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DevOps + Java (chęć nauki RoR)
DevOps Engineer designs, builds, and maintains scalable cloud infrastructure for a high-traffic mobility platform, using Java, Kubernetes, and AWS, with on-call duties and incident response.
Cloud Software Engineer
Cloud Software Engineer Location: Penang, Malaysia Time Type: Full time Job Description Company Overview At Motorola Solutions, we believe that everything starts with our people. We’re a global close-knit community,…
Senior AI Engineer
Senior AI Engineer (US Remote) Location: Waltham, MA, Florida, US Offsite, New York, US Offsite, Illinois, US Offsite, New Jersey, US Offsite, New Hampshire, US Offsite, Tennessee, US Offsite, Michigan, US Offsite,…
Data Engineer
Build and own a daily data pipeline that ingests, parses, and diffs Indian corporate registry data to power a company intelligence platform serving fintechs and marketplaces.
Python Engineer, Data Platform
Build and maintain data-driven applications and AI-powered data access tools for a financial services firm, working across legacy, improved, and greenfield projects.
Lead Machine Learning Operations/DevOps Engineer
Lead ML Ops/DevOps Engineer - AI Engineering Location: Work from Home, United States Time Type: Full time Job Description FICO (NYSE: FICO) is a leading global analytics software company, helping businesses in 100+…
Principal Cyber Software Engineer (Front End/UI-Focused) CI Poly
Principal Cyber Software Engineer builds and maintains front-end and UI components for analytic systems using modern web frameworks, Python, and DevSecOps tools under a TS/SCI with CI POLY clearance.
Front-End Solutions Architect (AWS)
Designs and leads the development of secure, scalable front-end applications for cloud platforms, integrating AWS services to support Department of Defense missions with modern JavaScript frameworks.
Software Engineer 1 - Back-End/DevOps
Mid-level back-end and DevOps engineer building microservices in Java/Spring Boot on AWS, automating CI/CD pipelines, and ensuring scalable, secure systems for a defense-focused software company.
Senior AWS Cloud Platform Engineer - Ops / Migration / IaC / Kubernetes
Senior AWS Cloud Platform Engineer designs, deploys, and supports AWS infrastructure, migrates workloads to the cloud, and automates operations using IaC and Kubernetes in a hybrid Reston, VA role.
Kubernetes Cloud Engineer, SWE II
Senior engineer designs, secures, and runs Kubernetes clusters on AWS EKS for a classified government program, mentors teammates, and leads incident response.
Fullstack Developer (REACT/Python)
Build and maintain full-stack web applications using React for the frontend and Python (FastAPI) for the backend, deployed on AWS with DevOps practices.
Mid-level Data Engineer - MIDAS Data Platform (Chennai)
Build and maintain the central data platform for a new digital bank, designing pipelines to ingest banking data, apply business logic, and serve downstream systems for reporting and risk management using cloud-based tools like AWS, Databricks, and dbt.
Cloud Engineer III (Infra/DevOps)
Designs, deploys, and manages cloud infrastructure on AWS/Azure using IaC (Terraform, ARM/Bicep) and CI/CD pipelines, while optimizing costs, security, and observability for production workloads.
Python Developer (Healthcare)
Build and maintain Python-based backend services and serverless systems for healthcare clients using AWS Lambda, DynamoDB, and API Gateway.
Python Developer (Healthcare)
Build and maintain Python-based backend services for healthcare clients using serverless AWS architectures, focusing on functional programming, testing, and cloud-native design.
GoLang Developer
Senior backend engineer builds scalable, cloud-native services in Go, MySQL, Docker and AWS for a company in the healthcare or payments space.
AI Engineer
Build and maintain production-grade AI systems for a hiring-tech startup, orchestrating large-scale LLM workflows and backend services to power real-time recruitment decisions.
Senior AI Data Engineer (Python Backend experience)
Senior Data Engineer builds and maintains AWS-native data pipelines and onboarding systems in Python, ensuring reliable ingestion and transformation of client datasets for scalable, production-grade data workflows.