Development Engineer – Mid Ops (Java + AI) (Kar Job 219)

Development Engineer – Mid Ops (Java + AI)

Are you passionate about building scalable backend systems and working on cutting-edge distributed architectures? We are hiring a Development Engineer – Mid Ops (Java + AI) for an exciting opportunity focused on enterprise-scale backend engineering, microservices, and AI-enabled development practices. This role is ideal for professionals who thrive in high-performance engineering environments and enjoy solving complex system design challenges.

Summary Table

Role	Development Engineer – Mid Ops (Java + AI)
Location	Bangalore
Work Mode	Hybrid (3 Days Work from Office)
Experience	Mid-Level
Budget	Up to 35 LPA
Notice Period	Immediate Joiners Preferred
Payroll Company	GeekTrust
Employment Type	Full-Time

About the Opportunity

This opportunity is focused on building scalable, resilient, and high-performance backend systems that support enterprise-grade platforms and large-scale applications. The role involves working with modern distributed systems, event-driven architectures, cloud-native technologies, and AI-assisted engineering practices.

Candidates will work closely with cross-functional engineering teams to design, develop, deploy, and optimize backend services while contributing to engineering excellence and innovation.

Key Responsibilities (KRAs)

Backend Development

Design and develop scalable backend services using Java (Spring Boot) and modern engineering practices.

Distributed Systems Engineering

Build and maintain highly available distributed systems with strong focus on scalability, resilience, and fault tolerance.

Microservices & Event-Driven Architecture

Develop microservices and event-driven systems using Kafka and related messaging technologies.

API Development

Design and build secure, high-throughput REST APIs and service contracts for enterprise platforms.

Database Management

Work with relational and NoSQL databases including PostgreSQL, MongoDB, SQL/NoSQL systems, and optimize data models for performance.

Cloud & Containerization

Contribute to cloud-native application development using platforms such as AWS, Azure, or GCP along with Docker and Kubernetes.

CI/CD & Deployment

Support and improve CI/CD pipelines, deployment automation, testing practices, and release management processes.

Observability & Monitoring

Implement logging, monitoring, distributed tracing, and alerting mechanisms to ensure production readiness.

Performance Optimization

Optimize system latency, throughput, and resource utilization for high-performance applications.

AI & Automation Exposure

Leverage AI coding assistants and support integration of AI-enabled or automation-driven backend components where applicable.

Collaboration & Mentorship

Participate in technical discussions, code reviews, architectural decisions, and mentor team members to drive engineering excellence.

Required Skills & Technologies

Mandatory Skills

• Java

• Spring Boot

• Kafka

• Microservices Architecture

• REST API Development

• MongoDB

• SQL / NoSQL

• PostgreSQL

• Distributed Systems

Additional Technical Expertise

• Kotlin (Working Knowledge Preferred)

• Docker & Kubernetes

• CI/CD Pipelines

• Cloud Platforms (AWS / Azure / GCP)

• ElasticSearch

• Observability & Monitoring Tools

• Secure Coding Practices

• Authentication & Authorization Mechanisms

Candidate Requirements

Experience

• Strong experience in backend engineering and distributed systems development.

• Hands-on exposure to microservices and event-driven architectures.

Technical Strength

• Solid understanding of data structures, algorithms, and scalable system design.

• Experience building high-throughput and low-latency services.

Soft Skills

• Strong problem-solving and analytical thinking abilities.

• Excellent communication and collaboration skills.

Preferred Profile

• Exposure to AI-assisted development tools or AI-driven integrations is good to have.

• Immediate joiners will be highly preferred.

Work Location & Mode

• Location: Manyata Tech Park, Bangalore

• Work Mode: Hybrid (3 Days Work from Office)