Rust Developer

Job Title : Full Stack Engineer (Python + React.js/Next.js)

Experience : 1 to 6+ Years

Location : Bengaluru (Indiranagar)

Employment : Full-Time

Working Days : 5 Days WFO

Notice Period : Immediate to 30 Days

Role Overview :

We are seeking Full Stack Engineers to build scalable, high-performance fintech products.

You will work on both frontend (Typescript/Next.js) and backend (Python/FastAPI/Django), owning features end-to-end and contributing to architecture, performance, and product innovation.

Main Tech Stack :

Frontend : Typescript, Next.js, React

Backend : Python, FastAPI, Django

Database : PostgreSQL, MongoDB, Redis

Cloud : AWS/GCP, Docker, Kubernetes

Tools : Git, GitHub, CI/CD, Elasticsearch

Key Responsibilities :

• Develop full-stack applications with clean, scalable code.
• Build fast, responsive UIs using Typescript, Next.js, React.
• Develop backend APIs using Python, FastAPI, Django.
• Collaborate with product/design to implement solutions.
• Own development lifecycle: design → build → deploy → monitor.
• Ensure performance, reliability, and security.

Requirements :

Must-Have :

• 1–6+ years of full-stack experience.
• Product-based company background.
• Strong DSA + problem-solving skills.
• Proficiency in either frontend or backend with familiarity in both.
• Hands-on experience with APIs, microservices, Git, CI/CD, cloud.
• Strong communication & ownership mindset.

Good-to-Have :

• Experience with containers, system design, observability tools.

Interview Process :

1. Coding Round : DSA + problem solving
2. System Design : LLD + HLD, scalability, microservices
3. CTO Round : Technical deep dive + cultural fit

Job Title : Senior Consultant – Full Stack Developer with AI

Experience : 5+ Years

Open Positions : 1

Location : Remote

Working Hours : 11:00 AM to 08:00 PM IST

Engagement : 6 to 8 Months Contract-to-Hire (C2H), with potential conversion to client payroll

Expected Joining : By the last week of August / 1st week of September

Role Overview :

Thoughtworks is looking for a Senior Consultant – Full Stack Developer with AI experience who can design and develop scalable full-stack applications while leveraging modern AI development tools and agentic AI capabilities.

The ideal candidate should have strong hands-on experience with Python, JavaScript / React.js, AWS Bedrock Agent Core, Docker, Kubernetes, and modern AI-assisted development frameworks and tools. Experience building MCP servers / tools, AI skills, or integrations using tools such as Cursor, Claude Code, Codex, or GitHub Copilot will be highly valuable.

The candidate should be comfortable working across application development, AI integration, cloud technologies, and containerized environments.

Mandatory Skills :

Python, React.js / JavaScript, AWS Bedrock Agent Core, Docker, Kubernetes, MCP / AI Skills, Cursor / Claude Code / Codex / GitHub Copilot, Full-Stack Development.

Key Responsibilities :

• Design, develop, and maintain scalable full-stack applications using modern development practices.
• Build backend services and APIs using Python and related frameworks.
• Develop responsive and scalable frontend applications using ReactJS or other JavaScript frameworks.
• Design and implement AI-powered solutions using AWS Bedrock Agent Core.
• Build and integrate AI agents, tools, skills, and workflows into enterprise applications.
• Develop and work with MCP (Model Context Protocol) servers, tools, or integrations.
• Leverage AI-assisted development platforms and coding tools such as Cursor, Claude Code, Codex, or GitHub Copilot.
• Containerize applications and services using Docker.
• Deploy, manage, and troubleshoot containerized workloads using Kubernetes.
• Collaborate with cross-functional teams to understand business requirements and translate them into scalable technical solutions.
• Follow engineering best practices around code quality, testing, security, performance, and maintainability.
• Contribute to CI/CD and cloud deployment processes; DevOps experience will be an added advantage.
• Participate in technical discussions, architecture decisions, code reviews, and project delivery.

Mandatory Skills :

• 5+ years of relevant software development experience.
• Strong hands-on experience with Python.
• Strong experience with ReactJS or another modern JavaScript framework.
• Hands-on experience with AWS Bedrock Agent Core.
• Strong experience with Docker.
• Hands-on experience with Kubernetes.
• Experience building MCP servers / tools, AI skills, or similar AI integrations.
• Experience using AI-assisted coding/development tools such as :
• Cursor
• Claude Code
• Codex
• GitHub Copilot
• Strong understanding of full-stack application development.
• Good understanding of API development, application architecture, and cloud-based solutions.

Nice to Have :

• Experience with DevOps practices and CI/CD pipelines.
• Experience with AWS cloud services beyond Bedrock.
• Experience with infrastructure automation and deployment.
• Experience building production-grade GenAI / Agentic AI applications.
• Experience with LLM integrations, AI agents, tools, and function calling.

Project Expectations :

Candidates should be able to explain at least one recent project in detail, including :

• Problem Statement : What business / technical problem were you solving ?
• Architecture & Approach : How did you design the solution ?
• Key Contributions : What did you personally build or own ?
• AI / Agent Implementation : How did you use AWS Bedrock Agent Core, MCP, or AI development tools ?
• Technology Stack : Python, React.js / JavaScript, AWS, Docker, Kubernetes, etc.
• Challenges : What were the major technical challenges ?
• Outcomes & Metrics : What measurable impact did the solution deliver, such as performance improvement, cost reduction, automation, productivity improvement, or reduced development time ?

Interview Process :

1. Round 1 – GT Technical Interview : 60 minutes
2. Round 2 – Client Technical Interview : 60 minutes
3. Round 3 – Project Round : 60 minutes
4. Additional Client Round : May be conducted on a case-by-case basis

Key Hiring Priorities :

Highest priority : Candidates with genuine hands-on experience in AWS Bedrock Agent Core + Python + React / JavaScript + Docker + Kubernetes + MCP / AI skills and practical experience using modern AI coding/agent development tools.

Note : Candidates should demonstrate hands-on implementation experience rather than only theoretical knowledge or exposure to the above technologies.

Click "Apply Now" in https://gosuperedtech.com/career/ai-system-engineer to apply

Role Overview

We are looking for a Junior AI System Engineer who is eager to build a career in AI systems, automation, backend workflows, cloud infrastructure, and intelligent product operations.

This role offers an opportunity to work closely with experienced engineers, product teams, and AI specialists on real AI-powered systems that support learners, educators, schools, and internal business operations.

At GoSuper EdTech, our cloud infrastructure is built on Google Cloud Platform — GCP. You will get hands-on exposure to GCP-based systems, backend services, AI integrations, deployment workflows, monitoring, cloud storage, databases, and automation pipelines.

You will help design, integrate, test, monitor, and maintain AI-enabled systems using modern tools such as AI APIs, LLMs, automation workflows, backend services, databases, GCP services, cloud deployment tools, and monitoring systems.

This role is ideal if you are curious about AI, comfortable with technical problem-solving, and interested in building reliable systems that connect software, data, cloud infrastructure, automation, and intelligent workflows.

What You’ll Do

• Support the development and maintenance of AI-powered systems, tools, and workflows.
• Assist in integrating AI APIs, LLM platforms, automation tools, and backend services into GoSuper products.
• Work with OpenAI, Gemini, Claude, or similar AI platforms under the guidance of senior engineers.
• Support AI and backend workflows deployed on Google Cloud Platform — GCP.
• Assist with GCP-based services such as Cloud Run, Compute Engine, Cloud Functions, Cloud Storage, Firebase, Firestore, Cloud SQL, BigQuery, Pub/Sub, Cloud Logging, and Cloud Monitoring, based on project needs.
• Help build AI workflows for content generation, chatbot systems, smart recommendations, internal automation, and productivity tools.
• Support backend integrations using Node.js, Python, REST APIs, webhooks, and third-party services.
• Assist in designing and maintaining system workflows that connect databases, applications, AI models, cloud services, and business tools.
• Work with databases such as PostgreSQL, MongoDB, Firebase, Firestore, Supabase, or similar platforms.
• Help test AI outputs, validate workflows, debug issues, and improve system reliability.
• Monitor system performance, API usage, errors, logs, workflow failures, and cloud service health.
• Support deployment, configuration, and maintenance of AI-enabled product features on GCP.
• Collaborate with product managers, developers, designers, QA teams, and business teams to understand requirements and deliver working solutions.
• Participate in daily standups, sprint planning, technical discussions, and team meetings.
• Document AI workflows, system logic, API integrations, prompts, GCP configurations, deployment steps, and troubleshooting processes.
• Continuously learn and apply best practices in AI systems, backend engineering, automation, GCP cloud infrastructure, and production support.

What We’re Looking For

• 6 months to 1 year of experience in AI systems, backend development, software engineering, automation, DevOps support, cloud support, system integration, or relevant internship/project experience.
• Basic understanding of AI tools, LLMs, APIs, automation workflows, and software systems.
• Working knowledge of JavaScript, TypeScript, or Python.
• Basic backend development experience with Node.js, Express, NestJS, FastAPI, or similar frameworks.
• Basic understanding of Google Cloud Platform — GCP or willingness to learn GCP-based deployment and monitoring workflows.
• Understanding of REST APIs, webhooks, third-party integrations, and data flow between systems.
• Interest in AI APIs, prompt workflows, chatbot systems, automation tools, and intelligent product features.
• Basic understanding of databases such as PostgreSQL, MongoDB, Firebase, Firestore, Supabase, or Redis.
• Ability to debug technical issues across APIs, workflows, logs, backend services, and cloud deployments.
• Good analytical thinking and problem-solving ability.
• Ability to write clear documentation for workflows, integrations, cloud configurations, and technical processes.
• Eagerness to learn new tools, AI platforms, system design concepts, GCP services, and cloud technologies.
• Good communication skills to work with technical and non-technical teams.
• Ownership mindset and willingness to take responsibility for assigned tasks.
• Comfortable working in a fast-paced startup environment.

Nice to Have

• Familiarity with AI APIs such as OpenAI, Gemini, Claude, or similar platforms.
• Basic understanding of prompt engineering and LLM-based workflows.
• Exposure to LangChain, LlamaIndex, embeddings, vector databases, or retrieval-augmented generation.
• Basic experience with GCP services such as Cloud Run, Cloud Functions, Firebase, Firestore, Cloud Storage, Cloud SQL, BigQuery, Pub/Sub, Cloud Logging, or Cloud Monitoring.
• Exposure to Google AI tools, Vertex AI, Gemini API, or AI-related services on GCP.
• Experience with automation tools, workflow builders, webhooks, or integration platforms.
• Exposure to Docker, CI/CD pipelines, GitHub Actions, deployment workflows, or cloud-based release processes.
• Experience working with logs, monitoring tools, API testing tools, or debugging platforms.
• Familiarity with Postman, Git, GitHub, Notion, Zoho, Slack, or similar productivity tools.
• Experience building chatbots, AI assistants, internal tools, or automated workflows.
• Personal, academic, internship, or open-source projects related to AI, automation, backend systems, GCP, or cloud tools.
• Interest in SaaS, EdTech, AI-powered products, and startup environments.

What You’ll Gain

• Hands-on experience building AI-powered systems in a real startup environment.
• Practical exposure to AI APIs, LLM workflows, automation systems, backend services, and GCP cloud infrastructure.
• Mentorship from senior engineers and product leaders.
• Experience working across AI, backend engineering, databases, APIs, integrations, deployment, system monitoring, and cloud operations.
• Opportunity to contribute to real product features used by learners, educators, schools, and institutions.
• Exposure to SaaS product development, EdTech workflows, AI-driven business solutions, and GCP-based production systems.
• Learning culture that encourages experimentation, feedback, and continuous improvement.
• Opportunity to understand how AI systems are designed, deployed, monitored, scaled, and improved in production.
• Access to Cult Elite and Cult Play Pass, offering wellness and lifestyle benefits to keep you energized and inspired.

Compensation

• Competitive salary with performance-based bonuses.
• Equity ownership through ESOPs — own a piece of the company you help build.
• Flexible remote work options with occasional Bengaluru office meetups.
• Health and wellness perks, including Cult Elite membership and Cult Play Pass for employees.
• Learning and development support to help you grow in AI systems, backend engineering, automation, SaaS, and GCP cloud technologies.
• Team retreats, virtual hangouts, and a collaborative work culture.

We are looking for a AI System Engineer who is eager to build a career in AI systems, automation, backend workflows, cloud infrastructure, and intelligent product operations. Apply in https://gosuperedtech.com/career/ai-system-engineer

About IntraIntel.ai

At IntraIntel.ai, we are building a next-generation, multi-tenant AI platform that enables organizations across industries—healthcare, clinical research, manufacturing, and textiles—to harness the power of intelligent automation and Generative AI. Our platform seamlessly integrates AI agents, RAG pipelines, and LLM-based workflows into a unified, scalable, and secure ecosystem hosted on Google Cloud Platform (GCP).

We are looking for a Full Stack Developer with deep experience in AI-integrated applications, cloud-native architecture, and end-to-end platform development—someone passionate about building intelligent systems that push the boundaries of innovation.

Key Responsibilities

1. Full Stack Development

• Design, build, and maintain full-stack applications with Node.js, Express.js, and modern frontend frameworks such as React.js / Angular.
• 
  
• Implement RESTful APIs, GraphQL endpoints, and real-time communication features supporting multi-tenant AI workloads.
• 
  
• Optimize backend logic for scalability, modularity, and high availability on GCP.
• 
  
• Integrate AI-driven features (RAG, chatbots, data pipelines) into user-facing experiences.

2. AI Integration & Agentic Architecture

• Work alongside AI engineers and architects to integrate LLMs, RAG pipelines, and AI agents (using frameworks like LangChain, CrewAI, or LlamaIndex) into the product stack.
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• Develop APIs and connectors for prompt orchestration, vector storage (FAISS, Chroma, Pinecone), and model inference workflows.
• 
  
• Implement context-aware AI features with secure data access boundaries and performance optimization.

3. Cloud Infrastructure & CI/CD

• Deploy, manage, and optimize applications on Google Cloud Platform (GCP) using services such as Cloud Run, GKE, BigQuery, Cloud Storage, IAM, and Pub/Sub.
• 
  
• Set up and maintain CI/CD pipelines using GitHub Actions, Cloud Build, or Terraform for automated testing, integration, and deployment.
• 
  
• Manage infrastructure as code (IaC), automate containerized builds, and optimize deployment strategies for multi-environment scalability.
• 
  

4. UI/UX Collaboration

• Collaborate with product and design teams to transform mockups into seamless user experiences using Figma and front-end frameworks.
• 
  
• Contribute to UX optimization, ensuring that AI-driven features are intuitive, responsive, and visually engaging.
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• Work with designers to ensure front-end consistency across multi-tenant environments.
• 
  

5. Performance, Security & Monitoring

• Ensure data privacy, scalability, and compliance through role-based access control (RBAC), encryption, and secure API practices.
• 
  
• Monitor system performance using Cloud Monitoring / OpenTelemetry, ensuring uptime and reliability.
• 
  
• Participate in architectural discussions to enhance system observability and security posture.
• 
  

Required Skills & Qualifications

Technical Proficiency

• Backend: Node.js, Express.js, Python (for AI integration), REST/GraphQL APIs
• 
  
• Frontend: React.js / Angular / Vue.js, HTML5, CSS3, TypeScript, Next.js
• 
  
• Database: PostgreSQL, MongoDB, Firestore, Redis
• 
  
• Cloud: Google Cloud Platform (GCP) – Cloud Run, IAM, GKE, BigQuery, Cloud Storage
• 
  
• AI Integration: LLM APIs (OpenAI, Gemini, Claude), LangChain, RAG, vector databases (FAISS, Pinecone, Chroma)
• 
  
• DevOps: Docker, Kubernetes, Terraform, Cloud Build, GitHub Actions
• 
  
• Version Control: Git, Bitbucket
• 
  
• UI/UX Collaboration: Figma, Material UI, responsive design principles
• 
  

Experience & Attributes

• 5+ years of experience in full-stack development, preferably on AI or SaaS platforms.
• 
  
• Strong understanding of multi-tenant architectures and modular design principles.
• 
  
• Proven experience in CI/CD pipeline automation and infrastructure management.
• 
  
• Experience in integrating AI services, chatbots, or intelligent recommendation systems.
• 
  
• Strong problem-solving skills and ability to collaborate in a fast-paced, cross-functional environment.
• 
  
• Excellent communication skills and documentation habits.
• 
  

Preferred Qualifications

• Prior experience working with AI-driven SaaS or agentic AI platforms.
• 
  
• Familiarity with PromptOps / MLOps practices and versioning workflows for LLMs.
• 
  
• Experience in data governance and security compliance (HIPAA, GDPR, or SOC2).
• 
  
• Cloud certifications (GCP Professional Cloud Developer / Architect) are a plus.
• 
  

Why Join IntraIntel.ai

• Work on cutting-edge AI agentic architectures with real-world enterprise impact.
• 
  
• Join a fast-growing, innovation-driven team shaping the future of AI platforms.
• 
  
• Build products at scale across diverse industries with a unified mission.
• 
  
• Collaborative and flexible environment encouraging ownership and creativity.
• 
  

Senior Software Engineer

Location: Hyderabad, India

Who We Are:

Since our inception back in 2006, Navitas has grown to be an industry leader in the digital transformation space, and we’ve served as trusted advisors supporting our client base within the commercial, federal, and state and local markets.

What We Do:

At our very core, we’re a group of problem solvers providing our award-winning technology solutions to drive digital acceleration for our customers! With proven solutions, award-winning technologies, and a team of expert problem solvers, Navitas has consistently empowered customers to use technology as a competitive advantage and deliver cutting-edge transformative solutions.

What You’ll Do:

Build, Innovate, and Own:

• Design, develop, and maintain high-performance microservices in a modern .NET/C# environment.
• Architect and optimize data pipelines and storage solutions that power our AI-driven products.
• Collaborate closely with AI and data teams to bring machine learning models into production systems.
• Build integrations with external services and APIs to enable scalable, interoperable solutions.
• Ensure robust security, scalability, and observability across distributed systems.
• Stay ahead of the curve — evaluating emerging technologies and contributing to architectural decisions for our next-gen platform.

Responsibilities will include but are not limited to:

• Provide technical guidance and code reviews that raise the bar for quality and performance.
• Help create a growth-minded engineering culture that encourages experimentation, learning, and accountability.

What You’ll Need:

• Bachelor’s degree in Computer Science or equivalent practical experience.
• 8+ years of professional experience, including 5+ years designing and maintaining scalable backend systems using C#/.NET and microservices architecture.
• Strong experience with SQL and NoSQL data stores.
• Solid hands-on knowledge of cloud platforms (AWS, GCP, or Azure).
• Proven ability to design for performance, reliability, and security in data-intensive systems.
• Excellent communication skills and ability to work effectively in a global, cross-functional environment.

Set Yourself Apart With:

• Startup experience - specifically in building product from 0-1
• Exposure to AI/ML-powered systems, data engineering, or large-scale data processing.
• Experience in healthcare or fintech domains.
• Familiarity with modern DevOps practices, CI/CD pipelines, and containerization (Docker/Kubernetes).

Equal Employer/Veterans/Disabled

Navitas Business Consulting is an affirmative action and equal opportunity employer. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Navitas Human Resources.

Navitas is an equal opportunity employer. We provide employment and opportunities for advancement, compensation, training, and growth according to individual merit, without regard to race, color, religion, sex (including pregnancy), national origin, sexual orientation, gender identity or expression, marital status, age, genetic information, disability, veteran-status veteran or military status, or any other characteristic protected under applicable Federal, state, or local law. Our goal is for each staff member to have the opportunity to grow to the limits of their abilities and to achieve personal and organizational objectives. We will support positive programs for equal treatment of all staff and full utilization of all qualified employees at all levels within Navita

Full Stack Developer Internship – (Remote)

Pay: ₹20,000 - ₹30,000/month | Duration: 3 months

We’re building Pitchline - a voice based conversational sales AI agent, an ambitious AI-powered web app aimed at solving meaningful problems in the B2B space. It’s currently in MVP stage and has strong early demand. I’m looking for a hands-on an Full Stack Developer Intern who can work closely with me to bring this to life.

You’ll be one of the first people to touch the codebase — shaping the foundation and solving problems across AI integration, backend APIs, and a bit of frontend work.

What you'll be doing

• Build and maintain backend APIs (Python)
• Integrate AI models (OpenAI, LangChain, Pinecone/Weaviate etc.) for core workflows
• Design DB schemas and manage basic infra (Postgres)
• Support frontend development (basic UI integration in React or similar)
• Rapidly iterate on product ideas and ship working features
• Collaborate closely with me (Founder) to shape the MVP

What we're looking for

• Curiosity to learn new things. You don’t wait for someone to unblock you and take full ownership and get things done by yourself.
• Strong foundation in backend development
• Experience working with APIs, databases, and deploying backend services
• Curious about or experienced in AI/LLM tools like OpenAI APIs, LangChain, vector databases, etc.
• Comfortable working with version control and basic dev workflows
• Worked on real projects or shipped anything end-to-end (Even if it is a personal project)

Why join us?

You’ll be a core member of the team. What we’re building is one of a kind and being a part of the successful founding team will fast track your personal and professional growth.

You’ll work on a real product with potential, witnessing in real time the impact your hard work brings.

You’ll get ownership and be part of early decisions.

You'll learn how design, tech, and business come together in early-stage product building

Flexible working hours

Opportunity to convert to full-time upon successful conversion.

We’re a fast paced team, working hard to deploy the MVP as soon as possible. If you're excited about AI, startup building, and getting your hands dirty with real development then our company is a great place to grow.

JioTesseract, a digital arm of Reliance Industries, is India's leading and largest AR/VR organization with the mission to democratize mixed reality for India and the world. We make products at the cross of hardware, software, content and services with focus on making India the leader in spatial computing. We specialize in creating solutions in AR, VR and AI, with some of our notable products such as JioGlass, JioDive, 360 Streaming, Metaverse, AR/VR headsets for consumers and enterprise space.

Mon-fri role, In office, with excellent perks and benefits!

Position Overview

We are seeking a Software Architect to lead the design and development of high-performance robotics and AI software stacks utilizing NVIDIA technologies. This role will focus on defining scalable, modular, and efficient architectures for robot perception, planning, simulation, and embedded AI applications. You will collaborate with cross-functional teams to build next-generation autonomous systems 9

Key Responsibilities:

1. System Architecture & Design

● Define scalable software architectures for robotics perception, navigation, and AI-driven decision-making.

● Design modular and reusable frameworks that leverage NVIDIA’s Jetson, Isaac ROS, Omniverse, and CUDA ecosystems.

● Establish best practices for real-time computing, GPU acceleration, and edge AI inference.

2. Perception & AI Integration

● Architect sensor fusion pipelines using LIDAR, cameras, IMUs, and radar with DeepStream, TensorRT, and ROS2.

● Optimize computer vision, SLAM, and deep learning models for edge deployment on Jetson Orin and Xavier.

● Ensure efficient GPU-accelerated AI inference for real-time robotics applications.

3. Embedded & Real-Time Systems

● Design high-performance embedded software stacks for real-time robotic control and autonomy.

● Utilize NVIDIA CUDA, cuDNN, and TensorRT to accelerate AI model execution on Jetson platforms.

● Develop robust middleware frameworks to support real-time robotics applications in ROS2 and Isaac SDK.

4. Robotics Simulation & Digital Twins

● Define architectures for robotic simulation environments using NVIDIA Isaac Sim & Omniverse.

● Leverage synthetic data generation (Omniverse Replicator) for training AI models.

● Optimize sim-to-real transfer learning for AI-driven robotic behaviors.

5. Navigation & Motion Planning

● Architect GPU-accelerated motion planning and SLAM pipelines for autonomous robots.

● Optimize path planning, localization, and multi-agent coordination using Isaac ROS Navigation.

● Implement reinforcement learning-based policies using Isaac Gym.

6. Performance Optimization & Scalability

● Ensure low-latency AI inference and real-time execution of robotics applications.

● Optimize CUDA kernels and parallel processing pipelines for NVIDIA hardware.

● Develop benchmarking and profiling tools to measure software performance on edge AI devices.

Required Qualifications:

● Master’s or Ph.D. in Computer Science, Robotics, AI, or Embedded Systems.

● Extensive experience (7+ years) in software development, with at least 3-5 years focused on architecture and system design, especially for robotics or embedded systems.

● Expertise in CUDA, TensorRT, DeepStream, PyTorch, TensorFlow, and ROS2.

● Experience in NVIDIA Jetson platforms, Isaac SDK, and GPU-accelerated AI.

● Proficiency in programming languages such as C++, Python, or similar, with deep understanding of low-level and high-level design principles.

● Strong background in robotic perception, planning, and real-time control.

● Experience with cloud-edge AI deployment and scalable architectures.

Preferred Qualifications

● Hands-on experience with NVIDIA DRIVE, NVIDIA Omniverse, and Isaac Gym

● Knowledge of robot kinematics, control systems, and reinforcement learning

● Expertise in distributed computing, containerization (Docker), and cloud robotics

● Familiarity with automotive, industrial automation, or warehouse robotics

● Experience designing architectures for autonomous systems or multi-robot systems.

● Familiarity with cloud-based solutions, edge computing, or distributed computing for robotics

● Experience with microservices or service-oriented architecture (SOA)

● Knowledge of machine learning and AI integration within robotic systems

● Knowledge of testing on edge devices with HIL and simulations (Isaac Sim, Gazebo, V-REP etc.)

Gohoardings is a leading advertising technology company specializing in outdoor advertising solutions. We connect brands with their target audiences through innovative digital platforms and creative campaigns.

We are currently seeking a highly skilled and experienced Java Full Stack Developer to join our dynamic team. As a Java Full Stack Developer, you will play a crucial role in designing, developing, and maintaining our industry-leading advertising technology solutions.

Responsibilities:

Collaborate with cross-functional teams, including product managers, designers, and other developers, to understand project requirements and translate them into scalable and high-performance software solutions.

Design and develop robust, user-friendly, and scalable web applications using Java and modern web technologies such as HTML5, CSS3, and JavaScript frameworks (e.g., Angular, React, or Vue.js).

Develop and integrate RESTful APIs and microservices to support seamless data exchange between front-end and back-end systems.

Implement and maintain server-side applications using Java frameworks (e.g., Spring, Spring Boot) to handle business logic, data processing, and integration with external systems.

Create and optimize database schemas, write efficient SQL queries, and ensure data integrity in collaboration with database administrators.

Ensure code quality through unit testing, automated testing, and continuous integration/continuous deployment (CI/CD) pipelines.

Troubleshoot and debug complex technical issues, perform root cause analysis, and implement solutions to improve application performance and reliability.

Stay up-to-date with emerging technologies and industry trends, and provide recommendations on incorporating new tools and techniques to enhance the development process and deliver high-quality software.

Collaborate with the product team to refine and prioritize feature requirements, and deliver software solutions within project timelines.

Mentor and provide technical guidance to junior developers, fostering their professional growth and development.

Qualifications:

Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience).

Minimum of 5 years of professional experience as a Java Full Stack Developer.

Strong proficiency in Java programming language and related frameworks (e.g., Spring, Spring Boot).

Extensive experience in developing front-end applications using modern web technologies such as HTML5, CSS3, and JavaScript frameworks (e.g., Angular, React, or Vue.js).

Solid understanding of web application architecture and design patterns, including RESTful APIs, microservices, and single-page applications.

Experience with database technologies such as MySQL, Oracle, or MongoDB, including data modeling and query optimization.

Proficiency in version control systems (e.g., Git) and experience with build tools (e.g., Maven, Gradle).

Familiarity with agile development methodologies and experience working in agile teams.

Strong problem-solving and analytical skills, with the ability to quickly grasp complex requirements and deliver effective solutions.

Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders.

Preferred Qualifications:

Master's degree in Computer Science, Software Engineering, or a related field.

Experience with cloud platforms and services (e.g., AWS, Azure, or Google Cloud Platform).

Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes).

Familiarity with DevOps practices and tools for continuous integration and deployment (CI/CD).

Experience with testing frameworks and practices, such as JUnit, Mockito, or Selenium.

Understanding of advertising technology and industry-specific challenges.

Previous experience in developing scalable and high-traffic web applications.

Join our team at Gohoardings

 Responsibilities: 

• Participate in the entire application lifecycle, focusing on coding and debugging 
• Ability to design and document the product features, codes. 
• Self-driven and ability to take up ownership of things 
• Write clean code to develop functional applications, automation scripts, test cases 
• Troubleshoot and debug applications 
• Collaborate with developers, cross-functional teams to identify issue, new features and come up with solutions 
• Gather and address technical and design requirements 
• Provide training and support to internal teams 
• Build reusable code and libraries for future use 
• Ability to sync with other developers, designers to identify issues, new features and improvements 

Roles and Responsibilities:

·         Design and implement scalable web applications and platforms using technologies such as Typescript, NestJS, Angular, NodeJS, ExpressJS, TypeORM, and Postgres

·         Good understanding of web and REST API design patterns

·         Experience with AWS technologies such as EKS, ECS, ECR, Fargate, EC2, Lambda, ALB will be an added advantage

·         Hands-on experience with unit test frameworks like Jest

·         Good working knowledge of JIRA, Confluence, Git

·         Basic knowledge of Kubernetes and Terraform for infrastructure as code

·         Basic knowledge of Docker compose and Docker

·         Strong understanding of microservices architecture and ability to implement components independently

·         Proven track record of problem-solving skills

·         Excellent communication skills