Lead refactoring and optimization of scalable data pipelines, design next-generation distributed storage and processing systems, build clean interfaces for diverse data consumers, mentor engineers, and establish engineering standards and processes.
As a Staff Software Engineer, you will lead the evolution of our backend architecture, with a primary focus on refactoring and optimizing existing data pipelines. You will drive the development of next-generation distributed data storage and processing systems designed to scale indefinitely and surpass traditional query performance. Beyond modernization, you will design clean, expressive interfaces that abstract complexity for a wide range of data consumers—from core web applications to advanced business analytics and AI. Your expertise will be instrumental in transforming our infrastructure into a robust, high-performance foundation.
Primary Duties:
- Identify and develop scalable and performant solutions.
- Work across discipline to shape product strategy and execution.
- Develop the foundations of code architecture and quality.
- Mentor and coach engineers.
- Set and uphold the standard for engineering processes to support high-quality engineering.
Minimum Qualifications:
- BS/BTech (or higher) in Computer Science, Engineering or a related field required.
- 8+ years of production-level experience as an engineer building highly scalable systems.
- 4+ years of experience acting as a trusted technical decision-maker in a team setting, solving for short-term and long-term business value.
- 4+ years of experience working with SQL or other database querying languages on large multi-table data sets.
- Experience architecting, developing, and deploying large-scale distributed systems at scale.
- Experience with cloud technologies, e.g., AWS, Azure, GCP.
- Experience building continuous integration and continuous development (CI/CD) pipelines.
- Strong familiarity with server-side web technologies (eg: Java, Python, Scala, C#, C++, Go).
Preferred KSAs:
- 8+ years experience building highly scalable and reliable infrastructure.
- Expertise in designing, optimizing, and orchestrating robust data pipelines (ETL/ELT) and ingestion systems for large-scale, real-time, and batch processing.
- Experience managing data warehouses (e.g., Snowflake, Redshift) and leveraging analytics tools (e.g., Spark, SQL, Python, Databricks).
- Hands-on experience with containerization (Docker, Kubernetes), CI/CD pipelines, and distributed architectures (event-driven, in-memory computing).
- Deep proficiency with modern database systems, including replication, sharding, partitioning, indexing, and caching strategies for high-performance query optimization.
- Strong understanding of data security, governance, and compliance principles.
- Experience with infrastructure monitoring, performance optimization, and active participation in architecture reviews.
Physical Requirements:
Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required.
Similar Jobs
.png)
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
Own a local territory through highly field-driven, full-cycle sales. Generate pipeline via in-person outreach, networking, events, and partnerships; conduct demos; close deals; build seller relationships; support onboarding; and exceed quota. The role focuses on selling Square’s integrated commerce, software, hardware, and financial services solutions to restaurants, retailers, and service businesses while maintaining accurate Salesforce activity, forecasting, and pipeline management.
Top Skills:
Salesforce
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
Coordinate cross-functional product go-to-market programs from planning through launch, adoption, and optimization. Build project plans, operating mechanisms, launch documentation, feedback loops, status updates, and decision logs. Partner with Product, Sales, Marketing, Enablement, Analytics, Finance, and leadership to align stakeholders, manage dependencies, identify blockers, and improve execution. Translate operational data and customer or field feedback into clear priorities and recommendations.
Artificial Intelligence • Cloud • Information Technology • Sales • Security • Software • Cybersecurity
Own and expand strategic enterprise accounts across Ohio, generating net-new business and growing existing revenue. Develop sophisticated sales strategies, engage senior technical and business executives, negotiate complex agreements, and exceed revenue targets. Partner with Sales Engineering, Customer Success, Sales Operations, and channel stakeholders to deliver tailored cybersecurity solutions and long-term customer value. The role requires strong SaaS and cybersecurity expertise, executive communication, independent territory management, and travel up to 50%.
Top Skills:
CloudCybersecurityGongLinkedin Sales NavigatorSaaSSalesforceSalesloftZoominfo
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
