Development Ops - Associate at JPMC Candidate Experience page

, , India -

Full Time

Start Date

Immediate

Expiry Date

31 Mar, 26

Salary

0.0

Posted On

31 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AWS, Java, Python, Data Management, Cloud Infrastructure, Terraform, CloudFormation, Agile Techniques, Problem Solving, Data Analysis, Continuous Integration, Continuous Deployment, Data Lake, Catalog Tables, Automation, Stakeholder Management

Industry

Financial Services

Description

Take a lead role in acquiring, managing and retaining meaningful relationships that deliver outstanding experience to our customers. In this role, you will balance your focus on business results by offering options and finding solutions to help our customers with issues. Job Summary: As a Development Ops - Associate in DART (Data, Analytics and Reporting Team), you will balance your focus on business results by offering options and finding solutions to help our customers with issues.. We are a global group with presence in US, India & Philippines. The position will be responsible for setting up future ready solutions and related infrastructure. The position will collaborate with different stakeholders and across different levels of Management and ensure that the most optimum solution is provided. Key Responsibilities Design and develop solutions utilizing AWS infrastructure. Write clean, modular code in Java or Python, adhering to design principles and best practices. Collect, organize, analyze, and disseminate large volumes of information with precision and accuracy. Identify, analyze, and interpret trends or patterns in complex data sets. Innovate new methods for managing, transforming, and validating data. Establish and enforce guidelines to ensure consistency, quality, and completeness of data assets. Identify opportunities for improvement and efficiency gains within data processes. Develop automated solutions for business and internal partners. Assess and implement new tools and technologies to deliver business value at scale. Build and maintain tools to enhance the data analyst experience and implement automated risk mitigation. Partner closely with business and tech stakeholders to identify impactful projects, influence key decisions with data, and ensure client satisfaction. Required Qualifications, Capabilities, and Skills Bachelor’s degree with 7+ years experience or Master’s degree with 5+ year experience in a quantitative field (e.g., Computer Science, Engineering). Formal training or certification on software engineering concepts and applied experience Strong knowledge of infrastructure and services in Cloud platform, on AWS. Strong, scripting skills in languages like Java or Python, with good coding hands-on skills to write clean, modular code following design principles Experienced in programming with Python or Java, developing unit test cases and experience in Continuous Integration and Continuous Deployment (CICD) Familiar with Terraform, CloudFormation, or any infrastructure as code Disciplined in development and adherence to best practices and standards Demonstrated independent problem-solving skills and ability to develop solutions to complex analytical or data-driven problems Experienced with data management processes on AWS (Data Lake, Catalog Tables, CMS registration) Experienced working in development teams using agile techniques Preferred Qualifications, Capabilities, and Skills Intellectually curious, eager to learn new things with an eye towards innovation Strategic, able to focus on business goals Excellent, at solving unstructured problems independently Highly organized, able to prioritize multiple tasks Strong, communicators able to build relationships with key stakeholder

Responsibilities

The Development Ops - Associate will design and develop solutions utilizing AWS infrastructure while collaborating with various stakeholders. The role involves innovating methods for managing and validating data and developing automated solutions for business partners.