Technology Support III CTIM Platform Operations AWS Cloud Python Databricks SRE

jpmorgan-chase-%26-co. - Mumbai, Maharashtra, India | 2024-11-06 15:19:05

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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