Python Developer

About the role:

We’re looking for a highly skilled and self-driven Node.js Software Development Engineer (SDE-2) to join our team on a contract basis. You’ll be responsible for building scalable backend services and APIs that power our products, with a focus on performance, security, and reliability.

As an SDE-2, you’re expected to take ownership of features end-to-end, mentor junior developers when needed, and contribute to architectural discussions.

Key Responsibilities

• Design, build, and maintain RESTful, gRPC, and/or GraphQL APIs using Node.js
• Write clean, modular, and testable code
• Collaborate closely with product managers, frontend engineers, and DevOps teams
• Optimize existing codebases for performance and scalability
• Integrate with third-party services and internal microservices
• Participate in code reviews and ensure coding best practices are followed
• Write unit and integration tests (e.g., using Jest, Mocha, etc.)

Required Skills & Experience

• 3–5 years of experience building production-grade backend applications
• Strong proficiency in Node.js (Express.js, NestJS, or similar frameworks)
• Solid understanding of JavaScript/TypeScript
• Experience with MongoDB, PostgreSQL, or MySQL
• Experience building APIs that scale — rate limiting, caching, pagination, etc.
• Good understanding of async patterns (Promises, async/await, queues)
• Familiarity with CI/CD, Git workflows, and containerized deployments (Docker)
• Experience working with cloud services (AWS/GCP/Azure)

Nice to Have

• Experience with microservices architecture
• Familiarity with message brokers (Kafka, RabbitMQ, etc.)
• Experience working in Agile or Scrum teams
• Contributions to open-source projects or tech blogs

• Experience in either of these Relational DB’s MS SQL Server / PostgreSQL / AWS Aurora DB / MySQL / Oracle / NOSQL DBs (MongoDB / DynamoDB / DocumentDB) in an application development environment and eagerness to switch DB.
• Design database tables, views, indexes
• Write functions and procedures for Middle Tier Development Team
• Work with any front-end developers in completing the database modules end to end (hands-on experience in parsing of JSON & XML in Stored Procedures would be an added advantage).
• Query Optimization for performance improvement
• Design & develop SSIS Packages or any other Transformation tools for ETL

• Banking / Insurance / Retail domain would be a plus.
• Interaction with a client a plus

• Knowledge in a Cloud Platform (AWS / Azure)
• Knowledge on version control system (SVN / Git)
• Exposure to Quality and Process Management
• Knowledge in Agile Methodology

• Team building (attitude to train, work along, mentor juniors)
• Communication skills (all kinds)
• Quality consciousness
• Analytical acumen to all business requirement
• Think out-of-box for business solution

Hi All,

We are hiring!!

Company: SpringML India Pvt Ltd.

Role:Lead Data Engineer

Location: Hyderabad  

Website: https://springml.com/">https://springml.com/

About Company:

At SpringML, we are all about empowering the 'doers' in companies to make smarter decisions with their data. Our predictive analytics products and solutions apply machine learning to today's most pressing business problems so customers get insights they can trust to drive business growth.

We are a tight-knit, friendly team of passionate and driven people who are dedicated to learning, get excited to solve tough problems and like seeing results, fast. Our core values include placing our customers first, empathy and transparency, and innovation. We are a team with a focus on individual responsibility, rapid personal growth, and execution. If you share similar traits, we want you on our team.

What's the opportunity?

SpringML is looking to hire a top-notch Lead Data Engineer who is passionate about working with data and using the latest distributed framework to process large dataset.

As a Lead Data Engineer, your primary role will be to design and build data pipelines. You will be focused on helping client projects on data integration, data prep and implementing machine learning on datasets. 

In this role, you will work on some of the latest technologies, collaborate with partners on early win, consultative approach with clients, interact daily with executive leadership, and help build a great company. Chosen team members will be part of the core team and play a critical role in scaling up our emerging practice.

Responsibilities:

•  Ability to work as a member of a team assigned to design and implement data integration solutions.
•  Build Data pipelines using standard frameworks in Hadoop, Apache Beam and other open-source solutions.
•  Learn quickly – ability to understand and rapidly comprehend new areas – functional and technical – and apply detailed and critical thinking to customer solutions.
•  Propose design solutions and recommend best practices for large scale data analysis

Skills:

•  B.tech degree in computer science, mathematics or other relevant fields.
•  6+years of experience in ETL, Data Warehouse, Visualization and building data pipelines.
•  Strong Programming skills – experience and expertise in one of the following: Java, Python, Scala, C.
•  Proficient in big data/distributed computing frameworks such as Apache Spark, Kafka,
•  Experience with Agile implementation methodology 

Candidates should have worked with Startups (IT Product Firms)

Should be from B2C Firms/Product/SaaS Firms

Key Skills: Python, Golang, Java, Distributed Systems, Cloud, Microservices Architecture, MVC, Design Patterns, Data Structure, Algorithms

Your Experience Across The Years in the Roles You’ve Played

• 6+ years of technology experience (at least 2 years in direct engineering management)
• Managing a 5-15 member engineering team in an agile product org
• Track record of collaborative working with multiple stakeholders
• Planning and analysis with effective communication skills

You’ll Be Improving & Responsible For

• Our products engineering team that works on initiatives fuelling the growth of our recent health retail insurance products
• Collaboration across cross-functional stakeholders to ensure delivery timelines are met
• Implementing product engineering best practices, and evangelizing them within the org
• Engineering management with a strong sense of ownership
• Problem solving with a clear and analytical approach and organized work habits
• Technological innovation in agile product engineering scenarios
• Product and business management principles and metrics