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SeniorУдалённоПолная занятость

Senior Cloud Engineer – AWS

Оценка ИИ

Привлекательная вакансия в стабильной международной компании с акцентом на передовые технологии (AI/Bedrock) и возможностью удаленной работы.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Высокая сложность обусловлена требованием 8-10 лет опыта, глубоких знаний AWS и специфического опыта работы с AI-сервисами (Bedrock, AgentCore).

Анализ зарплаты

Медиана55 000 $
Рынок40 000 $ – 75 000 $
Оценка ИИ

Зарплата для Senior Cloud Engineer в Индии (Мумбаи) при работе на глобальный рынок обычно выше локального медианного уровня из-за требований к перекрытию рабочих часов с США.

Сопроводительное письмо

I am writing to express my strong interest in the Senior Cloud Engineer – AWS position at Jensen Hughes. With over 8 years of experience in cloud engineering and a deep focus on AWS infrastructure, I am confident in my ability to design and operate the reliable platforms your mission-critical engineering workloads require. My background includes extensive production experience with Terraform and CloudFormation, as well as a robust understanding of AWS networking and IAM principles.

I am particularly excited about the opportunity to enable agentic AI capabilities using Amazon Bedrock and AgentCore. Having followed the evolution of managed AI services, I am eager to apply my expertise in building secure, scalable foundations for AI-enabled workloads. My experience in global, distributed teams aligns well with your Mumbai-based operations and the need for regular overlap with US business hours. I look forward to the possibility of contributing to Jensen Hughes' legacy of safety and innovation.

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Присоединяйтесь к Jensen Hughes, чтобы внедрять инновации в области AI и облачных технологий на глобальном уровне!

Описание вакансии

Company Overview

Throughout our worldwide network of experts, clients and communities, we are renowned for our leadership in fire protection engineering – a legacy of responsibility we have proudly upheld since 1939. Today, our expertise extends broadly across closely related security and risk-based fields – from accessibility consulting and risk analysis to process safety, forensic investigations, security risk consulting, emergency management, digital innovation and more.

Our engineers and consultants collaborate to solve complex safety and security challenges, ensuring our clients can protect what matters most. For over 80 years, we have helped mitigate risks that threaten lives, property and reputations. Through technology, expertise and industry-leading research, we remain dedicated to our purpose of making our world safe, secure and resilient.At Jensen Hughes, we believe that creating and sustaining a culture of trust, integrity and professional growth starts with putting our people first. Our employees are our greatest strength, and we value the unique perspectives and talents they bring to our organization. Our wide range of Global Employee Networks connect people from across the organization, supporting career development and providing forums for individuals to share experiences on topics they're passionate about. Together, we are cultivating a connected culture where everyone has the opportunity to learn, grow and succeed together.

Overview – Role

We are seeking a Senior Cloud Engineer – AWS to design, build, and operate reliable cloud platforms that support mission-critical engineering workloads and emerging AI-enabled solutions. In this  hands-on, hybrid engineer/architect role, you will be an individual contributor responsible for writing infrastructure as code, own production systems, and influence architecture decisions through design reviews and standards. In addition to core cloud engineering, you will help enable agentic AI capabilities by building secure, scalable AWS foundations using Amazon Bedrock and AgentCore.

While our India office is based in Mumbai , this role can be handled  remotely and will be responsible for supporting global operations with regular overlap with US business hours.

This role offers the chance to work in a fast-paced environment and advance your career within a supportive and diverse team and in this role, you will display senior-level ownership, mentorship-by-influence, and strong cross-team collaboration.

Key Responsibilities

  • Build and operate AWS infrastructure using Terraform and/or CloudFormation, with reusable modules and clear environment separation.
  • Design and manage AWS networking components (VPCs, subnets, routing, security groups, private connectivity and egress patterns).
  • Implement and maintain IAM policies and roles following least privilege and zero-trust principles.
  • Own production operations: monitoring, alerting, troubleshooting, incident response, and post-incident RCA.
  • Partner with application teams to deploy & operate both traditional services and AI-enabled workloads securely and reliably while designing and reviewing cloud architectures for scalability, security, cost efficiency & operational readiness.
  • Enable agentic AI platforms by building and operating AWS foundations for: Amazon Bedrock model access, governance, and controls ,AgentCore runtimes, orchestration, and integration patterns
  • Define secure patterns for AI agents, including identity, permissions, networking, logging, monitoring, and cost controls.
  • Apply AWS Well-Architected Framework principles to application and AI-enabled workloads.
  • Establish and evolve cloud standards and reference architecture across infrastructure, security, and observability.

Requirements and Qualifications

  • 8–10 years of overall experience, with strong hands-on experience in AWS cloud engineering.
  • Proven expertise with Terraform and/or CloudFormation in real production environments.
  • Deep understanding of AWS networking and IAM, including architecture and troubleshooting.
  • Strong production operations mindset, including incident response and RCA.
  • Experience enabling or supporting AI-enabled services on managed cloud platforms.
  • Ability to collaborate effectively with distributed, global teams.
  • Experience with Amazon Bedrock and/or AgentCore for enabling agent-based or AI-powered applications.
  • Experience with container platforms (EKS and/or ECS).
  • Familiarity with observability tooling (CloudWatch, Datadog, Grafana, OpenSearch).
  • Exposure to security, compliance, or regulated environments.
  • AWS certifications (Solutions Architect, DevOps Engineer).
  • Experience supporting internal platforms used by multiple engineering teams.

Why you should join Jensen Hughes

  • Opportunity to grow within a supportive and collaborative team environment
  • Access to training and development programs to enhance your payroll expertise
  • Career advancement with an established framework is in place – clearly defining expectations and outlining opportunities for advancement

#LI-SR1

*Jensen Hughes is an Equal Opportunity Employer. Qualified candidates will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.*

At Jensen Hughes, we embrace innovation and understand that people are increasingly using artificial intelligence (AI) tools like ChatGPT and other generative platforms to learn, prepare and communicate.  We have provided some guidelines regarding the responsible use of AI in the recruitment process.  Please click here to review.

The security of your personal data is important to us. Jensen Hughes has implemented reasonable physical, technical, and administrative security standards to protect personal data from loss, misuse, alteration, or destruction. We protect your personal data against unauthorized access, use, or disclosure, using security technologies and procedures, such as encryption and limited access. Only authorized individuals may access your personal data for the purpose for which it was collected, and these individuals receive training about the importance of protecting personal data.  Jensen Hughes is committed to compliance with all relevant data privacy laws in all areas where we do business, including, but not limited to, the GDPR and the CCPA.  Additionally, our service providers are contractually bound to maintain the confidentiality of personal data and may not use the information for any unauthorized purpose.

\*Policy on use of 3rd party recruiting agency for direct placements

Jensen Hughes will occasionally augment a recruiting search through agencies for certain positions when business conditions warrant. Jensen Hughes will not accept resumes, inquiries or proposals from recruiting agencies as an acceptable method to consider a candidate. 3rd party recruiting agencies must sign a standard Jensen Hughes agreement after being evaluated and accepted by a Human Resources or Talent Acquisition manager, or member of the talent acquisition team. Hiring managers and employees of Jensen Hughes are not authorized to accept resumes, engage in fee-based searches through recruiting firms or sign a search agreement. Please note this policy does not apply to “staffing firms” or firms that are involved with hiring temporary staff. Any recruiting agency interested in being considered may contact our recruiting team at jensenhughesrecruiting.com.

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Навыки

  • AWS
  • Terraform
  • CloudFormation
  • Amazon Bedrock
  • IAM
  • VPC
  • Kubernetes
  • Amazon EKS
  • Amazon ECS
  • Datadog
  • Grafana
  • CloudWatch
  • OpenSearch

Возможные вопросы на собеседовании

Проверка практического опыта работы с инфраструктурой как кодом в сложных средах.

Расскажите о самом сложном модуле Terraform, который вы разработали для обеспечения разделения сред. С какими трудностями вы столкнулись?

Вакансия предполагает работу с AI-агентами. Важно понять понимание безопасности в этой области.

Какие специфические меры безопасности и ограничения IAM вы бы внедрили при настройке доступа к моделям в Amazon Bedrock?

Роль включает владение продакшн-системами.

Опишите ваш процесс проведения Post-Incident RCA (анализа первопричин) после критического сбоя в облачной инфраструктуре.

Проверка знаний сетевой архитектуры AWS.

Как бы вы спроектировали отказоустойчивую схему исходящего трафика (egress) для ресурсов в приватных подсетях в нескольких регионах?

Работа в глобальной команде требует навыков наставничества.

Как вы подходите к внедрению новых стандартов облачной архитектуры в командах, которые привыкли работать по-старому?

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