
Senior Data (Platform) Engineer
Location: Hyderabad | Department: Technology, Data
About the Role
Are you passionate about building reliable, scalable data platforms that make analytics and AI development easier? As a Senior Data Platform Engineer, you will be hands-on in building, operating, and improving our core data platform and AI/LLM enablement tooling.
You’ll focus on infrastructure, orchestration, CI/CD, and reusable frameworks that support analytics engineering and AI-driven use cases. You’ll work closely with Analytics Engineering and Insights teams and support other departments as they integrate with our data systems.
What You'll Do
Data Platform & Infrastructure
- Build, deploy, and operate cloud infrastructure for data and AI workloads using Infrastructure as Code (Terraform).
- Provision and manage cloud resources across development, staging, and production environments.
- Develop and maintain CI/CD pipelines for data transformations, orchestration workflows, and platform services.
- Operate and scale containerized workloads on Kubernetes, including Airflow, internal APIs, and AI/LLM services.
- Troubleshoot and resolve infrastructure, pipeline, and orchestration failures to ensure platform reliability.
- Maintain and support existing ML services and pipelines to ensure stability and reliability (No expectation to design or develop new ML models or training pipelines).
- Continuously monitor and optimize platform performance and cost.
Framework, Tooling and Enablement
- Build and maintain reusable frameworks and patterns for dbt, Airflow, Cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks, etc.), Internal data and AI APIs
- Build and support infrastructure and pipelines for AI/LLM-based use cases, including orchestration, integration, and serving.
- Improve developer experience for Analytics Engineering and Insights teams by reducing friction in local development, deployments, and production workflows.
- Create and maintain technical documentation and examples to support self-service analytics and data development.
What You’ll Need
Technical Skills & Experience
- 5+ years of experience in data engineering, platform engineering, or similar hands-on roles.
- Strong programming skills in Python and SQL.
- Hands-on experience with:
- Terraform
- Airflow
- dbt
- Kubernetes
- Cloud platforms (AWS, Google Cloud, or Microsoft Azure)
- CI/CD pipelines (GitHub Actions, GitLab CI, CircleCI, etc.)
- Cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks, etc.)
- Strong understanding of analytical data models and how analytics teams consume data.
- Experience integrating and operating LLM-based pipelines and services (not model training).
Soft Skills & Collaboration
- Strong problem-solving skills and ability to debug complex platform issues.
- Strong preference for declarative development, with the ability to clearly separate what a system should do from how it is implemented.
- Clear communicator who can work effectively with both technical and non-technical stakeholders.
- Pragmatic, ownership-driven mindset with a focus on reliability and simplicity.
Why Join Us?
We welcome people from all backgrounds who seek the opportunity to help build a future where we connect the dots for international property payments. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world of PropTech forward, together.
Redpin, Currencies Direct and TorFX are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, colour, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.

About Redpin
About
At Redpin, our mission is to bring global citizens and businesses together by simplifying life’s most important payments.
Our world-class payments network and human-centric customer service touches a vast global community across 15,000+ partners, 235 territories and two flagship brands, Currencies Direct and TorFX. We are reshaping the age old property market by connecting the dots across the entire ecosystem, from buyers and sellers, to legal service firms and title companies to property management, banks and real estate agents.
Our goal is to become the leader in payments and embedded software for international property. We are a diverse team of over 800 employees across 10 offices worldwide, working together to connect the dots for hundreds of thousands of customers around the world.
By combining the brightest minds in global tech with our integrated portfolio of market-leading products and services, we are carving out a path to transform the global property market, making it faster, simpler and safer to buy property abroad.
Tech stack
Candid answers by the company
Hyderabad
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Job Description
Condé Nast has a huge global footprint across 32 countries worldwide with total monthly visitors reaching more than 550 million. We aim to inspire, inform and entertain our audiences through our portfolio of well known brands such as Vogue, Wired, Vanity Fair, Architectural Digest, GQ and many other leading brands.
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Collaborate with other disciplines (engineering, design, product) in the creation and iteration of web applications built for our subscribers
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Helping leading projects from ideation to execution to maintenance
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Collaborating with the broader engineering group on new ideas or improving existing ones
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Identify and improve code and usability performance issues
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Participate in design and code reviews
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Helping us grow and expand our engineering teams
About you
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Strong analytical and problem solving skills
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Expert level fluency in at least 1 programing language
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Experience working with, designing, and deploying production-grade React/Ember applications
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Experience working with and helping Design Systems
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Familiarity and experience with designing, and deploying production-grade RESTful APIs, experience and knowledge of GraphQL APIs a plus
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Strong end-to-end testing experience and an emphasis on TDD methodologies
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Eager to learn about new technologies and implementing these ideas in a production environment
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Languages and Frameworks: JavaScript, Node, React, Ember
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Data: Mongo, Postgres, Elasticsearch, Kafka
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Deployment: Docker, AWS, Terraform, Kubernetes, CircleCI
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Datadog, Kibana, Elastic search - for observing our platform
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APIs: GraphQL
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Source Control: Git, GitHub
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Pairing. We like knowledge sharing and upskilling
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(Oncall - teams are responsible for their own apps)
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