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OpsNexa Project Manager
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Why Choose Us
Build world-class remote development teams quickly that scale with your needs.
Abhishek Sharma
GCP Expert
Fastest Time-to-Deployment Specialist
Experience:
5+ years
Availability:
Full-time
Expert:
GCP
----Expert----
React.js, Angular, Laravel End - End Development
Rajesh Singh
CI/CD Expert
Fastest Time-to-Deployment Specialist
Experience:
7 years
Availability:
Full-time
Expert:
AWS, Azure
----Expert----
React.js, Angular, Laravel End - End Development
Oliver Scott
Azure Expert
Fastest Time-to-Deployment Specialist
Experience:
4+ years
Availability:
Part-time
Expert:
Azure, .Net
----Expert----
React.js, Angular, Laravel End - End Development
Ethan Miller
Gen AI Expert
Fastest Time-to-Deployment Specialist
Experience:
6 years
Availability:
Full-time
Expert:
AWS, Node.js, Python
----Expert----
React.js, Angular, Laravel End - End Development
Thanh Liam
Data expert
Fastest Time-to-Deployment Specialist
Experience:
3+ years
Availability:
Full-time
Expert:
Azure, AWS
----Expert----
React.js, Angular, Laravel End - End Development
Benjamin Davis
DevOps Engineer
Fastest Time-to-Deployment Specialist
Experience:
10 years
Availability:
Full-time
Expert:
DevOps & Cloud
----Expert----
React.js, Angular, Laravel End - End Development
Chris Anderson
AWS Expert
Fastest Time-to-Deployment Specialist
Experience:
2.5 years
Availability:
Project-based
Expert:
AWS
----Expert----
React.js, Angular, Laravel End - End Development
Daniel Brooks
Gen AI Expert
Fastest Time-to-Deployment Specialist
Experience:
8 years
Availability:
Full-time
Expert:
AWS, Azure, Python
----Expert----
React.js, Angular, Laravel End - End Development
Hire the Top 1% of DevOps Engineers
Elite DevOps talent to scale your infrastructure, fast and reliably.
No matter your tech stack, we’ve got you covered.
Access OpsNexa's talent pool of DevOps engineers with technical expertise in libraries, APIs, platforms, frameworks, and databases.
Frameworks
Terraform | AWS CloudFormation | Azure Bicep | Jenkins | GitHub Actions | GitLab CI/CD | AWS SAM, Serverless Framework | Azure Functions | Google Cloud Functions
APIS
Amazon Web Services (AWS) | Google Cloud Platform (GCP) | Linux | Docker | Heroku | Firebase | Digital Ocean | Oracle | Kubernetes | Dapr | Azure | AWS Lambda | Redux
Databases
MongoDB | PostgreSQL MySQL | Redis SQLite | MariaDB | Microsoft SQL Server
Frequently Asked Questions
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Tips for Hiring DevOps Engineers
DevOps engineers are crucial for streamlining software development and operations. They are vital in automating and integrating processes between software development and IT teams, establishing rapid, reliable, and efficient delivery of high-quality software. Their expertise in continuous integration (CI) and delivery, infrastructure management, and collaboration enhances a company’s ability to adapt to market changes and innovate rapidly.
Finding skilled DevOps engineers is challenging due to high demand. Companies need a focused hiring approach to identify these experts who can significantly contribute to operational efficiency and technological advancement. This makes DevOps engineers highly sought after for their ability to drive business agility and technological resilience.
What Is DevOps Development?
DevOps development involves introducing DevOps tools, methodologies, and processes to a software development and IT company.
A combination of software development (dev) and operations (ops), DevOps is a software engineering and IT methodology that integrates and automates the work of IT operations and software development to shorten and improve the software development lifecycle (SDLC). It builds on top of Lean, Agile, and systems theory and focuses on rapid delivery and incremental software development. Success relies on collaboration, the developers’ ability to hold each other accountable, joint responsibility for product outcomes, and empathy.
DevOps can be used for a wide range of IT projects, including:
- Automating cloud infrastructure
- Helping development teams deliver software into customers’ hands as quickly and reliably as possible
- Addressing software and systems vulnerabilities
- Setting up continuous delivery (CD) and CI pipelines
Why DevOps Engineering?
DevOps engineering is essential for modern businesses as it integrates development and operations, streamlining the SDLC. This methodology enhances collaboration, improves product quality, and accelerates release cycles. Its application within a business leads to more reliable and frequent updates, directly impacting customer satisfaction and business agility.
With DevOps, companies can rapidly adapt to market changes, innovate efficiently, and maintain a competitive edge. This continuous delivery model is invaluable in today’s fast-paced tech environment, where staying ahead often depends on deploying high-quality software quickly and efficiently.
Benefits of DevOps Engineering
DevOps engineering is known for promoting faster software development—without sacrificing quality. Key benefits include:
- CI/CD: DevOps streamlines workflows, enabling frequent code updates and deployment. This reduces products’ time-to-market.
- Automated testing and deployment: Automation in DevOps minimizes human errors, improves accuracy, and speeds up testing and deployment processes.
- Enhanced collaboration: DevOps engineering fosters effective communication and collaboration between development and operations teams by integrating their workflows, encouraging continuous feedback, and aligning their goals toward efficient software delivery.
- Infrastructure as Code (IaC): DevOps uses IaC for consistent and fast environment setup, enhancing scalability and flexibility.
These features make DevOps crucial for startups and tech companies, driving faster innovation and robust software solutions.
What Does a DevOps Engineer Do?
A DevOps engineer is pivotal in bridging the gap between software development and IT operations. They focus on streamlining the software development lifecycle, from planning and building to testing and deployment. Their work allows for a smoother, faster, and more efficient delivery of software, making them integral to any tech-driven organization.
DevOps engineer roles vary depending on the company and project, but most are responsible for the following tasks:
- Creating new development infrastructure and tools
- Evaluating current processes and systems and developing ways to improve them
- Working with developers and other team members to oversee code releases
- Creating specification documents
- Understanding and translating stakeholders’ needs into code
- Testing and examining code written by others
- Planning projects and becoming involved in project management
- Spotting technical problems and developing fixes
Required Skills and Qualifications
Top candidates for DevOps engineering should possess a mix of soft, hard, and technical skills. Technical proficiency in tools like Docker and Kubernetes is vital for orchestration and containerization. Experience with AWS or Azure for cloud services, alongside configuration management tools like Ansible or Puppet, is essential. Scripting skills in languages like Python or Ruby and familiarity with infrastructure as code using Terraform enhance a candidate’s profile.
Soft skills such as problem-solving, effective communication, and collaborative abilities are crucial. Candidates should be able to work across various teams, translating technical needs into effective solutions.
Regarding qualifications, a background in computer science or a related field is often required, along with certifications in tools like AWS, Azure, or Kubernetes, depending on the company’s tech stack. Hands-on experience with CI/CD tools like Jenkins and a strong understanding of Linux systems are also important.
Popular DevOps-Related Languages and Libraries
In DevOps, programming languages like Python, Ruby, and Shell Scripting are crucial for efficient system management and automating tasks. Python excels in automation and infrastructure management, Ruby is useful for building and managing complex applications, and Shell Scripting is key for Linux systems and automating repetitive tasks. Libraries like Libcloud, Boto3, and Fabric also play significant roles in cloud infrastructure management and system automation within DevOps practices.
Related Languages
A comprehensive understanding of specific programming languages is critical for efficient system management and automation in DevOps. Mastery of these elements is vital in creating robust and scalable infrastructure solutions, ensuring smooth deployment processes, and maintaining system reliability. Three popular programming languages DevOps engineers use include:
- Python: Versatile and easy to use, Python is a staple in automation, scripting, and infrastructure management tasks in DevOps.
- Ruby: Known for its simplicity and efficiency, Ruby is often used in DevOps for building and managing complex applications, especially with tools like Puppet and Chef.
- Shell Scripting (Bash): Essential for Linux-based systems, shell scripting is fundamental for automating repetitive tasks and managing system-level operations in DevOps environments.
Related Libraries
DevOps focuses more on tools and platforms that aid in applications’ automation, deployment, and scaling. However, some libraries or modules that are often used in DevOps-related scripting and automation include:
- Libcloud: A Python library for interacting with various cloud service providers, aiding in automating cloud infrastructure tasks.
- Boto3: The Amazon Web Services (AWS) SDK for Python, allowing for the creation, configuration, and management of AWS services.
- Fabric: A Python library designed to execute shell commands remotely over SSH, streamlining the deployment and system administration tasks.
Engineers use these libraries in scripting and automation tasks, crucial components of DevOps practices.
Popular DevOps Programming Tools
In DevOps, programming languages like Python, Ruby, and Shell Scripting are crucial for efficient system management and automating tasks. Python excels in automation and infrastructure management, Ruby is useful for building and managing complex applications, and Shell Scripting is key for Linux systems and automating repetitive tasks. Libraries like Libcloud, Boto3, and Fabric also play significant roles in cloud infrastructure management and system automation within DevOps practices.
