About Savant Labs, Inc

Savant is a rapidly growing (Series A: $18M) SaaS company focused on building an all-in-one platform for analytics automation. We aim to transform the way business analysts build, automate, and share analytics projects. With a dynamic and rapidly scaling platform, we’re building solutions in areas like job scheduling, resource provisioning, and more to empower our users to extract timely and reliable business insights.

The founding team has worked together for 5+ years and has a deep background in the analytics and software space, with successful ventures including Lattice Engines (acquired by D&B), Drawbridge (acquired by LinkedIn), and more. We’re growing fast and looking for talented individuals to join our team!

About the role

• We are seeking a passionate Senior Software Engineer to join our dynamic platform team. This role will focus on designing, building, and maintaining our analytics automation platform which includes the orchestration framework & the execution engine.
• This is an excellent opportunity to work on exciting technical challenges and solve hard problems in the distributed data processing space while maintaining enterprise grade performance, scalability, and reliability.
• This role offers the opportunity to push boundaries in agentic system design, developing intelligent capabilities powered by LLMs, memory, and context-aware workflows. If you're excited about distributed systems and agent-powered automation—this is a rare opportunity to work on both.

• Shape the future of analytics automation in a company where innovation and ownership are valued
• Work on cutting-edge platform and AI technologies—at the intersection of data, orchestration, and autonomy
• Be part of a globally distributed team built on trust, speed, and collaboration.
• Enjoy a remote-friendly culture with flexible work arrangements and a strong focus on impact over hours

What you'll do

• Develop key platform features such as job scheduling, orchestration, execution engine and resource management
• Write clean, efficient, and well-documented code while adhering to industry standards & best practices
• Investigate and resolve issues in the platform to ensure reliability, scalability and performance
• Work closely with cross-functional teams, including product managers and designers, to contribute to feature definitions and implementation
• Continuously improve your technical skills by working alongside experienced team members and participating in technical discussions

Required Qualifications

• Proficient in Java or similar object-oriented programming languages
• Familiarity with developing and deploying enterprise applications in cloud platforms (e.g., AWS, GCP, Azure)
• Understanding of distributed systems or microservices architecture
• Problem-solving skills with the ability to debug and troubleshoot distributed systems issues in a cloud environment

• 5+ years of experience in full time agile software development roles
• Experience with owning features end to end from design and development through deployment and production support

• Strong communication skills and a collaborative mindset
• Enthusiasm for learning new technologies and solving complex problems
• Ownership of assigned tasks with attention to detail
• A proactive approach to challenges with a growth-oriented mindset
• Willingness to learn from and collaborate with other team members

Additional Preferred Qualifications

• Experience with the Spring ecosystem frameworks in Java
• Experience with large scale distributed data processing technologies like Spark and query engines like Trino
• Experience with data analytics
• Experience with CI/CD pipelines and DevOps practices
• Experience with resource management frameworks like Airflow or Argo
• Knowledge of agentic application principles, including knowledge extraction from unstructured data, short-term/long-term memory design and vector-based context management
• Experience with prompting frameworks (e.g., ReAct, CoT), multi-agent orchestration frameworks (e.g. AutoGen, CrewAI), agent communication protocols (e.g. A2A, MCP)
• Familiarity with embedding models, vector stores, and grounding techniques is a plus