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· 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.

GLOBAL DIGITAL TRANSFORMATION SOLUTIONS PROVIDER
Job Position: Lead II - Software Engineering
Domain: Information technology (IT)
Location: India - Thiruvananthapuram
Salary: Best in Industry
Job Positions: 1
Experience: 8 - 12 Years
Skills: .Net, Sql Azure, Rest Api, Vue.Js
Notice Period: Immediate – 30 Days
Job Summary:
We are looking for a highly skilled Senior .NET Developer with a minimum of 7 years of experience across the full software development lifecycle, including post-live support. The ideal candidate will have a strong background in .NET backend API development, Agile methodologies, and Cloud infrastructure (preferably Azure). You will play a key role in solution design, development, DevOps pipeline enhancement, and mentoring junior engineers.
Key Responsibilities:
- Design, develop, and maintain scalable and secure .NET backend APIs.
- Collaborate with product owners and stakeholders to understand requirements and translate them into technical solutions.
- Lead and contribute to Agile software delivery processes (Scrum, Kanban).
- Develop and improve CI/CD pipelines and support release cadence targets, using Infrastructure as Code tools (e.g., Terraform).
- Provide post-live support, troubleshooting, and issue resolution as part of full lifecycle responsibilities.
- Implement unit and integration testing to ensure code quality and system stability.
- Work closely with DevOps and cloud engineering teams to manage deployments on Azure (Web Apps, Container Apps, Functions, SQL).
- Contribute to front-end components when necessary, leveraging HTML, CSS, and JavaScript UI frameworks.
- Mentor and coach engineers within a co-located or distributed team environment.
- Maintain best practices in code versioning, testing, and documentation.
Mandatory Skills:
- 7+ years of .NET development experience, including API design and development
- Strong experience with Azure Cloud services, including:
- Web/Container Apps
- Azure Functions
- Azure SQL Server
- Solid understanding of Agile development methodologies (Scrum/Kanban)
- Experience in CI/CD pipeline design and implementation
- Proficient in Infrastructure as Code (IaC) – preferably Terraform
- Strong knowledge of RESTful services and JSON-based APIs
- Experience with unit and integration testing techniques
- Source control using Git
- Strong understanding of HTML, CSS, and cross-browser compatibility
Good-to-Have Skills:
- Experience with Kubernetes and Docker
- Knowledge of JavaScript UI frameworks, ideally Vue.js
- Familiarity with JIRA and Agile project tracking tools
- Exposure to Database as a Service (DBaaS) and Platform as a Service (PaaS) concepts
- Experience mentoring or coaching junior developers
- Strong problem-solving and communication skills
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
- Design, develop, and maintain high-performance ETL and real-time data pipelines using Apache Kafka and Apache Flink.
- Build scalable and automated MLOps pipelines for training, validation, and deployment of models using AWS SageMaker and associated services.
- Implement and manage Infrastructure as Code (IaC) using Terraform to provision and manage AWS environments.
- Collaborate with data scientists, ML engineers, and DevOps teams to streamline model deployment workflows and ensure reliable production delivery.
- Optimize data storage and retrieval strategies for large-scale structured and unstructured datasets.
- Develop data transformation logic and integrate data from various internal and external sources into data lakes and warehouses.
- Monitor, troubleshoot, and enhance performance of data systems in a cloud-native, fast-evolving production setup.
- Ensure adherence to data governance, privacy, and security standards across all data handling activities.
- Document data engineering solutions and workflows to facilitate cross-functional understanding and ongoing maintenance.
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: Deployment Lead (Python, Linux, AWS)
Location: Coimbatore
Overview
We are seeking an experienced Deployment Lead to oversee the end-to-end deployment lifecycle of our applications and services. The ideal candidate will have deep expertise in Python, strong Linux administration skills, and hands-on experience with AWS cloud infrastructure. You will work closely with engineering, DevOps, QA, and product teams to ensure reliable, repeatable, and scalable deployments across multiple environments.
Key Responsibilities
- Lead and manage deployment activities for all application releases across development, staging, and production environments.
- Develop and maintain deployment automation, scripts, and tools using Python and shell scripting.
- Own and optimize CI/CD pipelines (e.g., GitHub Actions, Jenkins, GitLab CI, or AWS CodePipeline).
- Oversee Linux server administration, including configuration, troubleshooting, performance optimization, and security hardening.
- Design, implement, and maintain AWS infrastructure (EC2, S3, Lambda, IAM, RDS, ECS/EKS, CloudFormation/Terraform).
- Ensure robust monitoring, logging, and alerting using tools such as CloudWatch, Grafana, Prometheus, or ELK.
- Collaborate with developers to improve code readiness for deployment and production reliability.
- Manage environment configurations and ensure consistency and version control across environments.
- Lead incident response during production issues; conduct root-cause analysis and implement long-term fixes.
- Establish and enforce best practices for deployment, configuration management, and operational excellence.
Required Skills & Qualifications
- 5+ years of experience in deployment engineering, DevOps, or site reliability engineering roles.
- Strong proficiency in Python for automation and tooling.
- Advanced experience with Linux systems administration (Ubuntu, CentOS, Amazon Linux).
- Hands-on work with AWS cloud services and infrastructure-as-code (CloudFormation or Terraform).
- Experience with containerization technologies such as Docker and orchestration platforms like ECS, EKS, or Kubernetes.
- Strong understanding of CI/CD tools and automated deployment strategies.
- Familiarity with networking concepts: DNS, load balancers, VPCs, firewalls, VPN, and routing.
- Expertise with monitoring, alerting, and logging solutions.
- Strong problem-solving and analytical skills; able to lead troubleshooting efforts.
- Excellent communication and leadership abilities.
Role & responsibilities
- Senior Java developer with 6 to 10 years of experience having worked on Java, SpringBoot, Hibernate, Microservices, Redis, AWS S3
- Contribute to all stages of the software development lifecycle
- Design, implement, and maintain Java-based applications that can be high-volume and low-latency
- Analyze user requirements to define business objectives
- Envisioning system features and functionality
- Define application objectives and functionality
- Ensure application designs conform to business goals
- Develop and test software
- Should have good experience in Code Review
- Expecting to be 100% hands-on while working with the clients directly
- Performing requirement analysis
- Developing high-quality and detailed designs
- Conducting unit testing using automated unit test frameworks
- Identifying risk and conducting mitigation action planning
- Reviewing the work of other developers and providing feedback
- Using coding standards and best practices to ensure quality
- Communicating with customers to resolve issues
- Good Communication Skills
· Qualification: bachelor’s or master’s degree in computer science, Engineering, or any field.
· Proven experience of 6+ years in project management, preferably in software development projects involving Python.
· Strong proficiency in Python programming and familiarity with relevant frameworks.
· Excellent leadership, communication, and interpersonal skills.
· Ability to manage multiple projects simultaneously while maintaining quality and timeliness.
· Expertise in Django/Python/AWS and MySQL.
· Problem-solving aptitude and a proactive approach to challenges.
· Experience working in an Agile development environment is highly desirable.
· Strong organizational and time management skills.
· Possess a strong understanding of Python programming concepts, frameworks, and best practices.
· Assist team members with technical challenges, review code, and contribute to technical discussions.
· Develop comprehensive project plans, including scope, timelines, milestones, resources, and deliverables.
- HTML/CSS/ES6 Javascript, Java 8 and any Java based web framework
- Adobe experience Manager (AEM) Apache Sling, JCR, OSGI
- Good knowledge in Apache Sling framework
- Good knowledge in Java content repository API
- Good knowledge in Apache Jack rabbbit framework
- Knowledge of OSGI and Declarative Services
- Strong understanding of REST Principles and Hands on experience REST based API development
- Knowledge of Patterns and good practices to design and develop quality and clean code
- Experience in Pair programming and code reviews
- Experience with testing at all levels unit, integration, functional and performance
- Experience in Agile Project (Scrum or SAFe) execution is a must
- Familiarity with git, basic git branching strategies, working in a peer-reviewed environment,able to code to existing patterns/styles
- Familiarity with task management, bug tracking and wiki-based documentation tools like Jiraand confluence
- AEM BE developers must have modern ES6 javascript experience as well as java developer experience
- Must be comfortable working with AEM workflows, scheduled jobs, creating/modifying jcr
- nodes via java code, and accessing REST endpoints via java code
- Ability to create custom AEM CQ components and a good exposure to both core and
- foundation components that can be inherited in AEM
- Good understanding of AEM web development framework using Apache Sling
- Create multiple OSGI Bundles in the AEM stack based on the requirements of the Project
Back End Developer
Qualification : Engineering /Master degree in Computer Science/Electronics/Electrical/Information
Technology Experience : 3- 6 years Skill Sets :
-
The server part of client-server programming
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Strong database schema skills, querying, joins, triggers, stored procedures
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Programming languages and frameworks: Javascript and NodeJS languages: PHP, Node,
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Relational databases such as MySql, SQL Server, Postgres, NoSQL database MongoDB
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REST-compliant APIs
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Big Data processing
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Experience in Agile SCRUM method of development
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Familiar with GIT and Devops tools and technologies
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Spring Boot, JavaScript, MongoDB, Maria DB, Microservice , Devops, Rest API, Postman, AWS, Nginx, Redis, Docker
Requirements
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Overall 2-8 years of software development experience in building web-based and highly scalable applications
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Excellent understanding of core computer science concepts like algorithms, data structure, system design, OOP, etc.
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Deep knowledge and development expertise in Core Java and SpringBoot or other equivalent frameworks
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Strong experience in HTML5 and CSS3 and should have basic experience in JS technologies
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Good knowledge of database concepts, having SQL writing experience, and familiarity with at least one of the relational databases
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Worked in a CI/CD environment with Jenkins
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Experience working in an agile team with software engineering practices like automated testing, test-driven development, continuous integration, etc is a big plus.
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Ability to quickly learn and evaluate new technologies and work effectively in a fast-paced, dynamic environment
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Strong oral and written communication.





