Platform Engineer
Full Time
Bengaluru, Karnataka, India
We are in the process of enhancing our platform team to perform our product implementations and workflow automations across markets. We are seeking a highly skilled Senior Platform Engineer with experience in Python/Java/Scala Application frameworks, SQL and a strong foundation in cloud technologies like Kubernetes and Docker. Knowledge of Data Engineering and integration with third-party APIs will be a plus. As a key member of the SaaS platform team, You will be responsible for defining the workflow, fit our product into that workflow, deploy our product and deliver the workflow on the product including any additional utilities and upstream/downstream system integrations required. You will play a crucial role in defining platform strategies, driving automation, improving reliability, and ensuring high availability of the system.
Responsibilities
Design, develop, and deploy workflows: Implement end-to-end workflows and integrate them with upstream and downstream systems.
Build and maintain third party API integrations: Write clean, scalable, and efficient Python code leveraging popular frameworks such as Flask , FastAPI, Spring, Play.
Cloud Infrastructure Development: Work with cloud platforms (AWS) and use Kubernetes and Docker to deploy and scale applications.
Data Pipeline Development: Collaborate with the data engineering team to integrate Python applications with SQL/NoSQL databases and manage ETL pipelines.
DevOps Practices: Ensure smooth CI/CD, logging, and monitoring of platform services.
Develop utilities and integration components: Build reusable utilities and components required for workflow automation and integration with other services.
Security enhancement : Collaborate with the security team to ensure platform security, implementing best practices in identity management, and data protection.
Collaborate with cross-functional teams: Work with engineering, product, and data science and QA teams to deliver robust SaaS platform features.
Skills & Competencies
5+ years of coding experience with Python, Java, Scala, SQL, and associated frameworks (Flask, Django, Spring , Play framework etc.).
Experience with Data Engineering concepts and tools like ETL pipelines, data modeling, and SQL-based databases.
Exposure to Big Data tools like Spark (scala/python), Kafka, or Airflow would be an added advantage.
Proficient in working with RESTful APIs and third-party API integrations.
Familiarity with CI/CD tools like Jenkins, GitLab, or similar.
Excellent problem-solving skills and a passion for automation and workflow improvement.
Experience in building services for SaaS platforms with containerization technologies like Docker and Kubernetes is a plus.
Scienaptic is the world's leading AI-powered Credit Underwriting platform. Designed by seasoned Chief Risk Officers, its platform is creating industry-leading business impact in terms of lifts such as higher approvals (15-40%) and lower credit losses (10-25%). Last year alone, Scienaptic helped financial institutions evaluate 45 million credit applicants and approve over 15 million of them. Scienaptic's clients include Fortune 100 banks, credit unions, regional banks and FinTech's.