Own the Outcome
Take responsibility for what the client experiences—not only the task assigned.

JJT is building teams for cloud, data, AI, security, automation and program delivery work where technical depth and professional accountability matter equally.
JJT's culture is designed around clear responsibility, continuous learning, professional communication and respect for the mission behind the technology.
Take responsibility for what the client experiences—not only the task assigned.
Keep learning across cloud, security, data, AI, automation and modern engineering practices.
Make risks, decisions and dependencies visible before they become delivery surprises.
Understand that reliability, security and usability can have operational consequences.
Roles span strategy, architecture, engineering, data, AI, security, operations and delivery leadership.
Explore 24 open roles across cloud, modernization, security, data, AI/ML, FinOps and operations. Choose a job category or search by skill to find the right opportunity.
Leads end-to-end execution of complex cloud and technology delivery and serves as the contractor’s primary point of contact for agency stakeholders, technical leads, subcontractors,…
Bridges executive program management and technical execution; manages cross-disciplinary architecture, engineering, security, migration, and operational dependencies.
Elicits business, functional, technical, and operational requirements; aligns cloud services with agency mission needs; and supports traceability from requirements through acceptance.
Defines enterprise cloud strategy, target-state architecture, technical standards, reference architectures, and multi-year modernization roadmaps across multi-cloud and hybrid environm…
Converts enterprise architecture into implementable solution designs for specific applications, workloads, integrations, migrations, or cloud platforms.
Builds, configures, secures, automates, and supports cloud infrastructure and platform services.
Designs and implements secure connectivity, interoperability, performance, and operational integration between on-premises, private-cloud, and public-cloud environments.
Leads technical discovery, migration strategy, wave planning, risk management, and target-state design for workloads moving to or between cloud environments.
Performs the hands-on technical activities required to move servers, applications, databases, storage, and configurations to the target cloud environment.
Modernizes legacy applications through cloud-native, container, API, microservice, serverless, and platform-as-a-service patterns.
Designs and operates secure software-delivery pipelines, automated infrastructure deployment, policy enforcement, and security testing integrated throughout the development lifecycle.
Creates standardized, repeatable, version-controlled infrastructure and configuration deployments across cloud and hybrid environments.
Designs, implements, validates, and documents security controls for cloud, hybrid, data, application, and AI/ML environments.
Establishes cloud governance, control frameworks, policy standards, compliance evidence processes, and operational accountability mechanisms.
Defines target-state data architecture, data platform design, integration patterns, security model, and governance approach for analytics and operational data environments.
Builds and operates secure, reliable data pipelines that ingest, transform, validate, deliver, and monitor data across source systems and cloud data platforms.
Assesses, migrates, optimizes, secures, and supports enterprise databases throughout cloud migration and modernization initiatives.
Establishes the policies, roles, processes, metadata practices, data-quality controls, privacy protections, and stewardship model required to manage data as an agency asset.
Leads AI strategy, use-case prioritization, target architecture, platform selection, solution design, risk management, and responsible-AI integration.
Develops, trains, tests, deploys, and monitors predictive models and AI solutions that address approved agency use cases.
Builds secure, production-ready generative-AI applications using large language models, retrieval-augmented generation, vector search, prompt engineering, evaluation, and guardrails.
Implements the automated processes, infrastructure, governance, and monitoring needed to reliably deploy, manage, retrain, validate, and retire machine-learning models.
Establishes financial accountability for cloud consumption, identifies and realizes cost savings, implements cost governance, and provides leadership with cloud-spend transparency.
Maintains reliability, observability, capacity, performance, incident response, and operational automation for cloud and hybrid services after implementation or migration.
Role requirements vary by engagement. JJT keeps the candidate path focused on capability, accountability, operating context and mutual fit.
Understand the responsibilities, experience expectations and environment before investing in the application.
Discuss the work you have owned, the decisions you made and how you handled delivery constraints.
Confirm work location, client requirements, clearance needs, compensation and benefits before a final decision.
The role listing provides the baseline. Engagement-specific conditions are confirmed during the recruiting process.
Current listings are presented as remote. Location, travel, client-site and engagement-specific requirements are confirmed during recruiting.
Requirements vary by role and client environment. Any clearance or eligibility requirement should be confirmed before placement.
Compensation and benefits are role- and engagement-specific and should be discussed before a candidate is asked to make a decision.
Contact info@jjtassoc.com or +1 470-256-0558 and describe the assistance needed for the application process.