Lead Software Engineer

3 weeks ago

Bengaluru, India JPMorgan Chase & Co. Full time
You will collaborate closely with business stakeholders and data scientists, address their technical challenges and take a proactive role in design and implementation decisions, turning experiments to scalable production engineering solutions. Having experience with ML engineering in commercial settings is highly desirable but not essential.
As a Lead Software Engineer at JPMorgan Chase within the Corporate & Investment Banking's Research Technology Data & Applied AI/ML team, your role will be pivotal in our mission to industrialize AI/ML models at a large scale and develop well-structured, cloud-native, data-intensive microservices and products. You will be expected to demonstrate strong hands-on software engineering skills and experience in creating modern, scalable, and cloud-native data engineering solutions. Your involvement in cutting-edge projects such as recommender systems, NLP services, and Generative AI applications will be exciting. Your proficiency and practical knowledge in modern cloud-based data architectures and technologies, building end-to-end data-intensive micro-services, including automated data pipelines and backend API development, will be highly valued. As a skilled engineer with experience in architecting and implementing distributed systems, you will be expected to uphold high standards of design and coding practices. Your passion for learning, problem-solving, creative thinking, and a can-do attitude will be essential in this role.
Job responsibilities
Your role is central to our mission: industrialization of AI/ML models at scale, developing well-architected cloud-native data-intensive microservices and products.
You are expected to have strong hands-on software engineering skills and experience in building modern, cloud-native and scalable data engineering solutions
You will engage in exciting cutting-edge projects including recommender systems, NLP services and Generative AI applications.
You have proficient and practical knowledge of modern cloud-based data architectures and technologies, building end-to-end data-intensive micro-services, including automated data pipelines and backend API development.
You are a strong engineer with experience architecting and implementing distributed systems, adopting high standards of design and coding practices.
You have a passion for learning, problem-solving, creative thinking and a can-do attitude.
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 5+ years applied experience
Proven track record in system design, architecting and developing microservices, distributed systems and data-intensive applications
Advanced experience with AWS services, Infrastructure as Code, big data and modern data engineering technologies
Strong coding skills in Python or similar programming language, API and backend development
Strong SDLC mindset and practitioner of high coding and testing standards and familiarity with agile paradigms
Must be curious, detail-oriented, results- and client-focused, highly motivated by complex analytical and data problems
Ability to convey design choices and results clearly and communicate effectively to stakeholders of various backgrounds
Excellent creative problem solver, a data enthusiast and passionate about realizing the full power of applied AI/ML and analytics in real complex and large corporate environments
Preferred qualifications, capabilities, and skills
Experience developing large-scale Cloud-native data/AI/ML engineering solutions in large corporate environments
Experience working on recommendation systems, NLP services, or other AI/ML systems
Practical experience with Kubernetes, EKS, MLOps
Prior experience collaborating with data scientists
Familiarity with modern front-end technologies, full-stack development

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