Sr DevOps Engineer

As a Senior DevOps Engineer at Bird, you will be responsible for designing and maintaining the infrastructure that supports our applications. This includes optimizing CI/CD pipelines, architecting scalable systems on AWS, and ensuring high availability and fault tolerance using tools like Kubernetes and Terraform. Collaboration with cross-functional teams is essential as you guide implementation strategies and address any operational gaps.

To qualify for the Senior DevOps Engineer role at Bird, candidates should have a Bachelor's degree or equivalent experience in a STEM field, along with over six years of relevant professional experience. Additionally, proficiency in AWS services, experience with Kubernetes and CI/CD pipelines, and knowledge of programming paradigms are essential. Experience in big data infrastructures and real-time streaming systems is highly desirable.

Bird fosters a culture of inclusion and diversity, promoting an environment where every team member feels valued and can voice their opinions. As a Senior DevOps Engineer, you will be part of a collaborative, open-minded team that is passionate about innovation and sustainability. The work atmosphere encourages professional growth and aims to empower each individual to contribute to our mission effectively.

In the Senior DevOps Engineer position at Bird, you will work with a variety of tools and technologies such as AWS services (EKS, EC2, etc.), Kubernetes, Terraform, Vault, and CI/CD tools like Jenkins and GitHub Actions. Familiarity with big data technologies and object-oriented programming languages like Kotlin and Java will also be beneficial in this role.

Yes, at Bird, we embrace flexible working arrangements. The Senior DevOps Engineer role is designed for individuals located on the West Coast, operating within the PST timezone. We encourage work-from-home options and offer benefits that support a balanced work life.

When designing a fault-tolerant system, I would start by identifying critical components and potential points of failure. Utilizing redundant systems, implementing load balancing, and leveraging cloud services like AWS can enhance resilience. I would also incorporate automated monitoring and recovery processes to quickly address any issues that arise, ensuring system stability.

In my previous roles, I have extensively used Kubernetes for orchestration of containerized applications. I have set up Kubernetes clusters, defined resource configurations, and managed deployments using Helm charts. I also implemented monitoring with tools like Datadog to ensure optimal performance and reliability of services.

Optimizing a CI/CD pipeline involves streamlining build, test, and deployment processes. I focus on automating repetitive tasks, using parallel processing to speed up builds, and employing techniques like feature toggles to release new features safely. Regularly reviewing and refining the pipeline helps in identifying bottlenecks and enhancing efficiency.

I have substantial experience with AWS, utilizing services such as EC2 for computing, RDS for databases, and S3 for storage. Additionally, I have worked with EKS for managing Kubernetes, VPCs for networking, and Route53 for DNS management. My hands-on experience allows me to effectively architect solutions that leverage AWS services for scalability and reliability.

I have utilized a range of monitoring tools including Datadog and Prometheus. These tools enable real-time insights into system performance, application health, and resource utilization. By setting up dashboards and alerts, I can proactively identify issues and optimize system performance.

Infrastructure as Code (IaC) is an approach to managing and provisioning computing infrastructure through machine-readable definition files. Using tools like Terraform, I can create, update, and manage infrastructure resources, ensuring consistency and reducing human error. IaC enhances deployment speed and allows for easy replication of environments.

In the event of a system outage, I prioritize diagnosing the issue by analyzing logs and monitoring metrics. I ensure communication with stakeholders while working on a resolution. Post-incident, conducting a thorough analysis and retrospective is crucial to prevent future occurrences, enhancing our incident response strategy.

I have strong proficiency in Object-Oriented Programming (OOP) principles, particularly in JVM languages like Java and Kotlin. My experience includes designing and implementing scalable applications, utilizing OOP to enhance maintainability and modularity. I emphasize writing clean, efficient code and applying design patterns where appropriate.

When working on a new tech stack, I begin by conducting thorough research on its components and best practices. I set up small proof-of-concept projects to experiment with functionalities. Collaborating with peers and utilizing community resources further aids in mastering the stack while ensuring the solution aligns with our project requirements.

I believe in fostering a supportive and inclusive environment that values each team member's input. Regular stand-up meetings, collaboration tools, and open forums for discussion encourage knowledge sharing. I also advocate for pair programming and collaborative coding sessions to strengthen team dynamics and enhance collective problem-solving.