Software Diagnostics & Performance Test Engineer

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What you will do

• •Investigate complex and ambiguous software failures and performance problems.
• •Perform deep root-cause analysis across application, system, network, database, and infrastructure layers.
• •Analyze application logs, system logs, stack traces, thread dumps, heap dumps, metrics, traces, and profiling data.
• •Analyze network traffic and protocols to identify latency, connectivity, retransmission, timeout, and communication issues.
• •Investigate issues that occur only under specific workloads, concurrency levels, configurations, environments, or long-running conditions.
• •Understand product architecture and critical customer workflows deeply enough to reason about failure modes.
• •Learn the product in depth, including core workflows, customer usage patterns, deployment models, and performance-sensitive areas.
• •Design experiments to isolate variables and prove or disprove hypotheses.
• •Develop diagnostic scripts, instrumentation, and small tools when necessary to accelerate investigations.
• •Perform exploratory testing and deliberately challenge system assumptions to discover weaknesses and failure modes.
• •Investigate performance degradation, scalability limitations, resource exhaustion, latency spikes, and throughput bottlenecks.
• •Create meaningful Performance Test Cases based on product architecture, customer workflows, expected load patterns, scalability goals, and known risk areas.
• •Review Performance Test Cases created by other engineers to ensure coverage, clarity, workload relevance, data validity, and alignment with product behavior.
• •Execute Performance Test Cases, analyze results, identify bottlenecks or regressions, and communicate findings with clear evidence and recommended actions.
• •Correlate evidence across multiple components of distributed systems.
• •Work with developers to identify the actual root cause rather than simply identifying the component where the symptom appeared.
• •Clearly communicate technical findings, evidence, root cause, impact, and recommended corrective actions.
• •Build and maintain diagnostic knowledge, troubleshooting methodologies, and internal technical documentation.
• •Mentor other engineers in systematic debugging and root-cause analysis.

Must-have qualifications

1. Technical

• •5+ years of software engineering, performance engineering, systems engineering, reliability engineering, production troubleshooting, or a closely related discipline, preferably in a product-based software company.
• •Programming/debugging ability in at least one major language such as Java, C++, C#, Python , etc.
• •Strong ability to read and understand unfamiliar application code.
• •Demonstrated experience troubleshooting complex software problems.
• •Strong understanding of operating-system concepts: processes, threads, memory, CPU, file I/O, sockets, synchronization, resource utilization
• •Strong understanding of networking fundamentals: TCP/IP, HTTP/HTTPS, DNS, connection management, latency, timeouts, retransmissions
• •Experience analyzing logs and traces across multiple components.
• •Experience with application profiling and/or performance analysis.
• •Hands-on experience creating, reviewing, and executing Performance Test Cases for complex software products.
• •Experience diagnosing concurrency, latency, resource contention, or scalability issues.
• •Ability to interpret performance test results, compare them with baselines, identify regressions, and connect findings back to product behavior or code-level causes.
• •Ability to formulate hypotheses and systematically validate them with evidence.

2. Behavioral

• •Exceptional curiosity about how software systems work.
• •Strong interest in learning the product deeply rather than treating testing as a black-box activity.
• •Strong analytical and problem-solving skills.
• •Comfortable working with incomplete or ambiguous information.
• •Willingness to challenge assumptions.
• •Persistence when the first explanation isn't the real root cause.
• •Ability to communicate complex technical findings clearly.
• •Comfortable collaborating with developers without simply handing problems back to them.
• •Strong ownership of difficult investigations

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