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

ANSR (Bengaluru, KA, India) Follow 1 day ago

Contract

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
Implement lightweight ETL to normalize and enrich data
Ensure data quality, validation, completeness, and traceability
Partner with central data engineering team on data contracts and schema alignment
Enable data readiness for AI and analytics use cases

Qualifications:

10+ years software engineering experience
5+ years leading engineering teams
Strong experience with cloud-native distributed systems (AWS required)
Expertise in streaming systems (Kafka / MSK / Confluent)
Strong programming skills (Java / Springboot or equivalent)
Experience with CI/CD, observability, and performance optimization

AI & Modern Engineering:

Experience building AI-powered applications using AWS Bedrock or similar platforms
Understanding of prompt design, RAG, and context management
Experience with agent-based systems and enterprise integration patterns (MuleSoft preferred)
Hands-on use of AI-assisted development tools (e.g., GitHub Copilot, Cursor)
Familiarity with MCP-based architectures for exposing enterprise data to AI

Data & AI Foundation: