DevSecOps Engineer - Contract

TrussWorks, Inc

3d•$80 - $88•Remote

About The Position

Truss is a software development consultancy that builds government technology people actually want to use. Our systems regularly show up in the New York Times, and when we ask our team what they love most about working here, the answer is consistently the same: the people. We’re collaborative, we hold ourselves to high standards, and we care deeply about the craft of making government services work better. We have been a remote-first organization since our inception and are passionate about work-life balance, building impactful teams, and committed to creating environments that encourage collaboration, different points of view, and creative solutioning. Truss is looking for a skilled, hands-on DevSecOps or platform engineer. This person will stand up, secure, and operate the AWS environment that powers AI capabilities on a large federal program, and will support the cloud infrastructure underneath that program's applications more broadly. A secondary part of the role is data engineering for that platform: ingesting and preparing the documents and structured data that AI workflows depend on. You will partner with program engineers who bring deep domain and data knowledge, so this job is the infrastructure and the plumbing, with domain expertise available to you rather than expected of you. You will also be the reference point for AI infrastructure on AWS, so you should be comfortable setting patterns other engineers will follow and supporting more than one application team at a time. The work is meaningful and the team is dedicated, but the program carries real security, privacy, and data retention obligations, and everyone is expected to perform and contribute at a high level. In addition, like everyone at Truss, this person should have excellent communication skills, a collaborative approach, and high emotional intelligence.

Requirements

Experience supporting AI or machine learning models on AWS: provisioning, deploying, and operating AI services in production (e.g., Amazon Bedrock, SageMaker), including the data pipelines that feed them
3+ years of experience in DevSecOps, Platform Engineering, Site Reliability Engineering (SRE), or Cloud Infrastructure Engineering
Experience building and operating cloud-native applications on AWS
Experience with Infrastructure as Code and CI/CD pipeline development
Experience with containerization (Docker) and orchestration (e.g., ECS, EKS)
Experience with identity and access management, secrets management, and cloud security best practices
Strong Python skills and working SQL, with hands-on experience building data pipelines (e.g., S3, Glue, Lambda, Step Functions)
Experience implementing monitoring, logging, and observability solutions
Strong troubleshooting and problem-solving skills
Excellent communication skills
Collaborative approach
High emotional intelligence
Eligible to work in the U.S.
Must live and work within the contiguous U.S.

Nice To Haves

May be required to pass a federal background check at the discretion of the client/project you are placed on.

Responsibilities

Stand up, secure, and operate the AWS environment that powers AI capabilities on a large federal program.
Support the cloud infrastructure underneath that program's applications more broadly.
Perform data engineering for the platform: ingesting and preparing documents and structured data that AI workflows depend on.
Act as the reference point for AI infrastructure on AWS.
Set patterns for other engineers to follow.
Support more than one application team at a time.