Staff Software Engineer (Performance)

Druva, the autonomous data security company, puts data security on autopilot with a 100% SaaS, fully managed platform to secure and recover data from all threats. The Druva Data Security Cloud ensures the availability, confidentiality, and fidelity of data - providing customers with autonomous protection, rapid incident response, and guaranteed data recovery. The company is trusted by its more than 6,000 customers, including 65 of the Fortune 500, to defend business data in today’s ever-connected world. Amidst a rapidly evolving security landscape, Druva offers a $10 million Data Resiliency Guarantee ensuring customer data is protected and secured against every cyber threat. Visit druva.com and follow us on LinkedIn, X and Facebook. 

As a Staff Software Engineer (performance engineer), you will be responsible for evaluating the performance of software modules and benchmarking them also contributing to design and architecture as needed. This role requires a strong understanding of product requirements to plan performance engineering tests and develop test data. Additionally, you will mentor and guide junior team members by reviewing their work to maintain quality standards. Strong communication skills are essential, as you will collaborate across teams.

Technical Skills:

• Proficiency in Linux commands and basic shell scripting

• Fundamental coding skills (DS/Algo knowledge is a plus)

• Basic AWS knowledge (EC2, EBS, S3)

Performance Engineering Expertise:

• Understanding of SDLC and when performance engineering should engage at each stage (requirements, design, development, testing, production)

• Load modeling techniques to design effective test scenarios, with or without tools

• Strong analytical skills to interpret performance metrics, identify trends, and detect potential issues

• Experience with performance monitoring tools like Splunk (preferred)

• Ability to develop custom tools using Python or similar languages for load testing and scale simulations

• Setting up monitoring at various levels and developing custom tools for capturing performance data

• Experience in analyzing production data and creating workload models

Deep Technical Expertise:

• Ability to break down system architecture to determine performance testing needs (baseline, scalability, etc.)

• Expertise in end-to-end performance analysis, covering user-level, application tiers, OS kernel, and network layers

• Strong knowledge of at least one runtime (Go, Java, Python), including profiling (CPU, memory, threads)

• Understanding of system profiling tools, including low-level tools for deeper insights

• Experience in Linux/OS performance analysis (CPU, memory management, disk, filesystem, monitoring tools)

• Familiarity with storage, backup, and file systems (a plus)

• Knowledge of Go runtime (preferred)

Good to have Skills:

• Ability to work with development teams to resolve performance issues and fine-tune applications

• Strong communication skills, with the ability to present findings effectively using reports and visualizations

• Experience in documenting performance improvements and publishing whitepapers on key findings