About Parloa

Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience, one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale.

About the role:

As a Forward Deployed Engineer, DevOps, your mission is to build and scale the dedicated infrastructure that powers our custom agent integrations for our most important customers. You will be the key technical cornerstone of our team, empowering our customer-facing Forward Deployed Engineers to build, deploy, and manage bespoke client solutions with speed and confidence. By creating a robust, automated, and self-service platform, you will directly enable the rapid delivery of high-quality, reliable custom services.

Areas of ownership:

• Design, build, and maintain the cloud infrastructure specifically for hosting custom services developed by the Agent Integration Engineering team.
• Create flexible and reusable CI/CD pipeline templates that the integration team can easily adopt to automate the deployment of their services.
• Champion Infrastructure as Code to create standardized, yet customizable, service environments, ensuring consistency and rapid provisioning for new integrations.
• Manage a Kubernetes-based environment tailored for hosting a multitude of diverse integration services, focusing on security, isolation, and resource management.
• Implement robust monitoring and observability solutions to provide the integration team with deep visibility into the performance and health of their specific services.
• Serve as the primary DevOps partner for the Forward Deployed Engineering team, understanding their workflow, anticipating their needs, and removing infrastructure-related obstacles.
• Develop automation scripts (Python, Go, Bash) to streamline the entire lifecycle of custom integration services, from creation to decommissioning.
• Support and modernize legacy Azure infrastructure, helping transition workloads to a standardized, Kubernetes-based platform aligned with Parloa’s Engineering practices.

Who you are:

• 5+ years of professional experience in DevOps, infrastructure engineering, or a similar role.
• A strong customer-first mindset, viewing the Forward Deployed Engineering team as your primary customer.
• Proficiency in at least one scripting or programming language like Python, Go, or Bash.
• Hands-on expertise with a major cloud provider (AWS, GCP, or Azure).
• Advanced knowledge of containerization and orchestration, specifically Kubernetes, Helm, and Docker.
• Proven experience creating flexible CI pipelines with tools like Jenkins, GitHub Actions, or GitLab CI, and CD/GitOps workflows with tools like Argo CD.
• A strong background in Infrastructure as Code (Terraform is highly preferred).
• Experience building self-service tools and platforms that empower specific development teams.

Our Recruiting Process:

Talent Acquisition → Hiring Manager → Technical Interview(s) → Bar Raiser

Why Parloa?

We’re at the beginning of a new era in customer experience, one where AI doesn’t just respond, but understands, reasons, and takes action. We’re building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren’t just support tickets; they’re defining experiences. We’re here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale and want your work to matter in real, everyday moments, this is where you do it.

At Parloa, ownership isn’t a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that’s evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them.

We’ve grown beyond the earliest startup phase, but we’ve kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one.

Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we’re scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI.

Join us as a Senior Backend Engineer (all genders) - Vehicle Foundation in our Vehicle Foundation team on a shared journey that matters! 

What you will do

• Research and develop passenger management systems for autonomous mobility services. 
• Bridge the data flow of the AWS-based backend infrastructure and the in-vehicle components using AWS IoT services (e.g., commands, events, metrics, logs). 
• Develop and improve the backend services used to orchestrate a vehicle’s mission. 
• Work in a bottom-up managed, autonomous, cross-functional team together with other talented engineers.  
• Participate in the full development life cycle, from design to implementation, quality assurance and maintenance.  
• Integrate AI coding assistants in the development process 
• Interface with VW Group, vendors, and other partners to align software interfaces, tooling, and hardware. 

What will help you to fulfill your role 

• Proficiency in Typescript, or another modern typed programming language used on the backend 
• Experience with AWS IoT and Serverless technologies, ideally such as Lambda, DynamoDB, and SQS. 
• Familiarity with communication protocols used to connect edge devices, such as MQTT. 
• Experience with CICD tools such as Github Actions or AWS CodeBuild. 
• General interest in embedded development. 
• Knowledge of current trends in software design, event-driven architecture, DevOps, and a strong interest in further development. 
• Interest in applying agile development practices and a proactive, flexible, and hands-on mindset.

We welcome applicants from diverse backgrounds — even if you don’t meet every requirement. If you’re excited about the role and MOIA’s mission, we’d love to hear from you!

Responsibilities

We are looking for a Senior Platform Infrastructure Engineer to work as a part of the Infrastructure/CICD team. In this role, you will be responsible for some of the items below:

• Participate in building the modern cloud-native scalable, flexible and extensible Internal Platform solution based on Temporal and other tools with focus on optimized cost, availability, stability, security and compliance, DevEx, performance, minimal on-boarding time.

• Maintain and enhance current solutions for the Workato Internal Platform with focus on health, stability, performance & DevEx

• On-board Workato components & applications to Internal Platform.

• Implement pipelines to automate security, reliability, and availability best practices during all stages of software lifecycle.

• Implement complex deployment scenarios, including dynamic environments, progressive rollouts such as canary deployments, chaos engineering, etc.

• Work with engineering teams to better address needs and enable more effective and efficient developer throughput and improve services through rigorous testing and release.

• Gather and analyze metrics from CICD pipelines and infrastructure to assist in performance tuning and stability improvements.

• Participate in system design consulting, platform management, and architecture reviews.

• Document development processes and best practices.

• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review.

• Identify and drive opportunities to improve automation for code integration, quality testing, security scanning and deployment.

If you’re looking for a real challenge in terms of mission criticality, multi-geographic region deployments, diversity of managed services then this might be the position for you!

Requirements

Qualifications / Experience / Technical Skills

• Proficiency in one or more programming languages such as Go, Python, Java, JavaScript, Python, with preference to Go

• Experience with creating internal platform tooling, e.g. CLI tools, etc

• Experience creating scalable development and integration pipelines with tools such as ArgoCD, Argo Workflows, GitHub Actions, or similar solutions.

• Experience creating application deployments of Kubernetes-based services using tools like Kustomize, Helm, ArgoCD or similar ones using release engineering practices such as GitOps.

• Experience with cloud-based architectures like Amazon Web Services and knowledge of related Infrastructure as Code & CICD practices.

• Strong understanding of networking fundamentals and web services architecture.

• Experience with managing complex infrastructure (such as Kubernetes clusters, VPC networking and security policies) using Infrastructure as Code tools (e.g. Terraform or CloudFormation).

• Hands-on experience with containers (creating and optimizing Dockerfiles, using docker-compose), deep understanding of underlying and related technologies (kernel features, container networking, image structure & registry). 

• Familiarity with software packaging tools, functional testing, security validation tools and services, code coverage tools.

• BS or MS in the CS field (or equivalent experience).

• 5+ years professional experience in hands-on engineering roles (Platform Engineer / Software Engineer /  DevOps / SRE / CICD).

(REQ ID: 2718)

A career driven by you. Join AutoScout24 Group and experience life in the fast lane. We’re not just leading the market; we’re creating it. We’re constantly innovating, evolving and transforming things for our customers. We’re driven, ambitious and determined to do our best work, together. For a career that doesn’t stand still, where you can put your ideas in the driving seat and change the way the world moves, join our international community. 

The engineering world is moving very fast. We are all learning every day. Your core traits should be curiosity and a strong drive to learn and grow. We do not expect you to know everything. We expect you to help accelerate our curiosity and learning culture, and to become AI-first together with us. 

What you’ll do:

• Working in the technology stack we are using: Swift, SwiftUI, Swift Concurrency, Swift Testing, SPM, Fastlane, Sonarqube, Github Actions, and integrate with a GraphQL backend and a few REST services
• Familiarity with UI Testing frameworks
• Exploring the usage of advanced AI tools like Claude/Codex
• Own and evolve our modular iOS architecture based on a local Swift package
• Design for testability by default
• Drive the technical planning of projects and features
• Collaborate on API design with other teams
• Evaluate and introduce new technologies 
• Mentor other developers in the team 
• Deliver work in trunk-based development style, using Feature Flags and experiments 
• Collaborate closely with Product and UX 
• Join us on our journey by finding the right mix between effort, quality  and user value  

What you’ll bring: 

• Have 5+ years of professional software engineering experience. 
• You are an enthusiast who is at the forefront of all things regarding Swift and iOS 
• Track record of organizing delivery of big features of a large-scale, multiregional App 
• Have owned complex, business-critical mobile systems end-to-end
• Experience with Continuous Integration and Continuous Delivery Pipelines 
• Fluency in English is required (our working language). German proficiency is a plus
• A pragmatic view of GenAI: you understand its limitations and risks and know how to put guardrails in place (reviews, tests, policies) to keep usage safe, compliant and sustainable at scale
• Bonus: experience working with cloud computing platforms, ideally AWS 
• Bonus: you have experience working with GraphQL 

A culture of growth  

With over 50 nationalities represented, we’re proud to welcome people of all backgrounds to our growing community, and we’re always finding new ways to help people feel welcomed and included. Here, you’ll have the tools, training and support you need to work in a way that suits you, learn new skills and reach your potential.  

For a career where you can drive our business and shape your future, apply now. 

OUR VISION

When people use our technology to "bridge the gap" between the physical and digital worlds, they don’t just capture reality - they create a new one. In this new reality, they are smarter, more productive, more streamlined, and more creative - because they have the digital foundation to build the world they want to live in.

That’s what NavVis offers in all our products and services: the tools to not just map the world as it is, but to pave the way to a better future. To forge something new. Physical or digital, there is only one reality. And it’s the reality NavVis empowers people to build better. 

THE OPPORTUNITY

In this role, you will join the NavVis Mobile Team and use your deep expertise in Android development to shape the future of NavVis IVION Go — our mobile app that lets users dive into rich digital data around them, wherever they go. You will leverage the powerful digital twins created with our mobile mapping devices NavVis VLX/MLX as well as our cutting-edge visual positioning technology to create spatially aware user experiences for our manufacturing clients around the world. 

If you're passionate about clean code and elegant design, keeping up to date with current Android ecosystem, and love building with modern toolchains — you might be exactly who we're looking for! 

HOW YOU WILL MAKE AN IMPACT

• You will progressively take co-ownership of our entire Android codebase, toolchain, and development process. 

• You will collaborate closely with design, product management, and of course your fellow engineers across Android/iOS inside the Mobile Team and on demand with other engineering teams in the IVION department. 

• You will drive architectural decisions for the Android codebase and set the bar for code quality through knowledge sharing and code reviews. 

WHAT WILL HELP YOU SUCCEED IN THE ROLE

• 8+ years of Android development experience, with strong architectural decision-making skills across Kotlin Coroutines/Flow, Jetpack Compose, Jetpack libraries (Room, Lifecycle, ViewModel), Retrofit, and Koin. 

• Solid computer science fundamentals — data structures, algorithms, and design patterns applied in real-world production contexts. 

• Quality-driven development mindset, including TDD/BDD practices, mobile testing (JUnit, Espresso), and CI/CD pipelines (GitHub Actions, GitLab, or Jenkins). 

• Full SDLC ownership — from requirements and architecture through code reviews, testing, and deployment. 

• Agentic AI coding proficiency — goes beyond AI-assisted writing to shape team-wide workflows, curate context, and optimize for token efficiency. 

• Experience with ARCore, game engines, or 3D rendering frameworks is a strong differentiator. 

HOW WE WILL KNOW WE ARE A PERFECT MATCH

Your recruiting partner for this role is Sylvie (she/her). You can expect to go through a screening call, and up to 5 rounds of interviews, where we would love to discover your passion and interests, introduce you to who we are and what drives us, and finally understand how we can potentially add value to each other's growth.

HOW WE WILL KEEP YOU SMILING

• It's important to take a break from work! We offer 30 days of paid time off per year
• Affordable access to a vast network of fitness and wellness facilities through EGYM Wellpass subsidy
• Deutschlandticket subsidy to support sustainable travel using public transport
• We offer flexible working hours and a hybrid work setup, enabling you to plan your work around your life, and not your life around work!
• We offer full visa and relocation support for international candidates
• An attractive bike leasing model through JobRad, in line with our commitment towards sustainable mobility
• A competitive compensation package that values the skills and experience you bring
• Up to 4000 EUR employee referral bonus 
• Financial support for local language classes to help you in your journey of integrating into the culture!

ABOUT US

OUR VISION

When people use our technology to "bridge the gap" between the physical and digital worlds, they don’t just capture reality - they create a new one. In this new reality, they are smarter, more productive, more streamlined, and more creative - because they have the digital foundation to build the world they want to live in.

That’s what NavVis offers in all our products and services: the tools to not just map the world as it is, but to pave the way to a better future. To forge something new. Physical or digital, there is only one reality. And it’s the reality NavVis empowers people to build better. 

THE OPPORTUNITY

As a DevOps Engineer on our Cloud Infrastructure team, you’ll help shape the future of our delivery platform in a modern AWS and Kubernetes environment. You’ll take ownership of our CI/CD ecosystem, champion GitOps practices, and partner closely with engineering teams to streamline and modernize how software is delivered — including driving our migration from TeamCity to GitHub Actions. This is a hands-on, high-impact role where you’ll reduce friction, enable self-service, and accelerate engineering velocity across the organization. 

HOW YOU WILL MAKE AN IMPACT

• Design, build, and maintain scalable CI/CD pipelines using GitHub Actions across multiple development teams  

• Support migration from TeamCity to GitHub Actions, providing best practices and hands-on implementation guidance  

• Own and evolve GitOps workflows using Argo CD to improve deployment reliability and consistency  

• Partner with engineering teams to optimize pipelines, reduce operational toil, and enable self-service delivery  

• Work with Kubernetes workloads on EKS, deploying, troubleshooting, and maintaining services in a containerized environment 

WHAT WILL HELP YOU SUCCEED IN THE ROLE

• Strong hands-on experience with GitHub Actions and TeamCity  

• Experience with pipeline-as-code and version-controlled CI/CD configurations  

• Solid understanding of GitOps principles and hands-on experience with Argo CD  

• Working knowledge of AWS (IAM, EC2, S3, VPC, EKS) and Terraform  

• Practical Kubernetes experience in a cloud-managed environment and scripting skills (Python, Go, or Bash) 

NICE TO HAVE 

• Experience with observability and logging tools (Elastic Stack, Grafana, Prometheus, Datadog)  

• Familiarity with distributed tracing concepts (e.g., OpenTelemetry)  

• Experience working with Helm charts for Kubernetes deployments  

• Exposure to internal developer portals (e.g., Backstage)  

• Experience working in a Platform or DevOps team supporting multiple engineering teams 

HOW WE WILL KNOW WE ARE A PERFECT MATCH

Your recruiting partner for this role is Sylvie (she/her). You can expect to go through a screening call, and up to 4 rounds of interviews, where we would love to discover your passion and interests, introduce you to who we are and what drives us, and finally understand how we can potentially add value to each other's growth. 

HOW WE WILL KEEP YOU SMILING

• It's important to take a break from work! We offer 30 days of paid time off per year
• Affordable access to a vast network of fitness and wellness facilities through EGYM Wellpass subsidy
• Deutschlandticket subsidy to support sustainable travel using public transport
• We offer flexible working hours and a hybrid work setup, enabling you to plan your work around your life, and not your life around work!
• We offer full visa and relocation support for international candidates
• An attractive bike leasing model through JobRad, in line with our commitment towards sustainable mobility
• A competitive compensation package that values the skills and experience you bring
• Up to 4000 EUR employee referral bonus 
• Financial support for local language classes to help you in your journey of integrating into the culture!

ABOUT US

THE OPPORTUNITY

Can you imagine playing a key role in the development of our pioneering browser-based 3D application that produces high-quality photorealistic digital twins?   

Imagine being a critical part of our dynamic cloud team, made up of Cloud and Software Engineers, two QA Engineers, and Product Manager, working on the platform that supports NavVis IVION, our reality capture product for viewing, understanding, and collaborating on 3D scan data in the browser.

The team drives the company's cloud-first vision for our IVION product, enabling our customers to easily, flexibly, and securely deploy IVION instances that meet their user needs, as well as supporting application development teams to better understand, manage, and build on our cloud platform. Try IVION out yourself here. 

If you are eager to use your creativity and technical affinity to build a top-quality cloud platform, then you just might be the person we are looking for! 

HOW YOU WILL MAKE AN IMPACT 

• Developing and operating a diverse range of applications to Kubernetes using Infrastructure-as-Code via Terraform, Helm and ArgoCD

• Building across a range of AWS services as needed, such as S3, Lambdas, EventBridge, etc.

• Integrating data from multiple monitoring sources, including Prometheus, Grafana, and Elastic, to provide comprehensive understanding of our customers and applications

• Supporting application CI/CD in Github Actions

• Working with applications decomposed into a microservice architecture.

WHAT WILL HELP YOU SUCCEED IN THE ROLE 

• 2+ years of experience in a cloud engineering role or equivalent (DevOps, SRE, Platform).

• A solid foundation in software development either gained from experience or university degree.

• Familiar with Kubernetes and hands-on experience in deploying applications to such an environment (e.g. EKS, GKE or similar). 

• Experience building CI/CD chains to enable swift, simple releases, and easily configurable test environments.

• Demonstrated experience working with SaaS products and microservices architectures. 

• Previous experience in GitOps and ArgoCD would be a plus.

• Application development skills (Python, Java, etc) is a bonus.

• Full professional proficiency in English. 

HOW WE WILL KNOW WE ARE A PERFECT MATCH

Your recruiting partner for this role is Johnny (He/Him). You can expect to go through a screening call, and up to 4 rounds of interviews, where we would love to discover your passion and interests, introduce you to who we are and what drives us, and finally understand how we can potentially add value to each other's growth.

HOW WE WILL KEEP YOU SMILING

• It's important to take a break from work! We offer 30 days of paid time off per year
• Affordable access to a vast network of fitness and wellness facilities through EGYM Wellpass subsidy
• Deutschlandticket subsidy to support sustainable travel using public transport
• We offer flexible working hours and a hybrid work setup, enabling you to plan your work around your life, and not your life around work!
• We offer full visa and relocation support for international candidates
• An attractive bike leasing model through JobRad, in line with our commitment towards sustainable mobility
• A competitive compensation package that values the skills and experience you bring
• Up to 4000 EUR employee referral bonus 
• Financial support for local language classes to help you in your journey of integrating into the culture!

THE OPPORTUNITY

At NavVis, we build cutting-edge technology that powers spatial intelligence across industries. This role is for a software engineer who cares deeply about how software is built and efficient developer workflows. You will design and build developer tooling, improve local development workflows, and remove friction in how engineers write, test, and iterate code. 

While you will collaborate with infrastructure and DevOps teams, your primary focus is the developer inner loop — build speed, test reliability, tooling, and engineering productivity. 

If you enjoy enhancing build systems, scaling CI/CD pipelines, and crafting a smooth end-to-end developer experience, this role offers both autonomy and the opportunity to influence engineering excellence at NavVis. 

HOW YOU WILL MAKE AN IMPACT

• You will enhance the end-to-end developer experience by improving local development environments, build systems, testing workflows, and internal development tooling. 

• You will majorly contribute to the building, testing, and releasing processes on our CI/CD system to improve developer velocity and reduce friction across engineering teams. 

• You are responsible for creating robust tooling, frameworks, and automation that streamline code development, testing, and deployment workflows. 

• You will ensure and sustain close collaboration with engineering teams to identify workflow pain points, establish best practices, and drive improvements in onboarding, productivity, and internal processes. 

• You act as a catalyst for engineering excellence by championing developer-centric solutions, continuously evaluating new tools, and proposing improvements to how we build and deliver software. 

WHAT WILL HELP YOU SUCCEED IN THE ROLE

• A Bachelor’s/Master's degree in computer science or relevant technical field, or equivalent practical experience 

• You bring 5+ years as a Software Engineer, with significant experience improving developer workflows, build systems, or internal tooling 

• Proven experience in building and deploying C++ and Python applications 

• Proven experience in modern build systems and source control workflows (e.g. CMake, Bazel, Git, devcontainers)  

• Strong experience with CI/CD systems (GitHub Actions, GitLab CI, Jenkins, TeamCity, etc.) 

• Proven experience in Linux systems knowledge and command-line proficiency (Ubuntu/Debian preferred) 

• Hands-on experience with Docker and containerization 

• Scripting skills in Python or Bash for automation 

• A strong passion for improving developer productivity, paired with excellent communication, collaboration, and a proactive, solution-oriented mindset 

HOW WE WILL KNOW WE ARE A PERFECT MATCH

Your recruiting partner for this role is Rina (she/her). You can expect to go through a screening call, and up to 4 rounds of interviews, where we would love to discover your passion and interests, introduce you to who we are and what drives us, and finally understand how we can potentially add value to each other's growth.

HOW WE WILL KEEP YOU SMILING

• It's important to take a break from work! We offer 30 days of paid time off per year
• Affordable access to a vast network of fitness and wellness facilities through EGYM Wellpass subsidy
• Deutschlandticket subsidy to support sustainable travel using public transport
• We offer flexible working hours and a hybrid work setup, enabling you to plan your work around your life, and not your life around work!
• We offer full visa and relocation support for international candidates
• An attractive bike leasing model through JobRad, in line with our commitment towards sustainable mobility
• A competitive compensation package that values the skills and experience you bring
• Up to 4000 EUR employee referral bonus 
• Financial support for local language classes to help you in your journey of integrating into the culture!

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

The JetBrains Cloud Platform team develops a cloud-based service that helps organizations manage JetBrains products and services with a focus on encouraging the adoption of AI-powered development tools. JCP provides centralized management, usage-based billing, and visibility into AI consumption patterns.

We are currently seeking a skilled Performance QA Engineer to join our team and improve the reliability of our system. In this role, you will be responsible for ensuring the scalability and stability of our distributed systems through rigorous performance testing and analysis.

As part of our team, you will:

• Design, develop, and maintain automated performance test suites for complex distributed systems.
• Identify system bottlenecks, conduct root-cause analysis, and partner with engineering teams to implement remediation strategies.
• Generate high-quality performance reports with actionable recommendations and communicate findings to both technical and non-technical stakeholders.
• Work closely with cross-functional development teams to identify performance-critical components and define SLAs, performance criteria, and workload models.
• Design and enhance frameworks for performance test execution, test results collection, analysis, visualization, and reporting.
• Integrate performance testing into CI/CD pipelines.

We’ll be happy to have you on our team if you have:

• 5+ years of experience in performance testing or engineering.
• Strong hands-on experience with at least one major performance testing tool – K6, JMeter, Gatling, Locust, or LoadRunner (code-based tools are preferred, but git knowledge is a must).
• Solid programming or scripting skills in languages such as Java, Python, JavaScript/TypeScript, or Go.
• A strong understanding of distributed systems, API performance, databases, caching, and networking fundamentals.
• The proven ability to analyze performance metrics, identify bottlenecks, and recommend improvements.
• Experience testing high-traffic or mission-critical applications.
• Strong analytical skills and the ability to communicate technical findings clearly.
• Proficiency in English, both written and spoken.

We’ll be especially thrilled if you have:

• Experience with observability platforms (Prometheus/Grafana and Elastic).
• Experience with containerized and cloud-native environments (Docker, Kubernetes, and AWS/GCP/Azure).
• Familiarity with event-driven systems, streaming platforms (Kafka), and microservice architectures.
• Knowledge of CI/CD automation (TeamCity, GitHub Actions, etc.).

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. (keep if relevant for the role)
• 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

The Role 

The Senior Systems Software Engineer will be a member of the core team building the Quantum Key Distribution system. The focus is on high-performance Python services on Linux, algorithm optimization and acceleration (also via hardware offload), and the role spans defining software architecture, integrating with FPGA/embedded subsystems, and turning requirements into reliable, observable software.  

The Senior Systems Software Engineer leads and co-owns the overall internal QKD software architecture and client-facing software API. By setting engineering standards, mentoring, and unblocking delivery, they ensure predictable releases and a strong execution cadence. 

The Responsibilities 

The Senior Systems Software Engineer should expect to work in the following activities. 

• System architecture
  • Leading and co-owning the QKD software architecture: control plane services, key sifting/postprocessing integration, configuration management, monitoring, and external interfaces 
  • Defining module boundaries and service APIs; evolving the system toward clear data/control-plane separation 

• Efficient implementation and hardware/software integration
  • Designing and implementing high-performance Python services on Linux (asyncio, WebSockets, NumPy); profiling and tuning for latency and throughput
  • Developing, profiling, and optimizing QKD sifting and postprocessing algorithms (signal handling/processing, error correction/information reconciliation, LDPC, privacy amplification) to maximize key rate and minimize end-to-end latency; applying algorithmic improvements and implementation techniques (vectorization, concurrency/async, memory/layout tuning, C/C++ extensions, SIMD/CUDA/GPU/FPGA offload where appropriate)
  • Defining and maintaining robust interfaces with embedded/FPGA system components over UART/USB/PCIe/Ethernet; respecting realtime constraints and failure modes 
  • Guiding downstream system integration (WebSockets/gRPC/REST) and ensuring clear contracts and backward compatibility
  • Designing for test – building mocks/simulators and automated test systems 

• DevOps
  • Building and maintaining CI/CD with Docker and GitHub Actions; automated tests, static analysis, artifact management, and release pipelines
  • Establishing observability (structured logging, metrics, tracing) and operational runbooks; improving reliability and debuggability with SLOs/alerts
  • Embedding security and crypto hygiene by default: secure transport, secrets management, key handling, and coordination with cryptography stakeholders
  • Adding performance benchmarking and regression tracking for key rate and end-to-end latency; integrating profiling/flame graphs into CI and enforcing performance budgets 

The Requirements 

The Senior Systems Software Engineer is expected to have the following qualifications and experience. 

• 5+ years of Python development; 3+ years leading or co‑owning service/system architecture for a hardware‑first product 

• Strong Linux async Python (asyncio, WebSockets), concurrency (threads/processes), profiling/tuning 

• Proven custom hardware integration (MCU, FPGA) over UART/USB/PCIe/Ethernet 

• CI/CD with Docker and GitHub Actions; automated testing, static analysis, artifact management 

• Experience with GPU & CUDA acceleration/optimization; SIMD familiarity 

• Production observability (logging/metrics/tracing) and incident/debug practices 

• Working knowledge of relational/key-value/time-series stores (PostgreSQL/Redis/Prometheus)  

• Security by Default mindset: secrets, secure transport, key/crypto hygiene 

• Proficiency in written and spoken English 

• Ability to be on-site in Munich office several times per week 

• Applicants must have the right to work in Germany at the time of application. We do not provide visa sponsorship. 
• Must be eligible to obtain and maintain either (a) a U.S. Secret (or higher) security clearance or (b) an EU SECRET (or national equivalent) personnel security clearance. Employment is contingent on meeting applicable government security requirements; eligibility is determined by the competent authorities.

Good to have: 

• Experience with QKD systems, cryptography, or high‑rate data pipelines  

• Exposure to C/C++ for low‑level interfacing and FPGA/embedded ecosystems  

• Familiarity with gRPC/Protobuf, schema/versioning strategies, and Kubernetes 

The Role 

The Senior FPGA Developer will be a member of the core team building the Quantum Key Distribution system. The focus is end‑to‑end RTL ownership on AMD/Xilinx (Artix‑7, Kintex UltraScale): architect, implement, verify, and close timing on high‑rate interfaces and deterministic pipelines. The role also sets engineering discipline for FPGA development and mentors a junior engineer. 

The Senior FPGA Developer owns the FPGA architecture/codebase and collaborates closely with embedded/software to define clean contracts, ensure reliable bring‑up, and deliver reproducible, versioned bitstreams. 

The Responsibilities 

The Senior FPGA Developer should expect to work in the following activities. 

• RTL architecture, interfaces, and rather high-speed datapaths
  • Owning SystemVerilog RTL architecture/implementation for Artix‑7 and Kintex UltraScale (SystemVerilog, Vivado)
  • Implementing DDR3/DDR4 controllers integration, PCIe endpoint/DMA, and Ethernet/SFP paths; evaluating/integrating third‑party MAC/PCS IP
  • Building deterministic acquisition/timing/sifting layers — packetization, buffering, alignment; robust clocking/CDC/reset; custom low‑level protocols —  and bridging them to high‑throughput interfaces (DDR/PCIe)
  • Defining clear AXI/AXI‑Stream boundaries and register maps for SW/FW integration 

• Constraints, timing closure, and floorplanning
  • Authoring and maintaining XDC constraints (clocks, I/O, exceptions); achieving consistent timing closure across corners
  • Applying practical floorplanning (pblocks, placement guidance) and CDC methodology; analyzing reports and iterating for margin 

• Verification and CI
  • Establishing a professional verification environment with ModelSim/Questa; developing self‑checking testbenches and regression suites; integrating Python/cocotb co‑simulation with software harnesses/mocks; defining coverage goals (OSVVM/UVM as appropriate)
  • Building CI for lint/sim/synth/impl; archiving reports/bitstreams; automating regressions (including cocotb) and basic HW‑in‑the‑loop smoke tests 

• Bring-up, debug, and releases
  • Board bring-up and debug using ILA/logic analyzers; link training, memory calib, and protocol bring-up
  • Owning bitstream packaging, versioning, and release notes; ensuring reproducible builds and traceable artifacts 

• Cross-team collaboration and mentoring
  • Driving system integration with SW/FW: register/driver contracts, throughput/latency budgets, HIL
  • Mentoring a junior engineer; codifying style guides, reviews, and design documentation 

The Requirements 

The Senior FPGA Developer is expected to have the following qualifications and experience. 

• 5+ years production FPGA on AMD/Xilinx; expert SystemVerilog RTL 

• Demonstrated mentoring of junior engineers 

• Strong constraints/timing (XDC), CDC/reset, and practical floorplanning; consistent timing closure 

• Hands‑on DDR3/DDR4, PCIe endpoints/DMA, Ethernet/SFP; integrating/evaluating third‑party MAC/PCS IP 

• Strong verification background; experience with self-checking testbenches and regression testing, proficiency with ModelSim/Questa. Knowledge of OSVVM/UVM is a plus 

• CI for HDL: scripted sim/synth/impl (Tcl/Make/Python), lint, artifact/version management; board bring‑up and ILA‑based debug 

• System integration with SW/FW: register maps, driver contracts, HIL 

• Proficiency in written and spoken English 

• Ability to be on-site in Munich or Potsdam offices to work with hardware, when required
• Applicants must have the right to work in Germany at the time of application. We do not provide visa sponsorship.
• Must be eligible to obtain and maintain either (a) a U.S. Secret (or higher) security clearance or (b) an EU SECRET (or national equivalent) personnel security clearance. Employment is contingent on meeting applicable government security requirements; eligibility is determined by the competent authorities.

Good to have: 

• AXI4/AXI‑Stream expertise and DMA performance tuning 

• Formal verification exposure 

• Scripting for automation (Python/Tcl) and CI systems (GitHub Actions/Jenkins) 

• MicroBlaze/Zynq ecosystems and low‑level FW/C driver collaboration 

• Proven delivery on Artix‑7 and/or Kintex UltraScale with Vivado 
   

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, 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 Developer Experience Lead 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

Kineto is a next-generation platform that enables creators, educators, and small businesses to generate, deploy, and operate fully functional AI-powered web applications – instantly and at scale. It combines LLM-driven code generation, multi-tenant Postgres (Neon), dynamic hosting (GKE and Knative), automated deployments (Flux), analytics, billing, and a seamless chat-based UX to make software creation accessible to everyone. Our team is growing rapidly, and we’re now seeking an experienced Infrastructure Engineer who can design, build, and maintain our cloud-native platform, with a focus on scalability, reliability, and automated operations.

What you’ll do:

Cloud and platform engineering (DevOps):

• Design, implement, and manage the core infrastructure powering Kineto's platform on Google Cloud Platform (GCP), including networking, security, and identity management.
• Build and operate resilient, highly available distributed systems using Kubernetes (GKE), Knative, Istio, and related cloud-native technologies.
• Automate the entire infrastructure life cycle (IaC) using Terraform and Terragrunt, ensuring secure, reproducible, and auditable environments.
• Implement and maintain CI/CD pipelines (e.g. GitHub Actions and TeamCity) and deployment tools like Flux and Helm for GitOps-driven application delivery.
• Optimize and manage the multi-tenant data layer on Postgres and Neon, focusing on robust tenant isolation, performance, backups, and safe schema management.

Operational excellence and reliability:

• Drive site reliability engineering (SRE) practices, including monitoring, alerting (Prometheus, Grafana), logging (Loki), and incident response.
• Solve complex operational challenges, such as optimizing scale to zero for cost efficiency, minimizing cold starts, enhancing autoscaling behavior, and managing queue backpressure.
• Implement platform-wide performance tuning (e.g. container resource limits, distributed locks, caching strategies, and GC configurations).
• Ensure platform security and compliance by implementing best practices for secrets management, network segmentation, and vulnerability scanning.

Technical leadership:

• Own major infrastructure roadmap items, including multi-region deployments, disaster recovery planning, advanced tenancy separation, and ephemeral preview environments.
• Champion DevOps and SRE principles across the engineering team, mentoring engineers on cloud-native best practices, operational readiness, and debugging complex distributed systems.
• Collaborate with product and engineering teams to define the long-term vision for the platform's architecture and operational model.

We’d be glad to have you on our team if you:

• Have five or more years of experience building and operating large-scale, commercial cloud-native infrastructure, with a strong focus on DevOps/SRE practices.
• Possess deep, hands-on expertise with GCP (or AWS/Azure) and Kubernetes administration and operations (GKE experience is a strong plus).
• Are proficient with infrastructure-as-code (IaC) tools, particularly Terraform, for managing complex environments.
• Have a solid understanding of Linux internals, networking (CNI and service mesh), security, and distributed system design.
• Are familiar with CI/CD tools, GitOps (e.g. Flux), monitoring stacks (Prometheus/Grafana), and logging systems.
• Thrive in cross-functional teams and excel at communicating complex infrastructure ideas clearly.

#LI-YY1

At JetBrains, code is our passion. Ever since we started, back in 2000, we’ve been striving 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.

Today, AI-powered assistance and agents are becoming a core part of how developers work in our IDEs. The ML Workflows Engineering team is dedicated to removing infrastructure challenges, streamlining machine learning operations (MLOps), and enabling teams to focus on the innovative work that matters most – building impactful ML models and intelligent agents. As part of the team, you'll play a key role in designing tools, automation, and pipelines that make machine learning development seamless and intuitive.

By integrating cutting-edge MLOps practices and engineering excellence, we aim to maximize productivity and remove the complexity of ML infrastructure so that our teams can push the boundaries of what’s possible in AI.

As part of our team, you will:

• Build tools, automation, and workflows to simplify infrastructure-heavy tasks, empowering AI teams to focus on experimentation and solving core challenges.
• Develop robust monitoring, logging, and tracing systems to ensure the performance and reproducibility of ML workflows in production.
• Design, implement, and maintain end-to-end machine learning pipelines to enable the seamless development, training, and deployment of ML models and intelligent agents.
• Work with large-scale distributed systems, including GPU clusters, to support training, fine-tuning, and evaluation of ML models.
• Collaborate with product and development teams to transform high-level goals into concrete, scalable, and maintainable systems.
• Optimize workflows for reproducibility, scalability, and cost-efficiency while keeping ML teams productive and focused on innovation.

We’ll be happy to have you on our team if you have:

• Hands-on experience with modern MLOps tooling, including Kubernetes, Cloud providers (GCP and AWS), and ML orchestration frameworks.
• A solid understanding of the ML lifecycle from idea to the customer-facing application.
• The ability to own projects end to end, starting from a high-level problem or product pain point and overseeing it through the design, experimentation, implementation, and iteration phases.
• A customer-centric mindset – you care about how ML engineers are actually working and can translate their needs into actionable, scalable, and maintainable architectural decisions.
• Experience with modern CI/CD systems, like GitHub Actions or JetBrains TeamCity.
• At least three years of Python experience writing clean, maintainable code in modern ML codebases.

Our ideal candidate would have experience with:

• ML orchestrators and workflow tools such as ZenML, Dagster, and Airflow.
• Developing infrastructure components and services using cluster solutions like Kubernetes.
• The development of Python-based backend services.
• Creating and maintaining ML pipelines, including legacy ones.
• Experiment tracking and observability using tools like Weights & Biases, MLflow, Langfuse, or similar.

We’d be especially thrilled if you have experience with: 

• LLM inference frameworks such as vLLM, DeepSpeed, and TensorRT.
• Writing and maintaining Python libraries used by internal (or external) ML engineers.
• A strong theoretical background in NLP and transformer-based approaches.
• Writing code in Java and/or Kotlin.

#LI-HYBRID
#LI-MR1

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.

We’re now looking for an experienced and proactive Full-stack QA Engineer to join our team to help us with functional and performance testing.

Your responsibilities will include: 

• Developing and maintaining an automated testing infrastructure, setting up CI/CD pipelines, selecting and integrating existing tools, and designing new ones.
• Writing and improving automated tests, particularly for APIs.
• Collaborating with the QA and Development teams to design and execute test scenarios.
• Working with logs and monitoring tools (e.g. Kibana, Grafana) to detect functional issues and performance anomalies.
• Ensuring the quality of our distributed AI-powered systems by validating integrations with various language models and APIs.

We would like you on our team if you: 

• Have at least three years of experience in software testing (manual and automated).
• Possess a solid understanding of REST APIs, request/response structures, status codes, and typical scenarios.
• Have hands-on experience with Postman or similar API testing tools.
• Are familiar with writing automated tests for APIs using any programming language or framework.
• Understand distributed systems and microservice architectures.
• Have basic Docker skills (running containers, working with Docker Compose).
• Are comfortable reading and interpreting OpenAPI/Swagger specifications.
• Have a basic understanding of authentication and authorization protocols (e.g. OAuth 2.0, API keys, and JWT).
• Can work well both independently and within a team, demonstrating strong self-management skills.
• Have a good command of English, both spoken and written.

We’d be especially thrilled if you: 

• Have hands-on experience with cloud computing platforms (AWS, GCP) and container orchestration tools (Kubernetes, Helm).
• Have experience with CI/CD tools (e.g. TeamCity or GitHub Actions).
• Have experience with performance testing tools (e.g. k6).
• Are familiar with TypeScript and/or JavaScript.
• Have worked with automated testing infrastructure and processes.
• Enjoy digging into logs and debugging distributed systems.

Main focus: 

• Quality assurance of new features
• Automation of regression testing
• Performance testing

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