Job Description
Job Title: Software Engineer-DevOps
Department: Product Development
Reports To: Reports to the Manager
Job Location: Bangalore
Position Summary
We are seeking a Software Engineer – DevOps with hands‑on experience in software development, DevOps practices, and automation across multiple technology stacks. The role requires strong exposure to end‑to‑end software development lifecycle and multi‑tier architectures.
The engineer will use GitHub Copilot—including MCP (Model Context Protocol) integrations—to streamline specification‑driven development, generate high‑quality tests and documentation, and improve delivery speed and consistency. Strong communication, ownership, commitment, and collaboration skills are essential. Experience in the healthcare domain is an added advantage.
Clinisys' AI Philosophy:
Building an AI‑first organisation is central to Clinisys’ purpose and the impact we deliver. As a global provider of intelligent diagnostic informatics solutions, we build AI‑enabled, cloud‑based platforms to enhance diagnostic workflows across healthcare, life sciences, and public health. By applying intelligent technology thoughtfully and responsibly, we help laboratories and testing environments operate more effectively, generate meaningful insights at scale, and ultimately support healthier and safer communities. Operating across more than 30 countries, Clinisys expects all colleagues—regardless of role or function—to work confidently with AI‑enabled tools, apply digital and analytical thinking, and continuously adapt as technologies evolve, must drive an AI first sense of purpose and urgency.
Job Responsibilities:
- Build, maintain, and enhance continuous integration and continuous deployment (CI/CD) pipelines aimed at continuous improvement.
- Perform root cause analysis for production issues and drive resolution.
- Implement and manage development, testing, automation tools, and Azure infrastructure.
- Promote and implement automated processes wherever feasible.
- Develop PowerShell scripts to solve complex deployment challenges.
- Define and improve DevOps processes for development, testing, release, update, and support.
- Monitor lifecycle processes for adherence and implement improvements to reduce waste.
- Coordinate with development, operations, and cross‑functional teams.
- Select, configure, and manage appropriate CI/CD tools.
- Design troubleshooting and maintenance procedures for system stability.
- Collaborate with team members to solve complex infrastructure, security, and development challenges.
- Conduct incremental testing on code, processes, and deployments to streamline execution and minimize errors.
- Leverage GitHub Copilot to accelerate development by generating code scaffolds, unit tests, documentation, and pipeline snippets, while validating AI‑assisted outputs for accuracy, security, and compliance before integration.
- Designs and maintains cloud infrastructure for AI‑enabled platforms on Azure, with a strong focus on building and refining AI agents using Azure AI Foundry.
- Partners with engineering teams to improve instruction quality, automate PR code reviews, and embed AI‑first practices across delivery pipelines.
Skillset Requirements
- Deep expertise in Infrastructure as Code (IaC) automation.
- Strong hands‑on experience building Azure DevOps (ADO) pipelines and deployment automation.
- Proficiency in scripting languages: YAML, PowerShell, Unix shell scripting.
- Good working knowledge of Azure Cloud services.
- Ability to troubleshoot deployment issues and collaborate with Microsoft support teams.
- Experience using GitHub Copilot to convert user stories and acceptance criteria into scaffolded code, tests, and documentation.
- Preferably .NET programming and RDBMS experience.
- 3–5 years of hands‑on experience with Bicep and ARM templates for IaC.
- Experience building enterprise‑level reusable automation frameworks.
- Proficiency in CI/CD using YAML in Azure DevOps.
- Experience with Azure DevOps/GitHub/TFS source control.
- Familiarity with GitHub Copilot MCP or ability to quickly learn grounded‑context workflows.
- Azure AI Foundry, Azure OpenAI, or LLM‑based agent frameworks.
- Prompt engineering and instruction file optimization.
- AI‑assisted PR/code review tools and practices.
Educational Requirements
UG: B. Tech / B.E. - Any Specialization, Computers, Electronics/Telecommunication
PG:MS/M.Sc. (Science) - Any Specialization, Computers, MTech -Any Specialization, Computers, Electronics/Telecommunication, MCA -Computers, Other.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
