Sales Lead

Data Engineer MS Data Engineer + Snowflake/databrics Required Skills: · 6 to 8 years of being a practitioner in data engineering or a related field. Should have experience in Snowflake or Databricks. Experience with data processing frameworks like Apache Spark or Hadoop. Experience working on Databricks. Familiarity with cloud platforms (AWS, Azure) and their data services. Experience with data warehousing concepts and technologies. Experience with message queues and streaming platforms (e.g., Kafka). Excellent communication and collaboration skills. Ability to work independently and as part of a geographically distributed team. 

• 6+ years of experience in software development with strong expertise in Java (8+), JavaScript, HTML, CSS, PL/SQL.
• Hands-on expertise in frameworks and tools: Spring Boot, ReactJS, NodeJS, REST, SOAP.
• Version Control: Proficient in Git.
• Backend & Databases: Experience with Oracle and Postgres DB (Shining Stars).
• CI/CD Tools: Skilled in Jenkins, GitHub, TDD/BDD.
• Testing Tools: Practical experience with ReadyAPI, Postman, Jest, JUnit.
• Cloud Technologies: Exposure to OCI, Azure, AWS.
• AI Tools: Familiar with GitHub Copilot.
• Containerization & Architecture: Proficient in Docker, Kubernetes (K8s), Microservices, Microfrontend.
• Nice to Have: Test automation experience with Selenium, Java Cucumber, and Kafka

Introduction

About Us:

Mercari is a Japan-based C2C marketplace company founded in 2013 with the mission to “Create value in a global marketplace where anyone can buy & sell.” From being the first tech unicorn from Japan before its IPO in 2018 we have come a long way towards becoming a global player and continuously and diligently work towards our transformation journey with a strong focus on our mission.

Since its inception, Mercari Group has worked to grow its services, investing in both our people and technology. Over time Mercari has expanded from being the top player in the C2C marketplace in Japan to new geographies like the U.S. We have also successfully launched new businesses such as Merpay, which is a mobile payment service platform with a vision to create a society where anyone can realize their dreams through a new ecosystem centered not only on payment service but also on credit. Today, Mercari Group is made up of multiple subsidiary businesses including logistics, B2C platform, blockchain, and sports team management.

For our services to be utilized by people worldwide; however, there is still a mountain of work ahead of us. This endeavor naturally requires the capability of the best talent and minds, and that is exactly the reason for us to launch the India Center of Excellence. With your help, we will continue to take on the world stage and strive to grow into a successful global tech company.

Our Culture:

To achieve our mission at Mercari, our organization and each of our employees share the same values and perspectives. Our individual guidelines for action are defined by our four values: Go Bold, All for One, Be a Pro and Move Fast. Our organization is also shaped by our four foundations: Sustainability, Diversity & Inclusion, Trust & Openness, and Well-being for Performance. Regardless of how big Mercari gets, the culture will remain essential to achieving our mission and something we want to preserve throughout our organization. We invite you to read the Mercari Culture Doc which summarizes the behaviors and mindset shared by Mercari and its employees. We continue to build an environment where all of our members of diverse backgrounds are accepted and recognized, and where they can thrive while holding dear to Mercari’s culture.

Work Responsibilities

• Machine learning engineers working in the Recommendation domain develop the functions and services of the marketplace app Mercari through the development and maintenance of machine learning systems like Recommender systems while leveraging necessary infrastructure and companywide platform tools. 
• Mercari is actively applying advanced machine learning technology to provide a more convenient, safer, and more enjoyable marketplace. Machine learning engineers use the cloud and Kubernetes to operate and improve machine learning systems.

Bold Challenges

• We are looking for people who are interested in our services, mission, and values, and want to work where engineers can go bold, use the latest technology, make autonomous decisions, and take on challenges at a rapid pace.
• Develop and optimize machine learning algorithms and models to enhance recommendation system to improve discovery experience of users
• Collaborate with cross-functional teams and product stakeholders to gather requirements, design solutions, and implement features that improve user engagement
• Conduct data analysis and experimentation with large-scale data sets to identify patterns, trends, and insights that drive the refinement of recommendation algorithms
• Utilize machine learning frameworks and libraries to deploy scalable and efficient recommendation solutions.
• Monitor system performance and conduct A/B testing to evaluate the effectiveness of features.
• Continuously research and stay updated on advancements in AI/machine learning techniques and recommend innovative approaches to enhance recommendation capabilities.

Minimum Requirements:

• Over 5-9 years of professional experience in end-to-end development of large-scale ML systems in production
• Strong experience demonstrating development and delivery of end-to-end machine learning solutions starting from experimentation to deploying models, including backend engineering and MLOps, in large scale production systems.
• Experience using common machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, NumPy, pandas)
• Deep understanding of machine learning and software engineering fundamentals
• Basic knowledge and skills related to monitoring system, logging, and common operations in production environment
• Communication skills to carry out projects in collaboration with multiple teams and stakeholders

Preferred skills:

• Experience developing Recommender systems utilizing large-scale data sets
• Basic knowledge of enterprise search systems and related stacks (e.g. ELK)
• Functional development and bug fixing skills necessary to improve system performance and reliability
• Experience with technology such as Docker and Kubernetes
• Experience with cloud platforms (AWS, GCP, Microsoft Azure, etc.)
• Microservice development and operation experience with Docker and Kubernetes
• Utilizing deep learning models/LLMs in production
• Experience in publications at top-tier peer-reviewed conferences or journals

Employment Status

Full-time

Office

Bangalore

Hybrid workstyle

• We believe in high performance and professionalism. We work from office for 2 days/week and work from home 3 days/week
• To build a strong & highly-engaged organization in India, we highly encourage everyone to work from our Bangalore office, especially during the initial office setup phase
• We will continue to review and update the policy to address future organizational needs

Work Hours

• Full flextime (no core time)

*Flexible to choose working hours other than team common meetings

Media

Owned Media

• Mercari Engineering Portal
• AI at Mercari portal
• Mercan - Introduces the people that make Mercari
• Mercari US Blog

Related Articles

• Development Platforms and Platformers: On Rising to the Global Standard Ken Wakasa, Mercari CTO | mercan
• “I'm Not a Talented Engineer” Insists the Member-Turned-Manager Revamping Our Internal CS Tool | mercan
• Personalize to globalize:How Mercari is reshaping their app, their company, and the world | mercan
• The Providers of the Safe and Secure Mercari Experience: The TnS Team, Introduced by Its Members! | mercan

Job Title: DevOps Trainer

We are seeking a motivated and technically proficient DevOps Trainer with around 2 years of hands-on experience in DevOps practices and tools. The ideal candidate should be passionate about sharing knowledge and mentoring aspiring professionals on CI/CD, containerization, cloud infrastructure, and automation tools. A willingness to quickly ramp up on emerging technologies based on business needs is essential. The role also demands the ability to conduct engaging training sessions across both virtual and in-person formats.

Key Responsibilities:

• Conduct instructor-led training sessions on key DevOps topics such as:
• CI/CD pipelines (Jenkins, GitLab CI, etc.)
• Infrastructure as Code (Terraform, Ansible)
• Containerization (Docker, Kubernetes)
• Cloud Platforms (AWS/Azure/GCP basics)
• Monitoring and Logging tools (Prometheus, Grafana, ELK Stack)
• Design and update curriculum, training material, hands-on labs, and assessments
• Facilitate workshops, bootcamps, and real-world project simulations
• Guide and mentor students or professionals during their capstone projects
• Collaborate with the L&D team to continuously improve training delivery and learner engagement
• Stay updated with emerging tools and practices in the DevOps landscape

Skills & Qualifications:

• Bachelor's degree in Computer Science, IT, or related field
• Around 2 years of industry experience in a DevOps role or equivalent
• Proficiency in scripting (Bash, Python, or Shell)
• Solid understanding of version control (Git), CI/CD pipelines, and automation
• Good exposure to Docker and Kubernetes
• Basic knowledge of any cloud platform (AWS/GCP/Azure)
• Prior experience in training or mentoring (preferred but not mandatory)
• Strong communication and presentation skills
• Ability to explain complex topics in a simple and engaging way

Good to Have:

• DevOps/Cloud certifications (e.g., AWS Certified DevOps Engineer, CKA)
• Experience with LMS platforms and virtual labs
• Familiarity with Agile practices and DevSecOps

Required Skills

• 4-6 years of professional experience building server applications with Node.js and the Spring framework.
• Experience working with the AWS Development stack, including: Lambda, API Gateway, DynamoDB, Cognito, Mobile Analytics, EC2 and RDS

Experience working with a handful of the following:

• relational databases: MySQL, or PostgreSQL or Oracle
• document-based data stores: MongoDB or CouchDB,
• key-value stores: DynamoDB, Redis, Memcached
• column-stores: Cassandra, Vertica
• Ability to work with front-end web technologies, like: HTML5/CSS3/Angular/Bootstrap
• Strong familiarity with *nix command line operations

Job Description:  

Responsibilities: 

• Completing all tasks set by the supervisor and assisting wherever possible.  
• Observing existing strategies, techniques of coding, debugging, testing and adopting to the same 
• Ability to maintain composure under pressure 
• Ability to work in a team. 
• Good observation skills and a willingness to learn. 

Skills: 

• Proficiency in data structures and algorithms 
• Good problem solving and analytical thinking skills 
• Knowledge of Linux systems 
• Python coding knowledge 
• Knowledge of object-oriented programming 
• Good verbal and written communication skills.  

Requisition Raised by:  

Engineering Director 

• IMMEDIATE JOINEE
  BA/BS degree in Computer Science or related technical field or equivalent work experience. MS degree is preferred.
• 9+ years development experience in JAVA (using OO Design and Analysis, Design Patterns, etc.)
• High experience in Java 8 with hands on coding Required.
• 4+ years’ experience building highly scalable, distributed and reliable Restful Web Services using Spring, Jersey, etc.
• Should have knowledge on Cloud applications preferably on AWS.
• Knowledge on building Front end applications using JavaScript, AngularJS, HTML5, CSS3.
• Experience with relational DBs like MySQL and NoSQL Database like MongoDB, Solr/Lucene will be a plus.
• Experience with Tomcat, Jax-RS, REST, JPA, IntelliJ, Groovy, Hibernate is must.
• Experience with build technologies like Gradle, Jenkins will be a plus.
• Experience with Test Driven Development using TestNG/Junit testing frameworks.
• Experience working with version control like GIT.
• 8+ years (or more) experience shipping quality code
• 4+ years’ experience with leading frontend frameworks like Angular 1 to 8 or ReactJS, etc.
• Experience on Ionic Framework, Cardova
• Experience contributing front-end code to a publicly available, consumer-focused web application.
• Solid experience and understanding of HTML5, CSS3, and Javascript (vanilla JS and popular libraries like Underscore.js and jQuery)
• Experience with REST-based APIs
•