Software Engineer [Multiple Positions Available]
J.P. Morgan
DESCRIPTION:
Duties: Lead a team of cloud data engineers and architects to deliver scalable, cloud-native data lakes and real-time analytics platforms on AWS, Databricks, and Immuta. Drive performance management by setting goals, conducting evaluations, and mentoring team members to enhance their skills. Establish data engineering best practices, including cloud adoption frameworks and automation strategies. Manage budgeting and cost optimization for cloud data platforms using FinOps strategies, AWS Cost Explorer, and right-sizing techniques. Define observability and reliability goals by implementing SLIs, SLOs, and automation for monitoring and self- healing architectures. Lead vendor and tool evaluations to select scalable, cost-effective technologies. Oversee infrastructure planning and governance, ensuring compliance with security and data privacy regulations through ABAC and fine-grained permissions with Immuta. Collaborate with data science, analytics, security, and DevOps teams to align data solutions with enterprise objectives. Lead the development of operational processes for data ingestion, transformation, governance, and consumption. Define the technical roadmap and data strategy to drive innovation and cost optimization. Architect and optimize cloud-based data pipeline using Databricks, Starburst, Iceberg, and Snowflake. Ensure reliability and performance of data processing workflows with Apache Spark, Spark Streaming, Delta Live Tables, and AWS Kinesis. Lead CI/CD and automation initiatives using Jenkins, GitHub Actions, Terraform, and Databricks Asset Bundles. Provide oversight in ML pipeline automation with MLflow and model lifecycle management. Enhance security and compliance with data protection frameworks and automated governance. Optimize federated query execution with Starburst and Starburst Stargate.
QUALIFICATIONS:
Minimum education and experience required: Bachelor's degree in Electrical and Electronic Engineering, Computer Science, Computer Engineering, or related field of study plus seven (7) years of experience in the job offered or as Software Engineer, Architect, Site Reliability Engineer, Applications Support, Oracle Apps Systems Engineer, or related occupation.
Skills Required: This position requires experience with the following: leading the design and development of data-driven applications using Python, PySpark, Shell scripts, and PL/SQL to ensure scalable deployment on the AWS cloud platform; managing cloud infrastructure with Terraform, adhering to Infrastructure as Code (IaC) principles and optimizing AWS resources; driving solutions leveraging AWS services including EC2, EKS (Kubernetes), ECS, S3, EMR, Lake Formation, Glue Catalog, Glue Crawlers, Lambda, and Step Functions to build high-performing data platforms; designing and implementing modern data lake solutions with technologies including Databricks, Immuta, Iceberg, and Snowflake to ensure scalability, security, and governance; developing attribute-based access control (ABAC) using Immuta for fine-grained, policy-driven access across AWS and on-premises data lakes; integrating Databricks, Starburst, and Immuta with Tableau and Alteryx for secure, governed data consumption; creating real-time streaming solutions using orchestration tools, data ingestion frameworks, Delta Live Tables, and Spark Streaming for scalable analytics; designing monitoring and observability solutions with service level indicator (SLI)-based and service level objective (SLO)- based alerting, telemetry collection, and anomaly detection using CloudWatch, CloudTrail, Grafana, OpenTelemetry, and Splunk; shaping AI and ML workflows with MLflow for feature engineering, model training, validation, and deployment to align with business; automating deployment pipelines using Jenkins, GitHub Actions, Databricks Asset Bundles, and Terraform for efficient application rollouts; and troubleshooting and resolving performance, reliability, and scalability issues, collaborating with engineers to implement best practices for distributed systems.
Job Location: 8181 Communications Pkwy, Plano, TX 75024. This position requires up to 10% domestic travel to JPMC facilities.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.
Lead a team of cloud data engineers and architects to deliver scalable, cloud-native data lakes and real-time analytics platforms...