Francis Alexander

📱 iOS Engineer wanted – help reinvent how stories are told with video iOS devs: this one’s special. I’m working with a VC-backed startup in Palo Alto that’s building the next-generation creative video app - think “CapCut meets Pixar-level polish” but simplified for everyday creators. One tap to animate, remix, transform. It's fast, playful, and borderline magical. Their product helps people turn ideas into short-form videos in seconds - no editing timelines, no complex tools, just a beautiful, AI-assisted mobile interface that feels like it was built by designers for creatives. The team’s growing, and they’re now looking for a senior iOS engineer to own their mobile app. It’s early days, so you’ll have a serious seat at the table - from architecture to pixel-perfect UX. What you'll be doing:Build out a high-performance Swift-based app from the ground upPartner closely with product & design to ship features users rave aboutLead technical decision-making across mobile: performance, animation, media workflowsIterate fast and push boundaries of what’s possible on iOSYou're right for this if you:Have 5 years of experience shipping consumer iOS apps (App Store presence ideal)Write clean, scalable Swift (bonus if you’re into SwiftUI, animations, or video frameworks)Care deeply about user experience, microinteractions, and design consistencyWant to work in a startup where your code and ideas actually shape the productPerks:Salary ~$175–250K real equityWell-funded by top-tier investorsTight-knit team of ex-Big Tech and creative tech folksOnsite in Palo Alto 3-4 days a weekPing me if this sounds like your kind of playground - I’ll send over the full scoop, team info, and tell you why this startup’s got serious heat. 👇

Technical Lead — API (Gen-AI • Remote) Our client is a fast-growing Gen-AI company delivering real-time speech translation, voice cloning, and conversational AI (including slang, idioms, and dialects). As their recruitment partner, we are seeking a Technical Lead to head the API team—working closely with the Head of Engineering and CTO to define architecture and ship scalable, customizable endpoints that integrate cleanly with customer systems (including major streaming platforms). The roleOwn the API architecture end-to-end: roadmap, technical decisions, and service boundaries for public and private APIs.Build for real time: low-latency streaming endpoints for transcription, translation, voice cloning, and subtitles.Scale with confidence: auth, rate limits, tenancy, SLAs/SLOs, and graceful degradation under load.Developer experience: SDKs, documentation, analytics, versioning, and backward compatibility.Customer integrations: partner with high-traffic customers to design clear, flexible integration paths.Operational excellence: observability, on-call hygiene, incident response, and post-mortems that drive change.Team leadership: mentor a small, senior group; set standards for code quality, testing, and reviews.Why this will appealReal-time translation with cloned voices preserved in the target language (beyond basic TTS).Built for live events and broadcasts—customers integrate in minutes, not months.Mature API surface in production today (streaming, video, transcripts, subtitles).Well-funded following a recent Series A to accelerate R&D and market expansion.Candidate profile7 years building high-traffic systems and public APIs; 2 years leading projects or teams.Hands-on with low-latency/streaming patterns (WebSockets, gRPC, SSE) and asynchronous pipelines.Strong API fundamentals: authentication/authorization, quotas, versioning, and contract discipline.Proven production ownership: SLOs, dashboards, tracing, and pragmatic incident management.Comfortable translating product and customer needs into crisp technical plans.Helpful experience (nice to have)Speech/LLM/ML serving (ASR, TTS, voice cloning, translation).Media protocols and live pipelines (RTMP/HLS, WebRTC) and subtitle/closed-caption formats.Distributed systems at scale (queues/streams, back-pressure, idempotency).Python (FastAPI/Django) or Node.js; AWS preferred; containers/Kubernetes; Postgres/Redis.Leading SDKs and developer-experience initiatives.Ways of workingSmall, senior team with high ownership and strong review culture.Security and reliability first: ship quickly, measure and audit rigorously.Customer-centric: close collaboration with engineering teams integrating the APIs.Location & packageRemote with overlap across North America and Europe.Competitive salary plus meaningful equity; benefits aligned to location.EligibilityCandidates must hold either Green Card of U.S Citizenship. No new visa sponsorship is available at this time.Process (typical)Technical Interview - 1 hour with Head of Engineering.Technical/Behavioural with CTO - 45 minutesTo express interest: Please share a CV and any relevant links (GitHub, portfolio). Our team will arrange a confidential conversation and provide the full brief.

🚀 Staff Platform Engineer – State-of-the-Art Asset Management Technology 📍 Dallas, TX (3 days a week on-site) 🔒 For security purposes, this role is open to U.S. nationals only I’m working with a leading asset management firm that is investing heavily in next-generation trading and investment technology, and they’re seeking an experienced Staff Platform Engineer to join their high-performing engineering team. This is a hands-on staff-level role where you’ll influence strategy, design, and operations across multi-cloud infrastructure, distributed systems, and developer enablement platforms. If you have deep Kubernetes expertise, thrive in complex environments, and want to play a pivotal role in shaping the future of financial technology, this could be the opportunity for you. The RoleMulti-cloud ownership: Lead design and operations across AWS, Azure, and on-prem with Kubernetes at scale.Distributed compute systems: Architect large-scale parallel workloads with efficient job scheduling and autoscaling.CI/CD & developer enablement: Build resilient pipelines, automate developer workspaces, and drive DevSecOps culture.Zero-trust networking: Implement secure connectivity with Tailscale, identity federation, and RBAC.Observability & optimization: Ensure resilience, cost efficiency, and performance with Prometheus and Grafana.Strategic influence: Partner with engineering teams to shape cloud-native architecture and adopt emerging technologies.Tech EnvironmentCloud: AWS (EKS, EC2, IAM, SSM), Azure (AKS, AD, ARM)Kubernetes: Helm, Operators, CRDs, HPA, Network Policies, k0sAutomation: Terraform, ArgoCD, GitHub Actions, DockerNetworking & Security: Tailscale, WireGuard, Vault, OIDC, RBACObservability: Prometheus, GrafanaDistributed Systems: Argo Workflows, Airflow, Dask/Spark (nice to have)What They’re Looking For6 years’ experience running production-grade cloud infrastructureDeep knowledge of Kubernetes internals, operators, and distributed workloadsStrong track record in multi-cloud (AWS & Azure) environmentsAdvanced Infrastructure-as-Code and CI/CD experienceProven expertise in secure networking, authentication, and identity management💡 Nice-to-have: Experience with Tailscale, AKS, lightweight Kubernetes distributions (k0s), or optimized container build pipelines. Why This Role?Work with mission-critical, state-of-the-art technology in asset managementHigh visibility at staff level with influence across engineeringCompetitive compensation strong benefitsHybrid setup: 3 days per week on-site in Dallas📩 If this sounds like a fit, I’d be happy to share more details and guide you through the process. Please reach out to discuss further.

💻 Senior Software Engineer — Conversational AI Platform Location: San Francisco (On-site, full-time) Compensation: $200K–$350K Equity The Opportunity I’m representing a fast-growing AI company in San Francisco that’s building the future of conversational AI at enterprise scale. They’ve already proven their platform by automating over 1M customer support tickets per month for a single enterprise customer — and now they’re working with household names in food delivery, crypto, and beyond. Backed by a large Series A from top investors (including Y-Combinator), the company has secured multi-year contracts and is rapidly outpacing competitors. They’re now seeking a Senior Software Engineer to join their lean, elite engineering team and take ownership of building and scaling LLM-driven products. Why Join?🚀 Momentum: Backing from major investors contracts with leading enterprises.🎯 Ownership: Drive products end-to-end and influence technical direction.🌱 Growth: Work alongside top-tier engineers and founders on cutting-edge ML projects.🏗️ Impact: Help define the foundation for AI systems powering the next trillion voice interactions.What You’ll DoShip & Own: Contribute to major releases and eventually own entire products or product lines.Design for Scale: Build fast, reliable, secure systems that grow with the business.Collaborate Closely: Work directly with founders and cross-functional teams to take ideas from vision to launch.Lead Technically: Make architecture decisions, mentor teammates, and set engineering standards.Who You Are5 years hands-on software engineering experience with leadership exposure.Strong backend skills in Python (Django experience a plus).Frontend experience with Next.js, React, ShadCN.Cloud expertise with AWS or GCP.Familiarity with containerization & orchestration (Docker, Kubernetes a plus).Entrepreneurial mindset — startup experience or former founder preferred.Willingness to work hard in a fast-paced, high-ownership environment.🎓 Educational pedigree: Computer Science degree from a top-20 engineering program (required).Perks & BenefitsHighly competitive compensation package (salary equity).Full health, dental, and vision coverage.Equinox membership wellness allowance.Meals, snacks, and coffee provided in-office.Interview ProcessScreening call with recruiting lead (20 min)Intro call with founding engineer (15 min)Live coding round (1 hr)On-site interview (full day)⚡ Please note: this role is 100% on-site in San Francisco.

🧠 Lead Software Engineer (Tech Lead) — Emerging Biotech Platform Location: New Haven, CT (On-site, full-time) Compensation: $150–180k The Opportunity I’m working with a pioneering biotech company that’s building something you won’t find anywhere else: a mission-critical platform that supports postmortem human brain research to unlock new therapies for neurodegenerative disease. This isn’t another “scale the dashboard” job. The platform underpins experiments where losing a single data record is unacceptable. Think fintech-grade reliability and compliance — but applied to biotech brains and AI-driven insights. The company has already secured major pharma contracts (with billions in downstream pipelines) and recently raised a $10M seed. They’re scaling rapidly, from processing 500 human brains this year to 1,000 by 2026, with a growing biobank of millions of samples. They’re now hiring a hands-on Tech Lead / Staff Engineer to take ownership of architecture, reliability, and delivery of their core platform. What You’ll DoArchitect the backbone — schemas, transactional core, immutable audits, and chain-of-custody records.Stream everything — CDC → Pub/Sub → BigQuery pipelines, telemetry ingestion, reconciliation jobs.Ship operator-first UIs — React/TypeScript with scanning/labeling flows, real-time updates, guardrails.Reliability engineering — disaster recovery drills, tested RPO = 0, observability everywhere.Technical leadership — mentor engineers, coordinate contractors, set high standards.Tech EnvironmentCloud: GCP (Cloud Run, Spanner, Pub/Sub, BigQuery, GCS, Terraform). AWS possible down the road.Languages: Python for services; TypeScript React for operator UIs.Data/Infra: Streaming pipelines, observability (OpenTelemetry), immutable audits, CI/CD, reconciliation jobs.Success Looks LikeVertical slice demo: plan → simulate donor arrival → run steps → audited completion.Operators who trust the system instead of fighting it.Brain Bank Explorer scaling toward millions of samples with printable labels and lineage.RPO = 0 proven in production disaster recovery drills.Minimum Qualifications8 years building production systems where data integrity was critical (biotech, fintech, manufacturing, healthtech, etc.).Designed and operated transactional cores with streaming/CDC into a warehouse (BigQuery preferred).Hands-on GCP production experience (Cloud Run/GKE, SQL/Spanner, Pub/Sub, BigQuery, GCS, IAM).Proficiency in Python React/TypeScript.Delivered immutable audit record lifecycle under regulated/QMS-like processes.Proven track record of RPO = 0 with tested DR.Nice-to-Have ExperienceLIMS/ELN, MES/SCADA, or other chain-of-custody systems.Barcode/RFID scanner or label printer integrations.Timeseries ingestion and aggregation.Omics pipeline interfaces.Designing UI for lab environments (gloves, dark rooms, offline tolerance).Why This Role Stands Out🧬 Impact: The platform enables groundbreaking brain science and fuels AI models pharma is already investing in.🚀 Growth: Scaling to 1,000 brains annually and millions of samples.💰 Backed: $10M seed funding major pharma contracts already in place.🎯 Ownership: Lead architecture and delivery end-to-end.🌟 Mission: Zero tolerance for data failure. Operator-first UX. Real reliability.Next Steps If this sounds like the kind of challenge you’d like to take on, let me know. I’d be happy to share more about the company and set up an intro with the hiring team. ⚡ Please note: Sponsorship is not available for tthis role is 100% on-site in New Haven, CT. You’ll be working directly alongside the scientists and surgeons using the system day-to-day