Senior Software Engineer - PerfectScale by DoiT

Accountabilities:

• Design, build, and maintain large-scale distributed backend systems and high-throughput data pipelines, primarily using Go and modern cloud-native technologies.


• Take ownership of system architecture decisions, ensuring performance, scalability, reliability, and resilience across the platform.


• Actively contribute high-quality production code while driving technical direction and reducing system complexity and technical debt.


• Lead key engineering initiatives related to Kubernetes optimization, backend services, and data-intensive workloads.


• Collaborate closely with product, engineering, and R&D teams to define technical roadmaps and translate product requirements into scalable solutions.


• Improve engineering standards across testing, observability, CI/CD, and infrastructure practices.


• Mentor engineers and contribute to a strong culture of technical excellence and continuous improvement.

Requirements

• 8–15+ years of backend engineering experience, including strong expertise in distributed systems and production-grade architectures.


• At least 2–3 years of hands-on commercial experience with Go as a primary programming language.


• Strong backend development experience in Java, Rust, or Python, with a deep understanding of scalable system design.


• Proven track record of building and maintaining high-load data pipelines and cloud-native microservices architectures.


• Strong experience with databases such as PostgreSQL and ideally ClickHouse or similar analytical systems.


• Solid understanding of containerized environments and DevOps practices, including Docker, Kubernetes, GitOps, CI/CD.


• Strong debugging, performance tuning, and benchmarking skills with a hands-on engineering mindset.


• Excellent communication skills with the ability to collaborate across distributed, cross-functional teams.

• Competitive salary with equity participation via employee stock option plan


• Unlimited paid time off and flexible working arrangements


• Fully remote-first working model across EMEA and selected global regions


• Health insurance and parental leave coverage


• Home office allowance and professional development budget


• Access to peer recognition programs and global engineering communities


• Opportunity to work on cutting-edge Kubernetes and AI-driven infrastructure products


• International, distributed team culture with strong emphasis on autonomy and flexibility

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