Lead Platform Engineer (AWS Architecture + Typescript)
Brazil / Argentina / Colombia / Mexico
Cloud Solutions – Data Platform /
Full-time /
Remote
Solvd is an AI-first advisory and digital engineering firm delivering measurable business impact through strategic digital transformation. Taking an AI-first approach, we bridge the critical gap between experimentation and real ROI, weaving artificial intelligence into everything we do and helping clients at all stages accelerate AI integration into each process layer. Our mission is to empower passionate people to thrive in the era of AI while maintaining rigorous ethical AI standards. We’re supported by a global team with offices in the USA, Poland, Ukraine and Georgia.
As a Lead Platform Engineer, you will play a critical role in evolving and scaling our cloud-native data platform to handle 100× growth in data volume and user demand. You’ll partner with engineering, data, and AI teams to design scalable architectures, proactively anticipate and mitigate scaling challenges, and ensure our platform remains performant, reliable, and cost-efficient as it grows.
This is a highly impactful role for an engineer who’s passionate about distributed systems, understands the trade-offs of large-scale design, and thrives on turning ambitious scalability goals into concrete technical strategies.
If you’re excited by the challenge of architecting cloud-native infrastructure to power massive growth and thrive on solving complex scalability problems, we’d love to hear from you.
What you'll do
- Architect and evolve our cloud-native platform infrastructure to support high-throughput, low-latency data processing patterns, customer-facing features, and design platform to meet scalability requirements.
- Design scalable, distributed systems powering complex capabilities such as authentication & authorization, data lifecycle management, search infrastructure, operational intelligence, and real-time event processing.
- Proactively analyze platform performance and scalability; identify potential constraints and define strategies that enable both continuous and step-function growth.
- Collaborate with engineering and product teams to deliver infrastructure that supports new services, customer-facing applications, and high-volume data processing workloads.
- Build and maintain infrastructure-as-code (e.g., CloudFormation, AWS CDK) to automate, standardize, and secure deployments to support online upgrades and on-demand infrastructure allocation.
- Enhance observability and monitoring to ensure reliability, cost efficiency, and rapid incident response.
- Champion best practices in distributed systems design, scalability, and performance optimization, and share architectural insights through design reviews and technical documentation.
Mandatory Requirements
- 10+ years of hands-on experience in software and infrastructure engineering, with a proven track record of designing, building, and scaling distributed, cloud-native systems in production environments.
- Demonstrated experience as a technical leader or architect, making key decisions on system design, scalability, performance, and cost optimization.
- Strong proficiency in API-first design, including REST, GraphQL, and OpenAPI specifications designing APIs that are scalable, secure, versioned, and extensible.
- Strong proficiency in TypeScript and Python, with a focus on building highly performant backend services.
- Expertise in AWS cloud services and architecture, including deep experience with core services (e.g., EC2, Lambda, ECS/EKS, IAM, S3) and advanced data and messaging tools such as SQS, Kinesis, Kafka, and EventBridge.
- Expert knowledge of infrastructure-as-code frameworks such as CloudFormation and CDK, CI/CD pipelines, and strong opinions on production deployment strategy across dozens of platforms.
- Solid understanding of observability best practices, including monitoring, alerting, and distributed tracing for SLI/SLO/SLA design.
- Ability to articulate ideas clearly, present findings persuasively, and build rapport with clients and team members.
- Strong collaboration skills and the ability to partner effectively with cross-functional teams.
