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Senior DevOps Engineer
2 months ago
We are seeking a highly skilled Senior DevOps Engineer to join our team at ENODA. As a key member of our engineering team, you will play a critical role in developing and deploying our next-generation software solutions.
Key Responsibilities- Design and Implement Automation Pipelines: Develop and deploy automation pipelines for secure software delivery to the edge, adhering to CI/CD best practices and standards.
- Collaborate with Development Teams: Work closely with development teams to optimize application performance, reliability, and observability on the edge, utilizing cloud (GCP) and relevant edge computing platforms.
- Implement Service Level Objectives (SLOs): Implement and enforce SLOs and Error Budgets specifically tailored for edge deployments, ensuring a balance between reliability and feature development.
- Ensure Security Compliance: Collaborate with security teams to ensure compliance with policies and implement necessary controls for edge environments throughout the software development lifecycle.
- Stay Up-to-Date with Industry Trends: Stay updated with industry trends and best practices in edge computing, SRE, cloud (GCP), and related technologies, contributing to process and infrastructure enhancements for edge deployments.
- Provide Technical Guidance: Provide technical guidance and mentorship to junior team members, fostering a collaborative and knowledge-sharing culture around edge computing.
- Collaborate with Cross-Functional Teams: Work effectively with cross-functional teams, including development, operations, security, and business stakeholders, to align on priorities and deliver optimal edge solutions.
- Document Edge Deployment Solutions: Thoroughly document edge deployment solutions to ensure maintainability and knowledge transfer.
- Bachelor's Degree in Computer Science: Bachelor's degree in Computer Science, a related field, or equivalent experience.
- Experience in Software Development: 3+ years of experience in software development, demonstrating a preference for writing robust and maintainable code.
- Proficiency in Automation Tools: Proficiency in Python, Bash, or other shell scripting for automation.
- Agile and DevOps Methodology: Fully conversant with Agile and DevOps development methodology and concepts as applied to data-driven analytics projects, including CI/CD coding, security testing best practice, and standards.
- Distributed Systems Experience: Experience with distributed systems and real-time monitoring of edge deployments in production environments.
- Excellent Communication Skills: Excellent communication and collaboration skills, with the ability to work both independently and as part of a team.
- Ability to Learn New Technologies: Eagerness to learn new technologies and collaborate with experts in various domains, particularly in edge computing.
- Independent Work Ability: The ability to work independently when required.
- Cloud Services Experience: Experience with cloud services like AWS, Azure, or Google Cloud Platform (GCP), specifically in relation to edge computing services.
- Containerization Technologies: Experience with containerization technologies such as Docker and Kubernetes, including in edge environments.
- Security Considerations: Deep understanding of security considerations specific to edge computing deployments throughout the software development lifecycle.
