Mastercard

Data Analytics and AI

SoftwareEngineeringManager

Pune, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Software Engineering Manager at Mastercard. Skills: Software Engineering Management, Analytics and AI solutions development, Full-stack application development, Data-driven application development, Machine learning systems implementation. Lead strategic technical direction for applications, architectures, and development processes. Lead and push the boundaries of analytics and powerful, scalable applications”

What You'll Achieve.

Deliver high-quality solutions; Deliver well-tested code; Maximize ROI for the program; Drive smarter decisions and better outcomes for customers

Industry & Context.

Data Analytics and AI
Problems you'll solve

Solve complex technical problems; Analytical / quantitative problem solving

What They're Looking For.

Must Have

10+ years of engineering experience in an agile production environment, Experience leading the design and implementation of complex features in full-stack applications, Proficiency with object-oriented languages, preferably Java/ Spring, alternatively C#, Proficiency with modern front-end frameworks, preferably React with Redux, Typescript, Fluent in the use of Git, Jenkins, Solid experience with RESTful APIs and JSON/SOAP based API, Solid experience with SQL, Multi-threading, Message Queuing, Experience in building and deploying production-level data-driven applications and data processing, workflows/pipelines and/or implementing machine learning systems at scale in Java, Scala, or Python and deliver analytics involving all phases, Data engineering or data science background with understanding of data pipelines, architecture, infrastructure, and management, Knowledge of enterprise application security protocols and concepts, Expertise with automated E2E and unit testing frameworks, Knowledge of Splunk or other alerting and monitoring solutions, technologist eager to learn new technologies and frameworks, Experience coaching and mentoring junior teammates, Customer-centric development approach, Passion for analytical / quantitative problem solving, Ability to identify and implement improvements to team development processes, collaboration skills with experience collaborating across many people, roles, and geographies, Motivation, creativity, self-direction, and desire to thrive on small project teams, Superior academic record with a degree in Computer Science or related technical field, written and verbal English communication skills, Abide by Mastercard’s security policies, Ensure the confidentiality and integrity of the information being, Report any suspected information security violation or breach, Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines

Nice to Have

Hands-on experience with Python or Scala is preferred, expertise in Hadoop platforms and related tools, Hands on experience of cloud native development using microservices, Hands on experience on Kafka, Zookeeper

What You'll Do.

Lead strategic technical direction for applications

and development processes

Lead and push the boundaries of analytics and powerful

scalable applications

Act as a contributor to product implementation while empowering your team

Champion innovation by exploring and adopting new technologies and methodologies

Lead with an agile mindset

adapting to changes quickly and guiding your team to pivot when needed

and develop a cross-functional engineering team to deliver high-quality solutions and well-tested code

Foster a culture of accountability

and continuous learning

Ensure projects meet customer demands while scaling platform solutions for future growth

How You'll Work.

Team & Collaboration

Collaborate across teams and business units to solve complex technical problems and ensure alignment; Partner with Product Managers and Customer Experience Designers to define roadmaps, scope features, and plan releases; Experience collaborating across many people, roles, and geographies

Communication Scope

Written and verbal English communication skills

Process & Methodology

Plan releases

Full Job Description

**Our Purpose** _Mastercard powers economies and empowers people in 200 + countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._ **Title and Summary** ### Software Engineering Manager ### Overview: Mastercard Services enables customers across industries and geographies to make smarter decisions and reach better outcomes with a tailored portfolio of solutions beyond the transaction. If you thrive in a fast-paced, agile environment, value creativity and technical excellence, and are eager to make a meaningful impact, this is the role for you. The Services global product team is seeking a Manager, Software Engineering to accelerate the development of Analytics & AI solutions within the Data Analytics and AI product suite. The goal of this team is to build AI products that drive smarter decisions and better outcomes for customers, applying AI responsibly, and leveraging in-house and 3rd party assets and capabilities effectively to maximize ROI for the program. Engineers work in small, flexible teams. Every team member contributes to designing, building, and testing features. The range of work you will encounter varies from building intuitive, responsive UIs to designing backend data models, architecting data flows, and beyond. There are no rigid organizational structures, and each team uses processes that work best for its members and projects. Position Responsibilities: As a Manager, Software Engineering, you will: Lead strategic technical direction for applications, architectures, and development processes. Lead and push the boundaries of analytics and powerful, scalable applications Act a

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