Technology Support III CTIM Platform Operations AWS Cloud Python Databricks SRE
JP Morgan
There’s nothing more exciting than being at the center of a rapidly growing field in technology and applying your skillsets to drive innovation and modernize the world's most complex and mission-critical systems.
As a Software Engineer III at JPMorgan Chase within the 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
Act as the first point of contact for AWS and Databricks inquiries or issues. Liaise with technology teams to drive automation enhancements in AWS and JPMC frameworks. Identify and implement cost optimization strategies within the AWS framework. Focus on continuous service improvement by analyzing issue patterns for efficiency gains. Manage stakeholder communication during technology incidents, providing clear updates. Document support processes and FAQs, addressing any knowledge gaps with the team. Interact extensively with SRE Technology teams and build relationships with other tech and business teams. Demonstrate strong teamwork and embrace a diverse and inclusive culturee
Required qualifications, capabilities, and skills
Obtain formal training or certification in software engineering or a related field with 3+ years of experience. Demonstrate 5+ years of programming expertise in Python/Scala and Spark. Execute AWS migration and implementation with hands-on experience. Utilize DevOps CI/CD tools like Git and Jenkins effectively. Familiarize with critical AWS services: EC2, EKS, Lambda, S3, RDS, RedShift, etc. Apply 2+ years of experience with AWS cloud services and databases. Leverage 5+ years of expertise in Python scripting and AWS Microservices. Set up S3 buckets and AWS Lambda services proficiently. Monitor AWS environments using CloudWatch, Datadog, and X-ray. Understand AWS Identity Management and Costing/Billing. Exhibit strong analytical, problem-solving, and interpersonal skill
Preferred Qualifications, Capabilities, and Skills
Possess strong knowledge of cloud technology. Demonstrate business domain knowledge in Risk Management, Finance, or Compliance. Understand big data architecture, particularly the Hadoop stack. Have hands-on experience with Databricks in a Data Engineering or SRE role. Experience with stream-processing systems like Storm or Spark-Streaming is a plus
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