Engineering Manager

This is a fully remote position, open to applicants in Texas.

📋 Description

• Lead and oversee a team of platform engineers with varying levels of experience, including recruitment, onboarding, performance management, professional development, and daily operations.

• Coach, mentor, and develop engineers while fostering a collaborative, high-accountability engineering culture.

• Establish and uphold standards for engineering quality, technical execution, operational discipline, and ongoing improvement.

• Act as a hands-on technical leader in architectural discussions and complex technical decision-making.

• Direct the platform's technical vision alongside senior engineers and architecture stakeholders.

• Guide the design and implementation of foundational, distributed, multi-account AWS cloud systems.

• Supervise developer-facing APIs, SDKs, CLIs, tools, and managed services.

• Lead efforts in distributed systems that involve secure cross-account communication, multi-tenant isolation, provisioning, and lifecycle automation.

• Develop platform abstractions over raw cloud infrastructure.

• Provide architectural guidance for new and evolving platform capabilities, including greenfield development.

• Ensure scalability, security, maintainability, and long-term reuse across products and teams.

• Promote platform adoption and enhance developer experience through reusable capabilities, productivity improvements, a developer portal, technical documentation, and productized platform features.

• Integrate stakeholder feedback into technical priorities and product roadmap.

• Manage security, isolation, reliability, observability, monitoring, and operational visibility.

• Establish IAM, isolation boundaries, least-privilege access, authenticated service-to-service communication, and secure multi-account architectures.

• Take responsibility for on-call operations, incident response, and service-level objectives.

• Advocate for automated testing, infrastructure as code, trunk-based development, and incremental reversible delivery.

• Collaborate with Architecture, Identity, Product, Solutions/Field Engineering, and platform users.

• Translate strategic goals into engineering roadmaps and measurable delivery milestones.

• Communicate technical direction, progress, dependencies, and risks to leadership and cross-functional stakeholders.

• Coordinate across engineering teams to resolve dependencies and align architectural decisions.

• Champion AI-assisted software development and guide AI-enhanced platform capabilities involving LLMs, AI agents, and related services.

⛳️ Requirements

• 8+ years of experience in software engineering.

• Minimum of 2 years operating at a T3 (Staff) through T5 (Principal) engineering level.

• At least 2 years in a technical lead or engineering management role.

• Proven experience in shipping, operating, and supporting production software systems.

• Demonstrated capability to hire, coach, mentor, and develop engineers across various experience levels.

• Experience in cultivating a healthy engineering culture focused on accountability, collaboration, technical excellence, and continuous improvement.

• Ability to provide credible technical leadership while managing engineering delivery, personnel development, and operational responsibilities.

• Strong technical background in AWS cloud-native architecture and distributed systems.

• Competence in engaging deeply with engineers on system architecture, critically assessing technical designs, and making informed architectural decisions.

• Experience working with platform engineering, developer tools, SDKs, infrastructure, or similar teams that build foundational capabilities for other engineers.

• In-depth understanding of secure multi-account and multi-tenant cloud architectures.

• Fluency in cloud identity and access management, tenant isolation boundaries, and security requirements for distributed cloud systems.

• Familiarity with architectural and operational considerations for scalable, secure, and reliable shared platform capabilities.

• Knowledge of modern AI development toolkits and AI-assisted engineering workflows, including coding assistants and agentic development tools.

• Understanding of how to integrate AI-augmented capabilities, such as LLMs, agents, and related services, into modular platform components.

• Ability to guide engineers in adopting AI-assisted development practices without compromising engineering quality.

• Strong communication, collaboration, and stakeholder management skills across Engineering, Product, Architecture, and Go-to-Market organizations.

• Proficient in conveying complex technical decisions, architectural tradeoffs, delivery progress, and risks to both technical and non-technical stakeholders.

• Demonstrated ability to influence technical direction and coordinate delivery across teams with competing priorities.

• Familiarity with or experience in multi-tenant SaaS platforms, cross-account control planes, internal developer platforms, TypeScript, Node.js, Terraform, serverless technologies, container services, managed data stores, cloud security practices, reusable APIs, SDKs, CLIs, developer portals, shared platform services, platform adoption, provisioning and lifecycle automation, secure cross-account communication, multi-tenant infrastructure, trunk-based development, infrastructure as code, automated testing, incremental reversible releases, and operationally complex or data-intensive industries.

🏝️ Benefits

• Competitive Salary

• Unlimited PTO

• Flexible working hours

• Remote work model (position dependent)

• Competitive Medical, Dental and Vision Insurance Plans

• 6% 401K matching

• Unlimited access to 13k+ courses via learning platform to support employee career advancement

• Employee Assistance Program (EAP)

• Opportunity to advance compensation with performance over time

• May be eligible for market competitive variable pay and benefits