[{"_1":2,"_95":-5,"_96":-5},"loaderData",{"_3":4,"_7":8},"root",{"_5":6},"url","http://nextleveljobs.eu/companies/confluent","routes/companies_.$companyId._index",{"_9":10,"_11":12,"_93":94},"company","Confluent","jobs",[13,65,82],{"_14":15,"_9":16,"_17":18,"_19":20,"_21":22,"_23":-5,"_24":25,"_26":27,"_28":29,"_30":31,"_32":33,"_34":35,"_36":37,"_38":39,"_40":41,"_42":43,"_44":45,"_46":47,"_48":45,"_49":45,"_50":45,"_51":39,"_52":39,"_53":54,"_55":45,"_56":57,"_58":59},"id","691f3738d4ff35391259a684","confluent","remoteId","c2608f30-4631-4401-b9ce-013ef22f2945","title","Staff Software Engineer ","link","https://jobs.ashbyhq.com/confluent/c2608f30-4631-4401-b9ce-013ef22f2945","keywords","created",1763653431,"found",0,"lastSeen",1763862228,"location","Remote, Germany","locations",[],"locationId","65d7b6fbed9a5888a0b7d654","remote",true,"allRemote",false,"description","

We’re not just building better tech. We’re rewriting how data moves and what the world can do with it. With Confluent, data doesn’t sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them.

It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together.

One Confluent. One Team. One Data Streaming Platform.

About the Role:

The Stream Processing & Analytics (SPA) team is building an elastic, reliable, durable, cost-effective, and performant stream processing engine based on Apache Flink for Confluent Cloud.

This role is critical in defining and executing the long-term vision around a scalable, efficient, resilient and true cloud native data stream processor, including initiatives enabling autoscaling and limitless state management, ensuring a zero-knob and worry-free experience for our users and customers by providing the right amount of stream processing at any given point in time, allowing customers to focus on building their use case without managing infrastructure complexities.

What You Will Do:

Architect and Drive Technical Strategy: Own the architecture and technical strategy for a complex engineering system (e.g., a core component of scheduling, deployment, autoscaling, or state management) within the Flink engine.
Contribute to the broader technical vision and translate it into actionable, high-impact projects aligned with Confluent Cloud’s strategic goals.
Exercise sound judgment in balancing short-term implementation efforts versus long-term architectural health.
Complex Project Execution:Independently drive the execution of open-ended, complicated technical projects within your area of expertise or across peer teams from inception through production.
Identify and initiate high leverage, high impact projects in your area of expertise and gain buy-in from stakeholders.
Significantly simplify the complexity of code and design to help the team and company move fast.
Technical Expertise and Operational Excellence:Serve as the sought-out technical expert for your domain, driving great quality and impact to architectural designs for your team and peer teams.
Improve the stability, performance, scalability, and operational excellence across multiple critical systems within the SPA team.
Act as a subject matter expert for troubleshooting and improving operational automation, proactively addressing systemic issues.
Mentorship and Communication:Demonstrate strong, clear, succinct technical communication skills (written and verbal) to drive clear decisions and uplevel communication for the team.
Mentor and coach junior and mid-level engineers, helping the team grow sustainably (e.g., by setting up processes/tools that make others successful).

What You Will Bring:

Deep Expertise: BS, MS, or PhD in computer science or a related field, or equivalent work experience, typically involving 8+ years of relevant experience in stream processing or large-scale distributed systems.
Architectural Acumen: Demonstrated strong fundamentals and extensive experience in the architecture, design, and development of a complex engineering system from end to end.
Strategic Influence: Proven ability to lead efforts with a group OR own a deep technical area individually, and effectively align small groups on technical direction.
Cloud Native Knowledge: Strong understanding of cloud engineering principles, including building and operating mission-critical systems in public cloud environments.
Polyglot Proficiency: Proficiency in Go, Java, Scala, or Rust with the ability to contribute technically to development in these languages.

What Gives You an Edge:

Specialized Domain Knowledge: Deep expertise in the design, implementation, and optimization of large-scale, fault-tolerant state management systems, distributed storage systems, or high-throughput messaging systems.
Open Source Engagement: Recognized, impactful technical contributions to open-source stream processing projects, particularly Apache Flink.
Cloud Operations: Hands-on experience designing and operating Kubernetes operators for distributed applications.

Ready to build what's next? Let’s get in motion.

Come As You Are

Belonging isn’t a perk here. It’s the baseline. We work across time zones and backgrounds, knowing the best ideas come from different perspectives. And we make space for everyone to lead, grow, and challenge what’s possible.

","seniorityLevel","staff","salary","","countryCode","de","city","companyRemoteId","cookieId","indexed","unindexed","aiDescription","

Requirements:

Deep Expertise: BS, MS, or PhD in computer science or a related field, or equivalent work experience, typically involving 8+ years of relevant experience in stream processing or large-scale distributed systems
Architectural Acumen: Demonstrated strong fundamentals and extensive experience in the architecture, design, and development of a complex engineering system from end to end
Strategic Influence: Proven ability to lead efforts with a group OR own a deep technical area individually, and effectively align small groups on technical direction
Cloud Native Knowledge: Strong understanding of cloud engineering principles, including building and operating mission-critical systems in public cloud environments
Polyglot Proficiency: Proficiency in Go, Java, Scala, or Rust with the ability to contribute technically to development in these languages

\n\n

Nice to Have:

Specialized Domain Knowledge: Deep expertise in the design, implementation, and optimization of large-scale, fault-tolerant state management systems, distributed storage systems, or high-throughput messaging systems
Open Source Engagement: Recognized, impactful technical contributions to open-source stream processing projects, particularly Apache Flink
Cloud Operations: Hands-on experience designing and operating Kubernetes operators for distributed applications

\n\n

What You'll Be Doing:

Architect and Drive Technical Strategy: Own the architecture and technical strategy for a complex engineering system (e.g., a core component of scheduling, deployment, autoscaling, or state management) within the Flink engine
Contribute to the broader technical vision and translate it into actionable, high-impact projects aligned with Confluent Cloud’s strategic goals
Exercise sound judgment in balancing short-term implementation efforts versus long-term architectural health
Complex Project Execution: Independently drive the execution of open-ended, complicated technical projects within your area of expertise or across peer teams from inception through production
Identify and initiate high leverage, high impact projects in your area of expertise and gain buy-in from stakeholders
Significantly simplify the complexity of code and design to help the team and company move fast
Technical Expertise and Operational Excellence: Serve as the sought-out technical expert for your domain, driving great quality and impact to architectural designs for your team and peer teams
Improve the stability, performance, scalability, and operational excellence across multiple critical systems within the SPA team
Act as a subject matter expert for troubleshooting and improving operational automation, proactively addressing systemic issues
Mentorship and Communication: Demonstrate strong, clear, succinct technical communication skills (written and verbal) to drive clear decisions and uplevel communication for the team
Mentor and coach junior and mid-level engineers, helping the team grow sustainably (e.g., by setting up processes/tools that make others successful)

\n\n

Perks and Benefits:

Belonging isn’t a perk here, it’s the baseline. We work across time zones and backgrounds, knowing the best ideas come from different perspectives. And we make space for everyone to lead, grow, and challenge what’s possible
We’re proud to be an equal opportunity workplace. Employment decisions are based on job-related criteria, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by law

","category","stack","backend","techStack",[60,61,62,63,64],"golang","java","kubernetes","react","rust",{"_14":66,"_9":16,"_17":67,"_19":68,"_21":69,"_23":-5,"_24":70,"_26":27,"_28":29,"_30":71,"_32":72,"_34":73,"_36":37,"_38":39,"_40":74,"_42":43,"_44":45,"_46":75,"_48":45,"_49":45,"_50":45,"_51":39,"_52":39,"_53":76,"_55":45,"_56":57,"_58":77},"68c0c524821bf6083a32f9b3","4ac58d2c-2003-4753-99e9-e35906297f28","Staff Software Engineer","https://jobs.ashbyhq.com/confluent/4ac58d2c-2003-4753-99e9-e35906297f28",1757463840,"PL Remote Poland",[],"65d7b704ed9a5888a0b7d663","

One Confluent. One Team. One Data Streaming Platform.

About the Role:

We are looking for a staff level technical leader to help us build the next-generation network data plane to enable our Confluent Cloud platform to achieve 10x the current scale. This is a hybrid engineering role, blending deep software development expertise with hands-on operational excellence.

Cloud networking is a strategic investment area with significant potential to impact the company's growth. The Traffic team is responsible for the network platform of Confluent Cloud with a focus on performance, security, reliability, and cost optimizations for all network traffic that ingresses and egresses a customer's Kafka and DSP deployments as well as all internal service to service traffic on Confluent Cloud.

You will architect, design and lead cross-team initiatives to deliver highly scalable, cost efficient, networking data plane solutions, while also ensuring these systems are reliable, observable, and resilient in production. You’ll work across engineering, security, product, and platform orgs to deliver building blocks that empower product teams to integrate networking seamlessly.

What You Will Do:

Design, develop, and operationalize high-performance, scalable, reliable, and resilient systems for the Confluent Cloud network data plane platform.
Independently drive the execution of ambiguously scoped cross-team software projects, ensuring the delivery of complex projects in production with a focus on quality.
Leverage cloud providers to deliver impactful business solutions.
Troubleshoot and improve operations for a complex technical stack that spans across AWS, Azure, and GCP, including microservices, containers, and virtualization.

What You Will Bring:

BS, MS, or PhD in Computer Science or a related field, or equivalent work experience.
8+ years of software engineering industry experience.
Strong fundamentals in distributed systems design and development.
Experience in building and operating large-scale systems.
Solid understanding of networking primitives and protocols.
Self-starter with the ability to work effectively in teams.
Proficiency in C++, Go, Python, or other programming languages

What Gives You an Edge:

Experience with Kubernetes.
Experience with network proxies and/or load balancers.
Experience with public clouds (AWS, Azure, or GCP).

Ready to build what's next? Let’s get in motion.

Come As You Are

","pl","

Requirements:

BS, MS, or PhD in Computer Science or a related field, or equivalent work experience
8+ years of software engineering industry experience
Strong fundamentals in distributed systems design and development
Experience in building and operating large-scale systems
Solid understanding of networking primitives and protocols
Self-starter with the ability to work effectively in teams
Proficiency in C++, Go, Python, or other programming languages

\n\n

Nice to Haves:

Experience with Kubernetes
Experience with network proxies and/or load balancers
Experience with public clouds (AWS, Azure, or GCP)

\n\n

What You Will Be Doing:

Design, develop, and operationalize high-performance, scalable, reliable, and resilient systems for the Confluent Cloud network data plane platform
Independently drive the execution of ambiguously scoped cross-team software projects, ensuring the delivery of complex projects in production with a focus on quality
Leverage cloud providers to deliver impactful business solutions
Troubleshoot and improve operations for a complex technical stack that spans across AWS, Azure, and GCP, including microservices, containers, and virtualization

\n\n

Perks and Benefits:

We’re proud to be an equal opportunity workplace. Employment decisions are based on job-related criteria, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by law. Belonging isn’t a perk here. It’s the baseline. We work across time zones and backgrounds, knowing the best ideas come from different perspectives. And we make space for everyone to lead, grow, and challenge what’s possible.

",[78,79,80,60,62,81,63],"aws","azure","gcp","python",{"_14":83,"_9":16,"_17":84,"_19":85,"_21":86,"_23":-5,"_24":87,"_26":27,"_28":29,"_30":31,"_32":88,"_34":35,"_36":37,"_38":39,"_40":89,"_42":90,"_44":45,"_46":47,"_48":45,"_49":45,"_50":45,"_51":39,"_52":39,"_53":91,"_55":45,"_56":57,"_58":92},"68a78066821bf6083a32d0a6","c9746326-522d-4a3c-b098-3496effcaded","Principal Engineer I","https://jobs.ashbyhq.com/confluent/c9746326-522d-4a3c-b098-3496effcaded",1755807844,[],"

One Confluent. One Team. One Data Streaming Platform.

About the Role:

The Stream Processing & Analytics (SPA) team has the vision to build an elastic, reliable, durable, cost-effective, and performant stream processing engine that smoothly works with the existing Confluent Cloud products. The Apache Flink-based stream processing engine is at the heart of innovations that would unlock the next generation of use cases for Confluent Cloud, with the ability to impact the company’s top and bottom line.

This Principal Engineer role is critical in defining and executing the long-term vision around a scalable, efficient, resilient and true cloud native data stream processor, including initiatives enabling autoscaling and limitless state management, ensuring a zero-knob and worry-free experience for our users and customers by providing the right amount of stream processing at any given point in time, allowing customers to focus on building their use case without managing infrastructure complexities.

What You Will Do:

Architect and Drive Vision: Define, maintain, and execute the technical vision and roadmap for scheduling and deployment of Flink, including autoscaling and managing state, ensuring alignment with Confluent Cloud's strategic goals and customer needs.
Technical Leadership: Provide technical leadership and guidance to the team, setting high standards for design, development, and operational excellence of highly performant, scalable, reliable, and resilient distributed systems.
Complex Project Ownership: Independently drive the architecture, design, and execution of complex, cross-functional software projects from inception to production, with a strong focus on quality, reliability, and business impact.
Open Source Contributions & Strategy: Lead and significantly contribute to open-source software, especially Apache Flink and related stream processing technologies, influencing the community and driving business impact through strategic contributions.
Advanced Troubleshooting & Operational Excellence: Act as a subject matter expert for troubleshooting and improving operations for complex, large-scale technical stacks spanning all three major clouds (AWS, Azure, GCP), proactively identifying and addressing systemic issues.
Mentorship and Growth: Mentor and coach junior and mid-level engineers, fostering a culture of technical excellence, continuous learning, and innovation within the team.

What You Will Bring:

Deep Expertise: BS, MS, or PhD in computer science or a related field, or equivalent work experience, with 12+ years of relevant experience in stream processing and distributed systems.
Architectural Acumen: Demonstrated strong fundamentals and extensive experience in the architecture, design, and development of large-scale distributed systems.
Cloud Native Leadership: Expert-level understanding of cloud engineering principles, including experience building and operating mission-critical systems across multiple public cloud environments.
Strategic Influence: A self-starter with proven ability to lead and influence technical direction within and across teams, driving complex initiatives to successful completion.
Polyglot Proficiency: Proficiency in Go, Java, or Scala, or Rust with a strong ability to contribute to and lead development in these languages.

What Gives You an Edge:

Specialized Distributed Systems Knowledge: A strong background in distributed storage systems, databases, or high-throughput messaging systems.
Cloud & Kubernetes Expertise: Extensive experience with public clouds (AWS, Azure, or GCP) and hands-on experience designing and operating Kubernetes operators for distributed applications.
Significant Open Source Leadership: Recognized contributions and leadership in open-source projects, particularly in the stream processing domain (especially Apache Flink), demonstrating a track record of driving significant community impact.
Experience with State Management: Deep expertise in the design, implementation, and optimization of large-scale, fault-tolerant state management systems.
Experience with implementing Key Value stores or LSM tree based systems: You have expertise in the internals of modern K/V stores or storage engines like SlateDB or RocksDB.

Ready to build what's next? Let’s get in motion.

Come As You Are

","principal","

Requirements:

Deep Expertise: BS, MS, or PhD in computer science or a related field, or equivalent work experience, with 12+ years of relevant experience in stream processing and distributed systems.
Architectural Acumen: Demonstrated strong fundamentals and extensive experience in the architecture, design, and development of large-scale distributed systems.
Cloud Native Leadership: Expert-level understanding of cloud engineering principles, including experience building and operating mission-critical systems across multiple public cloud environments.
Strategic Influence: A self-starter with proven ability to lead and influence technical direction within and across teams, driving complex initiatives to successful completion.
Polyglot Proficiency: Proficiency in Go, Java, or Scala, or Rust with a strong ability to contribute to and lead development in these languages.

\n\n

Nice to Haves:

Specialized Distributed Systems Knowledge: A strong background in distributed storage systems, databases, or high-throughput messaging systems.
Cloud & Kubernetes Expertise: Extensive experience with public clouds (AWS, Azure, or GCP) and hands-on experience designing and operating Kubernetes operators for distributed applications.
Significant Open Source Leadership: Recognized contributions and leadership in open-source projects, particularly in the stream processing domain (especially Apache Flink), demonstrating a track record of driving significant community impact.
Experience with State Management: Deep expertise in the design, implementation, and optimization of large-scale, fault-tolerant state management systems.
Experience with implementing Key Value stores or LSM tree based systems: You have expertise in the internals of modern K/V stores or storage engines like SlateDB or RocksDB.

\n\n

What You Will Be Doing:

Architect and Drive Vision: Define, maintain, and execute the technical vision and roadmap for scheduling and deployment of Flink, including autoscaling and managing state, ensuring alignment with Confluent Cloud's strategic goals and customer needs.
Technical Leadership: Provide technical leadership and guidance to the team, setting high standards for design, development, and operational excellence of highly performant, scalable, reliable, and resilient distributed systems.
Complex Project Ownership: Independently drive the architecture, design, and execution of complex, cross-functional software projects from inception to production, with a strong focus on quality, reliability, and business impact.
Open Source Contributions & Strategy: Lead and significantly contribute to open-source software, especially Apache Flink and related stream processing technologies, influencing the community and driving business impact through strategic contributions.
Advanced Troubleshooting & Operational Excellence: Act as a subject matter expert for troubleshooting and improving operations for complex, large-scale technical stacks spanning all three major clouds (AWS, Azure, GCP), proactively identifying and addressing systemic issues.
Mentorship and Growth: Mentor and coach junior and mid-level engineers, fostering a culture of technical excellence, continuous learning, and innovation within the team.

\n\n

Perks and Benefits:

Belonging isn’t a perk, it’s the baseline. We work across time zones and backgrounds, knowing the best ideas come from different perspectives.
We're proud to be an equal opportunity workplace, where employment decisions are based on job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by law.

",[78,79,80,60,61,62,63,64],"count",3,"actionData","errors"]

Software Engineer

Senior Software Engineer

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