Senior Software Engineer II

Backend Engineer · Senior · Full Time

IN Remote India4mo ago
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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 have

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

  • Large-Scale Systems

    Nice to have

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

  • Multi-Cloud Architecture

    Nice to have

    Experience with multi-cloud deployments and cloud-native infrastructure across AWS, Azure, GCP

  • Stream Processing

    Nice to have

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

  • Open Source Contribution

    Nice to have

    Active participation in open source projects, particularly in data streaming and distributed systems domain

Tech stack

Languages

JavaGoPythonC/C++

Frameworks

Apache KafkaKafka ConnectApache FlinkDebezium

Databases

PostgreSQLMySQLSnowflake

Tools

KubernetesHelmDockerTerraform

Other

Change Data Capture (CDC)Microservices ArchitectureMulti-tenant SystemsMulti-cloud Infrastructure

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.

  1. 01

    Initial Screening

    Phone or video screening to discuss background, experience, and interest in data streaming technologies

  2. 02

    Technical Assessment

    Coding assessment focusing on algorithms, data structures, and distributed systems design problems

  3. 03

    System Design Interview

    Technical discussion on large-scale distributed systems architecture, focusing on streaming platforms and microservices

  4. 04

    Behavioral Interview

    Cultural fit assessment focusing on leadership, mentorship, customer-centricity, and collaboration skills

  5. 05

    Technical Deep Dive

    In-depth technical discussion with senior engineers about specific backend challenges, Kafka ecosystem, and production operations

  6. 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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