Top Tech Jobs & Startup Jobs

Lead a team to design and build automation frameworks, CI/CD pipelines, and reusable Terraform modules for data platforms. Implement testing, monitoring, and IaC, collaborate with Data Engineering and AI/ML teams, prototype automation tools, and script repetitive tasks to reduce manual toil and accelerate delivery.

Administer and operate a self-hosted ServiceNow (Zurich) platform on AWS, managing RHEL9 and Windows servers, EC2, RDS, ALBs, and security groups. Perform upgrades, incident response, and platform modernization. Deploy and integrate ServiceNow AI features with AWS Bedrock/LLM backends, support MCP configuration, and collaborate on integrations and POCs.

Design, configure, and optimize end-to-end SAP Project Systems processes. Partner with finance, operations, and compliance to implement WBS/networks, budgeting, cost controls, integrations (FI/CO, FM, MM, SD, HCM), create functional specs, support testing and training, ensure auditability and regulatory compliance, and troubleshoot system issues.

Design and configure Oracle EBS financial modules (Procure-to-Pay), develop functional specifications, support RICEW objects, troubleshoot production issues, create user documentation and support testing and code migration.

Design, implement, and manage secure, scalable cloud services for mission systems. Build IaC-driven deployments, automate operations, integrate automation and AI/ML services, optimize performance and cost, and monitor and resolve issues across cloud environments to support federal mission requirements.

Design, implement, and maintain secure cloud infrastructure and CI/CD pipelines for AWS/ hybrid environments. Build IaC (Terraform/Ansible/CloudFormation), automate deployments with scripting (Bash/Python/PowerShell), enforce security controls and compliance (NIST, DISA STIGs, FedRAMP), monitor systems, and troubleshoot across the stack to support national security missions.

Manage and optimize database systems: design schemas, implement backups/DR/HA, tune performance, secure access, monitor health, automate administration, integrate databases with data pipelines, and evaluate new database technologies.

Lead and manage an ML Models-as-a-Service team to define vision, build and deploy production ML models and APIs, establish MLOps and CI/CD pipelines, enforce governance and security, collaborate with stakeholders, and oversee project delivery and resource allocation across the model lifecycle.

Design, build, and optimize full-stack software solutions for classified government programs. Implement APIs, microservices, data ingestion/transformation, and front-end visualizations. Ensure performance, reliability, and compliance with cybersecurity, data governance, and information assurance standards while working in Agile with multidisciplinary teams.

Design and govern the platform data ecosystem: establish enterprise data models, define storage standards (lakes/warehouses/databases), architect ingestion and ETL/ELT pipelines, ensure data governance, quality, and protection, and enable FAIR data for analytics and AI/ML at scale.