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Salary
≈ $6.5k – $15k per year (Estimated)
Location
In office (Hyderabad)
Seniority
Senior · 3+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 28, 2026. First seen by Alion on Jun 23, 2026. NPCI scores B on the Alion truth index.

Overview
Company
Impact
Profile match
NPCI operates the retail payment infrastructure that underpins Indian digital transactions. It built the unified payments interface, immediate payment service and a domestic card network. The organisation is owned collectively by Indian banks.
The opportunity NPCI is looking for a highly skilled DevOps Engineer specializing in automation, Kubernetes, and system reliability engineering, with a strong focus on AI-driven testing and resilience engineering. In this role, you will architect and execute automated reliability testing frameworks, simulate real-world failure scenarios, and ensure high availability, fault tolerance, and scalability of mission-critical payment systems operating at national scale. This is a high-impact role where you'll work at the intersection of: DevOps + SRE + Chaos Engineering + AI-driven testing Ensuring platforms are failure-ready, not just failure-resistant Job details Job Title: DevOps Engineer - Reliability & Automation Division: Quality Control & Monitoring Systems Experience: 3-7 Years

Employment Type: Full-time Location: Hyderabad

Education: Bachelor’s degree in Computer Science / Engineering or related field Preferred

Certifications: CKA / CKAD / Cloud DevOps (AWS/Azure/GCP) Work Mode: 5 Days Work From Office (WFO)

Key

Responsibilities DevOps & Platform Engineering

  • Design, implement, and manage CI/CD pipelines for application delivery and infrastructure provisioning
  • Containerize applications using Docker and orchestrate via Kubernetes
  • Deploy, manage, and optimize production-grade Kubernetes clusters Reliability & Resilience Engineering
  • Design and implement automated resilience and reliability testing frameworks
  • Develop and execute failure simulation strategies (node failures, latency, network partitioning, etc.)
  • Build and run fault injection mechanisms for controlled chaos testing
  • Identify system weaknesses and improve fault tolerance & recovery strategies Monitoring, Observability & Incident Readiness
  • Implement monitoring, logging, and alerting solutions (Prometheus, Grafana, ELK/EFK, Open Telemetry)
  • Define and track SLIs, SLOs, and error budgets
  • Enhance observability for distributed systems Infrastructure, Networking & Security
  • Manage Linux systems and troubleshoot performance and reliability issues
  • Configure networking components including: Load balancing DNS Firewalls & VPN
  • Ensure security, compliance, and best practices across infrastructure Collaboration & Productivity
  • Work closely with SRE, DevOps, QA, and development teams
  • Improve developer productivity through automation and self-service platforms
  • Contribute to platform reliability culture and engineering excellence

Requirements Required

Technical Skills Core DevOps Stack Strong hands-on experience with: Docker & Kubernetes (Administration + Automation) CI/CD tools: Jenkins, GitLab CI, GitHub Actions, ArgoCD, Flux Experience in Infrastructure as Code (IaC): Terraform, Ansible, Helm, Pulumi Systems & Networking Expertise Strong Linux administration skills (Ubuntu, CentOS, RHEL) Deep understanding of networking: TCP/IP, DNS, routing Load balancing, firewalls, VPN Observability & Monitoring Experience with: Prometheus Grafana ELK/EFK stack Open Telemetry Programming & Automation Proficiency in: Bash / Shell Python / Go Strong scripting for automation and testing frameworks Systems Thinking Understanding of: Distributed systems behavior Failure modes & recovery patterns Storage systems (Ceph, physical storage) Network stack (Overlay networking) Good to Have Skills and

Experience Required Advanced Reliability Engineering

  • Exposure to Chaos Engineering frameworks (Chaos Mesh, Litmus, Gremlin)
  • Understanding of SRE practices and production reliability AI-Driven Testing
  • Experience with AI-powered testing or automation tools
  • Familiarity with intelligent fault detection & predictive failure analysis Distributed Systems Expertise Understanding of:
  • System behavior under large-scale failures
  • High-throughput, low-latency architectures Security & Advanced Platform Knowledge of:
  • Kubernetes security (RBAC, Network Policies)
  • GitOps methodologies

• Advanced networking (CNI plugins, eBPF)

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