Principal Software Engineer

We are looking for a hands-on Principal Software Engineer 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.

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.

Requirements

• 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.

Skills

• Building integrations with systems like Salesforce, Workday, Marketo, Google Ads, 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.
• RAG (Retrieval-Augmented Generation) architectures.
• Agentic AI systems (tool-using agents, orchestration, multi-step reasoning workflows).
• Spec-driven AI-assisted development.

About the Company

Epsilon is a global data, technology, and services company that powers the marketing and advertising ecosystem. We provide marketers from the world’s leading brands the data, technology, and services they need to engage consumers with a unified view, vision, and voice across paid, owned, and earned channels. Our comprehensive portfolio includes digital media, messaging, and loyalty solutions, processing over 400 billion consumer actions daily using advanced AI and proprietary technology.

Our culture is built on five pillars: People centricity, Collaboration, Growth, Innovation, and Flexibility. These values guide our decisions and unite us in our mission to create value for clients, employees, and consumers.

Benefits

• Flexible time off (FTO) and 15 paid holidays.
• Paid sick time.
• Parental/new child leave, childcare & elder care assistance, adoption assistance.
• Comprehensive health coverage (medical, dental, vision).
• 401(k) retirement plan.
• Tuition assistance.
• Commuter benefits.
• Professional development and employee recognition programs.
• Charitable donation matching.
• Health coaching and counseling.

Pay

Compensation range: USD $129,500.00 - USD $240,500.00 annually. Compensation will be determined based on skills, qualifications, and experience.