Senior Staff Engineer - Infrastructure Software

• 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.

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.

If there is a match between your experiences/skills and the Company's needs, we will contact you directly.

Applicants only – Recruiting agencies do not contact.

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• 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.