Mid-Level Software Engineer - Full Stack

Mid-Level Software Engineer - Full Stack

Software Guidance & Assistance, Inc., (SGA), is searching for a Mid-Level Software Engineer - Full Stack for a contract assignment with one of our premier regulatory clients in the DMV area. Responsibilities include full stack development.

Responsibilities

Design and develop scalable full stack applications with Angular frontends and microservices-based backends

Build performant, secure RESTful and GraphQL APIs using modern backend frameworks (Java/Spring Boot, Python/FastAPI)

Develop responsive, accessible frontends using Angular and TypeScript

Collaborate with data engineers, security teams, and business analysts to translate regulatory requirements into technical solutions

Responsibly adopt and leverage AI-assisted development tools (AWS Kiro or others) while maintaining code quality standards and information security hygiene

CI/CD & Infrastructure

Design and maintain CI/CD pipelines using tools such as Jenkins and Gitlab

Implement infrastructure-as-code and containerized deployments for AWS services like Fargate and Lambda

Integrate automated testing (unit, integration, E2E) and security principles into delivery pipelines

General Engineering Skills

Lead code reviews, establish best practices, and contribute to architectural decisions

Ensure all systems meet technology compliance, audit, cybersecurity, and data governance standards

Required Skills

Bachelor's degree in Computer Science, Software Engineering, or related field

5-7 years of professional software engineering experience

Strong proficiency in backend languages: Python and/or Java

3+ years of production experience with Angular (latest versions), TypeScript, RxJS, and state management (NgRx)

Experience designing and implementing RESTful APIs and/or GraphQL services

Hands-on experience with AWS services (Lambda, ECS, API Gateway, S3, RDS, DynamoDB) and containerization (Docker)

Proficiency with both relational (PostgreSQL) and NoSQL (MongoDB, DynamoDB) databases

Solid understanding of application security principles (OWASP Top 10, secrets management, least-privilege access)

End-to-end ownership of features from UI to database

Strong debugging and troubleshooting skills across the full technology stack

Strong understanding of RESTful APIs and supporting API-driven platforms

Ability to balance business needs, technical constraints, and scalability

Excellent collaboration and communication skills with cross-functional teams

Strong commitment to automated testing and code quality

Preferred Skills

Experience in regulatory or financial services environment

Experience building human-in-the-loop review systems, annotation platforms, or approval workflows for AI outputs

Familiarity with event-driven architectures and messaging systems (Kafka, AWS SQS/SNS, Kinesis)

Exposure to observability and log tooling (Splunk, Datadog, Grafana, CloudWatch) including AI/ML model monitoring

Experience with microservices patterns (circuit breakers, service mesh, distributed tracing)

Experience with feature flagging, canary deployments, or progressive delivery strategies

Contributions to open-source projects or technical publications in AI/ML domains

SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work.