Hire the Best Orchestration Specialists
in Spain

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Alexander J.

Klaviyo Email Marketing & Lifecycle Automation Specialist

Silleda, Spain
$20 per hour
8 jobs

I help Shopify and ecommerce brands turn Klaviyo into a reliable revenue and retention system. I combine lifecycle strategy, hands-on Klaviyo implementation, deliverability, data hygiene, and technical automation. That means I can diagnose what is underperforming, design the customer journey, and build the campaigns and flows correctly inside the platform. Core services: - Klaviyo account setup, optimization, and troubleshooting - Welcome, abandoned cart, browse, post-purchase, win-back, and advanced retention flows - Figma-to-Klaviyo campaign production, localization, and pre-send QA - Klaviyo audits covering revenue, segmentation, flow logic, and deliverability - Database hygiene, engagement segmentation, suppression, and sender-health planning - Dynamic content, custom events, webhooks, APIs, and n8n integrations Selected outcomes and project experience: - Reduced a legacy database from approximately 500,000 profiles to 120,000 engaged contacts, lowering send volume while improving lifecycle targeting - Increased the share of conversions attributed to email from 8% to 12% through segmentation and automation improvements - Designed advanced Klaviyo journeys including a 365-day upgrade loop, dynamic buyback values, loyalty-tier routing, condition-based onboarding, and frequency-protected browse recovery - Produced localized German and Dutch campaigns from approved Figma designs, including asset preparation, build, audience QA, offer and link checks, and launch handover My work is structured, documented, and built for teams that care about both commercial performance and technical reliability. Supporting capabilities in CRM automation, n8n, GA4, and conversion analysis strengthen the Klaviyo work without replacing its focus.

Niaz T.

AI Systems Engineer - Voice Agents, Agent Orchestration,Production RAG

Madrid, Spain
$60 per hour
90 jobs
$400K+ total earnings

Three things I do best: voice agents that sound human, multi-agent orchestration that actually ships, and RAG systems that hold up in production. Voice agents. People on the other end of the call don't realize they're talking to an AI. That takes a lot of small things working together: VAD endpointing so the agent starts responding before the caller finishes, barge-in so it stops when interrupted, filler words and breathing pauses between sentences, dynamic speaking rate that slows down for complex info, sentiment-driven tone shifts, voice cloning. Sub-300ms latency. Self-hosted models alongside cloud providers. SIP telephony for outbound calls, plus inbound with intent routing and human handoff. Agent orchestration. Built a system with five specialist agents (voice, browser, RAG, MCP tools, scheduler) that coordinate through dependency DAGs and run in parallel. The agents work through real tools: browser automation via Chrome DevTools Protocol, MCP servers managing Google Calendar, Gmail, GitHub, PostgreSQL, Slack. Per-room credential isolation. Human-in-the-loop approval gates for sensitive operations like calls and emails. AI that takes real actions, not just answers questions. Production RAG. I've shipped: Legal RAG (FlawFinder.ai) indexing US police departments, zero-hallucination citations, paying subscribers Scientific document RAG with hybrid search, multi-language support, figure extraction via vision models GraphRAG with 40% better retrieval vs vector search alone I also help teams whose RAG works in demos but struggles with real data. Usually it's chunking strategy, missing evaluation, or grounding gaps. I audit the pipeline and rebuild the parts that need it. Beyond the AI layer, I build the infrastructure that keeps systems running when real users show up: Kubernetes, CI/CD, monitoring, evaluation harnesses. Most recently Infrastructure Lead at an AI startup where I built the full platform from scratch. Day to day: Python (FastAPI, Django), LangChain/LangGraph, PostgreSQL, pgvector, Redis, Kubernetes, Docker, Terraform, AWS. Frontend when needed (React/TypeScript). 15+ years in software, last 3 on LLM applications. Based in Madrid (GMT+2), flexible for EST overlap. Available now, async-first, same-day responses.

Daniil Z.

DevOps Engineer | Cloud Architect | AWS, GCP, Kubernetes, Terraform

Barcelona, Spain
$120 per hour
49 jobs
$300K+ total earnings

Top Rated Plus DevOps engineer and cloud architect with 20 years of hands-on experience — 100% Job Success, 5,600+ hours billed on Upwork. I design, automate, and run production infrastructure that companies bet their business on: Kubernetes platforms, CI/CD pipelines, cloud cost programs, and monitoring that catches problems before your customers do. Recent results for clients: • Cut a client's GCP bill by roughly a quarter (~€3,400/month) through workload right-sizing, storage lifecycle policies, and egress optimization — found and documented every saving before touching anything. • Planned and executed a production migration of a real-time communications platform to Hetzner: staged cutover, full rollback path, monitoring parity verified before and after the switch. • Lead DevOps for a video distribution platform: GitLab CI pipelines, Rancher-managed Kubernetes clusters, HashiCorp Vault for secrets, all infrastructure as code with OpenTofu. • Helped a SaaS client reach SOC 2 compliance (Drata): infrastructure hardening, access reviews, evidence automation. • Built observability stacks from scratch — Prometheus, Grafana, Loki, alerting wired to Slack/PagerDuty — so incidents get caught in minutes, not from customer emails. AI & automation: I build LLM-assisted operations — agentic workflows for infrastructure tasks, self-hosted model serving, and durable automation pipelines on Temporal. If you want AI in your ops without handing your data to third parties, I've done it in production. Beyond infrastructure: I also take on backend development (Python/FastAPI, Node.js/TypeScript, Flutter) and data analytics work (SQL on PostgreSQL and ClickHouse, Grafana dashboards, cost analysis) — same production discipline. Core stack: • Cloud: AWS, GCP, Azure, Hetzner, DigitalOcean • Containers & orchestration: Kubernetes (EKS, GKE, K3s, RKE2/Rancher), Docker, Helm • Infrastructure as Code: Terraform / OpenTofu, Pulumi, Ansible, CloudFormation • CI/CD: GitLab CI, GitHub Actions, Jenkins, Bitbucket Pipelines • Observability: Prometheus, Grafana, Loki, Datadog, CloudWatch, Sentry, ELK • Secrets & security: HashiCorp Vault, SOPS/age, IAM, VPC design, Tailscale, SOC 2 • Databases: PostgreSQL, MySQL, Redis, MongoDB, ClickHouse • Scripting: Bash, Python, Node.js/TypeScript Based in Barcelona (CET) — comfortable overlap with both EU and US East Coast hours. Fluent English and Spanish, native Russian. If your deploys are slow, your cloud bill keeps growing, or you're one incident away from realizing you have no monitoring — let's talk.

Justiniano C.

Audio Engineer

Barcelona, Spain
$30 per hour
14 jobs

Creative audio engineer with 7+ years of experience delivering high-quality sound for music, film, podcasts, YouTube, apps, games, and AI-driven projects. I help bring your vision to life with clean, immersive, and professional audio — from original music and mixing/mastering to polished podcasts, cinematic sound design, AI voice overs, and custom sonic branding. Key Services: - Music Production & Composition - Mixing & Mastering (streaming, club, film) - Podcast Editing & Production - AI Voice Over Creation & Refinement - Sound Design, Foley & Sonic Branding - Audiobook Production & ACX Mastering - Voice-over & Narration Editing - Full Post-Production for Film, Shorts & Branded Content Certified in Pro Tools, Logic Pro & Dolby Atmos. Reliable, fast turnaround, and clear communication guaranteed. Let’s make your project sound exceptional.

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