Senior Software Engineer, Cloud DevOps

Hyperscience in US-East Coast Time Zone - Remote

$154,000 - $230,000

Company Description
Hyperscience is transforming the future of work to elevate human potential. Our human-centered approach to automation enables a new era of human and machine collaboration that delivers dramatically improved organizational agility, without the legacy cost and burden of change management. By combining data, people, and processes into digital assembly lines, the Hyperscience Platform turns complex processes into simple, configurable workflows. Our industry-leading machine learning technology continuously learns and evolves, to involve humans only when needed. For more information, please visit www.hyperscience.com .

As a Senior Software Engineer, Cloud DevOps, you will lead capabilities that are critical to Hyperscience’s success and the success of our Cloud footprint. Hyperscience serves our customers on-premise (including client-managed private clouds) and is currently building out our Cloud SaaS offering. Our Cloud-focused DevOps team is responsible for defining the technology stack, tooling, automation, standards, and practices for the Cloud SaaS offering. You will contribute to our SaaS and general Cloud incident management, including building an Observability stack to support our SLAs, SLOs, and SLIs. You will partner with our application engineering teams to ensure alignment with the Product roadmap and technical roadmap. Our focus is on automation. This means that strong software development and scripting practices and capabilities are central to the team. This is an exciting time for Hyperscience’s product and business. You will have the opportunity to influence and deliver on a bold vision for transforming the way organizations model and execute their business processes, and there will be many opportunities for growth along the way.
The target base compensation range for this role: $154,000 - $230,000.  Actual compensation will be dependent upon the individuals skills, experience, qualifications, geographical location, and our business needs and objectives.  Our overall compensation packages include base salary, equity and the benefits and perks listed below. Our Talent Acquisition team will speak more about our Total Rewards philosophy and approach during the hiring process.

Benefits
- Top-notch healthcare for you and your family
- 30 days of paid leave annually to help nurture work-life symbiosis
- A 100% 401(k) match for up to 6% of your annual salary
- Stock options
- Wellness reimbursements for qualified expenses
- 6-month parental leave
- A monthly childcare, education and elder care reimbursement for up to 2 dependents
- $50 internet expense reimbursements

We are an equal opportunity employer. We welcome people of different backgrounds, experiences, abilities and perspectives. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.
    • Partner with our product management teams to implement services and architecture that help grow our total addressable market and drive better customer adoptions across our Cloud resources
    • Respond to Cloud incidents and provide expert troubleshooting and diagnostic input to help resolve issues, while also participating in follow-up work to continuously add stability to our platform
    • Own end-to-end high-impact projects that directly relate to our company’s critical business needs
    • Build and support internal tooling that helps us grow our cloud offering
    • Partner with product engineering teams to evolve Hyperscience products and services reliability, serviceability, and operations, for our Cloud-based SaaS offering
    • Influence designs, architectures, standards, and methods for distributed systems for reliability, scalability, and serviceability
    • Collaborate with a world-class engineering team to propose Cloud services that solve recurring patterns our Cloud customers face.
    • Bachelor’s degree in software engineering, computer science, computer engineering, or related technical field OR equivalent practical experience
    • Extensive experience related to a DevOps-based Cloud environment
    • Extensive experience building and managing scalable distributed application deployments within the Kubernetes platform and ecosystem
    • Understanding of algorithms and data structures
    • Strong troubleshooting and analytical skills
    • Strong experience scripting in Python and Bash
    • Experience in operations, including automation, monitoring, alerting, and incident management
    • Experience in relational database systems troubleshooting, performance tuning, development, and migration
    • Excellent verbal and written interpersonal and team work communication skills
    • Experience with GoExperience with a python web framework like Django
      • #LI-remote
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