Role Description We are looking for a DevSecOps Engineer to join us as we build cutting-edge technology solutions! This is your opportunity to be part of a team that is committed to delivering best in class service to our customers. In this role, you will support secure cloud infrastructure, deployment automation, and operational reliability initiatives for enterprise analytics platforms and applications. You’ll help improve scalability, automation, monitoring, and security posture across development and production environments. Responsibilities: - Build and maintain CI/CD pipelines and automation workflows - Support cloud infrastructure and infrastructure-as-code initiatives - Implement security monitoring and vulnerability remediation - Manage containerized workloads and orchestration environments - Support deployment, monitoring, and incident response activities - Collaborate with development teams to streamline release processes - Maintain operational and security documentation Qualifications - Bachelor’s degree in Computer Science, Engineering, or related field - 5+ years of DevOps or DevSecOps experience - Experience with AWS or comparable cloud platforms - Experience with Docker, Kubernetes, or OpenShift - Strong scripting and automation experience Requirements - Experience with Terraform, Jenkins, ArgoCD, or GitHub Actions - Familiarity with cloud security and compliance frameworks - Experience supporting analytics or data platforms Benefits - Medical, dental, and vision coverage - Flexible Spending Account - 401k program - Competitive PTO offerings - Parental Leave - Opportunities for professional growth and development Salary Range At Blueprint, we strive to offer competitive pay that reflects the value of our team members. Compensation for this role is influenced by a variety of factors, including skills, education, responsibilities, experience, and geographic market. For candidates based in Washington State, the anticipated salary range is $95,000 to $105,000 annually. Please note that we typically do not hire new employees at the top of the posted range. Actual starting pay will be determined based on experience, skills, and internal equity. The final salary and job title may vary depending on the selected candidate’s qualifications and could fall outside the stated range. Equal Opportunity Employer Blueprint Technologies, LLC is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, age, disability, sex, gender identity or expression, orientation, veteran/military status, religion, national origin, ancestry, marital, or familial status, genetic information, citizenship, or any other status protected by law. If you need assistance or a reasonable accommodation to complete the application process, please reach out to: recruiting@bpcs.com Location Remote

Role Description We are seeking a Principal DevOps Engineer to serve as a technical leader within our DevOps organization. This role partners closely with other senior technical leaders to translate strategic platform direction into reliable, scalable, and developer-friendly infrastructure capabilities. The Principal will lead the technical execution of platform initiatives, elevate engineering standards, and drive measurable improvements in reliability, cost efficiency, and delivery velocity. This is a hands-on leadership role. You will design and implement platform capabilities across our serverless and Kubernetes environments, guide senior engineers, and influence engineering practices across teams. Key Responsibilities and Outputs: - Technical Leadership & Execution - Partner with Architects to implement and operationalize platform strategy. - Lead the technical design and delivery of platform capabilities across: - Serverless-first AWS workloads - Kubernetes (EKS) environments - Break down large architectural initiatives into executable milestones. - Guide platform implementation patterns and reusable modules. - Reliability & Operational Improvement - Drive systemic improvements that reduce incident frequency and severity. - Strengthen observability standards (logging, metrics, tracing). - Support adoption of Product focused SRE frameworks across teams. - Improve deployment safety, change management, and incident response practices. - Platform Evolution - Improve CI/CD automation and deployment workflows. - Contribute to Kubernetes cluster design evolution and networking patterns. - Improve logging pipelines, cost visibility, tagging standards, and platform guardrails. - Support platform modernization efforts with a focus on simplification and predictability. - Engineering Enablement - Improve developer experience across platform offerings. - Establish clear golden paths for deployment and monitoring. - Contribute to DORA metric visibility and engineering performance improvements. - Support responsible AI tooling adoption in our workflows. - Influence & Mentorship - Mentor senior engineers and elevate platform engineering standards. - Lead technical discussions and design reviews. - Make tradeoffs visible and articulate technical risk clearly. - Reinforce disciplined intake and prioritization practices to protect strategic capacity. Qualifications - 8–12+ years in infrastructure, SRE, or platform engineering. - Experience operating serverless and Kubernetes environments at scale. - Proven track record improving reliability and reducing operational toil. - Experience collaborating closely with multiple engineering teams. Requirements - Strong AWS expertise (Lambda, API Gateway, Step Functions, DynamoDB, S3, IAM, VPC). - Strong Kubernetes/EKS experience including networking and observability. - Advanced Infrastructure as Code (Terraform preferred). - Strong CI/CD pipeline design experience. - Experience with observability tooling (OpenTelemetry, OpenSearch, Prometheus/Grafana, CloudWatch). - Strong understanding of distributed systems and reliability engineering. Benefits - Remote First Culture - Health Care Coverage - Education Reimbursement - Competitive Paid Time Off - Self-Care Days - National Holidays - 2 Founder Days + Juneteenth Observed - Paid Volunteer Time Off - Charitable Contribution Match - Monthly Wellness or Home Office Reimbursement - Access to Employee Assistance Program (mental health platform) - Parental Leave - Retirement Plan with match/contribution

• Build and operate model and inference serving infrastructure • Own the ML deployment lifecycle • Operate agentic and LLM workloads in production • Build reproducible, automated ML pipelines • Extend infrastructure-as-code to ML systems • Operate GitOps for ML workloads • Run ML and AI workloads on multi-tenant Kubernetes • Own ML reliability and observability • Drive ML cost efficiency • Use agentic coding tools for infrastructure and pipeline work

Role Description We're hiring a Senior DevOps Engineer to lead significant improvements across the reliability, operability, and delivery of our platform. You'll work across the full lifecycle: - Understanding where our engineering teams are feeling friction today. - Designing pragmatic infrastructure and deployment improvements. - Shipping improvements safely and supporting them in production. You'll be working on a containerised platform running in Kubernetes, with Google Cloud-hosted services, Cloud SQL-backed applications, Redis, RabbitMQ, and a CI/CD flow built around Docker, Jenkins, and our deployment tooling. The challenges are real, the autonomy is high, and the team is small enough that your decisions matter. Qualifications - Kubernetes depth: Comfortable operating production Kubernetes environments and improving how services are deployed, configured, and run day-to-day. - Cloud platform experience: Strong hands-on experience with a major cloud provider - ideally GCP - including networking, IAM, managed services, and the trade-offs between building and buying. - CI/CD and release engineering: You've built or significantly improved delivery pipelines and understand how to balance speed with safety, traceability, and roll back confidence. - Containers and Linux fundamentals: Comfortable debugging containerised workloads, understanding what is happening at the process/network/filesystem level, and getting to root cause without guesswork. - Observability and incident handling: You know what good operational visibility looks like and can improve logging, metrics, alerting, and incident response in practical ways. - Automation instinct: Strong scripting and automation skills (Bash, Python, or similar) with the instinct to remove repetitive manual work rather than normalise it. - Security and secrets awareness: You take a thoughtful approach to access, credentials, service boundaries, and production change risk. - Engineering partnership: Can work well with software engineers and technical leaders to refine operational needs, push back constructively, and improve the platform without becoming a ticket firewall. - AI-assisted development: You use modern AI tooling (Claude Code, Cursor, Copilot or similar) to accelerate investigation, automation, and delivery - and you have a healthy scepticism of its output. You don't automate your judgment away. - Communication and judgment: Strong problem-solving, attention to detail, and the ability to explain trade-offs clearly to both engineers and non-engineers. Requirements - Experience supporting PHP/Symfony application estates or similar service-oriented web platforms. - Experience with Cloud SQL / MySQL, Redis, RabbitMQ, or similar managed data and messaging components. - Background working across a mixed estate of legacy and modern services, where incremental improvement matters more than greenfield purity. - Infrastructure-as-code experience (Terraform or similar). - Cost optimisation, capacity planning, or performance tuning experience in a production cloud environment. - Experience improving internal developer platforms, golden paths, or self-service tooling for engineering teams. Benefits - Curated career progression planning with formal yearly reviews and informal check-ins along the way. - Encouragement to grow into a Feature Development Lead. - A competitive salary. - Ample time to learn new concepts - including paid development and business-related conferences. - Fully remote working, no commuting expenses. - Flexible work hours. We'll need you around for a 10am stand-up; otherwise you work as and when it suits you. - 25 days holiday (plus bank holidays), with an additional day per year of service. - Regular all-company socials and quarterly team socials. - A team that genuinely likes learning and shipping together.