Backend Developer

Core Responsibilities:

• Design & Development: Architect and implement scalable backend services and APIs using Python or Golang, ensuring high performance, resilience, and extensibility.
• System Ownership: Take end-to-end ownership of critical modules, from design and development to deployment and support.
• Technical Leadership: Conduct design and code reviews, enforce best practices, and mentor junior engineers to raise the team’s technical bar.
• Collaboration: Work closely with product managers, architects, and other engineers to translate business requirements into technical solutions.
• Performance & Reliability: Troubleshoot complex issues in production systems, identify root causes, and design sustainable long-term solutions.
• Innovation: Evaluate new technologies, contribute to proof-of-concepts, and recommend tools that can improve developer productivity.
• Process Improvement: Drive initiatives to improve coding standards, CI/CD pipelines, and automated testing practices.
• Knowledge Sharing: Document designs, create technical guides, and share insights with the broader engineering team.

Experience and Expertise:

• 4–7 years of backend development experience with Python or Golang.
• Strong expertise in designing, developing, and scaling microservices and distributed systems.
• Solid understanding of concurrency, multi-threading, and performance optimization.
• Proficiency with databases (SQL/NoSQL), caching systems (Redis, Memcached), and messaging systems (Kafka, RabbitMQ, etc.).
• Hands-on experience with Linux development, Docker, and Kubernetes.
• Familiarity with cloud platforms (AWS/GCP/Azure) and related services.
• Strong debugging, profiling, and optimization skills for production-grade systems.
• Experience with AI-powered development tools is a strong plus; familiarity with concepts like 'agentic coding' for workflow automation or 'context engineering' for leveraging LLMs in system design is highly desirable.

Skills:

• Strong problem-solving ability, with experience handling complex technical challenges.
• Ability to lead technical initiatives and mentor junior engineers.
• Excellent communication skills to collaborate with cross-functional teams and articulate trade-offs.
• Self-motivated, proactive, and able to operate independently while aligning with team goals.
• Passionate about engineering culture, quality, and developer productivity.

Mandatory (Experience 1) - Must have a minimum 4+ years of experience in backend software development.

Mandatory (Experience 2) -Must have 4+ years of experience in backend development using Python (Highly preferred), Java, or Node.js.

Mandatory (Experience 3) - Must have experience with Cloud platforms like AWS (highly preferred), gcp or azure

Mandatory (Experience 4) - Must have Experience in any databases - MySQL / PostgreSQL / Postgres / Oracle / SQL Server / DB2 / SQL / MongoDB / Ne

Position: Backend Developer

Organization: A Funded global healthcare platform connecting doctors, thereby enabling exchange of information on a quick and real time basis, founded in the year 2013.Currently there are 3 lakh doctors using this platform and everyday there are 400 new doctors joining it.

The platform promotes exchange of viewpoints, ideas, and information on various medical practices amongst healthcare professionals. This saves both time and money as solutions to several health issues can be accessed on a real time basis. There are 1.3 million registered doctors and 400+ daily publications on its platform and they operate across 16+countries.

Roles & Responsibilities

You’re Awesome At -

• Have strong experience in Python (FLASK framework).
• Have a Deep understanding of how RESTful APIs work.
• Familiar with various design and architectural patterns that can work at scale.
• Sound knowledge of NoSQL/SQL Databases (Mongo DB preferred).
• Strong experience with at-Cloud technology, preferably AWS or GCP, or Azure.
• Core experience in developing complex backend systems.
• Ability to communicate complex technical concepts to both technical and non-technical audiences.
• Passionate about application scalability, availability, reliability, and security.

Your Academic Qualifications -

BE/BTech in Computer Science preferred.

You’ll Be Improving & Responsible For –

• A team that is building products used by 300k + doctors every single day.
• Work on PetaByte Scale Streaming Systems - more than 500 million hours of video have been streamed.
• Lead high volume VOD streaming (think of systems as sophisticated as Netflix and Amazon prime).
• Challenge oneself on Security, Scalability, and Stability
• Maintain code and write automated tests to ensure the product is of the highest quality.
• Reach out to the open-source community to encourage and help implement mission-critical software fixes

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

2-4 Years of experience in Backend Development.

• Set up, manage, automate and deploy AI models in development and production infrastructure.
• Orchestrate life cycle management of AI Models
• Create APIs and help business customers put results of the AI models into operations
• Develop MVP ML learning models and prototype applications applying known AI models and verify the problem/solution fit
• Validate the AI Models
• Make model performant (time and space) based on the business needs
• Perform statistical analysis and fine-tuning using test results
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
• Processing, cleansing, and verifying the integrity of data used for analysis 
• Ensuring that algorithms generate accurate user recommendations/insights/outputs
• Keep abreast with the latest AI tools relevant to our business domain

• Bachelor’s or master's degree in Computer Science, Statistics or related field 
• A Master’s degree in data analytics, or similar will be advantageous.
• 3 - 5 years of relevant experience in deploying AI models to production
• Understanding of data structures, data modeling, and software architecture
• Good knowledge of math, probability, statistics, and algorithms
• Ability to write robust code in Python/ R
• Proficiency in using query languages, such as SQL
• Familiarity with machine learning frameworks such as PyTorch, Tensorflow and libraries such as scikit-learn
• Worked with well know machine learning models ( SVM, clustering techniques, forecasting models, Random Forest, etc.)
• Having knowledge in CI/CD for the building and hosting the solutions
• We don’t expect you to be an expert or an AI researcher, but you must be able to take existing models and best practices and adapt them to our environment.
• Adherence to compliance procedures in accordance with regulatory standards, requirements, and policies. 
• Ability to work effectively and independently in a fast-paced agile environment with tight deadlines 
• A flexible, pragmatic, and collaborative team player with an innate ability to engage with data architects, analysts, and scientists.