[Remote] Senior Software Dev Engineer

Note: The job is a remote job and is open to candidates in USA. Yahoo is a leading internet services company, and they are seeking a Senior Software Engineer to join their AntiSpam and Delivery team. The role involves driving technical solutions across high-volume spam detection and email delivery pipelines, while also leading initiatives and mentoring engineers.

Responsibilities

• Architect, build, and maintain high-concurrency, distributed microservices in Java and Go that meet stringent SLA, reliability, and security constraints
• Champion AI-assisted engineering practices on the team, leveraging tools like Claude, GitHub Copilot and Cursor to accelerate feature implementation, code refactoring, and automated test suite creation
• Integrate agentic AI workflows and LLM capabilities to enhance real-time spam detection models, abuse pattern recognition, and automated root-cause diagnostics
• Lead technical initiatives across the squad, driving architecture reviews, code quality standards, and continuous deployment to production
• Automate infrastructure provisioning, scaling, CI/CD pipelines, and telemetry monitoring across cloud-native (GCP) and hybrid environments
• Evaluate emerging AI engineering tools and agentic frameworks, recommending safe, effective ways to modernize engineering workflows and eliminate repetitive manual tasks
• Mentor junior and mid-level engineers, fostering a strong culture of technical excellence, continuous learning, and collaborative problem-solving

Skills

• 5+ years of professional software development experience with strong fluency in Java, Go, or C++ (depth in Java is strongly preferred)
• 2+ years of experience designing, owning, and operating components of large-scale distributed server applications in production
• B.S. or M.S. in Computer Science, Computer Engineering, or equivalent practical experience
• Hands-on proficiency with AI-assisted development tools (e.g., Claude, GitHub Copilot, Cursor) to accelerate coding, debugging, and system optimization
• Strong computer science fundamentals in data structures, algorithms, operating systems, and distributed networking
• Proven experience building and deploying cloud-native applications (preferably in GCP or AWS) with CI/CD automation
• Demonstrated ability to lead technical initiatives, guide architectural choices, and mentor engineering peers
• Operational experience managing high-throughput, fault-tolerant distributed systems under strict low-latency requirements
• Experience with prompt engineering, agentic AI frameworks, or integrating LLM APIs into production pipelines and developer tools
• Experience with big data and stream processing technologies (e.g., Hadoop, Spark, Kafka, HBase)
• Background in anti-spam, anti-abuse, text classification, or anomaly detection systems will be a plus
• Working knowledge of scripting languages (e.g., Python) for data analysis and pipeline automation
• Proactive mindset toward experimenting with modern AI workflows and advocating for continuous developer workflow enhancements

Benefits

• Flexible hybrid work options
• Healthcare
• A great 401k
• Backup childcare
• Education stipends
• Much (much) more
• Discretionary annual bonus or commissions (incentive compensation opportunities)

Company Overview

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