Senior Software Engineer - ML Backend

About the role

As an early engineer at Galileo, you will play a foundational role in designing, building, and scaling our products and team. We’re looking for an exceptional Senior Software Engineer, interested in solving complex problems at the intersection of Data and ML and passionate about the opportunities in Observability and Reliability for GenAI.

What you'll be doing

• Technical Design and Architecture - you will champion for the right scalable, reliable architecture and obtain buy-in from all the stakeholders
• Planning and Execution -  you will work with your team to help plan the roadmap and execute it
• PR and Design Reviews - you will uphold the engineering excellence/quality bar by reviewing your peer’s PRs
• Collaboration - you will collaborate closely with Product Managers, designers and other TLs to ensure we are building the right strategy and leveraging each other’s work.
• Advance Engineering - you will participate in design reviews, on-call and support, participate in and present during Tech Talks and learning sessions & help interview other engineering candidates

What we're looking for

• 5+ years of experience building Data or AI/ML products
• Experience building APIs in Python (FastAPI preferred)
• Experience building large scale distributed systems and familiarity with 
• • Messaging and Pub-Sub systems such as RabbitMQ/Kafka
  • Storage/database systems similar to Postgres, MongoDB, Cassandra, S3
  • OLAP systems such as ClickHouse, Pinot
  • Orchestration systems such as Celery
• Experience building test suites using frameworks such as PyTest/PyUnit
• Experience working effectively during the product development process, working cross-functionally with a product manager, designer, user researcher, and data scientist 
• Excellent communication skills for collaborating with cross-functional partners
• High productivity and care to help teams collaborate more effectively and efficiently
• A startup mindset, biasing towards thoughtful action with minimal direction.

Bonus Points

• Experience working with Docker and Kubernetes.
• Experience building applications on at least one of AWS, Google Cloud, or Microsoft Azure.
• Experience building customer facing products with ML frameworks (like PyTorch, Tensorflow, Keras, etc)
• Experience building agentic applications (like LLMs, rags, agents, etc.) with common frameworks (like OpenAI, langChain, crewAI, etc.)

Why Galileo

• Join a seasoned founding team that has previously led product and engineering teams from 0 to $100M+ in revenue and from 0 to 1B+ users globally
• We obsess over our team’s culture driven by inclusivity, empathy and curiosity
• We invest in our team’s development and happiness because our employees are the keys to our success and ensuring happy customers – towards that end, we offer: 
• • 🏥 Medical, Dental and Vision Insurance
  • 🌴 Unlimited PTO
  • 👶 Parental Leave (birthing & non-birthing) - 100% pay for 8 weeks
  • 💰 401(k) Retirement Savings Plan
  • 📈 Pre-IPO Stock Options
  • 🚌 Commuter Benefits (pre-tax + company sponsored)
  • 🧘‍♂️ Mental & Physical Wellness Stipend
  • 🍱 Catered Meals on in-office days
  • 🏢 HQ in Burlingame + hub in NYC + hub in Bangalore
  • 🤝 Build the company alongside the Founders 

*Benefits/perks may vary by state, country and employment type - please reach out to your recruiter for more information.

Galileo is an equal opportunity employer supporting workforce diversity. We do not discriminate on the basis of race, religion, color, national origin, gender identity, sexual orientation, age, marital status, protected veteran status, disability status, or any other unlawful factor.

Galileo is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request accommodation due to a disability, please inform your recruiter.

Galileo is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. The total compensation package for this position may also include eligibility for commission, equity, and company sponsored benefits/perks.

• The annual pay range for this role is $180,000 - $225,000 USD.

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