Lead Software Engineer

Publicis Groupe ANZ; New York (NY); On-site; USD 119,600 - 222,000; Full time

Benefits offered by this job

Flexible time off

Comprehensive health coverage

401(k)

Tuition assistance

Job summary

Publicis Groupe ANZ is searching for a Lead Engineer to enhance Epsilon Clean Room's technical strategy and execution. This role requires delivering large-scale cloud-native data platforms, primarily on AWS, and collaborating closely with product management and engineering teams.

The ideal candidate will have over 8 years of experience in software engineering, expertise in distributed systems and microservices, and a strong command of modern JavaScript/TypeScript technologies.

Comprehensive benefits, including flexible time off and health coverage, are provided.

Qualifications

• 8+ years of software engineering experience designing, building, and maintaining large-scale applications.
• Proven expertise in distributed systems and microservices design.
• Strong proficiency in the modern JavaScript/TypeScript ecosystem.

Responsibilities

• Deliver large-scale cloud-native data platforms on AWS using REST APIs and microservices.
• Partner with stakeholders to align technical solutions with business objectives.
• Mentor and guide junior engineers.

Skills

Distributed systems

Microservices design

REST APIs

JavaScript

TypeScript

Node.js

Cloud-native applications

Event-driven architecture

Education

Bachelor's degree in computer science

Tools

Terraform

AWS

Kafka

Docker

Job description

Overview

Epsilon is looking for a Lead Engineer to drive the design, delivery, technical strategy, and execution of core capabilities for Epsilon Clean Room, our privacy‑first data collaboration platform. In this role you will lead through technical expertise, partner closely with product, architecture, and engineering stakeholders, and build scalable solutions that enable secure, data‑rich collaboration for enterprise clients.

Responsibilities

• Deliver large‑scale cloud‑native data platforms primarily on AWS using REST APIs, microservices, and event‑driven applications to build highly scalable and resilient systems.
• Work hands‑on across the technology stack, including Node.js, TypeScript, JavaScript, Express.js, AWS services, event‑driven architecture, and SQL/NoSQL databases, to solve complex engineering challenges and maintain platform excellence.
• Partner closely with global engineering, product management, architecture, and business stakeholders 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.
• Lead product‑wide technical initiatives focused on performance optimization, scalability, reliability, security, governance, and cost efficiency.
• Mentor and guide junior engineers, fostering a culture of innovation, accountability, collaboration, and technical excellence.

Qualifications

• Education: Bachelor’s degree in computer science, Information Technology, or a related technical field.
• Experience: 8+ years of software engineering experience designing, building, and maintaining large‑scale production applications.
• Architecture: Proven expertise in distributed systems, microservices design, and building robust REST APIs.
• Tech‑Stack: Strong hands‑on proficiency across the modern JavaScript/TypeScript ecosystem, including modern frontend frameworks (React, Next.js) and server‑side runtimes/frameworks like Node.js, Express.js, NestJS, or Fastify.
• Data: Comprehensive experience with event‑driven architectures and messaging technologies (Kafka, RabbitMQ, SNS/SQS), alongside broad proficiency across relational and NoSQL databases (PostgreSQL, SQL Server, Aurora, DynamoDB, MongoDB, Redis).
• Infrastructure: Deep experience building cloud‑native applications on a major cloud platform (AWS, Azure, or GCP), utilizing core services for object storage, serverless compute, API management, and event routing.
• DevOps: Experience with Infrastructure as Code (IaC) tools like Terraform or Ansible, CI/CD pipeline automation, and comprehensive testing strategies.
• AI: Practical experience leveraging agent‑assisted coding tools (Cursor, Claude Code) to optimize software delivery velocity without compromising on code quality.

Preferred Qualifications

• Education: Master’s degree in Computer Science, Information Technology, or a related technical field.
• Experience: 10+ years of software engineering experience building enterprise‑grade, highly scalable distributed systems.
• Data: Hands‑on experience with modern, big data platforms and processing frameworks such as Databricks, Snowflake, or PySpark.
• AI: Practical exposure to Generative AI architectures, including Large Language Models (LLMs), Retrieval‑Augmented Generation (RAG), and autonomous agentic systems.

Base Salary

Base Salary: $119,600.00 – $222,000.00 Annually

Compensation

Actual compensation within the range will be dependent upon, but not limited to the individual’s skills, experience, qualifications, location, and application employment laws. The salary pay range is subject to change and may be modified at any time.

Benefits

• 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

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 [e-mail] to request an accommodation.