Principal Performance Engineer at Nemetschek

Job description

At Bluebeam, we empower people to advance the way the world is built. We create smart software solutions that make construction sites more efficient, connected, and safe and improve the lives of design and construction professionals everywhere. The Principal Performance Automation Engineer sets the technical direction for load and performance engineering across the product portfolio, ensuring systems are scalable, efficient, and stable at production scale. This role owns the performance testing strategy, architecture, and tooling platform end to end. This includes defining benchmarks and service level objectives, leading deep investigations into complex bottlenecks, and translating results into engineering priorities. What you'll do: • Performance Strategy & Architecture – Define and own the long-term performance testing strategy, reference architecture, and roadmap for the load and performance team, aligning coverage with business and product risk. • Technical Leadership & Mentorship – Lead the technical direction of the team, set coding and testing standards, review designs and code, and mentor performance engineers to raise the bar across the discipline. • Performance Engineering at Scale – Architect and evolve frameworks, harnesses, and environments that simulate realistic production load, including large-scale data generation, distributed execution, and multi-tenant scenarios. • Deep Diagnostics & Optimization – Lead root-cause investigations into complex bottlenecks, memory leaks, contention, and scalability limits, and drive optimizations to closure with development and DevOps teams. • Benchmarks, SLOs & Governance – Establish performance benchmarks, service level objectives, and regression gates; embed automated performance validation into CI/CD pipelines so regressions are caught early and consistently. • Cross-Functional & Executive Influence – Partner with engineering, DevOps, product, and support leadership to define performance goals, present findings to senior stakeholders, and influence architecture, capacity planning, and release decisions. • Tooling & Platform Ownership – Evaluate, select, and own performance testing and observability tooling; build reusable platforms, dashboards, and automation that scale across teams. • Documentation & Reporting – Produce authoritative performance test plans, models, and analyses, and deliver clear, data-driven reports and dashboards that support engineering and business decisions. About you: • 10+ years of experience in performance/automation engineering, software development, or DevOps, including 5+ years focused on load and performance engineering for large-scale or distributed systems. • Bachelor’s or master’s degree in computer science, Engineering, or related field. • Cloud Infrastructure – Deep hands-on experience with AWS services relevant to performance testing, scaling, and monitoring (e.g., EC2, CloudWatch, ELB, Auto Scaling, S3), including cost-aware test environment design. • System Design & Architecture – Expert understanding of distributed systems, application workflows, data stores, caching, queuing, and infrastructure components; able to model and predict system behavior under load and influence architectural decisions. • Programming (Required) – Coding is mandatory for this role. Strong software engineering skills are required to build and maintain k6 test suites, custom-built performance scripts and load generators, data generation, and result-processing tooling (e.g., in JS, TS, Python, C#), with emphasis on maintainable, reusable, reviewable code. • Performance Testing Tools – Expert-level proficiency with industry-standard tools such as k6 for load, stress, and scalability testing. • CI/CD Integration – Proven experience designing and owning performance test integration in pipelines using tools like GitHub Actions, or GitLab CI, including automated gating and trend tracking. • Monitoring, Profiling & Analysis – Advanced skills with observability and profiling platforms such as Grafana, Prometheus, Dynatrace, and OpenSearch to correlate metrics, traces, and logs during investigations. • Capacity Planning & Modeling – Ability to translate load test results into capacity, scalability, and sizing recommendations for production systems. • Result Interpretation & Reporting – Expert at interpreting complex performance data and presenting findings through automated reports and dashboards using tools like Pandas, Grafana, and related visualization or data-processing frameworks. • Technical Leadership – Demonstrated ability to mentor engineers, drive standards and best practices, and lead initiatives across teams without direct authority. • Communication & Influence – Excellent written and verbal communication, strong investigative mindset, and ability to present technical findings and trade-offs to both engineering and executive audiences. • AI Tooling – Practical, day-to-day use of AI assistants (e.g., GitHub Copilot, LLM-based tools) for script development, refactoring, test data creation, log and metric analysis, and report drafting, with sound judgment about verifying results and handling data appropriately. Extra: Cloud platform certifications (AWS, Google Cloud, Azure, etc.). Experience with profiling and APM tooling, chaos or resilience testing, database and query performance tuning, and performance engineering for large-scale SaaS or desktop applications. What we offer • People-focused, entrepreneurial culture with the backing of a stable, global, corporate entity – The Nemetschek Group • Competitive compensation and benefits package • Fully vested 401K right from the day you start • Generous PTO, including sick/mental health & volunteer days • Free & unlimited access to BetterUp Care, a well-being platform • Work-life balance fostered through a culture of diversity, inclusion, and appreciation of individual lifestyle needs • Opportunity for continuous professional development • Free & unlimited access to LinkedIn Learning • Up to $5K annual education reimbursement (after 1 year tenure) Below is our DEIBA (Diversity, Equity, Inclusion, Belonging, and Accessibility) mission statement: Bluebeam is committed to building an inclusive environment in which everyone, regardless of background, has an opportunity to experience a deep sense of belonging. Each of our unique perspectives amplifies our collective power, and by encouraging diverse perspectives in an environment infused with mutual respect, we arrive at better solutions. And when we bring the best version of ourselves to work, we can make our best contributions to the global community of people who build our world. About Bluebeam The construction industry is adopting new technology at a feverish pace. Tablets and cell phones are replacing paper blueprints, drones are surveying jobsites in 3D, and cloud collaboration is changing the way teams work together. Bluebeam plays a crucial role in this transformation. The key to our success is a customer-focused approach to product development: we work with the industry to create solutions for the industry. Today, over 3 million people throughout the world use Bluebeam. In the US, we’re a critical partner for the majority of top AEC firms, and rapidly expanding our presence globally, with offices in Sweden, Germany and the UK. Come design and build your future with us! Bluebeam is proud to be an equal opportunity workplace. We are committed to equal opportunity regardless of race, color, ancestry, religion, gender, gender identity, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status. Base pay offered will depend upon qualifications and other operational considerations. Base pay is one part of Bluebeam’s Total Rewards program, which seeks to compensate and recognize employees for their work. Most sales positions are eligible for commission under the terms of an applicable commission plan, while most non-sales position are eligible for a bonus under the terms of an applicable bonus plan. Additionally, Bluebeam provides best in class benefits, with health and welfare benefits and paid time off. Bluebeam is a growing company with many opportunities. If this role and/or pay range is not an exact fit, we still encourage you to apply. The base pay range for this position is: $129,400 - $177,850

Requirements

Must-haves

Performance Strategy & Architecture – Define and own the long-term performance testing strategy, reference architecture, and roadmap for the load and performance team, aligning coverage with business and product risk.
Technical Leadership & Mentorship – Lead the technical direction of the team, set coding and testing standards, review designs and code, and mentor performance engineers to raise the bar across the discipline.
Deep Diagnostics & Optimization – Lead root-cause investigations into complex bottlenecks, memory leaks, contention, and scalability limits, and drive optimizations to closure with development and DevOps teams.
Tooling & Platform Ownership – Evaluate, select, and own performance testing and observability tooling; build reusable platforms, dashboards, and automation that scale across teams.
Documentation & Reporting – Produce authoritative performance test plans, models, and analyses, and deliver clear, data-driven reports and dashboards that support engineering and business decisions.
10+ years of experience in performance/automation engineering, software development, or DevOps, including 5+ years focused on load and performance engineering for large-scale or distributed systems.
Bachelor’s or master’s degree in computer science, Engineering, or related field.
Cloud Infrastructure – Deep hands-on experience with AWS services relevant to performance testing, scaling, and monitoring (e.g., EC2, CloudWatch, ELB, Auto Scaling, S3), including cost-aware test environment design.
Performance Testing Tools – Expert-level proficiency with industry-standard tools such as k6 for load, stress, and scalability testing.
CI/CD Integration – Proven experience designing and owning performance test integration in pipelines using tools like GitHub Actions, or GitLab CI, including automated gating and trend tracking.
Monitoring, Profiling & Analysis – Advanced skills with observability and profiling platforms such as Grafana, Prometheus, Dynatrace, and OpenSearch to correlate metrics, traces, and logs during investigations.
Capacity Planning & Modeling – Ability to translate load test results into capacity, scalability, and sizing recommendations for production systems.
Technical Leadership – Demonstrated ability to mentor engineers, drive standards and best practices, and lead initiatives across teams without direct authority.
Communication & Influence – Excellent written and verbal communication, strong investigative mindset, and ability to present technical findings and trade-offs to both engineering and executive audiences.

Nice-to-haves

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Keywords to mirror

ci/cdawspythonaillmazureaccessibility

Platform: successfactors
Effort: medium

Benefits

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401k

Pto

Paid Time Off

Professional Development