Web Designer - WordPress

Technical Leadership: Lead, mentor, and inspire a team of engineers to deliver high-

quality software solutions. Provide technical guidance and support to team members,ensuring adherence to coding standards and best practices.

• Full Stack Development: Hands-on coding in ReactJS, Golang, or Java to contribute

directly to project deliverables. Lead by example, demonstrating best practices in coding,

design, and testing.

• Micro services and Cloud-Native Architecture: Design, implement, and maintain

microservices architecture for scalable and resilient applications. Leverage cloud-native

technologies and principles to build robust and efficient systems.

• Squad Management: Independently manage engineering squads, ensuring effective

collaboration and delivery of project goals. Foster a positive and collaborative team

culture, encouraging innovation and continuous improvement.

• Cross-Functional Collaboration: Collaborate with product managers, UX/UI designers,

and other stakeholders to define project requirements and priorities. Ensure alignment

between technical solutions and business objectives.

• Technology Stack Expertise: Stay updated on industry trends and emerging

technologies. Evaluate and introduce new technologies/tools to enhance the

development process.

About Us

MatchMove is a leading embedded finance platform that empowers businesses to embed financial services into their applications. We provide innovative solutions across payments, banking-as-a-service, and spend/send management, enabling our clients to drive growth and enhance customer experiences.

Are You The One?

As a Technical Lead Engineer - Data, you will architect, implement, and scale our end-to-end data platform built on AWS S3, Glue, Lake Formation, and DMS. You will lead a small team of engineers while working cross-functionally with stakeholders from fraud, finance, product, and engineering to enable reliable, timely, and secure data access across the business.

You will champion best practices in data design, governance, and observability, while leveraging GenAI tools to improve engineering productivity and accelerate time to insight.

You will contribute to

• Owning the design and scalability of the data lake architecture for both streaming and batch workloads, leveraging AWS-native services.
• Leading the development of ingestion, transformation, and storage pipelines using AWS Glue, DMS, Kinesis/Kafka, and PySpark.
• Structuring and evolving data into OTF formats (Apache Iceberg, Delta Lake) to support real-time and time-travel queries for downstream services.
• Driving data productization, enabling API-first and self-service access to curated datasets for fraud detection, reconciliation, and reporting use cases.
• Defining and tracking SLAs and SLOs for critical data pipelines, ensuring high availability and data accuracy in a regulated fintech environment.
• Collaborating with InfoSec, SRE, and Data Governance teams to enforce data security, lineage tracking, access control, and compliance (GDPR, MAS TRM).
• Using Generative AI tools to enhance developer productivity — including auto-generating test harnesses, schema documentation, transformation scaffolds, and performance insights.
• Mentoring data engineers, setting technical direction, and ensuring delivery of high-quality, observable data pipelines.

Responsibilities

• Architect scalable, cost-optimized pipelines across real-time and batch paradigms, using tools such as AWS Glue, Step Functions, Airflow, or EMR.
• Manage ingestion from transactional sources using AWS DMS, with a focus on schema drift handling and low-latency replication.
• Design efficient partitioning, compression, and metadata strategies for Iceberg or Hudi tables stored in S3, and cataloged with Glue and Lake Formation.
• Build data marts, audit views, and analytics layers that support both machine-driven processes (e.g. fraud engines) and human-readable interfaces (e.g. dashboards).
• Ensure robust data observability with metrics, alerting, and lineage tracking via OpenLineage or Great Expectations.
• Lead quarterly reviews of data cost, performance, schema evolution, and architecture design with stakeholders and senior leadership.
• Enforce version control, CI/CD, and infrastructure-as-code practices using GitOps and tools like Terraform.

 Requirements

• At-least 6 years of experience in data engineering.
• Deep hands-on experience with AWS data stack: Glue (Jobs & Crawlers), S3, Athena, Lake Formation, DMS, and Redshift Spectrum.
• Expertise in designing data pipelines for real-time, streaming, and batch systems, including schema design, format optimization, and SLAs.
• Strong programming skills in Python (PySpark) and advanced SQL for analytical processing and transformation.
• Proven experience managing data architectures using open table formats (Iceberg, Delta Lake, Hudi) at scale.
• Understanding of stream processing with Kinesis/Kafka and orchestration via Airflow or Step Functions.
• Experience implementing data access controls, encryption policies, and compliance workflows in regulated environments.
• Ability to integrate GenAI tools into data engineering processes to drive measurable productivity and quality gains — with strong engineering hygiene.
• Demonstrated ability to lead teams, drive architectural decisions, and collaborate with cross-functional stakeholders.

 Brownie Points

• Experience working in a PCI DSS or any other central bank regulated environment with audit logging and data retention requirements.
• Experience in the payments or banking domain, with use cases around reconciliation, chargeback analysis, or fraud detection.
• Familiarity with data contracts, data mesh patterns, and data as a product principles.
• Experience using GenAI to automate data documentation, generate data tests, or support reconciliation use cases.
• Exposure to performance tuning and cost optimization strategies in AWS Glue, Athena, and S3.
• Experience building data platforms for ML/AI teams or integrating with model feature stores.

 MatchMove Culture:

• We cultivate a dynamic and innovative culture that fuels growth, creativity, and collaboration. Our fast-paced fintech environment thrives on adaptability, agility, and open communication.
• We focus on employee development, supporting continuous learning and growth through training programs, learning on the job and mentorship.
• We encourage speaking up, sharing ideas, and taking ownership. Embracing diversity, our team spans across Asia, fostering a rich exchange of perspectives and experiences.
• Together, we harness the power of fintech and e-commerce to make a meaningful impact on people's lives.

Grow with us and shape the future of fintech and e-commerce. Join us and be part of something bigger!

Role Overview

As a Data Scientist, you will play a key role in improving and optimising the models that drive real-time speech AI. You’ll work on analysing, processing, and modelling data to make our systems smarter.

Specifically, you’ll:

• Develop and fine-tune Speech to Speech machine learning models
• Experiment with data-driven solutions to enhance AI performance.
• Work on feature engineering and dataset preparation to train robust models.
• Collaborate with the team to evaluate and deploy models into production.

What we’re looking for:

• Strong problem-solving skills, paired with a passion for learning.
• 1-3 years of experience in Data Science and related fields.
• Experience with speech processing or NLP.
• Proficiency in Python and familiarity with data science libraries.
• Understanding of machine learning frameworks (e.g., TensorFlow, PyTorch).
• Familiarity with working on datasets and data preprocessing techniques.

Designation - Sr. Frontend developer 

Location - Pune, Maharashtra, India (Onsite)

Work mode - Hybrid 

Salary - Best in the Industry 

Flexible working hours 

Requirement:-

4+ years of production experience with React JS and associated tooling (Redux, Jest, Cypress & BuildPacks)

3 years of JavaScript (and preferably Typescript) experience including asynchronous programming, closures, types, and ES6/ES7.

Thorough understanding of React.js and its core principles including Virtual DOM, Data Binding, State & Props and React Lifecycle and Redux Middleware such as Thunk or Saga.

Experience with front-end technologies such as HTML5, CSS3, LESS, Bootstrap, Material UI, etc.

Experience with code quality and reusability practices (eslint, prettier, CI/CD for front-end repos)

Knowledge of cross-browser compatibilities, responsiveness, and web accessibility standards.

Strong understanding of software engineering best practices, including unit testing, code reviews, design documentation, debugging, troubleshooting, and agile development

Have implemented complex features like authentication/authorization, I18N, logging, security, and testing into developer boilerplates to minimize production errors.

Must-Have Skills:-

ReactJS 16+

Redux

Redux middleware

CSS, PostCSS, JSS (Critical)

TypeScript / Javascript

Communication: You like discussing a plan upfront, welcome collaboration, and are an excellent verbal and written communicator.

Qualification:-

Bachelor’s degree in Computer Science or equivalent experience.

Please find the JD below: 

• Candidate should have good Platform experience on Azure with Terraform. 
• The devops engineer needs to help developers, create the Pipelines and K8s Deployment Manifests. 
• Good to have experience on migrating data from (AWS) to Azure. 

• To manage/automate infrastructure automatically using Terraforms. Jenkins is the key CI/CD tool which we uses and it will be used to run these Terraforms. 
• VMs to be provisioned on Azure Cloud and managed. 
• Good hands-on experience of Networking on Cloud is required. 
• Ability to setup Database on VM as well as managed DB and Proper set up of cloud hosted microservices needs to be done to communicate with the db services. 
• Kubernetes, Storage, KeyValult, Networking (load balancing and routing) and VMs are the key infrastructure expertise which are essential. 

• Requirement is to administer Kubernetes cluster end to end. (Application deployment, managing namespaces, load balancing, policy setup, using blue green/canary deployment models etc). 
• The experience in AWS is desirable. 
• Python experience is optional however Power shell is mandatory. 
• Know-how on the use of GitHub 
• Administration of Azure Kubernetes services 

• Developing new user-facing features using React.js.
• Build reusable components and front-end libraries for future use.
• Translate designs and wireframes into high-quality code.
• Optimize components for maximum performance across a vast array of web-capable devices and browsers.
• Design a modern highly responsive web-based user interface.

Skills and Competencies;

• Bachelor's degree in computer science preferred.
• 3-5 years of demonstrated experience.
• Good knowledge of HTML5, CSS3.
• Strong proficiency in Javascript.
• Strong working knowledge of React JS and web apps.
• Good working experience using API in UI development.
• Should be able to do responsive design and cross-browser compatibility.
• Willingness to experiment and take complete responsibility for projects.
• Work independently and remote, with excellent follow-up, time management, and organization skills.
• Any additional knowledge of/familiarity with programming, in general, would be a great added bonus.
• Knowledge of Jira/confluence.
• Familiarity with code versioning tools such as Git.
• A team player with a problem-solving aptitude.
• Fluent in a second language preferred, good level of verbal English required.