Lead Software Engineer- Observability & Data Modelling
Lead Software Engineer- Observability & Data Modelling
Posted on :
11-05-2025
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1 Vacancy
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Job Description
Description
We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.
As a Lead Software Engineer at JPMorgan Chase within Infrastructure Platforms (IP) you will work with the IP Payments team tocreate an integrated view of telemetry from all infrastructure products supporting Payment Applications in a single pane of glass dashboard for their new Command Center Initiative.
Job responsibilities
- Executes creative software solutions design development and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Develops secure highquality production code and reviews and debugs code written by others
- Collaborate with infrastructure product owners to implement integrated observability and telemetry views that can enable proactive performance management. Influence peers and project decisionmakers to consider the use and application of leadingedge technologies for the same.
- Utilize logging monitoring reporting and analytics tools such as Satori Prometheus Grafana Netcool Splunk Dynatrace and Datadog to build visualization of insights that can provide correlation of application issues with infrastructure performance enabling quick identification and remediation of bottlenecks.
- Drive data modelling design and implementation of a foundational platform that can support advanced correlation and AIML based predictive analysis for early identification and proactive resolution of infrastructure issues in the future.
- Act as an SME to guide the Payments Automation team on delivery of smart and secure automations. Help in selection of the right tools/ technologies create high quality designs roadmaps and charters that can be delivered by you and other engineers under your guidance.
Required qualifications capabilities and skills
- Formal training or certification on software engineering concepts and 5 years applied experience across system design development observability telemetry collection operations and performance management roles.
- Handson practical experience delivering system design application development testing and operational stability
- Advanced knowledge of software applications and technical processes with considerable indepth knowledge and practical experience in one or more technical disciplines (e.g. cloud artificial intelligence machine learning etc.)
- Proficient in using logging monitoring and analytics tools including Satori Prometheus Grafana Netcool Splunk Dynatrace Datadog. Experience in Grafana integrations and dashboard designing.
- Proficient in data modelling techniques and building AIML Algorithms for predictive analytics. Ability to communicate databased solutions with complex reporting and visualization methods.
- Proficient in one or more programming language(s) Python Ansible shell scripting. Proficient in consuming and creating new APIs.
- Possess technical skillset in one or more infrastructure domains such as Unix / Linux technologies Kubernetes Oracle / SQL Cassandra and Messaging frameworks (Kafka MQ).
- Experience with continuous integration and continuous delivery tools like Jenkins GitLab or Terraform Ansible
Preferred qualifications capabilities and skills
- Good exposure to processes in scope of the Information Technology Infrastructure Library (ITIL) framework.
- Keen attention to detail to build intuitive solutions for teams monitoring system alerts and observations via the command center dashboard.
- Experience in identifying and implementing process improvements to enhance command center operations. Willingness to stay updated on new tools technologies and best practices relevant to same.
Employment Type
Full-Time
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