Backend Lead

at Reliable Group IN

Backend Lead

Reliable Group IN

Company

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Backend Lead

at Reliable Group IN

Posted by Rahul Singh

8 - 14 yrs

₹10L - ₹30L / yr

Pune

Skills

Python

Django

PostgreSQL

MySQL

MongoDB

Azure

Job Summary:

We are seeking a highly skilled and experienced Backend Lead to design, develop, and maintain scalable, reliable, and high-performance backend solutions for our multi-tenant SaaS products. The ideal candidate will have a deep understanding of distributed systems, microservices, and cloud-based architectures, with a proven track record in handling production issues at scale. You will collaborate closely with the AI Lead and Frontend Lead to ensure seamless integration of backend services, AI/ML pipelines, and front-end functionalities, thereby

delivering a robust, secure, and feature-rich experience to our customers.

Key Responsibilities:

1. System Architecture & Design

Define and implement the overall backend architecture for multi-tenant SaaS applications, ensuring scalability, high availability, security, and compliance.
Design microservices and RESTful/GraphQL APIs and Websockets in alignment with front-end and AI requirements.
Establish design patterns and best practices for code modularity, performance optimization, and scalability.

2. Scalability & Performance

Identify performance bottlenecks and oversee optimization strategies (caching, load balancing, message queues, etc.).
Implement and maintain monitoring/observability solutions (e.g., Prometheus, Grafana, Loki, ELK Stack) to ensure real-time system health insights and rapid incident response.
Establish performance baselines, conduct stress tests, and implement disaster recovery strategies.

3. Production Stability & Issue Resolution

Proactively monitor production environments, anticipating potential failures and bottlenecks.
Triage, diagnose, and resolve production incidents with minimal downtime, using robust logging, tracing, and on-call rotation strategies.
Drive root cause analysis and post-mortems for production incidents, implementing preventative measures.

4. Collaboration & Cross-Functional Coordination

Work closely with the AI team to integrate MLOps pipelines, ensuring smooth data flow and secure model deployment.
Collaborate with the Frontend team to provide well-defined API contracts, enabling efficient UI/UX development.
Partner with DevOps to define CI/CD pipelines, container orchestration (Docker, Kubernetes), and infrastructure-as-code (Terraform, CloudFormation) practices.

5. Team Leadership & Mentorship

Lead and mentor a team of backend developers, setting clear goals and providing guidance on best practices.
Perform code reviews to ensure high code quality, maintainability, and adherence to design standards.
Foster a culture of continuous learning, encouraging the adoption of new technologies, tools, and methodologies.

6. Security & Compliance

Implement secure coding practices and follow industry standards (e.g., OWASP Top 10).
Work with compliance teams to ensure data privacy and regulatory requirements (HIPAA) are met.
Oversee authentication/authorization frameworks (OAuth, JWT, etc.) and data encryption at rest and in transit(Encryption, SSL/TLS).

7. Documentation

Maintain comprehensive technical documentation, including architecture diagrams, APIs, database schemas, and operational runbooks.
Facilitate knowledge sharing sessions and handovers to ensure smooth onboarding of new team members.

Qualifications

Education:

Bachelor’s or master's degree in computer science,engineering, or a related field.

Experience:

8+ years of experience in backend or full-stack development, with 3+ years in a technical lead or architect role.
Demonstrated history of leading and delivering large-scale, distributed systems in production environments.

Technical Expertise:

Languages & Frameworks: Proficiency in modern backend languages (e.g., Python) and associated frameworks (Django/FastAPI, etc.).
Database Systems: Strong knowledge of both SQL (MySQL, PostgreSQL) and NoSQL (MongoDB, Cassandra) databases, including data modeling and query optimization.
Microservices & Architecture: Hands-on experience with microservices,containerization (Docker, Kubernetes), and service mesh architectures.
Cloud Platforms: Experience with cloud providers like AWS and Azure for deployment, scaling, and monitoring.
CI/CD & DevOps: Familiarity with CI/CD pipelines, Git workflows,infrastructure-as-code, and automated testing.
Monitoring & Observability: Proficiency with tools like Prometheus, Grafana, ELK Stack, Loki for real-time monitoring and log analysis.

Soft Skills:

Leadership: Ability to lead teams, manage conflict, and drive a vision for the backend architecture.
Communication: Strong written and verbal communication skills to coordinate with cross-functional teams (AI, Frontend, QA, Product).
Problem-Solving: Analytical mindset for troubleshooting complex issues in high- pressure environments.
Collaboration: Demonstrated capability to work seamlessly across multiple teams and stakeholders.

Job Summary:

delivering a robust, secure, and feature-rich experience to our customers.

Key Responsibilities:

1. System Architecture & Design

Define and implement the overall backend architecture for multi-tenant SaaS applications, ensuring scalability, high availability, security, and compliance.
Design microservices and RESTful/GraphQL APIs and Websockets in alignment with front-end and AI requirements.
Establish design patterns and best practices for code modularity, performance optimization, and scalability.

2. Scalability & Performance

Identify performance bottlenecks and oversee optimization strategies (caching, load balancing, message queues, etc.).
Implement and maintain monitoring/observability solutions (e.g., Prometheus, Grafana, Loki, ELK Stack) to ensure real-time system health insights and rapid incident response.
Establish performance baselines, conduct stress tests, and implement disaster recovery strategies.

3. Production Stability & Issue Resolution

Proactively monitor production environments, anticipating potential failures and bottlenecks.
Triage, diagnose, and resolve production incidents with minimal downtime, using robust logging, tracing, and on-call rotation strategies.
Drive root cause analysis and post-mortems for production incidents, implementing preventative measures.

4. Collaboration & Cross-Functional Coordination

Work closely with the AI team to integrate MLOps pipelines, ensuring smooth data flow and secure model deployment.
Collaborate with the Frontend team to provide well-defined API contracts, enabling efficient UI/UX development.
Partner with DevOps to define CI/CD pipelines, container orchestration (Docker, Kubernetes), and infrastructure-as-code (Terraform, CloudFormation) practices.

5. Team Leadership & Mentorship

Lead and mentor a team of backend developers, setting clear goals and providing guidance on best practices.
Perform code reviews to ensure high code quality, maintainability, and adherence to design standards.
Foster a culture of continuous learning, encouraging the adoption of new technologies, tools, and methodologies.

6. Security & Compliance

Implement secure coding practices and follow industry standards (e.g., OWASP Top 10).
Work with compliance teams to ensure data privacy and regulatory requirements (HIPAA) are met.
Oversee authentication/authorization frameworks (OAuth, JWT, etc.) and data encryption at rest and in transit(Encryption, SSL/TLS).

7. Documentation

Maintain comprehensive technical documentation, including architecture diagrams, APIs, database schemas, and operational runbooks.
Facilitate knowledge sharing sessions and handovers to ensure smooth onboarding of new team members.

Qualifications

Education:

Bachelor’s or master's degree in computer science,engineering, or a related field.

Experience:

8+ years of experience in backend or full-stack development, with 3+ years in a technical lead or architect role.
Demonstrated history of leading and delivering large-scale, distributed systems in production environments.

Technical Expertise:

Languages & Frameworks: Proficiency in modern backend languages (e.g., Python) and associated frameworks (Django/FastAPI, etc.).
Database Systems: Strong knowledge of both SQL (MySQL, PostgreSQL) and NoSQL (MongoDB, Cassandra) databases, including data modeling and query optimization.
Microservices & Architecture: Hands-on experience with microservices,containerization (Docker, Kubernetes), and service mesh architectures.
Cloud Platforms: Experience with cloud providers like AWS and Azure for deployment, scaling, and monitoring.
CI/CD & DevOps: Familiarity with CI/CD pipelines, Git workflows,infrastructure-as-code, and automated testing.
Monitoring & Observability: Proficiency with tools like Prometheus, Grafana, ELK Stack, Loki for real-time monitoring and log analysis.

Soft Skills:

Leadership: Ability to lead teams, manage conflict, and drive a vision for the backend architecture.
Communication: Strong written and verbal communication skills to coordinate with cross-functional teams (AI, Frontend, QA, Product).
Problem-Solving: Analytical mindset for troubleshooting complex issues in high- pressure environments.
Collaboration: Demonstrated capability to work seamlessly across multiple teams and stakeholders.

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About Reliable Group IN

Founded :

1972

Type :

Products & Services

Size :

100-1000

Stage :

Profitable

About

Let's make AI work for your business. Reliable Group specializes in assembling skilled engineering teams proficient in AI, ML, as well as traditional tech stacks to deliver results in your AI-driven initiatives. At Reliable Group, we understand that the success of your AI and ML endeavors hinges on having the right team with the right expertise. With decades of experience in custom software solutions and a deep understanding of AI technologies, we ensure that your AI aspirations become tangible, efficient solutions that meet your deadlines. Why Choose Reliable Group? Expert Engineering Talent: Our carefully curated teams of AI and ML specialists are equipped with the skills and knowledge to tackle complex challenges and deliver exceptional results. Efficiency & Productivity: We assess the timelines and human talent required to achieve your deadlines and keep track along the way. Achieving Results with Confidence: We have a track record of delivering projects exactly as you envisioned them, without compromise. Dynamic Solutions: AI is changing rapidly and what was relevant yesterday may be obsolete today. We have decades of experience in machine learning and AI models to assess and implement dynamic systems for your specific needs. Ready to turn your AI questions into business-proven answers? Connect with us to explore how our team can help you meet your AI goals.

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