Agile Development Director

Agile Development Director (Software Engineering Director) - Multifamily Technology
Join to apply for the Agile Development Director (Software Engineering Director) - Multifamily Technology role at Freddie Mac.
We are seeking a highly skilled Software Engineering Director with proven expertise in designing, building, and scaling data solutions. This role requires not only strong technical depth but also the ability to lead, mentor, and inspire teams of data engineers. You will be responsible for driving the technical strategy, design, and implementation of our data platform to enable advanced analytics, AI/ML, and business intelligence across the organization. This role uniquely combines hands‑on technical leadership with strategic thinking, requiring someone who can design and deliver solutions for today while building capabilities for tomorrow’s AI‑driven landscape.
This support takes many forms, including deploying new technologies such as web‑based solutions driven by AI and microservices, and maintaining critical underwriting and accounting applications.
Drive the technical vision for next‑generation applications incorporating AI capabilities.
Implement responsible AI practices and ensure ethical AI deployments.
Communicate complex technical ideas clearly and lead teams toward shared goals.
Lead the adoption of AI‑powered development tools and practices.
Perform code reviews to ensure code is rigorously designed, elegantly coded, and effectively tuned for performance.
Balance technical leadership and savvy with strong business judgement to make the right decisions about engineering choices.
Build reusable components and platforms that accelerate development.
Lead teams to build and integrate Gen AI solutions with enterprise platforms via API‑based methods and standardized patterns.
Transform how teams approach problem‑solving through AI augmentation.
Strategically leverage outsourced engineering services to ensure timeliness, scalability, and maintainability of special projects.
Bachelor’s or Master’s in Computer Science, Computer Engineering, or related field.
15+ years of non‑internship professional experience in software engineering, with at least 5+ years in data engineering.
10+ years of experience in design, development, delivery and supporting distributed systems using Java, Spring, Spring Boot, Microservices, RESTful and GraphQL APIs.
4+ years’ experience in developing and maintaining applications using Spark frameworks with strong programming skills in Python, Scala, and the Spark ecosystem.
Knowledge of object‑oriented design, data structures, and algorithms.
Experience with cloud platforms like AWS, GCP or Azure and their data services.
Strong knowledge of data fabric concepts (data virtualization, metadata‑driven orchestration, semantic layers).
Experience with near real‑time data processing, stream‑based integrations, and data serialization formats.
Experience with data modelling and an understanding of common information models.
5+ years’ experience in Agile practices, building software in enterprise environments, with 1+ years in applied Gen AI or LLM‑based solutions.
Experience with modern data analytics and AI/ML integration (SageMaker, Tableau, Snowflake Spectrum).
Hands‑on experience with CI/CD pipelines and modern DevOps/DataOps practices, including Git, Terraform, Jenkins, Pipelines, and containerization.
Experience in designing, implementing, and maintaining scalable data pipelines and ETL/ELT processes to support enterprise reporting and analytics needs.
Experience in data governance discipline including master data management, data quality management, metadata management, lineage, and cataloging.
Experience with OAuth implementation, API management, service mesh, Active‑MQ implementations (queue/topic) and schedulers for batch jobs.
Experience with database systems (RDBMS, GraphDB, advanced SQL proficiency, MongoDB), object storage (S3, Blob), caching (Redis), and data marts.
Experience solving complex problems, especially in algorithm‑heavy or data‑intensive applications.
Knowledge in building RAG systems, data ingestion pipelines, and embedding‑driven retrieval systems.
7+ years in leadership roles managing cross‑functional engineering teams including both data engineers and software engineers.
Deep understanding of modern software designs and emerging AI technologies.
Ability to establish engineering practices for responsible AI implementation.
Being enthusiastic about technology and engineering discipline and applying it in building innovative distributed systems reducing complexity.
Energized by challenges, demonstrating resilience, incredible technical analysis, and focus on doing the right thing.
Constantly exploring modern technologies and their practical applications.
Building consensus while driving technical excellence.
Ability to create and articulate application technical designs, decomposing designs to development tasks, sizing efforts and building roadmaps aligning with business goals.
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 or 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. 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.
Full time
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. xrczosw 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.
Full-time