AI Native Backend Engineer ( Core Java, 3 Months contract

AI Native Backend Engineer ( Core Java, 3 Months contract

AI Native Backend Engineer ( Core Java, 3 Months contract at Staffnixcom · Chennai, Bengaluru (Bangalore), Ahmedabad · 3 - 6 years · ₹25L - ₹27L / yr · Bootstrapped · Posted 16 Oct 2026

AI Native Backend Engineer ( Core Java, 3 Months contract

at Staffnixcom

Posted by Mayank Choudhary

3 - 6 yrs

₹25L - ₹27L / yr

Chennai, Bengaluru (Bangalore), Ahmedabad

Skills

Java

Python

Strong Backend Software Engineer Profile with strong Core Java expertise

2

Mandatory (Experience 1): Must have 2+ years of hands-on backend software engineering experience.

3

Mandatory (Experience 2): Must be able to design and implement moderately complex features with minimal supervision, and contribute to system design and architecture discussions.

4

Mandatory (Experience 3): Must be comfortable owning business-critical production components — maintaining connectors, handling customer escalations, security fixes, bug fixes, and building new features end-to-end.

5

Mandatory (Tech skill 1): Must have strong, current Core Java depth with solid, clear coding fundamentals — Java is the primary skill for this role. Deep hands-on core engineering strength matters more than framework knowledge.

6

Mandatory (Tech skill 2): Must have strong core backend engineering fundamentals and experience with scalable systems (connectors handle millions of events/data points daily across customers).

7

Mandatory (Tech skill 3): Must have microservices experience.

8

Mandatory (AI Fluency): Must have demonstrated, hands-on use of AI coding assistants (Claude, GitHub Copilot, Cursor, etc.) as a core part of the daily workflow — scaffolding, writing tests, reviewing code, and debugging — with the ability to write precise, effective prompts for production-quality output, decompose tasks so AI assistance is effective, and critically evaluate AI-generated code for correctness, security, and standards before merging.

9

Mandatory (AI-Native): Must have actually built and deployed AI/LLM-powered features in production (e.g. RAG, LLM-based scoring, AI assistant) — demonstrable AI-native engineering, not merely using AI tools to write code.

10

Mandatory (Database): Hands-on database / JDBC integration experience in a production environment.

11

Mandatory (Company): Must come from a product company background (B2B SaaS or B2C both acceptable).

12

Mandatory (Note1): This is a 3-month contract role. Candidate must be comfortable with the contract engagement and able to join immediately (urgent — onboarding within ~a week)

13

Mandatory (Note 2): Must be based in or near Chennai, Bangalore, or Ahmedabad (Chennai: hybrid, Tue & Thu in office)

14

Preferred (Backend): Hands-on Python experience is a plus.

Strong Backend Software Engineer Profile with strong Core Java expertise

2

Mandatory (Experience 1): Must have 2+ years of hands-on backend software engineering experience.

3

Mandatory (Experience 2): Must be able to design and implement moderately complex features with minimal supervision, and contribute to system design and architecture discussions.

4

Mandatory (Experience 3): Must be comfortable owning business-critical production components — maintaining connectors, handling customer escalations, security fixes, bug fixes, and building new features end-to-end.

5

Mandatory (Tech skill 1): Must have strong, current Core Java depth with solid, clear coding fundamentals — Java is the primary skill for this role. Deep hands-on core engineering strength matters more than framework knowledge.

6

Mandatory (Tech skill 2): Must have strong core backend engineering fundamentals and experience with scalable systems (connectors handle millions of events/data points daily across customers).

7

Mandatory (Tech skill 3): Must have microservices experience.

8

Mandatory (AI Fluency): Must have demonstrated, hands-on use of AI coding assistants (Claude, GitHub Copilot, Cursor, etc.) as a core part of the daily workflow — scaffolding, writing tests, reviewing code, and debugging — with the ability to write precise, effective prompts for production-quality output, decompose tasks so AI assistance is effective, and critically evaluate AI-generated code for correctness, security, and standards before merging.

9

Mandatory (AI-Native): Must have actually built and deployed AI/LLM-powered features in production (e.g. RAG, LLM-based scoring, AI assistant) — demonstrable AI-native engineering, not merely using AI tools to write code.

10

Mandatory (Database): Hands-on database / JDBC integration experience in a production environment.

11

Mandatory (Company): Must come from a product company background (B2B SaaS or B2C both acceptable).

12

Mandatory (Note1): This is a 3-month contract role. Candidate must be comfortable with the contract engagement and able to join immediately (urgent — onboarding within ~a week)

13

Mandatory (Note 2): Must be based in or near Chennai, Bangalore, or Ahmedabad (Chennai: hybrid, Tue & Thu in office)

14

Preferred (Backend): Hands-on Python experience is a plus.

Read more

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About Staffnixcom

Founded :

2024

Type :

Services

Size :

0-20

Stage :

Bootstrapped

About

First B2B Recruitment Agency Platform - Helping agencies grow faster and professionals find verified opportunities.

Read more

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Senior Software Engineer – Backend

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Location: Bangalore, Hybrid

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About the Role

House of EdTech is looking for a Senior Software Engineer – Backend to design, develop, and scale high-performance backend services and APIs supporting products used by millions of learners.

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What You'll Do

Design and develop scalable backend services and REST APIs.
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Own backend features from design and development through deployment and monitoring.
Work with microservices, databases, and distributed systems.
Identify and solve performance, scalability, reliability, and security challenges.
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5+ years of professional backend development experience.
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Strong software engineering fundamentals, including security, reliability, testing, and code quality.
Experience with system design, architecture, and technical decision-making.
Strong communication and cross-functional collaboration skills.
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Backend Engineering (Java + Distributed Systems/API)

Role Summary

We are looking for an experienced Java Backend Engineer who has strong hands-on expertise in multithreading (concurrency), distributed systems, transactional processing, and backend design. The role requires someone who can design, develop, and optimize services running in high-volume, low-latency enterprise environments.

Key Responsibilities

· Design and implement scalable backend services using Java (8/11/17) and Spring Boot.

· Build high-performance systems leveraging multithreading, concurrency controls, and asynchronous programming.

· Work on distributed system components such as messaging, caching, service discovery, and consistency models.

· Implement robust transaction handling using ACID principles, isolation levels, distributed transactions, and rollback mechanisms.

· Develop RESTful and event-driven APIs following best practices for security and reliability.

· Participate in architecture discussions, design reviews, and technical planning.

Must-Have Skills

· Strong Java 8+ (Streams, functional programming, Collections)

· Spring Boot, Spring MVC, Spring Data

· Concurrency & multithreading (executor frameworks, locks, synchronization, concurrent collections)

· Transaction handling: JPA/JDBC, Spring transactions, isolation levels

· Distributed systems: microservices communication, Kafka/RabbitMQ, caching, resilience patterns

· System design: scalability, load balancing, fault tolerance

Role Type

Backend Engineering (Java + Distributed Systems/API)

Role Summary

We are looking for an experienced Java Backend Engineer who has strong hands-on expertise in multithreading (concurrency), distributed systems, transactional processing, and backend design. The role requires someone who can design, develop, and optimize services running in high-volume, low-latency enterprise environments.

Key Responsibilities

· Design and implement scalable backend services using Java (8/11/17) and Spring Boot.

· Build high-performance systems leveraging multithreading, concurrency controls, and asynchronous programming.

· Work on distributed system components such as messaging, caching, service discovery, and consistency models.

· Implement robust transaction handling using ACID principles, isolation levels, distributed transactions, and rollback mechanisms.

· Develop RESTful and event-driven APIs following best practices for security and reliability.

· Participate in architecture discussions, design reviews, and technical planning.

Must-Have Skills

· Strong Java 8+ (Streams, functional programming, Collections)

· Spring Boot, Spring MVC, Spring Data

· Concurrency & multithreading (executor frameworks, locks, synchronization, concurrent collections)

· Transaction handling: JPA/JDBC, Spring transactions, isolation levels

· Distributed systems: microservices communication, Kafka/RabbitMQ, caching, resilience patterns

· System design: scalability, load balancing, fault tolerance

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Egnyte

Staff Software Engineer - AI

4 recruiters

John Vivek

Posted by John Vivek

Remote only

8 - 25 yrs

₹10L - ₹70L / yr

Java

Artificial Intelligence (AI)

Generative AI

Spring Boot

Hibernate (Java)

+1 more

Staff Engineer - AI:

Location : India, Remote

Job Description

Egnyte is seeking an experienced Staff Software Engineer to join our Engineering department. The Engineering department builds large distributed components and services that run Egnyte's Cloud Platform. Our code serves billions of requests per day with sub-second latency in a fault-tolerant environment. We process and analyze millions of files and events daily. Some of the responsibilities for this department include Egnyte's Cloud File System, Content Classification, Content Lifecycle Management, User Behavior Analysis, Object Store, Metadata Stores, Search Systems, Recommendations Systems, Synchronization, and intelligent caching of multi-petabyte datasets. We are looking for candidates with a shared passion for building large-scale distributed systems and a keen sense for tackling complexities that come with scaling through multiple orders of magnitude.

In this role, you will (But are not limited to):

Design and develop highly scalable and resilient cloud architecture that seamlessly integrates with on-premises systems
Drive the team’s goals and technical direction to find and pursue technical opportunities that make Egnyte’s cloud platform more efficient
Effectively communicate complex design and architecture details
Understand company and industry-wide trends to help develop new technologies
Conceptualize, develop, and implement changes that prevent key systems from becoming unreliable, under-utilized, or unsupported
Own all aspects of critical software projects from design to implementation, QA, deployment, and monitoring

Qualifications

BS, MS, or PhD. in Computer Science or related technical field, or equivalent practical experience
8-15 years of professional experience in engineering with a history of technical innovation
Experience providing technical leadership to engineers

Bonus Qualifications (Good to Have)

The breadth of knowledge across infrastructure domains, with the ability to reason about everything from data center machine software to database solutions to machine learning infrastructure to front-end web or mobile applications
Demonstrated success in designing and developing large-scale, complex systems
Expertise with multi-tenant, highly complex, cloud solutions; experience with Hybrid and/or on-premises solutions desired

About Egnyte

In a content critical age, Egnyte fuels business growth by enabling content-rich business processes, while also providing organizations with visibility and control over their content assets. Egnyte’s cloud-native content services platform leverages the industry’s leading content intelligence engine to deliver a simple, secure, and vendor-neutral foundation for managing enterprise content across business applications and storage repositories. More than 16,000 customers trust Egnyte to enhance employee productivity, automate data management, and reduce file-sharing cost and complexity. Investors include Google Ventures, Kleiner Perkins, Caufield & Byers, and Goldman Sachs. For more information, visit www.egnyte.com

Staff Engineer - AI:

Location : India, Remote

Job Description

Egnyte is seeking an experienced Staff Software Engineer to join our Engineering department. The Engineering department builds large distributed components and services that run Egnyte's Cloud Platform. Our code serves billions of requests per day with sub-second latency in a fault-tolerant environment. We process and analyze millions of files and events daily. Some of the responsibilities for this department include Egnyte's Cloud File System, Content Classification, Content Lifecycle Management, User Behavior Analysis, Object Store, Metadata Stores, Search Systems, Recommendations Systems, Synchronization, and intelligent caching of multi-petabyte datasets. We are looking for candidates with a shared passion for building large-scale distributed systems and a keen sense for tackling complexities that come with scaling through multiple orders of magnitude.

In this role, you will (But are not limited to):

Design and develop highly scalable and resilient cloud architecture that seamlessly integrates with on-premises systems
Drive the team’s goals and technical direction to find and pursue technical opportunities that make Egnyte’s cloud platform more efficient
Effectively communicate complex design and architecture details
Understand company and industry-wide trends to help develop new technologies
Conceptualize, develop, and implement changes that prevent key systems from becoming unreliable, under-utilized, or unsupported
Own all aspects of critical software projects from design to implementation, QA, deployment, and monitoring

Qualifications

BS, MS, or PhD. in Computer Science or related technical field, or equivalent practical experience
8-15 years of professional experience in engineering with a history of technical innovation
Experience providing technical leadership to engineers

Bonus Qualifications (Good to Have)

The breadth of knowledge across infrastructure domains, with the ability to reason about everything from data center machine software to database solutions to machine learning infrastructure to front-end web or mobile applications
Demonstrated success in designing and developing large-scale, complex systems
Expertise with multi-tenant, highly complex, cloud solutions; experience with Hybrid and/or on-premises solutions desired

About Egnyte

In a content critical age, Egnyte fuels business growth by enabling content-rich business processes, while also providing organizations with visibility and control over their content assets. Egnyte’s cloud-native content services platform leverages the industry’s leading content intelligence engine to deliver a simple, secure, and vendor-neutral foundation for managing enterprise content across business applications and storage repositories. More than 16,000 customers trust Egnyte to enhance employee productivity, automate data management, and reduce file-sharing cost and complexity. Investors include Google Ventures, Kleiner Perkins, Caufield & Byers, and Goldman Sachs. For more information, visit www.egnyte.com

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