Sr. Application Developer - Onsite

Mandatory Skills

• AWS GovCloud
• AWS CloudTrail, AWS CloudWatch, AWS RDS, Aurora, PostgreSQL
• AWS API Gateway, AWS Load Balancer, AWS S3, ECS
• AWS Lambda, AWS Glue, MWAA, Airflow, Terraform, AWS API ecosystem
• DevOps, AWS DevOps
• Git, GitLab, Argo CD
• CI/CD Automation, Unit testing, Automated testing
• Authentication, Authorization, Okta, OAuth 2.0, OpenID Connect, OIDC, JWT
• Containerization, Docker, Kubernetes, AWS EKS, Fargate
• Typescript, Angular, React, REST, GraphQL, API, OpenAPI
• Jasmine, Selenium, Postman, Swagger

Description

• Support the development of services utilizing AWS containerized and cloud services.
• Familiarity with Agile processes and roles.
• Experience utilizing CI/CD for building and deploying cloud applications with Python (backend) and Angular (front‑end).
• Lead one or more of the following: database management, programming, cloud security/recovery, cloud‑centric integration.
• Contribute to the design of code and required documentation.
• Responsible for remediation and unit testing of code when issues arise as part of CI/CD, application development, and user deployment.
• Work effectively as part of an Agile team.

Work Experience

AWS DevOps & Systems Engineering

• Proficiency in Terraform to create, secure, manage, update, and maintain AWS GovCloud‑native infrastructure (Glue, RDS/Aurora Postgres, CloudWatch, CloudTrail, S3, ECS, API Gateway, etc.).
• Experience with infrastructure‑as‑code DevOps using Terraform, CI/CD, automated testing, and SRE/DevOps best practices.
• Understanding of central log aggregation using CloudWatch or SPLUNK; implementing logging and auditing for enterprise or legal retention requirements.
• ≥ 3 years in a mid‑ or senior‑level operational role for an AWS‑native solution (preferably GovCloud), including operations, maintenance, tuning, troubleshooting, on‑call rotation, change control, and production operations.
• Preferably federal experience with NIST 800.53 (FISMA).

AWS Data Engineering

• Proficiency in developing, maintaining, monitoring, and operating data pipelines or processing systems in AWS (preferably GovCloud).
• Experience with data replication, ETL to RDBMS, using Python or SQL (e.g., PySpark, pandas, dbt).
• Proficiency with AWS Data Pipeline technologies (Glue or Airflow), RDS Postgres/Aurora Postgres, Aurora/S3.
• Experience developing and testing REST or GraphQL APIs; supporting production APIs used by user‑facing web applications.
• Knowledge of API testing best practices and the AWS API ecosystem (API Gateway, Lambda, etc.).
• Proficiency in CI/CD, automated testing, and DataOps best practices.
• Experience with data quality testing tools (Glue Data Quality, Great Expectations).
• ≥ 3 years as a mid‑ or senior‑level data engineer with operational responsibilities in AWS (preferably GovCloud).
• Preferably federal experience with NIST 800.53 (FISMA).

AWS Front‑End Engineer

• Proficiency in developing, supporting, and maintaining API‑based web applications using Angular or React in Typescript.
• Experience developing and testing REST or GraphQL APIs; supporting production APIs for user‑facing applications.
• Proficiency in CI/CD, automated testing with Selenium, and SRE/DevOps best practices.
• Ability to create highly interactive, data‑driven applications using libraries such as Highcharts, ag‑grid, or Plotly.
• Experience with modern authentication and authorization standards (OpenID Connect, OAuth 2.0) and integrating web applications with Okta, JWT, AWS IAM, and Verified Permissions.
• Proficiency in automated testing frameworks including Jasmine and Selenium.
• Preferred: Experience with mapping and geospatial data (e.g., geocoding), ESRI Online, interactive maps.

Technical Skills

• Bachelor’s degree in Computer Science, Information Technology, or related field; 6 years of experience.
• Amazon Web Services (AWS): ECS, Terraform, CloudTrail, CloudWatch, API Gateway, Load Balancer, S3, RDS/Aurora (PostgreSQL), Lambda, Glue or MWAA (Airflow), GovCloud (plus).
• DevOps: GitLab (or Argo CD), git, CI/CD automation, unit testing, automated testing.
• Authentication & Authorization: Okta, OAuth 2.0, OpenID Connect (OIDC), JWT.
• Containerization: Docker, Kubernetes (AWS EKS, ECS, or Fargate preferred).
• Front‑End Development: Typescript, Angular, React, REST/GraphQL API, Selenium, Postman, Swagger (OpenAPI).
• Data Engineering: Python 3.x with pandas or Spark, AWS Glue or MWAA, data quality testing (Great Expectations, Glue Data Quality).
• Data Visualization: Highcharts, ag‑grid, Plotly.
• Additional pluses: XACTA 360, SPLUNK, experience with federal agencies and NIST 800.53 (FISMA).

Equal Opportunity Statement

VIVA USA is an equal opportunity employer committed to a professional working environment free from discrimination and unlawful harassment. All applicants will be considered without regard to race, sex, religion, age, color, creed, national or ethnic origin, disability, marital status, sexual orientation, veteran status, or any other protected characteristic.