Overview Lead Cloud Platform Engineer role at i.AI (Incubator for AI) to help design, build and operate the cloud platform that powers AI product delivery. This is a hands-on technical leadership position focused on modern cloud infrastructure, security, and scalable platform capabilities to enable production AI systems in government contexts. The role offers high autonomy within a flat engineering structure and opportunities to shape platform direction with strong engineering judgement. Responsibilities End to end platform engineering: own the technical delivery of platform initiatives from concept through to production, making architectural decisions and building secure, scalable cloud components that teams can depend on. Platform as a product: design capabilities that improve the developer experience, creating reusable patterns for local development, pipelines, environments, observability, and operational ergonomics to accelerate shipping with less friction. AI workload enablement: support production AI systems and agentic workloads; build and maintain platform capabilities for model access, routing, tracing, evaluation, reliability, and cost control. Intelligent automation and security: treat security as a first-class concern with automated controls for software supply chain security, secrets management and policy as code; use GenAI to reduce operational toil, introduce intelligent guardrails, and streamline developer workflows. Technical leadership: shape platform direction through engineering judgement and hands-on delivery, mentor engineers, promote better patterns, and balance needs of individual teams with platform-wide coherence. What you will thrive on Strong hands-on experience building and operating production cloud platforms, with AWS preferred. Deep understanding of platform architecture, distributed systems, networking, and reliability concepts (SLOs, tracing, alerting). Interest in applying GenAI/LLM tooling to reduce operational work and improve resilience. Experience embedding security into delivery workflows, including software supply chain security, IAM, threat modelling, and policy as code. Experience supporting AI/ML systems in production (model serving, MLOps, agentic orchestration, or prompt/inference cost trade-offs). Proficiency in software development and infrastructure automation; track record of reusable patterns and engineering standards. Strong ownership, judgement, and ability to operate in a flat, high-agency team; product mindset with emphasis on developer experience. Ability to coach others and raise technical standards. What we offer Career-defining projects with outsized impact and opportunities to apply technology to transform the public sector. Access to frontier models, compute resources, and a supportive, mission-driven team. Growth and empowerment: learning and development 5 days off, annual stipends, conference funding, and opportunities to own important products early. Life and family benefits: hybrid working in London, Manchester, or Bristol with occasional remote work abroad, generous leave, parental leave, and pension contributions. Our stack Cloud infrastructure: AWS (ECS, Lambda, CloudFront, RDS, S3) with multi-cloud patterns across Azure and GCP. Containerisation and delivery: Docker, container orchestration, GitHub Actions, and deployment patterns (rolling, canary, blue-green). Development: Terraform, Python with FastAPI, JavaScript/TypeScript with Next.js, Astro, Node.js. AI platform layer: tooling for model routing, tracing, evaluation (LiteLLM, Langfuse) with LangGraph, DSPy, Inspect. AI harness: OpenCode and Claude Code; access to frontier models from OpenAI, Anthropic, Google. Observability: AWS CloudWatch, Grafana, Sentry, X Ray. Security: SAST, SCA, SBOMs, policy as code, CSPM, DAST, and automated IAM/secrets management. Selection Process UK government clearance process with sponsorship if needed. Stages include a short initial conversation, technical take-home test, and multiple interviews with the team and senior representation. Diversity and Inclusion information and privacy notices are provided as part of the process. Salary: £69,675 - £90,756 GBP (GDAD role, with position within the grade range and non-pensionable allowances as applicable).
23/07/2026
Full time
Overview Lead Cloud Platform Engineer role at i.AI (Incubator for AI) to help design, build and operate the cloud platform that powers AI product delivery. This is a hands-on technical leadership position focused on modern cloud infrastructure, security, and scalable platform capabilities to enable production AI systems in government contexts. The role offers high autonomy within a flat engineering structure and opportunities to shape platform direction with strong engineering judgement. Responsibilities End to end platform engineering: own the technical delivery of platform initiatives from concept through to production, making architectural decisions and building secure, scalable cloud components that teams can depend on. Platform as a product: design capabilities that improve the developer experience, creating reusable patterns for local development, pipelines, environments, observability, and operational ergonomics to accelerate shipping with less friction. AI workload enablement: support production AI systems and agentic workloads; build and maintain platform capabilities for model access, routing, tracing, evaluation, reliability, and cost control. Intelligent automation and security: treat security as a first-class concern with automated controls for software supply chain security, secrets management and policy as code; use GenAI to reduce operational toil, introduce intelligent guardrails, and streamline developer workflows. Technical leadership: shape platform direction through engineering judgement and hands-on delivery, mentor engineers, promote better patterns, and balance needs of individual teams with platform-wide coherence. What you will thrive on Strong hands-on experience building and operating production cloud platforms, with AWS preferred. Deep understanding of platform architecture, distributed systems, networking, and reliability concepts (SLOs, tracing, alerting). Interest in applying GenAI/LLM tooling to reduce operational work and improve resilience. Experience embedding security into delivery workflows, including software supply chain security, IAM, threat modelling, and policy as code. Experience supporting AI/ML systems in production (model serving, MLOps, agentic orchestration, or prompt/inference cost trade-offs). Proficiency in software development and infrastructure automation; track record of reusable patterns and engineering standards. Strong ownership, judgement, and ability to operate in a flat, high-agency team; product mindset with emphasis on developer experience. Ability to coach others and raise technical standards. What we offer Career-defining projects with outsized impact and opportunities to apply technology to transform the public sector. Access to frontier models, compute resources, and a supportive, mission-driven team. Growth and empowerment: learning and development 5 days off, annual stipends, conference funding, and opportunities to own important products early. Life and family benefits: hybrid working in London, Manchester, or Bristol with occasional remote work abroad, generous leave, parental leave, and pension contributions. Our stack Cloud infrastructure: AWS (ECS, Lambda, CloudFront, RDS, S3) with multi-cloud patterns across Azure and GCP. Containerisation and delivery: Docker, container orchestration, GitHub Actions, and deployment patterns (rolling, canary, blue-green). Development: Terraform, Python with FastAPI, JavaScript/TypeScript with Next.js, Astro, Node.js. AI platform layer: tooling for model routing, tracing, evaluation (LiteLLM, Langfuse) with LangGraph, DSPy, Inspect. AI harness: OpenCode and Claude Code; access to frontier models from OpenAI, Anthropic, Google. Observability: AWS CloudWatch, Grafana, Sentry, X Ray. Security: SAST, SCA, SBOMs, policy as code, CSPM, DAST, and automated IAM/secrets management. Selection Process UK government clearance process with sponsorship if needed. Stages include a short initial conversation, technical take-home test, and multiple interviews with the team and senior representation. Diversity and Inclusion information and privacy notices are provided as part of the process. Salary: £69,675 - £90,756 GBP (GDAD role, with position within the grade range and non-pensionable allowances as applicable).
Overview Lead Cloud Platform Engineer role at i.AI (Incubator for AI) to help design, build and operate the cloud platform that powers AI product delivery. This is a hands-on technical leadership position focused on modern cloud infrastructure, security, and scalable platform capabilities to enable production AI systems in government contexts. The role offers high autonomy within a flat engineering structure and opportunities to shape platform direction with strong engineering judgement. Responsibilities End to end platform engineering: own the technical delivery of platform initiatives from concept through to production, making architectural decisions and building secure, scalable cloud components that teams can depend on. Platform as a product: design capabilities that improve the developer experience, creating reusable patterns for local development, pipelines, environments, observability, and operational ergonomics to accelerate shipping with less friction. AI workload enablement: support production AI systems and agentic workloads; build and maintain platform capabilities for model access, routing, tracing, evaluation, reliability, and cost control. Intelligent automation and security: treat security as a first-class concern with automated controls for software supply chain security, secrets management and policy as code; use GenAI to reduce operational toil, introduce intelligent guardrails, and streamline developer workflows. Technical leadership: shape platform direction through engineering judgement and hands-on delivery, mentor engineers, promote better patterns, and balance needs of individual teams with platform-wide coherence. What you will thrive on Strong hands-on experience building and operating production cloud platforms, with AWS preferred. Deep understanding of platform architecture, distributed systems, networking, and reliability concepts (SLOs, tracing, alerting). Interest in applying GenAI/LLM tooling to reduce operational work and improve resilience. Experience embedding security into delivery workflows, including software supply chain security, IAM, threat modelling, and policy as code. Experience supporting AI/ML systems in production (model serving, MLOps, agentic orchestration, or prompt/inference cost trade-offs). Proficiency in software development and infrastructure automation; track record of reusable patterns and engineering standards. Strong ownership, judgement, and ability to operate in a flat, high-agency team; product mindset with emphasis on developer experience. Ability to coach others and raise technical standards. What we offer Career-defining projects with outsized impact and opportunities to apply technology to transform the public sector. Access to frontier models, compute resources, and a supportive, mission-driven team. Growth and empowerment: learning and development 5 days off, annual stipends, conference funding, and opportunities to own important products early. Life and family benefits: hybrid working in London, Manchester, or Bristol with occasional remote work abroad, generous leave, parental leave, and pension contributions. Our stack Cloud infrastructure: AWS (ECS, Lambda, CloudFront, RDS, S3) with multi-cloud patterns across Azure and GCP. Containerisation and delivery: Docker, container orchestration, GitHub Actions, and deployment patterns (rolling, canary, blue-green). Development: Terraform, Python with FastAPI, JavaScript/TypeScript with Next.js, Astro, Node.js. AI platform layer: tooling for model routing, tracing, evaluation (LiteLLM, Langfuse) with LangGraph, DSPy, Inspect. AI harness: OpenCode and Claude Code; access to frontier models from OpenAI, Anthropic, Google. Observability: AWS CloudWatch, Grafana, Sentry, X Ray. Security: SAST, SCA, SBOMs, policy as code, CSPM, DAST, and automated IAM/secrets management. Selection Process UK government clearance process with sponsorship if needed. Stages include a short initial conversation, technical take-home test, and multiple interviews with the team and senior representation. Diversity and Inclusion information and privacy notices are provided as part of the process. Salary: £69,675 - £90,756 GBP (GDAD role, with position within the grade range and non-pensionable allowances as applicable).
23/07/2026
Full time
Overview Lead Cloud Platform Engineer role at i.AI (Incubator for AI) to help design, build and operate the cloud platform that powers AI product delivery. This is a hands-on technical leadership position focused on modern cloud infrastructure, security, and scalable platform capabilities to enable production AI systems in government contexts. The role offers high autonomy within a flat engineering structure and opportunities to shape platform direction with strong engineering judgement. Responsibilities End to end platform engineering: own the technical delivery of platform initiatives from concept through to production, making architectural decisions and building secure, scalable cloud components that teams can depend on. Platform as a product: design capabilities that improve the developer experience, creating reusable patterns for local development, pipelines, environments, observability, and operational ergonomics to accelerate shipping with less friction. AI workload enablement: support production AI systems and agentic workloads; build and maintain platform capabilities for model access, routing, tracing, evaluation, reliability, and cost control. Intelligent automation and security: treat security as a first-class concern with automated controls for software supply chain security, secrets management and policy as code; use GenAI to reduce operational toil, introduce intelligent guardrails, and streamline developer workflows. Technical leadership: shape platform direction through engineering judgement and hands-on delivery, mentor engineers, promote better patterns, and balance needs of individual teams with platform-wide coherence. What you will thrive on Strong hands-on experience building and operating production cloud platforms, with AWS preferred. Deep understanding of platform architecture, distributed systems, networking, and reliability concepts (SLOs, tracing, alerting). Interest in applying GenAI/LLM tooling to reduce operational work and improve resilience. Experience embedding security into delivery workflows, including software supply chain security, IAM, threat modelling, and policy as code. Experience supporting AI/ML systems in production (model serving, MLOps, agentic orchestration, or prompt/inference cost trade-offs). Proficiency in software development and infrastructure automation; track record of reusable patterns and engineering standards. Strong ownership, judgement, and ability to operate in a flat, high-agency team; product mindset with emphasis on developer experience. Ability to coach others and raise technical standards. What we offer Career-defining projects with outsized impact and opportunities to apply technology to transform the public sector. Access to frontier models, compute resources, and a supportive, mission-driven team. Growth and empowerment: learning and development 5 days off, annual stipends, conference funding, and opportunities to own important products early. Life and family benefits: hybrid working in London, Manchester, or Bristol with occasional remote work abroad, generous leave, parental leave, and pension contributions. Our stack Cloud infrastructure: AWS (ECS, Lambda, CloudFront, RDS, S3) with multi-cloud patterns across Azure and GCP. Containerisation and delivery: Docker, container orchestration, GitHub Actions, and deployment patterns (rolling, canary, blue-green). Development: Terraform, Python with FastAPI, JavaScript/TypeScript with Next.js, Astro, Node.js. AI platform layer: tooling for model routing, tracing, evaluation (LiteLLM, Langfuse) with LangGraph, DSPy, Inspect. AI harness: OpenCode and Claude Code; access to frontier models from OpenAI, Anthropic, Google. Observability: AWS CloudWatch, Grafana, Sentry, X Ray. Security: SAST, SCA, SBOMs, policy as code, CSPM, DAST, and automated IAM/secrets management. Selection Process UK government clearance process with sponsorship if needed. Stages include a short initial conversation, technical take-home test, and multiple interviews with the team and senior representation. Diversity and Inclusion information and privacy notices are provided as part of the process. Salary: £69,675 - £90,756 GBP (GDAD role, with position within the grade range and non-pensionable allowances as applicable).
Overview Lead Cloud Platform Engineer role at i.AI (Incubator for AI) to help design, build and operate the cloud platform that powers AI product delivery. This is a hands-on technical leadership position focused on modern cloud infrastructure, security, and scalable platform capabilities to enable production AI systems in government contexts. The role offers high autonomy within a flat engineering structure and opportunities to shape platform direction with strong engineering judgement. Responsibilities End to end platform engineering: own the technical delivery of platform initiatives from concept through to production, making architectural decisions and building secure, scalable cloud components that teams can depend on. Platform as a product: design capabilities that improve the developer experience, creating reusable patterns for local development, pipelines, environments, observability, and operational ergonomics to accelerate shipping with less friction. AI workload enablement: support production AI systems and agentic workloads; build and maintain platform capabilities for model access, routing, tracing, evaluation, reliability, and cost control. Intelligent automation and security: treat security as a first-class concern with automated controls for software supply chain security, secrets management and policy as code; use GenAI to reduce operational toil, introduce intelligent guardrails, and streamline developer workflows. Technical leadership: shape platform direction through engineering judgement and hands-on delivery, mentor engineers, promote better patterns, and balance needs of individual teams with platform-wide coherence. What you will thrive on Strong hands-on experience building and operating production cloud platforms, with AWS preferred. Deep understanding of platform architecture, distributed systems, networking, and reliability concepts (SLOs, tracing, alerting). Interest in applying GenAI/LLM tooling to reduce operational work and improve resilience. Experience embedding security into delivery workflows, including software supply chain security, IAM, threat modelling, and policy as code. Experience supporting AI/ML systems in production (model serving, MLOps, agentic orchestration, or prompt/inference cost trade-offs). Proficiency in software development and infrastructure automation; track record of reusable patterns and engineering standards. Strong ownership, judgement, and ability to operate in a flat, high-agency team; product mindset with emphasis on developer experience. Ability to coach others and raise technical standards. What we offer Career-defining projects with outsized impact and opportunities to apply technology to transform the public sector. Access to frontier models, compute resources, and a supportive, mission-driven team. Growth and empowerment: learning and development 5 days off, annual stipends, conference funding, and opportunities to own important products early. Life and family benefits: hybrid working in London, Manchester, or Bristol with occasional remote work abroad, generous leave, parental leave, and pension contributions. Our stack Cloud infrastructure: AWS (ECS, Lambda, CloudFront, RDS, S3) with multi-cloud patterns across Azure and GCP. Containerisation and delivery: Docker, container orchestration, GitHub Actions, and deployment patterns (rolling, canary, blue-green). Development: Terraform, Python with FastAPI, JavaScript/TypeScript with Next.js, Astro, Node.js. AI platform layer: tooling for model routing, tracing, evaluation (LiteLLM, Langfuse) with LangGraph, DSPy, Inspect. AI harness: OpenCode and Claude Code; access to frontier models from OpenAI, Anthropic, Google. Observability: AWS CloudWatch, Grafana, Sentry, X Ray. Security: SAST, SCA, SBOMs, policy as code, CSPM, DAST, and automated IAM/secrets management. Selection Process UK government clearance process with sponsorship if needed. Stages include a short initial conversation, technical take-home test, and multiple interviews with the team and senior representation. Diversity and Inclusion information and privacy notices are provided as part of the process. Salary: £69,675 - £90,756 GBP (GDAD role, with position within the grade range and non-pensionable allowances as applicable).
23/07/2026
Full time
Overview Lead Cloud Platform Engineer role at i.AI (Incubator for AI) to help design, build and operate the cloud platform that powers AI product delivery. This is a hands-on technical leadership position focused on modern cloud infrastructure, security, and scalable platform capabilities to enable production AI systems in government contexts. The role offers high autonomy within a flat engineering structure and opportunities to shape platform direction with strong engineering judgement. Responsibilities End to end platform engineering: own the technical delivery of platform initiatives from concept through to production, making architectural decisions and building secure, scalable cloud components that teams can depend on. Platform as a product: design capabilities that improve the developer experience, creating reusable patterns for local development, pipelines, environments, observability, and operational ergonomics to accelerate shipping with less friction. AI workload enablement: support production AI systems and agentic workloads; build and maintain platform capabilities for model access, routing, tracing, evaluation, reliability, and cost control. Intelligent automation and security: treat security as a first-class concern with automated controls for software supply chain security, secrets management and policy as code; use GenAI to reduce operational toil, introduce intelligent guardrails, and streamline developer workflows. Technical leadership: shape platform direction through engineering judgement and hands-on delivery, mentor engineers, promote better patterns, and balance needs of individual teams with platform-wide coherence. What you will thrive on Strong hands-on experience building and operating production cloud platforms, with AWS preferred. Deep understanding of platform architecture, distributed systems, networking, and reliability concepts (SLOs, tracing, alerting). Interest in applying GenAI/LLM tooling to reduce operational work and improve resilience. Experience embedding security into delivery workflows, including software supply chain security, IAM, threat modelling, and policy as code. Experience supporting AI/ML systems in production (model serving, MLOps, agentic orchestration, or prompt/inference cost trade-offs). Proficiency in software development and infrastructure automation; track record of reusable patterns and engineering standards. Strong ownership, judgement, and ability to operate in a flat, high-agency team; product mindset with emphasis on developer experience. Ability to coach others and raise technical standards. What we offer Career-defining projects with outsized impact and opportunities to apply technology to transform the public sector. Access to frontier models, compute resources, and a supportive, mission-driven team. Growth and empowerment: learning and development 5 days off, annual stipends, conference funding, and opportunities to own important products early. Life and family benefits: hybrid working in London, Manchester, or Bristol with occasional remote work abroad, generous leave, parental leave, and pension contributions. Our stack Cloud infrastructure: AWS (ECS, Lambda, CloudFront, RDS, S3) with multi-cloud patterns across Azure and GCP. Containerisation and delivery: Docker, container orchestration, GitHub Actions, and deployment patterns (rolling, canary, blue-green). Development: Terraform, Python with FastAPI, JavaScript/TypeScript with Next.js, Astro, Node.js. AI platform layer: tooling for model routing, tracing, evaluation (LiteLLM, Langfuse) with LangGraph, DSPy, Inspect. AI harness: OpenCode and Claude Code; access to frontier models from OpenAI, Anthropic, Google. Observability: AWS CloudWatch, Grafana, Sentry, X Ray. Security: SAST, SCA, SBOMs, policy as code, CSPM, DAST, and automated IAM/secrets management. Selection Process UK government clearance process with sponsorship if needed. Stages include a short initial conversation, technical take-home test, and multiple interviews with the team and senior representation. Diversity and Inclusion information and privacy notices are provided as part of the process. Salary: £69,675 - £90,756 GBP (GDAD role, with position within the grade range and non-pensionable allowances as applicable).
Chief Technology Officer (CTO) 17/03/2026 Location: Remote / Office (Havant) Job type: Full-time / Fractional About Unipro Unipro is a highly focussed bespoke custom software studio dedicated to serving our clients as a strategic partner. We understand their business challenges and build bespoke solutions that deliver digital autonomy and an unrivalled commercial advantage to our clients. Recognised as an SME Best Workplace, Unipro is a dynamic, late-stage company experiencing fast dynamic growth. We are now seeking an exceptional Chief Technology Officer (CTO) with strong digital agency or software consultancy experience to lead our technical strategy, delivery capability, and engineering culture as we enter our next phase of growth. Role Summary As a CTO in our Digital Studio, you will play a pivotal role in shaping and delivering bold digital visions for our clients. You will work closely with stakeholders to understand their business strategy and goals, and translate these into scalable, innovative digital solutions that embrace a digital-first culture. Role Overview The CTO will be responsible for shaping and executing the company's technology vision, ensuring we deliver world class, scalable, and commercially impactful software and services solutions. This role blends strategic leadership with hands on technical oversight, requiring someone who thrives in a fast paced agency environment where priorities shift and innovation is constant. A critical part of this role is leading our approach to AI, automation, and intelligent digital products, guiding both clients and internal teams through responsible integration of modern AI technologies. The CTO will be a key member of the leadership team, partnering with Operations and Commercial teams to drive excellence across our project portfolio while ensuring our technology function remains a competitive differentiator. Duties and Responsibilities Strategic Leadership Define and own the company's long term technology strategy aligned with commercial goals and client needs, with a specific emphasis on modern AI capability, automation, and emerging technologies. Identify emerging technologies and assess their applicability to client solutions and internal processes. Lead the ongoing evolution of our technical frameworks, methodologies, and delivery standards. Lead the development of the company's AI offering. Technical Governance & Architecture Oversee architectural decisions across projects to ensure scalability, security, maintainability, and performance. Establish and maintain coding standards, best practices, and quality assurance processes across teams. Support presales and discovery phases with technical scoping, solution design, and estimation. Team Leadership & Capability Building Build and mentor a multidisciplinary engineering team including developers, solution architects, and DevOps specialists. Define career pathways, training programmes, and AI upskilling frameworks. Foster a culture of innovation, experimentation, and continuous improvement. Operational & Delivery Oversight Ensure reliable, predictable, and high quality delivery across multiple simultaneous client engagements. Partner with Delivery/Project Management to define realistic timelines, identify risks, and strengthen delivery processes. Oversee technical due diligence for new client partnerships. Client & Stakeholder Engagement Act as a trusted technical advisor to senior client stakeholders. Communicate complex technical concepts in a clear, commercial, and client friendly manner. Build long term relationships that position us as a strategic partner, not just a supplier. Core attributes / Essential skills Strategic thinker with strong technical intuition. Collaborative, approachable, and confident leading multidisciplinary teams. Comfortable navigating ambiguity and bringing clarity to complex challenges. Strong problem solver with a bias for action and delivery. Passionate about technology, innovation, and building high quality digital products. Digital Agency / Software Consultancy Experience Candidates must have substantial experience in a digital agency, custom software studio, or technology consultancy environment, including: Managing multiple concurrent client projects of varying size and complexity. Understanding commercial models such as retainers, fixed scope builds, and time and materials engagements. Balancing delivery quality with commercial constraints and deadlines. Leading conversations around digital transformation, technical strategy, and product innovation. Technical Expertise Proven track record architecting and delivering complex bespoke software solutions, including AI solutions. Strong understanding of modern development practices (CI/CD, automated testing, DevOps, cloud native architectures). Broad knowledge of the following technology stacks (e.g., JavaScript/TypeScript, Python, .NET, Java, Low Code) and experience overseeing full stack development. Experience with cloud platforms (AWS, Azure etc.). Strong understanding of data, security, privacy, and compliance considerations. Leadership & Communication Demonstrated ability to lead engineering organisations through growth and change. Excellent communication skills - able to engage business leaders, clients, and engineers alike. Commercially minded with a strong understanding of budgets, resource planning, and profitability. Confident operating at both strategic and hands on levels. Desirable skills and experience Experience creating or scaling AI practices and capabilities. Experience building or scaling a technical function from early stages. Prior involvement in defining agency technology offerings or service lines. Exposure to multiple industry verticals. Experience with AI applications, automation, or emerging technology R&D. Contributions to open source projects or thought leadership within the tech community. How to apply Please submit your CV and a covering letter outlining your relevant experience to: Unipro is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
11/07/2026
Full time
Chief Technology Officer (CTO) 17/03/2026 Location: Remote / Office (Havant) Job type: Full-time / Fractional About Unipro Unipro is a highly focussed bespoke custom software studio dedicated to serving our clients as a strategic partner. We understand their business challenges and build bespoke solutions that deliver digital autonomy and an unrivalled commercial advantage to our clients. Recognised as an SME Best Workplace, Unipro is a dynamic, late-stage company experiencing fast dynamic growth. We are now seeking an exceptional Chief Technology Officer (CTO) with strong digital agency or software consultancy experience to lead our technical strategy, delivery capability, and engineering culture as we enter our next phase of growth. Role Summary As a CTO in our Digital Studio, you will play a pivotal role in shaping and delivering bold digital visions for our clients. You will work closely with stakeholders to understand their business strategy and goals, and translate these into scalable, innovative digital solutions that embrace a digital-first culture. Role Overview The CTO will be responsible for shaping and executing the company's technology vision, ensuring we deliver world class, scalable, and commercially impactful software and services solutions. This role blends strategic leadership with hands on technical oversight, requiring someone who thrives in a fast paced agency environment where priorities shift and innovation is constant. A critical part of this role is leading our approach to AI, automation, and intelligent digital products, guiding both clients and internal teams through responsible integration of modern AI technologies. The CTO will be a key member of the leadership team, partnering with Operations and Commercial teams to drive excellence across our project portfolio while ensuring our technology function remains a competitive differentiator. Duties and Responsibilities Strategic Leadership Define and own the company's long term technology strategy aligned with commercial goals and client needs, with a specific emphasis on modern AI capability, automation, and emerging technologies. Identify emerging technologies and assess their applicability to client solutions and internal processes. Lead the ongoing evolution of our technical frameworks, methodologies, and delivery standards. Lead the development of the company's AI offering. Technical Governance & Architecture Oversee architectural decisions across projects to ensure scalability, security, maintainability, and performance. Establish and maintain coding standards, best practices, and quality assurance processes across teams. Support presales and discovery phases with technical scoping, solution design, and estimation. Team Leadership & Capability Building Build and mentor a multidisciplinary engineering team including developers, solution architects, and DevOps specialists. Define career pathways, training programmes, and AI upskilling frameworks. Foster a culture of innovation, experimentation, and continuous improvement. Operational & Delivery Oversight Ensure reliable, predictable, and high quality delivery across multiple simultaneous client engagements. Partner with Delivery/Project Management to define realistic timelines, identify risks, and strengthen delivery processes. Oversee technical due diligence for new client partnerships. Client & Stakeholder Engagement Act as a trusted technical advisor to senior client stakeholders. Communicate complex technical concepts in a clear, commercial, and client friendly manner. Build long term relationships that position us as a strategic partner, not just a supplier. Core attributes / Essential skills Strategic thinker with strong technical intuition. Collaborative, approachable, and confident leading multidisciplinary teams. Comfortable navigating ambiguity and bringing clarity to complex challenges. Strong problem solver with a bias for action and delivery. Passionate about technology, innovation, and building high quality digital products. Digital Agency / Software Consultancy Experience Candidates must have substantial experience in a digital agency, custom software studio, or technology consultancy environment, including: Managing multiple concurrent client projects of varying size and complexity. Understanding commercial models such as retainers, fixed scope builds, and time and materials engagements. Balancing delivery quality with commercial constraints and deadlines. Leading conversations around digital transformation, technical strategy, and product innovation. Technical Expertise Proven track record architecting and delivering complex bespoke software solutions, including AI solutions. Strong understanding of modern development practices (CI/CD, automated testing, DevOps, cloud native architectures). Broad knowledge of the following technology stacks (e.g., JavaScript/TypeScript, Python, .NET, Java, Low Code) and experience overseeing full stack development. Experience with cloud platforms (AWS, Azure etc.). Strong understanding of data, security, privacy, and compliance considerations. Leadership & Communication Demonstrated ability to lead engineering organisations through growth and change. Excellent communication skills - able to engage business leaders, clients, and engineers alike. Commercially minded with a strong understanding of budgets, resource planning, and profitability. Confident operating at both strategic and hands on levels. Desirable skills and experience Experience creating or scaling AI practices and capabilities. Experience building or scaling a technical function from early stages. Prior involvement in defining agency technology offerings or service lines. Exposure to multiple industry verticals. Experience with AI applications, automation, or emerging technology R&D. Contributions to open source projects or thought leadership within the tech community. How to apply Please submit your CV and a covering letter outlining your relevant experience to: Unipro is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
About StackOne: StackOne is the AI Integration Gateway for SaaS products and AI Agents. Backed by GV and Workday Ventures ($24M raised), we help builders of SaaS platforms and AI Agents orchestrate hundreds of scalable, accurate, and enterprise-grade integrations. Our platform combines 25,000 pre-mapped actions on 200 connectors, an AI-powered integration development toolkit, plus security by design: a real-time architecture, managed authentication and permissions, and end-to-end observability. Join us on our fast trajectory to build the future of agentic integrations. About the role We're looking for a Senior Platform Engineer to own how StackOne is built, shipped, and run, as we scale across our own cloud and into our customers' clouds. You'll own the infrastructure behind the platform, our deployment pipeline and developer tooling, and how we package StackOne to run inside customers' own AWS, GCP, or Azure accounts. It's a hands on role with broad scope. You write code and tooling, you own the IaC other engineers depend on, and you set the standard for how every new repository gets deployed and secured. You'll report directly to the CTO and work closely with our Security Engineer and tech leads. Responsibilities Own our infrastructure at scale: the AWS estate today (ECS Fargate, Aurora, ElastiCache, MSK, OpenSearch, Lambda, KMS) and the AWS CDK to Terraform migration. Keep it reliable, observable, and cost aware. Build out the deployment pipeline as we consolidate toward a monorepo: the CI/CD that ships every service, plus an automated end to end testing harness with incremental (affected only) testing that stays fast as we grow. Ship into customers' own clouds (self hosted / BYOC): the Terraform modules, container images, runbooks, and documentation for internal teams and customers. Own the release and upgrade path for self hosted customers: versioned, signed releases, a supported version policy, and a call home for usage and version reporting. Set the standard for new repositories: partner with the Security Engineer and tech leads so new projects (product, internal tools, and vibe coded prototypes) ship secure and deployable from day one. Templates and golden paths, not gate keeping. Raise reliability: SLOs, observability, and incident response. Make the system easy to operate when something breaks at 3am. Treat infrastructure as a product: paved roads and self serve tooling so product engineers ship without waiting on you. Use AI in the workflow: lean on LLMs and agents for IaC generation, test scaffolding, and runbook drafting, with guardrails you trust. What we're looking for 4+ years in platform, infrastructure, SRE, or DevOps, with hands on AWS at scale: ECS/Fargate, RDS/Aurora, Lambda, networking, IAM, KMS. Deep IaC ability: Terraform and/or AWS CDK, comfortable owning modules other teams build on. Strong CI/CD and monorepo build experience: caching and incremental/affected only test execution. You've made a slow pipeline fast. Strong coding in TypeScript, Python, or Go. You build tooling, not just YAML and configs. Containers in production (Docker); Kubernetes a plus. Security minded: you bake secure defaults into pipelines and repo templates, and partner with security rather than routing around it. A clear writer: docs and runbooks that internal engineers and external customers can follow. End to end ownership: you scope, ship, and measure, and automate instead of running manual checklists. Nice to have Shipping software into customers' own cloud or on prem (BYOC / self hosted), or a platform like Nuon, Replicated, or Omnistrate. Multi cloud (GCP or Azure) IaC, and exposure to Temporal, Kafka/MSK, ClickHouse, or OpenSearch. Our stack Cloud & infra: AWS (ECS Fargate, Aurora Postgres, ElastiCache, MSK, OpenSearch, Lambda, S3, KMS, CloudFront, WAF), Cloudflare (Workers, WAF) IaC: AWS CDK today, migrating to Terraform Data & messaging: Postgres, Redis, Kafka, OpenSearch, ClickHouse CI/CD: GitHub Actions Observability & analytics: Datadog, Sentry, Metabase Languages: TypeScript (Node.js), Python Benefits Meaningful share options (EMI) 25 days holiday + 1 additional day per year of tenure Private health insurance, including dental & optical £15/day London office lunch budget, up to £120/month £1,000 home office setup + £500/year top up Annual team offsite to sunny spots Join one of Europe's fastest growing startups Work with a veteran team of ex Google, Microsoft, Oracle, Coinbase, JP Morgan and more Health, fitness and gift card discounts; Cycle2Work and Electric Cars scheme London (hybrid, 2 days/week) preferred; open to remote within the UK We believe diversity drives innovation. We encourage individuals from all backgrounds to apply. As an equal opportunity employer, we celebrate diversity and are committed to creating an inclusive environment for all employees.
30/06/2026
Full time
About StackOne: StackOne is the AI Integration Gateway for SaaS products and AI Agents. Backed by GV and Workday Ventures ($24M raised), we help builders of SaaS platforms and AI Agents orchestrate hundreds of scalable, accurate, and enterprise-grade integrations. Our platform combines 25,000 pre-mapped actions on 200 connectors, an AI-powered integration development toolkit, plus security by design: a real-time architecture, managed authentication and permissions, and end-to-end observability. Join us on our fast trajectory to build the future of agentic integrations. About the role We're looking for a Senior Platform Engineer to own how StackOne is built, shipped, and run, as we scale across our own cloud and into our customers' clouds. You'll own the infrastructure behind the platform, our deployment pipeline and developer tooling, and how we package StackOne to run inside customers' own AWS, GCP, or Azure accounts. It's a hands on role with broad scope. You write code and tooling, you own the IaC other engineers depend on, and you set the standard for how every new repository gets deployed and secured. You'll report directly to the CTO and work closely with our Security Engineer and tech leads. Responsibilities Own our infrastructure at scale: the AWS estate today (ECS Fargate, Aurora, ElastiCache, MSK, OpenSearch, Lambda, KMS) and the AWS CDK to Terraform migration. Keep it reliable, observable, and cost aware. Build out the deployment pipeline as we consolidate toward a monorepo: the CI/CD that ships every service, plus an automated end to end testing harness with incremental (affected only) testing that stays fast as we grow. Ship into customers' own clouds (self hosted / BYOC): the Terraform modules, container images, runbooks, and documentation for internal teams and customers. Own the release and upgrade path for self hosted customers: versioned, signed releases, a supported version policy, and a call home for usage and version reporting. Set the standard for new repositories: partner with the Security Engineer and tech leads so new projects (product, internal tools, and vibe coded prototypes) ship secure and deployable from day one. Templates and golden paths, not gate keeping. Raise reliability: SLOs, observability, and incident response. Make the system easy to operate when something breaks at 3am. Treat infrastructure as a product: paved roads and self serve tooling so product engineers ship without waiting on you. Use AI in the workflow: lean on LLMs and agents for IaC generation, test scaffolding, and runbook drafting, with guardrails you trust. What we're looking for 4+ years in platform, infrastructure, SRE, or DevOps, with hands on AWS at scale: ECS/Fargate, RDS/Aurora, Lambda, networking, IAM, KMS. Deep IaC ability: Terraform and/or AWS CDK, comfortable owning modules other teams build on. Strong CI/CD and monorepo build experience: caching and incremental/affected only test execution. You've made a slow pipeline fast. Strong coding in TypeScript, Python, or Go. You build tooling, not just YAML and configs. Containers in production (Docker); Kubernetes a plus. Security minded: you bake secure defaults into pipelines and repo templates, and partner with security rather than routing around it. A clear writer: docs and runbooks that internal engineers and external customers can follow. End to end ownership: you scope, ship, and measure, and automate instead of running manual checklists. Nice to have Shipping software into customers' own cloud or on prem (BYOC / self hosted), or a platform like Nuon, Replicated, or Omnistrate. Multi cloud (GCP or Azure) IaC, and exposure to Temporal, Kafka/MSK, ClickHouse, or OpenSearch. Our stack Cloud & infra: AWS (ECS Fargate, Aurora Postgres, ElastiCache, MSK, OpenSearch, Lambda, S3, KMS, CloudFront, WAF), Cloudflare (Workers, WAF) IaC: AWS CDK today, migrating to Terraform Data & messaging: Postgres, Redis, Kafka, OpenSearch, ClickHouse CI/CD: GitHub Actions Observability & analytics: Datadog, Sentry, Metabase Languages: TypeScript (Node.js), Python Benefits Meaningful share options (EMI) 25 days holiday + 1 additional day per year of tenure Private health insurance, including dental & optical £15/day London office lunch budget, up to £120/month £1,000 home office setup + £500/year top up Annual team offsite to sunny spots Join one of Europe's fastest growing startups Work with a veteran team of ex Google, Microsoft, Oracle, Coinbase, JP Morgan and more Health, fitness and gift card discounts; Cycle2Work and Electric Cars scheme London (hybrid, 2 days/week) preferred; open to remote within the UK We believe diversity drives innovation. We encourage individuals from all backgrounds to apply. As an equal opportunity employer, we celebrate diversity and are committed to creating an inclusive environment for all employees.
