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Trust in Soda are representing a leading Swiss bank embarking on a major Generative AI transformation. They are building a secure, enterprise-grade platform to enable Azure OpenAI and AI services across the organisation, and are seeking an experienced Azure Solution Architect to design and deliver this next phase of innovation.The RoleYou’ll play a pivotal part in shaping the GenAI integration strategy, designing a gateway for logging, monitoring, and routing, and ensuring the solution works seamlessly across on-prem and cloud. Working closely with senior stakeholders, including the Head of Technology, you’ll translate technical strategy into clear business value and drive adoption across the bank.Security is at the heart of everything – you’ll ensure that every step of the solution complies with stringent banking IT and security standards.What You’ll DoDefine the overall GenAI architecture and strategy on AzureDesign a secure gateway solution while evaluating alternative approachesVisualise and communicate architecture, diagrams, and roadmaps to technical and non-technical stakeholdersPartner with engineering teams to scale early pilots into full enterprise adoptionIntegrate with Azure AI services (OpenAI, AI Search, Document Intelligence, Cognitive Services, etc.)Ensure strict security, compliance, and monitoring practices are followedWhat We’re Looking ForProven track record as a Solution Architect with hands-on Azure AI/GenAI implementation experienceDeep expertise across Azure services – OpenAI, AI Search, Document Intelligence, Cognitive ServicesStrong background in cloud security, monitoring, and governance within regulated industries (ideally banking/FS)Experience with Terraform (or other IaC tools) is a strong plusExcellent communication skills – able to bridge technical design and business impactFluent English; German reading ability an advantageBased in Zurich or able to work onsite 3–4 days per week

Powerhouse on a remote basis. This exciting opportunity will involve being responsible for end to end execution for your migration area (Production Planning or Commercial Finance) and acting as a bridge between local business and functional teams. The role requires English language skills, and candidates to be based in Czech republic, or in Europe where you are able to commute to Prague a couple of times per month. Key Responsibilities:Role applicable for large ERP programs. Responsibilities may also be assumed by GDMEs for Responsible to verify the data transformation tools and outputs for deployment wave projects. certain projects.DMW load file preparation and initial verificationActs as deployment wave focal point for his/her data objects in scope for deployment projectDVT script execution migration/local data migration scope.Interacts with Business Data Owners (BDOS-Global, Regional or Local), deployment Functional Experts, ETL team members, legacy teams, etc.)Responsible to drive migration activities for deployment projectDefect and Hypercare incident resolution coordination for object(s) under responsibility.Design defects resolution or escalation to GDMES. Desirable Requirements:  Experience working with teams globally.Fluent English (additional languages preferred)Functional expertise/knowledge and strong leadershipStrategic and hands on way of working (running meetings, thrive in an international, matrix-based organization tracking progress, managing issues)Strong communication and negotiation skills, good stakeholder management10 years ERP project implementation backgroundDeep experience on data migration execution in multi- country / multi-systems environmentSAP Certified in at least one relevant functional area, with hands on knowledge of SAP BODS Knowledge of GXP and CSV The role offers the flexibility of a remote or hybrid work arrangement and is a long-term contract, which would likely extend.

We’re working with one of the fastest-growing teams in the Voice AI space, a seed-stage startup transforming how financial services engage customers in high-stakes, mission critical workflows. Already trusted by 6 of the top 15 U.S. mortgage banks, they’ve hit $2M ARR in just 8 months (on track for $3M) and are scaling at 43% month over month since their seed raise last November. With a Series A planned for early 2026, this is a rare opportunity to join a company just before it enters hypergrowth. With a lean team of engineers from Google, Meta, Apple and Stanford, they’re building AI systems that outperform humans in industries like mortgage, insurance and small business lending. Now, they’re looking for two exceptional Founding Engineers to own backend systems, drive product heavy initiatives and shape the technical foundation of a category-defining company. Location: San Francisco (4 days in-office, Market Street near Montgomery BART) Salary: Up to $270,000 Equity (0.2–1%) Key Responsibilities:Own Product at Scale: Scope, design, and ship backend systems tightly aligned with customer and product needs.Hands-On Engineering: Contribute directly to core backend services while driving product-focused design.Technical Leadership: Conduct code reviews, mentor peers, and set engineering quality standards.Product Collaboration: Partner with product owners and customers to translate requirements into scalable technical solutions.Founding-Level Impact: Take on initiatives that relieve bottlenecks from the CTO and define long-term product direction.What We’re Looking For:5 years backend engineering experience (5–15 typical).Depth across Python, Go, Java, C , etc. Not just JavaScript/TypeScript.Track record of scaling backend systems in production.Strong product sense and experience in early-stage startups (ideally first 1–6 engineers).Excellent communication skills: able to bridge product and engineering.Bonus Points For:FinTech, API-heavy, or backend-intensive product experience.Experience building agent-based systems.Prior 0→1 startup success.Python backend frameworks (FastAPI, Django).Why Join?World-class team: ex-FAANG engineers, top-tier universities, repeat founders.Hypergrowth: 43% MoM, millions in ARR.Timing: Join at seed-stage equity valuation, just before Series A.Cutting-edge tech: Voice AI that outperforms humans in mission-critical workflows.High ownership: Founding-level influence across product and engineering.This is a chance to step in at a pivotal moment, with proven product-market fit, massive customer demand, and the capital to scale. You’ll be part of a small, elite team solving some of the hardest problems in applied AI, while shaping both the product and the company’s future.

We’re working with one of the fastest-growing teams in the Voice AI space, a seed-stage startup transforming how financial services engage customers in high-stakes, mission critical workflows. Already trusted by 6 of the top 15 U.S. mortgage banks, they’ve hit $2M ARR in just 8 months (on track for $3M) and are scaling at 43% month over month since their seed raise last November. With a Series A planned for early 2026, this is a rare opportunity to join a company just before it enters hypergrowth. With a lean team of engineers from Google, Meta, Apple and Stanford, they’re building AI systems that outperform humans in industries like mortgage, insurance and small business lending. Now, they’re looking for two exceptional Founding Engineers to own backend systems, drive product heavy initiatives and shape the technical foundation of a category-defining company. Location: San Francisco (4 days in-office, Market Street near Montgomery BART) Salary: Up to $270,000 Equity (0.2–1%) Key Responsibilities:Own Product at Scale: Scope, design, and ship backend systems tightly aligned with customer and product needs.Hands-On Engineering: Contribute directly to core backend services while driving product-focused design.Technical Leadership: Conduct code reviews, mentor peers, and set engineering quality standards.Product Collaboration: Partner with product owners and customers to translate requirements into scalable technical solutions.Founding-Level Impact: Take on initiatives that relieve bottlenecks from the CTO and define long-term product direction.What We’re Looking For:5 years backend engineering experience (5–15 typical).Depth across Python, Go, Java, C , etc. Not just JavaScript/TypeScript.Track record of scaling backend systems in production.Strong product sense and experience in early-stage startups (ideally first 1–6 engineers).Excellent communication skills: able to bridge product and engineering.Bonus Points For:FinTech, API-heavy, or backend-intensive product experience.Experience building agent-based systems.Prior 0→1 startup success.Python backend frameworks (FastAPI, Django).Why Join?World-class team: ex-FAANG engineers, top-tier universities, repeat founders.Hypergrowth: 43% MoM, millions in ARR.Timing: Join at seed-stage equity valuation, just before Series A.Cutting-edge tech: Voice AI that outperforms humans in mission-critical workflows.High ownership: Founding-level influence across product and engineering.This is a chance to step in at a pivotal moment, with proven product-market fit, massive customer demand, and the capital to scale. You’ll be part of a small, elite team solving some of the hardest problems in applied AI, while shaping both the product and the company’s future.

Data Protection Automation Engineer – HIRING ASAPStart date: ASAP Duration: 3-month initial contract Location: 3 days in Sheffield office & 2 days working from homeRate: £500 - £525 per day inside IR35 Summary We are currently seeking an experienced professional to join our team in the role of Data Protection Automation Engineer. You should have excellent knowledge of the scrum framework, with all its artifacts and techniques. You’ll also need the ability to coordinate people and projects with your mind set on deliverables.ResponsibilitiesContribute to sprints, retrospective meetings, and daily stand-ups.Work with product owners to handle backlogs and new requests.Design, develop, test and support automation for the data protection services (NetBackup and CommVault) within the bank.Design, develop, test and support reporting and monitoring capabilities for the automation.Provide engineering support on the bank’s data protection products and their standard usage.Undertake product evaluation, new features, and versions.Develop clear and comprehensive documentation for all automation produced.Mentor less experienced members of staff. Key SkillsExcellent knowledge of Scrum techniques and artifacts (such as definition of done, user stories, automated testing, backlog refinement)Extensive knowledge of software development languages, including Python, BashComprehensive experience in configuration management and orchestration using RedHat AnsibleProficient in designing, developing, and testing Rest API services.Hands on experience in DevOps SCM tooling. GitLabCompetent in DevOps CICD tooling. Jenkins., CloudBeesSkilled in using DevOps collaboration tools, Jira, Confluence.Knowledgeable in Veritas NetBackup and related infrastructureKnowledgeable in Commvault and related infrastructure.

💼 Principal Data Engineer👔 FinTech📍 London (Remote First)💵£120-140k Do you want to work for one of the fastest growing FinTech's in the B2B Banking space? Do you want to want to own the Snowflake rollout for a business that runs on Data-Driven Decision making? My client are a hugely successful FinTech, who's data driving approach to lending is making big waves in the B2B banking sector.They now have an imminent requirement for a Principal Data Engineer to spearhead an exciting new project for them, ideally with good knowledge of: Data Warehousing (Snowflake)Data Pipelines (DBT, Kafka)Programming (Python)Relational Databases (SQL, PostgreSQL, LookML)Data Visualisation (Looker)DevOps (Docker, K8s, Terraform) In return they would be offering: Remote First Working (onsite once per quarter)Annual BonusPrivate MedicalQuarterly Pay ReviewsFlexible working25 days’ holiday ( bday off   option to buy or sell an additional five days of annual leave   unlimited unpaid leave)A one-month, fully paid sabbatical after four yearsHalf a day towards L&D every fortnightTwo company retreats a yearPlus more! If you’re passionate about Snowflake and are keen to work for one of the fastest growing FinTech businesses in the UK then please apply right away!

Engineering Manager opportunities – Drive Innovation in a Fast-Growing Tech CompanyLocation: Munich, Germany (Hybrid: 2 days onsite)About the company:Our client is a rapidly growing tech company that's making significant strides in the travel industry. They’re on a mission to deliver innovative solutions that support a dynamic network of users and internal teams.The Role:We're seeking Engineering Managers to lead cross-functional teams of approximately 3-7 engineers. In this role, you’ll spearhead the development of technical solutions that drive both user satisfaction and ambitious growth targets.Key Responsibilities:Oversee the functional and disciplinary leadership of your team.Collaborate with your engineers to deliver high-quality solutions in cross-functional projects.Work with cross-functional stakeholders to define goals and roadmap.Partner with product, design, and other key teams to understand business context.Collaborate with peers and senior technical leaders to influence strategic tech decisions.What You Bring:A Bachelor’s degree in Computer Science or a related field and a proven track record as a Software engineer, with experience in building backend and/or frontend applications.Proficiency in Java/Kotlin/Spring; bonus points for experience with JavaScript/TypeScript/React.Demonstrated technical leadership, including system design, goal setting, architecture design, task planning, and code reviews.Experience as a team leader with a knack for fostering a strong, collaborative team culture.Excellent communication and collaboration skills.Whats on offer:Seize the chance to own the tech and be a key part of our company’s journey.Excellent salary mini-ownership stake with stock options worth 40% of your salary, putting real skin in the game.Get full control over your domain, leading your team while staying hands-on.Benefit from a discounted gym membership.Enjoy 28 vacation days plus public holidays, totalling over 40 days of annual leave.Flexibility to work remotely as and when you needIf you’re currently a hands-on Engineering Manager or a Senior Tech Lead informally managing a small team and eager to take the next step into management, we’d love to hear from you!Apply now to join a forward-thinking team where you can make a lasting impact!

Director – Technology Consulting (FSO, Geneva) We are representing a leading global consultancy that is expanding its Technology Consulting Financial Services practice in Geneva. This is a senior leadership role offering the chance to drive growth, client success, and team development across the Swiss financial services market. The Opportunity As Director, you will play a key role in shaping the consulting hub for Romandie, driving both business development and delivery excellence. You’ll work with major clients across banking, wealth & asset management, and insurance, leading transformation initiatives across Technology, Data & AI. Key ResponsibilitiesLead business development and sales efforts across the local FSO sector, building client relationships and identifying new opportunitiesOversee the quality and delivery of technology transformation projects, ensuring strategic outcomes for clientsDrive growth of the consulting team in Geneva, including hiring and scaling near/offshore capabilityPartner with existing practice leaders to align on CyberRisk, Data & AI, and broader tech transformation strategyAct as a senior leader for client executives, combining technical expertise with commercial acumenWhat We’re Looking For10–15 years of experience in technology project delivery within financial services (banking, WAM, insurance)Proven track record in business development, opportunity management, and client network growthDeep understanding of banking platforms, data & AI solutions, and familiarity with cyber riskStrong leadership credentials – experience managing 30 hybrid teams across local and nearshore deliveryFluent in French and English (German is a plus)