Parasail Logo

Parasail

Senior Software Engineer, Distributed Systems

Sorry, this job was removed at 11:04 a.m. (PST) on Wednesday, Jun 24, 2026
In-Office or Remote
6 Locations
In-Office or Remote
6 Locations

Similar Jobs

25 Days Ago
In-Office or Remote
USA
135K-300K Annually
Senior level
135K-300K Annually
Senior level
Artificial Intelligence • Cloud • Information Technology • Software
As a Distributed Systems Engineer, you'll design and evolve LiveKit's core systems, implement resilient architectures, and enhance reliability and developer velocity, working on critical features in production environments.
Top Skills: ClickhouseGoGrpcKubernetesNatsOpentelemetryPrometheusPsrpcRaft
25 Days Ago
In-Office or Remote
USA
135K-300K Annually
Senior level
135K-300K Annually
Senior level
Artificial Intelligence • Information Technology • Internet of Things
The role involves designing and evolving core systems at LiveKit, implementing resilient architectures, and building tools to enhance system reliability and developer speed. Strong distributed systems experience and programming skills are essential.
Top Skills: ClickhouseGoGrpcKubernetesNatsOpentelemetryPrometheusPsrpcRaft
17 Minutes Ago
Remote
40K-50K Annually
Entry level
40K-50K Annually
Entry level
Healthtech • Social Impact • Telehealth
Provide remote post-intake support to mental health patients, serving as the main contact for scheduling, billing, technical troubleshooting, and administrative requests. Communicate by phone, email, and text with empathy and professionalism, resolve problems, coordinate follow-up, and help older adults access seamless, reliable care.
Top Skills: Ehr SoftwareHealthieOhmdZoom

Parasail is redefining AI infrastructure by enabling seamless deployment across a distributed network of GPUs, optimizing for cost, performance, and flexibility. Our mission is to empower AI developers with a fast, cost-efficient, and scalable cloud experience—free from vendor lock-in and designed for the next generation of AI workloads.

Job Description

The Senior Software Engineer, Distributed Systems role at Parasail is crucial for ensuring the seamless deployment, scalability, and security of our AI platform. This position is tailored for individuals passionate about creating robust infrastructures that support complex AI workloads, with a strong emphasis on cloud compatibility, security, ease of use, and cost savings. You will work closely with AI-focused performance and solutions engineering teams, facilitating the orchestration of resources needed for high-performing AI applications, all while ensuring our infrastructure adheres to the highest standards of security and data privacy.

Technical Abilities
  • Microservice Architecture: Deep understanding of distributed application design patterns, service decomposition, and inter-service communication. Experience in building scalable and maintainable microservice-based systems.

  • Backend Development: Strong foundation in storage solutions and networking protocols. Ability to design and implement robust backend systems with optimized data management and network communication.

  • Programming Languages & Frameworks: Extensive experience with Java, Spring Boot, and Golang. Proficiency in developing enterprise-grade applications using modern development frameworks and tools.

  • Distributed Systems: Deep knowledge of distributed computing principles, including consistency models, fault tolerance, and scalability patterns. Experience in designing and maintaining large-scale distributed applications.

  • Cloud-Native Technologies: Proficiency in cloud platforms and Infrastructure as Code (IaC). Experience with containerization, orchestration, and automated infrastructure deployment using modern DevOps practices.

  • Large Language Models: Understanding of LLM technologies and their applications. Experience in integrating and working with AI language models in production environments, including model deployment and optimization.

Qualifications
  • 5+ years of experience in backend or infrastructure, with exposure in Kubernetes and distributed computing environments.

  • Demonstrated ability to build and secure scalable, high-performance backend.

  • Hands-on to build brand new system and make end to end work

  • Excellent problem-solving skills, with a track record of designing solutions that address the complex needs of AI workloads.

  • While AI experience is not required, a demonstrated capacity to learn new technologies and stay up-to-date on the cutting edge is essential.

What You Bring to the Table

This role is pivotal in building a new breed of cloud architecture that enables enterprises to build powerful AI in their preferred environment with the same performance and economics as uncontrolled external services. This role ensures our AI solutions are not just innovative but also secure and sustainable. If you're passionate about learning the cutting edge of AI, building the future of infrastructure, and making a tangible impact to the early days of a company, we're excited to welcome you aboard.

HQ

Parasail San Mateo, California, USA Office

4 W 4th Ave, San Mateo, California, United States, 94402 1619

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account