Mid-level Back-End Software Engineer (TS/SCI)

Vantor•Herndon, VA

6d•Onsite

About The Position

Vantor is seeking an experienced Back-End Software Engineer to support the design, development, integration, and sustainment of a large-scale data analytics platform for a U.S. Government customer. The engineer will develop and maintain scalable, secure, high-performance server-side applications, services, APIs, and supporting software components for data ingestion, processing, integration, and analytics. The role is part of a multidisciplinary Agile team and collaborates with data engineers, data scientists, front-end developers, systems engineers, and government stakeholders to deliver mission-focused software throughout the software development lifecycle. The role requires U.S. citizenship and an active TS/SCI clearance; willingness to obtain a CI poly is also required. Employment is contingent upon verification of clearance status. The engineer must work onsite at least 75% of the time, or as needs dictate, in Herndon, Virginia, or Westminster, Colorado.

Requirements

U.S. citizenship and an active TS/SCI clearance; willingness to obtain a CI poly.
Bachelor's degree in computer science, software engineering, information systems, or a related field.
At least 8 years of total professional experience in a technical support role.
Demonstrated experience in software engineering, back-end application development, or a related technical discipline.
Strong proficiency in at least one modern back-end programming language, such as Python, Java, Go, or C#, with experience developing production-quality software.
Experience designing and developing RESTful APIs, server-side applications, and distributed software components.
Proficiency with relational and/or NoSQL databases.
Willingness to work onsite at least 75% of the time, or as needs dictate, in Herndon, VA, or Westminster, CO.

Nice To Haves

Experience developing microservices and distributed applications using Spring Boot, FastAPI, Flask, .NET, or similar technologies.
Familiarity with big data technologies and distributed processing frameworks such as Apache Spark, Hadoop, Kafka, or Elasticsearch.
Experience with cloud platforms and services, particularly AWS, Microsoft Azure, or Google Cloud Platform.
Familiarity with Docker, Kubernetes, or other containerization and orchestration technologies.
Experience with CI/CD pipelines, Git-based version control, automated testing, and DevSecOps practices.
Knowledge of software security principles, secure coding practices, and application security frameworks such as OAuth 2.0 and OpenID Connect.
Experience with Agile/Scrum methodologies, automated software testing, and infrastructure-as-code tools.
Experience supporting government, defense, intelligence, or other regulated environments.

Responsibilities

Design, develop, test, and maintain scalable server-side applications, services, microservices, and supporting software components.
Develop and maintain RESTful APIs and service interfaces that integrate data platforms, applications, databases, and external systems.
Build software components and services supporting data ingestion, processing, querying, access, and analytics across distributed data environments.
Optimize application performance, troubleshoot complex software issues, and implement security, authentication, authorization, and error-handling mechanisms.
Participate in technical design reviews, code reviews, automated testing, CI/CD activities, and Agile development ceremonies.
Collaborate with cross-functional engineering teams to deliver and sustain platform capabilities.