

Simform is a fast-growing software services company mainly serving and having a presence in North America. Simform has built a solid work culture that is focused on learning, growth, and work-life balance. Simform is well-known for its very good work culture and loved by employees.
Please read more about the company and work culture here : https://www.simform.com/careers/
Job Description :
Summary : Major focus will be the development of server-side logic to ensure high performance and responsiveness to requests received from front-end. Deployment on the production server.
Responsibilities :
- Understanding the project requirement and coding the programs efficiently to meet the client's requirements to the closest proximity.
- Optimise output to run smoothly on multiple delivery platforms.
- Design and implement low-latency, high-availability, and performant applications.
- Integration of user interface elements developed by front-end developers with server-side logic.
- Integration of multiple data sources and databases into one system.
- Integration of data storage and third-party library/package into the application.
- Create or integrate any such thing manually if not available on standard package list.
- Create the best fitted and scalable database schema for particular business logic.
- Should be hands-on in reading large volumes of data from the database, or over HTTP(S)/WebSockets.
- Ensure programs and applications are bug-free and run smoothly.
Skills And Qualifications :
- Familiarity with Python web stacks and In-depth knowledge of different frameworks (Django, Flask, etc.)
- Understanding different types of Object Relational Mappers.
- Ability to work on multiple API integrations, and write modular reusable code.
- Understanding of the threading limitations of Python, and multi-process architecture
- Good knowledge of a server-side templating language.
- Basic understanding of front-end frameworks such as Angular, ReactJs, VueJs and technologies such as JavaScript, HTML5, and CSS3
- Knowledge of user authentication and authorisation between multiple systems, servers, and environments
- Understanding of fundamental design principles behind a scalable application
- Familiarity with object event-driven programming in Python
- Strong unit test and debugging skills
- Proficient understanding of code versioning tools, such as Git, Mercurial or SVN.

Similar jobs

Job Title : Python Backend Engineer (with MLOps & LLMOps Experience)
Experience : 4 to 8 Years
Location : Gurgaon Sector - 43
Employment Type : Full-time
Job Summary :
We are looking for an experienced Python Backend Engineer with a strong background in FastAPI, Django, and hands-on exposure to MLOps and LLMOps practices.
The ideal candidate will be responsible for building scalable backend solutions, integrating AI/ML models into production environments, and implementing efficient pipelines for machine learning and large language model operations.
Mandatory Skills : Python, FastAPI, Django, MLOps, LLMOps, REST API development, Docker, Kubernetes, Cloud (AWS/Azure/GCP), CI/CD.
Key Responsibilities :
- Develop, optimize, and maintain backend services using Python (FastAPI, Django).
- Design and implement API endpoints for high-performance and secure data exchange.
- Collaborate with data science teams to deploy ML/LLM models into production using MLOps/LLMOps best practices.
- Build and manage CI/CD pipelines for ML models and ensure seamless integration with backend systems.
- Implement model monitoring, versioning, and retraining workflows for machine learning and large language models.
- Optimize backend performance for scalability and reliability in AI-driven applications.
- Work with Docker, Kubernetes, and cloud platforms (AWS/Azure/GCP) for deployment and orchestration.
- Ensure best practices in code quality, testing, and security for all backend and model deployment workflows.
Required Skills & Qualifications :
- 4 to 8 years of experience as a Backend Engineer with strong expertise in Python.
- Proficient in FastAPI and Django frameworks for API and backend development.
- Hands-on experience with MLOps and LLMOps workflows (model deployment, monitoring, scaling).
- Familiarity with machine learning model lifecycle and integration into production systems.
- Strong knowledge of RESTful APIs, microservices architecture, and asynchronous programming.
- Experience with Docker, Kubernetes, and cloud environments (AWS, Azure, or GCP).
- Exposure to CI/CD pipelines and DevOps tools.
- Good understanding of Git, version control, and testing frameworks.
Nice to Have :
- Experience with LangChain, Hugging Face, or similar LLM frameworks.
- Knowledge of data pipelines, feature engineering, and ML frameworks (TensorFlow, PyTorch, etc.).
- Understanding of vector databases (Pinecone, Chroma, etc.).
Education :
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

Designation: Python Developer
Experienced in AI/ML
Location: Turbhe, Navi Mumbai
CTC: 6-12 LPA
Years of Experience: 2-5 years
At Arcitech.ai, we’re redefining the future with AI-powered software solutions across education, recruitment, marketplaces, and beyond. We’re looking for a Python Developer passionate about AI/ML, who’s ready to work on scalable, cloud-native platforms and help build the next generation of intelligent, LLM-driven products.
💼 Your Responsibilities
AI/ML Engineering
- Develop, train, and optimize ML models using PyTorch/TensorFlow/Keras.
- Build end-to-end LLM and RAG (Retrieval-Augmented Generation) pipelines using LangChain.
- Collaborate with data scientists to convert prototypes into production-grade AI applications.
- Integrate NLP, Computer Vision, and Recommendation Systems into scalable products.
- Work with transformer-based architectures (BERT, GPT, LLaMA, etc.) for real-world AI use cases.
Backend & Systems Development
- Design, develop, and maintain robust Python microservices with REST/GraphQL APIs.
- Implement real-time communication with Django Channels/WebSockets.
- Containerize AI services with Docker and deploy on Kubernetes (EKS/GKE/AKS).
- Configure and manage AWS (EC2, S3, RDS, SageMaker, CloudWatch) for AI/ML workloads.
Reliability & Automation
- Develop background task queues with Celery, ensuring smart retries and monitoring.
- Implement CI/CD pipelines for automated model training, testing, and deployment.
- Write automated unit & integration tests (pytest/unittest) with ≥80% coverage.
Collaboration
- Contribute to MLOps best practices and mentor peers in LangChain/AI integration.
- Participate in tech talks, code reviews, and AI learning sessions within the team.
🎓 Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field.
- 2–5 years of experience in Python development with strong AI/ML exposure.
- Hands-on experience with LangChain for building LLM-powered workflows and RAG systems.
- Deep learning experience with PyTorch or TensorFlow.
- Experience deploying ML models and LLM apps into production systems.
- Familiarity with REST/GraphQL APIs and cloud platforms (AWS/Azure/GCP).
- Skilled in Git workflows, automated testing, and CI/CD practices.
🌟 Nice to Have
- Experience with vector databases (Pinecone, Weaviate, FAISS, Milvus) for retrieval pipelines.
- Knowledge of LLM fine-tuning, prompt engineering, and evaluation frameworks.
- Familiarity with Airflow/Prefect/Dagster for data and model pipelines.
- Background in statistics, optimization, or applied mathematics.
- Contributions to AI/ML or LangChain open-source projects.
- Experience with model monitoring and drift detection in production.
🎁 Why Join Us
- Competitive compensation and benefits 💰
- Work on cutting-edge LLM and AI/ML applications 🤖
- A collaborative, innovation-driven work culture 📚
- Opportunities to grow into AI/ML leadership roles 🚀

Job Description:
• Experience in Python (Only Backend), Data structures, Oops, Algorithms, Django, NumPy etc.
• Notice/Joining of not more than 30 days.
• Only Premium Institute- Tier 1 and Tier 2.
• Hybrid Mode of working.
• Good understanding of writing Unit Tests using PYTest.
• Good understanding of parsing XML’s and handling files using Python.
• Good understanding with Databases/SQL, procedures and query tuning.
• Service Design Concepts, OO and Functional Development concepts.
• Agile Development Methodologies.
• Strong oral and written communication skills.
• Excellent interpersonal skills and professional approach Skills desired.

Mandatory skills
Hands on Python Programming.5+ years of Data Engineering experience: Skills sets: Python, SQL (Snowflake), S3.
Good to have
AWS familiarity would help


About this roleWe are seeking an experienced MongoDB Developer/DBA who will be
responsible for maintaining MongoDB databases while optimizing performance, security, and
the availability of MongoDB clusters. As a key member of our team, you’ll play a crucial role in
ensuring our data infrastructure runs smoothly.
You'll have the following responsibilities
Maintain and Configure MongoDB Instances - Responsible for build, design, deploy,
maintain, and lead the MongoDB Atlas infrastructure. Keep clear documentation of the
database setup and architecture.
Ownership of governance, defining and enforcing policies in MongoDB Atlas.Provide
consultancy in drawing the design and infrastructure (MongoDB Atlas) for use case.
Service and Governance wrap will be in place to restrict over provisioning for server size,
number of clusters per project and scaling through MongoDB Atlas
Gathering and documenting detailed business requirements applicable to the data
layer.Responsible for designing, configuring and managing MongoDB on Atlas.
Design, develop, test, document, and deploy high-quality technical solutions on the
MongoDB Atlas platform based on industry best practices to solve business needs.
Resolves technical issues raised by the team and/or customer and manages escalations as
required.
Migrate data from on-premise MongoDB and RDBMS to MongoDB AtlasCommunicate
and collaborate with other technical resources and customers in providing timely updates
on status of deliverables, shedding light on technical issues, and obtaining buy-in on
creative solutions.
Write procedures for backup and disaster recovery.
You'll have the following skills & experience
Excellent analytical, diagnostic skills, and problem-solving skills
Should understand the Database concept and develop expertise in designing and
developing NoSQL databases such as MongoDB
MongoDB query operation, import and export operation in database
Experience in ETL methodology for performing Data Migration, Extraction,
Transformation, Data Profiling and Loading
Migrating database by ETL, migrating database by manual process and designing,
development, implementation
General networking skills, especially in the context of a public cloud (e.g. AWS – VPC,
subnets, routing tables, nat / internet gateways, dns, security groups)
Experience using Terraform as an IaC tool for setting up infrastructure on AWS
CloudPerforming database backups and recovery
Competence in at least one of the following languages (in no particular order): Java, C++,
C#, Python, Node.js (JavaScript), Ruby, Perl, Scala, Go
Excellent communication skills, often being able to compromise but draw out risks and
constraints associated with solutions. Be able to work independently and collaborate with
other teams
Proficiency in configuring schema and MongoDB data modeling.
Strong understanding of SQL and NoSQL databases.
Comfortable with MongoDB syntax.
Experience with database security management.
Performance Optimization - Ensure databases achieve maximum performance and
availability. Design effective indexing strategies.





Job Description
- Design & implement backend APIs
- Mentor junior developers technically.
- Actively work to reduce tech debt in the backend
- Work towards more stability & scalability of the backend
- Tech stack - Java, AWS, Aurora etc.
Eligibility
- 4-8 years of product company experience
- OOP implementation experience. Programming language does not matter. We use Java internally but have hired folks from non Java background.
- Hands on experience in SQL, Dynamo DB, Postgres etc preferred.
- Prior experience building REST APIs
- Advanced understanding of AWS stack
- Prior knowledge of solving problems at scale.


Python API DeveloperJD:
Experience: 4-6 Yrs
Notice Period: 10-20 days or within 1 month
>> Develop and maintain various security software products with queues, caching & database management.
>> Hands-on experience in Coding in Python is required along with Knowledge about Data Structures and object-oriented programming, Algorithms.
>> Extensive experience in developing asynchronous systems.
>> Integration of user-facing elements developed by front-end developers with server-side logic
>> Implementation of security and data protection.
>> Performance tuning, improvement, balancing, usability, automation
Mandatory Skills:
- Python
- Flask/Django
- API

