Engineering Manager

Overview

Lead and grow a high-performing engineering team building and operating Bidgely's cloud-native applications and services, bridging technical execution and organizational leadership as a player-coach. Reports to the Head of Data Engineering.

What you'll do

• Lead, manage, and grow a full stack engineering team focused on technical quality, ownership, and collaboration.
• Conduct regular 1:1s, give feedback, and create growth plans for team members.
• Recruit, interview, and onboard new engineering talent.
• Shield the team from distractions while aligning with business goals.
• Provide technical guidance across backend (Java, Python), frontend, APIs, and data layers.
• Drive architectural decisions for scalable, maintainable cloud-based systems.
• Enforce engineering standards: code quality, testing, documentation, peer review.
• Lead design reviews, ensuring solutions are performant, secure, and production-ready.
• Modernize legacy codebases and lead re-platforming to containerized AWS deployments.
• Mentor both junior and senior engineers, bridging skill gaps and guiding problem-solving.
• Own engineering project delivery from scoping to post-launch monitoring.
• Lead sprint planning, backlog grooming, and milestone tracking.
• Identify and resolve risks, dependencies, and blockers proactively.
• Maintain clear communication with leadership and stakeholders on delivery status.
• Guide development and operation of full stack applications on cloud platforms (AWS, Azure, GCP).
• Ensure best practices in microservices, containerization, CI/CD, and infrastructure-as-code.
• Drive observability: structured logging, tracing, and alerting.
• Champion AI/LLM adoption in workflows: code generation, testing automation, productivity tools.
• Collaborate with Data Science and Product teams for LLM-powered product features.
• Serve as main engineering liaison with Product, Data Science, Design, QA, and Infrastructure teams.
• Own Jira and Confluence for sprint management and documentation.

What you'll need

• Bachelor's in Computer Science, Software Engineering, or related field.
• Minimum 8 years software engineering experience, with 2–4 as Engineering Manager or Tech Lead Manager.
• Proficient as a full stack engineer: Java, Spring Boot, Spark, React JS, and Python.
• Experience managing and growing engineering teams (5–15 engineers).
• Track record of delivering complex multi-team software projects.
• Cloud-native application experience (AWS, Azure, GCP).
• Strong project management, Agile/Scrum, and stakeholder management skills.
• Hands-on proficiency with Jira and Confluence for sprint ceremonies, backlog, and documentation standards.
• Strong backend proficiency: Java (Spring Boot, microservices), Python (FastAPI, Flask, or equivalent).
• Solid frontend and API design skills (React, Angular, REST, GraphQL).
• Familiar with relational/NoSQL databases, data modeling, and optimization.
• Understanding of software security, authentication/authorization, and OWASP best practices.
• Command of SOLID principles, design patterns (GoF), distributed architecture, message brokers (Kafka, RabbitMQ), and orchestration.
• Proven ability to read/decode legacy codebases (JAR/WAR, monolithic) and lead migration to containerized microservices (Docker, Kubernetes).
• Deep understanding of event-driven and distributed systems, messaging, queuing, consistency, and fault tolerance.
• Highly motivated self-starter; fills process gaps proactively.

Nice to have

• Master's degree.
• Additional language experience.
• Hands-on LLM API integration, agentic workflows, or AI/ML in product engineering.
• Experience in regulated industries or enterprise SaaS.
• Exposure to AI/ML and LLM frameworks (LangChain, LlamaIndex, OpenAI API); agentic AI architectures.
• Familiarity with observability tools (Datadog, Prometheus, ELK Stack).
• Experience with legacy Java app packaging, deployment, and migration to containers.

Details

• Location: India.