Remote Senior Full-Stack Engineer | AWS & DevSecOps

Index Analytics; Baltimore (MD); Hybrid; USD 134,900 - 185,850; Full time

Job summary

Index Analytics, LLC is seeking a Senior Full Stack Engineer to design, develop, and maintain cloud-based web applications across the front end, back end, and database layers.

Working closely with engineers, product stakeholders, and cross-functional partners, this person will translate business requirements into scalable, well-tested, user-focused features; build and integrate RESTful APIs; and implement efficient data access patterns with relational databases.

Qualifications

• US citizen or Authorized to Work in the US with ability to obtain a government badge.
• Eight+ years of relevant experience with a Bachelor’s or six+ with a Master.
• Experience building full stack apps with modern frameworks, relational databases, and RESTful APIs.
• Strong SQL and Python experience; AWS cloud-native applications.
• Familiarity with DevSecOps, secure development, access controls, and auditability.

Responsibilities

• Design, develop, test, and maintain full stack web applications across frontend, backend, and database layers.
• Develop and consume RESTful APIs to enable integration between applications.
• Collaborate with infra and application teams to deploy and support in AWS.
• Maintain and improve CI/CD pipelines and IaC templates.
• Follow security and privacy best practices and document remediation steps.

Skills

SQL

Python

RESTful APIs

AWS

DevSecOps

Education

Bachelor's degree

Master's degree

Tools

Jenkins

CI/CD

S3

Aurora

CloudWatch

Job description

Index Analytics, LLC is seeking a Senior Full Stack Engineer to design, develop, and maintain cloud-based web applications across the front end, back end, and database layers.

Working closely with engineers, product stakeholders, and cross-functional partners, this person will translate business requirements into scalable, well-tested, user-focused features; build and integrate RESTful APIs; and implement efficient data access patterns with relational databases.