Senior Software Engineer

Join the Frontlines of Cyber & AI Innovation!

At Planet Nine, we specialize in revolutionizing the digital world by crafting cutting-edge Cybersecurity and AI technologies. From detecting online threats and scams to safeguarding critical systems, we empower our customers across industries to stay one step ahead. Be part of a team that’s redefining trust in the digital age!

Your Role Involves:

• System Development at ScaleDesigning, developing, and maintaining high-scale data-driven systems.
• Implementing optimizations and monitoring strategies to ensure performance and reliability.
• Data Pipeline SolutionsArchitecting, building, and troubleshooting end-to-end data pipelines.
• Collaborative GrowthWorking closely with data scientists and analysts to develop and refine threat intelligence solutions.
• Participating in code reviews and knowledge-sharing sessions to continuously improve team output.
• Machine Learning PipelinesBuilding and managing ML pipelines for training, deployment, and serving various model types (e.g., supervised, unsupervised).
• Ensuring model performance, scalability, and integration with broader data infrastructure.
• Microservices ArchitectureDeveloping, testing, and maintaining microservices-based systems that handle data and ML workflows.
• Ensuring robust, scalable, and secure service designs using industry best practices.
• ToolingStaying updated on emerging technologies and frameworks to continuously improve the development process.

What You Need:

• Experience in Big Data Solutions
• Proven track record designing, building, and maintaining large-scale, distributed data systems.
• Familiarity with data processing frameworks and architectures (e.g. Kafka, Temporal, Spark).
• Microservices Expertise
• Hands-on experience building and testing microservices systems (e.g., Docker, Kubernetes, ArgoCD).
• Solid understanding of service-to-service communication, APIs, and security best practices.
• 5+ Years of Professional Experience
• Background in software development and/or data engineering.
• Proficiency in relevant programming languages (e.g., Python, Go, Java/Scala).
• Strong Communication and Collaboration Skills
• Proven ability to work effectively with cross-functional teams, including data scientists, analysts, and stakeholders.
• Capacity to translate complex technical concepts into actionable insights for broader audiences.
• Familiarity with Industry Best Practices
• Expertise in observability - monitoring, logging, and alerting to ensure system reliability.
• DevOps Expertise [ Advantage ]
• Experience working with CI/CD pipelines, automation tools, and DevOps methodologies.
• Leveraging tools like ArgoCD, PostgreSQL, Grafana and AtlasGo, to maintain best-in-class DevOps practices.