Lead Platform Engineer

Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes.

Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively.

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.

• 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.

• 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.

• Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation.
• Be part of a global team with equal opportunities for collaboration across continents and cultures.
• Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.

If you\'re excited to build things that matter, champion responsible AI, and grow with some of the industry's sharpest minds. Apply today and let's innovate together.