Dynatrace

HQ
Boston
Total Offices: 4
5,600 Total Employees
Year Founded: 2005

Dynatrace Offices

Dynatrace is headquartered in Boston and has 4 office locations.

Hybrid Workplace

Employees engage in a combination of remote and on-site work.

Majority of roles are hybrid with flexibility. Please speak with our recruiting team for specific details on hybrid work.

Typical time on-site: 2 days a week

U.S. Office Locations

HQ
Boston

Global Headquarters

Our Boston office is located in the heart of downtown in Atlantic Wharf—just steps from the waterfront, public transit, and some of the city's top dining spots. Thoughtfully designed for collaboration, our space boasts vibrant work areas, modern amenities, and breathtaking harbor views.

Denver

1900 16th Street Mall, Denver, CO, United States, 80202

Detroit

1000 Woodward Ave, Suite 1500, Detroit, MI, United States, 48226

Mountain View

401 Castro St , Mountain View, CA, United States, 94041

Recently posted jobs

2 Hours AgoSaved
Remote or Hybrid
Charlotte, NC, USA
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Provides technical sales support for strategic accounts by delivering product demonstrations, managing proof-of-concepts, leading solution evaluations, advising on cloud architecture, completing RFIs and RFPs, and presenting to executives. Partners with sales teams, customers, channel partners, product management, and services organizations to identify opportunities, communicate technical value, troubleshoot issues, and promote Dynatrace observability solutions. Travel of up to 30% is required.
14 Days AgoSaved
Remote or Hybrid
United States
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Lead enterprise data architecture across warehouses, data lakes, downstream applications, and AI workloads. Design data models, Medallion Architecture, ELT standards, semantic layers, APIs, access controls, and reusable datasets. Partner with business and BI teams to drive adoption, conduct architecture reviews, establish platform standards, and mentor data and analytics engineers. The role requires deep Snowflake, dbt, data modeling, pipeline, and semantic-layer expertise, with experience in AI data patterns and cloud infrastructure preferred.
One Month AgoSaved
Remote or Hybrid
United States
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Develop low-level, high-performance instrumentation within CICS and z/OS using HLASM. Design production features for mission-critical mainframe environments, diagnose complex system behavior through dumps and traces, analyze performance bottlenecks, and collaborate with an experienced engineering team. The role requires deep z/OS and CICS internals expertise, systems programming knowledge, and proficiency with JCL, SDSF, and USS.