Deloitte's Product Engineering team needs to deliver innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. This role will contribute to modernizing software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes and leverages a progressive and responsive talent structure.
Requirements
- Exposure to and basic experience with one or more of the following technologies: LoadRunner, JMeter, Gatling, and K6.
- Exposure to one or more of the following: Dynatrace, Datadog, PerfMon, and Cloud Monitoring.
- Basic understanding of cloud hyper-scalers such as Azure, AWS, or GCP.
- Basic understanding of methodologies & tools such as XP, Lean, Azure DevOps, or GitHub to deliver high-quality products rapidly.
Responsibilities
- Develop performance engineering solutions (e.g., performance test plans, load and stress testing, performance tuning, root cause analysis, etc.) that solve complex problems with valuable outcomes to meet customer needs and business impact KPIs.
- Actively advocate the importance of product performance, ensuring performance SLAs are at the forefront of every discussion and during every sprint with a focus on appropriateness, feasibility, and alignment with business and customer goals, NFRs, and applicable performance engineering standards.
- Maintain accountability for the integrity of performance test design and automation, data setup, their ongoing maintenance and scale, as well as the performance feasibility of solutions.
- Be hands-on, self-driven, and continuously learn new approaches, tools, techniques, and frameworks.
- Solve complex problems by employing various engineering techniques such as in-sprint performance testing, identify bottlenecks, root causes, and optimizations, adhering to defined standards and SLAs while evolving those as necessary.
- Develop lean performance engineering solutions through rapid, inexpensive experimentation to solve customer needs.
- Develop expertise in modern performance engineering practices and principles, including Agile methodologies and DevSecOps to deliver daily product deployments using techniques such as fully automated in-sprint performance testing to accept the stories and work products throughout the SDLC lifecycle.
Other
- A bachelor’s degree in computer science, software engineering, or a related discipline with a graduation date between May 2025 - December 2025.
- Excellent interpersonal and organizational skills, with the ability to handle diverse situations and changing priorities, behaving with passion, empathy, and care.
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
- Dependable team player, willing to learn quickly, and collaborating with cross-functional teams.
- Quickly acquire domain-specific knowledge relevant to the business or product.
