Senior Software Engineer

NetApp; Bengaluru; Hybrid; INR 3,000,000 - 6,000,000; Full time

Job summary

NetApp in Bengaluru is seeking a Senior Software Engineer to lead a high-performing engineering team building scalable APIs and data platforms. You will own delivery, drive AI-first practices, and balance hands-on technical leadership with operational excellence and quality guarantees.

You will design and operate scalable systems with Go and Python, spearheading architecture reviews and secure development practices across microservices and data pipelines.

Qualifications

• Extensive experience designing, developing, and operating scalable applications using Go and Python
• Strong expertise in distributed systems, microservices, system design, scalability, reliability, and performance optimization
• Deep knowledge of PostgreSQL, Redis, ClickHouse, or equivalent OLTP, caching, and analytics technologies
• Experience with data modeling, query optimization, indexing, caching strategies, and analytics architectures
• Hands-on experience with Data Lakehouse platforms and analytics architectures
• Strong background in data engineering and large-scale data processing systems
• Experience with observability and monitoring tools (ELK, Grafana) and root-cause analysis
• Experience implementing CI/CD pipelines, automated testing, and deployment best practices
• Knowledge of software quality practices and secure SDLC practices
• Experience with SLOs/SLAs, operational runbooks, and disaster recovery processes
• Leadership experience in architecture reviews and engineering best practices

Responsibilities

• Lead design and delivery of scalable APIs and data platforms
• Drive AI-first engineering practices using automation and tooling
• Ensure production readiness with reliability and incident management focus
• Guide architecture decisions across services and platforms
• Mentor engineers and foster technical excellence
• Implement secure development practices throughout SDLC
• Collaborate with Product, Design, and Program Management teams

Skills

Go

Python

REST APIs

GraphQL

Distributed systems

Microservices

System design

PostgreSQL

Redis

ClickHouse

Data modeling

Data Lakehouse

Observability

CI/CD

Security

Education

Bachelor's degree in Computer Science or related field

8+ years of related experience

Tools

ELK Stack

Grafana

CI/CD pipelines

Job description

Job Summary

We are looking for a Senior Software Engineer to lead a high-performing engineering team building scalable APIs and data platforms. You will own delivery and technical direction while driving AI-first engineering practices using automation and intelligent tooling to improve how we design, build, ship, and operate software. You will balance hands-on technical leadership with operational excellence, and a strong focus on quality and reliability.

Job Requirements

• Extensive experience designing, developing, and operating scalable applications using Go and Python, including REST and/or GraphQL APIs.

• Strong expertise in distributed systems, microservices, system design, scalability, reliability, and performance optimization.

• Deep knowledge of PostgreSQL, Redis, ClickHouse, or equivalent OLTP, caching, and analytics technologies.

• Experience with data modeling, query optimization, indexing, caching strategies, and analytics architectures.

• Hands-on experience with Data Lakehouse platforms, including ingestion, transformation, orchestration, governance, warehousing, and analytics.

• Strong background in data engineering and large-scale data processing systems.

• Experience with observability and monitoring tools such as ELK Stack and Grafana, including logging, metrics, tracing, dashboards, and alerting.

• Proven ability to build highly observable systems and perform root-cause analysis.

• Experience implementing CI/CD pipelines, automated testing, release automation, and deployment best practices.

• Strong understanding of software quality practices, including unit testing, integration testing, code reviews, static analysis, and technical debt management.

• Experience integrating security throughout the SDLC and driving secure development practices.

• Strong operational excellence mindset with production support, incident management, reliability engineering, capacity planning, and service health monitoring.

• Experience defining and managing SLOs, SLAs, operational runbooks, troubleshooting guides, and disaster recovery processes.

• Proven ability to lead architecture reviews, technical decision-making, and engineering best practices across platforms and services.

• Strong understanding of cloud-native development, containerization, orchestration, infrastructure automation, and Infrastructure as Code (IaC).

• Experience designing highly available, fault-tolerant, and cost-efficient systems.Strong collaboration skills, partnering with Product, Design, Program Management, and cross-functional teams to deliver business solutions.

• Demonstrated engineering leadership through mentoring, hiring, coaching, and fostering technical excellence.

• Experience adopting AI-first engineering practices to improve development, testing, code reviews, documentation, productivity, and operational efficiency.

• Knowledge of responsible AI adoption, governance, security, compliance, and quality controls.

• Experience leveraging AI for observability, incident triage, automation, root-cause analysis, and developer productivity.

• Exposure to Agentic AI, LLM orchestration, prompt engineering, tool-calling workflows, and AI-assisted automation preferred.

• Experience with RAG architectures, vector search, knowledge retrieval, and AI-powered applications is desirable.

• Background in streaming platforms, event-driven architectures, and large-scale analytics systems is a plus.

• Familiarity with enterprise security, compliance, auditability, and data governance in regulated environments.

Education

• IC - Typically requires a minimum of 8 years of related experience

• Bachelor's degree or higher in Computer Science, Engineering, Information Technology, or a related technical discipline.

We are all about helping customers turn challenges into business opportunity. It starts with bringing new thinking to age-old problems, like how to use data most effectively to run better - but also to innovate. We tailor our approach to the customer's unique needs with a combination of fresh thinking and proven approaches.

At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process.

Equal Opportunity Employer:

NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification.

Why You'll Thrive at NetApp

At NetApp, you won't wait for the perfect moment - you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure.

NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security.

Our culture

We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed - they drive everything we do.

If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one.

AI Disclosure

For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support - rather than replace - human decision-making.