Overview : At NetApp, we have a history of helping customers turn challenges into business opportunities. That’s because we bring new thinking to age-old problems, like how to use data most effectively in the most effective possible way. As an Engineer with NetApp, you’ll have the opportunity to work with modern cloud and container orchestration technologies in a production setting. You’ll play an important role in scaling systems sustainably through automation and evolving them by pushing for changes to improve reliability and velocity.

Own Every Moment at NetApp

At NetApp, your ideas power innovation. We lead in intelligent data infrastructure—delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud.

Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that drive results, innovate to elevate, and excel together across every function.

Job Summary : We are looking for a Software Engineering Manager to lead a high-performing engineering team building scalable APIs and data platforms. You will own delivery, technical direction, and team growth 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 people management, operational excellence, and a strong focus on quality, reliability, and talent development.

Job Requirements : Must Have

- 10+ years of software engineering experience,



including 2+ years in an engineering management or tech lead role with direct reports
- Strong hands-on background with Go and Python in production systems
- Experience building and operating APIs (REST and/or GraphQL) at scale
- Deep familiarity with PostgreSQL, Redis, and ClickHouse (or comparable OLTP + cache + OLAP stack)
- Proven experience with observability and monitoring using ELK and Grafana
- Practical understanding of Data Lakehouse concepts: data ingestion, warehousing/lake patterns, and analytics pipelines
- Track record of engineering excellence: code review culture, CI/CD, testing strategy, and technical debt management
- Demonstrated operational excellence: incident management, SLOs, production support, and reliability improvements
- Strong talent management skills: hiring, coaching, performance management, and team building
- Excellent communication and stakeholder management across technical and non-technical audiences
- Commitment to AI-first engineering: actively using AI tools to improve team productivity, quality, and decision-making

Nice to Have

- Experience with Agentic AI systems: autonomous agents, tool-use workflows, RAG pipelines, or AI orchestration in production
- Background in data engineering, streaming, or large-scale analytics platforms
- Experience with cloud-native infrastructure, containers, and infrastructure-as-code
- Familiarity with security, compliance, and data governance in regulated environments




- Prior experience scaling teams through hypergrowth or platform modernization initiatives

Responsibilities : Engineering Leadership

- Lead, mentor, and grow a team of software engineers; set clear goals, provide regular feedback, and support career development
- Own team delivery: planning, prioritization, execution, and predictable release cadence
- Partner with Product, Design, and cross-functional stakeholders to translate business needs into technical roadmaps
- Guide architecture and technical decisions across services, APIs, and data systems
- Establish and uphold engineering standards: code quality, testing, documentation, and secure development practices

AI-First Engineering

- Champion AI-first engineering: embed AI-assisted development, testing, observability, and operations into day-to-day workflows
- Identify opportunities to automate repetitive work (code generation, reviews, incident triage, runbooks, data pipelines)
- Build team capability to adopt agentic and LLM-based tools responsibly, with clear guardrails for security, quality, and compliance
- Use data and AI-driven insights to improve velocity, defect rates, and operational efficiency

Technical Ownership

- Oversee design and delivery of REST/GraphQL APIs and backend services in Go and Python
- Guide data architecture across PostgreSQL, Redis, and ClickHouse for transactional, caching, and analytics workloads
- Support Data Lakehouse strategy: ingestion, modeling, governance, and analytics enablement
- Ensure systems are observable, debuggable, and production-ready using ELK and Grafana

Operational Excellence

- Define and track SLOs/SLIs, incident response, postmortems, and continuous improvement
- Drive reli

📌 Mgr, Software Engineer (Bengaluru)
🏢 NetApp
📍 Bengaluru