Stitch Fix is hiring a Platform Engineer to develop the internal platform-as-a-service, tooling for developer workflows, and automation for deployments and operations. The role expects 2+ years of software/infrastructure experience and exposure to AWS, container orchestration (ECS/EKS), CI/CD (CircleCI), IaC (Terraform/Pulumi), and languages such as Ruby, Go, or Python. US salary range $88,100–$147,000/year.

Hiring a Senior SRE with experience designing and engineering on AWS, automating infrastructure and configuration (Terraform, IaC), and working with monitoring/observability tools (Datadog, Prometheus). The role involves collaborating with stakeholders, mentoring junior engineers, and using cloud-native services and automation at scale.

Role involves building systems that gather, aggregate, and normalize topology data from multiple sources, contributing to the open-source Topograph project, and working with NVIDIA GPU hardware to optimize GPU-to-GPU communication and scheduling across cloud providers. Requires strong experience in Go or a systems language, Kubernetes, distributed systems, Slurm/Slinky, Linux, containers, APIs, and CI, and a minimum of 8 years' experience.

Senior lead backend engineering role focused on modernizing data/integration systems. Requires 8+ years backend experience, including at least 2 years with Elixir, and strong experience with AWS, Docker, Kubernetes, Kafka, PostgreSQL, observability (DataDog), CI/CD and DevSecOps. Hybrid position based in Hermosillo or Mexico City (Latin America).

The role partners with SecOps, engineering, architecture, IT, legal, and privacy to design resilient detection, defense, and response architectures, conduct security architecture reviews, and lead detection engineering and AI-augmented security operations improvements. Requires 5+ years in security operations and multi-cloud platform experience, and 2+ years applying AI tooling to security operations.

Join GitHub Enterprise Cloud Platform as a Staff Software Engineer to lead architecture and technical strategy for multi-region provisioning, automation, capacity management, and service onboarding. Role includes owning cross-cutting initiatives, driving reliability and scalability, mentoring engineers, and operating with significant autonomy. Qualifications include extensive software engineering experience and hands-on experience with infrastructure-as-code and on-call incident response.

Senior/staff individual contributor responsible for defining and driving the technical roadmap for ClickUp's data platform, building scalable data pipelines and infrastructure (AWS serverless, Snowflake, dbt), designing systems for AI/ML workloads (feature stores, training/embedding pipelines, model serving), enforcing engineering standards (observability, CI/CD, testing), optimizing cloud cost, and mentoring senior engineers.

Remote EMEA role within Forward Deployed Engineering focused on AWS-based ML/GenAI architectures (including Amazon Bedrock and SageMaker), cloud cost/reliability/security optimization, MLOps, and converting field work into reusable patterns and DCI product contributions. Requires 4+ years architecting, deploying, and managing cloud-based AI/ML solutions and hands-on AWS experience.

Senior Cloud Architect in DoiT's Forward Deployed Engineering Delivery team responsible for designing, deploying, and optimizing production ML/GenAI workloads on AWS (including Amazon Bedrock and SageMaker). Focus areas include cost efficiency, reliability, security, MLOps, and converting field work into reusable patterns and product feedback (DCI). Requires 4+ years of relevant cloud AI/ML experience and strong hands-on AWS expertise.

DoiT seeks a Senior Cloud Architect (Forward Deployed Engineering, Delivery) to lead hands-on design and implementation of ML/GenAI workloads on AWS, drive cloud optimizations (cost, reliability, security), convert field work into reusable patterns and DCI product feedback, and operate as an embedded technical partner on account teams. Requires 4+ years architecting and managing cloud-based AI/ML solutions and hands-on experience with AWS services such as SageMaker and Bedrock.

Join DoiT as a Senior Cloud Architect focused on GenAI/ML within the Forward Deployed Engineering (FDE) Delivery organization. You will lead design and hands‑on implementation of production ML/GenAI workloads on AWS (with multi‑cloud awareness), drive cost, reliability, security, and operational improvements, convert field work into reusable patterns and product feedback, and work embedded with account teams to improve product adoption and customer health. The role is remote and listed as available in the UK, Ireland, Estonia, Sweden, the Netherlands, Israel and (as contractor) Portugal. Requires 4+ years architecting, deploying, and managing cloud AI/ML solutions.

Join DoiT as a Senior Cloud Architect within the Forward Deployed Engineering (FDE) Delivery team. The role focuses on hands-on design and implementation of production ML/GenAI workloads on AWS (with multi-cloud awareness), improving cost, reliability, security, and observability, and converting field work into reusable patterns and product feedback. Requires 4+ years architecting and managing cloud-based AI/ML solutions and strong experience with AWS services such as Amazon Bedrock and SageMaker. Remote in the UK, Ireland, Estonia, Sweden, the Netherlands, Israel; contractor options in Eastern Europe and Portugal.

Join the Forward Deployment Engineering team as a Senior Cloud Architect delivering hands-on design and implementation of ML and Generative AI solutions on AWS. You will work with customer account teams to improve product adoption and cloud health through cost optimization, reliability, security, automation and observable architectures. The role requires 4+ years of experience architecting, deploying, and managing cloud-based AI/ML solutions and expertise with AWS services such as SageMaker and Bedrock, plus strong skills in MLOps, CI/CD, infrastructure as code, and cross-functional collaboration.

This remote Senior Cloud Architect role within DoiT's Forward Deployed Engineering team leads design and implementation of ML/GenAI workloads on AWS, advises customers on cost, reliability, security and performance, and turns field solutions into reusable patterns and product feedback. The position supports customers across the UK, Ireland, Estonia, Sweden, the Netherlands, Israel and contractors in parts of Europe, and requires hands-on AWS and ML/GenAI expertise (4+ years).

Lead performance and scalability analysis and improvements across a Kubernetes accelerated runtime stack (GPU Operator, device plugins, Network Operator, CoCo, etc.), contribute upstream architectural changes, use large-scale simulation infrastructure, and collaborate with researchers, customers, and open-source communities. Requires 5+ years experience, expertise in Kubernetes, distributed accelerator systems, performance optimization, and proficiency in Golang and/or Python.

Senior Product Security Engineer based in Brazil (CLT). Responsibilities include integrating and operating SAST, DAST, SCA, CNAPP and WAF tooling in CI/CD pipelines; building and maintaining security automation and agentic/LLM-assisted tooling; conducting vulnerability identification, triage, remediation and retesting; securing cloud-native applications (Docker, Kubernetes, public cloud); and partnering with engineering teams to embed security across the SDLC. Role expects 4+ years across security domains and hands-on experience with languages such as Python, .NET, or TypeScript.

Work on GitHub Enterprise Cloud Platform to build and operate provisioning, networking, compute, storage, DNS, and service onboarding automation for multi-region Azure deployments. Lead platform investments to improve deployment velocity and safety, enhance operational tooling and incident response, and provide on-call support including post-incident retrospectives. Required qualifications include substantial software engineering experience (various degree/experience combinations), experience with IaC (e.g., Terraform, Bicep, Pulumi), Azure capacity management, AI-assisted development tools, and extensive on-call experience.

End-to-end responsibility for a scaling data platform: design, build and maintain Airflow pipelines, manage Snowflake warehouse, implement dbt transformations, operate platform services on Kubernetes/EKS, provision infrastructure with Terraform, write SQL/Python for ETL, manage PostgreSQL sources, adopt CDC with Debezium, and implement observability with Datadog. Requires 5+ years experience in data engineering and strong hands-on expertise with Snowflake, dbt, Airflow, Python, SQL, Kubernetes, and Terraform.

Lead the design, build, and operation of a rapidly scaling data platform for veterinary practice analytics, owning ingestion (including CDC), transformations (dbt), Snowflake warehousing, Airflow orchestration, Kubernetes/EKS deployments, infrastructure provisioning with Terraform, and observability with Datadog. Requires strong SQL and Python skills, experience with Snowflake, dbt, Airflow, Terraform, Kubernetes, and production CDC tools (e.g., Debezium).

Remote senior-level role to build and operate a production-grade data platform: design and maintain Airflow pipelines, manage Snowflake (schema design, performance, cost control), implement dbt transformations, run platform services on Kubernetes/EKS, provision infrastructure with Terraform, and implement observability with Datadog. Requires 5+ years in data engineering or combined data/infrastructure roles and hands-on experience with Snowflake, dbt, Airflow, SQL, Python, Terraform, Kubernetes, PostgreSQL and CDC tooling (e.g., Debezium).