Senior Software Engineer - Confluent

IBM; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

IBM Software in Bengaluru is seeking a talented Senior Software Engineer to build and operate internal developer platform services powering CI/CD, testing, and developer portals.

You will improve pre-production and performance testing, explore AI-assisted workflows, and drive end-to-end delivery with clear design docs, milestones, and collaboration across teams, mentoring engineers and contributing to platform best practices.

Qualifications

• 3+ years of professional software engineering experience building and operating cloud services, platforms, or large-scale distributed systems.
• Strong fundamentals in distributed systems and reliability; proficiency in at least one statically typed language (Java/Go) plus Python.
• Experience with CI/CD, containers, and infrastructure-as-code.
• Able to drive features from design through rollout with milestones, risk management, and high-quality outcomes.
• Strong communication, mentoring, and cross-functional collaboration.
• Experience owning services in production including on-call and incident response.

Responsibilities

• Build and operate internal developer platform services — design secure, multi-tenant, and scalable services that integrate into existing DevProd systems, and own reliability, performance, and monitoring.
• Improve pre-production and performance testing capabilities — model workloads, automate tests, and provide self-service reporting for teams.
• Explore and integrate AI-assisted workflows for developers — evaluate AI tools, run experiments, and productionize workflows with guardrails.
• Deliver projects end to end in a collaborative way — frame problems, write design docs, break work into milestones, and drive rollout plans with documentation and training.
• Contribute to team and engineering culture — participate in on-call, mentor juniors, and evolve best practices for platform engineering.

Skills

Distributed systems

Reliability engineering

Java

Go

Python

CI/CD

Containers

Infrastructure as code

On-call / incident response

Leadership / mentoring

Education

Master's Degree

Tools

Java

Go

Python

CI/CD tooling

Containers

Infrastructure as Code

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.

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

• Build and operate internal developer platform services — design secure, multi-tenant, and scalable services that integrate into existing DevProd systems (e.g., CI/CD, test infrastructure, developer portals), and own their reliability, performance, and monitoring.
• Improve pre-production and performance testing capabilities — model realistic workloads and stress scenarios, automate performance/scale/regression tests as part of CI/CD, and provide actionable, self-service reporting that helps teams quickly see where their services break or degrade.
• Explore and integrate AI-assisted workflows for developers — evaluate AI tools and frameworks, run data-driven experiments, and, where they add real value, productionize workflows such as triage assistants, anomaly detection over pre‑prod metrics, or intelligent test selection, with appropriate guardrails and visibility.
• Deliver projects end to end in a collaborative way — frame problems, write clear design docs, break work into milestones, drive implementation with your peers, and participate in rollout plans that include documentation, training, and feedback loops with partner teams.
• Contribute to team and engineering culture — participate in on-call and incident response for the components you own, write clear documentation, mentor junior engineers through design and code reviews, and help evolve best practices for DevProd and platform engineering.

Preferred Education

Master's Degree

Required Technical And Professional Expertise

• Experience – 3+ years of professional software engineering experience building and operating cloud services, platforms, or large-scale distributed systems.
• Technical & Platform Depth – Strong fundamentals in distributed systems and reliability; proficiency in at least one statically typed language (e.g., Java, Go) plus a scripting language (e.g., Python); experience with Developer Productivity tooling such as CI/CD, containers, and infrastructure-as-code.
• Execution & Ownership – Demonstrated ability to independently drive features from design through rollout, breaking work into milestones, managing risk, and delivering high-quality outcomes on time.
• Collaboration & Leadership – Strong written and verbal communication skills; experience mentoring other engineers, leading design and code reviews, and influencing cross‑functional stakeholders in a platform setting.
• Operational Excellence – Proven track record owning services in production or critical pre‑prod environments, including on-call, incident response, and postmortems, with a strong bias towards automation to reduce toil and improve reliability.
• AI Awareness – Practical experience or strong interest in integrating AI/ML or LLM-based capabilities into developer or platform workflows, along with an

understanding of how to design sensible guardrails and instrumentation for safe use. You don’t need to be an AI expert, but you’re comfortable evaluating and adopting new tools.

Preferred Technical And Professional Experience

• Hands‑on experience building or integrating AI-powered developer tools (e.g., code assistants, triage copilots, anomaly detection over logs/metrics, intelligent test selection) in production environments.
• Experience building internal developer tools or platform engineering solutions.