Private corporate batches delivered onsite across Hyderabad, or live online in IST (UTC+5:30) — taught by a practitioner who runs DevOps in production.
20 years across DevOps, SRE and Security · 10,000+ engineers trained · Trained teams at JPMorgan Chase, Verizon, Nokia and the World Bank
Principal DevOps Engineer & Architect
Rajesh teaches DevOps for validated and regulated estates: risk-based classification of changes, traceability from requirement through commit and build to test evidence and approval, pipelines whose configuration is itself version-controlled and change-managed, environments rebuilt from code with recorded parameters, and access and approval records that satisfy segregation of duties. Hyderabad batches run onsite in IST or live online, and every control is demonstrated on a working pipeline rather than described in the abstract.
Twenty years across DevOps, SRE and Security, in principal and architect roles at PayPay, SoftwareAG, ServiceNow, JDA Software, Intuit, Adobe and others. He has trained engineers at JPMorgan Chase, Verizon, Nokia, the World Bank, VMware, Oracle, Mercedes-Benz and Airbus — more than 10,000 people personally. He teaches what he runs, not what he reads.
You are booked with a named engineer, and that is who turns up. Marketplaces and larger providers rotate whoever is free, so the person who sold you the agenda is rarely the person teaching it.
The same trainer is available for the next engagement, which matters when a team builds on what it learned last time.
Your batch is assigned a named trainer before it starts, and that is who teaches it. See the full faculty.
Engagements are matched on the tool, not the calendar. For DevOps that means a trainer who has run it in production — continuous delivery inside validated and regulated estates — qualified pipelines, traceable releases and two delivery speeds in one organisation — rather than whoever is free that week. You are told who is teaching before you commit, and that person is on the discovery call that shapes the agenda.
Where a batch is large enough to need a second trainer, the pairing is declared up front. The lead trainer stays accountable for the syllabus and the assessment either way.
Principal DevOps Engineer & Architect
Twenty years across DevOps, SRE and Security in principal and architect roles at PayPay, SoftwareAG, ServiceNow, JDA Software, Intuit, Adobe, IBM/Emptoris, Ness, MindTree and Accenture. He has trained more than 10,000 engineers personally, at organisations including JPMorgan Chase, Verizon, Nokia, the World Bank, VMware, Oracle, Mercedes-Benz and Airbus. He teaches what he runs, not what he reads.
Teams of 8–30
Custom agenda, your timezone, onsite or online, NDA-friendly.
Request a quoteIndividual engineers
A private instructor and a curriculum built around your goal.
₹99,999Individuals who want peers
Scheduled batch, max 8 to 10 hours of live instruction.
₹34,999A private batch starts with a discovery call. We look at the stack you actually run — the CI system, the cloud, the constraints — and map the agenda onto it, so examples use your topology rather than a generic one.
Onsite delivery in Hyderabad runs at your own office, with HITEC City, Madhapur, Gachibowli, Kondapur, the Financial District at Nanakramguda, Kokapet and the Uppal and Pocharam corridor covering most engagements; travel within the city is included in the quote and outstation travel is itemised separately. You provide the room, network access and a screen, and the trainer brings the lab, materials, assessment and certificates. Live online delivery runs in IST (UTC+5:30) and suits teams split across two office locations. Batches run 8 to 30 engineers and are often scheduled as two blocks around a change window or a validation cycle, with quality or compliance representatives invited to the traceability and approvals modules. Quotes are issued in INR with GST applied and purchase orders supported.
Every attendee leaves with recordings, slides, lab repositories and a completion certificate. You receive an attendance and assessment report. Invoicing supports PO and GST.
Talk to us about a private DevOps batchDevOps is the practice of collapsing the distance between writing a change and running it in production, with the same team accountable for both. Hyderabad puts an unusual test on that idea, because a large share of the engineering here happens inside estates where a change is not merely deployed — it is qualified, approved and recorded before it counts as done.
Life-sciences and healthcare technology, clinical and pharmaceutical systems, insurance and banking platforms, and large product-engineering centres all operate under regimes where the tooling itself is subject to control. A pipeline is not just infrastructure; it is a system whose configuration may need to be versioned, whose changes may need approval, and whose outputs may serve as evidence that a release was tested and authorised by the right people.
That does not make continuous delivery impossible — it makes it a design problem. Risk-based thinking decides how much control each change needs. Automated tests become validation evidence rather than a developer convenience. Approvals are recorded by the system performing the change instead of in a spreadsheet. And most Hyderabad organisations run two delivery speeds simultaneously: regulated systems moving deliberately, and product or analytics teams next door shipping several times a week. The skill in demand is running both without letting either contaminate the other.
Hyderabad's growth has been concentrated in exactly the sectors where evidence matters. Pharmaceutical and life-sciences technology, clinical data platforms, medical devices and healthcare payers, alongside insurance, banking operations and very large product-engineering centres that own critical systems end to end rather than supporting them from a distance.
Those organisations are being pushed in two directions at once. Business pressure demands faster release cycles and modern cloud infrastructure. Quality and compliance obligations demand traceability, controlled change and demonstrable testing. Historically the response was to slow everything down; increasingly it is to automate the evidence instead, which needs engineers who understand both halves.
That combination is genuinely rare in the hiring market. Plenty of engineers can build a pipeline; far fewer can build one whose configuration is under change control, whose test results function as validation evidence, whose approvals satisfy segregation of duties, and which still delivers weekly. Hyderabad employers are competing hard for that profile, and it is the reason most private batches booked here ask for the same thing: keep the speed, produce the evidence.
Deciding how much control a change actually needs. Scoping which systems and changes are subject to control, risk classification, proportionate evidence, and where automation reduces risk rather than adding it.
Topics: Scoping which systems fall under control · Risk classification of change types · Proportionate evidence and effort · Where automation lowers risk · Common misreadings that slow teams unnecessarily · Building agreement with quality and compliance stakeholders
Linking the chain that an inspection follows. Requirement and issue identifiers carried into commits, build metadata, test results attached to a build, approval records, and reconstructing the full history of one shipped release.
Topics: Requirement and issue identifiers in commits · Build metadata and immutable identifiers · Attaching test results to a build · Approval records tied to an artefact · Reconstructing history for a released version · Where traceability chains usually break
When the tooling itself is in scope. Pipeline definitions as versioned code, reviewed changes to the pipeline, controlled upgrades of build tooling, and recording which pipeline version produced a given release.
Topics: Pipeline as versioned, reviewed code · Controlled upgrades of build tooling and agents · Recording the pipeline version per release · Qualification of tooling changes · Rollback of a pipeline change · Separating pipeline changes from application changes
Making test automation count for something beyond developer confidence. Test design mapped to requirements, results stored durably in a tamper-evident form, data integrity expectations, handling failures honestly, and retention across a product lifetime.
Topics: Mapping tests to requirements and risks · Durable, tamper-evident storage of results · Data integrity expectations for records · Handling and recording test failures honestly · Retention across a product lifetime · Reporting coverage without misleading anyone
Qualification as a repeatable run. Infrastructure as code and configuration management with parameters recorded, environment verification after build, drift detection, and re-establishing a qualified state after a change.
Topics: Infrastructure as code with recorded parameters · Configuration management for controlled hosts · Automated verification after environment build · Drift detection and response · Re-qualification after change · Environment parity between validated and development estates
Who authorised what, and how you know. Approval workflows enforced by the system, separating who writes from who approves and who deploys, privileged access with justification and expiry, and the audit trail all of that produces.
Topics: Approval workflows enforced in the pipeline · Separating author, approver and deployer · Privileged access with justification and expiry · Emergency change and its retrospective record · Audit trail completeness and access to it · Reviewing access periodically
The records that outlive the release. Audit trail design, immutability and integrity, retention periods and archival, restoring an archived record years later, and what an inspection or customer audit actually asks to see.
Topics: Audit trail design and completeness · Immutability and integrity verification · Retention periods and archival strategy · Restoring archived evidence · Access control over records · Preparing for an inspection or customer audit
Running controlled and uncontrolled delivery side by side. Separating estates without duplicating every tool, shared platform services with different guardrails, moving people between the two, and metrics that compare fairly.
Topics: Separating controlled and uncontrolled estates · Shared platform services with different guardrails · Promoting a system into or out of scope · Engineer mobility between delivery models · Metrics that compare the two honestly · Avoiding control creep into unregulated teams
We rebuild the agenda around the tools you actually run.
Request a custom agendaPick a shipped artefact and rebuild its complete history — requirement, commits, build, test results, approvals — then fix the point where the chain broke.
Convert a hand-configured job into versioned pipeline code, perform a controlled tooling upgrade, and record which pipeline version produced which release.
Map an existing suite to requirements, store results durably with integrity verification, and assemble a test evidence package for one release.
Recreate a controlled environment entirely from code with recorded parameters, run automated verification, then introduce drift and detect it.
Implement approval gates that enforce separation between author, approver and deployer, then run an emergency change and produce its retrospective record.
Receive an evidence request for a past release and satisfy it entirely from stored records, then write up what was missing and how the pipeline now prevents it.
Hyderabad's engineering base is weighted towards sectors where a release carries evidence obligations. Pharmaceutical and life-sciences technology built around the city's long-established bulk-drug and formulations industry, clinical data and healthcare payer platforms, medical device software, insurance and banking operations, telecommunications engineering, and unusually large product-engineering centres that own systems end to end rather than supporting them at arm's length. Analytics and data-platform work has grown alongside all of it.
The engagements that come out of Hyderabad therefore look different from those in a pure services market. Teams arrive with a working pipeline and a quality or compliance requirement that the pipeline does not yet satisfy: traceability from requirement to released artefact, approvals that enforce separation between author and approver, test results retained as evidence rather than discarded after a green build, and environments that can be rebuilt and verified instead of patched. Many of the same organisations also run unregulated product and analytics teams shipping weekly, so the recurring request is for two delivery speeds on shared platform services without the heavier controls leaking into teams that do not need them. Cloud adoption is high, Windows and Linux estates coexist, and change windows are negotiated against business cycles rather than assumed.
Billed yearly at ₹9,996
Max 8 to 10 hours of live instruction
Full program, private instructor
8–30 engineers · custom agenda · onsite or online · PO and GST invoicing
Refunds. If we cancel or postpone a cohort, you get a full refund within 15 days. There is no money-back guarantee otherwise.
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Certificate of completion
Helped to understand more on overall DevOps concepts.
Got good lab sessions which kept the new DevOps tool learnings to the point and it helped a lot in my career.
I took Terraform training with the tutor named Mithilesh. I requested to tailor the course curriculum for my needs. He did an excellent job of showing me how to write the Terraform script per the instructions provided.
My experience with the AIOps training was positive. The course covered important topics in a structured way, and Rajesh Kumar explained the concepts patiently. I found the practical aspects particularly helpful because they made the technical content easier to understand.
I was looking to improve my understanding of AIOps, and this training helped me achieve that goal. Rajesh Kumar explained the subject in a structured and practical manner. The sessions on different AIOps concepts were informative.
I recently did a SRE Session with Rajesh Kumar from DevOps School and the session was great. Right from 1st day till day 15, we had a very interactive session. Rajesh clarified our doubts and the tool demos were excellent without any hiccups. He simplified the concepts while sticking to the content with a fine balance between theory and practice. Am convinced he is one of the best trainers for SRE & DevOps concepts.
| What matters | YouTube + blogs | Generic online course | Freelance marketplace | DevOpsSchool |
|---|---|---|---|---|
| Named practitioner | No | Rarely | Varies per booking | Yes — same trainer each time |
| Production experience | Unknown | Unknown | Unverified | 20 years, named employers |
| Custom agenda | No | No | Sometimes | Built from your stack |
| Onsite delivery | No | No | Sometimes | Yes |
| Lab environment | None | Sandbox that expires | Varies | Your own cloud — skill goes with you |
| Assessment | None | Quiz | Rarely | Assignments + capstone per module |
| Per-attendee certificates | No | Sometimes | Rarely | Yes |
| Corporate invoicing | No | Limited | Varies | PO and GST |
| Post-training support | None | Forum, time-limited | None | Lifetime forum access |
Tell us the team, the stack and the timeline. You'll get a straight answer, not a sales sequence.
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