Top Tech Jobs & Startup Jobs

Configure and improve CRM integrations, intake workflows, routing logic, automation, dashboards, and customer lifecycle processes. Translate business and service requirements into secure, auditable workflow capabilities, integrating CRM, ticketing, identity, provisioning, and support platforms. Collaborate with engineering, security, QA, product, governance, and customer-facing teams. Document requirements, process maps, decisions, risks, operating procedures, and delivery evidence while supporting continuous improvement and operational reporting.

Own contractor-side backlog readiness for an AI-focused delivery domain. Translate approved business needs into features, user stories, requirements, and acceptance criteria; lead discovery, stakeholder workshops, backlog refinement, dependency management, decision tracking, and sprint preparation. Collaborate with product, engineering, data science, security, governance, quality, and customer teams while documenting risks, decisions, and delivery evidence. Support senior product leadership and the government product owner in an Agile federal environment.

Designs and maintains production MLOps and LLMOps pipelines across Azure and Databricks environments. Responsibilities include model training, deployment, monitoring, retraining, versioning, CI/CD automation, infrastructure provisioning, model serving, testing, governance, and responsible AI controls. The role partners with data scientists, engineers, security, and governance teams to operationalize reliable, auditable machine learning solutions and troubleshoot production issues.

Builds and maintains secure cloud automation, infrastructure-as-code, CI/CD pipelines, secrets management, release automation, and deployment evidence. The role provisions and secures Azure Government and other cloud environments, supports Databricks platforms, integrates vulnerability and compliance controls, and ensures auditable, resilient deployments aligned with federal standards. Collaboration with security, architecture, SRE, QA, engineering, and government stakeholders is required.

Provides operational and engineering support for enterprise AI capabilities in secure Azure environments. Responsibilities include configuring AI services, managing access, developing CI/CD pipelines and infrastructure as code, implementing monitoring and alerting, troubleshooting production issues, coordinating root cause analysis, supporting security and compliance activities, and maintaining high availability and disaster recovery practices. The role also evaluates emerging AI and DevSecOps technologies, collaborates across technical teams, and maintains operational and governance documentation.

Leads enterprise learning and development initiatives by translating workforce needs into practical capability-building solutions. Designs, develops, facilitates, and evaluates learning experiences across consulting, project management, leadership, professional effectiveness, and collaboration. Partners with business leaders and subject matter experts, integrates learning with workforce and talent strategies, uses modern and AI-enabled learning approaches, and measures program effectiveness and business impact.

Supports enterprise applications by triaging incidents and requests, administering user access and configuration changes, troubleshooting workflows, validating releases, and assisting with testing. Maintains SOPs, FAQs, knowledge articles, and training materials while communicating with users, vendors, technical teams, and business stakeholders. Identifies recurring issues and process improvements to enhance application reliability, service performance, compliance, and user adoption.

Manage the full contract lifecycle for FEMA Public Assistance programs, including procurement, awards, administration, modifications, compliance, performance monitoring, payments, documentation, and closeout. Coordinate with FEMA, clients, contractors, subcontractors, and internal stakeholders to resolve issues and meet contractual objectives. Support proposals, pricing reviews, transitions, and provide guidance to contract administration staff in disaster recovery environments.

Supports software development lifecycle activities for energy efficiency tracking and reporting tools, including requirements, design, testing, delivery, stakeholder coordination, status meetings, process improvement, and user technical assistance. The intern will manage system data, help define requirements and design approaches, coordinate issue resolution, and support senior technologists delivering IT solutions to utility-sector clients.

Develop and operationalize AI, machine learning, NLP, predictive analytics, and generative AI solutions for a federal enterprise data platform. Build reusable AI/ML patterns, agentic workflows, prompt orchestration, MLOps pipelines, monitoring, evaluation, guardrails, and human-in-the-loop processes using Azure, Databricks, MLflow, and Python. Collaborate with engineering, security, governance, and business stakeholders to deliver scalable, trustworthy, governed, and production-ready AI capabilities.