Technology Solution Engineer

Role Overview  The Technology Solution Engineer works with business and technology stakeholders to shape technical solutions, then builds them. This is a deliberately broad, hands-on role that combines consultative solution design with real delivery across the enterprise technology platforms. 

At this level, the Technology Solution Engineer owns solutions end to end. The role runs requirement workshops directly with business stakeholders, authors the design, makes independent technical decisions, and leads the build through to operational handover. Work spans the full platform estate rather than a single technology, and includes reviewing the work of others and mentoring less experienced engineers. 

The platforms in scope include cloud infrastructure on Microsoft Azure and Amazon Web Services, integration, automation, APIs, containers, and web hosting. Platforms are run both as internal products and as managed services, so the role carries accountability for how solutions run as well as how they are built. 

Key Responsibilities  Solution Consulting and Design  Engage business functions and technology stakeholders to understand objectives, constraints, and the problem behind the request.  Facilitate requirement and design workshops, and translate outcomes into clear technical solution designs.  Produce options analyses with honest trade-offs across cost, risk, delivery time, supportability, and strategic fit.  Author solution designs, architecture decision records, interface definitions, and non-functional requirements.  Cross-Platform Solution Delivery  Design and build solutions spanning cloud infrastructure, integration, APIs, automation, containers, and web hosting.  Provision and configure platform services using Terraform, Ansible, and the approved Infrastructure as Code toolchain.  Develop supporting automation and tooling in Python, PowerShell, Bash, or another appropriate language.  Lead technical delivery of solutions involving multiple platforms and multiple contributing teams.  Service Transition and Operational Ownership  Ensure solutions meet operational readiness criteria before production release, including monitoring, alerting, runbooks, backup, and recovery.  Instrument solutions for observability using Datadog, Dynatrace, Prometheus, Grafana, Splunk, Cribl, or Observe.  Own investigation and resolution of complex issues, root-cause analysis, and preventive corrective actions.  Security, Compliance, and Risk  Design and build to enterprise security standards, applying identity and access patterns based on Entra ID, Okta, OAuth2, and least privilege.  Manage secrets and certificates through HashiCorp Vault, CyberArk, and cloud-native key services.  Identify and articulate technical risk, technical debt, and exceptions, with practical remediation proposals.  Technical Craft and Engineering Practices  Write clean, tested, peer-reviewed code and configuration, managed in version control with trunk-based practices.  Review the work of other engineers and raise the standard of design and implementation across the team.  Use AI-assisted engineering tools such as GitHub Copilot and Claude Code to accelerate design, development, testing, and documentation, applying appropriate review and technical judgement.  Collaboration and Ways of Working  Work within an agile team with a shared backlog, defined customers, and service-level objectives.  Act as a credible technical partner to business stakeholders, explaining trade-offs in plain language.  Coordinate across platform, cloud, integration, web, security, architecture, and operations teams.  Mentor less experienced engineers through pairing, review, and structured feedback.  Qualifications  Required  Demonstrated capability in solution engineering, platform engineering, or technical delivery Strong hands-on experience with at least one major public cloud, with practical exposure to a second.  Proven ability to own a solution end to end, from requirements through design, build, and operational handover.  Practical Infrastructure as Code experience with Terraform, and configuration management with Ansible.  Proficiency in at least one scripting or programming language such as Python, PowerShell, Bash, JavaScript, or Java.  Working knowledge across several of: containers and Kubernetes, integration and APIs, web hosting, networking, and identity.  Demonstrated ability to run workshops and engage business stakeholders directly.  Clear written and verbal communication in English, including presenting designs to technical and non-technical audiences.  Preferred  Experience mentoring engineers or leading small technical workstreams.  Experience with OpenShift, Backstage or another developer portal, and GitOps tooling.  Experience with integration or API platforms such as MuleSoft, Kafka, Solace, or Kong.  Experience with web and application server technologies such as IIS, Tomcat, Apache, or Nginx.  Experience delivering within a validated, GxP, or otherwise regulated environment, including awareness of data-protection obligations such as GDPR.  Certifications such as AWS or Azure professional or expert level, Certified Kubernetes Administrator, HashiCorp Terraform Associate, ITIL, or an agile qualification.  A bachelor's degree in computer science, engineering, information technology, or a related discipline.  Core Competencies  Consultative mindset with genuine interest in the business problem  Strong technical judgement and architectural awareness  Breadth across technologies combined with useful depth in several  Clear communication and stakeholder credibility  Bias toward reuse, standardisation, and simplification  Ownership and accountability from design through to operation  Willingness to mentor and raise the standard around them  Measures of Success  Solutions delivered to agreed scope, quality, cost, and timeline  Increased reuse of approved patterns and platform capabilities, and reduced bespoke build  Reduced defects, rework, and post-implementation incidents  Improved availability and supportability of delivered solutions  Stakeholder satisfaction and repeat demand from business functions  Reduced security findings and audit exceptions in delivered solutions  Demonstrable growth in the engineers mentored 

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