11+ Pyramid Jobs in Coimbatore | Pyramid Job openings in Coimbatore

·        Should have 5 to 6 years of work experience as a Python Developer

·        Expertise in at least one popular Python framework (like Django, Flask or Pyramid)

·        Knowledge of object-relational mapping (ORM)

·        Familiarity with front-end technologies (like JavaScript and HTML5)

·        Should have completed B.E/B.Tech. /MCA in any field.

·        Good problem-solving skills and Team spirit.

·        Writing scalable code using Python programming language.

·        Testing and debugging applications.

·        Developing back-end components.

·        Integrating user-facing elements using server-side logic.

·        Assessing and prioritizing client feature requests.

·        Integrating data storage solutions.

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

The candidate should have extensive experience in designing and developing scalable data pipelines and real-time data processing solutions. As a key member of the team, the Senior Data Engineer will play a critical role in building end-to-end data workflows, supporting machine learning model deployment, and driving MLOps practices in a fast-paced, agile environment. Strong expertise in Apache Kafka, Apache Flink, AWS SageMaker, and Terraform is essential. Additional experience with infrastructure automation and CI/CD for ML models is a significant advantage.

Key Responsibilities

1. Design, develop, and maintain high-performance ETL and real-time data pipelines using Apache Kafka and Apache Flink.
2. Build scalable and automated MLOps pipelines for training, validation, and deployment of models using AWS SageMaker and associated services.
3. Implement and manage Infrastructure as Code (IaC) using Terraform to provision and manage AWS environments.
4. Collaborate with data scientists, ML engineers, and DevOps teams to streamline model deployment workflows and ensure reliable production delivery.
5. Optimize data storage and retrieval strategies for large-scale structured and unstructured datasets.
6. Develop data transformation logic and integrate data from various internal and external sources into data lakes and warehouses.
7. Monitor, troubleshoot, and enhance performance of data systems in a cloud-native, fast-evolving production setup.
8. Ensure adherence to data governance, privacy, and security standards across all data handling activities.
9. Document data engineering solutions and workflows to facilitate cross-functional understanding and ongoing maintenance.

About the Role

At Techjays, we build production-grade AI systems for global clients. We are looking for a Solution Architect who can bridge the gap between client needs and technical delivery — someone who can walk into a client room, understand their business challenges, and walk out with a compelling, technically sound AI solution.

This role sits at the intersection of pre-sales, solutioning, and delivery governance.

What You'll Do

• Own end-to-end solutioning from client discovery to architecture design
• Partner with pre-sales teams on RFPs, proposals, and client presentations
• Define architectures for LLM integrations, RAG pipelines, and agentic workflows
• Conduct architecture reviews and technical assessments for ongoing projects
• Act as a trusted technical advisor to enterprise clients during pre-sales

Key Skills

• Python, REST APIs, Microservices, Distributed Systems
• AWS / Azure / GCP, Docker, Kubernetes, CI/CD
• LLM Integrations, RAG Pipelines, AI Agents, Vector Databases
• Enterprise data architecture and integration patterns
• Strong client communication and presentation skills

Who You Are

• Client-first mindset — listens, understands, and translates business pain into technical clarity
• Strong communicator comfortable with C-level stakeholders
• High ownership — accountable for every solution you sign off on
• Collaborative across sales, delivery, and engineering

What We Offer

• Flexible work environment
• Paid holidays & flexible time off
• Medical insurance (Self & Family up to ₹4 Lakhs)
• Exposure to global clients and high-impact pre-sales engagements
• A culture of clarity, integrity, and continuous growth

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 description

Strong experience with Laravel Framework

Experience in databases like MySQL

Experience in HTML, JavaScript, CSS, Angular/ReactJS/VUEJS, JQuery, Bootstrap, JSON

Requirement

Minimum 3+ years of Laravel Experience - building database-driven applications

Knowledge of Event Driven Architecture, Microservices, etc

Basic knowledge of Dev-ops - AWS, Github- Familiarity

Responsibilities   

• Understand the high-level product roadmap for the squad and immediate features to be developed, contributing to high-level estimation and lay-out of the development sequences. Complete complex development tasks with minimal guidance  
• Constantly and actively contribute to pushing code to production with the objective of becoming a main contributor. Write testable, efficient, and reusable code suitable for continuous integration and deployment, that respects best practices and industry development standards 
• Review Unified Modeling Language (UML) diagrams and technical documentation, ensuring its quality. Enable best practices to help the team achieve their technical tasks and continually thrive in improving the technology of the product/team.  
• Drive the adoption of best practices & regular participation in code reviews, design reviews, architecture discussions 
• Experiment with new and relevant technologies, and tools, and drive innovation & adoption while measuring yourself on the impact you can create. 
• Implementation of long-term technology vision for your team. Responsible for the complete architecture of your product. 
• Creating architecture & designs for new solutions around existing/new areas u Decide technology & tool choices for your team & be responsible for them. 
• Be accountable for code quality with the assistance of a QA Analyst to conduct adequate testing. 
• Review and contribute to technical documentation. Contribute actively to the design of the solution, challenging other members on technical decisions. 

Skills 

• Working with other TypeScript developers and software engineers to develop Front-end and back-end architecture that’s well-structured and flexible, along with the APIs to support it. 
• Developing and implementing Back-end architecture to support user interface concepts. 
• Developing and implementing highly responsive user interface components using Node concepts. 
• Create data visualization tools, libraries, and reusable code for prospects. 
• In-depth knowledge of TypeScript, CSS, HTML, and back-end languages. 
• Knowledge of Backend service like AWS Services, Microservice, Serverless software. 

Qualifications  

• Bachelor's degree in computer science, computer engineering, or related field. 
• Proficiency with TypeScript, CSS, HTML, and Back-end languages. 
• 7+ years’ experience in Node JS, Typescript, NoSQL, RDBMS, AWS Services 
• The ability to learn new technologies quickly 
• The ability to communicate complex procedures to other colleagues. 

Requirements

• Overall 2-8 years of software development experience in building web-based and highly scalable applications 

• Excellent understanding of core computer science concepts like algorithms, data structure, system design, OOP, etc. 

• Deep knowledge and development expertise in Core Java and SpringBoot or other equivalent frameworks 

• Strong experience in HTML5 and CSS3 and should have basic experience in JS technologies

• Good knowledge of database concepts, having SQL writing experience, and familiarity with at least one of the relational databases

• Worked in a CI/CD environment with Jenkins

• Experience working in an agile team with software engineering practices like automated testing, test-driven development, continuous integration, etc is a big plus. 

• Ability to quickly learn and evaluate new technologies and work effectively in a fast-paced, dynamic environment

• Strong oral and written communication.

• Criteria : BCA / BSc/BE / BTech passouts
• Experience Required : 1 to 2 Years (Freshers Do Not Apply)
• Candidates should be ready to learn (Low-Code .NET based platform)
• Looking for immediate joiners only