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9 дней назад

Lead Platform Engineer

132 000 - 175 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Lead Platform Engineer (AWS/Distributed Systems): Building foundational capabilities for an Operational Decisioning Platform, including developer-facing APIs, SDKs, CLIs, module frameworks, and managed cloud services with an accent on secure distributed systems, multi-tenant isolation, and AI-enabled platform integration. Focus on designing cross-account AWS infrastructure, implementing resilient event-driven services and security controls, and leading architecture, reliability, and technical mentoring.

Location: Dallas, TX, United States; remote work model may apply depending on the position; #LI-HYBRID.

Targeted hiring base pay: $132,000–$175,000 per year, with possible variable pay and benefits.

Company

hirify.global is a global data and technology company providing an Operational Decisioning Platform and decision-grade insights for energy, agriculture, weather-driven industries, logistics, and other operational sectors.

What you will do

  • Lead the technical design, implementation, operation, and evolution of complex platform capabilities in greenfield and existing systems.
  • Build developer-facing APIs, SDKs, CLIs, reusable module frameworks, managed platform services, and abstractions for data products, applications, and AI-powered tools.
  • Design secure distributed systems across isolated AWS accounts and multi-tenant environments, including provisioning, lifecycle automation, service discovery, reconciliation, health monitoring, and event-driven processing.
  • Implement security-critical capabilities including authenticated service-to-service communication, mTLS, cryptographic signing and verification, replay protection, IAM, least-privilege access, and tenant isolation.
  • Establish architecture, interface, data-contract, testing, infrastructure-as-code, observability, and release standards; author and review technical designs and ADRs.
  • Own production reliability through SLOs, metrics, logging, tracing, on-call support, incident investigation, automated testing, CI, and resilient deployment practices; mentor engineers and integrate LLMs, AI agents, managed AI services, and AI-assisted development tools.

Requirements

  • 7+ years of professional software engineering experience building and operating production distributed systems.
  • Experience independently owning complex software components throughout their lifecycle, leading technical initiatives, making architectural decisions, mentoring engineers, and guiding work from design through production.
  • Bachelor’s degree in Computer Science or equivalent professional experience.
  • Deep AWS cloud-native architecture expertise covering IAM, serverless compute, API layers, managed data stores, event-driven services, and cloud security primitives.
  • Strong knowledge of distributed-systems fundamentals including idempotency, at-least-once delivery, eventual consistency, retries, backoff strategies, failure-mode analysis, and resilient service interactions.
  • Experience designing, developing, and operating secure, reliable, scalable distributed applications; hands-on Terraform infrastructure-as-code experience; and disciplined CI, automated testing, build, and deployment practices.
  • Applied security engineering experience with authenticated service-to-service communication, mTLS, cryptographic signing and verification, identity management, replay protection, least-privilege access, and multi-tenant isolation.
  • Proficiency in TypeScript/Node.js or the ability to become productive with these technologies quickly; expert experience developing RESTful APIs with Node.js and consuming REST and GraphQL APIs.
  • Academic or professional exposure to React, Angular, or Vue; Node.js or Python; and SQL/database technologies such as PostgreSQL, DynamoDB, or equivalent. Journeyman-level Git knowledge is required.
  • Hands-on experience with AI-assisted development tools, coding assistants, agentic tooling, AI-augmented platform capabilities, LLM and AI-agent integrations, managed AI services, and modular AI-enabled functionality.
  • Strong technical problem-solving, architectural evaluation, communication, constructive feedback, mentoring, and commitment to secure, reliable, observable, reusable solutions.

Nice to have

  • Experience with multi-tenant SaaS platforms, cross-account control planes, internal developer platforms, SDKs, developer ergonomics, or greenfield platform environments.
  • OpenTelemetry or other observability technologies; schema-driven interface validation; multi-cloud architectures; and module frameworks for authenticated dispatch, signing, validation, metrics, and reconciliation.
  • Experience with TypeScript/Node.js, Python, containers, Terraform, and modern AWS cloud-native services.
  • Experience applying trunk-based development, ADR-driven design, immutable or pinned releases, least-privilege access, and schema-validated interfaces.
  • Background in operational or data-intensive industries such as energy, logistics, weather, or agriculture.

Culture & Benefits

  • Remote work model where applicable, flexible working hours, and unlimited PTO.
  • Medical, dental, and vision insurance; 6% 401(k) matching; and an Employee Assistance Program.
  • Unlimited access to more than 13,000 learning courses supporting career advancement.
  • Culture centered on clarity, trust, action, precision, operational expertise, and outcome-driven problem solving.

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