ANSR
Website:
ansrinc.com
Company:
https://www.linkedin.com/company/ansr-global
Seniority: Mid-Senior level
Industries: Medical Equipment Manufacturing
Job details:
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.
Job Title: Manager, Data Cloud Test (SDET)
Department: CFSW
Function: CFSW
Sub-Function: Cloud
Location: Bengaluru, India
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.
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
Click on Apply to know more.
