Propel operational success with your expertise in technology support and a commitment to continuous improvement. 

As a Technology Support III at JPMorgan Chase within the Corporate Technology , you will solve complex and broad business problems with simple and straightforward solutions. Through code and cloud infrastructure, you will configure, maintain, monitor, and optimize applications and their associated infrastructure to independently decompose and iteratively improve on existing solutions. You are a significant contributor to your team by sharing your knowledge of end-to-end operations, availability, reliability, and scalability of your application or platform.

Job responsibilities

Executes standard software solutions, design, development, and technical troubleshootingWrites secure and high-quality code using the syntax of at least one programming language with limited guidanceDesigns, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implicationsApplies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automationApplies technical troubleshooting to break down solutions and solve technical problems of basic complexityRelease management and SDLC including experienced in Jules, Jenkins, GitLab, or Terraform pipeline deployments and container orchestration technologies such as ECS, Kubernetes, and DockerProvide primary infrastructure operational, optimization and engineering support for the on-prem, private and public cloud platformData Pipeline Support: Maintain, tune, support, scalable data pipelines to process and analyze large datasets efficientlyData Transfers, Integration and Maintenance: Support the transfers and availability of data across different environments  and support the integration of data from various sources, ensuring data availability and consistency.Model Deployment and Support: Collaborate with data scientists to deploy models into production environments (Firm internal Cloud, Linux, AWS, etc.) and support the model runs as needed.

Problem-Solving: Strong analytical and problem-solving skills to address data engineering challenges.

 

Required qualifications, capabilities, and skills

Formal training or certification on site reliability culture and principles concepts, with 3+ years of applied experienceProficient in site reliability culture and principles, with familiarity in implementing site reliability within an application or platformProficient in at least one programming language, such as Python, Java/Spring Boot, or .NetProficient knowledge of software applications and technical processes within a given technical discipline (e.g., Cloud, artificial intelligence, Android, etc.)Experience in observability, including white and black box monitoring, service level objective alerting, and telemetry collection using tools like Grafana, Dynatrace, Prometheus, Datadog, Splunk, and othersFamiliarity with troubleshooting common networking technologies and issuesFamiliarity with Python library ecosystem typically used for data processing such as Pandas, Numpy, etc.Familiarity and experience with deployment pipelines for Python and Java based applications.Familiarity with relational databases and SQL syntax

 

Preferred qualifications, capabilities, and skills 

Good knowledge on cloud technology Experience in cloud computing, preferably with AWS