Senior Solutions Engineer (AI & Automation Tools)

Finto

ABOUT FINTO Finto is on a mission to reinvent how enterprises run their finance operations. Starting with AI-powered automation for accounts payable, we eliminate manual invoice handling, supplier chasing, 3-Way-Matching and ERP data entry. Backed by Y Combinator, we’re building the future of enterprise accounting. Our mission is to free the world’s finance teams from repetitive, low-value tasks so they can focus on impactful work. That starts with building a place where everyone can do their best work. Whether you’re building on our platform, partnering with our customers, or shaping our story: We just make things finance teams want. ABOUT THE ROLE We are looking for a (Senior) Product Engineer to join our team, focused on building and optimizing the next generation of AI-powered enterprise finance tools. As part of the founding engineering team, you will play a pivotal role in shaping our platform and helping some of the world’s largest companies eliminate their manual accounting work. You’ll work side-by-side with our founders to turn ideas into high-performing, elegant features that slot seamlessly into our customers’ existing processes. Your work will directly define how finance teams experience AI automation - in real life, at scale. We’re headquartered in Munich, with roots in San Francisco through Y Combinator. WHAT YOU’LL DO * Build and enhance AI-powered automation tools for invoice processing, ERP integration, and complete accounting workflows. * Architect performant, scalable, and reliable solutions for mission-critical finance operations. * Optimize and refine AI models for accuracy, speed, and usability in real-world scenarios. * Deliver exceptional user experiences through thoughtful UI/UX design, using frameworks like React, Node. * Stay ahead of emerging trends in AI, Web, ERP technology, and automation - and bring the best of them into our platform. * Troubleshoot and resolve complex challenges, ensuring our AI-powered workflows run reliably at scale. WHAT WE’RE LOOKING FOR * 3–5+ years in full-stack development, ideally building AI-powered or enterprise-focused products. * Strong JavaScript/TypeScript skills with experience in React and Next.js. * Backend expertise in Node.js or comparable languages like Python or Go, with a focus on scalable APIs and AI-driven services. * Hands-on experience with AI models and APIs * A builder’s mindset - passionate about developer experience and how AI can enhance productivity. * Excellent problem-solving and communication skills in fast-moving, collaborative environments. WORK AT FINTO * Career-defining growth: Big ambitions mean rapid progression, expanding responsibilities, and access to our San Francisco & YC network. * Competitive pay & meaningful equity: Share in the upside of a YC-backed, fast-scaling company. * 25 vacation days + 2 fixed “company recharge days.” * Twice-yearly team offsites and hacker weeks in Europe or San Francisco. INTERVIEW PROCESS 1. Intro Call – 30 mins with a founder 2. Deep Dive – 45 mins on product & tech fit 3. Technical Interview – 90 mins onsite coding & design challenge 4. Meet the team and Reference Calls 5. Offer

Triple Point

Since 2004, we’ve been bringing investment ideas to life and connecting capital with the right people and opportunities. Today, we manage more than £2.5 billion for a broad range of investors across five key investment strategies: Private Credit, Social Housing, Clean Heat, Energy and Venture. These strategies underpin the innovative range of investments we offer to both private (retail) and institutional clients.  There are 230+ employees at Triple Point, all committed to leaving the world demonstrably better than we found it. That’s why we’re a certified B Corp, signed up to the Principles for Responsible Investment, and were named a Sunday Times 'Best Place to Work  2025 & 2026'. If this sounds like an environment where you would flourish, then read on… The Function  The Digital and Technology team designs, builds and maintains the systems that power Triple Point. The function enables seamless connectivity, security and innovation across the organisation, creating tools and platforms that help colleagues and partners work smarter and deliver excellent outcomes.  The Team  This role sits within Technical Operations & Cyber, within the wider Digital and Technology function. The role works closely with colleagues across D&T, our MSP, our SOC and stakeholders across the business. The team is responsible for keeping our technology secure, reliable and high performing while improving delivery pace through automation, cloud engineering and emerging technology.  The Role  We are seeking a Senior DevOps Engineer to lead hands-on DevOps and platform engineering across Triple Point’s Microsoft cloud and AI delivery landscape.  You will design, build and operate secure deployment pipelines, automation, monitoring and infrastructure-as-code patterns that enable cloud and AI workloads to move safely and at pace. As our use of Claude Code, AI agents and automation grows, this role will provide the engineering foundations to run these capabilities reliably, securely and with clear governance.  Working closely with the Head of Technical Operations & Cyber and our Senior Cyber Engineer, you will help enable pragmatic, risk-aware decisions on cloud and AI tooling, ensuring a balance between delivery pace and security, governance and operational sustainability.  This is a delivery-focused role owning engineering work end-to-end, from discovery and design through to implementation, documentation and transition into BAU. You will help remove delivery bottlenecks, strengthen platform maturity and make practical recommendations that balance pace, reliability, security and usability.  Key Responsibilities  DevOps, Cloud Platform & CI/CD Engineering  * Design, build, maintain and improve CI/CD pipelines for cloud, integration, automation and AI workloads.  * Create reusable infrastructure-as-code patterns, templates and standards for secure, consistent cloud deployments.  * Improve release management, environment management and deployment controls across development, test and production environments.  * Support source control, branching, build, test and deployment practices that help teams deliver safely and efficiently.  * Build practical engineering standards for service principals, managed identities, secrets, configuration, certificates and environment separation.    Automation, AI Enablement & Developer Experience  * Enable safe, reliable deployment and operation of Claude Code, AI agents and similar AI-assisted development tooling.  * Automate repeatable operational, deployment and monitoring tasks to reduce manual effort and improve consistency.  * Develop self-service patterns, reusable scripts and documentation that make it easier for colleagues to adopt approved engineering practices.  * Work with current and future AI Team colleagues to lay the technical foundations for agent automation and cloud-based AI delivery.  * Identify opportunities to simplify tooling, reduce friction and improve the developer and stakeholder experience.    Reliability, Monitoring & Operational Readiness  * Design and improve monitoring, logging, alerting and reporting across pipelines, platforms and cloud workloads.  * Create runbooks, deployment checklists and operational handover materials that support effective BAU ownership.  * Support incident response, root-cause analysis and continuous improvement for deployment or platform reliability issues.  * Improve resilience, recovery and performance practices for key services and automation workloads.  * Use data from monitoring and service performance to recommend improvements and prioritise platform work.    Security, Governance & Documentation  * Embed security-by-design into DevOps practices, including least privilege, secure configuration, secrets management and change control.  * Work closely with Technical Operations & Cyber, the SOC and MSP partners to ensure cloud and AI tooling is operated securely.  * Maintain clear documentation of pipeline designs, infrastructure standards, access models, monitoring arrangements and operational guardrails.  * Support audits, assurance activity and evidence gathering where DevOps, cloud or platform controls are in scope.  * Balance security, usability and delivery pace when assessing risks, trade-offs and recommendations.    Collaboration, Planning & Continuous Improvement  * Plan and prioritise DevOps improvements based on impact, value, risk and delivery needs.  * Translate technical complexity into clear recommendations for technical and non-technical stakeholders.  * Partner constructively across Digital and Technology, internal stakeholders and external technology partners.  * Challenge current ways of working where needed and recommend pragmatic improvements with clear rationale.  * Share knowledge generously and help raise DevOps capability across the function and organisation.    Knowledge & Experience  Essential  * Significant hands-on experience in DevOps, platform engineering, cloud engineering or a closely related engineering role.  * Strong experience designing and maintaining CI/CD pipelines using tools such as Azure DevOps, GitHub Actions, GitLab CI or equivalent.  * Good working knowledge of Microsoft Azure and Microsoft cloud services, including deployment, access, monitoring and governance considerations.  * Experience with infrastructure-as-code and automation tools such as Terraform, Bicep, ARM templates, PowerShell or equivalent.  * Proficiency in Python for scripting, automation and tooling able to write, read and maintain production-quality scripts, not just adapt examples.  * Working knowledge of core Azure networking concepts, including VNets, NSGs, DNS, private endpoints and load balancers, with practical experience applying these in cloud and containerised workloads.  * Strong understanding of Git, source control workflows, release management, environment management and secure software delivery practices.  * Experience implementing monitoring, logging and alerting for cloud platforms, pipelines or application workloads.  * Strong grounding in cloud security principles, including identity and access, least privilege, secrets management, network security and secure configuration.  * Awareness of cloud cost management principles, including resource tagging standards, right-sizing, and governance for spend able to recommend efficient, cost-conscious approaches rather than just functional ones.  * Ability to translate technical requirements and risk considerations into pragmatic, well-documented engineering solutions.  * Comfortable working with the Head of Technical Operations & Cyber to make pragmatic, risk-aware decisions that balance delivery pace with security and governance requirements.  * Excellent communication skills, with the ability to work effectively with technical teams, senior stakeholders and external partners.  * A self-starter mindset, with strong planning, problem-solving and ownership of delivery outcomes.    Desirable  AI & Automation  * Experience deploying, governing or operating AI-assisted development tools, agent automation or cloud-based AI workloads.  Microsoft Platform  * Experience working with Microsoft 365, Entra ID, Intune, Sentinel, Azure Monitor, Log Analytics or similar Microsoft tooling.  * Relevant certifications such as AZ-400, AZ-104, AZ-305, AZ-500, Terraform Associate, GitHub certifications or equivalent hands-on experience.  Containers & Orchestration  * Experience with containers and orchestration technologies such as Docker, Kubernetes or Azure Container Apps.  Broader Platform & Integrations  * Experience supporting Salesforce, data platform, integration or business automation workloads.  Regulated Environments  * Experience working in a regulated services environment, ideally FCA-regulated.  Why Join us?  This is a key role at the point where DevOps, cloud automation and AI capability are becoming central to how Triple Point delivers technology safely and effectively.  * You’ll join a talented, collaborative team in a connected environment where ideas and initiative are valued.  * Be part of a growing and innovative team.  * We offer a competitive salary, a comprehensive benefits package, and genuine opportunities for growth and progression.  * Opportunities for professional development and career progression.  At Triple Point, high performance means living our values every day:  * Stay Curious.  * Be Generous.  * Take Thoughtful Action.  * Pull Together.  * Own It.  In line with our values Stay Curious and Take Thoughtful Action every employee has access to AI tools.  We see technology as a co-pilot, helping us improve efficiency and insight while keeping decisions grounded in thoughtful human judgement.  Triple Point offers a wealth of benefits including a contributory pension, hybrid/flexible working and ongoing learning and development opportunities. Check out our comprehensive list of benefits HERE.  Apply today for further information! Triple Point is dedicated to providing fair and equal opportunities for all individuals, including both current and potential employees. Discrimination of any kind based on factors such as age, disability, gender, sexual orientation, pregnancy, race, ethnicity, religion, gender identity, or marital status is not tolerated by the company. Our aim is to create a welcoming and diverse work environment where people from all walks of life feel valued and supported. We actively encourage individuals from various backgrounds to apply for job vacancies and become part of our team.  STRICTLY NO AGENCIES

Cenosco

YOUR PROFILE Are you a senior DevOps and infrastructure engineer who enjoys building reliable cloud platforms, enabling engineering teams, and using AI to remove operational complexity? At Cenosco, we build Asset Integrity Management software trusted by global leaders in Oil & Gas, Chemicals, and Energy. We are looking for someone who can strengthen our DevOps foundation, evolve our infrastructure, and help us use AI-powered tools to automate how we build, deploy, monitor, and operate our platform.    This role is primarily focused on DevOps, infrastructure enablement, IaC, deployment automation, and platform reliability. You will also play an important part in shaping how we use AI and agentic tooling (i.e. Copilot, Cursor, Codex, and similar tools) to make DevOps work faster, smarter, and more scalable.    WHAT YOU'LL DO   DevOps, Infrastructure & Platform Enablement  * Design, build, and maintain scalable cloud infrastructure on Azure, with a strong focus on reliability, security, performance, and operational simplicity. * Own and improve Infrastructure as Code practices using Terraform, Pulumi, or similar tools, creating reusable patterns that help teams provision and manage environments consistently. * Build, optimize, and automate CI/CD pipelines for application, infrastructure, and platform deployments across environments. * Enable engineering teams by creating self-service infrastructure, deployment templates, automation scripts, documentation, and platform standards. * Drive containerization and orchestration practices using Kubernetes and Talos, ensuring our platform can scale reliably and efficiently. * Embed security, compliance, monitoring, and disaster recovery considerations into infrastructure and deployment workflows from the start. AI-Assisted DevOps Automation  * Use AI-assisted and agentic tools to automate repetitive DevOps work, including pipeline creation, IaC generation, environment provisioning, deployment workflows, and operational runbooks. * Experiment with tools such as GitHub Copilot, Cursor, Codex, and similar solutions to improve engineering productivity and reduce manual infrastructure effort. * Identify opportunities to apply AI to troubleshooting, incident response, monitoring, release management, and platform operations. * Help define practical, secure, and scalable ways of using AI in DevOps processes, while maintaining strong engineering standards and governance. Observability, Reliability & Continuous Improvement  * Improve monitoring, alerting, logging, and observability practices to help teams detect issues earlier and resolve incidents faster. * Analyze platform performance, deployment quality, incidents, and recurring operational patterns to recommend practical improvements. * Collaborate closely with software engineering, security, product, and architecture teams to continuously improve our delivery and infrastructure standards. WHAT YOU'LL NEED  * 8+ years of professional experience in DevOps & Infrastructure engineering, Platform engineering, or a similar role in a SaaS or product-based environment. * Hands-on experience with Azure (or similar) cloud services and cloud-native infrastructure design * Strong practical knowledge of CI/CD, deployment automation, release pipelines, and environment management. * Experience with Infrastructure as Code tools such as Terraform, Pulumi, or similar technologies. * Good understanding of containers, Kubernetes, AKS, Ansilbe, Packer, networking, security, monitoring, and reliability practices. * Practical experience using AI-assisted coding or automation tools, or a strong interest in applying them to DevOps and infrastructure workflows. * A strong enablement mindset: you enjoy creating standards, reusable solutions, documentation, and automation that help engineering teams move faster andmore safely. BONUS POINTS  * Experience using machine learning, heuristic analysis, or AI-assisted techniques to analyze logs, detect anomalies, spot trends, and support proactive troubleshooting. * Experience building internal developer platforms, self-service deployment workflows, golden paths, or platform engineering tooling. * Experience with security automation, policy-as-code, cost optimization, or FinOps practices in cloud environments. * Exposure to AI infrastructure, MLOps, data pipelines, or supporting engineering teams that build AI-enabled products. WORKING LOCATIONS * Croatia, Zagreb - Hybrid * Croatia, Pula - Hybrid * UK - Remote WHY JOIN US?  * Join a product-focused engineering environment where DevOps and infrastructure directly enable scale, reliability, and innovation. * Shape modern cloud, infrastructure, and deployment practices across a growing SaaS platform. * Introduce practical AI-driven automation that helps engineering teams work faster, smarter, and with greater confidence. * Work on meaningful platform improvements that reduce manual effort, improve reliability, and create a better developer experience.