DevOps Engineer

Job Description

The DevOps Engineer is responsible for designing, building, and operating scalable cloud platforms, automation, and delivery services that improve developer productivity and enable reliable software delivery. This role develops CI/CD pipelines, infrastructure as code, Kubernetes-based platform capabilities, and self-service tooling that support secure, repeatable, and efficient delivery of cloud-native applications. Working closely with onshore engineering, QA, security, architecture, and product teams, the DevOps Engineer helps advance modern DevOps practices, reduce operational toil, and improve the reliability, scalability, and efficiency of Bluebeam’s software delivery lifecycle.

• Act as a change agent for a modern DevOps culture by promoting automation, shared ownership, and collaboration across software engineering, QA, security, and product teams.
• Design, develop, and maintain internal platforms, pipelines, and tooling that treat infrastructure, delivery, and operations as software.
• Build and evolve CI/CD pipelines and deployment frameworks that enable rapid, reliable, and repeatable delivery of cloud native applications.
• Develop and maintain infrastructure as code (IaC) and configuration standards to ensure consistency, security, and scalability across environments.
• Create self-service capabilities and paved paths that empower development teams while enforcing best practices for reliability, security, and cost efficiency.
• Partner with architecture, engineering, and security teams to define cloud standards, evaluate tools, and influence build vs. buy decisions for the engineering platform.
• Support and modernize legacy systems by designing automated migration paths to cloud native and containerized solutions.
• Participate in operational support, incident response, and on-call rotation, with a focus on automation, root cause analysis, and continuous improvement rather than manual intervention.

Skills Required:

• Strong understanding of AWS cloud architecture and services, including IAM, networking, compute, autoscaling, managed services, and secure cloud design patterns.
• Hands-on experience designing, building, and maintaining CI/CD pipelines using modern tools such as GitHub Actions, Jenkins, GitLab CI, Argo CD, or equivalent platforms. Experience with Kubernetes-based platforms, preferably Amazon EKS, including deployment, scaling, configuration, troubleshooting, and operation of production workloads.
• Proficiency with infrastructure as code using Terraform, CloudFormation, or equivalent tools to manage cloud infrastructure in a consistent, repeatable, and auditable manner. Strong automation and scripting skills using Python, Bash, PowerShell, Go, or similar languages to reduce manual work and improve operational reliability.
• Familiarity with containerization and deployment strategies for cloud-native applications, including Docker, Helm, blue/green deployments, canary deployments, and rolling releases.
• Working knowledge of observability practices, including monitoring, logging alerting, tracing, and incident response using tools such as CloudWatch, Prometheus, Grafana, Dynatrace, New Relic, ELK, Splunk, or equivalent platforms.
• Understanding of secure software delivery practices, including secrets management, artifact repositories, dependency scanning, access controls, and pipeline security.
• Ability to apply software engineering practices to infrastructure and automation, including version control, testing, code reviews, documentation, and reusable design.
• Strong communication and collaboration skills, including the ability to work effectively with distributed onshore and offshore engineering, QA, security, architecture, and product team.
• 5–7 years of overall industry experience in software engineering, DevOps, platform engineering, site reliability engineering, cloud engineering, or related technical roles.
• 3–5 years of hands-on experience designing, building, and maintaining CI/CD pipelines, deployment automation, and release workflows for production systems.
• 3–5 years of experience working in cloud environments, preferably AWS, including supporting scalable, secure, and highly available production infrastructure.
• 2–4 years of experience working with Kubernetes-based platforms, preferably Amazon EKS, including deployment, operation, troubleshooting, and support of production workloads. Demonstrated experience using infrastructure as code, configuration management, and automation to manage cloud infrastructure at scale. Experience contributing to shared platforms, internal tooling, automation, or services that support software delivery across multiple engineering teams.
• Practical experience participating in operational support, incident response, root cause analysis, and continuous improvement for production systems.
• Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience developing and operating software systems at scale.
• Strong preference for demonstrated hands-on experience in software development, automation, or cloud engineering over formal credentials alone.
• Cloud certifications such as: · AWS Solutions Architect Associate · AWS DevOps Engineer, or equivalent) are a plus but not required.

Qualifications

Additional Information

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