This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As a Sr Software Engineer, Distributed Systems, you’ll be responsible for powering the rapidly growing Fanatics Markets app. In your role you'll be recognized as a technical leader, combining strategic thinking with hands-on execution. - Lead ambitious projects, setting the standard for your team through innovative solutions. - Balance immediate business needs with long-term technical excellence. - Foster a culture of excellence and innovation, impacting your team and the broader mobile development community. - Lead the design and scaling of distributed systems. Responsibilities - Design and scale distributed systems using Kotlin, Java, and Spring Boot, ensuring the platform can handle massive traffic spikes during live global events. - Build and optimize high-throughput applications using Postgres, Kafka, and Redis/Redis PubSub, prioritizing data integrity and low latency. - Drive performance across services and infrastructure, implementing strategies for backpressure, circuit breaking, and "Exactly-Once" processing. - Partner with product and engineering leadership to align technical strategy with business goals, making "big bet" decisions on build vs. buy. - Foster a mindset of well-designed systems and test-driven development. - Lead deep-dive code reviews, maintain technical documentation, and mentor engineers. - Set company-wide standards for observability, schema evolution, and deployment patterns within a cloud-native environment. Qualifications - 3 plus years of software engineering experience with a primary focus on distributed systems and high-concurrency environments. - Expert-level proficiency in Java or Kotlin, Spring Boot, and modern API design (REST, gRPC, and Protobuf). - Deep experience with Kafka (or Red Panda/PubSub), including an understanding of internal mechanics, partition strategies, and consumer group rebalancing. - Hands-on experience with Kubernetes, Helm, Terraform, and cloud-native infrastructure. - Proven ability to diagnose bottlenecks in asynchronous messaging and implement complex architectural patterns like idempotency and distributed caching. - Demonstrated ability to influence technical direction without direct authority and guide teams through complex architectural transitions. - B.S., M.S., or PhD in Computer Science or equivalent professional experience. Salary Range $137,500-$181,250 USD per year. The base salary for this role is based on job-related knowledge, skills, and experience and may vary depending on the successful candidate’s geographic location. Remote employees may also be eligible for a home office setup stipend. Interview and Onboarding Experience Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process.

• Optimize engineering processes with agentic AI: Diagnose workflow bottlenecks, then implement agentic automation, templates, and “golden paths” that reduce cycle time and deployment time while maintaining reliability. • Team enablement for agentic AI & AI-native development: Coach teams to apply AI-native development using Claude Code or other tools safely and effectively, pairing on real tasks, guiding PRs/diff review, and driving measurable improvements. • Agentic orchestration & decomposition: Design robust multi-agent workflows, including the use of commands, hooks, skills, and model selection for repeatable outcomes. • Assessment & evaluation design: Design skill assessments to diagnose current-state engineering and agentic-AI proficiency, define modular entry points, and measure improvement over time (pre/post assessments, competency rubrics, and program effectiveness metrics). • Claude Code CLI mastery: Operate Claude Code CLI as a daily driver for parallel workstreams and tasks (multi-file refactors, parallel tasks, debugging loops, test creation, and documentation updates). • Agentic hierarchies & context management: Implement scalable agentic tooling hierarchies, context retrieval and context management for long running and complex workflows (retrieval patterns, state handling, summarization, context hygiene) to prevent drift and improve reproducibility. • DevSecOps for agentic engineering: Embed DevSecOps principles and practice into agentic workflows (least privilege, secrets hygiene, dependency/supply-chain awareness, policy-compliant usage, auditability). • Terraform & IaC: Provision and manage cloud infrastructure (AWS/GCP/Azure) using Terraform, enabling secure environments that support agentic development (ephemeral environments, CI runners, permissions). • Software architecture & engineering excellence: Apply strong architecture judgment; guide refactors and implementation patterns suitable for AI-native development; enforce testing and quality standards. • Stay current in agentic software development: Continuously evaluate emerging agentic tooling, model capabilities, and workflow patterns; synthesize learnings into updated playbooks, curriculum, and client recommendations. • Training assets, teaching & knowledge transfer: Create practical training artifacts (labs, playbooks, troubleshooting guides, examples) and deliver instruction through workshops, live training, and office hours so teams can adopt standardized workflows consistently.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This position is posted by Jobgether on behalf of a partner company. We are currently looking for a VP of Engineering - REMOTE. In this pivotal role, you will create and lead an Engineering Leadership Team focused on AI-powered productivity and architectural excellence. Your mission will be to address critical engineering challenges while enhancing productivity through the integration of advanced AI tools. You will collaborate closely with various leaders to define best practices and drive significant improvements in quality and operational efficiency, ensuring a seamless development experience. Your expertise will guide the transition to innovative architectures, ultimately transforming how software is developed globally. - Lead the new Engineering, Architecture and Transformation pillar as part of the ELT. - Drive the definition and improvement of engineering best practices across teams. - Champion the internal use of GitLab's tools and unblock teams for faster delivery. - Define and guide the transition to next-generation, AI-optimized architecture. - Establish and lead the Architecture, Quality and Engineering Excellence team. - Collaborate with senior leaders to address systemic horizontal challenges. - Promote a culture of engineering excellence aligned with operational efficiency. Qualifications - Proven experience leading large-scale engineering organizations. - Deep understanding of world-scale service operations with a focus on quality. - Expertise in modern software architectures and major architectural transitions. - Hands-on leadership style with technical engagement in code and design. - Proficiency in AI-assisted development and tooling. - Experience with cost-conscious engineering decisions and performance optimization. - Ability to influence stakeholders across functional teams. Benefits - Comprehensive benefits to support health, finances, and well-being. - Flexible Paid Time Off policies. - Programs for personal and professional growth and development. - Equity compensation and employee stock purchase plans. - Support for home office setup and parental leave.

• Develop functions in C/C++ and C# aligned with the product architecture. • Collaborate with the team to create automation and digital transformation solutions. • Implement automated tests and perform code maintenance. • Attend team meetings to discuss improvements and project progress. • Monitor product stability and performance in production use.