This is an hybrid role based in Bangalore, India with the team working together in person 2 days per week.

About Galileo

Galileo is the leading platform for Gen AI evaluation and observability, with a mission to democratize building safe, reliable and robust applications in the new era of AI powered software development. Our foundation is built on pioneering the early technology behind the world's most ubiquitous AI applications including Apple's Siri and Google Speech. We firmly believe that AI developers require meticulously crafted, research-driven tools to create trustworthy and high-quality generative AI applications that will revolutionize our work and lifestyle.

Galileo addresses the complexities inherent in implementing, evaluating, and monitoring GenAI applications, optimizing the development process for both individual developers and teams by offering a comprehensive platform that spans the full AI development lifecycle. Galileo bridges critical gaps, significantly enhancing developers' ability to refine and deploy reliable and precise GenAI applications.

Since its inception, Galileo has rapidly gained traction, serving Fortune 100 banks, Fortune 50 telecom companies, as well as AI teams at prominent organizations such as Reddit and Headspace Health, among dozens of others.

Galileo has AI research at its core, with the founders coming from Google and Uber where they solved challenging AI/ML problems in the Speech, Evaluation and ML Infra domains. It is now a Series B business backed by tier 1 investors including Battery Ventures, Scale Venture Partners, and Databricks Ventures, with $68M in total funding. We are headquartered in San Francisco with locations such as New York and Bangalore, India forming our areas of future growth.

About the role

You'll be responsible for the backbone that powers Galileo’s platform. This role is all about solving hard systems problems at scale and making our infrastructure resilient, fast, and reliable. We're seeking a talented software engineer excited to work on the backbone of the Galileo platform. The ideal candidate is someone who has built large-scale real-time infrastructure, services, and APIs that scale to millions of queries, addressed challenges that come with systems of scale, worked on and optimized high throughput traffic on SQL and NoSQL data stores, time-series databases and/or Object stores, has operated large scale messaging systems, CI/CD frameworks, load testing frameworks, caching infrastructure and anything else that is needed for a Product/Feature team in terms of a highly scalable Platform.

What you'll be doing

• Build and scale core infrastructure – design and optimize distributed systems and APIs that handle millions of real-time queries with low latency and high reliability.
• Develop data-intensive systems – work across SQL, NoSQL, time-series, and object stores, ensuring data pipelines and lookups are optimized for throughput and efficiency.
• Optimize performance at scale – profile and tune systems for latency, throughput, and cost, ensuring the platform can grow with customer demand.
• Work on real-time serving systems – design high-throughput caching layers and data lookup services to enable fast, reliable access to large-scale datasets.
• Build and extend pub-sub and orchestration frameworks – leverage and improve systems like Kafka, RabbitMQ, and Celery to coordinate workloads and streaming data pipelines.
• Design internal developer tooling – create load testing, benchmarking, and performance analysis tools that help us and our customers understand and trust the system.
• Collaborate cross-functionally – partner with product, research, and application engineering teams to ensure the platform can support new capabilities, models, and workloads.

Minimum Qualifications

• 4+ years of experience building scalable platforms and/or real-time machine learning systems

• Strong experience building large scale and complex distributed systems
• Experience building backends for real-time services in Python
• Experience working with systems like Docker and Kubernetes
• Experience building applications on cloud environments such as AWS, GCP, Azure.
• Excellent communication skills for collaborating with cross-functional partners
• A startup mindset, biasing towards thoughtful action with minimal direction. 

Preferred Qualifications

• Engaged in all steps of the product development process, working cross-functionally with a product manager, designer, user researcher, and data scientist 

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.