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Devops lead
2 weeks ago
Job Description:
DevOps Engineering_ Lead
Role: Senior DevOps Engineer – Harness / Cloud Automation
Experience Range:
8–12 Years
Must Have Skills:
- Kubernetes:
Strong working experience in core concepts (autoscaling, RBAC, pod placement) and advanced areas such as Karpenter and service mesh. - AWS Cloud:
Hands-on experience with
CloudWatch, EKS, ECS, DynamoDB
, and cloud infrastructure provisioning. - Infrastructure as Code (IaC):
Expertise in
Terraform
and
Terragrunt
, with ability to create and manage reusable modules. - Scripting:
Proficiency in
Shell, PowerShell, or Python
for automation tasks. - CI/CD:
Strong understanding and experience in
pipeline creation, deployment automation
, and integration using tools such as
Jenkins, Bamboo, Harness
, or
Azure DevOps
. - Containerization:
Skilled in
Docker
and
Kubernetes
setup, management, and troubleshooting. - DevOps Tools Integration:
Experience with
Sonarqube
,
Nexus/Artifactory
,
Maven/Ant
,
Git/Bitbucket
, and
ELK/Splunk
.
Good to Have Skills:
- Experience with
Harness platform
(pipelines, deployments, configuration, and security). - Knowledge of
Azure
or
GCP
DevOps tools and cloud environments. - Experience in
application migration
from on-premises to cloud. - Familiarity with
SecDevOps
and tools such as
Blackduck, Veracode, Checkmarx
. - Exposure to
Agile methodologies
and
Jira
project setup and management. - Knowledge of
C#/.NET
debugging,
ARM templates
, and
Desired State Configuration (DSC)
. - Understanding of
software security compliance
(GDPR/OWASP).
Job Description / Key Responsibilities:
- Act under the guidance of DevOps leadership,
leading multiple Agile teams
. - Design, install, and troubleshoot CI/CD pipelines
and software using modern DevOps tools. - Automate infrastructure provisioning
on cloud and on-premises environments. - Develop and maintain
automation scripts and playbooks
for deployment, configuration, and infrastructure setup. - Create and configure
tools and automation frameworks
for integration within the overall DevOps architecture. - Guide and mentor
DevOps Engineers
on technical and operational aspects. - Optimize
efficiency, cost, and quality
of DevOps processes and toolchains. - Ensure
security and compliance
are integrated throughout the CI/CD lifecycle. - Measure and improve
process efficiency
using metrics such as deployment frequency, change lead time, failed deployments, and MTTR. - Support and improve
monitoring, observability, and incident management
practices.
Measures of Outcomes:
- Quality and reliability of deliverables
- On-time delivery and adherence to specifications
- Error rate and completion rate across SDLC stages
- Number of reusable components developed
- SLA/KPI adherence for onboarding projects
- Stakeholder satisfaction and effective collaboratio