Join a world-class team to deliver game-changing AI prediction technologies to financial market participants.
infima is a capital market technology startup building transformative prediction services for the $25T credit market. Our disruptive deep learning technologies deliver actionable predictions of borrower, security and market behavior that set new accuracy and latency standards in the market. Our predictions provide new, performance-boosting edges for investors and dealers, thus making them a must-have for many market participants. We are backed by leading venture capital and strategic investors.
Head of Engineering
Who you are
A seasoned, startup-centric Head of Engineering, who can be a player, a coach and a sounding board of a multi-disciplinary engineering.
You understand the importance of reliable monitoring, deployment strategies, and a highly scalable and robust cloud infrastructure
You have experience designing, building, and running engineering teams that have focused on the previous bullet points.
You can quickly iterate with product and design teams as part of a tight user-validated feedback loop and have experience in agile and ability to work with product to define a version-based roll out scenarios
You have experience with best practices and patterns that allow the most skilled engineering teams to communicate effectively and deliver quickly and regularly.
What you’ll do:
You will help your team build problem-solving skills by practicing reflective listening, asking good questions, and giving timely, direct, and kind feedback and encouragement.
Recruit, engage, and retain great problem-solvers and collaborators.
Roll up your sleeves to create new processes and keeps up with the industry trends and
identify new tools to use to solve technical problems.
Manage risks, dependencies, and tradeoffs inevitable in complex project delivery
Work hand-in-hand with technical leads and experts
Requirements:
Data Engineering: experience with Python, Prefect, Dask, Parquet, AWS (S3, Glue/Athena, RDS)
Core/Full-Stack Engineering: experience with AWS, Docker, Kubernetes, Gitlab CI, Terraform, Golang (Google Protobuf), Postgesql, TimescaleDB, React, Redux
Experience with microservices
Expert-level understanding of engineering best practices for full software development life cycle, including coding & security standards, code review, source control, build, QA, deployment and development operations (Prior, hands-on experience as an engineer required).
Broad knowledge of programming languages, software architecture, design and advanced data systems.
Bring a high level of technical expertise, guidance, and strategic decision making to key areas including web infrastructure, microservices architecture, machine learning, and its orchestration, data pipelines, DevOps, CI/CD, internal tools
Nice-to-haves:
Experience working in a startup environment or a fintech company
Experience building APIs geared towards developers/financial institutions
Experience with HTTP APIs, scalable cloud infrastructure (AWS preferred), Internet
Security & Privacy mechanisms, Microservices Orchestration experience, Kubernetes
Prefer-nots:
You may not be a good fit, if you have:
Primarily large enterprise experience
Mobile experience only
Primary FE experience
Long gap since picking up a shovel