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Cloud Engineer

electrosoft

Arlington, VA (hybrid)
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Job at a glance

Arlington, VA (hybrid)
Location
Hybrid
Work arrangement
electrosoft
Employer
Cloud Engineer jobs
Category

Electrosoft Services, LLC is an award-winning company that provides comprehensive technology-based solutions and services to federal customers. While cybersecurity is our specialty, we also focus on ICAM, Zero Trust, digital engineering and transformation, and enterprise AI and intelligent automation. We always seek to delight our customers, so we retain highly qualified employees and offer them meaningful work, growth opportunities, and work-life balance.

What sets us apart from all other contractors is the sense of  teamwork  our employees feel – and the knowledge that outstanding effort is recognized and rewarded.  The camaraderie we share emanates from Lunch & Learn sessions where we explore new ideas together, fun group activities ranging from escape rooms to miniature golf, and much, much more. If we’ve described you and your dream workplace, please apply and share in the many benefits and opportunities we offer.

Cloud Engineer The Cloud Engineer serves as the senior technical expert responsible for designing, developing, modernizing, and sustaining cloud-native applications, databases, APIs, and automated data-processing solutions supporting customer digital transformation initiatives. This role supports the development and operation of cloud-hosted services, Databricks-enabled analytics environments, AI delivery platforms, and enterprise Data-as-a-Service capabilities.

The Cloud Engineer works closely with program leadership, federal stakeholders, architects, engineers, developers, and data teams to deliver secure, scalable, and resilient solutions that align with customer and Federal cybersecurity requirements. Responsibilities and Duties Design, develop, deploy, and maintain cloud-native software applications, APIs, data services, and enterprise solutions supporting mission requirements.

Serve as the senior technical lead for software and database development activities supporting cloud modernization and AI-enabled service delivery initiatives. Architect and develop applications utilizing modern cloud-native design patterns, microservices, serverless computing, and containerized deployments. Design, build, and maintain scalable Databricks solutions utilizing Delta Lake, Workflows, Structured Streaming, SQL Warehouses, and Unity Catalog.

Develop and optimize enterprise data pipelines supporting data ingestion, transformation, analytics, machine learning, and reporting capabilities. Design and maintain robust relational and NoSQL database solutions supporting operational and analytical workloads. Develop secure REST APIs, web services, and application integrations supporting enterprise data exchange and interoperability requirements.

Implement and optimize cloud-hosted solutions using AWS services including Lambda, S3, IAM, KMS, CloudWatch, Glue, ECS, EKS, Step Functions, and related services. Support integration of AI, machine learning, and agentic AI capabilities into enterprise applications and data platforms. Design and implement CI/CD pipelines, automated testing frameworks, infrastructure automation, and deployment workflows.

Collaborate with product owners, architects, developers, and federal stakeholders to define technical requirements and solution designs. Support Agile software development activities including sprint planning, backlog refinement, solution demonstrations, and iterative delivery. Develop secure software solutions in accordance with Zero Trust architecture principles and secure software development practices.

Perform software testing, integration testing, performance testing, and production validation activities. Optimize database performance, query execution, indexing strategies, and storage architectures. Develop technical documentation including architecture diagrams, design specifications, interface control documents, and operational procedures. Support application modernization initiatives, including migration of legacy systems and services to cloud-native env

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