Program Manager
Leads end-to-end program execution and serves as the contractor’s primary point of contact for agency stakeholders, technical leads, partners, and internal delivery personnel.
Join a technology team supporting program delivery, cloud and data management, AI/ML, DevOps, application development, business intelligence, and enterprise network solutions.
View Open PositionsLaTronic Solutions brings professionals together to solve complex technology challenges with clarity, accountability, and a focus on measurable outcomes for government and enterprise clients.
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Leads end-to-end program execution and serves as the contractor’s primary point of contact for agency stakeholders, technical leads, partners, and internal delivery personnel.
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 environments.
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.
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Our culture emphasizes collaboration, ownership, technical excellence, and the belief that strong execution should create meaningful client outcomes.
Contribute to technology initiatives where performance, reliability, and measurable outcomes matter.
Build expertise across cloud, data, AI/ML, DevOps, application development, and enterprise technologies.
Work with teams that value clear communication, ownership, respect, and follow-through.