Python Developer

Role: DevOps Engineer

Exp: 4 - 7 Years

CTC: up to 28 LPA

Key Responsibilities

•   Design, build, and manage scalable infrastructure on cloud platforms (GCP, AWS, Azure, or OCI)

•   Administer and optimize Kubernetes clusters and container runtimes (Docker, containerd)

•   Develop and maintain CI/CD pipelines for multiple services and environments

•   Manage infrastructure as code using tools like Terraform and/or Pulumi

•   Automate operations with Python and shell scripting for deployment, monitoring, and maintenance

•   Ensure high availability and performance of production systems and troubleshoot incidents effectively

•   Monitor system metrics and implement observability best practices using tools like Prometheus, Grafana, ELK, etc.

•   Collaborate with development, security, and product teams to align infrastructure with business needs

•   Apply best practices in cloud networking, Linux administration, and configuration management

•   Support compliance and security audits; assist with implementation of cloud security measures (e.g., firewalls, IDS/IPS, IAM hardening)

•   Participate in on-call rotations and incident response activities

Backend Engineer (MongoDB / API Integrations / AWS / Vectorization)

Position Summary

We are hiring a Backend Engineer with expertise in MongoDB, data vectorization, and advanced AI/LLM integrations. The ideal candidate will have hands-on experience developing backend systems that power intelligent data-driven applications, including robust API integrations with major social media platforms (Meta, Instagram, Facebook, with expansion to TikTok, Snapchat, etc.). In addition, this role requires deep AWS experience (Lambda, S3, EventBridge) to manage serverless workflows, automate cron jobs, and execute both scheduled and manual data pulls. You will collaborate closely with frontend developers and AI engineers to deliver scalable, resilient APIs that power our platform.

Key Responsibilities

• Design, implement, and maintain backend services with MongoDB and scalable data models.
• Build pipelines to vectorize data for retrieval-augmented generation (RAG) and other AI-driven features.
• Develop robust API integrations with major social platforms (Meta, Instagram Graph API, Facebook API; expand to TikTok, Snapchat, etc.).
• Implement and maintain AWS Lambda serverless functions for scalable backend processes.
• Use AWS EventBridge to schedule cron jobs and manage event-driven workflows.
• Leverage AWS S3 for structured and unstructured data storage, retrieval, and processing.
• Build workflows for manual and automated data pulls from external APIs.
• Optimize backend systems for performance, scalability, and reliability at high data volumes.
• Collaborate with frontend engineers to ensure smooth integration into Next.js applications.
• Ensure security, compliance, and best practices in API authentication (OAuth, tokens, etc.).
• Contribute to architecture planning, documentation, and system design reviews.

Required Skills/Qualifications

• Strong expertise with MongoDB (including Atlas) and schema design.
• Experience with data vectorization and embeddings (OpenAI, Pinecone, MongoDB Atlas Vector Search, etc.).
• Proven track record of social media API integrations (Meta, Instagram, Facebook; additional platforms a plus).
• Proficiency in Node.js, Python, or other backend languages for API development.
• Deep understanding of AWS services:
• Lambda for serverless functions.
• S3 for structured/unstructured data storage.
• EventBridge for cron jobs, scheduled tasks, and event-driven workflows.
• Strong understanding of REST and GraphQL API design.
• Experience with data optimization, caching, and large-scale API performance.

Preferred Skills/Experience

• Experience with real-time data pipelines (Kafka, Kinesis, or similar).
• Familiarity with CI/CD pipelines and automated deployments on AWS.
• Knowledge of serverless architecture best practices.
• Background in SaaS platform development or data analytics systems.

Synapsica is a growth stage HealthTech startup founded by alumni from IIT Kharagpur, AIIMS New Delhi, and IIM Ahmedabad. We believe healthcare needs to be transparent and objective, while being affordable. Every patient has the right to know exactly what is happening in their bodies and they don’t have to rely on cryptic 2 liners given to them as diagnosis.

Towards this aim, we are building an artificial intelligence enabled cloud based platform to analyze medical images and create 2.0 of advanced radiologist reporting.

We are backed by YCombinator and other marquee investors from India, US and Japan. We are proud to have GE, AIIMS, the Spinal Kinetics as our partners.

Join us, if you find this as exciting as we do!

Description:

Synapsica is looking for a Node.js/Python developer who is passionate about designing and implementing scalable solutions with highest quality. You will be responsible for creating high performance, responsive, and secure server-side programs to manage Synapsica platform. You will be responsible for designing, managing and supporting cloud platform and scaling our database. This role is ideal for you if you have a background in bakcned development and are looking for the next level of career growth in a fast paced, learning based and merit driven work environment.

Responsibilities:
- Design and development of our new platform modules from scratch. 
- Hands on implementation of our APIs and integrations. 
- Design, scaling and integration of new/existing databases.
- Ensuring the entire stack is designed and built for speed and scalability
- Design and construction of our REST APIs with best secutiry mechanisms.
- Design and implementation of continuous integration and deployment pipelines in tandem with the respective team members.
- Performance tuning and improvements in large scale systems.
- Ensuring responsiveness and cross-platform compatibility of applications.
- Owning and delivering end-to-end products, features, enhancements.

Requirements:
- Degree in Computer Science or related discipline with strong competencies in data structures, algorithms, and software design
- At least 4+ years of experience with writing Python/NodeJS/PHP/Ruby on Rails. 
- Prior experience of database design and management in MongoDB, including being up on the latest practices and associated versions.
- Experience in building highly scalable business applications, which involve implementing large complex business flows and dealing with huge amount of data.
- Familiarity with AWS (or equivalent) ecosystem with end-to-end cloud deployment.
- Experience implementing code level unit tests.
- Proficiency with Git / Version control.
- Appreciation for clean and well documented code
- Excellent verbal communication skills.
- Good problem solving skills.
- Attention to detail.
- Very high sense of ownership.
- Deep interest and passion for technology

Job Description:

• Knowledge on both back-end and front-end technology.
• An expertise in PHP, MySQL, HTML5 and CSS3 A portfolio with live links to sites that you have developed previously (preferred).
• Laravel experience (preferred).
• Education: BE, BTech, MCA, MSC, ME.
• Experience: 0 ~ 2-year Experience.

Job description

We are looking for a highly motivated Node.js developer to optimize our application performance. You will be collaborating with our front-end application developers, designing back-end components, and integrating data storage and protection solutions.

Responsibilities

• Work as part of a team developing applications and services using Agile development methods
• Contribute to team and organizational improvements in process and infrastructure
• Integration of user-facing elements developed by front-end developers with server-side logic
• Writing reusable, testable, and efficient code
• Design and implementation of low-latency, high-availability, and performant applications
• Implementation of security and data protection
• Integration of data storage solutions (may include databases, key-value stores, blob stores, etc.)

Skills

• Excellent interpersonal, communication, and collaboration skills.
• Exceptional analytical and problem-solving aptitude.
• Great organizational and time management skills.
• At least 5 years’ experience as a Node.js developer.
• Extensive knowledge of JavaScript, web stacks, libraries, and frameworks.
• BitRise, BitBucket, GitHub
• Fluent in AWS environment and MicroServices
• Knowledge of front-end technologies such as HTML5 and CSS3.

Responsibilities:

• Writing reusable, testable, and efficient code

• Design and implementation of low-latency, high-availability, and performant applications

• Integration of user-facing elements developed by front-end developers with server side logic

• Implementation of security and data protection

• Integration of data storage solutions (may include databases, key-value stores, blob stores, etc.)

• Expert in Python, with knowledge of at least one Python web framework (such as Django, Flask, etc depending on your technology stack)

• Familiarity with some ORM (Object Relational Mapper) libraries

• Able to integrate multiple data sources and databases into one system

• Understanding of the threading limitations of Python, and multi-process architecture

• Good understanding of server-side templating languages (such as Jinja 2, Mako, etc depending on your technology stack)

• Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3

• Understanding of accessibility and security compliance (depending on the specific project)

• Knowledge of user authentication and authorization between multiple systems, servers, and environments

• Understanding of fundamental design principles behind a scalable application

• Familiarity with event-driven programming in Python

• Understanding of the differences between multiple delivery platforms, such as mobile vs desktop, and optimizing output to match the specific platform

• Able to create database schemas that represent and support business processes

• Strong unit test and debugging skills

• Basic knowledge of machine learning algorithm and libraries like keras, tensorflow, sklearn.