eBay Logo

eBay

Full Stack Engineer, Batch Operations

Posted 4 Hours Ago
Be an Early Applicant
In-Office
Austin, TX, USA
98K-174K Annually
Mid level
In-Office
Austin, TX, USA
98K-174K Annually
Mid level
As a Full Stack Engineer on the Batch Operations team, you'll improve eBay's platform for workflow automation, develop monitoring capabilities, implement CI/CD pipelines, and ensure data compliance.
The summary above was generated by AI

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.

Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet.

Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.

About the team and the role:

The Batch Operations team is at the center of how eBay’s global marketplace runs critical workflows at scale. As we modernize our Batch Platform from Broadcom Automic to Apache Airflow, we are building “Airflow as a Service” to empower hundreds of internal teams to orchestrate thousands of workflows across multiple marketplace domains.

In this Full Stack, platform-focused Software Engineer role, you will design and evolve the services, tools, and infrastructure that power eBay’s batch workflow automation.

What you will accomplish:

  • Develop, build, and improve the core services driving eBay’s workflow automation platform so it is reliable, scalable, and easy to embrace for thousands of internal applications.

  • Develop deep observability and monitoring capabilities that give partners clear insights into DAG and task execution, system health, and performance, improving incident detection and resolution times.

  • Create AI-powered tools and automation that streamline platform engineering workflows, reducing manual toil and accelerating how internal teams build, deploy, and operate their batch workloads.

  • Implement and continuously improve CI/CD pipelines (e.g., Jenkins, Tekton) that enable fast, safe, and repeatable releases of platform components across development, staging, and production.

  • Build, harden, and maintain containerized environments (Docker, Kubernetes), image repositories, and runtime infrastructure to ensure secure, performant, and compliant batch services.

  • Work alongside security, compliance, and engineering departments to ensure the platform meets eBay’s data protection, auditing, and regulatory standards. Support ongoing modernization to Apache Airflow.

What you will bring:

  • Proven full stack or backend engineering experience, with strong skills in Java and Spring Boot for services and REST APIs; experience with Node.js, Python, or shell scripting, and familiarity with modern frontend frameworks (such as React or Angular) is a plus.

  • Proven understanding of computer science fundamentals, including data structures, algorithms, design patterns, and layered architectures, and how to apply them to build reliable platform services.

  • Hands-on experience with software delivery practices such as unit and integration testing, build tools (for example, Maven, npm), logging, and supervising in production environments.

  • Exposure to workflow orchestration or automation technologies like Apache Airflow or DAG-based systems is required. Interest in crafting Airflow as a Service at enterprise scale is also needed.

  • Practical experience with modern DevOps and platform engineering, including Docker, Kubernetes, CI/CD, and Tekton or similar tools, plus an understanding of security, patching, and vulnerability management for containerized workloads.

  • Curiosity and learning approach, with excellent communication and collaboration skills, and experience or strong interest in AI/ML-enabled tooling (for example, MCP servers, AI agents, LLMs, or ML models) to improve engineering efficiency.

#LI-BB1

Additional Details

The base pay range for this position is expected in the range below:

$98,000 - $173,600

Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

If hired, employees will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at [email protected]. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

We use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process. To learn how we handle your personal data and use AI responsibly, please visit our Talent Privacy Notice, Privacy Center and AI Hiring Guidelines.

Top Skills

Angular
Apache Airflow
Ci/Cd
Docker
Java
Jenkins
Kubernetes
Node.js
Python
React
Rest Apis
Spring Boot
Tekton

eBay Austin, Texas, USA Office

7700 W Parmer Ln, Building D, Austin, Texas, United States, 78729

Similar Jobs

4 Hours Ago
Easy Apply
Hybrid
Austin, TX, USA
Easy Apply
80K-150K Annually
Senior level
80K-150K Annually
Senior level
Computer Vision • Hardware • Machine Learning • Robotics • Software
The Staff Mechanical Engineer will support structural integrity through simulation, optimize mass, and guide FEA challenges, collaborating across teams to ensure robotics designs meet performance standards.
Top Skills: AbaqusAnsysSimcenter
4 Hours Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
120K-144K Annually
Senior level
120K-144K Annually
Senior level
eCommerce • Healthtech • Kids + Family • Retail • Social Media
The Continuous Improvement Manager will enhance Babylist's fulfillment and logistics by driving efficiency through data analysis, process redesign, and cross-functional collaboration, ensuring operational excellence and cost-effectiveness.
Top Skills: Data Visualization ToolsExcelOmsProject Management ToolsSQLTmsWms
4 Hours Ago
Hybrid
Austin, TX, USA
150K-165K Annually
Senior level
150K-165K Annually
Senior level
Artificial Intelligence • Fintech • Machine Learning • Mobile • Payments • Retail • Software
The Senior Strategic Partnerships Manager will manage Upside's partner distribution network, oversee strategic relationships, ensure performance, promote growth, and address partner concerns to reduce churn risk.

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account