Member of Technical Staff

NextGenEnergyJobs

Bengaluru

On-site

INR 1,800,000 - 2,800,000

Full time

14 days+
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Benefits offered by this job

Flexible time off
Wellness resources
Company-sponsored team events

Job summary

Everpure is seeking a Software Engineer in Bengaluru to build and scale microservices and Temporal workflows that drive continuous integration for FlashArray, FlashBlade, and Hyperscale. You will design durable production services and agentic AI tools to reduce time-to-signal and improve infrastructure efficiency.

You will optimize scheduling logic, extend in-house components, and work to minimize queue times while collaborating with platform and product teams to deliver strong developer

Qualifications

  • Backend languages: Go or Rust; Python for automation and AI integration.
  • Distributed systems with microservices and reliability concepts.
  • Experience with AI workflows, LLMs, and retrieval systems is a plus.

Responsibilities

  • Join the Pipeline Engineering team at Everpure as a Software Engineer to design and scale microservices and Temporal workflows.
  • Architect deterministic CI workflows for resilient, debuggable pipeline execution.
  • Optimize compute and testbed utilization across bare-metal and VM fleets.
  • Build operational AI agents for root-cause analysis and triage.
  • Drive platform observability and end-to-end ownership for long-term stability.
  • Collaborate with product teams to improve developer experience and self-service tooling.

Skills

Go
Rust
Python
Linux/Unix debugging
Distributed systems
AI integration

Tools

Kubernetes
Docker
SQL

Job description

And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events.

Key Responsibilities
  • Join the Pipeline Engineering team at Everpure™ as a Software Engineer to build, own, and operationally scale the microservices and Temporal workflows driving continuous integration for FlashArray, FlashBlade, and Hyperscale. In this developer-first role based in Bangalore, you will design durable production services and agentic AI tools that directly reduce time-to-signal, optimize compute utilization, and absorb operational toil across our global engineering workforce.
  • Architect Deterministic CI Workflows: Design and deploy production microservices and durable Temporal workflows that make pipeline execution resilient, resumable, and fully debuggable for enterprise storage platforms.
  • Optimize Compute & Testbed Utilization: Extend in-house scheduling logic and placement algorithms across bare-metal hardware and VM fleets to minimize queue times and maximize infrastructure efficiency.
  • Build Operational AI Agents: Engineer RAG pipelines and agentic workflows over failure logs, vector stores, and test metadata to automate root-cause analysis, flake classification, and developer triage.
  • Drive Platform Observability & Ownership: Establish key platform metrics—including time-to-signal and pass/flake rates—while operating your services end-to-end to ensure long-term stability and eliminate recurring failure modes.
  • Collaborate Across Product Teams: Partner with platform and product engineering groups to deliver developer experience improvements, self-service tools, and streamlined integration paths.
Requirements
  • Backend & Systems Engineering: Strong expertise in typed systems languages (such as Go or Rust) for backend platform services, paired with Python proficiency for automation and AI logic integration.
  • Distributed Systems & Operational Fundamentals: Practical mastery of microservice architecture (concurrency, retries, idempotency) along with solid Linux/Unix debugging skills across network, storage, and application layers.
  • AI & Retrieval Integration: Practical knowledge of building agentic workflows, prompt design, and integrating LLM APIs with vector databases and retrieval-augmented generation (RAG) systems.
  • Infrastructure & Containerization: Hands-on skill in containerizing microservices and managing workloads with Kubernetes, alongside data querying proficiency (SQL or analytics engines) to prove operational impact.
  • Workplace Location: We are primarily an in-office environment and therefore, you will be expected to work from the Bangalore office in compliance with Everpure’s policies, unless you are on PTO, or work travel, or other approved leave.
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