Software Engineer TS/SCI Poly

Programming Tools Business Valuation Software Solutions Development Testing Amazon Web Services Dependency Analysis Application Hosting Software Engineering Software Development Business Intelligence Technology Strategies Cloud-Native Computing Full Stack Development Operational Excellence Technical Requirements Artificial Intelligence Application Development Business Transformation Software Design Patterns Cloud-Native Development C# (Programming Language) Containerized Application Software Quality (SQA/SQC) Java (Programming Language) Google Cloud Platform (GCP) Git (Version Control System) Infrastructure as Code (IaC) Python (Programming Language) Continuous Improvement Process Google Kubernetes Engine (GKE) Software Development Life Cycle Front End (Software Engineering) JavaScript (Programming Language) Object-Oriented Programming (OOP) Application Programming Interface (API), The Senior Software Developer is a hands-on technical contributor responsible for designing, building, modernizing, migrating, deploying, and maintaining high-quality software solutions across client and internal initiatives. This role balances strong software engineering fundamentals with practical Google Cloud Platform experience, including application modernization, cloud migration support, cloud-native delivery, and modern DevOps practices. Success requires depth in at least one primary programming language, strong application design and testing discipline, and the ability to deliver reliable applications and services that operate effectively in cloud environments.

Senior Developers are expected to operate with a high degree of autonomy, contribute to architectural and technical decisions, mentor less-Senior engineers, and actively improve delivery, reliability, and operational excellence across teams.

Top 3 Hiring Priorities

• Strong software engineering fundamentals and depth in a primary language (e.g., Java, Python, C#, JavaScript/TypeScript), demonstrated through clean design, maintainable code, testability, API development, performance awareness, and sound technical trade-offs.
• Practical GCP migration and modernization experience, including assessing existing applications, supporting migration planning, adapting workloads for Google Cloud, and helping teams move from legacy or on-premises environments to cloud-ready architectures.
• Balanced delivery across application development and DevOps practices, including CI/CD, automated testing, Infrastructure as Code with Terraform, containers, Kubernetes/GKE, and operational practices that support reliable production software.

Core Responsibilities

• Design, implement, test, and maintain production-grade software systems aligned with business and technical requirements.

• Build and enhance applications, APIs, services, integrations, and data access layers with attention to clean architecture, maintainability, security, performance, and cloud readiness.

• Contribute across the full software development lifecycle, including analysis, design, estimation, development, testing, deployment, and support.

• Support GCP migration and application modernization efforts by analyzing existing systems, identifying refactoring needs, adapting services for cloud deployment, and validating migrated workloads.

• Collaborate with DevOps, platform, and cloud migration teams to improve CI/CD, deployment automation, infrastructure-enabled delivery, and repeatable migration patterns using tools such as Terraform, containers, and Kubernetes/GKE.

• Actively participate in code reviews, architecture discussions, and technical decision-making, providing clear rationale and trade-off analysis.

• Mentor junior and mid-level developers through code reviews, pairing, and technical guidance.

• Contribute to continuous improvement of engineering practices, including automation, cloud readiness, operational maturity, and supportability., Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools. Related Jobs MarkLogic Developer (SME) Leidos Bethesda, MDOn-Site NoSQL Junit DevOps XQuery Equities Marklogic Operations Governance Purchasing Upskilling Market Data Spring Boot Cryptography Business Logic Key Management System Testing Data Processing Custom Software Ancient History Agile Methodology Analytical Method Time Off Management Security Engineering Signals Intelligence Business Requirements Object-Oriented Design Angular (Web Framework) Application Development SQL (Programming Language) Agile Software Development Java (Programming Language) Computer Network Operations Cascading Style Sheets (CSS) Python (Programming Language) Service-Oriented Architecture Software Development Life Cycle Extensible Markup Language (XML) HyperText Markup Language (HTML) JavaScript (Programming Language) Resource Description Framework (RDF) Application Programming Interface (API) SPARQL Protocol And RDF Query Language (SPARQL) Top Secret-Sensitive Compartmented Information (TS/SCI Clearance) +0 Software Engineer Leidos Bethesda, MDOn-Site Unix JIRA Junit DevOps Github Jenkins Equities Scripting Operations Automation Innovation Purchasing User Story Upskilling Market Data Spring Boot Cryptography Key Management System Testing Katalon Studio Version Control Microsoft Azure Ancient History Software Testing Spring Framework Agile Methodology Analytical Method Software Solutions Amazon Web Services Time Off Management Security Engineering Software Engineering Atlassian Confluence Signals Intelligence Bash (Scripting Language) Agile Software Development Java (Programming Language) Google Cloud Platform (GCP) Computer Network Operations Standard Operating Procedure Scrum (Software Development) Python (Programming Language) Software Development Life Cycle JavaScript (Programming Language) Top Secret-Sensitive Compartmented Information (TS/SCI Clearance) +0

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DevOps Tooling Planning Debugging Terraform Pipelines Operations Automation TypeScript Resilience Kubernetes API Design Code Review Scalability Reliability Testability Operability Data Access Cloud DevOps Cloud Design Communication Observability Cloud Hosting Test Strategy Technical Debt Test Automation Microsoft Azure Data Structures Decision Making Code Generation Maintainability Data Processing Cloud Migration Customer Service Managed Services Computer Science Software Systems, * Very strong expertise in at least one primary programming language, such as:

o Java, C#, Python, JavaScript/TypeScript, or equivalent

• Demonstrated ability to design clean, maintainable, well tested codebases, including strong familiarity with automated testing (unit/integration) and ownership of component level test strategy for the systems they build and support.

• Strong understanding of software engineering fundamentals, including:

o Data structures and algorithms

o API design and integration

o Modular and layered architectures

o Object-oriented, functional, and service-oriented design patterns

o Performance and scalability considerations

o Debugging, refactoring, code review, and technical debt reduction

Application Breadth

• Strong preference for backend and cloud-native development experience, with hands-on work across:

o APIs, services, integrations, and data access layers

o Cloud-hosted application components and distributed service patterns

o Containerized application delivery and runtime considerations

• Front-end experience is a plus, but this role is primarily focused on backend, API, service, and cloud-enabled application development with enough platform awareness to support migration and modernization work.

DevOps & Delivery Practices

• Strong experience with modern DevOps practices, including:

o CI/CD pipelines

o Infrastructure as Code (IaC), especially Terraform

o Automated testing and deployment

o Observability, logging, and monitoring

• Practical experience supporting software delivery with tools and platforms such as Git, CI/CD platforms, containers, Kubernetes, and GKE.

• Ability to work effectively with platform and infrastructure concerns, including deployment patterns, environment configuration, and operational support.

• A mindset focused on operability, reliability, and automation, not just code delivery.

GCP Migration & Cloud Platform Experience

• Strong experience with Google Cloud Platform is preferred, including migrating, modernizing, building, deploying, and supporting applications in GCP environments.

• Experience supporting cloud migration and modernization activities, including workload assessment, dependency analysis, application refactoring, environment configuration, data/service integration, and post-migration validation.

o GCP services relevant to application hosting, integration, migration, runtime operations, and modernization

o Networking, security, and identity concepts

o Managed services across compute, storage, and supporting platform capabilities

o Scalability, resilience, and supportability considerations

o Migration patterns such as rehosting, replatforming, refactoring, containerization, and incremental modernization

• Experience with AWS or Azure is a plus, but stronger depth in GCP is preferred for this engagement.

AI Skills & Tool Usage

• Demonstrated experience using AI assisted development tools to improve productivity, quality, and learning (e.g., code generation, refactoring, testing, documentation).

• Basic familiarity with AI enabled application patterns, such as:

o Integrating hosted AI services or APIs

o Using AI for data processing, search, or automation use cases

• Ability to evaluate AI tools pragmatically, understanding benefits, limitations, and responsible use within enterprise and client contexts.

• Willingness to continuously upskill as AI tooling and platforms evolve

Professional Expectations

• Owns complex and/or ambiguous features end to end, drives technical decisions within scope, and mentors others through that ambiguity.

• Communicates clearly with both technical and non technical stakeholders.

• Comfortable working across multiple projects or domains as GE NA demand shifts.

• Balances delivery speed with code quality, stability, and long term maintainability.

• Contributes positively to team culture and knowledge sharing., * Typically 7+ years of professional software development experience (or equivalent demonstrated capability).

• Bachelor's degree in Computer Science, Engineering, or related field preferred, or equivalent practical experience.

• Relevant technical certifications (cloud, DevOps, etc.) are a plus but not required.

We reserve the right to pay above or below the posted wage based on factors unrelated to sex, race, or any other protected classification. Additional earnings may be available through incentive programs like annual bonuses, profit sharing, etc. Our full-time, internal employment benefits include the following:

• Medical, Dental, and Vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available
• Life Insurance (Voluntary Life and AD&D for employee and dependents)
• Short and Long-Term Disability
• Health Spending Account (HSA)
• Transportation Benefits
• Employee Assistance Program
• Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type

Think of TEKsystems Global Services (TGS) as the growth solution for enterprises today. We unleash growth through technology, strategy, design, execution and operations with a customer-first mindset for bold business leaders. We deliver cloud, data and customer experience solutions. Our partnerships with leading cloud, design and business intelligence platforms fuel our expertise. We value deep relationships, dedication to serving others and inclusion. We drive positive outcomes for our people and our business, and we stay true to our commitments and act in harmony with our words. We exist to create significant opportunity for people to achieve fulfillment through career success., We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company., We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.