tem
Who We Are: We are rebuilding the energy transaction, making it transparent and fair. Our goal is to put power back where it belongs, in the hands of customers and to take on one of the most critical problems of our century, access to low cost electricity. tem exists to fix a broken global energy market that's long favoured legacy operators, intermediaries, and opaque pricing. Today's electricity system was not designed for rapid decarbonisation, AI driven efficiency or fair access for the actual users - businesses and generators. We've built the first AI native transaction infrastructure to reinvent how electricity is bought, sold and priced. Our technology is designed to cut out the inefficient fees, automate complex market flows, and bring transparency and fairness to energy transactions at scale. In late 2025, after extraordinary growth, we closed a $75 million Series B - led by Lightspeed Venture Partners with participation from Albion, Atomico, Allianz, Hitachi Ventures, Hitachi Ventures, Schroders Capital and others - positioning us for global expansion, deeper product innovation and category leadership. We're scaling internationally and building toward a future where AI driven infrastructure is foundational to electricity markets worldwide. Since launch, our modern utility product, known as RED, has already facilitated thousands of business customers and billions in energy transaction value, proving that modern software and AI can transform an industry built on legacy systems. At tem, we're not just building another energy company, we're rearchitecting market infrastructure so that transparency, efficiency and sustainability become the default, not the exception. The Role: Rosso is tem's core IP, the transaction infrastructure that prices electricity for thousands of businesses, balances portfolios in real time, and sits on the critical path for every deal tem closes. The machine learning models inside Rosso forecasting, pricing, and optimisation are what make those decisions possible. Every inference shapes the prices our customers see. Today, tem's ML platform has solid foundations: Metaflow for orchestration, AWS Batch for compute, and automated CI/CD pipelines already in place. That's got Rosso to where it is. But as the number of model types grows and Rosso scales, the platform needs the next layer: structured experiment tracking, a model registry, production monitoring, and self service tooling that lets ML engineers move at pace without being blocked on infrastructure. This role exists to build that layer and define what the platform looks like at scale. You will join the Rosso service alongside a Senior MLOps Engineer in a cross functional team of ML engineers and software engineers. The destination is a platform that is genuinely self service: ML engineers can run experiments, compare models, and ship to production without external intervention. It needs to scale across long horizon forecasting tasks, real time pricing engines, and large scale optimisation workloads - not just the models that exist today. The concrete work ahead is specific: experiment tracking and a model registry are not yet in place. Backtesting infrastructure critical to the forecasting mission needs to be built. Shadow deployments will allow new models to be validated in production before they go live. And the platform needs to be designed for heterogeneous workloads, not just the models that exist today. This is a technical leadership role: you'll define the platform strategy and set the direction for the MLOps, while remaining hands on in the most critical architectural decisions. The right person has seen ML platforms scale well and has learned from the times they haven't. You'll bring that judgment to a platform that can't afford expensive detours. Responsibilities: Own the ML platform strategy: Define the roadmap from Level 1 to Level 2, making architectural decisions ahead of when they'd otherwise become blockers. Keep the platform aligned to Rosso's commercial trajectory. Build the foundations: Lead the design and build of experiment tracking, model registry, automated pipeline infrastructure, and production monitoring across all model types. Deliver backtesting and shadow deployments: Build the infrastructure the forecasting and pricing teams need to validate models reliably against historical data and in production before they go live. Set technical direction: Provide the architectural vision and standards the Senior MLOps Engineer executes against. This is a force multiplier relationship, not a management one. Partner across the team: Work closely with ML engineers and software engineers to understand what the platform needs to unlock the next wave of Rosso capabilities. Translate those needs into principled platform decisions. Choose the right tools: Evaluate the MLOps tooling ecosystem with clear eyes. Make choices that fit tem's scale and workload mix, not what's fashionable. Drive deployment reliability: Push toward more frequent, reliable model deployment cycles as Rosso moves from batch heavy workflows toward live, near real time processes. Define best practices: Establish standards for how models are trained, versioned, deployed, and monitored across the team. Create a platform ML engineers trust. What success looks like: MLOps is no longer a bottleneck, ML engineers are unblocked to focus on model quality. The time to deploy new machine learning models goes from days to minutes. The core features required from the machine learning platform are delivered before they block progress, e.g. backtesting and experiment tracking. Requirements: Must Haves: Scaled an ML platform from early stage: Demonstrable experience taking an ML platform from early stages to best in class infrastructure at a fast moving company. You've been there, done it, and you're comfortable with the messiness and ambiguity that comes with scale up life. ML pipeline expertise: Deep experience across the whole MLOps lifecycle with ML pipeline orchestration (Metaflow, Prefect, Airflow or equivalent) and ML infrastructure (Sagemaker, Vertex AI, Chalk, or equivalent). Model lifecycle tooling: Hands on experience building or operating experiment tracking systems (MLflow, W&B, or similar), model registries, and governance tooling for model fleets at scale. Knows what good looks like and what to avoid. Broad MLOps tooling knowledge: Across the ecosystem monitoring, drift detection, CI/CD for ML, containerisation, IaC (Terraform, AWS CDK). Able to evaluate trade offs and make principled choices for a specific context, not just default to what you know. Technical leadership track record: Evidence of setting platform direction, influencing cross functional teams, and defining standards at Staff+ level. Raises the quality bar through design reviews, code reviews, and mentoring. Knows when to drive strategy and when to get into the weeds. Heterogeneous workload experience: Experience designing and operating platforms serving heterogeneous workloads (e.g. forecasting, classification, operations research, etc.), not just one model type across batch and real time applications. Python, AWS + IaC: Strong Python; hands on experience with AWS and infrastructure as code (Terraform, AWS CDK). Bonus points: Worked in a role where ML is at the core of the product Familiarity with Metaflow specifically Experience with operations research, large scale optimisation in a production context Experience working with business critical time series forecasting models Exposure to reinforcement learning in a production setting Exposure to production LLM workloads, e.g. fine tuning Interview Process: Our processes normally take around 2-3 weeks from first call to offer - please let us know about any adjustments to timelines that may be required. First call with our Talent Team (30 mins). This is to understand your experience, motivations, and discuss the role in more detail. Behaviour Interview with Tim, Head of Data (60 mins). This is your chance to really understand the role, the expectations, and ensure alignment on ways of working. Technical Interview with the Team (90 mins). You'll meet with potential peers in this session and work through a live technical exercise. Culture Add Interview with Stakeholders (45 mins). The final session will be with two cross functional stakeholders, and will explore how your values align with ours, and is designed to be a genuine two way conversation, your chance to understand what it's really like to work at tem. We welcome applications from people of all backgrounds, experiences, and identities, including those that are traditionally under represented in the tech and energy sectors. If you're excited about this role but not sure you meet every requirement, we'd still love to hear from you. Your unique perspective could be exactly what we're looking for.
Who We Are: We are rebuilding the energy transaction, making it transparent and fair. Our goal is to put power back where it belongs, in the hands of customers and to take on one of the most critical problems of our century, access to low cost electricity. tem exists to fix a broken global energy market that's long favoured legacy operators, intermediaries, and opaque pricing. Today's electricity system was not designed for rapid decarbonisation, AI driven efficiency or fair access for the actual users - businesses and generators. We've built the first AI native transaction infrastructure to reinvent how electricity is bought, sold and priced. Our technology is designed to cut out the inefficient fees, automate complex market flows, and bring transparency and fairness to energy transactions at scale. In late 2025, after extraordinary growth, we closed a $75 million Series B - led by Lightspeed Venture Partners with participation from Albion, Atomico, Allianz, Hitachi Ventures, Hitachi Ventures, Schroders Capital and others - positioning us for global expansion, deeper product innovation and category leadership. We're scaling internationally and building toward a future where AI driven infrastructure is foundational to electricity markets worldwide. Since launch, our modern utility product, known as RED, has already facilitated thousands of business customers and billions in energy transaction value, proving that modern software and AI can transform an industry built on legacy systems. At tem, we're not just building another energy company, we're rearchitecting market infrastructure so that transparency, efficiency and sustainability become the default, not the exception. The Role: Rosso is tem's core IP, the transaction infrastructure that prices electricity for thousands of businesses, balances portfolios in real time, and sits on the critical path for every deal tem closes. The machine learning models inside Rosso forecasting, pricing, and optimisation are what make those decisions possible. Every inference shapes the prices our customers see. Today, tem's ML platform has solid foundations: Metaflow for orchestration, AWS Batch for compute, and automated CI/CD pipelines already in place. That's got Rosso to where it is. But as the number of model types grows and Rosso scales, the platform needs the next layer: structured experiment tracking, a model registry, production monitoring, and self service tooling that lets ML engineers move at pace without being blocked on infrastructure. This role exists to build that layer and define what the platform looks like at scale. You will join the Rosso service alongside a Senior MLOps Engineer in a cross functional team of ML engineers and software engineers. The destination is a platform that is genuinely self service: ML engineers can run experiments, compare models, and ship to production without external intervention. It needs to scale across long horizon forecasting tasks, real time pricing engines, and large scale optimisation workloads - not just the models that exist today. The concrete work ahead is specific: experiment tracking and a model registry are not yet in place. Backtesting infrastructure critical to the forecasting mission needs to be built. Shadow deployments will allow new models to be validated in production before they go live. And the platform needs to be designed for heterogeneous workloads, not just the models that exist today. This is a technical leadership role: you'll define the platform strategy and set the direction for the MLOps, while remaining hands on in the most critical architectural decisions. The right person has seen ML platforms scale well and has learned from the times they haven't. You'll bring that judgment to a platform that can't afford expensive detours. Responsibilities: Own the ML platform strategy: Define the roadmap from Level 1 to Level 2, making architectural decisions ahead of when they'd otherwise become blockers. Keep the platform aligned to Rosso's commercial trajectory. Build the foundations: Lead the design and build of experiment tracking, model registry, automated pipeline infrastructure, and production monitoring across all model types. Deliver backtesting and shadow deployments: Build the infrastructure the forecasting and pricing teams need to validate models reliably against historical data and in production before they go live. Set technical direction: Provide the architectural vision and standards the Senior MLOps Engineer executes against. This is a force multiplier relationship, not a management one. Partner across the team: Work closely with ML engineers and software engineers to understand what the platform needs to unlock the next wave of Rosso capabilities. Translate those needs into principled platform decisions. Choose the right tools: Evaluate the MLOps tooling ecosystem with clear eyes. Make choices that fit tem's scale and workload mix, not what's fashionable. Drive deployment reliability: Push toward more frequent, reliable model deployment cycles as Rosso moves from batch heavy workflows toward live, near real time processes. Define best practices: Establish standards for how models are trained, versioned, deployed, and monitored across the team. Create a platform ML engineers trust. What success looks like: MLOps is no longer a bottleneck, ML engineers are unblocked to focus on model quality. The time to deploy new machine learning models goes from days to minutes. The core features required from the machine learning platform are delivered before they block progress, e.g. backtesting and experiment tracking. Requirements: Must Haves: Scaled an ML platform from early stage: Demonstrable experience taking an ML platform from early stages to best in class infrastructure at a fast moving company. You've been there, done it, and you're comfortable with the messiness and ambiguity that comes with scale up life. ML pipeline expertise: Deep experience across the whole MLOps lifecycle with ML pipeline orchestration (Metaflow, Prefect, Airflow or equivalent) and ML infrastructure (Sagemaker, Vertex AI, Chalk, or equivalent). Model lifecycle tooling: Hands on experience building or operating experiment tracking systems (MLflow, W&B, or similar), model registries, and governance tooling for model fleets at scale. Knows what good looks like and what to avoid. Broad MLOps tooling knowledge: Across the ecosystem monitoring, drift detection, CI/CD for ML, containerisation, IaC (Terraform, AWS CDK). Able to evaluate trade offs and make principled choices for a specific context, not just default to what you know. Technical leadership track record: Evidence of setting platform direction, influencing cross functional teams, and defining standards at Staff+ level. Raises the quality bar through design reviews, code reviews, and mentoring. Knows when to drive strategy and when to get into the weeds. Heterogeneous workload experience: Experience designing and operating platforms serving heterogeneous workloads (e.g. forecasting, classification, operations research, etc.), not just one model type across batch and real time applications. Python, AWS + IaC: Strong Python; hands on experience with AWS and infrastructure as code (Terraform, AWS CDK). Bonus points: Worked in a role where ML is at the core of the product Familiarity with Metaflow specifically Experience with operations research, large scale optimisation in a production context Experience working with business critical time series forecasting models Exposure to reinforcement learning in a production setting Exposure to production LLM workloads, e.g. fine tuning Interview Process: Our processes normally take around 2-3 weeks from first call to offer - please let us know about any adjustments to timelines that may be required. First call with our Talent Team (30 mins). This is to understand your experience, motivations, and discuss the role in more detail. Behaviour Interview with Tim, Head of Data (60 mins). This is your chance to really understand the role, the expectations, and ensure alignment on ways of working. Technical Interview with the Team (90 mins). You'll meet with potential peers in this session and work through a live technical exercise. Culture Add Interview with Stakeholders (45 mins). The final session will be with two cross functional stakeholders, and will explore how your values align with ours, and is designed to be a genuine two way conversation, your chance to understand what it's really like to work at tem. We welcome applications from people of all backgrounds, experiences, and identities, including those that are traditionally under represented in the tech and energy sectors. If you're excited about this role but not sure you meet every requirement, we'd still love to hear from you. Your unique perspective could be exactly what we're looking for.
Experis IT
Role Title: Oracle OHI DevOps Engineer Duration: contract to run until 18/12/2026 Location: London. Hybrid, 3 days per week onsite Rate: up to £354.20 p/d Umbrella inside IR35 Role purpose/summary We are seeking a highly skilled and motivated Oracle Health Insurance (OHI) DevOps Engineer to support the delivery, automation, and continuous improvement of our OHI platform. This role will sit at the intersection of development, infrastructure, and operations, ensuring reliable, secure, and efficient deployments across environments. The successful candidate will play a critical role in managing release pipelines, maintaining version control processes, and enabling seamless integration between Oracle-delivered assets and internal systems. This is an excellent opportunity for someone who is passionate about DevOps practices and has experience working within complex enterprise environments, particularly within healthcare or insurance systems. Key Responsibilities DevOps Pipeline Development & Management Design, build, and maintain Azure DevOps pipelines to support automated deployment of Oracle OHI components across multiple environments (Dev, Test, UAT, Production). Ensure pipelines are robust, repeatable, and aligned with best practices in CI/CD. Oracle OHI Deployment Management Work closely with Oracle delivery teams and internal stakeholders to manage OHI releases, patches, and updates. Take ownership of deployment activities and ensure successful implementation with minimal downtime. Source Control & Release Integration Take the files provided by Oracle and manage them through version control processes. Specifically, you will take the files Oracle sends to Bupa, place them in Git, and create an Azure DevOps pipeline to manage and automate deployments. Maintain repository structure, branching strategies, and release tagging standards. Environment & Configuration Management Ensure consistent configuration across environments using Infrastructure as Code (IaC) principles where applicable. Manage environment-specific variables and secrets securely. Automation & Process Improvement Identify opportunities to reduce manual intervention in build and release processes. Implement automation scripts and tools to streamline the delivery life cycle. Monitoring & Support Provide support for production releases and troubleshoot pipeline failures or deployment issues. Work closely with support teams to resolve incidents and ensure service stability. Collaboration & Stakeholder Engagement Work collaboratively with architects, developers, testers, and business stakeholders to ensure smooth release cycles. Act as a bridge between Oracle delivery teams and internal IT functions. Documentation & Governance Maintain clear and comprehensive documentation of deployment processes, pipelines, and configurations. Ensure adherence to internal governance, security standards, and compliance requirements. Required Skills & Experience Proven experience in a DevOps or Release Engineering role, ideally within enterprise environments Strong hands-on experience with Azure DevOps (pipelines, repos, artifacts, release management) Experience with Git version control, including branching and merging strategies Familiarity with Oracle Health Insurance (OHI) or other Oracle enterprise applications Experience designing and managing CI/CD pipelines Knowledge of Scripting languages (PowerShell, Bash, or similar) Understanding of deployment automation and configuration management practices Strong troubleshooting and problem-solving skills Desirable Skills Experience working within the health insurance or healthcare domain Familiarity with cloud platforms (Azure preferred) Knowledge of containerisation tools such as Docker or Kubernetes Experience implementing Infrastructure as Code (eg, Terraform, ARM templates) Understanding of security best practices in DevOps pipelines Personal Attributes Strong attention to detail and commitment to quality Ability to work independently and take ownership of deliverables Excellent communication and stakeholder management skills Proactive mindset with a focus on continuous improvement Ability to operate effectively in a fast-paced, delivery-focused environment All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply! If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
Role Title: Oracle OHI DevOps Engineer Duration: contract to run until 18/12/2026 Location: London. Hybrid, 3 days per week onsite Rate: up to £354.20 p/d Umbrella inside IR35 Role purpose/summary We are seeking a highly skilled and motivated Oracle Health Insurance (OHI) DevOps Engineer to support the delivery, automation, and continuous improvement of our OHI platform. This role will sit at the intersection of development, infrastructure, and operations, ensuring reliable, secure, and efficient deployments across environments. The successful candidate will play a critical role in managing release pipelines, maintaining version control processes, and enabling seamless integration between Oracle-delivered assets and internal systems. This is an excellent opportunity for someone who is passionate about DevOps practices and has experience working within complex enterprise environments, particularly within healthcare or insurance systems. Key Responsibilities DevOps Pipeline Development & Management Design, build, and maintain Azure DevOps pipelines to support automated deployment of Oracle OHI components across multiple environments (Dev, Test, UAT, Production). Ensure pipelines are robust, repeatable, and aligned with best practices in CI/CD. Oracle OHI Deployment Management Work closely with Oracle delivery teams and internal stakeholders to manage OHI releases, patches, and updates. Take ownership of deployment activities and ensure successful implementation with minimal downtime. Source Control & Release Integration Take the files provided by Oracle and manage them through version control processes. Specifically, you will take the files Oracle sends to Bupa, place them in Git, and create an Azure DevOps pipeline to manage and automate deployments. Maintain repository structure, branching strategies, and release tagging standards. Environment & Configuration Management Ensure consistent configuration across environments using Infrastructure as Code (IaC) principles where applicable. Manage environment-specific variables and secrets securely. Automation & Process Improvement Identify opportunities to reduce manual intervention in build and release processes. Implement automation scripts and tools to streamline the delivery life cycle. Monitoring & Support Provide support for production releases and troubleshoot pipeline failures or deployment issues. Work closely with support teams to resolve incidents and ensure service stability. Collaboration & Stakeholder Engagement Work collaboratively with architects, developers, testers, and business stakeholders to ensure smooth release cycles. Act as a bridge between Oracle delivery teams and internal IT functions. Documentation & Governance Maintain clear and comprehensive documentation of deployment processes, pipelines, and configurations. Ensure adherence to internal governance, security standards, and compliance requirements. Required Skills & Experience Proven experience in a DevOps or Release Engineering role, ideally within enterprise environments Strong hands-on experience with Azure DevOps (pipelines, repos, artifacts, release management) Experience with Git version control, including branching and merging strategies Familiarity with Oracle Health Insurance (OHI) or other Oracle enterprise applications Experience designing and managing CI/CD pipelines Knowledge of Scripting languages (PowerShell, Bash, or similar) Understanding of deployment automation and configuration management practices Strong troubleshooting and problem-solving skills Desirable Skills Experience working within the health insurance or healthcare domain Familiarity with cloud platforms (Azure preferred) Knowledge of containerisation tools such as Docker or Kubernetes Experience implementing Infrastructure as Code (eg, Terraform, ARM templates) Understanding of security best practices in DevOps pipelines Personal Attributes Strong attention to detail and commitment to quality Ability to work independently and take ownership of deliverables Excellent communication and stakeholder management skills Proactive mindset with a focus on continuous improvement Ability to operate effectively in a fast-paced, delivery-focused environment All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply! If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
Robert Walters
Manchester, Lancashire
Application Engineer Location: Oxford Street, Manchester Role Type: Permanent Work Setup: Hybrid - 3 days in the office (Tuesday to Thursday) Who We Are Vanguard is one of the world's leading investment firms, dedicated to helping clients achieve lasting financial success. Established in 1975, its unique ownership structure-where funds own the company and investors own the funds-ensures all efforts are focused on client outcomes. Known for integrity, innovation, and low-cost investing, fosters an inclusive and collaborative culture that empowers employees to make a meaningful impact globally. What You'll Do Lead senior-level systems analysis, design, development and implementation of applications and databases, including integration of third-party products. Translate technical specifications into efficient, well-tested code for complex new builds and enhancements, producing programmes, reports and test artefacts. Promote automation-friendly development practices by designing and implementing tests that support continuous integration and delivery. Deploy code across development, test and production environments on schedule, provide production follow-up support, and manage change-control documentation. Apply and advocate development methodology and architecture standards; mentor less-experienced colleagues and resolve escalated technical issues. Engage with internal clients and cross-functional teams to perform systems analysis, explain technical considerations at the appropriate level, and ensure solutions meet business and technology needs. Ensure compliance with IT and information-security policies, verify deliverables meet requirements, and participate in special projects or other duties as required. What You Bring Minimum five years' hands-on experience in software development, system integration, database design and Back End architecture. Bachelor's or Master's Degree/Diploma in Computer Science or in an equivalent discipline. Proven expertise in Server Side development and API management, with strong skills in database design, optimisation, debugging and performance tuning. Required technical stack: Java, Spring Boot, Node.js, Angular (Front End essential), SQL, GitHub/Bitbucket, Bamboo, CI/CD, TDD/BDD; plus experience with Python. Practical experience with AWS services (CloudFormation, ECS/Fargate, Lambda, DynamoDB, S3, IAM); AWS Cloud Practitioner certification preferred. Observability and tooling experience with Splunk, Honeycomb Agile working knowledge (JIRA, Confluence) What's Next If you are ready to take the next step, apply now! Successful applicants will be contacted directly by a recruiter to discuss the role more. We are committed to creating an inclusive recruitment experience. If you require support or adjustments to the recruitment process, our Adjustment Concierge Service is here to help. Please feel free to contact us at (see below) to discuss how we can support you. This position is being recruited on behalf of our client through our Outsourcing service line. Resource Solutions Limited, trading as Robert Walters, acts as an employment business and agency, partnering with top organizations to help them find the best talent. We welcome applications from all candidates and are committed to providing equal opportunities.
Application Engineer Location: Oxford Street, Manchester Role Type: Permanent Work Setup: Hybrid - 3 days in the office (Tuesday to Thursday) Who We Are Vanguard is one of the world's leading investment firms, dedicated to helping clients achieve lasting financial success. Established in 1975, its unique ownership structure-where funds own the company and investors own the funds-ensures all efforts are focused on client outcomes. Known for integrity, innovation, and low-cost investing, fosters an inclusive and collaborative culture that empowers employees to make a meaningful impact globally. What You'll Do Lead senior-level systems analysis, design, development and implementation of applications and databases, including integration of third-party products. Translate technical specifications into efficient, well-tested code for complex new builds and enhancements, producing programmes, reports and test artefacts. Promote automation-friendly development practices by designing and implementing tests that support continuous integration and delivery. Deploy code across development, test and production environments on schedule, provide production follow-up support, and manage change-control documentation. Apply and advocate development methodology and architecture standards; mentor less-experienced colleagues and resolve escalated technical issues. Engage with internal clients and cross-functional teams to perform systems analysis, explain technical considerations at the appropriate level, and ensure solutions meet business and technology needs. Ensure compliance with IT and information-security policies, verify deliverables meet requirements, and participate in special projects or other duties as required. What You Bring Minimum five years' hands-on experience in software development, system integration, database design and Back End architecture. Bachelor's or Master's Degree/Diploma in Computer Science or in an equivalent discipline. Proven expertise in Server Side development and API management, with strong skills in database design, optimisation, debugging and performance tuning. Required technical stack: Java, Spring Boot, Node.js, Angular (Front End essential), SQL, GitHub/Bitbucket, Bamboo, CI/CD, TDD/BDD; plus experience with Python. Practical experience with AWS services (CloudFormation, ECS/Fargate, Lambda, DynamoDB, S3, IAM); AWS Cloud Practitioner certification preferred. Observability and tooling experience with Splunk, Honeycomb Agile working knowledge (JIRA, Confluence) What's Next If you are ready to take the next step, apply now! Successful applicants will be contacted directly by a recruiter to discuss the role more. We are committed to creating an inclusive recruitment experience. If you require support or adjustments to the recruitment process, our Adjustment Concierge Service is here to help. Please feel free to contact us at (see below) to discuss how we can support you. This position is being recruited on behalf of our client through our Outsourcing service line. Resource Solutions Limited, trading as Robert Walters, acts as an employment business and agency, partnering with top organizations to help them find the best talent. We welcome applications from all candidates and are committed to providing equal opportunities.
Robert Walters
Manchester, Lancashire
Solution Architect Martech Location: Manchester Role Type: Permanent Work Setup: Hybrid Who We Are We are a consultancy operating within Robert Walters, the world's most trusted talent solutions business. Across the globe, we deliver recruitment, outsourcing, and talent advisory services for businesses of all sizes, opening doors for people with diverse skills, ambitions, and backgrounds. The Role We have an exciting new opportunity for a Solution Architect Martech to join Robert Walters as a Consultant. As a Consultant, you will benefit from permanent employment with Robert Walters and will be deployed on an assignment within our clients' organisations, in return we will provide you with the opportunity to develop your skills with ongoing training and professional support. This role offers an exciting opportunity to join a global business, providing top-tier service to our blue chip clients. What You'll Do Own and maintain product roadmaps and architecture in line with business strategy and enterprise architecture, ensuring long term technical direction and feasibility. Collaborate with the architecture community, product teams and technology experts to align products with target architectures and platform roadmaps, and to improve development tools and processes. Provide senior technical expertise and guidance to product teams, resolving complex issues, assessing risks and recommending robust solutions. Evaluate vendors and technologies, lead build vs buy assessments, and support procurement decisions through feasibility analysis. Establish and help manage architecture governance and standards, track industry trends and emerging technologies, and translate findings into actionable improvements. Produce and present product documentation, mentor junior colleagues, and contribute to special projects and other assigned duties. What You Bring Minimum 8 years' relevant experience, including at least three years in a technology architect role designing and delivering enterprise solutions. Degree in Computer Science, Information Technology, or Computer Applications (B.E./B.Tech or BCA) from a recognised institution; MBA preferred. Strong expertise in enterprise architecture, system integration and scalable solution design across cloud platforms (AWS, Azure, GCP), microservices, API design and DevOps practices. Hands on experience with conversational AI (Kore.AI and similar platforms), intelligent automation, and data heavy architectures (AWS, Kafka); familiarity with Adobe tools. Proven capability with modern development stacks (Java, .NET, Python, JavaScript frameworks), Agile/SAFe delivery methods, and build versus buy, vendor management and TCO/ROI analysis. Excellent technical risk assessment, governance and compliance understanding, strong analytical and problem solving skills, and effective stakeholder management and communication. What's Next If you are ready to take the next step, apply now! Successful applicants will be contacted directly by a recruiter to discuss the role more. We are committed to creating an inclusive recruitment experience. If you require support or adjustments to the recruitment process, our Adjustment Concierge Service is here to help. Please feel free to contact us at (see below) to discuss how we can support you. This position is being recruited on behalf of our client through our Outsourcing service line. Resource Solutions Limited, trading as Robert Walters, acts as an employment business and agency, partnering with top organizations to help them find the best talent. We welcome applications from all candidates and are committed to providing equal opportunities.
Solution Architect Martech Location: Manchester Role Type: Permanent Work Setup: Hybrid Who We Are We are a consultancy operating within Robert Walters, the world's most trusted talent solutions business. Across the globe, we deliver recruitment, outsourcing, and talent advisory services for businesses of all sizes, opening doors for people with diverse skills, ambitions, and backgrounds. The Role We have an exciting new opportunity for a Solution Architect Martech to join Robert Walters as a Consultant. As a Consultant, you will benefit from permanent employment with Robert Walters and will be deployed on an assignment within our clients' organisations, in return we will provide you with the opportunity to develop your skills with ongoing training and professional support. This role offers an exciting opportunity to join a global business, providing top-tier service to our blue chip clients. What You'll Do Own and maintain product roadmaps and architecture in line with business strategy and enterprise architecture, ensuring long term technical direction and feasibility. Collaborate with the architecture community, product teams and technology experts to align products with target architectures and platform roadmaps, and to improve development tools and processes. Provide senior technical expertise and guidance to product teams, resolving complex issues, assessing risks and recommending robust solutions. Evaluate vendors and technologies, lead build vs buy assessments, and support procurement decisions through feasibility analysis. Establish and help manage architecture governance and standards, track industry trends and emerging technologies, and translate findings into actionable improvements. Produce and present product documentation, mentor junior colleagues, and contribute to special projects and other assigned duties. What You Bring Minimum 8 years' relevant experience, including at least three years in a technology architect role designing and delivering enterprise solutions. Degree in Computer Science, Information Technology, or Computer Applications (B.E./B.Tech or BCA) from a recognised institution; MBA preferred. Strong expertise in enterprise architecture, system integration and scalable solution design across cloud platforms (AWS, Azure, GCP), microservices, API design and DevOps practices. Hands on experience with conversational AI (Kore.AI and similar platforms), intelligent automation, and data heavy architectures (AWS, Kafka); familiarity with Adobe tools. Proven capability with modern development stacks (Java, .NET, Python, JavaScript frameworks), Agile/SAFe delivery methods, and build versus buy, vendor management and TCO/ROI analysis. Excellent technical risk assessment, governance and compliance understanding, strong analytical and problem solving skills, and effective stakeholder management and communication. What's Next If you are ready to take the next step, apply now! Successful applicants will be contacted directly by a recruiter to discuss the role more. We are committed to creating an inclusive recruitment experience. If you require support or adjustments to the recruitment process, our Adjustment Concierge Service is here to help. Please feel free to contact us at (see below) to discuss how we can support you. This position is being recruited on behalf of our client through our Outsourcing service line. Resource Solutions Limited, trading as Robert Walters, acts as an employment business and agency, partnering with top organizations to help them find the best talent. We welcome applications from all candidates and are committed to providing equal opportunities.
