Sabio Group is a trusted expert in Contact Centre, AI and Data. We design, build and run automation-led customer experiences for leading brands, combining deep domain expertise with modern engineering and a consulting mindset. We are collaborative, curious and outcomes-driven, and we invest in people who want to learn and grow in a supportive, inclusive environment.
Role Purpose
As a Senior Software Engineer within the AI Practice, you will play a key hands‑on role in designing, building and operating secure, scalable and highly automated software solutions for our customers.
You will bring a strong DevOps mindset, taking ownership of solutions across the full lifecycle — from design and build through deployment, monitoring and continuous improvement. The role is customer-facing and delivery-focused, working on AI-enabled and cloud-native solutions using modern, automation‑first engineering practices.
Key Responsibilities
- Design, build and maintain high‑quality software solutions using modern programming languages, cloud platforms and DevOps tooling.
- Apply a DevOps and automation‑first approach across infrastructure provisioning, CI/CD, deployment, testing and operations.
- Engineer secure, scalable and observable systems using modern DevOps practices, including infrastructure as code and automated quality controls.
- Take ownership of services in production, including monitoring, troubleshooting, performance tuning and reliability improvements.
- Work directly with customers to understand requirements, shape technical solutions and clearly communicate progress, risks and outcomes.
- Troubleshoot complex issues across application code, integrations, infrastructure and cloud services.
- Contribute to shared DevOps tooling, reusable components, infrastructure‑as‑code patterns and engineering standards within the AI Practice.
- Collaborate closely with other engineers and delivery leads to ensure high‑quality, on‑time delivery.
- Continuously evaluate and adopt new DevOps tools, technologies and patterns to improve delivery efficiency and platform reliability.
Skills Knowledge and Expertise
- Strong experience as a Senior Software Engineer working across multiple technology stacks.
- Proven DevOps experience, with a strong automation‑first engineering mindset.
- Experience designing, deploying and supporting production systems using CI/CD pipelines and infrastructure as code.
- Ability to rapidly learn new technologies and apply them effectively in customer environments.
- Excellent problem‑solving and troubleshooting skills across software, infrastructure and cloud platforms.
- Strong written and verbal communication skills, including confidence in customer‑facing roles.
- Hands‑on experience with:
- Infrastructure as Code (Terraform, Ansible or similar)
- CI/CD pipelines and DevOps tooling
- C# (.NET 8+) and/or Java (Spring)
- Bash and PowerShell
- AWS, ideally including Amazon Connect
- Containerization and orchestration (Docker, Kubernetes)
Nice to Have
- Experience with relational databases such as MSSQL
- Experience with Redis or similar caching technologies
- Exposure to Azure
- Exposure to Google Cloud Platform (GCP)
- Experience with Go
- Experience with VMware
- Telephony or IVR experience
Why Join Us
- Work on high‑impact AI, cloud and DevOps transformation programmes for leading global brands.
- Be part of a collaborative, outcomes‑driven engineering culture with strong DevOps practices.
- Continuous learning with access to mentoring, frameworks and clear career progression.
- An inclusive and supportive environment where diversity is valued and everyone can thrive.
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