On-site Data Engineer role based in DoiT's Tel Aviv office working on Attribute™. Responsibilities include developing and operating ETL and data pipelines, backend features, and service maintenance (GCP-based). Requires 3+ years experience and practical experience with Python, Spark/PySpark, Pub/Sub, Terraform, and CI/CD. Familiarity with eBPF, SaaS production environments, and optional C++/C# experience noted as bonuses.

Seeking an Engineering Manager to lead and grow a hands-on engineering team building cloud-based SaaS products. Requires 10+ years engineering experience (including 4+ years in engineering management with active coding), strong cloud experience (AWS/GCP/Azure), BigQuery/SQL and database expertise, and experience driving delivery, architecture, hiring, and AI-augmented workflows. Role is remote and based in the USA, UK, Ireland, Estonia, the Netherlands, Sweden, or Israel.

Remote Technical Product Owner embedded with the Core Services engineering team, translating VP-level strategy into prioritized backlogs, owning delivery and iteration for platform capabilities (IAM, auth, tenant services, shared APIs, integrations). Requires ~7+ years experience in platform/DevOps/SRE/cloud roles and strong technical fluency in cloud fundamentals, distributed systems, and developer workflows.

DoiT is hiring a Technical Product Owner to embed with the Core Services engineering team and translate VP-level strategy into a prioritized, shippable backlog. Responsibilities include backlog leadership, customer validation (regular customer calls), engineering collaboration, release readiness, and defining success metrics. The role focuses on foundational platform capabilities such as identity and access management, authentication/authorization, tenant/customer services, shared APIs, platform integrations, and other cross-cutting infrastructure. Candidates should have deep hands-on experience with public cloud (AWS/GCP/Azure), DevOps/SRE practices, distributed systems, Kubernetes, observability, automation, and security/governance.

Hiring a senior Technical Product Owner to embed with the Core Services engineering team and own delivery, iteration, and measurement for foundational platform capabilities (identity, auth, tenant services, shared APIs, integrations). Requires ~7+ years hands-on experience with platform/DevOps/SRE/cloud technologies (AWS/GCP/Azure), strong systems thinking, prioritization, and customer validation skills.

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).

As a Staff Infrastructure Security Engineer you will define architectural patterns, reference implementations, and security automation for GitLab’s public cloud infrastructure and container platforms. The role requires leading cross-team security initiatives, conducting threat modeling and security reviews, applying AI to security workflows, and mentoring engineers. Required expertise includes cloud security (AWS/GCP/Azure), Kubernetes, infrastructure-as-code tooling, multiple programming languages (Go, Python, Ruby), and familiarity with security frameworks such as FedRAMP, ISO 27001, SOC 2, and PCI-DSS.

SearchApi seeks a senior infrastructure engineer to own and operate its cloud stack and observability for production workloads serving billions of requests. Responsibilities include architecting and operating containerized browser infrastructure, managing AWS services (ECS, EKS, Fargate, RDS, ElastiCache), writing Terraform, tuning autoscaling and networking (websockets, TCP), debugging production issues, and mentoring engineers. Role is remote and expects strong written English, deep AWS and infrastructure-as-code experience, and prior work at scale.