Manager, Software Engineering - 1497
GHX
| Company | GHX |
| Category | Engineering |
| Location | Hyderabad |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Manager |
| Salary | Not stated by the employer |
| Posted | 20 Feb 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
Role: Manager, Software Engineering Location: Hyderabad, India (Hybrid) Department: Product Development Reports to: Director of Engineering
About GHX: GHX (Global Healthcare Exchange) is a leading healthcare technology company on a mission to simplify the business of healthcare and improve patient outcomes. Founded in 2000, GHX has built the GHX Global Network — the world’s largest cloud-based supply chain community connecting healthcare providers, suppliers, distributors, and partners to automate key processes, reduce costs, and increase operational efficiency. Its solutions span electronic trading, procurement automation, inventory and contract management, business intelligence, and data synchronization, helping healthcare organizations improve productivity and focus more on patient care. Over the years, GHX has enabled significant cost savings for the industry and continues to innovate with intelligent automation and AI-driven capabilities. Website: https://www.ghx.com/ LinkedIn: https://www.linkedin.com/company/ghx/
About the Role
GHX is seeking a hands-on Engineering Manager with expertise in software engineering, release management, artificial intelligence and cross-functional collaboration. The work blends modern software practices with pragmatic AI to reduce manual exceptions, improve matching accuracy, and enhance the invoice processing end-to-end.
Responsibilities
Engineering Leadership
Provide technical and people leadership for an engineering team.
Manage, mentor, and grow a high-performing team of software engineers, fostering a culture of collaboration, innovation, and accountability.
Partner with other engineering and cross‑functional leads to align priorities and ensure cohesive execution.
Coordinate incident response for the team, including coverage and technical response to issue.
Hands‑on Technical Leader
Contribute to high‑impact coding when it adds meaningful value (foundational components, prototypes, critical paths).
Help decompose and modernize systems where valuable, encouraging reliable, observable, and maintainable designs.
Maintain a strong emphasis on unit and component testing as part of day‑to‑day engineering
Work with QA team members to shape testing approaches across the lifecycle, including automation and release readiness
Encourage shift‑left practices and CI‑integrated test suites for confidence and speed
AI Utilization in SDLC
Use AI during various stages of SDLC for code generation, code analysis, testing and review impact of changes
Implement agents/skills with the vetted AI tools to produce secure, maintainable, practical solutions
Collaborate with data and analytics partners to responsibly operationalize models where appropriate
Technical Execution
Conduct sprint ceremonies and ensure proper grooming of all epics/stories
Guide the planning, prioritization, and delivery with a focus on predictable outcomes
Establish robust monitoring, logging, and alerting systems to maintain system reliability and performance.
Identify and mitigate technical risks, ensuring alignment with business objectives.
Plan and execute the timely release process for deliverables with all stakeholders including necessary communication.
Champion the adoption and optimization of modern CI/CD pipelines to streamline development, testing, and deployment processes.
Collaborate with Security team to resolve any findings and conduct the annual compliance reviews
Qualifications
Education: Computer Science or related degree, or a combination of education and related experience.
Experience:
8+ years of prior software development experience with hands-on coding and management experience.
Deep understanding of modern CI/CD pipelines, including tools like Bamboo or GitHub Actions.
Proficiency with cloud platforms (e.g. AWS, Azure, etc) and container orchestration (e.g. Kuber
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