Software Development Engineer III

Software Development Engineer – Capital Group

Join our team as a Software Development Engineer at Capital Group.

• Design and implement distributed systems and data‑intensive applications that support critical investment capabilities.
• Architect and own major services, data workflows and analytics‑driven features that directly contribute to delivering long‑term value to investors.
• Leverage AI tools and intelligent automation to accelerate development and improve engineering productivity.
• Help shape how intelligent services—such as generative AI and emerging AI‑driven capabilities—are thoughtfully integrated into production systems.
• Build scalable foundations that enable AI‑powered workflows, automation and decision support, ensuring reliability, performance and enterprise‑grade quality.
• Work across backend services, cloud‑native architectures and modern data platforms to deliver pragmatic solutions to complex computational challenges.
• Design and operationalize agentic systems (LLM‑powered agents and tools) that automate workflows, assist decision‑making, and safely interact with enterprise data and services.
• Take full ownership of the system from ideation through production support, continuously improving the systems you create.
• Mentor engineers, influence technical direction and set a high bar for craftsmanship, simplicity and operational excellence.

• 6+ years of professional software development experience in one or more modern languages such as Python, C#, Java, Go or similar.
• Designed, built and operated distributed systems in production environments.
• Cloud‑first mindset with hands‑on experience building scalable services on AWS or similar platforms.
• Strong data engineering fundamentals and ability to build scalable, reliable data products (batch and streaming) across the full lifecycle.
• Comfortable with lakehouse/warehouse patterns and governance (e.g., Delta/Parquet, catalogs/lineage, access controls).
• Ability to translate investment‑domain needs into technical solutions and understand the importance of accuracy, timeliness and controls.
• Experience building and operating agentic workflows end‑to‑end, including tool/function design, grounding (RAG/semantic retrieval), planning/execution patterns, evaluation, monitoring and guardrails.
• Interest in and motivation for the practical application of generative AI and AI‑enabled capabilities/tools in all aspects of the SDLC.
• Balance innovation with operational excellence and drive long‑term, sustainable improvements.
• Uphold disciplined engineering practices, including automated testing, CI/CD, observability and high‑quality code reviews.
• Excellent verbal and written communication skills and high emotional intelligence.

• Experience with large‑scale data processing frameworks (e.g., Spark) or modern data platforms (e.g., Databricks).
• Strong experience with Python and data orchestration and reliability patterns (e.g., Airflow, DBT, workflows, SLAs/SLOs, data quality checks, idempotency, backfills).
• Experience designing APIs and service‑oriented architectures.
• Experience mentoring and technically leading other engineers.

• Salaries (Southern California) range: $201,683–$322,693.
• Competitive base salary, annual performance bonus and profitability bonus.
• Retirement plan with a 15% company contribution.
• Flexible work options and the opportunity to secure hybrid schedule.
• Generous time‑away and comprehensive health benefits from day one.
• 2-for‑1 matching gifts for charitable contributions and opportunities to secure annual grants for preferred organizations.
• On‑demand professional development resources to hone existing skills and learn new ones.

We are an equal opportunity employer, which means we comply with all federal, state and local laws that prohibit discrimination when making all decisions about employment.

As equal opportunity employers, our policies prohibit unlawful discrimination on the basis of race, religion, color, national origin, ancestry, sex (including gender and gender identity), pregnancy, childbirth and related medical conditions, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, citizenship status, AIDS/HIV status, political activities or affiliations, military or veteran status, status as a victim of domestic violence, assault or stalking or any other characteristic protected by federal, state or local law.