Senior Back-End Engineer

AMERICAN SYSTEMS

. Design, build, migrate, and sustain secure DDMP domain services, data-access layers, integration APIs, workflow automation, and AI-enabled back-end capabilities .

Posted 9/29/2026full-timeAlexandria • Virginia • United StatesSenior💰 $135,000 - $165,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing secure, cloud-native back-end services using Python and modern frameworks, with a strong focus on API development, data integrity, and workflow automation. Proficient in leveraging cloud platforms and containerization technologies to enhance system scalability and security.

Highest-signal resume keywords

Expert-Level Python ExperienceCloud-Native Application DevelopmentAWS Certified DeveloperCertified Kubernetes Application DeveloperStrong Relational-Data Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonFlaskFastAPIDjangoPostgreSQLAPI DevelopmentETL/ELTAutomated TestingEvent-Driven ArchitectureData Reconciliation

Tools & Technologies

AWSMicrosoft AzureGoogle Cloud PlatformDockerKubernetesGitLab CI/CDMicrosoft GraphSharePointOpenAPINLP Workflows

Certifications & Qualifications

AWS Certified DeveloperMicrosoft Azure Developer AssociateGoogle Professional Cloud DeveloperCertified Kubernetes Application DeveloperSecurity+

Industry Keywords

Cloud-Native ServicesAPI Gateway PatternsData IntegrityWorkflow AutomationChange Data CaptureMicroservicesDomain-Driven DesignData Quality ControlsAuditability RequirementsAI Decision Support

Tech Stack

Tools & technologies

AWSAzureCloudDjangoDockerETLFlaskGraphQLKubernetesMicroservicesMongoDBMySQLPostgresPythonTypeScript

About the role

Key responsibilities & impact

Design, build, migrate, and sustain secure DDMP domain services, data-access layers, integration APIs, workflow automation, and AI-enabled back-end capabilities
Lead modernization of DDMP Python/Flask services and legacy MySQL/MongoDB data into secure, scalable cloud-native services
Design and implement business APIs for assessments, evaluations, findings, recommendations, reconciliation threads, reports, artifacts, and approval history
Build secure, observable integrations with enterprise data sources, program-management systems, SharePoint, telemetry streams, and analytics platforms
Develop data-ingestion, transformation, validation, and reconciliation services preserving data integrity and provenance
Implement workflow automation and AI-assisted capabilities while keeping analysts accountable for official findings and scores
Establish API standards, coding standards, data-quality controls, service-level objectives, and technical documentation
Partner with security and cloud engineering staff to remediate vulnerabilities, implement secure configurations, and generate ATO evidence

Requirements

What you’ll need

BS degree
TS/SCI eligible
11+ years of professional back-end software engineering experience
3+ years delivering cloud-native, distributed, or microservices-based applications
AWS Certified Developer, Microsoft Azure Developer Associate, Google Professional Cloud Developer, or comparable CSP credential
Certified Kubernetes Application Developer (CKAD) or equivalent practical Kubernetes expertise
Security+ or equivalent certification
Expert-level Python experience, including FastAPI, Flask, Django, or equivalent
Experience decomposing a monolithic Flask application into modular services
Experience designing domain-driven systems and workflow engines for complex, auditable business processes
Knowledge of API gateway patterns, API versioning, throttling, idempotency, OpenAPI, OAuth/OIDC token validation, and service-to-service authentication
Experience with Change Data Capture, database replication, data quality controls, lineage, and data reconciliation
Experience integrating with Microsoft 365/SharePoint Online through Microsoft Graph
Experience implementing retrieval-augmented generation, document extraction, NLP workflows, model-evaluation controls, and human-in-the-loop AI decision support
Familiarity with DoW data platforms, secure cross-boundary integrations, and auditability requirements
Deep REST API experience; practical GraphQL experience strongly preferred
Strong relational-data expertise, especially PostgreSQL
Experience migrating MySQL and MongoDB to PostgreSQL and/or managed cloud data services
Experience with event-driven architecture, asynchronous processing, queues, and streaming platforms
Experience building ETL/ELT, data-ingestion, document-processing, and API-integration pipelines
Experience with JSON, XML, CSV, PDF, and Office documents
Strong expertise in automated testing
Experience packaging applications with Docker and deploying to Kubernetes or a managed container platform
Proficiency with Git-based development and CI/CD pipelines, ideally GitLab CI/CD in a DoW enterprise environment

Benefits

Comp & perks

Healthcare benefits
Paid leave
Retirement plans
Insurance programs
Education and training assistance
Employee ownership