Senior Software Engineer

About PointFive

PointFive is the AI Efficiency OS. From the cloud to the coding agent, we're the only platform that manages AI spend everywhere it happens.

Engineering and FinOps teams use PointFive to make their organizations more efficient and their cloud and AI more effective. We don't just show what you spend. We show what you're wasting, and we fix it autonomously. NuBank saw ROI in 10 days. Customers average 1,200%+ ROI and a 4.9 rating on G2.

Founded by the team behind IntSights (acquired by Rapid7), PointFive recently closed a $60M Series B led by Accel, with participation from Entrée Capital and Salesforce Ventures.

About The Role

We are looking for an exceptional, hands-on technical engineer to join our core engineering team. In this role, you will operate as a true force multiplier and a technological anchor for the company.

You will have the flexibility to drive high-impact initiatives from conception to production, own complex technical and AI domains end-to-end, or guide and level up a focused delivery team. You thrive in ambiguous environments, operate with a high level of autonomy, and possess a natural ability to foster collaboration, align technical stakeholders, and elevate engineering standards across the R&D organization.

What You'll Do

• Drive Strategic Initiatives: Lead complex technical projects, AI feature developments, and core architectural components with an absolute "ownership" mindset.
• Architect for AI & Data at Scale: Design robust, scalable infrastructures and pipelines capable of handling massive volumes of cloud infrastructure data.
• Bridge Product, AI & Tech: Collaborate closely with Product Managers and data specialists to translate business roadmaps into concrete, high-performance technical systems.
• Promote Engineering Excellence: Establish development guidelines, lead design and architecture reviews, and raise the bar for code quality across teams.
• Mentor & Guide: Act as a technical mentor to fellow engineers, guiding them through hands-on collaboration, deep code reviews, and architectural consultation.
  
  

• 8+ years of experience in backend software engineering, with a proven track record of designing, building, and operating large-scale cloud production systems.
• Strong Coding Fundamentals: Proficiency in backend technologies such as Go, Python, Java, etc..
• AI Engineering Culture: Experience with leveraging AI coding agents (e.g - Claude Code) and implementing AI-oriented workflows to enhance team productivity and code quality.
• Deep Cloud & Ecosystem Expertise: Production-grade experience with AWS, containerization (Kubernetes/Docker), microservices, and distributed databases/data warehouses (e.g., PostgreSQL, Snowflake).
• AI & Data Infrastructure Experience: Practical experience working with large data volumes, data pipelines, or integrating AI/LLM technologies into production environments.
• Proven Technical Leadership: Demonstrated experience leading technical workflows, driving complex cross-team initiatives, or acting as a full-lifecycle domain owner.
• Extreme Autonomy: A true independent operator who thrives in fast-paced environments, solves problems from end to end, and proactively pushes initiatives forward.
• Strong Collaboration & Alignment Skills: Ability to build technical consensus, inspire peers, and drive alignment across different stakeholders.