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Job DescriptionSoftware Data Operations Engineer Plano (Dallas), TexasAbout MAQ Software MAQ Software enables leading companies to accelerate their business intelligence and analytics initiatives. Our AI-powered solutions enable clients to improve their productivity, reduce costs, increase sales, and build stronger customer relationships. Our clients consistently recognize us for providing architecture and governance frameworks using the Well-Architected Framework, implementing best practices to optimize reports, and building team capability through training programs. Clients choose to work with us because they are confident in our software delivery. Our confidence results from a commitment to consistent outcomes, reduced time to market, and a transparent workflow. Clients benefit from daily software updates, agile practices, domain expertise, AI adoption, and rapid feedback implementation. As a premier supplier to Microsoft for over two decades, MAQ Software clients gain extensive insights and engineering practices across the Microsoft platform and can improve their implementations with our breadth and depth of expertise. As one of the top 25 global partners, Microsoft has awarded MAQ Software eight specializations for meeting their highest standards of service delivery to Fortune 500 companies. With over 1,800 engineers, MAQ Software has globally integrated teams in Redmond, Washington; Plano, Texas; and Noida, Mumbai, and Hyderabad, India, delivering solutions with increased velocity and tech intensity. Our daily delivery and feedback model offers the flexibility to adapt solutions to changing business needs. MAQ Software’s dedication to customer success has led to sustained growth. Inc. magazine has recognized MAQ Software for sustained organic growth by listing us on the Inc. 5000 list twelve times —a rare honor. Engineering culture At MAQ Software, we foster a strong engineering culture with a can-do attitude. Our key managers come from excellent educational backgrounds and have significant experience in growing a company and mentoring software engineers. Due to our smaller size, we are agile and able to adopt the latest technologies and computing trends ahead of larger industry players. As a part of our globally distributed engineering team, our engineers gain exposure to the latest software engineering practices and fast development cycles, providing them with the opportunity to work on challenging technical problems that utilize cutting-edge technologies for fast-paced software delivery. Our collaborative and supportive work environment encourages innovation and growth, making our company an exciting and rewarding place to work. Examples of our projects: • We built an agentic AI solution that redefined event information access for a global technology leader, delivering instant, accurate answers to attendee questions at scale. Using Azure OpenAI Service, Azure AI Search, and Azure Machine Learning, combined with Retrieval-Augmented Generation (RAG), we engineered a secure, multilingual Copilot platform capable of processing data from 22 file formats across multiple sources. Our team leveraged Azure Databricks for advanced data transformation, Azure Front Door for global load balancing, and Microsoft Entra ID with Azure Key Vault for enterprise-grade security. The result: a system that served over 200,000 users, handled millions of interactions, and reduced support requests by 70%, setting a new benchmark for scalable, intelligent, and personalized event experiences., • We built a high-performance reporting solution that redefined data refresh efficiency for a leading office supply retailer, delivering near real-time insights and dramatically faster report access. By integrating Snowflake-managed Iceberg tables into Microsoft Fabric via OneLake shortcuts and leveraging Power BI’s Direct Lake mode, we built a scalable architecture that eliminated data duplication and significantly reduced latency. Our team leveraged Azure Data Lake Storage for external volume dumps, semantic modeling for streamlined analytics, and Fabric F256 SKU with autoscale for optimized compute. The result: report load times dropped by 80%, refresh cycles shrank from 10 days to minutes, and infrastructure costs fell by 60%, setting a new benchmark for enterprise-grade reporting performance., • We helped a global industrial technology leader transform its construction operations by replacing a fragmented, batch-based ERP system with a real-time intelligence solution built on Microsoft Fabric. The previous setup—based on Databricks and Snowflake—struggled with delayed data updates, high maintenance, and siloed systems. By implementing Microsoft Fabric’s Real-Time Intelligence capabilities, including Eventstreams, Reflex, and Power BI dashboards, we enabled real-time data ingestion, anomaly detection, and instant insights. The result: 20–30% cost savings, 50% less IT maintenance, and a 10x improvement in data latency. This empowered faster decision-making, proactive issue resolution, and a more agile, data-driven organization., • We helped a Fortune 500 office supply retailer modernize its reporting by migrating from MicroStrategy to Power BI. The legacy system was costly and inefficient, requiring over 150 duplicate reports and individual licenses for each user. Our solution consolidated these into just five dynamic Power BI reports, each customizable with bookmarks and filters. By leveraging Snowflake and Import Mode, we delivered a scalable semantic model and a user-friendly experience. The result: reduced license costs, faster reporting, and empowered business users with self-service analytics., • Collect requirement specifications to analyze business processes and determine the exact nature of user’s system requirements. Use tools like Microsoft 365 Copilot to summarize stakeholder input and map process flow from documents, emails, and meetings. Collaborate with module leaders and core team members to decide on system architecture., • Analyze existing system structures to identify opportunities for migration to cloud-based platforms. Use GitHub Copilot to assist in refactoring legacy code and Microsoft Azure AI services to evaluate cloud readiness and performance benchmarks., • Analyze user requirements and align them with available enterprise data sources to design solutions that deliver reliable performance and reasonable cost. Use tools such as GitHub Copilot to assist with query optimization and Azure DevOps MCP Server to validate data lineage and dependencies within project repositories., • Design processing steps and recommend system solutions based on user requirements, ensuring clarity and scalability.Develop specifications and workflow (25%), • Prepare software specifications, flow charts, and process diagrams for software programmers to follow. Use GitHub Copilot to generate code templates and automate systems documentation such as design specifications, user manuals, technical manuals, descriptions of application operations, and methodology documentation., • Analyze feasibility using commercially available software systems (e.g., Microsoft Azure versus Amazon Web Services) and reporting systems (e.g., Power BI versus Tableau).Analyze and verify implementation (25%), • Collaborate with systems analysts and programmers to develop data migration tools and define operational workflows for new systems., • Work with software developers to use GitHub Copilot for accelerating code development., • Set up the test environment, use GitHub Copilot to generate test cases, and use Playwright MCP to automate testing and compare data from multiple sources to verify reports for end users.Review implementation status and reporting (10%), • Participate in technical collaboration meetings and periodical reviews of implementation status., • Report weekly task plan to the project management team for implementation of custom software.Training and certifications (10%), • Annual salary range depends on education and experience., • Comprehensive medical, dental and vision insurance with employee premiums paid in full., • 401(k) retirement plan with 3% company match and immediate vesting, • Paid time off (three weeks)

Job DescriptionAbout GoodLeap:GoodLeap is a technology company delivering best-in-class financing and software products for sustainable solutions, from solar panels and batteries to energy-efficient HVAC, heat pumps, roofing, windows, and more. Over 1 million homeowners have benefited from our simple, fast, and frictionless technology that makes the adoption of these products more affordable, accessible, and easier to understand. Thousands of professionals deploying home efficiency and solar solutions rely on GoodLeap’s proprietary, AI-powered applications and developer tools to drive more transparent customer communication, deeper business intelligence, and streamlined payment and operations. Our platform has led to more than $30 billion in financing for sustainable solutions since 2018. GoodLeap is also proud to support our award-winning nonprofit, GivePower, which is building and deploying life-saving water and clean electricity systems, changing the lives of more than 1.6 million people across Africa, Asia, and South America. Postion Summary GoodLeap’s Business Solutions Business Unit is redefining how installers and homeowners interact with our point of sale financing platform. As a Staff Software Engineer, you will lead the design and delivery of our intelligent platform capabilities that power delightful, data-driven experiences.This is a high-impact role for a technical leader who thrives on marrying architectural excellence with AI/LLM innovation. You’ll help shape how our systems interact with and serve personalized, secure, and scalable content across mobile and web apps, all while mentoring others and influencing the broader engineering culture.Key Responsibilities • Design and lead backend architecture that supports AI/ML-powered features across mobile and API surfaces, • Own end-to-end technical strategy for embedding LLMs, embedding stores, and personalized content delivery, • Partner with product and design to scope features, validate feasibility, and ensure execution aligns with business impact, • Build tools and services to help other team members experiment and ship AI-enhanced features responsibly and efficiently, • Influence engineering standards and promote excellence in observability, performance, and security, • Mentor engineers across teams, helping them level up in areas of backend architecture, AI integration, and delivery quality, • Collaborate with cross-functional partners across QA, Mobile, Data Science, Product, and MarketingRequired Qualifications, • 8+ years of experience in backend development, with at least 2+ years working with AI/ML solutions or LLM, • Experience working with vector databases, embeddings, and semantic search, • Familiarity with MLOps, CI/CD for AI pipelines, and AI observability tools, • Strong experience in Node.js, TypeScript, GraphQL, and REST APIs, • Deep familiarity with AWS architecture — especially Lambda, ECS, S3, DynamoDB, API Gateway, and Step Functions, • Experience building and integrating LLM features (e.g., via OpenAI, Claude, Vertex AI, or similar), including prompt design, vector storage, and retrieval strategies, • Fluency in system design principles, scalability, reliability, fault-tolerance, • Ability to drive clarity and make architectural tradeoffs, balancing idealism with pragmatism, • Strong communication and collaboration skills, able to work effectively across product and engineering orgsPreferred Skills, • Experience building AI agents as code using solutions such as: Amazon Bedrock Agents, LangGraph, AWS Strands Agents, OpenAI Agents / Responses API, • Experience creating custom tools and integrating them into the agent’s control loop, • Experience working with Google’s A2A protocolSoft Skills & Cultural Fit, • Strong collaboration skills with a willingness to mentor junior developers and contribute to code reviews, • Problem-solving ability: capable of breaking down complex problems and taking ownership of tasks from start to finish, • Customer-centric mindset: ability to align development decisions with delivering an excellent user experienceOpportunities for Growth

Job DescriptionCompany Description Since opening our first self-storage facility in 1972, Public Storage has grown to become the largest owner and operator of self-storage facilities in the world. With thousands of locations across the U.S. and Europe, and more than 170 million net rentable square feet of real estate, we're also one of the largest landlords. We've been recognized as A Great Place to Work by the Great Place to Work Institute. And, our employees have also voted us as having Best Career Growth, ranked us in the Top 5% for Work Culture, and in the Top 10% for Diversity and Inclusion. We're a member of the S&P 500 and FT Global 500. Our common and preferred stocks trade on the New York Stock Exchange. Job Description We are seeking a seasoned Sr. Manager of Contact Center Technical Solutions to support the strategic roadmap and hands-on implementation of advanced contact center technologies, with a strong focus on GenAI-enabled omnichannel solutions. This role is pivotal in driving innovation, scalability, and operational excellence across voice, chat, IVR, WFM, analytics, CRM, and AI/ML platforms. As a cross-functional leader, you will guide the full lifecycle of solution delivery, from requirements gathering and call flow design to system integration and deployment. You will serve as the primary liaison between executive steering committee, strategic design leaders, business stakeholders, engineering teams, data scientists, and AI specialists to ensure alignment with enterprise goals and responsible AI practices. Key responsibilities include: • Product Support & Agile Delivery: Own and manage the product backlog, translate business needs into actionable user stories, and lead agile ceremonies to ensure timely and value-driven delivery. Ensuring the quality, performance, and reliability of AI systems, which includes developing test plans and integrating observability and monitoring tools. Translate business requirements into technical specifications and actionable user stories * Define technical acceptance criteria, implementation tasks, and sprint deliverables * Document system requirements, technical dependencies, and integration constraints * Create comprehensive test plans including unit, integration, and end-to-end testing strategies * Design observability and monitoring frameworks (logging, metrics, tracing, alerting) * Establish quality gates, performance benchmarks, and reliability standards * Draft technical documentation, API contracts, and implementation guides • GenAI Enablement: Guide the deployment of scalable GenAI solutions across channels, leveraging APIs, data flows, and telephony infrastructure to enhance customer experience and agent productivity. Validating end-to-end agentic systems to ensure they meet enterprise-grade reliability and scalability standards. Work with IT and vendors to deliver GenAI solutions for multi-channel deployment (web, mobile, voice, agent tools), API integration patterns for GenAI service consumption and orchestration, map data flows between LLMs, vector databases, knowledge bases, and enterprise systems, specify telephony infrastructure integration for voice-enabled AI applications, define end-to-end validation frameworks for agentic AI systems and establish enterprise-grade reliability patterns (error handling, fallbacks, circuit breakers) * Design scalability and performance optimization strategies (caching, load balancing, rate limiting) * Document technical requirements for customer experience and agent productivity enhancements • Technical Leadership: Apply deep expertise in contact center technologies to architect seamless integrations and support continuous optimization through performance monitoring and stakeholder feedback., • Compliance & Responsible AI: Ensure all solutions adhere to data governance, privacy, and security standards, incorporating model governance, bias detection, and risk mitigation strategies. Minimum Qualifications: • Bachelor’s degree in Computer Science, Data Science, Business Administration, Project Management, or a related field, or equivalent experience, • Strong practical knowledge about core Gen AI concepts. Certifications or boot camps focusing on Gen AI, machine learning (ML), and natural language processing (NLP), • Experience in creating and refining prompts for Gen AI models, • Master’s degree in Computer Science, Data Science, Business Administration, Project Management, or a related field, or equivalent experience, • Proven experience implementing conversational AI, generative AI, and agentic AI solutions in customer service environments, including evaluating and selecting appropriate LLMs tailored to specific use cases such as intent recognition, summarization, sentiment analysis, and autonomous agent workflows., • Familiarity with ethical AI considerations, such as mitigating bias and ensuring data privacy, • CSPO (Certified Scrum Product Owner), • PSPO (Professional Scrum Product Owner), • PMP (Project Management Professional), • Pragmatic Institute Product Management Certification, • SAFe Certifications such as SAFe PO/PM or SAFe Agilist, • PMI-CPMAI (Certified Professional in Managing AI) Candidates with equivalent experience in scaled agile environments or demonstrable expertise in agile product delivery are also encouraged to apply. System experience: • CCaaS Platforms: NICE CXone (preferred), Genesys Cloud, Five9, • Conversational AI: Cognigy (preferred), Google CCAI, Amazon Lex, Microsoft Bot Framework, • Workforce Management: NICE IEX (preferred), Verint, Genesys WFM, Calabrio,, • Analytics Tools: NICE Enlighten, CallMiner, Verint Speech Analytics, • Experience with cloud platforms (AWS, Azure, GCP) and cloud-native architectures, • Knowledge of telephony infrastructure, SIP, WebRTC, and voice networking, • Understanding of data analytics, business intelligence, and reporting tools (Power BI, Tableau, etc.), • Background in customer experience design or service design thinking Additional Information Public Storage is an equal opportunity employer and embraces diversity. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other protected status. All qualified candidates are encouraged to apply. Sponsorship for Work Authorization is not available for this posting. Candidates must be authorized to work in the U.S. without requiring sponsorship now or in the future. REF3492H