DevOps Engineer
Proven hands-on experience with deploying complex architectures using AWS services such as EC2, VPC, IAM, and S3
Good understanding/experience of cloud design practices around load balancing, autoscaling high availability, performance and disaster recovery
Infrastructure-as-Code practices using Terraform and/or CloudFormation (Mandatory and key requirement)
Automation/Configuration management tools such as Ansible, Chef & Puppet
Experience with setting up CI/CD pipelines
Developing in high level programming languages (preferably Python)
Experience of the Software Development Life Cycle (source control, testing, code review, etc)
Building and deploying containers
Basic networking knowledge and debugging skills
Experience of Agile/Scrum methodology
Ability to troubleshoot and debug complex issues
Essential functions
Designing and implementing new features and enhancements for continuous improvement of our cloud hosted solutions
Design and implement a scalable, highly available and secure platform
Building software and systems to manage platform infrastructure and applications
Continually be evaluating and improving our technology and processes to increase quality, decrease costs and improve time-to-market
Architectural improvements on existing platform and development of our cloud hosted solutions
Support the rapid delivery of prototypes and the creation of scalable products
Developing and documenting internal processes
Expert understanding of relevant technologies and ability to write optimized, scalable code.
Solves complex problems and helps others in debugging and resolving issues.
Seen as a code approver at a larger scale outside of scrum team.
Improves areas of the system they work on, leaves things better than they found them.
Qualifications
Kubernetes deployment and management
Cloud-native deployment technologies such as Helm
Experience with compliance standards (e.g. PCI-DSS, SOC2 or ISO27001:2103
Would be a plus
Attention to detail, excellence and quality.
A focus on personal achievement and responsibility.
Passion to learn new skills and technologies.
Ability to share knowledge
Enthusiasm and an open mindset.
Can-do attitude
A passion to work for one of the fastest growing fraud prevention technologies in the world
We offer
Opportunity to work on bleeding-edge projects
Work with a highly motivated and dedicated team
Competitive salary
Flexible schedule
Benefits package - medical insurance, sports
Corporate social events
Professional development opportunities
Well-equipped office
About us
Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.
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