Senior Platform Engineer, AI Applications

🕒 il y a 19 jours

🇺🇸 États-Unis – Télétravail

💵 $180 000 - $220 000 / an

⏰ Temps Plein

🟠 Senior

🏗️ Ingénieur Plateforme

👻 Score fantôme 6%

Ce que ça veut dire : la probabilité que personne ne recrute vraiment pour cette offre.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Improvix Technologies

Site WebLinkedInTous les Emplois

201 - 500 employés

Fondée en 2012

🏛️ Gouvernement

🔒 Cybersecurity

💼 Conseil

Government • Cybersecurity • Consulting

Improvix Technologies est une entreprise de services informatiques et de conseil qui collabore avec les agences fédérales américaines pour fournir des solutions alignées sur leurs missions en utilisant des technologies émergentes. Elle se concentre sur quatre domaines de compétences clés — Données & IA, Services Applicatifs, Cloud & Infrastructure, et Cybersécurité — et met l'accent sur la valeur mesurable de la mission, la conformité réglementaire et l'innovation grâce à son laboratoire IPX CREATE. L'entreprise se positionne comme un partenaire de confiance pour la sécurité nationale, offrant des services tels que le développement de logiciels, l’ingénierie des données et l’analytique, l’adoption et la gestion du cloud, DevSecOps, la surveillance d'entreprise, et l'ingénierie de la sécurité.

Description

• 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

🎯 Exigences

• 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

🏖️ Avantages

• 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

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