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Lead Software Engineer - SRE Cloud Engineer

JPMorgan Chase
Ohio, USA
Full-time
Lead · 5+ years experience
Onsite
Discovered 1 weeks ago
airflowawsdatabricksdatadogdockerdynatrace

Full Job Posting

Job responsibilities

  • Guides and assists others in the areas of building appropriate level designs and gaining consensus from peers where appropriate.
  • Collaborates with other software engineers and teams to design and implement deployment approaches using automated continuous integration and continuous delivery (CI/CD) pipelines.
  • Collaborates with other software engineers and teams to design, develop, test, and implement availability, reliability, scalability, and solutions in their applications.
  • Implements infrastructure, configuration, and network as code for the applications and platforms in your remit.
  • Collaborates with technical experts, key stakeholders, and team members to resolve complex problems.
  • Understands service level indicators and utilizes service level objectives to proactively resolve issues before they impact customers.
  • Supports the adoption of site reliability engineering best practices within the team.
  • Monitors and responds to production alerts, providing L1 and L2 support to minimize customer impact.
  • Provides weekend and on-call production support as part of the team rotation.
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards. (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 5+ years applied experience.
  • Strong analysis, research, investigation, and evaluation skills, with a structured approach to problem solving.
  • Proficient in at least one programming language such as Python, Java/Spring Boot, Scala, and/or.Net.
  • Hands-on with infrastructure as code (IaC) using tools such as Terraform and AWS CDK.
  • Experience developing and running data pipelines using PySpark and good debugging skills.
  • Experience managing and developing/deploying on Cloud (private cloud or public cloud).
  • Working knowledge of Kubernetes, Docker, and other container technologies.
  • Experience with monitoring and observability tools, including Dynatrace, Open Telemetry (OTEL), Prometheus, Datadog, and Grafana, particularly in dashboard development.
  • Knowledge of GIT, Bitbucket, Jenkins, SONAR, SPLUNK, Maven, AIM and Continuous Delivery tools.
  • Demonstrated experience using and leading effective use of enterprise-authorized, AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) to support SRE workflows — with strong validation habits and the ability to set team expectations for validating AI outputs for correctness, performance, and security.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices.

Preferred qualifications, capabilities, and skills

  • Production working knowledge of Databricks and Apache Airflow on AWS.
  • AWS, Databricks, and/or Terraform certification.
  • Working knowledge of Control-M/Autosys, Airflow scheduling package.
  • UNIX file management & administration and good shell scripting experience.
  • Oracle (v9i/10/11/19c) running on Exadata, Ansi SQL, PL/SQL Stored Procedures support/development.

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