Apollo.io
Apollo. io is an all-in-one sales platform designed to streamline and enhance sales operations from lead generation to deal management. The platform offers tools for contact and account search, scores and signals analysis, inbound optimization, sales engagement, and more, leveraging AI and a living data network for comprehensive sales intelligence. Apollo. io is ideal for sales professionals, marketers, and revenue operations teams aiming to enhance productivity and efficiency by automating workflow tasks and integrating CRM systems. With a focus on improving sales performance through analytics and conversation intelligence, Apollo. io helps businesses find the right leads at the right time, nurture those leads effectively, and close deals efficiently.
Sales Engagement • Lead Generation • Predictive Analytics • Lead Scoring • Sales Strategy
Senior SDET
October 30, 2024
Apollo.io
Apollo. io is an all-in-one sales platform designed to streamline and enhance sales operations from lead generation to deal management. The platform offers tools for contact and account search, scores and signals analysis, inbound optimization, sales engagement, and more, leveraging AI and a living data network for comprehensive sales intelligence. Apollo. io is ideal for sales professionals, marketers, and revenue operations teams aiming to enhance productivity and efficiency by automating workflow tasks and integrating CRM systems. With a focus on improving sales performance through analytics and conversation intelligence, Apollo. io helps businesses find the right leads at the right time, nurture those leads effectively, and close deals efficiently.
Sales Engagement • Lead Generation • Predictive Analytics • Lead Scoring • Sales Strategy
📋 Description
• Define and implement the overall testing strategy and methodologies for the organization, ensuring alignment with business objectives and software development goals. • Drive the adoption of CI/CD practices, ensuring automated tests are efficiently integrated and executed in deployment pipelines. • Conduct research on emerging technologies, tools, and processes in software testing; evaluate and recommend their adoption to keep the organization at the forefront of testing best practices. • Lead root cause analysis for complex bugs and issues, working with development teams to ensure long-term solutions are implemented. • Collaborate with DevOps/Infra team to improve our existing infrastructure and solve daily operational challenges and improving Engineering productivity. • Work cross-functionally with various teams at Apollo. • Database support with MongoDB, ElasticSearch, RedisCache and BigQuery. • Define and implement the overall testing strategy and methodologies for the organization, ensuring alignment with business objectives and software development goals. • Lead the design and development of advanced automated testing frameworks and tools that can scale and adapt to various projects and technologies. • Collaborate with engineering leadership to integrate quality assurance processes early in the software development lifecycle. • Drive the adoption of CI/CD practices, ensuring automated tests are efficiently integrated and executed in deployment pipelines. • Serve as a thought leader in software testing, mentoring and guiding QE teams, and fostering a culture of quality and continuous improvement. • Conduct research on emerging technologies, tools, and processes in software testing; evaluate and recommend their adoption to keep the organization at the forefront of quality assurance practices. • Oversee and manage complex testing projects, coordinating with multiple teams to ensure timelines, budgets, and quality targets are met. • Lead root cause analysis for complex bugs and issues, working with development teams to ensure long-term solutions are implemented.
🎯 Requirements
• BS or MS degree in Computer Science, Computer Engineering or similar • 5+ years of experience in developing software, automated frameworks and test automation tools • Strong experience with Linux (Ubuntu) and various types of databases. You possess a good knowledge of MongoDB or ElasticSearch. • Experience with technologies like Docker, VPN, Kubernetes (strong experience with Kubernetes) • Experience with Distributed systems • Experience coding and programming using Java, Python, or similar programming languages • Knowledge of automation frameworks like Cypress and Rspec • Some exposure to a modern backend programming languages, preferably Ruby
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