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NetApp

Optimizes cloud infrastructure costs on AWS

Senior Software Engineer

Backend EngineeringUpdated on Nov 14
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the 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.
  • 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.
  • 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.
  • Familiarity with enterprise security, compliance, auditability, and data governance in regulated environments.
  • Typically requires a minimum of 8 years of related experience.
  • A bachelor's degree or higher in Computer Science, Engineering, Information Technology, or a related technical discipline.

Responsibilities

  • Lead a high-performing engineering team building scalable APIs and data platforms.
  • Own delivery and technical direction while driving AI-first engineering practices using automation and intelligent tooling to improve how software is designed, built, shipped, and operated.
  • Balance hands-on technical leadership with operational excellence and a strong focus on quality and reliability.
  • Partner with Product, Design, Program Management, and cross-functional teams to deliver business solutions.
  • Lead architecture reviews, technical decision-making, and engineering best practices across platforms and services.
  • Demonstrate engineering leadership through mentoring, hiring, coaching, and fostering technical excellence.

Desired Qualifications

  • Exposure to Agentic AI, LLM orchestration, prompt engineering, tool-calling workflows, and AI-assisted automation.
  • Experience with RAG architectures, vector search, knowledge retrieval, and AI-powered applications.
  • Background in streaming platforms, event-driven architectures, and large-scale analytics systems.

About the Company

NetApp

Optimizes cloud infrastructure costs on AWS

Spot.io, part of NetApp, helps businesses manage cloud costs and infrastructure on AWS. It uses software that analyzes cloud usage and automates management to lower compute expenses, especially through AWS EC2 spot instances, which offer spare capacity at reduced prices. The product provides deep visibility into cloud spending, an AWS cost optimization calculator for estimating potential savings, and a free action plan tailored to each customer. Revenue comes from selling software licenses and consulting services. Target customers include enterprises using containers and orchestration tools like Kubernetes, EKS, ECS, KOPS, Docker Swarm, and OpenShift. The company aims to reduce cloud compute costs for customers while simplifying cloud operations and improving efficiency.

Company size
51-200
Company stage
Acquired
Total funding
$53.2M
Headquarters
Tel Aviv-Yafo, Israel
Founded
2015

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