Lead DevOps Engineer

Onit

. Own delivery on AWS and, where applicable, Google Cloud and Azure, including Kubernetes, Terraform, Ansible, container images, and Jenkins and GitLab pipelines .

Posted 11/11/2026full-timePune • IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive experience in managing cloud infrastructure across AWS, Google Cloud, and Azure, with a strong focus on Kubernetes, Terraform, and Ansible for automation and security. Proven ability to lead production incidents, optimize observability, and implement disaster recovery strategies.

Highest-signal resume keywords

AWS Cloud ManagementKubernetes Platform LeadershipTerraform StandardizationAnsible AutomationObservability and Security Practices

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

KubernetesTerraformAnsibleDockerJenkinsGitLab CIPostgreSQLRedisCloud SecurityDisaster Recovery

Soft Skills

LeadershipProblem-SolvingCollaborationCommunicationIncident Management

Tools & Technologies

AWS EKSAWS RDS/AuroraAWS S3GrafanaOpenTelemetryFluent BitIAMCloudWatchHelmSOPS

Industry Keywords

DevOpsSite Reliability EngineeringCloud Platform EngineeringInfrastructure PatternsProduction Infrastructure

Tech Stack

Tools & technologies

AnsibleAWSAzureCloudDockerGrafanaJenkinsKubernetesNode.jsPostgresRedisTerraform

About the role

Key responsibilities & impact

Own delivery on AWS and, where applicable, Google Cloud and Azure, including Kubernetes, Terraform, Ansible, container images, and Jenkins and GitLab pipelines
Shape production clusters covering compute, autoscaling, worker processes, load balancing, relational databases, cache, and object and file storage
Automate virtual machine and host configuration with Ansible
Secure configuration and secrets across environments and cloud accounts
Lead releases and production incidents, diagnosing deployment, capacity, and dependency failures
Bring new services, including AI platform components, onto consistent release, security, and observability standards
Own observability and cloud cost visibility through metrics, logs, traces, and spend reporting
Maintain platform security baselines covering identity, access, policies, runtime controls, image and dependency hygiene, and patching
Advance disaster recovery and environment consistency
Establish infrastructure patterns and review risky shared-infrastructure changes

Requirements

What you’ll need

8+ years of experience in DevOps, site reliability, or cloud platform engineering, with several years leading production infrastructure
Led Kubernetes platforms on AWS across more than one account, including owned production changes through incidents
Operated workloads on Google Cloud, Azure, or both
Standardized Terraform, Helm, and Ansible, including environment layout and secrets handling
Experience running deploy paths for many services, including image build, configuration, secrets, and load-balancer registration
Ability to diagnose unhealthy releases, including scheduling, health checks, worker backlog, and readiness failures
Experience with IAM, network boundaries, secrets, and cloud key management or equivalent
Experience running databases, cache, and shared storage under Kubernetes, including backup and tested restore
Ability to set infrastructure patterns, review risky changes, and pair with engineers new to infrastructure
AWS knowledge including EKS, ECR, VPC, ALB/NLB, RDS/Aurora, ElastiCache, S3, EFS, SQS/SNS, IAM/IRSA, KMS, and CloudWatch
Kubernetes, Helm, autoscaling, pod disruption budgets, resource sizing, and production troubleshooting
Terraform, Ansible, Docker, Jenkins, GitLab CI, and Git
SOPS or equivalent and cloud key management; no plaintext credentials in configuration
PostgreSQL, Redis or Valkey, object storage, and shared file storage in production, including backup and restore
Observability using metrics, logs, traces, Grafana, OpenTelemetry, Fluent Bit, CloudWatch, or equivalent
Security practices including IAM, network controls, policy-as-code, image and dependency scanning, and node and host patching
Networking knowledge including load balancers, ingress, and API gateway patterns
Ability to work in a hybrid arrangement in Pune, Maharashtra

Benefits

Comp & perks

Employee and immediate family health coverage
Flexible paid time off
10 company paid holidays annually
Paid leave for birth parents, non-birth parents, and caregivers
Surrogacy and adoption reimbursement
100% employer-paid life and disability insurance
Voluntary benefits including hospital indemnity, critical illness, and accident coverage
Tax-advantaged accounts: Flexi, NPS
One paid volunteer day each year