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
Healthtech • Other • Social Impact • Software • Telehealth
As a Staff AI Engineer, you'll lead AI product development, overseeing technical direction, system deployment, and model evaluation while collaborating across teams.
Top Skills:
AnthropicAWSBedrockDspyFaissGCPGeminiGoHaystackJavaJavaScriptLangchainLlamaindexMilvusOpenaiPineconePythonTypescriptWeaviate
AdTech • Artificial Intelligence • Marketing Tech • Software • Analytics
Design and develop backend services and APIs for identity resolution, optimize event-driven systems, and enhance system reliability. Mentor engineers and influence architectural decisions.
Top Skills:
AerospikeAWSCouchbaseEksFlinkHbaseHelmHiveJavaKafkaKubernetesPythonScalaScyllaSnowflakeSparkSQL
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
