Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$132к-175к/год
$160к$190кмедиана$210к
По похожим ролям (50) ~ $190к/год
70
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Вакансия дает серьезную ответственность за платформу, современный облачный стек и перспективу роста до Staff или Principal, но зарплата ниже ориентира для похожих ролей, а зона ответственности масштабная.
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Ниже рынкаШирокая зона задачСовременный стекПерспектива ростаГибкие условия
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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