Staff Software Engineer (Calculation Engines)
Posted Updated
Description
- We are currently seeking a Staff Software Engineer to join the Calculation Engines team which operates the critical servers, caching layers, and communication protocols which power Addepar’s financial analytics and reporting product
- More than 95% of all Addepar traffic flows through this infrastructure; you will be responsible for the next generation of development, tooling, and CI/CD systems which empower Addepar to serve our clients
- Design and build distributed microservice components in Addepar’s calculation engine - a data intensive application
- Scale our Java-based calculation engine to 100x larger workloads using best-of-breed time series analytics database technologies
- Get involved in the decision process to make the best decision to scale with the consideration of data consistency, throughput, speed, operability and cost
- Profile and improve system efficiency in a highly concurrent platform
Benefits
- Equity: Stretch the idea of ownership beyond your day-to-day and take pride in being an owner in the growth of Addepar
- Global Hybrid Workforce: Whether you work remotely or on-site, you’ll have the opportunity to build and collaborate with colleagues around the world
- Flexible Time Off: Spend time traveling, celebrating with friends and family or relax on your schedule
- Benefits Packages: Competitive medical, dental and vision benefits along with a monthly wellness allowance to keep you healthy and happy
- Learning & Development Allowance: Your continued growth and development are important to us
- Dynamic Team: Strong investment in the best talent at the intersection of technology and finance
- Excellent written and verbal communication skills
- Linux proficiency, basic shell scripting and a solid grasp of systems level programming is a plus
- Experience with Object Oriented programming languages
- General familiarity with some of the technologies we use:
- Java, Python, SQL, SQS, relational databases and key-value stores
- Ability to explore complex problems spaces objectively from multiple points of view, utilizing both legacy tools and modern technologies to drive outcomes
- Kubernetes
- 7+ years of software engineering or equivalent experience
