Kaiser Permanente Software Engineer candidates report two to three rounds: a recruiter or manager conversation, stack-specific technical questions with coding, and often a panel. Role scope is the most common concern.
$135K
Avg. Base Comp
$160K
Avg. Total Comp
2-3 rounds
Typical Rounds
Not reported
Process Length
Kaiser Permanente software engineer interviews vary by team, but candidates most often describe two or three rounds. Most begin with a recruiter, HR or hiring-manager conversation before moving to technical questions or a panel.
The technical content follows the team's stack. One candidate for a full-stack UI/AEM role was asked about AEM workflows, React hooks, CSS theming, Java microservices and Kubernetes, with a coding piece in each round. Another reported React hooks, state management, backend API coding, an array problem about the max occurring element, and a database query for the maximum salary. A MEAN stack candidate faced scenario-based questions, and a panel candidate got a two-sum style problem. A different candidate was asked about Python, data structures, time complexity and ML implementation. Read the job description closely and prepare for the specific stack the team lists.
Behavioral and fit questions appear alongside the technical ones. Candidates mention questions about background and interests, managing deadlines, and what they would do if asked to act against their values. One offer recipient described meeting a hiring manager, a peer, a panel and regional teams in a conversational process.
The main risk candidates raise is role scope. One was told at the end of a panel that the team wanted solution-architect-level Java backend skills. Another was told by the client that architecture-level experience was required. A third found the day-to-day work was call-center focused. Ask early what level and daily work the team expects, and keep other applications moving, since some candidates report slow or missing follow-up.
Synthesized from 9 candidate reports by our editorial team.
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Synthesized from candidate reports. Individual experiences may vary.
Candidates describe an opening conversation with a recruiter, HR or the hiring manager. One recruiter screen confirmed a computer science degree and three-plus years of experience, while another conversation covered background and interests outside work. A phone screen for a different candidate included Python, data structures and ML concepts. Use this call to confirm level, stack and daily work.
Reports describe one or two technical rounds shaped by the team's stack. Topics include React hooks, state management, AEM workflows, Java microservices, Kubernetes, backend API coding, array problems, a database query for maximum salary, and DSA with ML implementation. A MEAN stack candidate also faced scenario-based questions about approaching a described problem.
Several candidates describe a panel stage. One faced three Kaiser interviewers on UI, AEM and Java, another four members of the US team with a two-sum style problem, and another a hiring manager, peer and leader asking about deadlines and values. A MEAN stack candidate faced a US client panel focused on team-lead decisions. Atmosphere ranged from friendly to tense, so practice explaining your reasoning calmly.
Reported outcomes include accepted or received offers, no offer, and one candidate still waiting. Two candidates were told late that the team wanted a different level of experience than the posting suggested, and others describe long gaps or no feedback. One offer recipient noted that results arrived a long time after the final interview. Follow up politely and confirm timelines with your recruiter.
