
Candidates describe Abbott software engineer interviews as a recruiter screen, a hiring manager conversation, then technical and behavioral rounds. Expect STAR stories, OOP and SQL fundamentals, and some reports of slow follow-up.
$105K
Avg. Base Comp
$131K
Avg. Total Comp
2-6 rounds
Typical Rounds
Not reported
Process Length
Candidates who interviewed for Abbott software engineer roles describe a process that leans on behavioral stories at least as much as on coding. Several accounts begin with a recruiter or HR phone screen, followed by a hiring manager conversation, then interviews with team members or a panel. One candidate who accepted an offer reported a recorded video step with two behavioral questions, followed by video calls and an in-person site visit with back-to-back interviews.
On the technical side, the questions reported are mostly fundamentals. One candidate was asked about object-oriented programming, deep versus shallow copy, dependency injection and databases, and was given code to review and fix, plus a one-hour online assessment with two algorithmic problems. Another candidate reported a Java and microservices-focused technical round covering SQL, Spring Boot and building an API that returns database records. A third described a technical panel as fairly basic engineering concepts rather than heavy algorithms. Reports differ, so prepare fundamentals broadly rather than betting on one format.
One candidate said the same question came up across multiple interviewers: how Agile and Waterfall work in a regulated environment. Abbott's healthcare setting, and one candidate's question about medical device experience, suggest it is worth having a compliance-versus-speed example ready.
Several candidates also reported slow or unclear communication, including missed screening calls and weeks of silence after onsite interviews. Plan to follow up politely and keep applying elsewhere while you wait.
Synthesized from 19 candidate reports by our editorial team.
Had an interview recently?
Share your experience. Unlock the full guide.
Real interview reports from people who went through the Abbott process.
I went through Abbott's interview process over a few weeks, and it was pretty variable across rounds. The first stage was a phone screening, which moved quickly into an in-person panel interview with three engineers. That panel was a mix of behavioral and technical questions — they asked me about a time I'd faced difficulties working with a team member and how I navigated it, which felt like a fairly standard behavioral prompt. The technical side was surprisingly straightforward; they focused on basic engineering concepts rather than hammering me on algorithmic problems or deep system design.
After the technical rounds, there was an HR final round that felt like a formality, and then I received a verbal offer. If you're prepping for Abbott, be ready for both behavioral storytelling and technical depth, but don't expect a hyper-focused algorithm-heavy gauntlet.
Prep tip from this candidate
Be prepared to discuss team conflict and communication skills in depth—behavioral questions are core to their process. Also brush up on Linux debugging and networking basics, as those came up in technical rounds, especially for more senior-level roles.
Share your own interview experience to unlock all reports, or subscribe for full access.
Sourced from candidate reports and verified by our team.
Topics based on recent interview experiences.
Featured question at Abbott
Describing a data project and its challenges
| Question | |
|---|---|
| Slow SQL Query | |
| Client Solution Pushback | |
| Testing Constraints | |
| Stakeholder Communication | |
| Your Strengths and Weaknesses | |
| Presentations and Insights | |
| Meta in an Emerging Market | |
| 2nd Highest Salary | |
| Merge Sorted Lists | |
| Duplicate Rows | |
| P-value to a Layman | |
| Decision Tree Evaluation | |
| Duplicate Product Names | |
| Target Indices | |
| 85% vs 82% | |
| DDoS Attack Response | |
| String Palindromes | |
| Pipeline Transformation Failures | |
| Distributed Authentication Model | |
| Why Do You Want to Work With Us | |
| Marketing Workflow Optimization | |
| Azure Kubernetes Infrastructure | |
| Employee Salaries | |
| Empty Neighborhoods | |
| Top Three Salaries | |
| Closest SAT Scores | |
| Subscription Overlap | |
| Monthly Customer Report | |
| Top 5 Turnover Risk |
Synthesized from candidate reports. Individual experiences may vary.
Candidates report a first call with a recruiter or HR focused on work history, motivation and skills. Some describe it as casual and conversational, and one said it ran close to an hour. A few candidates also report that scheduling at this stage was unreliable, so confirm times in writing.
Several candidates report a video or phone conversation with the hiring manager that mixes behavioral questions with role-specific technical discussion. Reports mention walking through past projects and how you prioritize your work. Have specific examples from your CV ready, since candidates say interviewers wanted concrete evidence.
Technical content varies by team in candidate reports. Examples include OOP, SQL and database questions, deep versus shallow copy, dependency injection, reviewing and fixing code, pseudocode, and a Java and microservices round. One candidate also reported a one-hour online coding test with two algorithmic problems. Practice explaining basics simply and working through code without relying on tooling.
Candidates report panels or onsite visits with engineers, managers and sometimes directors, with STAR-style questions on conflict, challenges and competing stakeholders. One candidate who accepted an offer described a site visit with back-to-back interviews. Another described a roughly 20-30 minute onsite format. Prepare several detailed stories and questions to ask.
Outcomes in the reports include offers and rejections. Several candidates describe slow or inconsistent follow-up, such as weeks without updates or an automated rejection. Another reports an offer arriving after an HR final round. Timing differs widely across candidates, so follow up proactively and avoid assuming silence signals either outcome.