Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
The Senior Staff DevOps Engineer will lead the design and operation of SailPoint's global Identity Security Cloud infrastructure across AWS, Azure, and GCP. This role focuses on Kubernetes platform leadership, implementing AI-assisted and agentic automation, and ensuring infrastructure reliability and PCI compliance.
The Senior Site Reliability Engineer will design, build, and operate scalable payment systems on Microsoft Azure using GitOps, Kubernetes, and modern CI/CD practices. The role focuses on automation, observability, and maintaining high system reliability through infrastructure-as-code and incident management.
Position Summary: The Systems Engineer is the hands-on individual responsible for the design, security, and dayto- day operation of the Wicked Problems Lab's research computing environment — spanning AWS cloud,…
Designs and optimizes large-scale data platforms and AI/ML architectures using Databricks, Spark, Delta Lake, and Unity Catalog, ensuring scalability, security, and performance across cloud environments.
Build secure-by-default platforms, policy-as-code guardrails, and compliance automation at Wyze, working with cloud platforms, Terraform, and Go/Python.
Lead security engineering at a fast-growing fintech that embeds AI across payments, underwriting, and customer experiences; own application, cloud, detection, and AI security while staying hands-on with code reviews and threat modeling.
A DV-cleared DevOps/Software Engineer automates cloud-native pipelines, manages Kubernetes clusters, and ensures secure, scalable deployments while collaborating on software delivery lifecycle improvements.
Jimdo, a remote-first company, seeks a Senior Infrastructure Engineer to join Wonderland, its Platform Engineering team. You will help build a reliable, secure self-service cloud platform powering deployments,…
Own and evolve the Azure DevOps and Jira platforms, build secure CI/CD pipelines with Terraform, and support Kubernetes-based environments for a healthcare SaaS provider.
Build and maintain automated test frameworks for AWS infrastructure, IaC, CI/CD pipelines, and Kubernetes to validate security, compliance, and reliability of Keeper’s cloud services.
About Spark Advisors We're building healthcare tech for a system that desperately needs it. Each year, millions of Americans deal with confusing changes to their Medicare plans that impact their prescriptions,…
Senior engineer builds and automates secure CI/CD pipelines to deploy Keeper’s zero-trust PAM platform into IL5/IL6 and classified U.S. government environments, ensuring compliance and reliability.
Builds and scales production-grade Generative AI and Agentic AI solutions for enterprise clients, focusing on RAG, secure agent tooling, and scalable cloud deployments.
Design, build, and run AWS cloud infrastructure for a rail-inspection company, migrating legacy systems to the cloud while ensuring security, reliability, and cross-timezone collaboration with a UK team.
Lead the design and hands-on build of RBC’s AWS-based AML data platform using Snowflake, Spark, and dbt, mentoring engineers and owning medallion pipelines, IaC, and security.
Build and architect user-facing components for Paystand’s blockchain-enabled B2B payments network, integrating AI tools and modern full-stack tech to redefine commercial finance.
Designs and maintains Harness-based CI/CD pipelines, automates deployments, and optimizes Kubernetes clusters to accelerate secure, compliant software delivery for enterprise clients.
Leads secure Azure platform engineering for UK teams, designing and operating CI/CD pipelines, Kubernetes workloads, and observability to support mission-critical defence services.
Builds and maintains DevOps pipelines, tools, and cloud environments to automate CI/CD, security, and infrastructure for Accenture’s clients, using GitLab, Jenkins, Kubernetes, and cloud platforms.
We couldn't check your fit for this role — add a CV to your profile to see it next time.