Senior DevOps Engineer

JD - Senior DevOps Engineer

About Us:

Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm's mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology and innovation.

About the Role:

As a Senior DevOps Engineer, you will play a key role in building and operating reliable, scalable, and efficient infrastructure and deployment systems. You will work on improving platform capabilities, enhancing observability, and driving automation across the DevOps charter. This role requires strong hands-on expertise in cloud infrastructure, Kubernetes, deployment strategies, and observability, along with the ability to take ownership of production systems and continuously improve them using automation and AI-assisted workflows.

What You Will Do:

Design and maintain high-performance, resilient DevOps platforms and infrastructure components

Execute advanced deployment strategies including canary and progressive delivery (Argo Rollouts, Spinnaker, etc.)

Take ownership of AWS infrastructure components, ensuring reliability, scalability, and security

Build and enhance observability systems (metrics, logging, tracing) to improve system visibility and debugging

Engineer and automate workflows using modern tooling and emerging AI/agentic solutions

Strengthen system reliability through effective monitoring, alerting, and incident response practices

Collaborate with engineering and security teams to implement DevOps best practices and standards

Contribute to improving deployment efficiency, system performance, and cloud cost optimization initiatives

Support and mentor team members through knowledge sharing and technical guidance

AI & Automation Mindset:

Comfortable leveraging AI tools to improve productivity and reduce manual effort

Ability to identify opportunities for automation and intelligent workflows

Interest in applying AI to analysis, debugging, and operational efficiency

Required Skills:

3–6 years of experience (at least 3 years in DevOps)

Strong hands-on experience with Kubernetes and other containerized environments

Experience with Terraform (or equivalent IaC tools)

Hands-on experience with CI/CD tools (Jenkins, GitLab CI/CD, etc.)

Experience with GitOps workflows (ArgoCD preferred)

Solid understanding of deployment strategies (canary, blue-green, rolling)

Strong experience with observability tools (Prometheus, Grafana, Loki, or equivalent)

Experience managing production-grade systems (Kafka, Redis, etc.)

Strong debugging and problem-solving skills in distributed systems

Proficiency in scripting (Python preferred)

Proven ability to independently own and drive improvements in at least one critical DevOps domain (CI/CD, observability, cost optimization, or infrastructure reliability).

What Makes You a Strong Fit:

Strong sense of ownership for production systems

Ability to think in terms of systems, trade-offs, and scalability

Bias for automation over manual processes

Strong collaboration and communication skills

Proactive problem-solving and continuous improvement mindset

Why Join Us

A collaborative, output-driven environment that fosters innovation.

Opportunities to work on large-scale, high-impact projects.

A culture that values technical excellence, automation, and efficiency.

Respect that is earned from peers and leadership based on contributions and impact.

Compensation:

If you are the right fit, we believe in creating wealth for you with enviable 500 mn+ registered users, 25 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants – and we are committed to it. India's largest digital lending story is brewing here.

It's your opportunity to be a part of the story!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.