• Design, develop, and optimize complex Calculation Views using SAP HANA 2.0 (HDI Containers, Web IDE, or Business Application Studio) • Create advanced Table Functions and Stored Procedures using SQLScript to support analytical and transactional workloads • Implement and maintain HDI Containers, Synonyms, and .hdbgrants configurations to ensure proper data access governance • Build, maintain, and troubleshoot robust data pipelines using SAP Data Services (BODS) to move data from S/4HANA to Google BigQuery • Design and implement delta-load frameworks that minimize data extraction overhead while ensuring data freshness • Manage BODS job servers and configure complex transformations to meet business and technical requirements • Leverage S/4HANA standard CDS Views and ODP (Operational Data Provisioning) frameworks for efficient, scalable data extraction • Navigate the S/4HANA data dictionary (e.g., ACDOCA, MATDOC) to identify optimal data sources and extraction patterns • Ensure extraction logic aligns with business processes (e.g., Sales Orders, Material Documents, Financial Postings) • Configure and optimize connectivity between SAP and Google Cloud Platform, utilizing Google Cloud Storage (GCS) for staging and the BigQuery Adapter for bulk loading • Design and implement file-based integration patterns using Parquet and CSV formats to maximize load performance • Optimize BigQuery table partitioning, clustering, and schema design to support high-performance analytics at scale • Continuously analyze and optimize data pipeline performance to achieve real-time or near-real-time data availability • Troubleshoot integration issues across SAP HANA, BODS, GCS, and BigQuery, ensuring minimal disruption to downstream consumers • Recommend architectural improvements that balance data freshness, system performance, and cost efficiency

Role Description This is a high-accountability environment where bold ideas drive real innovation for customers, partners, and the industry. The successful candidate will take ownership, deliver meaningful impact, and help shape the future of AI-ready connectivity. Lumen is seeking an experienced and hands-on Senior Lead Software Developer, AI Developer Enablement to help shape the next chapter of AI-assisted software engineering across the organization. This role will define, build, and scale reusable AI capabilities that: - Accelerate developer productivity - Reduce friction in everyday engineering work - Transform practical AI workflows into high-impact accelerators for teams across the enterprise The ideal candidate will bring deep expertise in: - Modern software development - AI-assisted engineering workflows - Developer tooling - Automation - APIs - Cloud platforms - Enterprise engineering practices This role will help make AI enablement practical, measurable, and transformational for developers across Lumen. Responsibilities - AI-Assisted Development Enablement: - Design and implement AI-enabled developer workflows for code generation, reviews, debugging, testing, documentation, research, incident triage, and platform navigation. - Establish scalable, secure, and repeatable patterns for AI adoption across engineering teams. - Develop reusable prompts, agents, integrations, and workflow accelerators that improve developer productivity. - Developer Productivity & Experience: - Identify development friction and translate it into high-impact AI solutions. - Partner with engineering teams to reduce toil, accelerate delivery, improve onboarding, and enhance the developer experience. - Define adoption metrics, feedback loops, and success measures. - Reusable AI Capabilities & Patterns: - Build and scale shared AI capabilities, reference architectures, prompt libraries, templates, and playbooks. - Partner with platform, architecture, and security teams to ensure AI solutions are maintainable and aligned with responsible AI practices. - Technical Knowledge & AI-Driven Support: - Improve access to engineering knowledge through AI-powered search, summarization, technical Q&A, documentation generation, and context-aware support. - Transform tribal knowledge, coding standards, platform guidance, and operational playbooks into scalable AI-assisted experiences. - AI Adoption & Community Enablement: - Drive AI adoption through demos, training, office hours, onboarding resources, reusable examples, and engineering community engagement. - Coach developers and technical leaders on practical AI usage and responsible engineering practices. - Technical Delivery & Project Execution: - Lead AI enablement initiatives from discovery through production. - Identify and mitigate risks related to security, data access, hallucinations, quality, compliance, integrations, user experience, and operational support. - Measurement & Continuous Improvement: - Measure AI impact through adoption, usage, cycle time reduction, automation, developer satisfaction, and quality improvements. - Use data and feedback to refine AI enablement strategies. - Leadership & Technical Influence: - Provide technical leadership and mentorship for AI developer enablement. - Guide teams on architecture, prompt engineering, agent workflows, and responsible AI. Qualifications - Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. Advanced degree or equivalent practical experience preferred. - 10+ years of experience in software development, platform engineering, developer productivity, AI enablement, automation, or related technical disciplines. - Strong hands-on experience designing, building, and supporting modern software solutions. - Experience with AI-assisted development workflows, coding assistants, generative AI capabilities, and applied AI solutions for engineering teams. - Deep understanding of the software development lifecycle, code quality, testing, documentation, secure coding, CI/CD, operational reliability, and production support practices. - Proven ability to translate ambiguous developer needs into practical, secure, scalable, and reusable technical solutions. - Experience partnering with cross-functional teams including engineering, platform, security, product, architecture, operations, and business stakeholders. - Strong communication skills with the ability to explain technical concepts and influence adoption. - Strong understanding of responsible AI, data protection, security considerations, governance, and risk management for enterprise AI adoption. - Demonstrated ability to mentor engineers, lead technical initiatives, and drive measurable improvements in developer productivity and engineering outcomes. Preferred Skills - Experience with LLM-based developer tools, AI coding assistants, agent frameworks, retrieval-augmented generation, vector search, tool calling, or workflow orchestration. Location This is a work from home position within the US.

• Effectively designs and codes R and SQL programs for assigned project(s) • Clean and validate RWD for consistency and reliability • Implement programming as specified from RWE protocol • Create or review and approve programming plans at study and project level • Maintain clear documentation of analytical programming and operational definitions • Develop dashboards, reports, and presentations to communicate findings • Collaborate with members of study teams to meet study and recurring report timelines

Role Description The key to our success is simple; we deliver the highest quality, on time, with passion and commitment, and live every day by a set of great values. We've built a company that fosters long-term careers in an environment of continuous learning, with cutting-edge benefits, tools, and resources. In addition, certifications that endorse our company as a great place to work. - Define scalable, secure microservices and micro frontend architectures. - Design cloud-native backends using Node.js, GraphQL, and AWS. - Establish technical direction, coding standards, and engineering best practices. - Mentor engineers and provide high-value architectural code reviews. - Drive adoption of AI-assisted development tools. - Build and integrate React-based micro frontends. - Promote test-first development, automation, and CI/CD practices. - Align technical strategies with business objectives. - Improve application performance, observability, and security. Qualifications - 7+ years of backend development experience with Node.js. - Strong full-stack experience with React, TypeScript, Node.js, and GraphQL. - Experience designing scalable microservices and serverless architectures. - Strong knowledge of GraphQL, REST, and event-driven architectures. - Hands-on experience with AWS Lambda, API Gateway, S3, DynamoDB, and RDS/Aurora. - Experience with PostgreSQL and DynamoDB. - Strong background in unit testing, CI/CD, and automation. - Experience with Jest and React Testing Library. - Experience using Claude Code, Amazon Q, Cursor or GitHub Copilot. - Proven ability to mentor engineers and act as a technical authority. - Advanced English and excellent communication skills. Requirements - #LI-REMOTE Benefits - Great Place To Work certification. - A company with more than 15 years of experience. - Work with world-class clients and long-term projects. - English scholarships for an external institute. - English classes with company teachers. - State-of-the-art tools and resources. - Certifications for your professional growth. - Recreation and leisure activities. - Compliance with the regulations and labor rights of your region. Company Description AssureSoft is a multinational software development and information technology company providing strategic consulting, technology services, and outsourcing business processes. We work to innovate and create quality software with motivated, passionate, and qualified teams that develop in an environment of professional, stable growth and continuous learning. Inclusive Opportunities for Every Talent. At AssureSoft, we believe that true innovation is born from diversity—of ideas, experiences, and perspectives. That’s why our hiring practices are inclusive and reflect a firm commitment to equity and equal opportunity. Here, every person—regardless of origin, gender, orientation, or beliefs—finds a space to grow, contribute, and be valued not only for their talent, but also for who they are.