We are hiring Technical Project Managers with Pre - Sales experience ! We are certified Great Place to Work for second time in a row!! Join Aziro to experience a wonderful work culture and a great career growth! Aziro (Formerly known as MSys Technologies) Job Description : Location: Pune/Chennai/Bangalore/Noida Experience: 12-18 years Job Summary: We are seeking a highly skilled and experienced Pre-Sales Technical Project Manager with 12-18 years of experience to lead and drive proposal efforts for Digital Transformation projects . The ideal candidate will have a strong technical background, a deep understanding of enterprise solutions, and expertise in managing pre-sales activities, including proposal development, solution architecture, and client engagement. Key Responsibilities: Lead and coordinate RFI/RFP , ensuring the development of competitive and tailored responses. Collaborate with sales, solution architects, and delivery teams to define and design Digital Transformation solutions . Develop and validate pricing models , including presumptive scenarios for different service offerings. Identify and mitigate critical risks at the solutioning and transition stages. Define and design change management governance models for seamless transitions. Engage with cross-functional teams, including Legal, Risk & Compliance, IT Infra, Operations, and Finance , to ensure alignment on contractual documents (NDA, MSA, SOW, LOE, etc.). Maintain a repository of pre-sales assets , templates, and case studies for knowledge sharing and efficiency. Required Skills & Experience: 12-18 years of experience in Digital Transformation Projects , with at least 7-10 years in Pre-Sales . Strong expertise in Digital Transformation services, solution design, and pre-sales consulting . Experience in building pricing models, financial projections, and cost-margin analyses . Familiarity with contractual agreements (NDA, MSA, SOW, LOE) and ability to collaborate with legal and compliance teams. Strong analytical skills with the ability to foresee solution and transition risks. Excellent communication, stakeholder management, and cross-functional collaboration skills . Ability to bridge the gap between technical and business teams , ensuring alignment in solutioning. Proficiency in ChatGPT, Microsoft Excel, financial modeling, and proposal documentation tools . Preferred Qualifications: Bachelors/Masters degree in Computer Science, Engineering, or a related field. Certifications in Cloud (AWS/Azure/GCP), PMP, TOGAF, ITIL, or Agile methodologies are a plus. Prior experience working with global clients in consulting or IT services firms. If you are a results-driven Pre-Sales Technical Project Manager with a passion for Digital Transformation , we invite you to apply and be part of our dynamic team!

Site Reliability Engineer - Data Center Storage -------------------------------------------------------------------- As a Site Reliability Engineer - Data Center Storage, you will be responsible for: Must haves: Hands-on working knowledge of the command line in Linux systems Understanding of networking, data center infrastructure, and server provisioning and booting Managing your Jira ticket queue and troubleshooting based on logs and alerts Identifying code-related issues in the validation process and creating tickets for the appropriate team to implement a fix Communicating extensively with data center operations teams, working hand-in-hand to resolve both hardware and software issues Proactively monitoring data storage utilization, I/O capacity, and alerts Understanding storage use cases for common virtualization platforms such as VMware or OpenStack Being on call during business hours for storage-related alerts and escalations Maintaining and contributing to technical documentation, troubleshooting manuals, and runbooks. Continuously reviewing, learning, and understanding internal services and tools relevant to our workflows Being familiar with SLI/SLO/SLA concepts, error budgets, and other SRE terminology, and knowing how to design them Experience with continuous deployment using tools like Jenkins, GitHub Actions, Puppet, Ansible, etc. Ability to write automation scripts using Shell or Python Good to have: Basic knowledge of Pure Storage products such as FlashArray and FlashBlade Experience with hardware from vendors such as Cisco, Brocade, and Supermicro Scripting experience in Python or Ansible is desirable Familiarity with automated booting in a Linux environment The IDEAL Data Center Site Reliability Engineer will also have: Education in Computer Science, Information Systems, or Computer Hardware Engineering Excellent interpersonal and teamwork skills Strong written and verbal communication skills Detail-oriented and a well-organized self-starter Open to constructive feedback Strong problem-solving skills, particularly related to server hardware Ability to take ownership of hardware and software issues and see them through to resolution Proven experience as an SRE, DevOps Engineer, or in a similar role

Solutions Architect : Pre-Sales (Application Modernization & Digital Platforms) Role Summary We are looking for a seasoned Solutions Architect to lead pre-sales solutioning and technical design for application modernization initiatives. This role focuses heavily on application architecture including legacy system transformation, re-platforming, and modular enterprise app design — with working knowledge of cloud-native tools and DevOps principles. The ideal candidate is proficient in Java, Python, Node.js, and .NET, and well-versed in enterprise architecture best practices and design patterns that scale across organizations. Key Responsibilities Architect application modernization solutions during pre-sales engagements, aligning with client business needs and IT strategy. Analyze legacy application portfolios and propose modernization strategies such as rehosting, refactoring, rearchitecting, or rebuilding. Design scalable, resilient, and maintainable solutions using modern architecture patterns (microservices, event-driven, layered architecture). Leverage enterprise design patterns such as: Strangler Fig (incremental modernization) Domain-Driven Design (DDD) CQRS and Event Sourcing API Gateway and BFF (Backend-for-Frontend) Repository, Unit of Work, and Adapter patterns Produce solution architecture documents, estimates, and presentation material for RFPs/RFIs, proposals, and customer pitches. Guide PoC implementations, demo environments, and value accelerators. Ensure solution designs incorporate non-functional requirements: scalability, security, observability, availability, and performance. Technology Stack Languages/Frameworks: Java (Spring Boot, Hibernate, JPA) Python (FastAPI, Django, Celery) Node.js (Express, NestJS) .NET Core (.NET 6/7, ASP.NET Web API) Databases: PostgreSQL, MS SQL, MongoDB, Redis Integration: REST, gRPC, Kafka, RabbitMQ Architecture: Microservices, SOA, Modular Monoliths, Reactive Systems Cloud & DevOps (Secondary Focus) Exposure to AWS, Azure, or GCP cloud services (compute, storage, messaging, API management). Understanding of containerization (Docker, Kubernetes) and CI/CD pipelines. Familiarity with Infrastructure as Code (Terraform, Helm) and observability tools (Prometheus, Grafana, ELK). Best Practices & Architecture Governance Apply industry best practices such as: Twelve-Factor App principles SOLID design principles Secure coding practices (OWASP Top 10) Design-for-failure and graceful degradation Champion documentation standards, reusable reference architectures, and lightweight architecture decision records (ADRs). Participate in architecture review boards and provide guidance to ensure consistency across engagements. Pre-Sales Experience Proven experience creating solution blueprints, technical writeups, and estimates as part of bid responses and proposals. Conduct client workshops, technical discovery, and early-stage assessments. Support business development by identifying architectural differentiators and scalable patterns. Qualifications 10–16 years of experience in software architecture, including recent hands-on involvement in solutioning. Bachelor’s or Master’s degree in Computer Science or Engineering. Certifications preferred: TOGAF, CITA. Exposure to verticals like BFSI, Healthcare, Manufacturing, or Telecom is a plus.

Role Summary We are seeking a skilled and hands-on Senior Artificial Intelligence & Machine Learning (AI/ML) Engineer to build and productionize AI solutionsincluding fine-tuning large language models (LLMs), implementing Retrieval-Augmented Generation (RAG) workflows, multi-agent applications and MLOps pipelines. This role focuses on individual technical contribution and requires close collaboration with solution architects, AIML leads, and fellow engineers to translate business use cases into scalable, secure, cloud-native AI services. The ideal candidate will bring deep technical expertise across the AI/ML lifecycle—from prototyping to deployment—while contributing to a culture of engineering excellence through peer reviews, documentation, and platform innovation. They will play a critical role in delivering robust, high-performance AI systems in partnership with the broader AI/ML team. Key Responsibilities Model Development & Optimization Fine-tune foundation models (e.g., GPT-4, Llama 3). Implement prompt engineering and basic parameter-efficient tuning (e.g., LoRA). Conduct model evaluation for quality, bias, and hallucination; analyze results and suggest improvements. RAG & Agentic Systems (Exposure, Not Ownership) Assist in building RAG pipelines: Participate in integrating and embedding generation, vector stores (e.g., FAISS, pgvector), and retrieval/ranking components. Work with multi-agent frameworks (e.g., LangChain, Crew AI) Production Engineering / MLOps Contribute to CI/CD pipelines for model training and deployment (e.g., GitHub Actions, SageMaker Pipelines). Help automate monitoring for latency, drift, and cost; assist in lineage tracking (e.g., MLflow). Containerize services with Docker and assist in orchestration (e.g., Kubernetes/EKS/GKE) Data & Feature Engineering Build and maintain data pipelines for collection, cleansing, and feature generation (e.g., Airflow, Spark). Implement basic data versioning and assist with synthetic data generation as needed Code Quality & Collaboration Participate in design and code reviews. Contribute to testing (unit, integration, guardrail/hallucination tests) and documentation. Share knowledge through sample notebooks and internal sessions Security, Compliance, Performance Follow secure coding and Responsible AI guidelines. Assist in optimizing inference throughput and cost (e.g., quantization, batching) under guidance. Ensure SLAs are met and contribute to system auditability Technology Stack Programming Languages & Frameworks Python (expert) JavaScript/Go/TypeScript (nice-to-have) Strong knowledge of libraries such as Scikit-learn, Pandas, NumPy, XGBoost, LightGBM, TensorFlow, PyTorch. PyTorch, TensorFlow/Keras, Hugging Face Transformers/PEFT, LangChain/LlamaIndex, Ray/PyTorch Lightning, FastAPI/Flask Experience working with RESTful APIs, authentication (OAuth, API keys), and pagination Cloud & DevOps Expertise in one or more cloud vendors like AWS, GCP, Azure Containers (Docker), Orchestration (Kubernetes, EKS/GKE/AKS) MLOps Databases Relational: PostgreSQL, MySQL NoSQL: MongoDB / DynamoDB Vector Stores: FAISS / pgvector / Pinecone / OpenSearch / Milvus / Weaviate RAG Components Document loaders/parsers, text splitters (recursive/semantic), embeddings (OpenAI, Cohere, Vertex AI), hybrid/BM25 retrievers, rerankers (Cross-Encoder) Multi-Agent Frameworks Crew AI / AutoGen / LangGraph / MetaGPT / Haystack Agents, planning & tool-use patterns Testing & Quality Unit/integration testing (pytest), guardrails Qualifications 7–10years total software/ML engineering experience, including 3+years delivering ML models or GenAI systems to production. Proven track record building and optimising RAG or LLMpowered applications at scale Proficiency in Python and ML frameworks (PyTorch, TensorFlow) and in cloudnative deployment (AWS/GCP/Azure). Handson experience with vector databases, embeddings, and prompt engineering. Experience in regulated industries (Fintech, Healthcare, eCommerce) is a plus. Experience with multiagent frameworks (CrewAI, AutoGen, LangGraph). Certifications such as AWS CertifiedMachineLearning Specialty / AzureAIEngineer / GoogleProfessionalMachineLearningEngineer. Bachelor’s degree in Computer Science, Data Science, Engineering or related discipline (Master’s preferred). Soft Skills & Leadership Attributes Ownership mindset: drives features from design through deployment and monitoring. Clear communicator: explains technical tradeoffs to stakeholders, writes concise docs, and updates project artefacts. Collaboration & mentorship: pairs with junior engineers, shares knowledge in brownbag sessions, gives constructive PR feedback. Continuous learning: tracks latest GenAI research, evaluates new tooling, and proposes incremental improvements.

Solutions Architect : Pre-Sales (Application Modernization & Digital Platforms) Role Summary We are looking for a seasoned Solutions Architect to lead pre-sales solutioning and technical design for application modernization initiatives. This role focuses heavily on application architecture including legacy system transformation, re-platforming, and modular enterprise app design — with working knowledge of cloud-native tools and DevOps principles. The ideal candidate is proficient in Java, Python, Node.js, and .NET, and well-versed in enterprise architecture best practices and design patterns that scale across organizations. Key Responsibilities Architect application modernization solutions during pre-sales engagements, aligning with client business needs and IT strategy. Analyze legacy application portfolios and propose modernization strategies such as rehosting, refactoring, rearchitecting, or rebuilding. Design scalable, resilient, and maintainable solutions using modern architecture patterns (microservices, event-driven, layered architecture). Leverage enterprise design patterns such as: Strangler Fig (incremental modernization) Domain-Driven Design (DDD) CQRS and Event Sourcing API Gateway and BFF (Backend-for-Frontend) Repository, Unit of Work, and Adapter patterns Produce solution architecture documents, estimates, and presentation material for RFPs/RFIs, proposals, and customer pitches. Guide PoC implementations, demo environments, and value accelerators. Ensure solution designs incorporate non-functional requirements: scalability, security, observability, availability, and performance. Technology Stack Languages/Frameworks: Java (Spring Boot, Hibernate, JPA) Python (FastAPI, Django, Celery) Node.js (Express, NestJS) .NET Core (.NET 6/7, ASP.NET Web API) Databases: PostgreSQL, MS SQL, MongoDB, Redis Integration: REST, gRPC, Kafka, RabbitMQ Architecture: Microservices, SOA, Modular Monoliths, Reactive Systems Cloud & DevOps (Secondary Focus) Exposure to AWS, Azure, or GCP cloud services (compute, storage, messaging, API management). Understanding of containerization (Docker, Kubernetes) and CI/CD pipelines. Familiarity with Infrastructure as Code (Terraform, Helm) and observability tools (Prometheus, Grafana, ELK). Best Practices & Architecture Governance Apply industry best practices such as: Twelve-Factor App principles SOLID design principles Secure coding practices (OWASP Top 10) Design-for-failure and graceful degradation Champion documentation standards, reusable reference architectures, and lightweight architecture decision records (ADRs). Participate in architecture review boards and provide guidance to ensure consistency across engagements. Pre-Sales Experience Proven experience creating solution blueprints, technical writeups, and estimates as part of bid responses and proposals. Conduct client workshops, technical discovery, and early-stage assessments. Support business development by identifying architectural differentiators and scalable patterns. Qualifications 10–16 years of experience in software architecture, including recent hands-on involvement in solutioning. Bachelor’s or Master’s degree in Computer Science or Engineering. Certifications preferred: TOGAF, CITA. Exposure to verticals like BFSI, Healthcare, Manufacturing, or Telecom is a plus.

Role & responsibilities Technical Expertise: Proficiency in C programming for low-level systems. Deep understanding of Linux kernel internals, including process scheduling, memory management, and file systems. Strong experience with device driver development for storage, networking, or custom hardware. RDMA and Networking: Hands-on experience with RDMA technologies (e.g., RoCE, InfiniBand, iWARP) and related APIs like libibverbs. Expertise in kernel networking subsystems and TCP/IP stack. Problem-Solving Skills: Excellent debugging skills using tools like gdb, ftrace, and perf. Experience in diagnosing kernel panics, oopses, and race conditions. Familiarity with Git for version control and patch submission workflows. Preferred Skills: Familiarity with virtualization technologies (e.g., KVM, Xen). Knowledge of PCIe, DMA, and interrupt handling. Experience with performance benchmarking and tuning for real-time systems. Exposure to tools like Valgrind, SystemTap, and ebpf for kernel tracing.

Job Title: Senior developer - Artificial Intelligence & Machine Learning Location: Chennai / Bangalore / Pune (Hybrid model - 2 days working from office) Role Summary We are seeking a skilled and hands-on Senior Artificial Intelligence & Machine Learning (AI/ML) Engineer to build and productionize AI solutionsincluding fine-tuning large language models (LLMs), implementing Retrieval-Augmented Generation (RAG) workflows, multi-agent applications and MLOps pipelines. This role focuses on individual technical contribution and requires close collaboration with solution architects, AIML leads, and fellow engineers to translate business use cases into scalable, secure, cloud-native AI services. The ideal candidate will bring deep technical expertise across the AI/ML lifecyclefrom prototyping to deploymentwhile contributing to a culture of engineering excellence through peer reviews, documentation, and platform innovation. They will play a critical role in delivering robust, high-performance AI systems in partnership with the broader AI/ML team. Key Responsibilities Model Development & Optimization Fine-tune foundation models (e.g., GPT-4, Llama 3). Implement prompt engineering and basic parameter-efficient tuning (e.g., LoRA). Conduct model evaluation for quality, bias, and hallucination; analyze results and suggest improvements. RAG & Agentic Systems (Exposure, Not Ownership) Assist in building RAG pipelines: Participate in integrating and embedding generation, vector stores (e.g., FAISS, pgvector), and retrieval/ranking components. Work with multi-agent frameworks (e.g., LangChain, Crew AI) Production Engineering / MLOps Contribute to CI/CD pipelines for model training and deployment (e.g., GitHub Actions, SageMaker Pipelines). Help automate monitoring for latency, drift, and cost; assist in lineage tracking (e.g., MLflow). Containerize services with Docker and assist in orchestration (e.g., Kubernetes/EKS/GKE) Data & Feature Engineering Build and maintain data pipelines for collection, cleansing, and feature generation (e.g., Airflow, Spark). Implement basic data versioning and assist with synthetic data generation as needed Code Quality & Collaboration Participate in design and code reviews. Contribute to testing (unit, integration, guardrail/hallucination tests) and documentation. Share knowledge through sample notebooks and internal sessions Security, Compliance, Performance Follow secure coding and Responsible AI guidelines. Assist in optimizing inference throughput and cost (e.g., quantization, batching) under guidance. Ensure SLAs are met and contribute to system auditability Technology Stack Programming Languages & Frameworks Python (expert) JavaScript/Go/TypeScript (nice-to-have) Strong knowledge of libraries such as Scikit-learn, Pandas, NumPy, XGBoost, LightGBM, TensorFlow, PyTorch. PyTorch, TensorFlow/Keras, Hugging Face Transformers/PEFT, LangChain/LlamaIndex, Ray/PyTorch Lightning, FastAPI/Flask Experience working with RESTful APIs, authentication (OAuth, API keys), and pagination Cloud & DevOps Expertise in one or more cloud vendors like AWS, GCP, Azure Containers (Docker), Orchestration (Kubernetes, EKS/GKE/AKS) MLOps Databases Relational: PostgreSQL, MySQL NoSQL: MongoDB / DynamoDB Vector Stores: FAISS / pgvector / Pinecone / OpenSearch / Milvus / Weaviate RAG Components Document loaders/parsers, text splitters (recursive/semantic), embeddings (OpenAI, Cohere, Vertex AI), hybrid/BM25 retrievers, rerankers (Cross-Encoder) Multi-Agent Frameworks Crew AI / AutoGen / LangGraph / MetaGPT / Haystack Agents, planning & tool-use patterns Testing & Quality Unit/integration testing (pytest), guardrails Qualifications: 1012 years of experience in software engineering/data science, with 4+ years leading AI/ML projects end-to-end. Bachelors or Masters in Computer Science, Artificial Intelligence, Data Science, or related field. Certifications preferred: AWS Certified Machine Learning / Google Professional Machine Learning Engineer / Azure AI Engineer Associate and Kubernetes CKA/CKAD. Experience in regulated industries (Fintech, Healthcare, eCommerce) is a plus. Soft Skills & Leadership Attributes Influential communication: Translate complex ML concepts for non-technical stakeholders; strong presentation & storytelling. Mentorship mindset: Coach, upskill, and inspire cross-functional teams; foster psychological safety. Ownership & bias for action: Deliver POCs, iterate based on feedback, drive solutions to production. Critical thinking & experimentation: Data-driven decision making, hypothesis testing, A/B experimentation. Adaptability: Stay current with rapid advances in GenAI, tooling, and research; evaluate emerging models/services.

Responsibilities Design, write and deliver highly scalable, reliable and fault tolerant systems with minimal guidance. Participate in code and design reviews to maintain our high development standards Partner with the product management team to define and execute the feature roadmap Translate business requirements into scalable and extensible design Proactively manage stakeholder communication related to deliverables, risks, changes and dependencies Coordinate with cross functional teams (Mobile, DevOps, Data, UX, QA etc.) on planning and execution Continuously improve code quality, product execution, and customer delight Willingness to learn new languages and methodologies An enormous sense of ownership Engage in service capacity and demand planning, software performance analysis, tuning and optimization Education Degree in Computer Science or equivalent with 5+ years of experience in commercial software development in large distributed systems Experience Hands-on experience in designing, developing, testing and deploying applications on Golang, Ruby,Python, .Net Core or Java for large scale applications Deep knowledge of Linux as a production environment Strong knowledge of data structures, algorithms, distributed systems, and asynchronous architectures Expert in at least 1 of the following languages: Golang, Python, Ruby, Java, C, C++ Proficient in OOP, including design patterns. Ability to design and implement low latency RESTful services Hands-on coder who has built backend services that handle high volume traffic. Strong understanding of system performance and scaling Possess excellent communication, sharp analytical abilities with proven design skills, able to think critically of the current system in terms of growth and stability Data modeling experience in both Relational and NoSQL databases Continuously refactor applications to ensure high-quality design Ability to plan, prioritize, estimate and execute releases with good degree of predictability Ability to scope, review and refine user stories for technical completeness and to alleviate dependency risks Passion for learning new things, solving challenging problems Ability to get stuff done! Nice to have Familiarity with Golang ecosystem Familiarity with running web services at scale; understanding of systems internals and networking are a plus Be familiar with HTTP/HTTPS communication protocols. Abilities and Traits Ability to work under pressure and meet deadlines Ability to provide exceptional attention to details of the product. Ability to focus for extended periods of repetitious activity. Ability to think ahead and anticipate problems, issues and solutions Work well as a team player and help the team members to resolve issues Be committed to quality and be structured in approach Excellent and demonstrable concept formulation, logical and analytical skills Excellent planning, organizational, and prioritization skills

We are looking for a highly skilled Embedded Software Developer with a strong background in C programming and a passion for developing robust and efficient embedded systems. The ideal candidate should be able to quickly grasp and implement complex state machines while demonstrating expertise in multi-threaded architectures . If you are someone who thrives in fast-paced environments and enjoys solving real-world embedded challenges, we would love to hear from you! Key Responsibilities: Design, develop, and optimize embedded software solutions in C . Implement and debug complex state machines efficiently. Architect and develop software for multi-threaded environments. Work closely with cross-functional teams to ensure seamless hardware-software integration. Participate in system design discussions, performance tuning, and code reviews. Debug and troubleshoot issues in embedded systems, ensuring high performance and reliability. Maintain detailed documentation of software design, implementation, and testing. Required Qualifications & Skills: Bachelors or Master’s degree in Computer Science, Electronics, Electrical Engineering, or a related field. 4-8 years of hands-on experience in embedded software development. Strong proficiency in C programming and deep understanding of embedded systems. Experience with real-time operating systems (RTOS), multi-threading, and concurrency management . Hands-on experience in analyzing, designing, and debugging complex state machines . Strong knowledge of inter-process communication, memory management, and synchronization mechanisms . Excellent problem-solving skills, attention to detail, and a keen analytical mindset. Good to Have (Bonus Skills): Experience working in financial technology (FinTech) or payment processing domains . Exposure to low-level hardware interactions, device drivers, and firmware development . Exposure to PCI-DSS compliance and secure coding practices . Knowledge of middleware development for embedded platforms. Proficiency in using embedded debugging tools such as GDB, JTAG, oscilloscopes, and logic analyzers .

We are seeking a talented and self-driven Full Stack Developer with strong expertise in Angular, .NET, and SQL to join our dynamic team. The ideal candidate will be responsible for designing, developing, and maintaining high-quality web applications from end to end. Key Responsibilities: Develop and maintain scalable web applications using Angular for the frontend and .NET for the backend. Collaborate with UI/UX designers, product managers, and other developers to build responsive and user-friendly interfaces. Design and manage relational databases using SQL Server. Write clean, maintainable, and efficient code following best practices. Troubleshoot, debug, and upgrade existing systems. Participate in code reviews and technical discussions. Ensure the technical feasibility of UI/UX designs. Optimize applications for maximum performance and scalability. Technical Skills Required: Frontend: Strong experience with Angular 2+ HTML5, CSS3, JavaScript, TypeScript Responsive design principles and frameworks (e.g., Material, Bootstrap) Backend: Proficiency in .NET Core / .NET Framework Experience with C#, RESTful APIs, and Web APIs Solid understanding of object-oriented programming and design patterns Database: Strong hands-on experience with SQL Server Writing complex queries, stored procedures, indexing, and performance tuning Cloud Proficiency: Experience with CI/CD tools (Azure DevOps, Jenkins, etc.) Familiarity with cloud platforms like Azure or AWS Unit testing and integration testing frameworks

We are looking for an experienced Senior Networking Developer with expertise in developing and optimizing networking systems and protocol stacks. This role involves designing, implementing, and troubleshooting high-performance network solutions at the system and protocol level. Required Skills and Qualifications Technical Expertise: Experience in networking protocol or system-level development. Strong proficiency in C or C++ for low-level systems programming. In-depth knowledge of networking protocols, including L2/L3 protocols (e.g., Ethernet, ARP, IP, ICMP) and L4 protocols (e.g., TCP, UDP). Familiarity with advanced networking concepts such as QoS, load balancing, and multicast. System-Level Knowledge: Experience working with Linux networking subsystems (e.g., netfilter, iptables, eBPF). Hands-on experience with kernel-level networking stack development and optimization. Debugging and Analysis: Proficiency in network diagnostics tools (e.g., Wireshark, tcpdump, strace, gdb). Ability to troubleshoot issues at all layers of the OSI model. Preferred Skills Experience with high-performance networking technologies Experience with programmable network devices Experience with SDN controllers and related protocols like OpenFlow.

Must be a well-rounded full stack developer with at least 3 years of experience developing enterprise applications. You have a successful track record that demonstrates your ability to work in teams and deliver projects on time in a dynamic and agile environment. Knowledge and Skills Required Good development experience in Java Programming with Spring framework. Good development experience in Angular and Javascript. Experience in building APIs over HTTP. Experience in using development tools like Eclipse. Ability to learn new technologies quickly Strong understanding of product development life cycle Able to understand and translate Specification/Requirement into design and then to implementation Knowledge in Application Servers and Databases Knowledge and Experience on TDD Good communication skills oral, written and presentation Good experience in unit testing and test cases development for Unit, Integration, System levels. People skills - ability to work in a team, result oriented mindset.

Aziro is looking for Senior / Lead File System developer Position: Senior Filesystem Developer (NFS, SMB) We are seeking a highly skilled Senior Filesystem Developer with extensive experience in developing, optimizing, and maintaining filesystem protocols such as NFS (Network File System) and SMB (Server Message Block). The ideal candidate will work on creating efficient and robust distributed storage solutions, improving filesystem performance. Required Skills and Qualifications Technical Expertise: Experience in filesystem development or protocol-level programming. Proficiency in C programming, with an understanding of kernel-level and user-space interactions. Deep knowledge of NFS (v3/v4) and SMB/CIFS protocols, including their implementation and behavior. System-Level Knowledge: Experience with kernel-level filesystems and Virtual File System (VFS) layer. Familiarity with distributed storage systems and clustered filesystem architectures. Networking and Protocols: Strong understanding of network protocols such as TCP/IP, RPC, and DNS as they pertain to file sharing systems. Hands-on experience debugging network and protocol-level issues. Debugging and Troubleshooting: Expertise with diagnostic tools like tcpdump, Wireshark, perf, and ftrace. Strong analytical skills for identifying and resolving filesystem-related bugs and performance issues. Preferred Skills Experience with distributed and parallel filesystems. Knowledge of cloud-based file storage solutions. Knowledge of encryption and security standards for file storage.

Responsibilities: Understand the business purpose of user stories and define and analyze possible alternative ways of satisfying the business purpose of the story Plan and estimate development tasks with other developers that are required to fulfill the story Work with the Product Owner and other team members to clarify and further define the details of how the story should be implemented Provide guidance to other developers as necessary who are engaged in development tasks associated with the story including working with developers to design algorithms and flowcharts Translate of UI/UX wireframes to visual elements & implement robust set of services and API Build reusable code and libraries for future use Optimize the application for maximum speed and scalability Integrate software components and third-party programs Develop & maintain unit and integration tests Produce software that support UI automation Verify and deploy programs and systems Recommend and execute improvements Create technical documentation for reference and reporting Take the overall responsibility for shepherding the story through the process all the way to (and including) UAT - lead the presentation of the completed story to the Product Owner in the Sprint Review Mandatory Skills: Good experience in web applications development Application Development using React, Node JS, Java script, Typescript Unit & Integration Tests using Vitest Familiarity with Agile development methodologies Highly preferred skills Experience with Three.js library Azure Functions Ability to learn new languages and technologies Knowledge in UI automation for React Web apps Storybook implementation Education and Experience Atleast 6 yrs of experience. B.E /B.Tech ( Computer Science)

We are seeking a talented and self-driven Full Stack Developer (MEAN) with strong expertise in Angular and Node, with min 8 yrs who is ready to join our dynamic team. The ideal candidate will be responsible for designing, developing, and maintaining high-quality web applications from end to end. Key Responsibilities: Develop and maintain scalable web applications using Angular for the frontend and NodeJs for the backend. Collaborate with UI/UX designers, product managers, and other developers to build responsive and user-friendly interfaces. Design and manage relational databases using SQL Server. Write clean, maintainable, and efficient code following best practices. Troubleshoot, debug, and upgrade existing systems. Participate in code reviews and technical discussions. Ensure the technical feasibility of UI/UX designs. Optimize applications for maximum performance and scalability. Technical Skills Required: Frontend: Strong experience with Angular 2+ HTML5, CSS3, JavaScript, TypeScript Responsive design principles and frameworks (e.g., Material, Bootstrap) Backend: Proficiency in NodeJs, Node Framework (like Express) RESTful APIs, and Web APIs Solid understanding of object-oriented programming and design patterns Database: Strong hands-on experience with SQL Server (Mongo DB, ElasticSearch will be the added advantage) Writing complex queries, stored procedures, indexing, and performance tuning.

Job Summary: We are looking for a proactive and technically fluent Technical Recruiter to support hiring across cutting-edge domains including AI/ML, Robotics, IoT, Cloud, and Engineering Services . The ideal candidate will have experience sourcing top-tier engineering talent and a strong understanding of technical concepts to engage effectively with candidates and hiring managers. Key Responsibilities: Partner with hiring managers to understand technical role requirements. Source and screen candidates across platforms like Dice, Monster , LinkedIn, GitHub, and Stack Overflow. Evaluate resumes and portfolios for relevance in domains such as ML, Cloud, and Embedded Systems. Conduct technical pre-screens and coordinate interviews. Maintain and track pipeline progress using ATS and CRM tools. Stay updated with industry trends (e.g., Generative AI, Digital Twins, Industry 4.0). Qualifications: 3 to 7 years of experience in technical recruiting or technical sourcing. Familiarity with technologies such as Python, TensorFlow, ROS, AWS/Azure/GCP, .NET. (High level knowledge) Strong communication and stakeholder management skills. Experience using Boolean search, sourcing tools , passive sourcing tools.

Key Responsibilities Database Administration & Management Install, configure, and maintain MS-SQL Server databases (2014 and higher versions) in both standalone and failover cluster environments Implement and maintain database security, roles, and access controls to ensure compliance and data protection. Execute database backups and restores according to established schedules and recovery requirements Plan and execute SQL Server cummulative and service pack upgrades with minimal downtime impact High Availability & Disaster Recovery Configure and maintain Log Shipping for database redundancy and disaster recovery Implement and manage SQL Server Replication across multiple environments Develop and maintain robust Disaster Recovery processes and procedures Ensure business continuity through effective failover cluster management Support Monthly OS Patching activities and coordinate with Windows team Monitoring Solutions Utilize monitoring tools including LogicMonitor and SolarWinds DPA for proactive database performance monitoring Implement database monitoring strategies and performance tuning to optimize system efficiency Work with ITSM management tools like Wolken for ticket and incident management Performance & Optimization Conduct regular database performance tuning and optimization activities Monitor database health, identify bottlenecks, and implement corrective measures Analyze query performance and recommend improvements for optimal database efficiency Compliance & Documentation Participate in quarterly and yearly auditing processes to ensure regulatory compliance Create and maintain comprehensive system documentation, database runbooks, and compliance audit materials aligned with industry best practices Develop Standard Operating Procedures (SOPs) for new issues and their resolutions Customer Support & Issue Resolution Manage and resolve customer complaints related to database performance and availability Research, identify, and resolve database-related issues Route calls and tickets to appropriate resources and domains for optimal support Identify and escalate critical issues to supervisors when necessary Provide technical support and guidance to end-users and development teams Good to have AWS Services like RDS, S3, Cloudwatch, EC2, VPC, Security groups

Job Description: We are looking for a skilled QA Engineer with 58 years of experience in manual and automation testing to ensure the highest quality of our web, mobile, and API-based applications. A strong understanding of Playwright , Selenium , and API testing (REST & GraphQL) is required. Candidates with experience in eCommerce domain and strong collaboration skills are preferred. Key Responsibilities: Collaborate with developers, product managers, and business teams to define test requirements. Perform manual and automation testing of web, mobile, and API services. Design and execute test cases for RESTful and GraphQL APIs. Develop automation test scripts using Playwright , Selenium in JavaScript or Java. Track and report bugs using JIRA . Maintain detailed test documentation and quality metrics. Suggest and implement process improvements to enhance testing efficiency. Required Skills: 5+ years of QA experience (manual + automation). Strong functional testing knowledge. Experience with Playwright (preferred) or other automation tools like Selenium. Good scripting skills in JavaScript or Java . API Testing experience with tools like Postman . Experience in writing test plans, test reports, and documenting security vulnerabilities & coverage metrics. Familiarity with version control systems like Git . Exposure to eCommerce domain is a plus. Tools & Platforms: Automation: Playwright , Selenium API Testing: Postman Bug Tracking: JIRA VCS: Git

Job Title: Chief Architect / Principal Architect - AI & Digital Solutions (Leadership Role Pre-sales) Location: Chennai / Pune / Noida / Bangalore / Hyderabad About the Role: We are seeking a visionary Chief Architect / Principal Architect with a strong leadership focus, who brings deep expertise in AI, Cloud, and Enterprise Architecture combined with a strategic mindset for pre-sales and solution consulting . This dual-role position is perfect for a seasoned technologist who thrives at the intersection of AI/ML, Agentic AI, RAG, MLOps, Data Engineering, Cloud Architecture , and digital transformation consulting . You will not only define the strategic vision and architecture of next-generation platforms but also lead and scale pre-sales engagementscrafting compelling solutions, engaging with customers, and converting opportunities into tangible outcomes. Key Responsibilities: Lead the architecture and design of AI-driven platforms, Agentic AI solutions, and cloud-native enterprise applications . Architect and oversee the development of scalable LLM-based chatbot solutions, Knowledge Management AI systems, and RAG pipelines . Design secure and efficient cloud architectures with deep expertise in Azure, AWS, or GCP . Drive innovation through hands-on prototyping, PoCs, and feasibility analysis of Generative AI models, multi-LLM integration, and LangGraph workflows . Collaborate with cross-functional teams, including Product, Data Science, DevOps, and Engineering , to align AI solutions with business goals. Provide technical leadership in IT strategy for startups , advising on AI adoption, cloud transformation , and scalable product architectures . Lead and manage the pre-sales team for digital transformation projects , working closely with sales, marketing, and delivery teams to create customized solutions, present proposals, build client trust, and accelerate business growth. Respond to RFPs, create reusable solution accelerators, and design end-to-end architectures for client demos and strategic pursuits. Participate in client workshops, understand pain points, and translate business needs into actionable technical roadmaps. Head the Architecture practice and provide executive leadership , establishing frameworks, best practices, and governance for enterprise-wide technology strategy. Key Qualifications: 15+ years of experience in software architecture, cloud computing, and AI/ML-driven solutions . Strong background in DevOps, CI/CD , and cloud-native architectures (Azure, AWS, GCP) . Experience in designing and deploying secure, scalable, and cost-optimized data platforms . Deep knowledge of enterprise AI solutions, chatbot development, and AI-powered process automation . Strong leadership and communication skills, with a track record of mentoring teams and driving architectural excellence. Experience working with startups or innovation labs to build and scale AI-driven products. Extensive experience in product development across B2C and B2B domains ; experience in the Payment Domain will be a plus. Proven success in cloud migration, modernization initiatives , and building secure authentication flows using OAuth2, SAML2 , and social logins . Expertise in integrating complex systems using ETL pipelines, Queuing solutions , and Enterprise Integration products . Demonstrated ability to balance strategic oversight with hands-on technical execution . Why Join Us? Competitive Compensation: We offer industry-leading salaries that reflect your expertise and contributions. Dynamic Work Culture: Experience a flat organizational structure with flexible work arrangements, including remote work options, fostering autonomy and collaboration. Professional Development: Benefit from sponsored training, attendance at industry events, and educational conferences to enhance your skills and stay ahead in AI and cloud technologies. Wellness Programs: Participate in initiatives designed to support your physical and mental well-being, ensuring a balanced work-life experience. Inclusive Environment: Join a team that values diversity and provides equal opportunities for all employees, fostering a culture of innovation and respect. Corporate Social Responsibility: Engage in meaningful projects that give back to the community, such as collaborations with esteemed organizations. Empowerment Initiatives: Take advantage of programs supporting professionals resuming their careers with flexible work options. Be part of a proven leadership team that champions code quality, design congruence, and innovation , helping you grow in both technical and leadership dimensions . At Aziro Technologies, we are committed to fostering an environment where innovation thrives, and employees are empowered to excel in their careers. If you are a hands-on architect who thrives in AI, cloud, and enterprise transformation, and want to climb the leadership ladder , wed love to connect!

Key Responsibilities - Develop, maintain, and enhance web applications using Angular (version 14+). Write clean, efficient, and scalable code using TypeScript and JavaScript. Collaborate with UI/UX designers to implement responsive and visually appealing user interfaces. Integrate RESTful APIs and manage application state using RxJS and NgRx. Optimize application performance and ensure cross-browser compatibility. Troubleshoot and resolve technical issues efficiently. Implement and maintain unit testing using Jasmine and Karma. Work with Jenkins for CI/CD automation and deployment. Work in an agile development environment and participate in code reviews. Required Skills - Strong experience with Angular (versions 14+). Proficiency in JavaScript (ES6+) and TypeScript. Experience with HTML5, CSS3, and SCSS/SASS. Knowledge of RxJS, NgRx, or other state management libraries. Familiarity with RESTful APIs and asynchronous programming. Experience with Jasmine, Karma for unit testing. Understanding of Agile methodologies and CI/CD practices. Experience with Jenkins for automation and continuous integration. Strong problem-solving skills and attention to detail. Excellent communication and teamwork abilities. Preferred Skills (Nice to Have. Not mandatory) - Familiarity with Java, REST APIs for backend integration. Familiarity with Tridion CMS for content management. Knowledge of Okta for authentication and identity management. Experience with AWS cloud services for deployment and scaling.