Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet.
The Team
Celonis USA is the fastest-growing division of one of the world’s fastest-growing companies.
Come join us on the ground floor on a team dedicated to developing state-of-the-art technology for core Celonis services. The Data Core team builds an engineering team to develop the high-throughput infrastructure that powers monetization, real-time consumption tracking, dynamic entitlement enforcement, and cost optimization across the Celonis services. As our global customer base expands, our backend services process billions of telemetry and usage events daily to deliver precise, transparent, and fault-tolerant billing data in multi-cloud environments.
Join us if you want to grow in your engineering knowledge, tackle complex distributed systems challenges, and leave your mark on a rapidly growing company.
The Role
We are looking for a senior backend developer who enjoys building resilient, low-latency, and high-throughput systems at scale. Within our Pricing service team, you will design and implement the mission-critical core engines that ingest usage telemetry, evaluate dynamic pricing models, enforce feature entitlements, and power cost analytics dashboards for enterprise customers.
The work you’ll do
- Design and implement critical, high-performance microservices to process, aggregate, and reconcile usage telemetry at massive scale with exact-once processing semantics.
- Evangelize best practices in distributed database usage, stream processing, and event-driven end-to-end architecture.
- Set an example for, mentor, and grow your teammates across engineering initiatives.
- Recognize and take action to improve system reliability, developer work environments, and CI/CD pipelines.
- Write clean, understandable, fault-tolerant, and testable code for billing-critical systems.
- Provide thoughtful feedback on technical designs, data schemas, and code reviews of peers.
- Manage individual project priorities, architecture decision records (ADRs), deadlines, and deliverables.
- Document development procedures, metering contracts, system concepts, and domain knowledge.
- Build, launch, and maintain business-critical backend services in production across multi-cloud infrastructure (AWS, Azure, GCP).
- Help define a fun, inclusive, and execution-driven engineering culture.
The qualifications you need
- BS in Computer Science or related technical field; Master's or Ph.D. preferred.
- 5+ years of hands-on software engineering experience building enterprise-grade backend services.
- Experienced in backend development using Java (Spring Boot framework expertise preferred).
- Strong background in real-time stream processing, message queues, or event-driven systems (e.g., Apache Kafka, Flink).
- Familiar with relational and non-relational database design (e.g., PostgreSQL, Redis) with a focus on data accuracy and idempotency.
- Familiar with containerization and cloud orchestration technologies (e.g., Docker, Kubernetes, AWS/GCP/Azure).
- Preferred experience or strong interest in consumption-based pricing, metering infrastructure, financial ledgers, or billing integrations.
The base salary range below is for the role in the specified location, based on a Full Time Schedule.
Total compensation package will include base salary + bonus/commission + equity + benefits (health, dental, life, 401k, and paid time off). Please note that the base salary range is a guideline, and that the actual total compensation offer will be determined based on various factors, including, but not limited to, applicant's qualifications, skills, experiences, and location.
The base salary range below is for the role in New York, based on a Full Time Schedule.
$161,000—$218,000 USD
What Celonis can offer you:
- Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations.
- Ownership from Day 1: Every full-time "Celonaut" is an owner, receiving Restricted Stock Units (RSUs) and merit-based refresh grants.
- Unrivaled Family Support: Benefit from our inclusive parental leave policy—24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from your first day of employment.
- Work-Life Integration: Enjoy Unlimited PTO (in applicable regions) and generous PTO globally, as well as a flexible hybrid work model that balances remote focus with vibrant office collaboration.
- Continuous Growth: Elevate your skills through our 70-20-10 learning framework, mentorship programs, and access to a dedicated learning platform.
- Holistic Well-being: Prioritize your health with subsidized Wellhub memberships, mental health counseling, and dedicated "Wellness Weeks" that prioritize work/life balance.
- Drive Sustainability: Participate in annual Impact Days, where you receive paid time off to volunteer for community and environmental causes with your local office, or virtually.
- Global Inclusion & Belonging: Find community through our Inclusion Think Tank and participate in our annual Inclusion Days, ensuring every voice is heard and valued.
- Value-Driven Impact: Join a mission-led organization where our core values—Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future—drive every decision.
About Us:
Celonis is the trusted platform to industrialize Enterprise AI, empowering organizations to analyze, design, and operate AI-driven processes. The Celonis Platform is powered by the Celonis Context Model, which combines process data, business knowledge, and intelligence to create a living digital twin of the enterprise that AI can understand — turning AI’s operational blind spots into operational clarity. Industry-leading companies around the world trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide.
Get familiar with the Celonis Process Intelligence Platform by watching this video.
Celonis Inclusion Statement:
At Celonis, we believe our people make us who we are and that “The Best Team Wins”. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen.
Your Privacy:
Any information you submit to Celonis as part of your application will be processed in accordance with Celonis’ Accessibility and Candidate Notices
By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process.
Use of Artificial Intelligence Tools
We rely on an artificial intelligence tool to match the information from your resume to the relevant Celonis job descriptions. This processing is limited to the information provided in your resume or in your candidate profile. The tool produces a match score per candidate for a role, suggests preliminary ranking, and provides recommendations.
The tool is only used for support in parts of the job application process, including to facilitate the identification of the relevant Celonis Jobs for candidates and recruiters. All final decisions are made by hiring managers and the Celonis talent acquisition team. Hiring managers and HR specialists use this tool responsibly, are aware of the risk of potential bias, and are equipped to mitigate it.
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