AWS DevOps Engineer

Primary Skills : AWS, Site Reliability Engineering (SRE), Control Systems, EKS

Details:

• Experience / working knowledge with configuring, deploying, and operating public cloud services (Azure, AWS, GCP)
• Knowledge of best practices related to security, performance, high-availability, and disaster recovery.
• Demonstrate a proven record of handling production issues, planning escalation procedures, conducting post-mortems, impact analysis, risk assessments and other related procedures.
• In-depth experience with continuous integration and continuous deployment pipelines
• Blend of both Development and SRE mindset (i. e. software and infrastructure)
• Experience with APM solutions, multi cloud monitoring solutions (Zabbix, graphana, cloudwatch, cloud logging, Network performance monitoring etc)
• Familiarity with network and security features e. g. cloud network topology, BGP, routing, TCP/IP, DNS, SMTP, HTTPS, Security, Guardrails etc.
• Skilled in identifying performance bottlenecks, identifying anomalous system behavior, and determining the root cause of incidents.
• Expertise in infrastructure as code (e. g. , cloud formation, ARM, Terraform, Ansible, Chef, Puppet)
• High availability engineering experience (region, availability zone, data replication clustering)
• Awareness in open source tools & scripting language (e. g. Python, powershell, Shell)
• Deep understanding of software development lifecycles and cloud economics, incl. knowledge of consumption-driven TCO
• Understanding of network architectures suitable for different cloud topologies with familiarity with user expectations / OLAs for cloud services
• Good knowledge of security implications of public & private cloud infra design
• Experience on firewall like paloalto, Fortinet, waf, cisco routers and proxy devices
• Good understanding and knowledge on Container platforms eg Docker, Kubernetes, EKS, GKE, Anthos, Openshift etc
• Product development in a scaled agile environment with awareness of DevOps methodologies and ability/mindset to drive rapid prototyping and piloting of cloud solutions
• Azure, AWS, and GCP certifications preferred.
• Basic Database experience, including knowledge of SQL and NoSQL, and related data stores such as Postgres.
• Procedural and troubleshooting documentation skills
• Good communication and collaboration skills.

Client management skills.

• Specific Kubernetes experience, such as experience with deploying and managing Kubernetes clusters, using Kubernetes networking and storage, and using Kubernetes automation tools.
• Experience with other cloud platforms, such as AWS and Azure, can be a plus, as it demonstrates the candidates ability to learn new technologies and adapt to new environments.
• Strong understanding of networking, security, and scalability is essential for designing and managing scalable and secure infrastructure solutions.
• Experience with automation tools is essential for automating infrastructure provisioning and deployment, which can save time and improve efficiency.
• Excellent problem-solving and analytical skills are essential for identifying and solving problems with infrastructure solutions.
• Design and build a scalable and secure Kubernetes cluster for a large-scale web application.
• Automate the provisioning and deployment of Kubernetes clusters using Terraform.
• Monitor and optimize the performance of a Kubernetes cluster.
• Troubleshoot problems with Kubernetes clusters.
• Stay up to date on the latest Kubernetes technologies.
• The ideal candidate will have a deep understanding of the Google Cloud Platform (GCP) ecosystem and how to use it to build scalable and secure infrastructure solutions.
• They will also have a strong understanding of Kubernetes, including its architecture, concepts, and best practices.
• Experience with GCP services such as Compute Engine, Kubernetes Engine, Cloud Storage, and Cloud Networking.
• Experience with Kubernetes concepts such as pods, services, and deployments.
• Experience with automation tools such as Terraform, Ansible, and Chef.
• Experience with cloud security best practices.
• Experience with troubleshooting and debugging Kubernetes problems.
• Ability to work independently and as part of a team ready to work in 24x7 shift.

Eks, Control System, Aws Devops, Sre - Site Reliability