Top Tech Jobs & Startup Jobs

Design, build, and automate secure, scalable AWS cloud infrastructure and containerized workloads (EKS). Implement IaC, security/compliance controls (DISA STIGs), and CI/CD to enable development teams. Act as cloud SME, collaborate on cloud-native solutions, and support hybrid/private cloud integrations.

Act as primary quality and testing authority for data products: design and run test plans for pipelines, APIs, and data products; validate discoverability in ACDC, API access, and metadata; advocate data mesh adoption; create consumer documentation and tutorials; gather feedback to drive continuous improvement.

Lead analysis, design, and configuration of SAP FSCM solutions (Credit Management, Biller Direct, Dispute and Collections). Gather requirements, build configuration, develop test strategies, create RICEFW and process documentation, manage complex test cycles, integrate SAP processes, collaborate with technical teams, and mentor junior staff.

Lead technical migration of multiple SAP ECC systems into a consolidated SAP S/4HANA core. Configure and operate migration tools (e.g., SNP CrystalBridge), analyze system scans, advise on data harmonization and consolidation strategies, identify risks and mitigations, coordinate with functional, data, and third-party teams, and mentor junior staff.

Designs and implements cybersecurity solutions for federal systems, integrating security into the DevSecOps lifecycle. Implements NIST controls, conducts risk and vulnerability assessments, manages SIEM/IDS/firewalls, leads threat modeling and security testing, automates CI/CD scans, and executes incident response. Develops security policies, maintains compliance documentation, and drives Zero Trust architecture and threat intelligence efforts.

Lead and mentor a team of data governance analysts to operate the enterprise data catalog, monitor and remediate data quality, build governance dashboards (Tableau/Power BI), partner with data stewards to document business terms and lineage, and report governance status to leadership.

Design, build, and maintain AI/ML lifecycle services and infrastructure. Implement training, validation, deployment, and model serving. Create reusable libraries, orchestration, automated pipelines, monitoring, explainability, and version control. Apply MLOps practices, optimize models for scale, collaborate with data engineers, and provide technical guidance and troubleshooting.

Lead design, implementation, and operation of secure, highly available multi‑cloud and hybrid environments. Implement IaC, automation, monitoring, cost optimization, disaster recovery, and cloud governance; serve as senior escalation point and provide cloud expertise across teams supporting federal, security‑sensitive systems.

Design, implement, and maintain cloud infrastructure and platform services. Manage Kubernetes, Helm, container orchestration, CI/CD pipelines, configuration management, Terraform/Ansible/Puppet, RedHat Linux, and AWS IAM. Ensure reliability, scalability, security (DevSecOps), cost optimization, and cross-team collaboration. Troubleshoot complex issues and drive continuous improvement.

Maintain and manage system requirements lifecycle: elicit, document, baseline, trace, control changes, and verify requirements. Create verification matrices and status reports, develop requirements management tools/processes, train team members, and ensure requirements align with program objectives and constraints for large technical programs.