Mikhail Maslakov

Own the architecture roadmap for a global automotive API platform. Advise customers on API usage, performance, caching, and new services. Lead AWS modernization across serverless, containers, data, CI/CD, security, resilience, FinOps, and operations. Share reusable patterns through reviews, playbooks, and presentations. Support provider transitions, mentoring, and multicultural teams. Contribute to AI-native engineering with agents, MCP services, and spec-driven development.

• Supported migration of a large video-on-demand backend from on-premises infrastructure to AWS and helped build its microservices-based successor on ECS. • Implemented AWS infrastructure as code with Terraform and developed Java, Spring Boot, Python, and serverless components.

• Java backend development for maxdome video on demand service • Designed and implemented end-to-end GitLab CI/CD for more than 20 Java applications, adding containerized integration tests and artifact-based releases where deployments had previously relied on manually copied packages.

• Developed and operated a multi-tenant hotel-management SaaS platform on AWS, including third-level on-call support for business-critical customer incidents. • Reimplemented an unmaintainable 32-bit C++ component in .NET using test-driven development and full behavioral compatibility, removing a scalability and licensing risk. • Designed database partitioning, public APIs, partner integrations, and containerized AWS services; contributed to architecture decisions in the lead-developer group.

• Designed and implemented distributed crawling, parsing, search, messaging, and data-storage components for image-enabled search and advertising categorization products. • Built low-latency Redis architecture targeting sub-10-ms responses and up to one billion categorized URLs; optimized memory use through 32-bit instances and manual sharding. • Led a three-person team, interviewed candidates, mentored developers, and collaborated across teams in the United Kingdom and Israel.

Development of hybrid search engine project based on both textual and image based information. Social search engine www.weseesearch.com rolled out as beta version. I was responsible mainly for crawling subsystem but worked also with different problems in indexing and search. The things I had to deal with: multithreading, big distributed data, low-latency networking and communications (WCF, ZeroMQ, Protocol buffers), textual search with Lucene.

• Designed and developed workflow, document-management, task-management, intranet, and equipment-accounting systems for an engineering organization of approximately 1,200 employees. • Delivered components of a locally developed product-lifecycle and project-management platform that moved document and task workflows from paper to digital processes for more than 500 employees. • Worked directly with business stakeholders and users, translating operational needs into maintainable software and automation

System Analysis, Data processing, Business process management and workflow automation