Job Description…
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.
ยท Ability work on a team as well as complete projects and
tasks individually
ยท Hands-on, self-starter with a positive attitude and strong
work ethic
ยท Analytical, collaborative, and written communication skills
will be required
ยท Passion for problem solving and strategic thinking and a
desire to own and execute
ยท Excellent experience working with banking services and
distributed systems
ยท Ability to communicate clearly and effectively to both
technical peers and business customers
ยท Ability to demonstrate strategic, data-driven thinking
combined with efficient implementation
ยท Passion for technology as well as helping customers and team
members
ยท A proactive approach to spotting problems, areas for
improvement, and performance bottlenecks
ยท Stay abreast of new technologies and practices to further
enhance team capabilities and own skills
ยท Ability to thrive in a fast-paced, rapid growth environment
ยท Ability to learn business rules and processes
ยท Passion for designing, building, and managing resilient
applications and infrastructures
ยท Must be highly detailed in their work, very influencing,
engaging and people oriented.
ยท Experience with project management or lead technical role in
large enterprise wide projects.
ยท Ability to work well under minimal supervision.
ยท Extensive work experience with large sets of data and data
analysis.
ยท 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
ยท Previous success in technical engineering
ยท Coding experience beyond simple scripts
ยท Ability to program (structured and OO) with one or more high
level languages
ยท Agile Development Model Experience
ยท Have clear understanding in dynamic resource management
frameworks, cloud, server, distributed storage, networks, virtualized
environments, applications, databases and associated tool sets.
ยท An understanding and practical experience with
containerization frameworks
ยท Must be good at forecasting, statistical analysis and
modeling are part of the job.
ยท Java Spring Boot Experience
ยท DevOps Experience/ Tools which helps to be a DevOps Engineer
ยท AWS & AZURE
ยท Cloud Transition Model – Waterfall/Agile – CI / CD DevOps
/Dev Sec Ops
ยท Chaos Testing Automation on the MicroServices
ยท OPENSHIFT (PaaS Platform)
ยท RHEL ,CENTOS & UBUNTU (OS)
ยท VIRTUALBOX & VAGRANT (Virtualization)
ยท DOCKER (Container RUNTIME Engine).
ยท NGINX (Performing webserver for Containers)
ยท Knowledge on ANSIBLE AUTOMATION
ยท KUBERNETES (Container Orchestration), HELM (Kubernetes
Package Management)
ยท ENVOY & ISTIO (Service Mesh Data and Control Planes)
ยท HARSHICORP (Securing Credentials)
ยท Knowledge on MicroServices Fundamentals & Patterns,
Monitoring the MicroServices , Custom Alerting
ยท Understanding of monitoring/telemetry solutions (Icinga,
ELK, AppDynamics) for data ingestion and analysis
ยท PROMETHEUS (Container Infrastructure Monitoring), ELK (Log
Monitoring), RUM (Real User Monitoring), GRAFANA Monitoring Dashboard
Tool
ยท Mongo DB, Postgres, Oracle
Experience with Atlassian suite of products