As a Regional Solutions Engineer at Data Dynamics, you will play a crucial role in technical pre-sales and customer management. Your responsibilities will include gathering business and technical requirements from customers, coordinating technical information, providing demonstrations, and positioning our products effectively. You will research customer requirements thoroughly and ensure supportability considerations. You will be tasked with evaluating customers" business needs and translating them into technical and licensing requirements. In the case of a Proof of Concept (POC) or sale, you will collaborate with the sales representative to review the work. For existing customers targeted for upsell or cross-sell opportunities, you will work closely with the customer success manager and global support team, offering a seamless customer experience. Your role will involve setting up and conducting demonstrations and POCs independently. You will define success criteria with customers and sales representatives, monitor goal achievement throughout the POC process, and present the outcomes to Data Dynamics Sales and customer decision-makers. Post-sale, you will be available to assist or lead the installation based on time zone and resource availability. Given your daily interactions with new and existing customers, understanding their business objectives, technical capabilities, and constraints, you are expected to be a customer advocate. Your feedback on business processes, technical issues, and potential enhancements will be invaluable in driving continuous improvements and ensuring customer success. In addition to the above responsibilities, you will be involved in script writing, bug reporting, software testing, personal activity tracking, CRM updates, and communication updates to management. Occasional travel for customer or internal meetings may be necessary. At Data Dynamics, we prioritize delivering an exceptional customer experience. We foster a collaborative, challenging, fun, and innovative work environment. If you are a customer-centric individual passionate about developing scalable data-driven software, we would love to have a conversation with you. **Qualifications:** - Proficiency with Windows, Linux, Docker, and Kubernetes - Knowledge of SQL, Postgresql, Elasticsearch, File/NAS, Object Storage, Data Discovery, Data Science, OCR, NLP, Computer Vision, AI, Keyword search, Regex, Data Governance, GDPR, HIPAA, CCPA - Experience with Microservices based applications, ITILv4, Project Management, and Data Migration - Previous experience in presales and integration - Strong problem-solving, presentation, and communication skills - Ability to work effectively in a team environment - Background in data management or related field is a plus - Bachelor's degree in Computer Science, Engineering, or related field,
Data Dynamics is a global leader in enterprise data management, specializing in Digital Trust and Data Democracy. With a client base of over 300 organizations, including 25% of the Fortune 20, Data Dynamics is dedicated to establishing a transparent, unified, and empowered data ecosystem. The company's AI-powered self-service data management software is reshaping traditional data management practices by granting data creators of all proficiency levels ownership and control over their data. As a Regional Solutions Engineer at Data Dynamics, you will assume a pivotal role in technical pre-sales and customer management. Throughout the pre-sales phase, your responsibilities will involve engaging with customers to elicit business and technical requirements, coordinating technical information, delivering demonstrations, and showcasing product positioning capabilities. You will need to conduct thorough research into the specific needs of customers and assess the feasibility of their requirements. Your proficiency will be crucial in evaluating customers" business demands and translating them into technical and licensing requisites. In instances involving Proof of Concept (POC) or a sale, you will collaborate with the sales representative for review. For existing customers where upselling or cross-selling is the primary objective, you will closely collaborate with the customer success manager allocated to the account and the global support team as necessary. A seamless handover to the implementation team before the customer's go-live phase is essential to ensure a smooth customer experience consistently. A core expectation is your capability to independently set up and conduct demonstrations and POCs from inception. The POC process necessitates defining and agreeing upon success criteria with the customer and sales representative, alongside monitoring the progress towards meeting the customer's objectives. Post POC, you are expected to secure customer approval through a presentation to Data Dynamics Sales and the customers" decision-makers. Furthermore, following any sale globally, your presence may be required to support or lead the installation, contingent on time zones and available resources. Given your regular interactions with both new and existing customers, understanding their business visions, goals, technical capacities, and constraints, you are anticipated to advocate for customers" needs. Providing feedback on business processes, technical matters, or enhancements to the relevant teams within Data Dynamics is crucial. Driving continuous enhancements across all aspects of our operations is vital to achieving our ultimate goal of ensuring customer success and satisfaction. Your responsibilities extend to scriptwriting when necessary, bug reporting, software testing, personal activity tracking, CRM updates, and communication updates to management. Occasional travel for customer or internal meetings may be part of the role. At Data Dynamics, we are committed to delivering an exceptional customer experience and fostering a collaborative, challenging, fun, and innovative work environment. If you are a customer-centric and passionate individual with a strong commitment to building world-class, scalable, data-driven software, we would like to connect with you. Qualifications: - Proficiency in Windows and Linux, Docker, and Kubernetes - Knowledge of SQL, Postgresql, Elasticsearch, File/NAS, and Object Storage - Familiarity with Data Discovery, Data Science, OCR, NLP, Computer Vision, AI, Keyword Search, Regex, Data Governance, GDPR, HIPAA, CCPA - Experience with Microservices-based applications, ITILv4, Project Management, and Data Migration - Prior experience in Presales and Integration - Strong problem-solving, presentation, and communication skills - Ability to collaborate effectively in a team setting - Background in data management or related field is advantageous - Bachelor's degree in Computer Science, Engineering, or a related field,
Role As an IT Specialist you will be responsible for providing technical support and solutions to our organization's software and hardware systems and ensuring smooth operation of the company's IT infrastructure. You will work with cross-functional teams to implement and maintain software, troubleshoot technical issues, and manage network security. Location: Pune, India Responsibilities • Provide technical support to the company's software and hardware systems • Install, configure, and maintain software and hardware systems • Work with cross-functional teams to implement and maintain software • Troubleshoot technical issues related to software and hardware systems • Manage network security, including firewalls and VPNs • Monitor and maintain system performance to ensure optimal functionality • Create and maintain documentation for IT processes and procedures • Ensure compliance with industry regulations and standards • Evaluate and recommend new technologies to improve IT operations Required Skills and Experience • Bachelor's degree in Computer Science, Information Technology, or related field • 7-8 years of experience in IT support and operations • Strong technical knowledge of software and hardware systems • Experience in network security and firewalls • Ability to troubleshoot technical issues and provide effective solutions • Experience with Google, Outlook, Microsoft, Email Clients, Adobe, etc • Knowledge of industry regulations and standards • Excellent communication and interpersonal skills • Ability to work independently and as part of a team • Strong organizational and time management skills • Experience in software product company is preferred • Open to learn new skill sets . Desired Skills and Experience: • Optional experience, Virtualization, VPN, Hardware experience, Azure, AWS.
About The Role We are seeking a Senior Software Engineer to join our team in Pune. As a key member of our engineering group, you will play a crucial role in the entire software development lifecycle, from initial design to hands-on development. You will work with cross-functional teams to create innovative solutions that are scalable and reliable. This position involves not only writing code but also participating in code reviews, troubleshooting complex issues, and mentoring junior engineers to foster a culture of continuous learning and growth. Responsibilities Design, develop, and maintain high-performance, scalable, and reliable software systems. Collaborate with product managers and other engineers to translate business requirements into technical specifications and innovative solutions. Contribute to all phases of the software development lifecycle, including system design, architecture, and implementation. Conduct code reviews to ensure code quality, maintainability, and adherence to best practices. Troubleshoot and resolve complex software defects and production issues. Mentor and provide technical guidance to junior team members, helping to elevate the team's overall skill set. Stay informed about new technologies and industry trends, particularly in AI for development productivity, and apply them to improve our products and processes. Qualifications Strong expertise in software design, architecture, and development. Proficiency in foundational programming languages, specifically C, C++, and Java. Experience with design patterns and software engineering best practices. Familiarity with database technologies and data modeling. Excellent problem-solving and troubleshooting skills. Strong communication and collaboration abilities. Knowledge and experience in leveraging AI for productivity in development is a plus. Experience with cloud technologies and microservices architecture is a plus. Bachelor's degree in Computer Science, Software Engineering, or a related field. Professional certifications in software architecture or related domains are preferred. (ref:hirist.tech)
Overview We are seeking a skilled Platform Engineer to join our team and drive the development, deployment, and supportability of our Kubernetes-based microservices platform, deployed on-premises by customers. You will build comprehensive observability, enable log and report extraction for service cases without real-time access, and optimize our overuse of Kafka by integrating Redis and batch processing. This role requires expertise in Kubernetes, Azure DevOps, C++ support, deployment sizing, and designing for reliability, availability, and serviceability (RAS). Responsibilities Build Comprehensive Observability : Implement centralized metrics, logging, and tracing (e.g., Prometheus, Fluentd, OpenTelemetry) for .NET, Python, Java, C++, Kafka, and Redis, ensuring supportability in on-premises environments. Enable Log/Report Extraction : Design customer-facing tools (e.g., CLI scripts, Helm chart options) to collect and export logs/metrics from on-premises deployments for service cases, without real-time access. Optimize Kafka Usage : Audit and optimize Kafka configurations (e.g., topics, partitions, compression) to reduce metadata streaming overhead, monitored with Prometheus or Azure Monitor. Implement Alternatives : Integrate Redis (e.g., Azure Cache for Redis) for metadata caching/pub-sub and batch processing (e.g., Azure Data Factory, Kubernetes Jobs) for high-volume data, reducing Kafka dependency. Troubleshoot Customer Environments : Debug issues in on-premises customer deployments for services (C++, .NET, Python, Java), Kafka, and Redis, using exported logs and metrics. Enhance Product Supportability : Build Azure DevOps pipelines and installers (e.g., Helm charts) for consistent, supportable deployments, with documentation for customer support. Contribute to RAS : Own serviceability by building observability and diagnostic tools; support reliability/availability via Kubernetes optimization, autoscaling, and fault-tolerant designs. Enforce Standards : Implement and enforce structured logging (e.g., JSON with correlation IDs) and resource sizing standards via Azure DevOps pipelines. Optimize Deployment Sizing : Set Kubernetes resource requests/limits and autoscaling policies (e.g., HPA, VPA) for services, Kafka, Redis, and batch jobs, based on profiling. Evaluate Service Meshes : Assess service meshes (e.g., Linkerd) for improving microservice and data platform observability and communication. Support C++ Services : Assist developers in containerizing, deploying, and debugging C++ services, ensuring integration with observability, Kafka, Redis, or batch workflows. Automate with Azure DevOps : Build CI/CD pipelines in Azure DevOps for automated builds, tests, and deployments, integrating with AKS, Kafka, and Redis. Qualifications Experience : 3–5 years with Kubernetes, Azure DevOps (AKS, pipelines), and Kafka administration. Technical Skills : Expert in Kubernetes (CKA/CKAD preferred) and Azure DevOps (YAML pipelines, AKS integration). Proficient in observability tools (e.g., Prometheus, Grafana, Fluentd, OpenTelemetry, Azure Monitor) for metrics, logs, and tracing. Experience with on-premises Kubernetes deployments and log/report extraction for service cases. Proficient in Kafka optimization (e.g., topic management, consumer groups) and monitoring. Knowledge of Redis (e.g., Azure Cache for Redis, pub/sub) and batch processing (e.g., Azure Data Factory, Kubernetes Jobs). Familiarity with C++ build systems (e.g., CMake) and debugging (e.g., gdb) in Kubernetes. Proficiency in Kubernetes resource management and autoscaling (e.g., HPA, VPA). Scripting skills (e.g., Python, Bash) for automation, diagnostics, and log extraction. Customer Focus : Proven ability to troubleshoot on-premises customer environments and build supportable deployment and observability tools. Standards Enforcement : Experience enforcing logging, sizing, and data platform standards via Azure DevOps pipelines. RAS Expertise : Ability to design for serviceability (observability, diagnostics) and contribute to reliability/availability through platform optimization. Nice-to-Haves Experience with service meshes (e.g., Linkerd, Istio) and their integration with Azure. Familiarity with .NET, Python, or Java for developer collaboration. Knowledge of air-gapped Kubernetes deployments (e.g., Kubeadm, K3s).
Data Dynamics is a global leader in enterprise data management, focusing on Digital Trust and Data Democracy. Trusted by over 300 organizations, including 25% of the Fortune 20, Data Dynamics is committed to creating a transparent, unified, and empowered data ecosystem. The company's AI-powered self-service data management software revolutionizes traditional data management by empowering data creators of all skill levels to have ownership and control over their data. As a Storage Solutions Architect at Data Dynamics, you will play a crucial role in technical pre-sales and customer management for our data management software solution. Your responsibilities will include gathering business and technical requirements from customers, coordinating technical information, providing demonstrations, and showcasing the product's capabilities. Your role will involve researching customers" specific requirements and ensuring supportability. You will be expected to assess customers" business needs and translate them into technical and licensing requirements. In the case of a Proof of Concept (POC) or sale, you will collaborate with the sales representative to review the work. For existing customers targeted for upsell or cross-sell, you will work closely with the customer success manager and the global support team as needed. Additionally, you will facilitate a smooth transition to the implementation team for seamless customer experience. Your role will also involve setting up and conducting demonstrations and POCs independently. You will define success criteria with customers and sales representatives, track goal achievement during the POC process, and seek approval from customers post-POC. Following a sale, you may be required to assist or lead the installation based on time zones and resource availability. Given your daily interactions with customers, you are expected to advocate for them by providing feedback to relevant teams within Data Dynamics. Your input on business processes, technical issues, and enhancements is vital for driving continuous improvements and ensuring customer success and satisfaction. Other duties may include script writing, bug reporting, software testing, personal activity tracking, CRM updates, and communication updates to management. Occasional travel for customer or company meetings may be necessary. At Data Dynamics, we value creating exceptional customer experiences and foster a collaborative, challenging, fun, and innovative work environment. If you are customer-centric, passionate about building scalable data-driven software, and meet the qualifications outlined below, we would like to hear from you. Qualifications: - Proficiency with Windows and Linux, Docker, and Kubernetes - Knowledge of File/NAS and Object Storage, SQL, Postgresql, Elasticsearch - Familiarity with Data Discovery, Data Science, OCR, NLP, Computer Vision, AI, Keyword search, Regex, Data Governance (GDPR, HIPAA, CCPA) - Experience with Microservices-based applications, ITILv4, Project Management, Data Migration - Prior experience in Presales and Integration - Strong problem-solving, presentation, and communication skills - Ability to collaborate effectively in a team environment - Background in data management or related field is a plus - Bachelor's degree in Computer Science, Engineering, or related field,