483 Python Jobs in Hyderabad | Python Job openings in Hyderabad

Embedded Systems / Firmware Engineer

Key Responsibilities

• Develop embedded firmware for IoT and connected devices using C/C++.
• Work on RTOS, bare-metal programming, memory management, device drivers, and communication protocols.
• Develop and integrate drivers/interfaces for cameras, motors, sensors, and vision systems.
• Work with Python and Shell scripting for development and automation.
• Apply basic AI/ML and computer vision concepts to embedded applications.
• Collaborate on electrical and mechanical design, hardware integration, testing, and debugging.

Required Skills

• C, C++, Python, Shell Scripting
• Embedded Systems & Firmware
• IoT, RTOS, Bare Metal
• Memory Management & Device Drivers
• Communication Protocols
• Camera, Motor & Vision Systems
• Basic AI/ML understanding
• Electrical & Mechanical Design understanding

Job Description:

We are looking for an experienced Middleware Administrator with strong expertise in IBM WebSphere Application Server, Linux administration, Python scripting and Java application support. The candidate will be responsible for managing enterprise middleware environments, production support, troubleshooting, deployments and automation activities.

Key Responsibilities:

• Administer, build, configure, maintain and troubleshoot IBM WebSphere Application Server / WebSphere Liberty.
• Support Linux-based server infrastructure hosting critical enterprise applications.
• Monitor application server health, performance, capacity and availability.
• Perform platform upgrades, patching, configuration changes and system maintenance.
• Deploy and support enterprise applications across WebSphere environments.
• Investigate and resolve application, middleware and infrastructure issues.
• Provide production support and participate in on-call rotations.
• Develop and maintain operational documents, runbooks and support procedures.
• Perform application deployments and support CI/CD processes.
• Develop Python scripts for automation and operational improvements.
• Work with infrastructure automation and monitoring tools.
• Collaborate with application, infrastructure and development teams to resolve critical production issues.
• Follow incident, change and problem management processes.

Required Skills:

• 8+ years of overall IT experience.
• 3+ years of hands-on experience with IBM WebSphere Application Server or WebSphere Liberty.
• 3+ years of experience supporting Linux server environments.
• Strong experience in Python scripting and automation.
• Experience in Java application support.
• Good knowledge of IBM Middleware technologies.
• Experience with application deployment and CI/CD processes.
• Exposure to infrastructure automation and monitoring tools.
• Strong troubleshooting and production support experience.
• Good communication and stakeholder management skills.

ob Summary

We are looking for an experienced Site Reliability Engineer (SRE) / Production Support Engineer with strong hands-on experience in application and production support, incident management, monitoring, cloud operations, automation, and infrastructure technologies.

The ideal candidate will be responsible for ensuring the availability, reliability, performance, and stability of production applications and infrastructure. The role involves troubleshooting critical production issues, monitoring applications and infrastructure, supporting deployments, managing incidents, and driving automation and operational improvements.

Key Responsibilities

• Provide L2/L3 Application and Production Support for critical business applications.
• Monitor production applications, infrastructure, batch jobs, and system health.
• Handle and troubleshoot critical production incidents, ensuring timely resolution and minimal business impact.
• Participate in Incident, Problem, and Change Management processes.
• Perform root-cause analysis (RCA) for recurring and major production issues.
• Troubleshoot issues related to applications, networks, load balancers, databases, operating systems, and infrastructure.
• Monitor application and infrastructure performance using Splunk, APM, and other monitoring tools.
• Create and maintain Splunk queries, dashboards, alerts, and operational monitoring.
• Support production deployments, including Blue-Green and Canary deployment strategies.
• Work with cloud infrastructure and perform day-to-day Cloud Operations activities.
• Manage and troubleshoot containerized applications using Docker and Kubernetes.
• Work with Terraform / Infrastructure as Code (IaC) for infrastructure provisioning and automation.
• Support Linux and Windows server administration.
• Develop and maintain Shell scripts and Python automation scripts to reduce manual operational activities.
• Monitor and analyze SLIs, SLOs, Error Budgets, and Burn Rates.
• Identify reliability risks and proactively implement solutions to improve system availability and performance.
• Collaborate with Development, DevOps, Infrastructure, Network, Database, and Cloud teams during production incidents.
• Leverage GenAI tools such as GitHub Copilot, Claude, or similar tools to improve troubleshooting, automation, documentation, and operational efficiency.
• Participate in on-call/shift-based production support as required by business and customer needs.

Mandatory / Key Skills

• Production / Application Support
• Incident Management
• Production Monitoring & Batch Monitoring
• Splunk – Queries, Dashboards & Monitoring
• APM / Application Performance Monitoring
• SLI / SLO / Error Budget / Burn Rate
• Cloud Operations
• Kubernetes
• Docker
• Terraform / Infrastructure as Code
• Linux & Windows Administration
• Shell Scripting
• Python Scripting / Automation
• Production Deployment Support
• Blue-Green & Canary Deployments
• Network, Load Balancing & Database Troubleshooting

​

Role Overview

We are looking for an experienced Data Scientist – Agentic AI with strong expertise in Python, Machine Learning, Generative AI, Large Language Models (LLMs), RAG and Agentic AI.

The ideal candidate should have hands-on experience in developing, fine-tuning, evaluating and deploying machine learning and GenAI solutions. The candidate should be comfortable working with open-source LLMs, LangChain/LangGraph, PySpark and AI observability/tracing frameworks.

The role involves building intelligent AI systems that can reason, use tools, retrieve information and execute multi-step tasks using Agentic AI architectures.

Mandatory Technical Skills

1. Data Science & Python

• 5+ years of experience in Data Science / Machine Learning / AI.
• Strong programming experience in Python.
• Strong understanding of data analysis, feature engineering and statistical techniques.
• Experience with Python ML and data science libraries such as:
• NumPy
• Pandas
• Scikit-learn
• Matplotlib / Seaborn
• Good understanding of data preprocessing, exploratory data analysis and experimentation.

2. Machine Learning & Statistics

• Strong understanding of Machine Learning fundamentals.
• Experience with supervised and unsupervised learning techniques.
• Knowledge of:
• Regression
• Classification
• Clustering
• Feature Engineering
• Model Selection
• Hyperparameter Tuning
• Cross-validation
• Strong understanding of Statistics / ML fundamentals.
• Ability to interpret model performance and statistical results.

3. Generative AI / LLM

• Strong hands-on experience with Generative AI and Large Language Models (LLMs).
• Understanding of Transformer architecture and modern LLM-based applications.
• Experience working with commercial or open-source LLMs.
• Strong understanding of:
• Prompt Engineering
• Context Management
• Embeddings
• Tokenization
• LLM inference
• Hallucination mitigation

4. RAG – Retrieval Augmented Generation

• Strong hands-on experience developing RAG applications.
• Experience with:
• Document ingestion
• Chunking
• Embeddings
• Vector search
• Semantic search
• Retrieval pipelines
• Context retrieval
• Reranking
• Ability to optimize RAG pipelines for relevance, accuracy and latency.
• Experience integrating LLMs with enterprise knowledge sources.

5. Agentic AI

• Hands-on experience building Agentic AI / AI Agent solutions.
• Understanding of agent architecture and multi-step reasoning workflows.
• Experience with:
• AI Agents
• Multi-Agent systems
• Tool Calling
• Function Calling
• Agent orchestration
• Planning and reasoning workflows
• Memory
• Workflow automation
• Ability to build agents that can interact with tools, APIs, databases and external systems.

6. LangChain / LangGraph

• Strong hands-on experience with LangChain and/or LangGraph.
• Experience building LLM workflows and agent-based applications.
• Understanding of:
• Chains
• Agents
• Tools
• State management
• Graph-based workflows
• Agent orchestration
• Retrieval workflows
• Experience designing scalable Agentic AI workflows.

7. LLM Fine-Tuning

• Hands-on experience with LLM fine-tuning.
• Understanding of techniques such as:
• Supervised Fine-Tuning (SFT)
• Parameter-Efficient Fine-Tuning
• LoRA
• QLoRA
• Experience preparing datasets for fine-tuning.
• Ability to evaluate fine-tuned models against baseline models.
• Understanding of model optimization and inference considerations.

8. BERT / LLaMA / Open-Source LLMs

Experience working with one or more open-source / transformer-based models such as:

• BERT
• LLaMA / Llama
• Mistral
• Gemma
• Qwen
• Other open-source LLMs

Candidate should understand model loading, inference, fine-tuning and evaluation.

9. PySpark

• Strong experience with PySpark for large-scale data processing.
• Experience working with large datasets and distributed data processing.
• Knowledge of:
• Data transformations
• Data cleaning
• Aggregations
• Joins
• Spark SQL
• Performance optimization
• Ability to build scalable data processing pipelines.

10. Model Validation & Evaluation

• Experience validating and evaluating ML and GenAI models.
• Understanding of traditional ML evaluation metrics.
• Experience evaluating LLM/RAG applications using relevant quality metrics.
• Ability to compare model performance and identify areas for improvement.
• Experience with:
• Accuracy
• Precision
• Recall
• F1 Score
• ROC-AUC
• Retrieval metrics
• LLM response quality
• Groundedness / relevance
• Experience designing evaluation datasets and test cases is preferred.

11. AI Tracing / Observability

• Experience with AI/LLM tracing and observability.
• Ability to monitor AI applications in production.
• Experience tracking:
• LLM requests/responses
• Latency
• Token usage
• Errors
• Retrieval performance
• Agent/tool execution
• Model performance
• Exposure to tools/frameworks such as LangSmith, OpenTelemetry, Arize Phoenix, MLflow or similar is preferred.

12. Model Deployment

• Experience deploying ML/LLM/GenAI solutions into production.
• Exposure to cloud and/or on-premise model deployment.
• Experience with model serving, APIs and production inference.
• Knowledge of deployment environments such as:
• AWS
• Azure
• GCP
• On-premise infrastructure
• Experience with Docker, APIs and CI/CD is an advantage.

Key Responsibilities

• Design, develop and deploy Data Science, Machine Learning and GenAI solutions.
• Build production-ready RAG and Agentic AI applications.
• Develop intelligent agents capable of tool calling, reasoning and multi-step task execution.
• Build LLM-powered applications using LangChain/LangGraph.
• Work with open-source LLMs including BERT, LLaMA and other transformer-based models.
• Fine-tune LLMs for specific business use cases.
• Develop scalable data processing pipelines using PySpark.
• Perform data analysis, feature engineering and statistical modeling.
• Develop and maintain model validation and evaluation frameworks.
• Evaluate ML and LLM models using appropriate performance and quality metrics.
• Implement AI tracing, monitoring and observability for production GenAI systems.
• Deploy models and AI applications in cloud or on-premise environments.
• Optimize model performance, response quality, latency and cost.
• Troubleshoot issues related to model inference, retrieval, agents and LLM workflows.
• Collaborate with Data Scientists, ML Engineers, Software Engineers and business stakeholders.
• Convert business requirements into scalable AI/ML solutions.

Good to Have

• Experience with Vector Databases such as:
• FAISS
• Pinecone
• Weaviate
• Milvus
• Chroma
• Azure AI Search
• Experience with MLflow or similar ML lifecycle tools.
• Experience with Docker/Kubernetes.
• Experience with REST APIs / FastAPI.
• Knowledge of cloud AI/ML services.
• Experience with MLOps / LLMOps.
• Experience with multi-agent frameworks other than LangChain/LangGraph.
• Experience working with enterprise GenAI applications.

Ideal Candidate Profile

The ideal candidate should be a Data Scientist / ML Engineer with strong GenAI and Agentic AI experience, rather than a pure Python developer.

A strong candidate would typically have:

Data Science + Python + ML + Statistics + GenAI/LLM + RAG + Agentic AI + LangChain/LangGraph + LLM Fine-Tuning + Open-Source LLMs + PySpark + Model Evaluation + AI Observability + Model Deployment.

Core Mandatory Skills

Data Science, Python, Machine Learning, Statistics/ML Fundamentals, GenAI/LLM, RAG, Agentic AI, LangChain/LangGraph, LLM Fine-Tuning, BERT/LLaMA/Open-Source LLMs, PySpark, Model Validation/Evaluation, AI Tracing/Observability, Cloud/On-Prem Model Deployment.

We are looking for an IoT Engineer to build connected devices and their cloud integrations.

Responsibilities

• Develop firmware and software for IoT devices
• Integrate sensors and microcontrollers
• Connect devices to cloud platforms using MQTT and REST
• Test, debug and improve device reliability

Requirements

• 1+ years of IoT or embedded development
• Hands-on experience with microcontrollers and sensors
• Knowledge of IoT protocols such as MQTT

Dear Candidate,

Greeting from NAM Info Pvt Ltd.

We have a role for Camstar (Siemens Opcenter) position with NAM Info.

This role will be permanent with NAM info and deploy to client location BANGALORE~PUNE~HYDERABAD.

Work Mode: WORK FROM OFFICE

Notice Period: Immediate to 15 days Max

A decent hike can be provided based on current CTC

Role Descriptions:

Exp Range: 2 – 4 years

Key Responsibilities*

Forgerock Identity Management Role Descriptions: Strong hands-on experience with Ignition SCADA (Vision andor Perspective) Proficiency in Python scripting (Jython) Experience with SQL and relational databases Knowledge of industrial communication protocols (OPC UA| Modbus| EthernetIP) Understanding of SCADA| HMI| MES concepts Experience integrating with PLCs and industrial devices

Essential Skills: Camstar siemens

Desire candidate

• Candidate should have valid PF.

Key Skills:

• Agentic AI / AI Agents

• Python or Java

• LLMs & Generative AI

• RAG & Vector Databases

• LangChain / LangGraph / AutoGen / CrewAI

• REST APIs & Microservices

• Prompt Engineering

• AI Workflow Automation

Roles & Responsibilities:

• Design and develop AI agents and agentic workflows

• Build scalable backend services using Python or Java

• Integrate LLMs, APIs, tools, and external systems into AI workflows

• Develop RAG-based solutions and intelligent automation

• Design multi-step AI workflows with tool/function calling

• Evaluate, monitor, and optimize AI agent performance

• Collaborate with engineering and product teams to deliver production-ready AI solutions

We are hiring a Data Engineer to build reliable pipelines and data platforms.

Responsibilities

• Build and maintain batch and streaming data pipelines
• Orchestrate workflows with Apache Airflow
• Model and optimise data in the warehouse
• Monitor data quality and pipeline health

Requirements

• 1+ years of data engineering
• Strong Python and SQL skills
• Experience with Airflow or a similar orchestrator

1st virtual , 2nd round F2F

Python pyspark, SQL, data engineer

5+yrs

9+yrs

Bangalore/Hyderabad

immediate to 15days.

Job Description – Azure Data Engineer

Role: Azure Data Engineer

Experience: 9+ Years

Location: Bangalore / Hyderabad

Notice Period: Immediate to 15 Days

Interview Process: 1st Round – Virtual | 2nd Round – F2F

Mandatory Skills

• Python
• PySpark
• SQL
• Azure Data Engineering

Job Description

We are looking for an experienced Azure Data Engineer with 9+ years of experience and strong hands-on expertise in Python, PySpark, SQL, and Azure Data Engineering.

Key Responsibilities

• Develop and maintain scalable data engineering solutions using Azure.
• Build and optimize data processing pipelines using PySpark and Python.
• Write complex SQL queries for data extraction and transformation.
• Work with Azure data services and cloud-based data platforms.
• Perform data processing, transformation, and integration.
• Troubleshoot data pipeline and production issues.
• Collaborate with technical and business teams to deliver data solutions.

Preferred: Immediate to 15 Days joiners.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Preferred qualifications:

• Master’s degree or PhD in Computer Science or a related field with a focus on Artificial Intelligence (AI) or Machine Learning (ML).
• 7 years of software experience designing and deploying large-scale AI/ML applications and complex models.
• Experience with MLOps, establishing best practices for production model monitoring, maintenance, and lifecycle management.
• Experience leading and mentoring engineers, and translating complex business objectives into scalable AI-driven roadmaps.
• Experience architecting scalable data pipelines using BigQuery, Beam, or Dataflow, and deploying models on Google Cloud Platform.
• Understanding of Python and frameworks like TensorFlow, JAX, and Scikit-learn, with deep statistical modeling knowledge.

About the job

The People Operations Engineering team is dedicated to building innovative and scalable technology solutions that empower a global workforce. Leveraging the power of data, AI, and machine learning, the team optimizes HR processes, enhances employee experiences, and drives organizational efficiency. Joining this team offers the opportunity to lead the application of AI to solve complex, real-world business challenges.

We are seeking a highly experienced and results-oriented Senior AI Software Engineer to join the Human Resources Engineering (HRE) team in Hyderabad.

In this role, you will serve as a technical leader, driving the design, development, and deployment of sophisticated AI-powered solutions that significantly impact employees across the organization. You will work on large-scale infrastructure, mentor a talented team of engineers, collaborate with cross-functional stakeholders, and help shape the future of HR through innovative AI applications. You will be responsible for translating complex business challenges and strategic objectives into scalable, efficient AI/ML systems.

As part of the Corporate Engineering organization, you will build world-class business solutions that support a global enterprise. The team delivers end-to-end platforms, tools, and experiences that enable employees to work more effectively and drive innovation across the organization.

Responsibilities

• Lead the technical design and architecture of complex, scalable AI/ML systems and infrastructure within the HR engineering domain, ensuring high reliability, performance, and long-term sustainability.
• Drive the development of advanced AI/ML algorithms for HR applications such as talent acquisition and employee engagement using Python and frameworks like TensorFlow and JAX.
• Architect large-scale data pipelines for data ingestion, cleaning, and feature engineering using modern data processing frameworks (e.g., Beam, Dataflow), while leading root cause analysis and system troubleshooting.
• Own the end-to-end MLOps lifecycle, including model deployment, monitoring, optimization, and maintenance, while establishing best practices for software development and code quality.
• Collaborate with cross-functional stakeholders to translate business needs into scalable AI/ML solutions, mentor engineers, and drive the adoption of emerging AI technologies across the organization.

Proficient

Python Backend Development

Python, REST APIs, Microservices, FastAPI, Flask, Django, API Design, Authentication, Error Handling

Design, implement, and maintain scalable backend systems using Python frameworks. Build robust REST APIs, ensure secure authentication, and handle errors gracefully. Demonstrate expertise in microservices architecture and API design.

35

Proficient

React JS

React JS, Components, Hooks, State Management, API Integration, Responsive UI, Frontend Testing

Develop responsive and interactive user interfaces using React JS. Effectively use components, hooks, and state management. Integrate APIs and ensure frontend code is well-tested and maintainable.

30

Proficient

Gen AI / Agentic AI

LLMs, Agentic AI, LangChain, LangGraph, Google ADK, Semantic Kernel, Prompt Engineering, Tool Calling, RAG, Embeddings, Vector Search, Memory, Planning, Reasoning, Multi-Agent Systems, Guardrails, Azure OpenAI, Vertex AI, AWS Bedrock

Demonstrate hands-on experience with LLMs and agentic AI frameworks. Build, integrate, and optimize AI agents using modern tools and platforms. Show proficiency in prompt engineering, tool calling, RAG, embeddings, and multi-agent systems.

30

Advanced

Cloud & Deployment

AWS, Azure, GCP, Cloud Deployment, Containers, CI/CD, Application Hosting, Monitoring

Deploy applications to cloud platforms, manage containers, set up CI/CD pipelines, and monitor application health. Demonstrate familiarity with at least one major cloud provider.

We are seeking an experienced Automation Developer to design, develop, and enhance automation solutions that support IBM MQ Queue Manager migration initiatives. The role focuses on integrating AI-powered automation tools with existing migration platforms and processes to create a unified, scalable, and end-to-end migration framework.

The ideal candidate will possess strong software development, scripting, and automation expertise, combined with experience in enterprise infrastructure, DevOps practices, and IBM MQ technologies.

Key Responsibilities

•           Design and develop automation solutions supporting IBM MQ migration activities.

•           Integrate multiple automation tools, scripts, and workflows into a unified migration framework.

•           Develop and maintain Python, Shell, and PowerShell automation scripts.

•           Create APIs and connectors to enable seamless orchestration and tool integration.

•           Automate migration discovery, assessment, execution, validation, and reporting processes.

•           Implement AI-assisted automation capabilities to improve migration efficiency and decision-making.

•           Develop reusable automation components and frameworks to support future migration initiatives.

•           Collaborate with MQ administrators, solution architects, infrastructure teams, and business stakeholders.

•           Troubleshoot and resolve automation-related issues across migration projects.

•           Develop and maintain technical documentation, deployment guides, and operational runbooks.

•           Support CI/CD pipeline implementation and automated deployment processes.

•           Ensure automation solutions adhere to enterprise security, compliance, and operational standards.

Required Technical Skills

Primary Skills

•           Python Development

•           Shell Scripting (Linux/Unix)

•           PowerShell Scripting

•           REST API Development and Integration

•           JSON/XML Data Processing

•           Git/GitHub Version Control

Automation & DevOps

•           Workflow Automation

•           Jenkins, Azure DevOps, or GitHub Actions

•           CI/CD Pipeline Development

•           Infrastructure as Code concepts

•           Ansible or Terraform (Preferred)

IBM MQ Skills

•           IBM MQ Queue Manager configuration and administration

•           MQ migration and deployment concepts

•           Queue Manager migration strategies

•           IBM MQ automation and scripting

Required Experience:

•           5+ years of experience in automation development.

•           Strong programming experience with Python and scripting technologies.

•           Hands-on experience designing and implementing automation solutions and APIs.

•           Experience integrating multiple automation tools into unified workflow solutions.

•           Solid understanding of software development life cycle (SDLC) and DevOps practices.

•           Experience working with enterprise infrastructure and middleware technologies.

•           Experience in Agile/Scrum delivery environments.

•           Exposure to AI-assisted automation technologies is highly desirable.

•           Prior experience with IBM MQ administration or migration projects is preferred.

Key Competencies:

•           Automation-first mindset

•           Software development and integration expertise

•           Problem-solving and troubleshooting skills

•           Strong analytical and critical-thinking abilities

•           Excellent communication and stakeholder management skills

•           Team collaboration and leadership capabilities

•           Continuous improvement orientation

•           Documentation and knowledge-sharing skills

Success Measures:

The successful candidate will be measured on:

•           Reduction in manual migration effort through automation.

•           Increased automation coverage across migration activities.

•           Successful integration of AI MQ Automation with existing migration tools.

•           Creation of a scalable migration framework supporting future migration programs.

•           Improved migration quality, consistency, and execution speed.

•           Reduced migration risks and operational issues through automation-driven processes.

match ths profile and rate me out of 10

We are hiring a Robotics Engineer to build software for autonomous robots.

Responsibilities

• Develop robot software with ROS
• Work on perception, motion planning and control
• Test on real hardware and in simulation
• Debug and improve system reliability

Requirements

• 1+ years in robotics software
• Hands-on experience with ROS
• Strong C++ or Python

We are hiring an NLP Engineer to build language understanding and text processing systems.

Responsibilities

• Build NLP models for classification, extraction and search
• Fine-tune transformer models with Hugging Face
• Build evaluation datasets and metrics
• Deploy and monitor models in production

Requirements

• 1+ years of hands-on NLP work
• Strong Python and PyTorch
• Experience with transformers or LLMs

We are looking for a Data Scientist to turn data into models and insights that drive business decisions.

Responsibilities

• Build predictive and statistical models
• Analyse large datasets with Python and SQL
• Design experiments and measure impact
• Present findings clearly to business teams

Requirements

• 1+ years in a data science role
• Strong Python, Pandas and statistics
• Experience with scikit-learn or similar ML libraries

We are hiring a Python Backend Developer to build fast, reliable APIs and backend services.

Responsibilities

• Build REST APIs with FastAPI or Flask
• Design database schemas and queries in PostgreSQL
• Containerise and deploy services with Docker
• Write clean, tested and maintainable Python

Requirements

• 1+ years of backend development in Python
• Experience with FastAPI, Flask or a similar framework
• Good SQL and database design skills

We are looking for a Snowflake Data Engineer to build and optimise our cloud data warehouse.

Responsibilities

• Design schemas and data models in Snowflake
• Build ELT pipelines with dbt and Python
• Tune warehouse performance and cost
• Manage access, security and data sharing

Requirements

• 2+ years with Snowflake
• Strong SQL and data modelling skills
• dbt experience is a plus

1st virtual , 2nd round F2F

Python pyspark, SQL, data engineer

5+yrs

Bang/hyderabad

immediate to 15days.

Python Full Stack GenAI Engineer

Experience: 5+ Years

Location: Bangalore / Hyderabad

Role Overview:

We are looking for a Python Full Stack GenAI Engineer with strong hands-on experience in Python development and Generative AI solutions.

Must-Have Skills:

• Python – Strong hands-on experience
• Generative AI / GenAI
• LLMs & Prompt Engineering
• LangChain / LangGraph
• RAG & Vector Databases
• REST APIs / FastAPI
• React.js / Frontend development
• SQL
• AI Agent / Agentic AI experience is a plus

Responsibilities:

• Develop scalable Python-based applications with GenAI capabilities
• Build LLM, RAG and AI Agent solutions
• Develop REST APIs using FastAPI
• Integrate AI services with full-stack applications
• Work with frontend technologies such as React.js
• Design and optimize production-ready GenAI solutions

Interested candidates can apply with their updated resume.

🚨 Hiring – Data Scientist | Python + Agentic AI

💼 Experience: 5+ Years

Must Have:

• Strong Data Science experience

• Python

• Agentic AI / AI Agents

• Generative AI / LLMs

• RAG / Vector Databases

• LangChain / LangGraph or similar Agent Frameworks

• Machine Learning & NLP

Devops + Python 

Mandatory: Python+Kubernetes Containerisation+ DevOps Exposure+ Cloud Exposure(any)

4-8 years /16 LPA

10+ years /26 LPA

Bangalore/Hyderabad

immediate to 15 days.

Job Description – DevOps + Python

Job Title: DevOps + Python Developer

Experience: 4–10 Years

Location: Bangalore / Hyderabad

Notice Period: Immediate to 15 Days

Mandatory Skills

• Python
• Kubernetes
• Containerization
• DevOps
• Cloud Exposure – Any Cloud platform (AWS / Azure / GCP)

Job Description

We are looking for experienced DevOps + Python professionals with strong hands-on experience in Python development and DevOps practices.

The candidate should have practical experience with Kubernetes and containerization, along with exposure to cloud platforms and DevOps processes.

Key Responsibilities

• Develop and maintain applications/scripts using Python.
• Work with Kubernetes and containerized environments.
• Support DevOps processes and automation.
• Work with cloud platforms and cloud-based environments.
• Collaborate with development and infrastructure teams.
• Troubleshoot and resolve deployment and environment-related issues.

Responsibilities and JD

Job Description: We are looking for a Senior Developer with strong expertise in PySpark, Databricks, and Snowflake to build scalable data engineering solutions and enterprise data platforms.

Key Responsibilities:

1. Design, develop, and maintain ETL/ELT pipelines using PySpark, Databricks, and Snowflake.
2. Develop batch and real-time data processing solutions for structured and semi-structured data.
3. Build and optimize Databricks notebooks, workflows, and Delta Lake solutions.
4. Design and implement Snowflake databases, schemas, views, stored procedures, tasks, and streams.
5. Develop scalable data models, data marts, and data warehouse solutions.
6. Optimize PySpark jobs, Databricks workloads, and Snowflake queries for performance and cost efficiency.
7. Implement data quality, validation, governance, and security controls.
8. Collaborate with business stakeholders, architects, and cross-functional teams to deliver data solutions.
9. Manage source control and CI/CD deployments using Git and Azure DevOps.
10. Troubleshoot production issues, perform root cause analysis, and ensure pipeline reliability.
11. Mentor junior team members and participate in code reviews and technical design discussions.

Required Skills: PySpark, Databricks, Snowflake, Python, SQL.

Experience: 5+ years of Data Engineering experience with strong hands-on expertise in PySpark, Databricks, and Snowflake.

Position: Senior/Lead Full Stack Engineer – Gen AI / Agentic AI

Experience: 7+ Years

Employment: Permanent Position

Location: Banglore / Hyderabad

Job Summary

We are looking for a Senior/Lead Full Stack Engineer – Gen AI / Agentic AI with strong hands-on experience in Python, React.js, MongoDB, Java/Spring Boot and Generative AI/Agentic AI.

The candidate should have experience designing and developing scalable enterprise applications and implementing production-grade LLM, RAG, AI Agent and multi-agent solutions.

Key Responsibilities

• Design, develop and maintain scalable full-stack applications using Python, React.js, MongoDB and Java/Spring Boot.
• Build production-grade Generative AI and Agentic AI applications using LLMs and modern AI frameworks.
• Develop RAG pipelines, AI agents, tool calling, memory management, planning and agent orchestration.
• Work with LangChain, LangGraph, MCP, vector databases and semantic search.
• Develop Python-based APIs, microservices and asynchronous applications using FastAPI/Flask/Django.
• Build REST APIs and event-driven microservices with focus on scalability, performance and resilience.
• Integrate LLMs, embeddings, vector stores and external enterprise tools/services.
• Implement prompt engineering, LLM evaluation, guardrails and AI observability.
• Develop responsive front-end applications using React.js.
• Work with MongoDB, SQL and hybrid data models.
• Implement CI/CD pipelines and support cloud/OCP deployments.
• Follow secure coding, testing, code quality and performance best practices.
• Participate in architecture, technical design, code reviews and mentoring of team members.
• Collaborate with business and technical stakeholders to translate requirements into scalable solutions.

Mandatory Skills

1. Python
2. React.js
3. Gen AI / Agentic AI
4. RAG + LLM
5. LangChain / LangGraph
6. MongoDB
7. Java + Spring Boot
8. REST APIs / Microservices
9. Vector Databases / Embeddings
10. MCP / AI Agent orchestration

Good to Have

• FastAPI / Flask / Django
• Kafka / Solace
• Docker / Kubernetes
• AWS / Azure / GCP / OCP
• CI/CD – Jenkins / GitHub Actions
• LLMOps / AI evaluation / observability
• ELK / Grafana / Splunk / AppDynamics
• SQL / NoSQL
• Agile/Scrum

🚀 Hiring: Python GenAI / Agentic AI Engineer

📍 Location: Hyderabad

💼 Experience: 7+ Years

🤖 GenAI / Agentic AI: 2+ Years

Mandatory Skills:

• Strong Python development experience

• Generative AI / Agentic AI

• LLMs & Prompt Engineering

• LangChain / LangGraph

• RAG & Vector Databases

• AI Agents / Multi-Agent Systems

• FastAPI / REST APIs

• LLM Integration

• Microservices & API Architecture

• Git & CI/CD

Looking for candidates with strong hands-on experience in building GenAI/Agentic AI solutions using Python, LLMs, RAG, and AI Agent frameworks.

Navtech is looking for a Performance Engineer to characterize, benchmark, and optimize application workloads across CPU and GPU architectures — in bare-metal, virtualized, and distributed/cluster environments. You'll work with cross-functional teams to identify software bottlenecks and drive performance improvements.

Working as a Performance Engineer at Navtech, you will:

• Benchmark and profile workloads on CPU/GPU architectures using tracing tools like VTune and Linux Perf.
• Analyze performance data to identify software bottlenecks and recommend optimizations.
• Tune applications running in cluster and distributed environments.
• Build performance monitoring scripts and automation using C, C++, and Python.
• Apply knowledge of server ecosystem components (memory, storage, networking), virtualization, and Linux internals to performance tuning.
• Document benchmarks and optimization findings for engineering and client stakeholders.
• 
  

Who Are We Looking For Exactly?

• 2+ years of experience in bare-metal and virtual machine environments, with 2+ years of software development in C, C++, and Python.
• Hands-on experience with benchmarking, tracing tools, VTune, and Linux Perf.
• Working knowledge of server architecture, virtualization, and Linux OS internals.
• Experience with distributed/cluster application environments.
• Exposure to simulation technologies (functional, cycle-accurate/timing, performance) and profile-guided optimization is a plus.
• Strong problem-solving, communication, and documentation skills.
• B.S./M.S. in Computer Engineering, Computer Science, or related field.

Key Responsibilities

• Design, develop, and maintain scalable Python backend applications for enterprise use cases.
• Develop robust REST APIs and microservices using Python frameworks such as FastAPI, Flask, or Django.
• Design and implement scalable backend services with proper API integration, authentication, error handling, logging, and monitoring.
• Develop responsive and scalable React.js frontend applications.
• Implement React Hooks, state management, API integration, reusable components, and frontend development.
• Integrate React.js applications with Python backend APIs and microservices.
• Design and develop Generative AI and LLM-powered applications.
• Build and integrate Agentic AI / AI Agent solutions for enterprise use cases.
• Develop RAG (Retrieval-Augmented Generation) pipelines using enterprise data and knowledge sources.
• Work with embeddings, vector databases, and vector search for semantic retrieval and knowledge-based applications.
• Develop AI agent workflows using frameworks such as LangChain, LangGraph, Google ADK, or Semantic Kernel.
• Implement tool calling and function calling to enable AI agents to interact with APIs, databases, enterprise systems, and external services.
• Apply prompt engineering techniques to improve LLM response quality, accuracy, consistency, and reliability.
• Integrate LLMs and GenAI capabilities into full-stack applications.
• Develop multi-step AI workflows, agent orchestration, and intelligent automation solutions.
• Design APIs and services for seamless integration between AI components, backend services, databases, and frontend applications.
• Work with cloud platforms such as AWS, Azure, or GCP for application and AI solution deployment.
• Develop production-ready applications with focus on scalability, performance, security, reliability, and maintainability.
• Troubleshoot and optimize backend, frontend, API, RAG, LLM, and Agentic AI components.
• Collaborate with architects, software engineers, AI/ML engineers, product teams, and business stakeholders.
• Participate in code reviews, technical discussions, testing, deployment, and production support.

Mandatory Skills

• Python Backend Development
• REST API / Microservices
• FastAPI / Flask / Django
• React.js
• React Hooks / State Management
• Frontend Development & API Integration
• GenAI / LLM
• Agentic AI
• RAG
• Embeddings / Vector Search
• LangChain / LangGraph / Google ADK / Semantic Kernel
• Prompt Engineering
• Tool Calling / Function Calling
• Cloud – AWS / Azure / GCP

Preferred Candidate Profile

• 8.5+ years of overall software development experience.
• Strong hands-on experience in Python backend development and API/microservices development.
• Strong experience in React.js and full-stack application development.
• Practical experience building GenAI/LLM applications.
• Hands-on experience with Agentic AI and AI agent frameworks.
• Good understanding of RAG, embeddings, vector search, and LLM-based application architecture.
• Experience with LangChain, LangGraph, Google ADK, Semantic Kernel, or equivalent agent frameworks.
• Strong understanding of prompt engineering and tool/function calling.
• Experience integrating AI capabilities with APIs, databases, enterprise applications, and external systems.
• Hands-on experience with at least one major cloud platform such as AWS, Azure, or GCP.
• Strong problem-solving, debugging, communication, and collaboration skills.
• Candidates should be available for immediate / short-term joining.

SONiC Forwarding Developer

Experience: 10+ Years

Location: Bangalore / Hyderabad / Delhi / Mumbai

Work Mode: Onsite

Contract Duration: 6 Months

DATA CENTER NETWORKING & SYSTEMS SOFTWARE ENGINEERING

Executive Role Summary

We are seeking an experienced SONiC Forwarding Developer with 10+ years of software engineering expertise in low-level systems programming and networking data plane architectures.

In this role, you will design, develop, and benchmark high-performance forwarding software on the Software for Open Networking in the Cloud (SONiC) operating system. You will collaborate with ASIC hardware vendors and cross-functional teams to engineer line-rate L2/L3 forwarding, ACL, and QoS mechanisms for large-scale data center networks.

1. Key Responsibilities

• Architect, develop, and maintain high-performance network forwarding software using C and C++, with Python and Go tooling.
• Work with switching silicon/ASIC vendors to implement, validate, and tune hardware-specific forwarding features through SAI.
• Design, implement, and debug forwarding pipelines including ACL, QoS, queue scheduling, and traffic shaping.
• Develop L2/L3 packet switching and routing solutions, including firewall integrations, L2VPN and L3VPN.
• Work with data center networking protocols such as BGP, OSPF, EVPN, and VXLAN.
• Profile and optimize software performance, memory utilization, cache locality, and latency.
• Collaborate with hardware, QA, and network operations teams for testing, debugging, and product delivery.

SAO Orchestration – NSO Profile

Job Title: SAO Orchestration – NSO Profile

Experience: 5+ Years

Location: Bangalore / Hyderabad / Mumbai / Delhi

Work Mode: Onsite

Contract Duration: 6 Months

Job Description

We are looking for an experienced SAO Orchestration / Cisco NSO Engineer with strong expertise in network automation, service orchestration, and software development.

Key Responsibilities

• Design and develop network service orchestration solutions using Cisco NSO.
• Develop and maintain YANG-based service models.
• Build network automation workflows using Python.
• Develop and integrate REST APIs for network and service orchestration.
• Work with Kubernetes (K8s) and containerized environments.
• Automate network configuration and service provisioning across multi-vendor environments.
• Integrate orchestration platforms with network devices and external systems.
• Troubleshoot and resolve issues related to network automation and orchestration.
• Collaborate with network, software, and infrastructure teams.

Job Summary: GCP Data Engineering Lead

Experience: 9+ Years

Location: Bangalore / Hyderabad

Notice Period: Immediate to 15 Days

Key Skills:

• Strong experience in GCP Data Engineering
• Proven Technical Lead / Lead experience
• Strong programming skills in Python
• Hands-on experience with PySpark
• Strong expertise in SQL / PL-SQL
• Good understanding of GCP data services and data engineering concepts
• Experience in designing and developing scalable data pipelines
• Strong problem-solving and technical leadership skills

Roles & Responsibilities:

• Lead the design and development of scalable GCP data engineering solutions.
• Develop and optimize data pipelines using Python, PySpark and SQL/PL-SQL.
• Design data processing solutions and ensure performance and scalability.
• Provide technical leadership, conduct code reviews, and mentor team members.
• Collaborate with business and technical teams to understand requirements and deliver data solutions.
• Troubleshoot issues and ensure quality across the data engineering lifecycle.

Role: Python + Agentic AI Engineer

We are looking for an experienced Python + Agentic AI Engineer with strong expertise in developing AI-powered applications and autonomous agent-based solutions.

Key Skills / Requirements:

• Strong hands-on experience in Python

• Experience with Agentic AI / AI Agents

• Hands-on with LangChain / LangGraph or similar agent frameworks

• Experience with Generative AI and LLMs

• Strong understanding of RAG (Retrieval-Augmented Generation) and Vector Databases

• Experience developing REST APIs using FastAPI

• Knowledge of Multi-Agent Systems, Tool/Function Calling and Agent Workflows

• Experience integrating LLMs with enterprise applications/APIs

• Exposure to cloud-based AI services is an advantage

Preferred Profile: Python Developer / AI Engineer / Generative AI Engineer / Agentic AI Engineer with hands-on experience building production-ready AI solutions.

Job Description

We are looking for an experienced Python Full Stack – GenAI / Agentic AI Engineer with 7+ years of experience in software development and strong hands-on expertise in Python backend development, React JS, Generative AI, and Agentic AI.

The ideal candidate should have experience building scalable backend services, modern web applications, and AI-powered applications using LLMs, RAG, agentic frameworks, and cloud platforms.

Key Responsibilities

• Design, develop, and maintain scalable backend applications using Python.
• Develop robust REST APIs and microservices using FastAPI, Flask, or Django.
• Design API architecture, authentication mechanisms, error handling, and integrations.
• Develop responsive and interactive frontend applications using React JS.
• Work with React components, hooks, state management, and API integrations.
• Build and integrate Generative AI and Agentic AI applications using LLMs.
• Develop AI agents using frameworks such as LangChain and LangGraph.
• Implement RAG, embeddings, vector search, tool calling, memory, planning, and reasoning.
• Design and implement multi-agent systems and AI workflows.
• Apply prompt engineering techniques and appropriate guardrails for AI applications.
• Integrate AI applications with cloud-based AI platforms and services.
• Deploy applications using containers and cloud platforms.
• Work with CI/CD pipelines and application monitoring.
• Collaborate with cross-functional teams to design and deliver scalable solutions.

Required Skills

• 7+ years of overall software development experience.
• Strong hands-on experience in Python.
• Strong experience with FastAPI and REST API development.
• Experience with microservices architecture and API design.
• Hands-on experience with React JS.
• Strong experience in Generative AI / LLM applications.
• Hands-on experience in Agentic AI development.
• Experience with LangChain / LangGraph.
• Strong understanding of RAG, embeddings, vector search, and tool calling.
• Experience with multi-agent systems, memory, planning, and reasoning.
• Experience with at least one major cloud platform – AWS / Azure / GCP.
• Experience with containers, CI/CD, deployment, and monitoring.

Preferred Skills

• Google ADK
• Semantic Kernel
• Azure OpenAI
• Vertex AI
• AWS Bedrock
• Docker / Kubernetes
• AI application monitoring and observability
• Frontend testing and application performance optimization

Opportunity Details

Role: Python Full Stack – GenAI / Agentic AI Engineer

Experience: 7+ Years

Location: Hyderabad

Employment: Permanent Position

Work Mode: As per client requirement

Mandate Skills: Python, FastAPI, React JS, Agentic AI, LangChain/LangGraph, RAG, LLM, Cloud

Interview Focus Areas

Candidates should be prepared to demonstrate practical experience in:

• Python backend development
• FastAPI and REST APIs
• Microservices and API design
• React JS
• LLM / Generative AI applications
• Agentic AI architecture
• LangChain / LangGraph
• RAG and vector search
• Tool calling and multi-agent systems
• Cloud deployment and CI/CD

Role: Full Stack Engineer

Location: Hyderabad/Mumbai/Bangalore/Gurgaon

Required Experience: 4-7 years

Role Summary:

We are looking for Software Engineers with deep experience in building highly scalable and reliable enterprise applications. We are looking for engineers who have experience building cloud based/cloud native solutions from scratch. This includes demonstrable expertise in an enterprise friendly backend framework. We expect the engineer to work in a team consisting of Project Managers, Designers, Data Scientists and Software Architects. This is an exciting opportunity to work in a fast paced and innovative environment along with a group of world class and entrepreneurial professionals.

Responsibilities:

• Design and develop user-friendly web interfaces using HTML, CSS, and JavaScript.

• Utilize modern frontend frameworks and libraries such as React, Angular, or Vue.js to build dynamic and responsive web applications.

• Develop and maintain server-side logic using programming languages such as Java, Python, Ruby, Node.js, or PHP.

• Build and manage APIs for seamless communication between the frontend and backend systems.

• Integrate third-party services and APIs to enhance application functionality.

• Implement CI/CD pipelines to automate testing, integration, and deployment processes.

• Monitor and optimize the performance of web applications to ensure a high-quality user experience.

• Stay up-to-date with emerging technologies and industry trends to continuously improve development processes and application performance.

Qualifications:

• Bachelors/Masters in Computer Science or related subjects or hands-on experience demonstrating working understanding of software applications.

• Knowledge of building applications that can be deployed in a cloud environment or are cloud native applications.

• Strong expertise in building backend applications using Java/C#/Python with demonstrable experience in using frameworks such as Spring/Vertx/.Net/FastAPI.

 • Deep understanding of enterprise design patterns, API development and integration and Test-Driven Development (TDD)

• Working knowledge in building applications that leverage databases such as PostgreSQL, MySQL, MongoDB, Neo4J or storage technologies such as AWS S3, Azure Blob Storage.

• Hands-on experience in building enterprise applications adhering to their needs of security and reliability.

• Hands-on experience building applications using one of the major cloud providers, preferably GCP.

• Working knowledge of CI/CD tools for application integration and deployment.

• Working knowledge of using reliability tools to monitor the performance of the application.

Job Summary:

We are looking for an experienced Actimize Developer with 4–6 years of experience in Actimize solutions and software development. The candidate should have strong programming skills and experience working with databases, Agile methodologies, and software design principles.

Key Responsibilities:

• Develop, configure, customize, and maintain Actimize solutions.
• Work on application development and integration using Java, C#, or Python.
• Analyze business requirements and translate them into technical solutions.
• Follow software design principles, design patterns, and coding best practices.
• Develop and optimize database queries using SQL Server, Oracle, or MySQL.
• Troubleshoot technical issues and perform root-cause analysis.
• Participate in Agile development activities such as sprint planning, stand-ups, and code reviews.
• Collaborate with cross-functional teams to deliver high-quality solutions.
• Perform application performance tuning and optimization.
• Support application testing, deployment, and production issues.

Mandatory Skills:

• Strong hands-on experience with Actimize solutions.
• Proficiency in Java, C#, or Python.
• Experience with Agile software development methodologies.
• Strong understanding of software design principles and design patterns.
• Good knowledge of SQL Server, Oracle, or MySQL.
• Strong problem-solving and analytical skills.
• Good communication and teamwork skills.

Preferred Skills:

• Experience with AWS or Azure cloud platforms.
• Knowledge of financial services and regulatory compliance.
• Familiarity with DevOps practices and tools.
• Experience in performance tuning and application optimization.

Supercharge Your Career as a Principal Lead Developer at Technoidentity!

At Technoidentity, we're a Data & AI product engineering company with over 15 years of expertise in building durable digital products, intelligent enterprise solutions, and scalable Data & AI platforms. As we continue expanding globally, it's the perfect time to join our team of tech innovators and make a lasting impact.

What’s in it for You?

Technoidentity is building a high-impact Temporal Capability Center to design, deliver, and scale resilient workflow-orchestration solutions for enterprise customers. We are seeking a hands-on, technically strong Principal Lead Developer who combines deep software-engineering expertise with solution-architecture leadership, distributed-systems knowledge, and an ownership mindset.

This role is suited to a resourceful engineer who can independently take multi-faceted business and technical requirements from discovery through design, implementation, rollout, and operational improvement. You will work directly with overseas clients, shape architecture decisions, lead multiple technical workstreams, and mentor junior developers while remaining actively involved in code, design reviews, and delivery.

The ideal candidate has strong practical experience in Python, Java, and/or TypeScript, has experience with Cloud Platforms, understands modern AI-assisted engineering practices. Experience with distributed workflow solutions using orchestration platforms such as Temporal, Cadence, Camunda, or similar technologies will be preferred, but is not a requirement.

Requirements

What Will You Be Doing?

• Lead the end-to-end technical delivery of workflow-orchestration and distributed-systems solutions for enterprise clients.
• Design robust, scalable, secure, and observable architectures using durable execution, asynchronous messaging, APIs, event-driven patterns, and cloud-native components.
• Build production-grade services and workflow implementations using Python, Java, and/or TypeScript.
• Design and implement long-running business processes using orchestration frameworks such as Temporal, Cadence, Camunda, or equivalent platforms.
• Apply distributed-systems principles to address reliability, idempotency, retries, timeouts, compensating transactions, eventual consistency, failure recovery, and data consistency.
• Design and implement Saga patterns, including orchestration-based and choreography-based approaches, for multi-service business transactions.
• Lead architecture discovery sessions, technical workshops, solution presentations, and design reviews with overseas clients and internal stakeholders.
• Translate business requirements into clear solution architectures, implementation plans, technical specifications, estimates, and delivery milestones.
• Drive multiple concurrent technical streams, identify dependencies and risks early, and maintain delivery quality under changing priorities.
• Establish engineering standards for workflow design, API contracts, error handling, versioning, testing, deployment, observability, and operational readiness.
• Use AI-assisted SDLC practices responsibly to improve developer productivity, code quality, test coverage, documentation, and delivery velocity.
• Design and contribute to agentic orchestration solutions, including coordination of AI agents, tool/API integrations, workflow state management, guardrails, human-in-the-loop controls, and evaluation approaches where relevant.
• Perform hands-on development of critical components, prototypes, integrations, and reference implementations.
• Conduct code reviews and architectural reviews, ensuring solutions are maintainable, performant, secure, and aligned with engineering best practices.
• Mentor and guide junior developers; support technical growth through pairing, reviews, reusable patterns, technical sessions, and constructive feedback.
• Collaborate with delivery, product, platform, QA, DevOps, security, and client teams to ensure successful implementation and production adoption.
• Contribute reusable assets, accelerators, templates, documentation, and best practices to the Temporal Capability Center.

Benefits

What Makes You the Perfect Fit?

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical discipline, with 6+ years of relevant work experience.
• Significant professional software-development experience, including experience leading technical delivery and mentoring engineering teams.
• Strong hands-on proficiency in at least one of the following languages:

o  Python

o  Java

o  TypeScript

• Demonstrated experience designing and building distributed, scalable, highly available, or event-driven systems.
• Strong understanding of microservices architecture, REST and/or asynchronous APIs, message-driven systems, and integration patterns.
• Practical expertise with distributed-systems concerns, including:

o  Idempotency and duplicate-message handling

o  Retries, backoff, timeouts, and circuit-breaking strategies

o  Failure handling and recovery

o  Eventual consistency and data synchronization

o  State management for long-running processes

o  Observability, logging, metrics, tracing, and operational debugging

• Strong understanding and practical application of the Saga pattern and compensating-transaction design.
• Experience designing solution architectures and communicating technical trade-offs to both engineering and business stakeholders.
• Ability to lead junior developers through technical direction, task decomposition, code review, and mentorship.
• Strong written and verbal communication skills in English.
• High ownership, self-motivation, adaptability, and the ability to make sound decisions in ambiguous and fast-moving environments.

Preferred Qualifications

• Production experience with Temporal, Cadence, Camunda, AWS Step Functions, Azure Durable Functions, Netflix Conductor, Apache Airflow, or comparable orchestration technologies..
• Experience migrating from legacy schedulers, BPM platforms, or synchronous microservice flows to durable workflow orchestration.
• Experience building agentic or AI-enabled applications using LLMs, tool calling, agent frameworks, retrieval-augmented generation, MCP, guardrails, or evaluation frameworks.
• Practical use of AI coding assistants and AI-aided SDLC workflows for planning, implementation, testing, code review, documentation, and troubleshooting.
• Cloud-native development experience on AWS, Azure, Google Cloud Platform, or a hybrid-cloud environment.
• Experience with Kubernetes, Docker, CI/CD pipelines, Infrastructure as Code, and container-based deployments.
• Experience with event-streaming and messaging platforms such as Kafka, RabbitMQ, cloud queues, or pub/sub systems.
• Experience with relational and NoSQL databases, data-modeling strategies, and transactional/outbox patterns.
• Experience with API gateways, security controls, OAuth/OIDC, secrets management, and secure service-to-service communication.
• Familiarity with domain-driven design, event sourcing, CQRS, and enterprise integration patterns.
• Experience in technical consulting, pre-sales support, solution accelerators, or client-facing technical leadership.

Leadership Expectations

As a Principal Lead Developer, you will be expected to:

• Act as a trusted technical advisor to clients and internal delivery teams.
• Balance architecture leadership with hands-on engineering execution.
• Proactively identify problems, propose practical solutions, and drive them to completion without waiting for detailed direction.
• Manage and prioritize several workstreams while communicating progress, risks, decisions, and dependencies clearly.
• Raise engineering quality through reusable standards, design patterns, code reviews, and mentoring.
• Build confidence with clients through technical depth, clarity, responsiveness, and reliable delivery.
• Foster a collaborative, accountable, learning-oriented engineering culture within the Temporal Capability Center.

Success Measures

Success in this role will be measured by:

• Delivery of reliable, scalable, and maintainable orchestration solutions that solve real client problems.
• Quality of solution architecture, code, technical documentation, and operational readiness.
• Effective application of workflow-orchestration and Saga patterns to complex distributed business processes.
• Ability to independently lead client-facing technical discussions and turn them into executable delivery plans.
• Delivery predictability across multiple concurrent technical initiatives.
• Measurable improvement in engineering productivity and quality through AI-assisted SDLC practices.
• Growth, engagement, and technical effectiveness of junior developers under your guidance.
• Contribution of reusable Temporal Capability Center assets, reference architectures, and best practices.

Why Join Technoidentity’s Temporal Capability Center?

• Work on complex, high-value enterprise workflow and distributed-systems challenges.
• Help shape a specialized capability center focused on durable execution, orchestration, AI-enabled delivery, and modern architecture.
• Collaborate with overseas clients and multidisciplinary global teams.
• Influence technical standards, reusable accelerators, and the future direction of orchestration solutions at Technoidentity.
• Take on a role with meaningful architecture ownership, technical leadership, and hands-on engineering impact.

We are currently hiring for the position of Python – GenAI / Agentic AI Engineer for one of our esteemed clients.

Please find the opportunity details below:

Position: Python – GenAI / Agentic AI Engineer

Location: Hyderabad

Experience: 7+ Years

GenAI / Agentic AI Experience: 2+ Years

Work Mode: Hybrid

Job Description

We are looking for an experienced Python professional with strong hands-on expertise in Generative AI / Agentic AI and LLM-based application development.

Core Mandatory Skills

• Python
• Generative AI / GenAI
• Agentic AI
• LLM
• LangChain / LangGraph
• Google ADK / Semantic Kernel / Equivalent Agent Frameworks
• RAG
• Tool Calling
• Memory, Planning & Reasoning
• Multi-Agent Orchestration
• Structured Outputs
• Human-in-the-Loop / Human Approval Controls
• REST APIs
• Relational & NoSQL Databases
• Vector Stores / Vector Databases
• Message Queues
• Enterprise System Integration

Key Responsibilities

• Design and implement Generative AI and Agentic AI capabilities using LLM platforms and frameworks.
• Build AI agents using LangChain, LangGraph, Google ADK, Semantic Kernel, or equivalent frameworks.
• Implement tool calling, RAG, memory, planning, reasoning, and multi-agent orchestration.
• Develop structured AI workflows with human approval controls.
• Integrate AI applications with REST APIs, databases, vector stores, message queues, and enterprise systems.
• Develop scalable and production-ready Python-based AI applications.

Python (Gen AI or Agentic AI) - Hyderabad

7 + years of exp with more than 2 + years on Gen AI/Agentic AI.

Design and implement Generative AI and Agentic AI capabilities using LLM platforms and frameworks such as LangChain, LangGraph, Google ADK, Semantic Kernel, or equivalent.

Implement tool calling, RAG, memory, planning, reasoning, multi-agent orchestration, structured outputs, and human approval controls.

Integrate applications with REST APIs, relational and NoSQL databases, vector stores, message queues, and enterprise systems.

We are currently hiring for the position of Python – GenAI / Agentic AI Engineer for one of our esteemed clients.

Please find the opportunity details below:

Position: Python – GenAI / Agentic AI Engineer

Location: Hyderabad

Experience: 7+ Years

GenAI / Agentic AI Experience: 2+ Years

Work Mode: Hybrid

Job Description

We are looking for an experienced Python professional with strong hands-on expertise in Generative AI / Agentic AI and LLM-based application development.

Core Mandatory Skills

• Python
• Generative AI / GenAI
• Agentic AI
• LLM
• LangChain / LangGraph
• Google ADK / Semantic Kernel / Equivalent Agent Frameworks
• RAG
• Tool Calling
• Memory, Planning & Reasoning
• Multi-Agent Orchestration
• Structured Outputs
• Human-in-the-Loop / Human Approval Controls
• REST APIs
• Relational & NoSQL Databases
• Vector Stores / Vector Databases
• Message Queues
• Enterprise System Integration

Key Responsibilities

• Design and implement Generative AI and Agentic AI capabilities using LLM platforms and frameworks.
• Build AI agents using LangChain, LangGraph, Google ADK, Semantic Kernel, or equivalent frameworks.
• Implement tool calling, RAG, memory, planning, reasoning, and multi-agent orchestration.
• Develop structured AI workflows with human approval controls.
• Integrate AI applications with REST APIs, databases, vector stores, message queues, and enterprise systems.
• Develop scalable and production-ready Python-based AI applications.

🚨 Hiring: GCP Data Engineer

We are looking for experienced GCP Data Engineers to join our team!

🔹 Experience: 9+ Years

🔹 Relevant Experience: 4+ Years in GCP Data Engineering

🔹 Required Skills: GCP, Oracle PL/SQL, Python, PySpark

🔹 Location: Bangalore / Hyderabad

🔹 Notice Period: Immediate to 10 Days Preferred

Key Skills:

🔹 Strong hands-on experience in GCP Data Engineering

🔹 Good experience with PySpark & Python

🔹 Strong knowledge of Oracle PL/SQL

🔹 Experience in data processing, ETL, and data pipelines

🔹 Good understanding of cloud-based data engineering

📩 Interested candidates can share their updated CV via DM.

#Hiring #GCPDataEngineer #GCP #DataEngineering #PySpark #Python #OraclePLSQL #DataEngineer #BangaloreJobs #HyderabadJobs #ImmediateJoiner #TechJobs #ITJobs #HiringNow

GCP Data Engineering Lead

Experience: 9+ Years

Lead Experience: 2+ Years

Location: Bangalore / Hyderabad

Key Skills:

• Strong experience in GCP Data Engineering and BigQuery
• Hands-on experience with Oracle Exadata / PL-SQL
• Strong knowledge of PySpark / Scala and Python
• Experience with GoldenGate, Kafka and CDC
• Hands-on experience with Apache Airflow
• Good experience in CI/CD and DevOps practices
• Experience with Terraform / Infrastructure as Code
• Exposure to AI/LLM technologies and GenAI solutions
• Strong understanding of data architecture, ETL/ELT and data pipelines

Roles & Responsibilities:

• Lead the design and development of scalable GCP data engineering solutions.
• Design and implement batch and real-time data pipelines using BigQuery, PySpark, Kafka/CDC and Airflow.
• Work with Oracle Exadata/PL-SQL and GoldenGate for data integration and migration.
• Implement CI/CD pipelines and infrastructure automation using Terraform.
• Explore and integrate AI/LLM capabilities into data engineering solutions.
• Lead technical discussions, code reviews, solution design and mentor team members.
• Collaborate with business and technical teams to deliver high-quality data solutions.

We're looking for a Site Reliability Engineer to keep our production systems fast, reliable, and scalable. Sitting at the intersection of software engineering and operations, you'll treat infrastructure as code, automate away toil, and build the observability that lets us catch problems before customers do. You'll own uptime and on-call for critical services, lead incident response and blameless postmortems, and continuously harden the platform against failure. This role suits an engineer who is as comfortable debugging a production incident at 2 a.m. as they are writing the automation that prevents the next one.

Key Responsibilities

• Own reliability, availability, and performance of production services, including on-call rotation
• Build and maintain monitoring, alerting, and observability (metrics, logs, traces)
• Automate deployments, scaling, and operational tasks to reduce manual toil
• Manage containerized workloads on Kubernetes and cloud infrastructure
• Design and maintain CI/CD pipelines for safe, frequent releases
• Lead incident response and drive blameless postmortems with clear follow-ups
• Perform capacity planning, performance tuning, and cost optimization
• Define and track SLIs/SLOs and error budgets with product teams

Requirements

• 3+ years in SRE, DevOps, or production-focused engineering
• Strong Linux administration and hands-on Kubernetes experience
• Solid experience with monitoring/observability tools (Prometheus, Grafana, ELK, or similar)
• Cloud experience with AWS, GCP, or Azure
• CI/CD pipelines and infrastructure-as-code (Terraform, CloudFormation)
• Proficient scripting in Python and/or Bash

Nice to have

• Experience with service meshes, Helm, or GitOps (ArgoCD/Flux)
• Background in high-traffic or distributed systems

We're hiring a Data Analyst to turn raw data into clear, actionable insight. You'll partner with product, sales, marketing, and operations teams to answer their most important questions with data — building dashboards, running deep-dive analyses, and defining the metrics the business runs on. The ideal candidate is fluent in SQL, comfortable wrangling messy datasets, and just as strong at telling the story behind the numbers as they are at producing them. You'll own the accuracy and trustworthiness of the reporting stakeholders rely on to make decisions.

Key Responsibilities

• Design, build, and maintain dashboards and recurring reports across business functions
• Write and optimize SQL queries to extract, join, and transform data from multiple sources
• Run ad-hoc and deep-dive analyses to answer specific business questions
• Define, document, and standardize metrics and KPIs alongside stakeholders
• Investigate data-quality issues and ensure the numbers people see are accurate
• Translate analysis into clear recommendations and present them to non-technical audiences
• Support experimentation and A/B test analysis where relevant
• Automate repetitive reporting to free up time for higher-value analysis

Requirements

• 3+ years in a data analyst or business-intelligence role
• Strong SQL and hands-on experience with Power BI and/or Tableau
• Working knowledge of Python (pandas/numpy) for analysis
• Solid grounding in statistics and analytical methods
• Advanced Excel and strong data-visualization / storytelling skills
• Ability to work independently with stakeholders across functions

Nice to have

• Experience with cloud data warehouses (BigQuery, Snowflake, Redshift)
• Exposure to dbt or other ETL/transformation tooling

We are seeking a Senior Data Science & ML Associate with 4+ years of applied ML experience to build and ship models end-to-end from data prep and feature engineering to training, evaluation, and deployment driving measurable business impact.

Key Responsibilities

• Build, train, and evaluate ML and deep-learning models

• Engineer features and prepare data at scale

• Deploy models and monitor production performance

• Partner with stakeholders to frame problems and metrics

• Communicate results and drive decisions

• Iterate on models from business feedback

Mandatory Skills

• 4+ years applied machine learning

• Strong Python (Pandas, NumPy, scikit-learn)

• Classical ML and deep learning (TensorFlow/PyTorch)

• Solid statistics and experiment design

• SQL and data wrangling at scale

• Model deployment / MLOps exposure

Nice to Have: NLP or computer vision; cloud ML (SageMaker, Azure ML)

We're hiring an SDE 2 to build reliable, high-scale services and own features end-to-end. You'll turn ambiguous problems into clean designs, write well-tested code, and raise the engineering bar on the team.

Mandatory skills

• 5+ years shipping production software

• Strong data structures, algorithms and problem-solving

• Hands-on system design for scalable services

• Proficiency in Java or Python

• Building and consuming RESTful APIs

• Solid SQL and version control (Git)

We are looking for a Backend Software Development Engineer with 6+ years building scalable, high-availability server-side systems. You'll design and own microservices and REST APIs, model data in SQL, and deploy on AWS, partnering with product and frontend teams end-to-end.

Mandatory skills

• 6+ years of backend development in Java and/or Python

• Strong hands-on experience designing microservices and RESTful APIs

• Solid database design and SQL optimization

• Production experience on AWS (or equivalent cloud)

• Strong CS fundamentals — data structures, concurrency, system design

• Experience owning services from design through production support

Data Engineer Hiring Post

🚨 Hiring: Data Engineer | PySpark + Python + SQL

We are looking for experienced Data Engineers to join our team!

🔹 Experience: 5 to 9 Years

🔹 Locations: Bangalore / Hyderabad

🔹 Interview Process:

• 1st Round – Virtual

• 2nd Round – Face-to-Face (Karat Test)

🔑 Key Skills:

✅ PySpark

✅ SQL

✅ Python

✅ ETL

📩 Interested candidates can share their updated resume.

#Hiring #DataEngineer #PySpark #Python #SQL #ETL #BangaloreJobs #HyderabadJobs #TechHiring #ImmediateHiring

Data Engineer Short Hiring Post

🚨 Hiring: Data Engineer

🔹 Experience: 5–9 Years

🔹 Location: Bangalore / Hyderabad

🔹 Skills: PySpark, Python, SQL, ETL, CI/CD, Data Modeling

🔹 Process: L1 Virtual → L2 F2F Karat Test

🔹 F2F: Bangalore / Hyderabad Location

🔹 Positions: Immediate requirement

⚠️ Note: Candidates must be available for F2F Karat immediately after L1.

#Hiring #DataEngineer #PySpark #Python #SQL #BangaloreJobs #HyderabadJobs #Mphasis #ImmediateJoiners

• Design and implement scalable IoT solutions from sensor to cloud, ensuring seamless integration between

vehicle hardware (fuel sensors, GPS trackers, OBD devices) and the Anytime Diesel platform

• Integrate industrial and automotive sensors, microcontrollers, and gateways with the platform

• Develop, optimize, and troubleshoot data flow using protocols such as CAN bus, Modbus, RS485, TCP, and

RTU

• Manage the full IoT device lifecycle across the fleet — provisioning, remote configuration, health monitoring,

and OTA/FOTA firmware updates

• Collaborate with software, data, and operations teams to define data models and ensure clean data ingestion for

fleet analytics

• Conduct testing, debugging, and performance analysis of embedded firmware and IoT systems using tools like

oscilloscopes and logic analyzers

• Create technical documentation — architecture diagrams, API specs, and deployment guides

At Nineleaps, we work on bleeding-edge technology with class-leading engineering practices on products that touch the lives of millions of users. We endeavor on doing things the right way, while also promoting a culture of excellence.

About the Role:

We are looking for a Data Analyst with strong analytical and problem-solving skills to transform complex data into meaningful, actionable business insights. The role involves working with large datasets, conducting deep-dive analysis, driving automation, and supporting data-driven product and business decisions.

Key Responsibilities:

• Analyse historical and large datasets to understand data sources, identify trends and patterns, and uncover meaningful insights.
• Write complex SQL queries and leverage Python to perform data analysis, ad hoc investigations, and solve business problems.
• Create reports and translate analytical findings into clear, concise, and actionable recommendations for stakeholders.
• Identify opportunities to drive automation and process improvements, improving efficiency and reducing manual effort.
• Communicate data-driven insights effectively to both technical and non-technical stakeholders in a clear and impactful manner.
• Maintain accurate documentation, ensure high-quality deliverables, and consistently meet defined timelines.

Requirements:

• 3–6 years of experience in Data Analytics, Business Intelligence, Data Engineering, or a similar analytical role.
• Strong hands-on expertise in Python and advanced SQL, with the ability to work with and analyse large datasets.
• Experience working with Google Sheets, and implementing automation through data pipelines or workflows.
• Strong analytical and problem-solving skills, with the ability to interpret complex data and derive actionable insights.
• Excellent communication skills with the ability to effectively present methods, results, and recommendations to stakeholders.
• Ability to collaborate effectively with remote and geographically distributed teams across different time zones.

Company Link: https://www.nineleaps.com/

Company LinkedIn: https://www.linkedin.com/company/nineleaps/