Job Knowledge • Understanding of Service Reliability best practices • Have understanding and experience in Reliability Engineering covering cloud, server, storage, networks, virtualized environments, applications, databases and associated tool sets • Must be good at forecasting, statistical analysis and modeling. • Dev Ops Experience Technical & Professional • Good understanding of banking IT Infrastructure • Knowledge of industry accepted standards and best practices related to Reliability Engineering Principles • Good understanding of banking IT Infrastructure • Knowledge of industry accepted standards and best practices related to Reliability Engineering Principles • Have clear understanding in dynamic resource management frameworks, cloud, server, distributed storage, networks, virtualized environments, applications, databases and associated tool sets. • An understanding and practical experience with containerization frameworks • Knowledge on MicroServices Fundamentals & Patterns, • Understanding of monitoring/telemetry solutions for MicroServices , Custom Alerting Prior work experience required • 6 years experience as lead technical role in large enterprise wide projects • 4+ years in operations or software engineering or Reliability Engineering role. Essential Job Requirements include: • A bachelor's degree in Computer Engineering, Computer Science, Information Systems or other related field is highly preferred; however, equivalent work (6+ years) experience in Reliability Engineering will not be overlooked. • Ability work on a team as well as complete projects and tasks individually • Hands-on, self-starter with a positive attitude and strong work ethic • Analytical, collaborative, and written communication skills will be required • Passion for problem solving and strategic thinking and a desire to own and execute • Excellent experience working with banking services and distributed systems • Ability to communicate clearly and effectively to both technical peers and business customers • Ability to demonstrate strategic, data-driven thinking combined with efficient implementation • Passion for technology as well as helping customers and team members • A proactive approach to spotting problems, areas for improvement, and performance bottlenecks • Stay abreast of new technologies and practices to further enhance team capabilities and own skills • Ability to thrive in a fast-paced, rapid growth environment • Ability to learn business rules and processes • Passion for designing, building, and managing resilient applications and infrastructures • Must be highly detailed in their work, very influencing, engaging and people oriented. • Experience with project management or lead technical role in large enterprise wide projects. • Ability to work well under minimal supervision. • Extensive work experience with large sets of data and data analysis. • Effective communication, Team-oriented interpersonal skills, with the ability to interface effectively with a broad range of people and roles, including vendors, Senior IT leadership and business personnel • Previous success in technical engineering • Coding experience beyond simple scripts • Ability to program (structured and OO) with one or more high level languages • Agile Development Model Experience • Have clear understanding in dynamic resource management frameworks, cloud, server, distributed storage, networks, virtualized environments, applications, databases and associated tool sets. • An understanding and practical experience with containerization frameworks • Must be good at forecasting, statistical analysis and modeling are part of the job. • Java Spring Boot Experience • DevOps Experience/ Tools which helps to be a DevOps Engineer • AWS & AZURE • Cloud Transition Model – Waterfall/Agile - CI / CD DevOps /Dev Sec Ops • Chaos Testing Automation on the MicroServices • OPENSHIFT (PaaS Platform) • RHEL ,CENTOS & UBUNTU (OS) • VIRTUALBOX & VAGRANT (Virtualization) • DOCKER (Container RUNTIME Engine). • NGINX (Performing webserver for Containers) • Knowledge on ANSIBLE AUTOMATION • KUBERNETES (Container Orchestration), HELM (Kubernetes Package Management) • ENVOY & ISTIO (Service Mesh Data and Control Planes) • HARSHICORP (Securing Credentials) • Knowledge on MicroServices Fundamentals & Patterns, Monitoring the MicroServices , Custom Alerting • Understanding of monitoring/telemetry solutions (Icinga, ELK, AppDynamics) for data ingestion and analysis • PROMETHEUS (Container Infrastructure Monitoring), ELK (Log Monitoring), RUM (Real User Monitoring), GRAFANA Monitoring Dashboard Tool • Mongo DB, Postgres, Oracle • Experience with Atlassian suite of products