This role is for one of the Weekday's clients

Salary range: Rs 1500000 - Rs 3500000 (ie INR 15-35 LPA)

Min Experience: 5 years

Location: Bangalore

JobType: full-time

We're looking for a Senior DevOps Engineer who thrives on automation, scalability, and reliability. You'll be responsible for building, maintaining, and optimizing cloud infrastructure and deployment pipelines that support high-availability systems. This role is ideal for someone who loves automating everything, has strong AWS expertise, and enjoys working in fast-paced, distributed environments.

Requirements

Key Responsibilities

Design, implement, and maintain scalable infrastructure using AWS services.
Automate provisioning and deployment using CDK, CloudFormation, or Terraform.
Develop and manage CI/CD pipelines using tools like GitHub Actions and Jenkins.
Set up and monitor system health using OpenTelemetry, Prometheus, and Grafana.
Manage API gateways, load balancers, and communication protocols such as REST, gRPC, and Protocol Buffers.
Troubleshoot and resolve production issues, ensuring high availability and minimal downtime.
Implement security best practices, perform static code analysis, and align with compliance standards.
Collaborate with cross-functional teams to ensure smooth and reliable product releases.

Key Skills

Automation: Expertise in infrastructure automation using CDK, CloudFormation, or Terraform.
CI/CD: Hands-on experience with GitHub Actions or Jenkins.
Monitoring: Strong understanding of OpenTelemetry, Prometheus, and Grafana.
API & Load Balancing: Knowledge of REST, gRPC, Protocol Buffers, API Gateway, and load balancing techniques.

Additional Skills

Strong knowledge of Linux OS fundamentals.
Understanding of security standards such as OWASP and static code analysis.
Familiarity with fintech security frameworks like PCI-DSS and SOC2 (preferred).
AWS Cloud Certification (preferred).

Nice to Have

Experience with AWS data services (DMS, Glue, Athena, Redshift).
Prior start-up or distributed team experience.
Exposure to microservices, Docker, and Kubernetes ecosystems.

Experience & Qualifications

Extensive hands-on experience managing AWS environments.
Proficiency in one or more programming languages — Python, Go, or Shell scripting.
Strong understanding of RDBMS and NoSQL databases (e.g., Postgres, MongoDB).
Proven experience with Docker, Kubernetes, and cloud-native tools.
Excellent troubleshooting, problem-solving, and communication skills.

Weekday AI (YC W21)

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