Senior Staff Software Engineer - Java & Cloud [T500-26841]

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 R&D:

The R&D organization at ANSR MedTech is being built to support the development, testing, and long-term sustainment of complex, regulated products used at global scale.

This team plays a critical role in engineering excellence, product quality, and operational reliability, working closely with global R&D leaders to deliver against well-defined technical standards, quality systems, and product outcomes.

Unlike a traditional offshore or support model, R&D in India is designed to take on meaningful ownership across the product lifecycle, particularly in areas where scale, focus, and execution discipline are essential.

What Makes This Opportunity Stand Out:

• Work on real, production grade products that require high engineering rigor, reliability, and regulatory discipline.
• Be part of a team that spans embedded software, mobile applications, systems engineering, test automation, and lifecycle engineering.
• Contribute to end-to-end R&D workflows—from development and verification through sustaining engineering and triage.
• Help build and scale a new R&D capability from the ground up, shaping labs, automation, ways of working, and quality culture.
• Partner directly with senior global R&D leaders and engineers, gaining exposure to how products are built and operated at enterprise scale.

How the R&D Team Operates:

• Teams are based in India and embedded in day-to-day delivery, not isolated support functions.
• Technical direction, quality standards, and product outcomes are globally aligned, with strong local execution and accountability.
• The organization is built under a Build–Operate–Transfer (BOT) model with ANSR, with responsibilities expanding as the site matures.
• Success is measured by engineering quality, predictable delivery, adherence to quality systems, reduced defects over time, and strong collaboration with global R&D teams.

Role Overview:

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:

• Lead design and delivery of high-scale cloud-native platforms (AWS, Kafka, APIs, data systems)
• Contribute hands-on to architecture, critical code paths, and technical problem solving
• Drive adoption of AI-Driven Development Lifecycle (AI-DLC) including AI-assisted coding, testing, and documentation
• Build production-grade AI systems with strong focus on reliability, observability, and cost control
• Build and integrate AI/LLM-powered capabilities and orchestration using AWS Bedrock
• Design and implement agent-based systems leveraging MuleSoft MCP for enterprise-scale integrations
• Ensure high availability, performance, resilience, and cost optimization
• Define and enforce modern quality strategy, including automation and AI-assisted testing
• Lead performance, scalability, and observability practices
• Build and mentor offshore engineering teams and drive execution discipline

Data Streaming & Operational Data Engineering:

• Design and operate event-driven pipelines for telemetry, APIs, and real-time systems
• I…