The Staff Software Engineer will design scalable data storage systems, mentor engineers, and ensure high-quality engineering processes while developing architecture and solutions for data processing systems.
As a Staff Software Engineer, you will take us beyond traditional monolithic SQL engines and batch pipelines. You will build the next generation of distributed data storage and processing systems. You will build systems that can scale indefinitely, and surpass traditional query performance, while making the interfaces for that data simple, expressive, and cleanly abstracted. Your interfaces will support a broad array of data consumers, from our web application, to business analytics, and artificial intelligence.
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 of production-level experience as an engineer building highly scalable and reliable infrastructure.
- Experience in designing, building and optimizing data pipelines and ETL processes.
- Proficiency in working with large datasets and knowledge of data storage technologies.
- Experience working with data ingestion systems and optimizing performance for handling large-scale data processing and analysis.
- Experience working with AWS technologies, Kafka etc.
- 6+ years of experience working with with CSS/HTML/Javascript and modern JavaScript frameworks (e.g., React, Angular, VueJs/Ember).
- In-depth knowledge of database systems.
- Familiarity with database replication, sharding and other techniques for scalability and high availability of databases.
- Experience in performance monitoring and optimization of data systems and infrastructure.
- Experience with containerization and orchestration technologies such as Docker and Kubernetes.
- Experience building continuous integration and continuous deployment(CI/CD) pipelines.
- Experience with security and systems that handle sensitive data.
- Knowledge of data security principles and ensuring compliance with regulations (e.g., GDPR, HIPAA) through proper data governance practices.
- Lead and mentor junior engineers, providing guidance and support in their professional development.
Physical Requirements:
- Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required.
Top Skills
Angular
AWS
Azure
C#
C++
CSS
Docker
GCP
Go
HTML
Java
JavaScript
Kafka
Kubernetes
Python
React
Scala
SQL
Vuejs
Similar Jobs
.png)
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Design and implement the core Risk platform architecture, manage projects, mentor team members, and write high quality code for Coinbase products.
Top Skills:
Backend Software EngineeringDistributed SystemsGoMachine Learning
Fintech • Software • Financial Services • Quantitative Trading
The C# Software Engineer will develop back-office systems, collaborate with stakeholders, troubleshoot problems, and document technical specifications.
Top Skills:
.NetBlazorC#C++JavaLinuxPythonSQLWindowsWpf
Fintech • Software • Financial Services • Quantitative Trading
The Data Engineer is responsible for designing and maintaining data pipelines, optimizing data systems, and collaborating with developers and analysts to ensure data quality and consistency.
Top Skills:
Apache AirflowC#/.NetLinuxPythonSQL
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
