Architect
Summary
Contract Architect shaping cloud-native architecture for a global IT services client's foundational technology platform. Day to day: produce architecture blueprints and technical decision records, design secure Azure services and APIs, and hands-on guide engineering teams — leveraging AI-assisted/agentic development practices.
At Sequoia Connect, we are a Talent-First Technology Ecosystem that redefines how elite professionals interact with the global digital landscape. We move beyond traditional models to act as a catalyst for the top 1% of global talent, connecting human potential with complex industrial execution. By joining our inner circle, you are not simply taking a position; you are aligning with a strategic partner dedicated to updating your "Human OS" and accelerating your growth through world-class, high-impact projects.
We are currently partnering with a global IT powerhouse that represents the connected world through innovative, customer-centric experiences. As a USD 6 billion organization and one of the top 7 IT service providers globally, our client empowers over 1,200 global customers—including several Fortune 500 companies—to "Rise™." With a massive network of 163,000+ professionals across 90 countries, they are at the absolute forefront of digital transformation, leveraging next-generation technologies such as 5G, AI, Blockchain, and Quantum Computing.
This is your chance to thrive in a workplace recognized as one of the most sustainable corporations in the world. You will join an environment that values innovation and societal impact, working on end-to-end digital transformation projects for global leaders. If you are a driven professional looking for global career opportunities and exposure to high-impact projects within an international network of expertise, this is where you belong.
We are currently searching for a Contract Architect:
The Challenge (Responsibilities)
- Partner with Product Managers, Business Analysts, and stakeholders to clarify outcomes, shape product vision, and translate requirements into pragmatic architecture options.
- Produce concise architecture blueprints, high-level and low-level designs, technical decision records, and implementation guidance for platform products.
- Design secure, scalable, and reusable services, APIs, datastore patterns, integration approaches, UX-facing capabilities, and common components.
- Work closely with engineering teams to turn architecture into implementation, including hands-on prototyping, code review, pair design, design assurance, and technical debt management.
- Select appropriate technologies, promote reuse, define development standards, and help create common frameworks or accelerators across the platform.
- Participate in planning and estimation, maintain the architecture backlog, and make trade-offs across cost, risk, quality, security, and time-to-market.
- Coordinate with other architects, security, platform, and engineering teams to align designs with enterprise standards and delivery constraints.
- Apply AI-assisted and agentic engineering practices responsibly to improve delivery, quality, documentation, testing, and developer productivity.
Your Profile (Requirements)
- Strong architecture experience across cloud-native application, integration, data, and security domains, with the judgment to balance governance and delivery pace.
- Hands-on software engineering capability in at least one modern language such as C#, Java, JavaScript/TypeScript, or Python, plus confidence reading and reviewing production code.
- Practical experience using agentic AI coding tools and AI-assisted delivery workflows (e.g., GitHub Copilot, Cursor, Windsurf, Claude Code, OpenAI Codex-style agents).
- Practical Azure experience, including compute, storage, networking, security, Azure Policy, Entra ID, RBAC, Key Vault, and tenant-aware identity patterns.
- Experience with APIs, microservices, containers, and Kubernetes (preferably AKS), plus CI/CD and DevSecOps practices using Azure DevOps and/or GitHub.
- Ability to design access management, authentication, and authorization patterns for users, services, and platform-to-platform integrations.
- Good understanding of compliance, in-application security, secure-by-design patterns, and operating within enterprise technology standards.
- Experience designing for reusability, maintainability, observability, cost optimization, and technical debt control.
- Clear communication style, able to work with senior stakeholders, product teams, engineers, and architects across distributed teams.
- High-Performance Mindset: Resilience, emotional intelligence, and a focus on agile delivery.
- Technologist DNA: A deep understanding of the difference between "coding" and "engineering."
Desired
- Experience with internal developer platforms, reusable engineering assets, or platform marketplace models.
- Experience with generative AI solution patterns, retrieval-augmented generation, prompt evaluation, automated testing, and AI governance guardrails.
- Familiarity with enterprise UX patterns, workflow automation, and low-code/no-code product capabilities.
- Azure Solutions Architect Expert, Azure Security Engineer, TOGAF, SAFe, or comparable architecture/security certification.
- Familiarity with cloud-native foundations or AI coding assistants.
Languages
- Advanced Oral English: For seamless collaboration with global teams.
- Advanced Spanish.
Special Notes
- This is a Contract role working on our Client's global foundational technology platform for building, running, and scaling technology solutions.
Work Arrangement
We value flexibility to support your lifestyle. This position is available as:
- Remote (Depending on specific project needs).
If you meet these qualifications and are pursuing new challenges, start your application on our website to join an award-winning employer. Explore all our job openings | Sequoia Career’s Page:
Requirements
- Strong architecture experience across cloud-native application, integration, data, and security domains.
- Hands-on software engineering in C#, Java, JavaScript/TypeScript, or Python.
- Practical experience using agentic AI coding tools (GitHub Copilot, Cursor, etc.).
- Practical Azure experience (compute, storage, networking, security, Entra ID, RBAC).
- Experience with APIs, microservices, containers, and Kubernetes (AKS).
- CI/CD and DevSecOps practices using Azure DevOps and/or GitHub.
- Ability to design access management, authentication, and authorization patterns.