Senior Software Engineer II

Confluent1 weeks ago

Location

IN Remote India

Type

Full Time

Level

Senior

Role

Backend Engineer

Posted

Mar 2, 2026

Full TimeSenior

The role

Summary

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.

What you'll do

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

What we look for

Technical

Backend Systems Experience8+ years industry experience designing, building, scaling and supporting backend systems in production environments

Programming ProficiencyStrong programming and algorithmic skills with proficiency in Java, Go, C/C++, Python, or similar major programming languages

Distributed SystemsExperience configuring and deploying distributed systems and microservices using modern tools like Kubernetes and Helm

Cloud-Native ArchitectureExpertise in large-scale distributed systems and cloud-native technologies for multi-tenant, multi-cloud environments

Production OperationsExperience in driving operational excellence for large production services including availability, reliability, performance monitoring

Education

Computer Science DegreeBS, MS, or PhD in computer science or related field, or equivalent work experience demonstrating technical competency

Experience

Software Engineering PracticesSolid grasp on good software engineering practices including code reviews, quality focus, and comprehensive documentation

Technical LeadershipStrong sense of technical leadership and mentorship with proven ability to guide team and company success

Customer FocusStrong customer centricity with ability to translate business requirements into technical solutions

Communication SkillsStrong focus on project delivery and communication skills for cross-functional collaboration

Skills

Required skills

Backend Development8+ years of production backend systems development with focus on scalability and reliability

Programming LanguagesProficiency in Java, Go, C/C++, Python, or other major programming languages for systems development

Distributed SystemsDeep understanding of microservices architecture, containerization, and distributed computing patterns

Kubernetes & Cloud ToolsExperience with container orchestration using Kubernetes, Helm, and modern DevOps toolchain

Database IntegrationKnowledge of database systems including PostgreSQL, MySQL, and data warehouse platforms like Snowflake

Change Data CaptureUnderstanding of CDC patterns and tools like Debezium for real-time data synchronization

Nice to have

Apache Kafka EcosystemExperience with Kafka, Kafka Connect, and stream processing frameworks for building data pipelines

Large-Scale SystemsProven track record of delivering large-scale, highly available, low latency systems for enterprise customers

Multi-Cloud ArchitectureExperience with multi-cloud deployments and cloud-native infrastructure across AWS, Azure, GCP

Stream ProcessingKnowledge of Apache Flink or other stream processing frameworks for real-time data analytics

Open Source ContributionActive participation in open source projects, particularly in data streaming and distributed systems domain

Compensation & 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

Interview process

1
Initial Screening — Phone or video screening to discuss background, experience, and interest in data streaming technologies
2
Technical Assessment — Coding assessment focusing on algorithms, data structures, and distributed systems design problems
3
System Design Interview — Technical discussion on large-scale distributed systems architecture, focusing on streaming platforms and microservices
4
Behavioral Interview — Cultural fit assessment focusing on leadership, mentorship, customer-centricity, and collaboration skills
5
Technical Deep Dive — In-depth technical discussion with senior engineers about specific backend challenges, Kafka ecosystem, and production operations
6
Final Round — Meeting with engineering leadership to discuss career goals, team fit, and long-term vision for the role