Staff Software Engineer

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.

Job Title: Staff Software Engineer

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 :

• 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.

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:

• Strong understanding of data pipelines, ETL, and streaming architectures
• Experience ensuring data quality and reliability
• Understanding that AI performance depends on high-quality, well-structured data.

Minimum Requirements:

• 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

Preferred Skills:

• Builds high-performing teams while remaining technically hands-on
• Leads by example through architecture, coding, and problem-solving
• Drives balance between innovation, speed, and reliability
• Operates effectively in a global delivery model (US + India)
• Leverages AI to improve engineering productivity