DevOps Engineer, Infrastructure & Security

Segment (Twilio); Washington (District of Columbia); On-site; USD 245,600 - 307,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

Scale in Washington DC is seeking a DevOps Engineer focused on scaling CI/CD pipelines to automate the SDLC and integrate ML components into workflows, moving from manual deployments to unified automation. You will design, implement, and maintain robust pipelines, collaborate with product and engineering teams, ensure security, and document configurations.

A TS/SCI clearance is required with willingness to upgrade to CI Poly.

Qualifications

• 2-3 years of DevOps/DevSecOps experience with CI/CD focus.
• Experience building or enhancing CI/CD pipelines across deployments.
• Fluency with containerization and cloud platforms.

Responsibilities

• Design, develop, and maintain robust CI/CD pipelines to automate deployments for lowside and highside products.
• Collaborate with product and engineering teams to improve code compatibility with automated pipelines.
• Contribute to architecture and design of deployment systems for efficiency and reliability.
• Troubleshoot deployment issues and ensure SDLC stability.
• Learn and integrate ML components into automated workflows.

Skills

CI/CD

Kubernetes

Terraform

Docker

AWS

Automation

Python

Security

ML integration

Tools

Kubernetes

Terraform

Docker

AWS

Job description

As Scale's product portfolio and customer base expand, we are seeking skilled DevOps Engineers, Public Sector to be at the forefront of building out and enhancing our CI/CD pipelines. You will play a crucial role in streamlining our Software Development Life Cycle (SDLC) through collaborative efforts, moving us from a state of manual, disparate deployments to a more unified and automated system.

These engineers will gain a deep understanding of our core products' architecture and composition, enabling them to effectively deploy and manage these systems when needed. A critical aspect of this role will be seamlessly integrating various machine learning (ML) tasks and updates into our SDLC, transforming currently separate ML components into a cohesive and automated workflow. While direct ML expertise is not required, a desire to learn and integrate ML components into the lifecycle is essential.

Requirements

• At least an active TS/SCI clearance and willingness to upgrade to CI Poly. This is a requirement and candidates will not be considered who do not hold at least a TS/SCI clearance.

Responsibilities

• Design, develop, and maintain robust CI/CD pipelines to automate the deployment of our lowside and highside products.
• Collaborate closely with product and engineering teams to enhance existing application code for improved compatibility and streamlined integration within automated pipelines.
• Contribute to the overall architecture and design of our deployment systems, bringing new ideas to life for increased efficiency and reliability.
• Troubleshoot and resolve complex deployment issues, ensuring minimal disruption to development cycles.
• Develop a deep understanding of our product and ML architectures to facilitate seamless integration and deployment.
• Document pipeline processes and configurations to ensure maintainability and knowledge transfer.
• Proactively incorporate security best practices into all stages of the CI/CD pipeline, building security into our development processes.
• Drive standardization and foster collaboration across different product teams to achieve a unified and efficient SDLC.

Qualifications

• 2-3 years of experience as a DevOps Engineer, DevSecOps Engineer, Software Engineer with a strong focus on CI/CD, or a similar role.
• Proven track record of building or significantly enhancing CI/CD pipelines.
• Experience configuring and adapting application code to integrate seamlessly with evolving CI/CD environments.
• Experience working fluently with standard containerization deployment technologies like Kubernetes, Terraform, Docker, etc.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP).
• Strong proficiency in scripting and automation (e.g., Python, Bash, PowerShell).
• Familiarity with various CI/CD platforms (e.g., Jenkins, GitLab CI, GitHub Actions, Azure DevOps).
• Knowledge of software architecture, system design, and version control systems.
• Comfort with rapidly changing, fast-paced environments and a passion for finding automated solutions to complex problems.
• Basic understanding of security best practices in software development and an eagerness to integrate them.
• A hunger for learning new technologies, particularly in the realm of integrating ML into automated workflows.
• Strong problem-solving, analytical, collaboration, and communication skills.

Nice to haves

• Experience with containerization technologies (e.g., Docker, Kubernetes).
• Exposure to machine learning lifecycles or MLOps concepts.
• Prior experience in classified environments.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The base salary range for this full‑time position in the location of Washington DC is: $245,600 – $307,000 USD.