Release Engineer
India Hyderabad (Galaxy)
Zelis
Discover the connected platform that's bridging gaps and aligning interests of healthcare payers, providers, and healthcare consumers.Job Title: Release Engineer
Job Summary:
Key Responsibilities:
Release Management: Handle the release process for all changes related to data pipelines, data platforms, and ML workflows. Collaborate with stakeholders, enshure adherance to defined processes, and coordinate deployment efforts across various time zones.
Cross-Geo Collaboration: Collaborate closely with teams across multiple geographical regions to coordinate the release of updates, ensuring consistent communication, and maintaining alignment on deployment strategies and schedules.
CI/CD Pipeline Implementation: Build and maintain CI/CD pipelines to automate the deployment of data platform components, ETL processes, and machine learning models. Implement version control and automated testing to ensure smooth and reliable releases.
Collaboration: Work with Data Engineers, ML Engineers, DevOps, and IT teams to align on deployment strategies. Ensure that updates are seamlessly integrated into the data platform without disrupting the production environment.
Deployment Automation: Develop and maintain tools and scripts to automate the release of data-related code, infrastructure, and configuration changes. Leverage Infrastructure as Code (IaC) practices using tools like Terraform and Ansible.
Incident and Risk Management: Collaborate with incident management teams to troubleshoot release failures, rollback deployments when necessary, and conduct root-cause analysis for incidents related to new releases.
Environment Management: Manage multiple environments (e.g., dev, test, staging, production), ensuring consistency across them. Implement tools to streamline environment creation and resource management.
Documentation and Runbooks: Create and maintain documentation, including release notes, deployment procedures, and troubleshooting guides, to ensure repeatability and clarity in the release process.
Monitoring and Post-Release Support: Monitor the health of deployed releases, and proactively identify performance or functionality issues in production environments. Provide Level 2 (L2) and Level 3 (L3) support in collaboration with the Data Operations team.
Qualifications:
Education: Bachelor's or Master’s degree in Computer Science, Software Engineering, or a related field.
Experience:
Proven experience in release management, DevOps, or software engineering roles.
Strong experience with CI/CD tools (Jenkins, GitLab CI, Azure DevOps or similar) and version control systems (Git).
Familiarity with cloud platforms like AWS or Azure and data platforms such as Snowflake.
Hands-on experience with scripting languages (Python, Shell) for automating deployment and release processes.
Skills:
Solid understanding of data engineering concepts, including data ingestion, ETL pipelines, and data storage systems.
Knowledge of containerization (Docker, Kubernetes) and Infrastructure as Code (Terraform, Ansible) tools.
Strong troubleshooting and problem-solving abilities in production environments.
Cross-Geo Coordination:
Demonstrated experience in collaborating with teams across multiple regions and time zones, ensuring smooth communication and coordination in a distributed environment.
Soft Skills:
Strong communication skills, with a track record of cross-functional collaboration.
Detail-oriented and able to manage complex release schedules in a fast-paced environment.
Zelis is modernizing the healthcare financial experience by providing a connected platform that bridges the gaps and aligns interests across payers, providers, and healthcare consumers. This platform serves more than 750 payers, including the top 5 national health plans, BCBS insurers, regional health plans, TPAs and self-insured employers, and millions of healthcare providers and consumers. Zelis sees across the system to identify, optimize, and solve problems holistically with technology built by healthcare experts – driving real, measurable results for clients.
Commitment to Diversity, Equity, Inclusion, and Belonging
At Zelis, we champion diversity, equity, inclusion, and belonging in all aspects of our operations. We embrace the power of diversity and create an environment where people can bring their authentic and best selves to work. We know that a sense of belonging is key not only to your success at Zelis, but also to your ability to bring your best each day.
Equal Employment Opportunity
Zelis is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
We encourage members of traditionally underrepresented communities to apply, even if you do not believe you 100% fit the qualifications of the position, including women, LGBTQIA people, people of color, and people with disabilities.
Accessibility Support
We are dedicated to ensuring our application process is accessible to all candidates. If you are a qualified individual with a disability or a disabled veteran and require a reasonable accommodation with any part of the application and/or interview process, please email TalentAcquisition@zelis.com.
SCAM ALERT: There is an active nationwide employment scam which is now using Zelis to garner personal information or financial scams. This site is secure, and any applications made here are with our legitimate partner. If you’re contacted by a Zelis Recruiter, please ensure whomever is contacting you truly represents Zelis Healthcare. We will never asked for the exchange of any money or credit card details during the recruitment process. Please be aware of any suspicious email activity from people who could be pretending to be recruiters or senior professionals at Zelis.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Ansible AWS Azure CI/CD Computer Science DataOps Data pipelines DevOps Docker Engineering ETL Git GitLab Jenkins Kubernetes Machine Learning ML models Pipelines Python Snowflake Terraform Testing
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