Zeta Global

Lead Software Engineer, Opportunity Insights

Remote, United States remote Entry $190,000 - $205,000
remote Technology & IT Salary listed Curated
Sign in to apply Free account — we bring you straight back to this role.

About the role

WHO WE ARE
Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.
Position Overview
Zeta Global is seeking a Lead Software Engineer to join the Opportunity Insights team. This role is for a highly experienced engineer who operates at system and platform scope — someone who can define architecture, drive technical direction, and deliver scalable, data-intensive systems that power marketing intelligence products.
You will lead the design and evolution of distributed systems running on AWS and Kubernetes (EKS), enabling large-scale data processing and real-time insights across billions of data points. This role requires deep expertise in distributed systems, strong architectural judgment, and the ability to influence engineering standards across teams.
What You’ll Do
Define and evolve the architecture of scalable, distributed systems deployed on AWS.
Design and operate microservices and data-intensive workloads running in Kubernetes (EKS).
Lead technical design for systems that process and analyze large-scale datasets (high-volume, high-velocity, and high-variety data).
Establish patterns and best practices for building resilient, observable, and performant services.
Partner with Product, Data Science, and Engineering leaders to translate business strategy into long-term technical roadmaps.
Drive cross-team technical initiatives and influence architecture decisions beyond your immediate team.
Optimize data storage, retrieval, and processing strategies across relational and NoSQL systems.
Mentor engineers, raise the bar on design and code quality, and lead through technical example.
Take end-to-end ownership of critical platform components, ensuring long-term scalability and maintainability.
Requirements
8+ years of experience building and scaling production-grade distributed systems.
Strong foundation in computer science, distributed systems, and large-scale system design.
Proven experience architecting systems that operate on large datasets (event streams, batch + real-time pipelines, high-throughput services).
Deep hands-on experience with AWS, including EKS, EC2, S3, RDS, IAM, Lambda, CloudWatch, and infrastructure-as-code practices.
Strong expertise in Kubernetes (EKS) and containerized microservices architectures.
Experience with streaming and data infrastructure technologies such as Kafka, Elasticsearch, and NoSQL databases (e.g., Aerospike).
Strong proficiency in Java, Python, Ruby, or similar object-oriented languages.
Experience designing APIs and service communication layers (REST, gRPC, Thrift).
Demonstrated ability to lead technical design reviews and influence engineering direction.
Excellent problem-solving skills and ability to operate independently in a fast-paced environment.
Experience leveraging AI-powered development tools to improve engineering productivity.
Preferred Qualifications
BS or MS in Computer Science or related field.
Experience building platforms that support ML or advanced analytics workloads.
Experience modernizing or evolving legacy systems into scalable cloud-native architectures.
Track record of leading high-impact, cross-team engineering initiatives.
BENEFITS & PERKS
Unlimited PTO
Excellent medical, dental, and vision coverage
Employee Equity
Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!!
SALARY RANGE
The salary range for this role is $190,000 - $205,000, depending on location and experience.
PEOPLE & CULTURE AT ZETA
Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.
We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here: https://zetaglobal.com/blog/a-look-into-zetas-ergs/
ZETA IN THE NEWS!
https://zetaglobal.com/press/?cat=press-releases
Originally posted on Himalayas

Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Role
Technology & IT Data Analysis Python Software Engineer Opportunity remote

Likely questions

  1. Tell us about work you have done that is close to the Lead Software Engineer, Opportunity Insights role.
  2. How would you approach your first 30 days at Zeta Global?
  3. Which of Data Analysis, Python and Software have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you stay organised and communicate clearly when working remotely?

Prepare before the call

  • A recent example that proves your experience with Data Analysis, Python and Software.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Lead Software Engineer, Opportunity Insights role because I can bring practical experience in Data Analysis, Python and Software, learn the team quickly, and contribute to the outcomes Zeta Global needs from this hire.

Related jobs.

More roles from this company or category.