About Wingify

If a flashmob could be manifested as a physical space, it would be our office. We are creative, self-organizing, tech-worshipping, mutually-respectful, data-obsessed people. When we are not building great products, we are simply being awesome!

Wingify’s flagship product VWO is a lucid platform for A/B testing tool that helps businesses improve their websites by tracking visitor behaviour, testing improvement ideas and targeting visitors for personalisation. It’s used by 4,000 businesses such as Target, Disney, Sears, Tinkoff Bank and Flight Centre amongst others. VWO is the world's easiest A/B testing tool. Tweak, optimize & personalize your website and apps with minimal IT help.

Wingify acquired US-based visitor analytics solution Navilytics. With this acquisition, Wingify has made significant progress in its transformation from being the first ‘no-coding required’ A/B testing tool in 2010 to becoming the first full-featured conversion optimization platform in the world.

Website

https://wingify.com/

Company Size

Mid-Sized

Working Days

5 days/week

Office Location

Remote Working

Role & Responsibilities

• Lead and mentor a team of data engineers, ensuring high performance and career growth.
• Architect and optimize scalable data infrastructure, ensuring high availability and reliability.
• Drive the development and implementation of data governance frameworks and best practices.
• Work closely with cross-functional teams to define and execute a data roadmap.
• Optimize data processing workflows for performance and cost efficiency.
• Ensure data security, compliance, and quality across all data platforms.
• Foster a culture of innovation and technical excellence within the data team.

Ideal Candidate

• 10+ years of experience in software/data engineering, with at least 3+ years in a leadership role.
• Expertise in backend development with programming languages such as Java, PHP, Python, Node.JS, GoLang, JavaScript, HTML, and CSS.
• Proficiency in SQL, Python, and Scala for data processing and analytics.
• Strong understanding of cloud platforms (AWS, GCP, or Azure) and their data services.
• Strong foundation and expertise in HLD and LLD, as well as design patterns, preferably using Spring Boot or Google Guice
• Experience in big data technologies such as Spark, Hadoop, Kafka, and distributed computing frameworks.
• Hands-on experience with data warehousing solutions such as Snowflake, Redshift, or BigQuery
• Deep knowledge of data governance, security, and compliance (GDPR, SOC2, etc.).
• Experience in NoSQL databases like Redis, Cassandra, MongoDB, and TiDB.
• Familiarity with automation and DevOps tools like Jenkins, Ansible, Docker, Kubernetes, Chef, Grafana, and ELK.
• Proven ability to drive technical strategy and align it with business objectives.
• Strong leadership, communication, and stakeholder management skills.

Preferred Qualifications:

• Experience in machine learning infrastructure or MLOps is a plus.
• Exposure to real-time data processing and analytics.
• Interest in data structures, algorithm analysis and design, multicore programming, and scalable architecture.
• Prior experience in a SaaS or high-growth tech company.

Perks, Benefits and Work Culture

Testimonial from a designer: 'One of the things I love about the design team at Wingify is the fact that every designer has a style which is unique to them. The second best thing is non-compliance to pre-existing rules for new products. So I just don't follow guidelines, I help create them.'