Principal Software Engineer Data

PRINCIPAL SOFTWARE DEVELOPER SENIOR Software Engineering Job

Qualifications:

Skills:
Problem Solving, Software Solutions, Solutions Development Certifications: None

Experience:
5 + years of related experience US Citizenship Required: Yes Define and drive the strategic direction for backend and full-stack engineering practices, architecture, and technical excellence across the organization Lead the development of scalable, reliable, and secure distributed systems that serve government customers Serve as the technical authority and thought leader for system architecture, data design, and engineering excellence Design and implement modern service architectures, data pipelines, and infrastructure patterns that enable team velocity and system reliability Deliver new features and improvements to our core services including major read/write paths for customer intake, application screening, and information dissemination Identify opportunities to modernize our backend systems and take ownership of large-scale technical initiatives that improve system quality, performance, and maintainability Establish and champion engineering best practices including API design, data modeling, testing strategies, observability patterns, security standards, and code quality Mentor and coach engineers at all levels on backend technologies, distributed systems, and establish career development pathways for backend specialization Influence technical decisions across teams and serve as a strategic advisor on architecture and infrastructure initiatives Work across the full stack when needed to solve problems end-to-end
- frontend and infrastructure experience is valuable but backend systems are your primary focus Track record of establishing backend engineering standards, practices, and architectural patterns that improve team productivity and system quality Working experience with distributed system patterns including event-driven architectures, asynchronous processing, caching strategies, and data consistency patterns Experience designing and implementing APIs (REST, GraphQL, or similar) that serve as the foundation for customer-facing applications Strong understanding of system transformation patterns with practical experience leading modernization efforts from monoliths to microservices or legacy to modern stacks Experience with observability, monitoring, and alerting strategies including structured logging, metrics, tracing, and incident response Familiarity with cloud-native architectures, infrastructure as code, and deployment patterns (AWS, Azure, GCP) Experience with data architecture including relational and NoSQL databases, data modeling, migration strategies, and data governance Strong proficiency in modern programming languages (Java, Python, or similar) with deep understanding of language ecosystems and tooling Working knowledge of cloud engineering paradigms, asynchronous systems, service integration patterns, and event-driven architectures Experience with automated testing strategies including unit testing, integration testing, contract testing, and end-to-end system testing Practical knowledge of system performance optimization, capacity planning, and cost optimization Understanding of security principles including authentication, authorization, encryption, secrets management, and secure coding practices Experience establishing and maintaining CI/CD pipelines with automated testing, security scanning, and deployment strategies Familiarity with container orchestration (Kubernetes, ECS), infrastructure as code (Terraform, CloudFormation), and DevOps practices Demonstrated ability to design systems that balance consistency, availability, partition tolerance, performance, and cost Strong understanding of data architecture including database selection, schema design, indexing strategies, and query optimization Experience with message brokers, event streaming platforms (Kafka, SQS, EventBridge), and asynchronous processing patterns Ability to design for reliability including graceful degradation, circuit breakers, retry strategies, and disaster recovery Understanding of system observability including structured logging, distributed tracing, metrics aggregation, and alerting strategies Quality driven, sets the standard for excellence in communication, code, and documentation Proven track record of mentoring and developing engineers at all levels, building organizational backend engineering capability Must be a US Citizen and able to obtain and maintain Public Trust 6C #EDopportunities Travel Required: Less than 10% Telecommuting Options: Remote Work

Location:
Any Location / Remote Additional Work Locations: Total Rewards at GDIT: Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and