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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.
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As a Lead Software Engineer at JPMorganChase within the Corporate Risk Technology, youâ¯are an integral part of an agile Data Platform and Strategy Team driving the design, development, and delivery of advanced data engineering solutions and market-leading technology products. With a strong SRE mindset, you will champion reliability, scalability, and operational excellence across multiple technical domains, ensuring our systems are robust, secure, and resilient. You will lead critical technology initiatives, proactively address system reliability challenges, and foster a culture of continuous improvement and automation, supporting the firmâs business objectives through innovative engineering leadership
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Job responsibilities
Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
Develops secure high-quality production code for data-intensive applications, and reviews and debugs code written by others
Drive the implementation of SRE best practices, including automated monitoring, alerting, and self-healing mechanisms to ensure high availability and reliability of data platforms
Lead root cause analysis and post-incident reviews, collaborating with other engineering team members to develop long-term solutions that prevent recurrence and improve system resiliency
Mentor and guide other engineering team members in adopting SRE principles, fostering a culture of reliability, automation, and continuous improvementâ¯
Collaborate with product, engineering, and operations teams to define and measure service level objectives (SLOs), service level indicators (SLIs), and error budgets
Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
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Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 5+ years applied experience
Proficiency in Engineering & Architecture, AI/ML with hands-on experience in designing, implementing, testing, and ensuring the operational stability of large-scale enterprise data platforms and solutions
Demonstrated expertise in applying SRE principles to drive reliability engineering, automation, and operational excellence within complex technical environment
Deep understanding of distributed systems, cloud-native architectures, and large-scale data processing, with hands-on expertise in Java, Python, and big data technologies (e.g., Spark/PySpark, Databricks, Snowflake)
Hands-on practical experience delivering system design, application development, testing, and operational stability
Experience in developing, debugging, and maintaining code (preferably in a large corporate environment) with one or more modern programming languages and database querying languages with good overlap of application & DB.â¯
Strong background in observability tools (e.g., Dynatrace, Splunk, Grafana), incident management, and performance optimization
Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Preferred qualifications, capabilities, and skills
Proficiency in automation, continuous delivery methods and all aspects of the Software Development Life Cycle
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.