DevOps Engineer - Clearance Required!

A DevOps Engineer at Praxis Engineering focuses on deploying critical customer solutions, which may include both web applications and enterprise applications. This involves optimizing deployments, developing new capabilities, and collaborating with teams to deliver technical expertise and solutions that align with mission objectives.

To qualify for the DevOps Engineer position at Praxis Engineering, candidates typically need a Bachelor’s degree in Engineering or Computer Science, or equivalent experience. Additionally, you should have practical experience with Linux, AWS services, and DevSecOps best practices, alongside a strong foundation in scripting and configuration management.

Yes, there is a possibility of remote work for the DevOps Engineer role at Praxis Engineering. However, this flexibility is granted on a case-by-case basis depending on mission requirements, ensuring that team collaboration remains effective.

At Praxis Engineering, a DevOps Engineer should be familiar with a variety of technologies including AWS services like EC2 and RDS, container orchestration platforms like Kubernetes, infrastructure automation tools such as CloudFormation, Chef, Puppet, and Terraform, and programming/scripting languages such as Java, Python, and PowerShell.

In the DevOps Engineer position at Praxis Engineering, you will work on projects that involve the deployment of key customer solutions, focusing on web and enterprise applications. This may include proof-of-concept implementations and optimizing deployment strategies using a mix of COTS, open-source tools, and custom microservices.

The salary range for the DevOps Engineer position at Praxis Engineering starts from $121,739.00 and can go up to $247,262.00 annually. This range reflects the level of experience and expertise required, particularly for those with a Bachelor’s degree and eight years of relevant experience.

An active TS/SCI security clearance with a suitable polygraph is required to be considered for the DevOps Engineer role at Praxis Engineering. This is vital due to the sensitive nature of the projects and the work environment.

Certainly! In discussing my experience with AWS services, I would highlight specific projects where I've utilized services like EC2 for computing power, RDS for database management, and S3 for storage. It's important to convey not just familiarity, but practical applications and outcomes that resulted from these services.

Applying DevSecOps principles means integrating security at every stage of development. In my work, I make sure to incorporate automated security testing throughout the CI/CD pipeline, perform regular security audits, and use infrastructure as code to maintain compliance and security standards.

In a previous project, I encountered significant challenges deploying a microservices architecture due to configuration complexities. Through troubleshooting and refining our automation scripts, we improved deployment efficiency by 30%. This taught me the importance of adaptability and continuous learning in the DevOps field.

My approach to automation in DevOps involves identifying repetitive tasks, evaluating tools that can enhance efficiency, and scripting these processes. I prioritize continuous integration and delivery pipelines to automate testing and deployment, which allows for rapid feedback loops and quicker iteration.

I have extensive experience with Docker and Kubernetes, where I've used them to build, manage, and orchestrate containers. For instance, I managed a Kubernetes cluster to optimize application scaling, which improved our service availability during peak loads.

Effective collaboration is key in DevOps. I promote open communication by using tools like Slack and Jira for real-time updates. Regular sync meetings help us align on project goals, and I always encourage input from team members to foster a collective ownership of our outcomes.

I utilize tools like Ansible, Chef, and Puppet for configuration management, depending on the project requirements. For example, I primarily use Ansible for automating server setup and maintenance due to its agentless architecture, which simplifies management and deployment.

My preferred monitoring solutions include Prometheus and Grafana, as they provide robust metrics gathering and visualization capabilities. I believe in proactive monitoring to detect anomalies before they impact users, and implementing alerts for critical thresholds ensures quick responses to any issues.

To ensure high availability, I implement load balancing, use redundancy, and leverage auto-scaling features in cloud environments. Regular performance testing and disaster recovery planning are also essential to mitigate any potential downtime.

Documentation in DevOps is vital for knowledge sharing and consistency. It serves as a reference for current and future team members, allowing them to understand processes and configurations quickly, thus minimizing onboarding time and reducing the risk of errors.