Senior Platform Engineer (Backend)

BlinkOps is the AI company powering the future of security automation. Our platform enables organizations to automate complex processes with deterministic reliability, freeing them to focus on what matters most. Through intelligent orchestration and proven workflows, we act as the force multiplier for security operations-driving faster incident response, eliminating alert fatigue, and staying ahead of cyber threats.

About the Role

As a Senior Platform Engineer (Backend) at BlinkOps, you will play a key role in shaping the core infrastructure and architecture of our platform. You will be deeply involved in hands-on development, contribute to technical design, and help drive engineering excellence. In this role, you will collaborate with other engineers, share best practices, and take part in building scalable, high-quality backend systems.

• Design, develop, and test cloud-native microservices and backend components with high standards of scalability, reliability, and security
• Own key areas of the platform's infrastructure and contribute to the architecture of enterprise-grade systems
• Collaborate with engineering and product teams to translate business needs into robust technical solutions
• Work across a modern tech stack including cloud services, Linux, Docker, Kubernetes, and CI/CD pipelines
• Drive best practices in code quality, system design, observability (logs, metrics, tracing), and testing
• Stay up to date with emerging technologies and help evaluate tools that support platform evolution
• Share knowledge through code reviews and technical discussions, fostering a culture of continuous improvement

• 5+ years of backend development experience, with a proven track record in fast-paced, production environments
• Strong understanding of internet protocols and OS fundamentals (DNS, HTTP, I/O, resource management)
• Hands-on experience with cloud-native architecture, including Docker, Kubernetes, and microservices
• Proficiency in Go (preferred) or other backend languages such as Python, Java, or C#
• Experience with cloud platforms (AWS, Azure, GCP) and Infrastructure-as-Code tools like Terraform or CDK
• Familiarity with observability practices (logging, metrics, tracing) and designing for production reliability
• Knowledge of databases (SQL & NoSQL) and message brokers (Kafka, RabbitMQ, SQS); experience with distributed systems concepts is a plus