25 Essential DevOps Engineer Skills: A Complete Guide to Technical & Soft Skills

DevOps professionals address deployment delays and dismantle silos between development and IT operations. They design automated pipelines that accelerate release cycles while minimizing errors. In 2025, DevOps engineers are adopting GitOps to manage infrastructure through version control, ensuring safer and more transparent updates. 

These trends are reshaping software delivery, making DevOps an essential function in modern organizations, significantly increasing the demand for skilled DevOps engineers. DevOps engineers need a blend of technical and soft skills to automate release cycles and resolve cross-functional bottlenecks, driving efficient software delivery and team collaboration. In this guide, we’ll cover 25 essential DevOps engineer skills that are in high demand.

What are DevOps Engineer Skills? Role & Required Skills

A DevOps engineer combines software development and IT operations expertise to streamline workflows and speed up software delivery. They enhance collaboration across development, testing, and operations teams, often using tools like Jenkins for CI/CD automation and Kubernetes to orchestrate microservices. This ensures faster, more reliable releases with fewer issues.

To function efficiently, DevOps engineers require a perfect mix of technical expertise and soft skills. Technical skills enable them to manage infrastructure, deployment, and automation effectively, streamlining processes and reducing errors. Soft skills, on the other hand, help them navigate team dynamics, resolve conflicts, and drive change, ensuring smooth collaboration. By acquiring proficiency in both, DevOps engineers become valuable assets for employers, enhancing productivity and nurturing a culture of continuous improvement.

Ready to start your DevOps journey? Choose from our top-rated courses designed to elevate your DevOps engineer skills and boost your career—enroll now and take the first step toward your success!

• Professional Certificate Program in Cloud Computing and DevOps
• AI-Powered Full Stack Development Course by IIITB
• AI-Driven Full-Stack Development

Let’s take a look at these DevOps engineer skills more closely and understand how you can benefit from each. 

Technical Skills Required for DevOps Engineers

DevOps engineers bridge development and operations to build, test, and release software rapidly and reliably. Their technical skills stand out for combining infrastructure management with coding, using popular tools like Jenkins for CI/CD, Docker for containerization, and Terraform for infrastructure as code. They also adapt to evolving trends such as AI-driven CI/CD pipelines and GitOps, ensuring continuous improvement and automation at scale.

Here are the key technical skills required for DevOps engineers to work more efficiently:

1. Version Control Systems (VCS)

Version control systems like Git and SVN help in managing code changes, tracking history, and allowing multiple developers to work simultaneously on the same codebase without interfering with each other’s work. DevOps engineers use VCS to ensure smooth collaboration and code integrity, enabling teams to roll back to previous versions when necessary.

Relevant Applications:

• Managing Code Changes: In a team project, multiple developers work on new features. Git allows them to work on separate branches and later merge their changes into the main branch without conflicts. For example, a team of developers working on a mobile app uses Git to manage different versions of the app. If one feature breaks something, they can easily revert to the previous version without losing all progress.
• Collaborating Across Teams: A large development team working on microservices can efficiently collaborate by using Git to synchronize code across different teams. For example, the front-end team uses a separate branch from the back-end team, and changes are later merged for integration testing.
• Rollback and Recovery from Errors: Beyond basic version control, DevOps engineers use Git within GitOps workflows to automate rollbacks and maintain system stability. Git’s history enables safe reversion to stable versions, while permission controls ensure only authorized changes are deployed. Integrating Git with automated pipelines allows quick, reliable recovery after failed deployments without manual intervention.

Also Read: Full-Stack vs. Software Engineer: Which One Should You Choose?

2. Continuous Integration/Continuous Deployment (CI/CD)

CI/CD is a set of practices that enable automatic integration, testing, and deployment of code changes, ensuring software can be delivered faster and more reliably. DevOps engineers use CI/CD tools like Jenkins and GitLab CI to automate these processes, reducing manual intervention and human error.

Relevant Applications:

• Automation of Build, Test, and Deployment: When a developer pushes new code to the repository, Jenkins automatically triggers a series of tasks: compiling the code, running tests, and deploying it to staging environments. For example, a developer commits new code, and the Jenkins pipeline runs automated tests. If all tests pass, the new code is deployed to a testing environment automatically.
• Streamlining Application Delivery: A company deploying a new feature every week can use a CI/CD pipeline to ensure the code is always ready for deployment with minimal manual oversight. For example, a SaaS application uses GitLab CI to push daily code updates, running unit tests and deploying to production with minimal downtime.
• Reducing Manual Errors: By automating testing and deployment, DevOps engineers cut down the risk of human error, ensuring that code quality is consistently high. For example, using automated testing tools in the CI pipeline prevents bugs from reaching production by running unit, integration, and UI tests automatically.

3. Cloud Platforms (AWS, Azure, Google Cloud)

Cloud platforms provide scalable infrastructure and tools that allow businesses to manage and deploy applications. DevOps engineers must be proficient in cloud platforms like AWS, Azure, and Google Cloud to handle infrastructure management, networking, and storage.

Relevant Applications:

• Infrastructure as a Service (IaaS): DevOps engineers can use AWS EC2 instances to create scalable virtual machines for deploying applications. For example, a startup uses AWS EC2 instances to deploy their app, scaling the number of instances based on traffic during peak hours.
• Platform as a Service (PaaS): Platforms like Google App Engine allow DevOps engineers to focus on deploying code rather than managing the underlying infrastructure. For example, a development team uses Azure App Services to deploy their applications without worrying about managing servers or configuring hardware.
• Managing Cloud-based Environments: DevOps engineers handle complex multi-cloud setups, automating the entire infrastructure lifecycle from provisioning to decommissioning. They implement tagging strategies for tracking usage and costs across services while integrating monitoring tools to maintain performance and security. For example, an e-commerce company might use AWS and Azure together, automating scaling, load balancing, and storage while keeping cloud spend optimized and infrastructure reliable.

Also Read: Continuous Delivery vs. Continuous Deployment: Difference Between

4. Infrastructure as Code (IaC)

IaC allows DevOps engineers to automate the provisioning and management of infrastructure through code rather than manually configuring hardware. Tools like Terraform and CloudFormation allow engineers to define infrastructure in code, ensuring consistency and scalability.

Relevant Applications:

• Automating Server Provisioning: Terraform enables engineers to provision new infrastructure components, such as virtual machines or databases, automatically using code. For example, a DevOps engineer uses Terraform to automate the creation of AWS EC2 instances and configure security groups based on a version-controlled script.
• Maintaining Consistent Infrastructure: DevOps engineers use IaC to ensure that infrastructure is identical across all environments (development, staging, production). For example, a company uses CloudFormation to ensure that its development and production environments are configured the same way, reducing "works on my machine" issues.
• Ensuring Reproducibility of Environments: IaC scripts allow teams to recreate entire environments if needed, ensuring that infrastructure is always replicable. For example, a staging environment is rebuilt from code using Terraform, ensuring it mirrors production exactly.

Also Read: What Are The Skills to Become a Cloud Engineer

5. Containerization (Docker, Kubernetes)

Containerization ensures that applications run consistently across different environments. Tools like Docker and Kubernetes allow DevOps engineers to package and deploy applications as containers, improving portability and scalability.

Relevant Applications:

• Packaging Applications in Containers: Docker allows developers to package applications along with their dependencies, ensuring that they run the same way on any machine. For example, a team of developers packages a Node.js application and its dependencies into a Docker container, ensuring consistency from development to production.
• Orchestrating Containers at Scale: Kubernetes manages and orchestrates containers in a scalable way, ensuring that containers can be automatically deployed, scaled, and maintained. For example, a large e-commerce platform uses Kubernetes to manage its microservices, ensuring that each service is scaled based on demand and that containers are distributed across multiple nodes.
• Ensuring Portability Across Environments: Containers provide a consistent environment, reducing compatibility issues when moving applications between different environments (e.g., development, staging, production). For example, a DevOps engineer uses Docker to create containers for a Python application, ensuring it works consistently across multiple environments.

6. Monitoring and Logging Tools (Prometheus, Grafana, ELK Stack)

Monitoring tools like Prometheus and Grafana help DevOps engineers track application health and system performance, while the ELK Stack (Elasticsearch, Logstash, Kibana) provides centralized logging for troubleshooting and tracking errors.

Relevant Applications:

• Monitoring System Health: Prometheus collects metrics, and Grafana visualizes them, helping engineers monitor system performance, alert on issues, and maintain uptime. For example, an online retail site uses Prometheus to monitor server CPU usage, and Grafana visualizes the data to detect potential system overloads before they affect customers.
• Logging and Tracking Errors: The ELK Stack provides real-time insights into system logs, allowing engineers to identify errors and resolve issues quickly. For example, a financial institution uses the ELK Stack to track transaction logs and detect discrepancies in their processing systems in real-time.
• Real-time Insights into Application Performance: By combining Prometheus and Grafana, DevOps engineers can get live data on application performance, alerting them to potential failures. For example, a SaaS provider uses Grafana to track API response times, triggering alerts if they exceed predefined thresholds.

Also Read: Splunk Vs Elk: Which One Should You Choose? [Complete Comparison]

7. Networking and Security

Networking and security are those DevOps engineer skills that ensure the management of the integrity and security of cloud infrastructure and applications. Understanding firewalls, VPNs, and encryption is vital for protecting data and ensuring safe communications.

Relevant Applications:

• Securing Application Data: Ensuring secure connections between services using encrypted protocols like HTTPS or TLS. For example, a healthcare company ensures all patient data is encrypted using TLS for communication between their servers and client apps.
• Configuring Networking Protocols: DevOps engineers need to configure networking protocols and firewalls to secure cloud infrastructure from unauthorized access. For example, a financial services firm configures firewall rules in AWS to restrict access to sensitive data to only authorized IP addresses.
• Protecting Cloud Infrastructure: Configuring VPNs and securing cloud services ensures that only authorized users can access the cloud infrastructure. For example, a company uses a VPN to secure connections for remote employees accessing AWS resources.

Also Read: Data Security in Cloud Computing: Top 6 Factors To Consider

8. Automation and Scripting (Python, Bash, Shell)

Automation and scripting are core DevOps engineer skills, allowing engineers to automate repetitive tasks such as server provisioning, system configurations, and deployments.

Relevant Applications:

• Writing Scripts for Automation: DevOps engineers write scripts to automate tasks such as server setup, package installation, and environment configuration. For example, a DevOps engineer writes a Python script to automatically deploy new Docker containers and configure the necessary network settings.
• Configuring Servers and Services: Shell scripts automate the configuration of services like web servers, databases, and load balancers. For example, a Bash script configures an Nginx server to load-balance traffic between multiple application instances.
• Enhancing Efficiency Through Automation: Automating repetitive tasks frees up engineers to focus on higher-value tasks, reducing human error. For example, a script is created to automatically back up databases at regular intervals and upload them to cloud storage.

9. Database Management and Optimization

DevOps engineers must manage databases to ensure high availability, integrity, and performance. They must be familiar with both relational databases, like MySQL and PostgreSQL, and NoSQL systems.

Relevant Applications:

• Optimizing Database Performance: Engineers use tools like pgTune for PostgreSQL to optimize query performance and database responsiveness. For example, a team working on a large-scale e-commerce platform uses MySQL indexing strategies to optimize database queries for faster product search results.
• Managing Backups and Recovery: Setting up automated backups and defining a recovery process ensures data availability. For example, a DevOps engineer configures AWS RDS to automatically back up a MySQL database daily to ensure data recovery in case of failure.
• Automating Database Operations: Automating database schema migrations and updates ensures smoother deployment cycles. For example, a DevOps engineer automates the deployment of new database schemas using Liquibase to avoid manual intervention during updates.

Also Read: SQL Vs NoSQL: Key Differences Explained

10. Microservices Architecture

Microservices break applications into small, independent services that can be deployed, updated, and scaled independently. DevOps engineers design and manage these microservices to ensure scalability and maintainability.

Relevant Applications:

• Developing Scalable Applications: Microservices enable teams to independently scale services based on demand, without affecting other parts of the application. For example, an online retail platform breaks down its checkout, inventory, and payment services into separate microservices, scaling each independently based on traffic.
• Managing Multiple Microservices: Kubernetes or Docker Swarm orchestrates and manages multiple microservices, ensuring they work together without conflict. For example, a media streaming service uses Kubernetes to deploy microservices handling user authentication, content delivery, and recommendations.
• Facilitating Continuous Deployment: Microservices allow for continuous deployment, where each microservice can be updated and deployed without affecting the entire system. For example, a SaaS application team releases updates to its billing service independently of its user management service, ensuring minimal disruption.

11. Serverless Computing

Serverless computing, such as AWS Lambda, eliminates the need for DevOps engineers to manage infrastructure. Code is run in response to events, with the infrastructure automatically scaled based on demand.

Relevant Applications:

• Running Backend Code Without Managing Servers: AWS Lambda allows DevOps engineers to run code for a function in response to an event (e.g., a file upload) without provisioning servers. For example, a file-processing service uses AWS Lambda to automatically process images uploaded by users, without needing dedicated server infrastructure.
• Reducing Operational Costs: With serverless computing, users only pay for the time their code runs, reducing unnecessary infrastructure costs. For example, a serverless application runs on AWS Lambda, handling occasional traffic spikes without the need for continuously running servers.
• Scalability with Minimal Overhead: Serverless computing automatically scales up or down based on the number of events, handling large traffic fluctuations without manual intervention. For example, a social media platform uses serverless functions to handle incoming requests based on user activity, automatically scaling resources up or down.

12. Collaboration Tools (Slack, Jira, Trello)

Effective communication is a crucial DevOps engineer skill to work closely with development, operations, and other teams. Collaboration tools like Slack, Jira, and Trello help coordinate tasks, manage projects, and keep teams aligned.

Relevant Applications:

• Managing Team Projects: Tools like Jira help track the progress of tasks and tickets, ensuring that everyone is aware of what’s being worked on and what needs attention. For example, a DevOps team uses Jira to track issues with deployments and ongoing work for infrastructure changes.
• Communicating with Team Members: Slack allows real-time communication between teams, enabling quick troubleshooting and decision-making. For example, a DevOps engineer uses Slack to notify the team of an outage and collaborates with developers to deploy a fix.
• Tracking Issues and Tasks: DevOps engineers use tools like Jira to track deployment pipelines and monitor progress, while Slack facilitates real-time incident response and team communication. Trello can also integrate with CI/CD systems to update task statuses automatically, keeping everyone aligned on infrastructure updates, server maintenance, or cloud service upgrades within the DevOps workflow.

Also Read: The Importance of Communication Skills in 2025: Key Types and 23 Tips to Master

13. Virtualization (VMware, VirtualBox)

Virtualization tools like VMware and VirtualBox enable DevOps engineers to create isolated environments for testing and development. These virtual environments mimic production systems, providing a controlled space for testing and experimentation.

Relevant Applications:

• Creating Isolated Development Environments: DevOps engineers use VirtualBox to set up virtual machines (VMs) for testing different software configurations. For example, a development team uses VMware to set up isolated environments for testing the application across different OS versions before deployment.
• Testing Software in Different Configurations: Virtualization allows DevOps engineers to test software under various network configurations without risking the production environment. For example, a cloud service provider uses VMware to simulate network failures during testing to ensure application resilience.
• Managing Virtual Machines for Scalability: Virtualization tools help manage multiple VMs for testing new features or scaling development environments. For example, an e-commerce company uses virtual machines to simulate large traffic volumes during Black Friday sales and tests server performance.

14. API Management

APIs are critical for enabling integration between systems, and DevOps engineers must manage APIs to ensure they are secure, scalable, and efficient.

Relevant Applications:

• Developing and Managing APIs: DevOps engineers set up and manage API gateways to route traffic to different services and ensure scalability. For example, a payment gateway uses an API to process transactions, and the DevOps engineer ensures that it scales as traffic increases.
• Ensuring API Security and Scalability: By using API management tools, engineers secure APIs against unauthorized access while scaling them to meet demand. For example, an e-commerce platform uses OAuth tokens to secure its APIs, and DevOps engineers ensure API rate limits are in place to prevent misuse.
• Monitoring API Usage and Performance: Tools like Prometheus track API performance, and logs from the ELK Stack ensure any API-related issues are caught early. For example, a SaaS provider uses Kong to manage API traffic and Prometheus to monitor response times for any delays.

Also Read: Understanding Storage Virtualization: How It Works, Benefits, and Challenges

15. Disaster Recovery & Backup Strategies

Disaster recovery and backup strategies are critical to ensuring business continuity in case of failure. DevOps engineers design robust recovery plans to minimize downtime and ensure quick service restoration.

Relevant Applications:

• Designing Disaster Recovery Plans: DevOps engineers use automated backup strategies and multi-region deployment to ensure that applications remain available during failure. For example, an online banking service uses AWS cross-region replication to back up critical data and ensures that services are restored within minutes if one region fails.
• Ensuring High Availability: High availability setups are critical to ensuring continuous service operation even in the event of a failure. For example, a health application implements multi-AZ (availability zone) setups in AWS to ensure users can access the platform even if one zone experiences downtime.
• Restoring Systems After a Failure: DevOps engineers create scripts to restore services and data, minimizing data loss during failures. For example, an e-commerce platform uses automated scripts to restore its MySQL database from backups, ensuring that customer data is not lost after an outage.

upGrad’s Exclusive Software and Tech Webinar for you –

SAAS Business – What is So Different?

These were the technical DevOps engineer skills. Now, let’s move towards the soft skills required for DevOps engineers to become indispensable to employers. 

Soft Skills Required for DevOps Engineers

DevOps engineers need strong communication, problem-solving, and teamwork abilities to work effectively with cross-functional teams. They must also manage multiple tasks, adapt to changing requirements, and maintain composure under pressure. Soft skills like leadership, conflict resolution, and emotional intelligence help engineers navigate challenges, foster collaboration, and ensure smooth and reliable software delivery.

1. Communication Skills

Clear communication is essential for DevOps engineers who collaborate with developers, IT operations, and stakeholders. They must explain complex technical details clearly, whether writing post-mortems after incidents, documenting CI/CD pipelines for team reference, or managing asynchronous handovers across time zones.

Relevant Applications:

• Working with Teams: During complex deployments, a DevOps engineer clearly outlines rollout plans and documents pipeline changes, ensuring smooth coordination between teams and reducing misunderstandings in global, distributed environments.

2. Problem-Solving Skills

DevOps engineers often encounter issues like system downtimes, integration problems, and deployment failures. Their ability to quickly identify the root cause of issues and implement effective solutions is crucial for maintaining system reliability and performance.

Relevant Applications:

• Troubleshooting Issues: When a critical application goes down, the DevOps engineer quickly diagnoses the issue, finds the root cause (e.g., server overload), and implements a fix, minimizing downtime and restoring functionality.

3. Time Management

DevOps engineers often juggle multiple tasks, such as system monitoring, troubleshooting, and handling deployments. Effective time management helps them prioritize tasks and ensure deadlines are met.

Relevant Applications:

• Managing Projects: A DevOps engineer uses effective time management to balance ongoing system monitoring tasks while also meeting tight deadlines for a critical software update, ensuring both tasks are completed without delays.

4. Adaptability

The DevOps field is constantly evolving, with new tools, technologies, and best practices emerging regularly. Engineers must be adaptable and open to learning new skills and adjusting to the organization's evolving needs.

Relevant Applications:

• Embracing New Technologies: A DevOps engineer quickly learns and implements a new cloud service provider (like AWS to Azure) to improve scalability, adjusting the deployment pipeline to accommodate the change seamlessly.

5. Teamwork and Collaboration

DevOps engineers work closely with development, IT operations, SREs, and business stakeholders. Strong collaboration skills help navigate complex workflows like sprint planning, conducting incident retrospectives, and coordinating infrastructure scaling decisions with SRE teams.

Relevant Applications:

• Collaborating on Deployment: During a system update, a DevOps engineer partners with developers during sprint planning to align goals, joins incident retrospectives to improve processes, and collaborates with SREs to manage infrastructure scaling effectively, ensuring smooth deployments and reliable systems.

Also Read: Hard Skills vs Soft Skills: Key Differences Explained

6. Leadership and Mentorship

Experienced DevOps engineers often take on leadership roles, mentoring junior engineers and guiding teams through complex deployments. Leadership skills are essential for driving successful projects and ensuring the growth of team members.

Relevant Applications:

• Mentoring Junior Engineers: An experienced DevOps engineer mentors a junior engineer by guiding them through troubleshooting a deployment issue, explaining the tools and processes involved in resolving the problem.

7. Critical Thinking

Critical thinking enables DevOps engineers to analyze situations, consider various options, and make informed decisions. It is especially important when tackling complex problems or making key infrastructure decisions.

Relevant Applications:

• Troubleshooting Complex Issues: When the team faces a slow application, the DevOps engineer applies critical thinking to analyze system logs, identify the performance bottleneck, and devise an optimal solution for performance improvement.

8. Conflict Resolution

Conflicts may arise in high-pressure environments, especially when troubleshooting production issues. DevOps engineers must resolve disputes swiftly and professionally to maintain team productivity and morale.

Relevant Applications:

• Managing Technical Disagreements: When team members disagree on whether to use a microservices architecture or a monolithic approach, the DevOps engineer mediates the discussion, highlighting the pros and cons of each solution to help the team reach a consensus using conflict management skills.

9. Attention to Detail

The smallest error can cause significant disruptions in a production environment. DevOps engineers must be detail-oriented to catch potential issues before they escalate into bigger problems.

Relevant Applications:

• Reviewing Code and Configurations: Before deploying an update, the DevOps engineer meticulously checks configuration files and scripts to ensure there are no errors that could disrupt the system, preventing issues post-deployment.

10. Emotional Intelligence

Emotional intelligence (EQ) is critical for managing relationships with colleagues, especially in high-pressure situations. DevOps engineers with strong EQ can handle stress, empathize with others, and contribute to a positive team environment.

Relevant Applications:

• Maintaining Composure During Crises: During a major system outage, the DevOps engineer stays calm, managing the team's stress while leading the effort to resolve the issue, ensuring effective communication and support throughout the process.

Now comes the question of acquiring and improving the soft skills and technical skills required for DevOps engineers. Let’s understand how. 

How to Enhance Your DevOps Engineer Skills 

To stay competitive and succeed as a DevOps engineer, continuous learning and development are key. Given the ever-changing landscape of DevOps technologies and practices, here are several ways to enhance your DevOps engineer skills and stay at the top of your game:

1. Stay Updated

DevOps is a rapidly evolving field, with new tools and technologies emerging regularly. Track innovations like GitOps for infrastructure management and AI-powered CI/CD tools that automate testing and deployment. Follow niche sources like the GitOps Working Group or Cloud Native Computing Foundation updates to catch these early.

2. Get Hands-On Experience

The best way to learn DevOps is by doing. Set up your own lab environment to try your hand at various tools and workflows. Go beyond basic Docker and Kubernetes to experiment with building self-service developer platforms or integrating Terraform with GitOps workflows. This practical focus preps you for evolving demands in automation and scalability.

Also Read: Leadership in the AI Era: A Comprehensive Guide for Business Leaders

3. Join DevOps Communities

Being part of DevOps engineer communities, whether online or in person, helps you network with other professionals, exchange ideas, and learn from others’ experiences. Engage with groups like DevOpsDays or CNCF Slack channels that focus on tool sprawl, cloud cost management, and incident response automation. These forums offer actionable insights, not just theory.

4. Seek Certifications

Certifications from platforms like AWS, Docker, Jenkins, or Kubernetes can provide a solid foundation of credibility and demonstrate your proficiency in key DevOps tools. Certifications like Certified Kubernetes Administrator (CKA) or HashiCorp Terraform Associate validate skills that matter most today, showing employers you’re ready to manage complex, cloud-native environments.

5. Collaborate with Developers

Collaboration between DevOps engineers and developers is crucial for streamlining deployment processes. Participate actively in sprint planning and incident retrospectives, focusing on reducing deployment friction and scaling infrastructure responsibly. This cross-team engagement sharpens your platform mindset.

6. Focus on Soft Skills

DevOps isn't just about technical skills; soft skills like communication, teamwork, and leadership are just as important. With teams often distributed globally, excel at clear asynchronous communication, such as document pipelines, write actionable post-mortems, and lead virtual incident reviews to keep workflows smooth.

Also Read: Workplace Communication: Key Types, Methods, and Its Importance

Level Up Your DevOps Engineer Skills with upGrad!

To stand out as a DevOps engineer and grow strategically, go beyond the basics with challenging projects that sharpen problem-solving and teamwork. Build a network for fresh insights and accountability. Earn certifications that match today’s demands, but also sharpen communication and leadership skills. Success comes from blending ongoing learning, hands-on experience, and strong collaboration.

However, many find it tough to navigate this path alone; balancing evolving technical skills with essential soft skills can feel overwhelming. That’s where upGrad offers a clear solution. Our curated programs provide hands-on learning, expert mentorship, and a community designed to help you master the full spectrum of DevOps engineer skills, preparing you to meet the demands of today’s competitive tech landscape.

Ready to upskill? Explore top DevOps courses and fast-track your career today:

• Fundamentals of Cloud Computing
• Data Structures & Algorithms
• Fundamentals of Cybersecurity

Unsure about which DevOps engineer skills to focus on or which course best fits your career goals? Get personalized counseling from upGrad’s expert advisors today   to guide you every step of the way.  You can also visit your nearest upGrad offline center to get in person insights and clear the path to your dream tech career with confidence.

Boost your career with our popular Software Engineering courses, offering hands-on training and expert guidance to turn you into a skilled software developer.

Explore our Popular Software Engineering Courses

References:
https://www.nucamp.co/blog/coding-bootcamp-india-ind-getting-a-job-in-tech-in-india-in-2025-the-complete-guide
https://news.outsourceaccelerator.com/indian-it-job-market-growth-by-2025/