Data & Cyber Security

Job Description

What we are looking:

– Excellent dealing with high-availability, fault-tolerant, scalable, resilient and distributed systems.

– Expert working at AWS cloud computing infrastructure and its components.

– Hands-on with containerization, container & cluster management – Kubernetes, Docker, EKS etc.

– Hands-on experience with configuration management tools (Ansible, Terraform etc)

– Proven and Hands-on experience in handling large scale infrastructure like Package management, EC2, SQS, S3, MongoDB and Distributed systems like Kafka, Yarn, Elastic Search etc..

– Familiarity with container orchestration tools (K8’s, ECS, swarm) build, artifacts, packaging, service discovery management tools.

– Good at any of the following languages – Python, Java, Go.

– Source code management and Implementation of security best practices.

– Good at analysing App bottlenecks, performance degradation and implementing automated process/tools to detect such anomalies.

Responsibilities :

– Design, architect and implement best in class CI/CD pipelines

– Accountable for infrastructure design, Automation, stability, resilience, performance, monitoring, security, and implementation of right practices.

– Build and manage infrastructure as a code and experience with Terraform

– Collaborate with engineering teams to improve the development/production environment.

– Containerizing and orchestrating with K8S and driving the micro-services adoption across multiple engineering functions.

– Owning/Building functional KPIs for services, incident, and infrastructure metrics.

– Identify and track metrics such as MTTR (mean time to recovery, repair, respond or resolve) in order to exceed SLA expectations

– Build services and Maintain once they are online by measuring and monitoring availability, latency and overall system reliability.

– Building solutions and Monitoring at scale with Prometheus and TICK stack.

– Participate in Defining cloud data strategy, including designing multi-phased implementation roadmaps

What we are looking:

– Excellent dealing with high-availability, fault-tolerant, scalable, resilient and distributed systems.

– Expert working at AWS cloud computing infrastructure and its components.

– Hands-on with containerization, container & cluster management – Kubernetes, Docker, EKS etc.

– Hands-on experience with configuration management tools (Ansible, Terraform etc)

– Proven and Hands-on experience in handling large scale infrastructure like Package management, EC2, SQS, S3, MongoDB and Distributed systems like Kafka, Yarn, Elastic Search etc..

– Familiarity with container orchestration tools (K8’s, ECS, swarm) build, artifacts, packaging, service discovery management tools.

– Good at any of the following languages – Python, Java, Go.

– Source code management and Implementation of security best practices.

– Good at analysing App bottlenecks, performance degradation and implementing automated process/tools to detect such anomalies.

Responsibilities :

– Design, architect and implement best in class CI/CD pipelines

– Accountable for infrastructure design, Automation, stability, resilience, performance, monitoring, security, and implementation of right practices.

– Build and manage infrastructure as a code and experience with Terraform

– Collaborate with engineering teams to improve the development/production environment.

– Containerizing and orchestrating with K8S and driving the micro-services adoption across multiple engineering functions.

– Owning/Building functional KPIs for services, incident, and infrastructure metrics.

– Identify and track metrics such as MTTR (mean time to recovery, repair, respond or resolve) in order to exceed SLA expectations

– Build services and Maintain once they are online by measuring and monitoring availability, latency and overall system reliability.

– Building solutions and Monitoring at scale with Prometheus and TICK stack.

– Participate in Defining cloud data strategy, including designing multi-phased implementation roadmaps