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Chief Agentic Quality Architect

1 open position

EVA is in the business of acquiring enterprise software companies and transforming them into AI-native, profitable, scalable businesses. By prioritizing Customer Success, we enable companies with strong product-market fit to emerge as market leaders through sustained product innovation and high-quality professional services delivered via our global team. We are a remote-first company and our team is spread across the globe. 

WHY JOIN EVA 

We offer: 

  • High ownership, flexibility, and impact in a fast-moving environment. 

  • Opportunity to work across multiple products, industries, and technologies 

  • Growth pathways across engineering, product, operations, and leadership 

  • Remote-first flexibility 


ROLE OVERVIEW 

As our Chief Agentic Quality Architect, you will orchestrate the transition from traditional scripted testing to an AI-augmented quality ecosystem. Your primary goal is to leverage agentic AI tools to generate, execute, and maintain high-fidelity test suites that keep pace with a development environment where AI agents are writing a significant portion of the production code. 


WHAT YOU'LL DO 

1. Assess & Benchmark Quality Coverage 

  • Take ownership of a new product or suite of products as a hands-on quality leader. Conduct a comprehensive audit of the existing test estate across all layers — unit, integration, API, UI, sanity, and regression — evaluating depth, coverage, and reliability of each suite. 

  • Evaluate the current QA tooling, frameworks, and automation maturity against EVA’s quality benchmarks and coverage expectations. Identify systemic gaps, test debt, and high-risk areas with no automated coverage. 

  • Produce a Current State & Gap Coverage Report that maps existing tooling, highlights missing coverage domains, and recommends the adoption tooling needed to close the gaps — the baseline for every roadmap that follows. 

2. Define the Quality Engineering Roadmap 

  • Define missing test cases and user journeys. Prioritise end-to-end automation across critical business flows using agentic automation patterns, with a deliberate emphasis on left-heavy coverage — maximising unit and integration depth first, and extending rightward through black-box UI and regression testing. 

  • Architect and own the phased quality engineering roadmap, structured as three delivery horizons: 

  • Two-Week Plan: Complete the current-state assessment; identify the highest-risk coverage gaps; stand up quick-win automation on the most critical user journeys; evaluate and select the tooling to be adopted. 

  • One-Month Plan: Core regression coverage established across primary domains; CI/CD quality gates operational and integrated into the development pipeline; agentic test generation producing its first validated suites. 

  • Three-Month Plan: End-to-end agentic automation live and self-maintaining; EVA benchmark coverage achieved; AI guardrails enforced across all automated agent output; quality metrics visible to engineering leadership. 

3. Agentic Test Generation & Automation 

  • Prompt-Based Engineering: Utilise AI agents to automatically transform business requirements and manual test cases into executable Playwright or Cypress scripts. 

  • Synthetic Test Creation: Implement tools that autonomously generate test data and edge-case scenarios that human testers might overlook. 

  • Autonomous Maintenance: Deploy self-healing automation frameworks that use AI to detect UI changes and update test selectors without human intervention. 

4. Guardrails for AI-Generated Code 

  • Agent Regression Strategy: Design and own a comprehensive regression suite specifically tuned to catch the non-deterministic “hallucinations” or logic errors common in AI-generated code. 

  • Behavioral Locking: Implement characterisation testing patterns to “lock in” the expected behaviour of legacy systems during AI-assisted refactoring. 

  • Autonomous Output Validation: Define quality gates to validate the outputs of autonomous agents, ensuring they meet functional, security, and performance boundaries. 

5. Build & Mentor an AI-Skilled QA Team 

  • Hire QA engineers with deep, hands-on capability in AI-assisted testing and agentic automation frameworks — not generalists, but specialists who can design, implement, and operate AI-driven quality systems in production. 

  • Mentor and upskill the team on EVA’s agentic workflows, guardrail frameworks, and quality benchmarks. Set the technical bar and hold the team to it through code reviews, pairing, and structured coaching. 

  • Instil a quality-first engineering culture where QA is embedded throughout the development lifecycle — not a downstream gate — and every AI-generated change is treated as a quality risk until validated. 


WHAT WE'RE LOOKING FOR 

  • Automation Frameworks: Expert-level proficiency in Playwright, Cypress, or Selenium. 

  • AI Tooling: Hands-on experience using LLMs (Claude, GPT-4, etc.) and agentic frameworks to generate code or automate workflows. 

  • CI/CD Mastery: Deep understanding of integrating quality gates into AWS-based pipelines or similar environments. 

  • Architectural Mindset: Ability to design "Behavioral Snapshots" to safeguard critical business logic during rapid transformations. 

  • 10+ years in QA automation engineering, SDET, or test architecture roles 


NICE TO HAVE 

  • Experience in remote-first or globally distributed engineering teams 

  • Background in SaaS scale-ups, legacy modernization projects, or PE-backed environments 

  • Exposure to performance, load, or security testing tooling 

  • Comfort operating in high-ambiguity, high-ownership environments with evolving requirements 

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Engineering
Contract

Chief Agentic Cloud Architect

1 open position

EVA is in the business of acquiring enterprise software companies and transforming them into AI-native, profitable, scalable businesses. By prioritising Customer Success, we enable companies with strong product market fit to emerge as market leaders through sustained product innovation and high-quality professional services delivered via our global team. We are a remote-first company and our team is spread across the globe. 

 

WHY JOIN EVA 

 We offer: 

  •  High ownership, flexibility, and impact in a fast-moving environment 
  • Opportunity to design cloud governance across a growing portfolio of acquired SaaS products 

  • Growth pathways across engineering, platform, operations, and leadership 

  • Remote-first flexibility 

 

ROLE OVERVIEW 

 We are hiring a Chief Agentic Cloud Architect to design, govern, and continuously optimise the AWS cloud estate that underpins EVA’s entire organisation — from internal development tooling to a portfolio of customer-facing SaaS products acquired from multiple companies. 

This is not a single-product infrastructure role. You will define the AWS Landing Zone architecture that governs how every environment — development, QA, non-production, internal IT, and customer-facing SaaS — is structured, secured, and operated. You will set the Service Control Policies that enforce compliance and cost boundaries across the organisation, own the observability and APM platform, author the runbooks that make our L1 operations team effective, and introduce AI agents that monitor, detect, and resolve infrastructure issues before they become incidents. 

 

WHAT YOU’LL DO 

 1.  Cloud Foundation & Governance 

  • Design and own EVA’s AWS Landing Zone — multi-account architecture, OU hierarchy, and account vending standards that bring every acquired product into a consistent, governed baseline 
  • Author and enforce Service Control Policies (SCPs) across all environment tiers: development, QA, non-production, internal IT, and customer-facing SaaS — balancing the right level of velocity, security, and cost control at each layer 

  • Own the end-to-end infrastructure architecture across the full product portfolio — compute, storage, networking, and database layers — with high availability, fault tolerance, and disaster recovery built in across all production workloads 

  • Define Infrastructure-as-Code standards (Terraform or AWS CDK) so all environments are reproducible, auditable, and version-controlled; drive cost optimisation through right-sizing, reserved capacity planning, and agentic usage analysis 

2. Security Architecture 

  • Own network, application, and data security across the entire cloud estate: VPC segmentation, WAF, IAM least-privilege, secrets management, encryption standards, and service-to-service authentication 

  • Maintain a continuous compliance posture across all accounts through automated policy enforcement, drift detection, and audit logging — with product-level account isolation for all customer-facing SaaS deployments 

 3. Observability, APM & Operational Runbooks 

  • Build and own the observability stack on AWS using Prometheus and Grafana — metrics, alerting, SLO/SLA dashboards, and deployment health monitoring across all products and environments 

  • Author precise, unambiguous runbooks for every recurring operational scenario so the L1 operations team can execute them without interpretation — each with a clear trigger, action sequence, escalation path, and resolution confirmation

 4. Agentic Operations & Proactive Reliability 

  • Deploy AI agents for APM monitoring, deployment health checks, anomaly detection, auto-scaling pattern analysis, and cost anomaly alerts — shifting the operations model from reactive incident response to proactive control 

  • Own the four reliability pillars across the full cloud estate — availability, security, cost, and performance — as continuously monitored, agent-managed outcomes, and build the feedback loop that returns learnings into the runbook library 

 

WHAT WE’RE LOOKING FOR 

  •  12+ years in cloud infrastructure, platform engineering, SRE, or DevOps 
  • AWS Solutions Architect Associate certification is a minimum requirement; Professional is strongly preferred 

  • Proven experience designing and operating AWS Landing Zones using AWS Organizations, including OU hierarchy design and Service Control Policy authoring 

  • Deep, hands-on expertise across core AWS services: EC2, EKS, RDS, Lambda, S3, CloudFront, Route†53, CloudWatch, IAM, VPC, Transit Gateway, AWS Control Tower, and more 

  • Strong command of network security, application security, and data security in a multi-account AWS context 

  • Experience managing cloud environments across diverse stages — development, QA, staging, and production — with appropriate governance at each level 

  • Experience building and operating observability stacks using Prometheus, Grafana, or equivalent tooling 

  • Proven ability to author operational runbooks that non-specialist teams can follow without ambiguity 

  • Practical exposure to agentic AI, LLM-based automation, or AI-assisted infrastructure operations 

 

NICE TO HAVE 

  •  Additional AWS certifications: DevOps Engineer Professional, Security Specialty, or Advanced Networking Specialty 
  • Experience with Terraform or AWS CDK for Infrastructure-as-Code at scale 

  • Background in multi-product SaaS environments, PE-backed technology companies, or post-acquisition platform consolidation 

  • Familiarity with FinOps principles and cloud cost governance frameworks 

  • Experience with AWS Control Tower or similar Landing Zone automation tooling 

 

WHY THIS ROLE MATTERS 

  • You are not managing a single product’s infrastructure. 
  • You are designing and governing the cloud foundation that every EVA product runs on — across every environment, every acquired company, and every team — and building the intelligent operations layer that keeps it all reliable, secure, and cost-efficient without waiting for an incident to tell you something is wrong. 
  • This is a career-defining role for cloud architects who want to operate at organisational scale and define what agentic cloud operations looks like in practice. 
Remote
Engineering
Contract

Chief Agentic Systems Architect

1 open position
EVA is in the business of acquiring enterprise software companies and transforming them into AI-native, profitable, scalable businesses. By prioritizing Customer Success, we enable companies with strong product market fit to emerge as market leaders through sustained product innovation and high-quality professional services delivered via our global team. We are a remote first company and our team is spread across the globe.

WHY JOIN EVA
We offer:
  • High ownership, flexibility, and impact in a fast-moving environment
  • Opportunity to work across multiple products, industries, and technologies
  • Growth pathways across engineering, product, operations, and leadership
  • Remote-first flexibility

ROLE OVERVIEW
We are hiring a Chief Agentic Systems Architect to transform a 10+ year legacy codebase into a high‑velocity, agent‑operable architecture. This role sits at the intersection of software architecture, AI‑agent orchestration, and engineering governance. You will design system patterns, MCP interfaces, and cognitive context layers that allow LLMs and autonomous agents to safely refactor, test, and ship production code with minimal human intervention.

WHAT YOU’LL DO
AGENT‑OPERABLE SYSTEM ARCHITECTURE
  • Decompose legacy monoliths into agent‑readable, modular systems with strict boundaries and single responsibility
  • Lead incremental modernization using the Strangler Pattern, wrapping legacy logic in modern, contract‑driven interfaces
  • Enforce SOLID principles, Dependency Injection, and Hexagonal Architecture to ensure deterministic AI execution and low regression risk
AGENTIC FRAMEWORK & MCP LEADERSHIP
  • Architect and maintain the agent context layer: standardized Skills, Rules, and Commands for AI‑driven engineering workflows
  • Build and operate Model Context Protocol (MCP) servers exposing legacy APIs, services, and databases as typed, secure, AI‑consumable tools
  • Own contract‑first API design as the primary interface between human intent and autonomous agent execution
ENGINEERING GOVERNANCE & AI QUALITY CONTROL
  • Act as architectural gatekeeper for AI‑generated pull requests, ensuring scalability, security, and long‑term maintainability
  • Mandate test‑driven development (TDD) and characterization testing to preserve legacy behavior during refactoring
  • Monitor and optimize agentic reasoning loops to balance cost, speed, and architectural integrity

WHAT WE’RE LOOKING FOR
  • 15+ years in software architecture, platform engineering, or technical leadership
  • Proven experience modernizing large, undocumented legacy systems
  • Deep hands‑on expertise with TypeScript, .NET, and Node.js
  • Strong background in API design, distributed systems, and modular architectures
  • Practical experience with agentic development, MCP, LLM tooling, or AI‑assisted engineering
  • Bias toward clean code, deterministic systems, and production‑grade AI

NICE TO HAVE
  • Experience with remote‑first or globally distributed teams
  • Background in SaaS transformations, scale‑ups, or PE‑backed environments
  • Comfort operating in high‑ambiguity, high‑ownership settings

WHY THIS ROLE MATTERS
  • You are not adding AI features.
  • You are designing the architectural substrate that allows AI to safely build software at scale.
  • This is a career‑defining role for architects shaping how autonomous systems write, change, and govern production code.



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Engineering
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About us

We are a team of passionate people whose goal is to improve everyone's life through disruptive products. We build great products to solve your business problems.