Design, build, and maintain scalable test automation frameworks using tools such as Playwright, Appium, Selenium, Cypress, and others. Collaborate with cross-functional teams to define test strategies and ensure comprehensive test coverage. Develop and maintain automated test scripts in Java, JavaScript, and C#. Integrate automated tests into CI/CD pipelines to support continuous delivery. Analyze test results, identify root causes, and drive resolution of issues. Mentor and support entry level engineers, fostering a culture of continuous learning and improvement. Communicate effectively with stakeholders to report progress, risks, and quality metrics. Solid Manual testing skills. Ability to understand and articulate complicated requirements for test case creation.
<p>Our company is seeking a highly skilled and motivated Systems Engineer to join our technology team in New York City. This is an exciting opportunity for a proactive IT professional to play a critical role in maintaining and optimizing our IT infrastructure.</p><p><strong>Job Summary:</strong></p><p>As a Systems Engineer, you will be responsible for supporting, maintaining, and enhancing our IT systems to ensure seamless operation and exceptional reliability. Your knowledge and experience will help drive our technical initiatives and support our end-users efficiently.</p><p><strong>Responsibilities:</strong></p><ul><li>Manage and maintain IT infrastructure including servers, storage systems, network devices, and all related components.</li><li>Monitor system performance, promptly troubleshoot issues, and ensure high system availability and reliability.</li><li>Configure and administer Azure cloud services (virtual machines, storage, networking, security).</li><li>Oversee Windows Server environments (2016/2019/2022): installation, configuration, and ongoing maintenance.</li><li>Manage Active Directory, including user accounts, group policies, security permissions, and domain services.</li><li>Perform virtualization tasks using VMware: provisioning servers, managing virtual machines, and resolving escalated issues.</li><li>Administer Barracuda Backups Appliance and support data backup and recovery processes.</li><li>Maintain SAN Nimble storage systems to ensure performance and continuity.</li><li>Collaborate with teams to implement and manage secure file transfer solutions (MFT, SFTP).</li><li>Conduct system upgrades, patching schedules, and security updates based on best practices.</li><li>Provide timely technical support to end-users, resolving issues related to hardware, software, and network connectivity.</li><li>Create and maintain robust documentation for system configurations, operational procedures, and troubleshooting processes.</li></ul><p><br></p>
<p>We are seeking a highly skilled Data Engineer to design, build, and manage our data infrastructure. The ideal candidate is an expert in writing complex SQL queries, designing efficient database schemas, and developing ETL/ELT pipelines. This role ensures data accuracy, accessibility, and performance optimization to support business intelligence, analytics, and reporting initiatives.</p><p><br></p><p><strong><em><u>Key Responsibilities</u></em></strong></p><p><br></p><p><strong>Database Design & Management</strong></p><ul><li>Design, develop, and maintain relational databases, including SQL Server, PostgreSQL, and Oracle, as well as cloud-based data warehouses.</li></ul><p><strong>Strategic SQL & Data Engineering</strong></p><ul><li>Develop advanced, optimized SQL queries, stored procedures, and functions to process and analyze large, complex datasets and deliver actionable business insights.</li></ul><p><strong>Data Pipeline Automation & Orchestration</strong></p><ul><li>Build, automate, and orchestrate ETL/ELT workflows using SQL, Python, and cloud-native tools to integrate and transform data from diverse, distributed sources.</li></ul><p><strong>Performance Optimization</strong></p><ul><li>Tune SQL queries and optimize database schemas through indexing, partitioning, and normalization to improve data retrieval and processing performance.</li></ul><p><strong>Data Integrity & Security</strong></p><ul><li>Ensure data quality, consistency, and integrity across systems.</li><li>Implement data masking, encryption, and role-based access control (RBAC).</li></ul><p><strong>Documentation</strong></p><ul><li>Maintain comprehensive technical documentation, including database schemas, data dictionaries, and ETL workflows.</li></ul>
We are looking for an innovative Agentic DevEx Engineer to join our dynamic team in New York, New York. In this role, you will design and implement cutting-edge solutions that optimize engineering workflows and enhance artificial intelligence (AI) capabilities. Your expertise will drive the adoption of efficient development practices and ensure seamless collaboration between human engineers and AI agents.<br><br>Responsibilities:<br>• Establish and enforce clear architectural boundaries within the codebase, ensuring proper domain separation and eliminating redundant modules.<br>• Develop reproducible development environments with standardized commands for testing, linting, building, and other processes.<br>• Document and maintain the organization of the codebase using structured files that serve as the single source of truth.<br>• Design concise and high-signal guides to enhance agent accuracy and streamline their operational workflows.<br>• Build reusable libraries of agent skills that include well-defined, domain-specific functions with clear operational contracts.<br>• Implement deterministic workflows to allow agents to plan, read context, execute changes, and validate outputs effectively.<br>• Codify and enforce engineering standards through linters and automated checks to ensure consistency across the codebase.<br>• Improve validation infrastructure by establishing reliable test systems, reducing flakiness, and ensuring fast, accurate feedback from CI pipelines.<br>• Create and maintain documented workflows for common engineering tasks, enabling efficient collaboration between engineers and AI tools.<br>• Provide training and demonstrations to promote the adoption of AI collaboration patterns and ensure ease of use for the team.