
501 - 1000 employees
🤝 B2B
🏢 Enterprise
☁️ SaaS
B2B • Enterprise • SaaS
Spatial Front, Inc. is an industry leader in delivering cutting-edge technical solutions and mission support services, dedicated to advancing businesses into the 21st century. Founded in 2008 and headquartered in Bethesda, MD, with offices in McLean, VA and Oklahoma City, OK, the company has been recognized as an Inc 5000 Honoree for five consecutive years. Spatial Front is a woman-owned, SBA 8(a) certified small business with numerous certifications, including CMMI-DEV Level 3 and ISO 27001. The company partners with leading technology firms like Amazon AWS and Microsoft, and specializes in areas such as DevOps, AI, cloud computing, and more, offering tailored solutions in system engineering, big data, and emerging technologies.
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501 - 1000 employees
🤝 B2B
🏢 Enterprise
☁️ SaaS
B2B • Enterprise • SaaS
Spatial Front, Inc. is an industry leader in delivering cutting-edge technical solutions and mission support services, dedicated to advancing businesses into the 21st century. Founded in 2008 and headquartered in Bethesda, MD, with offices in McLean, VA and Oklahoma City, OK, the company has been recognized as an Inc 5000 Honoree for five consecutive years. Spatial Front is a woman-owned, SBA 8(a) certified small business with numerous certifications, including CMMI-DEV Level 3 and ISO 27001. The company partners with leading technology firms like Amazon AWS and Microsoft, and specializes in areas such as DevOps, AI, cloud computing, and more, offering tailored solutions in system engineering, big data, and emerging technologies.
• Design, develop, test, deploy, and maintain full stack features, responsive user interfaces, APIs, microservices, and event-driven integrations • Build and support AWS cloud-native solutions • Develop secure and efficient data solutions, including data migration, indexing, query optimization, and integration patterns • Modernize legacy services and applications for AWS while maintaining operational continuity, data integrity, performance, and backward compatibility • Integrate approved AI models and services with secure data access, evaluation, traceability, human review, and responsible AI guardrails • Create automated unit and integration tests and participate in code reviews • Support CI/CD pipelines, release validation, production monitoring, troubleshooting, and defect resolution • Collaborate with program stakeholders, product managers, architects, business analysts, QA engineers, DevSecOps engineers, and developers • Improve application availability, scalability, observability, accessibility, and performance using metrics, logs, traces, and proactive engineering practices
• Bachelor's degree in computer science, engineering, information systems, or a related field • Five or more years of backend or full stack application development experience • Strong, recent experience with Node.js, TypeScript, JavaScript, REST APIs, and a modern single-page application framework • Hands-on experience with AWS Lambda, API Gateway, ECS or Fargate, CloudFormation, S3, SNS, and SQS • Experience designing microservices, serverless applications, asynchronous workflows, and event-driven integrations • Experience with PostgreSQL or Aurora PostgreSQL and Elasticsearch or OpenSearch, including data modeling and performance tuning • Experience with automated testing, Git-based development, code reviews, CI/CD pipelines, and production troubleshooting • Understanding of cloud security, IAM, encryption, logging, API protection, vulnerability remediation, and secure coding practices • Must be a US Citizen and/or Current Green Card Holder • Must pass a complete background check, including criminal history, education verification, professional certification verification, previous employment verification, and credit history • Public Trust background investigation requires fingerprinting • Desired: experience supporting DOT or other federal applications and compliance environments • Desired: experience modernizing legacy applications and migrating services or databases to AWS • Desired: experience with Docker, container orchestration, CloudWatch, distributed tracing, and operational observability • Desired: experience with Python and data processing or analytics workflows • Desired: knowledge of retrieval augmented generation, embeddings, vector search, prompt design, model evaluation, responsible AI controls, and human-in-the-loop workflows • Desired: experience with Section 508 and USWDS-based application development • Desired: AWS Developer, Solutions Architect, DevOps Engineer, AI Practitioner, or Machine Learning certification
• W2 employment • Benefits information provided via SFI's careers page • Equal-opportunity employer • E-Verify participation
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