Top Hybrid DevOps & Platform Engineering Jobs

Lead and optimize BDG's data infrastructure, driving the development of scalable data pipelines and enhancing storage and reporting systems while fostering a culture of innovation.

Lead and scale the AI cloud infrastructure: design GPU orchestration, multi-region cloud, networking, storage, and reliability. Build SRE and Platform teams, define SLOs/SLIs, automate operations, and remain hands-on in architecture, debugging, and implementation to support AI training and inference at scale.

The Senior Cloud Engineer will lead architecture and implementation of web applications, mentor junior developers, and establish development best practices.

The Backend Infrastructure Engineer develops and maintains infrastructure, manages CI/CD pipelines, writes backend services, enhances developer experience, and ensures security compliance in a hybrid role.

Own and evolve Qrypt's AWS infrastructure as code, build cloud services (primarily in Rust) to deliver quantum entropy and keys, deploy into customer environments, implement monitoring/observability, improve reliability/security/cost, partner on roadmap, and support on-call/operational readiness.

Design, implement, and manage secure, scalable cloud services for mission systems. Build automated, repeatable deployments with IaC and monitoring, optimize performance/cost, integrate automation and AI/ML capabilities, and support operational reliability and security.

Lead engineering at a pre-seed GenAI startup: define architecture and tech stack, build the first B2B enterprise SaaS product, set up cloud infrastructure, DevOps and CI/CD, ensure code quality, hire and manage 1-2 engineers, and apply LLM/ML expertise to drive product and business strategy.

Design, build, and operate scalable, reliable cloud infrastructure. Maintain AWS/GCP and Linux systems, Kubernetes clusters, CI/CD pipelines, and monitoring (Prometheus/ELK). Automate operations, troubleshoot production issues, run on-call, conduct reviews, and evaluate new technologies to improve availability and performance.

Embed with services pods to build bespoke tooling and platform features: ad integrations, data pipelines, dashboards, and automation. Own end-to-end client deployments and translate operational patterns into Framework roadmap and product improvements.

Lead design and build of AWS-based infrastructure from 0→1, implement IaC and CI/CD, operate AI/data workloads (Temporal, streaming, vector search, LLM inference), ensure SOC 2–grade security and multi-tenant isolation, establish SLOs/incident response, and mentor engineers while partnering with product and customers.