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Netradyne

Posted 16 Oct 2026

Senior Staff Engineer - Infrastructure Software

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Team
Product & SAAS
Posted
16 Oct 2026

About the role

Role Summary

The Infra-Dev team builds the software that runs Netradyne's cloud infrastructure. We write the internal platforms, automation and AI agents that DevOps, Database and engineering teams use every day: cloud cost analytics and anomaly detection, self-service service provisioning on AWS, an internal developer platform on Kubernetes, database access and upgrade automation, S3 data lifecycle and retention, and agentic tooling for infrastructure operations and on-call.

We are looking for a Senior Staff Engineer to provide technical leadership for Infra-Dev. You will own the team's technical goals and major platforms, decide how new initiatives are approached, and stay hands-on in design and code. You bring wide-ranging experience across cloud infrastructure, software engineering, databases and cost management, and you understand how these disciplines affect one another.

Role and Responsibilities

  • Act as technical owner and architect for Infra-Dev's major platforms: the cloud operations and cost platform, the service provisioning tooling, the internal developer platform and infrastructure AI agents.
  • Lead the design and delivery of multi-quarter initiatives such as containerising services onto Kubernetes (EKS), GitOps-based internal developer platforms, an infrastructure registry of service and resource dependencies, and infrastructure-as-code standardisation.
  • Decide the methods, tools and standards for new assignments, including build-vs-buy evaluations, technology selection and migration plans.
  • Lead cloud cost management (FinOps) engineering: cost allocation and unit economics (for example, cost per device or per feature), forecasting, anomaly detection, Savings Plans and Reserved Instance coverage, and COGS/OpEx reporting for engineering and finance leadership.
  • Act as a technical point of contact for Finance and cloud vendors (AWS account and TAM teams, tooling vendors) on cost analysis, forecasts, commitments and renewals.
  • Own the architecture of data lifecycle and storage-cost programs for petabyte-scale S3 data: retention policies, storage-class transitions, data retirement and safe deletion with customer-specific exceptions.
  • Run the team's recurring cost and operations reviews, turning findings into prioritised engineering work and measurable savings.
  • Define the architecture for agentic infrastructure operations: triage and on-call agents, MCP gateways and human-in-the-loop approvals, with clear security guardrails.
  • Set standards for database and access automation across PostgreSQL, MongoDB, Cassandra, OpenSearch, ClickHouse and DynamoDB, working closely with the Database team.
  • Provide architecture guidance on shared infrastructure that DevOps and Database teams depend on, including logging pipelines, internal PKI and certificates, Kubernetes secrets management and device-to-cloud ingestion (IoT, Kinesis Video Streams).
  • Drive security and compliance-by-default in infrastructure tooling: least-privilege IAM, credential lifecycle, secrets management, tagging and audit reporting.
  • Lead architecture and design reviews, RFCs and technical decisions for Infra-Dev, and review designs from DevOps and Database teams where they intersect.
  • Identify and address scalability, reliability, cost and security risks across the infrastructure stack before they become incidents.
  • Lead investigation of complex production issues that cross application, database, network and cloud layers, and drive lasting fixes.
  • Plan sprints and roadmaps with engineering leadership: break down work, manage dependencies, track delivery and report progress with team metrics.
  • Make sure critical knowledge is written down: design documents, runbooks and ownership maps for every system the team runs.
  • Mentor and grow engineers through design guidance, code reviews and career coaching.
  • Take part in hiring, interviews and onboarding for the Infra teams.

Essential Skills

  • 8+ years of hands-on software engineering experience, including significant experience building infrastructure, platform, DevOps or SRE software at scale.
  • Expert programming skills in Python and/or Go, with a strong record of production-quality code and code review.
  • Deep, hands-on AWS expertise across compute, networking, IAM, storage, databases, messaging and billing, including multi-account and multi-cluster environments.
  • Strong experience with Kubernetes (EKS) and the cloud-native ecosystem: Helm, Argo CD, Crossplane, service networking and autoscaling.
  • Strong experience with infrastructure-as-code (Terraform/Terragrunt or equivalent) and designing reusable modules and golden paths.
  • Strong experience designing CI/CD pipelines and safe deployment strategies across multiple environments.
  • Strong understanding of distributed systems: reliability, fault tolerance, idempotency, retries and capacity planning.
  • Strong understanding of database operations and internals for relational and NoSQL data stores.
  • Experience with cloud cost management, including cost data pipelines, cost allocation and commitment-based discounts.
  • Proven ability to determine methods and approaches on new, loosely defined assignments and to evaluate trade-offs across many variables.
  • Proven technical leadership: driving multi-person initiatives and mentoring engineers while staying hands-on.
  • Strong communication skills, with the ability to explain technical trade-offs, risks and cost impact to engineering and business leaders.

Good-to-Have Skills

  • Experience building LLM agents and AI platforms (AWS Bedrock, Strands or LangGraph, MCP, vector databases, agent observability).
  • Experience building internal developer platforms or platform-engineering products used by many teams.
  • Experience with observability platforms such as Prometheus, Grafana, VictoriaMetrics, OpenTelemetry or the ELK stack.
  • Experience with Snowflake, data warehouses and forecasting or anomaly detection techniques (e.g., Prophet, regression models).
  • Experience with IoT or device platforms and large-scale data ingestion.
  • Familiarity with AI-assisted software development tools such as Claude, Cursor and GitHub Copilot.

Leadership & Management Expectations

  • Act as the senior technical leader and approver for Infra-Dev, and own team goals for its tactical business targets.
  • Support the decisions and goals of the wider Infrastructure function (DevOps, Database and Infra-Dev); your work is reviewed on completion.
  • Understand how infrastructure, application engineering, security and finance depend on one another, and design solutions that work across them.
  • Direct how existing engineering principles are applied in Infra-Dev, and guide the development of new infrastructure policies and standards.
  • Build a culture of engineering quality, ownership, automation and continuous improvement.

Qualifications and Education Requirements

  • B.Tech/M.Tech in Computer Science, Engineering or a related field, or equivalent professional experience.
  • Typically requires 8+ years of related experience with a Bachelor's degree, 6+ years with a Master's degree, or a PhD with 3+ years of experience.

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