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Full-Time

Lead Enterprise Support Software Engineer

Confirmed live in the last 24 hours

Exostellar

Exostellar

11-50 employees

Optimizes high-performance computing cloud applications

Data & Analytics
Enterprise Software

Senior

Ithaca, NY, USA

Category
Backend Engineering
IT & Support
Software Engineering
Required Skills
Python
Go
Linux/Unix
Requirements
  • Bachelor’s degree in Computer Science or a related field or equivalent experience.
  • 5+ years overall software development experience.
  • 5+ years of experience troubleshooting and identifying the root cause of issues in complex Enterprise-level applications in UNIX/Linux environments.
  • 3+ years of experience providing technical support for Enterprise-level applications in the cloud
  • Significant experience supporting containerized applications
  • Development Experience in languages like C, C++, Golang, Python, etc.
  • Strong written and verbal communication skills with a talent for precise articulations of customer problems
  • Demonstrated skill and passion for problem solving and operational excellence.
  • Ability to retain composure under stressful conditions, communicates effectively with a wide array of individuals at Exotanium, and gets the right things done.
  • Growth mindset and a passion for learning
  • You can work effectively in a remote environment
Responsibilities
  • Provide front-line customer support to identify and troubleshoot issues with our products across the stack, from installation/environment issues to code-level bugs.
  • Work to help us build a customer-centric culture, becoming an advocate for our customers and identifying and working with others to reduce the friction that they experience
  • Work directly with customers and internal staff to report issues with a high degree of detail, facilitating reproducibility, further diagnostics, and resolution
  • Create and document workarounds for identified issues to keep customers operational
  • Read and understand complex application code and make code fixes to resolve support issues where possible
  • Use our packaging and CI/CD tools to produce builds for testing solutions
  • Develop tools, procedures, and documentation to help scale our support abilities
  • Stay up to date with our products, upcoming releases, and prepare to support them in customers’ production environments with excellence

Exostellar optimizes high-performance computing (HPC) applications in the cloud, helping enterprises reduce costs while enhancing performance. The company automatically migrates HPC applications to more cost-effective virtual machines, allowing clients to achieve up to five times more computing power without upfront investments. Exostellar operates on a subscription model and targets industries like finance, healthcare, and scientific research. Its unique offering is a single interface that provides high control over cloud resources, simplifying management of cloud expenditures.

Company Stage

Series A

Total Funding

$33.5M

Headquarters

Ithaca, New York

Founded

2019

Growth & Insights
Headcount

6 month growth

17%

1 year growth

32%

2 year growth

86%
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Simplify's Take

What believers are saying

  • The recent $15M Series A funding will enable Exostellar to expand its operations and enhance its technology, promising significant growth opportunities.
  • Exostellar's AI-driven approach to cloud optimization can lead to substantial cost savings and improved performance for enterprises, making it an attractive workplace for tech talent.

What critics are saying

  • The competitive landscape in cloud resource optimization is intense, with numerous startups and established players vying for market share.
  • The rapid technological advancements in AI and cloud computing require continuous innovation, posing a risk if Exostellar fails to keep pace.

What makes Exostellar unique

  • Exostellar leverages AI and ML to optimize cloud resources, setting it apart from traditional cloud management solutions that rely on manual adjustments.
  • The company's focus on extending CPU live migration IP to GPU-centric AI workloads positions it uniquely in the burgeoning AI-GPU domain.

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