10 engineer English-speaking jobs in Castelo Branco District

Mid-Level to Senior Golang Engineer Profile We are looking for candidates who possess strong expertise ... If you are a self-driven engineer who thrives in complex, medium-to-large scale systems and enjoys solving

If you are a self-driven engineer who thrives in complex, medium-to-large scale systems and enjoys solving ... skill gaps to tech stack performance optimization and architecture overhauls.Mid-Level to Senior Golang Engineer

Camunda Engineer. ... Required Skills & Experience Proven experience as a Camunda Architect, Lead Camunda Engineer, or Senior

Camunda Engineer. ... Required Skills & Experience Proven experience as a Camunda Architect, Lead Camunda Engineer, or Senior

Senior .NET & React Engineer needed for hybrid role. Requires experience with .NET Core, APIs, cloud environments, Kubernetes, messaging systems, observability, database management, and LLMs. React knowledge is a plus.

Platform Engineers at Kevel build and operate the infrastructure, tooling, and services that engineering teams rely on. Responsibilities include developing self-service platform capabilities, improving developer tooling, and working with engineering teams to define reliability targets and solve operational issues. Experience operating production systems at scale, building internal developer platforms, and running production workloads in GCP is required.

.## YOUR ROLEWe are looking for a highly skilled Solution Architect / Senior Solution Engineer with expertise

Lead Full Stack Developer to design and deliver Camunda 8 workflow solutions for Lending Origination. Experience required in Camunda, Java Spring Boot, React JS, and SQL databases.

Lead Full Stack Developer to design and deliver Camunda 8 workflow solutions for Lending Origination. Experience required with Camunda, Java Spring Boot, React JS, and SQL databases.

Senior Data Engineer with 5+ years of experience in data engineering, data warehousing, or software engineering. Proficient in SQL, Python, distributed data processing systems (e.g., Apache Spark, PySpark, Databricks), and cloud platforms (AWS, Microsoft Azure, or GCP). Expertise in ETL/ELT methodologies and orchestration tools. Designs, optimizes, and mentors data engineering teams. Collaborates with data scientists and analysts.