11+ Database modeling Jobs in Bangalore (Bengaluru) | Database modeling Job openings in Bangalore (Bengaluru)

Roles & Responsibilities:

• Write well-designed, testable, efficient, and high-quality code.
• Design (LLD & HLD) and architect technical solutions for the business problems of a large-scale system.
• Prepare and produce releases of software components.
• Support continuous improvement by investigating alternatives and technologies.
• Contribute to all phases of the development lifecycle.
• Lead the backend engineering team with examples.

Requirements:

• 5+ years’ experience under your belt developing performance-critical applications that run in a production environment using Node.Js
• Expertise in Database modeling, preferably relational DB, spotting DB bottlenecks, and writing optimized DB queries.
• Expertise in common Cloud technologies, AWS/GCP Knowledge of CI/CD tools and workflows.
• Knowledge in one or more of the following: NoSQL (especially, but not only Redis), Queueing system experience (Kafka, RabbitMQ, ActiveMQ, MSMQ)
• Good stakeholder management skills, with an ability to build trust and rapport with internal and external stakeholders
• It is good to have knowledge of Kubernetes and Docker and related deployment technologies.

Job Description

We are seeking a highly skilled DevOps / Kubernetes Engineer. The ideal candidate will have strong expertise in container orchestration, infrastructure as code, and GitOps workflows, with hands-on experience in Azure cloud environments. You will be responsible for designing, deploying, and managing modern cloud-native infrastructure and applications at scale.

Key Responsibilities:

· Manage and operate Kubernetes clusters (AKS / K3s) for large-scale applications.

· Implement infrastructure as code using Terraform or OpenTofu for scalable, reliable, and secure infrastructure provisioning.

· Deploy and manage applications using Helm and ArgoCD with GitOps best practices.

· Work with Podman and Docker as container runtimes for development and production environments.

· Collaborate with cross-functional teams to ensure smooth deployment pipelines and CI/CD integrations.

· Optimize infrastructure for cost, performance, and reliability within Azure cloud.

· Troubleshoot, monitor, and maintain system health, scalability, and performance.

Required Skills & Experience:

· Strong hands-on experience with Kubernetes (AKS / K3s) cluster orchestration.

· Proficiency in Terraform or OpenTofu for infrastructure as code.

· Experience with Helm and ArgoCD for application deployment and GitOps.

· Solid understanding of Docker / Podman container runtimes.

· Cloud expertise in Azure with experience deploying and scaling workloads.

· Familiarity with CI/CD pipelines, monitoring, and logging frameworks.

· Knowledge of best practices around cloud security, scalability, and high availability.

Preferred Qualifications:

· Contributions to open-source projects under Apache 2.0 / MPL 2.0 licenses.

· Experience working in global distributed teams across CST/PST time zones.

· Strong problem-solving skills and ability to work independently in a fast-paced environment.

NOW HIRING · WORLD-CLASS TALENT Backend Tech Lead (Senior Level Engineering Leadership)

Placed by Recruiting Bond on behalf of a Confidential Digital Platform Leader

📍Location: Bengaluru, India (Hybrid / On-Site)

🏢Sector: Technology, Information & Media

👥Company Size: 500 – 1,000 Employees

💼Employment: Full-Time, Permanent

🎯Experience: 6 – 9 Years (Backend Engineering)

🚀 Level: Tech Lead

ABOUT THIS MANDATE

Recruiting Bond has been exclusively retained by one of India's most well-established digital platform organisations — a company operating at the intersection of Technology, Information, and Media — to identify and place a world-class Backend Tech Lead who can drive a transformational engineering agenda at scale.

This is not an ordinary role. The organisation is executing a high-stakes, large-scale modernisation of its backend infrastructure — migrating from legacy monolithic systems to resilient, cloud-native, AI-augmented distributed architectures that serve millions of concurrent users. The person in this seat will be a core pillar of that transformation.

We are looking exclusively for the top 1% — engineers who think in systems, own outcomes, and lead by example.

THE OPPORTUNITY AT A GLANCE

🏗️ Architecture Ownership

Drive system design decisions across the entire backend platform. Shape the future of distributed, fault-tolerant architecture.

🤖 AI-Augmented Engineering

Embed GenAI and LLM tooling directly into the SDLC. Champion automation-first development practices across squads.

🎓 Engineering Leadership

Mentor and grow the next generation of backend engineers. Lead hiring, reviews, and cross-functional technical alignment.

KEY RESPONSIBILITIES

1. Architecture & Platform Modernisation

• Lead the full migration of legacy monolithic systems to a scalable, cloud-native microservices architecture
• Design and own distributed, fault-tolerant backend systems with sub-millisecond SLO targets
• Architect API-first and event-driven platforms using async messaging patterns (Kafka, Pub/Sub, SQS)
• Resolve systemic performance bottlenecks, concurrency conflicts, and scalability ceilings
• Establish backend design standards, coding guidelines, and architectural review processes

2. Distributed Systems Engineering (Production-Grade)

• Design and implement Webhook reliability frameworks with intelligent retry and exponential backoff strategies
• Build idempotent, versioned APIs with enterprise-grade rate limiting and throttling controls
• Implement circuit breakers, bulkheads, and resilience patterns using Resilience4j / Hystrix or equivalents
• Engineer Dead-Letter Queue (DLQ) strategies and event reprocessing pipelines with guaranteed delivery semantics
• Apply Saga orchestration and choreography patterns for distributed transaction integrity
• Execute zero-downtime deployments and canary release strategies with rollback capability
• Design and enforce multi-region disaster recovery and business continuity protocols

3. AI-Driven Engineering Practices

• Champion LLM and GenAI adoption as first-class tooling across the software development lifecycle
• Apply prompt engineering techniques for automated code generation, review, and documentation workflows
• Utilise AI-assisted debugging, root cause analysis, and predictive performance optimisation
• Build automation-first pipelines that reduce toil and accelerate delivery velocity
• Evaluate and integrate emerging AI developer tools into the engineering ecosystem

4. Engineering Leadership & Culture

• Own backend platforms end-to-end with full accountability across development, stability, and performance
• Actively mentor, coach, and elevate engineers at all levels (L3–L6) through structured 1:1s and code reviews
• Drive and lead technical hiring — from designing assessments to final hire decisions
• Partner with Product, Data, DevOps, and Security stakeholders to align engineering with business objectives
• Represent the engineering org in cross-functional roadmap planning and architecture decision reviews
• Foster a culture of technical excellence, psychological safety, and high-velocity delivery

TECHNOLOGY STACK (HANDS-ON PROFICIENCY REQUIRED)

Languages: Java (primary) · Go · Python · Node.js · PHP · Rust

Cloud: AWS · GCP · Azure (Multi-cloud exposure preferred)

Containers: Docker · Kubernetes · Helm · Service Mesh (Istio / Linkerd)

Databases: PostgreSQL · MySQL · MongoDB · Cassandra · Redis · Elasticsearch

Messaging: Apache Kafka · RabbitMQ · AWS SQS/SNS · Google Pub/Sub

Observability: Datadog · Prometheus · Grafana · OpenTelemetry · Jaeger · ELK Stack

CI/CD & IaC: GitHub Actions · Jenkins · ArgoCD · Terraform · Ansible

AI & GenAI: OpenAI / Claude APIs · LangChain · RAG Pipelines · GitHub Copilot · Cursor

QUALIFICATIONS & CANDIDATE PROFILE

Education

• B.E. / B.Tech or M.E. / M.Tech from a Tier-I or Tier-II Institution — CS, IS, ECE, AI/ML streams strongly preferred
• Exceptional real-world engineering track record may be considered in lieu of institution pedigree

Experience

• 6 to 9 years of progressive backend engineering experience with demonstrable ownership and impact
• Proven track record of shipping and scaling production SaaS / Product systems at significant user load
• Exposure to and success within start-up, mid-size, and large-scale product organisations — the full spectrum
• Strong computer science fundamentals: algorithms, data structures, distributed systems theory, OS internals
• Demonstrated career stability — minimum 2 years average tenure per organisation
• The Ideal Candidate Exemplifies
• System-level thinking with an ability to hold context across code, architecture, product, and business
• An ownership mindset — no task is 'not my job'; outcomes and quality are personal commitments
• Strong written and verbal communication skills for asynchronous, cross-functional collaboration
• Intellectual curiosity: actively follows engineering trends, contributes to the community (OSS, blogs, talks)
• Bias for automation, observability, and engineering efficiency at every level
• A mentor's instinct — genuine desire to grow others and raise the capability of the team around them

WHY THIS ROLE STANDS APART

✅ Transformational Scope

Lead platform modernisation at scale. Your architectural choices will define systems serving millions of users for years.

✅ AI-Forward Engineering Culture

Be at the forefront of AI-augmented development. This org invests in tools and practices that make great engineers exceptional.

✅ Established, Stable Platform

Join a company with 500–1,000 employees, proven product-market fit, and the resources to execute on a serious technical vision.

✅ Career-Defining Leadership

Operate with strategic influence, direct access to senior leadership, and a clear path toward Principal / Staff / VP Engineering.

HOW TO APPLY

This search is being managed exclusively by Recruiting Bond

Submit your application with an updated resume

Only shortlisted candidates will be contacted. All applications are treated with the strictest confidentiality.

⚡ We move fast — qualified candidates can expect a response within 48–72 business hours.

Recruiting Bond | Bengaluru, Karnataka, India | 2026

Job Title: Lead Backend Developer

Location: Bengaluru, India 

iAI Solution Pvt Ltd (https://iaisolution.com/),operates at the edge of applied AI where foundational research meets real-world deployment. We craft intelligent systems that think in teams, adapt with context, and deliver actionable insight across domains.

Position Summary:

• We are looking for a Lead Backend Developer with 4+ years of professional experience in Python-based development, especially using FastAPI and MongoDB. The ideal candidate is skilled in building and maintaining scalable, high-performance back-end services and APIs, has strong understanding of modern database design (SQL & NoSQL), and has experience integrating backend services with cloud platforms.
• Experience or interest in AI/ML projects is a strong plus, as our products often interface with LLMs and real-time AI pipelines.
• Key Responsibilities:
• Design, build, and maintain robust backend services using Python and FastAPI.
• Develop and maintain scalable RESTful APIs for internal tools and third-party integrations.
• Work with MongoDB, PostgreSQL, and Redis to manage structured and unstructured data efficiently.
• Collaborate with frontend, DevOps, and AI/ML teams to deliver secure and performant backend infrastructure.
• Implement best practices in code architecture, performance optimization, logging, and monitoring.
• Ensure APIs and systems are production-ready, fault-tolerant, and scalable.
• Handle API versioning, documentation (Swagger/OpenAPI), and error management.
• Optimize queries, indexes, and DB schema for high-performance data access.
• Maintain clean code with emphasis on object-oriented principles and modular design.
• Troubleshoot production issues and deliver timely fixes and improvements.

Qualifications:

• Overall Experience: 4+ years in backend software development.
• Python: Strong proficiency with object-oriented programming.
• Frameworks: Hands-on experience with FastAPI (preferred), Django.

Databases:

• MongoDB: Experience with schema design, aggregation pipelines, and indexing.
• Familiarity with SQL databases (PostgreSQL/MySQL).
• Experience with Redis and optionally Supabase.

API Development:

• Proficient in building and documenting REST APIs.
• Strong understanding of HTTP, request lifecycles, and API security.

Testing & Debugging:

• Strong debugging and troubleshooting skills using logs and tools.

Performance & Scalability:

• Experience optimizing backend systems for latency, throughput, and reliability.

Tools:

Git, Docker, Linux commands for development environments.

Must-Have Skills:

• Proficiency in Python and object-oriented programming
• Strong hands-on experience with FastAPI (or similar async frameworks)
• Knowledge of MongoDB for schema-less data storage and complex queries
• Experience building and managing REST APIs in production
• Comfortable working with Redis, PostgreSQL, or other data stores
• Experience with Dockerized environments and Git workflows
• Solid grasp of backend architecture, asynchronous programming, and performance tuning
• Ability to write clean, testable, and maintainable code

Good-to-Have Skills:

• Experience with asynchronous programming using async/await
• Integration with third-party APIs (e.g., Firebase, GCP, Azure services)
• Basic understanding of WebSocket and real-time backend patterns
• Exposure to AI/ML pipelines, model APIs, or vector DBs (e.g., FAISS)
• Basic DevOps exposure: GitHub Actions, Docker Compose, Nginx
• Familiarity with JWT, OAuth2, and backend security practices
• Familiarity with CI/CD pipelines and versioning
• Basic understanding of GraphQL or gRPC is a plus

Preferred Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related field
• 
  
• Demonstrated experience delivering production-grade backend services
• 
  
• Experience working in agile teams and using tools like Jira
• 
  
• Familiarity with Agile/Scrum methodologies and sprint cycles
• 
  
• Interest or experience in AI/ML-integrated systems is a plus
• 
  

Perks & Benefits:

• Competitive salary with performance-based bonuses
• Opportunity to work on AI-integrated platforms and intelligent products
• Access to latest tools, cloud platforms, and learning resources
• Flexible working hours and hybrid work options
• Wellness initiatives and team-building activities

Required Skills:

• 2+ year of experience in Development in JAVA technology.
• Strong Java Basics
• SpringBoot or Spring MVC
• Hands on experience on Relational Databases (SQL query or Hibernate) + Mongo (JSON parsing)
• Proficient in REST API development
• Messaging Queue (RabitMQ or Kafka)
• Microservices
• Any Caching Mechanism
• Good at problem solving

Good to Have Skills:

• 4+ years of experience in using Java/J2EE tech stacks
• Good understanding of data structures and algorithms.
• Excellent analytical and problem solving skills.
• Ability to work in a fast paced internet start-up environment.
• Experience in technical mentorship/coaching is highly desirable.
• Understanding of AI/ML algorithms is a plus.

• Extensive experience in developing Java EE application
• Hands-on experience working with Spring, Spring Boot
• In-depth knowledge of relational and NoSQL databases.
• Experience working with Java Web Services, RESTful services 
• Experience using Redis, Memcached or any other caching system
• Experience working with message brokers– preferably RabbitMQ
• Experience with infrastructure automation technologies like Docker, Kubernetes.
• Experience with build automation technologies like Maven, Gradle.