I'd like to search for Azure Cloud Engineer roles in the United States, with a focus on companies that offer 401(k) benefits, requiring 3+ years of experience, supporting flexible schedules, and involving cloud automation skills.

Okay, I've searched for Azure Cloud Engineer roles in the United States that offer 401(k) benefits, require 3+ years of experience, support flexible schedules, and involve cloud automation skills. I found 132 positions for you to explore.

Azure Cloud Engineer

United States

3 years + Experience

Large

cloud automation

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The Azure Cloud Engineer role at Mastery is fundamentally about harnessing cloud technology to solve complex supply chain challenges faced by the transportation industry. This position is critical for building and expanding the company's cloud infrastructure, ensuring that their innovative MasterMind TMS is robust, efficient, and adaptable to the evolving needs of large logistics companies. The main responsibilities include supporting software engineering teams in adopting cloud technologies, solving multi-layered technical problems, and collaborating with compliance and security teams to maintain best practices. This necessitates not just a technical skill set, but also an ability to communicate effectively with diverse teams, guiding them through the complexities of cloud implementation. Candidates will need to navigate the intricacies of various technology stacks while aiming for optimal performance and cost-efficiency, indicating a demand for both technical knowledge and strategic thinking. Success will likely manifest in seamless cloud architecture that empowers software engineers, enhances system performance, and delivers value to Mastery’s clients within their intricate supply chain operations.

Company Analysis:

Mastery Logistics Systems is positioned as a forward-thinking player in the logistics industry, staunchly focusing on transforming how large transportation entities manage their operations through innovative software solutions. This company occupies a transformative space, aiming to unify disconnected systems that have long plagued logistics. Given its emphasis on automation and efficiency, candidates in the Azure Cloud Engineer role must align with a culture that values agility, collaboration, and ongoing improvement. The company’s mission hints at a rapidly changing landscape which could foster an environment that is dynamic and heavily results-oriented, thus appealing to an individual who thrives under pressure and embraces change. The role likely sits within a collaborative team structure, offering significant visibility to leadership, and contributing directly to the strategic initiatives aimed at improving operational efficiency. By focusing on cloud technologies aimed at resolving deep-seated inefficiencies in the supply chain, this position serves as a linchpin in Mastery’s overarching goal of bringing unprecedented control and flexibility to its clients.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Tell me about a time when you had to guide a team on adopting a new technology. What challenges did you face, and how did you overcome them?
Describe an experience where you solved a complex technical issue involving multiple technology stacks. What was your approach?
Can you share an instance where you had to collaborate with a security team to address a compliance issue? What was the outcome?
How do you prioritize tasks when working on a project with tight deadlines and multiple stakeholders?
How would you approach designing a highly resilient and available cloud architecture for a specific application within the TMS?
What strategies do you find effective when documenting cloud infrastructure and training other engineering stakeholders?
How would you implement cost-saving measures in a cloud environment while also maintaining performance?
Imagine you are faced with a situation where an existing cloud system is failing under load. How would you diagnose and resolve the issue?
Suppose you are tasked with implementing infrastructure as code for a new project. What tools and processes would you consider using?
Why are you interested in joining Mastery, and how do you believe your skills align with our mission?
What aspects of our company culture resonate most with you, and how do they influence your approach to work?
What innovative ideas do you have that could enhance the MasterMind TMS in terms of cloud functionality or user experience?
In your opinion, what are the biggest challenges currently facing the logistics industry, and how do you think Mastery can address them?
What questions do you have about how the Azure Cloud Engineer role fits into Mastery’s strategic goals?
How do you plan to keep your technical skills up to date in this rapidly evolving field of cloud computing?

Job Details

Overview Company

Azure Cloud Engineer

$100k/y-$130k/y

Mastery Logistics Systems

2 months ago

Highlight

RemoteFull-timeEntry

Summary

Mastery Logistics Systems is seeking an Azure Cloud Engineer to join their team remotely. The role involves building and expanding Mastery’s cloud footprint and developing disaster recovery solutions.

About the Role

As an Azure Cloud Engineer, you will provide guidance and support to software engineering teams on cloud technology adoption, solve complex technical issues, and collaborate with compliance and security teams. You will design highly resilient cloud architectures and regularly review systems for performance improvements and cost savings.

About You

Required:

Some experience with cloud automation and scripting (e.g., CloudFormation, Terraform, Ansible).
Some experience with cloud-based concepts for building highly available and fault-tolerant architectures.
Some experience with continuous integration, delivery, desired state processes tools and constraints.
A basic understanding of Cloud Security, specifically IAM Roles & RBAC Policies.
Some experience with development on AWS, Azure, or GCP.
Experience in at least one programming language (Python preferred).

Preferred:

Preferred AWS, Azure, GCP cloud computing certifications or equivalent coursework.
Some experience with SQL and RDBMS, NoSQL technologies a plus.
Some experience in containerization and management tools such as Kubernetes or Docker Swarm.

Benefits

Medical, Dental and Vision insurance.
Company paid Life insurance for 1x salary.
Legal, AD&D, Additional Life and other employee assistance benefits.
401k savings plan with a 4% match.
Opportunities for professional growth and development.
Manage your life and schedule Paid Time Off program.

Mastery Logistics Systems

Mastery is on a Mission to empower select shippers, carriers and logistics companies to thrive in complexity. Mastery brings to market MasterMind™, a cloud-based SaaS technology solution for large complex organizations, built to fuel automation, visibility, and productivity within their supply chains.

Mastery was conceived by Jeff Silver, whose proprietary technology systems have powered some of the largest logistics companies in North America for over four decades and have been brought to life by a team of logistics and software professionals – true Maestri at work.

MasterMind is built for size, stability, speed, efficiency, and automation within and across functional areas. Built by logistics experts, MasterMind provides unprecedented visibility and control by embracing the complexity that is the reality of the supply chain world.

For more than 40 years, the industry has grown with patchwork tools built for specific jobs. And complexity continues to soar.

Supply Chains have generally been disconnected, and disconnected systems force manual intervention to deliver desired results. With multiple tools and multiple work streams, labor and IT costs compound with no guarantee of a single view into a given Supply Chain. Waste and inefficiency abound. When multiple systems are used to manage operational activity across business units, workstreams and networks, it creates complexities that can be challenging to manage and costly to manage.

Companies often sub-optimize one or more of those functions by attempting to fit it into a transportation management system that is adequate at another function, creating friction between systems or added work. Mastery solves this problem by bringing all operating functions into a single cloud-based TMS, providing flexibility, visibility, control, and efficiency.

We can all work faster, smarter, and more efficiently with Mastery.

United States