50+ Python Jobs in Hyderabad | Python Job openings in Hyderabad

This role will report to the Chief Technology Officer

You Will Be Responsible For

* Driving decision-making on enterprise architecture and component-level software design to our software platforms' timely build and delivery.

* Leading a team in building a high-performing and scalable SaaS product.

* Conducting code reviews to maintain code quality and follow best practices

* DevOps practice development on promoting automation, including asset creation, enterprise strategy definition, and training teams

* Developing and building microservices leveraging cloud services

* Working on application security aspects

* Driving innovation within the engineering team, translating product roadmaps into clear development priorities, architectures, and timely release plans to drive business growth.

* Creating a culture of innovation that enables the continued growth of individuals and the company

* Working closely with Product and Business teams to build winning solutions

* Led talent management, including hiring, developing, and retaining a world-class team

Ideal Profile

* You possess a Degree in Engineering or a related field and have at least 20+ years of experience as a Software Engineer, with a 10+ years of experience leading teams and at least 4 Years of experience in building a SaaS / Fintech platform.

* Proficiency in MERN / Java / Full Stack.

* Led a team in optimizing the performance and scalability of a product

* You have extensive experience with DevOps environment and CI/CD practices and can train teams.

* You're a hands-on leader, visionary, and problem solver with a passion for excellence.

* You can work in fast-paced environments and communicate asynchronously with geographically distributed teams.

What's on Offer?

* Exciting opportunity to drive the Engineering efforts of a reputed organisation

* Work alongside & learn from best in class talent

* Competitive compensation + ESOPs

JD - AI/ML Engineer II - CAW Tech

About the Role

At CAW Studios, we are building the future with agentic AI systems, RAG pipelines, and intelligent automation. From

autonomous AI agents at KnackLabs to developer productivity tools at CodeKnack, we ship production-ready AI

products that solve real problems for enterprises and startups alike.

This is your chance to work on cutting-edge GenAI, LLM fine-tuning, and agent frameworks—and see your code

power products used in the real world. If you’re excited about experimenting, shipping fast, and solving complex AI

challenges hands-on, you’ll love it here.

Who should apply

Engineer with 2 to 4 years of full-time experience building high-scale software systems, with a proven track record

of deploying complex Generative AI products to production.

Role Overview

We are hiring an AI/ML Engineer II (SE2) to own the architectural implementation and deployment of production-grade

agentic AI systems. This role requires a hybrid of traditional engineering rigour (OOPS, SOLID, high-concurrency)

and advanced AI specialization to build the next generation of intelligent tools.

Responsibilities

● Independently design modular and maintainable multi-agent AI systems aligned with SOLID principles

● Build high-concurrency, async FastAPI backends for complex AI workloads with enterprise stability

● Architect sophisticated agentic workflows using LangGraph with a focus on state persistence and error-recovery

● Design and optimize RAG pipelines involving advanced chunking, hybrid search, and re-ranking

● Take ownership of containerization and cloud deployment for observable, cost-efficient AI services

● Collaborate on reusable AI components and internal frameworks to enhance team engineering velocity

Expectations

● Deep obsession with automation, DevOps, OOPS, and SOLID principles

● Advanced experience deploying RAG or agent-based systems with LangGraph orchestration

● Expert-level mastery of async Python, system thinking, and building scalable backends

● High ownership and a "production-first" mindset for end-to-end system reliability

● Hands-on experience across multiple AI modalities (Vision, Audio, Text) and their architectures

About CAW Studios

CAW Studios is a Product Engineering Company of 100+ passionate geeks. We’ve built products like Interakt,

CashFlo, KaiPulse, and FastBar and continue to run their engineering. We are also the engineering backbone for Haptik,

EmailAnalytics, GrowthZone, Reliance General Insurance, and KWE Logistics.

We are obsessed with automation, DevOps, OOPS, and SOLID principles. We don’t just stick to one tech stack we

love solving problems.

�� Know More:

Website: caw.tech

KnackLabs: knacklabs.ai

CodeKnack: codeknack.ai

Instagram: @cawstudios

✨ Join us to build, break, and innovate AI systems that redefine what’s possible

Key Responsibilities:

• Work with distributed systems and implement asynchronous programming patterns
• Design and develop scalable backend applications using Python
• Build and integrate applications leveraging LLMs or traditional Machine Learning techniques
• Develop and maintain microservices-based architectures
• Work with databases and caching systems to optimize application performance
• Participate in code reviews and maintain high code quality standards
• Write clean, maintainable, and well-documented code following best practices

Required Skills:

• 3+ years of relevant experience
• Strong understanding of distributed systems and asynchronous programming in Python
• Experience building scalable applications using LLMs or traditional ML techniques
• Hands-on experience with databases, caching mechanisms, and microservices architecture
• Good problem-solving and debugging skills

Key Responsibilities:

• Develop and deploy machine learning, deep learning, and NLP models for various business use cases.
• Build end-to-end ML pipelines including data preprocessing, feature engineering, training, evaluation, and production deployment.
• Optimize model performance and ensure scalability in production environments.
• Work closely with data scientists, product teams, and engineers to translate business requirements into AI solutions.
• Conduct data analysis to identify trends and insights.
• Implement MLOps practices for versioning, monitoring, and automating ML workflows.
• Research and evaluate new AI/ML techniques, tools, and frameworks.
• Document system architecture, model design, and development processes.

Required Skills:

• Strong programming skills in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Keras).
• Hands-on experience in building and deploying, finetuning ML/DL models in production.
• Good understanding of machine learning algorithms, neural networks, NLP, and computer vision.
• Experience with REST APIs, Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure).
• Working knowledge of MLOps tools such as MLflow, Airflow, DVC, or Kubeflow.
• Familiarity with data pipelines and big data technologies (Spark, Hadoop) is a plus.
• Strong analytical skills and ability to work with large datasets.
• Excellent communication and problem-solving abilities.
• Experience in deploying models using cloud services (AWS Sagemaker, GCP Vertex AI, etc.).
• Experience in LLM fine-tuning or Generative AI, Voice AI, is an added advantage.

Educational Qualification:

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Machine Learning, IT, from IIT/NIT colleges strongly preferred

Key Skills:

• Hands-on experience with AWS services such as EC2, S3, Lambda, API Gateway, RDS, or DynamoDB ☁️

• Basic understanding of AI/ML concepts and experience with Python-based ML libraries (NumPy, Pandas, Scikit-learn, etc.) 🤖

• Experience in Python / Node.js / Java for backend development 💻

• Understanding of REST APIs and microservices architecture

• Familiarity with Git, CI/CD pipelines, and DevOps fundamentals

• Knowledge of Docker / containerization (preferred) 🐳

• Basic understanding of cloud security, IAM roles, and policies 🔐

• Experience in using AI tools (e.g., ChatGPT, GitHub Copilot, or similar tools) for development, debugging, documentation, and productivity in day-to-day tasks ⚡

Roles & Responsibilities:

• Develop and maintain cloud-based applications on AWS ☁️

• Build and integrate APIs and backend services

• Assist in deploying, monitoring, and managing applications on AWS infrastructure

• Work with the team to integrate AI/ML models or AI-powered services into applications 🤖

• Utilize AI tools for coding assistance, debugging, automation, and improving development efficiency

• Optimize applications for performance, scalability, and reliability

• Collaborate with cross-functional teams for design, development, and deployment

• Troubleshoot and resolve cloud or application-related issues

AWS Certification is mandatory

Education Qualification:

B.Tech/M.Tech from CSE/IT/AI/ML/ECE

About the Company

TurboHire is redefining enterprise hiring through cutting-edge AI and intelligent automation.Our platform enables large organizations to hire smarter, faster, and at scale. As a rapidly growing HR Tech company, we offer an environment driven by innovation, ownership, and high-impact problem solving.

Job Overview

At TurboHire, we’re looking for a Senior Full Stack Developer who wants to build products that truly scale. This isn’t just another development role — it’s an opportunity to architect and deliver enterprise-grade AI products that solve complex, real-world challenges.

You will work across the stack with strong ownership and technical influence, solving large-scale engineering problems while collaborating with a sharp, driven, and fast-moving team. If you are passionate about clean architecture, performance, scalability, and building products that matter, this role offers the platform to do exactly that — while growing with a company that is scaling rapidly.

Key Responsibilities

●Architect and build high-impact, enterprise-grade AI-driven products

●Collaborate with designers and engineers to develop scalable web applications

●Write clean, efficient, and production-ready code

●Take end-to-end ownership of features from design to deployment and maintenance

●Ensure adherence to software engineering best practices for performance andscalability

●Leverage modern tools, frameworks, and third-party services to accelerate delivery

Eligibility Criteria

●Bachelor’s degree in Engineering, MCA, or equivalent

●Strong foundation in Object-Oriented Programming

●Experience working in Agile development environments

●Familiarity with version control systems, build tools, and web frameworks

●Proficiency in Git

●Knowledge of C# or Java is an added advantage

●1-3 years of relevant work experience

●Tech Stack: Backend = Asp.net or Java or C++

●Frontend = React or Angular or Knockout etc

●RESTful APIs

●Database - SQL Server

Role Summary:

AuxoAI is seeking a skilled and experienced Data Engineer to join our dynamic team. The ideal candidate will have 3-8 years of prior experience in data engineering, with a strong background in working on modern data platforms. This role offers an exciting opportunity to work on diverse projects, collaborating with cross-functional teams to design, build, and optimize data pipelines and infrastructure.

Responsibilities:

• Design, develop, and maintain data pipelines using Databricks (PySpark / Spark SQL)

• Build and manage data pipelines across Bronze, Silver, and Gold layers using Delta Lake

• Implement ETL/ELT workflows for batch and near real-time processing

• Work with Databricks Workflows for orchestration and job scheduling

• Leverage Unity Catalog for data governance, access control, and metadata management

• Optimize Spark jobs, cluster configurations, and cost efficiency

• Collaborate with business and analytics teams to translate requirements into scalable data models

• Integrate data from multiple sources (APIs, databases, cloud storage)

• Ensure data quality, validation, and observability across pipelines

• Troubleshoot and debug data pipeline issues, providing timely resolution and proactive monitoring

Qualifications:

• Bachelor’s degree in computer science, Engineering, or a related field.

• Overall 3+ years of prior experience in data engineering, with a focus on designing and building data pipelines

• Hands-on experience with Databricks platform and ecosystem

• Strong proficiency in Python (PySpark) and SQL

• Experience working with Delta Lake (ACID transactions, time travel, schema evolution)

• Good understanding of data warehousing concepts and dimensional modeling

• Familiarity with Unity Catalog (data governance, RBAC, lineage basics)

• Understanding of Spark performance tuning and optimization techniques

• Experience with cloud platforms (AWS / Azure / GCP)

• Working knowledge of Git and CI/CD practices

• Familiarity with implementing CI/CD processes or other orchestration tools is a plus.

Data Quality Engineer

Engineering - Hyderabad, Telangana

About Gradera — Digital Twin & Physical AI Platform 

At Gradera, we are building a next-generation Digital Twin and Physical AI platform that enables enterprises to model, simulate, and optimize complex real-world systems. Our work brings together strategy, architecture, data, simulation, and experience design to power decision-making across large-scale operational environments such as manufacturing, logistics, and supply chain networks. 

This platform-led initiative applies AI-native execution, advanced simulation, and governed orchestration to help organizations test scenarios, predict outcomes, and continuously improve performance. We operate with an enterprise-first mindset prioritizing reliability, transparency, and measurable business impact as we build intelligent systems that scale beyond a single industry or use case. 

Data Quality Engineer 

Overview 

We are seeking a detail-oriented Data Quality Engineer to ensure the integrity, accuracy, and reliability of data powering our digital twin and AI platforms. You will design and implement data quality frameworks, build automated validation pipelines, and establish quality metrics that enable trusted, simulation-ready data products. This role is critical to ensuring that operational decisions and ML models are built on a foundation of high-quality, governed data. 

Our core data quality stack includes: 

Data Quality Frameworks 

• Delta Live Tables expectations for declarative quality enforcement 
• Great Expectations for comprehensive data validation 
• Databricks data profiling and quality monitoring 

Platform & Tools 

• Databricks SQL and PySpark for quality checks at scale 
• Unity Catalog for lineage tracking and governance compliance 
• Python for custom validation logic and anomaly detection 

Observability 

• Quality metrics dashboards and alerting 
• Data profiling and statistical analysis 
• Anomaly detection and drift monitoring 

Key Responsibilities 

• Design and implement data quality frameworks using Delta Live Tables expectations and Great Expectations 
• Build automated data validation pipelines that enforce quality standards at ingestion and transformation stages 
• Develop data profiling processes to understand data distributions, patterns, and anomalies 
• Define and track data quality metrics (completeness, accuracy, consistency, timeliness, validity) 
• Implement anomaly detection mechanisms to identify data drift and quality degradation 
• Create quality dashboards and alerting systems for proactive issue identification 
• Collaborate with data engineers to embed quality checks into ETL/ELT pipelines 
• Partner with data architects to establish data quality standards and governance policies 
• Investigate and perform root cause analysis for data quality issues 
• Document data quality rules, thresholds, and remediation procedures 
• Support data certification processes for simulation-ready and ML-ready datasets 
• Drive continuous improvement in data quality practices and tooling 

Preferred Qualifications 

• 6+ years of experience in data engineering or data quality roles, with 3+ years focused on data quality 
• Track record of implementing enterprise-scale data quality frameworks 
• Experience with Lakehouse architectures (Delta Lake, Iceberg) 
• Familiarity with real-time data quality monitoring for streaming pipelines 
• Experience working in agile, cross-functional teams 

Highly Desirable 

• Experience with data quality for digital twin or simulation platforms 
• Familiarity with operational state data validation and temporal consistency checks 
• Experience with graph data quality validation (Neo4j or similar) 
• Exposure to ML data quality (feature validation, training data quality) 
• Experience with data observability platforms 
• Exposure to industrial domains such as Manufacturing, Logistics, or Transportation is a plus 

Location: Hyderabad, Telangana 

Department: Engineering 

Employment Type: Full-Time 

Senior Data (Platform) Engineer 

Location: Hyderabad | Department: Technology, Data 

About the Role 

Are you passionate about building reliable, scalable data platforms that make analytics and AI development easier? As a Senior Data Platform Engineer, you will be hands-on in building, operating, and improving our core data platform and AI/LLM enablement tooling. 

You’ll focus on infrastructure, orchestration, CI/CD, and reusable frameworks that support analytics engineering and AI-driven use cases. You’ll work closely with Analytics Engineering and Insights teams and support other departments as they integrate with our data systems. 

What You'll Do 

Data Platform & Infrastructure

• Build, deploy, and operate cloud infrastructure for data and AI workloads using Infrastructure as Code (Terraform).
• Provision and manage cloud resources across development, staging, and production environments.
• Develop and maintain CI/CD pipelines for data transformations, orchestration workflows, and platform services.
• Operate and scale containerized workloads on Kubernetes, including Airflow, internal APIs, and AI/LLM services.
• Troubleshoot and resolve infrastructure, pipeline, and orchestration failures to ensure platform reliability.
• Maintain and support existing ML services and pipelines to ensure stability and reliability (No expectation to design or develop new ML models or training pipelines).
• Continuously monitor and optimize platform performance and cost. 

Framework, Tooling and Enablement

• Build and maintain reusable frameworks and patterns for dbt, Airflow, Cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks, etc.), Internal data and AI APIs
• Build and support infrastructure and pipelines for AI/LLM-based use cases, including orchestration, integration, and serving.
• Improve developer experience for Analytics Engineering and Insights teams by reducing friction in local development, deployments, and production workflows.
• Create and maintain technical documentation and examples to support self-service analytics and data development. 

What You’ll Need 

Technical Skills & Experience

• 5+ years of experience in data engineering, platform engineering, or similar hands-on roles.
• Strong programming skills in Python and SQL.
• Hands-on experience with:
• Terraform
• Airflow
• dbt
• Kubernetes
• Cloud platforms (AWS, Google Cloud, or Microsoft Azure)
• CI/CD pipelines (GitHub Actions, GitLab CI, CircleCI, etc.)
• Cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks, etc.) 
• Strong understanding of analytical data models and how analytics teams consume data.
• Experience integrating and operating LLM-based pipelines and services (not model training). 

Soft Skills & Collaboration

• Strong problem-solving skills and ability to debug complex platform issues.
• Strong preference for declarative development, with the ability to clearly separate what a system should do from how it is implemented.
• Clear communicator who can work effectively with both technical and non-technical stakeholders.
• Pragmatic, ownership-driven mindset with a focus on reliability and simplicity. 

Why Join Us? 

We welcome people from all backgrounds who seek the opportunity to help build a future where we connect the dots for international property payments. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world of PropTech forward, together. 

Redpin, Currencies Direct and TorFX are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, colour, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.

Role & Responsibilities:

We are looking for a strong Data Engineer to join our growing team. The ideal candidate brings solid ETL fundamentals, hands-on pipeline experience, and cloud platform proficiency — with a preference for GCP / BigQuery expertise.

Responsibilities:

• Design, build, and maintain scalable data pipelines and ETL/ELT workflows
• Work with Dataform or DBT to implement transformation logic and data models
• Develop and optimize data solutions on GCP (BigQuery, GCS) or AWS/Azure
• Support data migration initiatives and data mesh architecture patterns
• Collaborate with analysts, scientists, and business stakeholders to deliver reliable data products
• Apply data governance and quality best practices across the data lifecycle
• Troubleshoot pipeline issues and drive proactive monitoring and resolution

Ideal Candidate:

• Strong Data Engineer Profile
• Must have 6+ years of hands-on experience in Data Engineering, with strong ownership of end-to-end data pipeline development.
• Must have strong experience in ETL/ELT pipeline design, transformation logic, and data workflow orchestration.
• Must have hands-on experience with any one of the following: Dataform, dbt, or BigQuery, with practical exposure to data transformation, modeling, or cloud data warehousing.
• Must have working experience on any cloud platform: GCP (preferred), AWS, or Azure, including object storage (GCS, S3, ADLS).
• Must have strong SQL skills with experience in writing complex queries and optimizing performance.
• Must have programming experience in Python and/or SQL for data processing.
• Must have experience in building and maintaining scalable data pipelines and troubleshooting data issues.
• Exposure to data migration projects and/or data mesh architecture concepts.
• Experience with Spark / PySpark or large-scale data processing frameworks.
• Experience working in product-based companies or data-driven environments.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

NOTE:

• There will be an interview drive scheduled on 28th and 29th March 2026, and if shortlisted, they will be expected to be available on these Interview dates. Only Immediate joiners are considered.

ROLE SUMMARY

The Senior Python Developer designs, builds, and improves Python and Django applications. The role includes developing end‑to‑end integrations using REST and SOAP services and delivering reliable, scalable solutions through hands‑on coding and data transformation work. The developer works closely with Business Analysts, architects, and other teams to ensure technical solutions support business needs. Key responsibilities also include improving SQL performance, taking part in code reviews, supporting DevOps workflows with Git and Azure DevOps, and helping integrate GenAI features—such as GPT models, embeddings, and agent‑based tools—into enterprise applications.

ROLE RESPONSIBILITIES

• Design and develop Python and Django applications that are scalable, secure, and maintainable.
• Implement UI components using CSS, Bootstrap, jQuery, or similar technologies as needed.
• Develop integrations with internal and external systems using REST, SOAP, and WSDL‑based services.
• Create and optimize SQL queries, database structures, and data access logic to support application features.
• Work with Business Analysts and stakeholders to translate functional requirements into technical specifications and solutions.
• Implement accurate data mappings and transformations in accordance with business and technical requirements.
• Contribute to code reviews, follow established coding standards, and ensure high‑quality deliverables.
• Support the implementation and maintenance of DevOps pipelines using Git and Azure DevOps.
• Contribute to the integration of GenAI capabilities—including GPT models, embeddings, and agent‑based components—into enterprise applications.
• Troubleshoot issues across the application stack and collaborate closely with peers to resolve technical challenges.

TECHNICAL QUALIFICATIONS

• 7+ years of hands‑on experience with Python and Django, including complex application development.
• 5+ years of experience with SQL development, optimization, and database design.
• At least 1-2 years of applied experience with GenAI technologies (GPT models, embeddings, agents, etc.).
• Deep expertise in application architecture, system integration, and service‑oriented design.
• Strong experience with DevOps tools and practices, including Git, Azure DevOps, CI/CD pipelines, and automated deployments.
• Advanced understanding of REST, SOAP, WSDL, and large‑scale service integrations.

GENERAL QUALIFICATIONS

• Exceptional verbal and written communication skills.
• Strong analytical, problem‑solving, and architectural reasoning abilities.
• Demonstrated leadership experience with the ability to guide and mentor technical teams.
• Proven ability to work effectively in fast‑paced, collaborative environments.

EDUCATION REQUIREMENTS

• Bachelor’s degree in Computer Science, MIS, or a related field.
• Advanced certifications in Python, cloud technologies, or GenAI are preferred but not required.

Immediate hiring for Senior Data Engineer

📍 Location: Hyderabad/Bangalore

💼 Experience: 7+Years

🕒 Employment Type: Full-Time

🏢 Work Mode: Hybrid

📅 Notice Period: 0-1Month serving notice only

   We are seeking a highly skilled and motivated Data Engineer to join our innovative team. As a Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support our enterprise-wide data-driven initiatives. You will collaborate closely with cross-functional teams to ensure the availability, reliability, and performance of our data systems and solutions.

🔎 Key Responsibilities:

• Data Pipeline Development
• Data Modeling and Architecture
• Data Integration and API Development
• Data Infrastructure Management
• Collaboration and Documentation

🎯 Required Skills:

• Bachelor’s degree in computer science, Engineering, Information Systems, or a related field.
• 7+ years of proven experience in data engineering, software development, or related technical roles.
• 7+ years of experience in programming languages commonly used in data engineering (Python, Java, SQL, Stored Procedures, Scala, etc.).
• 7+ years of experience with database systems, data modeling, and advanced SQL.
• 7+ years of experience with ETL tools such as SSIS, Snowflake, Databricks, Azure Data Factory, Stored Procedures, etc.
• Experience with big data technologies such as Hadoop, Spark, Kafka, etc.
• 5+ years of experience working with cloud platforms like Azure, AWS, or Google Cloud.
• Strong analytical, problem-solving, and debugging skills with high attention to detail.
• Excellent communication and collaboration skills in a team-oriented, fast-paced environment.
• Ability to adapt to rapidly evolving technologies and business requirements.

Role Overview

We are looking for a highly skilled Senior Full Stack Developer with strong expertise in modern backend technologies and scalable web application development. The ideal candidate is passionate about building high-performance applications, robust APIs, and scalable systems while collaborating with cross-functional teams to deliver impactful solutions.

This role requires a developer who can work as an individual contributor, solve complex technical challenges, and build products that create real business impact.

Key Responsibilities

• Design, develop, and maintain scalable full-stack web applications
• Build and optimize robust backend services and RESTful APIs
• Develop high-performance applications using Node.js and FastAPI
• Collaborate with product managers, designers, and engineering teams to deliver end-to-end solutions
• Ensure application performance, security, scalability, and reliability
• Write clean, maintainable, and well-tested code
• Participate in architecture discussions and code reviews
• Troubleshot complex production issues and provided effective technical solutions
• Follow modern development practices, coding standards, and CI/CD processes

Technical Skills

Core Technologies

• JavaScript – Advanced proficiency
• TypeScript – Strong hands-on experience
• Node.js – Strong backend development expertise
• Python (FastAPI) – API development and integration

Additional Skills (Good to Have)

• Experience with modern frontend frameworks such as React / Angular / Vue
• Experience with REST API design and microservices architecture
• Knowledge of cloud platforms (AWS / Azure / GCP)
• Experience with Docker, CI/CD pipelines
• Familiarity with databases such as PostgreSQL, MySQL, or MongoDB

Required Qualifications

• 5–8 years of experience in full-stack development
• Proven experience building scalable web applications and APIs
• Strong problem-solving and analytical skills
• Experience working in Agile development environments
• Ability to work independently and deliver high-quality solutions

What We Look For

• Passion for clean code and scalable architecture
• Strong ownership mindset
• Ability to solve complex technical challenges
• Excellent communication and collaboration skills

Position Title : Senior Data Engineer(Founding Member) - Insurtech StartUp

Location : Hyderabad(Onsite)

Immediate to 15 days Joiners

Experience : 5+ to 13 Years

Role Summary

We are looking for a Senior Data Engineer who will play a foundational role in:

• Client onboarding from a data perspective
• Understanding complex insurance data flows
• Designing secure, scalable ingestion pipelines
• Establishing strong data modeling and governance standards

This role sits at the intersection of technology, data architecture, security, and business onboarding.

.

Key Responsibilities

• Lead end-to-end data onboarding for new clients and partners, working closely with business and product teams to understand client systems, data formats, and migration constraints
• Define and implement data ingestion strategies supporting multiple sources and formats, including CSV, XML, JSON files, and API-based integrations
• Design, build, and operate robust, scalable ETL/ELT pipelines, supporting both batch and near-real-time data processing
• Handle complex insurance-domain data including Contracts, Claims, Reserves, Cancellations, and Refunds
• Architect ingestion pipelines with security-by-design principles, including secure credential management (keys, secrets, tokens), encryption at rest and in transit, and network-level controls where required
• Enforce role-based and attribute-based access controls, ensuring strict data isolation, tenancy boundaries, and stakeholder-specific access rules
• Design, maintain, and evolve canonical data models that support operational workflows, reporting & analytics, and regulatory/audit requirements
• Define and enforce data governance standards, ensuring compliance with insurance and financial data regulations and consistent definitions of business metrics across stakeholders
• Build and operate data pipelines on a cloud-native platform, leveraging distributed processing frameworks (Spark / PySpark), data lakes, lakehouses, and warehouses
• Implement and manage orchestration, monitoring, alerting, and cost-optimization mechanisms across the data platform
• Contribute to long-term data strategy, platform architecture decisions, and cost-optimization initiatives while maintaining strict security and compliance standards

Required Technical Skills

• Core Stack: Python, Advanced SQL(Complex joins, window functions, performance tuning), Pyspark
• Platforms: Azure, AWS, Data Bricks, Snowflake
• ETL / Orchestration: Airflow or similar frameworks
• Data Modeling: Star/Snowflake schema, dimensional modeling, OLAP/OLTP
• Visualization Exposure: Power BI
• Version Control & CI/CD: GitHub, Azure Devops, or equivalent
• Integrations: APIs, real-time data streaming, ML model integration exposure

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
• 5+ years of experience in data engineering or similar roles
• Strong ability to align technical solutions with business objectives
• Excellent communication and stakeholder management skills

What We Offer

• Direct collaboration with the core US data leadership team
• High ownership and trust to manage the function end-to-end
• Exposure to a global environment with advanced tools and best practices

Role

We are looking for a Full Stack Engineer who can own the entire technical stack, design systems that scale, and ship products fast. You will work across frontend, backend, and AI systems, making key architectural decisions while building a product used by real users.

This role offers high ownership, where engineers move ideas to production quickly and take responsibility for both technical decisions and product impact.

What would you do?

• Build and own the end-to-end platform using React, Node.js microservices, Python AI agents, and AWS.
• Design and implement scalable system architecture, including caching, databases, and state management between AI and UI.
• Develop AI-powered backend services and orchestrate LLM workflows using modern frameworks.
• Build highly interactive front-end experiences using modern React and real-time communication tools.
• Define and maintain engineering best practices, including CI/CD pipelines, monorepo structures, and development workflows.
• Collaborate closely with users and product teams to identify problems and ship impactful solutions.
• Continuously simplify systems by removing unnecessary complexity and keeping architecture clean.

Who should apply?

• Engineers with 4+ years of experience building and shipping production-grade products.
• Strong understanding of system design, architecture, and scalable backend systems.
• Hands-on experience with Python (FastAPI, async systems) and LLM-based applications.
• Proficiency in JavaScript / TypeScript with Node.js and modern backend frameworks.
• Experience building modern frontend applications using React (React 18+).
• Familiarity with databases such as Redis, PostgreSQL, or MongoDB, and designing scalable APIs.
• Engineers comfortable working in fast-paced environments with high ownership and minimal process overhead.

Technical Skills

• Backend: Node.js, Express, Python, FastAPI
• Frontend: React (React 18+), interactive UI development
• AI/LLM Systems: LLM orchestration, multi-model integrations
• Databases: Redis, PostgreSQL, MongoDB
• Infrastructure: AWS, CI/CD pipelines, microservices architecture
• Real-time Systems: Socket.IO, Server-Sent Events (SSE)

Job Title: Senior Full-stack Developer (Python,React)

Location: Hyderabad, India (On-site Only)

Employment Type: Full-Time

Work Mode: Office-Based; Remote or Hybrid Not Allowed

Role Summary

We are looking for a skilled Senior Fullstack Developer with expertise in Django (Python),React, RESTful APIs, GraphQL, microservices architecture, Redis, and AWS services (SNS, SQS, etc.). The ideal candidate will be responsible for designing, developing, and maintaining scalable backend systems and APIs to support dynamic frontend applications and services.

 Required Skillset:

l 9+ years of professional experience writing production-grade software, including experience leading the design of complex systems.

l Strong expertise in Python (Django or equivalent frameworks) and REST API development.

l Solid exp of frontend frameworks such as React and TypeScript.

l Strong understanding of relational databases (MySQL or PostgreSQL preferred).

l Experience with CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes).

l Hands-on experience with cloud infrastructure (AWS preferred)

l Proven experience debugging complex production issues and improving observability.

Preferred Skillset:

l Experience in enterprise SaaS or B2B systems with multi-tenancy, authentication (OAuth, SSO, SAML), and data partitioning. Exposure to Kafka or RabbitMQ, microservices.

l Knowledge of event-driven architecture, A/B testing frameworks, and analytics pipelines.

l Familiarity with accessibility standards and best practices Agile/Scrum methodologies.

l Exposure to the Open edX ecosystem or open-source contributions in education tech.

l Demonstrated history of technical mentorship, team leadership, or cross-team collaboration.

Tech Stack:

l Backend: Python (Django), (Celery,Redis Asynchronous workflows), REST APIs

l Frontend: React, TypeScript, SCSS

l Data: MySQL, Snowflake, Elasticsearch

l DevOps/Cloud: Docker,Kubernetes,GitHub Actions,AWS

l Monitoring: Datadog 

l Collaboration Tools: GitHub, Jira, Slack, Segment

Primary Responsibilities:

l Lead, guide, and mentor a team of Python/Django engineers, offering hands-on technical support and direction.

l Architect, design, and deliver secure, scalable, and high-performing web applications.

l Manage the complete software development lifecycle including requirements gathering, system design, development, testing, deployment, and post-launch maintenance.

l Ensure compliance with coding standards, architectural patterns, and established development best practices.

l Collaborate with product teams, QA, UI/UX, and other stakeholders to ensure timely and high-quality product releases.

l Perform detailed code reviews, optimize system performance, and resolve production-level issues.

l Drive engineering improvements such as automation, CI/CD implementation, and modernization of outdated systems.

l Create and maintain technical documentation while providing regular updates to leadership and stakeholders.

Description

SRE Engineer

Role Overview 

As a Site Reliability Engineer, you will play a critical role in ensuring the availability and performance of our customer-facing platform. You will work closely with DevOps, DBA, and Development teams to provision and maintain infrastructure, deploy and monitor our applications, and automate workflows. Your contributions will have a direct impact on customer satisfaction and overall experience.

Responsibilities and Deliverables

• Manage, monitor, and maintain highly available systems (Windows and Linux)

• Analyze metrics and trends to ensure rapid scalability.

• Address routine service requests while identifying ways to automate and simplify.

• Create infrastructure as code using Terraform, ARM Templates, Cloud Formation.

• Maintain data backups and disaster recovery plans.

• Design and deploy CI/CD pipelines using GitHub Actions, Octopus, Ansible, Jenkins, Azure DevOps.

• Adhere to security best practices through all stages of the software development lifecycle

• Follow and champion ITIL best practices and standards.

• Become a resource for emerging and existing cloud technologies with a focus on AWS.

Organizational Alignment

• Reports to the Senior SRE Manager

• This role involves close collaboration with DevOps, DBA, and security teams.

Technical Proficiencies

• Hands-on experience with AWS is a must-have.

• Proficiency analyzing application, IIS, system, security logs and CloudTrail events

• Practical experience with CI/CD tools such as GitHub Actions, Jenkins, Octopus

• Experience with observability tools such as New Relic, Application Insights, AppDynamics, or DataDog.

• Experience maintaining and administering Windows, Linux, and Kubernetes.

• Experience in automation using scripting languages such as Bash, PowerShell, or Python.

• Configuration management experience using Ansible, Terraform, Azure Automation Run book or similar.

• Experience with SQL Server database maintenance and administration is preferred.

• Good Understanding of networking (VNET, subnet, private link, VNET peering).

• Familiarity with cloud concepts including certificates, Oauth, AzureAD, ASE, ASP, AKS, Azure Apps, 

Load Balancers, Application Gateway, Firewall, Load Balancer, API Management, SQL Server, Databases on Azure

Experience

• 7+ years of experience in SRE or System Administration role

• Demonstrated ability building and supporting high availability Windows/Linux servers, with emphasis on the WISA stack (Windows/IIS/SQL Server/ASP.net)

• 3+ years of experience working with cloud technologies including AWS, Azure.

• 1+ years of experience working with container technology including Docker and Kubernetes.

• Comfortable using Scrum, Kanban, or Lean methodologies.

Education

• Bachelor’s Degree or College Diploma in Computer Science, Information Systems, or equivalent 

experience.

Additional Job Details:

• Working hours: 2:00 PM / 3:00 PM to 11:30 PM IST

• Interview process: 3 technical rounds

• Work model: 3 days’ work from office

We are seeking a talented AI/ML Engineer with strong hands-on experience in Generative AI and Large Language Models (LLMs) to join our Business Intelligence team. The role involves designing, developing, and deploying advanced AI/ML and GenAI-driven solutions to unlock business insights and enhance data-driven decision-making.

Key Responsibilities:

• Collaborate with business analysts and stakeholders to identify AI/ML and Generative AI use cases.

• Design and implement ML models for predictive analytics, segmentation, anomaly detection, and forecasting.

• Develop and deploy Generative AI solutions using LLMs (GPT, LLaMA, Mistral, etc.).

• Build and maintain Retrieval-Augmented Generation (RAG) pipelines and semantic search systems.

• Work with vector databases (FAISS, Pinecone, ChromaDB) for embedding storage and retrieval.

• Develop end-to-end AI/ML pipelines from data preprocessing to deployment.

• Integrate AI/ML and GenAI solutions into BI dashboards and reporting tools.

• Optimize models for performance, scalability, and reliability.

• Maintain documentation and promote knowledge sharing within the team.

Mandatory Requirements:

• 4+ years of relevant experience as an AI/ML Engineer.

• Hands-on experience in Generative AI and Large Language Models (LLMs) – Mandatory.

• Experience implementing RAG pipelines and prompt engineering techniques.

• Strong programming skills in Python.

• Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn).

• Experience with vector databases (FAISS, Pinecone, ChromaDB).

• Strong understanding of SQL and database systems.

• Experience integrating AI solutions into BI tools (Power BI, Tableau).

• Strong analytical, problem-solving, and communication skills. Good to Have

• Experience with cloud platforms (AWS, Azure, GCP).

• Experience with Docker or Kubernetes.

• Exposure to NLP, computer vision, or deep learning use cases.

• Experience in MLOps and CI/CD pipelines

Job Details

- Job Title: Lead I - Data Engineering (Python, AWS Glue, Pyspark, Terraform)

- Industry: Global digital transformation solutions provider

- Domain - Information technology (IT)

- Experience Required: 5-7 years

- Employment Type: Full Time

- Job Location: Hyderabad

- CTC Range: Best in Industry

Job Description

Data Engineer with AWS, Python, Glue, Terraform, Step function and Spark

Skills: Python, AWS Glue, Pyspark, Terraform - All are mandatory

******

Notice period - 0 to 15 days only

Job stability is mandatory

Location: Hyderabad 

In this role, you'll be responsible for building machine learning based systems and conduct data analysis that improves the quality of our large geospatial data. You’ll be developing NLP models to extract information, using outlier detection to identifying anomalies and applying data science methods to quantify the quality of our data. You will take part in the development, integration, productionisation and deployment of the models at scale, which would require a good combination of data science and software development.

Responsibilities

• Development of machine learning models
• Building and maintaining software development solutions
• Provide insights by applying data science methods
• Take ownership of delivering features and improvements on time

Must-have Qualifications

• 4 year's experience 
• Senior data scientist preferable with knowledge of NLP
• Strong programming skills and extensive experience with Python
• Professional experience working with LLMs, transformers and open-source models from HuggingFace
• Professional experience working with machine learning and data science, such as classification, feature engineering, clustering, anomaly detection and neural networks
• Knowledgeable in classic machine learning algorithms (SVM, Random Forest, Naive Bayes, KNN etc.).
• Experience using deep learning libraries and platforms, such as PyTorch
• Experience with frameworks such as Sklearn, Numpy, Pandas, Polars
• Excellent analytical and problem-solving skills
• Excellent oral and written communication skills

Extra Merit Qualifications

• Knowledge in at least one of the following: NLP, information retrieval, data mining
• Ability to do statistical modeling and building predictive models
• Programming skills and experience with Scala and/or Java

Role Overview

We are hiring a Principal Datacenter Backend Developer to architect and build highly scalable, reliable backend platforms for modern data centers. This role owns control-plane and data-plane services powering orchestration, monitoring, automation, and operational intelligence across large-scale on-prem, hybrid, and cloud data center environments.

This is a hands-on principal IC role with strong architectural ownership and technical leadership responsibilities.

Key Responsibilities

• Own end-to-end backend architecture for datacenter platforms (orchestration, monitoring, DCIM, automation).
• Design and build high-availability distributed systems at scale.
• Develop backend services using Java (Spring Boot / Micronaut / Quarkus) and/or Python (FastAPI / Flask / Django).
• Build microservices for resource orchestration, telemetry ingestion, capacity and asset management.
• Design REST/gRPC APIs and event-driven systems.
• Drive performance optimization, scalability, and reliability best practices.
• Embed SRE principles, observability, and security-by-design.
• Mentor senior engineers and influence technical roadmap decisions.

Required Skills

• Strong hands-on experience in Java and/or Python.
• Deep understanding of distributed systems and microservices.
• Experience with Kubernetes, Docker, CI/CD, and cloud-native deployments.
• Databases: PostgreSQL/MySQL, NoSQL, time-series data.
• Messaging systems: Kafka / Pulsar / RabbitMQ.
• Observability tools: Prometheus, Grafana, ELK/OpenSearch.
• Secure backend design (OAuth2, RBAC, audit logging).

Nice to Have

• Experience with DCIM, NMS, or infrastructure automation platforms.
• Exposure to hyperscale or colocation data centers.
• AI/ML-based monitoring or capacity planning experience.

Why Join

• Architect mission-critical platforms for large-scale data centers.
• High-impact principal role with deep technical ownership.
• Work on complex, real-world distributed systems problems.

Title:TeamLead– Software Development

(Lead ateam of developers to deliver applications in line withproduct strategy and growth)

 Experience:8– 10 years

 Department:InformationTechnology

Classification: Full-Time

 Location:HybridinHyderabad,India (3days onsiteand2days remote)

Job Description:

Lookingforafull-time Software Development Team Lead to lead our high-performing Information

Technology team. Thisperson will play a key rolein Clarity’s business by overseeing a development

team, focusingonexisting systems and long-term growth.Thisperson will serveas the technical leader,

able to discuss data structures, new technologies, and methods of achieving system goals. This person

will be crucialin facilitating collaborationamong team members and providing mentoring.

Reporting to the Director, SoftwareDevelopment,thispersonwillberesponsible for theday-to-day

operations of their team, be the first point of escalation and technical contactfor theteam.

JobResponsibilities:

 Manages all activities oftheir software developmentteamand sets goals for each team

member to ensure timely project delivery.

 Performcode reviews andwrite code if needed.

 Collaborateswiththe InformationTechnologydepartmentand business management

team to establish priorities for the team’s plan and manage team performance.

 Provide guidance on project requirements,developer processes, andend-user

documentation.

 Supports anexcellent customer experience bybeingproactive in assessing escalations

and working with the team to respond appropriately.

 Uses technical expertise to contribute towards building best-in-class products. Analyzes

business needs and develops a mix of internal and externalsoftware systems that work

well together.

 Using Clarity platforms, writes, reviews, and revises product requirements and

specifications. Analyzes software requirements,implements design plans, andreviews

unit tests. Participates in other areas of the software developmentprocess.

RequiredSkills:

 ABachelor’s degree inComputerScience,InformationTechnology, Engineering,or a

related discipline.

 Excellentwritten and verbalcommunication skills.

 Experiencewith .Net Framework,WebApplications,WindowsApplications, andWeb

Services

 Experience in developing andmaintaining applications using C#.NetCore,ASP.NetMVC,

and Entity Framework

 Experience in building responsive front-endusingReact.js,Angular.js,HTML5, CSS3 and

JavaScript.

 Experience in creating andmanaging databases, stored procedures andcomplex queries

with SQL Server

 Experiencewith Azure Cloud Infrastructure

 8+years of experience indesigning andcoding software inabove technology stack.

 3+years ofmanaging a teamwithin adevelopmentorganization.

 3+years of experience in Agile methodologies.

Preferred Skills:

 Experience in Python,WordPress,PHP

 Experience in using AzureDevOps

 Experience working with Salesforce, orany othercomparable ticketing system

 Experience in insurance/consumer benefits/file processing (EDI).

JOB DETAILS:

* Job Title: Specialist I - DevOps Engineering

* Industry: Global Digital Transformation Solutions Provider

* Salary: Best in Industry

* Experience: 7-10 years

* Location: Bengaluru (Bangalore), Chennai, Hyderabad, Kochi (Cochin), Noida, Pune, Thiruvananthapuram

Job Description

Job Summary:

As a DevOps Engineer focused on Perforce to GitHub migration, you will be responsible for executing seamless and large-scale source control migrations. You must be proficient with GitHub Enterprise and Perforce, possess strong scripting skills (Python/Shell), and have a deep understanding of version control concepts.

The ideal candidate is a self-starter, a problem-solver, and thrives on challenges while ensuring smooth transitions with minimal disruption to development workflows.

Key Responsibilities:

• Analyze and prepare Perforce repositories — clean workspaces, merge streams, and remove unnecessary files.
• Handle large files efficiently using Git Large File Storage (LFS) for files exceeding GitHub’s 100MB size limit.
• Use git-p4 fusion (Python-based tool) to clone and migrate Perforce repositories incrementally, ensuring data integrity.
• Define migration scope — determine how much history to migrate and plan the repository structure.
• Manage branch renaming and repository organization for optimized post-migration workflows.
• Collaborate with development teams to determine migration points and finalize migration strategies.
• Troubleshoot issues related to file sizes, Python compatibility, network connectivity, or permissions during migration.

Required Qualifications:

• Strong knowledge of Git/GitHub and preferably Perforce (Helix Core) — understanding of differences, workflows, and integrations.
• Hands-on experience with P4-Fusion.
• Familiarity with cloud platforms (AWS, Azure) and containerization technologies (Docker, Kubernetes).
• Proficiency in migration tools such as git-p4 fusion — installation, configuration, and troubleshooting.
• Ability to identify and manage large files using Git LFS to meet GitHub repository size limits.
• Strong scripting skills in Python and Shell for automating migration and restructuring tasks.
• Experience in planning and executing source control migrations — defining scope, branch mapping, history retention, and permission translation.
• Familiarity with CI/CD pipeline integration to validate workflows post-migration.
• Understanding of source code management (SCM) best practices, including version history and repository organization in GitHub.
• Excellent communication and collaboration skills for cross-team coordination and migration planning.
• Proven practical experience in repository migration, large file management, and history preservation during Perforce to GitHub transitions.

Skills: Github, Kubernetes, Perforce, Perforce (Helix Core), Devops Tools

Must-Haves

Git/GitHub (advanced), Perforce (Helix Core) (advanced), Python/Shell scripting (strong), P4-Fusion (hands-on experience), Git LFS (proficient)

We are looking for a Staff Engineer - Python to join one of our engineering teams at our office in Hyderabad.

What would you do?

• Own end-to-end delivery of backend projects from requirements and LLDs to production.
• Lead technical design and execution, ensuring scalability, reliability, and code quality.
• Build and integrate chatbot and AI-driven workflows with third-party systems.
• Diagnose and resolve complex performance and production issues.
• Drive testing, documentation, and engineering best practices.
• Mentor engineers and act as the primary technical point of contact for the project/client.

Who Should Apply?

• 5+ years of hands-on experience building backend systems in Python.
• Proficiency in building web-based applications using Django or similar frameworks.
• In-depth knowledge of the Python stack and API-first system design.
• Experience working with SQL and NoSQL databases including PostgreSQL/MySQL, MongoDB, ElasticSearch, or key-value stores.
• Strong experience owning design, delivery, and technical decision-making.
• Proven ability to lead and mentor engineers through reviews and execution.
• Clear communicator with a high-ownership, delivery-focused mindset.

Nice to Have

• Experience contributing to system-level design discussions.
• Prior exposure to AI/LLM-based systems or conversational platforms.
• Experience working directly with clients or external stakeholders.
• Background in fast-paced product or service environments.

5–10 years of experience in backend or full-stack development (Java, C#, Python, or Node.js preferred).

•Design, develop, and deploy full-stack web applications (front-end, back-end, APIs, and databases).

•Build responsive, user-friendly UIs using modern JavaScript frameworks (React, Vue, or Angular).

•Develop robust backend services and RESTful or GraphQL APIs using Node.js, Python, Java, or similar technologies.

•Manage and optimize databases (SQL and NoSQL).

•Collaborate with UX/UI designers, product managers, and QA engineers to refine requirements and deliver solutions.

•Implement CI/CD pipelines and support cloud deployments (AWS, Azure, or GCP).

•Write clean, testable, and maintainable code with appropriate documentation.

•Monitor performance, identify bottlenecks, and troubleshoot production issues.

•Stay up to date with emerging technologies and recommend improvements to tools, processes, and architecture.

•Proficiency in front-end technologies: HTML5, CSS3, JavaScript/TypeScript, and frameworks like React, Vue.js, or Angular.

•Strong experience with server-side programming (Node.js, Python/Django, Java/Spring Boot, or .NET).

•Experience with databases: PostgreSQL, MySQL, MongoDB, or similar.

•Familiarity with API design, microservices architecture, and REST/GraphQL best practices.

•Working knowledge of version control (Git/GitHub) and DevOps pipelines.

Understanding of cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).

JOB DETAILS:

* Job Title: Tester III - Software Testing (Automation testing + Python + AWS)

* Industry: Global digital transformation solutions provide

* Salary: Best in Industry

* Experience: 4 -10 years

* Location: Hyderabad

Job Description

Responsibilities:

• Develop, maintain, and execute automation test scripts using Python.
• Build reliable and reusable test automation frameworks for web and cloud-based applications.
• Work with AWS cloud services for test execution, environment management, and integration needs.
• Perform functional, regression, and integration testing as part of the QA lifecycle.
• Analyze test failures, identify root causes, raise defects, and collaborate with development teams.
• Participate in requirement review, test planning, and strategy discussions.
• Contribute to CI/CD setup and integration of automation suites.

Required Experience:

• Strong hands-on experience in Automation Testing.
• Proficiency in Python for automation scripting and framework development.
• Understanding and practical exposure to AWS services (Lambda, EC2, S3, CloudWatch, or similar).
• Good knowledge of QA methodologies, SDLC/STLC, and defect management.
• Familiarity with automation tools/frameworks (e.g., Selenium, PyTest).
• Experience with Git or other version control systems.

Good to Have:

• API testing experience (REST, Postman, REST Assured).
• Knowledge of Docker/Kubernetes.
• Exposure to Agile/Scrum environment.

Skills: Automation testing, Python, Java, ETL, AWS

JOB DETAILS:

* Job Title: Tester III - Software Testing (Automation Testing + Python + Azure)

* Industry: Global digital transformation solutions provide

* Salary: Best in Industry

* Experience: 4 -10 years

* Location: Hyderabad

Job Description

Responsibilities:

• Design, develop, and execute automation test scripts using Python.
• Build and maintain scalable test automation frameworks.
• Work with Azure DevOps for CI/CD, pipeline automation, and test management.
• Perform functional, regression, and integration testing for web and cloud‑based applications.
• Analyze test results, log defects, and collaborate with developers for timely closure.
• Participate in requirement analysis, test planning, and strategy discussions.
• Ensure test coverage, maintain script quality, and optimize automation suites.

Required Experience:

• Strong hands-on expertise in automation testing for web/cloud applications.
• Solid proficiency in Python for creating automation scripts and frameworks.
• Experience working with Azure services and Azure DevOps pipelines.
• Good understanding of QA methodologies, SDLC/STLC, and defect lifecycle.
• Experience with tools like Selenium, PyTest, or similar frameworks (good to have).
• Familiarity with Git or other version control tools.

Good to Have:

• Experience with API testing (REST, Postman, or similar tools)
• Knowledge of Docker/Kubernetes
• Exposure to Agile/Scrum environments

Skills: automation testing, python, java, azure

JOB DETAILS:

* Job Title: Tester III - Software Testing- Playwright + API testing

* Industry: Global digital transformation solutions provide

* Salary: Best in Industry

* Experience: 4 -10 years

* Location: Hyderabad

Job Description

Responsibilities:

• Design, develop, and maintain automated test scripts for web applications using Playwright.
• Perform API testing using industry-standard tools and frameworks.
• Collaborate with developers, product owners, and QA teams to ensure high-quality releases.
• Analyze test results, identify defects, and track them to closure.
• Participate in requirement reviews, test planning, and test strategy discussions.
• Ensure automation coverage, maintain reusable test frameworks, and optimize execution pipelines.

Required Experience:

• Strong hands-on experience in Automation Testing for web-based applications.
• Proven expertise in Playwright (JavaScript, TypeScript, or Python-based scripting).
• Solid experience in API testing (Postman, REST Assured, or similar tools).
• Good understanding of software QA methodologies, tools, and processes.
• Ability to write clear, concise test cases and automation scripts.
• Experience with CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps) is an added advantage.

Good to Have:

• Knowledge of cloud environments (AWS/Azure)
• Experience with version control tools like Git
• Familiarity with Agile/Scrum methodologies

Skills: automation testing, sql, api testing, soap ui testing, playwright

AI-Native Software Developer Intern

Build real AI agents used daily across the company

We’re looking for a high-agency, AI-native software developer intern to help us build internal AI agents that improve productivity across our entire company (80–100 people using them daily).

You will ship real systems, used by real teams, with real impact.

If you’ve never built anything outside coursework, this role is probably not a fit.

What You’ll Work On

You will work directly on designing, building, deploying, and iterating AI agents that power internal workflows.

Examples of problems you may tackle:

Internal AI agents for:

• Knowledge retrieval across Notion / docs / Slack
• Automated report generation
• Customer support assistance
• Process automation (ops, hiring, onboarding, etc.)
• Decision-support copilots
• Prompt engineering + structured outputs + tool-using agents

Building workflows using:

• LLM APIs
• Vector databases
• Agent frameworks
• Internal dashboards
• Improving reliability, latency, cost, and usability of AI systems
• Designing real UX around AI tools (not just scripts)

You will own features end-to-end:

• Problem understanding
• Solution design
• Implementation
• Testing
• Deployment
• Iteration based on user feedback

What We Expect From You

You must:

• Be AI-native: you actively use tools like:
• ChatGPT / Claude / Cursor / Copilot
• AI for debugging, scaffolding, refactoring
• Prompt iteration
• Rapid prototyping
• Be comfortable with at least one programming language (Python, TypeScript, JS, etc.)
• Have strong critical thinking
• You question requirements
• You think about edge cases
• You optimize systems, not just make them “work”
• Be high agency
• You don’t wait for step-by-step instructions
• You proactively propose solutions
• You take ownership of outcomes
• Be able to learn fast on the job

Help will be provided but you will not be spoonfed.

Absolute Requirement (Non-Negotiable)

If you have not built any side projects with a visible output, you will most likely be rejected.

We expect at least one of:

• A deployed web app
• A GitHub repo with meaningful commits
• A working AI tool
• A live demo link
• A product you built and shipped
• An agent, automation, bot, or workflow you created

Bonus Points (Strong Signals)

These are not required but will strongly differentiate you:

• Built projects using:
• LLM APIs (OpenAI, Anthropic, etc.)
• LangChain / LlamaIndex / custom agent frameworks
• Vector DBs like Pinecone, Weaviate, FAISS
• RAG systems
• Experience deploying:
• Vercel, Fly.io, Render, AWS, etc.
• Built internal tools for a team before
• Strong product intuition (you care about UX, not just code)
• Experience automating your own workflows using scripts or AI

What You’ll Gain

You will get:

• Real experience building AI agents used daily
• Ownership over production systems
• Deep exposure to:
• AI architecture
• Product thinking
• Iterative engineering
• Tradeoffs (cost vs latency vs accuracy)
• A portfolio that actually means something in 2026
• A strong shot at long-term roles based on performance

If you perform well, you won’t leave with a certificate, you'll leave with real-world building experience.

Who This Is Perfect For

• People who already build things for fun
• People who automate their own life with scripts/tools
• People who learn by shipping
• People who prefer responsibility over structure
• People who are excited by ambiguity

Who This Is Not For

Be honest with yourself:

• If you need step-by-step instructions
• If you avoid open-ended problems
• If you’ve never built anything outside assignments
• If you dislike using AI tools while coding

This will be frustrating for you.

How To Apply

Send:

• Your GitHub
• Links to projects (deployed preferred)
• A short note explaining:
• What you built
• Why you built it
• What you’d improve if you had more time

Strong portfolios beat strong resumes.

Role Summary

We are looking for a seasoned Python/Django expert with 10–12 years of real-world development experience and a strong background in leading engineering teams. The selected candidate will be responsible for managing complex technical initiatives, mentoring team members, ensuring best coding practices, and partnering closely with cross-functional teams. This position demands deep technical proficiency, strong leadership capability, and exceptional communication skills.

Primary Responsibilities

· Lead, guide, and mentor a team of Python/Django engineers, offering hands-on technical support and direction.

· Architect, design, and deliver secure, scalable, and high-performing web applications.

· Manage the complete software development lifecycle including requirements gathering, system design, development, testing, deployment, and post-launch maintenance.

· Ensure compliance with coding standards, architectural patterns, and established development best practices.

· Collaborate with product teams, QA, UI/UX, and other stakeholders to ensure timely and high-quality product releases.

· Perform detailed code reviews, optimize system performance, and resolve production-level issues.

· Drive engineering improvements such as automation, CI/CD implementation, and modernization of outdated systems.

· Create and maintain technical documentation while providing regular updates to leadership and stakeholders.

Required Skills & Qualifications Negotiable

· 10–14 years of professional experience in software development with strong expertise in Python and Django.

· Solid understanding of key web technologies, including REST APIs, HTML, CSS, and JavaScript.

· Hands-on experience working with relational and NoSQL databases (such as PostgreSQL, MySQL, or MongoDB).

· Familiarity with major cloud platforms (AWS, Azure, or GCP) and container tools like Docker and Kubernetes is a plus.

· Proficient in Git workflows, CI/CD pipelines, and automated testing tools.

· Strong analytical and problem-solving skills, especially in designing scalable and high-availability systems.

· Excellent communication skills—both written and verbal.

· Demonstrated leadership experience in mentoring teams and managing technical deliverables.

· Must be available to work on-site in the Hyderabad office; remote work is not allowed.

Preferred Qualifications

· Experience with microservices, asynchronous frameworks (such as FastAPI or Celery), or event-driven architectures.

· Familiarity with Agile/Scrum methodologies.

· Previous background as a technical lead or engineering manager.

REVIEW CRITERIA:

MANDATORY:

• Strong Hands-On AWS Cloud Engineering / DevOps Profile
• Mandatory (Experience 1): Must have 12+ years of experience in AWS Cloud Engineering / Cloud Operations / Application Support
• Mandatory (Experience 2): Must have strong hands-on experience supporting AWS production environments (EC2, VPC, IAM, S3, ALB, CloudWatch)
• Mandatory (Infrastructure as a code): Must have hands-on Infrastructure as Code experience using Terraform in production environments
• Mandatory (AWS Networking): Strong understanding of AWS networking and connectivity (VPC design, routing, NAT, load balancers, hybrid connectivity basics)
• Mandatory (Cost Optimization): Exposure to cost optimization and usage tracking in AWS environments
• Mandatory (Core Skills): Experience handling monitoring, alerts, incident management, and root cause analysis
• Mandatory (Soft Skills): Strong communication skills and stakeholder coordination skills

ROLE & RESPONSIBILITIES:

We are looking for a hands-on AWS Cloud Engineer to support day-to-day cloud operations, automation, and reliability of AWS environments. This role works closely with the Cloud Operations Lead, DevOps, Security, and Application teams to ensure stable, secure, and cost-effective cloud platforms.

KEY RESPONSIBILITIES:

• Operate and support AWS production environments across multiple accounts
• Manage infrastructure using Terraform and support CI/CD pipelines
• Support Amazon EKS clusters, upgrades, scaling, and troubleshooting
• Build and manage Docker images and push to Amazon ECR
• Monitor systems using CloudWatch and third-party tools; respond to incidents
• Support AWS networking (VPCs, NAT, Transit Gateway, VPN/DX)
• Assist with cost optimization, tagging, and governance standards
• Automate operational tasks using Python, Lambda, and Systems Manager

IDEAL CANDIDATE:

• Strong hands-on AWS experience (EC2, VPC, IAM, S3, ALB, CloudWatch)
• Experience with Terraform and Git-based workflows
• Hands-on experience with Kubernetes / EKS
• Experience with CI/CD tools (GitHub Actions, Jenkins, etc.)
• Scripting experience in Python or Bash
• Understanding of monitoring, incident management, and cloud security basics

NICE TO HAVE:

• AWS Associate-level certifications
• Experience with Karpenter, Prometheus, New Relic
• Exposure to FinOps and cost optimization practices

MANDATORY CRITERIA:

• Education: B.Tech / M.Tech in ECE / CSE / IT
• Experience: 10–12 years in hardware board design, system hardware engineering, and full product deployment cycles
• Proven expertise in digital, analog, and power electronic circuit analysis & design
• Strong hands-on experience designing boards with SoCs, FPGAs, CPLDs, and MPSoC architectures
• Deep understanding of signal integrity, EMI/EMC, and high-speed design considerations
• Must have successfully completed at least two hardware product development cycles from high-level design to final deployment
• Ability to independently handle schematic design, design analysis (DC drop, SI), and cross-team design reviews
• Experience in sourcing & procurement of electronic components, PCBs, and mechanical parts for embedded/IoT/industrial hardware
• Strong experience in board bring-up, debugging, issue investigation, and cross-functional triage with firmware/software teams
• Expertise in hardware validation, test planning, test execution, equipment selection, debugging, and report preparation
• Proficiency in Cadence Allegro or Altium EDA tools (mandatory)
• Experience coordinating with layout, mechanical, SI, EMC, manufacturing, and supply chain teams
• Strong understanding of manufacturing services, production pricing models, supply chain, and logistics for electronics/electromechanical components

DESCRIPTION:

COMPANY OVERVIEW:

The company is a semiconductor and embedded system design company with a focus on Embedded, Turnkey ASICs, Mixed Signal IP, Semiconductor & Product Engineering and IoT solutions catering to Aerospace & Defence, Consumer Electronics, Automotive, Medical and Networking & Telecommunications.

REQUIRED SKILLS:

• Extensive experience in hardware board designs and towards multiple product field deployment cycles.
• Strong foundation and expertise in analyzing digital, Analog and power electronic circuits.
• Proficient with SoC, FPGAs, CPLD and MPSOC architecture-based board designs.
• Knowledgeable in signal integrity, EMI/EMC concepts for digital and power electronics.
• Completed at least two project from high-level design to final product level deployment.
• Capable of independently managing product’s schematic, design analysis DC Drop, Signal Integrity, and coordinating reviews with peer of layout, mechanical, SI, and EMC teams.
• Sourcing and procurement of electronic components, PCBs, and mechanical parts for cutting-edge IoT, embedded, and industrial product development.
• Experienced in board bring-up, issue investigation, and triage in collaboration with firmware and software teams.
• Skilled in preparing hardware design documentation, validation test planning, identifying necessary test equipment, test development, execution, debugging, and report preparation.
• Effective communication and interpersonal skills for collaborative work with cross-functional teams, including post-silicon bench validation, BIOS, and driver development/QA.
• Hands-on experience with Cadence Allegro/Altium EDA tools is essential.
• Familiarity with programming and scripting languages like Python and Perl, and experience in test automation is advantageous.
• Should have excellent exposure with coordination of Manufacturing Services, pricing model for production value supply chain & Logistics in electronics and electromechanical components domain.

MANDATORY CRITERIA:

• Education: B.Tech / M.Tech in ECE / CSE / IT
• Experience: 10–12 years in hardware board design, system hardware engineering, and full product deployment cycles
• Proven expertise in digital, analog, and power electronic circuit analysis & design
• Strong hands-on experience designing boards with SoCs, FPGAs, CPLDs, and MPSoC architectures
• Deep understanding of signal integrity, EMI/EMC, and high-speed design considerations
• Must have successfully completed at least two hardware product development cycles from high-level design to final deployment
• Ability to independently handle schematic design, design analysis (DC drop, SI), and cross-team design reviews
• Experience in sourcing & procurement of electronic components, PCBs, and mechanical parts for embedded/IoT/industrial hardware
• Strong experience in board bring-up, debugging, issue investigation, and cross-functional triage with firmware/software teams
• Expertise in hardware validation, test planning, test execution, equipment selection, debugging, and report preparation
• Proficiency in Cadence Allegro or Altium EDA tools (mandatory)
• Experience coordinating with layout, mechanical, SI, EMC, manufacturing, and supply chain teams
• Strong understanding of manufacturing services, production pricing models, supply chain, and logistics for electronics/electromechanical components

DESCRIPTION:

COMPANY OVERVIEW:

The company is a semiconductor and embedded system design company with a focus on Embedded, Turnkey ASICs, Mixed Signal IP, Semiconductor & Product Engineering and IoT solutions catering to Aerospace & Defence, Consumer Electronics, Automotive, Medical and Networking & Telecommunications.

REQUIRED SKILLS:

• Extensive experience in hardware board designs and towards multiple product field deployment cycles.
• Strong foundation and expertise in analyzing digital, Analog and power electronic circuits.
• Proficient with SoC, FPGAs, CPLD and MPSOC architecture-based board designs.
• Knowledgeable in signal integrity, EMI/EMC concepts for digital and power electronics.
• Completed at least two project from high-level design to final product level deployment.
• Capable of independently managing product’s schematic, design analysis DC Drop, Signal Integrity, and coordinating reviews with peer of layout, mechanical, SI, and EMC teams.
• Sourcing and procurement of electronic components, PCBs, and mechanical parts for cutting-edge IoT, embedded, and industrial product development.
• Experienced in board bring-up, issue investigation, and triage in collaboration with firmware and software teams.
• Skilled in preparing hardware design documentation, validation test planning, identifying necessary test equipment, test development, execution, debugging, and report preparation.
• Effective communication and interpersonal skills for collaborative work with cross-functional teams, including post-silicon bench validation, BIOS, and driver development/QA.
• Hands-on experience with Cadence Allegro/Altium EDA tools is essential.
• Familiarity with programming and scripting languages like Python and Perl, and experience in test automation is advantageous.
• Should have excellent exposure with coordination of Manufacturing Services, pricing model for production value supply chain & Logistics in electronics and electromechanical components domain.

Job Title: QA Automation Engineer

Key Responsibilities & Skills:

• Strong hands-on experience in Java automation testing
• Expertise in Selenium for web application automation
• Experience with BDD frameworks using Cucumber (feature files and step definitions)
• Hands-on experience in API automation using Rest Assured
• Working knowledge of Python automation scripting
• Experience with Robot Framework for test automation
• Ability to design, develop, and maintain scalable automation frameworks
• Experience in test execution, reporting, and defect tracking
• Strong analytical, problem-solving, and communication skills

We are seeking a motivated Data Analyst to support business operations by analyzing data, preparing reports, and delivering meaningful insights. The ideal candidate should be comfortable working with data, identifying patterns, and presenting findings in a clear and actionable way.

Key Responsibilities:

• Collect, clean, and organize data from internal and external sources
• Analyze large datasets to identify trends, patterns, and opportunities
• Prepare regular and ad-hoc reports for business stakeholders
• Create dashboards and visualizations using tools like Power BI or Tableau
• Work closely with cross-functional teams to understand data requirements
• Ensure data accuracy, consistency, and quality across reports
• Document data processes and analysis methods

Required Skills: CI/CD Pipeline, Kubernetes, SQL Database, Excellent Communication & Stakeholder Management, Python

Criteria:

Looking for 15days and max 30 days of notice period candidates.

looking candidates from Hyderabad location only

Looking candidates from EPAM company only 

1.4+ years of software development experience

2. Strong experience with Kubernetes, Docker, and CI/CD pipelines in cloud-native environments.

3. Hands-on with NATS for event-driven architecture and streaming.

4. Skilled in microservices, RESTful APIs, and containerized app performance optimization.

5. Strong in problem-solving, team collaboration, clean code practices, and continuous learning.

6.  Proficient in Python (Flask) for building scalable applications and APIs.

7. Focus: Java, Python, Kubernetes, Cloud-native development

8. SQL database 

Description

Position Overview

We are seeking a skilled Developer to join our engineering team. The ideal candidate will have strong expertise in Java and Python ecosystems, with hands-on experience in modern web technologies, messaging systems, and cloud-native development using Kubernetes.

Key Responsibilities

• Design, develop, and maintain scalable applications using Java and Spring Boot framework
• Build robust web services and APIs using Python and Flask framework
• Implement event-driven architectures using NATS messaging server
• Deploy, manage, and optimize applications in Kubernetes environments
• Develop microservices following best practices and design patterns
• Collaborate with cross-functional teams to deliver high-quality software solutions
• Write clean, maintainable code with comprehensive documentation
• Participate in code reviews and contribute to technical architecture decisions
• Troubleshoot and optimize application performance in containerized environments
• Implement CI/CD pipelines and follow DevOps best practices
•  

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, or related field
• 4+ years of experience in software development
• Strong proficiency in Java with deep understanding of web technology stack
• Hands-on experience developing applications with Spring Boot framework
• Solid understanding of Python programming language with practical Flask framework experience
• Working knowledge of NATS server for messaging and streaming data
• Experience deploying and managing applications in Kubernetes
• Understanding of microservices architecture and RESTful API design
• Familiarity with containerization technologies (Docker)
• Experience with version control systems (Git)

Skills & Competencies

• Skills Java (Spring Boot, Spring Cloud, Spring Security) 
• Python (Flask, SQL Alchemy, REST APIs)
• NATS messaging patterns (pub/sub, request/reply, queue groups)
• Kubernetes (deployments, services, ingress, ConfigMaps, Secrets)
• Web technologies (HTTP, REST, WebSocket, gRPC)
• Container orchestration and management
• Soft Skills Problem-solving and analytical thinking
• Strong communication and collaboration
• Self-motivated with ability to work independently
• Attention to detail and code quality
• Continuous learning mindset
• Team player with mentoring capabilities

AI Agent Builder – Internal Functions and Data Platform Development Tools

About the Role:

We are seeking a forward-thinking AI Agent Builder to lead the design, development, and deployment, and usage reporting of Microsoft Copilot and other AI-powered agents across our data platform development tools and internal business functions. This role will be instrumental in driving automation, improving onboarding, and enhancing operational efficiency through intelligent, context-aware assistants.

This role is central to our GenAI transformation strategy. You will help shape the future of how our teams interact with data, reduce administrative burden, and unlock new efficiencies across the organization. Your work will directly contribute to our “Art of the Possible” initiative—demonstrating tangible business value through AI.

You Will:

•                 Copilot Agent Development: Use Microsoft Copilot Studio and Agent Builder to create, test, and deploy AI agents that automate workflows, answer queries, and support internal teams.

•                 Data Engineering Enablement: Build agents that assist with data connector scaffolding, pipeline generation, and onboarding support for engineers.

•                 Knowledge Base Integration: Curate and integrate documentation (e.g., ERDs, connector specs) into Copilot-accessible repositories (SharePoint, Confluence) to support contextual AI responses.

•                 Prompt Engineering: Design reusable prompt templates and conversational flows to streamline repeated tasks and improve agent usability.

•                 Tool Evaluation & Integration: Assess and integrate complementary AI tools (e.g., GitLab Duo, Databricks AI, Notebook LM) to extend Copilot capabilities.

•                 Cross-Functional Collaboration: Partner with product, delivery, PMO, and security teams to identify high-value use cases and scale successful agent implementations.

•                 Governance & Monitoring: Ensure agents align with Responsible AI principles, monitor performance, and iterate based on feedback and evolving business needs.

•                 Adoption and Usage Reporting: Use Microsoft Viva Insights and other tools to report on user adoption, usage and business value delivered.

What We're Looking For:

•                 Proven experience with Microsoft 365 Copilot, Copilot Studio, or similar AI platforms, ChatGPT, Claude, etc.

•                 Strong understanding of data engineering workflows, tools (e.g., Git, Databricks, Unity Catalog), and documentation practices.

•                 Familiarity with SharePoint, Confluence, and Microsoft Graph connectors.

•                 Experience in prompt engineering and conversational UX design.

•                 Ability to translate business needs into scalable AI solutions.

•                 Excellent communication and collaboration skills across technical and non-technical

Bonus Points:

•                 Experience with GitLab Duo, Notebook LM, or other AI developer tools.

•                 Background in enterprise data platforms, ETL pipelines, or internal business systems.

•                 Exposure to AI governance, security, and compliance frameworks.

•                 Prior work in a regulated industry (e.g., healthcare, finance) is a plus.

Required Skills: Advanced Hardware Board Design Expertise, Signal Integrity, EMI/EMC & Design Analysis, Board Bring-Up & Troubleshooting, EDA Tools & Technical Documentation, Cross-Functional & Supply Chain Coordination

Criteria:

• Education: B.Tech / M.Tech in ECE / CSE / IT
• Experience: 10–12 years in hardware board design, system hardware engineering, and full product deployment cycles
• Proven expertise in digital, analog, and power electronic circuit analysis & design
• Strong hands-on experience designing boards with SoCs, FPGAs, CPLDs, and MPSoC architectures
• Deep understanding of signal integrity, EMI/EMC, and high-speed design considerations
• Must have successfully completed at least two hardware product development cycles from high-level design to final deployment
• Ability to independently handle schematic design, design analysis (DC drop, SI), and cross-team design reviews
• Experience in sourcing & procurement of electronic components, PCBs, and mechanical parts for embedded/IoT/industrial hardware
• Strong experience in board bring-up, debugging, issue investigation, and cross-functional triage with firmware/software teams
• Expertise in hardware validation, test planning, test execution, equipment selection, debugging, and report preparation
• Proficiency in Cadence Allegro or Altium EDA tools (mandatory)
• Experience coordinating with layout, mechanical, SI, EMC, manufacturing, and supply chain teams
• Strong understanding of manufacturing services, production pricing models, supply chain, and logistics for electronics/electromechanical components

Description

REQUIRED SKILLS:

• Extensive experience in hardware board designs and towards multiple product field deployment cycle.

• Strong foundation and expertise in analyzing digital, Analog and power electronic circuits.

• Proficient with SoC, FPGAs, CPLD and MPSOC architecture-based board designs.

• Knowledgeable in signal integrity, EMI/EMC concepts for digital and power electronics.

• Completed at least two project from high-level design to final product level deployment.

• Capable of independently managing product’s schematic, design analysis DC Drop, Singal Integrity, and coordinating reviews with peer of layout, mechanical, SI, and EMC teams.

• Sourcing and procurement of electronic components, PCBs, and mechanical parts for cutting-edge IoT, embedded, and industrial product development.

• Experienced in board bring-up, issue investigation, and triage in collaboration with firmware and software teams.

• Skilled in preparing hardware design documentation, validation test planning, identify necessary test equipment, test development, execution, debugging, and report preparation.

• Effective communication and interpersonal skills for collaborative work with cross-functional teams, including post-silicon bench validation, BIOS, and driver development/QA.

• Hands-on experience with Cadence Allegro/Altium EDA tools is essential.

• Familiarity with programming and scripting languages like Python and Perl, and experience in test automation is advantageous.

• Should have excellent exposure with coordination of Manufacturing Services, pricing model for production value supply chain & Logistics in electronics and electromechanical components domain.

Education Requirements: 

B. Tech / M. Tech (ECE/ CSE/ IT)

Experience - 10 to 12 Years

Job Description: Python-Azure AI Developer

Experience: 5+ years

Locations: Bangalore | Pune | Chennai | Jaipur | Hyderabad | Gurgaon | Bhopal

Mandatory Skills:

• Python: Expert-level proficiency with FastAPI/Flask
• Azure Services: Hands-on experience integrating Azure cloud services
• Databases: PostgreSQL, Redis
• AI Expertise: Exposure to Agentic AI technologies, frameworks, or SDKs with strong conceptual understanding

Good to Have:

• Workflow automation tools (n8n or similar)
• Experience with LangChain, AutoGen, or other AI agent frameworks
• Azure OpenAI Service knowledge

Key Responsibilities:

• Develop AI-powered applications using Python and Azure
• Build RESTful APIs with FastAPI/Flask
• Integrate Azure services for AI/ML workloads
• Implement agentic AI solutions
• Database optimization and management
• Workflow automation implementation

Job Description – Senior Technical Business Analyst

Location: Trivandrum (Preferred) | Open to any location in India

Shift Timings - 8 hours window between the 7:30 PM IST - 4:30 AM IST

About the Role

We are seeking highly motivated and analytically strong Senior Technical Business Analysts who can work seamlessly with business and technology stakeholders to convert a one-line problem statement into a well-defined project or opportunity. This role is ideal for fresh graduates who have a strong foundation in data analytics, data engineering, data visualization, and data science, along with a strong drive to learn, collaborate, and grow in a dynamic, fast-paced environment.

As a Technical Business Analyst, you will be responsible for translating complex business challenges into actionable user stories, analytical models, and executable tasks in Jira. You will work across the entire data lifecycle—from understanding business context to delivering insights, solutions, and measurable outcomes.

Key Responsibilities

Business & Analytical Responsibilities

• Partner with business teams to understand one-line problem statements and translate them into detailed business requirements, opportunities, and project scope.
• Conduct exploratory data analysis (EDA) to uncover trends, patterns, and business insights.
• Create documentation including Business Requirement Documents (BRDs), user stories, process flows, and analytical models.
• Break down business needs into concise, actionable, and development-ready user stories in Jira.

Data & Technical Responsibilities

• Collaborate with data engineering teams to design, review, and validate data pipelines, data models, and ETL/ELT workflows.
• Build dashboards, reports, and data visualizations using leading BI tools to communicate insights effectively.
• Apply foundational data science concepts such as statistical analysis, predictive modeling, and machine learning fundamentals.
• Validate and ensure data quality, consistency, and accuracy across datasets and systems.

Collaboration & Execution

• Work closely with product, engineering, BI, and operations teams to support the end-to-end delivery of analytical solutions.
• Assist in development, testing, and rollout of data-driven solutions.
• Present findings, insights, and recommendations clearly and confidently to both technical and non-technical stakeholders.

Required Skillsets

Core Technical Skills

• 6+ years of Technical Business Analyst experience within an overall professional experience of 8+ years
• Data Analytics: SQL, descriptive analytics, business problem framing.
• Data Engineering (Foundational): Understanding of data warehousing, ETL/ELT processes, cloud data platforms (AWS/GCP/Azure preferred).
• Data Visualization: Experience with Power BI, Tableau, or equivalent tools.
• Data Science (Basic/Intermediate): Python/R, statistical methods, fundamentals of ML algorithms.

Soft Skills

• Strong analytical thinking and structured problem-solving capability.
• Ability to convert business problems into clear technical requirements.
• Excellent communication, documentation, and presentation skills.
• High curiosity, adaptability, and eagerness to learn new tools and techniques.

Educational Qualifications

• BE/B.Tech or equivalent in:
• Computer Science / IT
• Data Science

What We Look For

• Demonstrated passion for data and analytics through projects and certifications.
• Strong commitment to continuous learning and innovation.
• Ability to work both independently and in collaborative team environments.
• Passion for solving business problems using data-driven approaches.
• Proven ability (or aptitude) to convert a one-line business problem into a structured project or opportunity.

Why Join Us?

• Exposure to modern data platforms, analytics tools, and AI technologies.
• A culture that promotes innovation, ownership, and continuous learning.
• Supportive environment to build a strong career in data and analytics.

Skills: Data Analytics, Business Analysis, Sql

Must-Haves

Technical Business Analyst (6+ years), SQL, Data Visualization (Power BI, Tableau), Data Engineering (ETL/ELT, cloud platforms), Python/R

Review Criteria

• Strong Senior Data Scientist (AI/ML/GenAI) Profile
• 5+ years of experience in designing, developing, and deploying Machine Learning / Deep Learning (ML/DL) systems in production
• Must have strong hands-on experience in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX.
• 1+ years of experience in fine-tuning Large Language Models (LLMs) using techniques like LoRA/QLoRA, and building RAG (Retrieval-Augmented Generation) pipelines.
• Must have experience with MLOps and production-grade systems including Docker, Kubernetes, Spark, model registries, and CI/CD workflows

Preferred

• Prior experience in open-source GenAI contributions, applied LLM/GenAI research, or large-scale production AI systems
• Preferred (Education) – B.S./M.S./Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.

Job Specific Criteria

• CV Attachment is mandatory
• Which is your preferred job location (Mumbai / Bengaluru / Hyderabad / Gurgaon)?
• Are you okay with 3 Days WFO?
• Virtual Interview requires video to be on, are you okay with it?

Role & Responsibilities

Company is hiring a Senior Data Scientist with strong expertise in AI, machine learning engineering (MLE), and generative AI. You will play a leading role in designing, deploying, and scaling production-grade ML systems — including large language model (LLM)-based pipelines, AI copilots, and agentic workflows. This role is ideal for someone who thrives on balancing cutting-edge research with production rigor and loves mentoring while building impact-first AI applications.

Responsibilities:

• Own the full ML lifecycle: model design, training, evaluation, deployment
• Design production-ready ML pipelines with CI/CD, testing, monitoring, and drift detection
• Fine-tune LLMs and implement retrieval-augmented generation (RAG) pipelines
• Build agentic workflows for reasoning, planning, and decision-making
• Develop both real-time and batch inference systems using Docker, Kubernetes, and Spark
• Leverage state-of-the-art architectures: transformers, diffusion models, RLHF, and multimodal pipelines
• Collaborate with product and engineering teams to integrate AI models into business applications
• Mentor junior team members and promote MLOps, scalable architecture, and responsible AI best practices

Ideal Candidate

• 5+ years of experience in designing, deploying, and scaling ML/DL systems in production
• Proficient in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX
• Experience with LLM fine-tuning, LoRA/QLoRA, vector search (Weaviate/PGVector), and RAG pipelines
• Familiarity with agent-based development (e.g., ReAct agents, function-calling, orchestration)
• Solid understanding of MLOps: Docker, Kubernetes, Spark, model registries, and deployment workflows
• Strong software engineering background with experience in testing, version control, and APIs
• Proven ability to balance innovation with scalable deployment
• B.S./M.S./Ph.D. in Computer Science, Data Science, or a related field
• Bonus: Open-source contributions, GenAI research, or applied systems at scale

We’re Hiring – Automation Test Engineer!

We at Versatile Commerce are looking for passionate Automation Testing Professionals to join our growing team!

📍 Location: Gachibowli, Hyderabad (Work from Office)

💼 Experience: 3 – 5 Years

⏳ Notice Period: Immediate Joiners Preferred

What we’re looking for:

✅ Strong experience in Selenium / Cypress / Playwright

✅ Proficient in Java / Python / JavaScript

✅ Hands-on with TestNG / JUnit / Maven / Jenkins

✅ Experience in API Automation (Postman / REST Assured)

✅ Good understanding of Agile Testing & Defect Management Tools (JIRA, Zephyr)

Role Summary

We are seeking a Full-Stack Developer to build and secure features for our Therapy Planning Software (TPS), which integrates with RMS/RIS, EMR systems, devices (DICOM, Bluetooth, VR, robotics, FES), and supports ICD–ICF–ICHI coding. The role involves ~40% frontend and 60% backend development, with end-to-end responsibility for security across application layers.

Responsibilities

Frontend (40%)

1. Build responsive, accessible UI in React + TypeScript (or Angular/Vue).
2. Implement multilingual (i18n/l10n) and WCAG 2.1 accessibility standards.
3. Develop offline-capable PWAs for home programs.
4. Integrate REST/FHIR APIs for patient workflows, scheduling, and reporting.
5. Support features like voice-to-text, video capture, and compression.

Backend (60%)

1. Design and scale REST APIs using Python (FastAPI/Django).
2. Build modules for EMR storage, assessments, therapy plans, and data logging.
3. Implement HL7/FHIR endpoints and secure integrations with external EMRs.
4. Handle file uploads (virus scanning, HD video compression, secure storage).
5. Optimize PostgreSQL schemas and queries for performance.
6. Implement RBAC, MFA, PDPA compliance, edit locks, and audit trails.

Security Layer (Ownership)

1. Identity & Access: OAuth2/OIDC, JWT, MFA, SSO.
2. Data Protection: TLS, AES-256 at rest, field-level encryption, immutable audit logs.
3. Compliance: PDPA, HIPAA principles, MDA requirements.
4. DevSecOps: Secure coding (OWASP ASVS), dependency scanning, secrets management.
5. Monitoring: Logging/metrics (ELK/Prometheus), anomaly detection, DR/BCP preparedness.

Requirements

• Strong skills in Python (FastAPI/Django) and React + TypeScript.
• Experience with HL7/FHIR, EMR data, and REST APIs.
• Knowledge of OAuth2/JWT authentication, RBAC, audit logging.
• Proficiency with PostgreSQL and database optimization.
• Cloud deployment (AWS/Azure) and containerization (Docker/K8s) a plus.

Added Advantage

• Familiarity with ICD, ICF, ICHI coding systems or medical diagnosis workflows.

Success Metrics

• Deliver secure end-to-end features with clinical workflow integration.
• Pass OWASP/ASVS L2 security baseline.
• Establish full audit trail and role-based access across at least one clinical workflow.

📍Company: Versatile Commerce

 📍 Position: Data Scientists

 📍 Experience: 3-9 yrs

 📍 Location: Hyderabad (WFO)

 📅 Notice Period: 0- 15 Days

At Pipaltree, we’re building an AI-enabled platform that helps brands understand how they’re truly perceived — not through surveys or static dashboards, but through real conversations happening across the world.

We’re a small team solving deep technical and product challenges: orchestrating large-scale conversation data, applying reasoning and summarization models, and turning this into insights that businesses can trust.

Requirements:

• Deep understanding of distributed systems and asynchronous programming in Python
• Experience with building scalable applications using LLMs or traditional ML techniques
• Experience with Databases, Cache, and Micro services
• Experience with DevOps is a huge plus

Strong Full stack developer Profile

Mandatory (Experience 1) - Must Have Minimum 5+ YOE in Software Development,

Mandatory (Experience 2) - Must have 4+ YOE in backend using Python.

Mandatory (Experience 3) - Must have good experience in frontend using React JS with knowledge of HTML, CSS, and JavaScript.

Mandatory (Experience 4) - Must have Experience in any databases - MySQL / PostgreSQL / Postgres / Oracle / SQL Server /

Our Client is looking to hire Databricks Amin immediatly.

This is PAN-INDIA Bulk hiring

Minimum of 6-8+ years with Databricks, Pyspark/Python and AWS.

Must have AWS

Notice 15-30 days is preferred.

Share profiles at hr at etpspl dot com

Please refer/share our email to your friends/colleagues who are looking for job.

Full-Stack Developer

Exp: 5+ years required

Night shift: 8 PM-5 AM/9PM-6 AM

Only Immediate Joinee Can Apply

We are seeking a mid-to-senior level Full-Stack Developer with a foundational understanding of software development, cloud services, and database management. In this role, you will contribute to both the front-end and back-end of our application. focusing on creating a seamless user experience, supported by robust and scalable cloud infrastructure.

Key Responsibilities

● Develop and maintain user-facing features using React.js and TypeScript.

● Write clean, efficient, and well-documented JavaScript/TypeScript code.

● Assist in managing and provisioning cloud infrastructure on AWS using Infrastructure as Code (IaC) principles.

● Contribute to the design, implementation, and maintenance of our databases.

● Collaborate with senior developers and product managers to deliver high-quality software.

● Troubleshoot and debug issues across the full stack.

● Participate in code reviews to maintain code quality and share knowledge.

Qualifications

● Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.

● 5+ years of professional experience in web development.

● Proficiency in JavaScript and/or TypeScript.

● Proficiency in Golang and Python.

● Hands-on experience with the React.js library for building user interfaces.

● Familiarity with Infrastructure as Code (IaC) tools and concepts (e.g.(AWS CDK, Terraform, or CloudFormation).

● Basic understanding of AWS and its core services (e.g., S3, EC2, Lambda, DynamoDB).

● Experience with database management, including relational (e.g., PostgreSQL) or NoSQL (e.g., DynamoDB, MongoDB) databases.

● Strong problem-solving skills and a willingness to learn.

● Familiarity with modern front-end build pipelines and tools like Vite and Tailwind CSS.

● Knowledge of CI/CD pipelines and automated testing.

We are seeking a mid-to-senior level Full-Stack Developer with a foundational understanding of software development, cloud services, and database management. In this role, you will contribute to both the front-end and back-end of our application. focusing on creating a seamless user experience, supported by robust and scalable cloud infrastructure.

Key Responsibilities

● Develop and maintain user-facing features using React.js and TypeScript.

● Write clean, efficient, and well-documented JavaScript/TypeScript code.

● Assist in managing and provisioning cloud infrastructure on AWS using Infrastructure as Code (IaC) principles.

● Contribute to the design, implementation, and maintenance of our databases.

● Collaborate with senior developers and product managers to deliver high-quality software.

● Troubleshoot and debug issues across the full stack.

● Participate in code reviews to maintain code quality and share knowledge.

Qualifications

● Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.

● 5+ years of professional experience in web development.

● Proficiency in JavaScript and/or TypeScript.

● Proficiency in Golang and Python.

● Hands-on experience with the React.js library for building user interfaces.

● Familiarity with Infrastructure as Code (IaC) tools and concepts (e.g.(AWS CDK, Terraform, or CloudFormation).

● Basic understanding of AWS and its core services (e.g., S3, EC2, Lambda, DynamoDB).

● Experience with database management, including relational (e.g., PostgreSQL) or NoSQL (e.g., DynamoDB, MongoDB) databases.

● Strong problem-solving skills and a willingness to learn.

● Familiarity with modern front-end build pipelines and tools like Vite and Tailwind CSS.

● Knowledge of CI/CD pipelines and automated testing.

Job Description:

Role: Data Scientist

Responsibilities:

 Lead data science and machine learning projects, contributing to model development, optimization and evaluation. 

 Perform data cleaning, feature engineering, and exploratory data analysis.  

Translate business requirements into technical solutions, document and communicate project progress, manage non-technical stakeholders.

Collaborate with other DS and engineers to deliver projects.

Technical Skills – Must have:

Experience in and understanding of the natural language processing (NLP) and large language model (LLM) landscape.

Proficiency with Python for data analysis, supervised & unsupervised learning ML tasks.

Ability to translate complex machine learning problem statements into specific deliverables and requirements.

Should have worked with major cloud platforms such as AWS, Azure or GCP.

Working knowledge of SQL and no-SQL databases.

Ability to create data and ML pipelines for more efficient and repeatable data science projects using MLOps principles.

Keep abreast with new tools, algorithms and techniques in machine learning and works to implement them in the organization.

Strong understanding of evaluation and monitoring metrics for machine learning projects.