125 Azzure Jobs - Page 5

Role & responsibilities Experience Target (in this job or a related function/field): 5+ years progressive experience within an IT development organization(s) preferred. At least three years experience with a 24x7 development/support organization desired. Skills: Required (5+ years ) Skilled in various architectures including Microsoft .Net framework, C#, Asp.Net Core with MVC , Lambda expressions Proficient with front-end development languages including HTML, CSS, ASP.Net forms, JQuery, JavaScript, Bootstrap, Node/NPM, SASS/SCSS, Angular/React, Vite, Typescript Proficient with middleware tools such as REST APIs and web services Solid database skills in Oracle & SQL Server. Must master database schemas, write complex stored procedures, queries and competently analyze results. Bonus Experience interfacing with & manipulating active directory attributes Scripting Python, PowerShell ETL experience – SSIS, Azure Data Factory Familiarity with Cloud platforms (Azure/AWS)

We are seeking a proficient AI/ML Engineer responsible for testing, deploying, and hosting various Large Language Models (LLMs). The role involves monitoring deployed agentic services, ensuring their optimal performance, and staying abreast of the latest advancements in AI technologies. Key Responsibilities: LLM Deployment & Hosting Evaluate, test, and deploy diverse LLMs on cloud-based and on-premise infrastructures. Optimize model performance for scalability and efficiency. Implement secure API endpoints and model-serving pipelines. Strong CI/CD skills and knowledge of CI/CD tools like Jenkins, GitHub Actions, CircleCI etc. Agentic AI Services Deploy and maintain AI agents using frameworks such as CrewAI, Agnos(Phi Data), AutoGen etc. Integrate LLMs into business workflows and automation tools. Design, monitor, and enhance agentic services for real-world applications. Monitoring & Optimization Utilize advanced observability tools to monitor model performance, latency, and cost efficiency. Implement tools like AgentOps, OpenLIT, Langfuse, and Langtrace for comprehensive monitoring and debugging of LLM applications. Develop logging, tracing, and alerting systems for deployed models and AI agents. Conduct A/B testing and gather user feedback to refine AI behavior. Address model drift and retrain models as necessary. Best Practices & Research Stay updated with the latest advancements in AI, LLMs, and agentic systems. Implement best practices for prompt engineering, reinforcement learning from human feedback (RLHF), and fine-tuning methodologies. Optimize compute costs and infrastructure usage for AI applications. Collaborate with researchers and ML engineers to integrate state-of-the-art AI techniques. Strong knowledge on version control tools like GitHub Qualifications & Skills: Proficiency with LLM frameworks such as Hugging Face Transformers, OpenAI API, or Meta AI models. Strong programming skills in Python and experience with deep learning libraries (PyTorch, TensorFlow, JAX). Experience with cloud platforms (AWS, Azure, GCP) and model deployment tools (Docker, Kubernetes, FastAPI, Ray Serve). Familiarity with vector databases (FAISS, Pinecone, Weaviate) and retrieval-augmented generation (RAG) techniques. Hands-on experience with monitoring tools such as AgentOps, OpenLIT, Langfuse, and Langtrace. Understanding of prompt engineering, LLM fine-tuning, and agent-based automation. Excellent problem-solving skills and the ability to work in a dynamic AI research and deployment team. Preferred Qualifications: Experience in reinforcement learning, fine-tuning LLMs, or training custom models. Knowledge of security best practices for AI applications. Contributions to open-source AI/ML projects or research publications in the field.

machine learning algorithms and deep learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) Proficiency in Python data processing libraries (Pandas, NumPy) Knowledge of cloud platforms like AWS, GCP, or Azure NLP,LLM,GenAI

Node.js experience, TypeScript, JavaScript, NoSQL/Graph databases, and API development. Expertise in GraphQL, Docker, cloud deployment (AWS/Azure), (React.js/AngularJS) is required. Knowledge of API security, logging, Koa.js, and build tools is plus

Design and build the GenAI core platform from scratch Develop agentic ecosystems that empower internal teams to build intelligent, autonomous financial solutions Drive end-to-end system design, from idea to deployment, for India-scale infrastructure Required Candidate profile A technologist who loves building platforms, not just applications Have production-level experience with large-scale distributed systems Should have experience in Netflix, Google, Meta, Amazon only.

Talent Worx is a growing services & recruitment consulting firm, we are hiring for our client which is a leading Big4 Consulting firm and provider of financial intelligence, data analytics, and AI-driven solutions, empowering businesses worldwide with insights for confident decision-making. Join to work on cutting-edge technologies, drive digital transformation, and shape the future of global markets. Experience: Minimum 5 -6+ years of proven experience in Java development with a focus on Spring Boot. Portfolio showcasing technical skills and previous project work. Core Development Skills: Proficiency in Java 8+, Spring Boot, and Hibernate. Experience in developing and maintaining RESTful APIs and microservices architecture. Strong understanding of object-oriented programming and design patterns. Hands-on experience with data structures, multi-threading, concurrency, and error-handling. Front-End Technologies: Familiarity with front-end technologies like React JS or Angular JS, HTML, CSS, and JavaScript. Database Skills: Proficiency in working with SQL databases (PostgreSQL, MySQL, Oracle, Azure SQL Database). Experience with NoSQL databases (e.g., MongoDB). DevOps and CI/CD: Experience with CI/CD pipelines using tools like Jenkins, GitLab, etc. Hands-on experience with Docker and Kubernetes for containerized runtime environments. Knowledge of cloud platforms like Azure or AWS. Security and Troubleshooting: Understanding of enterprise security, including certificate management. Proficiency in troubleshooting, root-cause analysis, and application design. Development Practices: Adherence to development best practices such as Clean Code and Design principles. Ability to write automated unit and integration test cases. Commitment to Agile/Scrum practices. Scripting and Additional Skills: Willingness to work with scripting languages like Python or Shell scripting. Knowledge of GIT for version control and collaborative development. Soft Skills: Strong analytical, time management, and organizational skills. Excellent written and verbal communication skills. Ability to collaborate. Note: We are looking for immediate joiners only - who can join us in less than a month.

JOB OVERVIEW The ideal candidate will be responsible for analyzing and interpreting large data sets related to finance , sales and supply chain operations to optimize business processes, identify opportunities for improvement, and provide strategic insights to support decision-making. The Data Scientist will work closely with cross-functional teams to identify key business questions, design and implement statistical models, and develop innovative data-driven solutions. Key Responsibilities: Analyze and interpret large data sets to identify trends, patterns, and opportunities for improvement Develop statistical models and machine learning algorithms to optimize processes, reduce costs, and improve efficiency Collaborate with cross-functional teams to identify business needs, design experiments, and develop solutions that leverage data analytics and machine learning techniques Create and maintain data pipelines and databases to support ongoing data analysis and modeling activities Communicate findings and insights to key stakeholders in a clear and concise manner Continuously monitor and evaluate model performance to ensure accuracy, efficiency, and effectiveness Requirements: Bachelors or masters degree in data science, Statistics, Mathematics, Computer Science, or a related field 3+ years of experience working in a data science role, preferably in a finance or supply chain environment Strong proficiency in programming languages such as Python or R Proficiency in Azure, Snowflake and Airflow Expertise in statistical modeling, machine learning, and data visualization techniques Experience with database technologies such as SQL and NoSQL Excellent communication skills and ability to work collaboratively in a cross-functional team environment Technical Skills: Proficiency in programming languages: The ideal candidate should have strong programming skills in languages such as Python or R, as these are commonly used for data manipulation, analysis, and modeling. They should be able to write clean, efficient, and scalable code to extract, transform, and load data from various sources, and perform complex data analysis tasks using libraries such as NumPy, Pandas, and SciPy. Statistical modeling and machine learning: The candidate should have expertise in statistical modeling and machine learning techniques, including regression analysis, time series forecasting, clustering, classification, and deep learning. They should be able to apply these techniques to real-world problems. Data visualization: The candidate should be able to create meaningful and insightful visualizations of complex data sets using tools such as Matplotlib, Seaborn, or Tableau. They should be able to communicate complex analytical results and insights to non-technical stakeholders in an easily understandable and visually appealing manner. Database technologies: The candidate should have experience working with database technologies such as SQL and NoSQL to extract and transform data from relational and non-relational databases. They should be familiar with concepts such as normalization, indexing, and query optimization, and be able to design and optimize data schemas for efficient data processing and analysis.

Collaborated in Agile teams to automate infra tasks using Ansible,Python,PowerShell. Enhanced existing scripts, supported Ansible & Aria platforms, used Azure DevOps for deployment, & scripted with Ansible/Terraform for efficient automation delivery. Required Candidate profile 3y- Ansible Development 2+y - Power Shell/ Python/Shell script Jira/ADO - Any ticketing tool is fine Ansible Tower, Any other Automation or Orchestrator Development exp with coding ability required

Role & responsibilities As a Security Champion embedded within AZRE development teams, you will be the security liaison ensuring secure software delivery aligned with regulatory requirements such as GDPR, Solvency II, and EIOPA guidelines. Your role will focus on embedding security practices into the Development lifecycle of IT products delivered. You will drive compliance and collaborate to safeguard sensitive data/systems and support continuous improvement of security posture in the development team/environment • Security Advocacy & Enablement in the development team • DevSecOps approach for Integration & Automation: • Compliance & Regulatory Alignment: • Risk Management & Incident Response: • Domain-specific Vulnerability & Risk Management: • Cross-Geography Collaboration & Leadership: • Incident Response & Security Governance:

Role & responsibilities Cloud Infrastructure Management Strong experience in architecting, deploying, and managing scalable, highly available, secure, and cost-effective cloud solutions in GCP (preferred), AWS, and Azure. Proficiency in Infrastructure as Code (IaC) using tools like Terraform or CloudFormation. Linux System Administration Solid hands-on experience in Linux system administration, troubleshooting, performance tuning, and scripting (Bash/Python). Strong understanding of server-level operations, process management, and file systems in Linux environments. Continuous Integration and Continuous Deployment (CI/CD) Hands-on experience in designing and implementing CI/CD pipelines to automate build, test, and deployment processes. Expertise with CI/CD tools such as Jenkins, GitLab CI/CD, Bitbucket Pipelines, and GitHub Actions. Containerization and Orchestration Proficient in Docker for containerization and experienced in managing containerized environments. Exposure to Kubernetes or other orchestration tools to ensure application scalability, high availability, and reliability. Monitoring, Logging, and Observability Ability to set up monitoring and alerting systems (e.g., Prometheus, Grafana, Cloud Monitoring) for proactive issue detection. Experience with centralized logging solutions (e.g., ELK Stack, Loki, Cloud Logging) to facilitate efficient troubleshooting. On-Premises Servers and Networking Basic experience managing on-premises servers and understanding networking fundamentals (DNS, Load Balancing, Firewalls, VPN). Ability to work in hybrid environments integrating cloud and on-premises infrastructure. Security and Compliance Implementation of cloud security best practices, including IAM policies, VPC security, encryption, and access control. Familiarity with compliance standards such as ISO, GDPR, SOC2, and applying security frameworks in deployments. Collaboration and Leadership Proven ability to collaborate across cross-functional teams and communicate effectively with stakeholders. Technical leadership experience, including mentoring junior team members and driving DevOps culture and best practices within the team. SKILLS REQUIRED Cloud Infrastructure Management Server Administration DevOps CI/CD Tools Containerization Scripting On-Premise & Hybrid Infrastructure Networking Fundamentals Monitoring & Logging IT Compliance

AI Engineers develop a wide range of artificial intelligence tools that help automate processes. They train computers to think and work more like humans to offer automation solutions. Examples of AI tools include chatbots, translation

Job Title: Full Stack Developer (4+ Years Experience) Location: Pune, Onsite (Please apply only if you are currently based in Pune) Experience Required: 4+ years Technology: .NET, React, any other tech stack is a plus Only immediate joiners should apply. About the Role We are looking for a highly skilled Full Stack Developer with expertise in .NET and React to join our growing team in Pune. This role demands a strong understanding of backend and frontend technologies to contribute to high-impact enterprise projects. If you're passionate about clean architecture, performance, and scalability, and you're available to join immediately, we want to talk to you. Key Responsibilities: Develop and maintain scalable web applications using .NET (C#) for backend and React.js for frontend. Design and implement RESTful APIs and integrate them with the frontend. Collaborate with UI/UX designers, QA engineers, and other developers to deliver quality products. Participate in code reviews and maintain high standards for code quality. Optimize application performance, scalability, and responsiveness. Maintain version control using Git and participate in CI/CD pipeline processes. Required Skills: Strong hands-on experience in .NET Core / ASP.NET Core (Web API) Solid experience with React.js and JavaScript/TypeScript Experience with Entity Framework / Dapper , LINQ, and SQL Server Proficiency in HTML5, CSS3, SCSS , and modern frontend development practices Knowledge of REST API design , token-based authentication (JWT/OAuth) Familiarity with Git, CI/CD tools, and agile development practices

- Senior AI/ML Engineer | 8 yrs | Bangalore - Prompt Engineering, LLMs (temp, top_p) - LangChain, LangGraph, CrewAI - RAG, LLM evaluation & observability - Python, Cloud deployment (AWS/GCP/Azure) Required Candidate profile - Prompt Engineering - LLMs & hyperparameters - LangChain/LangGraph/CrewAI - RAG - LLM evaluation - Python - Cloud deployment

We are seeking a talented and motivated Full-Stack Developer to join our team. In this role, you will be responsible for developing and maintaining both front-end and back-end components of web applications. You will collaborate with UI/UX designers, Required Candidate profile product managers, and other developers to deliver high-quality, scalable, and user-friendly solutions. Communication: Excellent communication and problem-solving skill.

About the Role: We are seeking a Lead Software Engineer with experiences in full stack and strong experience in Data, AI, Cloud, and DevOps . As a critical resource across multiple engagements, you will work on diverse projects involving full-stack development, AI-driven applications, scalable cloud solutions, and DevOps automation . You should be highly adaptable, eager to learn, and capable of delivering high-quality, efficient, and scalable solutions across multiple domains. Key Responsibilities: Full-Stack Development (MERN & Beyond) Design, develop, and maintain scalable full-stack applications on web and mobile. Optimize front-end performance and ensure smooth UI/UX experiences. Build and integrate RESTful & GraphQL APIs . Data & AI Development Work with data pipelines, ETL processes, and real-time data processing . Integrate AI/ML models (TensorFlow, PyTorch, OpenAI APIs, or similar) into applications. Develop AI-powered features such as recommendation engines, chatbots, and agentic solutions . Cloud & DevOps Deploy, manage, and optimize applications on AWS, Azure, or GCP . Implement Infrastructure as Code (Terraform, Cloud Formation, Pulumi) for cloud automation. Design and maintain CI/CD pipelines using GitHub Actions, Jenkins, GitLab CI/CD, or similar . Manage containerized applications using Docker & Kubernetes . Ensure scalability, security, and performance of cloud-based applications. Cross-Project Collaboration & Problem Solving Act as a critical resource across multiple projects , adapting quickly to different technical needs. Debug, troubleshoot, and optimize both front-end and back-end systems. Stay updated on emerging web, mobile, AI, and cloud technologies , bringing innovative ideas to the team. Qualifications: 5+ years of experience as a full-stack software developer . Proficiency in JavaScript, TypeScript, Python, Java, .NET or other relevant languages . Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, OpenAI APIs, etc.). Experience with databases (MongoDB, PostgreSQL, MySQL, NoSQL, or distributed databases). Strong knowledge of cloud platforms (AWS, Azure, GCP) and cloud services (Lambda, S3, EC2, DynamoDB, Firebase, etc.). Experience with DevOps tools (Docker, Kubernetes, Terraform, Ansible, CI/CD pipelines). Strong understanding of microservices architecture and event-driven systems . Ability to adapt to multiple projects and technology stacks . Nice to Have: Exposure to Generative AI, LLMs, or NLP-based applications . Experience with serverless architectures . Knowledge of vector databases (Pinecone, FAISS, Weaviate) for AI-powered search. Experience with MLOps and model deployment strategies. Background in data visualization (Tableau, Power BI, Jasper, D3.js).

Role & responsibilities Role Overview We are seeking a highly skilled Senior Backend Engineer with strong expertise in NestJS, Node.js, and TypeScript to architect, build, and optimize backend systems for scalable, secure, and high-performance applications. You will work closely with cross-functional teams to design and implement backend solutions, manage cloud infrastructure, and ensure robust CI/CD pipelines. This role demands deep technical knowledge, hands-on development expertise, and an ability to mentor mid/junior developers while ensuring adherence to best practices in code quality, security, scalability, and DevOps automation . Key Responsibilities Backend Development : Design and develop RESTful and GraphQL APIs using NestJS and Node.js . Write high-performance, modular, and maintainable TypeScript code. Implement business logic, data modeling, and service orchestration. Database Management : Design and optimize schemas in PostgreSQL / MariaDB and MongoDB . Write optimized SQL queries, indexes, and stored procedures. Handle data migrations, replication, and backup strategies. Cloud & Infrastructure : Manage and deploy services on Google Cloud Platform (GCP) including Cloud Storage Buckets, IAM policies, Compute Instances, Cloud DNS, and Hosting . Implement and maintain infrastructure automation with Terraform and Ansible . Manage Kubernetes clusters for deployment scalability. CI/CD & DevOps : Implement and maintain CI/CD pipelines in GitLab and/or Jenkins . Automate build, test, and deployment workflows. Ensure zero-downtime deployments and environment parity. Security : Apply OWASP security principles in backend APIs. Manage IAM roles and permissions in cloud environments. Implement secure API authentication & authorization (JWT, OAuth2). Team Collaboration & Mentorship : Collaborate with frontend, QA, and DevOps teams for smooth delivery. Review code for performance, security, and maintainability. Mentor junior developers and guide best practices. Preferred candidate profile Qualifications Bachelors degree in Computer Science, Engineering, or equivalent experience. 4-6 years of backend development experience with Node.js/NestJS. Strong knowledge of cloud infrastructure (GCP preferred, AWS/Azure is a plus). Proven experience designing and deploying production-grade CI/CD pipelines. Hands-on Kubernetes, Terraform, and Ansible experience. Excellent understanding of relational and NoSQL database performance tuning. Strong problem-solving skills and debugging capabilities. Excellent communication and mentoring skills. Nice-to-Have Skills Experience with Redis, RabbitMQ, or Kafka. Exposure to microservices architecture and distributed systems. Experience with automated testing frameworks (Jest, Mocha, Cypress). Familiarity with observability tools (Prometheus, Grafana, ELK). Benefits A responsible position in a fast-growing and highly innovative start-up An agile and diverse team with colleagues from all over the world, working with our main office in Germany English speaking open work environment, with flat hierarchies and short decision-making paths Creative freedom for own ideas, projects and personal development. Quarterly awards for recognizing the hard work and talent within the team.

Description - External Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. We are seeking an experienced AI/ML Engineers to join our team, focusing on the development and deployment of Generative AI (GENAI) models. This role requires a blend of technical expertise, analytical skills, and effective communication to drive innovative solutions. Primary Responsibilities: Model Deployment: Design, code, and implement software solutions that deploy GENAI models like RAG, Agentic workflows, AI agents into production environments, ensuring scalability and reliability Data Analysis: Investigate and analyze large-scale computing frameworks and data analysis systems to derive actionable insights Stakeholder Communication: Clearly present complex analytics results and concepts to leadership and internal stakeholders, facilitating informed decision-making Cloud Development: Develop and deploy robust data pipelines and machine learning models on cloud platforms such as Azure, AWS, GCP, and Databricks, ensuring optimal performance and security AI/ML Techniques: Employ advanced AI and ML techniques, including natural language processing (NLP), natural language understanding (NLU), semantic understanding, intent classification, computer vision, deep learning, and automatic speech recognition (ASR) Deep Learning Applications: Apply deep learning technologies to enable systems to visualize, learn, and respond to complex scenarios effectively. Interactive Experiences: Adapt machine learning methodologies for applications in artificial intelligence, robotics, and other interactive user experiences Model Observability: Utilize model observability tools to gain insights into the behavior, performance, and health of deployed ML models, including tracking, alerting, and compliance monitoring MLOps Skills: Implement best practices in machine learning operations (MLOps) to streamline workflows and enhance collaboration Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Qualifications - External Required Qualifications: Bachelor of Engineering or equivalent degree 9+ years of total experience in AI/ML roles and data science Experience in establishing AI/ML best practices, standards, and ethics Basic knowledge of statistics and its application in data analysis Solid understanding of the mathematics behind machine learning (ML) and deep learning (DL) algorithms Proficiency in coding with Python, along with libraries such as pandas Proven solid grasp of machine learning and deep learning concepts and methodologies Preferred Qualifications: 2+ years of experience in developing and deploying GENAI models and agents, with familiarity in both cloud-native and cloud-agnostic environments Experience working within a healthcare or regulated industry, with a deep understanding of the unique challenges and compliance requirements Experience in mentoring and coaching AI/ML talent Experience working with cross-functional and distributed teams in a global and diverse environment Demonstrated leadership , people management , business and stake holder management and innovative problem solving skills Proven ability to work independently, manage multiple projects simultaneously, and adapt to changing priorities in a fast-paced environment Proven ability to track record of delivering high-impact AI/ML solutions for real-world problems and use cases At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyoneof every race, gender, sexuality, age, location and incomedeserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes an enterprise priority reflected in our mission.

Full Stack Developer (Vue.js & Node.js.) Job Summary: We are looking for a highly skilled and experienced Full Stack Developer with a strong background in Vue.js and Node.js . The ideal candidate will be responsible for designing, developing, and maintaining complex web applications with a focus on performance, scalability, and user experience. Key Responsibilities: Design, develop, test, and maintain modern web applications using Vue.js and Node.js. Collaborate with UI/UX designers and backend developers to build responsive and scalable front-end and back-end architectures. Develop RESTful and/or GraphQL APIs and integrate with third-party services. Optimize applications for speed and scalability. Implement security and data protection best practices. Troubleshoot, debug and upgrade existing applications. Write clean, maintainable, and efficient code. Participate in code reviews, sprint planning, and architectural discussions. Work in Agile/Scrum development environments and adhere to best development practices. Required Skills & Qualifications: Bachelors degree in Computer Science, Engineering, or related field. 5+ years of professional experience in web development. Strong proficiency in JavaScript , TypeScript , Vue.js (Vue 2/3) , and Node.js (Express/NestJS) . Experience in building and consuming RESTful APIs and/or GraphQL. Proficient in HTML5, CSS3, SCSS, and responsive web design frameworks (Bootstrap/Tailwind). Experience with databases such as MongoDB , MySQL , or PostgreSQL . Knowledge of authentication and authorization mechanisms (OAuth, JWT). Experience with CI/CD tools and cloud services (e.g., AWS, Azure, or GCP) is a plus. Familiar with version control systems (Git/GitHub/GitLab). Strong problem-solving and communication skills. Nice to Have: Experience with Docker, Kubernetes, or microservices architecture. Familiarity with Agile tools like JIRA, Trello, etc. Prior experience in DevOps or basic server administration.

Role & responsibilities Seeking an experienced Data Analyst with strong analytical, statistical, and technical skills. The candidate will be responsible for building data pipelines, analyzing large-scale datasets, and creating dashboards to support model evaluation and business decisions. The role involves working with cross-functional teams to provide data-driven solutions that impact model performance and business metrics. Key Skills: Proficiency in Python or R (pandas, NumPy) Experience with ML libraries: scikit-learn, statsmodels Strong knowledge of statistical analysis and data manipulation SQL for data extraction and transformation BI Tools: Tableau, Power BI Experience with cloud platforms: AWS, GCP, or Azure Knowledge of data engineering and ETL pipeline concepts Strong analytical and problem-solving abilities Effective communication of technical insights to non-technical audiences Qualifications: Bachelors or Masters in Data Science, Statistics, or a related field 3+ years of relevant experience in data analysis, reporting, and visualization

Role & responsibilities: Architect, deploy, and manage scalable cloud environments (AWS/GCP/DO) to support distributed data processing solutions to handle terabyte-scale datasets and billions of records efficiently Automate infrastructure provisioning, monitoring, and disaster recovery using tools like Terraform, Kubernetes, and Prometheus. Optimize CI/CD pipelines to ensure seamless deployment of web scraping workflows and infrastructure updates. Develop and maintain stealthy web scrapers using Puppeteer, Playwright, and headless chromium browsers. Reverse-engineer bot-detection mechanisms (e.g., TLS fingerprinting, CAPTCHA solving) and implement evasion strategies. Monitor system health, troubleshoot bottlenecks, and ensure 99.99% uptime for data collection and processing pipelines. Implement security best practices for cloud infrastructure, including intrusion detection, data encryption, and compliance audits. Partner with data collection, ML and SaaS teams to align infrastructure scalability with evolving data needs Preferred candidate profile : 4-7 years of experience in site reliability engineering and cloud infrastructure management Proficiency in Python, JavaScript for scripting and automation . Hands-on experience with Puppeteer/Playwright, headless browsers, and anti-bot evasion techniques . Knowledge of networking protocols, TLS fingerprinting, and CAPTCHA-solving frameworks . Experience with monitoring and observability tools such as Grafana, Prometheus, Elasticsearch, and familiarity with monitoring and optimizing resource utilization in distributed systems. Experience with data lake architectures and optimizing storage using formats such as Parquet, Avro, or ORC. Strong proficiency in cloud platforms (AWS, GCP, or Azure) and containerization/orchestration (Docker, Kubernetes). Deep understanding of infrastructure-as-code tools (Terraform, Ansible) . Deep experience in designing resilient data systems with a focus on fault tolerance, data replication, and disaster recovery strategies in distributed environments. Experience implementing observability frameworks, distributed tracing, and real-time monitoring tools. Excellent problem-solving abilities, with a collaborative mindset and strong communication skills.

Job Description: We are hiring a Senior Data Engineer with strong expertise in Palantir Foundry or Gotham to lead the design, development, and optimization of data engineering solutions across large-scale enterprise environments. The ideal candidate will have deep experience building secure, high-performance data pipelines using Python, ETL/ELT practices, distributed computing frameworks, and cloud platforms ( AWS ,Azure ,GCP)while working closely with DevOps, analytics, and business teams to enable data-driven decisions. Key Responsibilities: Architect, build, and optimize large-scale ETL/ELT pipelines using Palantir Foundry/Gotham . Integrate diverse data sources including SQL , NoSQL , APIs , and real-time streaming platforms (e.g., Kafka) into Palantirs ontology-driven models . Develop and customize ontologies , transforms , and operational workflows within Palantir to support business intelligence and analytics. Implement scalable, distributed processing using frameworks like Apache Spark , Hadoop , and other big data technologies for handling petabyte-scale datasets . Write efficient, production-grade Python scripts for data transformation, automation, workflow orchestration, and custom business logic. Optimize data workflows and platform performance through query tuning , caching , partitioning , and incremental data updates . Ensure robust data governance , lineage tracking , and enterprise-grade security (e.g., RBAC, encryption). Collaborate with DevOps and platform engineering teams to implement and maintain CI/CD pipelines and automated, scalable deployment processes . Maintain and version-control data assets and transformations using Git and DevOps best practices. Partner with data scientists, analysts, and stakeholders to translate complex business requirements into scalable data engineering solutions. Create and maintain comprehensive technical documentation , including data models, architecture diagrams, deployment workflows, and operational guides. Required Skills: Proven expertise in Palantir Foundry or Gotham , with deep knowledge of its ontology framework, code workbooks, and data pipeline architecture. Strong programming experience in Python and advanced SQL . Hands-on experience with ETL/ELT design , data transformation, and workflow automation. Proficiency with Apache Spark , Hadoop , or similar distributed data processing frameworks. Experience integrating data from relational and non-relational databases , streaming sources , and external APIs . Understanding of data modeling , ontology-driven design , and semantic layers . Solid grasp of CI/CD , DevOps practices , and deployment automation tools. Familiarity with cloud platforms (AWS, Azure, or GCP), containerization (Docker), and orchestration tools (Kubernetes, Airflow). Nice to Have: Experience with Foundry Ontology SDK , Object Explorer, and Python transforms in Palantir. Exposure to data cataloging , metadata management , and monitoring frameworks . Understanding of ML/AI pipeline integration within data platforms. Certifications in Palantir , cloud platforms , or big data technologies.

Position: JAVA Full stack Angular Experience: 6 to 8 Yrs NP: 60 days JD: Required Skills & Qualifications • Overall 5+ years of experience in Angular , Java, SQL Strong proficiency in Java 8+, Spring Boot, and RESTful API development. • Hands-on experience with Angular (12+ preferred) for front-end development. • Solid knowledge of SQL, database design, and query optimization. • Experience with Hibernate/JPA for ORM. • Familiarity with HTML, CSS, JavaScript, TypeScript, and Bootstrap. • Experience with version control systems (Git, GitHub, or GitLab). • Knowledge of Agile development methodologies (Scrum, Kanban). • Understanding of unit testing frameworks like JUnit and integration testing. • Familiarity with cloud services (AWS, Azure, or GCP) is a plus. Nice-to-Have Skills • Experience with Docker, Kubernetes for containerization. • Exposure to CI/CD tools (Jenkins, GitHub Actions, GitLab CI/CD). • Knowledge of authentication and authorization mechanisms (OAuth, JWT, SSO). • Experience with NoSQL databases (MongoDB, Redis). Educational Qualifications • Bachelors

Position: JAVA Full stack Angular Experience: 6 to 8 Yrs NP: 60 days JD: Required Skills & Qualifications • Overall 5+ years of experience in Angular , Java, SQL Strong proficiency in Java 8+, Spring Boot, and RESTful API development. • Hands-on experience with Angular (12+ preferred) for front-end development. • Solid knowledge of SQL, database design, and query optimization. • Experience with Hibernate/JPA for ORM. • Familiarity with HTML, CSS, JavaScript, TypeScript, and Bootstrap. • Experience with version control systems (Git, GitHub, or GitLab). • Knowledge of Agile development methodologies (Scrum, Kanban). • Understanding of unit testing frameworks like JUnit and integration testing. • Familiarity with cloud services (AWS, Azure, or GCP) is a plus. Nice-to-Have Skills • Experience with Docker, Kubernetes for containerization. • Exposure to CI/CD tools (Jenkins, GitHub Actions, GitLab CI/CD). • Knowledge of authentication and authorization mechanisms (OAuth, JWT, SSO). • Experience with NoSQL databases (MongoDB, Redis). Educational Qualifications • Bachelors

* Technology strategy & Implemention * Infrastructure & system management * Network & security * Trading Environment operations * Team leadership & stakeholders management * performance & vendor managament Required Candidate profile - Age - 10 years + -Bachelor's /Master's Degree in computer science -Certifications in Networking, cloud (AWS/AZURE) -Knowledge of trading network connectivity -Market infrastructure experience

Looking for Immediate Joiner only Job Description: Backend Java Developer Location : Hyderabad and Ahmedabad Work model: Hybrid As Senior Java Developer - at TechBlocks, you will be a key contributor to our backend services and microservices' design, development, and optimization. You will work with cutting-edge technologies, including Java, Spring Boot, SQL databases, and cloud platforms, to build scalable and reliable solutions that power our applications. Key Responsibilities Design and develop Java-based backend services and microservices using Spring Boot. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Write efficient and maintainable code that meets high-quality standards. Optimize existing code and identify opportunities for performance improvement. Develop and maintain SQL queries and database schema designs. Implement and maintain CI/CD pipelines using Jenkins and BitBucket for automated testing and deployment. Test and debug applications using tools like Postman and your preferred Integrated Development Environment (IDE). To deploy and manage services, utilize cloud platforms such as Google Kubernetes Engine (GKE), Spanner, BigQuery, Redis, and MongoDB. Work closely with front-end developers and architects to ensure seamless integration of services. Mentor and guide junior developers on best practices and coding standards. Collaborate with DevOps teams to ensure the reliability and scalability of backend services. Requirements Bachelor's degree in computer science, engineering, or a related field (Master's degree preferred). Minimum of 6 years of hands-on experience in backend development using Java. Strong expertise in Java, Spring Boot, and microservices architecture. Proficiency in SQL database design, optimization, and querying. Experience with continuous integration and continuous deployment (CI/CD) using Jenkins and BitBucket. Familiarity with API testing and debugging tools like Postman. Proficiency in using your preferred Integrated Development Environment (IDE). Knowledge of cloud platforms such as GKE (Google Kubernetes Engine), Spanner, BigQuery, Redis, and MongoDB. Strong problem-solving skills and attention to detail. Excellent communication and collaboration skills. Ability to work effectively in a fast-paced and dynamic environment