Senior Platform Engineer

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.

About the role

• Design and deliver backend and platform services that power AI agent workflows — request/event ingestion, agent orchestration, document and file handling — improving reliability and delivery speed for product teams building on the platform.
• Contribute to 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.
• Build and maintain the cloud infrastructure the platform runs on — provisioning, capacity, and environment configuration — using Infrastructure-as-Code practices.
• Make sound architectural decisions for the services you own, with a focus on scalability, reliability, and maintainability within a microservices/event-driven system.
• Collaborate with product, applied-AI, and infrastructure teams on cross-functional initiatives, contributing to design and helping de-risk complex, multi-system projects.
• Uphold high engineering standards — code quality, automated testing, observability, CI/CD, and operational excellence — in your own work and in code review.
• Build and maintain observability into our services — metrics, logging, and tracing — that gives the team visibility into system health and speeds up incident diagnosis.
• Strengthen monitoring, incident response, and root-cause analysis for production systems running on managed cloud AI runtimes (e.g. AWS Bedrock AgentCore) and Kubernetes.
• Participate in an on-call rotation to support our customer-facing systems and critical internal tooling — treating every incident as an opportunity to protect the customer experience.
• Mentor junior and mid-level engineers, sharing knowledge and supporting their technical growth.

Requirements

• 4+ years of professional software engineering experience, including experience designing, building, and operating backend systems in production.
• Strong proficiency in Python (FastAPI or similar) or another backend language, with 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 (e.g. staged rollouts, traffic-shifted or environment-based release strategies).
• Infrastructure-as-Code practices for managing cloud infrastructure.
• Hands-on 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 (e.g. managed agent runtimes, LLM gateways, RAG or document-retrieval pipelines) is a strong plus.
• Strong system design, debugging, and performance optimization skills, with the ability to make thoughtful trade-offs between speed, quality, and long-term scalability.

Benefits

• Hybrid Work Model: Flexible hybrid working environment with work from anywhere for up to 8 weeks per year.
• Flexibility & Work-Life Balance: Supportive policies including two company-wide Mental Health Days off, flexible work arrangements, and resources for mental, physical, and financial wellbeing.
• Career Development and Growth: Continuous learning and skill development programs, including tuition reimbursement and a skills-first approach.
• Industry Competitive Benefits: Comprehensive benefit plans including health, dental, vision, disability, and life insurance; retirement savings with company match; employee incentive programs; and access to the Headspace app.
• Culture: Globally recognized for inclusion and belonging, flexibility, work-life balance, and values-driven environment.
• Social Impact: Two paid volunteer days off annually, opportunities for pro-bono consulting projects, and ESG initiatives.
• Additional Benefits: Optional hospital, accident, and sickness insurance; life and AD&D insurance; Flexible Spending and Health Savings Accounts; fitness reimbursement; Employee Assistance Program; Group Legal Identity Theft Protection; commuter benefits; Adoption & Surrogacy Assistance; and access to Employee Stock Purchase Plan.

Pay

For any eligible US locations, the base compensation range for this role is $94,900 USD - $176,300 USD. For Ontario, Canada, the base compensation range is $105,000 CAD - $155,000 CAD. Base pay is positioned within the range based on knowledge, skills, experience, and internal equity. This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.