About Us Ignatiuz is a digital transformation and intelligent workplace consulting company with offices in the US (PA) and India (Indore). Focused on accelerating digital performance through innovation and automation. Our team has worked with a variety of Fortune 500 clients and has a track record of delivering reliable, high-quality solutions that drive business success. Job Description ​ We are seeking an experienced and highly skilled Senior Database Administrator (DBA) to oversee and manage mission-critical Microsoft SQL Server database environments. This role involves administering various separate databases across virtual servers, configured for high availability with failover clustering. The ideal candidate will be proficient in proactive monitoring and alerting systems, particularly using Redgate, and will bring expertise in maintaining optimal performance, security, and uptime of all database services. Key Responsibilities: · Database Management & Administration: o Oversee and manage the daily operations of multiple SQL Server instances across virtual servers. o Ensure high availability and disaster recovery solutions for mission-critical databases. o Manage and configure SQL Server Always on Availability Groups and SQL Server Failover Clustering to ensure uptime and reliability. o Configure and maintain SQL Server Reporting Services (SSRS), SQL Server Integration Services (SSIS), and SQL Server Analysis Services (SSAS). o Perform regular database health checks and system audits to ensure the security and integrity of data. · Performance Tuning & Optimization: o Perform performance tuning and optimization across all SQL environments to enhance query performance and overall database health. o Proactively identify and resolve potential performance issues including index fragmentation, query optimization, and resource bottlenecks. o Utilize tools like Redgate, SQL Profiler, and SQL Server Management Studio (SSMS) to monitor and identify problematic queries and resources. · Monitoring & Alerting: o Implement and maintain comprehensive monitoring systems using Redgate, SQL Diagnostic Manager, and custom scripts to ensure proactive detection of database issues. o Set up alerting mechanisms to notify teams of critical incidents, database downtime, or performance degradation. o Implement real-time database monitoring and automate response mechanisms to mitigate downtime. · Backup, Recovery, & Security: o Manage regular database backups and implement disaster recovery strategies to ensure minimal downtime during system failures. o Automate backup and recovery procedures, ensuring integrity and availability of data. o Apply security measures including encryption, patch management, and user access controls to maintain data privacy and regulatory compliance. · Database Upgrades & Migrations: o Lead database migrations, upgrades, and patches to newer versions of SQL Server, ensuring minimal disruption to business operations. o Plan and execute database rollouts for new features, ensuring smooth transition and minimal impact on performance. · Collaboration & Support: o Collaborate closely with application development teams to ensure seamless integration of database systems with business applications. o Provide database support for troubleshooting and resolution of database-related issues impacting production environments. o Serve as a subject-matter expert (SME) for other teams on SQL-related technical matters, offering guidance and best practices. · Documentation & Reporting: o Maintain up-to-date documentation for database configurations, backup strategies, high-availability setups, and troubleshooting guides. o Develop and produce regular reports for database performance metrics, capacity planning, and optimization recommendations. · Automation & Scripting: o Develop and maintain scripts to automate routine database maintenance tasks, such as indexing, backups, and log file management. o Use PowerShell, T-SQL, or other scripting languages to automate daily database operations and improve system efficiency. ​ Requirements ​ 8+ years of hands-on experience with Microsoft SQL Server database administration. · Extensive experience managing SQL Server Failover Clustering, Always on Availability Groups, and high-availability database configurations. · Proficiency in database monitoring and alerting tools, especially Redgate, and experience with SQL Diagnostic Manager, SQL Profiler, or other third-party monitoring tools. · Strong experience in database performance tuning and query optimization using techniques such as indexing, query plans, and resource management. · Expertise in backup and disaster recovery strategies, including point-in-time recovery and transaction log management. · Proficiency in writing complex T-SQL queries, stored procedures, and scripts for automation and data manipulation. · Strong understanding of SQL Server security practices, including encryption, roles, and permissions. · Experience with database migrations, upgrades, and patching, particularly in high-availability environments. · Familiarity with virtualized environments and cloud database platforms such as Azure SQL, AWS RDS, or Google Cloud SQL. Preferred Qualifications: · Experience with PostgreSQL and/or NoSQL databases (e.g., MongoDB, DynamoDB). · Familiarity with cloud-based database platforms (Azure SQL, AWS RDS, etc.). · Experience working in virtualized environments (e.g., VMware, Hyper-V). · Exposure to DevOps practices and CI/CD pipelines involving database deployments. Show more Show less

You are looking for a Senior Associate - Salesforce Developer who will be responsible for designing, developing, and implementing customized Salesforce solutions. You should have a strong expertise in Apex, Lightning Web Components (LWC), and Salesforce integrations while adhering to best practices for scalability and performance. This role requires problem-solving skills, a proactive approach, and collaboration with cross-functional teams, including Salesforce Administrators, Business Analysts, and Architects. Your primary responsibilities will include Salesforce development and customization, integration and API management, data management and security, testing, deployment, DevOps, collaboration, and documentation. In terms of Salesforce development and customization, you will be developing, testing, and deploying Apex classes, triggers, batch jobs, and schedulers. You will also design and implement Lightning Web Components (LWC) and Aura Components, as well as create and maintain custom objects, fields, workflows, process automation, and validation rules. For integration and API management, you will be developing REST and SOAP API integrations with external systems, working with Platform Events, Change Data Capture, and Asynchronous Apex for efficient data processing, and collaborating on third-party integrations using tools like Mulesoft, Boomi, or ETL solutions. In terms of data management and security, you will ensure proper data governance, security, and compliance with sharing rules, profiles, and permission sets. You will also perform data migration and transformation using Data Loader, Workbench, or ETL tools, and optimize SOQL/SOSL queries to maintain governor limits. For testing, deployment, and DevOps, you will write and maintain Apex test classes to meet the required 75%+ code coverage, conduct code reviews, and enforce Salesforce best practices. In terms of collaboration and documentation, you will work closely with Business Analysts and Architects to understand business requirements, document technical solutions, design patterns, and best practices, and mentor junior developers and contribute to knowledge-sharing sessions. The primary skills required for this role include 4+ years of hands-on experience as a Salesforce Developer, strong expertise in Apex, Lightning Web Components (LWC), SOQL/SOSL, experience with Flows, Process Builder, and other declarative automation tools, hands-on experience with Salesforce security, experience with Salesforce API integrations, strong debugging skills, knowledge of Salesforce deployment tools, and more. Secondary skills that are good to have include experience with Sales Cloud, Service Cloud, or Experience Cloud, knowledge of DevOps tools, familiarity with integration platforms, understanding of Agile/Scrum methodologies, and strong problem-solving skills. Preferred certifications for this role include Salesforce Platform Developer I (PDI), Salesforce Platform Developer II (PDII), Salesforce JavaScript Developer I, and Salesforce App Builder. You should also have proven experience in business development, sales, or a related field, strong leadership and team management skills, excellent communication and presentation skills, the ability to develop and implement strategic plans, an analytical mindset, a proactive and results-oriented approach, familiarity with emerging technologies and industry trends, experience in building and managing effective sales teams, the ability to adapt to a fast-paced and dynamic work environment, strong negotiation and interpersonal skills, and knowledge of CRM software and sales management tools.,

Job Description Lead the design and development of robust machine learning and deep learning architectures tailored to solve real-world business challenges. Build and optimize models using frameworks like TensorFlow, PyTorch, and Keras, ensuring high accuracy and performance. Architect and oversee end-to-end data pipelines, including data ingestion, preprocessing, and feature engineering for AI workloads. Research, prototype, and productionize novel algorithms in areas such as computer vision, NLP, and reinforcement learning. Deploy models using cloud platforms (AWS/Azure/GCP), leveraging GPU/TPU infrastructure, and integrating into CI/CD workflows using Docker and other tools. Tune hyperparameters, manage model drift, and implement monitoring to ensure sustained model performance in production. Collaborate with engineering, data science, and product teams to align AI initiatives with business goals. Ensure robust documentation, version control, and adherence to MLOps principles throughout the development lifecycle. Stay ahead of trends in AI/ML and guide the team on best practices, tools, and frameworks. Requirements Required Skills and Qualifications: Education: Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related technical field. Experience: 4–5 years of experience in developing and deploying machine learning or deep learning solutions in real-world environments. Technical Expertise: Proficient in Python and ML libraries: NumPy, Pandas, Scikit-learn, Matplotlib, etc. Deep experience with TensorFlow, PyTorch, and Keras. Strong grasp of neural networks, CNNs, RNNs, Transformers, and GANs. Experience with GPU/TPU acceleration, model optimization, and distributed training. Familiarity with cloud platforms (AWS, Azure, or GCP) for scalable AI deployments. Hands-on with Docker, version control, and CI/CD tools for deployment automation. Experience in NLP, Computer Vision, or Reinforcement Learning projects is a strong plus. Preferred Traits: Strong problem-solving and architectural thinking Ability to work in agile, cross-functional teams Passion for innovation and applying AI to business use cases