Senior Platform Engineer, AI Applications

Improvix Technologies

. Design, build, and maintain backend services and APIs in Python, Java, Go, or TypeScript .

Posted 10/10/2026full-timeRemote • Washington • United StatesSenior💰 $180,000 - $220,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in backend service design and integration, with strong capabilities in Python, Java, Go, or TypeScript. Proficient in building CI/CD pipelines, ensuring compliance, and deploying services in AWS or Azure environments.

Highest-signal resume keywords

Backend Service DevelopmentRESTful API DesignCI/CD Pipeline ManagementIdentity Integration (OAuth 2.0, OIDC, SAML)AWS or Azure Deployment

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

PythonJavaGoTypeScriptRESTful APIsCI/CD PipelinesInfrastructure as CodeKubernetesAI Solutions ArchitectureObservability

Soft Skills

Technical CommunicationIndependent WorkCross-Team Collaboration

Tools & Technologies

ServiceNowAWSAzureKubernetesEvent-Driven PatternsSecurity Scanning ToolsLogging and Monitoring Tools

Certifications & Qualifications

CompTIA Security+AWS CertificationAzure CertificationCKAD

Industry Keywords

ATO ComplianceNIST 800-53FedRAMPLLM FrameworksModel API Integrations

Tech Stack

Tools & technologies

AWSAzureJavaKubernetesPythonServiceNowTypeScriptGo

About the role

Key responsibilities & impact

Design, build, and maintain backend services and APIs in Python, Java, Go, or TypeScript
Build front-end components or internal tooling when needed
Maintain code quality through code reviews, automated testing, and shared engineering standards
Design services with timeouts, retries, idempotency, and resilient dependency-failure behavior
Build and maintain integrations with ServiceNow, enterprise data platforms, and internal APIs using REST, messaging, and event-driven patterns
Integrate services with enterprise identity providers using OAuth 2.0, OIDC, and SAML
Provide technical detail for cross-team requests and execute engineering work after dependencies clear
Build and own CI/CD pipelines with automated build, testing, security scanning, and deployment
Embed SAST, DAST, dependency and container scanning, secrets management, and least-privilege access
Own ATO work, including control evidence, STIG or equivalent hardening, and remediation of findings
Turn AI Solutions Architect designs into production LLM-backed services, RAG features, and model API integrations
Build prompt and configuration management, evaluation hooks, guardrails, and usage/cost tracking
Monitor AI features for quality, latency, cost, and safety and tune them as usage grows
Deploy and run services in AWS or Azure government regions using infrastructure as code and containers on Kubernetes or managed equivalents
Build observability with logging, metrics, tracing, alerting, and dashboards
Break capabilities into deliverable increments, estimate work, and surface risks and dependencies
Write runbooks, technical documentation, and handoff material
Lead post-incident fixes for owned capabilities

Requirements

What you’ll need

8+ years of software engineering experience, including 3+ years building and owning production services end to end
Strong programming ability in at least one backend language: Python, Java, Go, or TypeScript
Track record designing RESTful APIs and services other systems depend on
Hands-on experience integrating with enterprise platforms such as ServiceNow or a comparable system through APIs, messaging, or event streaming
Identity integration experience with OAuth 2.0 and OIDC or SAML, using an enterprise identity provider such as Entra ID, Okta, or Keycloak
Experience building and maintaining CI/CD pipelines with integrated security scanning
Hands-on ATO or equivalent compliance work, including control evidence, system hardening, and remediation of findings
At least one AI or ML capability delivered to production, such as an LLM-backed service, RAG feature, or model integration
Working experience deploying to AWS or Azure with infrastructure as code and containers
Experience building observability into systems and supporting them in production, including incident response
Ability to work independently on a remote team and explain technical tradeoffs to technical and non-technical stakeholders
Bachelor's degree in a technical field, or an equivalent combination of education and directly relevant experience
U.S. citizenship
Active Secret clearance
Availability during East Coast business hours
Bonus: ServiceNow IntegrationHub, MID Server, Scripted REST APIs, or Flow Designer
Bonus: AWS GovCloud or Azure Government deployment experience
Bonus: FedRAMP, NIST 800-53, and RMF familiarity
Bonus: Amazon Bedrock, Azure OpenAI, vector databases, or LLM frameworks
Bonus: LLM evaluation or guardrail tooling
Bonus: AI-agent tools, tool-calling, or Model Context Protocol integrations
Bonus: CompTIA Security+, another DoD 8140 baseline, AWS or Azure certification, or CKAD
Bonus: Federal or defense customer experience in a cleared environment

Benefits

Comp & perks

Competitive compensation and performance-based incentives
401(k) with company match
Three weeks of paid annual leave that increases with tenure
Comprehensive medical, dental, and vision insurance
Life insurance and disability coverage
Transit and commuting benefits
Professional development and paid training opportunities