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 • 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 extensive experience in backend service development using Python, Java, Go, or TypeScript, with a strong focus on API design, CI/CD pipeline management, and compliance work. Proven ability to integrate with enterprise platforms and deploy services in AWS or Azure environments while ensuring observability and incident response.

Highest-signal resume keywords

Backend Service DevelopmentAPI Design and IntegrationCI/CD Pipeline ManagementCompliance and Security StandardsAWS or Azure Deployment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonJavaGoTypeScriptRESTful API DesignCI/CD Pipeline ManagementOAuth 2.0OIDCSAMLInfrastructure as Code

Soft Skills

Independent WorkTechnical Communication

Tools & Technologies

ServiceNowKubernetesAWSAzureLoggingMetricsTracingAlertingDashboardsAI and ML Integration

Certifications & Qualifications

CompTIA Security+DoD 8140 BaselineAWS Developer CertificationAzure Developer CertificationCKAD

Industry Keywords

ATO WorkSTIG HardeningFedRAMPNIST 800-53RMFLLM FrameworksAI-Agent ToolsModel Context ProtocolServiceNow IntegrationHubEast Coast Business Hours

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 reviews, automated testing, and shared engineering standards
Design services with timeouts, retries, idempotency, and resilient dependency handling
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 details 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
Implement SAST, DAST, dependency and container scanning, secrets management, and least-privilege access
Own ATO work, control evidence, STIG or equivalent hardening, and remediation of findings
Turn AI architecture designs into production LLM-backed services, RAG features, and model integrations
Manage prompts and configurations, evaluation hooks, guardrails, usage tracking, and cost tracking
Monitor and tune AI features for quality, latency, cost, and safety
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 materials
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
Hands-on experience integrating with enterprise platforms such as ServiceNow or comparable systems
Identity integration experience with OAuth 2.0 and OIDC or SAML, using enterprise identity providers 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
At least one AI or ML capability delivered to production, such as an LLM-backed service, RAG feature, or model integration
Experience deploying to AWS or Azure with infrastructure as code and containers
Experience with observability and production 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 and an 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+, DoD 8140 baseline, AWS/Azure developer or professional 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