DevOps Engineer - SSE/TL

Title: DevOps - Technical Lead

About Us: Paytm is India’s leading digital payments and financial services company, which is focused on driving consumers and merchants to its platform by offering them a variety of payment use cases. To merchants Paytm offers acquiring devices like Sound box, EDC, QR and Payment Gateway where payment aggregation is done through PPI and also other banks’ financial instruments. To further enhance merchants’ business, Paytm offers merchants commerce services through advertising and Paytm Mini app store. Operating on this platform leverage, the company then offers credit services such as merchant loans, personal loans and BNPL, sourced by its financial

About the team: Paytm Travel has revolutionized the travel industry - intending to empower millions of travelers who choose us as their preferred travel partner. We are no. 2 in the travel segment, in India, within a span of a few years, which proves our capability and potential to become no. 1 shortly. Being one of the largest travel platforms in the country, we aim to not only ensure seamless, instant booking, but also a delightful journey. We strive to enrich the customer experience by making every transaction transparent, honest and hassle-free. To stay ahead of the curve, we are working aggressively towards our ambition to make travel affordable for all. With this customer centricity at our core, we strive to make Paytm Travel synonymous with trustworthy travel partners. Devops Lead, Bengaluru : Why Paytm As part of the DevOps team at Paytm, you will: ● Architect and operate a resilient, secure, and highly scalable cloud-native platform supporting massive traffic. ● Drive automation across deployment, monitoring, incident management, and operational workflows for maximum efficiency and reliability. ● Lead initiatives to scale infrastructure for rapidly increasing demand, solving complex problems that come with one of India’s highest traffic platforms. ● Develop a strong analytical mindset within the team to enable data-driven decisions and operational excellence. ● Champion a Quality-First culture and ensure best practices across the DevOps lifecycle. ● Collaborate closely with engineering teams to seamlessly bring new features and services into production. Job Description: ● The DevOps Engineer takes ownership of the organization’s toughest technical challenges and drives technical excellence across teams. You will work closely with a senior engineering manager to execute the organization’s vision for a highly reliable, secure, and scalable platform. ● A DevOps Engineer is someone who cares deeply about the technical foundation of operations, ensures that every system runs smoothly, and proactively addresses issues before they impact customers. The ideal candidate has deep expertise across cloud, infrastructure, and automation, can identify and bridge gaps between development and operations, and consistently drives improvements in stability, performance, and efficiency. Our Tech Stack: ● Kubernetes, Linux, Helm charts, Prometheus, Grafana, Terraform, Ansible, GitOps, ArgoCD, Argo Rollouts, Jenkins, Java, Groovy, Golang, Python, VPC, EKS, ECR, EC2, Load Balancers, S3, Route53, Elasticsearch, Akamai, Postgres, MySQL, Cassandra, MongoDB, Kafka, Aerospike, Redis. Technical Expectations: ● 5–7 years of experience in DevOps, SRE, Platform, or Cloud Engineering roles (lead experience preferred). ● Educational qualification: BE / B.Tech / MSc in Computer Science or MCA. ● Strong hands-on experience with Kubernetes, Helm charts, containers, and cloud- native deployments (minimum 3+ years). ● Deep experience with automation using Terraform, Ansible, and GitOps tooling. ● Strong understanding of systems, networks, OS internals, and troubleshooting at scale. ● Ability to write scripts/tools in Bash, Python, Groovy, or Golang to solve operational problems and automate workflows. ● Hands-on experience with GenAI tools/frameworks leveraged for operational intelligence — such as automated RCA generation, anomaly detection pipelines, observability insights, LLM-powered runbooks/playbooks, or infra-as-code review. ● Experience running Prometheus, Alertmanager, and Thanos at high scale, managing millions of metrics per second. ● Exposure to multiple tools from our tech stack is desirable, but the ability to learn quickly, adapt, and drive improvements is valued most. 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.