{"id":2195113,"url":"https://alion.io/job/fannie-mae-lead-platform-automation-engineer","title":"Lead Platform Automation Engineer","company":{"id":1757751,"name":"Fannie Mae","domain":"fanniemae.com","url":"https://alion.io/company/fanniemae","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Reston, United States","Plano, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":141000,"max":184000,"currency":"USD","period":"year","gross":null,"usd_annual":184000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon ECS","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"Backstage","optional":false},{"name":"ChatGPT","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Context Engineering","optional":false},{"name":"Copilot","optional":false},{"name":"Datadog","optional":false},{"name":"Dynatrace","optional":false},{"name":"Function Calling","optional":false},{"name":"Git","optional":false},{"name":"GitLab","optional":false},{"name":"Grafana","optional":false},{"name":"Java","optional":false},{"name":"Jira","optional":false},{"name":"Kubernetes","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Node JS","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Splunk","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Terraform","optional":false},{"name":"Tool Use","optional":false},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-10-09T19:06:25Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-18T02:45:17Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"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.\nJob Description\nAs 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.\nThe 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:\nDesign, develop, and support automated workflows using modern workflow orchestration technologies, including Temporal, to streamline complex, multi-step provisioning and platform processes\nIntegrate AI-assisted development capabilities into platform engineering workflows to improve developer productivity, reduce repetitive engineering activities, and accelerate delivery of automation solutions.\nLeverage GitHub Copilot, Claude, ChatGPT, and other AI-assisted development tools to accelerate workflow development, code generation, refactoring, troubleshooting, documentation, and test automation.\nDesign, implement, and maintain unified observability solutions to monitor build volumes, success and failure rates, component versions, runtime impact, and other key operational metrics.\nMonitor and troubleshoot complex platform, workflow, integration, and application issues, identifying root causes and implementing solutions to improve platform reliability and operational efficiency.\nPartner with application development teams to understand operational requirements, identify automation opportunities, eliminate manual activities, and continuously improve the developer experience\nParticipate in technical discussions, knowledge-sharing sessions, code/design reviews, and continuous improvement initiatives across the Platform Engineering organization.\nSupport the reliability and availability of platform services through effective monitoring, troubleshooting, and collaboration with engineering and support teams.\nQualifications\nTHE EXPERIENCE YOU BRING TO THE TEAM\nMinimum Required Experiences\n4+ years\nStrong 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.\nHands-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.\nExperience designing and developing workflow automation and orchestration solutions, using technologies such as Temporal or similar workflow orchestration platforms.\n Experience designing, developing, and integrating REST APIs and API-based services across enterprise platforms and technology ecosystems.\nExperience with platform engineering, CI/CD, Git-based development, and automation practices, including building reusable engineering frameworks, harnesses, and workflow components.\nExperience 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.\nExperience implementing and supporting monitoring, logging, metrics, tracing, and observability solutions to assess application and platform health, troubleshoot failures, and improve operational reliability.\nDemonstrated experience troubleshooting complex distributed systems, platform integrations, and production issues, including root-cause analysis, incident resolution, resiliency, and continuous improvement.\nShows curiosity and adaptability in learning and responsibly applying new technologies, including artificial intelligence, to reimagine how we work\nDesired Experiences\nBachelor’s degree in computer science or equivalent experience.\nRelevant 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.\nHands-on experience with Temporal, Backstage, GitLab, Terraform Enterprise, and Jira in an enterprise platform engineering environment.\n Experience with observability and telemetry standards and tools, such as OpenTelemetry, Grafana, Prometheus, Splunk, Datadog, or Dynatrace.\nExperience with AI/agent engineering concepts and frameworks, including tool calling, structured outputs, context engineering, evaluation frameworks, Model Context Protocol (MCP), or similar technologies.\nExperience with cloud-native technologies, containers, Kubernetes, infrastructure automation, and enterprise platform engineering environments.\nTarget Salary: $141,000 to $184,000 a year\nEnterprise Platforms - Technology Engineering - Lead Associate\n#LI-Hybrid\nQualifications\nEducation:\nBachelor's Level Degree (Required)The future is what you make it to be. Discover compelling opportunities at Fanniemae.com/careers.\nFor 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.\nFannie 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.\nThe 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. 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