Site Reliability Engineer

Duties:

Will define enterprise-wide applications development strategies to ensure that applications and

infrastructure that are brought to market meet customer requirements and are stable, reliable, and

production ready.

Duties include:

1. Design, code, test and deliver automation tools for production applications deployment and

maintenance;

2. Automate infrastructure creation and provisioning processes in AWS, Azure and OCI cloud

platforms using CloudFormation, Terraform, Ansible, Python and Shell scripting;

3. Develop applications using Java, Spring Boot, Datadog, Elasticsearch, ReactJS and Docker

Compose technologies for monitoring and alerting systems;

4. Enhance automation around configuration management, tooling and striving towards continuous

delivery of software;

5. Migrate docker compose and docker swarm style applications to Kubernetes using Helm Charts

involving working with Kafka, Postgres, RabbiMQ, ELK stack and Redis technologies;

6. Migrate applications between cloud platforms - AWS, Azure, OCI and GCP;

7. Deploy new versions of software releases to production environments and also work on

configuration change requests for production environments; and

8. Troubleshoot priority incidents, facilitate blameless post-mortems and ensure permanent closure

of incidents on both public cloud and on premise environments.

Position Requirements:

Master’s Degree in Computer Science, Computer Engineering, Information Quality or a related field plus

1 year of experience in software development roles.

1 year of experience to include the following skills (all skills gained concurrently):

1) Experience with Java, Python and bash scripting languages;

2) Experience with Containerization technologies including Docker, Kubernetes and Swarm;

3) Experience with Terraform, CloudFormation, Ansible and Helm tools for automation;

4) Experience with creating CI/CD pipelines and jobs using Teamcity and Jenkins;

5) Experience with ELK stack, Kafka, RabbitMQ, SNS and SQS messaging technologies;

6) Experience with Postgres, MySQL, MongoDB, Redis and Memcached persistence technologies;

7) Experience with with gradle, maven, Github, Datadog, kibana, splunk, Swagger, Kong

dashboard, Postman and JIRA;

8) Experience with VPC, EC2, ELB, EKS, RDS, IAM, Kinesis, S3, Lambda, CloudFront and

CloudWatch services;

9) Experience with at least one of AWS, Azure or OCI cloud platforms; and

10) Experience with gathering & analyzing metrics using Datadog and to create monitors, synthetics

and dashboards for production applications and systems maintenance.