Performance Engineer
Posted Jul 13, 2026 · We last checked this listing on Sep 20, 2026
Likely interview questions for this role
Written from this job description, not a generic list. Each one notes what the interviewer is really checking.
Behavioral
Walk me through a time you shaved latency out of a system. What was the bottleneck, how did you find it, and how much did you improve it by?
whether they have hands-on experience with real low-latency optimization work, not just theory
Tell me about a time your performance analysis using statistics led you to a conclusion that turned out to be wrong. What did you miss?
intellectual honesty and understanding of statistical pitfalls like noise, outliers, and small sample sizes
Describe a project where you had to work closely with traders or quants who didn't have a deep technical background. How did you bridge that gap?
collaboration and communication skills across disciplines, which the posting explicitly emphasizes
Tell me about a time you had to convince a team to make a costly infrastructure change based on your performance data. Did they push back, and what happened?
ability to turn data into influence and handle skepticism from stakeholders
Technical
How would you profile a trading engine to figure out where the time is going, from wire to order sent?
depth of knowledge in end-to-end latency measurement across hardware and software layers
Tell me about the difference between throughput and latency optimization and a case where improving one hurt the other.
whether the candidate understands tradeoffs instead of chasing a single metric blindly
What's your experience tuning the operating system or kernel for low latency work, things like CPU isolation, interrupt affinity, or NUMA?
concrete, specific systems-level tuning experience beyond generic performance talk
How do you approach writing performant C++ or Python, and what are some common patterns you avoid because they cost you in the hot path?
real coding depth around performance-sensitive language features, not just familiarity with syntax
If you had to reduce time-to-order by even a microsecond, where would you look first in a typical trading system architecture?
structured thinking about where latency actually accumulates in a real trading stack
What statistical tools or experimental design methods have you used to separate real performance signal from noise in a live production environment?
practical familiarity with experimental rigor as opposed to ad hoc benchmarking
Situational
Suppose you get a new NIC or server to evaluate. How would you design a benchmark to decide if it's worth deploying at an exchange colo?
ability to design rigorous, statistically sound hardware evaluation methodology
Say a trading strategy team tells you their fills got worse after a network change you approved. How do you investigate and what do you tell them?
how they handle ambiguous cross-team problems and communicate under pressure with non-engineers
Markets move fast and exchange behavior changes. How would you go about analyzing a new or unfamiliar exchange protocol to find where we're losing competitiveness?
comfort with ambiguity and self-directed technical investigation in a domain unique to trading
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As published by Akuna Capital.
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