Senior Platform Engineer, AI Applications

🕒 il y a 20 jours

☕ Washington – Distant

☕ Washington – Remote

💵 $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

💼 Conseil

🏛️ Gouvernement

🔒 Cybersecurity

Consulting • Government • Cybersecurity

Improvix Technologies est une société de services informatiques et de conseil axée sur les États-Unis, qui collabore avec les agences fédérales pour fournir des solutions alignées sur leurs missions dans les domaines des données et de l'intelligence artificielle, des services applicatifs, du cloud et des infrastructures, ainsi que de la cybersécurité. L'entreprise met l'accent sur la conformité réglementaire, l'ingénierie de sécurité, le DevSecOps, l'analyse cybernétique, l'ingénierie des données, et la surveillance d'entreprise, en opérant un laboratoire d'innovation (IPX CREATE) pour développer des capacités de nouvelle génération à destination des clients de la sécurité nationale. Improvix se positionne comme un partenaire de confiance offrant une valeur mesurable aux missions tout en respectant des valeurs de Respect, Honnêteté, Intégrité, et Performance.

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 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

🎯 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 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

🏖️ 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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