What are the responsibilities and job description for the Senior Software Engineer, Analytic AI Startup (Static Analysis Platform) position at Focus Capital Markets?
Focus Capital's startup AI partner closed on over $30M in funding to end 2024 , and with an array of A-list name brand clientele under its banner, the company continues to exceed expectations. Using natural language processing, workflow automation, and infrastructure integrations, our partner has cultivated the flagship AI data protection, privacy, governance and compliance platform from the ground up.
In 2025, we are looking to introduce a rock star senior software engineer with extensive experience in developing code analytics platforms in Python and / or Golang . In this role, you will architect, design and develop platforms that empower code analysis in real-time that protects the integrity of all code deployed within our ecosystem . This includes the simultaneous development of multiple microservices across multiple technical environments. You will
You will also partner with our team of data scientists and machine learning professionals to scale their ML models and analytic algorithms and productionize large language models. Some of these will be used to optimize code vulnerability protections.
You would be joining a rapidly growing and already thriving company that operates as a startup despite having numerous Fortune 500 clients. We will only accept candidates who are 100% hands-on and don’t have any issues being tech’d out in the process
Minimum Qualifications :
- 5 years of experience programming in Python or Golang (must be willing to work with new technologies that emerge and are relevant to the stack scalability).
- Prior experience developing code analysis products or compiler tools
- Understanding of test driven development
- Expertise in data structures and algorithmic development.
- Interest in Gen AI and Machine Learning
- Tangible experience working with ETL, relational databases, SQL, NoSQL or MongoDB.
- Prior professional experience with cloud environments (i.e. AWS, GCP, Azure)
- Familiarity with DevOps technologies and container tools (i.e. Kubernetes, CodeFresh, ArgoCD).
- Messaging services like Kafka or Google's pub / sub offering is a plus
- Experience with Databricks is a plus
- A bachelors or higher in computer science or a related field
- Must have excellent communication skills.
- Prior startup experience is a plus
