Parasail Logo

Parasail

Senior Software Engineer, Distributed Systems

Posted 11 Days Ago
Easy Apply
In-Office or Remote
7 Locations
Senior level
Easy Apply
In-Office or Remote
7 Locations
Senior level
Design, build, and secure scalable distributed backend systems for AI workloads. Implement microservice-based architectures, manage Kubernetes-based deployments, apply IaC and DevOps practices, and collaborate with performance and solutions engineering to optimize model deployment and infrastructure cost, security, and scalability.
The summary above was generated by AI

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.

Top Skills

Cloud Platforms
Containerization
Devops Practices
Go
Infrastructure As Code
Java
Kubernetes
Large Language Models
Microservice Architecture
Orchestration
Spring Boot

Similar Jobs

18 Days Ago
Easy Apply
Remote
Canada
Easy Apply
180K-230K Annually
Senior level
180K-230K Annually
Senior level
eCommerce
The Sr. Software Engineer II will design, develop and maintain distributed systems, ensuring scalability, reliability, and performance while leading and mentoring team members.
Top Skills: AWSCassandraDynamoDBElasticacheGCPGoJavaMongoDBMySQLPostgresPythonRedisRustScala
15 Hours Ago
Easy Apply
Remote
31 Locations
Easy Apply
110K-120K Annually
Mid level
110K-120K Annually
Mid level
Artificial Intelligence • Consumer Web • Digital Media • Information Technology • Social Impact • Software
As a Customer Success Manager at Circle Plus, you will guide strategic customers through onboarding, product adoption, and value creation, while managing their community success and consulting on best practices.
Top Skills: CanvaGoogle SuiteHubspotNotionZapier
15 Hours Ago
Easy Apply
Remote
3 Locations
Easy Apply
250K-280K Annually
Senior level
250K-280K Annually
Senior level
Artificial Intelligence • Enterprise Web • Software • Design • Generative AI
The Enterprise Account Executive at Webflow will engage with potential customers, build sales pipelines, negotiate contracts, and collaborate cross-functionally to drive growth.
Top Skills: AISaaS

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account