Engineering Manager
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Job Description
Engineering Manager leading AWS platform engineering for DTN, a global data and technology company serving energy, agriculture, and weather industries. Building secure distributed systems, developer tooling, and AI-enabled capabilities.
Responsibilities:
- Lead and manage a team of platform engineers across multiple experience levels, including hiring, onboarding, performance management, professional development, and day-to-day delivery
- Coach, mentor, and grow engineers while establishing a healthy, collaborative, high-accountability engineering culture
- Set and maintain standards for engineering quality, technical execution, operational discipline, and continuous improvement
- Serve as a hands-on technical leader in architectural discussions and complex technical tradeoffs
- Own the platform's technical direction with senior engineers and architecture stakeholders
- Guide design and implementation of foundational, distributed, multi-account AWS cloud systems
- Oversee developer-facing APIs, SDKs, CLIs, tooling, and managed services
- Lead distributed-systems efforts involving secure cross-account communication, multi-tenant isolation, provisioning, and lifecycle automation
- Develop platform abstractions over raw cloud infrastructure
- Guide architecture for new and evolving platform capabilities, including greenfield development
- Ensure scalability, security, maintainability, and long-term reuse across products and teams
- Drive platform adoption and developer experience through reusable capabilities, developer productivity improvements, a developer portal, technical documentation, and productized platform capabilities
- Incorporate stakeholder feedback into technical priorities and product roadmap
- Own 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
- Own on-call operations, incident response, and service-level objectives
- Promote automated testing, infrastructure as code, trunk-based development, and incremental reversible delivery
- Partner with Architecture, Identity, Product, Solutions/Field Engineering, and platform consumers
- Translate strategic objectives 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-augmented platform capabilities involving LLMs, AI agents, and related services
Requirements:
- 8+ years of software engineering experience
- At least 2 years operating at a T3 (Staff) through T5 (Principal) engineering level
- At least 2 years in a technical lead or engineering management capacity
- Demonstrated experience shipping, operating, and supporting production software systems
- Proven ability to hire, coach, mentor, and develop engineers across multiple experience levels
- Experience establishing a healthy engineering culture built on accountability, collaboration, technical excellence, and continuous improvement
- Ability to provide credible technical leadership while managing engineering delivery, people development, and operational responsibilities
- Strong technical foundation in AWS cloud-native architecture and distributed systems
- Ability to engage deeply with engineers on system architecture, critically review technical designs, and make informed architectural tradeoffs
- Experience working with platform engineering, developer tooling, SDKs, infrastructure, or similar teams building foundational capabilities for other engineers
- Strong 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
- Understanding of architecture and operational considerations for scalable, secure, reliable shared platform capabilities
- Familiarity with modern AI development toolkits and AI-assisted engineering workflows, including coding assistants and agentic development tools
- Understanding of incorporating AI-augmented capabilities, including 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
- Ability to communicate complex technical decisions, architectural tradeoffs, delivery progress, and risks to technical and non-technical stakeholders
- Demonstrated ability to influence technical direction and coordinate delivery across teams with competing priorities
- Experience with or familiarity with multi-tenant SaaS platforms, cross-account control planes, internal developer platforms, TypeScript, Node.js, Terraform, serverless technologies, container services, managed data stores, cloud security primitives, 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
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