About IconicShift IconicShift AI is building a platform that turns founder intent into usable strategic outputs — clear strategies, investor-grade pitches, and practical roadmaps. It is based on the experience of Mike Harris, founding CEO of First Direct (the world’s first telephone bank), founding CEO of Egg (the world’s first internet bank), and CEO of Mercury Communications (that created some of the UK’s first mobile and cable networks). Most founders don’t fail because they lack ideas or options. They fail because their thinking drifts and they can’t afford the experienced support they need. Their story changes, priorities multiply, and the business loses its single direction. Most AI approaches just help them fail faster by accelerating rushed decisions. IconicShift works by creating a single source of strategic truth, where every decision is tracked and held to account. It refuses to move forward without explicit acceptance of core strategic bets, ensuring founders confront the real trade-offs they face. And then gives founders the tools, processes, and structures they need to succeed. We’re pre-funding, building the production foundation. Small team, real conviction, interesting problems. The project We’re building the core of the platform: a 10-step coaching flow where founders move from unstructured input through AI-generated pitches, explicit challenge, and strategic planning. The system is a governed state machine with LLM integration at its core. It deliberately introduces friction — it refuses to let founders skip past uncomfortable decisions or bypass strategic commitments. The platform treats AI as a powerful but unreliable tool that requires governance, cost tracking, and human oversight. The codebase is essentially greenfield with solid foundations already in place: authentication, CI/CD, structured logging, feature flags, monitoring, and a well-modelled PostgreSQL schema. You’d be stepping into a clean, well-structured project where you can help shape the architecture. What you’d work on We have clear milestones and a well-maintained backlog. Likely initial workstreams include: - LLM integration pipeline — building the routing layer that connects the platform to frontier models (OpenAI, Anthropic) via Vercel AI SDK, with streaming responses, cost tracking, and governance - Core coaching flow — implementing the step-by-step journey where founders provide input, receive AI-generated pitches, face explicit challenges, and make binding strategic decisions - Database modelling and state management — translating domain concepts into a normalised PostgreSQL schema that encodes business rules and enforces sequencing You’d take ownership of discrete chunks of work end-to-end. There are requirements from the product and business, but you have genuine creative freedom in how you implement them. We want people who raise their hand, make suggestions, and ask questions — not people who silently take tickets and implement exactly what’s written. The stack - React Router v7 (Remix lineage) with TypeScript - PostgreSQL with Drizzle ORM - Tailwind CSS with shadcn/ui components - Vercel AI SDK for LLM integration (OpenAI, Anthropic) - BetterAuth for authentication - GitHub with linear history, commit signing, and CI/CD via GitHub Actions, deploying to Render - Sentry with OpenTelemetry for monitoring - Vitest and Playwright for testing - pnpm workspaces for monorepo structure - Devenv/Nix for development environment (Docker available as alternative) Hard requirements These are non-negotiable. If you don’t meet them, we won't be able to consider your application. - Production experience with PostgreSQL. You need to understand normalised schema design, foreign keys, indexes, migrations, and the trade-offs between different approaches (e.g. UUIDs vs serials as primary keys). If you’re primarily a MongoDB or Firebase developer, this isn’t the right role. - Production experience with React and server-side rendering patterns. We use React Router v7 (Remix lineage) with loaders, actions, and nested routing. You don’t need prior React Router v7 experience specifically, but you must understand SSR and data loading patterns, and be ready to work with loaders and actions from day one. If your instinct is to add REST API endpoints alongside the framework, this isn’t the right role. - Strong TypeScript skills. We avoid stringly-typed code. Types are documentation. You should be comfortable with discriminated unions, generics, and using the type system to prevent bugs rather than just satisfying the compiler. - API integration experience. You’ll be building the LLM routing layer that integrates with multiple providers. You need solid experience designing and consuming APIs, handling streaming responses, managing error states, and architecting systems with clear separation of concerns. - Exceptional English, written and spoken. This is a remote team doing complex technical work. Written communication is how we coordinate — your commit messages, PR descriptions, and Slack messages need to be clear, precise, and professional. We also work through video calls discussing technical architecture, and you need to be able to communicate complex ideas clearly in conversation. Regional accents are welcome; clarity is essential. - Discerning use of language models. We have company Anthropic and OpenAI accounts, Claude Code, and skills that encode our processes — from landing pull requests to scaffolding from Figma designs. We're a small team with ambitious goals, and LLMs are a key enabler for doing more with less. But we need someone with enough production experience to know when a model is producing unmaintainable code, impose the right guardrails, and distinguish a plausible answer from a correct one. The tool is powerful; we want someone with the judgement to wield it well. Nice to have - Experience with LLM integration, streaming responses, or AI product development - Familiarity with observability and governance patterns (OpenTelemetry, structured logging) - Experience with Drizzle ORM or similar TypeScript ORMs - Familiarity with state machine patterns or domain-driven design How we work Fully remote. We communicate via Slack and video calls. Design work lives in Figma. All work is tracked in Linear. Code goes through GitHub with full CI/CD — land a pull request and it’s live on Render. We embrace the heart of Agile — collaborate, deliver, reflect, improve — without the ceremony. No planning poker. No two-week rituals for the sake of it. We size work relative to previously delivered tasks and forecast based on measured velocity. Lightweight process that actually helps rather than getting in the way. A few principles we take seriously: - Transparency by default. Project communication happens in shared channels. When we onboard someone new, they should be able to read back through the channels and get up to speed without anyone replaying conversations. - Small leaps, committed landings. When we commit to a piece of work, the scope is agreed and the designs are understood. While you’re implementing, the target doesn’t move. If something needs to change, it goes into the next batch. - Ownership, not delegation. Each piece of work has a single owner who drives it to completion. That means talking to Matt about requirements, Laura about design, James about technical approach. We don’t want everything routing through a single bottleneck. - Over-communication. We pride ourselves on making sure everyone has the context they need. Async progress updates (progress, problems, priorities) replace stand-up meetings. If you’re blocked, say so early. If you disagree with an approach, raise it. If you spot a better way, suggest it. - Considerate coding. We think about the impact of our actions on the rest of the team. We have database triggers that set updated_at timestamps automatically, and tests that check every table with an updated_at column has the trigger present. We recognise we’re fallible and use the tools available to prevent mistakes — for ourselves and for each other. - Productivity over presence. We care about what you ship, not when you’re online. Flexible hours, asynchronous by default, with enough overlap for meaningful collaboration during UK working hours. - Treat your process like your product. We ship a version of how we work, get feedback, and iterate. Retrospectives are lightweight but genuine. If something isn’t working, we change it. We’ve built skills and automation into our workflow using language models. When you want to land a pull request, there’s a skill for that. When you start work on a Figma design, there’s a skill for that. When you’re being onboarded, there’s a skill that walks you through getting your environment set up correctly. We use LLMs to encode our processes and accelerate ourselves — not just for writing code. Our most recent developer shipped to production in her first week. We’d expect the same from you. The team - Matt — Founder, product lead. Owns the coaching methodology and product vision. - Mike Harris — Founder. The methodology and strategic experience behind the platform. - Tariq — Founder. - James — Fractional CTO. Architecture, technical leadership, code review, day-to-day collaboration. You’d work closely with James. - Laura — UX/Product Designer. Owns the user journeys and interaction design in Figma. - John — Developer. Working on feature implementation. This probably isn’t for you if… - You’re an agency or recruiter - You rotate staff on and off projects - You need detailed specifications for every task - You can’t overlap significantly with UK working hours Engagement details - Start: Mid-April to early May - Duration: Through to July initially, with strong potential to continue - Commitment: 3–5 days per week (flexible based on fit) - Location: UK based, or Europe with exceptional English and significant UK hours overlap - Rate: Depends on experience and location - Contract: Direct with IconicShift (no intermediaries) Interview process - Initial screening based on your application - 90-minute live pairing session with the CTO — we’ll hack on a real problem together using a cutdown version of our real production stack. This is the interview that matters. Come prepared: understand React Router v7 loaders and actions, be ready to model a PostgreSQL schema, and bring your normal development setup including any AI tools you use. - Founder call - Offer

Who we are We're Redis. We built the product that runs the fast apps our world runs on. (If you checked the weather, used your credit card, or looked at your flight status online today, you’re welcome.) At Redis, you’ll work with the fastest, simplest technology in the business—whether you’re building it, telling its story, or selling it to our 10,000+ worldwide customers. We’re creating a faster world with simpler experiences. You in? The Role As a Senior Engineer on the Context Engine team, you’ll be building the core infrastructure that agents use to access and assemble context—powered by Redis. You’ll work on a small, global team with high autonomy, shipping fast and iterating in the open. This isn’t a role where you wait for specs. You’ll have strong opinions about where agents are going, and you’ll turn those opinions into products. We want builders—people who’ve founded companies or shipped products from zero to one. You’ll own large surface areas of the product, move quickly, and have a direct line to the impact your work creates. What You’ll Do - Build Context Infrastructure: Design and implement the systems that create, transform, and deliver context to AI agents—optimized for speed, relevance, and scale on top of Redis. - Ship Fast: Operate with startup-level velocity inside a well-resourced company. Prototype, test, and ship features in tight cycles. We value working software over long planning horizons. - Shape the Product: Contribute directly to product direction. You’ll work closely with leadership to define what we build, not just how we build it. - Write Great Go: Our Context Engine is built in Go. You’ll write clean, performant, production-grade code and set quality standards for the team. - Build with Agents: Use agentic coding tools and workflows daily. We expect you to be fluent in AI-assisted development and to push the boundaries of what’s possible. - Own Your Domain: Take full ownership of the systems you build—from design through production. High autonomy means high accountability. What You’ll Need - 5+ years of experience in backend or infrastructure engineering, with a track record of shipping production systems - Strong proficiency in Go - Hands-on experience building AI agents or agentic systems—you understand how agents reason, plan, and use tools - Fluency with agentic coding tools and AI-assisted development workflows - Demonstrated high ownership and autonomy—you’ve thrived in environments where you set your own direction - Strong opinions on the future of agents, context, and AI infrastructure—and the ability to back them up with working code - Excellent communication skills—able to collaborate effectively across a distributed, global team Nice to Have - Founder experience—you’ve started a company, built a product from scratch, or operated at the zero-to-one stage - Experience with data infrastructure, streaming systems, or real-time data platforms (Kafka, Flink, Redis, or similar) - Background in ML infrastructure, vector search, or retrieval-augmented generation (RAG) systems - Contributions to open-source projects in the AI/ML or data infrastructure space - Experience with cloud platforms (AWS, GCP, Azure) and modern deployment practices Why Join Us - Ground-Floor Impact: Join a small team building a new product that’s a top priority for the company. Your work will directly shape the product and the roadmap. - High Autonomy: We trust you to own your work end to end. Minimal process, maximum agency. - The Agent Moment: AI agents are redefining how software works. You’ll be building the infrastructure layer that makes them useful. - Competitive Compensation: Salary, equity, and comprehensive benefits. - Global & Flexible: A distributed team that values output over hours, with the flexibility to do your best work from anywhere. As a global company, we value a culture of curiosity, diversity of thought, and innovation from our employees, customers, and partners. Redis is committed to a diverse and inclusive work environment where all employees’ differences are celebrated and supported, and everyone feels safe to bring their authentic selves to work. Redis is dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, sexual orientation, age, marital status, disability, gender identity, gender expression, Veteran status, or any other classification protected by federal, state, or local law. We strive to create a workplace where every voice is heard, and every idea is respected. Redis is committed to working with and providing access and reasonable accommodation to applicants with mental and/or physical disabilities. If you think you may require accommodations for any part of the recruitment process, please send a request to recruiting@redis.com. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law. Any offer of employment at Redis is contingent upon the successful completion of a background check, consistent with applicable laws. Redis reserves the right to retain data longer than stated in the privacy policy in order to evaluate candidates.

Who we are We're Redis. We built the product that runs the fast apps our world runs on. (If you checked the weather, used your credit card, or looked at your flight status online today, you’re welcome.) At Redis, you’ll work with the fastest, simplest technology in the business—whether you’re building it, telling its story, or selling it to our 10,000+ worldwide customers. We’re creating a faster world with simpler experiences. You in? What You’ll Do: Be part of the team behind Redis Data Integration (RDI), which creates a data streaming pipeline that mirrors data from existing relational and non-relational databases to Redis Enterprise. The result: applications can access data at in-memory speeds. RDI integrates legacy databases with Redis Enterprise in near real-time while transforming data at high speed. What will you need to have? - Passion for building, growing, leading, and achieving - Strong coding skills and 8 years full-time Software Engineering work experience with Java, Python, and/or Go - Leading role experience in building Enterprise and customer-facing parts of products - Proven track record in leading the design and implementation of complex and scalable software systems - Strong understanding of relational and non-relational databases - Experience with Linux-based on-premise infrastructure and deployments - Experience with AWS and/or GCP infrastructure, system deployment, monitoring and observability - Strong team player and leader/mentor of less senior colleagues, prioritizing the team goals over individual goals - Accountability, resilience, determination, ownership, and a keen appetite for making a positive difference - Strong familiarity and experience with Kubernetes (K8S). Extra great if you have the following: - Experience with Change-Data-Collection and Debezium - Experience with Docker, Kafka/Kafka Connect - Experience building both on-premise and cloud-based products - Technical lead experience - Experience working with customers and product managers #LI-BL1 #Remote #Canada As a global company, we value a culture of curiosity, diversity of thought, and innovation from our employees, customers, and partners. Redis is committed to a diverse and inclusive work environment where all employees’ differences are celebrated and supported, and everyone feels safe to bring their authentic selves to work. Redis is dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, sexual orientation, age, marital status, disability, gender identity, gender expression, Veteran status, or any other classification protected by federal, state, or local law. We strive to create a workplace where every voice is heard, and every idea is respected. Redis is committed to working with and providing access and reasonable accommodation to applicants with mental and/or physical disabilities. If you think you may require accommodations for any part of the recruitment process, please send a request to recruiting@redis.com. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law. Any offer of employment at Redis is contingent upon the successful completion of a background check, consistent with applicable laws. Redis reserves the right to retain data longer than stated in the privacy policy in order to evaluate candidates.

About the Role Synthio is looking for a hands-on Software Engineer who enjoys building end-to-end systems and shipping production-grade products. This role sits at the intersection of backend engineering, AI systems, and infrastructure. You’ll work on LLM-powered and voice-enabled applications, integrate external APIs, and own services from design through deployment and operation. You’ll join a small, fast-moving team building real-world software for healthcare and pharma, where reliability, performance, and correctness are non-negotiable. We value engineers who take ownership, move quickly, and are comfortable operating across the stack. What You’ll Do - Build and maintain backend services that power AI- and LLM-driven products - Design and implement APIs, data flows, and service integrations - Productionize LLM-based workflows (prompting, retrieval, orchestration, evaluations) - Deploy and operate services with a focus on low latency, high availability, and robustness - Design and manage infrastructure (containerization, cloud services, CI/CD) - Work on voice-enabled systems (STT/TTS, streaming APIs) as part of end-user experiences - Monitor, debug, and optimize systems for performance, reliability, and cost - Collaborate closely with founders and product stakeholders to turn ambiguous requirements into scalable software - Own features and services end-to-end, from initial design to production support - What We’re Looking For - 1–3+ years of experience in software engineering or backend-focused roles - Strong proficiency in Python - Experience designing and building APIs and backend systems - Hands-on experience working with LLM APIs (OpenAI, Anthropic, or similar) - Comfort with cloud infrastructure and DevOps fundamentals (Docker, AWS ECS/EKS/Lambda, observability, basic security) - Interest in AI-powered systems, including voice and conversational interfaces - Solid systems and architecture thinking, with a pragmatic approach to tradeoffs - Ability to work with incomplete specs and make sound engineering decisions independently Why This Role Matters At Synthio, we build software that directly supports patients, physicians, and pharma teams. This is production software, not prototypes or demos. The systems you build will be used in real workflows, under real constraints, and at real scale. You’ll have meaningful ownership and a clear line of sight from your code to real-world impact. Perks - Competitive salary - Remote-friendly - Team offsites in San Francisco