Key skills
AWSCloudGoogle Cloud PlatformJavaJavaScriptJenkinsKubernetesMicroservicesPythonSDLCServiceNowSpring BootSpringBootTerraformTypeScriptGoAIAgenticSpringGCPGoogle CloudGitHub ActionsGKEHelmDatadogGitHubRepositoryAtlassianCI/CDLeadershipDecision MakingSales
About this role
Role Overview
- Define the strategic roadmap for the platform with GitHub Copilot, treating it as a first-class internal product.
- Architect the complete system for Copilot's invocation, context retrieval, and action execution using custom tools.
- Design and manage the Model Context Protocol (MCP) toolset, enabling Copilot's interaction with third-party services like ServiceNow, Atlassian, DataDog, and GCP for context and action.
- Engineer the strategy for providing scalable context to GitHub Copilot, shaping its persona and behavior by translating internal engineering standards into a centralized, version-controlled repository of custom instructions and integrating vendor-provided connectors for various contexts.
- Design, test, and refine complex prompts and contextual data frameworks to ensure our coding agents perform with maximum accuracy, efficiency, and reliability.
- Define and monitor key performance indicators (KPIs) for the agentic system's effectiveness and implement a robust observability stack to track Copilot's interactions for continuous optimization.
- Establish the platform's security posture by implementing safeguards for custom tools and APIs exposed to Copilot, and design a "human-in-the-loop" framework for critical actions.
- Define and enforce granular, code-driven permissions (RBAC) for the custom GitHub Actions and APIs that Copilot can invoke, ensuring the principle of least privilege.
- Demonstrate a deep understanding of cloud native, distributed micro service based architectures.
- Deliver solutions for complex business problems through software standard SDLC.
- Build strong relationships with both internal and external stakeholders including product, business and sales partners.
- Build and manage strong technical teams that deliver complex software solutions that scale.
- Provide deep troubleshooting skills with the ability to lead and solve production and customer issues under pressure.
- Leverage strong experience in full stack software development and public cloud like GCP and AWS.
- Mentor, coach and develop junior and other engineers.
- Lead with a data/metrics driven mindset with extreme focus towards optimizing and creating efficient solutions.
- Ensure compliance with EFX secure software development guidelines and best practices and responsible for meeting and maintaining QE, DevSec, and FinOps KPIs.
- Define, maintain and report SLA, SLO, SLIs meeting EFX engineering standards in partnership with the product, engineering and architecture teams.
- Collaborate with architects, SRE leads and other technical leadership on strategic technical direction, guidelines, and best practices.
- Drive up-to-date technical documentation including support, end user documentation and run books.
- Responsible for implementation architecture decision making associated with Product features/stories, refactoring work, and EOSL decisions.
- Create and deliver technical presentations to internal and external technical and non-technical stakeholders communicating with clarity and precision, and present complex information in a concise format that is audience appropriate.
Requirements
- Bachelor's degree in Computer Science or equivalent experience
- 7+ years of hands on software engineering experience
- 7+ years experience writing, debugging, and troubleshooting code in mainstream Java, Python, Go SpringBoot, TypeScript/JavaScript, HTML, CSS or similar languages
- 1+ years of AI-powered coding assistant experience, preferably Github Copilot.
- Experience designing and developing cloud-native solutions
- Experience designing and developing microservices using Java, SpringBoot, GCP SDKs, GKE/Kubernetes
- Hands-on experience in building and architecting intelligent agent systems or platforms that integrate with LLMs.
- Hands on experience deploying and releasing software using Github actions, Jenkins CI/CD pipelines, understand infrastructure-as-code concepts, Helm Charts, and Terraform constructs
Tech Stack
- AWS
- Cloud
- Google Cloud Platform
- Java
- JavaScript
- Jenkins
- Kubernetes
- Microservices
- Python
- SDLC
- ServiceNow
- Spring Boot
- SpringBoot
- Terraform
- TypeScript
- Go
Benefits
- comprehensive compensation and healthcare packages
- 401k matching
- paid time off
- organizational growth potential through our online learning platform with guided career tracks