Role Description The Software QA Engineer builds product confidence by strengthening software quality across a construction management platform used to simplify complex project operations. This is a long-term global career with Emapta, offering premium work-from-home flexibility, career growth, and continuous upskilling. Qualifications - Bachelor's degree in Computer Science, IT, or related field, or equivalent work experience - 5+ years in software testing (manual and/or automated) - Proven experience designing and executing structured test plans - Experience in Application Support role is an advantage - Experience in API testing using Postman or scripting - Strong proficiency in Playwright for end-to-end (E2E) web test automation - Expertise in JavaScript or TypeScript (TypeScript strongly preferred) - Solid experience with test automation best practices (Page Object Model, fixtures, auto-waiting mechanisms, tracing, and reducing flakiness) - Proficiency in QA tools such as JIRA, TestRail (or similar test management tools) - Good understanding of version control with Git - Knowledge of CI/CD pipelines and integrating automated tests (e.g., GitHub Actions) - Familiarity with the SDLC and Agile/Scrum methodologies - Basic to intermediate SQL skills for backend data validation and verification - Understanding of web technologies (HTML, CSS, DOM) - High attention to detail and strong analytical thinking - Excellent communication skills for cross-functional collaboration - Time management and ability to work in fast-paced environments Requirements - Design, document, and execute comprehensive test plans, test cases, and test scripts - Perform functional, regression, integration, performance, and user acceptance testing - Conduct exploratory testing to uncover edge cases and usability issues - Validate software against functional and technical specifications - Identify, document, and track defects using bug tracking tools - Contribute to continuous improvement of testing practices and processes - Participate in requirements reviews to ensure testability from the outset - Review product specifications, requirements, and acceptance criteria to provide meaningful feedback - Provide feedback and assistance from a quality and usability perspective to product and development teams - Design, develop, and execute automation scripts is an advantage - Work closely with developers, development analysts, and project managers to align on quality objectives - Provide clear, data-driven reports on testing progress, defect metrics, and release readiness - Participate in Agile ceremonies such as sprint planning, stand-ups, and retrospectives Benefits - Work from home arrangement - Day shift schedule - Fixed weekends off - Government benefits - Eight days annual leave - Career growth opportunities - Diverse and supportive work environment - Unlimited upskilling through Emapta Academy courses

Role Description Join as a Senior Software Development Engineer in Test to help build scalable automation solutions for a next-generation cloud-based compute platform in the digital life insurance space. In this remote role, you will contribute to quality engineering initiatives, collaborate closely with cross-functional teams, and support the delivery of modern customer-facing products in a fast-growing and innovation-driven environment. What You Will Do - Maintain and extend existing test automation framework, as well as evaluation and build out of any new frameworks in support of automation needs and strategy; - Be an advocate and champion of a quality mindset across your team and the product – ‘build quality in’, ‘automation-first’ and ‘shift left test’; - Help define and implement performance/scale test strategy and capabilities; - Build, monitor and improve CI/CD pipelines; - Cultivate deep understanding of business needs and technical roadmap and set clear quality standards in collaboration with Product Managers and Engineering Leads. Qualifications - 5+ years of experience in delivering high quality products and facilitating automation tests in an enterprise software environment; - Experience writing end to end tests for a distributed system; - Experienced with Javascript and Node.js; - Knowledge of the complete QA cycle and experience with different types of testing, including experience building and adding onto an automation framework; - Experience building automated API tests and frameworks; - A tester mindset and a solid understanding of testing principles and methodologies; - Experience with CI/CD and Build pipelines; - Experience with RESTful APIs, JSON, Swagger or a similar framework; - Experienced with Git, source code repositories, and code commenting tools; - Experience with Continuous Integration tools (e.g. Jenkins, GitHub Actions); - Familiar with the services offered by cloud platform providers such as AWS; - Experience writing performance test scripts (e.g. Grafana K6); - Strong communication skills, and the ability to work collaboratively in a close-knit team; - Upper-intermediate English level. Nice to Haves - Experience with Playwright; - Experience writing Typescript code. Benefits - Professional growth: Mentorship, TechTalks, and personalized growth roadmaps. - Competitive compensation: USD-based pay with education, fitness, and team activity budgets. - Exciting projects: Modern solutions with Fortune 500 and top product companies. - Flextime: Flexible schedule with remote and office options.

Role Description We are looking for a Senior Software Engineer, Applied AI Services to build and scale end‑to‑end intelligent systems that power personalized experiences and HDP‑aligned capabilities. This is a hands‑on IC role where you’ll spend most of your time writing code and driving technical design for impactful production systems. You will operate at the intersection of: - Scalable backend services (APIs, events, data stores, cloud infrastructure) - Applied AI/ML systems (offline data ingestion, feature and signal pipelines, LLM/ML‑powered capabilities, evaluation frameworks, and AI‑driven workflows) You will help turn user intent into intelligence, safely bring new AI capabilities from 0→1, and scale them across Zillow’s shopper journey surfaces. Responsibilities - Lead end‑to‑end delivery of features — from early prototypes to production‑hardened systems. - Work deeply with AI/ML workflows while applying solid engineering and reliability practices. - Design, build, and maintain data pipelines (e.g., Spark, Databricks, Python, Kafka or equivalents) that turn raw events and signals into durable features and model inputs. - Develop and integrate ML/LLM capabilities (e.g., embeddings, similarity search, ranking, clustering, text generation) into backend flows and expose them via stable, well‑versioned services and APIs for product teams to consume. - Design and iterate on prompts, configurations, and AI workflows using notebooks and offline experimentation, and build automated evaluation systems (e.g., LLM‑as‑judge, regression suites, sampling pipelines) with clear quality metrics for accuracy, safety, latency, and cost. - Translate prototypes into reliable, observable production systems with solid tests, deployment pipelines, and on‑call readiness; own their operational health through runbooks, incident reviews, and continuous improvements, while optimizing for performance, reliability, and cost. - Collaborate closely with AI/ML and Agentic AI teams to bring 0→1 AI capabilities to customers and evolve them to 1→N, partner with SJS and HDP engineers on clean interfaces between offline pipelines, model outputs, and online APIs/events, and contribute reusable libraries, templates, and examples that help other engineers ship AI‑powered features faster. Qualifications - Strong proficiency in at least one backend programming language such as Python, Java, Kotlin, or similar. - Experience delivering scalable services or APIs to production in a cloud environment (e.g., AWS, GCP), including thoughtful data modeling and performance tuning. - Hands‑on experience with data processing or distributed systems (e.g., Spark, Databricks, Kafka or similar data pipelines). - Comfortable designing and consuming APIs (REST or GraphQL). - Experience with ML or LLM‑based systems and shipping at least one feature or capability to production. - Familiarity with embeddings, ranking, clustering, recommendations, or other ML applications that support personalization and search/browse experiences. - Experience with prompt engineering and LLM‑based product development, including safety/guardrail considerations and offline/online evaluation frameworks for AI‑powered features. - Comfortable in modern infrastructure environments (e.g., Kubernetes‑based deployments, event‑driven architectures, and observability stacks). - Track record of owning projects end‑to‑end — from requirements and design through implementation, rollout, operations, and cross‑functional collaboration with product, design, and data science partners. Benefits - Competitive base salary and benefits. - Eligible for equity awards based on factors such as experience, performance, and location. Company Description At Zillow, we’re reimagining how people move—through the real estate market and through their careers. As the most-visited real estate platform in the U.S., we help customers navigate buying, selling, financing, and renting with greater ease and confidence. - Zillow was named one of FORTUNE 100 Best Companies to Work For® in 2025. - Included on the PEOPLE Companies That Care® 2025 list. Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees.

Role Description We are looking for a P5 Principal Software Engineer, Applied AI Services to lead the architecture and evolution of our backend and AI systems across Shopper Journey Services and partner teams. In this cross‑cutting role, you will operate at the intersection of large‑scale backend systems and applied AI/ML systems. - Architect end‑to‑end applied AI services that connect offline data ingestion, AI/ML/LLM workflows, and online services and APIs. - Create reusable building blocks—such as libraries, templates, and reference implementations—for product teams to integrate AI into their services. - Lead conventional backend and platform excellence by architecting and guiding high‑scale microservices in a Kubernetes environment. - Drive AI/ML and LLM‑powered systems from prototype to production, including ingestion and transformation of training and inference data. - Partner with AI/ML, Agentic AI, and data platform teams to clarify ownership boundaries and interfaces. - Lead multi‑team technical initiatives that span SJS, AI/ML teams, HDP, and other backend groups. - Mentor senior engineers, run deep design reviews, and champion the use of AI as a force multiplier for engineering. This role has been categorized as a teleworker position. Teleworkers do not have a permanent corporate office workplace and instead work from a physical location of their choice, which must be identified to the Company. Employees may live anywhere in Mexico, with availability to travel to Mexico City. In addition to a competitive base salary and benefits, this position is also eligible for equity awards based on factors such as experience, performance, and location. Qualifications - 10+ years of software engineering experience with a strong track record of delivering and scaling complex, distributed backend systems. - Experience building large‑scale microservices and event‑driven architectures in cloud environments (AWS or equivalent). - Strong expertise in databases, caching, and data‑intensive services. - Experience with data pipelines and ML workflows (e.g., Databricks, Spark, Kafka, Airflow or equivalents). - Hands‑on experience building or scaling AI/ML or LLM‑powered systems in production. - Experience leading cross‑team technical initiatives as an IC. - Familiarity with personalization, recommendations, or user intent modeling domains. - Experience with modern API and integration layers, such as GraphQL. - Commitment to reliability, observability, and operational excellence. Benefits - Competitive base salary. - Benefits package. - Eligibility for equity awards based on experience, performance, and location. Company Description At Zillow, we’re reimagining how people move—through the real estate market and through their careers. As the most-visited real estate platform in the U.S., we help customers navigate buying, selling, financing, and renting with greater ease and confidence. - Zillow was named one of FORTUNE 100 Best Companies to Work For® in 2025. - Included on the PEOPLE Companies That Care® 2025 list. - Committed to creating an innovative, inclusive, and engaging culture.