DTN
DTN
DTN एक डेटा और एनालिटिक्स कंपनी है, जो कृषि, विमानन, परिवहन और उपयोगिता सेवाओं के क्षेत्र में संगठनों को बेहतर परिचालन निर्णय लेने में सहायता करती है। इसके उत्पाद मौसम संबंधी जानकारी, बाज़ार डेटा और विश्लेषणात्मक उपकरणों को एक साथ जोड़ते हैं, ताकि टीमें जोखिमों का पहले से अनुमान लगा सकें, बदलती परिस्थितियों के अनुसार प्रतिक्रिया दे सकें और दैनिक संचालन का प्रबंधन कर सकें। ClearAg® और WeatherOps® सहित इसके प्लेटफ़ॉर्म जटिल पर्यावरणीय और व्यावसायिक चुनौतियों से निपटने के लिए प्रौद्योगिकी और डेटा विश्लेषण का उपयोग करते हैं।

Remote Engineering Manager, AWS Platform — Texas

Lead DTN’s AWS platform engineering team, building secure distributed systems and developer tools for a global data and technology company serving energy, agriculture, and weather industries. Guide platform architecture, operations, and AI-enabled capabilities.

विवरण

  • Manage platform engineers through hiring, onboarding, performance reviews, professional development, and delivery.
  • Mentor engineers and build a collaborative culture centered on accountability.
  • Set standards for engineering quality, technical execution, operations, and continuous improvement.
  • Provide hands-on technical leadership in architecture discussions and complex tradeoffs.
  • Set platform technical direction with senior engineers and architecture stakeholders.
  • Guide the design and implementation of foundational, distributed AWS systems spanning multiple accounts.
  • Oversee developer-facing APIs, SDKs, command-line tools, developer tooling, and managed services.
  • Lead distributed-systems work on secure cross-account communication, tenant isolation, provisioning, and lifecycle automation.
  • Create platform abstractions over underlying cloud infrastructure.
  • Guide architecture for new and evolving platform capabilities, including greenfield projects.
  • Ensure platform capabilities are scalable, secure, maintainable, and reusable across products and teams.
  • Increase platform adoption and improve developer experience through reusable capabilities, productivity improvements, a developer portal, documentation, and productized services.
  • Use stakeholder feedback to inform technical priorities and the product roadmap.
  • Oversee security, isolation, reliability, observability, monitoring, and operational visibility.
  • Establish identity and access management, isolation boundaries, least-privilege access, authenticated service communication, and secure multi-account architectures.
  • Lead on-call operations, incident response, and service-level objectives.
  • Promote automated testing, infrastructure as code, trunk-based development, and incremental, reversible releases.
  • Collaborate with Architecture, Identity, Product, Solutions and Field Engineering, and platform users.
  • Turn strategic objectives into engineering roadmaps and measurable delivery milestones.
  • Keep leadership and cross-functional stakeholders informed about technical direction, progress, dependencies, and risks.
  • Coordinate across engineering teams to resolve dependencies and align architectural decisions.
  • Promote AI-assisted software development and guide AI-enabled platform capabilities involving large language models, agents, and related services.

आवश्यकताएँ

  • At least 8 years of software engineering experience.
  • At least 2 years working at T3 (Staff) through T5 (Principal) engineering level.
  • At least 2 years as a technical lead or engineering manager.
  • Experience shipping, operating, and supporting production software systems.
  • Ability to hire, coach, mentor, and develop engineers at different experience levels.
  • Experience building an engineering culture grounded in accountability, collaboration, technical excellence, and continuous improvement.
  • Ability to provide technical leadership while overseeing delivery, people development, and operational responsibilities.
  • Strong foundation in AWS cloud-native architecture and distributed systems.
  • Ability to engage deeply on system architecture, review technical designs critically, and make informed architectural tradeoffs.
  • Experience in platform engineering, developer tooling, SDKs, infrastructure, or similar teams building foundational capabilities for engineers.
  • Strong understanding of secure multi-account and multi-tenant cloud architectures.
  • Fluency in cloud identity and access management, tenant isolation, and security requirements for distributed cloud systems.
  • Understanding of architectural and operational needs for scalable, secure, reliable shared platforms.
  • Familiarity with modern AI development toolkits and AI-assisted engineering workflows, including coding assistants and agentic development tools.
  • Understanding of how to incorporate AI capabilities, including large language models, agents, and related services, into modular platform components.
  • Ability to help engineers adopt AI-assisted development practices while maintaining engineering quality.
  • Strong communication, collaboration, and stakeholder-management skills across Engineering, Product, Architecture, and Go-to-Market teams.
  • Ability to explain complex technical decisions, architectural tradeoffs, delivery progress, and risks to technical and non-technical audiences.
  • 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, command-line tools, 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.

लाभ

  • Competitive salary.
  • Unlimited paid time off.
  • Flexible working hours.
  • Remote work model, depending on the position.
  • Competitive medical, dental, and vision insurance plans.
  • 6% 401(k) matching.
  • Unlimited access to more than 13,000 courses through a career development learning platform.
  • Employee Assistance Program.
  • Opportunity for compensation growth based on performance over time.
  • May be eligible for market-competitive variable pay and benefits.

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