Designs and automates performance testing for mobile applications using load-testing tools, cloud infrastructure, containers, and CI/CD pipelines. Develops ramped-load, capacity, and spike scenarios; schedules recurring tests; configures alerts and pass/fail thresholds; analyzes results through observability tools; and identifies performance bottlenecks. The role also manages authentication, documentation, client collaboration, environment readiness, project deliverables, and knowledge transfer while mentoring teammates and promoting AI adoption.
At Sparq, we help companies solve the right problems—not just build more technology.
We’re a modern product engineering partner blending strategy, craftsmanship, and speed to help organizations modernize confidently in the age of AI. From data ecosystems to digital products and AI acceleration, we turn complexity into clarity and ideas into impact.
If you’re driven to build what’s next, lead with empathy, and deliver excellence without ego, you’ll feel right at home at Sparq.
C2C is not available
Must be authorized to work in the U.S. without sponsorship
A Day in the Life:
- Design, develop, and automate performance testing solutions for multiple mobile applications, transitioning manual testing processes into unattended, cloud-based execution within UAT environments.
- Build and maintain performance test scripts using tools such as k6, JMeter, Gatling, or Locust, ensuring reliable and repeatable load testing across applications.
- Configure and execute automated performance tests using containers, CI/CD pipelines, and cloud infrastructure, preferably Google Cloud Platform (GCP).
- Develop and implement ramped load, capacity, and spike testing scenarios to evaluate application performance under varying traffic conditions, including peak seasonal demand.
- Establish weekly scheduled performance test runs, automated alerts, and threshold-based pass/fail criteria to support release readiness decisions.
- Monitor, analyze, and trend performance test results, leveraging reporting and observability tools such as Grafana or Datadog to identify bottlenecks, performance degradation, and capacity concerns.
- Implement and maintain token-based authentication within automated test harnesses, supporting secure execution across testing environments.
- Expand performance test coverage by developing new scenarios, including application capacity validation and peak-volume testing.
- Collaborate with engineering and client stakeholders to resolve environment dependencies, coordinate access requirements, and ensure performance testing readiness.
- Create and maintain comprehensive technical documentation, test execution procedures, and operational runbooks to support knowledge transfer and ongoing ownership by client teams.
- Work within an accelerated delivery timeline, quickly assessing existing testing processes and implementing automation improvements to meet project milestones.
What it takes:
- Consultative approach and problem solving skills to successfully align digital solutions with long-term business goals of the client
- Hands-on experience using AI tools to enhance daily work, or a strong desire to do so, including a willingness to experiment, learn, and champion AI adoption within your role
- Claude Certified Developer or Architect highly preferred; possible opportunity to obtain as a Sparq colleague
- Commitment to understanding and exceeding client expectations
- Ability to perform project oversight and execution of deliverables
- Flexibility to adapt within a high-growth organization
- Ability to lead, mentor and motivate those around them
- Hunger for continuous learning and professional development
- Intellectual curiosity to provide creative solutions
- Full understanding of the software development life cycle
- Ability to positively impact fellow colleagues through effective leadership, presentations, coaching, etc.
- Desire to work in a team environment
- Good interpersonal, written and verbal communication skills
Regardless of your specific role, we seek individuals who are excited to explore, adopt, and evangelize AI tools and methodologies. If you have experience in AI or a proven track record of rapidly learning and mentoring others on emerging tech, you’ll fit right in.
Equal Employment Opportunity Policy: Sparq is proud to offer equal employment opportunity without regard to age, color, disability, gender, gender identity, genetic information, marital status, military status, national origin, race, religion, sexual orientation, veteran status, or any other legally protected characteristic.
We are committed to providing equal employment opportunities and believe in an inclusive workplace. If you require reasonable accommodations to participate in the job application or interview process, please let us know by contacting [email protected]
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