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About the Role

We are looking for a highly motivated Demand Forecasting Analyst with hands-on experience in building, improving, and managing demand forecasting models for retail businesses. The candidate will play a key role in leveraging data-driven forecasting techniques to optimize inventory, improve supply chain efficiency, and enhance business decision-making. 

The role requires strong business understanding of retail operations, combined with technical expertise in AWS cloud services, forecasting techniques, and stakeholder communications.

Key Responsibilities

• Develop, implement, and maintain demand forecasting models tailored to retail business needs.
• Analyze historical sales data, seasonal patterns, promotions, and external market factors to improve forecast accuracy.
• Collaborate with cross-functional teams (merchandising, supply chain, finance) to understand business requirements and translate them into forecasting solutions.
• Leverage AWS services (Amazon Forecast, S3, Lambda, Glue, Redshift, QuickSight, SageMaker, etc.) for data preparation, modelling, deployment, and reporting.
• Continuously monitor forecast performance and refine models to reduce forecast error (MAPE, WAPE, etc.).
• Provide actionable insights and recommendations to stakeholders for inventory management, pricing, and demand planning.
• Create dashboards and reports to track key forecasting KPIs for business teams.

Required Qualifications

• 1–2 years of experience in demand forecasting within retail (FMCG, e-commerce, fashion, or grocery retail preferred).
• Strong understanding of retail demand drivers such as seasonality, promotions, new product launches, and external factors.
• Hands-on experience with AWS services such as:
• Amazon Forecast for building forecasting models.
• Amazon S3, Glue, Redshift for data storage and ETL.
• Amazon SageMaker for model customization and fine-tuning.
• Amazon QuickSight for reporting and dashboards.
• Proficiency in Python for data analysis and modelling.
• Familiarity with forecasting methods (ARIMA, DeepAR, Prophet, ML-based forecasting, regression, etc.).
• Strong analytical skills with the ability to interpret data and provide business insights.
• Excellent communication and presentation skills to interact with both technical and non-technical stakeholders.

Good to Have

• Experience with time-series modelling in retail.
• Knowledge of inventory optimization and supply chain planning.

Why Join Us?

• Opportunity to work on cutting-edge demand forecasting projects in the retail domain.
• Leverage AWS cloud-native solutions for scalable, real-world impact.
• Collaborate with business and technology leaders to shape retail strategy.
• Fast-paced, growth-oriented environment with career development opportunities.

Role: DevOps Engineer

Exp: 4 - 7 Years

CTC: up to 28 LPA

Key Responsibilities

•   Design, build, and manage scalable infrastructure on cloud platforms (GCP, AWS, Azure, or OCI)

•   Administer and optimize Kubernetes clusters and container runtimes (Docker, containerd)

•   Develop and maintain CI/CD pipelines for multiple services and environments

•   Manage infrastructure as code using tools like Terraform and/or Pulumi

•   Automate operations with Python and shell scripting for deployment, monitoring, and maintenance

•   Ensure high availability and performance of production systems and troubleshoot incidents effectively

•   Monitor system metrics and implement observability best practices using tools like Prometheus, Grafana, ELK, etc.

•   Collaborate with development, security, and product teams to align infrastructure with business needs

•   Apply best practices in cloud networking, Linux administration, and configuration management

•   Support compliance and security audits; assist with implementation of cloud security measures (e.g., firewalls, IDS/IPS, IAM hardening)

•   Participate in on-call rotations and incident response activities

We are seeking a skilled and detail-oriented SRE Release Engineer to lead and streamline the CI/CD pipeline for our C and Python codebase. You will be responsible for coordinating, automating, and validating biweekly production releases, ensuring operational stability, high deployment velocity, and system reliability.

Requirements

● Bachelor’s degree in Computer Science, Engineering, or related field.

● 3+ years in SRE, DevOps, or release engineering roles.

● Proficiency in CI/CD tooling (e.g., GitHub Actions, Jenkins, GitLab).

● Experience automating deployments for C and Python applications.

● Strong understanding of Git version control, merge/rebase strategies, tagging, and submodules (if used).

● Familiarity with containerization (Docker) and deployment orchestration (e.g.,

Kubernetes, Ansible, or Terraform).

● Solid scripting experience (Python, Bash, or similar).

● Understanding of observability, monitoring, and incident response tooling (e.g.,Prometheus, Grafana, ELK, Sentry).

Preferred Skills

● Experience with release coordination in data networking environments

● Familiarity with build tools like Make, CMake, or Bazel.

● Exposure to artifact management systems (e.g., Artifactory, Nexus).

● Experience deploying to Linux production systems with service uptime guarantees.

Responsibilities

● Own the release process: Plan, coordinate, and execute biweekly software releases across multiple services.

● Automate release pipelines: Build and maintain CI/CD workflows using tools such as GitHub Actions, Jenkins, or GitLab CI.

● Version control: Manage and enforce Git best practices, branching strategies (e.g., Git Flow), tagging, and release versioning.

● Integrate testing frameworks: Ensure automated test coverage (unit, integration,regression) is enforced pre-release.

● Release validation: Develop pre-release verification tools/scripts to validate build integrity and backward compatibility.

● Deployment strategy: Implement and refine blue/green, rolling, or canary deployments in staging and production environments.

● Incident readiness: Partner with SREs to ensure rollback strategies, monitoring, and alerting are release-aware.

● Collaboration: Work closely with developers, QA, and product teams to align on release timelines and feature readiness.

Success Metrics

● Achieve >95% release success rate with minimal hotfix rollbacks.

● Reduce mean release deployment time by 30% within 6 months.

● Maintain a weekly release readiness report with zero critical blockers.

● Enable full traceability of builds from commit to deployment.

Benefits

Enjoy a great environment, great people, and a great package

• Stock Appreciation Rights - Generous pre series-B stock options
• Generous Gratuity Plan - Long service compensation far exceeding Indian statutory requirements 
• Health Insurance - Premium health insurance for employee, spouse and children 
• Working Hours - Flexible working hours with sole focus on enabling a great work environment 
• Work Environment - Work with top industry experts in an environment that fosters co-operation, learning and developing skills 
• Make a Difference - We're here because we want to make an impact on the world - we hope you do too!

Why Join RtBrick

Enjoy the excitement of a start-up without the risk!

We're revolutionizing the Internet's backbone by using cutting-edge software development techniques. The internet and, more specifically, broadband networks are among the most world's most critical technologies, that billions of people rely on every day. Rtbrick is revolutionizing the way these networks are constructed, moving away from traditional monolithic routing systems to a more agile, disaggregated infrastructure and distributed edge network functions. This shift mirrors transformations seen in computing and cloud technologies, marking the most profound change in networking since the inception of IP technology. 

We're pioneering a cloud-native approach, harnessing the power of container-based software, microservices, a devops philosophy, and warehouse scale tools to drive innovation. 

And although RtBrick is a young innovative company, RtBrick stands on solid financial ground: we are already cash-flow positive, backed by major telco investors like Swisscom Ventures and T-Capital, and our solutions are actively deployed by Tier-1 telcos including Deutsche Telekom (Europe's largest carrier), Regional ISPs and City ISPs—with expanding operations across Europe, North America and Asia. 

Joining RtBrick offers you the unique thrill of a startup environment, coupled with the security that comes from working in a business with substantial market presence and significant revenue streams. 

We'd love you to come and join us so why don't you embrace the opportunity to be part of a team that's not just participating in the market but actively shaping the future of telecommunications worldwide.

Role Description:

As a Senior Data Science and Modeling Specialist at Incedo, you will be responsible for developing and deploying predictive models and machine learning algorithms to support business decision-making. You will work with data scientists, data engineers, and business analysts to understand business requirements and develop data-driven solutions. You will be skilled in programming languages such as Python or R and have experience in data science tools such as TensorFlow or Keras. You will be responsible for ensuring that models are accurate, efficient, and scalable.

Roles & Responsibilities:

• Developing and implementing machine learning models and algorithms to solve complex business problems
• Conducting data analysis and modeling using statistical and data analysis tools
• Collaborating with other teams to ensure the consistency and integrity of data
• Providing guidance and mentorship to junior data science and modeling specialists
• Presenting findings and recommendations to stakeholders

Technical Skills

Skills Requirements:

• Proficiency in statistical analysis techniques such as regression analysis, hypothesis testing, or time-series analysis.
• Knowledge of machine learning algorithms and techniques such as supervised learning, unsupervised learning, or reinforcement learning.
• Experience with data wrangling and data cleaning techniques using tools such as Python, R, or SQL.
• Understanding of big data technologies such as Hadoop, Spark, or Hive.
• Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner.
• Must understand the company's long-term vision and align with it.
• Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team.

Qualifications

• 4-6 years of work experience in relevant field
• B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Responsibilities :

• Design and develop user-friendly web interfaces using HTML, CSS, and JavaScript.
• Utilize modern frontend frameworks and libraries such as React, Angular, or Vue.js to build dynamic and responsive web applications.
• Develop and maintain server-side logic using programming languages such as Java, Python, Ruby, Node.js, or PHP.
• Build and manage APIs for seamless communication between the frontend and backend systems.
• Integrate third-party services and APIs to enhance application functionality.
• Implement CI/CD pipelines to automate testing, integration, and deployment processes.
• Monitor and optimize the performance of web applications to ensure a high-quality user experience.
• Stay up-to-date with emerging technologies and industry trends to continuously improve development processes and application performance.

Qualifications :

• Bachelors/master's in computer science or related subjects or hands-on experience demonstrating working understanding of software applications.
• Knowledge of building applications that can be deployed in a cloud environment or are cloud native applications.
• Strong expertise in building backend applications using Java/C#/Python with demonstrable experience in using frameworks such as Spring/Vertx/.Net/FastAPI.
• Deep understanding of enterprise design patterns, API development and integration and Test-Driven Development (TDD)
• Working knowledge in building applications that leverage databases such as PostgreSQL, MySQL, MongoDB, Neo4J or storage technologies such as AWS S3, Azure Blob Storage.
• Hands-on experience in building enterprise applications adhering to their needs of security and reliability.
• Hands-on experience building applications using one of the major cloud providers (AWS, Azure, GCP).
• Working knowledge of CI/CD tools for application integration and deployment.
• Working knowledge of using reliability tools to monitor the performance of the application.

We are looking for a Full Stack Developer with strong experience in TypeScript-based frontend frameworks (Svelte/React/Angular) and at least two backend stacks (FastAPI, Python, PHP, Java). You’ll work across the full development cycle, from designing architecture to deploying scalable applications.

Responsibilities:

• Collaborate with product managers and engineers to design and build scalable solutions
• Build robust, responsive front-end applications in TypeScript
• Develop well-structured back-end services and APIs
• Manage databases and integrations for performance and security
• Troubleshoot, debug, and optimize applications
• Ensure mobile responsiveness and data protection standards
• Document code and processes clearly

Technical Skills:

• Proficiency with TypeScript and modern frontend frameworks (Svelte, React, Angular)
• Hands-on experience with any 2 backend stacks (FastAPI, Python, PHP, Java)
• Familiarity with databases (PostgreSQL, MySQL, MongoDB) and web servers (Apache)
• Experience developing APIs and integrating with third-party services

Experience & Education:

• B.Tech/BE in Computer Science or related field
• Minimum 2 years of experience as a Full Stack Developer
• 
  

Soft Skills:

• Strong problem-solving and analytical skills
• Clear communication and teamwork abilities
• Attention to detail and an ownership mindset

As an L3 Data Scientist, you’ll work alongside experienced engineers and data scientists to solve real-world problems using machine learning (ML) and generative AI (GenAI). Beyond classical data science tasks, you’ll contribute to building and fine-tuning large language model (LLM)– based applications, such as chatbots, copilots, and automation workflows.

Key Responsibilities

• Collaborate with business stakeholders to translate problem statements into data science tasks.
• Perform data collection, cleaning, feature engineering, and exploratory data analysis (EDA).
• Build and evaluate ML models using Python and libraries such as scikit-learn and XGBoost.
• Support the development of LLM-powered workflows like RAG (Retrieval-Augmented Generation), prompt engineering, and fine-tuning for use cases including summarization, Q&A, and task automation.
• Contribute to GenAI application development using frameworks like LangChain, OpenAI APIs, or similar ecosystems.
• Work with engineers to integrate models into applications, build/test APIs, and monitor performance post-deployment.
• Maintain reproducible notebooks, pipelines, and documentation for ML and LLM experiments.
• Stay updated on advancements in ML, NLP, and GenAI, and share insights with the team.

Required Skills & Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
• 6–9 years of experience in data science, ML, or AI (projects and internships included).
• Proficiency in Python with experience in libraries like pandas, NumPy, scikit-learn, and matplotlib.
• Basic exposure to LLMs (e.g., OpenAI, Cohere, Mistral, Hugging Face) or a strong interest with the ability to learn quickly.
• Familiarity with SQL and structured data handling.
• Understanding of NLP fundamentals and vector-based retrieval techniques (a plus).
• Strong communication, problem-solving skills, and a proactive attitude.

Nice-to-Have (Not Mandatory)

• Experience with GenAI prototyping using LangChain, LlamaIndex, or similar frameworks.
• Knowledge of REST APIs and model integration into backend systems.
• Familiarity with cloud platforms (AWS/GCP/Azure), Docker, or Git.

As an L1/L2 Data Scientist, you’ll work alongside experienced engineers and data scientists to solve real-world problems using machine learning (ML) and generative AI (GenAI). Beyond classical data science tasks, you’ll contribute to building and fine-tuning large language model (LLM)– based applications, such as chatbots, copilots, and automation workflows.

Key Responsibilities

• Collaborate with business stakeholders to translate problem statements into data science tasks.
• Perform data collection, cleaning, feature engineering, and exploratory data analysis (EDA).
• Build and evaluate ML models using Python and libraries such as scikit-learn and XGBoost.
• Support the development of LLM-powered workflows like RAG (Retrieval-Augmented Generation), prompt engineering, and fine-tuning for use cases including summarization, Q&A, and task automation.
• Contribute to GenAI application development using frameworks like LangChain, OpenAI APIs, or similar ecosystems.
• Work with engineers to integrate models into applications, build/test APIs, and monitor performance post-deployment.
• Maintain reproducible notebooks, pipelines, and documentation for ML and LLM experiments.
• Stay updated on advancements in ML, NLP, and GenAI, and share insights with the team.

Required Skills & Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
• 2.5–5 years of experience in data science, ML, or AI (projects and internships included).
• Proficiency in Python with experience in libraries like pandas, NumPy, scikit-learn, and matplotlib.
• Basic exposure to LLMs (e.g., OpenAI, Cohere, Mistral, Hugging Face) or strong interest with the ability to learn quickly.
• Familiarity with SQL and structured data handling.
• Understanding of NLP fundamentals and vector-based retrieval techniques (a plus).
• Strong communication, problem-solving skills, and a proactive attitude.

Nice-to-Have (Not Mandatory)

• Experience with GenAI prototyping using LangChain, LlamaIndex, or similar frameworks.
• Knowledge of REST APIs and model integration into backend systems.
• Familiarity with cloud platforms (AWS/GCP/Azure), Docker, or Git.

Role Overview:

We’re looking for an exceptionally passionate, logical, and smart Backend Developer to join our core tech team. This role goes beyond writing code — you’ll help shape the architecture, lead entire backend team if needed, and be deeply involved in designing scalable systems almost from scratch.

This is a high-impact opportunity to work directly with the founders and play a pivotal role in building the core product. If you’re looking to grow alongside a fast-growing startup, take complete ownership, and influence the direction of the technology and product, this role is made for you.

Why Clink?

Clink is a fast-growing product startup building innovative solutions in the food-tech space. We’re on a mission to revolutionize how restaurants connect with customers and manage offers seamlessly. Our platform is a customer-facing app that needs to scale rapidly as we grow. We also aim to leverage Generative AI to enhance user experiences and drive personalization at scale.

Key Responsibilities:

• Design, develop, and completely own high-performance backend systems.
• Architect scalable, secure, and efficient system designs.
• Own database schema design and optimization for performance and reliability.
• Collaborate closely with frontend engineers, product managers, and designers.
• Guide and mentor junior team members .
• Explore and experiment with Generative AI capabilities for product innovation.
• Participate in code reviews and ensure high engineering standards.

Must-Have Skills:

• 2–5 years of experience in backend development at a product-based company.
• Strong expertise in database design and system architecture.
• Hands-on experience building multiple production-grade applications.
• Solid programming fundamentals and logical problem-solving skills.
• Experience with Python or Ruby on Rails (one is mandatory).
• Experience integrating third-party APIs and services.

Good-to-Have Skills:

• Familiarity with Generative AI tools, APIs, or projects.
• Contributions to open-source projects or personal side projects.
• Exposure to frontend basics (React, Vue, or similar) is a plus.
• Exposure to containerization, cloud deployment, or CI/CD pipelines.

What We’re Looking For:

• Extremely high aptitude and ability to solve tough technical problems.
• Passion for building products from scratch and shipping fast.
• A hacker mindset — someone who builds cool stuff even in their spare time.
• Team player who can lead when required and work independently when needed.

Development and Customization:

Build and customize Frappe modules to meet business requirements.

Develop new functionalities and troubleshoot issues in ERPNext applications.

Integrate third-party APIs for seamless interoperability.

Technical Support:

Provide technical support to end-users and resolve system issues.

Maintain technical documentation for implementations.

Collaboration:

Work with teams to gather requirements and recommend solutions.

Participate in code reviews for quality standards.

Continuous Improvement:

Stay updated with Frappe developments and optimize application performance.

Skills Required:

Proficiency in Python, JavaScript, and relational databases.

Knowledge of Frappe/ERPNext framework and object-oriented programming.

Experience with Git for version control.

Strong analytical skill

Job Title: Backend Developer

Experience: 2–7 Years

Location: On-site – Bangalore

Employment Type: Full-Time

Company: Pepsales AI (Multiplicity Technologies Inc.)

About Pepsales

Pepsales AI is a real-time sales enablement and conversation intelligence platform built for B2B SaaS sales teams. It empowers sellers across every stage of the sales cycle—before, during, and after discovery calls—by providing actionable insights that move deals forward. 

• For Account Executives: Pepsales AI transforms the discovery process, ensuring objective deal qualification and frictionless handoffs to solution engineers—enabling AEs to focus on winning, not chasing.
• For Solution Engineers and Consultants: It elevates demo experiences by delivering real-time buyer context and actionable insights, ensuring every interaction is highly personalized and impactful.
• For Sales Leaders: It provides enterprise-grade intelligence across forecasting, pipeline health, team performance, coaching, and the authentic voice of the customer—empowering data-driven decision-making at scale.

With Pepsales AI, sales teams run sharper meetings, accelerate deal cycles, and close with confidence.

Role Overview

We’re seeking a passionate Backend Developer to join our fast-paced team in Bangalore and help build and scale the core systems powering Pepsales. In this full-time, on-site role, you’ll work on high-impact features that directly influence product innovation, customer success, and business growth. 

You’ll collaborate closely with the founding team and leadership, gaining end-to-end ownership and the chance to bring bold, innovative ideas to life in a rapidly scaling startup environment

Key Responsibilities

• Design, develop, and maintain scalable backend systems and microservices.
• Write clean, efficient, and well-documented code in Python.
• Build and optimize RESTful APIs and WebSocket services for high performance.
• Manage and optimize MongoDB databases for speed and scalability.
• Deploy and maintain containerized applications using Docker.
• Work extensively with AWS services (EC2, ALB, S3, Route 53) for robust cloud infrastructure.
• Implement and maintain CI/CD pipelines for smooth and automated deployments.
• Collaborate closely with frontend engineers, product managers, and leadership on architecture and feature planning.
• Participate in sprint planning, technical discussions, and code reviews.
• Take full ownership of features, embracing uncertainty with a problem-solving mindset.

Required Skills & Qualifications

• 2–7 years of backend development experience with a proven track record of building scalable systems.
• Strong proficiency in Python and its ecosystem.
• Hands-on experience with MongoDB, Docker, and Microservice Architecture.
• Practical experience with AWS services (EC2, ALB, S3, Route 53).
• Familiarity with CI/CD tools and deployment best practices.
• Strong understanding of REST API design principles and WebSocket communication.
• Excellent knowledge of data structures, algorithms, and performance optimization.
• Strong communication skills and ability to work in a collaborative, fast-paced environment.

What We Value

• Excitement to work on cutting-edge technology and platforms , helping redefine how businesses engage and convert customers.
• Thrives in a dynamic startup environment that values diversity, rapid innovation, and a growth mindset—adapting to change, challenging the status quo, and making a real impact.
• Passion for ownership beyond coding, contributing to product strategy and innovation.

Why Join Pepsales?

• Direct access to founders and a voice in high-impact decisions.
• Opportunity to shape a next-gen AI SaaS product transforming sales worldwide.
• Exposure to cutting-edge technologies in a rapidly growing startup.
• Ownership-driven culture with fast career growth and learning opportunities.
• A collaborative, innovation-driven environment that values creativity and problem-solving.

Lead Drone Software Engineer

About the Role

We are hiring a Lead Drone Software Engineer to architect and develop embedded flight software, autonomy algorithms, and AI-powered navigation systems. You will build the intelligence that powers our drones.

Responsibilities

• Develop flight control algorithms using PX4/ArduPilot/ROS.
• Build real-time embedded systems for obstacle avoidance, GPS-denied navigation, and autonomy.
• Implement sensor fusion algorithms (LiDAR, IMU, GPS, vision-based SLAM).
• Develop AI/ML and computer vision systems for object detection and terrain mapping.
• Create ground control systems (GCS) for mission planning and telemetry.
• Integrate cloud-based platforms for fleet management and data analytics.
• Ensure regulatory compliance (geo-fencing, fail-safe, BVLOS).

Qualifications

• B.E./M.Tech in Computer Science, Robotics, or related field.
• 4- 5+ years in embedded software, robotics, or UAV development.
• Strong programming in C/C++, Python.
• Hands-on with ROS, PX4, ArduPilot, MAVLink protocols.
• Experience in AI/ML frameworks (TensorFlow, PyTorch, OpenCV).
• Knowledge of networking, cloud APIs, and cybersecurity for UAVs.
• Prior UAV/robotics product experience highly preferred.

Salary (Lacs): Up to 22 LPA

Required Qualifications

•   4–7 years of total experience, with a minimum of 4 years in a full-time DevOps role

•   Hands-on experience with major cloud platforms (GCP, AWS, Azure, OCI), more than one will be a plus

•   Proficient in Kubernetes administration and container technologies (Docker, containerd)

•   Strong Linux fundamentals

•   Scripting skills in Python and shell scripting

•   Knowledge of infrastructure as code with hands-on experience in Terraform and/or Pulumi (mandatory)

•   Experience in maintaining and troubleshooting production environments

•   Solid understanding of CI/CD concepts with hands-on experience in tools like Jenkins, GitLab CI, GitHub Actions, ArgoCD, Devtron, GCP Cloud Build, or Bitbucket Pipelines

We are looking for experienced Data Engineers who can independently build, optimize, and manage scalable data pipelines and platforms.

In this role, you’ll:

• Work closely with clients and internal teams to deliver robust data solutions powering analytics, AI/ML, and operational systems.
• Mentor junior engineers and bring engineering discipline into our data engagements.

Key Responsibilities

• Design, build, and optimize large-scale, distributed data pipelines for both batch and streaming use cases.
• Implement scalable data models, warehouses/lakehouses, and data lakes to support analytics and decision-making.
• Collaborate with stakeholders to translate business requirements into technical solutions.
• Drive performance tuning, monitoring, and reliability of data pipelines.
• Write clean, modular, production-ready code with proper documentation and testing.
• Contribute to architectural discussions, tool evaluations, and platform setup.
• Mentor junior engineers and participate in code/design reviews.

Must-Have Skills

• Strong programming skills in Python and advanced SQL expertise.
• Deep understanding of ETL/ELT, data modeling (OLTP & OLAP), warehousing, and stream processing.
• Hands-on with distributed data processing frameworks (Apache Spark, Flink, or similar).
• Experience with orchestration tools like Airflow (or similar).
• Familiarity with CI/CD pipelines and Git.
• Ability to debug, optimize, and scale data pipelines in production.

Good to Have

• Experience with cloud platforms (AWS preferred; GCP/Azure also welcome).
• Exposure to Databricks, dbt, or similar platforms.
• Understanding of data governance, quality frameworks, and observability.
• Certifications (e.g., AWS Data Analytics, Solutions Architect, or Databricks).

Other Expectations

• Comfortable working in fast-paced, client-facing environments.
• Strong analytical and problem-solving skills with attention to detail.
• Ability to adapt across tools, stacks, and business domains.
• Willingness to travel within India for short/medium-term client engagements, as needed.

We are looking for a detail-oriented QA Engineer with 2+ years of experience in software testing, especially with a strong focus on automation using Python and Pytest. The ideal candidate will work closely with the development and DevOps teams to ensure the quality, stability, and performance of our applications across different environments.

Key Responsibilities:

• Design, develop, and maintain automated test suites using Python and Pytest
• Write clear, concise, and comprehensive test plans and test cases
• Perform functional, regression, integration, and API testing
• Collaborate with developers to understand requirements and implement test strategies
• Identify, log, and track bugs in a structured way using bug tracking tools (e.g., Jira)
• Work with CI/CD pipelines to integrate automated testing
• Analyze test results and provide meaningful reports to stakeholders
• Continuously improve test coverage and testing frameworks

Required Skills & Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or related field
• 2+ years of professional experience in software QA or test automation
• Strong hands-on experience with Python and Pytest
• Solid understanding of software testing methodologies (Agile, Scrum)
• Experience with REST API testing using tools like Postman or through code
• Familiarity with version control systems like Git
• Understanding of CI/CD tools (e.g., Bitbucket ,Jenkins)
• Excellent problem-solving and analytical skills
• Strong written and verbal communication skills

Good to Have:

• Experience with Selenium or Playwright for UI test automation

Skills

• Strong analytical thinking and problem-solving abilities.
• Solid understanding of system design, data structures, and algorithms.
• Proven experience in designing and implementing scalable architectures and robust design patterns.
• Ability to deliver end-to-end features and enhancements with minimal supervision.
• Proficient in debugging and resolving complex production issues and identifying root causes quickly.
• Ability to quickly learn and integrate new systems into existing platforms.

Programming Languages

• Strong expertise in Java or Python.

Database Skills

• Proficiency in SQL, with hands-on experience in PostgreSQL and MySQL.

Experience with NoSQL technologies, including MongoDB and Redis.

At Yugen, we're buildingCansoan AI-agent driven fraud Investigation platform for financial organisations. We're currently in the0-1 stageand we're looking for curious andhigh-agencyengineers to join us in this journey to shape a category defining product with global impact.

You should be eager to learn, prefer a fast-paced environment, and are excited about getting agentic systems to work in production. More importantly, no matter how tough the challenge, you're someone who's never afraid toshow up.

Responsibilities

• Develop, test, and maintain scalable backend systems (APIs, Pipelines and AI applications)
• Work with other team members (Backend, ML, Data Engineers, Product & Design) to ship features quickly
• Learn how to debug & resolve production issues to ensure system uptime
• Participate in architectural & system design discussions
• Explore new technologies and frameworks & come up with suggestions to improve existing systems

Requirements

• Strong programming skills in one or more of: Python, Go, TypeScript or similar
• Strong understanding of software development principles (OOPS, REST APIs, etc. ) and tooling such Git
• Familiarity with databases (SQL or NoSQL)
• A deep sense of curiosity and a knack for experimentation with AI applications
• You're proactive and love getting things done regardless of external factors
• Strong communication skills and a very good eye for detail

Must Have

• Excellent coding skills with strong problem-solving abilities
• Meaningful contributions to open-source projects
• Strong proof of building and deep focus. For example
• Active participation in multiple hackathons, with top-3 finishes or notable wins
• At-least 1 self-driven portfolio project that has been maintained over 4 months. Github repos with frequent commits showing continuous progress would be great.

Job Role:

The role is for an SAP UI5 Consultant responsible for developing and enhancing web applications using SAP UI5 and related technologies.

Responsibilities:

1. Develop Fiori-like web applications based on SAPUI5.
2. Implement REST Web services and enhancements to SAP Fiori apps.
3. Work with Web Technologies including HTML5, CSS3, and JavaScript.
4. Participate in knowledge transfers and evaluate new technologies.
5. Understand and implement software architecture for enterprise applications.

Qualifications:

The candidate should have a BA/BE/BTech qualification with excellent verbal and written communication skills in English. Ability to work flexible hours is necessary.

Job Summary:

Experienced Full-Stack Developer with expertise in Angular (TypeScript) for front-end development and Python Flask for back-end API development. Strong background in Microsoft SQL Server, authentication using Azure AD (MSAL), and implementing efficient API integrations. Skilled in unit testing, debugging, and optimizing performance.

Key Skills:

• Front-End: Angular, TypeScript, PrimeNG, RxJS, State Management, React JS

• Back-End: Python Flask, SQLAlchemy, RESTful API Development

• Database: Microsoft SQL Server (SQL, Joins, Query Optimization)

• Authentication: Azure AD, MSAL, JWT-based authentication

• DevOps & Deployment: Git, CI/CD (Azure DevOps, GitHub Actions)

• Additional: data validation, pagination, performance tuning

Proven experience as a Data Scientist or similar role with relevant experience of at least 4 years and total experience 6-8 years.

· Technical expertiseregarding data models, database design development, data mining and segmentation techniques

· Strong knowledge of and experience with reporting packages (Business Objects and likewise), databases, programming in ETL frameworks

· Experience with data movement and management in the Cloud utilizing a combination of Azure or AWS features

· Hands on experience in data visualization tools – Power BI preferred

· Solid understanding of machine learning

· Knowledge of data management and visualization techniques

· A knack for statistical analysis and predictive modeling

· Good knowledge of Python and Matlab

· Experience with SQL and NoSQL databases including ability to write complex queries and procedures

Job Title: Technical Manager – Digital & Emerging Tech

Location: Kempegowda International Airport, Bengaluru

Department: ICT / Architecture & Digital Solutions

Experience: 12+ years

About the Role:

We’re looking for an experienced Technical Manager to lead innovative digital initiatives at Bangalore Airport. You will identify, validate, and implement emerging technologies such as AI/ML, IoT, robotics, biometrics, and more — from proof-of-concept to full-scale deployment. This role demands strong project management, vendor coordination, and technical expertise to deliver impactful solutions aligned with our business goals.

Key Responsibilities:

• Lead end-to-end project management of IT and digital innovation initiatives.
• Research, evaluate, and implement emerging technologies relevant to smart airports.
• Develop RFPs, evaluate vendor proposals, and manage partner relationships.
• Conduct and manage Proof of Concepts (PoCs) with measurable success criteria.
• Define and validate target architectures in line with best practices and security standards.
• Oversee application development, ensuring technical, UX, and security compliance.
• Collaborate closely with internal teams and external vendors to meet project goals.

Requirements:

• MCA / B.E. / B.Tech in IT or related field.
• 12+ years of experience in technology leadership with focus on innovation.
• Hands-on exposure to emerging technologies (AI, Blockchain, IoT, AR/VR, Cloud).
• Experience with AWS/Azure, agile project management, and vendor management.
• Strong understanding of cybersecurity, DevSecOps, and IT infrastructure.
• Excellent stakeholder management and documentation skills.

Behavioral Competencies:

• Strategic Leadership – Proficient
• Change Influencer & Innovation Mindset – Advanced
• Customer Centricity, Execution Excellence, Collaboration – Expert

Why Join Us:

Work at one of India’s premier airports, driving future-ready digital transformation that enhances passenger experience and operational efficiency.

Responsibilities: 

• Design and develop scalable, secure, and high-performance applications using Python (Django framework). 
• Architect system components, define database schemas, and optimize backend services for speed and efficiency. 
• Lead and implement design patterns and software architecture best practices. 
• Ensure code quality through comprehensive unit testing, integration testing, and participation in code reviews. 
• Collaborate closely with Product, DevOps, QA, and Frontend teams to build seamless end-to-end solutions. 
• Drive performance improvements, monitor system health, and troubleshoot production issues. 
• Apply domain knowledge in payments and finance, including transaction processing, reconciliation, settlements, wallets, UPI, etc. 
• Contribute to technical decision-making and mentor junior developers. 

Requirements: 

• 6 to 10 years of professional backend development experience with Python and Django. 
• Strong background in payments/financial systems or FinTech applications. 
• Proven experience in designing software architecture in a microservices or modular monolith environment. 
• Experience working in fast-paced startup environments with agile practices. 
• Proficiency in RESTful APIs, SQL (PostgreSQL/MySQL), NoSQL (MongoDB/Redis). 
• Solid understanding of Docker, CI/CD pipelines, and cloud platforms (AWS/GCP/Azure). 
• Hands-on experience with test-driven development (TDD) and frameworks like pytest, unittest, or factory_boy. 
• Familiarity with security best practices in financial applications (PCI compliance, data encryption, etc.). 

Preferred Skills: 

• Exposure to event-driven architecture (Celery, Kafka, RabbitMQ). 
• Experience integrating with third-party payment gateways, banking APIs, or financial instruments. 
• Understanding of DevOps and monitoring tools (Prometheus, ELK, Grafana). 
• Contributions to open-source or personal finance-related projects. 

 Key Responsibilities

• Design and implement ETL/ELT pipelines using Databricks, PySpark, and AWS Glue
• Develop and maintain scalable data architectures on AWS (S3, EMR, Lambda, Redshift, RDS)
• Perform data wrangling, cleansing, and transformation using Python and SQL
• Collaborate with data scientists to integrate Generative AI models into analytics workflows
• Build dashboards and reports to visualize insights using tools like Power BI or Tableau
• Ensure data quality, governance, and security across all data assets
• Optimize performance of data pipelines and troubleshoot bottlenecks
• Work closely with stakeholders to understand data requirements and deliver actionable insights

🧪 Required Skills

Skill AreaTools & TechnologiesCloud PlatformsAWS (S3, Lambda, Glue, EMR, Redshift)Big DataDatabricks, Apache Spark, PySparkProgrammingPython, SQLData EngineeringETL/ELT, Data Lakes, Data WarehousingAnalyticsData Modeling, Visualization, BI ReportingGen AI IntegrationOpenAI, Hugging Face, LangChain (preferred)DevOps (Bonus)Git, Jenkins, Terraform, Docker

📚 Qualifications

• Bachelor's or Master’s degree in Computer Science, Data Science, or related field
• 3+ years of experience in data engineering or data analytics
• Hands-on experience with Databricks, PySpark, and AWS
• Familiarity with Generative AI tools and frameworks is a strong plus
• Strong problem-solving and communication skills

🌟 Preferred Traits

• Analytical mindset with attention to detail
• Passion for data and emerging technologies
• Ability to work independently and in cross-functional teams
• Eagerness to learn and adapt in a fast-paced environment

EDI Developer / Map Conversion Specialist

Role Summary:

Responsible for converting 441 existing EDI maps into the PortPro-compatible format and testing them for 147 customer configurations.

Key Responsibilities:

• Analyze existing EDI maps in Profit Tools.
• Convert, reconfigure, or rebuild maps for PortPro.
• Ensure accuracy in mapping and transformation logic.
• Unit test and debug EDI transactions.
• Support system integration and UAT phases.

Skills Required:

• Proficiency in EDI standards (X12, EDIFACT) and transaction sets.
• Hands-on experience in EDI mapping tools.
• Familiarity with both Profit Tools and PortPro data structures.
• SQL and XML/JSON data handling skills.
• Experience with scripting for automation (Python, Shell scripting preferred).
• Strong troubleshooting and debugging skills.

Job Title: Senior Data Engineer

Location: Bangalore | Hybrid

Company: krtrimaIQ Cognitive Solutions

Role Overview:

As a Senior Data Engineer, you will design, build, and optimize robust data foundations and end-to-end solutions to unlock maximum value from data across the organization. You will play a key role in fostering data-driven thinking, not only within the IT function but also among broader business stakeholders. You will serve as a technology and subject matter expert, providing mentorship to junior engineers and translating the company’s vision and Data Strategy into actionable, high-impact IT solutions.

Key Responsibilities:

• Design, develop, and implement scalable data solutions to support business objectives and drive digital transformation.
• Serve as a subject matter expert in data engineering, providing guidance and mentorship to junior team members.
• Enable and promote data-driven culture throughout the organization, engaging both technical and business stakeholders.
• Lead the design and delivery of Data Foundation initiatives, ensuring adoption and value realization across business units.
• Collaborate with business and IT teams to capture requirements, design optimal data models, and deliver high-value insights.
• Manage and drive change management, incident management, and problem management processes related to data platforms.
• Present technical reports and actionable insights to stakeholders and leadership teams, acting as the expert in Data Analysis and Design.
• Continuously improve efficiency and effectiveness of solution delivery, driving down costs and reducing implementation times.
• Contribute to organizational knowledge-sharing and capability building (e.g., Centers of Excellence, Communities of Practice).
• Champion best practices in code quality, DevOps, CI/CD, and data governance throughout the solution lifecycle.

Key Characteristics:

• Technology expert with a passion for continuous learning and exploring multiple perspectives.
• Deep expertise in the data engineering/technology domain, with hands-on experience across the full data stack.
• Excellent communicator, able to bridge the gap between technical teams and business stakeholders.
• Trusted leader, respected across levels for subject matter expertise and collaborative approach.

Mandatory Skills & Experience:

• Mastery in public cloud platforms: AWS, Azure, SAP
• Mastery in ELT (Extract, Load, Transform) operations
• Advanced data modeling expertise for enterprise data platforms

Hands-on skills:

• Data Integration & Ingestion
• Data Manipulation and Processing
• Source/version control and DevOps tools: GITHUB, Actions, Azure DevOps
• Data engineering/data platform tools: Azure Data Factory, Databricks, SQL Database, Synapse Analytics, Stream Analytics, AWS Glue, Apache Airflow, AWS Kinesis, Amazon Redshift, SonarQube, PyTest
• Experience building scalable and reliable data pipelines for analytics and other business applications

Optional/Preferred Skills:

• Project management experience, especially running or contributing to Scrum teams
• Experience working with BPC (Business Planning and Consolidation), Planning tools
• Exposure to working with external partners in the technology ecosystem and vendor management

What We Offer:

• Opportunity to leverage cutting-edge technologies in a high-impact, global business environment
• Collaborative, growth-oriented culture with strong community and knowledge-sharing
• Chance to influence and drive key data initiatives across the organization

Quidcash is seeking a skilled Backend Developer to architect, build, and optimize mission-critical financial systems. You’ll leverage your expertise in JavaScript, Python, and OOP to develop scalable backend services that power our fintech/lending solutions. This role offers

the chance to solve complex technical challenges, integrate cutting-edge technologies, and directly impact the future of financial services for Indian SMEs.

If you are a leader who thrives on technical challenges, loves building high-performing teams, and is excited by the potential of AI/ML in fintech, we want to hear from you!

What You ll Do:

 Design & Development: Build scalable backend services using JavaScript(Node.js) and Python, adhering to OOP principles and microservices architecture.

 Fintech Integration: Develop secure APIs (REST/gRPC) for financial workflows(e.g., payments, transactions, data processing) and ensure compliance with regulations (PCI-DSS, GDPR).

 System Optimization: Enhance performance, reliability, and scalability of cloud- native applications on AWS.

 Collaboration: Partner with frontend, data, and product teams to deliver end-to-end features in Agile/Scrum cycles.

 Quality Assurance: Implement automated testing (unit/integration), CI/CD pipelines, and DevOps practices.

 Technical Innovation: Contribute to architectural decisions and explore AI/ML integration opportunities in financial products.

What You'll Bring (Must-Haves):

Experience:

 3–5 years of backend development with JavaScript (Node.js) and Python.

 Proven experience applying OOP principles, design patterns, and micro services.

 Background in fintech, banking, or financial systems (e.g., payment gateways, risk engines, transactional platforms).

Technical Acumen:

Languages/Frameworks:

 JavaScript (Node.js + Express.js/Fastify)

 Python (Django/Flask/FastAPI)

 Databases: SQL (PostgreSQL/MySQL) and/or NoSQL (MongoDB/Redis).

 Cloud & DevOps: AWS/GCP/Azure, Docker, Kubernetes, CI/CD tools (Jenkins/GitLab).

 Financial Tech: API security (OAuth2/JWT), message queues (Kafka/RabbitMQ), and knowledge of financial protocols (e.g., ISO 20022).

Mindset:

 Problem-solver with a passion for clean, testable code and continuous improvement.

 Adaptability in fast-paced environments and commitment to deadlines.

 Collaborative spirit with strong communication skills.

Why Join Quidcash?

 Impact: Play a pivotal role in shaping a product that directly impacts Indian SMEs' business growth.

 Innovation: Work with cutting-edge technologies, including AI/ML, in a forward-thinking environment.

 Growth: Opportunities for professional development and career advancement in a growing company.

 Culture: Be part of a collaborative, supportive, and brilliant team that values every contribution.

 Benefits: Competitive salary, comprehensive benefits package, and be a part of the next fintech evolution.

If you are interested, pls share your profile to smithaquidcash.in

Key Responsibilities

• Data Architecture & Pipeline Development
• Design, implement, and optimize ETL/ELT pipelines using Azure Data Factory, Databricks, and Synapse Analytics.
• Integrate structured, semi-structured, and unstructured data from multiple sources.
• Data Storage & Management
• Develop and maintain Azure SQL Database, Azure Synapse Analytics, and Azure Data Lake solutions.
• Ensure proper indexing, partitioning, and storage optimization for performance.
• Data Governance & Security
• Implement role-based access control, data encryption, and compliance with GDPR/CCPA.
• Ensure metadata management and data lineage tracking with Azure Purview or similar tools.
• Collaboration & Stakeholder Engagement
• Work closely with BI developers, analysts, and business teams to translate requirements into data solutions.
• Provide technical guidance and best practices for data integration and transformation.
• Monitoring & Optimization
• Set up monitoring and alerting for data pipelines.
• 
  

About HelloRamp.ai

HelloRamp is on a mission to revolutionize media creation for automotive and retail using AI. Our platform powers 3D/AR experiences for leading brands like Cars24, Spinny, and Samsung. We’re now building the next generation of Computer Vision + AI products, including cutting-edge NeRF pipelines and AI-driven video generation.

What You’ll Work On

• Develop and optimize Computer Vision pipelines for large-scale media creation.
• Implement NeRF-based systems for high-quality 3D reconstruction.
• Build and fine-tune AI video generation models using state-of-the-art techniques.
• Optimize AI inference for production (CUDA, TensorRT, ONNX).
• Collaborate with the engineering team to integrate AI features into scalable cloud systems.
• Research latest AI/CV advancements and bring them into production.

Skills & Experience

• Strong Python programming skills.
• Deep expertise in Computer Vision and Machine Learning.
• Hands-on with PyTorch/TensorFlow.
• Experience with NeRF frameworks (Instant-NGP, Nerfstudio, Plenoxels) and/or video synthesis models.
• Familiarity with 3D graphics concepts (meshes, point clouds, depth maps).
• GPU programming and optimization skills.

Nice to Have

• Knowledge of Three.js or WebGL for rendering AI outputs on the web.
• Familiarity with FFmpeg and video processing pipelines.
• Experience in cloud-based GPU environments (AWS/GCP).

Why Join Us?

• Work on cutting-edge AI and Computer Vision projects with global impact.
• Join a small, high-ownership team where your work matters.
• Opportunity to experiment, publish, and contribute to open-source.
• Competitive pay and flexible work setup.

Quidcash seeks a versatile full-stack developer to build transformative fintech applications from end to end. You ll leverage Flutter for frontend development and JavaScript/Python for backend systems to create seamless, high-performance solutions for Indian SMEs. This role

blends UI craftsmanship with backend logic, offering the chance to architect responsive web/mobile experiences while integrating financial workflows and AI-driven features. If you excel at turning complex requirements into intuitive interfaces, thrive in full lifecycle development, and are passionate about fintech innovation – join us!

What You’ll Do:

 Full-stack Development:

 Design and build responsive cross-platform applications using Flutter (Dart) for web and mobile native app development.

 Develop robust backend services with JavaScript (Node.js) and Python, applying OOP principles and RESTful/gRPC APIs.

 Integrations:

 Implement secure financial features (e.g., payment processing, dashboards, transaction workflows) with regulatory compliance.

 Connect frontend UIs to backend systems (databases, cloud APIs, AI/ML models).

 System Architecture: Architect scalable solutions using microservices, state management (Provider/Bloc), and cloud patterns (AWS/GCP).

Collaboration & Delivery:

 Partner with product, UX, and QA teams in Agile/Scrum cycles to ship features from concept to production.

Quality & Innovation:

 Enforce testing (unit/widget/integration), CI/CD pipelines, and DevOps practices.

 Explore AI/ML integration for data-driven UI/UX enhancements.

What You’ll Bring (Must-Haves):

Experience:

 3–5 years in full-stack development, including:

 Flutter (Dart) for cross-platform apps (iOS, Android, Web).

 JavaScript (Node.js + React/Express) and Python (Django/Flask).

 Experience with OOP, design patterns, and full SDLC in Agile environments.

Technical Acumen:

 Frontend:

 Flutter (state management, animations, custom widgets).

 HTML/CSS, responsive design, and performance optimization.

 Backend:

Node.js/Python frameworks, API design, and database integration (SQL/NoSQL).

 Tools & Practices:

 Cloud platforms (AWS/GCP/Azure), Docker, CI/CD (Jenkins/GitHub Actions).

 Git, testing suites (Jest/Pytest, Flutter Test), and financial security standards.

Mindset:

 User-centric approach with a passion for intuitive, accessible UI/UX.

 Ability to bridge technical gaps between frontend and backend teams.

 Agile problem-solver thriving in fast-paced fintech environments.

Why Join Quidcash?

 Impact: Play a pivotal role in shaping a product that directly impacts Indian SMEs' business growth.

 Innovation: Work with cutting-edge technologies, including AI/ML, in a forward- thinking environment.

 Growth: Opportunities for professional development and career advancement in a growing company.

 Culture: Be part of a collaborative, supportive, and brilliant team that values every contribution.

 Benefits: Competitive salary, comprehensive benefits package, and be a part of the next fintech evolution.

Job Description: Software Engineer - Backend ( 3-5 Years)

Location: Bangalore

WHO WE ARE:

TIFIN is a fintech platform backed by industry leaders including JP Morgan, Morningstar, Broadridge, Hamilton Lane, Franklin Templeton, Motive Partners and a who’s who of the financial service industry. We are creating engaging wealth experiences to better financial lives

through AI and investment intelligence powered personalization. We are working to change the world of wealth in ways that personalization has changed the world of movies, music and more but with the added responsibility of delivering better wealth outcomes.

We use design and behavioral thinking to enable engaging experiences through software and application programming interfaces (APIs). We use investment science and intelligence to build algorithmic engines inside the software and APIs to enable better investor outcomes.

In a world where every individual is unique, we match them to financial advice and investments with a recognition of their distinct needs and goals across our investment marketplace and our advice and planning divisions.

OUR VALUES: Go with your GUT

●Grow at the Edge: We embrace personal growth by stepping out of our comfort zones to

discover our genius zones, driven by self-awareness and integrity. No excuses.

●Understanding through Listening and Speaking the Truth: Transparency, radical candor,

and authenticity define our communication. We challenge ideas, but once decisions are

made, we commit fully.

●I Win for Teamwin: We operate within our genius zones, taking ownership of our work

and inspiring our team with energy and attitude to win together.

Responsibilities:

• Contribute to the entire implementation process including driving the definition of improvements based on business needs and architectural improvements.

• Review code for quality and implementation of best practices.

• Promote coding, testing, and deployment best practices through hands-on research and demonstration.

• Write testable code that enables extremely high levels of code coverage.

• Ability to review frameworks and design principles toward suitability in the project context.

• Candidates who will demonstrate an ability to identify an opportunity lay out a rational plan for pursuing that opportunity, and see it through to completion.

Requirements:

• Engineering graduate with 3+ years of experience in software product development.

• Proficient in Python, Django, Pandas, GitHub, and AWS.

• Good knowledge of PostgreSQL, and MongoDB.

• Strong Experience in designing REST APIs.

• Experience with working on scalable interactive web applications.

• A clear understanding of software design constructs and their implementation.

• Understanding of the threading limitations of Python and multi-process architecture.

• Familiarity with some ORM (Object Relational Mapper) libraries.

• Good understanding of Test Driven Development.

• Unit and Integration testing.

• Preferred exposure to Finance domain.

• Strong written and oral communication skills.

Job Type : Contract

Location : Bangalore

Experience : 5+yrs

The role focuses on cloud security engineering with a strong emphasis on GCP, while also covering AWS and Azure.

Required Skills:

• 5+ years of experience in software and/or cloud platform engineering, particularly focused on GCP environment.
• Knowledge of the Shared Responsibility Model; keen understanding of the security risks inherent in hosting cloud-based applications and data.
• Experience developing across the security assurance lifecycle (including prevent, detect, respond, and remediate controls)?Experience in configuring Public Cloud native security tooling and capabilities with a focus on Google Cloud Organizational policies/constraints, VPC SC, IAM policies and GCP APIs.
• Experience with Cloud Security Posture Management (CSPM) 3rd Party tools such as Wiz, Prisma, Check Point CloudGuard, etc.
• Experience in Policy-as-code (Rego) and OPA platform.
• Experience solutioning and configuring event-driven serverless-based security controls in Azure, including but not limited to technologies such as Azure Function, Automation Runbook, AWS Lambda and Google Cloud Functions.
• Deep understanding of DevOps processes and workflows.
• Working knowledge of the Secure SDLC process
• Experience with Infrastructure as Code (IaC) tooling, preferably Terraform.
• Familiarity with Logging and data pipeline concepts and architectures in cloud.
• Strong in scripting languages such as PowerShell or Python or Bash or Go.
• Knowledge of Agile best practices and methodologies
• Experience creating technical architecture documentation.? Excellent communication, written and interpersonal skills.
• Practical experience in designing and configuring CICD pipelines. Practical experience in GitHub Actions and Jenkins.
• Experience in ITSM.
• Ability to articulate complex technical concepts to non-technical stakeholders.
• Experience with risk control frameworks and engagements with risk and regulatory functions
• Experience in the financial industry would be a plus.

Position Overview:

We are looking for a talented and self-motivated Back-end Developer to join our development team. The ideal candidate will be responsible for writing clean, efficient, and maintainable code that enhances workflow organization and automates various internal processes within the organization. The role involves continuous improvement of our software solutions to save man-hours and ensure overall organizational efficiency. Key tasks include development, testing, debugging, troubleshooting, and maintenance of both new and existing programs.

Key responsibilities:

1)    Software Development: Write clean, efficient, and maintainable code/flows that automate internal processes and improve workflow efficiency.

2)    Testing and Maintenance: Perform testing, debugging, troubleshooting, and daily maintenance of created or integrated programs.

3)    Adherence to Standards: Follow preferred development methodologies and adhere to organizational development standards.

4)    Team work: To work closely with other team members to ensure the successful implementation of projects. Maintain clear and concise documentation of code, APIs, and software components to aid in knowledge sharing and future development.

5)    Stay Current: Keep up to date with the latest developments in the Python, RPA ecosystem and engage in best practices of software engineering.

Position Overview:

We are seeking a skilled Software Developer with a focus on Front-End Development with Strong proficiency in HTML, JavaScript, CSS, Sass, Bootstrap and modern JavaScript frameworks including ReactJS and jQuery to join our team. The successful candidate will be responsible for writing clean, efficient, and maintainable code that enhances workflow organization and automates various internal processes within the organization. The role involves continuous improvement of our software solutions to save man-hours and ensure overall organizational efficiency. Key tasks include development, testing, debugging, troubleshooting, and maintenance of both new and existing programs.

Key responsibilities:

1)    Software Development: Write clean, efficient, and maintainable code/flows that automate internal processes and improve workflow efficiency.

2)    Testing and Maintenance: Perform testing, debugging, troubleshooting, and daily maintenance of created or integrated programs.

3)    UI/UX Development and Design: Design and develop intuitive and visually appealing user interfaces in the software.

4)    Web Services Integration: Integrate UI with web services to ensure seamless functionality.

5)    Adherence to Standards: Follow preferred development methodologies and adhere to organizational development standards.

6)    Collaboration: To work closely with other team members to ensure the successful implementation of projects. Maintain clear and concise documentation of code, APIs, and software components to aid in knowledge sharing and future development.

7)    Stay Current: Keep up to date with the latest developments in the Frond end development ecosystem and engage in best practices of software engineering.

Sr. Software Engineer

Role expects you to

• Design, code, test, debug, deploy Web App and Mobile Apps

• Collaborate with SMEs to resolve Technical Issues and Achieve Goals

• Lead Projects, teams

• Strong problem solving skills

• Open to learn new technologies

Qualification

▪ 4+ years of IT Development Experience

▪ Comprehensive Programming Experience in Web and Mobile app development using

MEAN or MERN stack

▪ Knowledge of Python, Ruby

▪ Knowledge of RDBMS like MS SQL, PostgreSQL, MySQL

▪ Understanding of Dev-Ops Tools like git, Jenkins, Azure Dev-Ops

▪ Exposure Cloud technologies, Agile development process, Estimation techniques

▪ Understanding of End to End Development process

Role Overview

As an AI/ML Engineer at Hotelzify, you will be at the forefront of designing and deploying AI components that power our conversational agent (voice + chat). You’ll be responsible for NLP/NLU pipelines, real-time inference optimization, dialogue management, retrieval-augmented generation (RAG), and LLM integration, helping the agent understand user intents, answer questions, and complete bookings live.

Key Responsibilities

• Design and implement NLP/NLU models to understand real-time user intents from text and voice.
• Build and fine-tune LLM-based conversational flows using RAG, prompt engineering, and retrieval mechanisms.
• Integrate external tools for hotel availability, pricing APIs, CRM data, and transactional workflows.
• Develop efficient real-time inference pipelines with latency under 300ms for voice and chat.
• Collaborate with frontend/backend teams to ensure seamless LLM API orchestration.
• Optimize prompt logic, dialogue memory, and fallback strategies for natural conversations.
• Conduct A/B experiments and continuous learning pipelines for feedback-driven improvement.
• Use vector databases (e.g., FAISS, Pinecone, Weaviate) for retrieval over hotel-related data.
• Work on voice-specific challenges: STT (Speech-to-Text), TTS, and intent detection over audio streams.

Tech Stack

• Languages: Python, Node.js
• AI/ML: LangChain, Transformers (Hugging Face), OpenAI APIs, LlamaIndex, RAG, Whisper, NVIDIA NeMo
• Infra: AWS (EC2, RDS, EKS, Lambda), Docker, Redis
• Databases: PostgreSQL, MongoDB, Pinecone / Weaviate / Qdrant
• Voice APIs: Plivo, Twilio, Google Speech, AssemblyAI

What We’re Looking For

• 3+ years in AI/ML/NLP-focused roles, preferably in production environments.
• Strong understanding of modern LLM pipelines, LangChain/RAG architectures.
• Experience building or integrating real-time conversational AI systems.
• Comfortable with voice-based systems: STT, TTS, and real-time latency tuning.
• Hands-on experience with fine-tuning or prompt-tuning transformer models.
• Bonus: Experience working in travel, hospitality, or e-commerce domains.

Nice to Have

• Prior work with agents that use [tool calling] / [function calling] paradigms.
• Knowledge of reinforcement learning for dialogue optimization (e.g., RLHF).
• Experience deploying on GPU-based infrastructure (e.g., AWS EC2 with NVIDIA).

Why Join Us?

• Work on a real product used by thousands of guests every day.
• Build India’s first real-time AI agent for hotel sales.
• Flexible work environment with deep ownership and autonomy.
• Get to experiment and deploy bleeding-edge ML/AI tech in production.

Job Title: Sr Dev Ops Engineer

Location: Bengaluru- India (Hybrid work type)

Reports to: Sr Engineer manager

About Our Client : 

We are a solution-based, fast-paced tech company with a team that thrives on collaboration and innovative thinking. Our Client's IoT solutions provide real-time visibility and actionable insights for logistics and supply chain management. Cloud-based, AI-enhanced metrics coupled with patented hardware optimize processes, inform strategic decision making and enable intelligent supply chains without the costly infrastructure

About the role : We're looking for a passionate DevOps Engineer to optimize our software delivery and infrastructure. You'll build and maintain CI/CD pipelines for our microservices, automate infrastructure, and ensure our systems are reliable, scalable, and secure. If you thrive on enhancing performance and fostering operational excellence, this role is for you. 

What You'll Do 🛠️

• Cloud Platform Management: Administer and optimize AWS resources, ensuring efficient billing and cost management.
• Billing & Cost Optimization: Monitor and optimize cloud spending.
• Containerization & Orchestration: Deploy and manage applications and orchestrate them.
• Database Management: Deploy, manage, and optimize database instances and their lifecycles.
• Authentication Solutions: Implement and manage authentication systems.
• Backup & Recovery: Implement robust backup and disaster recovery strategies, for Kubernetes cluster and database backups.
• Monitoring & Alerting: Set up and maintain robust systems using tools for application and infrastructure health and integrate with billing dashboards.
• Automation & Scripting: Automate repetitive tasks and infrastructure provisioning.
• Security & Reliability: Implement best practices and ensure system performance and security across all deployments.
• Collaboration & Support: Work closely with development teams, providing DevOps expertise and support for their various application stacks. 

What You'll Bring 💼

• Minimum of 4 years of experience in a DevOps or SRE role.
• Strong proficiency in AWS Cloud, including services like Lambda, IoT Core, ElastiCache, CloudFront, and S3.
• Solid understanding of Linux fundamentals and command-line tools.
• Extensive experience with CI/CD tools, GitLab CI.
• Hands-on experience with Docker and Kubernetes, specifically AWS EKS.
• Proven experience deploying and managing microservices.
• Expertise in database deployment, optimization, and lifecycle management (MongoDB, PostgreSQL, and Redis).
• Experience with Identity and Access management solutions like Keycloak.
• Experience implementing backup and recovery solutions.
• Familiarity with optimizing scaling, ideally with Karpenter.
• Proficiency in scripting (Python, Bash).
• Experience with monitoring tools such as Prometheus, Grafana, AWS CloudWatch, Elastic Stack.
• Excellent problem-solving and communication skills. 

Bonus Points ➕

• Basic understanding of MQTT or general IoT concepts and protocols.
• Direct experience optimizing React.js (Next.js), Node.js (Express.js, Nest.js) or Python (Flask) deployments in a containerized environment.
• Knowledge of specific AWS services relevant to application stacks.
• Contributions to open-source projects related to Kubernetes, MongoDB, or any of the mentioned frameworks.
• AWS Certifications (AWS Certified DevOps Engineer, AWS Certified Solutions Architect, AWS Certified SysOps Administrator, AWS Certified Advanced Networking).

Why this role: 

•You will help build the company from the ground up—shaping our culture and having an impact from Day 1 as part of the foundational team.

Job Title: Sr Dev Ops Engineer

Location: Bengaluru- India (Hybrid work type)

Reports to: Sr Engineer manager

About Our Client : 

We are a solution-based, fast-paced tech company with a team that thrives on collaboration and innovative thinking. Our Client's IoT solutions provide real-time visibility and actionable insights for logistics and supply chain management. Cloud-based, AI-enhanced metrics coupled with patented hardware optimize processes, inform strategic decision making and enable intelligent supply chains without the costly infrastructure

About the role : We're looking for a passionate DevOps Engineer to optimize our software delivery and infrastructure. You'll build and maintain CI/CD pipelines for our microservices, automate infrastructure, and ensure our systems are reliable, scalable, and secure. If you thrive on enhancing performance and fostering operational excellence, this role is for you. 

What You'll Do 🛠️

• Cloud Platform Management: Administer and optimize AWS resources, ensuring efficient billing and cost management.
• Billing & Cost Optimization: Monitor and optimize cloud spending.
• Containerization & Orchestration: Deploy and manage applications and orchestrate them.
• Database Management: Deploy, manage, and optimize database instances and their lifecycles.
• Authentication Solutions: Implement and manage authentication systems.
• Backup & Recovery: Implement robust backup and disaster recovery strategies, for Kubernetes cluster and database backups.
• Monitoring & Alerting: Set up and maintain robust systems using tools for application and infrastructure health and integrate with billing dashboards.
• Automation & Scripting: Automate repetitive tasks and infrastructure provisioning.
• Security & Reliability: Implement best practices and ensure system performance and security across all deployments.
• Collaboration & Support: Work closely with development teams, providing DevOps expertise and support for their various application stacks. 

What You'll Bring 💼

• Minimum of 4 years of experience in a DevOps or SRE role.
• Strong proficiency in AWS Cloud, including services like Lambda, IoT Core, ElastiCache, CloudFront, and S3.
• Solid understanding of Linux fundamentals and command-line tools.
• Extensive experience with CI/CD tools, GitLab CI.
• Hands-on experience with Docker and Kubernetes, specifically AWS EKS.
• Proven experience deploying and managing microservices.
• Expertise in database deployment, optimization, and lifecycle management (MongoDB, PostgreSQL, and Redis).
• Experience with Identity and Access management solutions like Keycloak.
• Experience implementing backup and recovery solutions.
• Familiarity with optimizing scaling, ideally with Karpenter.
• Proficiency in scripting (Python, Bash).
• Experience with monitoring tools such as Prometheus, Grafana, AWS CloudWatch, Elastic Stack.
• Excellent problem-solving and communication skills. 

Bonus Points ➕

• Basic understanding of MQTT or general IoT concepts and protocols.
• Direct experience optimizing React.js (Next.js), Node.js (Express.js, Nest.js) or Python (Flask) deployments in a containerized environment.
• Knowledge of specific AWS services relevant to application stacks.
• Contributions to open-source projects related to Kubernetes, MongoDB, or any of the mentioned frameworks.
• AWS Certifications (AWS Certified DevOps Engineer, AWS Certified Solutions Architect, AWS Certified SysOps Administrator, AWS Certified Advanced Networking).

Why this role: 

•You will help build the company from the ground up—shaping our culture and having an impact from Day 1 as part of the foundational team.

Job Title: Python Developer

Location: Bangalore

Experience: 5–7 Years

Employment Type: Full-Time

Job Description:

We are seeking an experienced Python Developer with strong proficiency in data analysis tools and PySpark, along with a solid understanding of SQL syntax. The ideal candidate will work on large-scale data processing and analysis tasks within a fast-paced environment.

Key Requirements:

Python: Hands-on experience with Python, specifically in data analysis using libraries such as pandas, numpy, etc.

PySpark: Proficiency in writing efficient PySpark code for distributed data processing.

SQL: Strong knowledge of SQL syntax and experience in writing optimized queries.

Ability to work independently and collaborate effectively with cross-functional teams.

Job Title: Full-Stack developer

Location: Bengaluru, India

Experience: 5 to 8+ Years

Employment Type: Full-time

Company Overview:

IAI Solution Pvt Ltd (www.iaisolution.com),operates at the edge of applied AI where foundational research meets real-world deployment. We craft intelligent systems that think in teams, adapt with context, and deliver actionable insight across domains. We are seeking a Full Stack Developer who thrives in high-velocity environments, enjoys technical problem-solving, and is passionate about building scalable and impactful systems.

Position Summary :

We’re hiring a Full Stack Developer with strong experience in Python, React.js, and Next.js, capable of handling end-to-end development. The ideal candidate should have hands-on exposure to FastAPI, Django, Node.js, and cloud platforms like Azure or AWS. Familiarity with Docker, Kubernetes, Terraform, CI/CD tools, and databases like PostgreSQL, MongoDB, and Redis is required. This role demands building and deploying scalable systems in a fast-paced, agile environment.

Experience in a start-up environment is preferred, where agility, ownership, and cross-functional collaboration are key.

Key Responsibilities

• Develop and maintain end-to-end web applications, including frontend interfaces and backend services.
• Build responsive and scalable UIs using React.js and Next.js.
• Design and implement robust backend APIs using Python, FastAPI, Django, or Node.js.
• Work with cloud platforms such as Azure (preferred) or AWS for application deployment and scaling.
• Manage DevOps tasks, including containerization with Docker, orchestration with Kubernetes, and infrastructure as code with Terraform.
• Set up and maintain CI/CD pipelines using tools like GitHub Actions or Azure DevOps.
• Design and optimize database schemas using PostgreSQL, MongoDB, and Redis.
• Collaborate with cross-functional teams in an agile environment to deliver high-quality features on time.
• Troubleshoot, debug, and improve application performance and security.
• Take full ownership of assigned modules/features and contribute to technical planning and architecture discussions.

Must-Have Qualifications

• Strong hands-on experience with Python and at least one backend framework such as FastAPI, Django, or Flask, Node.js .
• Proficiency in frontend development using React.js and Next.js
• Experience in building and consuming RESTful APIs
• Solid understanding of database design and queries using PostgreSQL, MongoDB, and Redis
• Practical experience with cloud platforms, preferably Azure, or AWS
• Familiarity with containerization and orchestration tools like Docker and Kubernetes
• Working knowledge of Infrastructure as Code (IaC) using Terraform
• Experience with CI/CD pipelines using GitHub Actions or Azure DevOps
• Ability to work in an agile development environment with cross-functional teams
• Strong problem-solving, debugging, and communication skills
• Start-up experience preferred – ability to manage ambiguity, rapid iterations, and hands-on leadership.

Technical Stack

• Frontend: React.js, Next.js
• Backend: Python, FastAPI, Django, Spring Boot, Node.js
• DevOps & Cloud: Azure (preferred), AWS, Docker, Kubernetes, Terraform
• CI/CD: GitHub Actions, Azure DevOps
• Databases: PostgreSQL, MongoDB, Redis

Perks & Benefits

• Competitive compensation with performance incentives
• High-impact role in a product-driven, fast-moving environment
• Opportunity to lead mission-critical software and AI initiatives
• Flexible work culture, learning support, and health benefits

We are seeking a highly skilled and motivated Python Developer with hands-on experience in AWS cloud services (Lambda, API Gateway, EC2), microservices architecture, PostgreSQL, and Docker. The ideal candidate will be responsible for designing, developing, deploying, and maintaining scalable backend services and APIs, with a strong emphasis on cloud-native solutions and containerized environments.

Key Responsibilities:

• Develop and maintain scalable backend services using Python (Flask, FastAPI, or Django).
• Design and deploy serverless applications using AWS Lambda and API Gateway.
• Build and manage RESTful APIs and microservices.
• Implement CI/CD pipelines for efficient and secure deployments.
• Work with Docker to containerize applications and manage container lifecycles.
• Develop and manage infrastructure on AWS (including EC2, IAM, S3, and other related services).
• Design efficient database schemas and write optimized SQL queries for PostgreSQL.
• Collaborate with DevOps, front-end developers, and product managers for end-to-end delivery.
• Write unit, integration, and performance tests to ensure code reliability and robustness.
• Monitor, troubleshoot, and optimize application performance in production environments.

Required Skills:

• Strong proficiency in Python and Python-based web frameworks.
• Experience with AWS services: Lambda, API Gateway, EC2, S3, CloudWatch.
• Sound knowledge of microservices architecture and asynchronous programming.
• Proficiency with PostgreSQL, including schema design and query optimization.
• Hands-on experience with Docker and containerized deployments.
• Understanding of CI/CD practices and tools like GitHub Actions, Jenkins, or CodePipeline.
• Familiarity with API documentation tools (Swagger/OpenAPI).
• Version control with Git.

Backend Engineer - Python

Location

Bangalore, India

Experience Required

2-3 years minimum

Job Overview

We are seeking a skilled Backend Engineer with expertise in Python to join our engineering team. The ideal candidate will have hands-on experience building and maintaining enterprise-level, scalable backend systems.

Key Requirements

Technical Skills

    CS fundamentals are must (CN, DBMS, OS, System Design, OOPS) • Python Expertise: Advanced proficiency in Python with deep understanding of frameworks like Django, FastAPI, or Flask

• Database Management: Experience with PostgreSQL, MySQL, MongoDB, and database optimization

• API Development: Strong experience in designing and implementing RESTful APIs and GraphQL

• Cloud Platforms: Hands-on experience with AWS, GCP, or Azure services

• Containerization: Proficiency with Docker and Kubernetes

• Message Queues: Experience with Redis, RabbitMQ, or Apache Kafka

• Version Control: Advanced Git workflows and collaboration

Experience Requirements

• Minimum 2-3 years of backend development experience

• Proven track record of working on enterprise-level applications

• Experience building scalable systems handling high traffic loads

• Background in microservices architecture and distributed systems

• Experience with CI/CD pipelines and DevOps practices

Responsibilities

• Design, develop, and maintain robust backend services and APIs

• Optimize application performance and scalability

• Collaborate with frontend teams and product managers

• Implement security best practices and data protection measures

• Write comprehensive tests and maintain code quality

• Participate in code reviews and architectural discussions

• Monitor system performance and troubleshoot production issues

Preferred Qualifications

• Knowledge of caching strategies (Redis, Memcached)

• Understanding of software architecture patterns

• Experience with Agile/Scrum methodologies

• Open source contributions or personal projects

Location: Hybrid/ Remote

Type: Contract / Full‑Time

Experience: 5+ Years

Qualification: Bachelor’s or Master’s in Computer Science or a related technical field

Responsibilities:

• Architect & implement the RAG pipeline: embeddings ingestion, vector search (MongoDB Atlas or similar), and context-aware chat generation.
• Design and build Python‑based services (FastAPI) for generating and updating embeddings.
• Host and apply LoRA/QLoRA adapters for per‑user fine‑tuning.
• Automate data pipelines to ingest daily user logs, chunk text, and upsert embeddings into the vector store.
• Develop Node.js/Express APIs that orchestrate embedding, retrieval, and LLM inference for real‑time chat.
• Manage vector index lifecycle and similarity metrics (cosine/dot‑product).
• Deploy and optimize on AWS (Lambda, EC2, SageMaker), containerization (Docker), and monitoring for latency, costs, and error rates.
• Collaborate with frontend engineers to define API contracts and demo endpoints.
• Document architecture diagrams, API specifications, and runbooks for future team onboarding.

Required Skills

• Strong Python expertise (FastAPI, async programming).
• Proficiency with Node.js and Express for API development.
• Experience with vector databases (MongoDB Atlas Vector Search, Pinecone, Weaviate) and similarity search.
• Familiarity with OpenAI’s APIs (embeddings, chat completions).
• Hands‑on with parameters‑efficient fine‑tuning (LoRA, QLoRA, PEFT/Hugging Face).
• Knowledge of LLM hosting best practices on AWS (EC2, Lambda, SageMaker).

Containerization skills (Docker):

• Good understanding of RAG architectures, prompt design, and memory management.
• Strong Git workflow and collaborative development practices (GitHub, CI/CD).

Nice‑to‑Have:

• Experience with Llama family models or other open‑source LLMs.
• Familiarity with MongoDB Atlas free tier and cluster management.
• Background in data engineering for streaming or batch processing.
• Knowledge of monitoring & observability tools (Prometheus, Grafana, CloudWatch).
• Frontend skills in React to prototype demo UIs.

Job Description:

Title : Python AWS Developer with API

Tech Stack : AWS API gateway, Lambda functionality, Oracle RDS, SQL & database management, (OOPS) principles, Java script, Object relational Mapper, Git, Docker, Java dependency management, CI/CD, AWS cloud & S3, Secret Manager, Python, API frameworks, well-versed with Front and back end programming (python).

Responsibilities: 

·      Worked on building high-performance APIs using AWS services and Python. Python coding, debugging programs and integrating app with third party web services.

·      Troubleshoot and debug non-prod defects, back-end development, API, main focus on coding and monitoring applications.

·      Core application logic design.

·      Supports dependency teams in UAT testing and perform functional application testing which includes postman testing

🔍 Job Description:

We are looking for an experienced and highly skilled Technical Lead to guide the development and enhancement of a large-scale Data Observability solution built on AWS. This platform is pivotal in delivering monitoring, reporting, and actionable insights across the client's data landscape.

The Technical Lead will drive end-to-end feature delivery, mentor junior engineers, and uphold engineering best practices. The position reports to the Programme Technical Lead / Architect and involves close collaboration to align on platform vision, technical priorities, and success KPIs.

🎯 Key Responsibilities:

• Lead the design, development, and delivery of features for the data observability solution.
• Mentor and guide junior engineers, promoting technical growth and engineering excellence.
• Collaborate with the architect to align on platform roadmap, vision, and success metrics.
• Ensure high quality, scalability, and performance in data engineering solutions.
• Contribute to code reviews, architecture discussions, and operational readiness.

🔧 Primary Must-Have Skills (Non-Negotiable):

• 5+ years in Data Engineering or Software Engineering roles.
• 3+ years in a technical team or squad leadership capacity.
• Deep expertise in AWS Data Services: Glue, EMR, Kinesis, Lambda, Athena, S3.
• Advanced programming experience with PySpark, Python, and SQL.
• Proven experience in building scalable, production-grade data pipelines on cloud platforms.

Required skills / knowledge

• Experienced in software development and proficient in one or more of the following

programming languages - Python, JAVA and/or Perl.

• Experience with SDLC (software development lifecycle) best practices with large software

development projects is a must.

• Good knowledge in Computer Science fundamental

• Good organizational and English communication skills, prioritization of multiple projects and

objective.

Preferred skills / knowledge:

• Knowledge of storage technologies and disciplines namely, Fibre Channel, ISCSI, SCSI, NFS, CIFS,

POSIX, Object Storage, SAS, SATA, FLASH (NVME, SSD, etc.), RAID, Erasure Coding,

Distributed/Scale-out Storage, File systems, High-availability methods, working knowledge of

databases etc. are strongly preferred. Understanding networking protocols and connectivity

preferred.

• System Architecture experience within enterprise UNIX (RHEL)/Windows Server environments,

Container environments (RH Open Shift/Kubernetes/Docker, etc.) and Cloud environments

(Azure/AWS/Google) is highly desirable but not required.

• Understanding of Client/Server, Scaleout architectures, virtualization, performance and capacity

management strongly preferred.

• Good knowledge and experience of using Linux provisioning and system configuration

management tools such as Ansible, Puppet, Salt Stack, or Chef strongly preferred. Experience in

automation of a large-scale Linux deployment is preferred.

• Effective troubleshooting skills across O/S, network and storage.

• Knowledge in the following vendor products is preferred but not required: NetApp

7mode/cDOT/Engenio, IBM Spectrum Scale (aka GPFS), HDS Storage Arrays/HCP, EMC Atmos,

Brocade SAN/FOS, Veritas Storage Foundation Suite

• 5+ years of experience
• FlaskAPI, RestAPI development experience
• Proficiency in Python programming.
• Basic knowledge of front-end development.
• Basic knowledge of Data manipulation and analysis libraries
• Code versioning and collaboration. (Git)
• Knowledge for Libraries for extracting data from websites.
• Knowledge of SQL and NoSQL databases
• Familiarity with RESTful APIs
• Familiarity with Cloud (Azure /AWS) technologies

Mode of Hire: Permanent

Required Skills Set (Mandatory): Linux, Shell Scripting, Python, AWS, Security best practices, Git

Desired Skills (Good if you have): Ansible, Terraform

Job Responsibilities

• Design, develop, and maintain deployment pipelines and automation tooling to improve platform efficiency, scalability, and reliability.
• Manage infrastructure and services in production AWS environments.
• Drive platform improvements with a focus on security, scalability, and operational excellence.
• Collaborate with engineering teams to enhance development tooling, streamline access workflows, and improve platform usability through feedback.
• Mentor junior engineers and help foster a culture of high-quality engineering and knowledge sharing.

Job Requirements

• Strong foundational understanding of Linux systems.
• Cloud experience (e.g., AWS) with strong problem-solving in cloud-native environments.
• Proven track record of delivering robust, well-documented, and secure automation solutions.
• Comfortable owning end-to-end delivery of infrastructure components and tooling.

Preferred Qualifications

• Advanced system and cloud optimization skills.
• Prior experience in platform teams or DevOps roles at product-focused startups.
• Demonstrated contributions to internal tooling, open-source, or automation projects.

What We’re Looking For:

• Strong experience in Python (5+ years).
• Hands-on experience with any database (SQL or NoSQL).
• Experience with frameworks like Flask, FastAPI, or Django.
• Knowledge of ORMs, API development, and unit testing

Technical Expertise

• Advanced proficiency in Python
• Expertise in Deep Learning Frameworks: PyTorch and TensorFlow
• Experience with Computer Vision Models:
• YOLO (Object Detection)
• UNet, Mask R-CNN (Segmentation)
• Deep SORT (Object Tracking)

Real-Time & Deployment Skills

• Real-time video analytics and inference optimization
• Model pipeline development using:
• Docker
• Git
• MLflow or similar tools
• Image processing proficiency: OpenCV, NumPy
• Deployment experience on Linux-based GPU systems and edge devices (Jetson Nano, Google Coral, etc.)

Professional Background

• Minimum 4+ years of experience in AI/ML, with a strong focus on Computer Vision and System-Level Design
• Educational qualification: B.E./B.Tech/M.Tech in Computer Science, Electrical Engineering, or a related field
• Strong project portfolio or experience in production-level deployments

Role: Python Developer

Location: HYD , BLR,

Experience : 6+ Years

Skills needed:

Python developer experienced 5+ Years in designing, developing, and maintaining scalable applications with a strong focus on API integration. Must demonstrate proficiency in RESTful API consumption, third-party service integration, and troubleshooting API-related issues.