Job Description
Reporting to the DevSecOps lead • Digital
Engineering, the position holder will be responsible for
developing and building DevOps Platforms/processes, automation of IT
infrastructure provisioning, implementing reusable and secured components,
translating technical requirements, assisting and guiding throughout software
development stages, and performing script maintenance and updates.
The DevOps Engineer will
be responsible for building automated deployments, deploying new modules and
upgrades, deploying product updates, identifying production issues,
implementing integrations that meet stakeholders’ needs, completing fixes
within the production environment as well and monitoring the environments and
deployments for service/product availability.
Duties & Responsibilities
Recommend,
Design, set, and implement cloud-native solutions for DevOps platforms and
processes leveraging opensource solutions
Setup, monitor, support, integrate, and automate security and quality scans for infrastructure and service deployments
Write
automation scripts using Bash/Java/Python/Groovy/Ruby and automate systems
health visualization, use various tools to orchestrate solutions i.e.,
Continuous Integration and Continuous Delivery Tools.
Understand,
set, and support basic ML models and algorithms for pro-active monitoring and
Root Cause Analysis (RCA) for production errors leveraging on machine learning
and AIOPs
Configure
and manage data sources e.g., RDBs and NoSQL, and Implement solutions to
improve observability and monitoring for tools/platforms and services
Participating
in the analysis and document requirements for the development of new or
improved infrastructure deployment automation.
Build/integrate
with tools to reduce occurrences of errors and improve the deployment cycle,
deploy updates and fixes, and implement integrations requested by the software
engineering team.
Developing
Cloud Native Applications.
Investigate
and resolve technical issues.
Design
procedures for system troubleshooting and maintenance.
Maintain
team and project management tools such as Jira, Confluence, and Mural
Qualifications
BSc
or MS in Computer Science, Engineering, or relevant field.
2+
years of experience in managing Linux-based infrastructure.
2+
years of experience as a DevOps Engineer or similar software engineering role
(DevOps Certifications will be an added advantage)
2+
years’ experience in DevOps processes and tools (Docker, Kubernetes, Vagrant,
Chef/Puppet, Ansible, Jenkins, Dynatrace, Splunk, Git, Gitops, Redis,
OpenShift, Terraform, Hashicorp vault, FluxCD).
Demonstrable
experience with continuous integration tools like Jenkins/Gitlab-ci/ Tekton.
Demonstrable
experience in Infrastructure as Code tools like Terraform/Cloud-formation.
Experience
in IT across designing, engineering, and development of IT toolsets in the
infrastructure monitoring, analytics, and AIOPS solutions (Dynatrace, Splunk,
Kibana)
Strong
understanding and experience in Machine Learning (ML) algorithms for various
AIOP use cases such as classification, clustering, and anomaly detection.
Exposure
to ELK stack, Monitoring, and observability solutions (Grafana, Prometheus,
Dynatrace, Splunk,), OpenTelemetry implementation, and automation testing on
AWS cloud-based deployments, preferably in a containerized environment.
Demonstrable
experience in Public Cloud Platforms, deployment, and operations with
a focus on AWS (Professional Certifications is an added advantage)
Good
knowledge of shell scripting using Bash/Python/Groovy/Go.
Working
knowledge of programming languages such as Java or Python.
Working
knowledge of databases both RDBMS and NoSQL.
Working
knowledge of Cloud Native tools e.g. Crossplane, Liqo, open telemetry
Team
spirit and team player.
Excellent
Interpersonal, problem-solving, good time-management, learning mentality, and
communication skills.
Demonstrable
experience with continuous delivery methods such as GitOps.
Experience
and knowledge of agile methodologies
How To Apply
Apply before or on 23rd
Jan 2024
