Procurement Sciences
Company Overview
Procurement Sciences is at the forefront of transforming the multi-billion-dollar government contracting industry with Awarded AI, our cutting-edge platform designed to help businesses excel in government sales. We simplify complex processes, drive revenue growth, and deliver real cost savings through unmatched efficiency. As a leading venture-backed SaaS company founded by seasoned GovCon experts, we are not just participants in the AI revolution; we are shaping it by solving the industry's toughest challenges. Our "One Team, One Fight" culture values creativity, accountability, and forward-thinking, and we invite driven builders and innovators to help us develop high-performing teams. Ranked among the top 10 percent of fastest-growing SaaS companies and on a clear path to becoming a unicorn, we are seeking top talent to join our early team and play a key role in building the next great AI software company.
Job Title:
DevOps Engineer
Location:
Washington, DC metro area; Salt Lake City, UT; or Remote
Department:
Engineering & Cloud Operations
Job Description
We are seeking a results-driven and innovative DevOps Engineer to play a critical role in building, maintaining, and optimizing our secure, multi-cloud AI-driven SaaS platform. You'll work hand-in-hand with software engineering and SRE teams to deliver secure, reliable, automated cloud infrastructure and DevSecOps pipelines that support production, test, and development environments at scale. The ideal candidate will bring deep experience in Azure, AWS, and Google Cloud Platform (GCP), strong Kubernetes skills, and a proactive approach to automation, observability, and reliability-ideally within a high-growth SaaS or GovCon context.
Key Responsibilities: Deploy, configure, and manage our AI-powered SaaS platform across Azure, AWS, and Google Cloud Platform (GCP), ensuring high availability, security, scalability, and cost-effectiveness. Design, implement, and maintain robust CI/CD pipelines (Azure DevOps, GitHub Actions, GitLab, or similar), automating build, test, deployment, and infrastructure provisioning workflows. Collaborate closely with development, SRE, and security teams to enable rapid, reliable software releases, with baked-in system observability, compliance, and security controls. Manage and optimize multi-cloud virtual private networks, container orchestration (Kubernetes, Helm), and microservices deployments. Operate, monitor, and tune infrastructure by applying best practices in cloud security, cost management, and resource utilization; develop infrastructure as code using Terraform, ARM/Bicep templates, and/or similar tools. Implement, manage, and integrate monitoring, alerting, and logging platforms (Datadog, Prometheus, Grafana, ELK, Cloud native tools, etc.) to ensure visibility into service health and performance. Ensure infrastructure and application environments meet and maintain security, compliance, and auditability requirements (supporting FedRAMP, CMMC, and public sector regulatory needs). Conduct regular assessments, vulnerability scans, and incident response drills; manage secrets and key rotation in line with industry best practices. Provide technical guidance and production support, including troubleshooting, root cause analysis, and incident management to minimize downtime. Create and maintain clear, actionable documentation, runbooks, and technical process guidance. Keep current with industry trends, new cloud technologies, and DevSecOps best practices, introducing improvements and driving adoption within the organization. Required Experience:
Demonstrated success as a DevOps Engineer, Site Reliability Engineer, or Cloud Engineer in high-growth SaaS or cloud-native businesses. Strong, hands-on experience deploying and supporting applications in Azure, AWS, and Google Cloud Platform environments. Deep knowledge of containerization (Docker, Kubernetes) and orchestration practices using tools like Helm. Proven ability to build, maintain, and optimize CI/CD pipelines (such as Azure DevOps, GitHub Actions, GitLab CI, or similar). Proficient in scripting languages such as Bash and PowerShell; experience with Python or TypeScript is highly desirable. Experience managing infrastructure as code (Terraform, ARM, Bicep) and automating cloud provisioning at scale. Familiarity with monitoring, logging, and observability platforms, and a strong understanding of SLIs, SLAs, and SLOs. Sound understanding of cloud security, networking fundamentals, and identity/access management in public and hybrid cloud architectures. Bachelor's degree in Computer Science, Engineering, or a related field-or equivalent professional experience. Preferred Qualifications:
Prior experience supporting platforms handling government data, regulated data, or working towards FedRAMP or CMMC compliance. Experience deploying, scaling, or supporting AI/ML workloads and large language models in production cloud environments. Familiarity with GitOps workflows (e.g., FluxCD, ArgoCD), secure secrets management, and policy-as-code. Relevant professional certifications (e.g., Microsoft Certified: Azure DevOps Engineer Expert, AWS Certified DevOps Engineer, or Google Professional DevOps Engineer) are a plus. Requirements:
U.S. citizenship with the ability to pass a federal background check and identity verification, if required by project or contract. Compensation and Benefits:
Highly competitive salary with equity options in a fast-growing, venture-backed organization. Comprehensive health benefits package for you and your family. Flexible work arrangements, with remote, hybrid, or on-site options in the DC metro area or Salt Lake City. Extensive professional development, training, and career growth opportunities.
To Apply:
Please submit your resume and a brief cover letter demonstrating your experience with multi-cloud DevOps, automation, and secure deployments in dynamic SaaS environments.
Notice: Background Check Required
As part of our employment process, a background check (including, but not limited to, credit history, criminal records, and employment verification) will be conducted in compliance with applicable law. By applying, you acknowledge and consent to this process.
Procurement Sciences AI (PSci.AI) is an equal opportunity employer and values diversity at all levels of the organization.
Procurement Sciences is at the forefront of transforming the multi-billion-dollar government contracting industry with Awarded AI, our cutting-edge platform designed to help businesses excel in government sales. We simplify complex processes, drive revenue growth, and deliver real cost savings through unmatched efficiency. As a leading venture-backed SaaS company founded by seasoned GovCon experts, we are not just participants in the AI revolution; we are shaping it by solving the industry's toughest challenges. Our "One Team, One Fight" culture values creativity, accountability, and forward-thinking, and we invite driven builders and innovators to help us develop high-performing teams. Ranked among the top 10 percent of fastest-growing SaaS companies and on a clear path to becoming a unicorn, we are seeking top talent to join our early team and play a key role in building the next great AI software company.
Job Title:
DevOps Engineer
Location:
Washington, DC metro area; Salt Lake City, UT; or Remote
Department:
Engineering & Cloud Operations
Job Description
We are seeking a results-driven and innovative DevOps Engineer to play a critical role in building, maintaining, and optimizing our secure, multi-cloud AI-driven SaaS platform. You'll work hand-in-hand with software engineering and SRE teams to deliver secure, reliable, automated cloud infrastructure and DevSecOps pipelines that support production, test, and development environments at scale. The ideal candidate will bring deep experience in Azure, AWS, and Google Cloud Platform (GCP), strong Kubernetes skills, and a proactive approach to automation, observability, and reliability-ideally within a high-growth SaaS or GovCon context.
Key Responsibilities: Deploy, configure, and manage our AI-powered SaaS platform across Azure, AWS, and Google Cloud Platform (GCP), ensuring high availability, security, scalability, and cost-effectiveness. Design, implement, and maintain robust CI/CD pipelines (Azure DevOps, GitHub Actions, GitLab, or similar), automating build, test, deployment, and infrastructure provisioning workflows. Collaborate closely with development, SRE, and security teams to enable rapid, reliable software releases, with baked-in system observability, compliance, and security controls. Manage and optimize multi-cloud virtual private networks, container orchestration (Kubernetes, Helm), and microservices deployments. Operate, monitor, and tune infrastructure by applying best practices in cloud security, cost management, and resource utilization; develop infrastructure as code using Terraform, ARM/Bicep templates, and/or similar tools. Implement, manage, and integrate monitoring, alerting, and logging platforms (Datadog, Prometheus, Grafana, ELK, Cloud native tools, etc.) to ensure visibility into service health and performance. Ensure infrastructure and application environments meet and maintain security, compliance, and auditability requirements (supporting FedRAMP, CMMC, and public sector regulatory needs). Conduct regular assessments, vulnerability scans, and incident response drills; manage secrets and key rotation in line with industry best practices. Provide technical guidance and production support, including troubleshooting, root cause analysis, and incident management to minimize downtime. Create and maintain clear, actionable documentation, runbooks, and technical process guidance. Keep current with industry trends, new cloud technologies, and DevSecOps best practices, introducing improvements and driving adoption within the organization. Required Experience:
Demonstrated success as a DevOps Engineer, Site Reliability Engineer, or Cloud Engineer in high-growth SaaS or cloud-native businesses. Strong, hands-on experience deploying and supporting applications in Azure, AWS, and Google Cloud Platform environments. Deep knowledge of containerization (Docker, Kubernetes) and orchestration practices using tools like Helm. Proven ability to build, maintain, and optimize CI/CD pipelines (such as Azure DevOps, GitHub Actions, GitLab CI, or similar). Proficient in scripting languages such as Bash and PowerShell; experience with Python or TypeScript is highly desirable. Experience managing infrastructure as code (Terraform, ARM, Bicep) and automating cloud provisioning at scale. Familiarity with monitoring, logging, and observability platforms, and a strong understanding of SLIs, SLAs, and SLOs. Sound understanding of cloud security, networking fundamentals, and identity/access management in public and hybrid cloud architectures. Bachelor's degree in Computer Science, Engineering, or a related field-or equivalent professional experience. Preferred Qualifications:
Prior experience supporting platforms handling government data, regulated data, or working towards FedRAMP or CMMC compliance. Experience deploying, scaling, or supporting AI/ML workloads and large language models in production cloud environments. Familiarity with GitOps workflows (e.g., FluxCD, ArgoCD), secure secrets management, and policy-as-code. Relevant professional certifications (e.g., Microsoft Certified: Azure DevOps Engineer Expert, AWS Certified DevOps Engineer, or Google Professional DevOps Engineer) are a plus. Requirements:
U.S. citizenship with the ability to pass a federal background check and identity verification, if required by project or contract. Compensation and Benefits:
Highly competitive salary with equity options in a fast-growing, venture-backed organization. Comprehensive health benefits package for you and your family. Flexible work arrangements, with remote, hybrid, or on-site options in the DC metro area or Salt Lake City. Extensive professional development, training, and career growth opportunities.
To Apply:
Please submit your resume and a brief cover letter demonstrating your experience with multi-cloud DevOps, automation, and secure deployments in dynamic SaaS environments.
Notice: Background Check Required
As part of our employment process, a background check (including, but not limited to, credit history, criminal records, and employment verification) will be conducted in compliance with applicable law. By applying, you acknowledge and consent to this process.
Procurement Sciences AI (PSci.AI) is an equal opportunity employer and values diversity at all levels of the organization.