Senior Lead Software Engineer/Cloud/Data Service

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineer at JPMorganChase within the Corporate Sector, Chief Technology Office, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job responsibilities

• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• Serves as a function-wide subject matter expert in one or more areas of focus
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software  Development Life Cycle
• Influences peers and project decision-makers to consider the use and application of leading-edge technologies
• Adds to the team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering/data services concepts and 5+ years applied experience
• Strong AWS experiences
• Strong understanding of SRE principles, including SLIs, SLOs, and incident management
• Experience in programming in one of the following languages: Python, PowerShell, shell scripting or GO along with good understanding of REST APIs
• Hands-on experience with cloud-based technologies and tools especially in deployment, monitoring and operations, such as Google Observability, Data Dog, Prometheus, Splunk, Elasticsearch and Grafana
• Strong experiences of operating systems such as Windows, Linux (Redhat)
• Strong working knowledge of modern development technologies and tools such Agile, CI/CD, Git, Infrastructure as Code, Terraform and Jenkins.
• Experiences of MSSQL or other databases

• Exposure to Databricks Platform administration
• Exposure to  Data pipelines using Spark
• Knowledge of containerization (Docker, Kubernetes) and orchestration
• Familiarity with distributed systems and large-scale data processing