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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.
Duties: Lead and manage a team of software engineers in designing, developing, and deploying enterprise-scale financial applications and data-driven platforms. Make architectural decisions across distributed, cloud- native, and microservices-based systems to ensure scalability, resiliency, and security. Provide technical leadership in implementing multi-cloud strategies, focusing on developer services. Drive adoption of data engineering and orchestration tools for distributed processing, Apache Kafka and Apache Flink for real-time data streaming, and Airflow/Prefect for workflow automation. Oversee integration of machine learning solutions into production systems, leveraging TensorFlow and PyTorch for model development, training, optimization, and deployment. Implement MLOps frameworks for end-to-end machine learning lifecycle management, including deployment, monitoring, and governance of models in production. Implement service mesh technologies to secure and optimize microservices communication within Kubernetes environments. Implement search and indexing technologies to support real-time data retrieval and high- performance search. Collaborate with cross-functional teams (product managers, data scientists, infrastructure engineers) to align technology initiatives with business objectives. Establish and enforce best practices in Agile SDLC, code quality, CI/CD automation, test-driven development, and observability (monitoring, logging, tracing) Manage project budgets, timelines, and risks while ensuring compliance with regulatory and security standards. Mentor and coach engineers to build technical expertise and leadership capability within the team.
QUALIFICATIONS:
Minimum education and experience required: Bachelor's degree in Computer Science, Information Technology, Computer Engineering, Computer Information Systems, Information Technology, Data Engineering, or related field of study plus 7 years of experience in the job offered or as Software Engineer, Developer, IT Consultant or related occupation.
Skills Required: This position requires experience with the following: leading and managing software engineering teams, including mentoring, hiring and performance evaluation; designing and implementing microservice- based application and infrastructure architectures on AWS, including containerized workloads using ECS, Fargate, and Lambda, and service mesh technologies including Istio to ensure scalability, reliability, and operational efficiency; developing and maintaining end-to-end data engineering workflows using orchestration tools such as Apache Airflow or Prefect, data processing frameworks including PySpark and Kafka, and cloud-based data services to automate ingestion, transformation, and integration of structured and unstructured datasets; Python and its libraries and frameworks; working with large-scale enterprise data, including financial, operational, and behavioral datasets, used for analytics, reporting, and data-driven decision-making including Pandas, NumPy and PySpark; developing and deploying machine learning and AI applications using frameworks including TensorFlow, PyTorch, and scikit-learn, including integrating pre-trained models, performing evaluation and tuning, and managing deployment workflows through platforms such as MLflow or Kubeflow; designing and developing data visualizations using tools including Matplotlib, Seaborn, and Plotly to present analytical results, model insights, and key performance metrics to technical and business stakeholders; designing and developing RESTful APIs and web services using frameworks including FastAPI, Flask, and Django, including API integration, performance optimization, and secure data access controls; designing, implementing, and managing orchestration and ETL pipelines using tools such as Airflow, Prefect, or AWS Step Functions to automate ingestion, transformation, validation, and loading of data into analytical or operational systems; Utilizing MLOps frameworks such as MLflow or Kubeflow for ML model deployment, monitoring, and governance; Utilizing service mesh technologies such as Istio or Linkerd for microservices management and observability; using search and indexing technologies such as Elasticsearch, OpenSearch, or Algolia for managing and querying large datasets, including schema design, indexing strategies, and query optimization; developing software solutions using programming languages and frameworks including Python, Java, Node.js, JavaScript, and C#, emphasizing modular design, scalability, and CI/CD integration using Jenkins, Jules, and Spinnaker; designing and managing CI/CD pipelines such as Jenkins, Git, Code Pipeline, or Azure DevOps; applying software testing methodologies including unit, integration, regression, performance, and automated testing; implementing testing frameworks such as PyTest, JUnit, or Postman; integrating test coverage into CI/CD pipelines to ensure reliability and code quality.
Job Location: 8181 Communications Parkway, Plano, TX 75024.
Full-Time.
ABOUT USJPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the worldâs most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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 applicantsâ and employeesâ 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
J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.â
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.