Looking for a highly motivated, self-driven AI Experienced Data Scientist for building differentiating solutions and for implementing AI and Generative AI (Gen AI) based solutions for customer's business problems.As an AI Solution Engineer, build AI and Gen AI empowered practical in-depth solutions for solving customer’s business problems.As an AI and Data Solution Engineer, design and implement Cloud Data, AI, and Gen AI based solutions, including LLM-powered systems, for customer programs.Apply statistics, modeling, LLMs, and machine learning to improve the efficiency of systems and relevance algorithms across our business application products. RequirementsBachelor’s degree or master’s degree in computer science / AIML / Data Science.4 to 6 years of overall experience and hands-on experience with the design and implementation of Machine Learning models, Deep Learning models, and Gen AI models (e.g., GPT, LLaMA, Mistral) for solving business problems.Proven experience working with Generative AI technologies, including prompt engineering, fine-tuning large language models (LLMs), embeddings, vector databases (e.g., FAISS, Pinecone), and Retrieval-Augmented Generation (RAG) systems.Expertise in R, Python (NumPy, Scikit-learn, Pandas), TensorFlow, PyTorch, transformers (e.g., Hugging Face), or MLlib.Expertise in cloud-based data and AI solution design and implementation using GCP / AWS / Azure, including the use of their Gen AI services.Good experience in building complex and scalable ML and Gen AI solutions and deploying them into production environments.Experience with scripting in SQL, extracting large datasets, and designing ETL flows.Excellent problem-solving and analytical skills with the ability to translate business requirements into data science and Gen AI solutions.Effective communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholder s.

Looking for a highly motivated, self-driven AI Experienced Data Scientist for building differentiating solutions and for implementing AI and Generative AI (Gen AI) based solutions for customers business problems. As an AI Solution Engineer , build AI and Gen AI empowered practical in-depth solutions for solving customerbusiness problems. As an AI and Data Solution Engineer , design and implement Cloud Data, AI, and Gen AI based solutions , including LLM-powered systems, for customer programs. Apply statistics, modeling, LLMs , and machine learning to improve the efficiency of systems and relevance algorithms across our business application products. Requirements Bachelordegree or Masterdegree in Computer Science / AIML / Data Science. 4 to 6 years of overall experience and hands-on experience with the design and implementation of Machine Learning models, Deep Learning models, and Gen AI models (e.g., GPT, LLaMA, Mistral) for solving business problems. Proven experience working with Generative AI technologies , including prompt engineering, fine-tuning large language models (LLMs), embeddings, vector databases (e.g., FAISS, Pinecone), and Retrieval-Augmented Generation (RAG) systems. Expertise in R, Python (NumPy, Scikit-learn, Pandas), TensorFlow, PyTorch, transformers (e.g., Hugging Face) , or MLlib. Expertise in cloud-based data and AI solution design and implementation using GCP / AWS / Azure , including the use of their Gen AI services. Good experience in building complex and scalable ML and Gen AI solutions and deploying them into production environments. Experience with scripting in SQL, extracting large datasets, and designing ETL flows. Excellent problem-solving and analytical skills with the ability to translate business requirements into data science and Gen AI solutions. Effective communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.

We are seeking a highly skilled and customer-focused Technical Support Engineer to join our team. This role is responsible for delivering high-quality technical support to our customers to troubleshoot complex technical issues and collaborating with cross-functional teams to ensure customer success. Technical Support Engineer is expected to provide advanced technical support on Data based Software Product to a global client base and partners. This role requires deep technical expertise , strong problem-solving skills, and the ability to communicate complex technical information effectively. The primary responsibility is to troubleshoot and resolve technical issues, support product adoption, and ensure customer satisfaction. TSE must have experience working with databases, specifically graph databases, and possess a strong background in Linux, networking, and scripting (bash/python). They work collaboratively with engineering teams to escalate and resolve complex issues when necessary (i.e. code change required , first time seeing a behavior ). Roles and Responsibilities Respond to customer inquiries and provide in-depth technical support via multiple communication channels. Collaborate with core engineering and solution engineering teams to diagnose and resolve complex technical problems. Create and maintain public , internal knowledge base articles, and FAQs. documentation Monitoring and meeting SLAs. Timely triage varying issues based on error messages, log files, threads dumps, stack traces, sample code, and other available data points. Efficiently troubleshoot cluster issues across multiple servers, data centers , and regions, in a variety of clouds (AWS, Azure, GCP, etc), virtual, and bare metal environments. Candidate to work during EMEA time zone (2PM to 10 PM shift) Requirements Must Have Skills Education: B.Tech in computer engineering , Information Technology, or related field. Experience: GraphDB experience is must 5+ years of experience in a Technical Support Role p on Data based Software Product at least L3 level . Linux Expertise: 4 + years with in-depth understanding of Linux, including filesystem, process management, memory management, networking, and security. Graph Databases: 3 + years of experience with Neo4j, or similar graph database systems. SQL Expertise: 3+ years of experience in SQL for database querying, performance tuning, and debugging. Data Streaming & Processing: 2+ years hands-on experience with Kafka, Zookeeper, and Spark. Scripting & Automation: 2+ years with strong skills in Bash scripting and Python for automation, task management, and issue resolution. Containerization & Orchestration: 1+ year p roficiency in Docker, Kubernetes, or other containerization technologies is essential. Monitoring & Performance Tools: Experience with Grafana, Datadog, Prometheus, or similar tools for system and performance monitoring. Networking & Load Balancing: Proficient in TCP/IP, load balancing strategies, and troubleshooting network-related issues. Web & API Technologies: Understanding of HTTP, SSL, REST APIs for debugging and troubleshooting API-related issues. Nice to have Skills Familiarity with Data Science or ML will be an edge. Experience with LDAP, SSO, OAuth authentication. Strong understanding of database internals and system architecture. Cloud certification (at least DevOps Engineer level)

Job DescriptionCollaborate closely with the Chief Digital Transformation Officer and the technical team to identify opportunities and develop innovative solutions leveraging AI, automation, and other new-age technologies.Participate in the entire lifecycle of solution development, from ideation and conceptualization to design, prototyping, and implementation.Conduct market research and analysis to understand emerging technology trends, competitive landscapes, and client needs.Contribute to the development of Agivant's intellectual property (IP) and solution accelerators.Assist in the creation of compelling value propositions, presentations, and other materials to communicate the benefits of new solutions to internal and external stakeholders.Work with technical teams to ensure the feasibility and scalability of proposed solutions.Support the CDTO in strategic initiatives related to digital transformation and innovation.Stay abreast of the latest advancements in AI, cloud computing, and other relevant technologies. RequirementsBachelor's degree in Engineering (Computer Science, Information Technology, or related field) from a Tier 1 institution.MBA degree from a Tier 1 business school.A strong passion for technology, particularly in the areas of Artificial Intelligence (AI) and new-age IT solutions.Demonstrated understanding of the evolving Indian IT services landscape and the impact of AI disruption.3-4 years of relevant professional experience, ideally in areas such as technology consulting, product development, or solution architecture.Excellent analytical, problem-solving, and conceptual thinking skills.Strong communication (written and verbal) and interpersonal skills.Ability to work effectively in a fast-paced, collaborative environment.A proactive and self-driven attitude with a strong desire to learn and grow.Intellectual horsepower and a proven ability to quickly grasp complex technical and business concepts.

Collaborate closely with the Chief Digital Transformation Officer and the technical team to identify opportunities and develop innovative solutions leveraging AI, automation, and other new-age technologies. Participate in the entire lifecycle of solution development, from ideation and conceptualization to design, prototyping, and implementation. Conduct market research and analysis to understand emerging technology trends, competitive landscapes, and client needs. Contribute to the development of Agivant's intellectual property (IP) and solution accelerators. Assist in the creation of compelling value propositions, presentations, and other materials to communicate the benefits of new solutions to internal and external stakeholders. Work with technical teams to ensure the feasibility and scalability of proposed solutions. Support the CDTO in strategic initiatives related to digital transformation and innovation. Stay abreast of the latest advancements in AI, cloud computing, and other relevant technologies. Requirements Bachelor's degree in Engineering (Computer Science, Information Technology, or related field) from a Tier 1 institution. MBA degree from a Tier 1 business school. A strong passion for technology, particularly in the areas of Artificial Intelligence (AI) and new-age IT solutions. Demonstrated understanding of the evolving Indian IT services landscape and the impact of AI disruption. 3-4 years of relevant professional experience, ideally in areas such as technology consulting, product development, or solution architecture. Excellent analytical, problem-solving, and conceptual thinking skills. Strong communication (written and verbal) and interpersonal skills. Ability to work effectively in a fast-paced, collaborative environment. A proactive and self-driven attitude with a strong desire to learn and grow. Intellectual horsepower and a proven ability to quickly grasp complex technical and business concepts. Benefits A unique opportunity to work at the forefront of AI-driven transformation in the IT services industry. Direct mentorship and exposure to the Chief Digital Transformation Officer, Chief Executive Officer and a highly experienced technical team. A stimulating and intellectually challenging environment focused on innovation and IP creation. The chance to make a significant impact on Agivant's growth and client success. A dynamic and supportive work culture that encourages learning and development. Competitive compensation and benefits.

Looking for a highly motivated, self-driven AI Experienced Data Scientist for building differentiating solutions and for implementing AI and Generative AI (Gen AI) based solutions for customer's business problems. As an AI Solution Engineer , build AI and Gen AI empowered practical in-depth solutions for solving customers business problems. As an AI and Data Solution Engineer , design and implement Cloud Data, AI, and Gen AI based solutions , including LLM-powered systems, for customer programs. Apply statistics, modeling, LLMs , and machine learning to improve the efficiency of systems and relevance algorithms across our business application products. Requirements Bachelors degree or Masters degree in Computer Science / AIML / Data Science. 4 to 6 years of overall experience and hands-on experience with the design and implementation of Machine Learning models, Deep Learning models, and Gen AI models (e.g., GPT, LLaMA, Mistral) for solving business problems. Proven experience working with Generative AI technologies , including prompt engineering, fine-tuning large language models (LLMs), embeddings, vector databases (e.g., FAISS, Pinecone), and Retrieval-Augmented Generation (RAG) systems. Expertise in R, Python (NumPy, Scikit-learn, Pandas), TensorFlow, PyTorch, transformers (e.g., Hugging Face) , or MLlib. Expertise in cloud-based data and AI solution design and implementation using GCP / AWS / Azure , including the use of their Gen AI services. Good experience in building complex and scalable ML and Gen AI solutions and deploying them into production environments. Experience with scripting in SQL, extracting large datasets, and designing ETL flows. Excellent problem-solving and analytical skills with the ability to translate business requirements into data science and Gen AI solutions. Effective communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.

We are looking for a highly skilled Site Reliability Engineer (SRE) with strong engineering and architectural expertise to design, implement, and manage large-scale, mission-critical infrastructure across multiple data centers and cloud providers. As an SRE, you will be responsible for architecting and optimizing our global infrastructure, enabling development teams to roll out new features efficiently while maintaining high availability and reliability. You will be hands-on with automation, performance tuning, infrastructure scalability, and cloud-native technologies to ensure a seamless user experience for millions of customers. Key Responsibilities : 1. Architect and implement highly scalable, fault-tolerant, and distributed systems across multi-cloud (OCI, AWS, GCP) and on-premise environments using modern DevOps and SRE principles. 2. Design and deploy next-generation cloud infrastructure with a strong focus on automation, self-healing systems, and performance optimization. Develop and maintain infrastructure-as-code (IaC) using Terraform and configuration management tools such as Ansible and Puppet for automated provisioning and orchestration. 3. Build and optimize containerized environments using Kubernetes and Docker for seamless deployment and scaling. 4. Drive performance, scalability, and security improvements across our cloud and on-prem infrastructure, ensuring high availability and disaster recovery capabilities. Monitor, troubleshoot, and resolve complex system issues by implementing advanced observability solutions, logging, and real-time monitoring frameworks. 5. Develop and enforce SRE best practices, including SLI/SLO definition, capacity planning, and incident management strategies. 6. Eliminate toil and automate repetitive tasks using scripting languages such as Python, Golang, or Shell scripting to improve operational efficiency. 7. Collaborate closely with engineering, architecture, and security teams to improve system resiliency, optimize application performance, and streamline CI/CD workflows. Lead the transition of legacy systems to modern, cloud-native architectures, advocating for DevOps and infrastructure automation. 8. Participate in 24/7 on-call rotations, ensuring rapid response to critical incidents and driving post-mortem analysis for continuous improvement. Requirements : 1. 7+ years of hands-on experience in a Site Reliability Engineering (SRE) role, with a strong focus on designing, implementing, and managing cloud-native infrastructure. Proficient with any cloud platform (preferably OCI) -not just operational experience but actual design and implementation expertise. 2. Proven experience in building, deploying, and optimizing infrastructure-as-code (IaC) using Terraform. 3. Strong automation mindset with proficiency in Ansible, Puppet, or other configuration management tools. 4. Hands-on experience with container orchestration using Kubernetes, Docker, and microservices architecture. 5. Advanced scripting and automation skills in Python, Golang, or Shell scripting to eliminate manual operations. 6. Working knowledge of load balancing technologies (HAProxy, Nginx, F5, Varnish, dnsdist) and web servers (Apache, Nginx). 7. Strong understanding of networking, distributed systems, and observability tools (Prometheus, Grafana, ELK stack, Datadog). 8. Experience in designing and implementing highly available, scalable, and secure architectures across cloud and hybrid environments. 9. AWS and/or GCP certifications are a plus but not required. 10. This is not a support-focused role-we are looking for engineers who have built, deployed, and optimized complex distributed systems from the ground up.

About the role We are seeking a seasoned Shopify Technical Lead to join our growing team. In this role, you will lead the development, implementation, and optimization of Shopify solutions for a diverse portfolio of clients, including B2C, B2B, and POS implementations. You will work closely with internal teams, clients, and external partners to ensure high-quality Shopify experiences are delivered on time and within scope. Key responsibilities Establish and maintain coding best practices, conduct code reviews, and ensure high standards of code quality, performance, and security. Provide leadership, guidance, and mentorship to a team of developers, ensuring continuous improvement in technical skills and adherence to project goals. Create technical proofs-of-concept and vertical slices to validate architectural approaches. Develop custom Shopify themes and apps, integrating with third-party systems such as OMS, ERP, CRM, PIM, and marketing platforms to support complex eCommerce needs. Continuously optimize site performance, ensuring fast load times, mobile responsiveness, and SEO best practices. Requirements What you bring to the table Minimum 8 years of professional experience working with Shopify in an agency or brand environment. A strong portfolio of Shopify stores developed, including custom apps, themes, and integrations. Proficiency in Shopify Plus, Shopify APIs, Liquid, Hydrogen, HTML5, CSS3, JavaScript, and Node.js. Experience with REST and GraphQL APIs. Strong understanding of eCommerce best practices, performance optimization, and SEO. Familiarity with third-party integrations (ERP, CRM, PIM, payment gateways, and analytics platforms). Experience with version control systems (e.g., Git). Shopify certifications (e.g., Shopify Partners, Shopify Plus Expert). Experience setting up and maintaining CI/CD pipelines (Github Actions, Jenkins, etc.) Experience setting up and maintaining Node.js/NPM-based front-end build pipelines. Deep knowledge of front-end performance metrics, strategies, and ecosystem. Experience working with international clients and multi-currency, multi-language Shopify stores. Strong organizational skills with experience managing multiple projects simultaneously. Familiarity with Agile and Scrum methodologies.

Job Description We are seeking a highly skilled and customer-focused GraphDB / Neo4J Solutions Engineer to join our team. This role is responsible for delivering high-quality solution implementation to our customers to implement GraphDB based product and collaborating with cross-functional teams to ensure customer success. Solution lead is expected to provide in-depth solutions on Data based Software Product to a global client base and partners. This role requires deep technical expertise, strong problem-solving skills, and the ability to communicate complex technical information effectively. Solution lead must have experience working with databases, specifically graph databases, and possess a strong background in Linux, networking, and scripting (bash/python). Roles and Responsibilities Collaborate with core engineering, Customers and solution engineering teams for functional and technical discovery sessions . Prepare product and live software demonstrations Create and maintain public documentation, internal knowledge base articles, and FAQs. Ability to design efficient graph schemas and develop prototypes that address customer requirements (e.g., Fraud Detection, Recommendation Engines, Knowledge Graphs). Knowledge of indexing strategies , partitioning , and query optimization in GraphDB. Candidate to work during EMEA time zone (2PM to 10 PM shift) ​ Requirements Education and Experience Education: B.Tech in computer engineering, Information Technology, or related field. Experience: 5+ years of experience in a Solution Lead role on Data based Software Product such as GraphDB, Neo4J Must Have Skills SQL Expertise: 4+ years of experience in SQL for database querying, performance tuning, and debugging. Graph Databases and GraphDB platforms: 4+ years of hands on experience with Neo4j, or similar graph database systems. Scripting & Automation: 4+ years with strong skills in C, C++, Python for automation, task management, and issue resolution. Virtualization and Cloud knowledge : 4+ years with Azure, GCP or AWS. Management skills : 3+ years Experience with data requirements gathering and data modeling, white boarding and developing/validating proposed solution architectures. The ability to communicate complex information and concepts to prospective users in a clear and effective way. Monitoring & Performance Tools: Experience with Grafana, Datadog, Prometheus, or similar tools for system and performance monitoring. Networking & Load Balancing: Proficient in TCP/IP, load balancing strategies, and troubleshooting network-related issues. Show more Show less

Job Description We are seeking a highly skilled and customer-focused Technical Support Engineer to join our team. This role is responsible for delivering high-quality technical support to our customers to troubleshoot complex technical issues and collaborating with cross-functional teams to ensure customer success. Technical Support Engineer is expected to provide advanced technical support on Data based Software Product to a global client base and partners. This role requires deep technical expertise, strong problem-solving skills, and the ability to communicate complex technical information effectively. The primary responsibility is to troubleshoot and resolve technical issues, support product adoption, and ensure customer satisfaction. TSE must have experience working with databases, specifically graph databases, and possess a strong background in Linux, networking, and scripting (bash/python). They work collaboratively with engineering teams to escalate and resolve complex issues when necessary (i.e. code change required, first time seeing a behavior). Roles and Responsibilities Respond to customer inquiries and provide in-depth technical support via multiple communication channels. Collaborate with core engineering and solution engineering teams to diagnose and resolve complex technical problems. Create and maintain public documentation, internal knowledge base articles, and FAQs. Monitoring and meeting SLAs. Timely triage varying issues based on error messages, log files, threads dumps, stack traces, sample code, and other available data points. Efficiently troubleshoot cluster issues across multiple servers, data centers, and regions, in a variety of clouds (AWS, Azure, GCP, etc), virtual, and bare metal environments. Candidate to work during EMEA time zone (2PM to 10 PM shift) ​ Requirements ​ Must Have Skills Education: B.Tech in computer engineering, Information Technology, or related field. Experience: GraphDB experience is must 5+ years of experience in a Technical Support Role p on Data based Software Product at least L3 level. Linux Expertise: 4+ years with in-depth understanding of Linux, including filesystem, process management, memory management, networking, and security. Graph Databases: 3+ years of experience with Neo4j, or similar graph database systems. SQL Expertise: 3+ years of experience in SQL for database querying, performance tuning, and debugging. Data Streaming & Processing: 2+ years hands-on experience with Kafka, Zookeeper, and Spark. Scripting & Automation: 2+ years with strong skills in Bash scripting and Python for automation, task management, and issue resolution. Containerization & Orchestration: 1+ year proficiency in Docker, Kubernetes, or other containerization technologies is essential. Monitoring & Performance Tools: Experience with Grafana, Datadog, Prometheus, or similar tools for system and performance monitoring. Networking & Load Balancing: Proficient in TCP/IP, load balancing strategies, and troubleshooting network-related issues. Web & API Technologies: Understanding of HTTP, SSL, REST APIs for debugging and troubleshooting API-related issues. Nice to have Skills Familiarity with Data Science or ML will be an edge. Experience with LDAP, SSO, OAuth authentication. Strong understanding of database internals and system architecture. Cloud certification (at least DevOps Engineer level) Show more Show less

Job Summary: We are seeking a highly experienced Principal Solution Architect to lead the design, development, and implementation of sophisticated cloud-based data solutions for our key clients. The ideal candidate will possess deep technical expertise across multiple cloud platforms (AWS, Azure, GCP), data architecture paradigms, and modern data technologies. You will be instrumental in shaping data strategies, driving innovation through areas like GenAI and LLMs, and ensuring the successful delivery of complex data projects across various industries. Key Responsibilities: Solution Design & Architecture: Lead the architecture and design of robust, scalable, and secure enterprise-grade data solutions, including data lakes, data warehouses, data mesh, and real-time data pipelines on AWS, Azure, and GCP. Client Engagement & Pre-Sales: Collaborate closely with clients to understand their business challenges, translate requirements into technical solutions, and present compelling data strategies. Support pre-sales activities, including proposal development and solution demonstrations. Data Strategy & Modernization: Drive data and analytics modernization initiatives, leveraging cloud-native services, Big Data technologies, GenAI, and LLMs to deliver transformative business value. Industry Expertise: Apply data architecture best practices across various industries (e.g., BFSI, Retail, Supply Chain, Manufacturing). Required Qualifications & Skills: Experience: 15+ years of experience in IT, with a significant focus on data architecture, solution architecture, and data engineering. Proven experience in a principal-level or lead architect role. Cloud Expertise: Deep, hands-on experience with major cloud platforms: Azure: (Microsoft Fabric, Data Lake, Power BI, Data Factory, Azure Purview ), good understanding of Azure Service Foundry, Agentic AI, copilot GCP: (Big Query, Vertex.AI, Gemini ) Data Science Leadership: Understanding and experience in integrating AI/ML capabilities, including GenAI and LLMs, into data solutions. Leadership & Communication: Exceptional communication, presentation, and interpersonal skills. Proven ability to lead technical teams and manage client relationships. Problem-Solving: Strong analytical and problem-solving abilities with a strategic mindset. Education: Bachelor’s or master’s degree in computer science, Engineering, Information Technology, or a related field. Preferred Qualifications: Relevant certifications in AWS, Azure, GCP, Snowflake, or Databricks. Experience with Agentic AI, hyper-intelligent automation Show more Show less

":" We are seeking a highly experienced Principal Solution Architect to lead the design, development, and implementation of sophisticated cloud-based data solutions for our key clients. The ideal candidate will possess deep technical expertise across multiple cloud platforms (AWS, Azure, GCP), data architecture paradigms, and modern data technologies. You will be instrumental in shaping data strategies, driving innovation through areas like GenAI and LLMs, and ensuring the successful delivery of complex data projects across various industries. Key Responsibilities: Solution Design Architecture: Lead the architecture and design of robust, scalable, and secure enterprise-grade data solutions, including data lakes, data warehouses, data mesh, and real-time data pipelines on AWS, Azure, and GCP. Client Engagement Pre-Sales: Collaborate closely with clients to understand their business challenges, translate requirements into technical solutions, and present compelling data strategies. Support pre-sales activities, including proposal development and solution demonstrations. Data Strategy Modernization: Drive data and analytics modernization initiatives, leveraging cloud-native services, Big Data technologies, GenAI, and LLMs to deliver transformative business value. Industry Expertise: Apply data architecture best practices across various industries (e.g., BFSI, Retail, Supply Chain, Manufacturing). Requirements Required Qualifications Skills: Experience: 15+ years of experience in IT, with a significant focus on data architecture, solution architecture, and data engineering. Proven experience in a principal-level or lead architect role. Cloud Expertise: Deep, hands-on experience with major cloud platforms: Azure: (Microsoft Fabric, Data Lake, Power BI, Data Factory, Azure Purview ), good understanding of Azure Service Foundry, Agentic AI, copilot GCP: (Big Query, Vertex.AI , Gemini ) Data Science Leadership: Understanding and experience in integrating AI/ML capabilities, including GenAI and LLMs, into data solutions. Leadership Communication: Exceptional communication, presentation, and interpersonal skills. Proven ability to lead technical teams and manage client relationships. Problem-Solving: Strong analytical and problem-solving abilities with a strategic mindset. Education: Bacheloror masterdegree in computer science, Engineering, Information Technology, or a related field. Preferred Qualifications: Relevant certifications in AWS, Azure, GCP, Snowflake, or Databricks.

We are seeking a Technical Writer to lead and enhance our technical documentation function. This role combines hands-on content creation with team leadership, focusing on improving processes, ensuring content quality, and driving team efficiency. The ideal candidate will possess a robust technical background, particularly in distributed systems and databases, and excel at delivering precise and user-friendly documentation. Key Responsibilities: Technical Documentation: Create and refine high-quality technical content that includes user guides, release notes, FAQs, and API documentation. Simplify complex concepts into clear, concise, and user-friendly documentation. Team Leadership: Guide and mentor, the documentation team to achieve excellence in deliverables. Conduct reviews, set priorities, and foster best practices for consistent team performance. Process Optimization: Audit and enhance documentation workflows for improved efficiency and alignment with product releases. Drive initiatives to standardize templates and streamline processes for content quality. Collaboration: Work closely with product and engineering teams to gather information and stay updated on product developments. Ensure content meets the specific needs of end users through a user-centric approach. Requirements Required skills and experience: Technical Writing Expertise: Demonstrated ability to create comprehensive documentation including user guides, release notes, API documentation, and FAQs for complex enterprise software systems, with an emphasis on clarity and accuracy. Technical Knowledge: Intermediate understanding of distributed systems, databases, and query languages such as SQL. Familiarity with programming concepts (e.g., Python, Java) and their application in technical documentation. Proficiency in Linux environments for command-line operations and system navigation. Tools: Ability to Utilize tools like Git, Antora, or AsciiDoc for version-controlled, structured documentation. Preferred: 2 to 5 years experience authoring technical documentation, preferably for software developers. Knowledge of database and enterprise software terminology. Show more Show less

Job Description We are seeking a highly skilled and customer-focused GraphDB / Neo4J Solutions Engineer to join our team. This role is responsible for delivering high-quality solution implementation to our customers to implement GraphDB based product and collaborating with cross-functional teams to ensure customer success. Solution lead is expected to provide in-depth solutions on Data based Software Product to a global client base and partners. This role requires deep technical expertise, strong problem-solving skills, and the ability to communicate complex technical information effectively. Solution lead must have experience working with databases, specifically graph databases, and possess a strong background in Linux, networking, and scripting (bash/python). Roles And Responsibilities Collaborate with core engineering, Customers and solution engineering teams for functional and technical discovery sessions. Prepare product and live software demonstrations Create and maintain public documentation, internal knowledge base articles, and FAQs. Ability to design efficient graph schemas and develop prototypes that address customer requirements (e.g., Fraud Detection, Recommendation Engines, Knowledge Graphs). Knowledge of indexing strategies, partitioning, and query optimization in GraphDB. Candidate to work during EMEA time zone (2PM to 10 PM shift) Requirements Education and Experience Education: B.Tech in computer engineering, Information Technology, or related field. Experience: 5+ years of experience in a Solution Lead role on Data based Software Product such as GraphDB, Neo4J Must Have Skills SQL Expertise: 4+ years of experience in SQL for database querying, performance tuning, and debugging. Graph Databases and GraphDB platforms: 4+ years of hands on experience with Neo4j, or similar graph database systems. Scripting & Automation: 4+ years with strong skills in C, C++, Python for automation, task management, and issue resolution. Virtualization and Cloud knowledge: 4+ years with Azure, GCP or AWS. Management skills : 3+ years Experience with data requirements gathering and data modeling, white boarding and developing/validating proposed solution architectures. The ability to communicate complex information and concepts to prospective users in a clear and effective way. Monitoring & Performance Tools: Experience with Grafana, Datadog, Prometheus, or similar tools for system and performance monitoring. Networking & Load Balancing: Proficient in TCP/IP, load balancing strategies, and troubleshooting network-related issues. Show more Show less

Job Description We are seeking a highly skilled and customer-focused Technical Support Engineer to join our team. This role is responsible for delivering high-quality technical support to our customers to troubleshoot complex technical issues and collaborating with cross-functional teams to ensure customer success. Technical Support Engineer is expected to provide advanced technical support on Data based Software Product to a global client base and partners. This role requires deep technical expertise, strong problem-solving skills, and the ability to communicate complex technical information effectively. The primary responsibility is to troubleshoot and resolve technical issues, support product adoption, and ensure customer satisfaction. TSE must have experience working with databases, specifically graph databases, and possess a strong background in Linux, networking, and scripting (bash/python). They work collaboratively with engineering teams to escalate and resolve complex issues when necessary (i.e. code change required, first time seeing a behavior). Roles and Responsibilities Respond to customer inquiries and provide in-depth technical support via multiple communication channels. Collaborate with core engineering and solution engineering teams to diagnose and resolve complex technical problems. Create and maintain public documentation, internal knowledge base articles, and FAQs. Monitoring and meeting SLAs. Timely triage varying issues based on error messages, log files, threads dumps, stack traces, sample code, and other available data points. Efficiently troubleshoot cluster issues across multiple servers, data centers, and regions, in a variety of clouds (AWS, Azure, GCP, etc), virtual, and bare metal environments. Candidate to work during EMEA time zone (2PM to 10 PM shift) Requirements Must Have Skills Education: B.Tech in computer engineering, Information Technology, or related field. Experience: GraphDB experience is must 5+ years of experience in a Technical Support Role p on Data based Software Product at least L3 level. Linux Expertise: 4+ years with in-depth understanding of Linux, including filesystem, process management, memory management, networking, and security. Graph Databases: 3+ years of experience with Neo4j, or similar graph database systems. SQL Expertise: 3+ years of experience in SQL for database querying, performance tuning, and debugging. Data Streaming & Processing: 2+ years hands-on experience with Kafka, Zookeeper, and Spark. Scripting & Automation: 2+ years with strong skills in Bash scripting and Python for automation, task management, and issue resolution. Containerization & Orchestration: 1+ year proficiency in Docker, Kubernetes, or other containerization technologies is essential. Monitoring & Performance Tools: Experience with Grafana, Datadog, Prometheus, or similar tools for system and performance monitoring. Networking & Load Balancing: Proficient in TCP/IP, load balancing strategies, and troubleshooting network-related issues. Web & API Technologies: Understanding of HTTP, SSL, REST APIs for debugging and troubleshooting API-related issues. Nice to have Skills Familiarity with Data Science or ML will be an edge. Experience with LDAP, SSO, OAuth authentication. Strong understanding of database internals and system architecture. Cloud certification (at least DevOps Engineer level) Show more Show less

We are a rapidly growing AI-First IT Services Engineering company seeking a highly motivated and hands-on Talent Acquisition Lead . As a startup with a lean team, this role requires an individual who is not only a strategic thinker but also enthusiastic about personally executing the full spectrum of recruitment activities. The ideal candidate will have a proven track record in end-to-end technical recruitment across various software technologies , be deeply comfortable with the demands of an AI-driven engineering environment and be ready to roll up their sleeves and actively source, screen, and manage candidates from start to finish, while also building our recruitment foundation. Responsibilities End-to-End Hands-On Recruitment: Personally manage the complete recruitment lifecycle for all IT roles, with a strong focus on software engineering and AI/ML positions , from job requisition creation to offer negotiation and onboarding support. This includes active sourcing, technical screening, interviewing, and candidate management. Strategic Technical Sourcing & Networking: Proactively identify and engage top-tier software engineers, AI/ML specialists, data scientists, and other technical professionals through diverse channels, including specialized job boards, tech communities, social networks, professional referrals, and direct outreach. You will be expected to conduct the majority of technical sourcing yourself. Technical Screening & Assessment: Conduct thorough initial interviews and technical assessments to evaluate candidates' qualifications, coding skills, technical expertise, problem-solving abilities, cultural fit, and alignment with our startup's values and technical stack. Hiring Manager Collaboration: Partner directly with engineering leads and technical hiring managers to deeply understand specific hiring needs for complex technical roles, provide market insights, and ensure alignment on candidate profiles and recruitment strategies. Recruitment Reporting: Track and report on key recruitment metrics to provide clear insights into pipeline status and hiring progress for technical roles to the leadership team. Process Ownership & Optimization: Drive the efficiency and effectiveness of our technical recruitment process, actively using and optimizing ATS tools (Zoho) and other recruitment technologies to enhance candidate experience and streamline workflows. Technical Market Intelligence: Stay deeply updated on industry trends, compensation benchmarks for technical roles, emerging software technologies, and AI/ML advancements, directly applying this knowledge to optimize technical sourcing and hiring strategies. Team Support (Future): As we grow, you will lay the groundwork for and potentially mentor future TA team members, but initially, this role is primarily execution focused. Requirements Requirements Experience: 8+ years of hands-on experience in technical recruitment, specifically within software development, AI/ML, or related IT services engineering domains , demonstrating a consistent record of successfully closing complex technical roles personally. Educational Background: A bachelor’s degree in a related field is preferred; a technical background or strong understanding of computer science fundamentals is a significant plus. Deep Technical Domain Expertise: Practical understanding of various software roles (e.g., Full Stack, Backend, Frontend, DevOps, QA), programming languages (e.g., Python, Java, JavaScript), cloud platforms, AI/ML concepts, and modern software development lifecycles. AI-First Environment Comfort: Demonstrated comfort and experience recruiting for companies focused on AI, machine learning, and advanced IT services engineering. Hands-On Execution: A strong willingness and proven capability to perform all aspects of recruitment from technical sourcing to offer negotiation. This is not a purely managerial or advisory role. Communication & Interpersonal Skills: Exceptional communication, presentation, and interpersonal skills, with the ability to influence and build strong relationships with technical candidates and internal stakeholders. Problem Solving: Strong analytical and problem-solving skills, with the ability to adapt quickly and effectively to changing technical recruitment needs in a fast-paced environment. Negotiation & Persuasion: Highly skilled in negotiation and persuasion, with a track record of personally closing critical technical hires. ATS Proficiency: Expert-level proficiency with recruitment software and applicant tracking systems, including Zoho, for comprehensive recruitment management. Advanced Technical Sourcing Expertise: Advanced proficiency in using various technical sourcing techniques, including Boolean search strings, LinkedIn Recruiter, GitHub, Stack Overflow, and other specialized tech platforms, with a clear understanding of how to personally execute these searches. Results-Oriented: Proactive, self-motivated, and highly results-driven, with a strong sense of urgency and commitment to meeting and exceeding technical recruitment goals independently. Startup Mentality: Comfortable operating in a dynamic, rapidly evolving startup environment where adaptability and a can-do attitude are paramount. Show more Show less

About The Job Job Description : We are seeking a highly skilled and customer-focused Technical Support Engineer to join our team. This role is responsible for delivering high-quality technical support to our customers to troubleshoot complex technical issues and collaborating with cross-functional teams to ensure customer success. Technical Support Engineer is expected to provide advanced technical support on Data based Software Product to a global client base and partners. This role requires deep technical expertise, strong problem-solving skills, and the ability to communicate complex technical information effectively. The primary responsibility is to troubleshoot and resolve technical issues, support product adoption, and ensure customer satisfaction. TSE must have experience working with databases, specifically graph databases, and possess a strong background in Linux, networking, and scripting (bash/python). They work collaboratively with engineering teams to escalate and resolve complex issues when necessary (i.e. code change required, first time seeing a behavior). Roles And Responsibilities Respond to customer inquiries and provide in-depth technical support via multiple communication channels. Collaborate with core engineering and solution engineering teams to diagnose and resolve complex technical problems. Create and maintain public documentation, internal knowledge base articles, and FAQs. Monitoring and meeting SLAs. Timely triage varying issues based on error messages, log files, threads dumps, stack traces, sample code, and other available data points. Efficiently troubleshoot cluster issues across multiple servers, data centers, and regions, in a variety of clouds (AWS, Azure, GCP, etc), virtual, and bare metal environments. Candidate to work during EMEA time zone (2PM to 10 PM shift) Requirements Must Have Skills : Education : B.Tech in computer engineering, Information Technology, or related field. Experience GraphDB experience is must 5+ years of experience in a Technical Support Role on Data based Software Product at least L3 level. Linux Expertise : 4+ years with in-depth understanding of Linux, including filesystem, process management, memory management, networking, and security. Graph Databases : 3+ years of experience with Neo4j, or similar graph database systems. SQL Expertise : 3+ years of experience in SQL for database querying, performance tuning, and debugging. Data Streaming & Processing : 2+ years hands-on experience with Kafka, Zookeeper, and Spark. Scripting & Automation : 2+ years with strong skills in Bash scripting and Python for automation, task management, and issue resolution. Containerization & Orchestration : 1+ year proficiency in Docker, Kubernetes, or other containerization technologies is essential. Monitoring & Performance Tools : Experience with Grafana, Datadog, Prometheus, or similar tools for system and performance monitoring. Networking & Load Balancing : Proficient in TCP/IP, load balancing strategies, and troubleshooting network-related issues. Web & API Technologies : Understanding of HTTP, SSL, REST APIs for debugging and troubleshooting API-related issues. Nice To Have Skills Familiarity with Data Science or ML will be an edge. Experience with LDAP, SSO, OAuth authentication. Strong understanding of database internals and system architecture. Cloud certification (at least DevOps Engineer level) (ref:hirist.tech) Show more Show less

About The Job Job Description : We are seeking a highly skilled and customer-focused GraphDB / Neo4J Solutions Engineer to join our team. This role is responsible for delivering high-quality solution implementation to our customers to implement GraphDB based product and collaborating with cross-functional teams to ensure customer success. Solution lead is expected to provide in-depth solutions on Data based Software Product to a global client base and partners. This role requires deep technical expertise, strong problem-solving skills, and the ability to communicate complex technical information effectively. Solution lead must have experience working with databases, specifically graph databases, and possess a strong background in Linux, networking, and scripting (bash/python). Roles And Responsibilities Collaborate with core engineering, Customers and solution engineering teams for functional and technical discovery sessions. Prepare product and live software demonstrations Create and maintain public documentation, internal knowledge base articles, and FAQs. Ability to design efficient graph schemas and develop prototypes that address customer requirements (e., Fraud Detection, Recommendation Engines, Knowledge Graphs). Knowledge of indexing strategies, partitioning, and query optimization in GraphDB. Candidate to work during EMEA time zone (2PM to 10 PM shift) Requirements Education and Experience : Education : B.Tech in computer engineering, Information Technology, or related field. Experience : 5+ years of experience in a Solution Lead role on Data based Software Product such as GraphDB, Neo4J Must Have Skills SQL Expertise : 4+ years of experience in SQL for database querying, performance tuning, and debugging. Graph Databases and GraphDB platforms : 4+ years of hands on experience with Neo4j, or similar graph database systems. Scripting & Automation : 4+ years with strong skills in C, C++, Python for automation, task management, and issue resolution. Virtualization and Cloud knowledge : 4+ years with Azure, GCP or AWS. Management skills : 3+ years Experience with data requirements gathering and data modeling, white boarding and developing/validating proposed solution architectures. The ability to communicate complex information and concepts to prospective users in a clear and effective way. Monitoring & Performance Tools : Experience with Grafana, Datadog, Prometheus, or similar tools for system and performance monitoring. Networking & Load Balancing : Proficient in TCP/IP, load balancing strategies, and troubleshooting network-related issues (ref:hirist.tech) Show more Show less

We are a rapidly growing AI-First IT Services Engineering company seeking a highly motivated and hands-on Talent Acquisition Lead . As a startup with a lean team, this role requires an individual who is not only a strategic thinker but also enthusiastic about personally executing the full spectrum of recruitment activities. The ideal candidate will have a proven track record in end-to-end technical recruitment across various software technologies , be deeply comfortable with the demands of an AI-driven engineering environment and be ready to roll up their sleeves and actively source, screen, and manage candidates from start to finish, while also building our recruitment foundation. \u200b Responsibilities End-to-End Hands-On Recruitment: Personally manage the complete recruitment lifecycle for all IT roles, with a strong focus on software engineering and AI/ML positions , from job requisition creation to offer negotiation and onboarding support. This includes active sourcing, technical screening, interviewing, and candidate management. Strategic Technical Sourcing & Networking: Proactively identify and engage top-tier software engineers, AI/ML specialists, data scientists, and other technical professionals through diverse channels, including specialized job boards, tech communities, social networks, professional referrals, and direct outreach. You will be expected to conduct the majority of technical sourcing yourself. Technical Screening & Assessment: Conduct thorough initial interviews and technical assessments to evaluate candidates qualifications, coding skills, technical expertise, problem-solving abilities, cultural fit, and alignment with our startups values and technical stack. Hiring Manager Collaboration: Partner directly with engineering leads and technical hiring managers to deeply understand specific hiring needs for complex technical roles, provide market insights, and ensure alignment on candidate profiles and recruitment strategies. Recruitment Reporting: Track and report on key recruitment metrics to provide clear insights into pipeline status and hiring progress for technical roles to the leadership team. Process Ownership & Optimization: Drive the efficiency and effectiveness of our technical recruitment process, actively using and optimizing ATS tools (Zoho) and other recruitment technologies to enhance candidate experience and streamline workflows. Technical Market Intelligence: Stay deeply updated on industry trends, compensation benchmarks for technical roles, emerging software technologies, and AI/ML advancements, directly applying this knowledge to optimize technical sourcing and hiring strategies. Team Support (Future): As we grow, you will lay the groundwork for and potentially mentor future TA team members, but initially, this role is primarily execution focused. \u200b Requirements Requirements Experience: 8+ years of hands-on experience in technical recruitment, specifically within software development, AI/ML, or related IT services engineering domains , demonstrating a consistent record of successfully closing complex technical roles personally. Educational Background: A bachelor\u2019s degree in a related field is preferred; a technical background or strong understanding of computer science fundamentals is a significant plus. Deep Technical Domain Expertise: Practical understanding of various software roles (e.g., Full Stack, Backend, Frontend, DevOps, QA), programming languages (e.g., Python, Java, JavaScript), cloud platforms, AI/ML concepts, and modern software development lifecycles. AI-First Environment Comfort: Demonstrated comfort and experience recruiting for companies focused on AI, machine learning, and advanced IT services engineering. Hands-On Execution: A strong willingness and proven capability to perform all aspects of recruitment from technical sourcing to offer negotiation. This is not a purely managerial or advisory role. Communication & Interpersonal Skills: Exceptional communication, presentation, and interpersonal skills, with the ability to influence and build strong relationships with technical candidates and internal stakeholders. Problem Solving: Strong analytical and problem-solving skills, with the ability to adapt quickly and effectively to changing technical recruitment needs in a fast-paced environment. Negotiation & Persuasion: Highly skilled in negotiation and persuasion, with a track record of personally closing critical technical hires. ATS Proficiency: Expert-level proficiency with recruitment software and applicant tracking systems, including Zoho, for comprehensive recruitment management. Advanced Technical Sourcing Expertise: Advanced proficiency in using various technical sourcing techniques, including Boolean search strings, LinkedIn Recruiter, GitHub, Stack Overflow, and other specialized tech platforms, with a clear understanding of how to personally execute these searches. Results-Oriented: Proactive, self-motivated, and highly results-driven, with a strong sense of urgency and commitment to meeting and exceeding technical recruitment goals independently. Startup Mentality: Comfortable operating in a dynamic, rapidly evolving startup environment where adaptability and a can-do attitude are paramount.

Understanding of emerging technology Passion to learn Interest in one of the core domains \u2013 AI/ML/GCP/AWS/Azure Roles & Responsibilities: Work with the senior leadership in emerging technology areas for a specific project Collaborate with the practice team for emerging services line Make good use of the external learning ecosystem Agivant will provide for