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Celonis

Software Engineer

Posted An Hour Ago
Remote or Hybrid
Hiring Remotely in Massachusetts, USA
134K-158K Annually
Mid level
Remote or Hybrid
Hiring Remotely in Massachusetts, USA
134K-158K Annually
Mid level
Build and scale backend product features and cloud services supporting distributed systems, AI agent workflows, high-performance APIs, and large-scale data processing. Responsibilities include designing reliable, fault-tolerant, highly available services; developing tool-calling APIs, workflow orchestration, observability, and production guardrails; meeting service-level commitments; and collaborating through code reviews and knowledge sharing.
The summary above was generated by AI

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:

The Feature Team is at the forefront of building and scaling enterprise-grade AI and machine learning capabilities that power complex, data-driven decisions. Working with massive datasets and supporting hundreds of enterprise customers, our engineers tackle challenging problems in distributed computing, high-performance APIs, and large-scale data processing. The team plays a critical role in transforming sophisticated AI/ML technologies into reliable, scalable product capabilities that deliver real business impact.

The Role:

Build and scale backend product features and cloud-based services. You will contribute to distributed systems, performance, reliability, and the operational readiness of internal and user facing platform services.

The work you’ll do:

  • Design and develop product features aligned with the product and engineering roadmap.
  • Build platform capabilities that enable AI agentic workflows, such as tool-calling APIs, workflow orchestration, and the observability and guardrails needed for agents in production.
  • Scale APIs and workflows grounded in contemporary principles in scalable and robust distributed systems. .
  • Design with fault-tolerance, high-availability, performance, and scalability in mind.
  • Ensure platform services are operationally ready and meet customer service-level commitments.
  • Collaborate with teammates and contribute to code reviews and knowledge sharing.

The qualifications you need:

  • 3+ years of industry experience building distributed systems, cloud-based API services, or enterprise cloud data platforms.
  • Strong computer science fundamentals and proficiency in Python.
  • Experience developing reliable, enterprise-grade software or services.
  • Experience with SQL and databases such as PostgreSQL, DynamoDB, or Amazon RDS.
  • Preferred experience with distributed computing frameworks for machine learning workloads; familiarity with Ray is a plus.
  • Ability to collaborate in a team and mentor engineers through the SDLC.
  • Familiarity with data warehouse or data lake architecture and large-scale data processing.

Visa sponsorship is not offered for this role.

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 Massachusetts, based on a Full Time Schedule.
$134,000—$158,000 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.

Please be aware of common job offer scams, impersonators and frauds. Learn more here.

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