Senior Backend Engineer – Data Platforms
Revvity
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)
- 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
- 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