Software Engineer

Senior Software Engineer

Intermediate / Senior Data Engineer

Senior Software Engineer 1

Senior Software Engineer 2 (Ruby on Rails)

Staff Software Engineer

Senior Software Engineer 2

IAD / SAD / LAD GCP Data Engineer

IAD / SAD Developer Ansible OpenShift

Senior Business Intelligence Analyst

Role Description: <ul><li>SOFTWARE DEVELOPMENT: Partners to design and develop high quality software solutions by writing clean, maintainable and efficient codes.</li><li>AUTOMATION: Applies internal software deployment platform, methodologies and tools to automate the deployment process, ensuring smooth and reliable releases.</li><li>COLLABORATION: Partners with cross functional team of product managers, designers and other engineers to gather moderately complex requirements and deliver solutions that meet business needs.</li></ul> Responsibilities: <ul><li>SOFTWARE DEVELOPMENT: Partners to design and develop high quality software solutions by writing clean, maintainable and efficient codes.</li><li>AUTOMATION: Applies internal software deployment platform, methodologies and tools to automate the deployment process, ensuring smooth and reliable releases.</li><li>COLLABORATION: Partners with cross functional team of product managers, designers and other engineers to gather moderately complex requirements and deliver solutions that meet business needs.</li><li>TESTING &amp; DEBUGGING: Writes and maintains moderately complex unit tests and integration tests, and performs debugging to maintain the quality and performance of the software.</li><li>CONTINUOUS IMPROVEMENT: Makes suggestions for improving the software development and deployment processes, and implements the approved standards to improve efficiency and reliability.</li><li>DOCUMENTATION: Drafts and maintains comprehensive documentation for moderately complex software applications, deployment processes and system configurations.</li><li>TECHNICAL SUPPORT: Provides technical support and troubleshooting for moderately complex issues with deployed applications to ensure minimal downtime and fast resolution.</li></ul> Requirements: <ul><li>Software Engineer: Minimum requirement of 3 years of relevant work experience.&nbsp;</li><li>React/Typescript/UI</li><li>Java/Spring Boot/Python/APIs</li><li>PostgreSQL</li><li>CI/CD pipelines</li><li>AWS/Azure Cloud Services</li></ul>

Responsibilities: <ul><li>Designs and develops high quality software solutions by writing clean, maintainable and efficient codes.</li><li>Leads the application of internal software deployment platform, methodologies and tools to automate the deployment process, ensuring smooth and reliable releases.</li><li>Partners with cross functional team of product managers, designers and different engineers to gather complex requirements and deliver solutions that meet business needs.</li><li>Writes and maintains complex unit tests and integration tests, and performs debugging to maintain the quality and performance of the software.</li><li>Suggests options for improving the software development and deployment processes, and implements the approved standards to improve efficiency and reliability.</li><li>Builds and maintains comprehensive documentation for complex software applications, deployment processes and system configurations.</li><li>Provides technical support and troubleshooting for complex issues with deployed applications to ensure minimal downtime and fast resolution.</li></ul> Requirements: <ul><li>Minimum requirement of 4 years of relevant work experience.</li><li>Typically reflects 5 years or more of relevant experience.</li><li>Experience with one or more of the following technologies:</li><li>React/Typescript/UI’s.</li><li>Java Spring Boot/ Python / API’s.</li><li>PostgreSQL.</li><li>CI/CD pipelines.</li><li>AWS Cloud Services.</li></ul>

Responsibilities: <ul><li>Designing, implementing, and optimising scalable data pipelines using Python, PySpark, and Databricks.</li><li>Driving the delivery of customer-facing data products through APIs, Databricks-based sharing, and event-driven mechanisms (e.g., Kafka or similar).</li><li>Taking ownership of end-to-end features — from scoping and development to deployment and monitoring.</li><li>Leading and participating in technical design discussions, contributing to architectural improvements and long-term data strategy.</li><li>Mentoring and coaching junior engineers actively while supporting their technical and professional development.</li><li>Collaborating with cross-functional teams to understand business requirements and translate them into technical solutions.</li><li>Conducting peer code reviews, upholding code quality standards, and championing continuous improvement practices.</li><li>Contributing to the team’s agile delivery process and provide input during planning and retrospectives.</li></ul> Requirements: <ul><li>Have extensive experience in data engineering or backend software engineering with a data focus.</li><li>Be proficient in Python, PySpark, and working within Databricks environments.</li><li>Have hands-on experience designing and delivering data products via REST APIs, event-driven systems, or data sharing platforms like Databricks Delta Sharing.</li><li>Have a solid understanding of distributed data processing, ETL/ELT workflows, and data lake/lakehouse architectures.</li><li>Have experience with cloud platforms (e.g., AWS, Azure, GCP) and modern data tooling.</li><li>Have a proven track record of mentoring or coaching other engineers.</li><li>Have effective communication and collaboration skills, including the ability to explain complex concepts to non-technical stakeholders.</li><li>Be familiar with agile development practices</li></ul>

Responsibilities:&nbsp; <ul><li>Architect, design, build, and maintain high-impact software systems that align with business objectives and uphold technical excellence.</li><li>Own end-to-end delivery of outcomes, ensuring solutions meet functional and non-functional requirements; proactively adapt strategy and execution when results diverge from goals.</li><li>Collaborate with senior engineers and cross-functional partners across global teams to drive a cohesive and scalable technical strategy.</li><li>Establish and champion engineering best practices, operational efficiencies, and technical standards to elevate the overall quality and effectiveness of the organization.</li><li>Lead, mentor, and support engineers through thoughtful design discussions, rigorous code reviews, and targeted coaching to promote continuous improvement and growth.</li></ul> Requirements: <ul><li>Education: Bachelor’s or Master’s degree in Computer Science or a related field.&nbsp;</li><li>Experience: 6+ years of software development experience, with a proven track record of technical leadership.&nbsp;</li><li>Tech Stack Mastery: Exceptional skills in Java, Spring Boot, SQL, and RESTful services.&nbsp;</li><li>Cloud Proficiency: Hands-on experience with public cloud services, preferably AWS.&nbsp;</li><li>Communication: Exceptional ability to collaborate across functional lines and with global, cross-geo teams.&nbsp;</li></ul>

Responsibilities: <ul><li>Design, build, and maintain scalable backend systems using Ruby on Rails, ensuring reliability, performance, and an exceptional user experience.</li><li>Collaborate closely with Product and Design teams to translate customer needs into high-impact technical solutions, balancing simplicity with scalability.</li><li>Define and communicate clear technical specifications by breaking down complex requirements into actionable, well-structured implementation plans.</li><li>Uphold engineering excellence through test-driven development (TDD), comprehensive integration testing, and disciplined API design and management.</li><li>Optimize data storage and messaging systems, including PostgreSQL, NoSQL databases, and RabbitMQ, to ensure system efficiency and stability.</li><li>Mentor and support fellow engineers through pairing, knowledge sharing, and leading refactoring initiatives to continuously raise team-wide technical standards.</li></ul> Requirements: <ul><li>Technical Depth: A degree in Computer Science (or equivalent experience) and 3+ years of professional mastery in Ruby and its frameworks (Rails, Grape, or Sinatra).&nbsp;</li><li>A Quality Mindset: A strong TDD advocate who lives and breathes RSpec.&nbsp;</li><li>Systems Thinking: Deep experience with relational databases and message-driven architectures. You understand how parts of a system talk to one another.&nbsp;</li><li>Growth Mindset: A drive to learn and take ownership. You dont wait for permission to make things better.&nbsp;</li><li>Effective Communication: The ability to influence technical decisions and explain "the why" to both technical and non-technical stakeholders.</li></ul>

Responsibilities:&nbsp; <ul><li>Lead the architecture and design efforts, aligning with future scalability and business objectives.</li><li>Provide mentorship, set technical direction, and drive excellence in the team.</li><li>Establish technical roadmap with cross-functional teams and stakeholders, ensuring alignment with business objectives.</li><li>Simplify and break down complex requirements into manageable deliverables and milestones through development of technical specifications.</li><li>Ensure deliverables meet the functional and non-functional criteria, and drive changes proactively where outcomes are misaligned.</li><li>Promote a culture of continuous improvement by guiding other engineers through design, code, and operational reviews.</li></ul> Requirements: <ul><li>Deep Expertise: 10+ years of software development experience, with at least 3 years in a formal technical leadership role.&nbsp;</li><li>The Java Stack: You are an expert in Java, Spring Boot, and SQL, with a proven track record of building distributed services that dont fail.&nbsp;</li><li>Cloud Native: Extensive experience with public cloud services (we prefer AWS) and a deep understanding of fault-tolerant, distributed systems.&nbsp;</li><li>Strategic Vision: You can zoom out to see the business objective and zoom in to solve a granular technical bottleneck.&nbsp;</li><li>Collaborative Leadership: Exceptional communication skills. You can explain architectural trade-offs to stakeholders and inspire engineers in the same hour.&nbsp;</li><li>Education: Bachelor’s or Master’s degree in Computer Science or a related technical field.&nbsp;</li></ul>

Responsibilities:&nbsp; <ul><li>Lead and own the architectural design of the cloud platform, ensuring solutions align with scalability requirements and long-term business objectives.</li><li>Define and execute the technical roadmap in collaboration with cross-functional stakeholders to advance the product vision.</li><li>Translate complex business requirements into clear technical specifications, actionable milestones, and high-quality deliverables.</li><li>Drive engineering excellence by proactively managing functional and non-functional requirements, and initiating corrective action when outcomes diverge from expectations.</li><li>Mentor and develop engineers through structured design, code, and operational reviews, fostering a culture of continuous improvement and technical rigor.</li></ul> Requirements: <ul><li>Experience: 10+ years of software development experience, with at least 3+ years in a technical leadership role.&nbsp;</li><li>Education: Bachelor’s or Master’s degree in Computer Science or a related field.&nbsp;</li><li>Deep Technical Expertise: Extensive mastery of Java, Spring Boot, and SQL.&nbsp;</li><li>Cloud &amp; Distributed Systems: Proven experience designing and operating modern cloud-native, fault-tolerant distributed services (preferably on AWS).&nbsp;</li><li>Architecture: Solid understanding of Microservices and REST API standards.&nbsp;</li><li>Quality Focus: Strong experience in writing Unit and API tests to ensure platform stability.&nbsp;</li><li>Soft Skills: Exceptional strategic thinking and the ability to communicate technical concepts to non-technical stakeholders.</li></ul>

Responsibilities: Architecture &amp; Design:&nbsp; <ul><li>Design end-to-end data architectures that integrate real-time streaming (Kafka, GCP Pub/sub) and batch processing (Big Query OR Databricks).</li></ul> Pipeline Development:&nbsp; <ul><li>Build and maintain robust ETL/ELT pipelines flowing into BigQuery/Databricks, ensuring data is clean, modeled, and ready for consumption.</li></ul> Custom Integration:&nbsp; <ul><li>Develop custom APIs and microservices using Java/Python/C# to facilitate data movement between niche systems and the data lakehouse.</li></ul> Infrastructure Management:&nbsp; <ul><li>Deploy and manage data workloads on Google Kubernetes Engine (GKE), ensuring high availability and cost-efficiency.</li></ul> Technical Leadership:&nbsp; <ul><li>Mentor junior engineers, conduct code reviews, and establish DataOps best practices (CI/CD, automated testing, and monitoring).</li></ul> Data Reliability:&nbsp; <ul><li>Implement data quality frameworks to ensure accuracy and lineage across the hybrid environment.</li></ul> Requirements: <ul><li>Experience with Terraform &amp; Azure Dev Ops (ADO).</li><li>Knowledge of workflow orchestrators like Apache Airflow (Cloud Composer).</li><li>Experience implementing Data Governance (metadata management, data cataloging).</li><li>Data Processing &amp; Storage</li><li>BigQuery: Expert-level SQL and experience with partition/cluster optimization.</li><li>Databricks: Deep knowledge of the Lakehouse architecture, Delta Lake, and Spark (PySpark/Scala) Software Engineering &amp; APIs</li><li>Languages: Proficiency in Java/Python/C# for backend development and custom data connectors.</li><li>API Design: Proven ability to build and consume RESTful APIs for data ingestion Streaming &amp; Infrastructure</li><li>Kafka/GCP Pub-Sub: Experience building event-driven architectures and managing producers/consumers.</li><li>GKE: Proficiency in containerization (Docker) and orchestrating data workloads on Kubernetes.</li></ul>

Responsibilities: <ul><li>Perform systems analysis and design for applications deployed using Ansible and OpenShift.</li><li>Design and develop moderate to complex applications in alignment with business and technical requirements.</li><li>Create, maintain, and ensure accuracy of comprehensive application documentation.</li><li>Define, build, and deliver application and system integration builds.</li><li>Monitor, evaluate, and apply emerging technology trends to improve system architecture and development practices.</li></ul> Requirements: <ul><li>5+ years of experience</li><li>Bachelor’s Degree or International equivalent&nbsp;</li><li>Extensive experience with core Java concepts and Java EE.</li><li>Extensive experience with Spring and Spring Boot.</li><li>Experience with CI/CD code automation, Ansible &amp; DevOps</li><li>Experience with OpenShift</li><li>Good understanding of software architecture and design principles.</li><li>Understanding of data structures, programming logic, and design</li><li>Understanding of application design patterns</li><li>Excellent written &amp; verbal communication skills</li><li>Excellent attention to detail</li></ul>

Role Description: <ul><li>The Continuous Improvement EMIA team reports to Operations Automotive EMIA.</li><li>By providing new generation digital solutions to our Operational teams across EMIA, our team creates full transparency and speed in the ongoing digital &amp; lean transformation(s), which will enable all involved functions to leverage data to develop business insights and roadmap updates based upon clearly arranged and understandable data. Due to the extended scope, focusing also on the connecting processes from Supplier(s) to Manufacturing ending at the Customer(s) (internal and external) we will function as ‘the’ differentiator for our Company.</li><li>The Data Scientist Automotive EMIA will report to the Smart Factory Leader Automotive EMIA.&nbsp;</li></ul> Responsibilities:&nbsp; <ul><li>Lead projects and work together with our Automotive EMIA Operations plants, internal (IT, , Corporate Technology, CoE, SC, ..) and external partners in the area of Smart Factory (Applications, ML, AI, DL), aligned with Operations Automotive EMIA Strategy.</li><li>Lead Smart Factory improvement projects (Enhancements) of existing applications together with internal / external supplier and customers (project management) until the level of RTD (Ready To Deploy)</li><li>·Use a combined knowledge of computer science and applications, modelling, statistics, analytics and maths to solve problems.</li><li>Identify and interpret data sources, manage large amounts of data, merge data sources together, ensure consistency of datasets, create visualizations to aid in understanding data.</li><li>Develop, Validate and Deploy (including Training and Coaching of the users) until the level of RTD (Ready To Deploy), Digital Factory Applications, ML models, contributing to waste elimination and efficiency improvements within all Operations functions (Manufacturing, Quality, SC, LOG, ….), this together with our internal and external partners.</li></ul>&nbsp;Requirements: Desired candidate &amp; Qualification <ul><li>Good understanding of a technology driven manufacturing company.</li><li>Knowledge of the core manufacturing technologies: Stamping, Plating, Assembly, Molding.</li><li>Experienced with data visualization tools like PowerBi, Tableau, ThingWorx,..</li><li>Good applied statistics skills, such as distributions, statistical testing, regression, etc.</li><li>Development experience in programming languages R, Python.</li><li>Knowledge, experience in JAVA scripting</li><li>Excellent pattern recognition and predictive modelling skills.</li><li>Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, neural networks and deep learning etc.</li><li>Experience in technologies like, Jupyter Notebooks, Numpy, Pandas, Seaborn, Scikit-learn, PyTorch and TensorFlow.</li><li>Exposure to recent developments in Deep Learning, Gen AI, Agentic AI domain.</li><li>Database skills, on-premises and cloud based.</li><li>Experience in AWS is an advantage, functional knowledge of AWS platforms such as Sagemaker, S3, and RedShift.</li><li>Excellent presentation skills in both spoken en written English.</li><li>&nbsp;Excellent and strong communicator</li><li>The ability to translate, explain and bring, complex data science topics to an easy understandable level, speeding up acceptance level in general.</li><li>Bachelor or master’s in data science</li><li>Team player with a solution focused problem-solving mentality.</li><li>Change agent with high Execution level, including training and coaching talents.</li><li>Passioned about the combination of Technology, Data, Analytics and Statistics with link to Quality, Product and Process Engineering</li><li>Inspired by and searching actively for new technologies and methods.</li></ul>

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24 backend developer java Jobs found

Software Engineer

Senior Software Engineer

Intermediate / Senior Data Engineer

Senior Software Engineer 1

Senior Software Engineer 2 (Ruby on Rails)

Staff Software Engineer

Senior Software Engineer 2

IAD / SAD / LAD GCP Data Engineer

IAD / SAD Developer Ansible OpenShift

Senior Business Intelligence Analyst

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24 backend developer java Jobs found

Software Engineer

Senior Software Engineer

Intermediate / Senior Data Engineer

Senior Software Engineer 1

Senior Software Engineer 2 (Ruby on Rails)

Staff Software Engineer

Senior Software Engineer 2

IAD / SAD / LAD GCP Data Engineer

IAD / SAD Developer Ansible OpenShift

Senior Business Intelligence Analyst

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

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WhiteCrow
WhiteCrow is on a mission to connect companies with the best talent across the globe.