Full Stack Engineer - AWS, AI & Microservices

Spatial Front, Inc

United States

On-site

USD 80,000 - 120,000

Full time

14 days+

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Job summary

Spatial Front, Inc. is seeking a Full Stack Developer to join our team in the United States.

The ideal candidate will bring strong Node.js, TypeScript, modern web application, and AWS engineering expertise to build and modernize secure, high-availability systems and services, APIs, and data integrations in an Agile federal environment. Responsibilities include designing and delivering full stack features, building AWS-based microservices, and implementing AI-enabled capabilities with secure data

Qualifications

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.
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.

Responsibilities

Design, develop, test, deploy, and maintain full stack features, responsive user interfaces, APIs, microservices, and event driven integrations using Node.js, TypeScript, JavaScript, and approved web frameworks.
Build and support AWS cloud native solutions using services such as Lambda, API Gateway, ECS and Fargate, S3, SNS, SQS, CloudFront, and infrastructure as code.
Develop secure and efficient data solutions using Aurora PostgreSQL or PostgreSQL and Elasticsearch or OpenSearch, 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.
Strong, recent experience with Node.js, TypeScript, JavaScript, REST APIs, and a modern single page application framework.
Contribute to planned AI enabled features by integrating approved models and services with secure data access, evaluation, traceability, human review, and responsible AI guardrails.
Experience integrating generative AI or machine learning capabilities using AWS Bedrock or comparable managed services.
Create automated unit and integration tests, participate in code reviews, and 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 throughout discovery, design, delivery, and operations.
Improve application availability, scalability, observability, accessibility, and performance using metrics, logs, traces, and proactive engineering practices.