Senior Manager, Software Engineering

Overview

Senior Manager, Software Engineering on the Defined Benefits (DB) Technology team in Workplace Investing Technology. Accountable for new client implementations, corporate action changes for existing clients, and ongoing maintenance of the Defined Benefits Calculation Engine.

What you'll do

• Drive engineering execution, elevate technical craftsmanship, and develop high-performing engineering teams that deliver accurate, timely, and compliant pension outcomes.
• Align engineering talent, skills, and team composition with DB platform strategy and priorities.
• Own engineering execution of new client implementations and corporate actions (mergers, spin-offs, freezes, amendments), delivering accurate, well-tested, auditable calculation outcomes on schedule.
• Mentor and empower engineers and managers to deepen expertise in Java, Spring Boot, distributed systems, cloud, and the DB calculation domain.
• Drive an agile, learning-oriented organization that embraces continuous improvement while respecting the rigor, traceability, and controls of a regulated pension environment.
• Champion engineering excellence: high standards for reliability, performance, resilience, security, calculation accuracy, and craftsmanship across DB platform teams.
• Build trusted relationships with architecture, SRE, product leaders, and pension benefit consultants to align on platform strategy, technical direction, and execution.
• Lead adoption of modern engineering approaches, including cloud-native architectures, DevOps, event-driven and distributed systems patterns, and AI/ML where applicable to DB calculations.
• Translate complex plan provisions, benefit formulas, and actuarial/regulatory requirements into accurate, testable calculation-engine logic and sound engineering controls.

What you'll need

• Strong Java/Spring Boot engineering abilities and experience guiding teams in modern service architecture, ideally applied to calculation-intensive or rules-driven financial systems.
• Knowledge of cloud infrastructure, Kubernetes orchestration, and containerization.
• Strong operational engineering skills: observability, reliability engineering, incident response, and performance tuning, with sensitivity to the accuracy, auditability, and controls required for pension calculations.
• Ability to lead complex client implementations and corporate action changes end to end, balancing delivery timelines, regulatory compliance, data quality, and calculation correctness.
• Ability to translate complex plan provisions, benefit formulas, and actuarial/regulatory requirements (e.g., IRS/ERISA-driven rules) into accurate, testable calculation-engine logic and sound engineering controls.
• Systems thinking and deep problem-solving across interconnected ecosystems, backed by rigorous test strategies (regression suites, parallel/shadow runs, reconciliation before go-live).
• Excellent communication and partnership skills with architecture, SRE, product teams, and pension benefit consultants, with a continuous learning mindset across cloud, AI, and platform modernization.
• Deep domain knowledge of Defined Benefits, specifically the Calculation Engine, DBCS, and Workbook components, including benefit formulas, eligibility/vesting rules, plan provisions, and pension payment options.
• Hands-on understanding of new client implementation lifecycles and corporate actions (plan onboarding, amendments, mergers, acquisitions, spin-offs, freezes, and de-risking events) and how they translate into calculation-engine changes.
• Deep engineering expertise building and scaling platform capabilities, shared services, and foundational enterprise technologies, with advanced proficiency in Java, Spring Boot, and modern integration frameworks.
• Demonstrated leadership experience guiding software engineers and engineering managers, providing mentorship, technical coaching, and career development.
• 10+ years of hands-on software engineering experience with strong command of agile delivery, iterative development practices, and robust CI/CD pipelines.
• Extensive experience designing and operating cloud-native platforms, with strong knowledge of AWS or Azure services and container orchestration (e.g., Kubernetes).
• Experience with AI-based coding productivity tools such as GitHub Copilot and LLM-enabled development workflows.
• Bachelor's degree in computer science, Software Engineering, or related technical field.

Nice to have

• Not specified in the source.

Details

• Location: Bangalore – EGL.
• Shift timings: 11:00 am – 8:00 pm.
• Category: Information Technology.