Cloud Solutions Lead Software Engineer – AWS @ JP Morgan Chase

Job Information

Job Description:

Job Responsibilities

Drive, support, and deliver on a strategy to build broad use of Amazon’s utility computing web services (e.g., AWS EC2, AWS S3, AWS RDS, AWS CloudFront, AWS EFS, CloudWatch, EKS)
Design resilient, secure, and high performing platforms in Public Cloud using JPMC best practices
Improve reliability, quality, and time-to-market of our suite of software solutions moving to public cloud
Measure and optimize system performance, with an eye toward pushing our capabilities forward, getting ahead of customer needs, and innovating to continually improve
Provide primary operational support and engineering for the public cloud platform and debug and optimize systems and automate routine tasks
Collaborate with a cross-functional team to develop real-world solutions and positive user experiences at every interaction.
Drive work streams to ensure Applications meet strict non-functional requirements for Public Cloud On-boarding
Drive Cost management through the effective design and optimization of public cloud platforms and technologies
Organize and run game days, resiliency tests and chaos engineering exercises
Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience
Candidates must be certified with AWS Solutions Architect Associate / Professional
A strong understanding of business technology drivers and their impact on architecture design, performance and monitoring, best practices
Design and building web environments on AWS, which includes working with services like EC2, ELB, RDS, and S3
Experience using DevOps tools in a cloud environment, such as Ansible, Artifactory, Docker, GitHub, Jenkins, Kubernetes, Maven, and Sonar Qube
Experience using monitoring solutions like CloudWatch, Prometheus, Datadog, Splunk
Experience and knowledge of writing Infrastructure-as-Code (IaC), using tools like CloudFormation or Terraform
Experience with one or more public cloud platforms like AWS, GCP, Azure
Experience with high volume, mission critical applications and their interdependencies with other applications and databases
Experience with high volume, mission critical applications, and building upon messaging and or event-driven architectures.
Keen understanding of financial and budget management, control and optimization of Public Cloud expenses

Preferred qualifications, capabilities, and skills

Experience with distributed storage technologies like NFS, HDFS, S3
A proactive approach to spotting problems, areas for improvement, and performance bottlenecks
SRE mindset Culture/Approaches: To run better production systems by creating engineering solutions to operational problems
Experience of Agile delivery and tools including Kanban framework

Benefits:
Experience Level: Senior
Work From: Onsite