Senior Lead Software Engineer, Developer Infrastructure at Klaviyo · LumiJobs

Responsibilities

As a Senior Lead Software Engineer, you will have an overarching responsibility for the architecture, health, and dependencies for the Klaviyo code base with a focus on the backend. Your role will involve:
Technical Strategy: Define technical strategy within the scope of the Klaviyo backend and execute to improve the area's architecture, products, infrastructure, and processes.
Strategic Planning and Architecture: Define the technical vision and architectural roadmap for the platform, ensuring all upgrades and dependency management align with long-term business goals for scalability, reliability, and security.
Dependency Management: Lead efforts to determine, analyze, and optimize backend and third-party dependencies, ensuring they are secure, performant, and reliable. This includes establishing frameworks for risk assessment and contingency planning related to dependencies.
Platform Upgrades and Rollouts: Oversee and assist with the planning and seamless rollout of major software releases and updates, managing the entire lifecycle from design to deployment in production environments including significant individual contributions.
Enhance Developer Productivity: Drive initiatives to improve platform cycle time metrics across the board, including PR CI Speed, Human Code Review Pickup Time, and Commit Velocity by Repo. This involves a relentless focus on reducing toil and increasing engineering efficiency.
Mentorship: Mentor other engineers regularly, primarily experienced lead and senior engineers. Ensure others in the area are developing skills they need to improve within the organization.
Problem Solving and Reliability: Act as a go-to expert for diagnosing and resolving complex performance, scalability, and reliability issues across the platform. Implement proactive monitoring and telemetry to identify and address problems before they become critical incidents.
Cross-functional Collaboration: Partner with product managers, security teams, hardware engineers, and other stakeholders to gather requirements, resolve conflicts, and ensure alignment across all teams and projects.
Continuous Improvement: Stay current with emerging technologies and industry trends, evaluating new tools and practices to identify how they can improve systems and internal processes.

Qualification

BA or BS Degree in Computer ScienceTechnical ExpertiseTechnical StrategyArchitectural SkillsSoft SkillsAI EnthusiastBackground in performance optimizationPythonApache KafkaMySQLTypescriptGraphite

Required

12 years of experience in software development, strong knowledge of computer science fundamentals, domain-driven design, and extensive expertise in architectural patterns, specifically within the domain of distributed systems.
BA or BS Degree in Computer Science, related field, or equivalent experience.
Technical Expertise: Deep expertise in relevant programming languages (e.g., Go, Python) and cloud platforms (AWS, Azure, GCP), containerization (Kubernetes, Docker), and Infrastructure as Code (Terraform).
Technical Strategy: Demonstrated experience in contributing to the product and platform vision, as well as defining the strategy within the broader scope of long-term organizational needs.
Architectural Skills: Strong understanding of software architecture, design patterns, and system integration, with the ability to define technical strategies and influence architectural decisions across multiple teams.
Soft Skills: Exceptional problem-solving, analytical, leadership, and communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.
AI Enthusiast: You’ve already experimented with AI in work or personal projects, and you’re excited to dive in and learn fast. You’re hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient.

Preferred

Experience with specific tools such as Pants, FastAPI, Django, React, Terraform, Buildkite.
Background in performance optimization
Familiarity with complex data management for testing, including large datasets and production-like data replication.
Python, Django, FastAPI
Apache Kafka, Apache Pulsar, RabbitMQ, Spark, Airflow, and other tech from the big data stack
MySQL, PostgreSQL, Clickhouse, Redis
Typescript, React, Babel, Jest, Webpack
Graphite, statsd, Chronosphere

Senior Lead Software Engineer, Developer Infrastructure

Responsibilities

Qualification

Required

Preferred

Benefits

Company

Klaviyo

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