Full Stack Software Developer with Security Clearance
Why This Role Stands Out
This hybrid Full Stack Software Developer role offers an exciting opportunity to shape modern data architectures and build robust backend systems, perfect for a proactive developer eager to enhance their skills in Python, Angular, and AWS within a collaborative team environment. You'll thrive here if you possess strong problem-solving abilities and a passion for driving engineering excellence, contributing directly to critical projects with a leading company. Apply now to leverage your expertise and grow your career in a dynamic setting.
Quick Overview
Job Description
Responsibilities:
Design, build, and maintain backend services and platform components for a modern data architecture
Build integrations with internal and external data sources, APIs, and event streams
Partner with data engineering, analytics, and product managers to define scalable data models and platform capabilities
Improve reliability, observability, and performance of data workflows and backend services
Implement best practices for testing, monitoring, logging, and deployment
Contribute to architecture decisions around storage, orchestration, metadata management, and access patterns
Help establish engineering standards for code quality, documentation, CI/CD, and operational excellence
Troubleshoot and debug production systems Desired Qualification Qualifications:
Strong proficiency in Python
Strong experience in Angular – Typescript/Java Script
Experience building backend systems, APIs, or distributed services in production environments
PostgreSQL and Elasticsearch proficiency
Familiarity with AWS, especially S3, RDS, and other data centric services
Understanding of software engineering fundamentals including testing, version control, CI/CD, and system design
Tenacious troubleshooting, problem solving and error fixing mentality
Strong communication and collaboration skills, ability to work, collaborate and thrive on a small technical team.
Preferred Qualifications:
Experience working with data platforms, data pipelines, ETL/ELT workflows, or large-scale data processing systems
Gitlab and Gitlab CI experience
Openshift and Helm experience
Docker and containerization experience
Skills
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