Backend & Platform Tech Lead

Moshe Harush

I get complex systems under control and keep the product moving.

I learn the full system, stabilize production, and modernize the parts that block product delivery. Building production systems professionally since 2011 across backend, architecture, infrastructure, product delivery, and technical leadership.

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Senior Tech Lead at Selectika AI · Creator of MonoX

Moshe Harush outdoors in Tel Aviv
Architecture · Delivery · AI Tel Aviv, Israel

  • Architecture

    Map system boundaries, constraints, data flows, and failure modes.

  • End-to-end leadership

    Lead engineering from product decisions through production operations.

  • Applied AI

    Integrate, operate, and evaluate local and hosted models with explicit product boundaries.

Selected work

What I owned, what I changed, and why.

Four examples of end-to-end ownership: an open-source platform, platform modernization, a digital health product, and high-traffic consumer systems.

Public scope

MonoX source is public under the MIT License. The other case studies cover only the architecture, decisions, and outcomes I can share. They include no internal code, customer data, traffic figures, or sensitive identifiers. Any diagrams are sanitized and any example data is synthetic.

MonoX · Open-source platform engineering · 0.2.0

Turning recurring monorepo and deployment decisions into an explicit contract for developers, CI, and coding agents.

Context
Teams and coding agents repeatedly spend time rediscovering repository layout, workspace boundaries, validation, containers, and deployment conventions.
What I owned
I created and lead the product architecture, JavaScript implementation, create-monox CLI, delivery model, CI and release controls, and project governance.
Key decisions
The create-monox CLI generates maintained JavaScript, TypeScript, Python, PHP, and Go workspace recipes, plus local services, CI, containers, and a deterministic project lock. Each deployable package owns its deployment contract. Local Docker has a built-in executor; PM2, Coolify, and Kubernetes paths stay guarded behind explicitly injected transports.
Outcome
A public MIT repository at Mosharush/MonoX with 24 tested workspace recipes, green CI and CodeQL, explicit dependency and deployment contracts, and fail-closed delivery validation. create-monox 0.2.0 is published as npm's latest version through trusted publishing with provenance.

Selectika AI · Platform modernization · 2024–present

Modernizing a multi-tenant platform without pausing active deploys.

Context
A memory-intensive monolith, blocking workloads, and per-client file configuration no longer matched the product's multi-tenant direction.
What I owned
Hands-on ownership of backend architecture, infrastructure, deploys, production, and the modernization path.
Key decisions
Kubernetes-based workload separation, database-driven tenant configuration, RabbitMQ-backed asynchronous processing, and incremental replacement.
Outcome
Long-running work moved out of request paths. Tenant onboarding moved from manual file changes across deployments to a database-driven workflow. Workloads gained clearer scaling boundaries while active deploys continued.

UnderGrid · Digital health · Founder-led production product

Building UnderGrid end to end across web, native, backend, infrastructure, and AI.

Context
The product needs to connect coach workflows, member interactions, consented health integrations, and safety-aware AI assistance across web and native apps.
What I owned
Product definition, modular TypeScript architecture, backend, PWA and native delivery, shared contracts, infrastructure, and production operations.
Key decisions
A modular monolith with explicit boundaries, server-side AI tools with validation and confirmation gates, and native health integrations behind consent-aware interfaces.
Current state
UnderGrid runs in production at undergrid.app as one release train for the PWA, API, worker, and database. The same codebase includes iOS and Android shells, while CI verifies contracts, database upgrades, seeded browser journeys, container roles, and security boundaries before delivery.

Yad2 · High-traffic consumer products · 2018–2020

Moving a critical login flow from PHP to Node.js without a big-bang rewrite.

Context
Critical PHP systems had to be modernized while teams kept shipping high-traffic consumer flows.
What I owned
Engineering leadership for Second Hand, Alerts, and Favorites, plus cross-team work on system behavior and platform dependencies.
Key decision
Migrate incrementally from PHP to Node.js, beginning with a production-critical login flow rather than replacing the whole system at once.
Outcome
The critical login boundary moved to Node.js while product teams kept shipping, creating a repeatable path for the broader migration.

Operating method

Map it. Stabilize it. Then change the parts that matter.

Modernization starts with constraints, rollback paths, and ownership, not with choosing a new stack.

  1. Map the system

    Map boundaries, ownership, dependencies, data flows, and the actual critical path.

  2. Find the actual bottleneck

    Separate product pressure, production failures, team limits, and legacy code that still does useful work.

  3. Stabilize production

    Improve observability and reliability before broadening the change surface.

  4. Create a safe cutover path

    Add rollback points, measurable checkpoints, parallel delivery, and room for gradual replacement.

  5. Move one boundary at a time

    Start where the change removes the most risk or unlocks the most product work.

  6. Prove the new path, then remove the old one

    Verify behavior and metrics, remove the legacy path, and document the new runtime path and ownership.

Applied AI

Models are only one part of shipping AI.

I integrate, operate, and evaluate local and hosted models, build tool-connected agents, and design the surrounding product boundaries for permissions, data, latency, cost, safety, and failure. Evaluation and fallback behavior are part of the product, not an afterthought.

Inference, retrieval & evaluation

Local and hosted inference, embeddings, retrieval, evaluation, fine-tuning where appropriate, and model/runtime trade-offs.

Agents & tools

Tool-connected agents for coding and research, with explicit context, permission boundaries, evaluation, and feedback loops.

Product systems

Schema-validated output, safety checks, human confirmation, logs, cost and latency budgets, and privacy boundaries.

Model changes should not change the product contract, safety checks, or fallback behavior.

Experience

Experience across product, platform, and production.

I stayed hands-on as the scope expanded: code, architecture, infrastructure, hiring, delivery, and production.

2024–present Selectika AI

Senior Tech Lead

Primary hands-on engineer across backend, architecture, infrastructure, deployments, and production; leading the platform's multi-tenant modernization while active delivery continues.

Canditech

Full-Stack Developer

Built mobile-first assessment flows, backend capabilities, internal test-execution tools, server-side rendering, and improvements to CI/CD and developer workflows.

2020–2022 Startup Booster

Tech Lead & Strategic Partner

Worked as a hands-on fractional CTO for early-stage products, translating founder requirements into technical plans, production systems, and delivery practices.

2018–2020 Yad2

Team Lead & Web Architect

Led teams across Second Hand, Alerts, and Favorites; drove gradual PHP-to-Node.js modernization, interviewed 30+ developers, and built internal training programs.

2011–2017 WebId Group

CTO, Co-Founder & Full-Stack Developer

Co-founded and scaled a web agency, built a custom CMS that powered 50+ multilingual SEO-focused sites, and automated recurring content and lead-generation work.

2012–2015 IDF · Signal Battalion 372

Logistics management system

Identified an operational gap and independently designed, built, and deployed a logistics management system while serving in a non-technical role.

Technical scope

Architecture & backend
Node.js, PHP, Python, APIs, modular systems, multi-tenancy, event-driven design
Product & leadership
Product engineering, technical strategy, mentoring, hiring, delivery ownership
Platform & operations
Kubernetes, Docker, AWS, CI/CD, observability, production diagnosis
Data & AI
PostgreSQL, MySQL, MongoDB, Redis, Elasticsearch, model runtimes, RAG, agents

Contact

Building a product that needs hands-on technical ownership?

I am interested in backend and platform Tech Lead, Staff-level engineering, or founding-engineer roles with clear ownership from product decisions to production.

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