Senior Backend Developer

Job Title: Python Backend Engineer (Full-time)

Location: Gurgaon, Onsite

Working Days: 5 days

Experience Required: 4+ Years

Interview: Screening and Face-to-face Interview

Job Summary

We are looking for a Python Backend Engineer with strong experience in FastAPI/Django and hands-on exposure to MLOps and LLMOps. You will work on building APIs, deploying ML/LLM models, and enabling intelligent systems using modern AI tools and frameworks.

Responsibilities

• Build and maintain scalable backend systems using Python, FastAPI, or Django
• Deploy and manage ML models (e.g., OpenCV, scikit-learn) and LLMs in production
• Develop APIs for ML/LLM inference and support RAG pipelines
• Implement model versioning, CI/CD, and monitoring for production use
• Collaborate with AI teams to integrate models into applications

Skills Required

• Strong Python backend development (FastAPI/Django)
• Experience with ML libraries: scikit-learn, OpenCV, NumPy, Pandas
• MLOps tools: MLflow, DVC, Airflow, Docker, Kubernetes
• LLMOps tools: LangChain, LlamaIndex, RAG pipelines, FAISS, Pinecone
• Integration experience with OpenAI, Hugging Face, or other LLM APIs
• Familiarity with CI/CD tools (GitHub Actions, Jenkins)

Company: PluginLive

About the company:

PluginLive Technology Pvt Ltd is a leading provider of innovative HR solutions. Our mission is to transform the hiring process through technology and make it easier for organizations to find, attract, and hire top talent. We are looking for a passionate and experienced Data Engineering Lead to guide the data strategy and engineering efforts for our Campus Hiring Digital Recruitment SaaS Platform.

Role Overview:

The Data Engineering Lead will be responsible for leading the data engineering team and driving the development of data infrastructure, pipelines, and analytics capabilities for our Campus Hiring Digital Recruitment SaaS Platform. This role requires a deep understanding of data engineering, big data technologies, and team leadership. The ideal candidate will have a strong technical background, excellent leadership skills, and a proven track record of building robust data systems.

Job Description

Position: Data Engineering Lead - Campus Hiring Digital Recruitment SaaS Platform

Location: Chennai

Minimum Qualification:  Bachelor’s degree in computer science, Engineering, Data Science, or a related field. Master’s degree or equivalent is a plus.

Experience:  7+ years of experience in data engineering, with at least 3 years in a leadership role.

CTC:  20-30 LPA 

Employment Type:  Full Time

Key Responsibilities:

Data Strategy and Vision:

• Develop and communicate a clear data strategy and vision for the Campus Hiring Digital Recruitment SaaS Platform.
• Conduct market research and competitive analysis to identify trends, opportunities, and data needs.
• Define and prioritize the data roadmap, aligning it with business goals and customer requirements.

Data Infrastructure Development:

• Design, build, and maintain scalable data infrastructure and pipelines to support data collection, storage, processing, and analysis.
• Ensure the reliability, scalability, and performance of the data infrastructure.
• Implement best practices in data management, including data governance, data quality, and data security.

Data Pipeline Management:

• Oversee the development and maintenance of ETL (Extract, Transform, Load) processes.
• Ensure data is accurately and efficiently processed and available for analytics and reporting.
• Monitor and optimize data pipelines for performance and cost efficiency.

Data Analytics and Reporting:

• Collaborate with data analysts and data scientists to build and deploy advanced analytics and machine learning models.
• Develop and maintain data models, dashboards, and reports to provide insights and support decision-making.
• Ensure data is easily accessible and usable by stakeholders across the organization.

Team Leadership:

• Lead, mentor, and guide a team of data engineers, fostering a culture of collaboration, continuous improvement, and innovation.
• Conduct code reviews, provide constructive feedback, and ensure adherence to development standards.
• Collaborate with cross-functional teams including product, engineering, and marketing to ensure alignment and delivery of data goals.

Stakeholder Collaboration:

• Work closely with stakeholders to understand business requirements and translate them into technical specifications.
• Communicate effectively with non-technical stakeholders to explain data concepts and progress.
• Participate in strategic planning and decision-making processes.

Skills Required:

• Proven experience in designing and building scalable data infrastructures and pipelines.
• Strong proficiency in programming languages such as Python, R, Data visualization tools like Power BI, Tableau, Qlik, Google Analytics
• Expertise in big data technologies such as Apache Airflow, Hadoop, Spark, Kafka, and cloud data platforms like AWS, Oracle Cloud.
• Solid understanding of database technologies, both SQL and NoSQL.
• Experience with data modeling, data warehousing, and ETL processes.
• Strong analytical and problem-solving abilities.
• Excellent communication, collaboration, and leadership skills.

Preferred Qualifications:

• 
  
• Experience in HR technology or recruitment platforms.
• Familiarity with machine learning and AI technologies.
• Knowledge of data governance and data security best practices.
• Contributions to open-source projects or active participation in the tech community.

Requirements

• Senior SD4 engineer/Principal Engineer/ Architect who has led or been part of platform teams inside a large/mid tech company
• Deep expertise working with any of the programming languages to write maintainable, scalable, unit-tested code.Python experience is a bonus - but not required
• Good understanding of REST APIs and the web in general and ability to build a feature from scratch & drive it to completion
• Experience with Kubernetes, Prometheus, Grafana, ELK stack, Load Balancing
• Experience in building a platform team on AWS for Product based companies/start-ups

What You’ll Do

• Build the core technology platform, including Automated provisioning of infrastructure, deployment, and monitoring of services
• Build a central services directory within an organization that shows the cost and health of all services and makes the management of microservices extremely easy
• This involves working with core infrastructure and understanding them in great detail - like Kubernetes, ServiceMesh, Service security
• Mentor/coach engineers to facilitate their development and provide technical leadership

Job Description:

Good knowledge of python & Java. The order of need should be

1. Builds (TeamCity/Jenkins, Urban Code Deploy, ANT/Maven)
2. Python scripting
3. JAVA
4. Linux/Unix

And candidate should possess knowledge on the below :

• JIRA or other
• Agile (Scrum/Kanban, etc.)
• Bit bucket/GIT/SVN/Artifactory
• Linux/Unix
• Jenkins/Team City – ANT/Maven
• Usage & setup of IDE’s

You need to write scalable Python code for developing and implementing robust applications. You would indulge your dedication and passion to build server-side logic ensuring low-latency and high end performance. You should have sound knowledge of Python frameworks such as Django and Flask.

YOUR ‘OKR’ SUMMARY

OKR means Objective and Key Results.

As a Software Engineer at Coredge, you will help develop our next-generation cloud native core solution along with the product and the open-source community to build the Coredge.io vision.

What you will do?

• System engineering and implementation in Python and Golang.

• Working on performance issues using creative experiments and internally developed product features.

• Research, propose, and integrate relevant open-source projects based on product objectives.

• Write organized, efficient, and well documented Python/Golang code as an example for junior engineers.

• Participation in all levels of product definition, design, implementation, testing, and deployment.

• Must include the ability to discuss abstract system architectures from ideas through implementation and

           creatively apply domain experience to solve technical challenges.

• Mentoring software engineers, fostering an environment of trust and accountability.

What you will need?

A strong sense of ownership, urgency, and drive. As an integral part of the development team, you will need the

following skills to succeed.

• Strong Python skills to develop framework(s).

• Hands-on to design & develop re-usable framework components.

• Hands-On experience on developing framework, designing re-usable framework components.

• Experience in engineering practices such as code refactoring, design patterns, design driven development, Continuous Integration, building highly scalable applications, application security and functional programming.

Additional Skills:

• Knowledge of Cloud native would be an advantage.

• Understanding of Kubernetes from Architecture side and also understand the Standard API.

• Code contributed to CNCF or similar community will be plus.

• Performance benchmarking of K8’s or any cloud will be added advantage

Responsibilities: 

• Design and code efficient, scalable systems that can accept feedback from multiple hundred thousand employees and generate insights 
• Design efficient and scalable event driven systems to process complex machine learning pipeline
• Experiment with data to come up with unique insights and that can benefit our clients
• Identify libraries and technologies worth experimentation
• Participate in brainstorming sessions to bring more value to our clients
• Investigate performance issues / scalability bottlenecks, existing queries and/or write new queries with performance optimization in mind
• Develop RESTful APIs that can be used by frontend to show insights
• Debug and fix production level bugs as and when they crop up
• Support ad hoc data analytics upon requests by clients, and believe us nothing creates a better DB understanding than handling ad hoc data requests 

Requirements: 

• 3+ years of experience in architecture and developing high performance web applications 
• Experience with systems ingesting/processing high amounts of data is a plus 
• In-depth understanding of the entire web development process (design, development, and deployment) 
• Experience with SQL and NoSQL database 
• Working knowledge of RESTful API paradigms  
• Experienced in microservices architecture  
• Solid engineering principles and a clear understanding of data structures and algorithms
• Passion for products, empathy for users, and aspiration to make a big impact
•  

Roles and Responsibilities

• Apply knowledge set to fetch data from multiple online sources, cleanse it and build APIs on top of it
• Develop a deep understanding of our vast data sources on the web and know exactly how, when, and which data to scrap, parse and store
• We're looking for people who will naturally take ownership of data products and who can bring a project all the way from a fast prototype to production.
• Integrating and maintaining Python services
• Developing robust microservices and applications

Desired Candidate Profile

• Strong relevant experience of at least 2-3 years.
• Strong coding experience in Python3.
• Should have good experience with Django and NodeJs.
• Proficient on modelling applications on both RDBMS and NOSQL databases
• Should have experience in web scraping
• Good understanding and hands-on with scheduling and managing tasks with cron
• Should have experience with microservice architecture
• Compile and analyze data, processes, and codes to troubleshoot problems and identify areas for improvement
• Should have experience in shell scripting, GIT and docker
• Writing unit tests for 100% code coverage.

• At least 2-5 years of working experience in web services, preferably in Python
• Should have built and released APIs in production
• Experience working with RDBMS and NoSQL databases
• Designing thoughtful, extensible data models
• Knowledge of identifying, defining and building micro-services
• Working knowledge of GCS, AWS, Azure or any other cloud provider
• Aggressive problem diagnosis and creative problem-solving skills
• Good communication skills - written and spoken