Lead a software engineering team building scalable AWS-based data integration and warehousing solutions. Design and deliver ETL/streaming pipelines (Spark, PySpark/Scala, Kafka), implement IaC and CI/CD, adopt enterprise AI-assisted development practices, and collaborate with cross-functional teams to ensure secure, high-performance data platforms.
Job summary:
As a Manager of Software Engineer at JPMorgan Chase within our Workforce Technology team, you are part of an agile team that works to enhance, design, and deliver the software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.
Job responsibilities :
- Manage data integration and data analysis of disparate systems
- Build extensible data acquisition and integration solutions to meet the functional and non-functional requirements of the client
- Implement processes and logic to extract, transform, and distribute data across one or more data stores from a wide variety of sources
- Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation Provide problem-solving expertise and complex analysis of data to develop business intelligence integration designs
Interface with other internal product development teams as well as cross functional teams (Product Management, Integration Engineering, Quality Engineering, System Admin Teams)
Working with remote and geographically distributed teams to enable building the right products, using the right building blocks, and making them consumable by other products easily
Required qualifications, capabilities, and skills:
- Experience in data integration projects using Big Data Technologies, preferably related to human resources analytics
- Experience in managing team of at least 5-10 engineers.
- Experience in AWS Data Warehousing and database platforms with hands-on delivery using EMR, S3, AWS Glue, Lambda, Apache Airflow and Infrastructure as Code (IaC) (e.g., Terraform/CloudFormation)
- Hands-on experience on Spark engineering with PySpark/Scala for building and optimizing scalable data pipelines and 2+ years hands-on experience building streaming applications using Kafka
- Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices - Strong experience in CICD using Jenkins, Git, Artifactory, Yaml, Maven for Cloud deployments
- Good knowledge of Big Data querying tools, such as Athena, RDS, Databricks
- Experience in integrating data from different types of file-storage formats like Parquet, ORC, Avro and table formats like Delta Lake or Iceberg
- Good knowledge of Java opensource, API standards, JUnits, Spring Boot applications, Swagger Setup
- Experience using AI-assisted developer productivity tools (e.g., GitHub Copilot) to speed up development, testing, and remediation
- Strong technical understanding in building scalable, high performance distributed services/systems
- Strong knowledge of Data Warehousing, Data Modeling and Data Lake, Data Security concepts
- Possesses strong problem solving, troubleshooting, and analytical skills, as well as excellent communication, presentation and interpersonal, including the ability to communicate complex concepts clearly to different audiences
- Experience in technologies like Oracle/SQL and NoSQL data stores such as DynamoDB
- Ability to quickly learn new technologies in a dynamic environment
Preferred qualifications:
- Experience in Databricks,
- Experience in Human Resources analytics
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.
JPMorganChase Dublin, Dublin, IRL Office
Dublin, Ireland
Similar Jobs
Financial Services
Lead development of secure, scalable HR/talent-management backend systems on AWS. Design, code, review, and troubleshoot production software; build IaC and data models; drive CI/CD, resiliency, automation, and responsible AI-assisted engineering adoption; lead vendor evaluations and engineering communities of practice.
Top Skills:
Ai-Assisted Development ToolsAWSAws LambdaAws NeptuneCi/CdCloud NativeGraphdbGremlinInfrastructure As Code (Iac)JavaJulesPostgresPythonSpinnakerSpring BootTerraform
Cloud • Fintech • Food • Information Technology • Software • Hospitality
Lead architecture and implementation of AI agents and infrastructure for the Team domain. Define scalable, secure designs, partner with engineering and product, write code and prototypes, resolve performance bottlenecks, establish agent/ spec-driven patterns, and mentor engineers to deliver mission-critical SaaS systems.
Top Skills:
Agentic WorkflowsApache CamelApache PulsarAutonomous AgentsAWSCi/CdEvent-Driven MessagingLlmsSaaSSpec-Driven Development
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Lead development and implementation of Medical Insights strategy and processes across Medical Affairs. Prioritize insights use cases, translate business needs into data/functional requirements, evaluate AI and analytics solutions, embed insights into medical decision-making, monitor impact, enable adoption of insights platforms, and collaborate cross-functionally to drive value and evidence generation.
Top Skills:
Advanced AnalyticsAIDataikuTableau
What you need to know about the Dublin Tech Scene
From Bono and Oscar Wilde to today's tech leaders, Dublin has always attracted trailblazers, with more than 70,000 people working in the city's expanding digital sector. Continuing its legacy of drawing pioneers, the city is advancing rapidly. Ireland is now ranked as one of the top tech clusters in the region and the number one destination for digital companies, with the highest hiring intention of any region across all sectors.
