Shape the Future of AI Infrastructure with VAST Data
This is a rare opportunity to join one of the fastest-growing infrastructure companies in tech history, right at the epicenter of the AI revolution.
Recognized by Forbes as "the future of the market," VAST Data is building the foundational enterprise software powering the AI era. We engineer platforms that capture, catalog, refine, and protect massive datasets across data centers, edge, and cloud, making real-time analytics, AI training, and inference simpler and faster than ever before.
Our explosive growth is fueled by relentless engineering innovation, a customer-first mindset, and a team of fearless VASTronauts who thrive on solving computing's hardest problems. Join us at this pivotal moment in technology history and make a lasting impact on how the world processes data.
We are seeking a talented and experienced Software Engineer to design, build, and optimize high-performance distributed systems, core data engines, and backend infrastructure.
Work in a team of top-of-the-line software engineers, developing state-of-the-art management systems for Cloud solutions, managing mission-critical enterprise-level data platforms.
RequirementsSenior Python Backend Engineer (Cloud, Management & Data Engine)
About the Role: We are looking for a top-of-the-line Senior Python Backend Engineer to develop state-of-the-art enterprise platforms, cloud solutions, and data engines. In this role, you will design mission-critical, high-availability distributed systems, build advanced APIs, and deploy software across diverse cloud and infrastructure ecosystems
Key Responsibilities & Requirements:
- Python Mastery: Proven, extensive server-side Python programming expertise.
- Architecture & Scale: Strong background in building enterprise-grade, cloud-operated, or high-scale distributed systems with complex high-availability mechanisms.
- API Development: Hands-on experience designing, scaling, and operating robust REST APIs and control planes.
- Data & Linux: Proficiency working in Linux environments, database modeling/management, and robust integration testing within CI/CD pipelines.
- Mindset: A fast learner, dedicated team player, and accurate system designer with exceptional coding capabilities.
Advantages / Nice-to-Have (Depending on specific team focus):
- Cloud: Experience deploying workloads on major Hyper-scalers (AWS, Azure, GCP).
- Concurrency & Frameworks: Familiarity with either low-level Python concurrency (multi-threading/multi-processing) or modern Async frameworks (FastAPI, Async I/O, Pydantic).
- Infrastructure & Events: Background in virtualization/storage/network management systems, event-driven architectures (e.g., Kafka), or serverless workloads.
Teams:
- Management Team: Enterprise Control Panel: Builds the end-to-end REST-to-RPC API pipeline to process complex client requests. Core Infrastructure: Manages storage, network, and virtualization layers, utilizing concurrent Python for cluster deployments and system upgrades.
- Data Engine Services: focuses on a modern cloud-native ecosystem, demanding specialization in Kubernetes orchestration, event-driven architectures, and asynchronous Python (FastAPI/Async I/O)
- Cloud Team: focuses on cloud-hosted SaaS platforms, bridging low-level Python system architecture with multi-cloud deployments across major hyper-scalers (AWS, Azure, GCP).
Skills Required
- Extensive server-side Python programming expertise
- Experience building enterprise-grade, cloud-operated, high-scale distributed systems with high-availability mechanisms
- Hands-on experience designing, scaling, and operating robust REST APIs and control planes
- Proficiency with Linux environments, database modeling/management, and integration testing in CI/CD pipelines
- Strong system design skills, fast learner, team player, and exceptional coding capabilities
- Experience deploying workloads on major cloud providers (AWS, Azure, GCP)
- Familiarity with Python concurrency (multi-threading/multi-processing) or async frameworks (FastAPI, Async I/O, Pydantic)
- Background in virtualization, storage or network management systems, event-driven architectures (e.g., Kafka), or serverless workloads
- Kubernetes orchestration and cloud-native experience
VAST Data Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about VAST Data and has not been reviewed or approved by VAST Data.
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Healthcare Strength — Medical, dental, vision and life insurance are included, with several elements identified as employer-provided. Coverage aligns with what is commonly offered by high‑growth tech companies.
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Leave & Time Off Breadth — Time off includes generous or unlimited PTO alongside paid sick days and paid holidays, coupled with remote or work‑from‑home flexibility. This breadth supports taking time away when needed.
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Equity Value & Accessibility — Company equity is a standard part of offers with a typical four‑year vest, and professional development support is available. Equity is positioned as a meaningful component of total compensation at a growth‑stage company.
VAST Data Insights
What We Do
Meet the data platform company for the AI era. Accelerating time-to-insight for workload-intensive applications, the VAST Data Platform delivers scalable performance, radically simple data management and enhanced productivity for the AI-powered world. Launched in 2019, VAST is the fastest-selling data infrastructure startup in history.
