Tazapay - Staff DevOps Engineer

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.