Site Reliability Engineer II - Python, AWS, Unix
Site Reliability Engineer II - Python, AWS, Unix
JP Morgan Chase & Co.Early Applicant
- Posted 6 hours ago
- Be among the first 10 applicants
Job Description
Play a key role in ensuring system reliability at one of the world's most iconic and largest financial institutions.
As a Site Reliability Engineer II at JPMorgan Chase within the Commercial & Investment Bank- Payments Technology team, you will use technology to solve business problems and leverage software engineering best practices as we strive towards excellence. This role often works independently to execute small to medium projects, but you'll also have the opportunity to collaborate with cross functional teams to continually improve your level of knowledge about JPMorgan Chase's business and relevant technologies.
Job responsibilities
As a Site Reliability Engineer II at JPMorgan Chase within the Commercial & Investment Bank- Payments Technology team, you will use technology to solve business problems and leverage software engineering best practices as we strive towards excellence. This role often works independently to execute small to medium projects, but you'll also have the opportunity to collaborate with cross functional teams to continually improve your level of knowledge about JPMorgan Chase's business and relevant technologies.
Job responsibilities
- Executes small to medium projects independently with initial direction and graduates to designing and delivering projects independently
- Leverages technology to solve business problems by writing high quality, maintainable, and robust code following best practices in software engineering
- Uses enterprise-authorized AI capabilities within the work environment to speed up incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data according to sensitivity and security requirements.
- Participates in triaging, examining, diagnosing, and resolving incidents and works with others to solve problems at their root
- Recognizes toil within the role and proactively works towards eliminating it through systems engineering or updating application code
- Understands observability patterns and strives to implement and improve service level indicators, objectives monitoring, and alerting solutions for optimal transparency and analysis
- Applies enterprise-authorized AI capabilities within the work environment to identify recurring toil and reliability risks from operational signals, prioritizing reuse-first improvements and measurable SLO outcomes.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 2+ years applied experience ( NAMR/APAC - India/ LATAM/ Hong Kong)
- Ability to code in at least one programming language
- Working knowledge of using enterprise-authorized AI capabilities within the work environment to support SRE workflows (e.g., troubleshooting support and runbook drafting) with strong validation habits and awareness of data sensitivity.
- Ability to assess AI-assisted operational recommendations for correctness and risk, and apply appropriate controls to maintain resiliency, security, and auditability.
- Experience maintaining a cloud-based infrastructure
- Familiar with site reliability concepts, principles, and practices
- Familiar with observability such as white and black box monitoring, service level objective alerting, and telemetry collection
- Familiarity with containers or a common server OS such as Linux and Windows
- Emerging knowledge of continuous integration and continuous delivery practices and related tooling
Preferred qualifications, capabilities, and skills
- Java developer experience in enterprise application development
- Strong experience in SDLC delivery in Agile methodologies
- At least two years experience in Java 17+
- Experience developing microservices, packaged into AWS Elastic Kubernetes Service and/or Elastic Container Service, and deployed to EC2 instances
- Experience writing Terraform scripts and deploying in AWS production environment
- Experience in at least one relational database management system (preferably Oracle or PostgreSQL)
More Info
Job Type:
Function:
Employment Type:
Key Skills
cloud-based infrastructure
AI capabilities
site reliability concepts
observability
AWS Elastic Kubernetes Service
Windows
Containers
About Company
Skills:
Java, Continuous Integration, Windows, Microservices, Continuous Delivery, Linux, Terraform, Software Engineering, Containers, enterprise-authorized AI capabilities, AWS Elastic Kubernetes Service, cloud-based infrastructure, site reliability concepts, observability
Skills:
Java, Kafka, Nodejs, Angular, CloudFront, Lambda, Cloudwatch, Reactjs, ECS, Sqs, Sns, Python, Api Gateway, AWS, CodeDeploy, CodeBuild, EKS, Fargate, Kinesis Streams, CodePipeline, CodeCommit
Skills:
Sql, Aws Redshift, Pyspark, Cloudformation, Terraform, AWS IAM, Aws S3, AWS Glue, Aws Lambda, AWS CodePipeline, Python, Jenkins, AWS CloudWatch, Databricks Delta Lake, Kinesis Firehose, CI CD, Amazon Kinesis Data Streams, Structured Streaming, CodeBuild, GitHub Actions, CodeDeploy, Kinesis Analytics, Spark Performance Tuning, Amazon Kafka, AWS Lake Formation
Skills:
AWS, Splunk, Itsm, Automation, Windows, Service Now, Terraform, Grafana, Linux, DevOps Principles, Cloud Native Design Patterns, Harness
Skills:
Java, Prometheus, Grafana, Datadog, Jenkins, Appdynamics, Docker, Terraform, ECS, Dynatrace, Gitlab, Splunk, Python, Kubernetes, Java Spring Boot