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Technical Project Manager
Technical Project Manager overseeing infrastructure project delivery, utilizing cloud platforms (Azure/AWS) and Microsoft 365 tools while managing stakeholders and documentation.
Java Fullstack Engineer
Build and lead full-stack Java applications with React and TypeScript, deploying on AWS while guiding engineering teams.
Senior Full-Stack Java/Spring & React Engineer
Senior Full-Stack Developer designing and building scalable enterprise applications with Java, Spring Boot, J2EE, and React, including APIs, UIs, CI/CD pipelines, and cloud platforms.
AWS Cloud-Native Full-Stack Tech Lead
Designs scalable APIs/services using Node.js/GraphQL and modern frontend tools, leads cloud-native architecture (AWS), and mentors teams on containerization (Docker) and IaC (Terraform).
Senior Full-Stack Engineer (React/.NET) - Multi-Tenant SaaS
Senior Full-Stack Engineer owning major features of a multi-tenant SaaS platform, working with React frontend and .NET backend on AWS, with mentorship responsibilities and close collaboration with Product and Design.
Full Stack Java + React Level II (Production Experience in BOTH)
Build and maintain enterprise supply-chain and warehouse-management systems using Java/Spring Boot on the backend and React on the frontend.
DevOps Engineer
Azkait is seeking a DevOps Engineer to manage infrastructure and CI/CD pipelines for various clients. The role requires experience with IaC tools, cloud platforms, and CI/CD automation in a hybrid work environment.
DevOps Engineer (Digital Marketing sphere)
DevOps Engineer maintaining and automating production infrastructure for a digital marketing platform using AWS, Kubernetes, and infrastructure-as-code tools like Terraform, Chef, and Ansible.
Hybrid DevOps Engineer – CI/CD, Terraform & Cloud
DevOps Engineer role at a Mexican IT staffing firm, hybrid in CDMX (3 office/2 remote days), building CI/CD pipelines and managing cloud infrastructure using IaC like Terraform on AWS or Azure.
Senior DevOps & Cloud Engineer - Multi-Cloud SaaS
Senior DevOps & Cloud Engineer owning reliability, scalability, and automation of a multi-cloud SaaS platform on AWS and Azure, building CI/CD pipelines and observability tooling with Python, Go, Bash, and YAML.
Data Engineer
The Data Engineer will maintain and improve an in-house data warehouse and manage ETL workflows to support data-driven decision-making for a large social ecommerce platform. The role requires strong proficiency in SQL, Python, ETL tools, and AWS cloud services.
Structural Steel Fabrication Manager
Structural Steel Fabrication Manager Location: Gallaway, TN Job Type: Direct Hire Starting Salary: $80,000/year, with higher compensation available based on experience Position Overview We are seeking an experienced…
Sr. Backend Engineer (Python, AWS)
The Senior Backend Engineer will design and build scalable backend systems and cloud-native services using Python and AWS. The role involves architecting integrations, developing REST APIs, and mentoring engineering team members.
Middle AI Engineer (GenAI Deployment)
Deploys and maintains GenAI agents in client cloud environments (Azure/AWS), focusing on containerized model-serving APIs, CI/CD pipelines, and observability. Works cross-functionally with data scientists to ship production-grade AI systems for enterprise clients.
Specialist Data Engineer & AI
Build data models, pipelines, and ML models at Infineon Technologies, driving data-driven decision making through end-to-end analytics solutions from data ingestion to consumption.
Technical Account Manager
We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. A…
Technical Account Manager
私たちは、Datadogの社内プロダクト・エキスパートです。テクニカル・ソリューション・チームは、潜在的な顧客を教育し、既存の顧客を満足させ、成功させることで、Datadogの世界的な成長を可能にしています。…
Manager - Senior AI/ML Engineer
Leads end-to-end design and deployment of production-grade AI/ML and GenAI solutions, focusing on RAG platforms, agentic systems, and secure enterprise integrations using Python, AWS/Azure, and MLOps practices.