1302 English-speaking jobs in Łódź Voivodeship

DevOps Platform Engineer to design and build a self-service platform for cloud infrastructure provisioning and automation. Responsibilities include developing Jenkins pipelines, managing Helm charts, and collaborating on scalable infrastructure solutions. Requires strong AWS, Kubernetes, and Terraform experience.

Calculates, analyzes, and reports risk figures for regulatory, economic, and accounting purposes. Performs impact analyses on RWA (both IRB and STA methods) and loan loss provisions. Implements new requirements from business departments and regulators regarding risk figure calculation and reporting. Ensures data quality of inputs and outputs related to risk figure calculation.

Data Solution Architect needed for a financial project within the banking sector. Responsibilities include translating requirements into solution designs, collaborating with stakeholders, and creating technical documentation. Experience with architecture and implementation of large-scale enterprise solutions, AWS Cloud, Cloudera, and data architecture is required.

DevOps Engineer to design, build, and operate scalable cloud-native systems on AWS. Focus on infrastructure as code (Terraform), serverless and containerized environments, and system observability. Requires strong AWS experience, Terraform, Linux, monitoring, Python scripting, and Agile methodologies.

Senior Software Engineer will implement and maintain reliability solutions, focusing on automation, observability, and operational excellence. Responsibilities include developing automated solutions for system reliability, participating in incident response, and mentoring engineering teams on SRE principles.

Senior MES & ERP Systems Analyst will lead or contribute to applications, technology projects, and strategic initiatives. Configure systems, perform testing, deploy solutions, and provide post-implementation support. Document functional specifications and define system scope. Identify process improvements and recommend new technologies. Manage system issues, change management, and root cause analysis. Requires strong experience with Manufacturing Execution Systems (MES) and ERP/WMS systems. Experience integrating MES with ERP/WMS (e.g., SAP) and proficiency in SQL are needed. Excellent communication and problem-solving skills are essential.

Senior Java IoT Backend Architect will design and evolve backend architecture for IoT systems, implement complex components, and ensure system scalability, reliability, and security.

The Global Manufacturing IT Services Delivery Manager will lead global delivery teams, manage vendor contracts, and support strategic projects for Transformer-specific applications. This role requires 5+ years of Manufacturing IT experience, 3+ years of SAP MM and PP module experience, and 3-5 years of experience managing IT project and application teams.

Electrical Engineer to develop liquid-filled distribution transformers. Propose and analyze electrical designs, define testing protocols, and lead project execution. Requires an MSc in Electrical Engineering and experience with electrical design, magnetic, dielectric, or thermal design. Strong communication and project management skills are essential.

Senior Database Engineer will own and improve relational database environments, ensuring performance, scalability, and reliability. Responsibilities include reviewing application changes, resolving performance issues, optimizing queries, and collaborating with various teams.

Designs, integrates, and tests Ericsson solutions on Cloud Native platforms. Adapts microservice paradigms and collaborates in an Agile team. Requires experience in cloud technologies (e.g., Kubernetes, Docker), CI/CD, and programming/scripting (e.g., Python, Go lang).

Electrical Engineer to design and validate electrical solutions for liquid-filled distribution transformers. Collaborate with cross-functional teams to develop prototypes, conduct testing, and create design rules.

Lead Python Engineer to design, develop, and maintain scalable finance-focused backend solutions. Experience with AWS, API development, and automated testing required.

Cloud Engineer Intern will support lead cloud and security architects in developing cloud-native applications, mentoring others, and implementing security practices. Assist with implementing, deploying, and optimizing Google Cloud solutions and infrastructure. Collaborate with teams to troubleshoot cloud applications and ensure system stability.

As a Cloud Engineer Intern, you will assist in implementing, deploying, and optimizing Google Cloud solutions. You will collaborate with teams to troubleshoot cloud applications, research cloud trends, and contribute to data lake setup.

Python Engineer will build and deploy applications using standard tools. Responsibilities include working in Scrum, advising clients, creating documentation, and reporting to a Team Leader. Requires 3+ years of Python development experience, proficiency in Django/Flask, SQLAlchemy, and related technologies, and experience with RESTful APIs, microservices, and cloud deployment platforms.

Designs and develops vision-based measurement/inspection systems for high-precision components. Builds and optimizes computer-vision algorithms and deploys them in production applications. Integrates vision systems with industrial automation and implements AI models for inspection.

The Senior QA Co‑Man Lead drives Quality, Food Safety, and compliance performance across a network of Co‑Manufacturers in Europe. This role provides technical expertise and operational oversight to ensure Co‑Man sites meet Barry Callebaut QFS standards and customer expectations. Responsibilities include leading the implementation and continuous improvement of QFS standards, training Co‑Man Quality teams, conducting site visits and audits, and monitoring QFS KPIs. The role also acts as the primary regional contact for QFS incidents, customer complaints, and new Co‑Manufacturer onboarding.

Lead AI engineer to design, deploy, and maintain AI agents and automation workflows. Experience with Azure, Kubernetes, Docker, and AI/ML frameworks required. Strong mentorship and communication skills needed.

AI DevOps Engineer specializing in deploying LLMs/SLMs in production, building scalable Azure infrastructure, and advising stakeholders. Requires 5+ years of DevOps/Cloud Engineering experience with strong Azure expertise and experience with Terraform, Ansible, CI/CD pipelines, and Kubernetes.