Tazapay - Staff DevOps Engineer

Tazapay; Chennai District; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

Tazapay in Chennai, India seeks an senior DevOps/SRE leader to design and operate highly scalable cloud infrastructure. You will mentor engineers, shape platform strategy, and drive AI-driven automation for productivity and reliability.

Ideal candidates bring 10+ years in DevOps/SRE roles for large distributed systems, strong AWS and Kubernetes expertise, and a focus on secure, compliant deployments in a fintech environment.

Qualifications

• 10+ years of experience in DevOps, SRE, Platform or Cloud Engineering for large distributed systems.
• Hands-on design, build and operation of cloud infrastructure for production systems on AWS.
• Strong knowledge of Linux, distributed systems, networking and async architectures.
• Expert in at least one automation language (Go, Python, shell).
• Extensive experience with Terraform, CDK or CloudFormation and CI/CD tooling.
• Proficient in observability stacks and container infrastructures.
• Experience with RDBMS/NoSQL at scale and API gateways.
• Good communication and ability to plan platform releases with predictability.
• Familiarity with fintech/payments domain and security/compliance is a plus.

Responsibilities

• Make architectural tradeoffs and deliver scalable, reliable cloud infrastructure.
• Mentor DevOps and platform engineers and lead technical initiatives.
• Lead AI strategy for productivity and operational efficiency.
• Ensure secure, PCI-DSS and SOC2 compliant infrastructure practices.
• Participate in design reviews and define the platform roadmap.
• Collaborate with Backend/Frontend/Data/Security teams on planning.
• Improve reliability, deployment velocity and developer experience.
• Manage capacity planning, performance analysis and cost optimization.
• Lead outages, incident response, post-mortems and drive SRE practices.

Skills

AWS

Linux

Distributed systems

Automation scripting (Go/Python/Shell)

Terraform

CI/CD tooling

Kubernetes

Observability (Prometheus/Grafana/Open

Containers/Docker

RDBMS/NoSQL (Postgres/MongoDB/Redis)

API gateways/load balancers

Microservices

Education

Bachelor in Computer Science or equivalent

Tools

GitHub Actions/GitLab CI/Jenkins

Terraform/CDK/CloudFormation

Prometheus/Grafana/OpenTelemetry

Docker/Kubernetes

AWS services (EC2, ECS, VPC, RDS)

PostgreSQL/MongoDB/Redis

Job description

• 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.

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.

(ref:hirist.tech)