Ryan Jones

Lead Infrastructure & Operations Engineer – AI/GPU Cloud (US, Remote) We're hiring on behalf of a fast-scaling, AI-native GPU Cloud provider for a hands-on technical leader to build and run their US infrastructure operation. This is a player-manager role for someone who wants to stay technical while stepping into leadership. You'll lead a team of three infrastructure engineers (with room to grow), working US afternoons with your team and US mornings in close collaboration with the UK Infrastructure Operations Manager and broader global team — true follow-the-sun coverage. What you'll be doing:Acting as the senior technical voice for US infrastructure — designing, deploying, and troubleshooting HPC/AI/GPU compute, storage, and networkingLeading incident response, driving SRE practices (SLOs/SLIs, observability, automation)Owning capacity planning, deployment velocity, and 99.9% uptime for US-region servicesMentoring and growing your team — 1:1s, KPIs, career developmentCoordinating 24/7 on-call coverage and seamless handoffs with the UK teamWhat you'll bring:6 years in infrastructure/platform operations, 2 years leading a team with direct reportsDeep hands-on expertise in high-scale infrastructure with high-performance networking (InfiniBand, RoCE, low-latency design)Strong SRE/DevOps chops: Terraform, Ansible, Kubernetes, Prometheus, Grafana, Python/BashCloud experience (AWS, GCP, or Azure)The ability to lead through ambiguity, communicate across regions, and translate complex tech for non-technical stakeholdersIf you're excited by cutting-edge AI infrastructure, want real ownership of a growing team, and thrive working across time zones with a high-caliber global ops group — we'd love to talk.NOTE: Candidates must have at least Green Card status to be eligible for this role.

Senior / Staff Frontend Engineer - AI-Native Banking Platform Location: New York, Denver, AtlantaFunction: Frontend Engineering The Opportunity I'm working with a global financial technology leader on an exciting, newly-formed venture: an AI-native banking platform being built for Tier-1 financial institutions, combining the agility of a startup with the scale and backing of an established enterprise. This isn't a dashboard. It's the control surface for real money, real regulation, and real consequences — and it's where AI agents and human operators work side by side, with every action reviewed, traced, and approved in real time. My client is assembling a small, senior team with startup-level autonomy. If you want your frontend code to be the thing that bank operations, compliance, and finance teams trust every single day, this is the role. What You'll Be Working On The Command Center - the nerve centre of the platform. Account management, ledger operations, compliance rule configuration, product setup — high-stakes, high-density interfaces where every click matters and every action needs to be fast, clear, and correct. The Agent Experience - the embedded AI layer, where users collaborate with autonomous agents through streaming chat. You'll build plan-approval workflows where AI proposes multi-step actions and humans review each one, tool-call and agent-trace visualizations, context management for long-running conversations, and routing across multiple model providers. The Design System - the component library and interaction patterns that shape the entire platform. This comes with real product authority over the primitives, not a back-office component factory remit. Quality at Speed - a mature testing foundation (unit, integration, end-to-end, plus AI evals) that lets the team move fast because it's solid, not despite the lack of one. What You BringStrong production experience with TypeScript and React - real shipped products at scale, not side projectsDeep Next.js expertise, including App Router, Server Components, and server actionsExperience designing or extending a component system with real composition patternsA track record building complex, stateful UIs - multi-step workflows, real-time streaming data, high-density interfaces that stay fast and legible under loadSolid testing practice across unit, integration, and E2E (Vitest, Jest, Playwright, or Cypress)Comfort working across the stack when a feature calls for it — server logic, database queries, API integrationsAn ownership mindset — you don't just implement; you make the product and UX callsBonus points if you have: experience building AI-powered product surfaces (streaming LLM UIs, tool-calling interfaces, agent workflows); fintech or regulated-industry experience where audit trails and approval chains matter; or experience setting technical standards and mentoring on a small team. Why Consider This Role: Work ships directly to production at enterprise scale - powering core banking infrastructure used by Tier-1 institutions worldwide. You'd get the autonomy and pace of a startup, the resources and stability of an established global business, and direct, visible impact on a product redefining how banks operate. What's On Offer4 weeks PTOMedical & dental insurancePensionSign-on bonus eligibilityAnnual bonusPaid national holidays

Forward Deployed Engineer — Banking Platforms - AI-Driven Core Banking TechI'm working with a fast-moving team building an AI-enabled, autonomous banking platform for Tier-1 financial institutions - backed by the scale and resources of a major global fintech, but operating with the speed and autonomy of a startup. This is a rare chance to ship production code that directly shapes how the world's largest banks modernise their core infrastructure.The roleMy client is looking for a Forward Deployed Engineer who'll embed directly with strategic bank clients as a hands-on engineer and trusted technical partner. You'll be:Discovering pain points across architecture, infrastructure, and product teams, then designing the bank's future-state architectureBuilding proofs of concept and end-to-end use cases — think digital twins, checking accounts, stablecoin walletsArchitecting clean, production-grade integrations across upstream and downstream systemsBuilding high-performance data pipelines connecting legacy and modern systemsRunning performance, resilience, and failover testing at scaleSupporting presales with demos, workshops, and architecture educationFeeding learnings from the field back into the product roadmapExpect travel to client sites of roughly 25–50%, depending on engagement phase.What my client is looking forA proven systems builder in Go or RustDeep distributed systems experience - Kafka, concurrency, event-driven architectures, multi-region databasesStrong cloud background (AWS/GCP/Azure), SRE principles, IaC, Kubernetes/OpenShiftExperience building data-intensive pipelinesAn AI-native mindset - comfortable with LLMs and agentic development patterns4 years in a customer-facing technical role: Forward Deployed Engineer, Solutions Architect, Consultant, or Senior Software EngineerBonus points for fintech/banking domain knowledge (transaction flows, core banking systems)Operating styleThis is a high-agency role for someone who thrives without a playbook and is comfortable writing one. Ownership matters here - if something breaks before go-live, you fix it and build the system so it doesn't happen again. You'll move naturally between coding, architecture, and client-facing workshops.Why applyDirect, visible impact on core banking platforms used by Tier-1 global institutions. High autonomy in a small, senior team. Startup energy backed by enterprise resources and a clear line from your work to production.Package: 4 weeks PTO, medical & dental, sign-on bonus eligibility, 401(k) match, paid national holidays, annual bonus.Get in touch if you'd like to hear more or be considered for this role.

Software EngineerUSD $200,000 $240,000 equity | San Francisco | OnsiteSODA has partnered with a video AI research company building the data infrastructure behind next-generation video models. Backed by leading investors and operating with a team of just 12 people, they’ve already partnered with top AI labs and generated multi-million-dollar revenue this year.Video now powers most internet activity — from robotics and gaming to AR/VR and generative AI. This team is solving one of the hardest problems in the space: creating high-quality training data at scale for frontier video models.The OpportunityYou’ll work across the stack to build systems that source, process, filter, and deliver massive video datasets used by advanced AI teams. The work combines distributed systems, ML infrastructure, data quality, and operational scale.This is a role for engineers who enjoy ownership and hard technical problems. You’ll work directly with customers building frontier AI systems and help shape how video data infrastructure evolves as the company grows.What You'll Do- Build and scale large-scale video data pipelines- Develop systems for sourcing and curating training datasets- Create ML-powered filtering and quality control workflows- Improve infrastructure performance and delivery reliability- Build internal tooling and dashboards for QA operations- Work directly with customers on evolving dataset requirements- Ship systems end to end across infrastructure and product layersWhat You'll BringEssential:- Strong software engineering experience with Python- Ability to build clean, maintainable production systems- Strong communication skills with technical stakeholders- Comfort solving ambiguous and technically difficult problemsDesirable:- Experience with Go or TypeScript- Early-stage startup or zero-to-one experience- Active GitHub projects or technical portfolio workWe encourage you to apply even if you don't meet every requirement. Curiosity, ownership, and problem-solving ability matter as much as direct experience.What's In It For You- USD $200,000 - $240,000 base salary plus equity- Work directly with frontier AI labs and researchers- Small, highly technical engineering team- High ownership with direct influence on technical direction- Opportunity to shape infrastructure powering video AI growthInterested?This role won’t suit engineers looking for narrow ownership or predictable problems. It’s built for people who enjoy depth, pace, and building systems that push technical boundaries. If that sounds like you, we’d love to talk.

Senior Software EngineerUSD $220,000 - $270,000 meaningful equity | New York | 5 days onsiteSoda has partnered with an AI infrastructure company founded by leaders behind one of the earliest Forward Deployed AI teams. Backed by $30M in funding led by top-tier investors, the company is building foundational systems that help enterprises automate complex decision-making using historical operational behaviour.This is not a feature factory role. You’ll work on core infrastructure problems around inference, orchestration, context evolution, and human-guided AI systems alongside a small, deeply technical team in New York and London.The OpportunityYou’ll help build the platform that stores, evolves, and executes enterprise decision context at scale. Engineers here own architecture, product direction, and production systems end to end.The company operates without layers of process or ticket-driven development. You’ll work directly with founders, shape technical direction early, and solve problems where correctness and system design matter.What You'll Do- Design systems capturing and executing enterprise decision logic- Build backend services integrating with enterprise workflows and tools- Develop orchestration systems for agent execution and inference- Create interfaces for human review and AI feedback loops- Own architectural decisions across storage and inference systems- Ship production systems directly with founders and customers- Influence product direction through engineering decisionsEssential:- Strong experience building production systems end to end- Deep backend or full stack engineering capability- Experience scaling complex systems in production environments- Strong architectural thinking across evolving technical systemsDesirable:- Experience with agentic systems or AI feedback loops- Exposure to enterprise integrations and workflow tooling- Interest in knowledge systems and decision infrastructureWe encourage you to apply even if you don't meet every requirement. Curiosity, judgement, and depth of thinking matter as much as direct experience.What's In It For You- USD $220,000 - $270,000 base salary- Meaningful early-stage equity- Direct collaboration with experienced technical founders- High autonomy with real architectural ownership- Small engineering team with minimal bureaucracy- Opportunity to shape foundational AI infrastructure earlyInterested?This role suits engineers who want depth over hype and ownership over process. If you care about building systems that solve hard operational problems — and want your decisions to shape the company as it grows — we’d love to speak with you.

Senior Software EngineerUSD 200,000–250,000 equity | San Francisco | OnsiteSODA has partnered with an AI infrastructure startup building operational systems for the home services industry. They’ve raised $30M total funding in 18 months and are scaling the engineering team after Series A.This is a chance to build production AI systems that solve real operational problems, not internal demos or side projects. Your work will power customer conversations, booking flows, outbound campaigns, and quality insights used daily by service businesses across the US.The OpportunityYou’ll own product areas from early discovery through long-term production ownership. The systems you build must perform under real-world pressure — handling live calls, workflows, and customer interactions where reliability matters.The engineering team values clear thinking, fast execution, and strong product judgement. You’ll work directly with customers, shape technical decisions, and influence how the platform evolves as the company scales.What You'll Do- Own features from discovery through launch and iteration- Build full stack systems supporting AI-driven workflows- Improve reliability across real-time production AI systems- Make architectural decisions aligned with product goals- Partner directly with customers during product development- Contribute to engineering standards and technical direction- Work across multiple product areas in parallelWhat You'll BringEssential:- Strong experience shipping production software- Full stack engineering capability across frontend and backend systems- Clear communication around technical decisions and trade-offs- Strong product sense and customer awarenessDesirable:- Experience in high-growth startup environments- Exposure to AI systems or workflow automation products- Ownership mindset with comfort operating autonomouslyWe encourage you to apply even if you don't meet every requirement. The right mindset matters as much as the right CV.What's In It For You- USD $200,000 - $250,000 base salary- Equity opportunity with early-stage upside- Direct influence on product and technical direction- Work closely with customers solving operational challenges- Join a team scaling rapidly after Series A fundingInterested?This role offers the kind of ownership most engineers wait years to find. If you want to build reliable AI systems used in the real world — and see your work shape the company as it grows — we’d love to hear from you.

📣 Platform Engineer – Travel SaaS A fast-scaling SaaS company in the travel tech space is hiring a Platform Engineer to help build and scale their global infrastructure. This is a high-impact role in a product-led, engineering-driven environment. The company operates a modern, multi-service architecture on AWS and needs someone who can take ownership of platform reliability, CI/CD tooling, and infrastructure as code. 💻 The role:Design, build and maintain secure, scalable AWS infrastructure (EC2, S3, RDS, IAM, etc.)Champion Infrastructure as Code using Terraform or PulumiManage containerised deployments with Docker and ECS or KubernetesImprove and maintain CI/CD pipelines (GitHub Actions, CircleCI, etc.)Collaborate closely with engineering, SRE and security teamsTake part in on-call and incident response as part of a “you build it, you run it” culture🧠 What they’re looking for:3 years' hands-on experience with AWSStrong background in infrastructure as codeSolid understanding of containerisation and orchestrationComfortable with scripting (Python, Go or Bash)Experience with observability tools (Datadog, CloudWatch, etc.)Excellent debugging and troubleshooting skills🎁 Nice-to-haves:Exposure to Windows/.NET, serverless architectures or compliance frameworks (e.g. SOC2)🌍 Why join:Compensation: $130–150K base equityCulture: Low-ego, high-ownership team with a strong engineering voiceHybrid setup: ~3 days per week in office in BostonMission: Helping businesses travel smarter — at global scale

Information Security Manager – Financial Services Technology (Remote)We’re partnering with a growing technology company in the financial services sector that is building modern, cloud-native platforms used by enterprise clients. As the company continues to scale, they are looking for an Information Security Manager to take ownership of their security and compliance function and help shape the next phase of their security maturity.This is a high-impact role with real ownership. You won’t just be maintaining a program - you’ll be improving it, shaping it, and acting as the go-to person for security across the business. The role combines leadership, hands-on technical work, and regular interaction with clients and auditors, so it suits someone who enjoys operating across both technical and business environments.What You’ll Be DoingOwning and running the company’s SOC 2 program and broader security compliance initiativesDeveloping and improving security policies, controls, and governance frameworks (SOC 2, ISO 27001, NIST)Managing and responding to security alerts, vulnerabilities, and incidentsOverseeing cloud and infrastructure security across AWS and Kubernetes environmentsLeading identity and access management, including access reviews and privileged access controlsCoordinating penetration testing, risk assessments, and remediation programsManaging business continuity and disaster recovery planning and testingActing as the main point of contact for client security questionnaires, audits, and security discussionsConducting vendor security reviews and managing third-party riskReporting on security posture, risk, and ongoing improvements to leadershipSupporting security for AI/ML systems and data pipelines, including model security, data protection, and access controlsWhat They’re Looking ForAround 6 years of experience in Information Security with strong hands-on technical experienceExperience running SOC 2 in a real production environmentStrong cloud security experience, particularly in AWS (GCP is a plus)Experience working with Kubernetes and modern cloud infrastructureExperience with EDR/XDR tools such as CrowdStrike (or similar)Familiarity with SOC 2, ISO 27001, and NIST frameworksExperience securing data, APIs, and AI/ML systems is a strong plusExperience working in regulated environments such as financial services, fintech, or SaaSAbility to communicate with both technical teams and non-technical stakeholders, including clients and auditorsCertifications such as CISSP, CISM, or Security are helpful but not essentialWhy This Role Is InterestingFully remote role with a high level of ownership and autonomyYou’ll own security rather than inherit a rigid programYou’ll work in a modern cloud-native environment, not legacy infrastructureYou’ll have direct exposure to clients and leadershipYou’ll be in a role where security is taken seriously and has real visibilityYou’ll be able to make measurable improvements and see the impact of your workIf you’re interested in learning more, please apply or reach out directly for a confidential conversation.