Tech Holding

• Perform API testing for integrations using tools like Postman / REST clients. • Test routing logic. • Extend and maintain automated test suites workflows and APIs. • Build API automation frameworks (using JavaScript, Java, or Python). • Integrate automated tests into CI/CD pipelines for continuous validation. • Test success, failure, and edge-case scenarios (timeouts, retries, duplicate transactions). • Validate idempotency and error handling mechanisms. • Perform exploratory and manual testing for complex workflows. • Validate transaction data across APIs and databases. • Write and execute SQL queries for backend validation. • Conduct basic load and performance testing for payment APIs. • Validate system behaviour under high transaction volume. • Monitor and report latency, failure rates, and retries. • Support production deployment validation and pilot rollout. • Monitor transaction success rates and error logs post-release. • Collaborate on issue triaging and quick resolution.

• Design, develop, and maintain scalable data pipelines and ETL/ELT workflows on AWS. • Modernize legacy data platforms by migrating Apache Airflow/MWAA workloads to AWS-native orchestration services. • Migrate and optimize Amazon EMR workloads to AWS Glue. • Design and implement scalable data lake and data warehouse solutions using AWS services. • Develop robust data models, semantic layers, and standardized KPI definitions to support business analytics. • Build and maintain data quality, validation, anomaly detection, and monitoring frameworks. • Implement metadata management, data lineage, and data governance best practices. • Develop automated deployment pipelines and infrastructure using Infrastructure as Code (IaC). • Optimize data pipelines for performance, scalability, reliability, and cost efficiency. • Collaborate with business stakeholders to understand reporting requirements and translate them into scalable data solutions. • Support QuickSight semantic datasets, dashboard optimization, and Power BI migration initiatives. • Participate in UAT, production deployments, knowledge transfer, and post-production support.

• Lead technical discovery sessions, product demonstrations, proof-of-concepts, and pilot engagements for enterprise customers. • Partner with sales teams throughout the technical evaluation process to drive successful customer outcomes. • Support joint go-to-market initiatives and co-sell engagements with strategic partners, including AWS and Okta. • Support customer integrations, technical evaluations, and implementation discussions. • Collaborate with product and engineering teams to communicate customer requirements, feedback, and implementation challenges. • Help transition successful enterprise pilots into signed customer engagements. • Serve as a trusted technical advisor to enterprise stakeholders throughout the sales cycle.

• Validate end-to-end workflows across system components and services. • Perform API testing using tools like Postman or similar REST clients. • Verify request/response structures, data integrity, and service behavior. • Test different functional scenarios across APIs, including positive and negative cases. • Execute detailed functional, regression, and exploratory testing. • Identify edge cases, failure scenarios, and unexpected system behaviors. • Validate error handling, fallback mechanisms, and system resilience. • Ensure consistency across different environments and configurations. • Validate data consistency across APIs and databases. • Perform backend validation using SQL queries. • Verify logs, records, and system outputs for correctness. • Test system behavior under different conditions (e.g., retries, timeouts, partial failures). • Validate data flow across multiple services and components. • Ensure system stability during complex workflows. • Support pre-release validation and smoke testing. • Participate in production verification and post-release checks. • Collaborate with teams for defect triaging and resolution.

• Design, develop, and maintain scalable full-stack applications using Node.js and React.js. • Build and integrate REST APIs and cloud-based solutions. • Work with AWS services, including exposure to AWS Bedrock. • Integrate Generative AI capabilities into applications and contribute to AI-powered features. • Collaborate with cross-functional teams to deliver high-quality software solutions.

• Lead end-to-end project delivery using Agile methodologies (Scrum, Kanban, or SAFe). • Facilitate Agile ceremonies (Sprint Planning, Daily Stand-ups, Reviews, Retrospectives, PI Planning). • Collaborate with Product Owners, Business Analysts, Architects, and Engineering teams to ensure clear backlog prioritization and delivery alignment. • Manage project scope, timelines, risks, dependencies, and budget within agreed parameters. • Act as a servant leader, removing impediments and enabling teams to achieve their goals. • Ensure consistent communication and reporting with stakeholders, leadership, and clients. • Track and report project KPIs (velocity, burn-down charts, value delivered, predictability, etc.). • Promote Agile best practices and continuous improvement across teams and the organization. • Manage cross-functional, geographically distributed teams for seamless collaboration.

• Lead the UX discovery process, heuristic analysis of the current system, planner shadowing, and qualitative research to understand how expert users actually work. • Develop user personas, journey maps, and information architecture grounded in the realities of avails, rights, and conflict-check workflows. • Design and iterate on wireframes, interaction patterns, and clickable Figma prototypes that the team can put in front of real users before a line of production code is written. • Solve genuinely hard interaction problems: dense data tables, bulk operations across thousands of records, condition shaping at scale, version comparison, and surfacing complex rules logic in a way that's understandable. • Partner closely with engineering to ensure designs are technically feasible and implemented with fidelity, including building toward a reusable design system. • Define and run usability testing, task success rate, time on task, error rate — and use those findings to drive iteration, not opinion. • Ensure accessibility compliance (WCAG) is built in from the start. • Balance the power and flexibility expert users expect with the structure, consistency, and guardrails a purpose-built platform should provide.

• Assess and optimize Google Analytics tracking, including events, tags, and data collection strategies. • Develop a technical roadmap to align Google Analytics with business objectives. • Implement tracking enhancements using Google Tag Manager (GTM) and Google Analytics to improve data accuracy. • Conduct thorough testing (unit and end-to-end) to ensure data integrity and tracking efficiency. • Document technical implementations and provide detailed guidelines for future analytics improvements. • Collaborate with cross-functional teams (Marketing, Product, Data Management) to ensure seamless data integration. • Support enterprise data ingestion, ensuring Google Analytics data is correctly processed into the data warehouse. • Provide reports and insights, translating raw data into actionable business recommendations. • Monitor performance metrics and ensure the tracking system aligns with business KPIs.

• Build and maintain dashboards, reports, and ad hoc analyses in Tableau and Snowflake to drive data-driven decisions. • Lead hypothesis testing, A/B testing, regression analysis, and forecasting to inform product and marketing strategy. • Develop SQL/Python automation and workflow tools (Airflow, dbt) to monitor data quality and alert stakeholders in real time. • Drive insights on customer acquisition, retention, and user experience within a subscription-based model. • Partner with Engineering, Marketing, and Product to align business needs with data initiatives and drive execution. • Translate complex data into compelling narratives with actionable recommendations for stakeholders at all levels.

• Architect and build production React applications • Translate product requirements and Figma designs into polished UIs • Own the front-end layer of full-stack features • Build and maintain shared component libraries • Instrument and optimize performance • Write meaningful test coverage • Integrate AI-powered UI patterns • Participate in design reviews, architecture discussions, and code reviews