Senior Software Engineer

At Synexus, we’re helping advertisers rethink how they show up in the news ecosystem. After a successful investment round, we are now in the process of launching a new brand and product to the Ad tech market.

Today, blunt keyword blocking causes brands to avoid entire news sites — even when the content is high‑quality, balanced, and aligned with their values. It’s like tossing out a whole basket of fruit just because one apple has a bruise.

Our technology changes that. Instead of just scanning keywords, Synexus analyzes how topics are being discussed. This allows advertisers to safely reintroduce premium journalism into their media plans — driving better reach, performance, and efficiency without added risk.

At Synexus, you’ll be surrounded by people who want to improve everything and support everyone around them. Our team is passionate about our mission, are experts in their fields and are collaborative problem solvers.

We model the following behaviors across the organisation:

• Positivity – We approach challenges with optimism, realism, and a focus on progress.
• Respect – We create an environment where everyone feels heard, valued, and safe to contribute.
• Accountability – We take responsibility, keep our commitments, and support each other in delivering results.
• Outcomes Focus – We prioritise impact over process, keeping customers, employees, and shareholders at the heart of what we do.

Synexus is seeking applicants for a Senior Software Engineer to join our team. We are looking for someone who is curious, resourceful, impact-driven, and adaptable.

As a Senior Software Engineer on our growing team, you will play a critical role in building and scaling the infrastructure that powers our data pipeline and integrations. This is a hands‑on position where you’ll work closely with engineering, data science, and product teams to deliver high‑impact solutions that make our systems faster, more reliable, and easier to use.

This is a unique opportunity to have outsized impact in a fast‑paced environment, helping to shape both our technology and our engineering culture as we scale.

• Enhance and maintain our open web crawling system, solving edge cases such as paywalled or obfuscated content to ensure reliable and comprehensive data collection.
• Build and optimize internal tools and infrastructure that empower data scientists and analysts to access and explore large‑scale data with speed and minimal friction.
• Support our transition from batch to real‑time data processing, including the design and implementation of queue‑based pipelines and event‑driven architectures.
• Develop and maintain data integrations with key demand‑side platform (DSP) partners, ensuring reliable and secure data delivery at scale.
• Work across the stack as needed, whether improving backend performance, helping with API design, or optimizing data workflows.
• Develop, improve, and contribute to core engineering practices such as code reviews, testing, observability, and CI/CD to help grow a robust, maintainable codebase.
• Take on a leading role in the team by mentoring more junior SWEs, shepherding projects from ideation to completion, and constantly improving processes.

• 7+ years of experience building and maintaining production systems.
• Successful experience as a senior/lead engineer in teams before with demonstrated mentoring, project management, and technical leadership skills.
• Excellence in Python, with 5+ years of experience writing clean, maintainable, and well‑tested code.
• Deep experience (3+ years) working with AWS services (e.g., EC2, S3, Lambda, Cloud Watch, ECS/Fargate), with a focus on building reliable and scalable infrastructure.
• Excellent understanding of relational databases, particularly Postgre
  
  SQL, and experience writing efficient queries and managing schema changes.
• Deep experience with data pipelines or event‑driven architectures, including tools like message queues (e.g., SQS, Kafka, or similar).
• Strong debugging and problem‑solving skills, with the ability to navigate ambiguity and prioritize effectively.
• Deep experience with CI/CD pipelines and version control systems, like Git, to…