Junior Engineer

Key Responsibilities:

• Design, develop, and maintain scalable backend applications using Java and Spring Boot.
• Build and consume RESTful APIs and ensure secure, reliable API integrations.
• Develop microservices-based architecture and deploy applications in cloud environments.
• Work with cloud platforms such as AWS/Azure/GCP for application deployment and management.
• Write clean, maintainable, and efficient code following best practices.
• Implement CI/CD pipelines and support DevOps practices.
• Optimize applications for performance, scalability, and reliability.
• Collaborate with cross-functional teams including frontend, QA, DevOps, and product teams.
• Participate in code reviews, technical design discussions, and architectural decisions.
• Troubleshoot production issues and provide timely resolution.

Required Skills & Qualifications:

• 5–10 years of hands-on experience in Java (Java 8 or above).
• Strong experience with Spring Boot, Spring MVC, Spring Data, Spring Security.
• Solid understanding of RESTful API design & development.
• Experience in microservices architecture.
• Hands-on experience with at least one cloud platform (AWS / Azure / GCP).
• Knowledge of containerization tools like Docker and orchestration tools like Kubernetes.
• Experience with relational and/or NoSQL databases (MySQL, PostgreSQL, MongoDB).
• Familiarity with CI/CD tools (Jenkins, GitHub Actions, etc.).
• Strong understanding of Git and version control practices.
• Good understanding of design patterns and object-oriented programming principles.

About Techjays

At Techjays, we build production-grade AI platforms for global clients. We operate at the intersection of backend engineering, distributed systems, and applied AI — delivering secure, scalable, and enterprise-ready intelligent systems. Our team has built and scaled products at Google, Akamai, NetApp, ADP, Cognizant, and Capgemini.

About the Role

This is not a feature-delivery role. We are looking for an AI Lead who can architect, own, and scale intelligent backend systems end-to-end. You will drive both technical direction and execution — working across LLM integrations, RAG pipelines, agentic AI workflows, and cloud-native backend systems for global clients.

What You'll Do

• Architect and scale backend systems powering AI-driven applications
• Design and implement RAG pipelines, AI agents, and LLM integrations
• Own systems end-to-end — from architecture to deployment and scaling
• Integrate and optimize LLMs (Claude, GPT, Gemini) for real-world production use cases
• Build high-performance distributed systems with observability and cost efficiency
• Lead backend and AI initiatives with strong technical ownership
• Mentor engineers and raise the technical bar across teams
• Collaborate with product and AI teams to deliver AI-native solutions

What We're Looking For

• 6–10 years of strong backend engineering experience
• Hands-on expertise in Python (FastAPI / Django / Flask)
• Deep understanding of Generative AI and LLM-based systems
• Strong experience with RAG pipelines and Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate)
• Solid knowledge of Agentic AI — building autonomous agents and multi-agent workflows
• Proficiency in AWS or GCP in production environments
• Experience with distributed systems, microservices, and system design
• Strong grasp of Data Structures, Algorithms, and Design Patterns
• Familiarity with WebSockets, Git, Linux/Unix, and CI/CD

Nice to Have

• Experience with Anthropic Claude API and Claude Code
• Familiarity with real-time data systems or streaming (Kafka, etc.)
• MLOps and AI system lifecycle experience
• Optimizing AI systems for latency, cost, and scalability

Who You Are

• You think in systems, not just features
• You take full ownership of what you build
• You are comfortable navigating fast-moving, ambiguous environments
• You stay updated with the latest in Generative AI and backend technologies
• Strong communicator who can collaborate across teams and global clients

What We Offer

• Competitive compensation (Best in Industry)
• Work on production-grade AI systems used by global clients
• Exposure to cutting-edge AI tools and frameworks
• A culture that values clarity, integrity, and continuous growth

Job Title: Mac OS Storage Driver Developer – SCSI

Location: Bangalore

Position Type: Full-time Contract

Shift: Day

Experience: 5 to 8yrs

Key Responsibilities:

• Develop and maintain macOS storage drivers with a focus on SCSI protocols using the DriverKit framework.

• Collaborate with hardware engineers to understand SCSI device specifications and design drivers that seamlessly interface with macOS.

• Implement storage driver functionalities including command handling, data transfer, error recovery, and performance optimizations.

• Debug and troubleshoot driver issues leveraging macOS debugging tools like LLDB and Instruments.

• Ensure driver compliance with Apple’s security, sandboxing, and code signing requirements.

• Develop and maintain test plans, documentation, and quality assurance procedures for storage drivers.

• Participate in code reviews and maintain high code quality and best practices.

• Provide technical support during driver integration, deployment, and production troubleshooting.

Job Requirements:

• A Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related discipline.

• Proven expertise in developing macOS storage drivers, specifically SCSI-based drivers using the DriverKit framework.

• Strong proficiency in C/C++ programming; knowledge of Swift or Objective-C is a plus.

• Deep understanding of DriverKit APIs, macOS user-space driver architecture, and IO Kit storage concepts.

• Solid knowledge of SCSI protocols, commands, and storage architecture including RAID.

• Experience with debugging and profiling tools on macOS (LLDB, Instruments, system logs).

• Familiarity with macOS security model, driver sandboxing, and code signing procedures.

• Knowledge of hardware interfaces (PCI, Thunderbolt, USB) relevant to storage devices.

• Excellent problem-solving ability and eLective communication skills.

• Ability to work independently and collaboratively in an Agile environment.

Preferred Qualifications:

• Experience with Agile methodologies and SCRUM frameworks.

• Cross-platform storage driver development experience.

• Knowledge of user-space driver and daemon interaction models.

• Familiarity with continuous integration systems and automated testing strategies.

Responsibilities

- Software Engineering

- Design and develop highly scalable, available, reliable, secure and fault tolerant systems with minimal

guidance for a market leader in the logistics industry

- Partner with team members on functional and nonfunctional requirements and spread design

philosophy, goals and improve the code quality across the team

- Research new technologies and tools that enable building the next generation of our services

- Provide technology leadership to the team and foster engineering excellence

- Product Delivery

- Partner with product managers to define and execute on the feature roadmap

- Translate business requirements into scalable and extensible design

- Coordinate with various cross functional teams on planning and execution

- Maintaining automated build / test / deployment environments

Qualifications

- Software Engineering

- Should have at least 4 years of hands on experience in designing, developing, testing and deploying

applications on Java, Ruby, Kotlin, Python, Node or Go for large scale applications

- Deep knowledge of one of the programming language they have experience in

- Proficient in OOP and Design Patterns, experience with functional programming would be a plus

- Data modelling experience in Relational Databases

- Ability to design and implement low latency RESTful services

- Product Delivery

- Ability to scope, review and refine user stories for technical completeness and to alleviate dependency

risks.

- Well versed in working with agile methodologies which includes phases such as design, development,

code review, testing and release management

- Ability to have worked in a CI/CD environment, with hands on experience with Git or any similar source

code management tools

- Product Maintenance

- Experience troubleshooting server performance issues such as memory tuning, GC tuning, resource leaks

etc

- Continuously refactor applications to ensure high quality design.

• 3-8+ years of experience programming in a backend language (Java / Python), with a good understanding of troubleshooting errors. 
• 5+ years of experience in Confluent Kafka / 3+ years of experience in Confluent Kafka 

• Cloud Kafka, Control Central, Rest Proxy, HA Proxy, Confluent Kafka Connect, Confluent Kafka Security features 

Minimum of 4+ years of experience in Java development

• Experience delivering Services (REST, SOAP) and Web applications in Micro services architecture
• Experience developing and deploying Java solutions to cloud
• Experience in Spring Boot and components of Spring framework
• Experience in a JavaScript framework such as Angular or React
• Experience in TDD using Junit or similar frameworks

·       Experience in Design Patterns and service oriented architectural principles, Data structures and Algorithms.

·       Individual should be an active participant in the product design and code reviews for self and team and can competently review any aspect of their product or major sub-system.

·       Experience in SQL, Unix skills.

·       Good communication Skill