u/Evening-Brick-6758

I'm interviewing for a senior role focused on driving adoption of AI coding agents (Copilot, Claude Code) across engineering teams at JPMC. It's an enablement + technical leadership role, not a pure SRE role, but one of the core responsibilities is "testing & resiliency leadership: chaos engineering, fault injection, CI/CD, ensuring fault-tolerant solutions," and there's a heavy "quality, security, compliance, operational excellence" theme.
First round (with an ED) was strategy + system design. The second round (1 hour) is with a VP of SRE.
My background is full-stack + applied AI — I've built and operated real systems (a live trading bot, ML platforms) but I'm not a career SRE. I build and operate; I haven't run formal SRE practice at enterprise scale.
For people who've interviewed with SRE leaders, especially at regulated orgs:
When the role is adoption/enablement but the interviewer is SRE, what do they actually focus on — reliability judgment, or deep SRE theory?

For AI/LLM systems specifically, did they probe reliability of non-deterministic systems, resiliency (chaos/fault injection), testing strategy, incident response?

How much weight on classic SRE canon (SLO/SLI, error budgets, golden signals) vs. how you reason in practice?

Anything AWS/Bedrock-specific?

I'm interviewing for a senior role focused on driving adoption of AI coding agents (Copilot, Claude Code) across engineering teams at JPMC. It's an enablement + technical leadership role, not a pure SRE role, but one of the core responsibilities is "testing & resiliency leadership: chaos engineering, fault injection, CI/CD, ensuring fault-tolerant solutions," and there's a heavy "quality, security, compliance, operational excellence" theme.
First round (with an ED) was strategy + system design. The second round (1 hour) is with a VP of SRE.
My background is full-stack + applied AI — I've built and operated real systems (a live trading bot, ML platforms) but I'm not a career SRE. I build and operate; I haven't run formal SRE practice at enterprise scale.
For people who've interviewed with SRE leaders, especially at regulated orgs:
When the role is adoption/enablement but the interviewer is SRE, what do they actually focus on — reliability judgment, or deep SRE theory?

For AI/LLM systems specifically, did they probe reliability of non-deterministic systems, resiliency (chaos/fault injection), testing strategy, incident response?

How much weight on classic SRE canon (SLO/SLI, error budgets, golden signals) vs. how you reason in practice?

Anything AWS/Bedrock-specific?

Hi all,
I have an interview scheduled for next Monday at JPMC for a Senior Lead Software Engineer role focused on Agentic Software Development Lifecycle and AI Engineering within the Commercial and Investment Bank’s Market Tech portfolio.
The role is around driving adoption of AI coding assistants like Claude Code and GitHub Copilot, technical enablement, resiliency engineering, and ADLC transformation across engineering teams.
The conversation is with an Executive Director and is scheduled for 45 minutes.
If anyone has recently interviewed for a similar role at JPMC (Senior Lead, Lead Engineer, AI Engineering, or any Market Tech position), I would really appreciate hearing about:
1. The structure of the interview and what kinds of questions came up
2. How technical vs strategic the conversation leaned, especially for ED level
3. Any system design or architecture questions you were asked
4. How they evaluated AI and agentic tooling depth versus traditional software engineering fundamentals
5. Anything you wish you had prepared more for
Any signal helps. Thanks in advance.

Hi all,
I have an interview scheduled for next Monday at JPMorgan Chase for a Senior Lead Software Engineer role focused on Agentic Software Development Lifecycle and AI Engineering within the Commercial and Investment Bank’s Market Tech portfolio.
The role is around driving adoption of AI coding assistants like Claude Code and GitHub Copilot, technical enablement, resiliency engineering, and ADLC transformation across engineering teams.
The conversation is scheduled for 45 minutes.
If anyone has recently interviewed for a similar role at JPMC (Senior Lead, Lead Engineer, AI Engineering, or any Market Tech position), I would really appreciate hearing about:
1. The structure of the interview and what kinds of questions came up
2. How technical vs strategic the conversation leaned, especially for ED level
3. Any system design or architecture questions you were asked
4. How they evaluated AI and agentic tooling depth versus traditional software engineering fundamentals
5. Anything you wish you had prepared more for
Happy to chat over DM if you would rather not share publicly. Any signal helps. Thanks in advance.

Hi all,
I have an interview scheduled for next Monday at JPMorgan Chase for a Senior Lead Software Engineer role focused on Agentic Software Development Lifecycle and AI Engineering within the Commercial and Investment Bank’s Market Tech portfolio.
The role is around driving adoption of AI coding assistants like Claude Code and GitHub Copilot, technical enablement, resiliency engineering, and ADLC transformation across engineering teams.
The conversation is with an Executive Director and is scheduled for 45 minutes.
If anyone has recently interviewed for a similar role at JPMC (Senior Lead, Lead Engineer, AI Engineering, or any Market Tech position), I would really appreciate hearing about:
1. The structure of the interview and what kinds of questions came up
2. How technical vs strategic the conversation leaned, especially for ED level
3. Any system design or architecture questions you were asked
4. How they evaluated AI and agentic tooling depth versus traditional software engineering fundamentals
5. Anything you wish you had prepared more for
Happy to chat over DM if you would rather not share publicly. Any signal helps. Thanks in advance.

Hi all,
I have an interview scheduled for next Monday at JPMorgan Chase for a Senior Lead Software Engineer role focused on Agentic Software Development Lifecycle and AI Engineering within the Commercial and Investment Bank’s Market Tech portfolio.
The role is around driving adoption of AI coding assistants like Claude Code and GitHub Copilot, technical enablement, resiliency engineering, and ADLC transformation across engineering teams.
The conversation is with an Executive Director and is scheduled for 45 minutes.
If anyone has recently interviewed for a similar role at JPMC (Senior Lead, Lead Engineer, AI Engineering, or any Market Tech position), I would really appreciate hearing about:
1. The structure of the interview and what kinds of questions came up
2. How technical vs strategic the conversation leaned, especially for ED level
3. Any system design or architecture questions you were asked
4. How they evaluated AI and agentic tooling depth versus traditional software engineering fundamentals
5. Anything you wish you had prepared more for
Happy to chat over DM if you would rather not share publicly. Any signal helps. Thanks in advance.