Engineering Manger - Dev Platform

About the role

Our Platform Engineering team builds and operates the core backend systems that power CoCounsel's AI agent platform — the infrastructure that lets legal AI agents run reliably at scale. We own the services that sit between product-facing chat/agent experiences and the AI runtime layer, the CI/CD and deployment infrastructure that ships them safely, and the internal developer tooling that other engineering teams build on. We work closely with product, applied-AI, and platform teams to ship AI-driven capabilities faster and more reliably across the business.

As an Engineering Manager, you will lead a team of platform engineers, owning both their technical output and their growth — staying close enough to the architecture and code to make sound calls, while driving the team's roadmap and priorities in partnership with engineering leadership.

Responsibilities

• Own people-management responsibilities for a team of platform engineers — hiring, performance management, career development, and workload/priority balancing — while remaining technically engaged in architecture and code-level decisions.
• Set and communicate team-level technical strategy and roadmap in partnership with engineering leadership, translating business priorities into an execution plan.
• Guide the design and delivery of backend and platform services that power AI agent workflows — request/event ingestion, agent orchestration, document and file handling — ensuring reliability and delivery speed for product teams building on the platform.
• Steer the evolution of the CI/CD and progressive-delivery infrastructure that lets both customer-facing product systems and internal developer tooling ship safely and continuously — including release-decoupling work that separates code deployment from customer-facing exposure.
• Ensure the team owns and evolves the cloud infrastructure the platform runs on — provisioning, capacity planning, and environment configuration — using Infrastructure-as-Code practices.
• Champion sound backend architecture with a focus on scalability, reliability, and maintainability across a microservices/event-driven system, influencing long-term platform direction.
• Drive cross-functional technical initiatives with product, applied-AI, and infrastructure teams, aligning priorities and de-risking complex, multi-system projects from design through production.
• Raise the bar on engineering practices — code quality, automated testing, observability, CI/CD, and operational excellence — across the platform stack.
• Champion observability across the platform — metrics, logging, and tracing — ensuring your team and downstream teams have the visibility needed to operate complex systems with confidence.
• Ensure strong operational posture for the team's services — monitoring, incident response, and root-cause analysis for production systems running on managed cloud AI runtimes (e.g. AWS Bedrock AgentCore) and Kubernetes.
• Ensure the team maintains a healthy on-call rotation supporting our customer-facing systems and critical internal tooling, and participate in it yourself — treating every incident as an opportunity to protect the customer experience.
• Grow technical leadership within the team, fostering a culture of learning, ownership, and continuous improvement.

Requirements

• 6+ years of professional software engineering experience, including prior technical leadership or people-management experience, with a track record designing, building, and operating large-scale backend systems in production.
• Demonstrated experience leading a team directly — 1:1s, performance reviews, hiring, career development — while staying credible at the code/architecture level.
• Strong proficiency in Python (FastAPI or similar) or another backend language, with deep experience in distributed systems, microservices, and cloud-native development.
• Hands-on expertise with relational databases (PostgreSQL), caching/messaging systems (Redis), API design, and AWS, including container orchestration with Kubernetes (EKS).
• Experience with CI/CD pipeline engineering and progressive/safe delivery patterns, and release engineering (decoupling deployment from release exposure).
• Infrastructure-as-Code practices for managing cloud infrastructure.
• Experience with observability tooling (e.g. OpenTelemetry, Datadog) for building and operating production systems.
• Experience operating systems built on or integrating with LLM/Generative AI infrastructure is a strong plus.
• Demonstrated strength in system design, debugging, and performance optimization, with the ability to make thoughtful trade-offs between speed, quality, and long-term scalability.

Nice to Have

• Proven ability to influence technical direction without direct authority, and to communicate clearly with technical and non-technical audiences and leadership.
• Hands-on experience with AWS CDK specifically is a nice-to-have.

New Position: This position is open due to an existing vacancy to support our evolving business needs.

Benefits

• Hybrid Work Model: Flexible hybrid working environment for office-based roles while delivering a seamless experience that is digitally and physically connected.
• Flexibility & Work-Life Balance: "Flex My Way" policies support managing personal and professional responsibilities, including work from anywhere for up to 8 weeks per year.
• Career Development and Growth: Culture of continuous learning and skill development with "Grow My Way" programming and a skills-first approach.
• Industry Competitive Benefits: Comprehensive benefit plans including flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
• Culture: Globally recognized for inclusion and belonging, flexibility, work-life balance, and values-driven environment.
• Social Impact: Two paid volunteer days off annually and opportunities for pro-bono consulting projects and ESG initiatives.
• Making a Real-World Impact: Contribute to helping customers pursue justice, truth, and transparency, upholding the rule of law and supporting global commerce and media.

Pay

The base compensation range varies across locations. For any eligible US locations, the base compensation range for this role is $118,400 USD - $219,800 USD. For Ontario, Canada, the base compensation range is $140,600 CAD - $190,600 CAD. Base pay is positioned within the range based on several factors including an individual’s knowledge, skills, and experience with consideration given to internal equity. This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.