科技職缺
職缺列表
User Experience Designer
UX Designer on PepsiCo's India Capability Centre team creating global digital products for procurement, supply chain, manufacturing, and logistics. Day-to-day work spans user research, service design, UI prototyping, design system management, and workshop facilitation using Figma, Adobe CC, Jira and Azure DevOps.
Data Engineer
Data Engineer supporting a strategic Data & AI initiative for a leading legal organization through an international consulting firm. Designs and maintains data pipelines, ETL/ELT processes, and data models on Python, SQL, Spark, Databricks, and Azure, working 100% on-site in Wrocław or Gdańsk.
.NET Developer
Develop and extend a microservices-based electronic banking platform using .NET Core 6.0+, C#, React/TypeScript front-end, MS Azure cloud, and relational/noSQL data stores. Hybrid role combining backend services, UI work, unit testing, and CI/CD.
DevOps-инженер
DevOps engineer building and maintaining CI/CD pipelines (GitLab CI, GitHub Actions), managing cloud infrastructure and Linux servers, containerizing apps with Docker and Kubernetes, and handling monitoring, logging, secrets, and IaC across multiple projects.
Mid/Senior Data Engineer (AWS)
Builds production-scale data platforms on AWS using SQL, Python, dbt, and Airflow, alongside warehouses and distributed data tools such as Redshift, Snowflake, BigQuery, Kafka, Spark, NiFi, Docker, and Kubernetes.
Security Architect
Security Architect providing security architecture guidance across enterprise projects, advising on cloud security, identity & access management, network security, and security controls while collaborating with technical and non-technical stakeholders to embed security early in delivery.
Security Project Manager
Manages information security for IT projects at a Ukrainian IT company, conducting risk assessments, developing security policies, planning secure architectures, and auditing compliance. Works with security technologies like SIEM, IAM, WAF, and XDR across Azure/AWS and containerized environments.
Senior/Staff Full-Stack Engineer
Senior/Staff full-stack engineer who ships features end-to-end across a Python backend, TypeScript/JavaScript frontend, and AWS/GCP/Azure in a small product team. Comfortable debugging undocumented APIs, building prototypes, and working autonomously beyond a narrow specialization.
AI Engineer - FDE (Forward Deployed Engineer)
Headquarters: Remote - United Kingdom AI Engineer - FDE (Forward Deployed Engineer) Req ID: CSQ427R191 Location: United Kingdom - Remote (must be based in the UK for this role) Mission The AI Forward Deployed…
AI Engineer - FDE (Forward Deployed Engineer)
Headquarters: Remote - India CSQ326R35 AI Engineer - FDE (Forward Deployed Engineer) Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver…
AI Engineer
Develops AI services and agents (LLM, RAG, GenBI, Voice AI, Copilots) for ForteBank's banking platform, building Python backend microservices integrated with banking systems. Core stack includes Python, LangGraph/LangChain, OpenAI/Azure AI, FastAPI, PostgreSQL, Redis, Kafka, and Docker/Kubernetes.
Cloud Data Engineer
Remote Cloud Data Engineer designing and implementing data pipelines, cloud data architecture, and integration solutions across platforms. Core stack is Salesforce, Salesforce Data Cloud, and Python, with cross-functional collaboration on scalable, high-availability data systems.
Mlops Engineer
Remote MLOps Engineer designing and maintaining scalable ML pipelines for training, validation, and deployment, while monitoring model performance and collaborating with data scientists and engineers across cloud platforms (GCP, Azure Databricks).
Conversational AI Engineer
Remote conversational AI engineer building and maintaining AI-driven chatbots and dialogue systems, applying NLP, GenAI, and LLM techniques while partnering with ML teams and advising customers on best practices and demos.
AI Engineer
Remote freelance AI Engineer building ML and GenAI-powered applications (chatbots, dialogue systems, LLM/agentic workflows). Day-to-day work spans Python/JS development, model lifecycle (training, deployment, REST scoring), and cloud (AWS/Azure/GCP).