Cloud Strategy & FinOps Senior Analyst

Responsibilities

• Own the architectural vision for Bizplat's platform systems, defining the target state for a consolidated, well-architected service landscape that supports automation across Risk & Compliance, Customer Support, GTM/Sales, Finance, and Hardware Supply Chain.
• Drive service consolidation by identifying redundant, overlapping, or underutilized services and leading the technical strategy to turn them down, migrate workloads, and converge onto shared systems.
• Design and build core platform capabilities — including case management, workflow orchestration, AI/ML pipelines, event streaming, and integration frameworks — that are reusable across domains and teams.
• Lead technical planning and execution for high-priority cross-cutting initiatives such as contact center stack convergence, and automation platform maturity.
• Set and enforce engineering standards for system design, API contracts, observability, data governance, and operational reliability across Bizplat's engineering teams.
• Partner with Forward Deployed Engineer (FDE) teams to ensure domain-specific solutions feed back into the platform as reusable capabilities rather than becoming one-off services.
• Make hard architectural tradeoffs between speed of delivery, technical debt reduction, reliability, and long-term platform direction — and communicate those tradeoffs clearly to leadership.
• Mentor and elevate engineers across the organization through design reviews, technical guidance, and knowledge sharing that raises the overall quality bar.
• Collaborate with stakeholders across Risk Ops, Customer Ops, Sales Ops, Finance, and Hardware to translate operational needs into scalable technical solutions.
• Use AI as a force multiplier in your engineering workflow and in the systems you design leveraging LLMs, agentic architectures, and automation to accelerate delivery.

Requirements

• 10+ years of software engineering experience, with at least 5 years in a technical leadership or architect role owning systems at scale.
• Deep experience consolidating and simplifying complex service architectures — you've successfully reduced service sprawl, migrated workloads across systems, and decommissioned legacy services in production environments.
• Strong systems design and architecture skills, with demonstrable experience building platforms used by multiple teams and business domains.
• Experience building or operating automation, workflow orchestration, or case management systems (e.g., Temporal, Airflow, custom workflow engines, or similar).
• Track record of driving technical strategy across organizational boundaries — you've aligned multiple teams to a shared platform vision and executed on multi-quarter roadmaps.
• Fluency in designing for scalability, reliability, and governance — you understand the operational realities of running systems that process high-volume decisions in regulated environments.
• Experience with one or more of: AI/ML pipeline integration, event-driven architectures, contact center platforms, or business process automation.
• Strong software engineering fundamentals with the ability to write production-quality code, conduct meaningful design reviews, and make sound build-vs-buy decisions.
• Excellent communication and collaboration skills — you can explain complex architectural decisions to both engineering teams and non-technical business stakeholders.
• Comfort navigating ambiguity across multiple domains, making pragmatic decisions with incomplete information, and adjusting course as requirements evolve.

Nice-to-Haves

• Experience working with Forward Deployed Engineering or embedded platform team models where platform and domain concerns intersect.
• Background in financial services, risk/compliance, or payment systems where regulatory requirements shape architecture decisions.
• Familiarity with AI-powered decision systems, LLM-based automation, or agentic workflows in production.
• Experience with specific technologies in our stack: Kubernetes, Kafka, Temporal, GraphQL, Go, Java, or Ruby.
• Track record of reducing operational costs through platform consolidation (e.g., reducing manual hours, converging vendor tooling, eliminating duplicate data pipelines).