Unix Developer

Job Title: Backend Engineer – Python / Golang / Rust

Location: Bangalore, India

Experience Required: Minimum 2–3 years

About the Role

We are looking for a passionate Backend Engineer to join our growing engineering team. The ideal candidate should have hands-on experience in building enterprise-grade, scalable backend systems using microservices architecture. You will work closely with product, frontend, and DevOps teams to design, develop, and optimize robust backend solutions that can handle high traffic and ensure system reliability.

Key Responsibilities

• Design, develop, and maintain scalable backend services and APIs.

• Architect and implement microservices-based systems ensuring modularity and resilience.

• Optimize application performance, database queries, and service scalability.

• Collaborate with frontend engineers, product managers, and DevOps teams for seamless delivery.

• Implement security best practices and ensure data protection compliance.

• Write and maintain unit tests, integration tests, and documentation.

• Participate in code reviews, technical discussions, and architecture design sessions.

• Monitor, debug, and improve system performance in production environments.

Required Skills & Experience

• Programming Expertise:

• Advanced proficiency in Python (Django, FastAPI, or Flask), OR

• Strong experience in Golang or Rust for backend development.

• Microservices Architecture: Hands-on experience in designing and maintaining distributed systems.

• Database Management: Expertise in PostgreSQL, MySQL, MongoDB, including schema design and optimization.

• API Development: Strong experience in RESTful APIs and GraphQL.

• Cloud Platforms: Proficiency with AWS, GCP, or Azure for deployment and scaling.

• Containerization & Orchestration: Solid knowledge of Docker and Kubernetes.

• Messaging & Caching: Experience with Redis, RabbitMQ, Kafka, and caching strategies (Redis, Memcached).

• Version Control: Strong Git workflows and collaboration in team environments.

• Familiarity with CI/CD pipelines, DevOps practices, and cloud-native deployments.

• Proven experience working on production-grade, high-traffic applications.

Preferred Qualifications

• Understanding of software architecture patterns (event-driven, CQRS, hexagonal, etc.).

• Experience with Agile/Scrum methodologies.

• Contributions to open-source projects or strong personal backend projects.

• Experience with observability tools (Prometheus, Grafana, ELK, Jaeger).

Why Join Us?

• Work on cutting-edge backend systems that power enterprise-grade applications.

• Opportunity to learn and grow with a fast-paced engineering team.

• Exposure to cloud-native, microservices-based architectures.

• Collaborative culture that values innovation, ownership, and technical excellence.

Job Description

• Job Title:- Jr. Dot Net Developer- Asp.net / MVC / .Net Core
• Location:- WFH(temporary), Timing:- 10am to 7pm
• Employee Strength:- 20
• Days:- 6 days working 2^nd and 4^th Sat holiday
• Experience: 1yr to 2yrs
• Industry: IT-Software / Software Services
• Functional Area: IT Software - Web Application Programming, Maintenance 
• Role Category: Programming & Design
• Key Skills:- Asp.Net, MVC, .Net Core, C#, MSSQL Server
• Education- Tech/B.E./ B. Sc/ MCA/ M. Sc/ M. Tech

Experienced in

• Experience with *http://asp.net/">NETMVC/C# & database analysis, design and querying with SQL Server including Visual Studio 2019, Angular JS, C#.NET, http://asp.net/">ASP.NET, MVC, WCF Web Services...etc.
• Knowledge of Design Patterns
• Experience working with distributed items
• Expecting developer can work individually or in a team
• Experience with MVC, C#, SQL Server
• Experience with jQuery, HTML5, XML, JSON &CSS.

At Monarch, we’re leading the digital transformation of farming. Monarch Tractor augments both muscle and mind with fully loaded hardware, software, and service machinery that will spur future generations of farming technologies.

With our farmer-first mentality, we are building a smart tractor that will enhance (not replace) the existing farm ecosystem, alleviate labor availability, and cost issues, and provide an avenue for competitive organic and beyond farming by providing mechanical solutions to replace harmful chemical solutions. Despite all the cutting-edge technology we will incorporate, our tractor will still plow, till, and haul better than any other tractor in its class. We have all the necessary ingredients to develop, build and scale the Monarch Tractor and digitally transform farming around the world. For more details visit

www.monarchtractor.com

Monarch Tractor Electric Tractor

Monarch Tractor is the maker of the world’s first fully electric, driver-optional tractor making sustainable farming economically superior.

www.monarchtractor.com

Requirements and skills:

· 3+ Years of software development experience

· Strong in data structures and algorithms

· Solid understanding of Linux development environment and systems

· Expert level knowledge of Python along with frameworks some application framework

· Prior experience with WebRTC and video streaming protocols like RTMP, RTP and payloads

· Prior experience of h264, h265, vp8, vp9 and av1 encoders and decoders

· Prior experience with GStreamer pipelines

· Knowledge of C++ and proxy servers such as NGNIX is an added advantage

· Proficient in writing unit test cases using the Pytest framework.

· Expert level knowledge of SQL databases like MySQL

· Understanding of microservices architecture

· Knowledge of AWS cloud services like EC2, S3, Lambda etc.

Technical Experience :

- Net development work experience.

- Proficiency in NET Development with Asp.net and MVC.

- Strong object-oriented programming OOPS design skills, SOLID principles and proficiency in software design patterns.

- Experience in database MS SQL Server.

- Experience with version control systems GitHub and Bitbucket.

Professional Attributes :

1. Should have good communication Skills.

2. Should be a good team player.

3. Should be able to work independently and under pressure.

4. Should have good logical and analytical thinking.

• 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.