JPMorganChase
Software Engineer II- Java/ Python with AI/ML
Sorry, this job was removed
Be an Early Applicant
Similar Jobs at JPMorganChase
Financial Services
The Product Manager is responsible for innovating products, managing the product life cycle, conducting market research, and collaborating with cross-functional teams to exceed customer expectations.
Top Skills:
Adobe AnalyticsAlignJIRASplunk
Financial Services
The Client Data Analyst manages KYC compliance for clients, ensuring accurate data collection and documentation, and supports client-facing teams in maintaining relationships and compliance. The role requires strong analytical, communication, and ownership skills, with a focus on investment banking practices.
Top Skills:
AmlData AnalysisInvestment BankingKyc
Financial Services
As a Lead Data Scientist, you will develop and manage AI/ML models for compliance and risk management, leveraging advanced techniques and collaborate with cross-functional teams.
Top Skills:
AILlmsMlPythonPyTorchTensorFlow
Job Description
Play a key role in ensuring system reliability at one of the world's most iconic and largest financial institutions.
As a Software Engineer II at JPMorgan Chase within the Employee Platform, you will use technology to solve business problems and leverage software engineering best practices as we strive towards excellence. This role often works independently to execute small to medium projects, but you'll also have the opportunity to collaborate with cross functional teams to continually improve your level of knowledge about JPMorgan Chase's business and relevant technologies.
Job responsibilities
Required qualifications, capabilities, and skills
Preferred qualifications, capabilities, and skills
Play a key role in ensuring system reliability at one of the world's most iconic and largest financial institutions.
As a Software Engineer II at JPMorgan Chase within the Employee Platform, you will use technology to solve business problems and leverage software engineering best practices as we strive towards excellence. This role often works independently to execute small to medium projects, but you'll also have the opportunity to collaborate with cross functional teams to continually improve your level of knowledge about JPMorgan Chase's business and relevant technologies.
Job responsibilities
- Automate identified manual processes to reduce toil and build tools for enhanced monitoring and observability.
- Execute small to medium projects independently, progressing to designing and delivering projects autonomously.
- Leverage technology to solve business problems by writing high-quality, maintainable, and robust code following software engineering best practices.
- Participate in triaging, diagnosing, and resolving incidents, collaborating with others to address root causes.
- Recognize toil in your role and proactively work to eliminate it through systems engineering or application code updates.
- Understand observability patterns and strive to implement and improve service level indicators, objectives, monitoring, and alerting solutions for optimal transparency and analysis.
Required qualifications, capabilities, and skills
- Formal training or certification in software engineering concepts and 2+ years of applied experience
- Demonstrate coding ability in at least one programming language desirably in Java or Python and experience in maintaining cloud-based infrastructure.
- Familiar with site reliability engineering concepts and practices, including monitoring and alerting using tools like Grafana, Dynatrace, Prometheus, Datadog and Splunk.
- Knowledge on build, deployment and trouble shooting of AI/ML models.
- Knowledge on data science and ensure security and scalability of ML systems.
- Understand and work with containers or common server operating systems such as Linux and Windows.
- Collaborate effectively in a large team, vocalizing ideas with peers and managers, and adapt work plans to changing responsibilities and projects.
- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
- Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security
- Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning etc.)
Preferred qualifications, capabilities, and skills
- Familiarity with modern front-end technologies
- Exposure to cloud technologies
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
