AI-First Solutions Architect — Cloud, Microservices & Scale

Proximity Works; United States; Remote; USD 150,000 - 230,000; Full time

Job summary

Proximity is seeking an experienced Solutions Architect to design the technical blueprint for large-scale sports, media, and entertainment platforms. You will translate business goals into scalable architectures, de-risk delivery, and guide teams from discovery to production at scale.

The role requires deep expertise in cloud, microservices, data pipelines, and GenAI/LLM prototypes, with strong communication to C‑level and engineering teams across multiple clients and time zones.

Qualifications

• 12-15 years of software engineering experience, with at least 3 years in a solutions architect, technical architect or tech lead role.
• Strong hands-on background in at least one backend stack (Java/Kotlin, Go, Node.js or Python) and a solid grasp of frontend and mobile architectures.
• Deep expertise in cloud platforms (AWS preferred), containers and orchestration (Docker, Kubernetes), and infrastructure‑as‑code (Terraform or similar).
• Proven experience designing distributed, high‑traffic systems: microservices, caching, CDNs, queues/streams (Kafka, SQS/PubSub), and SQL/NoSQL databases.
• Excellent communication skills, with the ability to present to both C‑level stakeholders and engineering teams.

Responsibilities

• Lead technical discovery with clients to understand business goals, existing systems and constraints, and turn them into clear solution architectures.
• Design scalable, secure and cost-efficient cloud architectures (AWS/GCP/Azure) for web, mobile, TV and backend platforms.
• Own architecture decisions across microservices, APIs, data pipelines, event-driven systems and integrations with third-party platforms.
• Build effort estimates, technical proposals and delivery roadmaps, and support pre-sales conversations with credible, well-reasoned solutions.
• Guide engineering teams through implementation, reviewing designs and code to make sure what’s built matches the architecture and quality bar.
• Drive non-functional excellence: performance, high availability, observability, security and compliance at massive scale.
• Evaluate and prototype emerging technologies, especially GenAI/LLM and agentic systems, and recommend where they create real business value.
• Define architecture standards, reusable reference architectures and best practices across Proximity’s engagements.
• Mentor engineers and tech leads, and contribute to knowledge-sharing through Proximity Talks, blogs and thought leadership.
• 12-15 years of software engineering experience, with at least 3 years in a solutions architect, technical architect or tech lead role.
• Strong hands‑on background in at least one backend stack (Java/Kotlin, Go, Node.js or Python) and a solid grasp of frontend and mobile architectures.
• Deep expertise in cloud platforms (AWS preferred), containers and orchestration (Docker, Kubernetes), and infrastructure‑as‑code (Terraform or similar).
• Proven experience designing distributed, high‑traffic systems: microservices, caching, CDNs, queues/streams (Kafka, SQS/PubSub), and SQL/NoSQL databases.
• Strong understanding of system design trade‑offs: scalability, latency, availability, security and cost.
• Experience translating business requirements into technical solutions, writing architecture documents, and producing estimates and proposals.
• Excellent communication skills, with the ability to present to both C‑level stakeholders and engineering teams.
• Ability to break down complex problems into simple, practical solutions that serve business needs.
• Comfortable working in ambiguity and across multiple clients, time zones and priorities.

Job description

Proximity is seeking an experienced Solutions Architect to design the technical blueprint for large-scale sports, media, and entertainment platforms. You will translate business goals into scalable architectures, de-risk delivery, and guide teams from discovery to production at scale.

The role requires deep expertise in cloud, microservices, data pipelines, and GenAI/LLM prototypes, with strong communication to C‑level and engineering teams across multiple clients and time zones.