Senior Software Engineer - Confluent

International Business Machines Corporation; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

IBM Software in Bengaluru is seeking a Senior Software Engineer to design, build, and operate backend systems for a cloud-native platform. The role focuses on reliable data pipelines and multi-tenant infrastructure in a distributed environment.

You will work with Java/Go/C/C++ and Python, implement Kafka Connectors, and ensure availability with on-call rotations. The team values curiosity, collaboration, and continuous learning.

Qualifications

• 4+ years designing, building, and supporting backend systems in production.
• Strong software quality focus with code reviews and automated tests.
• Experience with cloud-native distributed systems and microservices.

Responsibilities

• Build mission-critical infrastructure and backend services for scale.
• Develop Kafka Connect connectors for data systems integration.
• Scale connectors and improve performance in cloud and on-premise environments.
• Troubleshoot complex stacks with Kubernetes, containers, and virtualization.
• Participate in on-call rotations and ensure service reliability.

Skills

Java

Go

C/C++

Python

Education

BS or MS in Computer Science or related field

Tools

Kubernetes

Helm

Docker

Job description

Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world.

Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world.

Your Role And Responsibilities 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 multi-tenant, multi-cloud, cloud-native compute substrate to enable seamless data integration across Confluent Cloud. As a Senior Software Engineer, you think strategically and you help drive end-to-end technical delivery from the customer experience to scaling internal operations. You leverage your growing expertise in cloud-native, distributed systems to help take our execution platform to the next level. You care deeply about the key operational aspects (availability, reliability, performance, monitoring, capacity planning, and disaster recovery) of our Connect Platform, helping ensure we provide a highly available, resilient, and secure environment that our largest customers can rely on to run their mission-critical data pipelines. What You Will Do

• Build mission-critical infrastructure: Develop, test, and operationalize high-performance, scalable, and resilient backend services.
• Build and evolve Kafka connectors: Design, develop, and maintain Kafka Connect connectors for integrating with external data systems.
• Scale and optimize connector performance: Solve complex challenges in the stream processing space using cloud and on-premises resources to improve the performance, scalability, and elasticity of Kafka Connectors.
• Troubleshoot & debug: Dive into a complex technical stack that includes microservices, Kubernetes, containers, and virtualization to resolve issues and optimize performance.
• Support operational excellence: Participate in on-call rotations, ensure the operational readiness of our services, and help the team meet availability and performance SLA commitments.
• Innovate & improve: Act as a proactive engineer who identifies and suggests architectural, process, and operational improvements.

Preferred Education Master's Degree

Required Technical And Professional Expertise

• 4+ years of industry experience designing, building, and supporting backend systems in production.
• Solid engineering fundamentals with a deep focus on software quality, code reviews, documentation, and automated testing.
• Strong programming and algorithmic skills, with proficiency in major programming languages such as Java, Go, C/C++, or Python.
• Cloud-native experience, including hands-on experience or strong familiarity with configuring and deploying distributed systems and microservices using modern tools (e.g., Kubernetes, Helm, Docker).
• Operational awareness, with experience participating in on-call rotations and a strong desire to build reliable, production-grade cloud services.
• Self-starter mentality, with the ability to work effectively in a team and excellent written and verbal communication skills.
• Collaborative mindset, featuring a strong sense of customer centricity, teamwork, and a drive to learn and grow alongside your peers.
• Educational background: BS or MS in Computer Science or a related field, or equivalent work experience.

Preferred Technical And Professional Experience

• Experience contributing to large-scale, highly available, low-latency, and high-throughput data systems.
• Knowledge of control planes, data planes, and multi-tenant resource management in public clouds (AWS, GCP, or Azure).
• Prior experience working with or extending the internal architecture of Apache Kafka or Kafka Connect.