Senior DevOps Engineer

Striveworks

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profile Job Location:

Austin, TX - USA

profile Yearly Salary: $ 160000 - 200000
Posted on: 30+ days ago
Vacancies: 1 Vacancy
The job posting is outdated and position may be filled

Job Summary

Build Deploy and Maintain AI for an Unpredictable World

Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data models and business outcomes. Founded by data scientists and engineers Striveworks set out to make the journey from deployment to ongoing optimization simple and effective.

With Striveworks organizations arent just deploying AItheyre building systems that remain reliable adaptable and ready to scale in an unpredictable world. Mission-critical operations require models that perform where theyre deployed scale as workloads grow and adapt rapidly as AI capabilities advance. Striveworks meets these demands increasing reliability and performance while lowering costsand enabling confident data-driven decision-making in dynamic environments.

The Role

As a Senior DevOps Engineer at Striveworks you will be challengedand trustedon day one to take ownership of specific product deployments by maintaining optimizing and enhancing our on-premises and cloud computing environments. You will play a crucial role in the successful deployment of our software solutions to clients. You will be responsible for executing technical aspects of implementation projects and for ensuring the seamless integration customization and configuration of our software. Your expertise will play a critical role for the company as we deploy new instances of Striveworks AI operations (AIOps) capabilities to customer infrastructure.

You are right for this opportunity if you value and possess technical expertise and you enjoy pushing the boundaries of your capabilities. You will be responsible for maintaining Striveworks software deployments using Infrastructure-as-Code (IaC) methodologies.

Your day-to-day will include:

  • Automating IaC to manage virtual machines and deploy containers services and other infrastructure; leaning on expertise to deploy custom Kubernetes clusters in AWS Azure GCP on-premises or hybrid cloud environments
  • Working with platform developers other DevOps teammates and customer-facing teams to define requirements and build solutions for customer use cases of the platform
  • Software deployments to commercial and later unclassified CUI and classified Department of Defense (DOD) networks
  • Incident response and initial triage of critical system faults

The Senior DevOps Engineer works on the DevOps team. You will be responsible for monitoring automating and improving software reliability performance and availability for various projects. You will also act as a liaison between platform developers and customer-facing teams taking on operational tasks to ensure the efficient functioning of Striveworks solutions. You will work alongside a team of software engineers and data scientists to help them deploy and operate their work as functional products learning from them so that building effective AI solutions becomes second nature. You may provide guidance and leadership to junior DevOps team members.

You will directly contribute to the success of mission-critical systems within national security and commercial clients. You will be expected to wear multiple hats and to step into vacuums where improvements are needed and you will be given the breadth to explore new technologies and solutions.

This position offers a fully remote work environment or you can work hybrid/on site at our office in northwest Austin TX with up to 20% travel.

The Right Fit

In addition to the specific skills and expertise detailed below we are looking for individuals who share our values. Sharing a set of values allows us to move at the speed of trust.

Collectively we value a high-trust work environment where people respect each other and use candor kindly and constructively. We value work that intersects passion and perseverance we geek out about the potential of our contributions and we find joy in working hard on things that matter. Finally we value taking ownership having agency and feeling individual responsibility for collective results.

Heres what were looking for:

  • 6 years of direct hands-on experience in:
    • Python and/or Golang programming or other general purpose programming languages
    • Microservice deployment in Kubernetes
    • Diagnosing and resolving issues within containerized environments
    • Helm Chart and Kustomizations development/deployment
    • Automation and IaC (e.g. Terraform Ansible)
    • Cloud infrastructure (e.g. AWS Azure GCP or OpenStack)
    • Managing and troubleshooting Linux systems (e.g. RHEL Ubuntu CentOS)
  • The ability to work cross functionally to define requirements and build solutions for customer use cases of the platform
  • The ability to respond professionally and competently to incident reports and triage critical system faults
  • Eligibility and willingness to obtain and maintain a Secret (or above) US security clearance
  • Due to the nature of this role candidates must have US citizenship

The Wish List

We are very interested in candidates who possess the above qualifications and we appreciate and consider the addition of:

  • Active Secret (or above) US security clearance and familiarity with DOD networking tools infrastructure security requirements and policies
  • Proficiency with US federal information system security policies including Security Technical Implementation Guides (STIGs) NIST 800-171 NIST 800-53 CMMC and ICD 503
  • Experience with software deployments to on-premises and cloud-based unclassified CUI and classified networks within the DOD
  • Experience with DevSecOps/DevOps and CI/CD for the administration and deployment of GPU-enabled servers
  • Experience deploying or maintaining Cloud Native Computing Foundation (CNCF) projects
  • Experience with network-attached storage (NAS) and storage area network (SAN) technologies
  • Experience with Kubernetes and cloud-native applications and services in denied disrupted intermittent and limited impact (DDIL) environments

The anticipated base pay range for this position is $160000 to $200000/year. Striveworks total compensation package includes a competitive base salary equity grants and cash bonuses.

The Benefits

  • Medical/dental/vision insurance
  • Voluntary life long-term disability accident and hospital indemnity insurance
  • HSA and FSA (including dependent care FSA) plans
  • 401(k) plan
  • Unlimited PTO
  • Paid parental leave

Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race color religion belief sex (including pregnancy and gender identity or expression) national origin social or ethnic origin political affiliation sexual orientation marital status disability genetic information age membership in an employee organization retaliation parental status military service or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind.

If you require assistance or a reasonable accommodation in the application process please contact Operations at .

In compliance with federal law all persons hired will be required to verify identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire.

Striveworks is a participating employer in the E-Verify program.


Required Experience:

Senior IC

Build Deploy and Maintain AI for an Unpredictable WorldStriveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data models and business outcomes. Founded by data scientists and...
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Key Skills

  • APIs
  • C/C++
  • Computer Graphics
  • Go
  • React
  • Redux
  • Node.js
  • AWS
  • Library Services
  • Assembly
  • GraphQL
  • High Voltage

About Company

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Build, deploy, monitor, and remediate data with Striveworks. Accelerate your ML lifecycle and democratize data-driven decisions.

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