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Engaged Employer

JPMorgan Chase & Co.

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4.0

based on 5.9k Reviews

Proud winner of ABECA 2024 - AmbitionBox Employee Choice Awards

Top Rated Mega Company - 2024

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674 JPMorgan Chase & Co. Jobs

Director of Software Engineering (Java, AWS, ML Ops)

JPMorgan Chase

4.0

based on 5.9k Reviews

17-20 years

Hyderabad / Secunderabad

1 vacancy

Director of Software Engineering (Java, AWS, ML Ops)

JPMorgan Chase & Co.

posted 12hr ago

Job Role Insights

Flexible timing

Key skills for the job

Python Machine Learning Product Management Javascript Big Data GCP

+ 2 more

Job Description

As a Director of Software Engineering at JPMorgan Chase within Consumer and Community Banking MLIO Team, you lead a technical area and drive impact within teams, technologies, and projects across departments. Utilize your in-depth knowledge of data, software, applications, technical processes, and product management to drive multiple complex projects and initiatives, while serving as a primary decision maker for your teams and be a driver of innovation and solution delivery.

Job Responsibilities

Play a pivotal role in defining and executing the banks machine learning strategy to drive innovation and business growth.
Manage a team of managers and individual contributors, fostering a collaborative and high-performance culture.
Lead a talented team of machine learning engineers, collaborate with cross-functional stakeholders, and own the technical roadmap for developing a unified, scalable, secure, and reliable machine learning platform.
Define and execute the vision, strategy, and roadmap for machine learning initiatives in alignment with the company s business objectives.
Drive innovation in machine learning solutions, ensuring scalability, flexibility, and future-proof architecture.
Act as a thought leader and trusted advisor to executive leadership, providing strategic recommendations on machine learning initiatives and solutions.
Architect and oversee the development of next-generation machine learning models and systems leveraging cutting-edge technologies.
Ensure the platform supports complex use cases, including real-time predictions, big data processing, and advanced analytics.
Create the right team processes, structure, and systems to build and maintain high-quality code that powers our machine learning infrastructure.
Promote software and model quality, integrity, and security across the organization.

Required qualifications, capabilities, and skills

Formal training or certification in relevant concepts and 10+ years of applied experience. Additionally, 5+ years of experience leading technologists to manage, anticipate, and solve complex technical challenges within your domain of expertise.
Proven track record of building and scaling software and or machine learning platforms in high-growth or enterprise environments.
Hands-on experience and expertise in software development frameworks and tools such as Java, Python and JavaScript.
Deep understanding of distributed systems, cloud-native architectures, and modern machine learning technologies.
Experience in cloud platforms such as AWS, GCP, or Azure.
Knowledgeable in machine learning frameworks, ML Ops tools and practices.
Strong proficiency in programming languages (eg, Python, Java) and infrastructure as code (eg, Terraform, CloudFormation).
Hands-on experience with software development pipeline and orchestration tools (eg, Jenkins, GitLab CI/CD).
Hands-on experience with big data, pipeline, orchestration tools and real-time processing frameworks.
Exceptional ability to communicate complex technical concepts to both technical and non-technical audiences.
Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field.

Preferred qualifications, capabilities, and skills

Experience working at the code level, with a strong understanding of software development practices.
AWS Certified Solutions Architect, AWS Certified Developer, or similar certification

Employment Type: Full Time, Permanent

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