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Lead Platform Engineer
S&P Global. Build reusable automation for agent deployment, provisioning, configuration, and lifecycle management .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building reusable automation for agent deployment and lifecycle management, with strong skills in Python, Go, and CI/CD practices. Proficient in integrating with enterprise APIs and security tools while ensuring secure software delivery and operational automation.
Highest-signal resume keywords
Python ProgrammingCI/CD ImplementationDocker ContainerizationREST API IntegrationInfrastructure As Code
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonGoREST APIsCI/CDInfrastructure As CodeDockerKubernetesSecrets ManagementLoggingMonitoring
Tools & Technologies
GitMCP ServersSecurity ToolsTelemetryApproval Gates
Industry Keywords
Platform EngineeringInfrastructure AutomationDevOpsSecure Software DeliveryVulnerability Management
Tech Stack
Tools & technologiesDockerKubernetesPythonGo
About the role
Key responsibilities & impact- Build reusable automation for agent deployment, provisioning, configuration, and lifecycle management
- Implement secure, isolated, ephemeral execution environments for coding agents and automated engineering workflows
- Develop integrations with agent platforms, enterprise APIs, MCP servers, and security tools
- Automate testing, evaluation, versioning, release, and deployment of agent configurations and skills through standardized CI/CD
- Enforce least-privilege access, secrets management, and audit logging for agent workflows
- Add telemetry, health checks, retries, timeouts, approval gates, and rollback to improve workflow reliability
- Build reusable scripts, APIs, infrastructure-as-code modules, and libraries, and document them for use across teams
- Troubleshoot integration and runtime issues
- Work with architects and use-case teams to turn designs into deployable solutions
Requirements
What you’ll need- Strong Python, Go, or similar programming and scripting skills
- Hands-on experience with REST APIs, SDKs, authentication, and system integrations
- Experience with containers, Docker, Kubernetes, or sandboxed execution environments
- Experience with CI/CD, Git, infrastructure as code, and automated deployment
- Knowledge of IAM, secrets management, secure software delivery, and auditability
- Experience with logging, monitoring, and operational automation
- Ability to build reusable components across varied and evolving technology stacks
- 8–10 years in platform engineering, infrastructure automation, DevOps, or software engineering
- Experience in secure or regulated enterprise environments preferred
- Experience integrating coding agents or AI agent platforms, familiarity with LLM agents, MCP, and AI workflow automation preferred
- Experience building ephemeral environments for automated code execution, testing, or remediation preferred
- Familiarity with vulnerability management and security tooling preferred
Benefits
Comp & perks- Health care coverage designed for the mind and body
- Generous time off
- Continuous learning resources and career development opportunities
- Competitive pay
- Retirement planning
- Continuing education program
- Company-matched student loan contribution
- Financial wellness programs
- Family benefits and perks
- Retail discounts
- Referral incentive awards