Engineering Manager [12+yrs]

About the Role
We’re looking for an Engineering Manager who combines strong people leadership with hands-on engineering expertise. You’ll lead high-performing teams embedded with clients, drive predictable delivery, maintain high engineering standards, and translate business priorities into reliable technical outcomes.
Key Responsibilities
1. Technical Leadership
Own architecture decisions, challenge assumptions, and mentor senior engineers.
Establish standards for code quality, testing, security, observability, and AI engineering.
Oversee cloud architecture, environments, and release pipelines across AWS, Azure, or GCP.
2. Delivery Management
Own delivery plans, scope, milestones, dependencies, and risks across engagements.
Drive effective sprint planning, realistic commitments, and predictable releases.
Identify blockers early, resolve delivery risks, and communicate escalations clearly.
3. AI Engineering Delivery
Manage AI-specific risks, including model latency, output variability, data dependencies, and evaluation.
Define realistic AI feature scope with appropriate validation and fallback strategies.
Evaluate emerging AI technologies and guide tooling and resourcing decisions.
4. Client and Stakeholder Management
Serve as the primary engineering contact for client product managers, directors, and technical leads.
Communicate technical trade-offs, timelines, and risks in business terms.
Balance client expectations with team capacity, delivery commitments, and quality standards.
5. Team Leadership
Lead one-to-ones, performance feedback, mentoring, and career development.
Build a culture of accountability, code quality, and continuous improvement.
Protect engineering focus while managing changing priorities and scope creep.
What We’re Looking For
12+ years of software engineering experience, including 2+ years leading engineering teams in product or consulting environments.
Strong hands-on engineering skills, including coding, system design, architecture reviews, and code reviews.
Experience leading teams using React, TypeScript, Node.js or Python, and relational or document databases.
Proven ownership of end-to-end software delivery, from backlog planning through production release.
Working knowledge of LLM APIs, RAG, embeddings, vector databases, agent frameworks, and LLM gateways.
Strong understanding of cloud platforms (AWS, Azure, or GCP), containers, CI/CD, and production operations.
Excellent client communication, stakeholder management, risk assessment, and scope negotiation skills.
A practical leadership style that combines clear feedback, sound technical judgement, and delivery accountability.
Ideal Candidate: A hands-on engineering leader who can build and mentor teams, guide modern full-stack and AI solutions, and deliver consistently in client-facing environments.

Work arrangement
No