Top Tech Jobs & Startup Jobs

Design, implement, and maintain secure CI/CD pipelines, Infrastructure-as-Code (Terraform), and containerized cloud services. Integrate security throughout the SDLC, support deployment and operation of cloud-native data pipelines, manage vulnerabilities and secure configurations, implement cloud security controls and IAM, monitor system performance and compliance, and produce documentation and runbooks while collaborating with cross-functional teams in regulated environments.

Build and scale AI/ML-enabled features across frontend, backend, and data pipelines. Productionize ML models, deploy MLOps workflows, integrate inference APIs, optimize data models, ensure reliability, and collaborate with cross-functional teams for mission-critical analytics.

Design, build, and maintain secure, scalable cloud infrastructure and platform services (primarily in GCP) to support near real-time ingestion, processing, and analysis of high-volume time-series data. Implement containerized workloads, IaC (Terraform/Deployment Manager), CI/CD pipelines, cloud networking, IAM, and Zero-Trust controls. Troubleshoot production systems, collaborate with architects and stakeholders, produce documentation and runbooks, and ensure mission compliance in highly regulated environments.

Lead technical architecture and delivery of a Google Cloud-based, containerized, near real-time data platform. Design scalable, secure distributed systems, guide CI/CD and event-driven integrations, support engineering teams, produce architecture documentation, and liaise with mission stakeholders in a DoW environment requiring active clearance.

The Senior Software Engineer will enhance efficiency in procurement for the Department of War by developing web applications, managing technical delivery, and mentoring team members.

The Solutions Architect will design and implement cloud-based platforms, support architecture decisions, and collaborate with teams to deliver technical solutions for mission-critical systems.

Lead design and delivery of secure, cloud-native AI/ML and data platforms for DoW test & evaluation. Architect AWS-based solutions, drive MLOps and DevSecOps practices, mentor teams, support cloud migration, implement CI/CD and automated testing, and apply Zero Trust and federal cybersecurity controls to mission workflows.