Spacemind

Overview of job

This organisation is building AI-native from the ground up. Every engineer on this team is expected to use AI tooling as their primary development environment. This is not a future aspiration, it is the current operating standard. Own the technical direction and delivery quality for a product engineering team of four. Reporting directly to the CEO, you will lead 2 FE and 2 BE developers to ship fast, reliable, and secure features across a multi-country enterprise platform, while simultaneously driving AI-native workflow adoption across the entire engineering organisation. You combine hands-on Full-stack depth (Java/TypeScript, modern FE frameworks, APIs, PostgreSQL) with clear leadership, a product mindset, fluent English, and a demonstrated ability to multiply team throughput through AI tooling and agentic workflows.

SCOPE & IMPACT

• Architecture: Define pragmatic service boundaries, data contracts, and integration patterns across web, ERP, and external partners
• Performance: Keep Core Web Vitals green on key pages; profile and tune backend APIs and PostgreSQL (p95 latency, error rate, throughput)
• Delivery: Establish standards for code quality, testing, CI/CD, and release hygiene. Drive trunk-based development with safe feature flags and rollbacks.
• Reliability: Implement observability (metrics, logs, traces), SLOs/SLIs, incident response, and post-mortems
• Security & Compliance: Enforce secure coding, secrets management, and GDPR-aware data flows
• People: Mentor and grow engineers; run reviews, pairing, and design sessions.
• Product partnership: Translate business goals into road-mapped technical work; challenge scope, sequence bets, balance speed with quality.

AI TEAM UPLIFT

• Set and enforce AI-native development standards across the engineering organisation
• Run in-person office hours and pairing sessions with a specific focus on AI workflow adoption
• Diagnose individual AI tool gaps per engineer and close them within the first 30 days
• Build a culture with urgency using LLM, agents, and automation tooling at full capacity
• Set measurable 90-day AI adoption benchmarks per team member, and hold the line on them

WHAT YOU’LL LEAD & DO

• Lead day-to-day execution for 2 FE + 2 BE across sprints and technical quality
• Hands-on development (~20–30% IC time): design and implement core features end-to-end across backend (Java/Spring Boot, Kafka/RabbitMQ, PostgreSQL, Redis) and frontend (React 18+/TypeScript)
• Own APIs and integrations: auth, contracts, versioning, idempotency, retries
• Guide frontend architecture in React 18+/TypeScript: shared components, accessibility, performance
• Drive backend quality using Java/Spring Boot and Python where appropriate; model data, tune queries, optimise PostgreSQL
• Improve build pipelines (Vite/Webpack on FE, CI/CD on BE); automate tests and deployments; codify templates and scaffolds
• Create technical docs, runbooks, and standards to make the team faster and safer
• Vendor & RFP support: technical input during vendor selection; define criteria, deployment strategy, KPIs, analytics; support vendor interviews and architecture evaluations
• Build and maintain AI-augmented development workflows for the team, not just personal tooling
• Identify repetitive tasks across the codebase and implement agentic automation to eliminate them
• Evaluate and integrate new AI tools (coding assistants, review agents, test generators) as the state of the art evolves

KEY PROJECTS & ADMINISTRATIVE DUTIES

• Projects: Drive development of custom ERP, CMS, and supporting platform systems for a large e‑commerce environment.
• Plan & deliver: Implement work according to the assigned plan; ensure delivery on schedule and at the required quality bar.
• Team: management, training, and guidance of project staff.
• R&D: Research and develop new technologies aligned to the roadmap.
• Project participation: Participate in and complete assigned projects as required.
• Governance: Implement planning and reporting regime according to regulations.

• Competitive salary Full health & social insurance (retirement, sick leave, maternity) 
• Paid annual leave + guaranteed Tet bonus Gym membership, sports activities, team events 
• If you’re driven, proactive and curious about smart, AI-enabled ways to scale e-commerce, join us. 
• Global exposure, real responsibility, tangible results.

TECHNICAL REQUIREMENTS

• System design (pragmatic): service boundaries, data contracts, caching, failure modes; microservices when justified
• Data: strong PostgreSQL (indexes, plans, partitions, migrations); depth in one non-relational store (Elasticsearch or MongoDB)
• Messaging: proficiency with Kafka or RabbitMQ, retries, idempotency, DLQs
• Platform & cloud: Docker plus Kubernetes (preferred) or managed orchestration on AWS/GCP; CI/CD literacy
• APIs & contracts: REST + one typed contract (gRPC with Protobuf or Avro with schema registry); versioning and compatibility
• Security & compliance: OAuth2/OIDC, secrets management, PII/GDPR by design
• Communication: excellent written and spoken English; crisp stakeholder updates; able to write docs and runbooks

AI-NATIVE REQUIREMENTS

• Demonstrated team AI workflow adoption, you have already done this, not just planned it
• Proficiency with AI coding tools as primary development environment
• Experience building or orchestrating AI agents for development automation tasks
• Ability to evaluate, integrate, and govern new AI tooling as the landscape evolves
• Track record of measurably improving team throughput through AI-augmented practices

NICE TO HAVE

• WSO2 or Kong; Redis; event sourcing / multi-tenant architectures; observability stack
• E-commerce or search experience; Odoo / Symfony / PHP
• MLOps familiarity: ability to work alongside and technically direct an AI/ML engineering team; understanding of model deployment, data pipelines, and inference infrastructure.