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Chase · 1 month ago

Lead Software Engineer - Data/ Python/ AWS

545 Washington Blvd, Jersey City, NJ, 07310, US

Full-time

Onsite

Senior Level, Lead/Staff

$152K/yr - $215K/yr

5+ years exp

Chase is a leading financial services firm, and they are seeking a Lead Software Engineer to enhance, build, and deliver trusted market-leading technology products. The role involves conducting critical technology solutions and leading the development of secure, scalable data infrastructure using Python and AWS.

BankingFinancial Services

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 high-quality production code, and reviews and debugs code written by others. Build scalable, robust, and secure data infrastructure solutions using Python on AWS

Architect and implement data pipelines and platform components using Apache Iceberg, Databricks, AWS Glue, and DuckDB

Use tools like AWS CloudFormation and Terraform to automate deployment and management of cloud resources

Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems

Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture

Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies

Adds to team culture of diversity, opportunity, inclusion, and respect

Qualification

PythonAWSData engineeringApache IcebergDatabricksAWS GlueDuckDBCI/CDMonitoring toolsCloudFormationTerraformNLPAI/MLDockerKubernetes

Required

Formal training or certification on Software Engineering concepts and 5+ years applied experience in Python and/ or Data engineering space

Hands-on practical experience delivering system design, application development, testing, and operational stability

Strong proficiency in Python. Hands-on experience with AWS services (ECS, EKS, Lambda, S3, IAM, RDS, Fargate, Glue, etc.)

Experience with data lake technologies, especially Apache Iceberg, Databricks, AWS Glue, and DuckDB

Experience with monitoring and alerting tools (CloudWatch, X-Ray, Prometheus, Grafana, Splunk)

Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

In-depth knowledge of the financial services industry and their IT systems

Practical cloud native experience