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 for office-based roles.
• Flexibility & Work-Life Balance: "Flex My Way" policies including work from anywhere for up to 8 weeks per year, and supportive workplace policies for managing personal and professional responsibilities.
• 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, and employee incentive programs.
• 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 products that help uphold the rule of law, turn the wheels of commerce, and provide trusted information globally.

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.