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.
Remote fresher DevOps Engineer (0–2 yrs) deploying containerized Python/JS apps and microservices on AWS/Azure/GCP managed services with EKS/AKS/GKE orchestration and CI/CD pipelines.
Builds and maintains full-stack Java applications for federal government projects, focusing on backend (Spring) and frontend (React) development, API design, and cloud deployment with DevOps tools.
Owns cloud infrastructure and platform operations for a multi-tenant AI SaaS platform across AWS, Azure, and GCP, focusing on IaC, Kubernetes, GitOps, and CI/CD pipelines.
Designs and manages AWS security controls (IAM, VPC, EC2, etc.) to protect cloud infrastructure, monitors threats via tools like GuardDuty and CloudWatch, and ensures compliance with standards like CIS and SOC 2.
Builds scalable cloud-native microservices and APIs in Go, deploying on AWS (Elastic Beanstalk, Lambda, etc.), with Linux and database expertise (PostgreSQL, MySQL, MongoDB).
Fullstack Engineer working with Python and AWS to design, develop, and deploy cloud-based systems. Responsibilities include collaborating with teams to evaluate cloud solutions, modifying/improving existing systems, and maintaining cloud solutions according to best practices.
About Us The IT Asset Management team delivers enterprise-wide technology asset and application inventory systems. Our platforms are used firm-wide by all business units to manage the global inventory of technology…
Own and scale the AI-SDLC platform’s deployment, CI/CD, and observability to productionise AI workflows for multiple teams, ensuring enterprise-grade reliability, security, and cost control.
Design and optimize cloud-native AWS solutions for clients, using serverless, containers, IaC, and DevOps practices to drive scalability, security, and innovation.
Designs, implements, and maintains cloud infrastructure and deployment pipelines for Kubernetes-based applications on AWS, focusing on scalability, security, and automation. Core tools include Terraform, Helm, EKS, and monitoring systems like Datadog/Splunk.
The Data Engineer will design and maintain API-driven data pipelines, data lakes, and warehouses to support AI initiatives and business intelligence. The role involves integrating enterprise systems like Salesforce and Oracle using AWS services, Python, and Spark.
Senior ML Engineer at Kensho (S&P Global) building GenAI platforms, LLM-powered agents, and AI toolkits end to end, from modeling through production deployment using Python, LLM orchestration, and cloud infrastructure.
Build and deploy production-grade ML systems, including retrieval-driven AI agents and LLM-powered applications, using Python, PyTorch, and LangChain to power Kensho’s AI toolkits and generative AI products.
Designs and implements scalable, cloud-native software for in vitro diagnostic solutions, focusing on microservices, AWS infrastructure, and data pipelines while ensuring security and compliance.
Build and deploy scalable ML pipelines on AWS and Databricks, leading a team to integrate generative AI models and APIs for healthcare analytics.
AI Platform Engineer at DXC Technology in Mexico City designing and building the AI foundation for a next-gen enterprise CPQ platform, using Python, LLMs (Claude/GPT), vector databases, and MCP to transform a legacy application into an AI-native solution.
Senior Platform Engineer responsible for assessing, refactoring, and migrating a 34-microservice backend to a modern Python/TypeScript stack with LLM-augmented business logic, using Docker/Kubernetes (EKS), PostgreSQL, and AI-first development practices on-site in Mexico City.
Build, automate, and support secure, scalable AWS cloud platforms and Kubernetes (EKS) environments using Terraform, Ansible, Docker, Helm, and GitLab CI/CD.
Solution Architect for DevOps & Release Management at Western Union, architecting CI/CD pipelines, Infrastructure-as-Code with Terraform/Ansible, AWS/hybrid-cloud platforms, and observability/SRE practices across the Risk & Compliance technology ecosystem.
Lead a team building a next-gen case management platform for investigators using Java/Spring Boot, microservices, and AWS while driving AI adoption and compliance.
We couldn't check your fit for this role — add a CV to your profile to see it next time.