About The Position

Tervio.ai is a cloud migration intelligence SaaS platform. Tervio empowers organizations, AWS Presales, Solutions Architects to plan, model, and execute cloud to cloud migrations through automated billing analysis, service-level mapping, cost comparison, and detailed readiness reporting — all delivered via a self-serve web platform. The platform is actively used by AWS Presales, Solutions Architects, AWS partners, and clients to de-risk migration decisions and accelerate time-to-value on AWS.

Requirements

  • 12+ years of software engineering experience, with at least 3–5 years in a principal, staff, or architect-level role.
  • Deep, hands-on AWS expertise — you have designed and operated production systems at scale on AWS.
  • Strong command of cloud-native architecture patterns: microservices, event-driven systems, serverless, and managed services.
  • Proven experience designing data-intensive platforms — ETL pipelines, large-file processing, cost or billing analytics, or similar.
  • Expertise with Infrastructure-as-Code (Terraform preferred); strong opinions on IaC governance and drift management.
  • Deep understanding of SaaS security architecture — encryption, IAM, secrets management, multi tenant data isolation.
  • Track record of making and documenting consequential architectural decisions in a product environment.
  • Based in Mexico and India (fully remote).

Nice To Haves

  • Prior experience at AWS or with AWS partner programs — understanding of how AWS SAs and Presales evaluate partner technology.
  • Familiarity with GCP billing structures, SKU catalogs, and cloud cost management tooling.
  • Experience building extensibility frameworks — plugin architectures, MCP servers, or API-first platform designs.
  • Background in FinOps, cloud cost intelligence, or migration tooling platforms.
  • Hands-on experience with AI/ML model integration in production SaaS systems (LLM APIs, embeddings, prediction services).
  • Experience with AWS Well-Architected Framework reviews and partner competency technical requirements.
  • Background leading architecture in a small, fast moving SaaS team where architectural decisions have immediate product impact.

Responsibilities

  • Define and own Tervio's end-to-end technical architecture — covering application, data, infrastructure, and integration layers.
  • Establish architecture principles, patterns, and standards that the engineering team builds against consistently.
  • Make high-stakes technical decisions on platform design, service boundaries, data models, and technology selection.
  • Ensure the architecture supports multi-tenancy, high availability, horizontal scalability, and enterprise-grade security at every layer.
  • Own the design of Tervio's core intelligence engines: GCP billing parser, SKU-to-AWS mapping engine, cost modeling service, and assessment summary generator.
  • Drive accuracy, performance, and coverage improvements to the mapping and cost calculation layers — the heart of the product's value proposition.
  • Architect the extensibility framework that allows new cloud source integrations (Azure, multi-cloud) and output formats to be added without core rewrites.
  • Lead the technical design of scenario modeling, "what-if" analysis, and future AI/ML-enhanced recommendations.
  • Own Tervio's AWS infrastructure architecture across Dev, Staging, and Production environments —including compute, storage, networking, and security posture.
  • Define and enforce IaC standards using Terraform; ensure all infrastructure is version-controlled, auditable, and reproducible.
  • Architect CI/CD pipelines, deployment strategies (blue/green, canary), and release governance for a SaaS product with enterprise clients.
  • Drive cloud cost optimization decisions — Tervio helps clients model cloud costs; the platform itself must model and practice what it preaches.
  • Own security architecture end-to-end: data encryption (in transit and at rest), access control, authentication (OTP, SSO, API keys), and audit logging.
  • Ensure the platform meets enterprise security expectations — customers upload sensitive billing data and trust Tervio to handle it with care.
  • Architect for compliance with AWS partner program technical requirements and relevant data handling standards.
  • Define and enforce secrets management, least-privilege IAM policies, and network segmentation across all environments.
  • Serve as Tervio's technical authority in AWS partner conversations — supporting the CTO and CRO in competency evaluations, technical deep dives, and co-sell engagements.
  • Translate requirements from AWS Presales and Solutions Architects into architectural decisions and engineering deliverables.
  • Evaluate integration opportunities with AWS tooling (Transform, MAP, Bedrock, etc.) and provide clear build vs-integrate recommendations.
  • Ensure Tervio's architecture aligns with AWS Well-Architected Framework principles — particularly relevant for partner competency submissions.
  • Provide technical mentorship and architectural guidance to the engineering team — raising the overall technical bar across all repos and services.
  • Conduct architecture reviews, establish PR standards, and own technical debt decisions with clear remediation plans.
  • Partner with the Product Lead to ensure roadmap features are technically scoped with realistic effort estimates and no architectural surprises.
  • Drive documentation culture — architecture decision records (ADRs), system diagrams, and runbooks should be first-class artifacts.
  • Define SLAs, SLOs, and error budgets for all platform services; build the observability stack to measure and enforce them.
  • Architect for fault tolerance — the assessment pipeline must be reliable even when processing large, malformed, or multi-part billing exports.
  • Own the monitoring, alerting, and incident response architecture using AWS-native and third-party tooling.
  • Drive performance benchmarks for the billing ingestion and mapping engine — speed of analysis is a competitive differentiator.
  • Own Tervio's data architecture — ingestion pipelines, storage models, processing patterns, and reporting layers.
  • Define the path toward AI/ML-enhanced capabilities: smarter service mapping, anomaly detection in billing data, and predictive cost modeling.
  • Ensure data models are extensible enough to support new cloud providers, new billing schemas, and new output formats without replatforming.

Benefits

  • Report directly to the CRO
  • Direct line to strategic decision-making and immediate visibility into how field insights shape the business
  • Fast feedback loops
  • Cutting-edge technology
  • Work with former Amazonians
  • AWS ecosystem access
  • Fully remote with a collaborative, fast-moving culture and a flat decision making structure.
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