Manager - Test Engineering SDET

ANSR is hiring for one of its clients.

Job Title: Manager - Test Engineering SDET

About ANSR MedTech:

Who We Are:

ANSR MedTech Capability Center is a new global innovation hub being established in India for a Fortune 100 Fastest-Growing Company in the MedTech sector. Built in partnership with ANSR, the center draws on ANSR's proven experience in establishing and scaling high-performance Global Capability Centers (GCCs) for leading global enterprises.

ANSR MedTech center brings together world-class engineering, product, and technology talent to build next-generation healthcare platforms and solutions that power global operations.

Our Vision:

To build a next-generation MedTech capability center that powers global healthcare innovation. We envision:

At its core, the ANSR MedTech Capability Center is about enabling innovation that touches lives at scale.

About CFSW:

Joining the Customer Facing Software (CFSW) Center of Excellence at ANSR MedTech means being part of a team that is core to delivering global, customer-facing technology platforms used at scale.

You'll work on high-impact systems—Salesforce, Cloud, Data Products, and Testing—that power real customer, agent, and care experiences worldwide. This is not a support or back-office environment; teams are responsible for end-to-end execution, quality, and outcomes.

• High-impact innovation hubs shaping global product and technology roadmaps
• Centers that go beyond support functions to drive core engineering and platform development
• Sustainable, scalable ecosystems that nurture world-class MedTech talent
• Capability centers that directly influence patient outcomes worldwide.

What makes this role stand out:

• Work on enterprise-grade platforms that support millions of users globally
• Partner closely with senior global technology and product leaders on priorities, standards, and outcomes
• Help build a Center of Excellence from the ground up, shaping ways of working, engineering quality, and delivery excellence
• Grow as part of a Build–Operate–Transfer (BOT)journey, with increasing scope and maturity over time
• Success is measured by delivery quality, stable releases, platform value, continuous improvement, and strong collaboration with global stakeholders.

About the Role:

Lead a high-performing engineering team building cloud-native, AI-powered data platforms supporting connected medical devices, analytics, and digital experiences. This is a hands-on player/coach role, expected to actively contribute to system design and development (30–40%) while leading engineering execution and mentoring the team.

Key Responsibilities:

• Own end-to-end test delivery (planning, automation, execution, and reporting)
• Drive automation-first strategy across APIs, microservices, and streaming systems
• Define and track quality metrics (defects, test coverage, escape rate, reliability)
• Lead performance, load, and scalability testing for distributed systems
• Ensure high-quality validation of event-driven pipelines and real-time systems
• Drive predictable test execution aligned to sprints and releases
• Partner with development teams to shift quality left and enforce testing standards
• Lead defect triage, root cause analysis, and continuous improvement
• Ensure compliance with FDA, HIPAA, and internal quality standards.

Technical & Domain Expectations:

AI-Driven Testing & Modern QA:

• Drive adoption of AI-assisted testing (test case generation, intelligent regression, analysis)
• Ensure validation of AI-powered features including AWS Bedrock-based solutions
• Establish approaches for testing AI outputs (accuracy, consistency, reliability)
• Support testing of agent workflows and MCP-based integrations (e.g., MuleSoft)
• Leverage AI tools (Copilot, etc.) to improve test productivity and coverage.

Data & Streaming Quality:

• Validate streaming pipelines (Kafka or equivalent) and event-driven architectures
• Ensure data correctness, completeness, and consistency
• Test real-time ingestion, transformation, and processing workflows
• Partner with data engineering teams on data contracts and validation readiness.

Team Leadership & Execution:

• Lead and manage a team of SDET engineers
• Set expectations and hold team accountable for quality outcomes
• Coach on automation frameworks, performance testing, and QA best practices
• Build a culture of quality ownership and continuous improvement
• Collaborate across global teams (US + India).

Technical Expectations:

• Strong understanding of cloud-native architectures (AWS)
• Experience testing APIs, microservices, and distributed systems
• Familiarity with streaming systems (Kafka or equivalent)
• Experience with automation frameworks (REST-assured, Selenium, or similar)
• Performance and scalability testing experience
• Working knowledge of AI platforms (e.g., AWS Bedrock) and agent systems
• Understanding of data quality for AI and analytics systems.

Minimum Requirements:

• Bachelor's degree in computer science or related field
• 10+ years testing experience
• 5+ years leading test teams
• Experience building automation frameworks
• Strong leadership and communication skills.

Preferred Skills:

• High automation coverage and reduced manual testing
• Improved defect detection and reduced production issues
• Scalable performance testing capabilities
• Strong validation of AI-powered and data systems
• Predictable and high-quality releases.