Trust In SODA

About the Company

Community-led, diverse in behaviour, for the digital tech brave. We are Trust in SODA, the digital tech recruitment specialists. We empower and build diverse communities that represent the digital tech world we live in. We are proud to be officially B Corp certified, joining a global network of organisations dedicated to using their platform as a force for positive change.

Our consultants focus on delivering talent solutions across Software Engineering, DevOps, Data, Cloud & Infrastructure and Creative.

Our SODA Squad operate in the UK (London), Ireland (Dublin), Switzerland (Zug), and the USA (Boston) to deliver bespoke hiring solutions to our clients via our embedded, contract and retained hiring solutions. We are fully licenced across our key geographies, including Swiss SECO licence holders, and have recently passed our Swiss Staffing audit.

We have our own communities - SODA Social and Women in DevOps, and Group communities, Pride in Tech and Ex-military Careers where we host regular events and podcasts, and publish blogs and white papers, in collaboration with industry game-changers and thought leaders.

We are part of Trinnovo Group – We build strong, long-term partnerships with our clients, candidates, and community, around a shared group mission to build diversity, create inclusion and encourage workplace innovation.

We are multi-award winning and our recent awards & accreditations include:
• B Corp Accredited
• Investors in People Platinum
• TIARA's 'Best Company to Work for (£20-£50m)' Award, 2022 & 2021 & 2020
• TIARA’s ‘Diversity, Equity & Inclusion’ Award 2022
• APSCo 'Diversity & Inclusion' Award for Excellent, 2018
• SIA 'Best Staffing Firms to Work for across the US' 2022
• Best Companies' 3-Star Accreditation 2022 & 2021
• Tiara's 'Growth Award' 2021 & 2020
• Tiara's 'Recruitment Leader of the Year' 2021

Trust our people. Trust our network. Trust In SODA.

Listed Jobs

Company Name

Trust In SODA

Job Title

Lead Platform Engineer

Job Description

**Job title:** Lead Platform Engineer **Role Summary:** Design, build, and maintain a highly‑reliable, secure, and compliant platform for a fast‑growing fintech startup. Lead the engineering of a mission‑critical, event‑driven environment that supports AI‑native financial services. **Expectations:** - Own the end‑to‑end platform architecture and operations from concept through scaling. - Ensure resilience, security, and regulatory compliance across all services. - Mentor and collaborate with cross‑functional teams to embed SRE best practices. **Key Responsibilities:** - Architect and manage multi‑region Kubernetes clusters for global scalability. - Design and operate event‑streaming pipelines using Kafka. - Deploy and maintain distributed databases (CockroachDB, YugabyteDB, Redis) with high availability. - Implement GitOps tooling (ArgoCD, Flux) for continuous delivery. - Write and maintain IaC with Terraform for all infrastructure. - Work across Public Cloud platforms (AWS, Azure, GCP) to provision resources. - Define, monitor, and enforce SLOs/SLIs; manage error budgets and incident response. - Enable automated observability, logging, and alerting for all services. - Drive security hardening, audit compliance, and vulnerability management. **Required Skills:** - Deep experience in multi‑region Kubernetes infrastructure. - Proficiency with Kafka and event‑streaming architectures. - Strong background in distributed systems (CockroachDB, YugabyteDB, Redis). - Hands‑on GitOps (ArgoCD, Flux) and IaC (Terraform). - Working knowledge of AWS, Azure, and GCP services. - SRE mindset: SLO/SLI definition, error budget, incident management. - Excellent problem‑solving, communication, and team‑leadership skills. **Required Education & Certifications:** - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. - Relevant cloud certifications (AWS Certified Solutions Architect, Azure Solutions Architect, GCP Professional Cloud Architect) and Kubernetes certification (CKA/CKAD) preferred.

London, United kingdom

On site

Senior

23-11-2025

Company Name

Trust In SODA

Job Title

Senior Product Manager - AI Cloud Platform

Job Description

Job title: Senior Product Manager – AI Cloud Platform Role Summary: Own end-to-end product strategy and execution for AI infrastructure and bare‑metal hardware on an AI cloud platform. Bridge hardware engineering with automation, cloud native tech, and customer‑driven development. Expactations: Deliver a scalable, high‑performance AI platform that integrates hardware, software, and MLOps workflows. Drive the product from concept to launch while maintaining technical depth and stakeholder alignment. Key Responsibilities: - Define and prioritize product roadmap for AI platform and ML tools. - Translate technical requirements into clear specifications, user stories, and deliverables. - Collaborate with engineering on discovery, sprint planning, and delivery cycles. - Support sales engagements, capture customer insights, and advocate product changes based on feedback. - Monitor market trends, GPU/AI hardware advancements, and competitive landscape to inform strategy. Required Skills: - Proven experience owning technical products from ideation to market. - Hands‑on infrastructure and hardware engineering background. - Deep knowledge of cloud‑native infrastructure: Kubernetes, containers, orchestration, observability. - Experience with cloud platforms, SaaS, and MLOps tooling. - Ability to operate in ambiguous, fast‑moving environments. - Passion for building next‑generation AI/ML platform tools. - Exposure to NVIDIA GPU technologies. Required Education & Certifications: - Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent experience). ---

London, United kingdom

On site

Senior

25-11-2025

Company Name

Trust In SODA

Job Title

AI Platform Engineer

Job Description

**Job title:** AI Platform Engineer **Role Summary:** Lead the development and operation of AI services, own the LLM Operations platform, orchestrate multi‑agent workflows, and design secure, scalable API infrastructure that supports multiple FinTech products. **Expactations:** - Drive end‑to‑end production of AI solutions. - Own and evolve the LLM Ops platform and multi‑agent orchestration. - Translate technical AI capabilities into monetisable features. **Key Responsibilities:** 1. Design, build, and deploy production AI services using LLMs (Langfuse, Langchain, OpenAI). 2. Own and maintain the LLM Operations platform and orchestration of multiple AI agents. 3. Develop scalable, secure API infrastructure for up to nine core product lines. 4. Integrate CI/CD pipelines (GitOps, Argo, GitHub) for continuous delivery of AI features. 5. Provision and manage cloud resources (Azure, AWS) and Kubernetes clusters (AKS). 6. Apply Infrastructure‑as‑Code (Terraform) for consistent, reproducible environments. 7. Collaborate with product, data, and business teams to align AI capabilities with revenue goals. 8. Ensure compliance, security, and performance standards across all AI services. **Required Skills:** - Cloud platforms: Microsoft Azure and Amazon Web Services. - Container orchestration: Kubernetes, specifically Azure Kubernetes Service (AKS). - Large Language Models: experience with Langfuse, LangChain, OpenAI APIs. - CI/CD & DevOps: GitOps practices, Argo CD, GitHub Actions. - IaC: Terraform for cloud infrastructure automation. - Strong scripting/automation in Python/Go/bash. - Design of secure, high‑availability API services (REST/GraphQL). - Experience in monitoring, logging, and observability for AI workloads. **Required Education & Certifications:** - Bachelor’s degree (or equivalent) in Computer Science, Software Engineering, or related field. - Relevant cloud certifications (e.g., AZ-900, Microsoft Certified: Azure AI Engineer Associate, AWS Certified Solutions Architect – Associate) are highly desirable.

Warwick, United kingdom

Hybrid

02-12-2025

Company Name

Trust In SODA

Job Title

Product Owner

Job Description

**Job Title:** Product Owner – AI Platform (PropTech) **Role Summary:** Lead product ownership for an AI‑powered automation platform focused on property management. Work cross‑functionally with engineering, data science, and design to translate user insights and business goals into prioritized roadmaps, sprint backlogs, and user‑centric features that drive adoption and operational efficiency. **Expectations:** - Own the product vision and strategy within a fast‑moving, lean startup environment. - Deliver measurable impact by continuously refining the platform’s AI and workflow capabilities. - Align product decisions with company goals and stakeholder expectations. **Key Responsibilities:** - Define and deliver feature specifications, user stories, and acceptance criteria for AI automation workflows. - Prioritise backlog items, groom stories, and plan sprints in collaboration with engineering and design teams. - Translate user research and data insights into actionable product requirements. - Drive end‑to‑end product delivery, ensuring high‑quality releases that meet defined KPIs. - Monitor product performance, collect feedback, and iterate on features to maximise user value. - Collaborate closely with the founding team to embed product strategy into the company vision. **Required Skills:** - Proven experience as a Product Owner/Manager in PropTech or real‑estate technology. - Deep understanding of AI‑powered products, automation, and workflow optimisation tools. - Familiarity with Agile methodologies (Scrum/Kanban) and backlog management. - Strong communication, stakeholder influence, and cross‑functional collaboration skills. - Analytical mindset with data‑driven decision making and focus on measurable outcomes. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Engineering, Business, Marketing, or a related field (or equivalent practical experience). - Product management certifications (e.g., CSM, PMI‑PMP, AIPBM) are a plus.

London, United kingdom

On site

02-12-2025