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Lead Software Engineer

DigitasLBi

Lead Software Engineer In The CDP Team

The Product team forms the crux of our powerful platforms and helps connect millions of customers worldwide with the brands that matter most to them. This team of innovative problem solvers develops and builds products that position Epsilon as a differentiator, encouraging an open and balanced marketplace built on respect for individuals, where every brand interaction holds value. Our full-cycle product engineering and data teams chart the future and set new benchmarks for our products, by using industry standard methodologies and sophisticated capabilities in data, machine learning, and artificial intelligence. Driven by a passion for delivering smart end-to-end solutions, this team plays a key role in Epsilon's success story.

As a Lead Software Engineer in the CDP team, you will drive design, delivery, technical strategy, and execution for critically important data systems. You will define engineering standards, influence long-term platform direction, mentor junior engineers, and ensure the CDP and Foundations platform scales securely and reliably to support sustained business growth.

Responsibilities:

  • Deliver large-scale cloud-native data platforms primarily on AWS using REST APIs, micro services and event driven applications to build highly scalable and resilient systems.
  • Work hands-on across the technology stack - including Java, Python, Spark, TypeScript, JavaScript, Angular, AWS services, event-driven architectures, and SQL/NoSQL databases - to solve complex engineering challenges and maintain platform excellence.
  • Lead product wide technical initiatives focused on performance optimization, scalability, reliability, security, governance, and cost efficiency.
  • Partner closely with global engineering, product management, architecture, and business partners to align technical solutions with strategic business objectives.
  • Own the end-to-end software development lifecycle, including requirements gathering, solution design, development, deployment, observability, and documentation.
  • Mentor and guide junior engineers, fostering a culture of innovation, accountability, collaboration, and technical excellence.

Qualifications:

  • B.E./B.Tech/M.Tech/MCA in Computer Science, Information Technology, or a related field.
  • 8-10 years of strong software engineering experience, with deep expertise in building scalable UX driven applications and distributed systems architecture.
  • Proven experience designing and building scalable REST APIs, microservices, Kubernetes, and distributed systems.
  • Experience in Data Warehousing, Data Lakes, Delta Lake architecture, and modern big data ecosystem designs.
  • Strong hands-on expertise in Python, Java, Angular and well-versed with Object oriented design patterns and Functional programming.
  • Expertise in PySpark, and Apache Spark, with proven experience building high-performance distributed data processing solutions.
  • Solid depth in Micro-services development with Kubernetes containerization for eventing and serving.
  • Extensive experience with AWS services such as S3, Lambda, API Gateway, and EventBridge for building scalable, reliable, cloud-native data platforms.
  • Strong experience with messaging and event-driven technologies such as Kafka, SNS, and SQS, along with solid expertise in relational and NoSQL databases including PostgreSQL, SQL Server, Aurora, DynamoDB, MongoDB, and Redis.
  • Hands-on experience with Infrastructure as Code (IaC) tools such as Terraform and Ansible.
  • Strong understanding of CI/CD and DevOps practices using tools such as Jenkins, GitHub/GitLab, Bitbucket, GoCD, and automated deployment pipelines.
  • Experience implementing robust testing strategies, including unit, integration, and regression testing, while adhering to engineering best practices.
  • Strong critical thinking and analytical skills, with the ability to diagnose, troubleshoot, and solve complex technical problems effectively.
  • Exposure to Generative AI technologies, including LLMs, RAG architectures, and Agentic AI systems.

Epsilon is a global company with more than 9,000 employees around the world. Our pillars aren't just words. They're how we show up every day. People centricity: We focus on employee well-being in an environment where colleagues truly care about each other. Collaboration: We work together, support one another, and collectively achieve goals. Growth: There are endless opportunities for growth through learning, development and career advancement. Innovation: We drive progress through cutting-edge solutions and forward-thinking approaches. Flexibility: We've created a balance between work and personal life, and we encourage adaptability to solve problems creatively. Our values guide us to create value for our clients, our people and consumers.

Act with integrity Work together to win together Innovate with purpose Respect all voices Empower with accountability

Epsilon benefits are subject to eligibility requirements and other terms. 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.

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