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)
Cloud • Insurance • Payments • Software • Business Intelligence • App development • Big Data Analytics
Lead product marketing for Applied's carrier-facing portfolio: set strategy, positioning, brand architecture, launches, and GTM. Build and lead a PMM team, drive market/competitive intelligence, win/loss research, partner cross-functionally with Product, Sales, and Marketing, and report PMM-influenced metrics while championing AI-enabled tooling.
Top Skills:
Ai ToolingAnalyticsCytoraIvans
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Handle inbound insurance sales calls and warm leads, consult customers on Property & Casualty needs, recommend appropriate coverage, and convert leads into policyholders. Participate in paid training and obtain required licensing; work specified shifts and meet remote work connectivity and workspace standards.
Top Skills:
20 Mbps Upload)PcWired High-Speed Internet (100 Mbps Download
An Hour Ago
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Manage, investigate, and resolve attorney-represented auto and homeowner bodily injury claims. Evaluate coverage, liability, and damages; coordinate with trial counsel; prepare trial reports; ensure reserve adequacy; identify SIU and subrogation opportunities; handle claimant and witness communications; manage outside counsel billing and file security. Training attendance required.
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
