strong leadership and mentoring capabilities

Nice to haves

• Experience with autonomous vehicle systems
• Track record of optimizing GPU-based ML infrastructure
• Experience with large-scale IoT deployments
• Contributions to open-source projects
• Experience with real-time systems and low-latency requirements
• Expertise in security implementations including SSO, IdP, and AWS Cognito
• Experience with JFrog artifactory and container registry management
• Proficiency in AWS IoT Greengrass
• Experience with container resource management on edge devices
• Understanding of CPU affinity and priority scheduling
• Track record of implementing cost optimization strategies
• Experience with scaling systems both horizontally and vertically

Benefits & Perks

• Health benefits (Medical, Dental, Vision, HSA and FSA (Health & Dependent Daycare), Employee Assistance Program, 1:1 Health Concierge)
• Life, Short-term, and long-term disability insurance (Cyngn funds 100% of premiums)
• Company 401(k)
• Commuter Benefits
• Flexible vacation policy
• Sabbatical leave opportunity after five years with the company
• Paid Parental Leave
• Daily lunches for in-office employees
• Monthly meal and tech allowances for remote employees

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Principal Engineer - Manufacturing Process/Electronic Assemblies

Rungis, Île-de-France Region, France

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Category: OperationsHire Type: Employee

Job ID 15988Date posted 03/08/2026

We Are:

At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.

You Are:

A detail-oriented engineer with a passion for manufacturing excellence, you bring deep expertise in developing and industrializing robust processes for complex electronic assemblies. Your decade-long experience has equipped you to specify, optimize, and troubleshoot high-complexity SMT and system-level assemblies, balancing quality, efficiency, and cost. Comfortable collaborating across functions, you thrive in cross-disciplinary teams and act as a technical partner to Contract Manufacturers during NPI and production ramp-up. Fluent in both French and English, you communicate effectively with global teams and partners. Analytical and solutions-driven, you excel at addressing challenges, driving continuous improvement, and ensuring high standards of manufacturing performance. Experience with optical connections is a plus, and your commitment to automation, ergonomics, and scalable solutions makes you an ideal fit for this impactful role.

What You'll Be Doing:

• Define and industrialize end-to-end manufacturing processes for complex electronic products, including SMT, system assembly, test, and packaging.

• Specify SMT processes and equipment requirements for high-density, high-complexity printed circuit board assemblies (PCBAs).

• Design and deploy assembly processes integrating main PCBAs, daughter boards, cabling, and mechanical chassis for optimal performance and reliability.

• Develop automated or semi-automated manufacturing solutions to reduce human handling, improve quality, and ensure ergonomic operations.

• Ensure cost efficiency throughout process development, including estimation and tracking of equipment budgets and negotiation with vendors for cost optimization.

• Act as the technical manufacturing partner for Contract Manufacturers during both NPI and full-scale production, providing guidance and support.

• Troubleshoot manufacturing issues, lead root-cause analysis, and implement continuous improvement initiatives.

• Collaborate closely with teams across Design, R&D, Production, Quality, Supply Chain, and Management to drive successful project outcomes.

The Impact You Will Have:

• Enable reliable, scalable, and cost-effective manufacturing of advanced electronic assemblies, directly influencing product quality and customer satisfaction.

• Accelerate time-to-market for new products by streamlining process industrialization and supporting efficient NPI activities.

• Drive continuous improvements that enhance yield, reduce defects, and lower manufacturing costs.

• Foster strong partnerships with Contract Manufacturers, ensuring seamless transitions from design to volume production.

• Champion automation and ergonomic solutions that improve operator safety and process consistency.

• Contribute to cross-functional innovation, supporting Synopsys’ leadership in high-complexity, cutting-edge electronic systems.

• Support the growth and reputation of the Rungis site as a center of manufacturing excellence.

What You'll Need:

• Engineering degree in Manufacturing, Industrial, Electronics, or a related field.

• 10+ years of experience in manufacturing or process engineering for complex electronic assemblies.

• Deep expertise in SMT industrialization and electro-mechanical system assembly processes.

• Proven track record working with Contract Manufacturers, especially during NPI and production phases.

• Solid understanding of manufacturing systems, automation, quality assurance, and cost optimization techniques.

• Hands-on approach with strong analytical and problem-solving abilities.

• Experience with optical connections is advantageous.

• Fluency in French and English is mandatory; German language skills are a plus.

Who You Are:

• Innovative and solutions-oriented, with a passion for continuous improvement.

• Collaborative team player who thrives in cross-functional, multicultural environments.

• Exceptional communicator, able to convey complex technical concepts clearly to diverse audiences.

• Self-motivated with a strong sense of ownership and accountability.

• Adaptable and resilient when facing challenges and change.

• Detail-oriented, organized, and capable of managing multiple priorities in a fast-paced setting.

The Team You'll Be A Part Of:

You will join a dynamic, high-performing Operations team based onsite in Rungis, France. The team is dedicated to developing and industrializing manufacturing processes for cutting-edge electronic systems. Working closely with Design, R&D, Production, Quality, Supply Chain, and global manufacturing partners, you will be at the heart of innovation, collaboration, and technical excellence.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

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Responsibilities Design HV and LV electrical systems for power, communications, and control Build test setups in the lab for validation of designs Power systems simulations in DlGSilent including transient analysis, inrush, and harmonics studies CCTV, SCADA and communications system design and optimization Assist with cost optimization and technoeconomic analyses Contribute to continuous improvement and development of standardized processes and procedures

Requirements Degree in Electrical Engineering, Electronics, Mechatronics or a related field Strong hands-on experience - you’ve built, tested or debugged your own projects Knowledge of three phase power systems and associated components (power transformers, VT’s CT’s, switchgear, etc.) Safety-conscious and curious - you like understanding how things work (and how to make them better)

Bonus Prior experience with renewable generation project design Understanding of UK grid regulations (G99, G100, BS standards, etc.) Interest in BESS or renewable energy technologies

Benefits Competitive internship salary Fully expensed tech to match your needs Breakfast and dinner allowance for office based employees Opportunities for fast progression Competitive salary and an equity sign-on bonus Biannual bonus scheme Fully expensed tech to match your needs Paid annual leave Breakfast and dinner allowance for office based employees

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You will be part of a team that supports CIOs in managing central challenges such as geopolitical and macroeconomic uncertainty, cybersecurity, digital transformation, and budget restrictions. As a Cyber GRC Senior Consultant, you will work with security, IT, and compliance teams to strengthen cybersecurity, manage cyber risks, and ensure regulatory compliance.

Key Responsibilities

• Participate in global projects in an international team, supported by over 330,000 technical professionals from our parent company
• Contribute to the development of consulting offerings and innovative go-to-market solutions for the C-Suite to make cyber risks understandable and reducible
• Lead and conduct risk analyses according to the NIST CSF
• Be responsible for conceiving innovative new services using AI and ML where they offer real added value
• Support pre-sales, sales, and account management activities from the perspective of a subject matter expert

Requirements

• You have a clear career progression and experience working with renowned consulting firms and large commercial sector customers
• You bring a strong passion for cybersecurity and actively follow current industry trends and developments
• Your cybersecurity expertise includes:

+ A relevant university degree (Bachelor or Master) in Information Security, Cybersecurity, or IT Security + At least 1-5+ years of experience in the field of Cyber Security/Information Security + A broad business competence profile, including stakeholder management, problem-solving ability, and resilience + Experience in collecting, validating, analyzing, documenting, and communicating information to stakeholders

Desired Skills

• Good knowledge of the NIST Cybersecurity Framework (CSF)
• A further university degree in Cyber or Information Security
• Cyber Due Diligence Assessments
• Cyber Risk Management for third parties and supply chains
• Review of Incident Response Plans
• Support in tenders, RFP responses, and offers
• Conducting Crisis Management Exercises (CMX)
• Certifications such as CISSP, CISM, CISA, GSLC, GSTRT, GCPM
• Participation in the development of Target Operating Models (TOMs) and RACI matrices
• Creation of Cyber Security Roadmaps
• Support in Post-Incident Reviews
• Analysis and summarization of Cyber Threat Intelligence Reports
• Implementation of Cyber Compliance Programs (DSGVO, DORA, ISO 27001, NIS2, SOX)
• Cyber Risk or Maturity Assessments
• Conception and/or implementation of Awareness Trainings
• Participation in Identity & Access Management Projects
• Participation in Privileged Access Management Projects

Ideal Candidate Profile

• Our ideal candidates have the following skills:

+ Strong business competence, particularly in stakeholder management and problem-solving + Experience in preparing and communicating complex information to stakeholders + Very good communication skills in German (C2) and English (C2) and project-related travel readiness + Enjoy working with customers from different industries + Experience in balancing technical and commercial requirements to develop practical solutions + Ability to build lasting business relationships at all levels + Ability to provide expert support and guidance to less experienced colleagues + Ability to explain complex cyber methods in a non-technical and understandable way (written and oral)

Benefits

You will be part of a team that supports CIOs in managing central challenges such as geopolitical and macroeconomic uncertainty, cybersecurity, digital transformation, and budget restrictions. Our team of business analysts, enterprise architects, and cyber security specialists combines operational, strategic, analytical, and innovative competencies to drive business-IT alignment, IT governance transformation, IT cost optimization, efficiency improvement, innovation promotion, and cyber risk, governance, and compliance topics.

About Infosys Consulting

You will be part of a globally renowned management consulting firm that is on the front-line of industry disruption. We are a mid-size player with a supportive, entrepreneurial spirit that works with a market-leading brand in every sector, while our parent organization Infosys is a top-5 powerhouse IT brand that is outperforming the market and experiencing rapid growth.

Our consulting business is annually recognized as one of the UK's top firms by the Financial Times and Forbes due to our client innovations, our cultural diversity, and dedicated training and career paths we offer to our consultants. We are committed to fostering an inclusive work culture that inspires everyone to deliver their best.

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The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform—from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations.

Our engineers are extremely high leverage: we simultaneously drive multiple major revenue streams while optimizing one of Anthropic's most precious resources—compute. As we expand to more cloud platforms, the complexity of managing inference efficiently across providers with different hardware, networking stacks, and operational models grows significantly. We need engineers who can navigate these platform differences, build robust abstractions that work across providers, and make smart infrastructure decisions that keep us cost-effective at massive scale.

Your work will increase the scale at which our services operate, accelerate our ability to reliably launch new frontier models and innovative features to customers across all platforms, and ensure our LLMs meet rigorous safety, performance, and security standards.

What You'll Do

• Design and build infrastructure that serves Claude across multiple CSPs, accounting for differences in compute hardware, networking, APIs, and operational models
• Collaborate with CSP partner engineering teams to resolve operational issues, influence provider roadmaps, and stand up end-to-end serving on new cloud platforms
• Design and evolve CI/CD automation systems, including validation and deployment pipelines, that reliably ship new model versions to millions of users across cloud platforms without regressions
• Design interfaces and tooling abstractions across CSPs that enable cost-effective inference management, scale across providers, and reduce per-platform complexity
• Contribute to capacity planning and autoscaling strategies that dynamically match supply with demand across CSP validation and production workloads
• Optimize inference cost and performance across providers—designing workload placement and routing systems that direct requests to the most cost-effective accelerator and region
• Contribute to inference features that must work consistently across all platforms
• Analyze observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads

You May Be a Good Fit If You:

• Have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users
• Have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code or container orchestration
• Have strong interest in inference
• Thrive in cross-functional collaboration with both internal teams and external partners
• Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems
• Are highly autonomous and self-driven, taking ownership of problems end-to-end with a bias toward flexibility and high-impact work
• Pick up slack, even when it goes outside your job description

Strong Candidates May Also Have Experience With

• Direct experience working with CSP partner teams to scale infrastructure or products across multiple platforms, navigating differences in networking, security, privacy, billing, and managed service offerings
• A background in building platform-agnostic tooling or abstraction layers that work across cloud providers
• Hands-on experience with capacity management, cost optimization, or resource planning at scale across heterogeneous environments
• Strong familiarity with LLM inference optimization, batching, caching, and serving strategies
• Experience with Machine learning infrastructure including GPUs, TPUs, Trainium, or other AI accelerators
• Background designing and building CI/CD systems that automate deployment and validation across cloud environments
• Solid understanding of multi-region deployments, geographic routing, and global traffic management
• Proficiency in Python or Rust

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.

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Product Manager, Codex

Location

San Francisco

Employment Type

Full time

Location Type

On-site

Department

Product Management

Compensation

• $255K – $325K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

With Codex we’re building an AI software engineer. One that you can pair with, delegate to, or even ask to take on future tasks proactively. Our team is a fast-moving group within OpenAI, bringing together research, engineering, design, and product. We iteratively build the Codex agent harness and product to get the most out of the model, and we iteratively train the model to be great in the Codex.

About the Role

As the product manager on Codex, you will lead the development of a highly technical product designed for a technical audience. Much of the work is 0–1, requiring you to shape product direction amid ambiguity and shape what the future of agents will look like. You’ll partner closely with world-class engineers and researchers to bring cutting-edge capabilities into the hands of developers, and you’ll shape how our AI tools support software development workflows.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Shape product strategy for Codex, from early concepts through launch and iteration.

• Collaborate with engineering and research to translate breakthroughs into usable, high-value developer experiences.

• Deeply understand developer workflows and identify opportunities where AI can make them faster, more intuitive, and more powerful.

• Navigate ambiguity and make thoughtful trade-offs in 0–1 product environments.

• Partner with cross-functional teams to deliver quickly while maintaining a high bar for technical quality and user experience.

You might thrive in this role if you:

• Bring a strong technical background and have recently shipped code to production

• Have a deep intuition for developer workflows and a passion for building tools that make coding more productive and enjoyable.

• Can define product direction in ambiguous, 0–1 environments and rally teams around it.

• Demonstrate strong product intuition, making thoughtful prioritization and sequencing decisions.

• Have experience driving execution across engineering, design, and research.

• Bring an entrepreneurial mindset and adaptability, whether from startup or high-growth company environments.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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