DevOps
At a glance
Mid-level DevOps & Release role at Fa Etvl Saasfaprod1. India.
Pay not stated DevOps & Release salary
devopsroles summary, based on the employer's posting.
What you'll do
- Build AWS development and QA environments from code, with reusable modules and automated setup and teardown controls
- Create shared Helm charts that standardize how Kubernetes applications are configured, shipped, upgraded, and rolled back
- Move Jenkins workflows to GitHub Actions and build Harness delivery pipelines with testing, security checks, release controls, and rollback
- Add Liquibase or Flyway schema changes, validation, and recovery steps to CI/CD pipelines
- Migrate Jira, Confluence, and artifacts while improving observability with Splunk and enabling AI-supported engineering workflows
What you bring
- At least seven years in DevOps, platform, reliability, cloud engineering, or a comparable discipline
- Hands-on capability with AWS, Kubernetes, Docker or other containerization, Helm, and infrastructure defined as code
- Practical experience with Terraform or CloudFormation, enterprise CI/CD, and database migration tools such as Liquibase or Flyway
- Background with artifact repositories, container registries, package management, and observability tools such as Artifactory and Splunk
- Strong scripting, troubleshooting, communication, stakeholder coordination, and technical leadership skills
Who this fits
This suits a mid-level DevOps professional who can lead platform work hands-on across infrastructure, delivery pipelines, migrations, and observability. The role is located in India.
From the employer
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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.
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Define reusable IaC modules, self-service provisioning patterns, configuration standards, and automated environment lifecycle controls.
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Design and support Kubernetes platforms; develop, version, and govern reusable Helm charts for application configuration, packaging, deployment, upgrade, and rollback.
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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.
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Establish database DevOps practices using Liquibase, Flyway, or similar technologies; integrate versioned schema migrations, validation, and rollback controls into CI/CD pipelines.
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Create and automate client QA environments, including legacy blueprints, representative test data, scheduled maintenance-release testing, and repeatable configuration.
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Lead Jira and Confluence migrations and modernization, including content and space migration, permissions, integrations, governance, and engineering knowledge-management standards.
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Migrate application artifacts and container images into enterprise Artifactory; establish package, dependency, versioning, and retention standards, including Conan where applicable.
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Implement centralized logging, monitoring, alerting, and operational dashboards using Splunk and related technologies.
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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.
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Standardized Kubernetes deployments through governed Helm charts and reusable platform patterns.
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Modern CI/CD pipelines with integrated application, database, testing, security, and rollback controls.
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Successful Jira, Confluence, artifact repository, and delivery-tool migrations.
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Improved observability, operational readiness, engineering productivity, and release reliability.