Designs, builds, and maintains enterprise-grade web applications and distributed systems on Microsoft technology stacks, handling the full engineering lifecycle from requirements to post-release support. Core technologies include C#, .NET Core, ASP.NET Web API, JavaScript frameworks (Angular/React), SQL Server, and Azure or AWS.
**WHY SPEKTR **At spektr, we are on a mission to automate the world’s most complex compliance workflows through AI. Founded by the team behind HelloFlow (acquired by Trulioo), spektr is building the infrastructure and…
Do you want to help shape the future of Europe’s energy system and contribute to a fully carbon‑neutral, sustainable power grid? Are you a data engineer who is curious, open‑minded, and initiative-taking — someone who…
Join Connected Cars on our mission to connect millions of car owners with their vehicles by tapping into the on-board diagnostics available in every modern car. About Connected Cars Connected Cars is on a mission to…
The role involves building AI and data solutions—developing backend, data pipelines, generative AI, RAG, and agents—across cloud and on-prem environments, with an option to serve as Tech Lead. Based in Gothenburg, it requires Swedish and English.
Unsere Aufgabe war noch nie so wichtig wie heute. Als eines der größten staatlichen IT-Unternehmen gestalten wir den Weg der öffentlichen Verwaltung und der Gesellschaft in die digitale Zukunft. Wir schützen die Daten…
Designs and secures public-cloud web and database hosting for Johns Hopkins' 1,600+ sites and applications, leading DevSecOps architecture, infrastructure-as-code, CI/CD pipelines, containerization, and AI/ML hosting research, with on-call support.
The Streaming Data Engineer will architect, deploy, and operate large-scale Apache Kafka and Confluent Platform environments for mission-critical event-driven workloads, owning the platform end-to-end including cluster sizing, configuration, security, automation, observability, and developer enablement. The role requires 6+ years of experience, deep Kafka internals and DevOps/SRE skills, and inclu
Designs, builds, and hardens paved paths for privileged access, secrets management, and identity across DoorDash, Wolt, and Deliveroo using Teleport, HashiCorp Vault, Kubernetes, Terraform, AWS, and GCP. This US-remote role operates tier-0 security services, runs threat models and security reviews, and participates in a follow-the-sun on-call rotation.
Expo is agentic mobile infrastructure for building, shipping, and running native apps for iOS, Android, and the web. Millions of developers and AI agents use Expo's open-source framework and cloud services to go…
Designs, builds, and operates the GPU/accelerator platform layer for large-scale AI training and inference, including scheduling, storage, networking, and developer tooling for ML engineers. Uses Python, Go/C++, Kubernetes, Slurm/Ray, and cloud ML infrastructure; 100% remote U.S. role.
Designs, builds, and operates high-throughput backend platforms and shared services—request routing, traffic management, caching, async job execution, and durable event processing—for internal engineering teams. Requires deep distributed-systems expertise and hands-on proficiency in languages such as Java, Go, Scala, Rust, or C++.
Leads architecture and automation of secure, scalable cloud platforms for federal systems using Terraform, Kubernetes, and CI/CD pipelines on AWS; defines reliability practices (SLIs/SLOs), leads incident response, and mentors engineers.
Lead backend technology strategy for JSTOR's Books and Royalty Payments platform, defining architecture for distributed systems, APIs, and data pipelines using Java, Spring Boot, MySQL, Redis, and Kubernetes, while mentoring engineers and driving platform reliability.
Develops AI and data solutions including generative AI, RAG, and data pipelines using Azure/AWS, Kubernetes, Kafka, Spark; may act as Tech Lead with product ownership.
A Senior DevSecOps Engineer who designs and maintains secure cloud-native CI/CD pipelines, runs SAST/DAST/SCA and container scanning, deploys API security tools, and enforces PCI-DSS, GDPR, and SOC 2 compliance across AWS, Azure, or GCP using Terraform, Docker, Kubernetes, and CI/CD tooling.
Designs, builds, and deploys production machine learning systems for Instacart's Enterprise AI organization, owning the full ML lifecycle from problem formulation through monitoring. Works in Python and SQL on cloud infrastructure (GCP/AWS) with Docker and CI/CD, collaborating with product and engineering stakeholders to deliver measurable impact in grocery ecommerce.
Designs, builds, and operates reliable ML inference platforms for serving large models in production, handling request routing, batching, caching, autoscaling, GPU utilization, and observability. Core technologies include Python, Go/Rust/C++, Kubernetes, and inference frameworks such as vLLM or TensorRT-LLM.
Designs, builds, and operates Microsoft Azure cloud environments for a U.S. technology consulting firm, managing infrastructure-as-code, AKS clusters, CI/CD pipelines, and cloud security using Terraform, Bicep, Azure DevOps/GitHub Actions, PowerShell, Bash, and Python.
Position Summary: Director, Product Management to lead product management for Perforce’s infrastructure automation business. This position will report to VP Product. Your mandate is to build a growth engine for…
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