Real, anonymous reports from people who interviewed for Software Engineer at The Depository Trust & Clearing Corporation (Dtcc), newest first and distilled into what to expect across the loop.
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My path started with the usual pre-screening flow, and the technical part quickly became the main event. I remember an assessment that was heavily DSA and SQL based, and it didn’t feel like generic practice problems—it went deep across core concepts. The questions were described broadly from their side, but the difficulty level on the DSA portion was what really made it stand out.
After that, I ended up in a deeper technical loop. This stage felt like it broadened from algorithmic thinking into production-style engineering: there were discussions that connected Unix/Linux fundamentals (log analysis and how to inspect and reason about what’s running) with database work like SQL tuning and data validation. I also got pulled into messaging/middleware territory—topics like Kafka or IBM MQ and how you’d reason about systems beyond just writing code. Observability came up too, including how I’d use tools to catch issues early rather than wait for incidents.
2 months ago
Average Neutral United States
After a recruiter reach-out, I had an online technical interview on Zoom. It was focused on technical questions, and the vibe felt pretty straightforward—just a chance to validate my background and how I’d think through practical problems.
A little later, the process shifted into a coding-and-concepts style discussion. I remember going through Java and OOP ideas, including a question that leaned heavily into object-oriented design. When I moved to the interview at the DTCC office location, the format felt more like a fit check: they mostly wanted to see whether I was actually aligned with the role and could talk through the code and the reasoning clearly. The whole thing stayed relatively quick, around half an hour in one of the loops.
> 1 year
Average Neutral United States
My process felt like a long, multi-round loop that moved through both remote and on-site settings. It started with a call with a client-side team, the…
> 1 year
Difficult Negative United States
I got contacted after applying and was asked to complete a recorded pre-screen. The questions themselves were presented in a way that didn’t always so…
> 1 year
Average Neutral Tampa, FL
After I applied in mid-November 2018, I heard from a recruiter at the end of December to schedule an in-person interview for early January 2019. The d…
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What to expect
Distilled from the reports
Technical Assessment
Candidates can expect a strong focus on data structures, algorithms, and SQL in the initial technical assessment, which is seen as a critical gate to progress in the interview process. The questions are often challenging and require a deep understanding of core concepts rather than surface-level familiarity.
DSASQLAssessment
Technical Loop
The technical interview loop typically involves discussions that cover practical engineering topics, including Unix/Linux fundamentals, messaging systems like Kafka, and observability tools, alongside coding questions that test both theoretical and practical knowledge.
Unix/LinuxKafkaObservability
Interview Format & Structure
The interview process is structured with multiple rounds, often including both remote and on-site interviews, and may involve various interviewers from different teams, which can lead to a thorough but sometimes lengthy experience.
Multi-roundRemoteOn-site
Behavioral & Fit Questions
Candidates should prepare for behavioral questions that focus on their past experiences and alignment with the role, as interviewers often emphasize a fit check alongside technical discussions.
BehavioralFitSTAR
Communication & Coordination
Several candidates noted issues with communication and coordination during the interview process, including delays, vague updates, and a lack of professionalism from some interviewers, which can impact the overall experience.
CommunicationCoordinationProfessionalism
Outcome & Timeline
Candidates reported varying timelines for feedback and outcomes, with some experiencing long waits for results after interviews, and others receiving quick offers, indicating inconsistency in the hiring process.