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DESCRIPTION:
Duties: Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems. Execute software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems. Identify hidden problems and patterns in data and use these insights to drive improvements to coding hygiene and system architecture. Generate data models using firm wide tooling, linear algebra, statistics, and geometrical algorithms. Evaluate and report on access control processes to determine effectiveness of data asset security. Develop innovative AI/ML solutions and agentic systems for the LLM Suite platform utilizing public cloud architecture and modern standards, and Al Agentic frameworks. Develop and implement state-of-the-art GenAl services. Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development.
QUALIFICATIONS:
Minimum education and experience required: Master's degree in Computer Science or related field of study plus 3 years of experience in the job offered or as Software Engineer, Data Engineer, or related occupation. The employer will alternatively accept a Bachelor's degree in Computer Science or related field of study plus 5 years of experience in the job offered or as Software Engineer, Data Engineer, or related occupation.
Skills Required: This position requires three (3) years of experience with the following: building scalable data pipelines, integrating machine learning models using Scikit-Learn and PySpark, optimizing query performance, and leveraging cloud platforms including AWS for data-driven solutions. This position requires two (2) years of experience with the following: designing and developing highly scalable, fault tolerant data architectures on AWS by integrating Amazon S3 with Lake Formation, leveraging AWS Glue, orchestrating workflows with Amazon MWAA and AWS Step Functions, deploying using EMR or ECS and optimizing performance using Apache Iceberg in Athena and Redshift Spectrum, ensuring real-time and batch processing across petabyte-scale datasets. This position requires any amount of experience with the following: provisioning infrastructure, managing ingress/egress traffic, configuring AWS Route 53 to manage domain names, and setting up VPCs using Terraform; implementing hub-and-spoke data modeling approach with satellite and hub tables in Amazon Redshift or Snowflake to ensure efficient historical tracking and auditability; building pipelines in Databricks by leveraging Data Lake, Photon Engine, Unity Catalog, MLflow, Auto Loader, and Workflow and integrating the pipelines with AWS to enable real-time, secure, and cost-efficient big data and AI workloads; executing large-scale, real-time search and analytics solution using Amazon OpenSearch Service, integrating SQS and SNS to enhance Kafka ingestion and ensure efficient data processing; using FastAPI and Spring Boot, Swagger, and Akamai for content delivery and security, and Grafana for monitoring streaming services; engineering automated, Al-powered data catalog and knowledge graph that enables seamless discovery, self-serve analytics by embedding LLM generated metadata, embeddings based indexing and vector search; designing and implementing automated data-quality and anomaly detection using statistical methods to maintain data integrity and detect anomalies in high-velocity data streams.
Job Location: 8181 Communications Pkwy, Plano, TX 75024
ABOUT USWe 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
hackajob is partnering with JPMorganChase to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.