Member of Technical Staff

Core Responsibilities:

• Design, develop, and maintain backend services and APIs using Python or Golang.
• Write high-quality, testable, and maintainable code with a focus on performance and scalability.
• Implement automated tests and contribute to CI/CD pipelines.
• Collaborate with product, QA, and DevOps teams for end-to-end feature delivery.
• Troubleshoot production issues and provide timely resolutions.
• Participate in design and architecture discussions to improve system efficiency.
• Contribute to improving development processes, coding standards, and best practices.

Experience and Expertise:

• 2–4 years of experience in backend development with Python or Golang.
• Solid understanding of RESTful APIs, microservices, and distributed systems.
• Strong knowledge of data structures, algorithms, and OOPS principles.
• Hands-on experience with relational and/or NoSQL databases.
• Familiarity with Linux development, Docker, and basic cloud concepts (AWS/GCP/Azure).
• Proficiency with Git and version control workflows.
• Familiarity with AI-powered development tools or exposure to projects involving large language models (LLMs) is a plus.

Skills:

• Strong analytical and debugging skills with the ability to solve complex problems.
• Good communication and collaboration skills across teams.
• Ability to work independently with minimal supervision while being a strong team player.
• Growth mindset – eagerness to learn new technologies and improve continuously.

About RapidClaims

RapidClaims is a leader in AI-driven revenue cycle management, transforming medical

coding and revenue operations with cutting-edge technology.

The company has raised $11 million in total funding from top investors, including Accel

and Together Fund.

Join us as we scale a cloud-native platform that runs transformer-based Large Language

Models rigorously fine-tuned on millions of clinical notes and claims every month. You’ll

engineer autonomous coding pipelines that parse ICD-10-CM, CPT® and HCPCS at

lightning speed, deliver reimbursement insights with sub-second latency and >99 %

accuracy, and tackle the deep-domain challenges that make clinical AI one of the

hardest—and most rewarding—problems in tech.

Engineering Manager- Job Overview

We are looking for an Engineering Manager who can lead a team of engineers while

staying deeply involved in technical decisions. This role requires a strong mix of people

leadership, system design expertise, and execution focus to deliver high-quality product

features at speed. You will work closely with Product and Leadership to translate

requirements into scalable technical solutions and build a high-performance engineering

culture.

Key Responsibilities:

● Lead, mentor, and grow a team of software engineers

● Drive end-to-end ownership of product features from design to deployment

● Work closely with Product to translate requirements into technical solutions

● Define architecture and ensure scalability, reliability, and performance

● Establish engineering best practices, code quality, and review standards

● Improve development velocity, sprint planning, and execution discipline

● Hire strong engineering talent and build a solid team

● Create a culture of accountability, ownership, and problem-solving

● Ensure timely releases without compromising quality

● Stay hands-on with critical technical decisions and reviews

.

Requirements:

● 5+ years of software engineering experience, with 2+ years in team leadership

● Strong experience in building and scaling backend systems and APIs

● Experience working in a product/startup environment

● Good understanding of system design, architecture, and databases

● Ability to manage engineers while remaining technically credible

● Strong problem-solving and decision-making skills

● Experience working closely with Product teams

● High ownership mindset and bias for action

Good to Have

● Experience in healthcare tech / automation / RPA / AI tools

● Experience building internal tools and workflow systems

● Exposure to cloud infrastructure (AWS/GCP/Azure)

Job Description:

Required skills and qualifications

• 3+ years of experience as a Python Developer with a strong portfolio of projects.
• hands on exp in react.js
• Bachelor's degree in Computer Science, Software Engineering or a related field.
• In-depth understanding of the Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn and PyTorch.
• Experience with front-end development using Angular.js HTML, CSS, and JavaScript.
• Familiarity with database technologies such as SQL and NoSQL.
• Excellent problem-solving ability with solid communication and collaboration skills.

Preferred skills and qualifications

• Experience with popular Python frameworks such as Django, Flask or Pyramid.
• Knowledge of data science and machine learning concepts and tools.
• A working understanding of cloud platforms such as AWS, Google Cloud or Azure.
• Contributions to open-source Python projects or active involvement in the Python community.

Hello Candidate,

Greetings from Suventure!

PLease find the Job description below.

Job Title: Senior Python Developer (with or without Rust API experience)

Location: Bangalore, India

Company: Suventure Services Pvt. Ltd.

Work Mode: Work From Office (WFO)

Experience: 5+ Years

About Suventure Services Pvt. Ltd.

Suventure is a technology-driven organization delivering end-to-end solutions across Product Development, Cloud, AI, Analytics, and Mobility. We work with global clients to build innovative, scalable, and secure applications that power digital transformation and business growth.

Job Summary

We are seeking a highly skilled and motivated Python Developer with over 5 years of hands-on experience in backend development, API design, and scalable application architecture. Candidates with exposure to Rust API development will have an added advantage, though it is not mandatory. You’ll collaborate closely with cross-functional teams to deliver high-quality, performant, and maintainable code.

Key Responsibilities

• Design, develop, and maintain scalable backend applications using Python (Flask / FastAPI / Django).
• Develop RESTful or GraphQL APIs and ensure seamless data integration between systems.
• Work on microservices architecture and implement clean, modular, and testable code.
• Optimize application performance, ensuring high availability and responsiveness.
• Collaborate with DevOps, frontend, and product teams for feature development and release cycles.
• Participate in code reviews, troubleshooting, debugging, and system enhancements.
• (Optional) Integrate and maintain APIs written in Rust or other high-performance languages.
• Write automated unit tests and follow best practices for CI/CD and version control (Git).

Required Skills & Experience

• Minimum 5 years of professional experience in Python development.
• Strong understanding of OOPs, design patterns, Data structures and software engineering principles.
• Hands-on experience with frameworks such as Flask, Django, or FastAPI.
• Experience with RESTful APIs, microservices, and asynchronous programming.
• Good understanding of SQL/NoSQL databases (MySQL, PostgreSQL, MongoDB, Redis).
• Knowledge of Docker, Kubernetes, or AWS Cloud Services is a plus.
• Familiarity with Rust and its API ecosystem is an added advantage.
• Excellent problem-solving skills and ability to work in a fast-paced environment.
• 
  

·                    Design, develop, and implement AI/ML models and algorithms.

·                    Focus on building Proof of Concept (POC) applications to demonstrate the feasibility and value of AI solutions.

·                    Write clean, efficient, and well-documented code.

·                    Collaborate with data engineers to ensure data quality and availability for model training and evaluation.

·                    Work closely with senior team members to understand project requirements and contribute to technical solutions.

·                    Troubleshoot and debug AI/ML models and applications.

·                    Stay up-to-date with the latest advancements in AI/ML.

·                    Utilize machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) to develop and deploy models.

·                    Develop and deploy AI solutions on Google Cloud Platform (GCP).

·                    Implement data preprocessing and feature engineering techniques using libraries like Pandas and NumPy.

·                    Utilize Vertex AI for model training, deployment, and management.

·                    Integrate and leverage Google Gemini for specific AI functionalities.

Qualifications:

·                    Bachelor’s degree in computer science, Artificial Intelligence, or a related field.

·                    3+ years of experience in developing and implementing AI/ML models.

·                    Strong programming skills in Python.

·                    Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.

·                    Good understanding of machine learning concepts and techniques.

·                    Ability to work independently and as part of a team.

·                    Strong problem-solving skills.

·                    Good communication skills.

·                    Experience with Google Cloud Platform (GCP) is preferred.

·                    Familiarity with Vertex AI is a plus.

Responsibilities

• Ideate, execute & take ownership of complete project from scratch
• Create and design User-focused focused SAAS with high end experience  
• Optimize existing architecture for performance, scalability & functionality 
• Generate modular & clean codes 
• Deploy & maintain project’s infrastructure with zero downtime 

Skill Sets

• Sharp communication skills 
• Fluent in Problem Solving, Data Structures And Algorithms
• Strong in Java Spring Boot & Python Django languages & frameworks
• Experience with database design & familiar with RDBMS database like Postgresql as well as no SQL databases 
• Good with writing unit test cases & integration test cases 
• Well versed in writing Asynchronous codes or technologies
• Exposed to various AWS technologies like EC2, Cognito, API Gateway,ECS etc.
• Exposed to Pub-sub technologies like SQS,Kafka, RabbitMQ, etc. 
• Familiar with caching tools like Redis, HazleCaste, etc. 
• Exposure to DevOps and Big Data is a plus.