A talented software engineer excited to work on the backbone of the Galileo platform. We are looking for 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.

You Have

Experience with large scale distributed systems
Experience with NoSQL databases and time-series databases
Worked on real-time high throughput caching systems
Excellent python programming skills
Worked with raw-data lookup indexes such as Lucene and/or similar frameworks
Experience with runtime orchestration and pub-sub frameworks like RabbitMQ, Celery, Kafka
Built low-latency data lookup APIs
Done extensive performance optimizations
Built internal tooling foundations for performance testing, load testing and benchmarking

Bonus Skills

Experience with
time-series or columnar databases
(e.g., ClickHouse, TimescaleDB, DuckDB)
Familiarity with
distributed query engines or streaming frameworks
(Presto, Trino, Flink, Spark Streaming)
Hands-on with
container orchestration and scaling systems
(Kubernetes, EKS)
Experience building
observability and performance tooling
(Grafana, OpenTelemetry, flame graphs)

What will this role work on/get to do

Youll 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.

In this role, you will:

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.

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:

Unlimited PTO
Parental Leave (birthing non-birthing) 100% pay for 8 weeks
Pre-IPO Stock Options
Commuter Benefits (pre-tax + company sponsored)
Mental Physical we'llness Stipend
Daily Meals Stipend
HQ in Burlingame + hub in NYC + hub in Bangalore
Build the company alongside the Founders

More Jobs at Gallileo Ai

Software Engineer, Platform & Data Infrastructure

bengaluru

3.0 - 6.0 yrs

INR 12 - 16 Lacs

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Software Engineer, Platform & Data Infrastructure

Experience & Salary

Skills Required

Work Mode

Job Type

Job Description

You Have

Bonus Skills

time-series or columnar databases

distributed query engines or streaming frameworks

container orchestration and scaling systems

observability and performance tooling

What will this role work on/get to do

In this role, you will:

Why Galileo

we offer:

More Jobs at Gallileo Ai