Software Engineer III - Kubernetes

Description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As Software Engineer III at JPMorganChase within Corporate Technology, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

Strong skills in SQL, PostgreSQL, AWS RDS, Terraform, Teradata is preference but experience in any other RDBMS technology would suffice.

Experience with K8S services, deployments, failover mechanism, networking, security polices, including CNI plugins, ingress controllers and service meshes.

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

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 3+ years applied experience.

DevOps Engineer (Kubernetes/AWS/Terraform/Python) professional with 5+ 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.

Having Databricks knowledge is added advantage.

Design, deploy and manage Kubernetes clusters across various environments (on-premises, AWS cloud, hybrid) as a Kubernetes platform Engineer.

Minimum 4+ years of experience in 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

Preferred qualifications, capabilities, and skills

Familiarity with SAS VIYA, Databricks

Exposure to AWS cloud technologies