Junior Software Engineer

MetaPhase Consulting • Reston, VA

6d • Hybrid

About The Position

At MetaPhase, we believe Quirky is Cool and being authentic is the only way to be! We take the work we do very seriously and do a lot of important mission-focused work for our clients. We are individuals with different passions and strengths who take as much joy in the work we do as from those we work with. Today, we have a team that is invested in creating new solutions that lean forward, challenge the status quo, but also reflect our intimate knowledge of our customers’ business. Over the years we have fostered a culture in which we are united by shared values—passion, solidarity, generosity, curiosity, and boldness—and these come alive in the work we do and how we do it. Together, we know our people are our difference —for our clients and our colleagues. Are you ready to: Work alongside a dedicated and diverse set of people to offer honest advice and practical guidance to our clients? Learn and grow by taking advantage of every opportunity available to you? Join a company which prides itself on its shared values and inclusive culture? Be the difference and make it happen? MetaPhase is looking for a Jr-Software Engineer, a sharp, motivated engineer who thrives at the intersection of customer mission needs, modern software engineering, and cloud-native delivery. As a Software Engineer, you will be forward deployed and work directly with customers and mission users to rapidly understand challenges, translate needs into working solutions, and deliver capabilities that can evolve with the mission. You will build across cloud infrastructure, application services, APIs, data, automation, and user experiences using modern engineering practices. This is not a passive support role. You will engage customers, prototype and build solutions, deploy and operate production capabilities, and continuously refine them based on real-world feedback. You will use AI-assisted tools daily to accelerate development, testing, documentation, troubleshooting, analysis, and operational workflows, while applying human judgment, secure engineering practices, and automated quality checks. You will also explore and apply generative and agentic AI patterns where they can improve mission outcomes, engineering productivity, and user experience. The environment may include AWS or Azure, cloud-native services, APIs, containers, CI/CD, infrastructure as code, modern web applications, data platforms, and automation frameworks. Experience with React, TypeScript, JavaScript, Python, PostgreSQL, GitHub Actions, Terraform, or similar technologies is valuable. You do not need to be an expert in every technology. You need to be capable, curious, customer-oriented, and willing to learn and adapt quickly.

Requirements

• 2 to 4 years of experience in software engineering, application development, cloud engineering, Dev Sec Ops , platform engineering, or a related technical discipline
• Hands-on experience building, deploying, integrating, or supporting modern applications in a cloud environment
• Working knowledge of cloud platforms such as AWS or Azure, including compute , networking, identity and access management, storage, monitoring, logging, and security fundamentals
• Experience with Git, GitHub, CI/CD, automated testing, and modern software development practices
• Ability to debug across application, API, database, cloud, and deployment layers; comfortable connecting technical issues to user and mission outcomes
• Genuine enthusiasm for generative AI, agentic AI, and AI-assisted software engineering, with curiosity about how these capabilities can improve the way teams design, build, test, and operate software
• Must be located in the Washington, DC metro area and available to work from MetaPhase headquarters in Reston, Virginia four days a week.
• U.S. Citizenship is required.

Nice To Haves

• Experience with AWS or Azure certifications, or active pursuit of one
• Experience with modern programming languages and frameworks such as Python, TypeScript, JavaScript, React, .NET, or similar technologies
• Familiarity with cloud-native architectures, containers, APIs, serverless services, infrastructure as code, DevSecOps , or SRE practices
• A GitHub profile, portfolio, personal project, or demo that shows you build, experiment, and ship real things
• Experience working directly with customers, product owners, mission users, or cross-functional teams to discover needs and shape technical solutions
• Experience applying generative AI, agentic workflows, AI coding assistants, or automated engineering tools in a software delivery environment

Responsibilities

• Work directly with customers and mission users to understand operational challenges, clarify needs, and translate them into practical technical solutions
• Rapidly prototype, build, test, and deploy working capabilities using cloud-native architectures, reusable components, APIs, automation, and modern development frameworks
• Design, develop, integrate, troubleshoot, and improve application functionality across front-end, back-end, data, API, and cloud service layers
• Build and maintain CI/CD pipelines, infrastructure as code, automated tests, observability, security controls, and deployment workflows that support frequent, reliable delivery
• Use AI-assisted tools daily to accelerate development, testing, documentation, troubleshooting, and operational workflows; apply generative and agentic AI thoughtfully with human review and quality controls
• Partner with customers throughout delivery, demonstrating working software early, incorporating feedback quickly, and refining solutions as mission needs evolve
• Participate in code reviews, pull requests, architecture discussions, technical discovery, and release coordination within a modern Git-based engineering workflow

Benefits

• Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $75,000 - $100,000.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level