Senior Software Engineer II
Backend Engineer · Senior · Full Time
Opens Confluent's application page
Role
What you'll do.
Confluent is seeking a Senior Software Engineer II to build mission-critical backend services for their data streaming platform. This role focuses on developing cloud-native, multi-tenant compute infrastructure that powers Confluent Cloud, including Kafka Connect, Apache Flink, and Kafka services. The ideal candidate brings 8+ years of backend systems experience and expertise in distributed systems architecture.
Responsibilities
- Backend Service Development: Build mission-critical backend services that deliver value to customers with focus on high performance, scalability, reliability, and resilience
- Kafka Connect Architecture: Design, develop, and maintain Kafka Connect connectors for integrating with databases and data warehouses including PostgreSQL, MySQL, and Snowflake
- CDC Implementation: Work with open source technologies like Debezium and Kafka Connect to implement Change Data Capture connectors for real-time data synchronization
- Technical Troubleshooting: Debug and resolve complex technical issues within deep technology stacks including microservices, containers, and virtualization layers
- Operational Excellence: Ensure operational readiness of services and meet availability and performance SLA commitments to enterprise customers
- Strategic Engineering: Drive end-to-end technical delivery from customer experience to scaling internal operations while identifying process and operational improvements
Qualifications
What we look for.
Technical
Backend Systems Experience
8+ years industry experience designing, building, scaling and supporting backend systems in production environments
Programming Proficiency
Strong programming and algorithmic skills with proficiency in Java, Go, C/C++, Python, or similar major programming languages
Distributed Systems
Experience configuring and deploying distributed systems and microservices using modern tools like Kubernetes and Helm
Cloud-Native Architecture
Expertise in large-scale distributed systems and cloud-native technologies for multi-tenant, multi-cloud environments
Production Operations
Experience in driving operational excellence for large production services including availability, reliability, performance monitoring
Education
Computer Science Degree
BS, MS, or PhD in computer science or related field, or equivalent work experience demonstrating technical competency
Experience
Software Engineering Practices
Solid grasp on good software engineering practices including code reviews, quality focus, and comprehensive documentation
Technical Leadership
Strong sense of technical leadership and mentorship with proven ability to guide team and company success
Customer Focus
Strong customer centricity with ability to translate business requirements into technical solutions
Communication Skills
Strong focus on project delivery and communication skills for cross-functional collaboration
Skills
Required
Backend Development
8+ years of production backend systems development with focus on scalability and reliability
Programming Languages
Proficiency in Java, Go, C/C++, Python, or other major programming languages for systems development
Distributed Systems
Deep understanding of microservices architecture, containerization, and distributed computing patterns
Kubernetes & Cloud Tools
Experience with container orchestration using Kubernetes, Helm, and modern DevOps toolchain
Database Integration
Knowledge of database systems including PostgreSQL, MySQL, and data warehouse platforms like Snowflake
Change Data Capture
Understanding of CDC patterns and tools like Debezium for real-time data synchronization
Preferred
Apache Kafka Ecosystem
Nice to haveExperience with Kafka, Kafka Connect, and stream processing frameworks for building data pipelines
Large-Scale Systems
Nice to haveProven track record of delivering large-scale, highly available, low latency systems for enterprise customers
Multi-Cloud Architecture
Nice to haveExperience with multi-cloud deployments and cloud-native infrastructure across AWS, Azure, GCP
Stream Processing
Nice to haveKnowledge of Apache Flink or other stream processing frameworks for real-time data analytics
Open Source Contribution
Nice to haveActive participation in open source projects, particularly in data streaming and distributed systems domain
Tech stack
Languages
Frameworks
Databases
Tools
Other
Compensation
Pay and benefits.
Benefits
Equal Opportunity
Proud to be an equal opportunity workplace with employment decisions based on job-related criteria without discrimination
Inclusive Culture
Belonging-focused culture that works across time zones and backgrounds, encouraging diverse perspectives and leadership opportunities
Professional Growth
Opportunities to lead, grow, and challenge what's possible in cutting-edge data streaming technology
Remote Work
Flexible remote work arrangements for India-based team members with global collaboration opportunities
Process
Interview steps.
- 01
Initial Screening
Phone or video screening to discuss background, experience, and interest in data streaming technologies
- 02
Technical Assessment
Coding assessment focusing on algorithms, data structures, and distributed systems design problems
- 03
System Design Interview
Technical discussion on large-scale distributed systems architecture, focusing on streaming platforms and microservices
- 04
Behavioral Interview
Cultural fit assessment focusing on leadership, mentorship, customer-centricity, and collaboration skills
- 05
Technical Deep Dive
In-depth technical discussion with senior engineers about specific backend challenges, Kafka ecosystem, and production operations
- 06
Final Round
Meeting with engineering leadership to discuss career goals, team fit, and long-term vision for the role
Full posting
Original listing.
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:
Backend engineers at Confluent work on a set of diverse and complex challenges such as building foundational cloud frameworks and services that power all components of the platform in the Cloud. We are building a new multi-tenant, multi-cloud, polyglot, cloud native compute substrate to enable new business opportunities across Confluent Cloud (including Connect, Apache Flink, Kafka and more) .
As a Senior Software Engineer, you think strategically and you help drive end-to-end technical delivery from customer experience to scaling internal operations. You are not confined to the status quo and you leverage your expertise in Cloud-native, large-scale distributed systems to help take our platform to the next level. You worry about key operational aspects (availability, reliability, performance, monitoring, emergency response, capacity planning, disaster recovery) of our new Compute Platform, and you make sure that we have a highly-available, resilient and secure offering that our largest customers can rely on.
What You Will Do:
Build mission-critical backend services that deliver value to our customers. You will play a crucial role in architecting, designing, developing and operationalizing high performance, scalable, reliable and resilient services
Design, develop, and maintain Kafka Connect connectors for integrating with databases and data warehouses (e.g., PostgreSQL, MySQL, Snowflake).
Work with open source technologies like Debezium and Kafka Connect to implement Change Data Capture (CDC) connectors.
Troubleshoot and debug technical issues inside a deep and complex technical stack that includes microservices, containers, and virtualization
Ensure operational readiness of the services and meet the availability and performance SLA commitments to our customers
A strategic engineer who constantly thinks of process and operational improvements
What You Will Bring:
8+ years industry experience designing, building, scaling and supporting backend systems in production with a solid grasp on good software engineering practices such as code reviews, deep focus on quality, and documentation.
Strong programming and algorithmic skills. Proficiency in a major programming language, e.g. Java, Go, C / C++, Python, etc.
Experience configuring and deploying distributed systems and microservices using modern tools, e.g. Kubernetes, Helm, etc.
Strong focus on project delivery and communication skills.
Experience in driving operational excellence for large, production services.
A strong sense of customer centricity, teamwork, technical leadership and mentorship and are excited about team and company success.
BS, MS, or PhD in computer science or a related field, or equivalent work experience.
What Gives You an Edge:
Proven track record of delivering large-scale, highly available, low latency, high quality systems.
Hands-on technical expertise in large scale systems engineering or distributed systems.
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.
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.
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