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Senior software engineer - scalable web platform (remote)

Iterable
Web
Anunciada dia 8 junho
Descrição

Full Stack Developer – IQVIA OneKey Ecosystem Job Overview: By joining the OneKey Developing team, you will provide experienced, comprehensive, and advanced technical expertise to develop and maintain our internal OneKey systems to meet our clients' needs (internal & external). Responsibilities Design, develop, and maintain full-stack applications using Angular (frontend) and Java (backend) Build responsive, user-friendly interfaces with modern UI/UX standards Develop and maintain RESTful APIs and backend services Integrate frontend components with backend logic and Oracle databases Deploy, manage, and monitor applications in Azure Cloud environments Work with Kubernetes to deploy, scale, and manage containerized applications Use AI-assisted development tools (e.g., GitHub Copilot, Cursor) to improve productivity, code quality, and development efficiency Collaborate with cross-functional teams (DevOps, QA, Product Owners) Participate in code reviews, ensuring best practices and high-quality code Manage source code and CI/CD pipelines using GitLab Troubleshoot, debug, and optimize application performance Contribute to technical documentation and continuous improvement initiatives Qualifications 3–5 years of experience as a Full Stack Developer or similar role Strong experience with Angular and Java (Spring Boot or similar) Experience with Oracle databases (SQL, data modeling) Hands‐on experience with Kubernetes Familiarity with GitLab for version control and CI/CD pipelines Experience with Azure Cloud Good understanding of REST APIs, microservices architecture, and containerization Experience or strong interest in using AI‐powered development tools Knowledge of Agile development methodologies (Scrum/Kanban) Strong problem‐solving skills and attention to detail Good communication skills and ability to work effectively in a team environment EEO Minorities/Females/Protected Veterans/Disabled Software Engineer – Omni‐Channel Retail Role: Software Engineer (Omni‐Channel Retail) Key Responsibilities Analyze business and technical requirements to design robust backend solutions Design and implement integrations with order management and retail systems Develop, test, and deploy scalable microservices using modern Java technologies Ensure high performance, reliability, and maintainability of applications Troubleshoot and resolve production issues, defects, and performance bottlenecks Collaborate with DevOps teams to improve CI/CD pipelines and deployment processes Contribute to system enhancements and continuous improvement initiatives Translate functional specifications into technical solutions Support testing strategies and contribute to automation efforts Participate actively in Agile ceremonies (Sprint Planning, Stand‐ups, Reviews, Retrospectives) Required Skills & Qualifications Technical Skills Strong experience in Java development (modern versions) and Spring ecosystem Experience with microservices architecture and API‐first design Solid knowledge of RESTful APIs and integration technologies (JSON, XML, HTTP, GraphQL) Experience with order management systems and omni‐channel retail processes Familiarity with databases (SQL and NoSQL) Experience with containerization and cloud environments (Docker, Kubernetes) Knowledge of CI/CD pipelines and DevOps practices Experience with messaging systems and event‐driven architectures Understanding of security standards (OAuth2, OIDC, IAM) Tools & Technologies API testing and development tools Code quality and monitoring tools Collaboration tools (Agile project management and documentation platforms) Soft Skills Strong analytical and problem‐solving abilities Excellent communication and teamwork skills Ability to work in a cross‐functional and international environment Proactive mindset and continuous learning attitude Ability to work autonomously in a fast‐paced Agile setting Education & Languages Degree in Computer Science, Software Engineering, or related field Fluent in English (additional languages are a plus) Java Developer – Global Banking IT Division Location: Lisbon/Porto – Hybrid: 2x onsite per week Responsibilities Develop and maintain backend and frontend applications Contribute to the technology migration (Java 8/11 → 21) Implement new features and resolve production issues Integrate with external systems and internal services Collaborate with technical and business teams Mentor and support more junior team members Requirements 7–8 years of experience in software development Strong experience with Java (8‐21) and Spring Boot Experience with recent Angular versions is a plus Experience with microservices architectures Experience with relational databases (Oracle is a plus) Experience working in Agile environments (Scrum, Jira) Mentoring mindset and knowledge‐sharing attitude Strong problem‐solving skills and autonomy Fluency in English Accenture – Software Development Responsibilities Design applications and technical solutions Create new programs and develop existing programs Ensure and organize a smooth and easy deployment Develop functionalities and JAVA applications (for >4 years) Ensure the quality of the code and of the final product obtained Know how to document "technical stories" and the technical solutions needs for the development of functionalities Participate in coding review sessions Requirements Develop functionalities and JAVA applications (for >4 years) Ensure the quality of the code and of the final product obtained Know how to document "technical stories" and the technical solutions needs for the development of functionalities Participate in coding review sessions Senior Backend Software Engineer – Iterable How you will make an impact Contribute to team roadmap and planning sessions to enhance the product's customer value Collaborate with cross‐functional teams, product, and design to conceptualize and build new product features Be personally responsible for the entire lifecycle of projects, from initial engineering design and planning through development, deployment, and success in production Develop solutions to scale a complex platform that reaches millions of users Contribute to the code review process by offering suggestions for improvement and helping define and enforce coding standards Leverage design discussions and other team engagements as an opportunity to level up your team and the product Bonus Points Experience with End‐to‐End, Integration, and Performance testing Previously built enterprise systems at scale Worked in a company with a strong US presence Private Medical Insurance Meal Allowance: 8.55€ per day Balance Days (additional paid holidays) Paid Annual Leave (22 days) Paid Sabbatical (after 4 years of tenure) Initial laptop workstation setup Specialist Software Engineer – AMGEN What you will do Design, develop, and support scalable enterprise data and integration solutions enabling analytics, reporting, and business decision‐making Build and maintain cloud‐native data pipelines, APIs, and integration platforms using Databricks, Apache Spark, MuleSoft, Airflow, and AWS Develop and optimize ETL/ELT processes to support large‐scale structured and unstructured data processing across multiple enterprise platforms Collaborate with cross‐functional teams to understand data requirements and design solutions that meet business needs Build scalable and reusable data processing frameworks, components, and integration services following enterprise engineering standards and best practices Develop and maintain data models, metadata definitions, data dictionaries, and technical documentation to ensure data consistency, accuracy, and governance compliance Implement data validation, reconciliation, and quality control processes to ensure reliability and integrity of enterprise data assets Optimize Spark jobs, SQL queries, APIs, and ETL pipelines for scalability, reliability, and performance Leverage AWS cloud services to develop scalable, resilient, and secure data solutions and integration services Implement monitoring, logging, alerting, and operational support processes for data pipelines, APIs, and cloud‐based integrations Support CI/CD automation and DevOps best practices for data engineering and integration deployments Identify, troubleshoot, and resolve complex data processing, integration, and performance‐related issues in a timely manner Research and evaluate emerging technologies, tools, and AI‐assisted engineering capabilities that improve platform performance, developer productivity, and operational excellence Adhere to software engineering best practices including coding standards, unit testing, reusable component design, peer reviews, and documentation standards Participate in sprint planning, backlog refinement, estimation, and other agile software delivery activities Basic Qualifications and Experience Master's degree and 3–7 years of Computer Science, IT or related field experience Bachelor's degree and 5–9 years of Computer Science, IT or related field experience Diploma and 7–11 years of Computer Science, IT or related field experience Must‐Have Skills Hands‐on experience with big data technologies and platforms, such as Databricks, Apache Spark, workflow orchestration, and performance tuning Proficiency in data analysis tools (e.g., SQL) and experience with data visualization tools Skilled in MuleSoft API and Mulesoft integration job design and development Excellent problem‐solving skills and the ability to work with large, complex datasets Strong understanding of data governance frameworks, tools, and best practices Knowledge of data protection regulations and compliance requirements (e.g., GDPR, CCPA) Good‐to‐Have Skills Experience with ETL tools such as Apache Spark and various Python packages related to data processing, machine learning model development Strong understanding of data modeling, data warehousing, and data integration concepts Knowledge of AnyPoint Platform, Python/R, Databricks, SageMaker, Airflow, AWS cloud data platforms Proficiency in using Databricks Assistant, and other AI tools Professional Certifications Certified in MuleSoft Certified Developer 1 or higher (preferred) Certified Associate or Professional Data Engineer / Data Analyst (preferred) Certified AWS Professional or Associate certification (preferred) Soft Skills Excellent critical‐thinking and problem‐solving skills Strong communication and collaboration skills Demonstrated awareness of how to function in a team setting Demonstrated presentation skills #J-18808-Ljbffr

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