50+ Python Jobs in India

Review Criteria

• Strong MLOps profile
• 8+ years of DevOps experience and 4+ years in MLOps / ML pipeline automation and production deployments
• 4+ years hands-on experience in Apache Airflow / MWAA managing workflow orchestration in production
• 4+ years hands-on experience in Apache Spark (EMR / Glue / managed or self-hosted) for distributed computation
• Must have strong hands-on experience across key AWS services including EKS/ECS/Fargate, Lambda, Kinesis, Athena/Redshift, S3, and CloudWatch
• Must have hands-on Python for pipeline & automation development
• 4+ years of experience in AWS cloud, with recent companies
• (Company) - Product companies preferred; Exception for service company candidates with strong MLOps + AWS depth

Preferred

• Hands-on in Docker deployments for ML workflows on EKS / ECS
• Experience with ML observability (data drift / model drift / performance monitoring / alerting) using CloudWatch / Grafana / Prometheus / OpenSearch.
• Experience with CI / CD / CT using GitHub Actions / Jenkins.
• Experience with JupyterHub/Notebooks, Linux, scripting, and metadata tracking for ML lifecycle.
• Understanding of ML frameworks (TensorFlow / PyTorch) for deployment scenarios.

Job Specific Criteria

• CV Attachment is mandatory
• Please provide CTC Breakup (Fixed + Variable)?
• Are you okay for F2F round?
• Have candidate filled the google form?

Role & Responsibilities

We are looking for a Senior MLOps Engineer with 8+ years of experience building and managing production-grade ML platforms and pipelines. The ideal candidate will have strong expertise across AWS, Airflow/MWAA, Apache Spark, Kubernetes (EKS), and automation of ML lifecycle workflows. You will work closely with data science, data engineering, and platform teams to operationalize and scale ML models in production.

Key Responsibilities:

• Design and manage cloud-native ML platforms supporting training, inference, and model lifecycle automation.
• Build ML/ETL pipelines using Apache Airflow / AWS MWAA and distributed data workflows using Apache Spark (EMR/Glue).
• Containerize and deploy ML workloads using Docker, EKS, ECS/Fargate, and Lambda.
• Develop CI/CT/CD pipelines integrating model validation, automated training, testing, and deployment.
• Implement ML observability: model drift, data drift, performance monitoring, and alerting using CloudWatch, Grafana, Prometheus.
• Ensure data governance, versioning, metadata tracking, reproducibility, and secure data pipelines.
• Collaborate with data scientists to productionize notebooks, experiments, and model deployments.

Ideal Candidate

• 8+ years in MLOps/DevOps with strong ML pipeline experience.
• Strong hands-on experience with AWS:
• Compute/Orchestration: EKS, ECS, EC2, Lambda
• Data: EMR, Glue, S3, Redshift, RDS, Athena, Kinesis
• Workflow: MWAA/Airflow, Step Functions
• Monitoring: CloudWatch, OpenSearch, Grafana
• Strong Python skills and familiarity with ML frameworks (TensorFlow/PyTorch/Scikit-learn).
• Expertise with Docker, Kubernetes, Git, CI/CD tools (GitHub Actions/Jenkins).
• Strong Linux, scripting, and troubleshooting skills.
• Experience enabling reproducible ML environments using Jupyter Hub and containerized development workflows.

Education:

• Master’s degree in computer science, Machine Learning, Data Engineering, or related field.

Job Summary

We are seeking an experienced Databricks Developer with strong skills in PySpark, SQL, Python, and hands-on experience deploying data solutions on AWS (preferred), Azure. The role involves designing, developing, and optimizing scalable data pipelines and analytics workflows on the Databricks platform.

Key Responsibilities

- Develop and optimize ETL/ELT pipelines using Databricks and PySpark.

- Build scalable data workflows on AWS (EC2, S3, Glue, Lambda, IAM) or Azure (ADF, ADLS, Synapse).

- Implement and manage Delta Lake (ACID, schema evolution, time travel).

- Write efficient, complex SQL for transformation and analytics.

- Build and support batch and streaming ingestion (Kafka, Kinesis, EventHub).

- Optimize Databricks clusters, jobs, notebooks, and PySpark performance.

- Collaborate with cross-functional teams to deliver reliable data solutions.

- Ensure data governance, security, and compliance.

- Troubleshoot pipelines and support CI/CD deployments.

Required Skills & Experience

- 4–8 years in Data Engineering / Big Data development.

- Strong hands-on experience with Databricks (clusters, jobs, workflows).

- Advanced PySpark and strong Python skills.

- Expert-level SQL (complex queries, window functions).

- Practical experience with AWS (preferred) or Azure cloud services.

- Experience with Delta Lake, Parquet, and data lake architectures.

- Familiarity with CI/CD tools (GitHub Actions, Azure DevOps, Jenkins).

- Good understanding of data modeling, optimization, and distributed systems.

About US:-

We turn customer challenges into growth opportunities.

Material is a global strategy partner to the world’s most recognizable brands and innovative companies. Our people around the globe thrive by helping organizations design and deliver rewarding customer experiences.

We use deep human insights, design innovation and data to create experiences powered by modern technology. Our approaches speed engagement and growth for the companies we work with and transform relationships between businesses and the people they serve.

Srijan, a Material company, is a renowned global digital engineering firm with a reputation for solving complex technology problems using their deep technology expertise and leveraging strategic partnerships with top-tier technology partners.

Experience Range: 5-10 Years

Role: Full Stack Developer

Key Responsibilities:

• Develop and maintain scalable web applications using React for frontend and Python (fast API/Flask/Django) for backend.
• Work with databases such as SQL, Postgres and MongoDB to design and manage robust data structures.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Ensure the performance, quality, and responsiveness of applications.
• Identify and fix bottlenecks and bugs.

·      Others: AWS, Snowflake, Azure, JIRA, CI/CD pipelines 

Key Requirements:

• React: Extensive experience in building complex frontend applications.
• Must to Have: Experience with Python (FAST API/ FLASK/ DJANGO).
• Required cloud experience – AWS OR Azure
• Experience with databases like SQL Postgres and MongoDB.
• Basic understanding of Data Fabric – Good to have
• Ability to work independently and as part of a team.
• Excellent problem-solving skills and attention to detail.

Frontend Technology Stack (Developers)

• Framework: React 18+ with TypeScript, Next.js
• State Management: Redux Toolkit with RTK Query for efficient data fetching
• UI Components: Material-UI v5 with custom enterprise design system
• Visualization: D3.js, Chart.js, and Plotly for advanced analytics dashboards
• Accessibility: WCAG 2.1 AA compliance with automated testing

Backend Technology Stack (Developers)

• Microservices: Python, Node.js ( latest) with Express.js and TypeScript
• API Gateway: API Gateway with rate limiting and authentication
• Message Queuing: Apache Kafka for real-time data streaming
• Caching: Redis Cluster for high-performance caching layer
• Search Engine: Elasticsearch for full-text search and analytics
• Authentication: OAuth 2.0 / OpenID Connect with enterprise SSO integration

 What We Offer 

•  Professional Development and Mentorship.
•  Hybrid work mode with remote friendly workplace. (6 times in a row Great Place To Work Certified).
•  Health and Family Insurance.
•  40+ Leaves per year along with maternity & paternity leaves.
•  Wellness, meditation and Counselling sessions.

Hello Candidate,

Greetings from Suventure!

PLease find the Job description below.

Job Title: Senior Python Developer (with or without Rust API experience)

Location: Bangalore, India

Company: Suventure Services Pvt. Ltd.

Work Mode: Work From Office (WFO)

Experience: 5+ Years

About Suventure Services Pvt. Ltd.

Suventure is a technology-driven organization delivering end-to-end solutions across Product Development, Cloud, AI, Analytics, and Mobility. We work with global clients to build innovative, scalable, and secure applications that power digital transformation and business growth.

Job Summary

We are seeking a highly skilled and motivated Python Developer with over 5 years of hands-on experience in backend development, API design, and scalable application architecture. Candidates with exposure to Rust API development will have an added advantage, though it is not mandatory. You’ll collaborate closely with cross-functional teams to deliver high-quality, performant, and maintainable code.

Key Responsibilities

• Design, develop, and maintain scalable backend applications using Python (Flask / FastAPI / Django).
• Develop RESTful or GraphQL APIs and ensure seamless data integration between systems.
• Work on microservices architecture and implement clean, modular, and testable code.
• Optimize application performance, ensuring high availability and responsiveness.
• Collaborate with DevOps, frontend, and product teams for feature development and release cycles.
• Participate in code reviews, troubleshooting, debugging, and system enhancements.
• (Optional) Integrate and maintain APIs written in Rust or other high-performance languages.
• Write automated unit tests and follow best practices for CI/CD and version control (Git).

Required Skills & Experience

• Minimum 5 years of professional experience in Python development.
• Strong understanding of OOPs, design patterns, Data structures and software engineering principles.
• Hands-on experience with frameworks such as Flask, Django, or FastAPI.
• Experience with RESTful APIs, microservices, and asynchronous programming.
• Good understanding of SQL/NoSQL databases (MySQL, PostgreSQL, MongoDB, Redis).
• Knowledge of Docker, Kubernetes, or AWS Cloud Services is a plus.
• Familiarity with Rust and its API ecosystem is an added advantage.
• Excellent problem-solving skills and ability to work in a fast-paced environment.
• 
  

About the Role

We are looking for highly motivated React Fresher Developers who are passionate about building modern, scalable web applications. If you have completed a full-stack or React development course and are eager to apply your skills in real-world projects, we would love to hear from you.

This role is ideal for individuals who are proactive, eager to learn, and ready to contribute to dynamic, collaborative teams.

Mandatory Requirements

Completed a 6-month structured certification program in one of the following:

• Full-Stack Development (MERN / MEAN / Django + React)
• React.js Development

Solid understanding of:

• React fundamentals (Hooks, Props, State, Components)
• Modern JavaScript (ES6+)
• REST APIs and asynchronous data handling
• Git / GitHub (basic usage acceptable)
• At least one completed academic or internship project demonstrating your coding skills.

Preferred / Bonus Advantage

Experience with chatbots or AI-powered conversational interfaces is a plus. This could include:

• Platforms / frameworks like Dialogflow, RASA, IBM Watson, Botpress, or OpenAI API
• Custom chatbot development using Node.js or Python
• A project demonstrating chatbot integration or implementation

Note: A chatbot-related project or feature will be considered a strong plus.

Responsibilities

• Develop responsive and interactive UI components using React.js and modern front-end technologies
• Collaborate with backend teams to integrate APIs and contribute to product features
• Participate in code reviews, testing, and deployment processes
• Continuously explore, learn, and implement new technologies and best practices

NOTE: Laptop with high speed internet is mandatory and the candidate must be based in Chennai.

About Newpage Solutions

Newpage Solutions is a global digital health innovation company helping people live longer, healthier lives. We partner with life sciences organizations—including pharmaceutical, biotech, and healthcare leaders—to build transformative AI and data-driven technologies addressing real-world health challenges.

From strategy and research to UX design and agile development, we deliver and validate impactful solutions using lean, human-centered practices.

We are proud to be Great Place to Work® certified for three consecutive years, hold a top Glassdoor rating, and were named among the Top 50 Most Promising Healthcare Solution Providers by CIOReview.

We foster creativity, continuous learning, and inclusivity, creating an environment where bold ideas thrive and make a measurable difference in people’s lives.

Newpage looks for candidates who are invested in long-term impact. Applications with a pattern of frequent job changes may not align with the values we prioritize.

Your Mission

We are looking for a highly experienced and technically astute AI/ML Developer to spearhead the design and development of cutting-edge Generative AI and agent-based systems. This role demands deep expertise in Python development, a strong command of SOLID principles, and a proven ability to architect and scale production-grade AI systems.

As an individual contributor, you will take full ownership of key initiatives—from ideation to deployment—working hands-on with LLMs, vector databases, orchestration frameworks, and modern MLOps practices. You will collaborate with cross-functional teams while driving technical excellence, fast execution, and innovation at scale.

This is a high-impact, leadership-track role for someone who thrives on autonomy, excels under pressure, and consistently delivers high-quality, maintainable solutions in a rapidly evolving AI landscape.

What You’ll Do

• Design, architect, and implement state-of-the-art Generative AI applications and agentic systems using frameworks such as LangChain, LlamaIndex, or custom orchestration layers.
• Seamlessly integrate large language models (e.g., GPT-4, Claude, Mistral) into production workflows, tools, or customer-facing applications.
• Build scalable, reliable, and high-performance backend systems using Python and modern frameworks to power GenAI-driven features.
• Take ownership of prompt engineering, tool usage, and long/short-term memory management to develop intelligent and context-aware agents.
• Deliver high-quality results rapidly by leveraging Cursor and other AI-assisted “vibe coding” environments for fast development, iteration, and debugging.
• Use vibe coding tools effectively to accelerate delivery, reduce development friction, and fix bugs quickly with minimal overhead.
• Participate in and lead the entire SDLC—from requirements analysis and architectural design to development, testing, deployment, and maintenance.
• Write clean, modular, well-tested, and maintainable code following best practices, including SOLID principles and proper documentation.
• Proactively identify and resolve system-level issues, performance bottlenecks, and edge cases through deep debugging and optimization.
• Collaborate closely with product, design, QA, and ML teams to iterate quickly and deliver production-ready features.
• Execute end-to-end implementations and POCs of agentic AI frameworks to validate ideas, de-risk features, and guide strategic product development.
• Contribute to internal tools, libraries, or workflows that enhance development speed, reliability, and productivity.

What You Bring

Extensive Python Expertise

• Hands-on Python development experience with emphasis on clean, maintainable, scalable code.

Software Design Principles

• Mastery of OOP, SOLID principles, and design patterns.
• Proven experience in designing and leading complex software architectures.

GenAI Frameworks

• Practical experience with LangChain, LlamaIndex, or similar agent orchestration libraries.

LLM Integration

• Hands-on experience with APIs from OpenAI, Anthropic, Cohere, or similar providers.

Prompt Engineering

• Strong understanding of prompt design, refinement, and optimization.

RAG Systems

• Experience architecting and implementing Retrieval Augmented Generation solutions.

Vector Databases

• Exposure to FAISS, Pinecone, Weaviate, or similar semantic retrieval tools.

NLP/ML Knowledge

• Solid foundation in NLP and core machine learning concepts.

Cloud & Deployment

• Experience with AWS, GCP, or Azure for deploying GenAI solutions at scale.

Containerization & Orchestration

• Proficient with Docker; working knowledge of Kubernetes.

MLOps / LLMOps Tools

• Experience with MLflow, Weights & Biases, or equivalent platforms.

Semantic Search / Knowledge Graphs

• Exposure to knowledge graphs, ontologies, and semantic search technologies.

Development Lifecycle

• Strong understanding of SDLC, Git-based version control, CI/CD pipelines, and Agile methodologies.

What We Offer

At Newpage, we’re building a company that works smart and grows with agility—where driven individuals come together to do work that matters.

• A people-first culture: Supportive peers, open communication, and a strong sense of belonging.
• Smart, purposeful collaboration: Work with talented colleagues to create technologies that solve meaningful business challenges.
• Balance that lasts: Respect for your time and a healthy integration of work and life.
• Room to grow: Opportunities for learning, leadership, and career development tailored to you.
• Meaningful rewards: Competitive compensation recognizing both contribution and potential.

About Newpage Solutions

Newpage Solutions is a global digital health innovation company helping people live longer, healthier lives. We partner with life sciences organizations—including pharmaceutical, biotech, and healthcare leaders—to build transformative AI and data-driven technologies addressing real-world health challenges.

From strategy and research to UX design and agile development, we deliver and validate impactful solutions using lean, human-centered practices.

We are proud to be Great Place to Work® certified for three consecutive years, hold a top Glassdoor rating, and were named among the "Top 50 Most Promising Healthcare Solution Providers" by CIOReview.

We foster creativity, continuous learning, and inclusivity, creating an environment where bold ideas thrive and make a measurable difference in people’s lives.

Newpage looks for candidates who are invested in long-term impact. Applications with a pattern of frequent job changes may not align with the values we prioritize.

Your Mission

We’re seeking a highly experienced, technically exceptional AI Development Lead to architect and deliver next-generation Generative AI and Agentic systems. You will drive end-to-end innovation—from model selection and orchestration design to scalable backend implementation—while collaborating with cross-functional teams to transform AI research into production-ready solutions.

This is an individual-contributor leadership role for someone who thrives on ownership, fast execution, and technical excellence. You will define the standards for quality, scalability, and innovation across all AI initiatives.

What You’ll Do

• Architect, build, and optimize production-grade Generative AI applications using modern frameworks such as LangChain, LlamaIndex, Semantic Kernel, or custom orchestration layers.
• Lead the design of Agentic AI frameworks (Agno, AutoGen, CrewAI, etc.), enabling intelligent, goal-driven workflows with memory, reasoning, and contextual awareness.
• Develop and deploy Retrieval-Augmented Generation (RAG) systems integrating LLMs, vector databases, and real-time data pipelines.
• Design robust prompt engineering and refinement frameworks to improve reasoning quality, adaptability, and user relevance.
• Deliver high-performance backend systems using Python (FastAPI, Flask, or similar) aligned with SOLID principles, OOP, and clean architecture.
• Own the complete SDLC, including design, implementation, code reviews, testing, CI/CD, observability, and post-deployment monitoring.
• Use AI-assisted environments (e.g., Cursor, GitHub Copilot, Claude Code) to accelerate development while maintaining code quality and maintainability.
• Collaborate closely with MLOps engineers to containerize, scale, and deploy models using Docker, Kubernetes, and modern CI/CD pipelines.
• Integrate APIs from OpenAI, Anthropic, Cohere, Mistral, or open-source LLMs (Llama 3, Mixtral, etc.).
• Leverage VectorDB such as FAISS, Pinecone, Weaviate, or Chroma for semantic search, RAG, and context retrieval.
• Develop custom tools, libraries, and frameworks that improve development velocity and reliability across AI teams.
• Partner with Product, Design, and ML teams to translate conceptual AI features into scalable user-facing products.
• Provide technical mentorship and guide team members in system design, architecture reviews, and AI best practices.
• Lead POCs, internal research experiments, and innovation sprints to explore and validate emerging AI techniques.

What You Bring

• 8+ years of total experience in software development, with at least 3 years in AI/ML systems engineering or Generative AI.
• Python experience with strong grasp of OOP, SOLID, and scalable microservice architecture.
• Proven track record developing and deploying GenAI/LLM-based systems in production.
• Hands-on work with LangChain, LlamaIndex, or custom orchestration frameworks.
• Deep familiarity with OpenAI, Anthropic, Hugging Face, or open-source LLM APIs.
• Advanced understanding of prompt construction, optimization, and evaluation techniques.
• End-to-end implementation experience using vector databases and retrieval pipelines.
• Understanding of MLOps, model serving, scaling, and monitoring workflows (e.g., BentoML, MLflow, Vertex AI, AWS Sagemaker).
• Experience with GitHub Actions, Docker, Kubernetes, and cloud-native deployments.
• Are obsessed with clean code, system scalability, and performance optimization.
• Can balance rapid prototyping with long-term maintainability.
• Excel at working independently while collaborating effectively across teams.
• Stay ahead of the curve on new AI models, frameworks, and best practices.
• Have a founder’s mindset and love solving ambiguous, high-impact technical challenges.
• Bachelor’s or Master’s in Computer Science, Machine Learning, or a related technical discipline.

What We Offer

At Newpage, we’re building a company that works smart and grows with agility—where driven individuals come together to do work that matters. We offer:

• A people-first culture – Supportive peers, open communication, and a strong sense of belonging.
• Smart, purposeful collaboration – Work with talented colleagues to create technologies that solve meaningful business challenges.
• Balance that lasts – We respect your time and support a healthy integration of work and life.
• Room to grow – Opportunities for learning, leadership, and career development, shaped around you.
• Meaningful rewards – Competitive compensation that recognizes both contribution and potential.

Hiring for Python Automation + Selenium

Exp : 5 - 10 yrs

Work Location : Pune / Trivandrum

Work from Office

Notice Period : Immediate - 15 days

Skills :

Exp with automated testing frameworks (Selenium, TestNG, JUnit).

Proficiency in scripting languages such as Python, JavaScript, or Shell scripting.

Experience using issue tracking and reporting tools such as JIRA.

We are seeking a Technical Lead with strong expertise in backend engineering, real-time data streaming, and platform/infrastructure development to lead the architecture and delivery of our on-premise systems.

You will design and build high-throughput streaming pipelines (Apache Pulsar, Apache Flink), backend services (FastAPI), data storage models (MongoDB, ClickHouse), and internal dashboards/tools (Angular).

In this role, you will guide engineers, drive architectural decisions, and ensure reliable systems deployed on Docker + Kubernetes clusters.

Key Responsibilities

1. Technical Leadership & Architecture

• Own the end-to-end architecture for backend, streaming, and data systems.
• Drive system design decisions for ingestion, processing, storage, and DevOps.
• Review code, enforce engineering best practices, and ensure production readiness.
• Collaborate closely with founders and domain experts to translate requirements into technical deliverables.

2. Data Pipeline & Streaming Systems

• Architect and implement real-time, high-throughput data pipelines using Apache Pulsar and Apache Flink.
• Build scalable ingestion, enrichment, and stateful processing workflows.
• Integrate multi-sensor maritime data into reliable, unified streaming systems.

3. Backend Services & Platform Engineering

• Lead development of microservices and internal APIs using FastAPI (or equivalent backend frameworks).
• Build orchestration, ETL, and system-control services.
• Optimize backend systems for latency, throughput, resilience, and long-term maintainability.

4. Data Storage & Modeling

• Design scalable, efficient data models using MongoDB, ClickHouse, and other on-prem databases.
• Implement indexing, partitioning, retention, and lifecycle strategies for large datasets.
• Ensure high-performance APIs and analytics workflows.

5. Infrastructure, DevOps & Containerization

• Deploy and manage distributed systems using Docker and Kubernetes.
• Own observability, monitoring, logging, and alerting for all critical services.
• Implement CI/CD pipelines tailored for on-prem and hybrid cloud environments.

6. Team Management & Mentorship

• Provide technical guidance to engineers across backend, data, and DevOps teams.
• Break down complex tasks, review designs, and ensure high-quality execution.
• Foster a culture of clarity, ownership, collaboration, and engineering excellence.

Required Skills & Experience

• 5–10+ years of strong software engineering experience.
• Expertise with streaming platforms like Apache Pulsar, Apache Flink, or similar technologies.
• Strong backend engineering proficiency — preferably FastAPI, Python, Java, or Scala.
• Hands-on experience with MongoDB and ClickHouse.
• Solid experience deploying, scaling, and managing services on Docker + Kubernetes.
• Strong understanding of distributed systems, high-performance data flows, and system tuning.
• Experience working with Angular for internal dashboards is a plus.
• Excellent system-design, debugging, and performance-optimization skills.
• Prior experience owning critical technical components or leading engineering teams.

Nice to Have

• Experience with sensor data (AIS, Radar, SAR, EO/IR).
• Exposure to maritime, defence, or geospatial technology.
• Experience with bare-metal / on-premise deployments.

Designation: Software Development Team Lead (Full-Stack)

Location: Bangalore/Bhopal

Package: 8LPA to 15 LPA

Job Type: Full Time

Experience: 6 to 10+

Job Title: Software Development Team Lead (Full-Stack)

We are seeking an experienced Software Development Team Lead with strong capabilities in handling frontend, backend, and full-stack development teams across multiple technologies. The ideal candidate will have hands-on experience in Python, Next.js, and other modern tech stacks, along with the ability to guide a diverse development team, ensure high-quality delivery, and drive end-to-end project execution.

Key Responsibilities

Team Leadership & Multi-Tech Management

• Lead and manage a team of developers working across frontend, backend, and full-stack technologies.
• Provide technical direction, conduct code reviews, and mentor team members.
• Allocate tasks based on strengths (UI, backend, APIs, DevOps, etc.) and ensure balanced workload.
• Foster a collaborative, innovative, and high-performance engineering culture.

Full-Stack Technical Contribution

• Work hands-on with Python (backend) and Next.js/React (frontend).
• Guide teams on best practices across UI development, API design, database architecture, and deployment.
• Ensure scalable, secure, and maintainable code across all layers of the product.
• Troubleshoot complex issues across frontend, backend, microservices, and integrations.

Project Execution & Delivery

• Manage end-to-end project lifecycle—from planning to development, testing, and deployment.
• Coordinate with Product, QA, UX/UI, DevOps, and Management teams.
• Drive sprint planning, task estimation, and timeline adherence.
• Improve delivery speed and quality through automation, CI/CD, and structured workflows.

Cross-Functional Collaboration

• Translate business requirements into technical specifications.
• Communicate project updates, challenges, and solutions to stakeholders.
• Collaborate with designers, product managers, and other engineering units.

Process Improvement

• Define and implement coding standards, architecture guidelines, and development processes.
• Introduce new technologies and best practices for continuous improvement.
• Promote efficient workflows, documentation, and team knowledge-sharing.

Required Skills & Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 6–10+ years of strong software development experience.
• Proven experience leading full-stack development teams.
• Hands-on expertise in:
• Backend: Python (Django, Flask, FastAPI), API development
• Frontend: Next.js, React, JavaScript/TypeScript
• Databases: SQL/NoSQL
• Ability to manage teams working on multiple technologies (frontend, backend, APIs, DevOps).
• Experience with cloud services (AWS/Azure/GCP).
• Strong knowledge of CI/CD, Git workflows, containers (Docker), and microservices.
• Excellent communication, leadership, and problem-solving skills.

Preferred Qualifications

• Exposure to other technologies/frameworks (Node.js, Angular, Java, .NET, PHP, etc.)
• Experience managing cross-functional engineering teams (QA, DevOps, UI/UX).
• Understanding of scalable architectures, system design, and performance optimization.

Designation: Software Development Team Lead (Full-Stack) 

Location: Bangalore/Bhopal 

Package: 8LPA to 15 LPA 

Job Type: Full Time 

Experience: 6 to 10+ 

Job Title: Software Development Team Lead (Full-Stack) 

We are seeking an experienced Software Development Team Lead with strong capabilities in handling frontend, backend, and full-stack development teams across multiple technologies. The ideal candidate will have hands-on experience in Python, Next.js, and other modern tech stacks, along with the ability to guide a diverse development team, ensure high-quality delivery, and drive end-to-end project execution. 

Key Responsibilities 

Team Leadership & Multi-Tech Management 

• Lead and manage a team of developers working across frontend, backend, and full-stack technologies. 
• Provide technical direction, conduct code reviews, and mentor team members. 
• Allocate tasks based on strengths (UI, backend, APIs, DevOps, etc.) and ensure balanced workload. 
• Foster a collaborative, innovative, and high-performance engineering culture. 

Full-Stack Technical Contribution 

• Work hands-on with Python (backend) and Next.js/React (frontend). 
• Guide teams on best practices across UI development, API design, database architecture, and deployment. 
• Ensure scalable, secure, and maintainable code across all layers of the product. 
• Troubleshoot complex issues across frontend, backend, microservices, and integrations. 

Project Execution & Delivery 

• Manage end-to-end project lifecycle—from planning to development, testing, and deployment. 
• Coordinate with Product, QA, UX/UI, DevOps, and Management teams. 
• Drive sprint planning, task estimation, and timeline adherence. 
• Improve delivery speed and quality through automation, CI/CD, and structured workflows. 

Cross-Functional Collaboration 

• Translate business requirements into technical specifications. 
• Communicate project updates, challenges, and solutions to stakeholders. 
• Collaborate with designers, product managers, and other engineering units. 

Process Improvement 

• Define and implement coding standards, architecture guidelines, and development processes. 
• Introduce new technologies and best practices for continuous improvement. 
• Promote efficient workflows, documentation, and team knowledge-sharing. 

Required Skills & Qualifications 

• Bachelor’s degree in Computer Science, Engineering, or related field. 
• 6–10+ years of strong software development experience. 
• Proven experience leading full-stack development teams. 
• Hands-on expertise in: 
• Backend: Python (Django, Flask, FastAPI), API development 
• Frontend: Next.js, React, JavaScript/TypeScript 
• Databases: SQL/NoSQL 
• Ability to manage teams working on multiple technologies (frontend, backend, APIs, DevOps). 
• Experience with cloud services (AWS/Azure/GCP). 
• Strong knowledge of CI/CD, Git workflows, containers (Docker), and microservices. 
• Excellent communication, leadership, and problem-solving skills. 

Preferred Qualifications 

• Exposure to other technologies/frameworks (Node.js, Angular, Java, .NET, PHP, etc.) 
• Experience managing cross-functional engineering teams (QA, DevOps, UI/UX). 
• Understanding of scalable architectures, system design, and performance optimization. 

Designation: Software Development Team Lead (Full-Stack)

Location: Bangalore/Bhopal

Package: 8LPA to 15 LPA

Job Type: Full Time

Experience: 6 to 10+

Job Title: Software Development Team Lead (Full-Stack)

We are seeking an experienced Software Development Team Lead with strong capabilities in handling frontend, backend, and full-stack development teams across multiple technologies. The ideal candidate will have hands-on experience in Python, Next.js, and other modern tech stacks, along with the ability to guide a diverse development team, ensure high-quality delivery, and drive end-to-end project execution.

Key Responsibilities

Team Leadership & Multi-Tech Management

• Lead and manage a team of developers working across frontend, backend, and full-stack technologies.
• Provide technical direction, conduct code reviews, and mentor team members.
• Allocate tasks based on strengths (UI, backend, APIs, DevOps, etc.) and ensure balanced workload.
• Foster a collaborative, innovative, and high-performance engineering culture.

Full-Stack Technical Contribution

• Work hands-on with Python (backend) and Next.js/React (frontend).
• Guide teams on best practices across UI development, API design, database architecture, and deployment.
• Ensure scalable, secure, and maintainable code across all layers of the product.
• Troubleshoot complex issues across frontend, backend, microservices, and integrations.

Project Execution & Delivery

• Manage end-to-end project lifecycle—from planning to development, testing, and deployment.
• Coordinate with Product, QA, UX/UI, DevOps, and Management teams.
• Drive sprint planning, task estimation, and timeline adherence.
• Improve delivery speed and quality through automation, CI/CD, and structured workflows.

Cross-Functional Collaboration

• Translate business requirements into technical specifications.
• Communicate project updates, challenges, and solutions to stakeholders.
• Collaborate with designers, product managers, and other engineering units.

Process Improvement

• Define and implement coding standards, architecture guidelines, and development processes.
• Introduce new technologies and best practices for continuous improvement.
• Promote efficient workflows, documentation, and team knowledge-sharing.

Required Skills & Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 6–10+ years of strong software development experience.
• Proven experience leading full-stack development teams.

Hands-on expertise in:

• Backend: Python (Django, Flask, FastAPI), API development
• Frontend: Next.js, React, JavaScript/TypeScript
• Databases: SQL/NoSQL
• Ability to manage teams working on multiple technologies (frontend, backend, APIs, DevOps).
• Experience with cloud services (AWS/Azure/GCP).
• Strong knowledge of CI/CD, Git workflows, containers (Docker), and microservices.
• Excellent communication, leadership, and problem-solving skills.

Preferred Qualifications

• Exposure to other technologies/frameworks (Node.js, Angular, Java, .NET, PHP, etc.)
• Experience managing cross-functional engineering teams (QA, DevOps, UI/UX).
• Understanding of scalable architectures, system design, and performance optimization.

Designation: Software Development Team Lead (Full-Stack)

Location: Bangalore/Bhopal

Package: 8LPA to 15 LPA

Job Type: Full Time

Experience: 6 to 10+

Job Title: Software Development Team Lead (Full-Stack)

We are seeking an experienced Software Development Team Lead with strong capabilities in handling frontend, backend, and full-stack development teams across multiple technologies. The ideal candidate will have hands-on experience in Python, Next.js, and other modern tech stacks, along with the ability to guide a diverse development team, ensure high-quality delivery, and drive end-to-end project execution.

Key Responsibilities

Team Leadership & Multi-Tech Management

• Lead and manage a team of developers working across frontend, backend, and full-stack technologies.
• Provide technical direction, conduct code reviews, and mentor team members.
• Allocate tasks based on strengths (UI, backend, APIs, DevOps, etc.) and ensure balanced workload.
• Foster a collaborative, innovative, and high-performance engineering culture.

Full-Stack Technical Contribution

• Work hands-on with Python (backend) and Next.js/React (frontend).
• Guide teams on best practices across UI development, API design, database architecture, and deployment.
• Ensure scalable, secure, and maintainable code across all layers of the product.
• Troubleshoot complex issues across frontend, backend, microservices, and integrations.

Project Execution & Delivery

• Manage end-to-end project lifecycle—from planning to development, testing, and deployment.
• Coordinate with Product, QA, UX/UI, DevOps, and Management teams.
• Drive sprint planning, task estimation, and timeline adherence.
• Improve delivery speed and quality through automation, CI/CD, and structured workflows.

Cross-Functional Collaboration

• Translate business requirements into technical specifications.
• Communicate project updates, challenges, and solutions to stakeholders.
• Collaborate with designers, product managers, and other engineering units.

Process Improvement

• Define and implement coding standards, architecture guidelines, and development processes.
• Introduce new technologies and best practices for continuous improvement.
• Promote efficient workflows, documentation, and team knowledge-sharing.

Required Skills & Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 6–10+ years of strong software development experience.
• Proven experience leading full-stack development teams.

Hands-on expertise in:

• Backend: Python (Django, Flask, FastAPI), API development
• Frontend: Next.js, React, JavaScript/TypeScript
• Databases: SQL/NoSQL
• Ability to manage teams working on multiple technologies (frontend, backend, APIs, DevOps).
• Experience with cloud services (AWS/Azure/GCP).
• Strong knowledge of CI/CD, Git workflows, containers (Docker), and microservices.
• Excellent communication, leadership, and problem-solving skills.

Preferred Qualifications

• Exposure to other technologies/frameworks (Node.js, Angular, Java, .NET, PHP, etc.)
• Experience managing cross-functional engineering teams (QA, DevOps, UI/UX).
• Understanding of scalable architectures, system design, and performance optimization.

Company Overview:

Virtana delivers the industry’s only unified platform for Hybrid Cloud Performance, Capacity and Cost Management. Our platform provides unparalleled, real-time visibility into the performance, utilization, and cost of infrastructure across the hybrid cloud – empowering customers to manage their mission critical applications across physical, virtual, and cloud computing environments. Our SaaS platform allows organizations to easily manage and optimize their spend in the public cloud, assure resources are performing properly through real-time monitoring, and provide the unique ability to plan migrations across the hybrid cloud. 

As we continue to expand our portfolio, we are seeking a highly skilled and hands-on Staff Software Engineer in backend technologies to contribute to the futuristic development of our sophisticated monitoring products.

Position Overview:

As a Staff Software Engineer specializing in backend technologies for Storage and Network monitoring in an AI enabled Data center as well as Cloud, you will play a critical role in designing, developing, and delivering high-quality features within aggressive timelines. Your expertise in microservices-based streaming architectures and strong hands-on development skills are essential to solve complex problems related to large-scale data processing. Proficiency in backend technologies such as Java, Python is crucial.

Work Location: Pune

Job Type: Hybrid

Key Responsibilities:

• Hands-on Development: Actively participate in the design, development, and delivery of high-quality features, demonstrating strong hands-on expertise in backend technologies like Java, Python, Go or related languages.
• Microservices and Streaming Architectures: Design and implement microservices-based streaming architectures to efficiently process and analyze large volumes of data, ensuring real-time insights and optimal performance.
• Agile Development: Collaborate within an agile development environment to deliver features on aggressive schedules, maintaining a high standard of quality in code, design, and architecture.
• Feature Ownership: Take ownership of features from inception to deployment, ensuring they meet product requirements and align with the overall product vision.
• Problem Solving and Optimization: Tackle complex technical challenges related to data processing, storage, and real-time monitoring, and optimize backend systems for high throughput and low latency.
• Code Reviews and Best Practices: Conduct code reviews, provide constructive feedback, and promote best practices to maintain a high-quality and maintainable codebase.
• Collaboration and Communication: Work closely with cross-functional teams, including UI/UX designers, product managers, and QA engineers, to ensure smooth integration and alignment with product goals.
• Documentation: Create and maintain technical documentation, including system architecture, design decisions, and API documentation, to facilitate knowledge sharing and onboarding.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• 8+ years of hands-on experience in backend development, demonstrating expertise in Java, Python or related technologies.
• Strong domain knowledge in Storage and Networking, with exposure to monitoring technologies and practices.
• Experience is handling the large data-lakes with purpose-built data stores (Vector databases, no-SQL, Graph, Time-series).
• Practical knowledge of OO design patterns and Frameworks like Spring, Hibernate.
• Extensive experience with cloud platforms such as AWS, Azure or GCP and development expertise on Kubernetes, Docker, etc.
• Solid experience designing and delivering features with high quality on aggressive schedules.
• Proven experience in microservices-based streaming architectures, particularly in handling large amounts of data for storage and networking monitoring.
• Familiarity with performance optimization techniques and principles for backend systems.
• Excellent problem-solving and critical-thinking abilities.
• Outstanding communication and collaboration skills.

Why Join Us:

• Opportunity to be a key contributor in the development of a leading performance monitoring company specializing in AI-powered Storage and Network monitoring.
• Collaborative and innovative work environment.
• Competitive salary and benefits package.
• Professional growth and development opportunities.
• Chance to work on cutting-edge technology and products that make a real impact.

If you are a hands-on technologist with a proven track record of designing and delivering high-quality features on aggressive schedules and possess strong expertise in microservices-based streaming architectures, we invite you to apply and help us redefine the future of performance monitoring.

Review Criteria

• Strong Forward Deployed / Client-Facing Software Engineer / Integration / Product Support Engineer profiles
• 3+ years of hands-on software engineering experience, ideally in SaaS, enterprise tech, consulting, or platform-based engineering
• Strong proficiency in at least one programming language (Python / Java / JavaScript / TypeScript)
• Solid foundation in Data Structures, Algorithms, System Design, and ability to build production-grade solutions quickly
• Experience working on API integrations, backend services, data pipelines, or workflow-based systems
• Excellent analytical and problem-solving capability; ability to work directly with enterprise clients to diagnose and solve complex technical issues
• Strong communication skills and proven ability to collaborate with product, engineering, and customer teams
• Willingness to travel frequently to global client sites for deployments and solution delivery
• B.Tech / B.E. in Computer Science from Tier-1 institutes (IITs, BITS, NSIT, DAIICT, DTU, etc.)
• (Company) - Product Company only

Preferred

• Exposure to cloud services, data integration, ETL/Reverse ETL, or workflow automation tools.
• Experience with React / frontend frameworks, low-code development, or building internal tools.
• Familiarity with AI/ML, GenAI tools, LLM-driven automation, or experience applying them to real use cases.

Job Specific Criteria

• CV Attachment is mandatory
• Provide your current CTC Breakup (Fixed + Variable)
• What's your college name (undergraduate) and branch?
• What's your Current Company?
• Are you ok for traveling frequently to global client sites?
• How many years of experience do you have in Backend development?
• How many years of experience do you have in Frontend development?

Role & Responsibilities

As a Forward Deployed Software Engineer (FDSE), you’ll work at the intersection of engineering, problem-solving, and customer impact. You’ll embed with enterprise clients, understand real-world problems, and design and implement solutions using the company platform. This role is ideal for high-potential engineers from Tier-1 colleges who want to work on real enterprise-scale problems, gain full-stack exposure, and grow rapidly in a high-impact SaaS environment.

Key Responsibilities:

• Work with client and internal teams to understand complex business processes, legacy systems, and integration needs.
• Design, build, and deploy solutions using the company platform across data, workflows, and GenAI/LLM use cases.
• Develop data pipelines, API integrations, and low-code apps to solve high-impact problems.
• Collaborate closely with company’s product and engineering teams to shape platform capabilities through real deployments.
• Rapidly prototype, iterate, and deliver production-grade solutions with high ownership.
• Contribute to internal accelerators, templates, and best practices.

Ideal Candidate

Qualifications - Required:

• B.Tech / B.E. in Computer Science from Tier-1 institutes such as IITs, BITS, NSIT, DAIICT, DTU etc.
• > 3 years of professional experience.
• Proficiency in at least one programming language: Python, Java, JavaScript, or TypeScript.
• Strong foundation in data structures, algorithms, and system design.
• Excellent analytical and problem-solving skills.
• Strong communication and ability to work collaboratively.
• Willingness to travel frequently to client sites across the globe.

Qualifications - Preferred:

• Exposure to data integration, APIs, cloud services, or workflow tools.
• Experience with React / frontend frameworks or low-code platforms.
• Familiarity with AI/ML concepts or GenAI tools.
• Prior internships in SaaS, enterprise tech, or consulting environments.

Job Description

Experience: 5 - 9 years

Location: Bangalore/Pune/Hyderabad

Work Mode: Hybrid(3 Days WFO)

Senior Cloud Infrastructure Engineer for Data Platform 

The ideal candidate will play a critical role in designing, implementing, and maintaining cloud infrastructure and CI/CD pipelines to support scalable, secure, and efficient data and analytics solutions. This role requires a strong understanding of cloud-native technologies, DevOps best practices, and hands-on experience with Azure and Databricks.

Key Responsibilities:

Cloud Infrastructure Design & Management

Architect, deploy, and manage scalable and secure cloud infrastructure on Microsoft Azure.

Implement best practices for Azure Resource Management, including resource groups, virtual networks, and storage accounts.

Optimize cloud costs and ensure high availability and disaster recovery for critical systems

Databricks Platform Management

Set up, configure, and maintain Databricks workspaces for data engineering, machine learning, and analytics workloads.

Automate cluster management, job scheduling, and monitoring within Databricks.

Collaborate with data teams to optimize Databricks performance and ensure seamless integration with Azure services.

CI/CD Pipeline Development

Design and implement CI/CD pipelines for deploying infrastructure, applications, and data workflows using tools like Azure DevOps, GitHub Actions, or similar.

Automate testing, deployment, and monitoring processes to ensure rapid and reliable delivery of updates.

Monitoring & Incident Management

Implement monitoring and alerting solutions using tools like Dynatrace, Azure Monitor, Log Analytics, and Databricks metrics.

Troubleshoot and resolve infrastructure and application issues, ensuring minimal downtime.

Security & Compliance

Enforce security best practices, including identity and access management (IAM), encryption, and network security.

Ensure compliance with organizational and regulatory standards for data protection and cloud operations.

Collaboration & Documentation

Work closely with cross-functional teams, including data engineers, software developers, and business stakeholders, to align infrastructure with business needs.

Maintain comprehensive documentation for infrastructure, processes, and configurations.

Required Qualifications

Education: Bachelor’s degree in Computer Science, Engineering, or a related field.

Must Have Experience:

6+ years of experience in DevOps or Cloud Engineering roles.

Proven expertise in Microsoft Azure services, including Azure Data Lake, Azure Databricks, Azure Data Factory (ADF), Azure Functions, Azure Kubernetes Service (AKS), and Azure Active Directory.

Hands-on experience with Databricks for data engineering and analytics.

Technical Skills:

Proficiency in Infrastructure as Code (IaC) tools like Terraform, ARM templates, or Bicep.

Strong scripting skills in Python, or Bash.

Experience with containerization and orchestration tools like Docker and Kubernetes.

Familiarity with version control systems (e.g., Git) and CI/CD tools (e.g., Azure DevOps, GitHub Actions).

Soft Skills:

Strong problem-solving and analytical skills.

Excellent communication and collaboration abilities.

REVIEW CRITERIA:

MANDATORY:

• Strong Forward Deployed / Client-Facing Software Engineer / Integration / Product Support Engineer profiles
• 1–6 years of professional experience or strong internship/project work in software engineering.
• Strong proficiency in at least one programming language (Python / Java / JavaScript / TypeScript)
• Solid foundation in Data Structures, Algorithms, System Design, and ability to build production-grade solutions quickly
• Experience working on API integrations, backend services, data pipelines, or workflow-based systems
• Excellent analytical and problem-solving capability; ability to work directly with enterprise clients to diagnose and solve complex technical issues
• Strong communication skills and proven ability to collaborate with product, engineering, and customer teams
• Willingness to travel frequently to global client sites for deployments and solution delivery
• B.Tech / B.E. in Computer Science from Tier-1 institutes (IITs, BITS, NSIT, DAIICT, DTU, etc.)
• Product Company only

PREFERRED SKILLS:

• Exposure to cloud services, data integration, ETL/Reverse ETL, or workflow automation tools.
• Experience with React / frontend frameworks, low-code development, or building internal tools.
• Familiarity with AI/ML, GenAI tools, LLM-driven automation, or experience applying them to real use cases.

ROLE & RESPONSIBILITIES:

As a Forward Deployed Software Engineer (FDSE) at UnifyApps, you’ll work at the intersection of engineering, problem-solving, and customer impact. You’ll embed with enterprise clients, understand real-world problems, and design and implement solutions using the UnifyApps platform. This role is ideal for high-potential engineers from Tier-1 colleges who want to work on real enterprise-scale problems, gain full-stack exposure, and grow rapidly in a high-impact SaaS environment.

KEY RESPONSIBILITIES:

• Work with client and internal teams to understand complex business processes, legacy systems, and integration needs.
• Design, build, and deploy solutions using the UnifyApps platform across data, workflows, and GenAI/LLM use cases.
• Develop data pipelines, API integrations, and low-code apps to solve high-impact problems.
• Collaborate closely with UnifyApps’ product and engineering teams to shape platform capabilities through real deployments.
• Rapidly prototype, iterate, and deliver production-grade solutions with high ownership.
• Contribute to internal accelerators, templates, and best practices.

IDEAL CANDIDATE:

QUALIFICATIONS - REQUIRED:

• B.Tech / B.E. in Computer Science from Tier-1 institutes such as IITs, BITS, NSIT, DAIICT, DTU etc.
• 1–6 years of professional experience or strong internship/project work in software engineering.
• Proficiency in at least one programming language: Python, Java, JavaScript, or TypeScript.
• Strong foundation in data structures, algorithms, and system design.
• Excellent analytical and problem-solving skills.
• Strong communication and ability to work collaboratively.
• Willingness to travel frequently to client sites across the globe.

QUALIFICATIONS - PREFERRED:

• Exposure to data integration, APIs, cloud services, or workflow tools.
• Experience with React / frontend frameworks or low-code platforms.
• Familiarity with AI/ML concepts or GenAI tools.
• Prior internships in SaaS, enterprise tech, or consulting environments.

PERKS, BENEFITS AND WORK CULTURE:

• Competitive salary package.
• Opportunity to learn from and work with senior leadership & founders.
• Build solutions for large enterprises that move from concept to real-world impact.
• Exceptional career growth pathways in a highly innovative and rapidly scaling environment.

Summary:

We are seeking a highly skilled Python Backend Developer with proven expertise in FastAPI to join our team as a full-time contractor for 12 months. The ideal candidate will have 5+ years of experience in backend development, a strong understanding of API design, and the ability to deliver scalable, secure solutions. Knowledge of front-end technologies is an added advantage. Immediate joiners are preferred. This role requires full-time commitment—please apply only if you are not engaged in other projects.

Job Type:

Full-Time Contractor (12 months)

Location:

Remote / On-site (Jaipur preferred, as per project needs)

Experience:

5+ years in backend development

Key Responsibilities:

• Design, develop, and maintain robust backend services using Python and FastAPI.
•  Implement and manage Prisma ORM for database operations.
• Build scalable APIs and integrate with SQL databases and third-party services.
• Deploy and manage backend services using Azure Function Apps and Microsoft Azure Cloud.
• Collaborate with front-end developers and other team members to deliver high-quality web applications.
• Ensure application performance, security, and reliability.
• Participate in code reviews, testing, and deployment processes.

Required Skills:

• Expertise in Python backend development with strong experience in FastAPI.
• Solid understanding of RESTful API design and implementation.
• Proficiency in SQL databases and ORM tools (preferably Prisma)
• Hands-on experience with Microsoft Azure Cloud and Azure Function Apps.
• Familiarity with CI/CD pipelines and containerization (Docker).
• Knowledge of cloud architecture best practices.

Added Advantage:

• Front-end development knowledge (React, Angular, or similar frameworks).
• Exposure to AWS/GCP cloud platforms.
• Experience with NoSQL databases.

Eligibility:

• Minimum 5 years of professional experience in backend development.
• Available for full-time engagement.
• Please excuse if you are currently engaged in other projects—we require dedicated availability.

Role Overview

As a Senior SQL Developer, you’ll be responsible for data extracts, updating, and maintaining reports as requested by stakeholders. You’ll work closely with finance operations and developers to ensure data requests are appropriately managed.

Key Responsibilities

• Design, develop, and optimize complex SQL queries, stored procedures, functions, and tasks across multiple databases/schemas.
• Transform cost-intensive models from full-refreshes to incremental loads based on upstream data.
• Help design proactive monitoring of data to catch data issues/data delays.

Qualifications

• 5+ years of experience as a SQL developer, preferably in a B2C or tech environment. • Ability to translate requirements into datasets.
• Understanding of dbt framework for transformations.
• Basic usage of git - branching/ PR generation.
• Detail-oriented with strong organizational and time management skills.
• Ability to work cross-functionally and manage multiple projects simultaneously.

Bonus Points

• 
  
• Experience with Snowflake and AWS data technologies.
• Experience with Python and containers (Docker)

About Us:

Tradelab Technologies Pvt Ltd is not for those seeking comfort—we are for those hungry to make a mark in the trading and fintech industry. If you are looking for just another backend role, this isn’t it. We want risk-takers, relentless learners, and those who find joy in pushing their limits

every day. If you thrive in high-stakes environments and have a deep passion for performance driven backend systems, we want you.

What We Expect:

• We’re looking for a Backend Developer (Python) with a strong foundation in backend technologies and

a deep interest in scalable, low-latency systems.

• You should have 3–4 years of experience in Python-based development and be eager to solve complex

performance and scalability challenges in trading and fintech applications.

• You measure success by your own growth, not external validation.

• You thrive on challenges, not on perks or financial rewards.

• Taking calculated risks excites you—you’re here to build, break, and learn.

• You don’t clock in for a paycheck; you clock in to outperform yourself in a high-frequency trading

environment.

• You understand the stakes—milliseconds can make or break trades, and precision is everything.

What You Will Do:

• Develop and maintain scalable backend systems using Python.

• Design and implement REST APIs and socket-based communication.

• Optimize code for speed, performance, and reliability.

• Collaborate with frontend teams to integrate server-side logic.

• Work with RabbitMQ, Kafka, Redis, and Elasticsearch for robust backend design.

• Build fault-tolerant, multi-producer/consumer systems.

Must-Have Skills:

• 3–4 years of experience in Python and backend development.

• Strong understanding of REST APIs, sockets, and network protocols (TCP/UDP/HTTP).

• Experience with RabbitMQ/Kafka, SQL & NoSQL databases, Redis, and Elasticsearch.

• Bachelor’s degree in Computer Science or related field.

Nice-to-Have Skills:

• Past experience in fintech, trading systems, or algorithmic trading.

• Experience with GoLang, C/C++, Erlang, or Elixir.

• Exposure to trading, fintech, or low-latency systems.

• Familiarity with microservices and CI/CD pipelines.

Experience:

• 12-14 years in software testing, with 5+ years in automation testing.
• Minimum 3+ years of experience managing QA teams.
• Experience in automating complex product which is highly configurable and multiple external integrations
• Experience in BDD automation framework
• Experience in developing/enhancing and managing automation framework
• Strong expertise in test automation tools (Selenium, Playwright, Appium, JMeter).
• Preferably experience with US healthcare standards (HIPAA, HL7, FHIR).
• Ability to get hands-on and find technical solutions for complex scenarios

Technical Skills:

• Proficiency in programming languages like Java, JavaScript.
• Solid understanding of DevOps practices, CI/CD pipelines, and tools like Jenkins or Azure DevOps.
• Expertise in API testing using tools like Postman or RestAssured.

Soft Skills:

• Strong problem-solving and analytical abilities.
• Excellent communication and collaboration skills.
• Ability to prioritize and manage multiple projects in a fast-paced environment.

Employee Benefits: 

HealthAsyst provides the following health, and wellness benefits to cover a range of physical and mental well-being for its employees. 

• Bi-Annual Salary Reviews 
• GMC (Group Mediclaim): Provides Insurance coverage of Rs. 3 lakhs + a corporate buffer of 2 Lakhs per family. This is a family floater policy, and the company covers all the employees, spouse, and up to two children 
• Employee Wellness Program- HealthAsyst offers unlimited online doctor consultations for self and family from a range of 31 specialties for no cost to employees. And OPD consultations with GP Doctors are available in person for No Cost to employees 
• GPA (Group Personal Accident): Provides insurance coverage of Rs. 20 lakhs to the employee against the risk of death/injury during the policy period sustained due to an accident 
• GTL (Group Term Life): Provides life term insurance protection to employees in case of death. The coverage is one time of the employee’s CTC 
• Employee Assistance Program: HealthAsyst offers complete confidential counselling services to employees & family members for mental wellbeing 
• Sponsored upskills program for certifications/higher education up to 1 lakh 
• Flexible Benefits Plan – covering a range of components like 
• National Pension System. 
• Internet/Mobile Reimbursements. 
• Fuel Reimbursements. 
• Professional Education Reimbursements. 
• Flexible working hours 
• 3 Day Hybrid Model 

We are seeking an experienced Cloud Penetration Tester to assess, exploit, and strengthen the security of our cloud environments (AWS, Azure, GCP). The role involves simulating real-world cyber-attacks, identifying vulnerabilities, and delivering actionable remediation recommendations. Key Responsibilities

• Perform in-depth penetration testing on cloud infrastructures (AWS/Azure/GCP).

• Conduct cloud-specific vulnerability assessments and configuration reviews.

• Simulate cyber-attacks to identify weaknesses in cloud applications, networks, APIs, and IAM configurations.

• Evaluate cloud-native security controls (Security Groups, IAM roles, Key Management, WAF, CloudTrail, etc.).

• Test containerized and serverless environments (Docker, Kubernetes, Lambda, Cloud Functions).

• Identify misconfigurations, privilege escalation paths, insecure storage, authentication issues, and API exploits.

• Prepare detailed technical reports and executive summaries with remediation steps.

• Work with DevOps and Cloud teams to improve security posture and ensure secure architecture.

• Assist in threat modeling and secure design of new cloud features/services.

• Stay updated on modern cloud attack tools and techniques (e.g., Pacu, ScoutSuite, Prowler, KubeHound).

🧠 Skills & Qualifications

• Strong understanding of cloud platforms (AWS, Azure, GCP).

• Hands-on experience with cloud penetration testing tools:

• Pacu, ScoutSuite, Prowler, CloudBrute, Burp Suite, Metasploit, Nmap.

• Familiarity with cloud-native security concepts:

• IAM, VPC, S3, Key Management, Containers, Serverless, API Gateway, WAF, CloudTrail.

• Knowledge of network, API, and web application security.

• Solid understanding of cloud attack vectors: SSRF, misconfigurations, privilege escalation, credential theft, etc.

• Ability to produce high-quality penetration testing reports.

• Scripting skills (Python, PowerShell, Bash) for automation.

• Certifications preferred: OSCP, OSWE, CEH, CCSP, AWS Security Specialty, Azure Security Engineer.

⭐ Preferred Personality Traits

• Strong analytical and exploit development mindset.

• Detail-oriented with the ability to think like an attacker.

• Strong communication skills for explaining findings.

• Continuous learner with curiosity about emerging cloud threats.

Job Description: Machine Learning Engineer – LLM and Agentic AI

Location: Ahmedabad

Experience: 4 to 7 years

Employment Type: Full-Time

________________________________________

About Us

Join a forward-thinking team at Tecblic, where innovation meets cutting-edge technology. We specialize in delivering AI-driven solutions that empower businesses to thrive in the digital age. If you're passionate about LLMs, machine learning, and pushing the boundaries of Agentic AI, we’d love to have you on board.

________________________________________

Key Responsibilities

• Research and Development: Research, design, and fine-tune machine learning models, with a focus on Large Language Models (LLMs) and Agentic AI systems.

• Model Optimization: Fine-tune and optimize pre-trained LLMs for domain-specific use cases, ensuring scalability and performance.

• Integration: Collaborate with software engineers and product teams to integrate AI models into customer-facing applications and platforms.

• Data Engineering: Perform data preprocessing, pipeline creation, feature engineering, and exploratory data analysis (EDA) to prepare datasets for training and evaluation.

• Production Deployment: Design and implement robust model deployment pipelines, including monitoring and managing model performance in production.

• Experimentation: Prototype innovative solutions leveraging cutting-edge techniques like reinforcement learning, few-shot learning, and generative AI.

• Technical Mentorship: Mentor junior team members on best practices in machine learning and software engineering.

________________________________________

Requirements

Core Technical Skills:

• Proficiency in Python for machine learning and data science tasks.

• Expertise in ML frameworks and libraries like PyTorch, TensorFlow, Hugging Face, Scikit-learn, or similar.

• Solid understanding of Large Language Models (LLMs) such as GPT, T5, BERT, or Bloom, including fine-tuning techniques.

• Experience working on NLP tasks such as text classification, entity recognition, summarization, or question answering.

• Knowledge of deep learning architectures, such as transformers, RNNs, and CNNs.

• Strong skills in data manipulation using tools like Pandas, NumPy, and SQL.

• Familiarity with cloud services like AWS, GCP, or Azure, and experience deploying ML models using tools like Docker, Kubernetes, or serverless functions.

Additional Skills (Good to Have):

• Exposure to Agentic AI (e.g., autonomous agents, decision-making systems) and practical implementation.

• Understanding of MLOps tools (e.g., MLflow, Kubeflow) to streamline workflows and ensure production reliability.

• Experience with generative AI models (GANs, VAEs) and reinforcement learning techniques.

• Hands-on experience in prompt engineering and few-shot/fine-tuned approaches for LLMs.

• Familiarity with vector databases like Pinecone, Weaviate, or FAISS for efficient model retrieval.

• Version control (Git) and familiarity with collaborative development practices.

General Skills:

• Strong analytical and mathematical background, including proficiency in linear algebra, statistics, and probability.

• Solid understanding of algorithms and data structures to solve complex ML problems.

• Ability to handle and process large datasets using distributed frameworks like Apache Spark or Dask (optional but useful).

________________________________________

Soft Skills:

• Excellent problem-solving and critical-thinking abilities.

• Strong communication and collaboration skills to work with cross-functional teams.

• Self-motivated, with a continuous learning mindset to keep up with emerging technologies.

About Grey chain (https://greychaindesign.com/)

A Generative AI-as-a-service, Mobile & Digital Transformation firm helping organizations reimagine user experiences with Disruptive & Transformational thinking and partnership.

Trusted by: UNICEF, BOSE, KFINTECH, WHO and many Fortune 500 Companies

Home of over 110 Product Engineering nerds building the next generation of Digital Products.Primary Industries: Banking & Financial Services, Non-Profits, Retail & eCommerce, Consumer Goods and Consulting.

Location: Remote

Job Summary:

We're seeking an experienced QA Automation Engineer to join our team. The ideal candidate will have strong technical skills, excellent communication, and a proactive approach to issue resolution. The QA Automation Engineer will design, develop, and maintain automated testing solutions to ensure the quality and reliability of our software applications.

Key Responsibilities:

- Design, develop, and maintain automated testing frameworks using Python (Pytest)

- Create and execute automated test scripts to ensure thorough coverage of application functionality

- Collaborate with cross-functional teams to identify and prioritize testing needs

- Proactively identify and report issues, risks, and opportunities for process improvement

- Work independently with minimal supervision, taking ownership of tasks and deliverables

- Develop and maintain pipelines, integrating automated testing into CI/CD workflows

- Apply OOPS concepts, code reusability principles, and fuzzy logic to write efficient, modular code

- Analyze application flows and functionalities to identify potential issues and improve test coverage

Requirements:

- 3-4 years of experience in automation testing

- Proficient in Python (2-3 years) with expertise in Pytest

- Strong understanding of pipelines and ability to make required changes or learn quickly

- Excellent communication and collaboration skills

- Ability to work independently with minimal supervision

- Proactive approach to issue identification and risk management

- Strong grasp of OOPS concepts, code reusability, and fuzzy logic

We are looking for a Senior AI / ML Engineer to join our fast-growing team and help build AI-driven data platforms and intelligent solutions. If you are passionate about AI, data engineering, and building real-world GenAI systems, this role is for you!

🔧 Key Responsibilities

• Develop and deploy AI/ML models for real-world applications

• Build scalable pipelines for data processing, training, and evaluation

• Work on LLMs, RAG, embeddings, and agent workflows

• Collaborate with data engineers, product teams, and software developers

• Write clean, efficient Python code and ensure high-quality engineering practices

• Handle model monitoring, performance tuning, and documentation

Required Skills

• 2–5 years of experience in AI/ML engineering

• Strong knowledge of Python, TensorFlow/PyTorch

• Experience with LLMs, GenAI, RAG, or NLP

• Knowledge of Databricks, MLOps or cloud platforms (AWS/Azure/GCP)

• Good understanding of APIs, distributed systems, and data pipelines

🎯 Good to Have

• Experience in healthcare, SaaS, or big data

• Exposure to Databricks Mosaic AI

• Experience building AI agents

About us

Arka energy is focussed on changing the paradigm on energy. Arka focusses on creating innovative renewable energy solutions for residential customers. With its custom product design and an innovative approach to market the product solution, Arka aims to be a leading provider of energy solutions in the residential solar segment. Arka designs and develops end to end renewable energy solutions with teams in Bangalore and in the Bay area

This product is a 3d simulation software, to replicate rooftops/commercial sites, place solar panels and generate the estimation of solar energy.

What are we looking for?

·        As a backend developer you will be responsible for developing solutions that will enable Arka solutions to be easily adopted by customers.

·        Attention to detail and willingness to learn is a big part of this position.

·        Commitment to problem solving, and innovative design approaches are important.

Role and responsibilities

●       Develop cloud-based Python Django software products

●       Working closely with UX and Front-end Developers

●       Participating in architectural, design and product discussions Designing and creating RESTful APIs for internal and partner consumption

●       Working in an agile environment with an excellent team of engineers

●       Own/maintain code everything from development to fixing bugs/issues.

●       Deliver clean, reusable high-quality code

●       Facilitate problem diagnosis and resolution for issues reported by Customers

●       Deliver to schedule and timelines based on an Agile/Scrum-based approach

●       Develop new features and ideas to make product better and user centric.

●       Must be able to independently write code and test major features, as well as work jointly with other team members to deliver complex changes

●       Create algorithms from scratch and implement them in the software.

●       Code Review, End to End Unit Testing.

●       Guiding and monitoring Junior Engineers.

SKILL REQUIREMENTS

●       Solid database skills in a relational database (i.e. PostgresSQL, MySQL, etc.) Knowledge of how to build and use with RESTful APIs

●        Strong knowledge of version control (i.e. git, svn, etc.)

●        Experience deploying Python applications into production

●        Azure or Google cloud infrastructure knowledge is a plus

●       Strong drive to learn new technologies

●       Ability to learn new technologies quickly

●       Continuous look-out for new and creative solutions to implement new features or improve old ones

●       Data Structures, Algorithms, Django and Python

Good To have

·        Knowledge on GenAI Applications.

Key Benefits

·        Competitive development environment

·        Engagement into full scale systems development

·        Competitive Salary

·        Flexible working environment

·        Equity in an early-stage start-up

·        Patent Filing Bonuses

·        Health Insurance for Employee + Family

Inflection.io is a venture-backed B2B marketing automation company, enabling to communicate with their customers and prospects from one platform. We're used by leading SaaS companies like Sauce Labs, Sigma Computing, BILL, Mural, and Elastic, many of which pay more than $100K/yr (1 crore rupee).

And,... it’s working! We have world-class stats: our largest deal is over 3 crore, we have a 5 star rating on G2, over 100% NRR, and constantly break sales and customer records. We’ve raised $14M in total since 2021 with $7.6M of fresh funding in 2024, giving us many years of runway.

However, we’re still in startup mode with approximately 30 employees and looking for the next SDE3 to help propel Inflection forward. Do you want to join a fast growing startup that is aiming to build a very large company?

Key Responsibilities:

• Lead the design, development, and deployment of complex software systems and applications.
• Collaborate with engineers and product managers to define and implement innovative solutions
• Provide technical leadership and mentorship to junior engineers, promoting best practices and fostering a culture of continuous improvement.
• Write clean, maintainable and efficient code, ensuring high performance and scalability of the software.
• Conduct code reviews and provide constructive feedback to ensure code quality and adherence to coding standards.
• Troubleshoot and resolve complex technical issues, optimizing system performance and reliability.
• Stay updated with the latest industry trends and technologies, evaluating their potential for adoption in our projects.
• Participate in the full software development lifecycle, from requirements gathering to deployment and monitoring.

Qualifications:

• 5+ years of professional software development experience, with a strong focus on backend development.
• Proficiency in one or more programming languages such as Java, Python, Golang or C#
• Strong understanding of database systems, both relational (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB, Cassandra).
• Hands-on experience with message brokers such as Kafka, RabbitMQ, or Amazon SQS.
• Experience with cloud platforms (AWS or Azure or Google Cloud) and containerization technologies (Docker, Kubernetes).
• Proven track record of designing and implementing scalable, high-performance systems.
• Excellent problem-solving skills and the ability to think critically and creatively.
• Strong communication and collaboration skills, with the ability to work effectively in a fast-paced, team-oriented environment.

About SalesMonk.ai

SalesMonk.ai is on a mission to revolutionize sales and marketing with cutting-edge AI agents that empower teams to close deals faster and smarter. We are a fast-growing startup, backed by a passionate team of innovators, problem-solvers, and builders.

We are looking for a Senior Full Stack Engineer to join our core engineering team and play a pivotal role in building scalable, high-performing applications for our next-gen platform.

Why join

As a small team, we work in a highly collaborative environment and you'll have the opportunity to participate in every part of the business from idea to production.

• Impact: Build the foundation and shape engineering practices, team, and company culture.
• Excellence: Practice your craft with other ICs and founders in a well-organized, fast-paced environment.
• Ownership: Influence the direction of product and strategy — we care about your opinions.
• Leadership: Mentor the next generation of the team that comes in raw and hungry.
• We’re AI geeks: We use AI not just for our product, but also to code, do reviews, control our browsers, play Spotify…and we’re just getting started 🤓

What you'll do (responsibilities)

We're looking for an experienced individual contributor who enjoys working alongside other experienced engineers and designers to quickly build and iterate on the frontend and backend.

• Build AI agents that change the game. You'll build the infrastructure for SalesMonk from the ground up, having a huge and direct impact by shipping your work to users on prod daily.
• Use modern web tech and influence the stack. The frontend is React/Next.js, the backend Node(and a bit of Python) , and we use TypeScript across the full stack. As we build out our stack, you get to make critical choices and lay the foundations.
• Self-direct your work and co-own the product. You're a technical founder type and will have autonomy and responsibility. You'll be involved in shaping the roadmap and will own the problems, not just the code.
• Create a robust and scalable backend. Build multi-agent AI systems, PostgreSQL database models, performant REST API with Rediscache, 3rd party integrations, product analytics, transactional email, and service monitoring. We currently deploy to Render and Vercel to keep DevOps simple and will be looking for you to establish viable long-term cloud infrastructure and operations.
• Build UI components. You'll implement UI based on our design system. For a lot of our product, we build UI directly using codegen. Design sense is a must!
• Solve interesting technical problems. Bring your full creativity to solve super-challenging technical problems: from complex backend architecture, non-deterministic LLM behaviours, 3rd party integrations, syncing app state, to real-time collaboration.

What we're looking for (qualifications)

You're a senior IC that has built such systems before and this is not an area you have to ramp up on. We don't require any formal qualifications but value learning new skills — especially from one another. We are looking for someone that feels a sense of duty to the users of their work.

• Startup experience. Working in a startup requires a level of hustle that isn’t for everyone. If you’ve been through this before (ideally running your own startup) then you’re going thrive in our energy. ****
• Highly productive while producing quality code. You enjoy pushing out features in a pragmatic and maintainable way. You know when to use duct tape and when to lay a foundation.
• AI wizard. We’re leaning hard into optimising our engineering processes with code. You should have a strong understanding of coding best practices, and be keeping up to date with the latest in the field.
• Curious and quick learning. We don't expect you to have experience in every technology we use, but to learn and be productive quickly. Owning several repos and jumping into all of them doesn't scare you.
• Design sensibility. While you'll co-craft the interface with top designers and frontend engineers, we expect you to have a knack for great UX, such that you feel if something is off and can flag it, or better yet, polish it.
• Attention to detail while pragmatic. We strive for few slips in code, Git hygiene, and clear written communication — all while remaining low-ego and simply focusing on solutions.
• Good heart. We don't tolerate jerks and are generally just friendly people!

What we offer (compensation & benefits)

We'll treat you well. If there are any other benefits that are important to you, we'd like to hear.

• Competitive salary and equity — multiple options based on your desire for ownership.
• Remote-friendly culture — while the role is primarily in office, you can work remotely if a need arises.
• Premium co-working space — work from a WeWork in the heart of Gurgaon.
• Hardware setup — MacBook Pro if you need it, big display, and accessories.

About Us

We are a company where the ‘HOW’ of building software is just as important as the ‘WHAT.’ We partner with large organizations to modernize legacy codebases and collaborate with startups to launch MVPs, scale, or act as extensions of their teams. Guided by Software Craftsmanship values and eXtreme Programming Practices, we deliver high-quality, reliable software solutions tailored to our clients' needs.

We thrive to:

• Bring our clients' dreams to life by being their trusted engineering partners, crafting innovative software solutions.
• Challenge offshore development stereotypes by delivering exceptional quality, and proving the value of craftsmanship.
• Empower clients to deliver value quickly and frequently to their end users.
• Ensure long-term success for our clients by building reliable, sustainable, and impactful solutions.
• Raise the bar of software craft by setting a new standard for the community.

Our Core Values

• Quality with Pragmatism: We aim for excellence with a focus on practical solutions.
• Extreme Ownership: We own our work and its outcomes fully.
• Proactive Collaboration: Teamwork elevates us all.
• Pursuit of Mastery: Continuous growth drives us.
• Effective Feedback: Honest, constructive feedback fosters improvement.
• Client Success: Our clients’ success is our success.

Internship Overview

If you’re a Software Craftsperson who takes pride in clean, test-driven code and believes in Extreme Programming principles, we’d love to meet you. At Incubyte, we’re a DevOps organization where developers own the entire release cycle, meaning you’ll get hands-on experience across programming, cloud infrastructure, client communication, and everything in between. Ready to level up your craft and join a team that’s as quality-obsessed as you are? Read on!

Internship Details

Duration- 6months

Location- 1 month of onsite training at Pune/Ahmedabad and then 5 months remote

Stipend- 25k/month

Full time conversion opportunity based on internship performance

Full time compensation= 6-8lpa

Eligible candidates must be from the graduating batch of 2026 or have graduated in 2025. 

We are accepting registrations via following form- https://forms.gle/pHx6Qz3yruh565eh8

What You'll Do

• Write Tests First: Start by writing tests to ensure code quality
• Clean Code: Produce self-explanatory, clean code with predictable results
• Frequent Releases: Make frequent, small releases
• Pair Programming: Work in pairs for better results
• Peer Reviews: Conduct peer code reviews for continuous improvement
• Product Team: Collaborate in a product team to build and rapidly roll out new features and fixes
• Full Stack Ownership: Handle everything from the front end to the back end, including infrastructure and DevOps pipelines
• Never Stop Learning: Commit to continuous learning and improvement

What We're Looking For

• Basic proficiency in Java, RESTful APIs, React, Ruby on Rails (ROR), and Test-Driven Development (TDD).
• A keen interest in learning technologies like Bootstrap, JavaScript, HTML5, CSS3, Python, and Angular.
• Foundational knowledge of object-oriented programming, data structures, algorithms, and software engineering methodologies.
• Familiarity or willingness to learn Agile and Extreme Programming methodologies in a continuous deployment environment.
• Curiosity to explore tools and technologies like web server ecosystems, relational DBMS, CI tools (e.g., Jenkins, Hudson, Bamboo), web frameworks, front-end technologies, complexity analysis, and performance optimization.
• Basic understanding of source control, bug tracking systems, and how to write user stories or create technical documentation.

Benefits

What We Offer

• Dedicated Learning & Development Budget: Fuel your growth with a budget dedicated solely to learning.
• Conference Talks Sponsorship: Amplify your voice! If you’re speaking at a conference, we’ll fully sponsor and support your talk.
• Cutting-Edge Projects: Work on exciting projects with the latest AI technologies
• Employee-Friendly Leave Policy: Recharge with ample leave options designed for a healthy work-life balance.
• Comprehensive Medical & Term Insurance: Full coverage for you and your family’s peace of mind.
• And More: Extra perks to support your well-being and professional growth.

Work Environment

• Remote-First Culture: At Incubyte, we thrive on a culture of structured flexibility — while you have control over where and how you work, everyone commits to a consistent rhythm that supports their team during core working hours for smooth collaboration and timely project delivery. By striking the perfect balance between freedom and responsibility, we enable ourselves to deliver high-quality standards our customers recognize us by. With asynchronous tools and push for active participation, we foster a vibrant, hands-on environment where each team member’s engagement and contributions drive impactful results.
• Work-In-Person: Twice a year, we come together for two-week sprints to collaborate in person, foster stronger team bonds, and align on goals. Additionally, we host an annual retreat to recharge and connect as a team. All travel expenses are covered.
• Proactive Collaboration: Collaboration is central to our work. Through daily pair programming sessions, we focus on mentorship, continuous learning, and shared problem-solving. This hands-on approach keeps us innovative and aligned as a team.

Incubyte is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

AI/LLM Test Automation Engineer (SDET)

Location: Bangalore (Hybrid preferred)

Experience: 5-8 Years

Job Summary

We are seeking a Senior Test Automation Engineer (SDET) with expertise in AI/LLM testing and Azure DevOps CI/CD to build robust automation frameworks for cutting-edge AI applications. The role combines deep programming skills (Java/Python), modern DevOps practices, and specialized LLM testing to ensure high-quality AI product delivery.

Key Responsibilities

• Design, develop, and maintain automation frameworks using Java/Python for web, mobile, API, and backend testing.
• Create and manage YAML-based CI/CD pipelines in Azure DevOps for end-to-end testing workflows.
• Perform AI/LLM testing including prompt validation, content generation evaluation, model behavior analysis, and bias detection.
• Write and maintain BDD Cucumber feature files integrated with automation suites.
• Execute manual + automated testing across diverse application layers with focus on edge cases.
• Implement Git branching strategies, code reviews, and repository best practices.
• Track defects and manage test lifecycle using ServiceNow or similar tools.
• Conduct root-cause analysis, troubleshoot complex issues, and drive continuous quality improvements.

Mandatory Skills & Experience

✅ 5+ years SDET/Automation experience

✅ Java/Python scripting for test frameworks (Selenium, REST Assured, Playwright)

✅ Azure DevOps YAML pipelines (CI/CD end-to-end)

✅ AI/LLM testing (prompt engineering, model validation, RAG testing)

✅ Cucumber BDD (Gherkin feature files + step definitions)

✅ Git (branching, PRs, GitFlow)

✅ ServiceNow/Jira defect tracking

✅ Manual + Automation testing (web/mobile/API/backend)

Technical Stack

Programming: Java, Python, JavaScript

CI/CD: Azure DevOps, YAML Pipelines

Testing: Selenium, Playwright, REST Assured, Postman

BDD: Cucumber (Gherkin), JBehave

AI/ML: Prompt validation, LLM APIs (OpenAI, LangChain)

Version Control: Git, GitHub/GitLabDefect

Tracking: ServiceNow, Jira, Azure Boards

Preferred Qualifications

• Exposure to AI testing frameworks (LangSmith, Promptfoo)
• Experience with containerization (Docker) and Kubernetes
• Knowledge of performance testing for AI workloads
• AWS/GCP cloud testing experience
• ISTQB or relevant QA certifications

What We Offer

• Work on next-gen AI/LLM products with global impact
• Modern tech stack with Azure-native DevOps
• Flexible hybrid/remote work model
• Continuous learning opportunities in AI testing

Job Description: Data Engineer

Location: Ahmedabad

Experience: 5 to 6 years

Employment Type: Full-Time

We are looking for a highly motivated and experienced Data Engineer to join our  team. As a Data Engineer, you will play a critical role in designing, building, and optimizing data pipelines that ensure the availability, reliability, and performance of our data infrastructure. You will collaborate closely with data scientists, analysts, and cross-functional teams to provide timely and efficient data solutions.

Responsibilities

● Design and optimize data pipelines for various data sources

● Design and implement efficient data storage and retrieval mechanisms

● Develop data modelling solutions and data validation mechanisms

● Troubleshoot data-related issues and recommend process improvements

● Collaborate with data scientists and stakeholders to provide data-driven insights and solutions

● Coach and mentor junior data engineers in the team

Skills Required: 

● Minimum 4 years of experience in data engineering or related field

● Proficient in designing and optimizing data pipelines and data modeling

● Strong programming expertise in Python

● Hands-on experience with big data technologies such as Hadoop, Spark, and Hive

● Extensive experience with cloud data services such as AWS, Azure, and GCP

● Advanced knowledge of database technologies like SQL, NoSQL, and data warehousing

● Knowledge of distributed computing and storage systems

● Familiarity with DevOps practices and power automate and Microsoft Fabric will be an added advantage

● Strong analytical and problem-solving skills with outstanding communication and collaboration abilities

Qualifications

• Bachelor's degree in Computer Science, Data Science, or a Computer related field

Like us, you'll be deeply committed to delivering impactful outcomes for customers.

• 7+ years of demonstrated ability to develop resilient, high-performance, and scalable code tailored to application usage demands.
• Ability to lead by example with hands-on development while managing project timelines and deliverables. Experience in agile methodologies and practices, including sprint planning and execution, to drive team performance and project success.
• Deep expertise in Node.js, with experience in building and maintaining complex, production-grade RESTful APIs and backend services.
• Experience writing batch/cron jobs using Python and Shell scripting.
• Experience in web application development using JavaScript and JavaScript libraries.
• Have a basic understanding of Typescript, JavaScript, HTML, CSS, JSON and REST based applications.
• Experience/Familiarity with RDBMS and NoSQL Database technologies like MySQL, MongoDB, Redis, ElasticSearch and other similar databases.
• Understanding of code versioning tools such as Git.
• Understanding of building applications deployed on the cloud using Google cloud platform(GCP)or Amazon Web Services (AWS)
• Experienced in JS-based build/Package tools like Grunt, Gulp, Bower, Webpack.

We are looking for a Lead Data Scientist with the ability to lead a data science team and help us gain useful insight out of raw data. Lead Data Scientist responsibilities include managing the client, data science team, planning projects and building analytics models. You should have a strong problem-solving ability and a knack for statistical analysis. If you’re also able to align our data products with our business goals, we’d like to talk to you.

KEY SKILL – Predictive Analysis, Statistical Modeling, Time Series

Responsibilities

● You would be required to Identify, develop and implement the appropriate statistical techniques, algorithms and Deep learning / ML Models to create new, scalable solutions that address business challenges across industry domains.

● Define, develop, maintain and evolve data models, tools and capabilities.

● Communicate your findings to the appropriate teams through visualizations

● Provide solutions for but not limited to: Object detection/Image recognition, natural language processing, Sentiment Analysis, Topic Modeling, Concept Extraction, Recommender Systems, Text Classification, Clustering , Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Modeling Response to Incentives, Marketing Mix Optimization, Price Optimization, GenAI and LLMs.

● Ability to build, train and lead a team of data scientists.

● Follow/maintain an agile methodology for delivering on project milestones.

● Experience applying statistical ideas and methods to data sets to answer business problems.

● Mine and analyze data to drive optimization and improvement of product development, marketing techniques and business strategies.

● Working on ML Model Containerisation.

● Creating ML Model Inference Pipelines.

● Testing and Monitoring ML Models. 

Role Overview

Join our core tech team to build the intelligence layer of Clink's platform. You'll architect AI agents, design prompts, build ML models, and create systems powering personalized offers for thousands of restaurants. High-growth opportunity working directly with founders, owning critical features from day one.

Why Clink?

Clink revolutionizes restaurant loyalty using AI-powered offer generation and customer analytics:

• ML-driven customer behavior analysis (Pattern detection)
• Personalized offers via LLMs and custom AI agents
• ROI prediction and forecasting models
• Instagram marketing rewards integration

Tech Stack:

• Python,
• FastAPI,
• PostgreSQL,
• Redis,
• Docker,
• LLMs

You Will Work On:

AI Agents: Design and optimize AI agents

ML Models: Build redemption prediction, customer segmentation, ROI forecasting

Data & Analytics: Analyze data, build behavior pattern pipelines, create product bundling matrices

System Design: Architect scalable async AI pipelines, design feedback loops, implement A/B testing

Experimentation: Test different LLM approaches, explore hybrid LLM+ML architectures, prototype new capabilities

Must-Have Skills

Technical: 0-2 years AI/ML experience (projects/internships count), strong Python, LLM API knowledge, ML fundamentals (supervised learning, clustering), Pandas/NumPy proficiency

Mindset: Extreme curiosity, logical problem-solving, builder mentality (side projects/hackathons), ownership mindset

Nice to Have: Pydantic, FastAPI, statistical forecasting, PostgreSQL/SQL, scikit-learn, food-tech/loyalty domain interest

3-5 years of experience as full stack developer with essential requirements on the following technologies: FastAPI, JavaScript, React.js-Redux, Node.js, Next.js, MongoDB, Python, Microservices, Docker, and MLOps.

Experience in Cloud Architecture using Kubernetes (K8s), Google Kubernetes Engine, Authentication and Authorisation Tools, DevOps Tools and Scalable and Secure Cloud Hosting is a significant plus.

Ability to manage a hosting environment, ability to scale applications to handle the load changes, knowledge of accessibility and security compliance.

Testing of API endpoints.

Ability to code and create functional web applications and optimising them for increasing response time and efficiency. Skilled in performance tuning, query plan/ explain plan analysis, indexing, table partitioning.

Expert knowledge of Python and corresponding frameworks with their best practices, expert knowledge of relational databases, NoSQL.

Ability to create acceptance criteria, write test cases and scripts, and perform integrated QA techniques.

Must be conversant with Agile software development methodology. Must be able to write technical documents, coordinate with test teams. Proficiency using Git version control.

Required Skills & Qualifications

• Proven experience as an ERP Developer / ERP Technical Consultant
• Strong knowledge of ERP platforms (e.g., Odoo, SAP, Oracle NetSuite, Microsoft Dynamics, Tally ERP, or custom ERP)
• Proficiency in backend languages (Node.js, Python, Java, or PHP depending on ERP platform)
• Solid understanding of databases (MySQL, PostgreSQL, MongoDB, or SQL Server)
• Experience with API development and integration (REST, SOAP, GraphQL)
• Familiarity with front-end frameworks (React, Angular, or Vue.js)
• Strong knowledge of business processes (finance, HR, payroll, sales, inventory, supply chain)
• Hands-on experience in custom module development and ERP reporting
• Proficient in Git/version control and CI/CD practices
• Excellent problem-solving, analytical, and debugging skills

Preferred Qualifications

• Experience in Odoo, Oracle, or Microsoft Dynamics 365 ERP
• Knowledge of cloud platforms (AWS, Azure, GCP) for ERP deployment
• Familiarity with DevOps tools and automation
• Prior experience in manufacturing, construction, or service industry ERPs
• Strong documentation and communication skills

About the role:

We are looking for a Senior Site Reliability Engineer who understands the nuances of production systems. If you care about building and running reliable software systems in production, you'll like working at One2N.

You will primarily work with our startups and mid-size clients. We work on One-to-N kind problems (hence the name One2N), those where Proof of concept is done and the work revolves around scalability, maintainability, and reliability. In this role, you will be responsible for architecting and optimizing our observability and infrastructure to provide actionable insights into performance and reliability.

Responsibilities:

• Conceptualise, think, and build platform engineering solutions with a self-serve model to enable product engineering teams.
• Provide technical guidance and mentorship to young engineers.
• Participate in code reviews and contribute to best practices for development and operations.
• Design and implement comprehensive monitoring, logging, and alerting solutions to collect, analyze, and visualize data (metrics, logs, traces) from diverse sources.
• Develop custom monitoring metrics, dashboards, and reports to track key performance indicators (KPIs), detect anomalies, and troubleshoot issues proactively.
• Improve Developer Experience (DX) to help engineers improve their productivity.
• Design and implement CI/CD solutions to optimize velocity and shorten the delivery time.
• Help SRE teams set up on-call rosters and coach them for effective on-call management.
• Automating repetitive manual tasks from CI/CD pipelines, operations tasks, and infrastructure as code (IaC) practices.
• Stay up-to-date with emerging technologies and industry trends in cloud-native, observability, and platform engineering space.

Requirements:

• 6-9 years of professional experience in DevOps practices or software engineering roles, with a focus on Kubernetes on an AWS platform.
• Expertise in observability and telemetry tools and practices, including hands-on experience with some of Datadog, Honeycomb, ELK, Grafana, and Prometheus.
• Working knowledge of programming using Golang, Python, Java, or equivalent.
• Skilled in diagnosing and resolving Linux operating system issues.
• Strong proficiency in scripting and automation to build monitoring and analytics solutions.
• Solid understanding of microservices architecture, containerization (Docker, Kubernetes), and cloud-native technologies.
• Experience with infrastructure as code (IaC) tools such as Terraform, Pulumi.
• Excellent analytical and problem-solving skills, keen attention to detail, and a passion for continuous improvement.
• Strong written, communication, and collaboration skills, with the ability to work effectively in a fast-paced, agile environment.

We're at the forefront of creating advanced AI systems, from fully autonomous agents that provide intelligent customer interaction to data analysis tools that offer insightful business solutions. We are seeking enthusiastic interns who are passionate about AI and ready to tackle real-world problems using the latest technologies.

Duration: 6 months

Perks:

- Hands-on experience with real AI projects.

- Mentoring from industry experts.

- A collaborative, innovative and flexible work environment

After completion of the internship period, there is a chance to get a full-time opportunity as AI/ML engineer (Up to 12 LPA).

Compensation:

- Joining Bonus: A one-time bonus of INR 2,500 will be awarded upon joining.

- Stipend: Base is INR 8000/- & can increase up to 20000/- depending upon performance matrix.

Key Responsibilities

• Experience working with python, LLM, Deep Learning, NLP, etc..
• Utilize GitHub for version control, including pushing and pulling code updates.
• Work with Hugging Face and OpenAI platforms for deploying models and exploring open-source AI models.
• Engage in prompt engineering and the fine-tuning process of AI models.

Requirements

• Proficiency in Python programming.
• Experience with GitHub and version control workflows.
• Familiarity with AI platforms such as Hugging Face and OpenAI.
• Understanding of prompt engineering and model fine-tuning.
• Excellent problem-solving abilities and a keen interest in AI technology.

To Apply Click below link and submit the Assignment

https://pgagi.in/jobs/28df1e98-f0c3-4d58-9509-d5b1a4ea9754

Please note that salary will be based on experience.

Job Title: Full Stack Engineer

Location: Bengaluru (Indiranagar) – Work From Office (5 Days)

Job Summary

We are seeking a skilled Full Stack Engineer with solid hands-on experience across frontend and backend development. You will work on mission-critical features, ensuring seamless performance, scalability, and reliability across our products.

Responsibilities

• Design, develop, and maintain scalable full-stack applications.
• Build responsive, high-performance UIs using Typescript & Next.js.
• Develop backend services and APIs using Python (FastAPI/Django).
• Work closely with product, design, and business teams to translate requirements into intuitive solutions.
• Contribute to architecture discussions and drive technical best practices.
• Own features end-to-end — design, development, testing, deployment, and monitoring.
• Ensure robust security, code quality, and performance optimization.

Tech Stack

Frontend: Typescript, Next.js, React, Tailwind CSS

Backend: Python, FastAPI, Django

Databases: PostgreSQL, MongoDB, Redis

Cloud & Infra: AWS/GCP, Docker, Kubernetes, CI/CD

Other Tools: Git, GitHub, Elasticsearch, Observability tools

Requirements

Must-Have:

• 2+ years of professional full-stack engineering experience.
• Strong expertise in either frontend (Typescript/Next.js) or backend (Python/FastAPI/Django) with familiarity in both.
• Experience building RESTful services and microservices.
• Hands-on experience with Git, CI/CD, and cloud platforms (AWS/GCP/Azure).
• Strong debugging, problem-solving, and optimization skills.
• Ability to thrive in fast-paced, high-ownership startup environments.

Good-to-Have:

• Exposure to Docker, Kubernetes, and observability tools.
• Experience with message queues or event-driven architecture.

Perks & Benefits

• Upskilling support – courses, tools & learning resources.
• Fun team outings, hackathons, demos & engagement initiatives.
• Flexible Work-from-Home: 12 WFH days every 6 months.
• Menstrual WFH: up to 3 days per month.
• Mobility benefits: relocation support & travel allowance.
• Parental support: maternity, paternity & adoption leave.

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

MANDATORY CRITERIA:

- Candidate Must be a graduate from IIT, NIT, NSUT, or DTU.

- Need candidate with 1–2 years of pure Product Analyst experience is mandatory.

- Candidate must have strong hands-on experience in Product + Data Analysis + Python.

- Candidate should have Python skill on the scale of 3/5 at least.

- Proficiency in SQL and ability to work with large datasets.

- The candidate must experience with A/B testing, cohorts, funnels, retention, and product metrics.

- Hands-on experience with data visualization tools (Tableau, Power BI, Looker, Mixpanel, GA, etc.).

- Candidate must have experienece in Jira.

- Strong communication skills with the ability to work with Product, Engineering, Business, and Ops teams.

OVERVIEW:

As a Product Analyst, you will play a critical role in driving product decisions through data insights and operational understanding. You’ll work closely with Product Managers, Engineering, Business, and Operations teams to analyze user behavior, monitor feature performance, and identify opportunities that accelerate growth, improve user experience, and increase revenue. Your focus will be on translating data into actionable strategies, supporting product roadmaps, and enabling informed decision-making across demand-side projects and operations.

WHAT YOU WILL DO?

● Partnering with Product Managers and cross-functional teams to define metrics, build dashboards, and track product performance.

● Conducting deep-dive analyses of large-scale data to identify trends, user behavior patterns, growth gaps, and improvement opportunities.

● Performing competitive benchmarking and industry research to support product strategy and prioritization.

● Generating data-backed insights to drive feature enhancements, product experiments, and business decisions.

● Tracking post-launch impact by measuring adoption, engagement, retention, and ROI of new features.

● Working with Data, Engineering, Business, and Ops teams to design and measure experiments (A/B tests, cohorts, funnels).

● Creating reports, visualizations, and presentations that simplify complex data for stakeholdersand leadership.

● Supporting the product lifecycle with relevant data inputs during research, ideation, launch, and optimization phases.

WHAT WE ARE LOOKING FOR?

● Bachelor’s degree in engineering, statistics, business, economics, mathematics, data science, or a related field.

● Strong analytical, quantitative, and problem-solving skills.

● Proficiency in SQL and ability to work with large datasets.

● Experience with data visualization/reporting tools (e.g., Excel, Google Sheets, Power BI, Tableau, Looker, Mixpanel, GA).

● Excellent communication skills — able to turn data into clear narratives and actionable recommendations.

● Ability to work collaboratively in cross-functional teams.

● Passion for product, user behavior, and data-driven decision-making

● Prior internship or work experience in product analytics, business analysis, consulting, or growth teams.

● Familiarity with experimentation techniques (A/B testing, funnels, cohorts, retention metrics).

● Understanding of product management concepts and tools (Jira, Confluence, etc.).

● Knowledge of Python or R for data analysis (optional but beneficial).

● Exposure to consumer tech, mobility, travel, or marketplaces.

MANDATORY CRITERIA:

- Candidate Must be a graduate from IIT, NIT, NSUT, or DTU.

- Need candidate with 1–2 years of pure Product Analyst experience is mandatory.

- Candidate must have strong hands-on experience in Product + Data Analysis + Python.

- Candidate should have Python skill on the scale of 3/5 at least.

- Proficiency in SQL and ability to work with large datasets.

- The candidate must experience with A/B testing, cohorts, funnels, retention, and product metrics.

- Hands-on experience with data visualization tools (Tableau, Power BI, Looker, Mixpanel, GA, etc.).

- Candidate must have experienece in Jira.

- Strong communication skills with the ability to work with Product, Engineering, Business, and Ops teams.

OVERVIEW:

As a Product Analyst, you will play a critical role in driving product decisions through data insights and operational understanding. You’ll work closely with Product Managers, Engineering, Business, and Operations teams to analyze user behavior, monitor feature performance, and identify opportunities that accelerate growth, improve user experience, and increase revenue. Your focus will be on translating data into actionable strategies, supporting product roadmaps, and enabling informed decision-making across demand-side projects and operations.

WHAT YOU WILL DO?

● Partnering with Product Managers and cross-functional teams to define metrics, build dashboards, and track product performance.

● Conducting deep-dive analyses of large-scale data to identify trends, user behavior patterns, growth gaps, and improvement opportunities.

● Performing competitive benchmarking and industry research to support product strategy and prioritization.

● Generating data-backed insights to drive feature enhancements, product experiments, and business decisions.

● Tracking post-launch impact by measuring adoption, engagement, retention, and ROI of new features.

● Working with Data, Engineering, Business, and Ops teams to design and measure experiments (A/B tests, cohorts, funnels).

● Creating reports, visualizations, and presentations that simplify complex data for stakeholdersand leadership.

● Supporting the product lifecycle with relevant data inputs during research, ideation, launch, and optimization phases.

WHAT WE ARE LOOKING FOR?

● Bachelor’s degree in engineering, statistics, business, economics, mathematics, data science, or a related field.

● Strong analytical, quantitative, and problem-solving skills.

● Proficiency in SQL and ability to work with large datasets.

● Experience with data visualization/reporting tools (e.g., Excel, Google Sheets, Power BI, Tableau, Looker, Mixpanel, GA).

● Excellent communication skills — able to turn data into clear narratives and actionable recommendations.

● Ability to work collaboratively in cross-functional teams.

● Passion for product, user behavior, and data-driven decision-making

● Prior internship or work experience in product analytics, business analysis, consulting, or growth teams.

● Familiarity with experimentation techniques (A/B testing, funnels, cohorts, retention metrics).

● Understanding of product management concepts and tools (Jira, Confluence, etc.).

● Knowledge of Python or R for data analysis (optional but beneficial).

● Exposure to consumer tech, mobility, travel, or marketplaces.

Review Criteria

• Strong Senior Data Engineer profile
• 4+ years of hands-on Data Engineering experience
• Must have experience owning end-to-end data architecture and complex pipelines
• Must have advanced SQL capability (complex queries, large datasets, optimization)
• Must have strong Databricks hands-on experience
• Must be able to architect solutions, troubleshoot complex data issues, and work independently
• Must have Power BI integration experience
• CTC has 80% fixed and 20% variable in their ctc structure

Preferred

• Worked on Call center data, understand nuances of data generated in call centers
• Experience implementing data governance, quality checks, or lineage frameworks
• Experience with orchestration tools (Airflow, ADF, Glue Workflows), Python, Delta Lake, Lakehouse architecture

Job Specific Criteria

• CV Attachment is mandatory
• Are you Comfortable integrating with Power BI datasets?
• We have an alternate Saturdays working. Are you comfortable to WFH on 1st and 4th Saturday?

Role & Responsibilities

We are seeking a highly experienced Senior Data Engineer with strong architectural capability, excellent optimisation skills, and deep hands-on experience in modern data platforms. The ideal candidate will have advanced SQL skills, strong expertise in Databricks, and practical experience working across cloud environments such as AWS and Azure. This role requires end-to-end ownership of complex data engineering initiatives, including architecture design, data governance implementation, and performance optimisation. You will collaborate with cross-functional teams to build scalable, secure, and high-quality data solutions.

Key Responsibilities-

• Lead the design and implementation of scalable data architectures, pipelines, and integration frameworks.
• Develop, optimise, and maintain complex SQL queries, transformations, and Databricks-based data workflows.
• Architect and deliver high-performance ETL/ELT processes across cloud platforms.
• Implement and enforce data governance standards, including data quality, lineage, and access control.
• Partner with analytics, BI (Power BI), and business teams to enable reliable, governed, and high-value data delivery.
• Optimise large-scale data processing, ensuring efficiency, reliability, and cost-effectiveness.
• Monitor, troubleshoot, and continuously improve data pipelines and platform performance.
• Mentor junior engineers and contribute to engineering best practices, standards, and documentation.

Ideal Candidate

• Proven industry experience as a Senior Data Engineer, with ownership of high-complexity projects.
• Advanced SQL skills with experience handling large, complex datasets.
• Strong expertise with Databricks for data engineering workloads.
• Hands-on experience with major cloud platforms — AWS and Azure.
• Deep understanding of data architecture, data modelling, and optimisation techniques.
• Familiarity with BI and reporting environments such as Power BI.
• Strong analytical and problem-solving abilities with a focus on data quality and governance
• Proficiency in python or another programming language in a plus.

ROLES AND RESPONSIBILITIES:

We are seeking a highly experienced Senior Data Engineer with strong architectural capability, excellent optimisation skills, and deep hands-on experience in modern data platforms. The ideal candidate will have advanced SQL skills, strong expertise in Databricks, and practical experience working across cloud environments such as AWS and Azure. This role requires end-to-end ownership of complex data engineering initiatives, including architecture design, data governance implementation, and performance optimisation. You will collaborate with cross-functional teams to build scalable, secure, and high-quality data solutions.

Key Responsibilities-

• Lead the design and implementation of scalable data architectures, pipelines, and integration frameworks.
• Develop, optimise, and maintain complex SQL queries, transformations, and Databricks-based data workflows.
• Architect and deliver high-performance ETL/ELT processes across cloud platforms.
• Implement and enforce data governance standards, including data quality, lineage, and access control.
• Partner with analytics, BI (Power BI), and business teams to enable reliable, governed, and high-value data delivery.
• Optimise large-scale data processing, ensuring efficiency, reliability, and cost-effectiveness.
• Monitor, troubleshoot, and continuously improve data pipelines and platform performance.
• Mentor junior engineers and contribute to engineering best practices, standards, and documentation.

IDEAL CANDIDATE:

• Proven industry experience as a Senior Data Engineer, with ownership of high-complexity projects.
• Advanced SQL skills with experience handling large, complex datasets.
• Strong expertise with Databricks for data engineering workloads.
• Hands-on experience with major cloud platforms — AWS and Azure.
• Deep understanding of data architecture, data modelling, and optimisation techniques.
• Familiarity with BI and reporting environments such as Power BI.
• Strong analytical and problem-solving abilities with a focus on data quality and governance
• Proficiency in python or another programming language in a plus.

PERKS, BENEFITS AND WORK CULTURE:

Our people define our passion and our audacious, incredibly rewarding achievements. The company is one of India’s most diversified Non-banking financial companies, and among Asia’s top 10 Large workplaces. If you have the drive to get ahead, we can help find you an opportunity at any of the 500+ locations we’re present in India.

Job Description: Senior Backend

Location: Bangalore (Onsite)

Skills Required:

• Deep expertise in backend architecture using Python (FastAPI, Django), Node.js (NestJS, Express), or GoLang.
• Strong experience with cloud infrastructure - AWS, GCP, Azure, and containerization (Docker, Kubernetes).
• Proficiency in infrastructure-as-code (Terraform, Pulumi, Ansible).
• Mastery in CI/CD pipelines, GitOps workflows, and deployment automation (GitHub Actions, Jenkins, ArgoCD, Flux).
• Experience building high-performance distributed systems, APIs, and microservices architectures.
• Understanding of event-driven systems, message queues, and streaming platforms (Kafka, RabbitMQ, Redis Streams).
• Familiarity with database design and scaling - PostgreSQL, MongoDB, DynamoDB, TimescaleDB.
• Deep understanding of system observability, tracing, and performance tuning (Prometheus, Grafana, OpenTelemetry).
• Familiarity with AI integration stacks - deploying and scaling LLMs, vector databases (Pinecone, Weaviate, Milvus), and inference APIs (vLLM, Ollama, TensorRT).
• Awareness of DevSecOps practices, zero-trust architecture, and cloud cost optimization.
• Bonus: Hands-on with Rust, WebAssembly, or edge computing platforms (Fly.io, Cloudflare Workers, AWS Greengrass).

Who We Are Looking For:

Upsurge Labs builds across robotics, biotech, AI, and creative tech, each product running on the backbone of precision-engineered software.

We are looking for a Senior Backend / DevOps Engineer who can architect scalable, resilient systems that power machines, minds, and media.

You should be someone who is :

• Disciplined and detail-oriented, thriving in complex systems without compromising reliability.
• Organized enough to manage chaos and gritty enough to debug at 3 a.m. if that’s what the mission demands.
• Obsessed with clean code, system resilience, and real-world impact.
• Finds satisfaction in building infrastructure where reliability, scalability, and performance are central.
• Comfortable working at the intersection of AI, automation, and distributed systems.
• Understands that this work is challenging and fast-paced, but rewarding for those who push boundaries.

At Upsurge Labs, only the best minds build the foundations for the future. If you’ve ever dreamed of engineering systems that enable breakthroughs in AI and robotics, this is your arena.

As a Lead Artificial Intelligence Engineer at Leapfrog Technology, you will be at the forefront of shaping the future of data-driven solutions. You'll lead a talented team, drive the development of innovative AI projects, and work collaboratively across functions to turn complex business challenges into actionable insights.

Key Responsibilities:

● Leadership Excellence: Lead and inspire a team of AI Engineers and Data Scientists, fostering a culture of innovation, collaboration, and continuous growth.

● End-to-End Ownership: Take full ownership of the AI project lifecycle, from ideation and design to development, deployment, and maintenance.

● Technological Innovation: Explore and assess emerging technologies to enhance the performance, maintainability, and reliability of AI systems.

● Engineering Best Practices: Apply robust software engineering practices to AI, including CI/CD pipelines, automation, and quality assurance.

● Architectural Leadership: Collaborate with technology experts to make informed architectural decisions, and ensure thorough technical documentation.

● Risk Mitigation: Proactively identify and address project risks, conduct root cause analysis, and implement preventive measures.

● Cross-functional Collaboration: Engage closely with cross-functional teams, including business stakeholders, product managers, software engineers, and data engineers, to deliver impactful data-driven solutions.

● Continuous Learning: Stay at the cutting edge of data science, ML, and AI developments, and leverage emerging technologies to solve complex business problems.

● Mentorship and Growth: Coach and motivate team members, identify training needs, and foster their professional development.

● Organizational Excellence: Actively uphold and promote the company's culture, processes, and standards to ensure consistent excellence in our work.

Job requirements

Education and Experience:

• A degree (Masters preferred) in Computer Science, Engineering, Artificial Intelligence, Data Science, Applied Mathematics, or related fields.
• Minimum 6+ years of hands-on experience in AI/ML or Data Science, preferably in real industry settings, with a track record of building data products that have positively impacted customer satisfaction and revenue growth.

Technical Skills:

• Proficiency in a wide range of Machine Learning techniques and algorithms, with the ability to apply advanced analytics methods, including Bayesian statistics, clustering, text analysis, time series analysis, and neural networks on large-scale datasets.
• Expertise in at least one specialized area of application, such as Computer Vision or Natural Language Processing (NLP). (NLP Expertise preferred)
•  Strong programming skills in Python, including expertise in the data ecosystem (Numpy, Scipy, Pandas, etc.) or equivalent skills in languages like R, Java, Scala, or Julia, with a focus on producing production-quality code.
• Hands-on experience with popular ML frameworks like Scikit-Learn, PyTorch, or TensorFlow.
• Expertise with Generative AI and Large Language Models (LLMs) along with their implementation in real-life applications.
• Experience building end-to-end ML systems (MLOps).
• Experience in deploying code in web frameworks such as Flask, FastAPI or Django.
• Experience working in a cloud environment like AWS, Azure, or GCP for ML work.
• Good grasp of SQL/NoSQL databases and scripting skills, particularly within analytics platforms and data warehouses.
• Good grasp of software engineering concepts (SDLC, Version Control, CI/CD, Containerization, Scalability and so on), programming concepts, and tools/platforms like Git and Docker.
• Bonus: Experience with Big Data technologies such as Apache Spark, Kafka, Kinesis, and cloud-based ML platforms like AWS SageMaker or GCP ML Engine.
• Bonus: Experience with data visualization and dashboard tools like Tableau or Power BI.

    Soft Skills:

• Highly motivated, self-driven, entrepreneurial mindset, and capable of solving complex analytical problems under high-pressure situations.
• Ability to work with cross-functional and cross-regional teams.
• Ability to lead a team of Data/AI professionals and work with senior management, technological experts, and the product team.
• Excellent written and verbal communication skills, comfortable with client communication.
• Good leadership skills - ability to motivate and mentor team members, ability to plan and make sound decisions, ability to negotiate tactfully with the client and team.
• Results-oriented, customer-focused with a passion for resolving tough technical and operational challenges.
• Possess excellent analytical and problem-solving abilities.
• Good documentation skills.
• Experienced with Agile methodologies like Scrum/Kanban

About VisibilityStack

VisibilityStack helps businesses connect with people who are actively searching for the solutions they offer, both on Google Search and in the new wave of AI-powered search tools.

Our AI agents identify what your audience is looking for, create content that answers those questions, and structure it so Google and AI systems can easily understand and recommend it. We also strengthen your online credibility through strategic backlinks and a strong social presence.

Everything is guided by real-time data. We focus on what works, remove what does not, and keep your content working around the clock. The result is simple: the right people can find you, trust you, and reach out when they need what you offer.

The Role

We need a Senior Engineer who ships production code that scales. You'll be the technical anchor—building critical infrastructure, solving complex problems, and mentoring junior developers through code reviews and pair programming.

You'll shape our future in four key ways: writing the code that becomes our foundation, being a key voice in engineering hiring decisions, helping establish the processes and patterns everyone follows, and having significant input on product decisions—your technical perspective directly influences what we build, not just how we build it. This isn't about managing people or writing performance reviews—it's about technical leadership through excellence.

What's in it for you:

1. Own mission-critical systems end-to-end — Your code directly generates customer revenue
2. Skip the politics, ship products — No layers of approval, no enterprise bureaucracy
3. Shape product direction — Your technical insights influence product strategy, not just implementation
4. Learn cutting-edge AI in production — Work with LLMs, vector databases, and agent orchestration at scale
5. Shape technical decisions and processes — Your input matters on how we build, not just what
6. Accelerated growth path — As we scale, you choose: become our technical lead or remain a deeply influential IC
7. Direct founder access — Collaborate on product vision, not just execute specs

Location: Janakpuri, Delhi (Hybrid - Maker's Schedule)

Our Work Philosophy:

We follow the Maker's Schedule, not the Manager's Schedule. This means uninterrupted blocks of deep work when you're building, and high-bandwidth collaboration when we're solving problems together.

In Practice:

1. In-office days: Whiteboard architecture sessions, rapid product iterations, deep dives into product strategy, complex debugging that needs three minds on one problem
2. Deep work days: Uninterrupted coding from wherever you work best—home, office, or that coffee shop with perfect noise levels
3. Balance by design: We optimize for both intense collaboration and deep focus

The best technical breakthroughs happen in two modes: intense in-person collaboration where ideas bounce rapidly, and deep solo work where complex problems get solved. We protect both.

Responsibilities

Technical Excellence

1. Build production systems that handle millions of AI operations daily
2. Write complex integrations that others can't figure out
3. Solve scaling problems before they become emergencies
4. Implement robust error handling and monitoring
5. Own critical infrastructure components end-to-end

Architecture & Code Quality

1. Design APIs that won't need v2 in 6 months
2. Make pragmatic technical decisions (boring tech when appropriate)
3. Help establish engineering processes—from code review to deployment
4. Create patterns and standards other engineers can follow
5. Lead code reviews that teach, not just critique
6. Balance shipping speed with technical sustainability

Hiring & Technical Assessment

1. Conduct technical interviews for engineering roles
2. Design practical coding assessments that test real skills
3. Provide strong input on hire/no-hire decisions
4. Partner with founders on technical requirements for roles
5. Help close strong candidates by selling the technical vision

Mentorship & Collaboration

1. Pair with junior developers on complex problems
2. Share knowledge through code reviews and documentation
3. Unblock teammates when they're stuck
4. Work directly with founders on technical strategy
5. Partner with product team on feature design and technical feasibility
6. Turn product ideas into technical specifications
7. Work directly with founders on technical strategy
8. Turn product ideas into technical specifications

Requirements

Must Have

1. 5-7 years of software engineering experience
2. Expert-level Python development skills
3. Production experience with LLMs (OpenAI, Anthropic, not just prototypes)
4. Built systems that scaled (and dealt with the failures)
5. Strong debugging skills—you fix what others can't
6. API design that makes sense to other developers
7. Git workflows and collaborative development

Strong Advantages

1. Previous early-stage startup experience
2. Production experience with vector databases (Pinecone, Weaviate, pgvector)
3. Elasticsearch or search infrastructure expertise
4. Built revenue-generating AI/ML systems
5. Experience with high-volume data pipelines
6. Contributed to open source projects
7. Informal mentorship or tech lead experience

Tech Stack

1. Backend: Python, FastAPI, PostgreSQL
2. AI/ML: OpenAI APIs, LangChain, Vector DBs
3. Infrastructure: AWS, Docker, GitHub Actions
4. Search: Elasticsearch (evaluating alternatives)

What We Offer

1. Early employee equity and financial upside
2. No bureaucracy—your code ships to production
3. Work on genuinely hard technical problems
4. Learn from and contribute to cutting-edge AI systems
5. Clear growth path as the team scales

Skills - Python (Pandas, NumPy) and backend frameworks (FastAPI, Flask), ETL processes, LLM, React.js or Angular, JavaScript or TypeScript.

• Strong proficiency in Python, with experience in data manipulation libraries (e.g., Pandas,

NumPy) and backend frameworks (e.g., FastAPI, Flask).

• Hands-on experience with data engineering and analytics, including data pipelines, ETL

processes, and working with structured/unstructured data.

• Understanding of React.js/ Angular, JavaScript/TypeScript for building responsive user

interfaces.

• Familiarity with AI/ML concepts and eagerness to grow into a deeper AI-focused role.

• Ability to work in cross-functional teams and adapt quickly to evolving technologies.

Salary: ₹3.5 LPA( Based on the performance)

Experience: 1–3 Years (ONLY FOR FEMALES)

We are looking for a Technical Trainer skilled in HTML, Java, Python, and AI to conduct technical trainer. The trainer will create learning materials, deliver sessions, assess student performance, and support learners throughout the training. Strong communication skills and the ability to explain technical concepts clearly are essential.

Planview is seeking a passionate Sr Software Engineer I to lead the development of internal AI tools and connectors, enabling seamless integration with internal and third-party data sources. This role will drive internal AI enablement and productivity across engineering and customer teams by consulting with business stakeholders, setting technical direction, and delivering scalable solutions.

Responsibilities:

• Work with business stakeholders to enable successful AI adoption.
• Develop connectors leveraging MCP or third-party APIs to enable new integrations.
• Prioritize and execute integrations with internal and external data platforms.
• Collaborate with other engineers to expand AI capabilities.
• Establish and monitor uptime metrics, set up alerts, and follow a proactive maintenance schedule.
• Exposure to operations, including Docker-based and serverless deployments and troubleshooting.
• Work with DevOps engineers to manage and deploy new tools as required.

Required Qualifications:

• Bachelor’s degree in computer science, Data Science, or related field.
• 4+ years of experience in infrastructure engineering, data integration, or AI operations.
• Strong Python coding skills.
• Experience configuring and scaling infrastructure for large user bases.
• Proficiency with monitoring tools, alerting systems, and maintenance best practices.
• Hands-on experience with containerized and serverless deployments.
• Ability to code connectors using MCP or third-party APIs.
• Strong troubleshooting and support skills.

Preferred Qualifications:

• Experience with building RAG knowledge bases, MCP Servers, and API integration patterns. Experience leveraging AI (LLMs) to boost productivity and streamline workflows.
• Exposure to working with business stakeholders to drive AI adoption and feature expansion. Familiarity with MCP server support and resilient feature design.
• Skilled at working as part of a global, diverse workforce.
• AWS Certification is a plus.