How to Become a DevOps Engineer: A Step-by-Step Guide
By Arjun Mathur
Updated on Jun 19, 2025 | 14 min read | 15.73K+ views
Share:
For working professionals
For fresh graduates
More
By Arjun Mathur
Updated on Jun 19, 2025 | 14 min read | 15.73K+ views
Share:
Table of Contents
Did you know that Gartner predicts that by 2027, 80% of organizations will integrate DevOps platforms into their development toolchains. It simplifies software delivery and reduce complexity, a significant increase from 25% in 2023. |
Becoming a DevOps engineer requires mastering the integration of software development and IT operations to accelerate software delivery and improve reliability. This hybrid role focuses on automating processes, managing CI/CD pipelines, and ensuring efficient code deployment.
DevOps engineers enhance collaboration across teams, ensuring seamless communication to reduce bottlenecks and optimize workflows. By learning cloud computing architecture, automation tools, and continuous integration, DevOps engineers ensure scalability, stability, and faster time-to-market for software applications.
In this blog, we’ll explore the role of a DevOps engineer, covering key responsibilities, in-demand skills, essential tools, salary expectations, and the growing opportunities in the field.
Fast-track your career with top software development courses from leading universities. Master in-demand skills like JavaScript, Node.js, and React, with a potential salary hike of up to 66%. Benefit from 1:1 mentorship and access to 300+ hiring partners.
DevOps is a software engineering practice that integrates development (Dev) and IT operations (Ops) to optimize the software delivery lifecycle. By emphasizing collaboration, automation, continuous integration, and continuous delivery (CI/CD),
It enables organizations to break down traditional silos between teams, allowing a culture of shared responsibility and accountability that drives system stability and scalability.
Stay ahead in tech with expert-led programs designed for real-world impact. Gain in-demand skills with courses like:
Key Aspects of a DevOps Engineer’s Role:
DevOps eliminates barriers between teams, enhancing collaboration, scalability, and customer satisfaction, all while accelerating time-to-market.
To become a DevOps engineer, a strong foundation in computer science, software development, or information technology is typically required. Most employers prefer candidates with a bachelor’s degree in Computer Science, Software Engineering, or related fields. However, practical experience and proficiency in DevOps tools can often outweigh formal education.
For those without the required degree, there are several alternative pathways:
By combining these alternative approaches, you can develop the necessary expertise and enter the DevOps field without a traditional degree.
Software Development Courses to upskill
Explore Software Development Courses for Career Progression
DevOps engineers are integral to the development lifecycle, ensuring that both development and operations teams collaborate effectively while automating, streamlining, and optimizing workflows. Below are the key responsibilities that DevOps engineers take on:
Subscribe to upGrad's Newsletter
Join thousands of learners who receive useful tips
To excel in the role of a DevOps engineer, professionals need a blend of technical expertise and soft skills. Below is a breakdown of both the hard and soft skills required:
DevOps engineers rely on a wide variety of tools to automate, optimize, and streamline processes across the software development lifecycle. Below is a brief overview of some of the most widely used tools in CI/CD, configuration management, containerization, monitoring, and cloud platforms:
Are you looking to upskill yourself in SQL? Here’s your chance!! Enroll yourself in a Free Advance SQL Course from upGrad and take your career to newer heights.
DevOps engineers are in high demand across a variety of industries. Their expertise in automation, CI/CD pipelines, cloud infrastructure, and collaboration makes them essential to modern software development teams. Here’s a detailed look at the scope and opportunities for DevOps engineer jobs:
upGrad’s Exclusive Software Development Webinar for you –
SAAS Business – What is So Different?
To build a successful career as a DevOps engineer, it is crucial to follow a structured path that emphasizes both technical skills and practical experience. This approach ensures a deep understanding of automation, cloud platforms, and CI/CD pipelines, preparing professionals to drive efficiency in modern software development workflows.
DevOps isn’t just about tech; it’s about solving business problems. Understand how DevOps contributes to efficiency and scalability in industries like e-commerce, finance, and healthcare. Knowing these specifics will allow you to tailor your approach and demonstrate value to employers.
DevOps engineers bridge the gap between development and operations teams. Focus on improving communication, empathy, and negotiation skills. Being able to foster cross-functional collaboration and solve conflicts makes you a key player in improving workflows and driving business success.
Create projects that showcase real-world DevOps solutions like automating deployment pipelines, managing cloud infrastructure, and integrating monitoring tools. Contribute to open-source projects or start a blog/YouTube channel to demonstrate your expertise and grow your personal brand in the DevOps community.
Target companies with a strong DevOps culture, tailoring your applications to highlight how your skills align with their business goals. Engage with companies via networking, LinkedIn, and industry events to build relationships with decision-makers before applying. Show how you can solve their specific challenges.
DevOps is fast-evolving. Keep up by following industry leaders, participating in webinars, and experimenting with new tools. Enroll in specialized courses and earn certifications to remain competitive.
Also read: Top 20 DevOps Practice Projects for Beginners with Source Code in 2025
The salary for a DevOps engineer can vary depending on experience, expertise, and location. Below is a breakdown of typical salaries for various DevOps roles in India, based on recent trends:
Role |
Average Salary (INR) |
DevOps Engineer | ₹3.8 Lakhs - ₹15 Lakhs |
Senior DevOps Engineer | ₹7.1 Lakhs - ₹35 Lakhs |
Lead DevOps Engineer | ₹12 Lakhs - ₹50 Lakhs |
Source: AmbitionBox
Factors that affect salary include:
The DevOps landscape is constantly evolving. Here are some future trends that DevOps professionals should watch out for:
GitOps is an extension of DevOps that uses Git as the single source of truth for declarative infrastructure and applications. It allows teams to manage both infrastructure and applications through Git repositories, enhancing automation, consistency, and transparency in deployments.
DevSecOps focuses on integrating security practices into the DevOps pipeline, ensuring that security is embedded into every stage of development and deployment. The shift left approach in DevSecOps promotes security testing early in the development lifecycle, preventing vulnerabilities from reaching production.
AI and machine learning are making their way into the DevOps world, enabling smarter automation in areas like anomaly detection, root cause analysis, and performance optimization. AI-driven tools can analyze patterns and provide insights to improve system performance without the need for manual intervention.
Platform engineering is a trend where teams focus on creating internal platforms that support development, testing, and deployment at scale. These platforms streamline the DevOps process by providing self-service tools and automated processes that allow development teams to work more efficiently.
DevOps engineers bridge development and IT operations by automating tasks, managing CI/CD, and working with cloud platforms. To stand out, focus on real-world project experience and earn certifications like AWS or Kubernetes. These credentials boost your resume and show practical expertise. Hands-on learning remains the most effective way to grow in this field.
As automation and cloud tools become essential, demand for DevOps professionals continues to rise. However, building the right skills and experience can be challenging. upGrad helps by offering courses that combine theory with hands-on projects. Guided by experts, you'll develop the practical knowledge needed to thrive in this fast-moving industry.
Feeling unsure about where to begin your DevOps journey? Get personalized counselling on the best course for your goals and start building the skills employers are looking for. Visit upGrad’s offline centers for a one-on-one chat and make sure you’re on the right track.
Boost your career with our popular Software Engineering courses, offering hands-on training and expert guidance to turn you into a skilled software developer.
Master in-demand Software Development skills like coding, system design, DevOps, and agile methodologies to excel in today’s competitive tech industry.
Stay informed with our widely-read Software Development articles, covering everything from coding techniques to the latest advancements in software engineering.
References:
https://skytechdigital.ae/wp-content/uploads/2024/10/2024-Gartner%C2%AE-for-DevOps-E-Book-1.pdf
https://www.ambitionbox.com/profile/devops-engineer-salary
https://www.ambitionbox.com/profile/senior-devops-engineer-salary
https://www.ambitionbox.com/profile/lead-devops-engineer-salary
A DevOps engineer can achieve this by implementing CI/CD pipelines that include automated testing, canary deployments, and version control hooks. These allow small, incremental updates to be validated and deployed frequently. Blue-green or rolling deployments can be used to switch traffic between environments without affecting the user experience. Monitoring and feedback loops are essential to catch issues early, enabling faster rollbacks or patches without compromising reliability.
Reducing MTTR involves implementing proactive observability practices such as centralized logging, real-time monitoring, and alerting tools like Prometheus, Grafana, or ELK Stack. Infrastructure as Code (IaC) ensures environments can be redeployed quickly using scripts, minimizing manual recovery time. Root cause analysis tools and runbooks help engineers respond effectively by having predefined procedures. Additionally, conducting chaos engineering experiments can prepare the team to recover faster during real incidents.
DevOps engineers use Infrastructure as Code tools such as Terraform, Ansible, or CloudFormation to define environments declaratively. This ensures that all configurations are version-controlled and reproducible across all stages. Containers and orchestration tools like Docker and Kubernetes further abstract the environment, making them portable and consistent. Automated tests and environment parity checks during the CI pipeline help validate consistency before production releases.
DevOps engineers often integrate secret management tools like HashiCorp Vault, AWS Secrets Manager, or Kubernetes Secrets into their pipelines. These tools prevent hardcoding sensitive values and enforce role-based access control. Secrets are injected at runtime, encrypted at rest, and rotated periodically to minimize security risks. Additionally, audit logs and monitoring are set up to track access to sensitive credentials.
Cost optimization involves using autoscaling groups, spot instances, and right-sizing compute resources based on actual usage metrics. DevOps engineers also monitor idle resources and use tools like AWS Cost Explorer or GCP Billing Reports to identify savings opportunities. Infrastructure-as-Code templates can enforce tagging for better cost allocation and budgeting. Performance is preserved by load testing, SLA monitoring, and configuring alerts when critical thresholds are reached.
First, the engineer assesses application dependencies and configures Dockerfiles for each component, starting with the least complex. Configuration files and runtime parameters are separated to allow external management. The application may be modularized progressively to extract microservices where feasible. Finally, orchestration using Kubernetes or Docker Compose is introduced for managing service lifecycles, networking, and scaling.
DevOps engineers design platform-agnostic pipelines using tools like Jenkins, GitHub Actions, or GitLab CI/CD integrated with Terraform or Pulumi for IaC. Cloud-specific configurations are abstracted using environment variables or service modules. Storage, identity, and networking policies are standardized via centralized configuration management. Additionally, container registries, artifact repositories, and secret stores are set up in a way that supports cloud-agnostic delivery.
DevOps engineers embed static code analysis, dependency scanning, and vulnerability assessment into CI pipelines using tools like SonarQube, Snyk, or Trivy. Infrastructure code is scanned for misconfigurations using tools like tfsec or Checkov. Role-based access controls, security policies, and compliance checks are enforced during deployments. Regular security audits, threat modeling, and incident response simulations also form part of the secure DevOps workflow.
High availability is maintained using container orchestration (e.g., Kubernetes) with replicas, node auto-healing, and traffic load balancing. Services are deployed across multiple availability zones or regions, with health checks and graceful failovers in place. Service meshes like Istio can provide finer control over retries, timeouts, and circuit breakers. DevOps also involves continuous monitoring and alerting to detect and respond to system degradation promptly.
Using IaC tools with state management like Terraform enables version control over infrastructure configurations. Changes are peer-reviewed and applied in staging before production using change sets or plans. Rollbacks are handled by reverting to previous commits in version control or using tagged infrastructure snapshots. Automated rollback logic is also embedded in CI/CD workflows to trigger if deployment health checks fail.
Engineers enable feature toggles, A/B testing, and canary releases to isolate experimental features from core systems. This allows product teams to test changes in production with minimal blast radius. Stable infrastructure and automated monitoring ensure issues are caught early and contained. Clear separation between experimental and production configurations, along with automated rollback, helps maintain overall system integrity.
57 articles published
Arjun Mathur is Program Marketing Manager for the Software Development, bringing over 5+ years of experience in ed‑tech and growth marketing. A B.Tech in Computer Engineering from IIT Delhi, he specia...
Get Free Consultation
By submitting, I accept the T&C and
Privacy Policy
India’s #1 Tech University
Executive PG Certification in AI-Powered Full Stack Development
77%
seats filled
Top Resources