Job description

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview As a Senior Engineering Lead, you will be a hands-on technical leader within the Platforms & Infrastructure team in Enterprise Operations & Technology, helping a growing cloud platform organization raise its engineering maturity and delivery effectiveness. This high-visibility role applies GenAI, AIOps, automation, and modern AWS engineering practices to reduce platform toil, remove operational delays, and design self-service, self-healing capabilities. By codifying reusable patterns, automation frameworks, and guardrails, this role enables application teams to modernize with less platform friction while maintaining secure, scalable, and resilient outcomes in a regulated environment. Our Impact: Enterprise Operations & Technology enables Freddie Mac’s business through resilient operations, technology modernization, risk management, and platform innovation. Our teams deliver the capabilities, standards, and tools that help the enterprise operate securely, efficiently, and at scale. Your Impact: Provide senior technical leadership to a maturing cloud platform team by establishing reusable patterns, reference architectures, automation, and implementation standards. Design self-service and self-healing platform capabilities that reduce manual intervention, ticket-driven support, operational delays, and recurring resiliency issues. Deliver AWS-native automation, serverless patterns, infrastructure as code, and code artifacts that create repeatable platform outcomes. Advance AIOps, GenAI, and intelligent automation across cloud databases, shared platform services, observability, and developer enablement capabilities. Establish engineering guardrails and operational patterns that improve reliability, scalability, security, compliance, and speed of delivery. Serve as an independent technical voice, challenging assumptions and defending architecture decisions with clear reasoning, evidence, and practical implementation. Represent engineering in leadership forums, contributing to roadmap planning, investment decisions, technology governance, and platform modernization strategy. Qualifications: 10 years of related engineering, platform, or cloud technology experience; bachelor’s degree in a related field preferred. Deep AWS experience across cloud architecture, serverless services, scalable infrastructure, observability, and secure, resilient platform design. Strong hands-on proficiency with infrastructure as code (Terraform, CloudFormation/SAM, AWS CDK) and modern automation/scripting languages (Python, TypeScript/Node.js, Bash, SQL), with proven experience designing and operating CI/CD pipelines. Working knowledge of cloud data platform technologies — including NoSQL and document databases (e.g., DynamoDB, MongoDB/DocumentDB), event streaming (e.g., Kafka/MSK, Kinesis), and emerging AI/GenAI services (e.g., Amazon Q, Bedrock) — with the ability to integrate them into secure, scalable platform solutions. Experience transitioning hosted, COTS, or vendor-managed capabilities toward AWS-native, serverless, event-driven, or cloud-native service patterns where appropriate. Strong understanding of DevOps, CI/CD, microservices, containers, Kubernetes, Docker, and related cloud-native technologies. Proven ability to research, prototype, and deliver solutions independently while creating reusable assets that improve team maturity and execution consistency. Strong enterprise technology judgment, including security, compliance, governance, resiliency, data infrastructure, and hybrid or multi-cloud deployment considerations. Key to Success in this role Operates independently, moving from strategy to implementation without heavy direction. Makes defensible architecture tradeoffs across scalability, resilience, security, cost, compliance, and operability. Influences highly opinionated technical stakeholders through prototypes, data, clear reasoning, and credible hands-on execution. Elevates engineering teams through mentoring, design reviews, standards, and reusable assets. Applies a platform-as-product mindset, treating internal platform capabilities as customer-focused products with clear adoption, usability, reliability, and value outcomes. Communicates complex platform concepts clearly across engineering, product, security, risk, and leadership teams. Current Freddie Mac employees please apply through the internal career site. We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. A safe and secure environment is critical to Freddie Mac’s business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs. CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit www.BountyJobs.com and register with our referral code: MAC. Time-type:Full time FLSA Status:Exempt Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site. This position has an annualized market-based salary range of $161,000 - $241,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.

Requirements

Must-haves

Position Overview
This high-visibility role applies GenAI, AIOps, automation, and modern AWS engineering practices to reduce platform toil, remove operational delays, and design self-service, self-healing capabilities.
Provide senior technical leadership to a maturing cloud platform team by establishing reusable patterns, reference architectures, automation, and implementation standards.
Design self-service and self-healing platform capabilities that reduce manual intervention, ticket-driven support, operational delays, and recurring resiliency issues.
Deliver AWS-native automation, serverless patterns, infrastructure as code, and code artifacts that create repeatable platform outcomes.
Advance AIOps, GenAI, and intelligent automation across cloud databases, shared platform services, observability, and developer enablement capabilities.
Establish engineering guardrails and operational patterns that improve reliability, scalability, security, compliance, and speed of delivery.
Serve as an independent technical voice, challenging assumptions and defending architecture decisions with clear reasoning, evidence, and practical implementation.
Represent engineering in leadership forums, contributing to roadmap planning, investment decisions, technology governance, and platform modernization strategy.
Deep AWS experience across cloud architecture, serverless services, scalable infrastructure, observability, and secure, resilient platform design.
Experience transitioning hosted, COTS, or vendor-managed capabilities toward AWS-native, serverless, event-driven, or cloud-native service patterns where appropriate.
Strong understanding of DevOps, CI/CD, microservices, containers, Kubernetes, Docker, and related cloud-native technologies.
Proven ability to research, prototype, and deliver solutions independently while creating reusable assets that improve team maturity and execution consistency.
Strong enterprise technology judgment, including security, compliance, governance, resiliency, data infrastructure, and hybrid or multi-cloud deployment considerations.
Key to Success in this role
Operates independently, moving from strategy to implementation without heavy direction.
Makes defensible architecture tradeoffs across scalability, resilience, security, cost, compliance, and operability.
Influences highly opinionated technical stakeholders through prototypes, data, clear reasoning, and credible hands-on execution.
Elevates engineering teams through mentoring, design reviews, standards, and reusable assets.
Applies a platform-as-product mindset, treating internal platform capabilities as customer-focused products with clear adoption, usability, reliability, and value outcomes.
Communicates complex platform concepts clearly across engineering, product, security, risk, and leadership teams.
Current Freddie Mac employees please apply through the internal career site.
CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Nice-to-haves

10 years of related engineering, platform, or cloud technology experience; bachelor’s degree in a related field preferred.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

awspythontypescriptnode.jssqlci/cdaikubernetesdocker

Platform: workday
Effort: long