Provide functional application support within distributed microservices environments and handle API support. Perform frontend triage and utilize APM tools and logs for troubleshooting.
Bridge 351
34 Remote Job Openings at Bridge 351
Governance Risk and Compliance Expert (Full remote - Europe)
Bridge 351
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Full Time
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4 days ago
Bridge 351
The role involves turning legal and governance requirements into concrete documentation and processes across ICT systems. Key tasks include preparing RoPAs and DPIAs, validating technical data protection arrangements, and providing privacy-by-design input for projects.
Model and transform data into consistent analytical structures while building and optimizing ELT pipelines. Collaborate with cross-functional teams to provide reliable semantic layers and ensure high data quality and observability.
Application/Cloud Architect – European Commission (Full remote)
Bridge 351
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Full Time
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5 days ago
Bridge 351
The architect will co-develop a corporate crisis management platform for the European Commission using event-driven architecture. Responsibilities span the full development lifecycle, including API design, backend/frontend implementation, and DevOps pipeline management.
The role involves providing evolutionary support and application maintenance for the SAP SuccessFactors LMS module. Responsibilities include ensuring solution stability, resolving incidents, and implementing system enhancements for end users.
Operate and support enterprise-scale Kubernetes production environments while managing observability platforms. Define SLIs, SLOs, and SLAs to ensure system reliability and performance.
Operate and support enterprise network and security infrastructure while leading incident response and troubleshooting activities. Ensure operational compliance with security standards and maintain critical documentation and runbooks.
Develop and maintain robust data pipelines and analytical data models using SSIS and SSAS. Build reporting solutions with Power BI and SSRS while optimizing SQL Server performance and ensuring data quality.
Define and document end-to-end AWS cloud and software architectures, focusing on scalability, security, and performance. Lead the engineering team in delivery, mentoring developers and managing the technical backlog to ensure high-quality project execution.
Build and maintain data pipelines for collecting, transforming, and integrating data from various sources. Ensure efficient data enablement and reporting solutions through the deployment of scalable data products.
The role involves refining GenAI user stories and aligning the GenAI scope with the Enterprise Architecture team. The engineer will assess the feasibility, risks, and security implications of GenAI implementations while acting as a technical partner for decision-making.
Lead the Automation Center of Excellence by ensuring the stability and evolution of hyperautomation solutions. Focus on transitioning existing automations toward advanced AI-driven models and agentification while defining governance and deployment standards.
The role involves designing and optimizing data flows within a Fabric Lakehouse environment, focusing on low-latency processing and multi-stack integration. Responsibilities include implementing data design patterns like SCD and managing transaction logs for Delta Lake.
Develop and maintain scalable data pipelines and manage solutions within the Microsoft Fabric Lakehouse environment. Collaborate with Data & AI teams to optimize cloud-based data solutions and ensure governance standards.
Define standards and blueprints for AI integration across the SDLC and DataOps while ensuring technical governance. Collaborate with cross-functional teams to maintain architectural consistency and support digital transformation initiatives.
The role involves developing and implementing advanced backend automation solutions. The engineer will integrate these solutions into CI/CD pipelines using Docker.
The role involves performing test automation using Cucumber and BDD methodologies within a quality-focused team. The engineer will work in an Agile/Scrum environment to ensure software quality across various projects.
The role involves joining a multidisciplinary Agile team to develop and maintain automated tests. The focus is on ensuring software quality through automation within an international project environment.
Design and develop scalable backend platforms and reusable APIs, as well as implement cloud-native and containerized applications. Collaborate with cross-functional teams to translate business requirements into technical solutions.
Promote QA best practices and automation while identifying continuous improvement opportunities in testing and delivery processes. Contribute to AI-driven testing initiatives and help define quality standards and governance.
Develop analytical and machine learning models to create measurable business value. Collaborate with diverse teams to craft impactful data-driven solutions across the full analytical lifecycle.
Design and execute advanced analytical and machine learning solutions while linking technical decisions to business objectives. Mentor mid and junior engineers to ensure technical excellence and drive high-quality decision-making across cross-functional groups.
Define and design end-to-end technology architectures to ensure solutions are scalable, secure, and aligned with business objectives. Translate business needs into technical requirements and produce architectural artifacts such as high-level designs and API models.
Design and document architectural solutions for application and integration challenges, ensuring alignment with functional and technical requirements. Act as the primary architectural reference point throughout the project lifecycle and collaborate with stakeholders to align decisions.
Lead the design and implementation of end-to-end cloud-native data architectures, including ingestion, modeling, and orchestration. Provide technical leadership by mentoring engineers, optimizing pipelines, and communicating complex decisions to stakeholders.
The candidate will develop and maintain ETL/ELT pipelines using Azure Data Factory, Databricks, and PySpark. They will also support data preparation and validation within Data Lake and Lakehouse environments.
Develop and maintain fullstack web applications using .NET and JavaScript. Responsible for creating back-end procedures, managing SQL databases, and interpreting end-user requirements into technical solutions.
The role involves applying secure development practices and ensuring compliance with European information security regulations. The expert will implement security frameworks and manage risks within software and cloud environments.
Manage and maintain system infrastructure focusing on Ubuntu Linux, containerization, and CI/CD pipelines. Ensure system stability through monitoring, backup practices, and network management.
Develop and implement AI solutions by designing proof-of-concepts and translating them into minimum viable products. Collaborate with cross-functional teams to optimize AI models and integrate capabilities into existing systems.
The role involves end-to-end application management, including corrective and evolutive maintenance of enterprise applications. The specialist will also develop mini-projects and provide continuous functional and technical support.
Responsible for the analysis, design, and execution of manual and regression tests based on functional requirements. This includes managing test data, logging defects, and collaborating with multidisciplinary teams to promote QA best practices.
Support the development of ETL processes and maintain SQL queries to ensure efficient data flow. Assist in data modeling and the creation of reports using Power BI and SSRS.
Develop and maintain robust data pipelines and analytical data models using SSIS, SSAS, and SQL Server. Build reporting solutions with Power BI and SSRS while collaborating with business teams to translate requirements into technical solutions.
