The Quality Assurance & Testing Lead will be responsible for all quality assurance & testing as it pertains to the Business Continuity Disaster Recovery (BCP DR) Project to successfully deliver and execute testing for the project. DR BCP specific responsibilities may include:<br>• Comprehensive DR test plan covering all applications.<br>• RTM linking DR requirements → expected outcomes.<br>• Test scripts, including connectivity, workflow continuity, and integration tests.<br>• Validate that failover/failback sequences operate as designed. <br>• Document test results by capturing the screenshots with date and timestamp. Identify and document DR-specific defects, including latency, connectivity, and configuration variances between prod and DR environments. Document the steps to reproduce defects, associated test data, screenshots, and other relevant information.<br>• Daily defect logs, dashboards, and remediation recommendations.<br>• Final DR readiness certification package: <br>o Screenshots, logs, results, timelines, and auditor ready documentation.<br>• Skilled in building and maintaining a comprehensive Requirement Traceability Matrix (RTM) that links requirements to validation outcomes.<br>• Proven ability to design effective test scenarios and test cases that fully cover key functional and DR-specific requirements.<br>• Adept at validating large, interconnected application environments with numerous upstream/downstream dependencies.<br>• Strong capability in developing structured, end‑to‑end test plans aligned to DR testing objectives.<br>• Outstanding written/verbal communication skills <br>• Ability to multi-task and work independently as needed to meet quality deliverables. <br>• Proficiency with Jira for test management, defect tracking, and reporting.
<p>We are a technology-driven organization building advanced, hardware-integrated software platforms used by customers in real-world environments. Our products combine data capture, analytics, and intuitive user interfaces to deliver reliable, high-impact solutions at scale.</p><p> </p><p>We’re hiring a <strong>Software Quality Assurance Engineer</strong> to join our team. This dual-focused role is responsible for fully automating the software testing suite while improving the operational efficiency of applications deployed in the field. The ideal candidate bridges quality assurance and technical support, with a strong emphasis on automation, diagnostics, and continuous improvement.</p><p> </p><p><strong><u>Key Responsibilities</u></strong></p><p> </p><p><strong>I. Software Quality & Automation Framework Development</strong></p><ul><li>Design, build, and maintain robust, scalable test automation frameworks.</li><li>Develop and execute automated UI and API tests using tools such as Selenium WebDriver and Postman.</li><li>Participate in software release cycles, performing validation and providing technical feedback to engineering teams.</li></ul><p><strong>II. Operational Efficiency & Tooling</strong></p><ul><li>Develop and maintain scripts (PowerShell, Bash) to automate system diagnostics, support tasks, and operational workflows.</li><li>Build lightweight internal tools to enhance diagnostic capabilities and streamline support processes (Python experience is a strong plus).</li><li>Document testing, automation, and support processes using tools such as Confluence, and manage workflows in Jira.</li></ul><p><strong>III. Technical Support & Cloud Operations</strong></p><ul><li>Resolve technical issues by providing timely, effective support via phone, email, and remote sessions, with a strong focus on Windows-based environments.</li><li>Use SQL and database expertise (including MySQL) to perform complex data queries and analysis while ensuring data integrity during troubleshooting.</li><li>Monitor and troubleshoot applications deployed in AWS environments, demonstrating foundational knowledge of EC2, S3, and CloudWatch.</li></ul><p> </p>
We are looking for an experienced AI/Data Governance Analyst to lead and implement enterprise-wide data management strategies. This role requires strong leadership and technical expertise to ensure data governance frameworks, data quality standards, and metadata practices are effectively deployed and maintained. As a vital part of the team, you will collaborate closely with business and technology stakeholders to drive data compliance and deliver trusted, high-quality data solutions. This is a long-term contract position based in New York, New York.<br><br>Responsibilities:<br>• Develop and execute comprehensive data management strategies, including governance, quality, and metadata initiatives.<br>• Establish and refine policies, standards, and frameworks to support data governance across the organization.<br>• Lead the implementation of data quality management processes, including rule definition, monitoring, and issue resolution.<br>• Partner with cross-functional teams to align data management efforts with organizational goals.<br>• Select and optimize tools and platforms for data governance and quality management.<br>• Serve as a thought leader to influence executives and stakeholders on prioritizing data as a strategic asset.<br>• Mentor and guide less experienced team members and data stewards to enhance team capabilities.<br>• Monitor and evaluate key performance indicators (KPIs) to measure the effectiveness of governance strategies and data quality.<br>• Ensure compliance with data regulations and support operational requirements within the business context.<br>• Drive adoption and continuous improvement of master data management practices.
<p><strong>Job Title</strong>: Subject Matter Expert (SME) – Mathematics or Chemistry</p><p><strong>Location:</strong> Remote</p><p><strong>Type:</strong> Contract</p><p><br></p><p>We are hiring 10 Subject Matter Experts (5 in Mathematics, 5 in Chemistry) to support advanced AI training and evaluation projects. This role involves creating and reviewing high-difficulty STEM content to improve AI reasoning quality. This is not entry-level annotation work. We are looking for experienced contributors who can operate as immediate reviewers.</p><p><br></p><p><strong>Responsibilities: Data Annotation Project</strong></p><ul><li>Write complex math or chemistry problems and detailed solutions</li><li>Produce clear, step-by-step reasoning</li><li>Review AI-generated answers for correctness and logical soundness</li><li>Identify subtle conceptual or reasoning errors</li><li>Rewrite and improve flawed responses</li><li>Provide structured feedback and quality control</li></ul>
<p>We are looking for a dedicated Hardware Analyst to join our team in New Jersey. The ideal candidate will be responsible for managing hardware inventory, performing quality checks, and ensuring operational efficiency in a manufacturing environment. This role requires a detail-oriented individual with the ability to follow technical documentation and perform repetitive tasks with precision.</p><p><br></p><p>Responsibilities:</p><p>• Receive and organize incoming stock according to established work instructions.</p><p>• Review pick sheets to determine required parts and retrieve them accurately.</p><p>• Interpret and utilize technical documents such as diagrams, assembly drawings, and test procedures.</p><p>• Operate tools to assemble or repair hardware components and products.</p><p>• Identify and address defective items following quality control procedures.</p><p>• Troubleshoot and resolve issues promptly using effective problem-solving techniques.</p><p>• Perform repetitive tasks while maintaining focus, whether seated or standing for extended periods.</p><p>• Prepare finished products for shipping or storage by packaging, weighing, and labeling appropriately.</p><p>• Ensure the workspace remains clean, organized, and safe at all times.</p><p>• Lift and handle objects weighing up to 50 pounds as needed.</p>
<p>Essential Duties and Responsibilities:</p><p> · Knowledge of database coding and tables; as well as general database management</p><p> · Understanding of client management, support, and communicating progress and timelines accordingly</p><p> · Organizes and/or leads Informatics projects in the implementation/use of new data warehouse tools and systems</p><p> · Ability to train new hires; as well as lead in training of new client staff members</p><p> · Understanding data schema and the analysis of database performance and accuracy</p><p> · Understanding of ETL tools, OLAP design, and data quality processes</p><p> · Knowledge of Business Intelligence life cycle: planning, design, development, validation, deployment, documentation, and ongoing support</p><p> · Working knowledge of electronic medical records software (eCW, Nextgen, etc) and the backend storage of that data</p><p> · Ability to generate effective probability modeling and statistics as it pertains to healthcare outcomes and financial risks</p><p> · Ability to manage sometimes lengthy and complicated projects from throughout the life cycle and meet the deadlines associated with these projects</p><p> · Development, maintenance, technical support of various reports and dashboards</p><p> · Knowledge of Microsoft® SQL including coding language, creation of tables, stored procedures, and query design</p><p> · Fundamental understanding of outpatient healthcare workflows</p><p> · Knowledge of relational database concepts and flat/formatted file processing.</p><p> · Possesses strong commitment to data validation processes in order to ensure accuracy of reporting (internal quality control)</p><p> · Possesses a firm grasp of patient confidentiality and system security practices to prevent HIPAA and other security violations.</p><p> · Knowledge of IBM Cognos® or other database reporting software such as SAS, SPSS, and Crystal Reports</p><p> · Ability to meet the needs of other members of the Informatics department to maximize efficiency and minimize complexity of end-user products</p><p><br></p><p>Requirements:</p><p> · Education: Bachelor's Degree</p><p> · Proven experience as a dbt Developer or in a similar Data Engineer role.</p><p> · Expert-level SQL skills — capable of writing, tuning, and debugging complex queries across large datasets.</p><p> · Strong experience with Snowflake or comparable data warehouse technologies (BigQuery, Redshift, etc.).</p><p> · Proficiency in Python for scripting, automation, or data manipulation.</p><p> · Solid understanding of data warehousing concepts, modeling, and ELT workflows.</p><p> · Familiarity with Git or other version control systems.</p><p> · Experience working with cloud-based platforms such as AWS, GCP, or Azure.</p><p><br></p><p><br></p>
The Business Analyst will work closely with project stakeholders, business users, and IT teams to define, document and manage requirements to ensure successful delivery for our Business Continuity Plan (BCP) Disaster Recovery (DR) migration project. BCP DR specific responsibilities may include:<br>• Perform application dependency mapping to identify upstream/downstream services for DR.<br>• Compile DR readiness requirements, smoke test scenarios for connectivity validation, access/identity requirements, and expected operational continuity outcomes.<br>• Develop or update DR runbooks and BCP operational procedures for Cloud-based recovery.<br><br>What does it take to be an IT Business Analyst? <br>Required:<br>• Experienced business analyst working on large scale projects. <br>• Ability to analyze current state processes (as-is) and help to design future state (to-be)<br>• Excellent requirements management<br>• Familiarity with various software development life cycles (e.g., Agile, Waterfall, etc.)<br>• Experience in business process mapping and workflow modeling<br>• Outstanding written/verbal communication skills and analytical skills. Functional and Non-Functional documentation. <br>• Serve as the liaison between the business stakeholders and IT teams. <br>• Ability to multi-task and work independently as needed to deliver a quality product<br>• Participate in design walkthroughs and reviews.<br>• Experience with helping to define test cases for User Acceptance Testing.<br>• Support QA and testing team to review test plans, validate requirements and participate in UAT. <br>• Experience with change management efforts: user training documentation and knowledge transfer.<br>• Experience working with Jira.<br><br>Preferred:<br>• Gas and electric utility experience<br>• Experience on a disaster recovery related project<br>• Experience with cloud migration project.
Join our team as a Business Intelligence Software Engineer and help design, build, and maintain innovative reporting and data-driven applications that power field operations, business units, and customer solutions. This is a hands-on coding role that requires strong technical judgment and collaboration with cross-functional teams. You’ll manage the entire development lifecycle, ensuring solutions are scalable, reliable, and aligned with business priorities. Key Responsibilities: Lead the Software Development Lifecycle (SDLC): Oversee all phases of BI application development, from concept through deployment and support. Hands-on Development: Build and maintain applications using Python (PySpark), SQL, and TypeScript/JavaScript. Technical Strategy & Architecture: Apply best practices for design, performance, and scalability. Quality Assurance: Establish testing frameworks, conduct code reviews, and maintain bug-tracking processes. Continuous Improvement: Identify and implement tools and methodologies to streamline development and increase system reliability. Collaboration: Work with internal stakeholders, data scientists, analysts, and operations teams to translate business needs into software solutions. Support & Maintenance: Provide ongoing support for newly developed applications, ensuring smooth integration with existing systems.
We are looking for an experienced Canvas LMS Support Analyst to provide high-quality application support for the Learning Management System (LMS) at a university in Hoboken, New Jersey. This position primarily involves Tier 2 and Tier 3 support, focusing on troubleshooting and administration of the Canvas platform. As a key resource for faculty and students, you will ensure smooth operations within a dynamic academic environment. This is a long-term contract opportunity with potential for growth into broader LMS and system initiatives.<br><br>Responsibilities:<br>• Deliver Tier 2 and Tier 3 support for the Canvas Learning Management System, addressing issues and resolving technical challenges.<br>• Assist faculty and students by troubleshooting application problems and ensuring efficient resolution.<br>• Administer and maintain the Canvas LMS to guarantee optimal functionality.<br>• Collaborate with internal teams to enhance user experiences and support academic goals.<br>• Provide guidance on system usage and best practices to faculty and staff.<br>• Utilize tools such as Active Directory and Workday to manage user access and system integrations.<br>• Diagnose and resolve hardware or software issues connected to the LMS.<br>• Identify opportunities for process improvements within the system administration workflow.<br>• Stay updated on emerging technologies and recommend upgrades or enhancements.<br>• Support potential expansions into Canvas Catalog and other LMS-related projects over time.
<p>Model Development & Maintenance</p><p> • Develop and maintain actuarial models and data-driven processes using Python, R, and SQL to support insurance pricing, reserving, and risk management.</p><p> • Implement and enhance month-end processes, rate change calculations, and ad-hoc analyses with a focus on completeness, accuracy, and consistency to ensure data is of the highest quality.</p><p> • Work with the Actuarial and Financial Planning and Analysis (FP& A) teams to automate and improve model performance using Python-based scripting and automation.</p><p> • Ensure accuracy, consistency, and efficiency of actuarial models and methodologies.</p><p> Traditional Actuarial Tasks</p><p> • Support reserving analysis to estimate unpaid claim liabilities primarily in partnership with internal and external actuaries.</p><p> • Develop and maintain loss development triangles and incurred but not reported (IBNR) calculations both based on financial and operational data (e.g., claims closing ratios).</p><p> • Support the development and validation of actuarial assumptions for pricing, reserving, and forecasting.</p><p> • Develop and regularly report on rate change calculations including bifurcation of exposure changes from pure rate by line of business.</p><p> Financial Modeling & Risk Assessment</p><p> • Conduct stress testing and scenario analysis to assess financial impacts.</p><p> • Develop, update, and maintain models for predictive analytics, profitability analysis, and business planning.</p><p> • Assist in forecasting financial performance and evaluating risk exposure.</p><p> </p><p> </p>
Job Overview We are seeking a highly skilled Full Stack Developer with expertise in Perl to join our team. The ideal candidate will be responsible for developing and maintaining a registration-based portal with a multi-tenant database structure. This application is hosted on AWS, using PostgreSQL as the primary database. This role involves full-stack development, including both back-end logic and front-end implementation. The position requires working within a Waterfall development environment, ensuring clear documentation, structured processes, and rigorous testing. Key Responsibilities Develop & Maintain: Design, develop, and maintain robust full-stack applications using Perl for backend logic. Database Management: Work with PostgreSQL, designing and optimizing database queries, ensuring efficiency in a multi-tenant architecture. AWS Hosting: Manage and optimize application hosting on AWS (EC2, S3, RDS, etc.). Front-End Development: Implement front-end interfaces and workflows, ensuring usability and performance. Code Review & Testing: Conduct thorough code reviews and ensure high-quality releases following Waterfall methodology. Collaboration: Work closely with business analysts, project managers, and QA teams to define requirements and deliver solutions. Security & Compliance: Implement security best practices, ensuring compliance with relevant industry standards.
<p>Join our dynamic technology team as a Site Reliability Engineer (SRE) or Platform Engineer, where you’ll play a central role in building, automating, and maintaining our modern infrastructure across both on-premise and cloud environments.</p><p><strong>Qualifications:</strong></p><ul><li>Bachelor’s degree in Computer Science, Engineering, or a related technical field. (Based on general knowledge)</li><li>3–5+ years of experience in SRE, Platform Engineering, or Systems Administration within fast-paced environments. (Based on general knowledge)</li><li>Strong Python scripting skills. (Based on general knowledge)</li><li>Deep hands-on experience with Kubernetes (deployment, management, troubleshooting); OpenShift experience is a plus. (Based on general knowledge)</li><li>Proficiency with Docker/Podman and internal image management. (Based on general knowledge)</li><li>Solid experience with Ansible and Terraform; Puppet knowledge is helpful. (Based on general knowledge)</li><li>Familiarity with CI/CD workflows; experience with ArgoCD (preferred) or Flux for GitOps. (Based on general knowledge)</li><li>Proficiency with Grafana and Prometheus; exposure to Grafana Cloud/Alloy is desirable. (Based on general knowledge)</li><li>Experience with incident management and on-call tools such as Rootly, Opsgenie, or PagerDuty. (Based on general knowledge)</li><li>Security-first mindset with exposure to DevSecOps practices, including SonarQube, SAST, and CVE scanning. (Based on general knowledge)</li><li>Proven experience with both on-premise and cloud infrastructure:</li><li><strong>On-Premise:</strong> Primary experience with Kubernetes clusters; familiarity with Proxmox is desirable.</li><li><strong>Cloud:</strong> AWS and GCP experience (with a growing footprint), managed via Terraform. (Based on general knowledge)</li></ul><p>If you’re passionate about automation, reliability, and working at the forefront of scalable infrastructure, we invite you to apply.</p>
<p>We are looking for a Systems Administrator to help drive technology modernization and operational excellence. We are seeking IT professionals with a strong background in systems administration or infrastructure operations, eager to support mission-critical initiatives and grow into senior infrastructure roles.</p><p><strong>Qualifications:</strong></p><ul><li>2–5 years of experience in systems administration or infrastructure operations; helpdesk/NOC backgrounds with relevant exposure also considered. (Based on general knowledge)</li><li>Proven expertise in Linux system administration. (Based on general knowledge)</li><li>Familiarity with enterprise infrastructure, including storage, virtualization, and networking. (Based on general knowledge)</li><li>Hands-on experience with monitoring systems such as Zabbix, Grafana, or Prometheus. (Based on general knowledge)</li><li>Basic scripting skills (e.g., Bash, Python) and a strong interest in further developing automation capabilities. (Based on general knowledge)</li><li>Excellent written communication for documentation and process development. (Based on general knowledge)</li><li>Ability to respond quickly and decisively during support rotation and system issues. (Based on general knowledge)</li><li>Comfortable leveraging AI tools for troubleshooting, documentation, and automation with a disciplined approach to validating outputs. (Based on general knowledge)</li><li>Growth mindset: eagerness to learn, develop, and advance into senior infrastructure roles over time. (Based on general knowledge)</li></ul><p><br></p>
We are looking for an experienced DevOps Engineer to join our dynamic team in New York, New York. In this role, you will play a key part in optimizing and automating our infrastructure to ensure seamless operations. The ideal candidate is passionate about cloud technologies, automation, and driving efficiency across development and deployment processes.<br><br>Responsibilities:<br>• Develop and maintain scalable infrastructure solutions using cloud platforms such as AWS.<br>• Automate deployment pipelines to enhance efficiency and consistency.<br>• Manage container orchestration systems, including Kubernetes, to ensure application reliability.<br>• Implement configuration management tools like Ansible to streamline system setup and maintenance.<br>• Utilize Terraform to define and provision infrastructure as code.<br>• Monitor system performance and troubleshoot issues to ensure high availability.<br>• Collaborate with development teams to integrate DevOps practices into workflows.<br>• Identify opportunities for process improvements and implement solutions.<br>• Ensure security and compliance standards are adhered to across infrastructure.<br>• Document processes and share knowledge to promote team growth.
