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:
As the Software Engineering Manager – Data Cloud, you are responsible for delivery execution, team performance, and operational excellence for a cloud-native engineering team. You will partner closely with Development Leads who drive technical design and architecture, ensuring solutions are delivered on time, at high quality, and at scale. This role requires strong understanding of cloud, data, and AI concepts, with primary focus on execution, team leadership, and delivery outcomes.
Key Responsibilities:
- Own end-to-end delivery of team commitments (scope, schedule, quality)
- Drive predictable execution through strong sprint planning, backlog management, and risk mitigation
- Track and improve delivery metrics (predictability, cycle time, defect rates, stability)
- Lead and manage engineering team; set expectations and ensure accountability
- Coach engineers on cloud, data, AI-aware practices, and software quality
- Ensure alignment with architecture defined by Enterprise Architecture and Development Leads
- Support adoption of AI-driven development practices (AI-DLC)
- Maintain working knowledge of AI systems, Bedrock, and MCP-based integrations
- Own production readiness, system stability, and incident response
- Ensure compliance with FDA, HIPAA, and internal quality standards
Technical & Domain Expectations:
- Strong understanding of cloud-native architectures (AWS)
- Experience with microservices, APIs, and distributed systems
- Familiarity with streaming systems (Kafka or equivalent)
- Working knowledge of AI platforms (e.g., AWS Bedrock) and agent-based patterns
- Understanding of data quality requirements for AI-driven systems
- Familiarity with enterprise integration platforms (e.g., MuleSoft, MCP patterns)
Qualifications:
- Bachelor's degree in Computer Science or related field
- 10+ years software engineering experience
- 5+ years managing engineering teams
- Experience delivering high-scale cloud applications
- Strong leadership and communication skills
- Experience working in global (US + India) delivery models
Leadership Profile:
- Execution-focused leader who drives predictable delivery
- Builds accountable, high-performing teams
- Partners effectively with technical leadership
- Balances speed, quality, and reliability
- Enables adoption of modern engineering and AI practices
Success Criteria:
- Consistent on-time, high-quality delivery
- Improved delivery metrics and system stability
- Strong partnership with Senior Staff Engineers
- Effective adoption of AI-enabled development practices.
