The Role

At Synthesis we push the boundaries of what's possible with Open Data. It's a fast-paced, rapidly-changing environment at the intersection of data science, cultural analysis & brand consultancy. We call this Open Source Intelligence for brands.

As a Senior Software Engineer at Synthesis, you will help architect, build, and deploy in-house data analytics applications, ranging from utility packages to large-scale distributed systems. This helps our data scientists & cultural strategists to deliver robust consumer insights and decision frameworks to marketing professionals. You will also help provide technical leadership to the business and drive innovation. We work in a small, tight-knit software engineering team following an Agile process with a strong focus on peer reviewing, where you'll have the opportunity to learn and contribute immediately. If you love building data-intensive applications and solving business problems, come join our team!

Key Responsibilities.

• Build prototypes and proof of concepts to evaluate tech opportunities
• Translate product designs and ideas into extensible, scalable, and production-ready solutions
• Own design, development and maintenance of our APIs and Databases
• Champion best practices of software development and cloud architecture
• Mentor junior engineers and other technical members of the team

What you'll need.

• 5+ years of experience as a Software Engineer. Experience in technical leadership, mentoring junior engineers, and setting development standards is preferred.
• Experience developing scalable web applications in Python, TypeScript, or NodeJS, with frameworks or libraries like FastApi, Flask, Express, or NestJS.
• Experience with relational databases and ORMs in application code. Working with PostgreSQL is a plus.
• Experience with cloud providers such as Google Cloud or AWS.
• Experience with containerization using Docker and Kubernetes.
• Experience with CI/CD and Infrastructure as Code (IaC) is a plus.

Why Synthesis

Synthesis is known for delivering exceptional data models and products which unravel the stories of the people they represent and inspire our partners with the confidence to act.

Partnering with the world's most successful brands in fashion, beauty, content and travel, we're building specialised solutions to solve problems of planning for the future. Rooted in culture, tested in data science, we spot and anticipate changes and connections in culture to inspire action and help brands grow with a new wave of audiences. After three years of iteratively developing and perfecting these models, we are preparing to launch a series of products over the next 5 years.

We will be at the forefront of a shift towards leveraging open data to develop rich, honest, human insight. In an industry that has for too long relied on question-response approach to understanding changes in behaviour, we prioritise layering behavioural, performative, search and sales data to highlight the discrepancies between what people say they do and what they actually do. We see a $40 billion industry that has failed to innovate for too long and we are just getting started.

About Synthesis

We do Human Centred Data Science.

It's a way of reimaging open data sources from a human perspective. It prioritises behaviour and context to unravel why people do what they do, at scale. By blending data science with human and market intelligence we help our clients spot early signals of change and predict implications for business.

Diverse by design.

Synthesis are a team of digital researchers, gaming designers, data forecasters, network scientists, ethnographers and engineers. Cultural and category experts train our models - ensuring they detect measures that matter most - whilst data scientists uncover patterns the eye cannot see.

Building bespoke, comprehensive datasets where none exist.

We work with open data - search, ratings, social, sales. By layering many signals we build robust and relevant data-driven stories around brands, business and consumer behaviour.

Asia first, global applied.

Our products must work in Asia first - the hardest test markets. We continue to make huge investments in language and capabilities and across Asian specific platforms. Now applied in Europe, LatAm and USA.