Engineering Manager

- Role Overview

- Lead and grow a high-performing engineering team building and operating Bidgely's cloud-native applications and services.

- Bridge technical execution and organizational leadership, ensuring scalable, reliable, and impactful product delivery.

- Requires strong technical expertise in backend development (Java, Python, Agentic AI) with frontend familiarity, plus leadership skills to inspire and manage the team.

- Serve as a "player-coach," stepping in to code, unblock deployments, decode legacy systems, and mentor engineers as needed.

- Proactively identify team needs and actions, rather than waiting for instruction.

- Report to the Head of Data Engineering.

- Responsibilities include leading and mentoring engineers across backend, frontend, GenAI, MLOps, and Data platform layers.

- Own end-to-end delivery of engineering initiatives for Bidgely's cloud application stack.

- Drive technical strategy, architecture, and engineering best practices.

- Manage project delivery, sprint planning, roadmap execution, and stakeholder communication.

- Champion adoption of AI, LLM, and Agentic AI within products and engineering workflows.

- Collaborate with Product, Data Science, Infrastructure, and QA to deliver high-quality solutions.

- Foster a culture of ownership, continuous improvement, and psychological safety.

- Drive migration from legacy code (JAR/WAR) to containerized, cloud-native microservices.

- Manage workflows using Jira and Confluence for sprint hygiene and documentation.

- Combine deep technical engagement with people leadership.

Key Responsibilities

- Engineering Leadership & People Management

- 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.

- Foster a culture of curiosity, accountability, psychological safety, and learning.

- Recruit, interview, and onboard new engineering talent.

- Shield the team from distractions while aligning with business goals.

- Recognize technical achievements and enable engineers’ best work.

- Full Stack Technical Leadership

- 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.

- Stay up to date with evolving full stack tech and evaluate new tools for the stack.

- Address technical debt strategically.

- Modernize legacy codebases and lead re-platforming to containerized AWS deployments.

- Enforce SOLID principles, design patterns, and best practices.

- Conduct code reviews and provide senior-level support as required.

- Mentor both junior and senior engineers, bridging skill gaps and guiding problem-solving.

- Project & Delivery Management

- 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.

- Improve delivery velocity through process optimization, automation, and tooling enhancements.

- Cloud-Native Application Development

- 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.