ResponsibilitiesWork schedule/shift: 3pm to midnight Operations tasks including supporting infrastructure for on-premises and cloud deployments. Problem solver, capable of identifying and resolving issues, and able to see the big picture. Eager and willing to learn new technologies and skills. Perform operational tasks including, but not limited to, SW/HW installations, upgrades, and more. Configuration of servers, networking equipment, and cloud resources. Creation and integration of tools for internal and/or external consumption. Troubleshoot, design, and deploy advanced L2 and L3 networks. Track issues through to resolution. Prioritize and manage several open tasks at one time. Escalate issues to the next level, as needed. Build and maintain strong relationships with customers. Participate in training courses, as required. Document processes and update knowledge base. Work closely with senior members of the Support, Operations, DevOps, and Engineering teams. Configure, maintain, and optimize servers, networks, and storage systems across hybrid environments. Perform software and hardware installations, upgrades, and patches to ensure system reliability and security. Troubleshoot and resolve infrastructure and network issues to minimize downtime and improve performance. Design, implement, and scale advanced networks, supporting business-critical workloads. Develop and automate tools and scripts that improve efficiency, monitoring, and system resilience. Partner with cross-functional teams to ensure seamless infrastructure support and service delivery. Contribute to a culture of continuous improvement, proactively identifying opportunities for enhancement. Qualification & Experience4+ years of experience in administration, configuration, and tuning of L2 and L3 network equipment configuration (Cisco switches, Fortigate Firewalls, Exterm Switches, etc.) Certification or equivalent hands-on experience: CCNA, CompTIA Network+, or CCNP. Fair Knowledge of storage technologies and protocols (RAID, NFS, SMB, iSCSI, FC). Deep understanding of L3 networking including BGP, iBGP, routing protocols, VPC, VNets, SD-WAN, and cloud networking architectures. Experience in troubleshooting, designing, and implementing network solutions. Experience in administration, configuration, and tuning of Linux systems (Ubuntu/Debian and/orCentOS/RHEL) Hands-on experience with remote hardware access and installation. Fluent in English (spoken and written). Must live in commuting distance to the Zadara office. Nice to have Experience with cloud services (AWS, Azure, GCP).Experience with VMware Administration. Experience with Data Center Administration. Hands-on experience in OpenStack (managing and troubleshooting). Experience with configuration management systems (Ansible, Chef, Puppet). Experience with iptables in Linux and network-level ACLs. Excellent team player. Your education Bachelor’s Degree in Information Science/Information Technology, Data Science, Computer Science or a related field.

ResponsibilitiesDesign and implement robust features for the Object Storage engine, ensuring seamless S3 API compatibility and high-performance data management. Build and optimize distributed algorithms for data placement, replication, and erasure coding, ensuring the platform scales linearly to meet the demands of global edge deployments.Develop multi-threaded, asynchronous backend services capable of handling intense concurrent I/O and massive request rates.Optimize software to maximize IOPs and throughput on edge-native hardware, ensuring efficient CPU and memory utilization across the cluster.Lead Root Cause Analysis (RCA) for complex distributed system failures and performance regressions, providing architectural solutions that improve long-term resilience.Partner with distributed engineering teams across different time zones to ensure a unified architectural vision and synchronized release cycles for the Zadara Edge Cloud.Collaborate closely with QA and Automation teams to design comprehensive test plans, focusing on deep-dive system validation for complex storage scenarios.Stay up-to-date with the latest industry trends and technologies related to cloud computing.Qualification & Experience3+ years of experience Strong C, C++ or Golang programing skills Excellent understanding of Linux/Unix platform and the concepts Strong verbal and written communication skills High motivation to work in dynamic and innovative startup Bachelor's degree in computer science

Responsibilities• Good/Basic understanding of full stack development (Python/ MERN stack) and cloud technologies such as Azure and AWS. (important) • DevOPS on cloud and good experience in using services such as Git, Terraform and others. • Develop, test, and deploy AI models using state-of-the-art LLMs, Hugging face LLMs and others and libraries such as Llama index, and Lang chain. • Create custom AI models to address unique challenges and improve existing processes. • Optimize and fine-tune AI models for performance, accuracy, and scalability. • Apply knowledge of Retrieval-Augmented Generation (RAG) and related methodologies to develop sophisticated AI solutions. • Collaborate with cross-functional teams to understand requirements and deliver AI-powered features and enhancements. • Stay abreast of the latest developments in AI, machine learning, and related fields to innovate and improve our offerings continuously. Qualification & Experience• Bachelor's degree or higher in Computer Science, Engineering, or related field. • 4 - 8 years of experience in AI development, with a strong focus on generative models, NLP, and image processing. • Proficient in Python and other programming languages for AI development. • Solid understanding of machine learning concepts, data processing, feature extraction, text summarization, and image processing techniques • Familiarity with Retrieval-Augmented Generation (RAG) and other cutting-edge AI processes. • Proven experience with OpenAI models, including but not limited to GPT (Generative Pre-trained Transformer), and the ability to develop custom models. • Experience in working with large-scale datasets and cloud platforms. • Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment. • Strong communication skills and the ability to work collaboratively with a diverse team.

ResponsibilitiesArchitect and deliver enterprise Salesforce solutions across Data Cloud, Health Cloud, CRM, and Life Sciences Cloud for global life sciences clients.Own end-to-end technical architecture—data models, integrations, security, performance, and scalability.Translate complex business needs into robust, compliant Salesforce architectures.Design and govern integrations with external systems using APIs, middleware, and event-driven patterns.Define technical standards and best practices and ensure high-quality delivery.Mentor development teams and lead architecture and design reviews.Partner with business, delivery, and leadership teams; support solutioning and pre-sales when needed.Qualification & Experience5+ years of Salesforce experience, including experience as a Technical Architect on large-scale implementations. Strong hands-on expertise in Agentforce Salesforce Health Cloud, CRM, and Life Sciences Cloud. Solid understanding of pharma / life sciences domain and regulated environments. Deep knowledge of Salesforce architecture, integrations, data modeling, security, and performance. Hands-on experience with Apex, LWC, Flows, and platform automation. Experience leading technical teams and mentoring developers. Salesforce Architect-level certifications preferred. Strong communication and stakeholder management skills.

ResponsibilitiesDesign, develop, and maintain scalable ETL/ELT pipelines using Databricks and cloud platforms (AWS/Azure). Implement data transformation logic, validation rules, and data quality checks to ensure accuracy, consistency, and reliability of datasets. Develop and manage data models, schemas, and data warehouse structures to enable seamless data consumption for analytics and reporting. Monitor, troubleshoot, and continuously optimize data pipelines for performance, scalability, reliability, and cost efficiency in cloud environments. Ensure adherence to data governance, security, and compliance standards across all data processing and storage layers. Collaborate closely with cross-functional teams to deliver scalable, high-quality, and business-aligned data solutions. Qualification & ExperienceMinimum 2-4 years of experience in a Data Engineering role with a B.Tech/BE or equivalent technical background. Strong programming skills in Python and SQL with experience in building and optimizing data pipelines. Hands-on experience building ETL/ELT pipelines and cloud data services (Azure or AWS). Experience working with Databricks or similar distributed data processing frameworks (e.g., AWS Glue). Familiarity with workflow orchestration tools like Airflow and version control systems such as Git. Experience handling large datasets, implementing data quality checks, and understanding data ingestion, storage, and consumption architectures. Good understanding of data quality, monitoring, and basic DevOps/DataOps practices, along with strong problem-solving and communication skills.

Qualification & ExperienceEligibility: Any graduate/Post graduate in Computer Science, IT, or related field Skills: Experience in developing custom Shopify apps or private/public plugins using Node.js or PHP, strong knowledge of Shopify Admin and Storefront APIs, Webhooks, REST & GraphQL, experience with Shopify OAuth authentication, database design and integration,and troubleshooting Shopify backend workflows. Experience: 2 Years to 3 Years

Qualification & Experience             Eligibility: Any Graduate            Skills: HTML5, CSS3, Responsive Designs, JQuery/javascript                Experience: 2-3 Years     

Qualification & Experience                                                    Eligibility: MCA / B.Tech / BCA                                Experience: Should have atleast 1 year experience in Manual Testing.                        

Responsibilities  Platform Development & Ownership Develop and maintain enterprise web platforms using Next.js and TypeScript Build and manage content models in Strapi (Headless CMS) Create reusable UI components aligned with centralized design systems Ensure performance, accessibility, SEO, and security best practices  Full Stack Engineering Design and develop front end, APIs and backend data objects Integrate with enterprise systems and third-party tools Contribute to CI/CD pipelines using GitHub workflows Support deployment, monitoring, and troubleshooting  Agile Delivery Participate in sprint planning, backlog refinement, and retrospectives Deliver features in iterative cycles Collaborate with design, infra, security, and business stakeholders  AI-Assisted Engineering Use Agentic AI tools to accelerate: Code generation and scaffolding Test case creation Refactoring and documentation Rapid POC development Continuously improve engineering productivity using automation  Future Digital Initiatives Support development of internal web applications Contribute to data visualization / BI integrations Participate in future mobile and API-based projects Experience4-6 years

Responsibilities P&L Ownership  Asset Management - to preserve or enhance project profitability and returns  Financial Modelling, Analysis  AOP Planning - to preserve business plan  Day to day management of the site.  Execution of project as per Business Plan Risk Management  Flagging & resolving risks to project returns during Pre-Construction Phase & Under Construction stage  To evaluate and provide mitigation mechanism and proactively highlighting critical risks and proposing recommendation/options to the management for way forward. People  Defines and sets work objectives/Goals for team members in line with the AOP  Reviews tasks completed by team members and conduct regular performance reviews  Completes performance appraisals & people related processes of team  Carries out team building & engagement activities Process Adherence & Improvement  Identifies processes/procedures in own work area that need improvement  Recommends process improvement ideas to streamline efficiency/costs/productivity Undertakes process improvement activities in own work area  Complies with company defined guidelines and processes  Adheres to project timelines.Experience7 to 10 years