Original listing text, shown exactly as published by the company.
What will I need to thrive in this role?
- Bachelor's or Master’s degree in Software Engineering, Computer Science, or a related field.
- 10+ years of professional software development experience.
- Broad understanding of coding and programming languages.
- Experience with database design and data modeling.
- Extensive knowledge of the software development process and corresponding technologies.
- Excellent understanding of design patterns and architectural styles.
What does high performance look like?
- Project Completion: Successfully designing and maintaining complex APIs and third-party integrations that handle massive data flows without downtime.
- Execution: Achieving measurable improvements in the throughput and stability of the marketplace core services.
- Team Impact: Inspiring confidence through technical leadership and creating relationships of trust through effective mentoring and coaching.
- Team of Doers: Taking proactive initiative to help the team in any circumstance and holding oneself accountable to both the team and global partners.
What is my potential for career growth?
- Gain deep exposure to global marketplace APIs (Amazon, Walmart, etc.) and solve world-class scaling challenges.
- Broaden technical expertise by working on the "engine room" of Pattern, impacting millions in daily inventory movement.
- Build a massive internal network by collaborating cross-functionally with senior leadership and global business teams.
What does success look like in the first 30, 60, 90 days?
- 30 Days: Complete onboarding, understand the Marketplace Core architecture, and begin contributing to high-quality code reviews.
- 60 Days: Take ownership of a specific integration feature and lead a small sprint cycle from design to delivery.
- 90 Days: Identify and implement a significant architectural improvement or performance optimization for the core data pipeline.
What is the team like?
- This role reports directly to the Associate Director of Engineering. You will be joining a small, scrappy, autonomous team of professionals. In this role, you will collaborate closely with Software Engineers, Product Managers, and Program Managers as well as other departments including Engineering and Sales. This position is mentored by Engineering Leadership.
We are looking for individuals who are
- Game Changers- A game changer is someone who looks at problems with an open mind and shares new ideas with team members, regularly reassesses existing plans and attaches a realistic timeline to goals, makes profitable, productive, and innovative contributions, and actively pursues improvements to Pattern’s processes and outcomes.
- Data Fanatics- A data fanatic is someone who recognizes problems and seeks to understand them through data, draws unbiased conclusions based on data that lead to actionable solutions, and continues to track the effects of the solutions using data.
- Partner Obsessed- An individual who is partner obsessed clearly explains the status of projects to partners and relies on constructive feedback, actively listens to partner’s expectations, and delivers results that exceed them, prioritizes the needs of your partners, and takes the time to create a personable experience for those interacting with Pattern.
- Team of Doers- Someone who is a part of a team of doers uplifts team members and recognizes their specific contributions, takes initiative to help in any circumstance, actively contributes to supporting improvements, and holds themselves accountable to the team as well as to partners.
What is the hiring process?
- Initial phone interview with Pattern’s talent acquisition team.
- Technical Interview with a member of the team.
- Video interview with a hiring manager.
- Onsite interviews with Engineering leaders (including a system design session).
- Professional reference checks.
- Executive review.
- Offer.
How can I stand out as an applicant?
- Previous experience in E-commerce or AdTech, specifically with Amazon SP-API or Walmart Marketplace APIs.
- Experience with NoSQL databases like MongoDB or DynamoDB.
- Familiarity with containerization and orchestration using Docker and Kubernetes.
