DevOps Engineer

• The LLM gateway. The single front door to every model provider we use
• Reliability, for real. SLOs, on-call, incident response, and the postmortems for the runtime
• Cost control. Per-team and per-model attribution
• LLM observability. Traces, spans, prompt/response capture
• Evals and experimentation infra
• Caching and guardrails

DevOps Engineer, AI Runtime Services

• Design, build, and operate production-grade Kubernetes platforms in a regulated and non-regulated environments.
• Improve system reliability through automation, thoughtful design, and continuous iteration
• Define and drive SLOs, SLIs, and error budgets to guide reliability decisions
• Build and evolve CI/CD pipelines that are secure, scalable, and easy to use
• Implement robust observability (metrics, logs, traces) to make systems understandable and actionable
• Reduce operational toil by automating repetitive processes and improving workflows
• Partner with security and compliance teams to meet Compliance requirements without sacrificing developer velocity
• Support audit processes, including documentation, controls implementation, and audit readiness
• Participate in on-call rotations supporting customer requests and paging alerts
• Participate in incident response, blameless postmortems, and continuous improvement efforts
• Help shape a platform that engineers enjoy using

Senior Site Reliability Engineer, Technical Leader – Kubernetes Platform

• Provide technical skillset to the SRE team by planning and designing SRE toolsets and automation
• Participate in architecture and security reviews for SRE Projects
• Evangelize cloud technologies and CI/CD solutions for wider engineering teams
• Focus on developing tools and processes for secure development practice
• Collaborate with multiple feature development teams to identify needs for building and deploying their applications
• Deploy and configure daily iterative builds of applications and containers into Tomcat server and Kubernetes clusters for multiple feature development teams
• Deploy and configure MongoDB test databases with test data
• Design and implement automation for deployment and configuration tasks
• Identify cloud infrastructure needs for deployment environments and manage costs
• Troubleshoot failed builds and deployments
• Facilitate, manage and communicate information related to environments - their current state, deployed versions and availability to developers, QA engineers and team members
• Own and execute Github, Artifactory and Jenkins-based software configuration and release activities in central Git repositories and Jenkins builds, branching, tagging, building, releasing
• Support services and applications 24/7 by participating in an on-call rotation

Software Engineer – SRE

• Support GitOps-based application delivery with Argo CD (including Dex/OIDC SSO): help manage Argo CD applications, Helm charts, and Kubernetes manifests across development, staging, and production clusters.
• Assist in maintaining GitLab CI pipelines that build container images and keep upstream OSS image mirrors up to date in Docker Hub and GCP Artifact Registry (version upgrades, CVE patching).
• Help operate GKE clusters day to day: namespaces, Deployments, StatefulSets, DaemonSets, CronJobs, ConfigMaps and Secrets, PersistentVolumes/PVCs, and node pools.
• Support the ingress and API gateway layer: ingress-nginx controllers, the Kubernetes Gateway API with Envoy-based ingress (Envoy Gateway) including Gateway/HTTPRoute configurations, and Kong (hybrid CP/DP mode), with TLS certificate lifecycle managed via cert-manager.
• Assist with secrets management using HashiCorp Vault and the Vault Secrets Operator (syncing Vault secrets into Kubernetes).
• Help configure workload autoscaling with KEDA ScaledObjects and Kubernetes-native mechanisms.
• Monitor cluster and application health using the Prometheus Operator stack (Prometheus, Alertmanager, Grafana, node and blackbox exporters) and centralized logging with Loki and Grafana Alloy; assist in troubleshooting pod, networking, DNS, and storage issues.
• Support stateful data stores running in our clusters — PostgreSQL, MongoDB, Redis, Elasticsearch, MinIO, and PocketBase — including their Prometheus exporters and alerting.
• Contribute to platform security operations: RBAC, network policies, ClamAV-based file scanning, and container image vulnerability management.
• Contribute to infrastructure automation using Bash and Python scripting.
• Participate in backup, disaster recovery, and incident response procedures for cluster workloads.
• Document cluster configurations, deployment runbooks, and operational procedures, supporting audit and compliance requirements (SOC 2, GDPR, ISO 27001).

DevOps Engineer – Kubernetes

• Deploy servers with hardening and firewall policies between servers
• Support the deployment of applications developed by Azeus in the cloud (AWS, Azure, KSA cloud, etc.)
• Carry out the deployment of applications developed by Azeus on client premises. You will be prepared to handle server and application software hardening, firewall policy setup, etc.
• Identify and analyze system integration problems
• Resolve server issues by identifying the root cause and taking immediate remedial action
• Formulate and implement corrective actions in case a problem re-occurs
• Formulate and implement preventive actions to prevent issues from happening again
• Identify recurring tasks and recommend tools to automate those tasks
• Be on-call for support cases

Support and Deployment Engineer

• Write, configure, and deploy code that improves service reliability for existing or new systems; set standard for others with respect to code quality.
• Provide helpful and actionable feedback and review for code or production changes.
• Drive repair/optimization of complex systems with consideration towards a wide range of contributing factors.
• Lead debugging, troubleshooting, and analysis of service architecture and design.
• Participate in on-call rotation.
• Write documentation: design, system analysis, runbooks, playbooks. Provide design feedback and uplevel design skills of others.
• Implement and manage SRE monitoring application backends using Golang, Postgres, and OpenTelemetry. Develop tooling using Terraform and other IaC tools to ensure visibility and proactive issue detection across our platforms.
• Work within GCP infrastructure, optimizing performance, and cost, and scaling resources to meet demand.
• Collaborate with development teams to enhance system reliability and performance, applying a platform engineering mindset to system administration tasks.
• Develop and maintain automated solutions for operational aspects such as on-call monitoring, performance tuning, and disaster recovery.
• Troubleshoot and resolve issues in our dev, test, and production environments.
• Participate in postmortem analysis and create preventative measures for future incidents.
• Implement and maintain security best practices across our infrastructure, ensuring compliance with industry standards and internal policies. Participate in security audits and vulnerability assessments.
• Participate in capacity planning and forecasting efforts to ensure our systems can handle future growth and demand. Analyze trends and make recommendations for resource allocation.
• Identify and address performance bottlenecks through code profiling, system analysis, and configuration tuning. Implement and monitor performance metrics to proactively identify and resolve issues.
• Develop, maintain, and test disaster recovery plans and procedures to ensure business continuity in the event of a major outage or disaster. Participate in regular disaster recovery exercises.
• Contribute to internal knowledge bases and documentation.

• Defining SLA/SLO/SLI for a product/service
• Engineering in resilient design and implementation practices
• Developing Observability Solutions to track, report, and measure SLA adherence
• Help Optimize Cost of IT Infra & Operations - FinOps
• Critical Situation management SOP / Runbook automation

Senior Resilience and Reliability Engineer - Tech S and T

• Design, implement, and manage CI/CD pipelines using GCP DevOps tools and services.
• Configure and maintain build agents, release pipelines, and automation scripts for deployment processes.
• Utilize Infrastructure as Code (IaC) principles to automate the provisioning and management of GCP resources using tools like ARM templates or Terraform
• Manage and optimize source code repositories using version control systems (e.g., Git) within GCP DevOps.
• Implement branching strategies and code merging processes to ensure efficient collaboration among development teams.

Senior GCP DevOps – Platform Engineer

• Manage large-scale, distributed systems, focusing on minimizing downtime and improving system resilience.
• Maintain customer trust and confidence by ensuring stability and functionality of services.
• Drive continuous enhancement of processes, tools, and methodologies to support the evolving needs of the service.
• Lead the development of code and automation scripts to optimize the scalability, reliability, and performance of services.
• Lead and participate in high-priority customer escalations, adopting a customer-first mindset.
• Coordinate and execute complex incident response procedures, ensuring timely resolution and thorough postmortems.
• Collaborate with cross-functional teams to enhance system robustness.
• Demonstrate a proactive mindset to help preempt escalations and ensure reliable operations.
• Document resolutions, root causes, and best practices to enrich the knowledge base and promote self-service solutions.
• Mentor and coach team members, fostering a culture of continuous learning, knowledge sharing and collaboration.
• Participate in on-call rotation and provide leadership during critical incidents.
• Collaborate on strategic AI and automation projects designed to increase the efficiency of fleet operations and troubleshooting, ultimately delivering a better product experience for customers.

Customer Site Reliability Engineer – OpenShift Managed Cloud Services, Kubernetes/AWS/Azure, Linux

• Troubleshoot and resolve production and non-production issues within defined SLAs
• Assess incident severity and respond appropriately to minimize customer impact
• Analyze system logs and debug issues to restore services quickly
• Perform root cause analysis (RCA) and recommend preventive measures
• Communicate incident status and updates to stakeholders effectively
• Deploy, monitor, and support application releases across environments
• Identify recurring issues, analyze trends, and propose long-term solutions
• Automate manual processes to improve operational efficiency
• Participate in a 24x7 on-call rotation to ensure continuous support
• Work effectively in a fast-paced, high-pressure environment with flexible schedules

Cloud Operations Engineer

• Design, develop, and maintain robust CI/CD pipelines for application build, test, and deployment processes.
• Automate infrastructure provisioning and configuration management using Terraform.
• Manage and maintain GitOps-based deployments using Argo CD.
• Work with AWS cloud services for hosting, deployment, and infrastructure operations.
• Build, manage, and optimize container images using Docker and AWS ECR.
• Deploy, monitor, and troubleshoot applications running on Kubernetes clusters.
• Implement logging, alerting, and monitoring solutions using AWS CloudWatch and other monitoring tools.
• Collaborate with development, QA, and operations teams to streamline release cycles.
• Ensure security, scalability, and reliability of CI/CD and cloud environments.
• Maintain source code repositories and branching strategies using Git.

• Design, engineer, and oversee highly scalable CI/CD pipelines for automated testing, digital-twin dry-running, and zero-downtime deployment of configurations across massive physical and virtual network fabrics.
• Champion the "Network-as-Code" paradigm, establishing enterprise-wide GitOps workflows and enforcing source control (Git) as the absolute single source of truth for all network state, policy, and infrastructure design.
• Drive the strategic vision for network automation, designing complex, reusable code frameworks and Playbooks to permanently eliminate manual configuration and operational "toil" at a global scale.
• Design and optimize massive-scale software-defined networks (SDN) and container networking interfaces (CNIs) supporting ultra-high-throughput, multi-region cloud and bare-metal environments.
• Serve as the ultimate technical authority (SME / Tier 4) for complex network, routing, and overlay issues, rapidly deciphering and resolving the most difficult challenges across physical underlays and software-defined layers.
• Design and implement next-generation telemetry, monitoring, and alerting-as-code platforms, leveraging advanced heuristics for proactive auto-remediation of performance, security, and capacity issues.
• Partner at a strategic level with Enterprise Designers, SRE leaders, and Platform teams to build and implement highly resilient, secure, and multi-tenant-isolated network infrastructure.
• Establish coding standards and write/review sophisticated Infrastructure-as-Code (IaC) using Ansible, Terraform, Helm, Python, and Bash.
• Lead the engineering, deployment, and optimization of modern overlay and container networking solutions, particularly VXLAN, OVN (Open Virtual Network), and Project Calico.
• Design the automation of complex security and traffic management policies across enterprise-grade firewalls (Palo Alto/Fortinet) and load balancers (F5 BIG-IP/Cloudflare/Octavia).
• Embed "Security-as-Code" directly into CI/CD pipelines, engineering automated validation gates for security groups, ACLs, and firewall rules prior to production pushes.
• Engineer robust, automated network validation suites to continuously verify network health, state, and complex routing tables (BGP, OSPF) pre- and post-deployment.
• Drive the adoption of code-based infrastructure definitions and dynamic, living technical documentation (e.g., NetBox, Git Markdown), setting the standard for documentation across the engineering organization.

Senior Network DevOps Engineer

• Design, implement, and maintain CI/CD pipelines using Harness and enterprise deployment platforms
• Build and manage Infrastructure as Code (IaC) solutions using Terraform Enterprise (TFE) and AWS Federated Cloud services
• Automate application deployment, infrastructure provisioning, configuration management, and operational tasks
• Support cloud-native application hosting on AWS, including ECS, RDS, Kafka, Route53, Secrets Manager, IAM, CloudWatch, and related services
• Implement and maintain platform observability solutions including CloudWatch, Splunk, monitoring dashboards, alerting, and operational metrics
• Troubleshoot production incidents, perform root cause analysis, and drive preventive improvements
• Collaborate with QA teams to integrate automated testing into CI/CD pipelines and support shift-left quality initiatives
• Manage environment provisioning, deployment automation, release orchestration, and disaster recovery activities
• Partner with security teams to ensure compliance with enterprise standards, vulnerability remediation, and audit requirements
• Support application onboarding, cloud migration, and modernization initiatives

Senior DevOps Engineer

• Designing and developing cloud-based applications to optimize data solutions for clients
• Collaborating with product and project managers to drive efficient solutions within known constraints
• Planning and executing cloud automation strategies to enhance application performance
• Troubleshooting and testing cloud services to validate seamless deployment and functionality
• Transforming raw data into actionable insights to support informed decision-making and business growth
• Leveraging advanced technologies and techniques to develop robust data solutions
• Building meaningful client connections and anticipating the needs of teams and clients
• Navigating complex situations to grow personal brand and deepen technical skills
• Upholding professional and technical standards in alignment with firm guidelines and code of conduct
• Design, build, and maintain cloud infrastructure across AWS and Azure
• Develop and manage CI/CD pipelines to enable seamless, automated deployments for data and AI applications
• Implement Infrastructure as Code (IaC) to provision and manage cloud resources consistently and repeatably
• Monitor, troubleshoot, and optimize cloud environments for performance, cost, and security
• Collaborate with Data Engineers, Data Scientists, and AI/ML teams to ensure infrastructure supports their workflows

Senior Cloud DevOps Engineer

• Deploy, automate, and operate large-scale Software Defined Storage architectures across private and public cloud regions within ITIL methodology.
• Deploy and support enterprise storage platforms (Pure Storage, HPE, NetApp) and SDS solutions (Ceph, Longhorn).
• Integrate self-service storage workflows for Kubernetes CSI and OpenStack consumers (VM and Baremetal).
• Implement and manage backup solutions (preferably Rubrik).
• Build and maintain Infrastructure-as-Code for storage platforms using Ansible, Terraform, Helm and Git, with Python/Bash automation.
• Implement CI/CD pipelines for infrastructure updates, patching, upgrades, testing, and rollback.
• Implement and improve monitoring, alerting, and observability for storage systems (capacity, latency, IOPS, recovery health) using GitOps and tools such as Prometheus, Loki, and Grafana.
• Perform deep troubleshooting across storage, Kubernetes, hypervisors, networking, and Linux systems.
• Develop and maintain technical documentation, architecture diagrams, operational procedures, and runbooks.
• Participate in on-call rotations, incident response, and root cause analysis.
• Collaborate globally on change management, documentation, and operational best practices.

Senior DevOps Engineer – Storage Platforms

• Operate and support enterprise compute platforms across hardware, OS, virtualization, and container orchestration layers
• Develop and improve automation for provisioning, patching, upgrades, validation, and routine platform work using tools such as Ansible, Terraform, Helm, Git, Bash, Python, or similar technologies
• Deploy and Support Ubuntu-based systems, hypervisors, Kubernetes clusters, and related platform services in day-to-day operations
• Implement and maintain PXE-based provisioning environments leveraging Redfish APIs for large-scale server deployments
• Operate and support virtualization and private cloud platforms, including KVM on Ubuntu, OpenStack environments and Harvester HCI
• Monitor system performance, capacity, and availability; proactively address reliability risks
• Troubleshoot complex cross-stack issues spanning hardware, OS, virtualization, OpenStack, and Kubernetes
• Manage to SLAs, KPIs and error budgets
• Participate in on-call escalation support for complex platform-related issues
• Collaborate globally on change management, documentation, and operational best practices.
• Develop and maintain runbooks, operational procedures, and technical documentation

Senior DevOps Engineer – Compute Platforms

• In this position, you will be working with our Clinical Research team.
• You will be working with the Clinical Research team in the transition and takeover of the platform’s infrastructure and pipelines from the outgoing vendor, including establishing control and securing the environment.
• The cloud infrastructure and reliability of a live, multi-client clinical platform.
• The automation that provisions, configures, and deploys client instances repeatably.
• The CI/CD and release pipelines across backend, web, and mobile.
• The platform’s secrets and credential lifecycle, together with its security and compliance automation.
• The observability and delivery metrics that indicate the health of both the platform and the delivery process.
• You will work closely with the Technical Lead (who owns technical direction), the development team, and QA.
• This role functions as an enabler of the entire team’s delivery, rather than as a standalone operations function.

• Design, build, and maintain CI/CD pipelines for all HackerRank environments from development to production.
• Automate infrastructure using Terraform, Docker, and Kubernetes (EKS), ensuring scalability and reproducibility.
• Lead and evangelise DevOps best practices across engineering teams, CI/CD hygiene, observability, and cost-efficient architectures.
• Implement and maintain monitoring, alerting, and incident response systems using tools like OpsGenie, New Relic, and ELK.
• Optimise the performance and utilisation of key systems such as Redis, RDS, Redshift, ElasticSearch, and Kafka.
• Partner with security and platform teams to ensure compliance, resilience, and threat protection across cloud environments.
• Contribute to cloud cost optimisation initiatives and infrastructure efficiency projects.

DevOps Engineer II

• Design and implement multi-cloud architectures across GCP, AWS, and Azure
• Develop reusable infrastructure modules using Terraform / Terragrunt
• Design and manage CI/CD pipelines using GitHub Actions / GitLab CI / Jenkins / Azure DevOps
• Manage Kubernetes platforms and ensure high availability of containerized applications

• Manage and maintain Copado platform across multiple product teams
• Design and optimize CI/CD pipelines
• Automate manual tasks such as promotions and security scans
• Provide L2/L3 support and troubleshooting
• Onboard new teams and define best practices
• Cross-train internal team members and collaborate across teams

DevOps Engineer jobs in India

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DevOps Engineer, AI Runtime Services

Senior Site Reliability Engineer, Technical Leader – Kubernetes Platform

Software Engineer – SRE

DevOps Engineer – Kubernetes

Support and Deployment Engineer

SRE

Senior Resilience and Reliability Engineer - Tech S and T

Senior GCP DevOps – Platform Engineer

Customer Site Reliability Engineer – OpenShift Managed Cloud Services, Kubernetes/AWS/Azure, Linux

Cloud Operations Engineer

DevOps Engineer

Senior Network DevOps Engineer

Senior DevOps Engineer

Senior Cloud DevOps Engineer

Senior DevOps Engineer – Storage Platforms

Senior DevOps Engineer – Compute Platforms

DevOps Engineer

DevOps Engineer II

Senior DevOps Engineer

DevOps Lead