Open to opportunities

Aleksa Vasic

@aleksavasic

Message

Senior software engineer specializing in scalable web, cloud, and Web3 systems.

Serbia

Message

What I'm looking for

I seek roles where I can architect scalable cloud-native systems, lead backend or Web3 initiatives, mentor engineers, and deliver measurable reliability and performance improvements in collaborative, engineering-driven teams.

I am a Senior Software Engineer with 8+ years building scalable, high-performance web and cloud applications across SaaS, telecommunications, and Web3 ecosystems.

I design distributed systems, API architectures, and automated workflows that reduce latency, improve reliability, and increase developer productivity.

I have led cloud-native backend development, implemented AI-driven anomaly detection, and engineered microservices and data ingestion pipelines to handle large-scale telemetry and test results.

I champion automated testing, CI/CD, infrastructure-as-code, and mentoring engineering teams to deliver robust, production-grade software with measurable business impact.

Experience

Work history, roles, and key accomplishments

Current

Senior Software Engineer

Current

TelQ Telecom

Jun 2023 - Present (2 years 8 months)

Led development of a cloud-native SaaS backend for SMS QA processing 12,000+ devices and 100M+ test results, implemented AI-driven anomaly detection improving fraud detection accuracy by 34% and reducing manual QA effort by 45%.

Python TensorFlow Redis PostgreSQL GraphQL AWS Terraform React CI CD

Software Engineer

Tenderly

Aug 2020 - Jun 2023 (2 years 10 months)

Built Web3 developer tooling and observability services across 70+ EVM chains, improving debugging time by 42% and optimizing RPC throughput by 36%, while raising platform uptime to 99.92%.

TypeScript Web3 RPC WebSockets Docker Kubernetes Python Real Time Systems Observability

FullStack Developer

Amelia

Mar 2018 - Aug 2020 (2 years 5 months)

Developed Next.js/React modules and backend APIs integrating AI services and event pipelines, reducing user latency by 31% and increasing automation adoption by 40%.