DevOps Engineer-GPU Cloud
Singtel
- Singapore
- Permanent
- Full-time
- Architect and automate the CI/CD production, staging and development pipelines
- Define new best practises and devOps standards as required.
- Look for opportunities to optimize and enable consistent automated deployments.
- Hands-on automation engineer with experience in creating Infrastructure as Code, automating application deployments, and working with vendor and hyper scalar APIs to automated deployments
- Create tools and scripts that help automate deployments
- Direct project teams toward solutions that align with agreed guiding principles, strategy, architecture, and standards
- Guiding multiple teams on how to automate application and infrastructure deployment
- Serve as a leader and mentor for a team of engineers with a primary focus on automation
- Embed security controls, implementation, and testing into the DevOps practices
- Drive improvements for the design, development, and delivery of applications
- Drive systems engineering design and recovery by eliminating manual involvement and leading continuous improvements that create an operating environment that includes dynamically monitoring, alerting, and automated self-healing and recovery
- Work with an automation first mindset and work to install that in others
- Utilize agile practices to ensure consistent and transparent execution.
- Provide mentoring and knowledge transfer to others, and promote open culture and DevOps.
- Manage and maintain the DevOps pipeline, and work with dev teams on a combined pipeline.
- Lead technology evaluations and implementations to fill gaps in the Technology Architecture for software build, testing, deployment and scalability.
- Monitor standards/policy compliance by developing and executing governance processes and tools.
- Strong hands-on and working experience in Ubuntu , Linux Operating system and good to have RHCE/RHCSA Certification.
- Have hands-on and good experience in Cloud Technologies with one of the public cloud providers ​AWS, GCP, Azure.
- Strong understanding on computer networking ​VPC, Subnets, VPN and network connectivity (TCP, UDP, ICMP), etc.
- Experience in deploying ​IaC infrastructure as code​ with ​Terraform.
- Possess solid and deep knowledge and experience with ​containers​ and containers orchestration and deployments tools like Docker Swarm, ​Kubernetes, Helm etc.,
- You have an aptitude and ability to build and maintain continuous integration (​CI​) and continuous deployment/delivery (​CD​) systems for complex, distributed applications, using tools like GitHub Actions, ​Jenkins etc.
- Working experience in one of the configuration tools like Ansible, Chef and Puppet.
- State of the art experience ​diagnosing​ and ​debugging​ applications in ​complex, distributed heterogeneous ​computing​ environments.
- Mastery of essential development tools like​ GIT​and familiarity with collaboration tools such as ​Jira​ and Confluence​ or similar tools.
- Skills in ​API usage​, command-line interface, and ​SDKs​ for writing applications
- Have networking experience and understanding of network protocols, ​DNS, VPN​ , and ​Load Balancing​.
- Have ​API Gateway​ experience ​Nginx, Kong, APIGEE etc.
- Have extensive scripting experience in​ Shell (bash, zsh, csh, ksh), Python, Perl etc.
- Experience in logging, monitoring, tracing with tools like Azure Monitor, ​Cloudwatch, ​ ​Zabbix, Elasticsearch/Kibana (ELK), Prometheus/Grafana, ​ ​New Relic, Data Dog, Dynatrace​ , etc.
- Good understanding of the DB technologies SQL and NOSQL such as ​MongoDB, DynamoDB​, MySQL and ​PostgreSQL​.
- Good understanding of technologies such as ​pubsub​ - ​Kafka​, ​service mesh​ - ​Istio, Envoy, ​design patterns - ​REST API, GraphQL, microservice architecture, ​security - ​Vault, ​service discovery -Consul, ZooKeeper, etcd ​, etc.
- Flexible work arrangements
- Full suite of health and wellness benefits
- Ongoing training and development programs
- Internal mobility opportunities