DL
Lead Devops Engineer
Diverse Lynx India
- 🇮🇳 India
- On-site
- Staff / Principal
- 13 hours ago
- Devops
- CI/CD
- IaC
- Kubernetes
- AWS
- Terraform
- CloudFormation
- Helm
- Jenkins
- GitHub Actions
- Liquibase
- Flyway
- Jira
- Confluence
- Artifactory
- Splunk
- AI
- Docker
- GitOps
13 hours ago
Mandate Skill- Lead Devops
Experience – 7 +Yrs
Location Pune Only
Budget: 1.7LPA/ Month
Interview process: L1 and Client Interview .
Job Description:
Cloud Platform Modernization | CI/CD | IaC | Kubernetes | Database DevOps ( Mandate)
| We are seeking a hands-on Lead DevOps Engineer to modernize the software delivery ecosystem supporting critical post-trade processing platforms. The role will lead infrastructure automation, cloud platform engineering, CI/CD modernization, database DevOps, observability, engineering tooling, and developer experience initiatives. |
You will establish scalable, repeatable, and secure delivery practices across the application lifecycle, from infrastructure provisioning and environment configuration through application deployment, database change, monitoring, and operational support. You will provide technical leadership while remaining directly involved in design, implementation, migration, troubleshooting, and continuous improvement.
Key Responsibilities
Design, build, and support AWS-based development and QA environments, with all development infrastructure provisioned and managed through Infrastructure as Code using Terraform, CloudFormation, or equivalent technologies.
Define reusable IaC modules, self-service provisioning patterns, configuration standards, and automated environment lifecycle controls.
Design and support Kubernetes platforms; develop, version, and govern reusable Helm charts for application configuration, packaging, deployment, upgrade, and rollback.
Lead the migration of legacy Jenkins workflows to GitHub Actions and build Harness-based deployment pipelines with automated testing, security controls, quality gates, release governance, and rollback capabilities.
Establish database DevOps practices using Liquibase, Flyway, or similar technologies; integrate versioned schema migrations, validation, and rollback controls into CI/CD pipelines.
Create and automate client QA environments, including legacy blueprints, representative test data, scheduled maintenance-release testing, and repeatable configuration.
Lead Jira and Confluence migrations and modernization, including content and space migration, permissions, integrations, governance, and engineering knowledge-management standards.
Migrate application artifacts and container images into enterprise Artifactory; establish package, dependency, versioning, and retention standards, including Conan where applicable.
Implement centralized logging, monitoring, alerting, and operational dashboards using Splunk and related technologies.
Enable AI-assisted engineering workflows, including automated defect routing, story and task support, and pipeline productivity improvements across repositories.
Experience and Capabilities
The successful candidate will bring 7+ years of experience in DevOps, Platform Engineering, Site Reliability Engineering, Cloud Engineering, or a comparable role, along with strong hands-on expertise across AWS, Kubernetes, Docker or containerization, Helm, and Infrastructure as Code. The role requires practical experience with Terraform and/or CloudFormation; enterprise CI/CD using GitHub Actions, Jenkins, and deployment automation; database migrations using Liquibase, Flyway, or similar technologies; and artifact repositories, container registries, package management, and observability platforms such as Artifactory and Splunk.
Experience with Harness, GitOps practices, Jira and Confluence migrations, Conan, AI-assisted software engineering, and financial services, capital markets, or post-trade processing platforms is highly valuable. Strong scripting, troubleshooting, communication, stakeholder management, and technical leadership skills are essential.
What Success Looks Like
Fully automated, repeatable development and QA infrastructure managed through code.
Standardized Kubernetes deployments through governed Helm charts and reusable platform patterns.
Modern CI/CD pipelines with integrated application, database, testing, security, and rollback controls.
Successful Jira, Confluence, artifact repository, and delivery-tool migrations.
Improved observability, operational readiness, engineering productivity, and release reliability.
Lead Devops Engineer · Diverse Lynx India