Lead Platform Automation Engineer
Salary$141k – $184k
LocationReston, VA; Plano, TX
Work modehybrid
Typefull-time
SeniorityLead
Experience4+ yrs
DepartmentTechnology Engineering
Company size5,001–10,000 people
PostedOct 9, 2026 · 4d ago
Verified live21h ago
At a glanceSummarised by Seekless from the posting.
4+ years of experience
Strong software development experience with modern programming languages (Python, Java and nodeJS) and frameworks, with demonstrated ability to design, develop, test, and support scalable production solutions
Hands-on experience designing, developing, and deploying cloud-native solutions on AWS, using services such as ECS, EKS, AWS Lambda, S3, SNS, SQS, Step Functions, and related AWS services
Experience designing and developing workflow automation and orchestration solutions, using technologies such as Temporal or similar workflow orchestration platforms
Experience designing, developing, and integrating REST APIs and API-based services across enterprise platforms and technology ecosystems
Experience with platform engineering, CI/CD, Git-based development, and automation practices, including building reusable engineering frameworks, harnesses, and workflow components
Experience using AI-assisted software development tools, such as GitHub Copilot, Claude, ChatGPT, or similar technologies, to support software development, workflow automation, testing, troubleshooting, and engineering productivity
Experience implementing and supporting monitoring, logging, metrics, tracing, and observability solutions to assess application and platform health, troubleshoot failures, and improve operational reliability
Demonstrated experience troubleshooting complex distributed systems, platform integrations, and production issues, including root-cause analysis, incident resolution, resiliency, and continuous improvement
Shows curiosity and adaptability in learning and responsibly applying new technologies, including artificial intelligence, to reimagine how we work
Bachelor's degree in computer science or equivalent experience
Relevant industry certifications such as AWS Certified Solutions Architect, AWS Certified Developer, AWS Certified DevOps Engineer – Professional, HashiCorp Terraform Associate, or comparable cloud/platform engineering certifications
Hands-on experience with Temporal, Backstage, GitLab, Terraform Enterprise, and Jira in an enterprise platform engineering environment
Experience with observability and telemetry standards and tools, such as OpenTelemetry, Grafana, Prometheus, Splunk, Datadog, or Dynatrace
Experience with AI/agent engineering concepts and frameworks, including tool calling, structured outputs, context engineering, evaluation frameworks, Model Context Protocol (MCP), or similar technologies
Experience with cloud-native technologies, containers, Kubernetes, infrastructure automation, and enterprise platform engineering environments
Skills
Python
Java
nodeJS
AWS
ECS
EKS
AWS Lambda
S3
SNS
SQS
Step Functions
Temporal
REST APIs
CI/CD
Git
GitHub Copilot
Claude
ChatGPT
GitLab
Terraform Enterprise
Jira
OpenTelemetry
Grafana
Prometheus
Splunk
Datadog
Dynatrace
Kubernetes
Backstage
Model Context Protocol (MCP)
Benefits
Health insurance
About the company
Playing an essential role in the U.S. economy, Fannie Mae is foundational to housing finance. Here, your expertise can help fuel purpose-driven innovation that expands access to homeownership and affordable rental housing across the country. Join Fannie Mae to grow your career and help people find a place to call home.
Responsibilities
Job Description
About the role
As a valued colleague on our team, you will act as the team lead in designing and developing advanced solutions for information technology (IT) infrastructure environments, including coding, testing, and certifying technology platforms, software, and applications, as well as coach and mentor team members.
The Lead Platform Automation Engineer role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities:
•
Design, develop, and support automated workflows using modern workflow orchestration technologies, including Temporal, to streamline complex, multi-step provisioning and platform processes
•
Integrate AI-assisted development capabilities into platform engineering workflows to improve developer productivity, reduce repetitive engineering activities, and accelerate delivery of automation solutions.
•
Leverage GitHub Copilot, Claude, ChatGPT, and other AI-assisted development tools to accelerate workflow development, code generation, refactoring, troubleshooting, documentation, and test automation.
•
Design, implement, and maintain unified observability solutions to monitor build volumes, success and failure rates, component versions, runtime impact, and other key operational metrics.
•
Monitor and troubleshoot complex platform, workflow, integration, and application issues, identifying root causes and implementing solutions to improve platform reliability and operational efficiency.
•
Partner with application development teams to understand operational requirements, identify automation opportunities, eliminate manual activities, and continuously improve the developer experience
•
Participate in technical discussions, knowledge-sharing sessions, code/design reviews, and continuous improvement initiatives across the Platform Engineering organization.
•
Support the reliability and availability of platform services through effective monitoring, troubleshooting, and collaboration with engineering and support teams.
Requirements
Qualifications
THE EXPERIENCE YOU BRING TO THE TEAM
Minimum Required Experiences
•
4+ years
•
Strong software development experience with modern programming languages (Python, Java and nodeJS) and frameworks, with demonstrated ability to design, develop, test, and support scalable production solutions.
•
Hands-on experience designing, developing, and deploying cloud-native solutions on AWS, using services such as ECS, EKS, AWS Lambda, S3, SNS, SQS, Step Functions, and related AWS services.
•
Experience designing and developing workflow automation and orchestration solutions, using technologies such as Temporal or similar workflow orchestration platforms.
•
Experience designing, developing, and integrating REST APIs and API-based services across enterprise platforms and technology ecosystems.
•
Experience with platform engineering, CI/CD, Git-based development, and automation practices, including building reusable engineering frameworks, harnesses, and workflow components.
•
Experience using AI-assisted software development tools, such as GitHub Copilot, Claude, ChatGPT, or similar technologies, to support software development, workflow automation, testing, troubleshooting, and engineering productivity.
•
Experience implementing and supporting monitoring, logging, metrics, tracing, and observability solutions to assess application and platform health, troubleshoot failures, and improve operational reliability.
•
Demonstrated experience troubleshooting complex distributed systems, platform integrations, and production issues, including root-cause analysis, incident resolution, resiliency, and continuous improvement.
•
Shows curiosity and adaptability in learning and responsibly applying new technologies, including artificial intelligence, to reimagine how we work
Desired Experiences
•
Bachelor’s degree in computer science or equivalent experience.
•
Relevant industry certifications such as AWS Certified Solutions Architect, AWS Certified Developer, AWS Certified DevOps Engineer – Professional, HashiCorp Terraform Associate, or comparable cloud/platform engineering certifications.
•
Hands-on experience with Temporal, Backstage, GitLab, Terraform Enterprise, and Jira in an enterprise platform engineering environment.
•
Experience with observability and telemetry standards and tools, such as OpenTelemetry, Grafana, Prometheus, Splunk, Datadog, or Dynatrace.
•
Experience with AI/agent engineering concepts and frameworks, including tool calling, structured outputs, context engineering, evaluation frameworks, Model Context Protocol (MCP), or similar technologies.
•
Experience with cloud-native technologies, containers, Kubernetes, infrastructure automation, and enterprise platform engineering environments.
Target Salary: $141,000 to $184,000 a year
Enterprise Platforms - Technology Engineering - Lead Associate
Qualifications
Education:
Bachelor’s Level Degree (Required)
The future is what you make it to be. Discover compelling opportunities at Fanniemae.com/careers.
For most roles, employees are expected to work onsite on a regular basis at their designated office location. In-office work cadence is determined by your manager. Proximity within a reasonable commute to your designated office location is preferred unless the job is noted as open to remote.
Legal
Fannie Mae is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, sex, national origin, disability, age, sexual orientation, gender identity/gender expression, marital or parental status, or any other protected factor. Fannie Mae is committed to providing reasonable accommodations to qualified individuals with disabilities who are employees or applicants for employment, unless to do so would cause undue hardship to the company. If you need assistance using our online system and/or you need a reasonable accommodation related to the hiring/application process, please complete this form.
The hiring range for this role is set forth below. Final salaries will generally vary within that range based on factors that include but are not limited to, skill set, depth of experience, certifications, and other relevant qualifications. This position is eligible to participate in a Fannie Mae incentive program (subject to the terms of the program). As part of our comprehensive benefits package, Fannie Mae offers a broad range of Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee’s physical, mental, emotional, and financial well-being. See more here.
Requisition compensation:
141000
to
184000