DevOps Engineer
Endava
•Hybrid
About The Position
Seeking a highly skilled and experienced Senior DevOps Engineer to join our dynamic team. This role is pivotal in driving our DevOps initiatives, with a strong focus on using Terraform as a cloud automation tool. The ideal candidate will possess a deep understanding of cloud infrastructure, CI/CD pipelines, and best practices in DevOps.
Requirements
- Strong proficiency in Terraform for cloud automation and infrastructure management.
- Experience with cloud platforms (AWS, Azure, Google Cloud) and their services.
- Strong understanding and Implementation experience of containerization technologies (Docker, Kubernetes).
- Proficient in scripting languages (Python, Bash, etc.) for automation tasks.
- Experience with CI/CD tools (Jenkins, GitLab CI, CircleCI, etc.).
- Solid understanding of DevOps principles and methodologies.
- Experience with configuration management tools (Ansible, Puppet, Chef).
- Bachelor's degree in computer science, Information Technology, or a related field.
- 10+ years of experience in DevOps or related roles.
- Certifications in cloud platforms (AWS Certified Solutions Architect, Azure DevOps Engineer, etc.).
Responsibilities
- Design, implement, and manage scalable infrastructure using Terraform.
- Create and maintain reusable Terraform modules and templates to streamline deployment processes.
- Architect, Manage and optimize cloud resources across platforms such as AWS, Azure, or Google Cloud.
- Implement best practices for security, compliance, and cost management in cloud environments.
- Experience with serverless architectures and microservices.
- Familiarity with security practices in cloud environments.
- Build and maintain robust CI/CD pipelines to automate the deployment of applications and infrastructure.
- Collaborate with development teams to integrate automated testing and deployment strategies.
- Implement monitoring, logging, and alerting solutions for cloud infrastructure.
- Analyze performance metrics and make recommendations for improvements and optimization.
- Work with DevOps engineers, providing guidance, mentorship, and support.
- Foster a culture of collaboration, continuous improvement, and innovation within the team.
- Work closely with developers, QA, and other stakeholders to ensure seamless integration and deployment processes.
- Participate in architectural discussions and design reviews to promote best practices.
- Understanding of key concepts in artificial intelligence, machine learning, and deep learning, LLM, Generative AI, Neural networks etc.,
- Identify and resolve infrastructure issues in a timely manner.
- Provide on call support for production systems as needed.
Benefits
- Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus
- Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership
- Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences
- Hybrid work and flexible working hours, employee assistance programme
- Global internal wellbeing programme, access to wellbeing apps
- Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations
- Robust healthcare and benefits including Medical, Dental, vision, Disability coverage, and various other benefit options
- Flexible Spending Accounts (Medical, Transit, and Dependent Care)
- Employer Paid Life Insurance and AD&D Coverages
- Health Savings account paired with our low-cost High Deductible Medical Plan
- 401(k) Safe Harbor Retirement plan with employer match with immediately vest
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
