• Provide technical leadership in the design, integration, implementation, and transition of enterprise SaaS human services system • Flexible design architectural approach to deliver configurability along the data creation, integrations, workflows, notifications, and data persistence • Understand and synthesize integration requirements, and develop recommendations based on business objectives, product roadmap, solution architecture and technical considerations • Contribute to the development of our platform functionality using state-of-the-art frameworks and tools Specify and troubleshoot API integrations in an ecosystem of multiple systems • Work closely with client stakeholders, partners, product managers, creative designers, platform architect, and other software engineers • Constantly learn and use leading-edge technologies • Implement a system that will address the needs of vulnerable populations • Contribute to the highest security, extensibility, reusability and testing standards in system architecture and software, interface, components, data structures, and algorithms specifications.

• Take the lead in creating innovative features by following best practices and maintaining exceptional code quality • Engage in every phase of the SDLC; contribute to the architecture, code development, and even oversee the launch of new releases • Support critical services for our customers which ensures the security of their payments • Keep a finger on the pulse of the technology landscape. Identify emerging technologies and industry trends, and be proactive in recommending relevant improvements to our existing stack • Champion engineering excellence by fostering a culture of continuous improvement. Lead by example in practices such as code reviews, Test-Driven Development (TDD), pair programming, writing clean and maintainable code, etc.

Job Title Senior Backend Engineer - Data Platforms Location(s) Spain - Remote (Home Based) About Us Revvity is a developer and provider of end-to-end solutions designed to help scientists, researchers, and clinicians solve the world’s greatest health challenges. We pair the enthusiasm of an industry disruptor with the experience of a longtime leader. Our team of 11,000+ colleagues from around the globe are vital to our success and the reason we’re able to push boundaries in pursuit of better human health. Find your future at Revvity Revvity Signals platforms aim to revolutionize scientific research by providing advanced cloud SaaS data management and data analytics tools to researchers and professionals in the life sciences industry. If you are looking to join an international team of talented engineers, designers, and product managers, and contribute to delivering amazing, high-impact, customer-focused features, this is a great opportunity. About the Role We’re looking for a Senior Backend Engineer to join our growing data platform team. In this role, you’ll architect and build scalable, high-performance backend systems that power advanced analytics and data-driven decision-making across the organization. What You’ll Do - Design and implement cloud-native backend services for large-scale data processing and analytics - Collaborate with data scientists, analysts, and product teams to turn complex business needs into elegant technical solutions - Build and optimize **data models** and pipelines for performance, scalability, and reliability - Drive **cost-efficient** and **secure** use of cloud infrastructure (primarily AWS) What We’re Looking For (Must have) - 5+ years of experience as a backend engineer, ideally in data-intensive environments - Strong proficiency in Python (preferred), with additional experience in Java or Scala a plus - Deep experience with AWS (preferred), Azure, or GCP, and its data ecosystem (e.g., ECS, Fargate, S3, Redshift, Lambda) - Familiarity with containerization and orchestration tools (Docker, Kubernetes) - Solid understanding of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, etc.) - Strong problem-solving skills and a collaborative mindset. - Excellent problem-solving skills and ability to mentor others Nice to Have - Master’s degree in Computer Science, Engineering, or a related field - Experience working with streaming data, event-driven architectures, or real-time analytics - Hands-on experience with big data frameworks (e.g., Dask, Spark, Hadoop) - Exposure to machine learning workflows, data science tools, or BI platforms - Contributions to open-source projects or technical blogs

• You will be closely working with a team of other experienced developers and doing pretty much everything, from developing large features to fixing on-call bugs. • You will be designing and developing new APIs, optimizing/fixing bugs in the existing APIs, and writing tests for the APIs. • If there are any on-call bugs, resolving them will be your first priority. And then, you will continue working on the feature development planned for the sprint. • Additionally, if you have experience/interest in front-end development, you will be contributing to front-end development in NextJS and jQuery.