Job responsibilities
- Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
- Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
- Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
- Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
- Contributes to software engineering communities of practice and events that explore new and emerging technologies
- Adds to team culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification onsoftware engineeringconcepts and 3+ years applied experience
- Proficiency on AWS Cloud Platform, with system design, application/tools/interface/modules development, testing, problem solving and operational stability.
- Hands-on infrastructure as code tools, such as Terraform, Helm chart.
- Design, deploy and manage Kubernetes clusters across various environments (on-premises, AWS cloud, hybrid) as a Kubernetes platform Engineer.
- Experience with K8s services, deployments, failover mechanism, networking, security polices, including CNI plugins, ingress controllers and service meshes.
- Minimum 4+ years of experience in Kubernetes, Terraform, Python, Shell scripting technologies.
- Hands-on infrastructure as code tools, Terraform, Helm chart, independently design, build, test and deploy the code.
- Hands-on experience with Continuous Integration and Delivery tools like, Jules / Spinnaker / Jenkins integration
- Ability to set up monitoring, logging, and alerting for Kubernetes clusters using Grafana, Prometheus and Splunk
- Should have strong SQL skills; PostgreSQL, AWS RDS, Aurora, Teradata is preference but experience in any other RDBMS technology would suffice.
Preferred qualifications, capabilities, and skills
- Familiarity with modern front-end technologies
- Exposure to cloud technologies