Responsibilities (Not exhaustive) :

- Make architectural tradeoffs, design and deliver highly scalable, reliable, secure and fault tolerant cloud infrastructure.

- Be a role model for DevOps and platform engineers, mentor engineers.

- Demonstrate technical leadership and create impact across teams.

- Lead AI strategy and adoption for productivity, infrastructure automation and operational efficiency.

- Drive infrastructure and deployment practices while being secure and compliant (PCI-DSS, SOC2 and others).

- Participate in infrastructure, architecture and security design reviews to maintain our high engineering standards.

- Partner with engineering and product management teams to define and execute the platform roadmap.

- Translate business and engineering requirements into scalable and extensible infrastructure design.

- Proactively manage stakeholder communication related to deliverables, risks, changes and dependencies.

- Coordinate with cross functional teams (Backend, Frontend, Data, Security, QA etc.) on planning and execution.

- Continuously improve platform reliability, developer experience, deployment velocity and operational excellence.

- Engage in capacity and demand planning, system performance analysis, tuning and cost optimization.

- Lead production outages, incident response, post-mortems and drive SRE practices across the engineering organisation.

The Ideal Candidate :

Education :

- Degree in Computer Science or equivalent (B.E/B.Tech or higher) with 10+ years of experience in DevOps, SRE, Platform or Cloud Engineering roles for large distributed systems in reputed organizations.

Requirements :

Must have :

- Hands-on experience in designing, building and operating cloud infrastructure for large scale production systems on AWS.

- Deep knowledge of Linux as a production environment.

- Strong knowledge of distributed systems, networking, systems internals and asynchronous architectures.

- Expert in at least 1 of the following languages for automation and tooling : go, python, shell scripting.

- Extensive experience with AWS services (ECS, EC2, VPC, IAM, RDS, Kinesis, Secrets Manager, SSM, WAF and more).

- Infrastructure as Code expertise with Terraform, CDK or CloudFormation.

- Strong experience with CI/CD tooling such as GitHub Actions, GitLab CI, Jenkins, and GitOps tools.

- Hands-on experience with observability stacks - Prometheus, Grafana, OpenTelemetry, distributed tracing and log aggregation.

- Experience with container infrastructure - Docker, container runtimes and image security.

- Experience administering and operating RDBMS/NoSQL systems at scale, such as Postgres, MongoDB and Redis.

- Ability to design and operate low latency services behind load balancers and API gateways.

- Strong understanding of system performance, scaling and reliability engineering.

- Possess excellent communication, sharp analytical abilities with proven design skills, able to think critically of the current platform in terms of growth and stability.

- Experience with microservice architecture and service-to-service communication patterns.

- Continuously refactor infrastructure and tooling to ensure high-quality design.

- Ability to plan, prioritize, estimate and execute platform releases with good degree of predictability.

- Ability to scope, review and refine user stories for technical completeness and to alleviate dependency risks.

- Passion for learning new things, solving challenging problems.

Nice to have :

- Prior experience with fintech and payments.

- Expert level proficiency with Kubernetes in production.

- Prior experience operating infrastructure for stablecoins, blockchain or cryptocurrency platforms.

- AWS Cloud Certifications.

- Familiarity with security standards and compliance - PCI-DSS, SOC2, OWASP, static code analysis.

- Familiarity with data engineering services - Clickhouse, Dbt ETL.

- Experience working for a start-up.