Sr. Director of Software Engineering - Platform Engineering
JPMorgan Chase & Co.About the role
Your opportunity to make a real impact and shape the future of financial services is waiting for you. Let’s push the boundaries of what's possible together.
As a Senior Director of Software Engineering at JPMorgan Chase within the Consumer & Community Bank Data Technology Team, you lead multiple technical areas, manage the activities of multiple departments, and collaborate across technical domains. Your expertise is applied cross-functionally to drive the adoption and implementation of technical methods within various teams and aid the firm in remaining at the forefront of industry trends, best practices, and technological advances.
Job responsibilities
- Leads multiple technology and process implementations across departments to achieve firmwide technology objectives
- Directly manages multiple areas with strategic transactional focus
- Provides leadership and high-level direction to teams while frequently overseeing employee populations across multiple platforms, divisions, and lines of business
- Acts as the primary interface with senior leaders, stakeholders, and executives, driving consensus across competing objectives
- Manages multiple stakeholders, complex projects, and large cross-product collaborations
- Influences peer leaders and senior stakeholders across the business, product, and technology teams
- Champions the firm’s culture of diversity, equity, inclusion, and respect
- Lead and mentor a team of Cloud Engineers/Architects and Operations Engineers who define and implement the data observability and resiliency strategy for the company’s data platform
- Strategize and implement resiliency across Data Asset, Platform, and consumer-specific resiliency by enabling Cross Account Cross Regions (CACR) S3 replications, AWS Lake formation cross-regional backup, Glue Catalog cross-regional backup, and applications HA setup
- Collaborate with senior leadership to align data lake and pipeline initiatives with business goals while driving innovation and best practices in data management and engineering
- Design the architecture and oversee the implementation of the observability across data platforms
- Guide the team to build Hybrid Cloud Applications and scalable, secure, and cost-efficient Splunk-based Logging and Tracing, and enable applications that support data ecosystems on AWS
- Enable networking across services
- Manage project timelines, resources, and budgets
- Coordinate with cross-functional teams to ensure seamless integration and deployment
- Monitor system performance and implement proactive measures to ensure reliability
- Implement best practices for data governance, security, and compliance
- Oversee recruitment, training, and performance evaluations for the team
Required qualifications, capabilities, and skills
- Formal training, or certification on software engineering concepts and 10+ years applied experience. In addition, 5+ year of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise and more broadly across the organization
- Experience developing or leading large or cross-functional teams of technologists
- Demonstrated prior experience influencing across highly matrixed, complex organizations and delivering value at scale
- Experience leading complex projects supporting system design, testing, and operational stability
- Experience with hiring, developing, and recognizing talent
- Extensive practical cloud native experience
- Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field
- Expertise developing applications using Java and Python
- Relational databases including Oracle, Postgres, AWS RDS, and AWS Aurora
- NoSQL databases including Cassandra, Neo4j, DynamoDB, and MongoDB
- Experience designing database back-up, recovery, and archiving strategies
- Deep experience building APIs using Spring Boot, REST, and Maven
- Using Terraform to automate infrastructure provisioning on AWS; AWS Data Stack
- AWS VPC, AWS ECS, AWS Data Lake Formation
- AWS CloudWatch, AWS Cloud Trail, Lambda, EMR; Glue, Athena
- Big Data, Spark, Grafana, Datadog, Dynatrace, Splunk
- Transit Gateway, NACLs Pivota
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