Top Engineering Jobs

Build and grow Celonis's process modeling library using TypeScript, Angular, and HTML5. Develop graph rendering, dynamic layouts, and interaction logic for complex data sets. Collaborate with Product, UX, and engineering teams, write tested production-quality code, make technical decisions, mentor engineers, and use AI coding tools daily to accelerate development.

Develop and maintain high-performance C++ backend systems for Celonis’s query engine and core mining platform. Responsibilities include designing query optimization, transaction management, and distributed data processing algorithms; resolving scalability bottlenecks; implementing parallel execution and resource management; improving database reliability and performance; mentoring engineers; reviewing code; and delivering production features.

Lead Celonis’s global IT Platform and Infrastructure team, owning the strategy, reliability, governance, security, and evolution of Google Workspace, Slack, Atlassian Cloud, and other SaaS platforms. Manage distributed platform engineers, budgets, vendors, cloud infrastructure, integrations, backup and recovery, and audit readiness. Apply AI to automate platform operations, provisioning, incident triage, reporting, and documentation while enabling secure AI adoption across the company.

Build and maintain Java components in a PostgreSQL ecosystem, including client libraries, database proxies, schema tools, and sharding solutions. Own component reliability, performance, security, provisioning, and operations while collaborating with infrastructure and downstream teams. Work with Terraform, Kubernetes, containerization, distributed systems, testing, monitoring, and infrastructure-as-code. Document architecture and operational processes, and potentially maintain forks of open-source projects.

Lead development and production operation of distributed microservices supporting analytical query engines. Evolve a premium query engine, deliver migration milestones, analyze customer workloads, build operational tooling, and maintain security and reliability across large-scale systems. The role requires Java and Python expertise, distributed data-intensive systems experience, asynchronous programming, fleet-wide deployments, and production ownership.

Develop and optimize a highly parallelized, distributed process query engine using modern C++ and Java. Design data-management and query-execution algorithms, benchmark performance, improve scalability and reliability, support production systems, mentor engineers, lead projects, and define technical roadmaps while collaborating with stakeholders and customers.

Own the architecture, development, reliability, and delivery of latency-sensitive provisioning and licensing systems. Build Java and Spring Boot services, contribute to self-managed and on-premise platform solutions, and deploy tooling using Kubernetes, infrastructure as code, and containerization. Collaborate across engineering and business teams, shape technical strategy, maintain scalability and latency SLAs, implement comprehensive testing, and document systems and processes.

Lead enterprise, data, cloud, and solution architecture for major customer accounts. Translate strategic objectives into technical plans, present to C-level executives, architect modernization and Agentic AI solutions, and support pre-sales and post-sales engagements. Collaborate with sales, product, engineering, security, and consulting teams; assess IT maturity; guide integrations, scalability, and performance; coach delivery teams; and create reusable technical assets, designs, presentations, and thought leadership.

Design and lead enterprise solution and data architectures for large accounts, engage C-level stakeholders, unblock technical sales, guide integrations, cloud strategy, automation, and coach consulting teams to drive adoption, retention, and revenue.

Design and lead enterprise solution architectures for large customers, support pre- and post-sales, unblock technical barriers, align cloud/data strategy with business goals, coach consulting teams, and develop reusable technical assets and thought leadership.