About the role

We are looking for a business-oriented leader to architect and own the financial operating model for our entire cloud infrastructure. This isn't a reporting role; you are the single-threaded owner responsible for optimizing one of the company's largest technology investments. Your mission is to transform our cloud spend from a complex cost center into a predictable, efficient engine for innovation. You will report to senior leadership and be empowered to support the negotiation of multi-million dollar contracts, drive cultural change across engineering, and provide the financial clarity required for strategic business decisions.

What You'll Do

• Cultural Change: Act as the evangelist for Cloud FinOps. Champion a culture of cost ownership across our engineering organization by empowering teams with the dashboards, insights, and training needed to make cost an integral part of their design and operating principles.
• Governance & Visibility: Architect a system of governance and accountability. Design and implement a universal resource tagging strategy, moving beyond simple reporting to create robust showback/chargeback models that give engineering teams true ownership of their spend.
• Optimization & Efficiency: Drive a company-wide optimization program. Go beyond "low-hanging fruit" to create a continuous optimization program, partnering with engineering to refactor applications for cost, adopt new pricing models, and eliminate systemic waste.
• Commercial Strategy & Negotiation: Develop and execute the strategy to lead negotiations with our cloud vendors, right-sizing our commitments to align with our business strategy and eliminating financial risk.
• Forecasting & Budgeting: Build and operate our data-driven forecasting model. Partner directly with the Tech and Finance organizations to eliminate spending volatility and provide the business with a reliable cloud budget and accurate forecast.

What You'll Bring

You are a seasoned leader who operates at the intersection of technology and finance. You are just as comfortable debating architectural trade-offs with a principal engineer as you are presenting a business case to a CFO. You are a strong team player who loves to share knowledge, enable others, and provide and receive feedback.

• Proven Experience: A track record of 7+ years in dedicated Cloud FinOps or Cloud Financial Management roles, with clear success in managing significant AWS spend.
• Mastery of Cloud Economics: Deep expertise in AWS cost structures, including the nuances of Savings Plans, Reserved Instances, Spot, and the Cost and Usage Report (CUR).
• Data-Driven Strategist: Exceptional analytical and financial modeling skills. You don't just create dashboards; you build data-driven business cases to influence executive-level decisions.
• Technical Credibility & Influence: You have hands-on experience and a proven ability to partner with engineering teams to optimize application architecture for cost. You can engage and communicate complex ideas effectively to both technical and non-technical stakeholders.
• Proven Negotiator: Demonstrable, material experience leading or participating in large-scale commercial negotiations with a major cloud vendor.
• Builder's Mentality: You have a proven track record of designing and building a Cloud FinOps practice from an early stage, creating process and strategy where none existed before. Proficiency with scripting (e.g., Python/Bash) and experience with third-party tools (e.g., Vantage, CloudHealth) are strong pluses.

Let’s cut to the cheese, this is why you'll love it here

• Box Discount - Amazing discounts on 1 box per week! 75% discount on weekly HelloFresh and Chefs Plate meal kits AND 50% off weekly Factor meal box.
• Health & Wellness - Health & Dental benefits from day 1, a Health Spending Account, unlimited access to the Headspace app to meet your self-care needs, and 25% discount on GoodLife fitness memberships!
• Vacation & PTO - Time off is also an important part of self-care! We offer generous vacation and PTO to help you create a good work-life balance. 
• Family Benefits - A parental leave top-up program for expectant parents.
• Growth & Development - We support your career progression and invest in your continued learning through experiences and initiatives owned by our dedicated L&D team
• Work Hard & Have Fun - From team socials to engaging company days, you’ll have plenty of opportunity to experience the fun!
• Diversity & Inclusion Initiatives - With impactful ERG’s like FreshPride, Women Empowered and LIMES, we are committed to our diversity, equity & inclusion efforts.
• Food Puns - this one is kind of a big dill if you haven’t already noticed. We even have some punny meeting room names!

Flexible Hybrid Approach

At HelloFresh, we know that flexible work arrangements are essential in enabling you to do your best work, while balancing your personal and life needs. Offering remote work flexibility, along with the opportunity to interact and collaborate in the office are all a part of creating a great employee experience. 

To meet these needs, we are pleased to provide Flexible Hybrid work. Flexible Hybrid is a people-first approach that is based on choice, trust, personalization, and empowers teams to choose when and how often they work from the office and work from home, in addition to team days and company days. This means a minimum of 2 days in office per week, with most teams in office between 2-3 days a week.

HelloFresh Canada uses AI-integrated technology to help us process and evaluate applications more efficiently. This includes tools that screen and assess candidate qualifications based on the requirements for this role. While these tools assist our workflow, all final selection decisions are made by our hiring team.

This is a posting for an existing vacancy. We are actively seeking to fill this position.

#LI-HYBRID

About the role

We are looking for a business-oriented leader to architect and own the financial operating model for our entire cloud infrastructure. This isn't a reporting role; you are the single-threaded owner responsible for optimizing one of the company's largest technology investments. Your mission is to transform our cloud spend from a complex cost center into a predictable, efficient engine for innovation. You will report to senior leadership and be empowered to support the negotiation of multi-million dollar contracts, drive cultural change across engineering, and provide the financial clarity required for strategic business decisions.

What You'll Do

• Cultural Change: Act as the evangelist for Cloud FinOps. Champion a culture of cost ownership across our engineering organization by empowering teams with the dashboards, insights, and training needed to make cost an integral part of their design and operating principles.
• Governance & Visibility: Architect a system of governance and accountability. Design and implement a universal resource tagging strategy, moving beyond simple reporting to create robust showback/chargeback models that give engineering teams true ownership of their spend.
• Optimization & Efficiency: Drive a company-wide optimization program. Go beyond "low-hanging fruit" to create a continuous optimization program, partnering with engineering to refactor applications for cost, adopt new pricing models, and eliminate systemic waste.
• Commercial Strategy & Negotiation: Develop and execute the strategy to lead negotiations with our cloud vendors, right-sizing our commitments to align with our business strategy and eliminating financial risk.
• Forecasting & Budgeting: Build and operate our data-driven forecasting model. Partner directly with the Tech and Finance organizations to eliminate spending volatility and provide the business with a reliable cloud budget and accurate forecast.

What You'll Bring

You are a seasoned leader who operates at the intersection of technology and finance. You are just as comfortable debating architectural trade-offs with a principal engineer as you are presenting a business case to a CFO. You are a strong team player who loves to share knowledge, enable others, and provide and receive feedback.

• Proven Experience: A track record of 7+ years in dedicated Cloud FinOps or Cloud Financial Management roles, with clear success in managing significant AWS spend.
• Mastery of Cloud Economics: Deep expertise in AWS cost structures, including the nuances of Savings Plans, Reserved Instances, Spot, and the Cost and Usage Report (CUR).
• Data-Driven Strategist: Exceptional analytical and financial modeling skills. You don't just create dashboards; you build data-driven business cases to influence executive-level decisions.
• Technical Credibility & Influence: You have hands-on experience and a proven ability to partner with engineering teams to optimize application architecture for cost. You can engage and communicate complex ideas effectively to both technical and non-technical stakeholders.
• Proven Negotiator: Demonstrable, material experience leading or participating in large-scale commercial negotiations with a major cloud vendor.
• Builder's Mentality: You have a proven track record of designing and building a Cloud FinOps practice from an early stage, creating process and strategy where none existed before. Proficiency with scripting (e.g., Python/Bash) and experience with third-party tools (e.g., Vantage, CloudHealth) are strong pluses.

What we offer

Elevate your lifestyle! Join one of Europe's fastest-growing tech powerhouses in a dynamic phase of expansion.

• Immerse yourself in a diverse global community of 90+ nationalities.
• Enjoy a competitive compensation package that goes beyond the norm, with perks like a HelloFresh- subsidized Pension Scheme, Berlin relocation support, and a Hybrid working model.
• Elevate your lifestyle with exclusive discounts on your weekly HelloFresh box and office meals.
• Invest in your growth with a German language learning budget, and access to the HelloFresh Academy.
• Plus, we've got your well-being covered with mental health support, transportation perks, and working-parent-friendly benefits. From our 24/7 gym access,wellbeing platforms like Headspace and Spill, to sabbatical leave options, HelloFresh is not just a workplace; it's a lifestyle of perks and possibilities!

#IT

What's the opportunity?

Fin is the #1 AI agent for customer service. It resolves over 1M customer conversations every week, and we're just getting started. We're on the cutting edge of defining how AI agents should work — inventing paradigms that didn't exist six months ago and discovering entirely new problem spaces every time we push the technology further.

This role sits at the heart of the Service Agent pillar — 12 teams and growing, building every capability that makes Fin work. You'll partner at the strategic pillar level: broad context across work streams, deep technical understanding of how Fin operates end-to-end, and the autonomy to decide where you need to go next. When we need a new work stream spun up from scratch — a brand new team, an ambiguous problem space, aggressive timelines — you're the person who makes that happen.

The competitive landscape is intense. Fast-moving AI-native startups are coming hard for this space, shipping aggressively and going after the same deals we are. We need someone who thrives under that pressure, who can maintain technical excellence while moving at startup speed within a company that has the resources and customer base to make that speed count.

What will you do?

• Partner at the strategic pillar level. You'll have broad context across work streams and use that to inform technical strategy and investment priorities. What should we care about? Where should we invest? Where do you need to step in? These are your decisions.
• Spin up 0-to-1 work streams. Bring together engineers who've never worked as a team, disambiguate the problem space, build momentum under aggressive timelines, set high expectations, and drive execution.
• Execute on the most ambiguous, highest-stakes problems. You're hands-on. You write code, you ship features, you're deep in the weeds. We've seen too many Principal Engineers who are brilliant but too far from execution to be effective here.
• Lead experimental work at the AI frontier. Run your own A/B tests, do prompt engineering, build evals, and calibrate accuracy, cost, and latency for LLM-powered features. Much of what we're building are new paradigms for customer-facing software.
• Shape long-term technical strategy through execution. Your hands-on work informs the architecture. You're simultaneously building and thinking about what needs to change about how we build products — data models, system design, the shift from GUI-first to agent-first interfaces.
• Work across the full stack in an AI-first development environment. Every engineer has Claude Code with unlimited tokens and a sophisticated ecosystem of MCP servers, skills, and shared context. You'll push the boundaries of what's possible with AI-assisted development and help shape how the entire engineering org works.
• Raise the bar for the people around you. Give direct, actionable feedback that changes outcomes. We don't need someone who mentors juniors on the basics — we need someone who can accelerate and grow the senior and staff engineers around them.

What are we looking for?

The core requirement: engineering depth and product thinking. We need someone who combines deep engineering ability with strong product and design instincts — not one or the other. We don't want engineers who are technically brilliant but disconnected from the product. And we don't want product-minded engineers who have great instincts but can't execute at the level this work demands. You need to be able to both build complex systems AND identify the right problems to solve. This is the single most important dimension we evaluate on.

Beyond that:

• Operated at real scale and has builder energy. You've likely spent time at companies operating at significant scale — the kind of environment where you've seen what large-scale distributed systems actually look like in production. But you also have startup DNA: urgency, resourcefulness, a bias toward building over discussing.
• AI fluency. You're actively experimenting with AI-assisted development, pushing the boundaries of what's possible, and forming opinions about how it changes the way teams build software. This matters more than any specific stack experience.
• Deep technical depth with breadth. You can go deep into the weeds on at least one technical domain, but you also navigate complex multi-team systems with ease. In conversation, you move fluidly from business context to technical strategy to implementation details.
• Communication as a superpower. You can explain to leadership why a technical investment matters, align multiple teams around a complex project, and then walk an engineer through the gnarly implementation details. This role lives and dies on your ability to communicate across every level.
• Extreme autonomy. You partner with the Engineering Director on where you think the pillar needs to go next. You identify problems, form convictions, and act on them. If you're the kind of engineer who waits to be told what to work on, this isn't the right role.
• Critical thinking about the business. You understand what Intercom is optimizing for and translate that into technical decisions. Which work streams need investment? Where are we falling behind? What should we defund to go harder somewhere else? You think at this level naturally.
• At least ~10+ years of experience, with significant time as a technical leader driving complex projects across multiple teams and stakeholders.
• Stack agnostic. We use Ruby on Rails, React (migrating from Ember), and AWS. But AI tools increasingly abstract the stack — what matters is your ability to learn, build, and operate effectively with tools like Claude Code. If you're great with a high-level programming language and fluent with AI-assisted development, you'll be productive fast.

Why Intercom, why now?

Fin is #1 — and the race is heating up. We built the leading AI agent for customer service, but fast-moving AI-native startups are coming for this space. This is one of the most consequential competitive moments in tech history, and the engineering decisions made in the next 12 months will determine who wins.

A rare pivot that actually worked. Intercom has been building for 15 years — deep product, massive customer base, strong revenue. But unlike most legacy SaaS companies, we made a successful pivot to AI. While most of SaaS trends down, Intercom trends up. We recently raised $250M to go even further even faster..

AI-first engineering culture. Every engineer gets Claude Code with unlimited Opus 4.6 tokens and 1M context. We're investing heavily in the platform capabilities — MCP servers, skills, shared tooling — that make AI-assisted development genuinely transformative. You'll be at the sharp edge of figuring out what this means for how teams work.

The sweet spot. Big enough to have real resources, customers, and revenue. Small enough that you have genuine agency. Bold enough to make decisions that most companies of this size wouldn't. You come to Intercom if you want the impact of a startup with the backing of a company that's been winning for 15 years.

Benefits

We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! 

• Competitive salary and equity in a fast-growing start-up
• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
• Regular compensation reviews - we reward great work!
• Pension scheme & match up to 4%
• Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
• Flexible paid time off policy
• Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
• If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too 
• MacBooks are our standard, but we also offer Windows for certain roles when needed.

#LI-Hybrid

What's the opportunity?

Fin is the #1 AI agent for customer service. It resolves over 1M customer conversations every week, and we're just getting started. We're on the cutting edge of defining how AI agents should work — inventing paradigms that didn't exist six months ago and discovering entirely new problem spaces every time we push the technology further.

This role sits at the heart of the Service Agent pillar — 12 teams and growing, building every capability that makes Fin work. You'll partner at the strategic pillar level: broad context across work streams, deep technical understanding of how Fin operates end-to-end, and the autonomy to decide where you need to go next. When we need a new work stream spun up from scratch — a brand new team, an ambiguous problem space, aggressive timelines — you're the person who makes that happen.

The competitive landscape is intense. Fast-moving AI-native startups are coming hard for this space, shipping aggressively and going after the same deals we are. We need someone who thrives under that pressure, who can maintain technical excellence while moving at startup speed within a company that has the resources and customer base to make that speed count.

What will you do?

• Partner at the strategic pillar level. You'll have broad context across work streams and use that to inform technical strategy and investment priorities. What should we care about? Where should we invest? Where do you need to step in? These are your decisions.
• Spin up 0-to-1 work streams. Bring together engineers who've never worked as a team, disambiguate the problem space, build momentum under aggressive timelines, set high expectations, and drive execution.
• Execute on the most ambiguous, highest-stakes problems. You're hands-on. You write code, you ship features, you're deep in the weeds. We've seen too many Principal Engineers who are brilliant but too far from execution to be effective here.
• Lead experimental work at the AI frontier. Run your own A/B tests, do prompt engineering, build evals, and calibrate accuracy, cost, and latency for LLM-powered features. Much of what we're building are new paradigms for customer-facing software.
• Shape long-term technical strategy through execution. Your hands-on work informs the architecture. You're simultaneously building and thinking about what needs to change about how we build products — data models, system design, the shift from GUI-first to agent-first interfaces.
• Work across the full stack in an AI-first development environment. Every engineer has Claude Code with unlimited tokens and a sophisticated ecosystem of MCP servers, skills, and shared context. You'll push the boundaries of what's possible with AI-assisted development and help shape how the entire engineering org works.
• Raise the bar for the people around you. Give direct, actionable feedback that changes outcomes. We don't need someone who mentors juniors on the basics — we need someone who can accelerate and grow the senior and staff engineers around them.

What are we looking for?

The core requirement: engineering depth and product thinking. We need someone who combines deep engineering ability with strong product and design instincts — not one or the other. We don't want engineers who are technically brilliant but disconnected from the product. And we don't want product-minded engineers who have great instincts but can't execute at the level this work demands. You need to be able to both build complex systems AND identify the right problems to solve. This is the single most important dimension we evaluate on.

Beyond that:

• Operated at real scale and has builder energy. You've likely spent time at companies operating at significant scale — the kind of environment where you've seen what large-scale distributed systems actually look like in production. But you also have startup DNA: urgency, resourcefulness, a bias toward building over discussing.
• AI fluency. You're actively experimenting with AI-assisted development, pushing the boundaries of what's possible, and forming opinions about how it changes the way teams build software. This matters more than any specific stack experience.
• Deep technical depth with breadth. You can go deep into the weeds on at least one technical domain, but you also navigate complex multi-team systems with ease. In conversation, you move fluidly from business context to technical strategy to implementation details.
• Communication as a superpower. You can explain to leadership why a technical investment matters, align multiple teams around a complex project, and then walk an engineer through the gnarly implementation details. This role lives and dies on your ability to communicate across every level.
• Extreme autonomy. You partner with the Engineering Director on where you think the pillar needs to go next. You identify problems, form convictions, and act on them. If you're the kind of engineer who waits to be told what to work on, this isn't the right role.
• Critical thinking about the business. You understand what Intercom is optimizing for and translate that into technical decisions. Which work streams need investment? Where are we falling behind? What should we defund to go harder somewhere else? You think at this level naturally.
• At least ~10+ years of experience, with significant time as a technical leader driving complex projects across multiple teams and stakeholders.
• Stack agnostic. We use Ruby on Rails, React (migrating from Ember), and AWS. But AI tools increasingly abstract the stack — what matters is your ability to learn, build, and operate effectively with tools like Claude Code. If you're great with a high-level programming language and fluent with AI-assisted development, you'll be productive fast.

Why Intercom, why now?

Fin is #1 — and the race is heating up. We built the leading AI agent for customer service, but fast-moving AI-native startups are coming for this space. This is one of the most consequential competitive moments in tech history, and the engineering decisions made in the next 12 months will determine who wins.

A rare pivot that actually worked. Intercom has been building for 15 years — deep product, massive customer base, strong revenue. But unlike most legacy SaaS companies, we made a successful pivot to AI. While most of SaaS trends down, Intercom trends up. We recently raised $250M to go even further even faster..

AI-first engineering culture. Every engineer gets Claude Code with unlimited Opus 4.6 tokens and 1M context. We're investing heavily in the platform capabilities — MCP servers, skills, shared tooling — that make AI-assisted development genuinely transformative. You'll be at the sharp edge of figuring out what this means for how teams work.

The sweet spot. Big enough to have real resources, customers, and revenue. Small enough that you have genuine agency. Bold enough to make decisions that most companies of this size wouldn't. You come to Intercom if you want the impact of a startup with the backing of a company that's been winning for 15 years.

Benefits

We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! 

• Competitive salary and equity in a fast-growing start-up
• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
• Regular compensation reviews - we reward great work!
• Pension scheme & match up to 4%
• Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
• Flexible paid time off policy
• Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
• If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too 
• MacBooks are our standard, but we also offer Windows for certain roles when needed.

#LI-Hybrid

The role

We are seeking a customer-obsessed Solutions Architect to lead technical engagement with Nebius customers across Europe. This role is focused on presales excellence, strong technical storytelling, and driving adoption of Nebius AI Cloud across a wide range of industry segments.

As a Solutions Architect, you will act as a trusted technical partner to customers, helping them understand, evaluate, and adopt Nebius for their AI/ML and high-performance computing workloads. You will combine deep technical expertise with strong communication skills to clearly articulate Nebius’ value proposition and differentiate our platform in a competitive market.

You’re welcome to work remotely from Europe.

Your responsibilities will include:

• Own end-to-end technical presales engagements, from discovery through solution design, PoC execution, and production readiness
• Serve as a trusted technical advisor to customer stakeholders, including CTOs, Heads of AI/ML, and platform engineering teams
• Deliver compelling technical presentations, demos, and workshops that clearly communicate the value of Nebius across different customer segments
• Execute demos and PoCs to demonstrate performance, scalability, and cost efficiency of Nebius solutions
• Translate customer requirements into scalable, production-ready architectures and best practices
• Collaborate closely with Sales, Product, and Engineering to align customer needs with Nebius capabilities and roadmap
• Act as a technical advocate for customers internally, ensuring feedback is incorporated into product and go-to-market strategy
• Support regional go-to-market efforts, including events, meetups, webinars, and technical content creation
• Contribute to building repeatable technical playbooks and assets for the European market

We expect you to have:

• 2–5+ years of experience in technical roles such as Solutions Architect, Cloud Architect, Sales Engineer, or similar, with strong customer-facing exposure
• Proven experience in presales or customer-facing technical roles, including discovery, solution design, and PoC execution
• Strong ability to deliver technical pitches and clearly explain complex infrastructure and AI/ML concepts to both technical and business audiences
• Experience positioning cloud or infrastructure solutions and articulating value propositions in competitive environments
• Solid understanding of ML/AI workloads, including training and inference, and the underlying infrastructure requirements
• Experience with cloud platforms, Kubernetes, and distributed systems
• Hands-on experience with Infrastructure as Code (e.g., Terraform) and scripting/programming (Python preferred)
• Strong communication and storytelling skills, with the ability to adapt messaging across different customer segments
• Deep understanding of the European market, including customer expectations, buying behaviors, and local ecosystem
• Fluency in English plus another language preferred (both written and spoken), with the ability to engage confidently with local customers and stakeholders
• A highly customer-centric mindset, with the ability to balance technical depth and business value

It will be an added bonus if you have:

• Experience with GPU-accelerated workloads and AI infrastructure (NVIDIA ecosystem, CUDA, etc.)
• Hands-on experience with MLOps tools and frameworks (Kubeflow, MLflow, etc.)
• Familiarity with HPC environments and schedulers (e.g., Slurm)
• Experience contributing to regional go-to-market or developer/community initiatives

Principal Solutions Engineer 

The presales mission is to sell better to reduce turn rate and to push for value-driven propositions that solve for customers. 

As a Solutions Engineer, you will partner with the sales organization seamlessly to drive the execution of prospective and expansive deals. You will utilize your technical knowledge to become a trusted partner with sales and services.

What will your day-to-day look like? 

• Building and maintaining relationships with sales reps, partners, customers and other internal stakeholders
• Gaining knowledge of HubSpot products for better-proposed solutions
• Understanding customer challenges and how to deliver technical value to meet their business goals and objectives
• Participating and directing projects relevant to presales, sales, and the wider business
• Coaching and mentoring less experienced team members

What do you need to succeed in this role?

• Presales, technical consultant/sales role or similar (6+ years)
• Experience working with internal teams and stakeholders and dealing with external customers 
• You are open to admitting mistakes and believe that actionable feedback is a great way to learn and grow
• You enjoy collaborating with different teams and are motivated to develop yourself
• You have HEART

Principal Quality Engineer 

Role Summary 

As Principal Quality Engineer based in Aachen, you are the technical authority for quality across our optical product line and regional quality lead for European operations. You will bridge HQ (San Jose) and the Aachen manufacturing site, drive quality integration for in-house optical manufacturing, lead supplier quality for regional semiconductor and optical vendors, and support Asia-based RMA activities for in-region products. 

Key Responsibilities 

Quality‑System Integration: Lead ISO 9001 alignment between San Jose HQ, Aachen, and other regional locations to harmonize procedures, audit schedules, and corrective action processes across both semiconductor and optical product lines. 

Process Development & Implementation: Design, document, and roll out new quality processes, procedures, and work instructions needed to support emerging photonics products and manufacturing capabilities. 

In‑Process Inspection & Controls: Oversee in‑process inspection activities for the in‑house manufacturing operation, establishing SPC, go/no‑go checkpoints, and real‑time defect‑tracking dashboards. 

Supplier Quality (Optics): Provide technical support and quality assurance for optical‑component and optical‑coating suppliers; conduct supplier audits, and drive corrective‑preventive actions (CAPA). 

Supplier Quality (Semiconductor): Serve as the regional point of contact for semiconductor suppliers, monitoring supplier performance, assisting with supplier audits, and leading issue resolution. 

Product Quality: Core Semiconductor Business – Lead technical investigation of field returns, warranty claims, and reliability failures for semiconductor and optical products; coordinate 8D root-cause analysis and interface with Field Application Engineers (FAEs).  

Cross‑Site Liaison: Act as the primary conduit between the Aachen site, other European/EMEA sites, and the San Jose HQ for quality information exchange, escalation handling, and best‑practice sharing. 

Metrics & Reporting:  Define, track, and report key quality KPIs (PPM, DPMO, warranty cost, MTBF, supplier defect rate, etc.) to senior leadership across the BU and corporate HQ. 

Quality Improvement: Lead and demonstrate the application of advanced quality improvement techniques including Lean, Six‑Sigma, and other methods to reduce waste, improve yield, and enhance overall product reliability. 

Education & Experience 

Technical Skills 

Core Competencies 

 Compensation

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits. Astera Labs is committed to fair and equitable pay practices.

Astera Labs is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

We’re looking for a seasoned Principal Specialist Sales Engineer to join our team. This is a fully remote role based in Germany, reporting to the Solutions Specialist Director within the Global Speciality Sales Organisation. As a member of the Core GTM Team, the Principal Specialist Sales Engineer's role is to be the lead technical team member when it comes to Data Security in their Area/Region. Working with their Account Executive team they will work closely with the Core Sales team in order to showcase product value and work with the Product and Engineering teams to drive innovation.

What you’ll do (Role Expectations)

• Providing technical expertise and advice to enterprise customers

• Taking total ownership of the technical sale and processes

• Independently delivering sales pitches, technical and whiteboards presentations

Who You Are (Success Profile)

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.

• You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact.

• You are a learner. You have a true growth mindset and never stop developing yourself, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

• You are a positive force. You approach hard problems with constructive energy and a 'can-do' spirit that is contagious, inspiring your team to stay focused on the solution.

• You operate with urgency. You understand that in a high-growth environment, speed and quality are not mutually exclusive. You have a relentless focus on execution and a bias for action, delivering high-impact results quickly to win for the customer and the team.

What We’re Looking for (Minimum Qualifications)

• BSCS or equivalent with extensive experience as an SE or systems integrator

• More than 7 years of experience in Pre-Sales roles, with at least 3 years of experience in selling security / networking solutions in value based direct sales or high-touch sales environments

• Hands-on expertise in Data Protection and web related technologies

• Must be proficient at working in a matrix environment, working with the larger GTM team to promote, sell and support the Data Security Business line

• Fluency in German

What Will Make You Stand Out (Preferred Qualifications)

• Experience working with Zscaler (or competitive solutions) in the Data Protection Market

• Understanding of SaaS based technologies and regulatory compliance for the Geo

• Experience working in a matrix environment, teaming with a larger GTM and Partner Ecosystem

#LI-Remote

#LI-LS2

SUMMARY

As a Principal Solutions Engineer you will work closely with Wiz’s CTO, Field CTO, Customer Success, Product Management, and R&D organizations to maintain alignment and ensure coordinated efforts across the sales process.

WHAT YOU’LL BRING

• Strong technical background with a solid understanding of core IT, InfoSec, Cloud, and DevOps concepts.
• Proven skillset and experience with a career path focused on public cloud architecture (AWS, Azure, GCP).
• SME level knowledge of Kubernetes and containers with the ability to architect and troubleshoot complex environments.
• Ability to lead conversations focused at various audiences including technical, business, and executive level.
• Be passionate in regard to continuous self-improvement and learning to maintain technical leadership.
• Experience and ability to code and understand developer workflows. Git, CI/CD, helm, terraform etc
• Hands on experience deploying and troubleshooting various k8s distributions
• Solid understanding of computer networking concepts along with hands on experience in cloud 
  networking
• Comfortable leading security architecture discussions with various audiences.
• Knowledge of ASM methodologies, network reconnaissance, cloud security, and vulnerability assessment.
• Full professional fluency in German (written and verbal)
• Proficiency in an additional European language is a plus. 

WHAT YOU’LL DO

• Provide technical and business-relevant feedback into Product Management based on field engagements to improve Wiz’s position and value messaging to prospects and clients.
• Collaborate with Wiz sales teams on strategic opportunities in demonstrating the business and technical value of the Wiz platform.
• Assist SEs and prospects during the POC process with advanced use cases, installation/deployment, and troubleshooting.
• Lead regular thought leadership sessions with the field teams sharing insights and approaches derived through customer engagement to improve our effectiveness in messaging and delivering value to prospective clients and existing customers.
• Assist in messaging and selling Wiz platform capabilities to prospects and customers.

SUMMARY

As a Principal Solutions Engineer you will work closely with Wiz’s CTO, Field CTO, Customer Success, Product Management, and R&D organizations to maintain alignment and ensure coordinated efforts across the sales process.

WHAT YOU’LL BRING

• Strong technical background with a solid understanding of core IT, InfoSec, Cloud, and DevOps concepts.
• Proven skillset and experience with a career path focused on public cloud architecture (AWS, Azure, GCP).
• Deep, practical knowledge of the AppSec landscape, including Application Security Posture Management (ASPM), SAST, DAST, SCA, and the operational use of SBOMs (SPDX/CycloneDX) and their practical use cases for vulnerability and license management.
• Demonstrable proficiency in one or more high-level languages (e.g., Python, Go, Rust) and/or advanced shell scripting. 
• Experience and ability to code and understand developer workflows. Git, CI/CD, helm, terraform etc
• SME level knowledge of Kubernetes and containers with the ability to architect and troubleshoot complex environments.
• Exceptional ability to present complex technical concepts to a wide range of audiences—from deeply technical developer teams to executive-level (CISO, CTO) stakeholders.
• Be passionate in regard to continuous self-improvement and learning to maintain technical leadership.
• Full professional fluency in German (written and verbal)
• Proficiency in an additional European language is a plus. 

WHAT YOU’LL DO

• Serve as the company's top field expert in application and cloud-native security and provide technical and business-relevant feedback into Product Management based on field engagements to improve Wiz’s position and value messaging to prospects and clients.
• Collaborate with Wiz sales teams on strategic opportunities in demonstrating the business and technical value of the Wiz platform.
• Assist SEs and prospects during the POC process with advanced use cases, installation/deployment, and troubleshooting.
• Lead regular thought leadership sessions with the field teams sharing insights and approaches derived through customer engagement to improve our effectiveness in messaging and delivering value to prospective clients and existing customers.
• Assist in messaging and selling Wiz platform capabilities to prospects and customers.

Speed is something we fight for every day at Intercom, and we believe Berlin is built for people who share that instinct. We are drawn to Berlin by its rare blend of deep technical talent and rich creative culture – all within a vibrant, globally connected city that’s close to our R&D hubs in Dublin and London. It’s a place where the best of the best technical talent thrive, and where people from around the world are eager to relocate and build ambitious products.

Our ambition is to hire 100 people in Berlin over the year ahead across engineering, AI, data science, product, and design. We believe this is the most exciting time to join, be the founding R&D talent in the region and make a lasting impact as we build the world's number one customer agent!

What's the opportunity? 

Principal Engineers at Intercom have the opportunity to lead the definition and execution of key strategic initiatives. You will work autonomously and be accountable for strategic execution in part of the engineering organization. You will build both back-end and front-end systems, and work closely with designers, product managers, researchers, and data analysts. You will coach and mentor other engineers and partner closely with the Group Engineering Managers on technical strategy and leadership.

Learn more about our engineering culture at intercom.engineering

What will I be doing? 

As an experienced engineer you will:

• Have a mastery of domain knowledge and work as a leader within the R&D org to drive key strategic projects.

• Provide assessments of project progress, risks and challenges to engineering leadership to help guide resource allocation and prioritisation.

• Contribute to our technical architecture as we grow. We scale to service requests from all our customers’ customers. We’re growing and so are they.

• Care about agility as much you care for scalability and availability. Continuous deployment keeps us focused on incremental releases. Even our biggest technical achievements roll out piece by piece, feature flagged out of sight.

• Contribute to all phases of software development including ideation, prototyping, design and implementation. This role has a mix of both hands-on development as well as lead/architecture work.

• Build using the best tools in the industry. We invest heavily in AI-powered developer tools that remove friction and help you focus on solving meaningful problems.

• Play an active role in hiring, mentoring and career development of other engineers

• Raise the bar for technical standards, performance, reliability, and operational excellence

What skills do I need? 

• Ideally, you’ve built an exciting SaaS product in your previous roles and loved the satisfaction that comes with knowing that people around the world are using something you’ve created

• Significant, demonstrated impact that your work has had on the product and/or the teams

• Deep knowledge of a high-level programming language (for example, Ruby, Python, Perl etc.) but it doesn’t need to be a language that we use here! Great people are effective and learn what we use quickly (or introduce us to better ways of working)

• You will have experience with Distributed systems

• 2+ years of experience as the primary technical leader for a team

• Experience collaborating directly with technical leaders, product teams and designers, and a proven track record of delivering value to customers or users. Engineers at Intercom are pragmatists who work closely with others on cross-disciplinary teams and have a strong sense of product strategy.

Benefits 

We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! 

• Competitive salary, annual bonus and equity
• Regular compensation reviews - we reward great work!
• Generous paid time off above statutory minimum
• Hybrid working
• MacBooks are our standard, but we also offer Windows for certain roles when needed.
• Fun events for Intercomrades, friends, and family!

#LI-Hybrid

What's the opportunity?

Fin is the #1 AI agent for customer service. It resolves over 1M customer conversations every week, and we're just getting started. We're on the cutting edge of defining how AI agents should work — inventing paradigms that didn't exist six months ago and discovering entirely new problem spaces every time we push the technology further.

This role sits at the heart of the Service Agent pillar — 12 teams and growing, building every capability that makes Fin work. You'll partner at the strategic pillar level: broad context across work streams, deep technical understanding of how Fin operates end-to-end, and the autonomy to decide where you need to go next. When we need a new work stream spun up from scratch — a brand new team, an ambiguous problem space, aggressive timelines — you're the person who makes that happen.

The competitive landscape is intense. Fast-moving AI-native startups are coming hard for this space, shipping aggressively and going after the same deals we are. We need someone who thrives under that pressure, who can maintain technical excellence while moving at startup speed within a company that has the resources and customer base to make that speed count.

What will you do?

• Partner at the strategic pillar level. You'll have broad context across work streams and use that to inform technical strategy and investment priorities. What should we care about? Where should we invest? Where do you need to step in? These are your decisions.
• Spin up 0-to-1 work streams. Bring together engineers who've never worked as a team, disambiguate the problem space, build momentum under aggressive timelines, set high expectations, and drive execution.
• Execute on the most ambiguous, highest-stakes problems. You're hands-on. You write code, you ship features, you're deep in the weeds. We've seen too many Principal Engineers who are brilliant but too far from execution to be effective here.
• Lead experimental work at the AI frontier. Run your own A/B tests, do prompt engineering, build evals, and calibrate accuracy, cost, and latency for LLM-powered features. Much of what we're building are new paradigms for customer-facing software.
• Shape long-term technical strategy through execution. Your hands-on work informs the architecture. You're simultaneously building and thinking about what needs to change about how we build products — data models, system design, the shift from GUI-first to agent-first interfaces.
• Work across the full stack in an AI-first development environment. Every engineer has Claude Code with unlimited tokens and a sophisticated ecosystem of MCP servers, skills, and shared context. You'll push the boundaries of what's possible with AI-assisted development and help shape how the entire engineering org works.
• Raise the bar for the people around you. Give direct, actionable feedback that changes outcomes. We don't need someone who mentors juniors on the basics — we need someone who can accelerate and grow the senior and staff engineers around them.

What are we looking for?

The core requirement: engineering depth and product thinking. We need someone who combines deep engineering ability with strong product and design instincts — not one or the other. We don't want engineers who are technically brilliant but disconnected from the product. And we don't want product-minded engineers who have great instincts but can't execute at the level this work demands. You need to be able to both build complex systems AND identify the right problems to solve. This is the single most important dimension we evaluate on.

Beyond that:

• Operated at real scale and has builder energy. You've likely spent time at companies operating at significant scale — the kind of environment where you've seen what large-scale distributed systems actually look like in production. But you also have startup DNA: urgency, resourcefulness, a bias toward building over discussing.
• AI fluency. You're actively experimenting with AI-assisted development, pushing the boundaries of what's possible, and forming opinions about how it changes the way teams build software. This matters more than any specific stack experience.
• Deep technical depth with breadth. You can go deep into the weeds on at least one technical domain, but you also navigate complex multi-team systems with ease. In conversation, you move fluidly from business context to technical strategy to implementation details.
• Communication as a superpower. You can explain to leadership why a technical investment matters, align multiple teams around a complex project, and then walk an engineer through the gnarly implementation details. This role lives and dies on your ability to communicate across every level.
• Extreme autonomy. You partner with the Engineering Director on where you think the pillar needs to go next. You identify problems, form convictions, and act on them. If you're the kind of engineer who waits to be told what to work on, this isn't the right role.
• Critical thinking about the business. You understand what Intercom is optimizing for and translate that into technical decisions. Which work streams need investment? Where are we falling behind? What should we defund to go harder somewhere else? You think at this level naturally.
• At least ~10+ years of experience, with significant time as a technical leader driving complex projects across multiple teams and stakeholders.
• Stack agnostic. We use Ruby on Rails, React (migrating from Ember), and AWS. But AI tools increasingly abstract the stack — what matters is your ability to learn, build, and operate effectively with tools like Claude Code. If you're great with a high-level programming language and fluent with AI-assisted development, you'll be productive fast.

Why Intercom, why now?

Fin is #1 — and the race is heating up. We built the leading AI agent for customer service, but fast-moving AI-native startups are coming for this space. This is one of the most consequential competitive moments in tech history, and the engineering decisions made in the next 12 months will determine who wins.

A rare pivot that actually worked. Intercom has been building for 15 years — deep product, massive customer base, strong revenue. But unlike most legacy SaaS companies, we made a successful pivot to AI. While most of SaaS trends down, Intercom trends up. We recently raised $250M to go even further even faster..

AI-first engineering culture. Every engineer gets Claude Code with unlimited Opus 4.6 tokens and 1M context. We're investing heavily in the platform capabilities — MCP servers, skills, shared tooling — that make AI-assisted development genuinely transformative. You'll be at the sharp edge of figuring out what this means for how teams work.

The sweet spot. Big enough to have real resources, customers, and revenue. Small enough that you have genuine agency. Bold enough to make decisions that most companies of this size wouldn't. You come to Intercom if you want the impact of a startup with the backing of a company that's been winning for 15 years.

Benefits

We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! 

• Competitive salary, annual bonus and equity
• Regular compensation reviews - we reward great work!
• Generous paid time off above statutory minimum
• Hybrid working
• MacBooks are our standard, but we also offer Windows for certain roles when needed.
• Fun events for employees, friends and family!

#LI-Hybrid

About Atari

Atari is an interactive entertainment company and an iconic gaming industry brand recognized worldwide for its multi-platform games and licensed products. Atari owns and/or manages a portfolio of more than 400 games and franchises, including globally recognized brands such as Asteroids®, Centipede®, Missile Command®, Pong®, and RollerCoaster Tycoon®.

The Atari family of brands includes Digital Eclipse, Nightdive Studios, Infogrames, AtariAge, MobyGames, as well as Coatsink, Early Morning Studios, and Stormteller Games—spanning game development, publishing, and community experiences worldwide.

Atari operates internationally with offices in New York, Paris, Germany, and India.

Overview

Architect, build, and own AI systems that automate expert-intensive technical workflows end-to-end — from CLI frameworks, MCP servers, and agent tooling through to production deployment, business outcome tracking, and continuous improvement. You solve real business problems with AI, ensure solutions are fully implemented and adopted, and measure whether they are actually working.

What You’ll Do

System Architecture and Framework Design

• Own the end-to-end architecture of AI automation systems: workflow decomposition, component communication, human checkpoint placement, and failure behaviour.
• Design and build the internal CLI frameworks, reusable libraries, and agent scaffolding that all pipelines are built on.
• Author and maintain agent instruction files (SKILL.md, CLAUDE.md, system prompts), context configurations, and MCP server definitions that govern agent behaviour and tool access.
• Configure and govern AI coding environments such as Claude Code and Codex CLI: wiring MCP servers, defining tool permissions, building slash commands, and setting the engineering standards the team operates by.
• Evaluate and document architectural trade-offs across reliability, latency, cost, and maintainability.

Pipeline Development and Integration

• Build production-grade AI pipelines in Python: orchestration logic, tool definitions, structured prompting, context assembly, output schema validation, and retry and escalation strategies.
• Integrate AI systems with external tooling — version control, build pipelines, platform SDKs, compliance databases, internal APIs — with well-defined permission boundaries and failure handling.
• Design context assembly: how domain knowledge, runtime state, retrieved documents, and tool outputs compose into the precise input each pipeline stage needs.
• Build and operate multi-agent systems: orchestrator-worker patterns, agent memory management, structured handoffs, and conflict resolution between concurrent agents.

Prompt Engineering

• Design, write, and version all system prompts and agent instructions as first-class engineering artefacts: role definition, behavioural constraints, output format contracts, tool usage rules, and fallback handling — with chain-of-thought, few-shot, and structured output techniques applied deliberately per task.
• Own output schema design and prompt regression testing: define format contracts downstream stages depend on, validate against them, and maintain a ground-truth eval set that gates every instruction or model change before deployment.

Context Engineering, Knowledge, and Domain Collaboration

• Engineer context windows with precision: determine what enters each pipeline stage, in what order, and at what granularity — balancing model comprehension and task accuracy against token cost and latency through compression, summarisation, and selective retrieval where needed.
• Work directly with domain experts to extract specialist knowledge and translate it into agent behaviour: decision logic, edge case handling, quality criteria, and failure modes.
• Partner with the RAG Engineer to define retrieval requirements — what knowledge is needed, under what conditions, at what granularity — ensuring retrieved context is precise and actionable.
• Build and maintain structured runtime knowledge assets: curated document corpora, rule sets, decision trees, and validation reference libraries.

Evaluation, Quality, and Reliability

• Build and own the evaluation framework: test suites, regression benchmarks, LLM-as-judge pipelines, per-stage quality metrics, and end-to-end pass rates against expert-validated ground truth.
• Implement production monitoring across all pipelines: latency, token consumption, per-stage success rates, failure distribution, and output quality drift, using tooling such as LangFuse, Arize, or equivalent.
• Run structured failure analysis: diagnose root causes in context assembly, orchestration logic, knowledge coverage, or tool integration — and implement targeted fixes.
• Define and track automation rate as a first-class metric: workflow instances completing end-to-end without human intervention and the verified quality of those outputs.
• Measure and report on business effectiveness of deployed systems: whether the solution is achieving its intended objective, where gaps remain, and what changes would close them.

Governance, Safety, and Technical Leadership

• Implement full audit trails: inputs received, tools called, outputs produced, and human review triggers — making system behaviour traceable and defensible.
• Enforce versioning of all agent instructions, context configurations, and system prompts as engineered artefacts subject to regression testing and controlled rollout.
• Set the technical standard for AI system development within the organisation — architecture patterns, evaluation practices, framework conventions, and quality gates — documented so what you build is maintainable by others.
• Collaborate with engineering, domain, and product teams throughout implementation: answering technical questions, unblocking dependencies, and ensuring the system is correctly adopted by everyone depending on it.
• Engage engineering leadership on roadmap priorities, scope trade-offs, and technical risk with clear technical perspective.

Requirements & Qualifications

• Proven track record of building production AI automation systems from scratch — independently scoping, architecting, and delivering end-to-end from framework design through deployment and ongoing improvement.
• Hands-on expertise with AI coding agents — Claude Code, Codex CLI, Cursor, or equivalent — including MCP server configuration, tool permission design, agent instruction authoring, and CLI-driven workflow automation.
• Experience designing, building, and deploying MCP servers and custom tools from scratch: tool schema design, authentication, permission boundaries, and governing what agents can access and act on.
• Experience creating internal tooling and automation that measurably improved engineering team efficiency — reducing manual processes, accelerating workflows, and enabling teams to operate at higher leverage.
• Experience defining and tracking productivity and efficiency metrics for AI systems: automation rate, time-to-completion reduction, human intervention rate, and business outcome measurement.
• Experience working with data scientists and domain experts to implement AI solutions that measurably improved team productivity and workflow efficiency.
• Deep prompt engineering and context engineering practice: system prompt authoring, few-shot design, chain-of-thought and structured output techniques, token budget management, context window strategy, and prompt versioning with regression testing.
• Proficiency with LLM orchestration frameworks — LangChain, LangGraph, LlamaIndex, AutoGen, or equivalent — with the judgment to know when to use them and when to build leaner.
• Experience building internal CLI frameworks, agent scaffolding, and reusable libraries that others build on.
• Production Python engineering: modular, testable, well-logged code with proper error handling.
• Experience integrating AI systems with external tools and APIs: tool definition design, permission management, rate limit and failure handling.
• Experience building AI evaluation frameworks: test suites, regression benchmarks, LLM-as-judge pipelines, and production quality monitoring.
• Cloud platform experience (AWS, Azure, or GCP): deploying and monitoring AI workloads with containerisation and orchestration tooling.

Preferred / Nice-to-Have

• Experience in the gaming industry: game development pipelines, engine architectures such as Unity or Unreal, platform certification processes, or cross-platform porting workflows.
• Familiarity with game engine scripting, asset pipelines, or platform-specific SDK integration (Xbox GDK, PlayStation SDK, or similar).

To Apply

Please submit your resume and a brief cover letter outlining your experience and interest in the role. If available, you are also welcome to include a link to your portfolio.

EEO Statement

Atari is an equal opportunity employer and we are committed to providing a workplace free from harassment and discrimination.  We are committed to equal employment regardless of race, religion or lack thereof, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, medical condition, veteran status, ancestry, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.

At JetBrains, code is our passion. Ever since we started, back in 2000, we have strived to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

About the Initiative

JetBrains is evolving beyond standalone developer tools toward a unified, AI-native platform for software development.

AI is no longer just an assistant inside the editor –  it is becoming an active participant in how software is planned, built, reviewed, and operated across teams and organizations. This shift introduces new challenges that cannot be solved at the level of individual tools alone: governance, security, cost control, observability, and coordinated work between humans and autonomous agents.

Our goal is to build a platform that enables companies to adopt AI in software development in a structured, scalable, and economically efficient manner – without locking them into closed ecosystems.

We are building the foundation that connects developer workflows, team-level collaboration, and organizational control into a single coherent system.

This platform will serve as the execution and governance layer for AI-driven development, deeply integrated with developer tools but designed to work across teams, products, and environments.

This is a long-term strategic investment for JetBrains and a key pillar of our vision for the future of software development.

The role

We are looking for a Principal Engineer (JetBrains Cloud Platform, Developer Experience) to drive large-scale improvements to the development experience across the JCP.

This role focuses on making JCP engineers faster and more productive by improving build systems, CI/CD pipelines, local development workflows, tooling infrastructure, and AI pipelines. You will own the developer experience end to end – from how engineers develop, build, and test locally to how code moves through CI and reaches production. As this is a rapidly growing platform, many workflows and processes are still maturing. You will define what a great development experience looks like and drive the organization toward it.

As part of the team, you will:

- Own and drive the strategy for developer experience improvements across the entire JCP platform.

- Optimize build systems (Gradle, Nx, and others) for faster builds, better caching, and reliable reproducibility at scale.

- Set up AI development pipelines, managing context, agents, and handoffs, and leveraging tools developed within the JCP.

- Improve CI/CD pipelines – reduce build times, increase reliability, optimize resource usage, and shorten feedback loops across TeamCity and GitHub.

- Improve containerized development workflows (Docker, Dev Containers) to ensure fast and consistent local environments.

- Identify and eliminate bottlenecks in the development cycle – from code commit to production deployment.

- Establish best practices, tooling standards, and shared infrastructure that enable all teams to move faster.

- Collaborate with platform and product teams to understand pain points and deliver high-impact improvements.

We are looking for someone who:

- Has extensive experience with build systems (Gradle, Maven, or Bazel) and a track record of optimizing them at scale.

- Has strong expertise in CI/CD systems (GitHub Actions, TeamCity, Jenkins, or similar) and knows how to ensure high performance and reliability.

- Has hands-on experience with Docker and containerized development workflows.

- Understands the full software development life cycle and can reason about developer productivity holistically.

- Is able to drive cross-team initiatives and influence engineering practices across a large organization.

- Is motivated by making other engineers more productive and removing friction from their daily work.

We'd be particularly thrilled if you:

- Have experience improving the developer experience at scale in a platform or infrastructure organization.

- Have worked on AI-driven development pipelines.

- Have expertise in build caching, remote execution, and incremental build strategies.

- Have contributed to or maintained open-source build tooling or CI/CD infrastructure.

- Enjoy digging into performance problems and turning slow, flaky processes into fast, reliable ones.

#LI-MP1

At JetBrains, we’re building an AI-native platform for software development that connects developer workflows, team-level collaboration, and organizational control into a single coherent system. This platform will serve as the execution and governance layer for AI-driven development, deeply integrated with developer tools but designed to work across teams, products, and environments. This is a long-term strategic investment for JetBrains and a key pillar of our vision for the future of software development.

The role

We are looking for a Software Architect (Product Architecture) to drive architecture within a specific product area.

This role focuses on owning end-to-end architecture for a product domain: making sure product requirements translate into a coherent technical design, that the domain evolves sustainably, and that the product aligns with platform capabilities and constraints. You’ll be the architectural “center of gravity” for a domain, partnering closely with engineers and product stakeholders while collaborating with platform architects on shared foundations and integration contracts.

As this is a new platform, many standards and processes are still works in progress – you will help define them from the perspective of real product needs and delivery constraints.

As part of the team, you will:

• Own the architecture of a specific product domain within JetBrains Cloud Platform and evolve it over time.
• Translate product and domain requirements into clear architectural designs and implementation approaches.
• Define service boundaries, domain models, data flows, and integration contracts, in line with platform standards.
• Drive key architectural decisions and trade-offs in your area (e.g., API design, persistence, reliability, performance, and migration paths).
• Ensure your domain architecture supports scalability, reliability, and observability from the outset.
• Review and validate architectural designs within your domain and team, raising quality and consistency.
• Collaborate with platform architects and other domain owners to align on cross-cutting decisions and shared interfaces.
• Work closely with senior and staff engineers to clarify requirements, reduce ambiguity, and support execution.
  
  

We are looking for someone who:

• Has strong experience in software engineering and system design, with a track record of working on complex systems.
• Has experience owning architecture within a product or domain, including balancing delivery needs with long-term sustainability.
• Is comfortable aligning product needs with platform capabilities and constraints (and negotiating trade-offs when needed).
• Can facilitate architectural decision-making inside a team and across partner teams.
• Is comfortable working in an environment where many processes and standards are still being formed.
• Is motivated by long-term goals, designing for evolution rather than one-off implementations.
  
  

We’d be particularly thrilled if you:

• Have experience designing product architectures that operate in cloud environments and integrate with multiple systems.
• Are strong at reasoning about architectural trade-offs in context (time-to-market vs correctness, flexibility vs complexity, etc.).
• Enjoy helping teams converge on good solutions through collaboration, not enforcement.

Why join JetBrains?

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family.
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Relocation support. We help make your move as smooth and stress-free as possible.
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

#LI-DNI

#LI-DNI

At JetBrains, we’re building an AI-native platform for software development that connects developer workflows, team-level collaboration, and organizational control into a single coherent system. This platform will serve as the execution and governance layer for AI-driven development, deeply integrated with developer tools but designed to work across teams, products, and environments. This is a long-term strategic investment for JetBrains and a key pillar of our vision for the future of software development.

The role

We are looking for a Software Architect (Platform Architecture) to shape the core technical foundations of JetBrains Cloud Platform from the ground up.

This role focuses on the architecture of shared platform capabilities: cross-product services, infrastructure abstractions, integration standards, scalability and reliability principles, and operational foundations (such as security, governance, observability, and cost controls). As this is a new platform, many standards and processes are still works in progress – you will actively influence what good quality looks like and help teams build toward it.

As part of the team, you will:

• Design and evolve the architecture of a cross-product platform that serves as the foundation for AI-driven software development.
• Define architectural principles, standards, and guidelines for platform services and shared foundations.
• Design integration patterns and interfaces between platform services, developer tools, and external systems.
• Ensure architectural decisions support scalability, reliability, security, and observability from the outset.
• Own and drive key platform-level architectural decisions and trade-offs (e.g., service boundaries, data flows, identity, policy, and tenancy).
• Review and validate architectural designs across teams to ensure consistency and long-term sustainability.
• Collaborate with other architects and platform specialists to align on shared decisions and evolve the platform architecture over time.
• Work closely with senior and staff engineers to translate platform requirements into coherent technical designs and implementation plans.
  
  

We are looking for someone who:

• Has strong experience in software engineering and system design, especially in complex, distributed systems.
• Has experience defining or significantly shaping the architecture of new platforms or large-scale systems.
• Is able to facilitate and align architectural decisions across multiple teams, balancing different perspectives and constraints.
• Is comfortable working in an environment where many processes and standards are still not fully established.
• Is motivated by long-term goals and prefers building foundations over delivering short-term features.
  
  

We’d be particularly thrilled if you:

• Have hands-on experience designing or evolving platforms based on Kubernetes and cloud environments such as AWS.
• Have experience with networking, compute, and storage infrastructure and can reason across application and infrastructure layers.
• Enjoy helping teams converge on good solutions rather than enforcing a single “correct” approach.

Why join JetBrains?

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family.
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Relocation support. We help make your move as smooth and stress-free as possible.
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

#LI-DNI

#LI-DNI

At JetBrains, code is our passion. Ever since we started, back in 2000, we have strived to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

We just unveiled JetBrains Central,  a platform for agent-driven software development that connects tools, agents, and infrastructure. It enables automated AI workflows to run, be monitored, and be managed across teams – with clear visibility into results, costs, and performance.

JetBrains Central provides three core capabilities:
Governance and control: Policy enforcement, identity and access management, observability, auditability, and cost attribution for agent-driven work. Some of these functionalities are already available via the JetBrains Central Console.
Agent execution infrastructure: Cloud agent runtimes and computation provisioning that allow agents to run reliably across development environments.
Agent optimization and context: Shared semantic context across repositories and projects, enabling agents to access relevant knowledge, and task routing to the most appropriate models or tools.

Inside the Professional Services department, we are building a team of Forward Deployed Engineers to help our customers adopt AI-native development with JetBrains Central and enable JetBrains consulting partners to transform their customers’ AI-native software development lifecycle.

About the role

As a Principal Forward Deployed Engineer, you will work directly with early adopter customers to deploy JetBrains Central platform into complex enterprise environments and help them move from experimental AI usage to governed, scalable AI-native development.

You will act as a trusted advisor to customer engineering teams and consulting partners, while also mentoring other Forward Deployed Engineers and helping with complex deployments. In this role, you will help establish best practices for enterprise AI adoption and influence how organizations implement AI-driven software development.

This role is often a strong fit for engineers who have previously served as Principal or Staff Engineers, Heads of Engineering, CTOs, or Solutions Architects and who enjoy working directly with customers while staying deeply involved with complex technical systems.

This role combines consulting, architecture, and hands-on engineering. Your work in the field will directly influence how our platform evolves and how enterprises adopt AI-driven development.

You will work directly with the world’s most innovative companies — our client base includes 420 of the Fortune 500 — ensuring they maximize the value of their JetBrains investments.

What you’ll do

• Deploy JetBrains Central platform into enterprise development environments, CI/CD systems, and internal developer platforms.
• Help organizations transition from ad-hoc AI experimentation to governed AI-native development workflows.
• Implement enterprise AI governance, including security policies, access management, and data privacy controls.
• Enable observability for AI-driven development to help organizations understand their AI usage and its impact on productivity, as well as their code-generation patterns.
• Design sustainable AI adoption strategies, including usage controls and cost visibility across multiple model providers.
• Integrate our cloud-based agent execution layer, allowing AI agents to run securely and at scale.
• Collaborate closely with JetBrains product teams to shape the platform based on real-world deployments and customer feedback.
• Create delivery frameworks and train JetBrains partners to deliver the desired scope of service.
• Mentor and support other Forward Deployed Engineers, sharing architectural expertise and helping to scale the team’s deployment practices.

You will thrive in this role if you are

• A consultant at heart who can communicate effectively with both engineers and technical leadership.
• Able to see the whole picture of the software development lifecycle across developer tools, infrastructure, APIs, and cloud systems.
• Experienced at integrating complex software systems into enterprise environments.
• Curious about the future of AI agents and AI-native software development.
• Comfortable working with early adopters and overcoming ambiguous technical challenges.
• Motivated to mentor other engineers and contribute to building a new technical discipline.

What you will bring

• Experience in software-related projects, ideally in a customer-facing or consulting environment.
• Familiarity with Java or Python.
• Experience building or integrating developer platforms, infrastructure systems, or software solutions.
• Familiarity with modern development workflows (CI/CD, developer environments, internal developer platforms, etc.).
• Experience working directly with customers or technical stakeholders.
• Strong problem-solving skills and the ability to operate in fast-evolving technical environments.
• Ability and desire to travel to meet customers.

These would be a plus, but are not blockers

• Experience with industry-specific solutions (fintech, telco, retail, etc.)
• Experience with AI/LLM platforms, agent frameworks, or AI-assisted development tools.
  Experience in solutions engineering, consulting, or forward-deployed engineering roles.
• Familiarity with the JetBrains ecosystem or developer productivity tooling.

#LI-KP1

Why this role is exciting

As a (Principal) Senior C++ Engineer in the Remote Driving Platform team, you will work on the foundational software stack that powers Vay’s driverless fleet. This is the layer that everything else depends on: health management, telemetry, safety integrations, compute performance, and the core platform enabling safe operation on public roads without a safety driver.

You will operate at the intersection of software architecture, performance engineering, and hardware evaluation, shaping the compute backbone of our remote driving system. Your work directly impacts safety, scalability, and our ability to deploy and operate thousands of vehicles globally.

Owning the platform means owning reliability, performance, and developer velocity across the organization. The scope is deep, highly technical, and critical to Vay’s long term success.

We are open to hiring at either Senior or Principal level, depending on experience and scope of ownership.

What you'll be driving

You will design and evolve the common software platform components that other engineering teams build upon. Your work will ensure that our remote driving stack is performant, observable, and production ready at scale.

In order to do that, you will:

• Design, develop, test and maintain core C++ platform components used across Vay
• Build and improve system level tooling for health management, telemetry and incident handling
• Own performance profiling and optimization across vehicle and remote driving compute
• Contribute to the evaluation and selection of compute hardware for vehicles and remote driving stations
• Improve and extend hardware in the loop test setups to accelerate feedback cycles
• Support the production fleet in Berlin and Las Vegas on a scheduled basis
• Collaborate closely with autonomy, systems and fleet teams to ensure safe and scalable deployments

This might be a great fit, if

You are a senior IC who enjoys owning complex systems end to end, from low level performance tuning to production reliability, and you care deeply about building robust software that operates in the real world. 

•  Strong proficiency in C++17 and Linux based systems
•  Experience working with ROS (ROS1 and/or ROS2)
•  Deep understanding of system profiling, debugging and performance optimization
•  Experience building production grade distributed or embedded systems
•  Passion for improving developer productivity through automation and DevOps best practices
•  Strong communication skills with a high sense of ownership and urgency

Nice to Have

• Experience with hardware evaluation and compute platform selection 
• Experience working on robotics, autonomous systems, or safety critical software 
• Interest in leveraging modern AI assisted coding tools to improve engineering velocity

Why choose Vay

💪 A global team of smart, motivated people from 30+ countries who love tackling hard problems and turning bold ideas into reality

🌍 Huge scope for impact in a fast paced environment

💰 ESOP stock options: A stake in Vay’s future - not just a salary

🌴 Unlimited Paid Vacation Days

🎫 Subsidised Deutschland ticket (Berlin)

🏋️‍♂️ Subsidised Urban Sports Club or FitX Membership 

🚗 All Vay team members receive 30% off their Vay rides

🛍️ Exclusive external discounts

💼 €350 Home Office Set-up 

✈️ Relocation financial assistance when relocating to Berlin 

📚 Fully funded German Lessons 

🎊 Regular team events throughout the year

The role 

We’re seeking an exceptional Principal Application SW Engineer to join our Japan-based within the Application Software team, focused on localising and advancing Wayve’s autonomous driving technology for the Japanese market. This is a unique opportunity to play a hands-on role in shaping our AV capabilities in Japan from the ground up.

In this role, you’ll be responsible for the bring-up and early validation of our AI software stack on customer hardware platforms, ensuring seamless performance across diverse SoCs and operating systems. You’ll collaborate closely with cross-functional teams across Verification, Release, and OEM partners to ensure smooth integration and reliable delivery.

Key responsibilities:

• Execute software bring-up on customer hardware platforms (e.g. NVIDIA Drive, Qualcomm Ride).
• Port and configure Linux-based systems, QNX, and Adaptive AUTOSAR environments.
• Integrate and validate drivers, middleware, and boot-time configurations.
• Collaborate with Verification & Release teams to integrate hardware into CI/CD, HIL, and test infrastructure.
• Work with OEM and Tier 1 teams to resolve hardware-specific integration issues.
• Implement system-level diagnostics, logging, and secure boot configuration.
• Develop automation for setup, flashing, health checks, and test execution on target hardware.

About you  

In order to set you up for success at Wayve, we’re looking for the following skills and experience.  

• 8+ years of experience in embedded or automotive software development, ideally with hands-on platform bring-up experience.
• Strong proficiency in C/C++, Bash, and Python.
  Deep understanding of Linux-based embedded systems (Yocto, systemd, bootloaders, device trees).
• Familiarity with QNX and Adaptive AUTOSAR environments and the ability to configure and debug them on target hardware.
  Experience with bring-up on automotive-grade SoCs (e.g., NVIDIA Orin, Qualcomm SA8295/SA8650, Renesas, TI).
• Comfortable working with hardware debuggers, flashing tools, serial consoles, and board support packages (BSPs).
• Familiarity with communication protocols like CAN, Ethernet, PCIe, SPI, I2C.
• Hands-on experience integrating embedded platforms into CI/CD pipelines and test automation frameworks.
• No Japanese language required. 

Desired 

• Exposure to automotive verification environments (e.g., HIL systems, Vector toolchains, custom CI rigs).
• Experience working in a safety-critical domain with an understanding of ISO 26262, boot-time determinism, and watchdogs.
• Understanding of secure boot, OTA updates, and system-level cybersecurity topics.
• Familiarity with Docker, Jenkins, Git, and artifact management tools like JFrog Artifactory.

This is a full-time role based in our office in Tokyo - we offer relocation package and visa sponsorship.

At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.   

We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.

For more information visit Careers at Wayve. 

To learn more about what drives us, visit Values at Wayve 

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

 The Role 

We’re seeking an exceptional Principal Application SW Engineer to join our Germany-based team within the Application Engineering org, focused on localising and advancing Wayve’s autonomous driving technology for the German market. This is a unique opportunity to play a hands-on role in shaping our AV capabilities in Germany from the ground up.

In this role, you’ll be responsible for the bring-up and early validation of our AI software stack on customer hardware platforms, ensuring seamless performance across diverse SoCs and operating systems. You’ll collaborate closely with cross-functional teams across Verification, Release, and OEM partners to ensure smooth integration and reliable delivery.

Key responsibilities:

• Execute software bring-up on customer hardware platforms (e.g. NVIDIA Drive, Qualcomm Ride).
• Port and configure Linux-based systems, QNX, and Adaptive AUTOSAR environments.
• Integrate and validate drivers, middleware, and boot-time configurations.
• Collaborate with Verification & Release teams to integrate hardware into CI/CD, HIL, and test infrastructure.
• Work with OEM and Tier 1 teams to resolve hardware-specific integration issues.
• Implement system-level diagnostics, logging, and secure boot configuration.
• Develop automation for setup, flashing, health checks, and test execution on target hardware.

About you 

In order to set you up for success as a Principal Application SW Engineer at Wayve, we’re looking for the following skills and experience.  

Essential 

• 8+ years of experience in embedded or automotive software development, ideally with hands-on platform bring-up experience.
• Strong proficiency in C/C++, Bash, and Python.
  Deep understanding of Linux-based embedded systems (Yocto, systemd, bootloaders, device trees).
• Familiarity with QNX and Adaptive AUTOSAR environments and the ability to configure and debug them on target hardware.
  Experience with bring-up on automotive-grade SoCs (e.g., NVIDIA Orin, Qualcomm SA8295/SA8650, Renesas, TI).
• Comfortable working with hardware debuggers, flashing tools, serial consoles, and board support packages (BSPs).
• Familiarity with communication protocols like CAN, Ethernet, PCIe, SPI, I2C.
• Hands-on experience integrating embedded platforms into CI/CD pipelines and test automation frameworks.
  
  

Desired 

• Exposure to automotive verification environments (e.g., HIL systems, Vector toolchains, custom CI rigs).
• Experience working in a safety-critical domain with an understanding of ISO 26262, boot-time determinism, and watchdogs.
• Understanding of secure boot, OTA updates, and system-level cybersecurity topics.
• Familiarity with Docker, Jenkins, Git, and artifact management tools like JFrog Artifactory.

This is a full-time role based in our office in Leonberg. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.  We operate core working hours so you can determine the schedule that works best for you and your team.  

#LI-KM1