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DevOps Engineering Training in Pune with Placement

Name: Archer Infotech
Address: Flat No. 12, Divyadarshan Housing Society, behind Kothrud Bus Stand Road, near Natraj Gas Agency, Londhe Wada, Chaitanya Nagar, Kothrud, Pune, Maharashtra, 411038, IN
Telephone: +91 9850 678451
Price range: ₹₹

Pune's trusted DevOps classes at the Archer Infotech institute, Kothrud — weekday, weekend and online batches with placement assistance.

Master DevOps practices and tools. Learn CI/CD, infrastructure as code, containerization, and build automated deployment pipelines.

4 Months

Intermediate

Online & Offline

Curriculum last reviewed: 6 May 2026

Interested in this course?

Get in touch with us to learn more about the curriculum, batch timings, and fees.

Enquire Now +91 9850 678451

Next batch starting soon!

DevOps Engineer and Site Reliability Engineer (SRE) are among the highest-demand technical roles in Pune in 2026 — Persistent Systems, BMC Software, Bajaj Finserv, Synechron, BMW TechWorks India, Mercedes-Benz R&D, Cummins, and the Mastercard Pune Tech Hub all run dedicated platform-engineering teams. Archer Infotech's DevOps training in Pune teaches the discipline as it is actually practiced in 2026 — Linux fundamentals, Git workflows, Docker, Kubernetes 1.30+, Terraform 1.7+, GitHub Actions and Jenkins, the modern observability stack (Prometheus + Grafana + Loki + Tempo), GitOps with Argo CD, plus the security and FinOps habits that separate junior DevOps from production-grade Platform Engineers. Classroom in Kothrud, online live, and weekend batches available.

Why Learn DevOps in 2026

DevOps is no longer a niche — it is the connective tissue between every modern software team and the systems they ship. Indeed Pune lists more than 1,200 active DevOps Engineer / SRE / Platform Engineer / Cloud Engineer openings as of May 2026, with continuous hiring at Persistent Systems, BMC Software, Bajaj Finserv, Synechron, BMW TechWorks India, Mastercard Pune Tech Hub, and the captive engineering centres of Mercedes-Benz, Cummins, and John Deere ETC. Pune SRE compensation is at the top end of the city's IT corridor — Senior DevOps Engineers and SREs frequently earn more than equivalent-experience full-stack developers because the role bundles operations expertise with on-call accountability.

What changed in 2026: the discipline has settled. Kubernetes 1.30+ is the default orchestrator (not optional, not aspirational). Terraform 1.7+ has eclipsed pure CloudFormation / ARM for multi-cloud teams; OpenTofu is gaining traction as a license-safe alternative. The observability stack has standardised around Prometheus + Grafana + Loki + Tempo (the 'PLG / OpenTelemetry' stack) replacing scattered ELK / DataDog-only deployments. GitOps with Argo CD has become the deployment pattern of choice for Pune product engineering teams. And FinOps — controlling cloud spend — is now an expected skill on senior DevOps roles, not a nice-to-have.

What this means for hiring: Pune DevOps JDs in 2026 expect Docker + Kubernetes hands-on, one cloud (AWS or Azure) at a working level, Terraform IaC, one CI/CD tool (GitHub Actions or Jenkins), and basic Prometheus / Grafana literacy. Senior roles add Argo CD GitOps, service mesh (Istio / Linkerd), security hardening (Trivy / Falco / OPA), and FinOps fluency. Archer Infotech's curriculum is rebuilt around exactly these expectations — engineering-first, production-realistic, and honest about the on-call reality of the role.

1,200+ active DevOps / SRE / Platform Engineer roles on Indeed Pune (May 2026)
Kubernetes 1.30+ + Terraform 1.7+ + Prometheus stack — the 2026 default
GitOps with Argo CD is now the deployment pattern of choice in Pune
Senior DevOps / SRE compensation often exceeds equivalent-experience devs
FinOps and on-call discipline now expected on senior roles

Who This Course Is For

For You If

Engineering, BCS, MCA, or BSc-CS student targeting DevOps Engineer / SRE / Platform Engineer roles
Working backend / full-stack developer wanting to add Docker / Kubernetes / IaC to your skill stack
Linux / system administrator transitioning into modern Cloud DevOps
QA or Build Engineer wanting to formalise into DevOps Engineer
Working DevOps practitioner wanting to update from a Jenkins-Bash-Ansible 2018 stack to the 2026 K8s + GitOps stack

Not For You If

If you have no Linux command-line comfort — work through a basic Linux course first; we move fast from week 1
If you have never written a script in any language — at least basic Python or Bash is required
If you expect a guaranteed ₹15L+ DevOps offer with no portfolio — Pune fresher DevOps entry sits at ₹4–₹7 lakh; the ₹15L+ roles need 2–3 years of real production work
If you cannot put in 10–12 hours per week of lab work outside class — DevOps is the most lab-heavy of all our tracks
If you cannot tolerate things breaking — DevOps is a discipline of breaking things on purpose to learn how to fix them; if that frustrates you, this is not your path
If you already have 4+ years of production DevOps with K8s and IaC — talk to us about a focused SRE / Platform Engineer specialisation instead

Detailed Curriculum

Linux, Networking & Bash Foundations

Weeks 1–2

DevOps without Linux fluency is fragile. Start with the working subset of Linux — file system layout, permissions, processes, signals, systemd units, package management on Ubuntu / Rocky, log files, cron, SSH key management. Then networking — TCP/IP basics, DNS resolution, HTTP / HTTPS, the curl / dig / netcat / tcpdump quartet, firewalls (ufw, iptables briefly), and how to debug a failing connection from first principles. Finish with Bash scripting at the level you actually need — variables, control flow, functions, error handling with `set -euo pipefail`, and the discipline of writing scripts that pass shellcheck.

Linux file system, permissions, processes, signalssystemd units and journalctlPackage management — apt, dnf, snapSSH key management and ssh-agentNetworking — TCP/IP, DNS, HTTP/HTTPSDebugging tools — curl, dig, netcat, tcpdump, ssBash scripting — set -euo pipefail, error handlingshellcheck and script linting

Git, GitHub & Trunk-Based Development

Week 3

Git as engineers actually use it, not as tutorials describe it. Covers the working subset (commit, branch, merge, rebase, cherry-pick, stash, reflog), the conflict-resolution workflow that does not lose work, and trunk-based development as the dominant Pune product-engineering pattern. GitHub workflow — pull requests, code reviews, branch protection, required checks, CODEOWNERS, conventional commits, semantic versioning. We finish the week with a small open-source-style project workflow that mirrors what Pune product teams actually run.

Git working subset — commit, branch, merge, rebaseConflict resolution without data lossTrunk-based development vs Git FlowGitHub PRs, branch protection, CODEOWNERSConventional commits, semantic versioningPre-commit hooks and pre-push checks

Docker — Containers Done Right

Week 4

Docker as a production tool, not a demo trick. Image vs container, the layered filesystem and how cache busting works, multi-stage builds for minimal images, distroless and Alpine for security-conscious shops, BuildKit / Docker Buildx for cross-platform images, Docker Compose for local-dev stacks. The discipline that separates working containers from secure containers — non-root users, read-only filesystems, healthchecks, .dockerignore, image scanning with Trivy. By the end of the week every student has containerised one stateful and one stateless application end-to-end.

Docker architecture, image layers, cacheDockerfile authoring and best practicesMulti-stage builds, distroless, AlpineBuildKit and Docker BuildxDocker Compose for local-dev stacksNon-root users, read-only FS, healthchecksContainer security scanning with TrivyContainer registry — Docker Hub, ECR, GHCR

Kubernetes 1.30+ — Workloads, Services, Ingress

Weeks 5–6

Kubernetes is the default orchestrator in Pune product engineering and the single biggest separator between junior and mid-level DevOps. Cover the architecture (control plane, etcd, kubelet, kube-proxy), Pods, Deployments, ReplicaSets, StatefulSets, DaemonSets, Services (ClusterIP / NodePort / LoadBalancer), Ingress with NGINX ingress controller, ConfigMaps and Secrets, persistent volumes, namespaces, RBAC, Network Policies, and Horizontal Pod Autoscaler. We work hands-on against a Minikube / kind cluster locally, then a small managed cluster (EKS / AKS / GKE) for the production-realistic exercises.

Kubernetes architecture and componentsPods, Deployments, ReplicaSets, StatefulSets, DaemonSetsServices and Ingress (NGINX ingress controller)ConfigMaps, Secrets, environment configurationPersistent volumes and storage classesNamespaces and RBACNetwork Policies (Calico / Cilium basics)Horizontal Pod Autoscalerkubectl debugging — describe, logs, exec, port-forward

Helm, Operators & Cluster Operations

Week 7

Helm 3 as the de facto package manager — chart structure, values, templates, hooks, and the Helm-vs-Kustomize debate (we teach both, with honest trade-offs). Then operators and Custom Resource Definitions (CRDs) — what they are, when they are over-engineering, and when they are essential. Cluster operations — node taints and tolerations, pod priority, resource requests / limits, eviction policies, cluster autoscaler. Finish with kube-prometheus-stack as a real production observability deployment via Helm.

Helm 3 — charts, values, templates, hooksHelm vs Kustomize — when to use whichCustom Resource Definitions and operatorsNode taints, tolerations, pod priorityResource requests / limits and QoS classesCluster autoscaler and Karpenter overviewkube-prometheus-stack deployment

CI/CD — GitHub Actions & Jenkins

Week 8

Two pipelines, two pillars of the Pune market. GitHub Actions for Pune product engineering and modern teams — workflows, jobs, matrix builds, OIDC federation to AWS / Azure (no static keys), reusable workflows, and the discipline of caching to keep pipelines under 5 minutes. Jenkins for Pune enterprise / BFSI shops where Jenkins is institutional — declarative pipelines, shared libraries, agent management on Kubernetes via the Kubernetes Jenkins plugin. Both delivered hands-on with a real microservice deployed end-to-end.

GitHub Actions — workflows, jobs, matrix, reusableOIDC federation to AWS / AzureCaching strategies and pipeline performanceJenkins declarative pipelinesJenkins shared librariesJenkins agents on KubernetesPipeline patterns — build-test-scan-deployArtifact management — Nexus, Artifactory, GHCR

Terraform & GitOps with Argo CD

Week 9

Terraform 1.7+ as the dominant IaC tool in Pune multi-cloud teams. Cover providers, state management (remote state in S3 / Azure Blob with DynamoDB / Cosmos locking), modules, workspaces, terragrunt overview, drift detection, and the discipline of module design that does not become an unmaintainable mess. Then GitOps with Argo CD — the deployment pattern of choice in Pune product engineering — Application CRDs, ApplicationSets, sync policies, hooks, and the promotion pattern (dev → staging → prod) that mature teams actually use.

Terraform 1.7+ — providers, state, modulesRemote state with lockingTerraform workspaces and terragruntDrift detection and remediationArgo CD — Application CRDs, sync policiesApplicationSets for multi-clusterPromotion patterns — dev → staging → prodOpenTofu overview (Terraform license-safe alt)

Observability — Prometheus, Grafana, Loki, Tempo

Week 10

The observability stack the Pune SRE community has settled on — the PLG (Prometheus / Loki / Grafana) plus Tempo and OpenTelemetry. Prometheus metrics with PromQL, recording rules, alerting rules, Alertmanager integration to PagerDuty / Opsgenie / Slack. Grafana dashboards (and the discipline of designing dashboards that humans can actually use during an incident — Brendan Gregg's USE / Google's Four Golden Signals). Loki for logs with LogQL, Tempo for distributed traces, and OpenTelemetry as the instrumentation standard. Finish with a real on-call simulation — a controlled outage that the class debugs together.

Prometheus architecture, exporters, scrape configsPromQL — operators, functions, recording rulesAlertmanager and on-call integrationGrafana dashboards — USE / Four Golden SignalsLoki + LogQL for logsTempo for distributed tracesOpenTelemetry instrumentationOn-call simulation — controlled outage debugging

Security, FinOps & Capstone Project

Weeks 11–12 + 2 weeks placement prep

The senior-DevOps differentiators. Container and Kubernetes security — Trivy for image scanning, Falco for runtime detection, Open Policy Agent (OPA) / Kyverno for policy as code, sealed-secrets and external-secrets for secret management. FinOps — tagging strategy, cost allocation, AWS Cost Explorer and Azure Cost Management, Kubecost for cluster spend, and the practical patterns that cut a runaway cloud bill by 30–50% without breaking workloads. Capstone project (see Capstone Projects). Mock interviews calibrated for Pune DevOps panels — Persistent, BMC, Bajaj Finserv, Synechron, Mercedes-Benz R&D — including a Linux command-line round, a Kubernetes troubleshooting round, and an architecture / scenario round.

Trivy, Falco, OPA / Kyverno for K8s securitySealed-secrets, External Secrets OperatorPod Security Standards and Pod Security AdmissionFinOps — tagging, cost allocation, KubecostCapstone implementation, deployment, READMELinux mock round, Kubernetes troubleshooting round, system-design roundResume + LinkedIn rewrite for DevOps / SRE / Platform JDsGitHub portfolio polishHR mock interview and salary negotiation

Capstone Projects You Will Build

Project 1: End-to-End GitHub Actions CI/CD with EKS / AKS Deployment

Take a small microservice (Spring Boot, FastAPI, or Node.js — your choice), containerise it with a multi-stage Dockerfile, write a GitHub Actions pipeline that lints, tests, scans (Trivy), builds, signs (cosign), and deploys via Helm to an EKS or AKS cluster using OIDC federation (no static keys). Add Prometheus annotations on the service and a Grafana dashboard. Outcome: a public GitHub repository with passing CI badges plus a clickable demo URL — exactly what Pune DevOps hiring panels ask for.

Docker (multi-stage, distroless)GitHub Actions with OIDCTrivy + cosignHelm 3Amazon EKS or Azure AKSPrometheus + Grafana

Project 2: Terraform + Argo CD GitOps Multi-Environment Setup

Provision a complete multi-environment Kubernetes platform with Terraform — VPC / VNet networking, EKS / AKS cluster, RDS / Azure SQL database, IAM / RBAC, ACM / Key Vault — then layer Argo CD on top with ApplicationSets for dev / staging / prod environments and a clean promotion pattern (PR-driven for dev, tag-driven for staging, manual approval for prod). Includes a one-page architecture review against the Well-Architected Framework. Outcome: a production-style platform-engineering reference that demos in 5 minutes.

Terraform 1.7+AWS or Azure (your choice)Argo CD + ApplicationSetsHelm chartsGitHub ActionsPrometheus + Grafana stack

Project 3: Production Observability Stack with On-Call Runbook

Deploy the full PLG + Tempo stack via kube-prometheus-stack on a real cluster, instrument three sample services with OpenTelemetry, build USE-method and Four-Golden-Signals dashboards in Grafana, write Prometheus alerting rules with sane thresholds, configure Alertmanager → Slack / PagerDuty, and document a 5-page on-call runbook covering common failure modes. Optional — extend with Falco runtime security alerts and Kubecost dashboards for FinOps signal. Outcome: an SRE-grade observability portfolio piece, the differentiator on most senior Pune SRE JDs.

kube-prometheus-stack (Prometheus + Grafana + Alertmanager)Loki for logsTempo for tracesOpenTelemetry SDKsAlertmanager + Slack / PagerDutyFalco + Kubecost (optional FinOps extension)

Career Outcomes & Salaries in Pune

DevOps Engineer, SRE, and Platform Engineer are among the highest-paid technical roles in Pune in 2026 — Indeed Pune lists 1,200+ active openings, and senior compensation regularly exceeds equivalent-experience full-stack developer offers because the role bundles operations expertise with on-call accountability. The biggest Pune employers are Persistent Systems, BMC Software, Bajaj Finserv, Synechron, BMW TechWorks India, Mastercard Pune Tech Hub, Mercedes-Benz R&D India, Cummins, John Deere ETC, plus the IT services majors with platform-engineering practices (TCS, Infosys, Cognizant, Capgemini).

What pulls a DevOps engineer above the median band: a public GitHub repository with a real GitHub Actions CI/CD pipeline deploying via Helm to a cloud Kubernetes cluster, demonstrable Terraform IaC work (not just snippets), one observability stack you have actually deployed and dashboarded, and one on-call / runbook artefact. Our capstone projects are designed exactly around these signals.

Senior DevOps / SRE bands at the top end are reported as national figures (Pune-specific Indeed pages do not exist for these specific titles); Pune trends within ±10% of these figures based on AmbitionBox, 6figr, and direct alumni feedback.

Role	Salary band	Source
DevOps Engineer (Pune)	₹7,07,950 per year average	Indeed Pune (DevOps Engineer)
Junior DevOps Engineer (Pune entry, <2 years)	₹4,00,000 – ₹7,00,000 per year	AmbitionBox Pune DevOps Engineer
Mid-level DevOps Engineer (Pune, 3–5 years)	₹12,00,000 – ₹20,00,000 per year	Glassdoor Pune DevOps Engineer
Site Reliability Engineer (Pune, 4–7 years)	₹16,00,000 – ₹28,00,000 per year	Glassdoor Pune SRE
Lead / Staff DevOps / Platform Engineer (national, 7+ years)	₹26,00,000 – ₹50,00,000 per year	6figr India Lead DevOps / Platform (Pune ±10%)

Pune companies hiring DevOps professionals in 2026

Persistent SystemsBMC SoftwareBajaj FinservSynechronMastercard Pune Tech HubBMW TechWorks IndiaMercedes-Benz R&D IndiaCummins IndiaJohn Deere ETCTCSInfosysWiproCognizantCapgeminiAtos / EvidenHoneywell

Roles after this DevOps course

DevOps EngineerSite Reliability Engineer (SRE)Platform EngineerCloud EngineerBuild / Release EngineerKubernetes AdministratorInfrastructure EngineerJunior DevSecOps Engineer

Course Duration, Batches & Modes

Duration: 3 months of structured curriculum (12 weeks, 4-month listing reflects optional extended evening format) plus 2 weeks of capstone project work and interview preparation

Classroom

Archer Infotech, Kothrud, Pune

• Morning batch — 10:00 to 13:00
• Evening batch — 18:00 to 21:00
• Lab access available outside class hours

Online Live

• Same hours as classroom batches — morning or evening
• Recordings available for review
• Same lab reviews and project feedback as in-person batches

Tools used:

Zoom for live sessionsPersonal AWS / Azure sandbox account per studentGitHub for code and Terraform reviewsSlack / WhatsApp for asynchronous Q&A

Weekend

• Saturday + Sunday, 09:00 to 13:00

Stretches over 5 months instead of 3 to accommodate working professionals. Same content, lower weekly load.

Maximum 15 students per batch — small enough that the trainer reviews every student's pipeline and Helm chart personally. Classroom batches start every 4 weeks; weekend batches every 6 weeks.

Course Fees

Course fees range from ₹20,000 to ₹90,000 depending on mode (classroom / online / weekend), batch type, and any applicable concession. Kindly reach us for the current 2026 quote — we calibrate by early-bird timing, group enrolment, and returning-alumni concessions. Cloud sandbox spend (AWS / Azure Free Tier mostly covers it) typically runs ₹500–₹1,500 across the course and is paid by the student directly.

₹20,000 – ₹90,000 — the higher end covers placement-track classroom batches with full GitOps + observability + FinOps modules and extended interview prep; the lower end covers concession-eligible online or weekend formats.

Payment options:

Single payment with early-bird discount
EMI in 2–3 instalments at no extra cost
Corporate sponsorship — invoiced to your employer with GST

Placement Support

Placement support starts from week 8 of the course, not at the end. By the time you finish the curriculum, your resume highlights real GitOps and observability work, your GitHub has a deployable Terraform + Argo CD reference repository, and you have completed at least three mock technical interviews against question banks from Pune DevOps hiring teams.

We say placement support, not placement guarantee — for two honest reasons. First, no institute can guarantee a hire when the final decision is the company's. Second, the institutes that do guarantee tend to bury the conditions in fine print. Our support is unconditional, time-bound (six months after course completion), and includes free re-entry to a future batch's interview-prep sessions if your first round of interviews does not land.

Placement process — week by week

Week 8 — resume and LinkedIn rewrite, calibrated for DevOps / SRE / Platform JDs
Week 9 — GitHub portfolio cleanup, Terraform README polish, dashboard screenshots
Weeks 10–11 — Linux + Kubernetes troubleshooting drills, system-design walkthroughs, on-call scenario simulations
Weeks 11–12 — three rounds of mock technical interviews (Linux + K8s + system-design)
Week 12 — HR mock interview and salary negotiation coaching
Post-course — referrals via our 17-year alumni network at 12+ partner companies
Up to 6 months of continued support after course end
Free re-entry to future batch interview-prep sessions if first round does not land

Partner companies

Persistent SystemsBMC SoftwareBajaj FinservSynechronMastercard Pune Tech HubBMW TechWorks IndiaMercedes-Benz R&D IndiaCumminsTCSInfosysCognizantCapgemini

See recent placement records →

How Archer Infotech Compares

We compare ourselves against typical Pune DevOps training institutes on factual rows only — no logos, no opinions. Use this as a checklist when evaluating any institute.

Factor	Archer Infotech	Typical Pune institute
Trainers named on course page with photos and LinkedIn	Yes — Amol Patil and Yogesh Patil	No — generic 'expert trainers' branding
Personal cloud sandbox account per student	Yes — AWS or Azure, used end-to-end through capstone	Shared institute account or screen-share only
Kubernetes depth covered	Architecture + workloads + Helm + operators + cluster ops + RBAC + Network Policies	Deployments + Services only, no operators or RBAC
Infrastructure as Code coverage	Terraform 1.7+ deeply, OpenTofu and Argo CD GitOps	Console click-through or Terraform-light
Observability stack covered	Prometheus + Grafana + Loki + Tempo + OpenTelemetry hands-on	Slides on what Prometheus is, no actual deployment
GitOps and modern deployment patterns	Argo CD ApplicationSets + promotion patterns + sealed-secrets	Not covered, or marketing-only mention
Security and FinOps coverage	Trivy + Falco + OPA + Kubecost — hands-on senior-DevOps differentiators	Not covered
On-call simulation in the course	Yes — controlled outage debugging in week 10	Not covered
Public GitHub portfolio output	Yes — CI/CD pipelines + Terraform repos + Grafana dashboards	Rare
Salary data shown	Cited from Indeed Pune + AmbitionBox + Glassdoor + 6figr with source URLs	Single number with no source
Course fee transparency	₹20,000 – ₹90,000 published range with mode breakdown	Hidden behind enquiry form
Placement support duration after course	6 months, with free re-entry to interview prep	1–3 months or vaguely 'until placed'
Batch size cap	15 students	25–40 students

Compare with whoever you are considering — we welcome the comparison. The right test is whether you can see actual student CI/CD pipelines and Grafana dashboards before you pay.

DevOps vs Cloud (AWS / Azure) — Which Should You Learn First in Pune?

DevOps vs Cloud is the most-asked question in Pune infrastructure-track counselling. The honest distinction: Cloud (AWS / Azure) is platform-specific knowledge — services, architecture patterns, certification paths. DevOps is platform-agnostic discipline — automation, CI/CD, IaC, containers, orchestration, observability — that uses cloud as the underlying substrate. They overlap heavily; mature engineers do both.

Pune market reality: pure 'AWS Cloud Engineer' titles outnumber pure 'DevOps Engineer' titles, but DevOps Engineer compensation is typically 10–20% higher at equivalent experience because the role is broader. Senior SRE compensation runs noticeably above senior Cloud Engineer compensation. Most Pune product engineering teams hire DevOps / SRE rather than 'pure' Cloud Engineer for new platform-engineering roles.

Honest recommendation: pick AWS first if your goal is product engineering, the Solutions Architect Associate certificate is a hard requirement on your shortlist, or your current employer is a heavy AWS shop. Pick DevOps first if your goal is the broader Platform Engineer / SRE career arc, or you already have one cloud at a working level. Many of our students do AWS first and DevOps 6–12 months later — these stack well, and senior platform roles need both.

Prerequisites & How to Start

Prerequisites: comfortable on a Linux command line, basic Bash or Python scripting, and at least one programming language at a junior level. You do NOT need prior cloud or container experience — we start from `apt update` and `docker pull` in week 1. Working developers from any backend stack (Java, Python, .NET, Node) typically slot in well; pure Windows-administrator candidates may find weeks 1–2 a stretch and should consider an introductory Linux course first.

Decide your mode — classroom in Kothrud, online live, or weekend
Check the upcoming batch dates on our batch schedule page
Book a free 30-minute counselling call — we will honestly tell you whether the course fits your goal (we say no to roughly 15% of DevOps enquirers because Linux foundation isn't yet there)
Confirm enrolment and complete pre-course orientation (laptop checklist, AWS / Azure account creation guide)
Show up to day one with a laptop running 64-bit Linux / macOS / Windows-with-WSL2, and a personal credit card or UPI mandate (for cloud account verification — billing alarms keep usage in Free Tier)

Frequently Asked Questions

Which is the best DevOps training institute in Pune?+

We can't honestly answer 'best' for ourselves. The test that works: ask any institute you are considering to (1) name the trainer who will teach your batch and show their LinkedIn, (2) show real student CI/CD pipelines and Terraform repositories, and (3) name companies that hired their last 5 batches. Compare on those three.

How long does DevOps training in Pune take at Archer Infotech?+

Three months (12 weeks) of structured curriculum plus 2 weeks of capstone project and interview preparation. The original 4-month listing reflects an optional extended evening format. The weekend batch stretches over 5 months at the same content depth, designed for working professionals.

What is the salary of a DevOps Engineer in Pune?+

Indeed Pune reports an average of ₹7.08 lakh per year for DevOps Engineer (May 2026). Junior DevOps Engineer Pune entry sits at ₹4–7 lakh per year per AmbitionBox. Mid-level DevOps Engineers (3–5 years) earn ₹12–20 lakh per Glassdoor. SREs (4–7 years) earn ₹16–28 lakh. Lead / Staff DevOps / Platform Engineers earn ₹26–50 lakh nationally with Pune trending within ±10% of those figures.

What is the fee for the DevOps course in Pune?+

Course fees range from ₹20,000 to ₹90,000 depending on mode (classroom / online / weekend), batch type, and applicable concession. The higher end covers placement-track classroom batches with full GitOps + observability + FinOps modules and extended interview prep; the lower end covers concession-eligible online or weekend formats. Cloud sandbox spend across the course typically runs ₹500–₹1,500 (paid directly by the student to AWS / Azure).

Do I need programming experience to learn DevOps?+

Yes — at least basic Python or Bash is required to follow the IaC, scripting, and pipeline modules. You do not need to be a senior developer; junior fluency is enough. If you have done our Java or Python training (or equivalent), you are ready. Pure non-developers should do a Linux + scripting course first.

Do I need Linux knowledge before joining?+

Yes — basic Linux command-line comfort is required from week 1. We level up Linux knowledge in weeks 1–2 (file system, processes, networking, Bash) but we do not start from 'what is a terminal'. If you are new to Linux, work through a basic course first; we politely turn away candidates who are not yet at the basic-Linux level.

DevOps or AWS — which should I learn first in Pune?+

AWS first if your goal is product engineering, you want the Solutions Architect Associate certificate, or your shortlisted employers are heavy AWS shops. DevOps first if your goal is the broader Platform Engineer / SRE career arc, or you already know one cloud. Many Pune engineers do AWS first and DevOps 6–12 months later — both are needed at senior platform-engineering level.

Will I work on real projects?+

Yes — three capstone projects: (1) end-to-end GitHub Actions CI/CD with EKS or AKS deployment via Helm, (2) Terraform + Argo CD GitOps multi-environment platform, (3) production observability stack with Prometheus + Grafana + Loki + Tempo plus on-call runbook. All three become public GitHub repositories with passing CI badges.

Do I get my own AWS / Azure account during the course?+

Yes — every student creates their own personal cloud sandbox account in week 4 (Docker week, when we move beyond local) with a billing alarm set at ₹1,000. We use Free Tier wherever possible; total cloud charges across the 14 weeks typically run ₹500–₹1,500 if you follow the runbooks (and tear down resources after labs).

Is Kubernetes covered in depth or just briefly?+

Kubernetes is covered in depth across weeks 5–7 — architecture, all major workload types, Helm, operators, RBAC, Network Policies, cluster operations, and the kube-prometheus-stack deployment. It is the single biggest module in the curriculum because it is the single biggest separator between junior and mid-level DevOps in Pune hiring.

Are Argo CD and GitOps included?+

Yes — week 9 covers Argo CD with ApplicationSets and the dev → staging → prod promotion pattern that mature Pune product-engineering teams use. Capstone Project #2 includes a full GitOps deployment. This pattern has become the deployment standard in Pune product engineering, replacing manual Helm-apply workflows.

Are weekend DevOps classes available in Pune?+

Yes — Saturday and Sunday, 09:00–13:00, stretched over 5 months instead of 3. Same content, same trainers, same labs and capstone. Designed for working professionals who cannot attend weekday batches.

What about on-call experience?+

Week 10 includes a controlled-outage simulation — the trainer breaks something on the cluster (a bad deploy, a misconfigured network policy, an OOM-killed pod) and the class debugs it together using Prometheus, Grafana, Loki, kubectl describe, and the runbook patterns we teach. Real on-call experience comes after you are placed; this exercise gets you to the level where you can handle the first 30 days of on-call without panic.

What support do I get after course completion?+

Six months of active placement support — mock interviews calibrated for DevOps / SRE / Platform roles (Linux command-line round + Kubernetes troubleshooting + system-design), referrals via our alumni network at 12+ partner companies, resume / LinkedIn / GitHub rewrites, and salary negotiation coaching. If your first round of interviews does not land, you can sit in on a future batch's interview-prep sessions free of charge.

Are the named trainers actually teaching, or are they just on the brochure?+

Amol Patil personally leads the Docker, Kubernetes, Helm, CI/CD, observability, and FinOps weeks. Yogesh Patil leads the Linux foundations, Terraform / GitOps, and security / capstone weeks. The same names you see on this page show up in your batch on day one.