Engineering Manager
Summary
Fully on-site Engineering Manager in Bengaluru leading and mentoring a software team while staying hands-on: owning full-stack architecture (Node.js, Python, Next.js, MongoDB), AWS infrastructure, CI/CD, observability, and FinOps including AI/LLM cost optimization, plus agile roadmap delivery and performance management.
Job Overview:
We are looking for a highly accomplished Engineering Manager to build, mentor, and lead a high-performing software engineering team. In this fully on-site leadership role, you will serve as the strategic bridge between technical squads and product groups, translating technical constraints, architectural trade-offs, and systemic risks into clear business outcomes. This position requires a unique blend of hands-on technical expertise across full-stack applications, deep cloud infrastructure ownership, and active people management.
Key Responsibilities:
- Technical Leadership & Architecture: Author comprehensive technical designs, maintain end-to-end platform architecture matrices, and engineer highly resilient, zero-downtime application environments.
- Multi-Level Observability: Architect and deploy multi-tiered monitoring systems spanning the execution layer, databases, underlying cloud infrastructure, and third-party API integrations.
- Roadmap Alignment & Agile Delivery: Coordinate directly with product owners to evaluate implementation feasibility, map complex integration flows, and govern delivery schedules using Agile frameworks.
- DevOps & FinOps Governance: Establish robust CI/CD pipelines, define cloud scaling requirements, and architect a corporate FinOps strategy with a clear focus on tracking and optimizing AI infrastructure costs.
- Talent & People Management: Build, manage, and scale engineering cohorts by defining precise professional growth plans, executing performance appraisals, and delivering technical mentorship.
Required Skills & Qualifications:
- Extensive experience leading technical engineering teams while remaining actively hands-on with system design, architectural blueprints, and high-performance coding workflows.
- Deep full-stack proficiency managing end-to-end platform expansions using tools like Node.js, Python, Next.js, MongoDB, RESTful microservices, and system integrations.
- Strong practical experience deploying environments on the AWS Cloud ecosystem alongside structured infrastructure budget management frameworks.
- Conversant with the modern LLM landscape, focusing heavily on production AI engineeringspecifically integrating intelligent automated workflows into real-world business software.
- Comprehensive understanding of data privacy rules, information security protocols, and secure application development guidelines.