EASIERTRADES INDIA LLP
Tazapay - Staff DevOps Engineer
- Compensation
- Not disclosed
- Location
- Chennai; Bangalore
- Work setup
- Not specified
- Seniority
- Staff
- Employment
- Not specified
- Experience
- 10+ years
- Category
- Devops
- Posted
Skills
Full description
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.