Python Developer

Role & Responsibilities

What You'll Do

• Design, build, and ship production-grade backend services in a microservices environment
• Work directly with clients to understand requirements, solution their use cases, and integrate/deploy our product in their environment
• Own problems end-to-end — build, deploy, debug in the client's setup, and see it through to production
• Lead technical discussions with client engineering and business teams, translating their needs into working solutions
• Build integrations with third-party systems and APIs within customer environments
• Collaborate cross-functionally with internal product and engineering teams to feed client learnings back into the product

Ideal Candidate

• Strong Backend Engineer with robust Micro-services experience
• Mandatory (Experience): Must have 4+ years of hands-on experience in backend software engineering with 2+ years in a product company
• Mandatory (Skill 1): Must have hands-on experience building and running applications in a Micro-services setup - designing services, REST APIs, and service-to-service communication
• Mandatory (Skill 2): Must have strong production-grade experience in building and shipping real services in Java or Node.js (Java is highly preferred)
• Mandatory (Company): Product companies (B2B SaaS is preferred)
• Mandatory (Education): B.Tech / B.E. in Computer Science from Tier-1 institutes (IITs, BITS Pilani)
• Preferred (Experience): Must have worked directly with external customers in an engineering capacity - solutioning, integrating, or deploying the product in the customer's environment and handling technical discussions with their teams
• Preferred (Databases): Comfortable with both SQL and NoSQL databases

Job Summary

We are looking for a skilled Backend Developer with strong Node.js experience to join our development team. The ideal candidate should have hands-on experience in building scalable, secure, and high-performance backend applications and APIs.

You will work closely with frontend developers, product managers, and other engineering teams to design, develop, test, and maintain backend services and applications.

Key Responsibilities

• Design, develop, and maintain scalable backend applications using Node.js.
• Build and maintain RESTful APIs and backend services.
• Write clean, reusable, maintainable, and efficient code.
• Work with databases such as MongoDB, PostgreSQL, MySQL, or similar.
• Integrate third-party APIs and external services.
• Implement authentication, authorization, and security best practices.
• Optimize application performance, scalability, and reliability.
• Identify and resolve bugs, performance issues, and production problems.
• Write unit and integration tests to ensure application quality.
• Collaborate with frontend developers to integrate APIs with web/mobile applications.
• Participate in code reviews and follow development best practices.
• Work with Git and standard CI/CD and deployment processes.
• Contribute to system design and technical discussions.

Required Skills

• 2–6 years of professional experience in backend development.
• Strong hands-on experience with Node.js.
• Good knowledge of JavaScript and/or TypeScript.
• Strong understanding of REST APIs, HTTP, JSON, and API design.
• Experience with Express.js, NestJS, or similar Node.js frameworks.
• Good understanding of relational or NoSQL databases such as PostgreSQL, MySQL, or MongoDB.
• Knowledge of SQL and database design.
• Experience with Git/GitHub/GitLab/Bitbucket.
• Understanding of authentication mechanisms such as JWT/OAuth.
• Strong problem-solving and debugging skills.
• Good understanding of data structures, algorithms, and backend architecture.

Good to Have

• Experience with TypeScript.
• Knowledge of AWS / Azure / GCP.
• Experience with Docker and Kubernetes.
• Knowledge of Redis, Kafka, RabbitMQ, or other caching/message queue technologies.
• Experience with microservices architecture.
• Familiarity with CI/CD pipelines.

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.

What you'll do?

●    Develop on server-side cloud software using a serverless approach (AWS).

●    Work hands-on on bringing to life IoT and Edge architectures and applications

●    Work with teams on delivering key features and performance targets.

Who You Are?

●    Passionate individual who loves to develop scalable backend

●    Strong programming capabilities

●    Understanding of cloud architecture and protocols.

●    Clear thought process, believe in simplifying rather than complicating

●    Argue and fight over opinions. Believe in always choosing the best

You Should Have

●    Experience on NoSQL Databases and designing REST API.

●    Strong fundamentals of Data structure and algorithm.

●    Done related projects during graduation/post-graduation.

●    Experience on AWS, AWS Lambda, AWS IoT Core, AWS Cloud Watch is a big plus.

Proficiency in Python 

Here a video that explains our product journey:

https://www.loom.com/share/ccd0ed9e7bc349d7bba851d762253c21">https://www.loom.com/share/ccd0ed9e7bc349d7bba851d762253c21

This is fully a remote role, but the employer needs to fly down to the office in Kolkata for 5–6 days every month. Plane tickets and accommodation will be reimbursed by the company.

About TBM Technologies Pvt Ltd

Established in 2006, we are a research-driven 'machine-to-next' technology company. In 2018, we were recognized as the 'Telecom Technology Company of the Year - India'. We were named 'Most Innovative Software Development Company - India in 2017' and 'Best Telecom Software Company - India'. Other awards include being named among the '20 Most Promising Software Development Companies' and recognition by GSMA at the Mobile World Congress 2011. Our smart solutions enhance lifestyles and save lives, by enabling more effective communications.

With our proprietary software and technologies, we deliver solutions to telecom operators, including Airtel, Dialog Axiata, Verizon Wireless, Vodafone, and Idea. A dedicated research team focuses on next-generation solutions with sensors, smart devices, location 5.0 technology, multi-lingual multi-modal communication, omnichannel delivery platforms, cloud technologies, virtualization, rack servers, mobile phones, analytics, machine learning, and IoT.