Department: Engineering 

We are building the next generation of call intelligence and AI-driven insight platforms. Over the next three years, our focus is on evolving from a strong analytics foundation into an outcome-driven, API-first platform that embeds intelligence directly into customer workflows. 

This is an opportunity to join us at a pivotal stage. You’ll help shape both how we build and what we build, working on systems that process high-volume, high-value data and increasingly leverage AI and automation to deliver measurable customer and business outcomes. 

We value pragmatic engineering, clear thinking, and continuous learning. Our teams are small, autonomous, and outcome-focused, with a strong emphasis on quality, ownership, and collaboration. 

You will work closely with Product, UX, Test Automation, and DevOps to deliver customer-focused solutions, while also acting as a senior technical voice within the team. You’ll help raise engineering standards through mentoring, constructive code reviews, and thoughtful technical decision-making. 

While this role has no formal line-management responsibility, it carries significant technical influence. You will help shape architectural direction, engineering standards, and ways of working as the platform evolves. 

You enjoy working in an agile environment and actively contribute to refinement, planning, stand-ups, demos, and retrospectives. 

You think in terms of outcomes rather than tickets, taking responsibility for seeing work through from problem definition to production impact and ongoing operational health. 

You take ownership, proactively identify risks and blockers, and drive pragmatic, well-reasoned solutions. 

You value quality and automate where it provides leverage, across testing, tooling, CI/CD, and operational workflows. 

You communicate clearly and confidently, particularly through written communication, whether documenting decisions, reviewing code, or collaborating asynchronously across teams. 

You are comfortable reviewing pull requests and providing clear, constructive, and actionable feedback that helps improve code quality, consistency, and shared understanding. 

You enjoy mentoring and supporting other engineers through coaching, knowledge sharing, and technical guidance. 

You are comfortable working with agile delivery tooling such as Jira and Confluence, and understand the value of lightweight estimation, effort tracking, and documentation to support transparency and continuous improvement. 

You actively and confidently use modern AI-assisted development tools as part of your day-to-day workflow, applying strong engineering judgement when doing so. 

Core Engineering 

• Strong experience delivering production software in a modern engineering environment 

• Comfortable working in agile, cross-functional teams with iterative delivery 

• Strong API-first mindset, including designing, versioning, documenting, and maintaining internal and external APIs 

• Proven ability to architect solutions, translating requirements into secure, resilient, and scalable systems 

• Strong experience with Go, including building and maintaining backend services (or clear evidence of rapid ramp-up) 

• Solid understanding of cloud-native and serverless architectures 

Cloud & Platform 

• Hands-on experience with AWS, including Lambda, SQS, SNS, Step Functions, DynamoDB, and RDS (MySQL) 

• Infrastructure as Code using Terraform 

• CI/CD experience using GitHub Actions or equivalent tooling 

• Strong observability mindset, including logs, metrics, traces, dashboards, and alerting 

Frontend & Testing 

• Frontend experience with TypeScript and Vue, or equivalent modern SPA frameworks 

• Design, build and maintain backend services and customer-facing features with a strong focus on reliability, security and performance. 

• Architect solutions and evolve systems incrementally - balancing speed, quality, cost, and operational simplicity. 

• Champion an API-first mindset: design clean, versioned APIs and integrations with clear contracts and documentation. 

• Build event-driven workflows using AWS messaging and orchestration (SQS/SNS/Step Functions) and serverless patterns. 

• Deliver robust data solutions across operational stores and the warehouse (SingleStore), including high-volume data processing and reporting use cases.