Principal Software Engineer

Job Description We are looking for a hands‑on Director of Software Engineering to lead the development of a modern Integration Platform that ingests, transforms, and loads data from various third‑party connectors into our core People Cloud Platform. This role demands strong technical leadership, deep software engineering expertise, and a passion for modern infrastructure and deployment practices. You will lead and mentor high‑performing engineering teams while actively contributing to architectural decisions and code review efforts. Responsibilities Lead the design and implementation of an extensible integration platform to onboard and manage data from various systems. Architect and oversee data ingestion pipelines from external APIs, file‑based sources, and event streams into the People Cloud using Databricks, Spark, and custom ETL services. Build reusable, scalable connector frameworks with monitoring, retry logic, and transformation capabilities. Ensure seamless integration with the People Cloud's APIs, data models, and customer‑facing features. Drive backend development with Java/Spring Boot and real‑time and batch data processing strategies. Oversee the frontend architecture (Angular) for internal tools and dashboards managing connectors, data flows, and transformation logic. Collaborate cross‑functionally with product, data, and cloud infrastructure teams to align technical delivery with business goals. Ensure the platform is multi‑cloud compatible, leveraging AWS, Azure, or GCP services where needed. Implement and maintain CI/CD pipelines, infrastructure as code, and blue‑green deployment strategies for highly reliable releases. Qualifications 10+ years in software engineering, with a strong foundation in backend systems and data engineering. 5+ years of leadership experience, including team building, mentoring, and delivery management. Expertise in Java, Spring Boot, REST APIs, and building cloud‑native microservices. Strong understanding of data integration patterns, API consumption, and real‑time/batch ETL. Experience building multi‑connector frameworks is a big plus. Knowledge of Angular for front‑end development and dashboarding. Proven experience with multi‑cloud deployment, Kubernetes, Terraform, and observability tools. Experience with CI/CD pipelines and blue‑green deployments in production environments. Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Preferred Experience Building integrations with systems like Salesforce, Workday, Marketo, GoogleAds, Segment, Snowflake. Hands‑on experience with Databricks, Spark, or equivalent data processing platforms. Strong understanding of data integration patterns, API consumption, and real‑time/batch ETL. Experience with: RAG (Retrieval‑Augmented Generation) architectures Agentic AI systems (tool‑using agents, orchestration, multi‑step reasoning workflows) Experience with spec‑driven AI‑assisted development Benefits Compensation Range: USD $129,500.00 – USD $240,500.00 per annum. Time to Recharge: Flexible time off (FTO), 15 paid holidays Time to Recover: Paid sick time Family Well‑Being: Parental/new child leave, childcare & elder care assistance, adoption assistance Extra Perks: Comprehensive health coverage, 401(k), tuition assistance, commuter benefits, professional development, employee recognition, charitable donation matching, health coaching and counseling Equal Opportunity Statement Epsilon is an Equal Opportunity Employer. Epsilon’s policy is not to discriminate against any applicant or employee based on actual or perceived race, age, sex or gender (including pregnancy), marital status, national origin, ancestry, citizenship status, mental or physical disability, religion, creed, color, sexual orientation, gender identity or expression (including transgender status), veteran status, genetic information, or any other characteristic protected by applicable federal, state or local law. Epsilon also prohibits harassment of applicants and employees based on any of these protected categories. Epsilon will provide accommodations to applicants needing accommodations to complete the application process. Please reach out to View email address on click.appcast.io to request an accommodation. For San Francisco Bay and Los Angeles Areas: Epsilon will consider for employment qualified applicants with criminal histories in a manner consistent with the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance and San Francisco Police Code Sections 4901‑4919, commonly referred to as the San Francisco Fair Chance Ordinance. Applicants with criminal histories are welcome to apply. #J-18808-Ljbffr