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Senior Software Engineer, Big DataZillow • New York, New York, United States
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Senior Software Engineer, Big Data

Zillow
  • US
    New York, New York, United States
  • US
    New York, New York, United States
Jetzt Bewerben

Über

About The Team At Zillow, data is one of our most valuable assets in helping customers unlock life’s next chapter. The Data Platform organization enables teams across Zillow to use that data efficiently, securely, and at scale.
About The Role This is an opportunity to shape the future of Zillow’s real‑time data platform and the experiences we deliver to customers. As a Senior Software Engineer, Big Data on the Streaming team, you will design and evolve the streaming infrastructure that hundreds of internal services rely on every day.
You will independently lead the design and evolution of distributed streaming systems, control planes, and developer tooling with a focus on scalability, reliability, and long‑term platform sustainability.
This role has been categorized as a Remote position. Remote employees work from a physical location of their choice, with U.S. employees allowed to live in any of the 50 states (with some exceptions).
In California, Connecticut, Maryland, Massachusetts, New Jersey, New York, Washington state, and Washington DC the standard base pay range for this role is $160,900 - $257,100 annually. In Colorado, Hawaii, Illinois, Minnesota, Nevada, Ohio, Rhode Island, and Vermont the standard base pay range is $152,900 - $244,300 annually. The base pay range is specific to these locations and may not be applicable to other locations. Employees in this role will not be paid below the salary threshold for exempt employees in the state where they reside.
In addition to a competitive base salary, this position is also eligible for equity awards based on factors such as experience, performance and location.
You Will Get To
Design, build, and operate large‑scale Kafka and Flink infrastructure supporting tier‑0 and tier‑1 workloads.
Lead critical initiatives in our streaming platform modernization, including platform architecture evolution.
Develop and enhance streaming control planes, APIs, CLIs, and provisioning systems that standardize how teams create and operate streaming resources across Zillow.
Improve platform reliability through SLO definition, monitoring, alerting, incident response, and automation.
Enable simplified stream processing patterns for product and engineering teams, reducing the need for bespoke infrastructure or specialized expertise.
Evaluate and integrate modern streaming ecosystem capabilities, including managed Kafka offerings, serverless stream processing, and real‑time AI integration patterns.
Make high‑quality architectural decisions under ambiguity, balancing reliability, cost, performance, and developer experience across competing priorities.
Mentor engineers and contribute to raising the bar on distributed systems design, operational excellence, and long‑term platform strategy.
Who You Are
5+ years of experience building and operating large‑scale distributed systems, including independently owning critical production systems end to end.
Significant production experience with Kafka and/or Flink, including performance tuning, state management, scaling strategies, and operational incident resolution.
Proficiency in at least one programming language such as Python, Java, or Scala.
Experience operating services in cloud environments (e.g., AWS) and working with container orchestration platforms like Kubernetes.
Experience designing scalable, multi‑tenant systems with reliability, cost efficiency, and observability in mind.
Experience defining and operating against SLOs, participating in on‑call rotations, and leading incident response efforts.
Familiarity with infrastructure‑as‑code tooling such as Terraform and CI/CD systems.
Strong systems design skills, including the ability to reason about consistency, state management, fault tolerance, and throughput.
Experience collaborating across platform and product teams to define boundaries, contracts, and integration patterns.
We value candidates with non‑traditional backgrounds and encourage you to apply if you have transferable skills or related experiences.
Preferred Qualifications
Experience working with streaming vendors (e.g., Confluent, MSK, Redpanda) or modernizing legacy Kafka/Flink infrastructure.
Demonstrated experience leading system design efforts for complex, multi‑team platform initiatives.
Experience integrating streaming systems with analytics platforms such as Databricks or building real‑time context engineering capabilities for AI systems.
Background in reliability engineering or platform engineering.
Get to Know Us At Zillow, we’re reimagining how people move—through the real estate market and through their careers. As the most‑visited real estate platform in the U.S., we help customers navigate buying, selling, financing and renting with greater ease and confidence.
Zillow is honored to be recognized among the best workplaces in the country. Zillow was named one of FORTUNE 100 Best Companies to Work For® in 2025, and included on the PEOPLE Companies That Care® 2025 list, reflecting our commitment to creating an innovative, inclusive, and engaging culture where employees are empowered to grow.
No matter where you sit in the organization, your work will help drive innovation, support our customers, and move the industry—and your career—forward, together.
Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact your recruiter directly.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state and local law.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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  • New York, New York, United States

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  • English
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