• Respond to live incidents • Maintain accurate incident records and handover • Improve the reliability system • Coordinate the right response • Protect developers from routine pages • Deliver timely and accurate impact assessments • Use AI throughout triage and diagnosis • Produce a clear incident record • Validate that customer outcome has recovered • Keep ownership, uncertainty, decisions and next actions visible

• Respond to live incidents • Receive automated alerts and technical escalations from Support, then establish customer impact, severity, blast radius and the current system state. • Investigate using logs, metrics, traces, dashboards, deployment history, infrastructure, databases, queues, background jobs, APIs and application code. • Use AI throughout triage and diagnosis while checking its conclusions against real evidence. • Choose and execute a proportionate mitigation, rollback, repair or bounded fix. • Validate that the customer outcome has recovered - not only that an alert has cleared or a dashboard has turned green. • Keep ownership, uncertainty, decisions and next actions visible, and give Support clear technical facts for customer communication. • Join customer conversations occasionally when direct technical involvement is genuinely useful. • Bring in the relevant product team when an incident requires deep product knowledge, a material product decision or a substantial root-cause fix. • Escalate with evidence, customer impact, actions already taken and the specific decision or help required. • Protect developers from routine pages; they should normally be disturbed only for genuine P0/P1 impact or product-specific judgement that cannot safely wait. • Produce a clear incident record and handover, and make sure immediate mitigation, product follow-up and reliability-process follow-up reach the right owners. • Remove, consolidate and tune low-value alerts, and design monitoring around real service and customer outcomes. • Analyse material incidents with AI, validate the conclusions and turn repeated failure patterns into better alerts, runbooks, AI Skills, automation or product improvements. • Improve dashboards, diagnostics, service ownership and escalation information so common incidents are easier to understand and resolve. • Create safe, supervised automation for common operational actions. • Work with product teams to close observability, rollback, runbook and supportability gaps.

Role Description Production Support (Spring Boot, NodeJS, Python) Location: Mexico, remote 100% - Excellent and strong communication skills specifically in debug production systems. - Minimum three years of experience building and supporting backend services with NodeJS. - Minimum three years of experience in Spring Boot 3.X. - Minimum three years of experience in Python for data processing, scripting, automation, and backend services. - Minimum three years working with relational or NoSQL databases and building scalable web applications. - Minimum five years of experience in SQL specifically PostgreSQL. - Knowledge of TypeScript and ability to write clean, maintainable, strongly typed code. - Solid frontend development experience using React and modern React patterns. - Strong hands-on experience with Material UI both current and older versions. - Experience designing and building REST APIs and integrating them with frontend applications. - Experience with testing frameworks for both frontend and backend development. Qualifications - Minimum three years of experience in Spring Boot 3.X. - Minimum three years of experience in Python for data processing, scripting, automation, and backend services. - Minimum three years of experience building and supporting backend services with NodeJS. - Minimum five years of experience in SQL specifically PostgreSQL. - Knowledge of TypeScript. - Solid frontend development experience using React. - Strong hands-on experience with Material UI. Requirements - Excellent communication skills. - Experience with relational or NoSQL databases. - Experience designing and building REST APIs. - Experience with testing frameworks for both frontend and backend development. Company Description

Role Description As a Software Engineer specializing in block production, scheduling, and verification, you will play a critical role in fortifying Anza's Agave client and the broader Solana network. This team owns the core pipeline between networking and the runtime, responsible for processing ingested transactions and coordinating block-production and verification. Your work will directly contribute to the efficiency and reliability of our blockchain infrastructure, ensuring seamless and timely block production, scheduling, and verification. You will focus on optimizing the processes that underpin the generation and propagation of blocks, ensuring they are secure, performant, and scalable to meet the demands of future growth. Responsibilities - Develop and Optimize Block Production: Design, implement, and optimize the mechanisms for block production to enhance the throughput and stability of the Solana network. - Efficient Scheduling: Develop and refine scheduling mechanisms for both block production and block verification, enabling efficient transaction processing, fair resource allocation, and predictable performance. - Ensure Security and Integrity: Identify and mitigate potential security vulnerabilities within the pipeline, ensuring robust protection against emerging threats. - Scalability and Performance: Work on improving the scalability of the pipeline to handle increasing transaction volumes and validator participation without compromising on performance. - Testing and Validation: Create and execute comprehensive tests to validate the reliability and efficiency of the block production, block verification, and scheduling mechanisms, including stress tests, fault injection, and performance benchmarking. - Collaboration: Collaborate with cross-functional teams, including core protocol engineers, security experts, and infrastructure teams, to ensure the seamless integration and functioning of the block production components. - Documentation and Code Review: Maintain thorough documentation of the block production and scheduling protocols and conduct peer code reviews to uphold high standards of code quality and consistency. - Shared-Memory Systems: Design and maintain high-performance shared-memory interfaces between scheduling and execution stages, enabling low-latency coordination and efficient data movement across the validator pipeline. Qualifications - A Bachelor's degree in Computer Science, Engineering, or equivalent practical experience. - 3+ years of hands-on experience with core infrastructure software and distributed systems. - Strong proficiency in systems programming languages such as Rust, C, or C++. - Experience with distributed systems and blockchain technology is highly desirable. - Ability to analyze complex systems, identify potential issues, and develop effective solutions. - Knowledge of common security threats and best practices in securing block production processes. - Experience with performance profiling and optimization techniques. - Excellent teamwork and communication skills, with the ability to work effectively in a collaborative environment. Preferred Qualifications - Familiarity with Linux, systems automation tools, and systems architecture. - Deep understanding of architecture and principles underlying distributed systems. - A knack for designing secure protocols, software, and algorithms that minimize trust requirements. - Active participation in Bitcoin/Ethereum/Blockchain projects or the open-source community is highly desirable. Benefits - Dynamic, fast-paced environment focused on innovation and problem-solving. - Direct impact on the security and scalability of blockchain technology. - Contribution to the foundation of decentralized applications worldwide. - Competitive salary range for US-based candidates: $180,000 USD to $300,000 USD, determined throughout the interview process based on experience, skill, and location.