Senior Software Development Engineer In Test (SDET) [T500-28617]

ANSR is hiring for one of its clients.

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:

• 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.
• 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.

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.

Job Summary:

As a Senior Software Development Engineer in Test (Senior SDET) – Data Cloud, you will provide technical leadership for quality engineering, test automation, and validation activities across cloud-native services supporting medical devices, mobile applications, partner integrations, telemetry processing, and analytics platforms. This is a highly hands-on role focused on automation, test architecture, and release quality.

Key Responsibilities:

• Lead development and execution of automated functional, integration, and end-to-end testing:
• Design and enhance automation frameworks supporting cloud-native services
• Drive automation-first quality practices across APIs, microservices, and distributed systems
• Partner with development teams to identify, reproduce, and resolve defects early
• Participate in architecture, design, and release reviews from a quality perspective
• Lead defect triage, root cause analysis, and release validation activities
• Provide technical guidance and mentorship to SDET engineers
• Ensure compliance with FDA, HIPAA, and internal quality standards

AI-Driven Testing & Modern Quality Engineering:

• Drive adoption of AI-Driven Development Lifecycle (AI-DLC) quality practices
• Support testing of AWS Bedrock-powered capabilities and AI-enabled workflows
• Validate Agentic AI workflows for correctness, reliability, consistency, observability, and scalability
• Support testing of MCP-based integrations and enterprise data-access patterns, including MuleSoft MCP
• Leverage AI-assisted tools for test generation, regression selection, defect analysis, and reporting
• Help define approaches for validating AI outputs including accuracy, reliability, repeatability, and response quality

Data & Streaming Quality:

• Lead validation of streaming architectures and event-driven systems
• Design testing approaches for Kafka-based systems, telemetry processing, and API-driven integrations
• Validate data accuracy, completeness, consistency, and traceability
• Partner with development and data engineering teams to ensure systems are ready for AI and analytics use cases

Automation, Performance & Reliability:

• Drive expansion of automated test coverage a…