Role Description We are seeking an experienced Lead Rulebook Configurator to lead the configuration and implementation of insurance products, pricing models, underwriting rules, and workflow components within Verisk Rulebook / Sequel Rulebook. The role sits at the intersection of insurance domain, pricing model interpretation, rules configuration, business analysis, and stakeholder engagement. The individual will work closely with senior stakeholders from Underwriting, Actuarial, Operations, Product, IT, and Change teams, primarily in the London Market / specialty insurance environment. The ideal candidate will have a strong configuration mindset, excellent analytical ability, hands-on experience with Rulebook or similar rules/rating platforms, and the confidence to translate complex Excel-based pricing models and underwriting guidelines into structured, governed Rulebook configurations. Key Responsibilities - Lead the configuration of insurance products, rating algorithms, underwriting rules, referral rules, eligibility rules, authority checks, and workflow logic within Rulebook. - Convert Excel-based pricing models into Rulebook-compatible configuration components, ensuring calculation accuracy and business alignment. - Configure rating tables, factors, modifiers, risk attributes, premium calculations, validations, and business rules. - Configure and maintain Rulebook pages, page flows, page linking, product structures, and user journeys. - Support document generation logic, quote outputs, pricing worksheets, and downstream data outputs where applicable. - Ensure reusable configuration patterns are applied across products/classes to improve maintainability and consistency. Business and Domain Analysis - Work with underwriters, actuaries, operations SMEs, and product owners to understand pricing intent, risk appetite, referral logic, and underwriting guidelines. - Challenge and clarify ambiguous business rules before configuration. - Translate business requirements into clear configuration specifications and implementation-ready artefacts. - Identify gaps, inconsistencies, or risks in pricing spreadsheets, underwriting guides, or product documentation. - Support impact analysis for pricing changes, product enhancements, and model version updates. Stakeholder Management and Communication - Act as a primary configuration lead in workshops with senior London-based business stakeholders. - Explain configuration design, rule logic, testing outcomes, issues, and trade-offs in clear business language. - Facilitate discussions between business SMEs, actuaries, developers, testers, architects, and delivery leads. - Provide structured status updates, risk/issue summaries, and decision points to project leadership. - Ensure business stakeholders understand how configured rules reflect their underwriting and pricing requirements. Testing, Validation, and Governance - Define and execute rule configuration testing, scenario testing, regression testing, and spreadsheet-to-Rulebook reconciliation. - Validate Rulebook outputs against source Excel models, expected pricing outcomes, underwriting rules, and edge-case scenarios. - Support SIT, UAT, defect triage, root-cause analysis, and defect resolution. - Maintain configuration documentation, traceability, version control, and audit evidence. - Ensure configurations support governance, auditability, and controlled deployment of pricing/underwriting changes. Technical Skills - Mandatory: - Strong Rulebook configuration mindset: ability to translate business rules into structured configuration. - Strong Excel skills, including ability to understand complex formulas, rating sheets, lookup tables, factors, and calculation flows. - Good understanding of XML and structured configuration files. - Ability to understand rule hierarchies, conditional logic, validations, decision trees, and calculation dependencies. - Experience with configuration testing, regression testing, and price-output reconciliation. - Familiarity with JIRA, Confluence, Azure DevOps, or similar delivery tools. - Ability to document configuration logic clearly. - Desirable: - Understanding of APIs, JSON, SQL, or data mapping. - Exposure to rating services, quote/bind platforms, broker portals, or delegated authority platforms. - Experience with document production, workflow configuration, or downstream integration. - Familiarity with rule deployment, release management, and environment promotion. Insurance Domain Knowledge - Insurance product structure - Submission, quote, bind, endorsement/MTA, renewal workflows - Rating factors, adjustments, deductibles/excesses, limits, commissions, taxes/fees where applicable - Underwriting appetite and referral logic - Authority limits and exception handling - Pricing model governance and audit trail - Deep actuarial expertise is not required, but the candidate must be able to understand pricing spreadsheets and hold credible conversations with pricing stakeholders.

Role Description We are looking for a highly skilled GPU Compute, MLIR Compiler, and Kernel Optimization Engineer with deep expertise in GPU compute, MLIR-based code generation, and end-to-end performance optimization for AI workloads. In this role, you will design, optimize, and deploy high-performance GPU compute kernels, build and extend MLIR compiler backends, and collaborate closely with ML, runtime, and hardware teams to push the limits of performance on modern GPU architectures. - Develop and optimize GPU compute kernels targeting OpenCL and Vulkan compute backends for high-throughput AI/ML workloads. - Design, build, and extend MLIR dialects across multiple abstraction levels—including frontend dialects, graph-level IR, tensor IR (e.g., Linalg, Tensor, TOSA), and runtime/low-level dialects—to enable efficient end-to-end model compilation. - Implement and maintain MLIR-based compiler passes and transformations, including tiling, fusion, bufferization, vectorization, and lowering pipelines targeting OpenCL and Vulkan GPU backends. - Conduct profiling and bottleneck analysis of compiled kernels using GPU counters and vendor-specific profilers, and drive performance improvements through compiler-level optimizations. - Build and maintain GPU runtime infrastructure for both OpenCL and Vulkan, including memory management, pipeline setup, command buffer orchestration, and resource scheduling. - Develop and extend code generation pipelines, enabling automatic lowering from tensor IR through MLIR to efficient OpenCL and Vulkan GPU kernels. - Implement performance-critical schedules—including tiling, loop fusion, parallelism, and caching strategies—within MLIR-based backends targeting OpenCL and Vulkan runtimes. - Collaborate with framework teams to optimize end-to-end model lowering for computer vision and LLM workloads using MLIR compilation stacks. - Design and implement robust compiler and runtime components using modern C/C++, leveraging advanced programming paradigms for high-performance systems. Qualifications - Strong hands-on experience with the MLIR framework, including authoring and extending custom dialects, writing compiler passes, and building end-to-end lowering pipelines. - Deep expertise across MLIR abstraction levels: - Frontend dialects – ingestion and representation of ML models (e.g., TOSA, StableHLO, ONNX-MLIR) - Graph-level IR – high-level operation fusion, shape inference, and graph transformations - Tensor IR level – structured operation representation using Linalg, Tensor, and Vector dialects; tiling and fusion strategies - Runtime/low-level dialects – Bufferization, MemRef, SCF, GPU, and LLVM dialects for final code generation - Strong hands-on experience in OpenCL programming, including kernel development, memory model, work-group/work-item optimization, and OpenCL runtime management. - Solid understanding of Vulkan compute programming, including descriptor management, compute pipelines, synchronization primitives, and Vulkan runtime internals. - Strong understanding of GPU architecture, memory hierarchies, and asynchronous compute. - Proficiency in C/C++ for system-level development. - Experience with kernel profiling and bottleneck analysis on GPU platforms. - Strong background in machine learning fundamentals, covering both Computer Vision (CV) and Large Language Model (LLM) workloads. Requirements - Must-have skills: gpu computing, MLIR, C/C++ - Good-to-have skills: vulkan, Kernel, OpenCL Benefits - Salary range: Rs 2000000 - Rs 10000000 (ie INR 20 - 100 LPA) - Min Experience: 3+ years - Location: India - Job Type: full-time

Title: Senior Technology Engineer Location:Pittsburgh, PA Job Code:299828 Posted:Aug 19, 2025 Description: Mastech Digital provides digital and mainstream technology staff as well as Digital Transformation Services for all American Corporations. We are currently seeking a Senior Technology Engineer for our client in the Banking domain. We value our professionals, providing comprehensive benefits and the opportunity for growth. This is a Contract to Hire position, and the client is looking for someone to start immediately. Duration: 12 Months Contract to Hire Location: Pittsburgh, PA – open for Dallas, TX or Strongsville, OH. Ability to work remote: Hybrid - 3 days in office, 2 remote REQUIRED Salary: $120,000-$130,000/Annually Role: Senior Technology Engineer Primary Skills: JavaScript Role Description: The Senior Technology Engineer must have 6-8 years of experience. Required Qualifications: - Bachelor’s degree (Computer Science, Software Engineering, or relevant field) or equivalent work experience required. - ServiceNow background, Prior Banking - 6-8 years of experience in designing and developing Order Guides, Catalogs, and Record Producers. - Build and maintain integration with other systems via REST/SOAP API, MID Servers, and Integration Hub. - Strong knowledge of ITSM modules: Change, Incident, Problem, and Knowledge. - Hands-on experience customizing ServiceNow and implementing HRSD, Employee Center Pro, and Agent Workspace. - Experience with Integrated Risk Management and Service Portfolio Management. - ServiceNow System Administration Certified (preferred). Duties: - Design and develop Order Guides, Catalogs, and Record Producers. - Implement HRSD, Employee Center Pro, and Agent Workspace with strong ITSM knowledge (Change, Incident, Problem, Knowledge). - Build/maintain integrations via REST/SOAP API, MID Servers, and Integration Hub. - Customize ServiceNow with UI Policies, Client Scripts, Catalog Scripts, Business Rules, Script Includes, Scheduled Jobs, and Glide/JavaScript/Ajax. - Service Portfolio Management (SPM): Agile Development, PPM, Demand, Resource, Innovation, Cost, Test, Portfolio & Strategic Planning, Investment Funding, Scenario Planning. - Integrated Risk Management (IRM): Policy & Compliance, Risk, Audit, Cybersecurity Dashboards, Continuous Monitoring, Regulatory Change, Use Case Accelerators, GRC Metrics, and Compliance Case Management. Education: High School Degree and Bachelor’s degree (Computer Science, Software Engineering, or relevant field) or equivalent work experience required. Experience: Minimum 6-8 years of experience Relocation: This position will not cover relocation expenses Travel: No Local Preferred: Yes Note: Must be able to work on a W2 basis (No C2C) Recruiter Name: Preeti Sharma Recruiter Phone: 412.515.8261 Benefits: We have various coverages and additional benefits to choose from: - Medical, Dental (Including Ortho) & Vision Insurance (Option to Enroll). - Paid Leaves (Wherever applicable). - Life & Disability Coverage (Upon eligibility). - 401K Option, Education Assistance Program and more. Mastech Digital is an Equal Opportunity Employer - All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

Role Description At Mercury, we are committed to crafting an exceptional banking experience for startups. Our product engineering group is growing and we’re looking to hire senior full-stack engineers. We’re a team of pragmatic, product-minded engineers motivated by the desire to create lovable products that rescue our customers from frustrating, expensive legacy industry tools. As part of this role, you will: - Feel a strong sense of product ownership and actively seek responsibility – we often self-organize on small/medium projects, and we want someone excited to help shape and build Mercury’s future. - Work in an autonomous environment on a close-knit team, with a “startup within a startup” feel. - Partner closely with designers and product leaders to ship lovable experiences. - Join a team of experienced product engineers within one of our Mercury product groups such as Banking, Experiences, Expansion, or Risk. Qualifications - 3-7 years of full-stack development experience. - Knowledge of or excitement to learn Haskell, React, TypeScript, and Redux. - Empathizes with users and can channel their perspective to build lovable products. - Can balance tradeoffs and find creative solutions to accomplish goals. - Actively incorporates AI tools into their workflow and is excited about leveraging them to amplify their impact. - Communicates and collaborates effectively with peers and cross-functional counterparts. Requirements - If this role interests you, we invite you to explore our public demo at demo.mercury.com. Benefits - The total rewards package at Mercury includes base salary, equity (stock options/RSUs), and benefits. - Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. - New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers. - Our target new hire base salary ranges for this role are the following: - US employees (any location): $166,600 - $208,300 - Canadian employees (any location): CAD 157,400 - 196,800