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Manager II, Engineering – Kubernetes Platform
CloudDistributed SystemsKubernetes
Staff Software Engineer
Thomson ReutersCore Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and architecting AI agentic systems, with strong proficiency in Python, FastAPI, and PostgreSQL. Proven ability to lead technical strategy, mentor engineers, and ensure compliance with ethical AI principles and security standards.
Highest-signal resume keywords
Technical LeadershipAI Systems DevelopmentPython ProgrammingCI/CD Pipeline ManagementCloud Services (AWS/Azure)
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Join the CoCounsel team building next-generation AI agentic products for legal professionals
- Provide technical direction and delivery for Litigation Drafting products in CoCounsel Legal
- Provide technical leadership for front-end and back-end engineers
- Build and architect AI agentic systems with the Engineering Manager
- Lead technical strategy, experimentation, testing, rollout practices, and operational excellence
- Design and build backend services using Python, FastAPI, and PostgreSQL
- Contribute to agentic workflows, LLM orchestration, and content pipelines
- Define service boundaries, system interfaces, and scalable design patterns
- Support front-end engineers delivering a complex Agentic UI using SSE, AG-UI, Claude Agent SDK, and AgentCore
- Lead evaluation and adoption of cutting-edge AI techniques
- Oversee proof-of-concept work and technical feasibility for AI-driven features
- Translate AI research insights into technical roadmaps
- Lead architecture decisions and translate business requirements into scalable technical specifications
- Mentor senior and junior software engineers
- Design and implement testing, monitoring, and observability for AI systems at scale
- Lead compliance with ethical AI principles, security standards, and regulatory requirements
- Partner with Labs, product managers, designers, and engineering leaders to productionize AI agent concepts
- Integrate with LLM providers such as OpenAI and Anthropic
- Implement orchestration, routing, error handling, guardrails, telemetry, and observability
- Strengthen CI/CD pipelines and DevOps automation for fast, stable, cloud-native workflows
Requirements
What you’ll need- 7+ years of software engineering experience
- 2+ years in technical leadership roles
- 3+ years building scalable cloud applications, APIs, and AI-enabled products
- Proven track record of shipping production-grade AI systems to customers, including deployment, monitoring, evaluation, scaling, and ongoing operational ownership in enterprise environments
- Strong proficiency in Python, FastAPI, PostgreSQL, and AWS or Azure cloud services
- Deep understanding of distributed systems, architecture, and data modelling
- Experience building and owning CI/CD pipelines for production web applications, including automated testing and safe release practices
- Strong cross-functional communication skills
- Strong product sense and ability to work from ambiguous requirements
- Strong leadership and mentoring experience
- Excellent strategic thinking and problem-solving
- Outstanding communication and presentation skills with experience influencing senior stakeholders
- Preferred: BA or BS in Computer Science or equivalent practical experience
- Preferred: Strong knowledge of vector databases, embeddings, semantic search, and information retrieval
- Preferred: Hands-on experience with the AG-UI protocol or comparable agent-UI protocols and SDKs
- Preferred: Strong proficiency in SSE events
- Preferred: Knowledge of backend streaming patterns, including Node and Python/FastAPI
- Preferred: Experience with Datadog, CloudWatch Log Insights, and Braintrust
- Preferred: Prior experience working on products for legal, compliance, or other regulated professional domains
Benefits
Comp & perks- Flexible hybrid working environment
- Work from anywhere for up to 8 weeks per year
- Flexible vacation
- Two company-wide Mental Health Days off
- Headspace app access
- Retirement savings
- Tuition reimbursement
- Employee incentive programs
- Mental, physical, and financial wellbeing resources
- Two paid volunteer days off annually
- Pro-bono consulting project opportunities
- ESG initiative opportunities
- Health, dental, vision, disability, and life insurance programs
- Competitive 401(k) plan with company match
- Sick and safe paid time off
- Paid holidays, including two company mental health days off
- Parental leave
- Sabbatical leave
- Optional hospital, accident and sickness insurance
- Optional life and AD&D insurance
- Flexible Spending and Health Savings Accounts
- Fitness reimbursement
- Employee Assistance Program
- Group Legal Identity Theft Protection benefit
- 529 Plan access
- Commuter benefits
- Adoption & Surrogacy Assistance
- Employee Stock Purchase Plan
- Possible annual bonus based on enterprise and individual performance
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonFastAPIPostgreSQLDistributed SystemsData ModellingCI/CD PipelinesAI SystemsCloud ApplicationsAPIsAgentic Workflows
Soft Skills
Cross-Functional CommunicationStrategic ThinkingProblem-SolvingMentoringPresentation Skills
Tools & Technologies
AWSAzureDatadogCloudWatch Log InsightsAG-UI ProtocolSSE EventsTelemetryObservabilityError HandlingGuardrails
Certifications & Qualifications
BA or BS in Computer Science
Industry Keywords
LegalComplianceRegulated DomainsAI-Enabled ProductsEnterprise Environments