Senior Software Engineer, Backend - Data Layer

About Camunda

Camunda is the enterprise platform for agentic orchestration, enabling organizations to coordinate AI agents, people, and systems across complex, end-to-end business processes. With built-in governance, auditability, and human oversight, Camunda gives enterprises the control they need to move AI from pilots to production — safely and at scale. Trusted by over 700 organizations worldwide, including 9 of top 10 US banks, Camunda helps enterprises boost operational efficiency, accelerate time-to-value, and deliver better customer experiences.

Fully remote and global, we are in the middle of something bigger: transforming into an AI-first organisation, built on our own platform. We use Agentic AI to automate, orchestrate intelligent processes, and elevate human contribution across every team.

About the role

As a Backend Senior Software Engineer on the Data Layer team, you'll help build and evolve the storage and query layer that keeps Camunda 8's process data fast, accurate, and available at scale. Spanning both relational databases and Elasticsearch/OpenSearch, the data layer and its data pipelines power everything from process monitoring to the new agent-driven automation capabilities we're rolling out.

As part of the Data Layer team, you will work on both technically challenging and rewarding projects, such as reshaping how we store and retain process data, streaming data to external systems, and evolving our secondary storage systems to perform at ever greater scale.

At Camunda, we approach engineering in a holistic manner. As such, you will form strong partnerships with product management, design, QA, and support, and work with your peers to not only deliver but directly influence how our data layer evolves to meet our customers' needs.

What You’ll Be Doing

• Design, build, and maintain backend services for the data layer that stores and serves Camunda 8's process data, spanning relational databases and Elasticsearch/OpenSearch, with an eye toward correctness, performance, and scale.
• Own the end-to-end delivery of engineering initiatives, working with Product Management and colleagues across the business to break down requirements into concrete solution designs, driving projects to timely and high-quality delivery.
• Help evolve how we process, retain, and expose process data, so customers can work with their data the way they need to.
• Invest in making our secondary storage systems more performant and scalable as usage grows, and build tooling that makes it easier to understand, troubleshoot, and safely operate the data layer in production.
• Participate in L3 support and on-call rotations, partnering with Support and SRE to investigate data layer production issues, and feeding what you learn back into the product.

What You Bring

• At least 7 years of experience as a backend engineer, with a strong focus on backend systems and production data stores.
• Deep experience with both Relational Databases (ideally PostgreSQL, MySQL, MariaDB, or MSSQL), and Elasticsearch/OpenSearch, with a practical understanding of query performance, indexing, and data modeling trade-offs.
• Proven experience leading medium-to-large engineering initiatives (3+ months) end-to-end — solution design, project planning, coordinating across teams, and driving predictable delivery.
• Comfortable investigating slow queries, execution plans, and index usage to root-cause data-related production issues.
• Strong communication and collaboration skills in a remote-first environment: you translate requirements into actionable technical work with Product, and give and receive clear, direct feedback in code review.

Nice-to-haves

• Experience building workflow automation or process orchestration software.
• Experience working with both relational databases and Elasticsearch/OpenSearch.
• Experience building or maintaining CI pipelines.
• Understanding of database migration tooling (e.g. Liquibase, Flyway) and schema evolution in a live system.