Lakshya

IT Infrastructure

Production Management / NOC & ITSM

Infrastructure · monitoring 34%, ITIL 15%

Where availability is actually owned. The archetype most misread as ticket-pushing, and the one with the clearest path into SRE.

Production management owns whether services are up and whether change is safe. In enterprise and GCC estates this is a large, structured discipline — incident, problem and change management, a NOC, and the reporting that tells executives whether last month was good.

It is also the most common route into SRE for people who did not start as developers, and the difference between a career that plateaus and one that does not is almost entirely whether you learn to write code.

TimeWhat you are actually doing
07:00Handover from the previous shift. What is still open, what was deferred, and what the incoming risk is.
09:00A P2. Coordinating three teams who each think it is someone else's component, which is the actual skill — the technical diagnosis is usually theirs, the sequencing is yours.
11:00CAB. Reviewing changes for the week: what is high risk, what conflicts, what has no rollback plan and therefore is not approved.
14:00Problem management. The same incident has occurred four times; somebody has to own finding out why rather than restoring service again.
16:00Reporting. Availability against SLA, incident trends, and the top three causes — which is the artefact that gets platform investment funded.

The decisive round

“The same incident keeps recurring. What do you do?”

Interviewer: “A service has had the same outage four times in two months. Each time it was restored within the SLA. What is your response?”

A weak answer. “I'd raise a problem record, work with the technical team to find the root cause, and track it through to permanent resolution.” Correct process, and it is the answer that describes the ITIL textbook rather than what actually gets it fixed. It also does not acknowledge why it has not been fixed in two months.

A strong answer. “Four times in two months while meeting SLA is the important detail, because it means the current incentives are working exactly as designed — we are being measured on restoration and we are restoring well, so nothing forces a fix. That is the thing to change.

Practically: I would quantify it rather than describe it. Four incidents, the engineering hours consumed each time, the customer impact, and the cumulative cost against the estimated cost of the permanent fix. That comparison is usually stark and it is what moves a backlog item that has been deprioritised four times.

Then I would find out why it has not been fixed, because in my experience it is rarely that nobody knows the cause. Usually the fix belongs to a team with different priorities, or it requires a change to something nobody owns, or the workaround is cheap enough that it never reaches the top of a queue. Those are three different problems with three different escalations.

I would also stop the automatic restore from being invisible. If a runbook silently fixes it at 3am, the organisation never feels the cost. I would make the recurrence visible in the monthly report as its own line rather than as four separate incidents that each closed green.

And in the meantime I would improve detection and reduce the restore time, because those are mine to control — but I would be explicit that this is mitigation, not resolution, so nobody mistakes the improved numbers for the problem going away.”

Recognising that meeting SLA is why it has not been fixed, quantifying rather than escalating, and separating mitigation from resolution honestly.

  • Learn to write code, seriously. This is the single highest-return decision in this archetype. Automating one recurring manual task changes how you are seen and is the bridge to SRE.
  • Have a problem-management win — a recurring incident you got permanently fixed, with the before and after count.
  • Know your numbers: availability, MTTR, change failure rate, and what you did that moved one.
  • Have a bad change story — one that went wrong, and what you changed in the process rather than in the person.

Compensation

MarketBandNotes
United States$85k – $160kThe lowest band in the atlas; SRE transition is the main uplift
India₹6L – ₹28L totalVery large market, especially in managed services and GCC operations
Both—Automation skills roughly double the ceiling. This is the clearest example in the atlas of code as a career lever

The book for this field

Networks, Automation, Connectivity & Data Centres

Twelve chapters from a single packet to a submarine cable. Subnetting worked by hand, BGP and why hijacks succeed, DNS and the two outages worth knowing by name, TLS and the expiry that still takes down companies, cloud networking with the arithmetic, transit and peering, colocation and what an AI rack did to the industry, and four debugging scenarios worked end to end.

CHAPTER 12Diagnosing a network problem, with four worked scenariosA ladder that bisects the stack, the eight commands that settle each rung, and four real problems worked end to end.READ THE CHAPTER →CHAPTER 5DNS, properlyA distributed cache with no invalidation, holding up the entire internet. Two of the largest outages in history were DNS.READ THE CHAPTER →CHAPTER 7Load balancing, proxies and the edgeWhere traffic gets shaped, and where a bad health check turns a small problem into a total outage.READ THE CHAPTER →

All 18 chapters in Networks, Automation, Connectivity & Data Centres →

Also read for this role

Infrastructure & Reliability

Reliability and error budgets, capacity arithmetic, networks, storage and the restore you have not tested, the physical layer, a debugging method that transfers, running production, and an honest look at Kubernetes. Plus a Middleware section — web and application servers, messaging (IBM MQ, Kafka) and managed file transfer, from basics to licensing and cost.

CHAPTER 16AI in observability, honestlyWhat works and why, the benchmark that bounds root-cause claims, and the longitudinal number that went the wrong way.READ THE CHAPTER →CHAPTER 13The observability tool landscapeWhat each product is genuinely for, what it is genuinely bad at, and the licence and pricing history that explains why the market looks like this.READ THE CHAPTER →CHAPTER 7Running productionChange, incidents and toil. The three things that consume an operations team, and what to do about each.READ THE CHAPTER →

All 33 chapters in Infrastructure & Reliability →

Cross-cutting

Skills every archetype tests

These are shared across every field on this site — the same question asked in different vocabulary — so preparation here compounds rather than being spent once. The book above is specific to your field.

Failure and incident narrativeEvery archetype asks for this story. The outage is the setting; the decisions are the content.READ THE CHAPTER →Measuring what resists measurementTested in every field on this site under a different name — evals, SLOs, DORA, ablations. Named in 59% of AI and 42% of platform postings, and almost nobody studies it deliberately.READ THE CHAPTER →The controlOne habit separates strong candidates from plausible ones more reliably than any technical depth.READ THE CHAPTER →

Practice the 8 IT Infra questions →  ·  Back to IT Infrastructure →