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Azure Security Remote Jobs in Connecticut (NOW HIRING)

Principal AI Engineer

Hartford, CT · On-site +1

$168K - $252K/yr

... scalability, security and self-service features. The ideal candidate is an accomplished ... This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office ...

... scalability, security and self-service features. The ideal candidate is an accomplished ... This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office ...

Senior Software Engineer, Cloud

Guilford, CT · On-site +1

$143K - $165K/yr

The goal of this role is to design and develop key software systems for remote setup, management ... Building modern cloud services on AWS, GCP, or Azure. * Backend web development, including best ...

Senior Software Engineer, Cloud

Guilford, CT · On-site +1

$143K - $165K/yr

The goal of this role is to design and develop key software systems for remote setup, management ... Building modern cloud services on AWS, GCP, or Azure. * Backend web development, including best ...

Remote work permitted but must live within commuting distance of designated office location and ... Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP); Writing application code and ...

Showing results 21-29

Azure Security Remote information

What does an Azure Security Remote professional do?

An Azure Security Remote professional is responsible for managing and safeguarding cloud-based resources on Microsoft Azure, all while working remotely. Their duties typically include configuring security controls, monitoring for threats, ensuring compliance with security standards, and responding to security incidents. They leverage Azure-specific tools and best practices to protect data, applications, and infrastructure from cyber threats. This role requires strong knowledge of cloud security, identity management, and remote collaboration tools.

What are the key skills and qualifications needed to thrive as an Azure Security Remote professional?

To thrive as an Azure Security Remote Specialist, you need expertise in cloud security principles, Azure platform services, and risk management, typically backed by a degree in computer science or a related field and relevant certifications such as Microsoft Certified: Azure Security Engineer Associate. Familiarity with tools like Azure Security Center, Azure Sentinel, and compliance management systems is crucial. Strong analytical thinking, attention to detail, and effective communication are valuable soft skills that set candidates apart. These skills and qualifications ensure the ability to protect cloud environments, mitigate security threats, and maintain compliance in remote work settings.

What are some common challenges faced by professionals in remote Azure Security roles, and how can they be addressed?

Remote Azure Security professionals often face challenges such as staying up-to-date with rapidly evolving cloud security threats and ensuring consistent communication with distributed teams. To address these, it's important to commit to ongoing training and certifications, leverage secure collaboration tools, and establish regular check-ins with team members. Additionally, documenting security protocols and automating monitoring and incident response can help streamline workflows and maintain high security standards, even when working remotely.

What is the difference between Azure Security Remote vs Cloud Security Engineer?

AspectAzure Security RemoteCloud Security Engineer
CertificationsAzure Security certifications, CompTIA Security+Certified Cloud Security Professional (CCSP), CISSP
Work EnvironmentRemote, cloud-focused, Azure platformRemote or on-site, multi-cloud or cloud-specific environments
Industry UsagePrimarily in organizations using Azure cloud servicesIn various organizations using multiple cloud providers or cloud security roles

Azure Security Remote focuses on securing Azure cloud environments remotely, often requiring Azure-specific certifications. Cloud Security Engineers have broader responsibilities across multiple cloud platforms, with certifications like CCSP or CISSP. Both roles work in cloud security but differ in scope and platform specialization.

What cities in Connecticut are hiring for Azure Security Remote jobs?

Cities in Connecticut with the most Azure Security Remote job openings:

Full-time

Re-posted 8 days ago


The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 122 frontline employees who took The Breakroom Quiz

57th of 315 rated insurance


Job description

Principal Software Engineer - IE06GE
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.
At the Hartford, we are seeking a Principal AI Engineer who is responsible for building our AI platform to accelerate designing, developing, and deploying AI use cases, and drive innovation at scale, with particular emphasis on GenAI capabilities and acceleration of use cases.
We are driven by a strong determination to create a meaningful impact and take pride in being an insurance company that extends far beyond the realms of policies and coverages. When you choose to be a part of our team, you open the door to endless opportunities for personal and professional growth, as well as the chance to empower others in reaching their aspirations. You will help bring the transformative power of AI/GenAI capabilities to re-imagine the 'art of possible' and serve our internal customers and transform the businesses.
This team is dedicated to building state-of-the-art AI platform. We are looking for an experienced Principal AI Engineer, to help us build the foundation of our AI capability. You will be a thought partner to the platform leadership. You will provide vision and impeccably execute the build of platform capabilities that accelerates the build of complex digital assistants, enables rapid experimentation, supports scaling and productionization of the solutions with built in scalability, security and self-service features. The ideal candidate is an accomplished professional with significant hands-on experience in data, analytics, MLOps/LLMOps engineering who is equipped to manage and drive broader stakeholder engagements.
This role requires versatility and expertise across a wide range of skills. Someone who is biased for action, visionary and an engineer at heart will fit into this role seamlessly.
This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday) Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise. Candidate must be authorized to work in the US without company sponsorship.
Responsibilities:
  • Key thought leader, collaborator, and contributor to the build of the AI platform that supports and accelerated GenAI and traditional predictive and ML solutions.
  • Define and execute the vision and roadmap for AI platform that align with the organization's strategic goals and customer needs.
  • Drive the future state of the AI platform by staying updated with the latest trends and developments
  • Lead the build and execution of POCs and prototypes that serve to qualify and validate emerging AI platform solutions that can be leveraged as solution quick start and eventually become capabilities within the AI platform for enterprise consumption.
  • Provide hands_on engineering support to the build of platform capabilities e.g., agentic frameworks, IAC, production grade capabilities, monitoring systems, developer experience, FinOps capabilities etc
  • Partner with our shared service teams like Architecture, Cloud, Security, etc to design and implement platform solutions.
  • Collaborate with the DS team to develop a self-service internal developer AI platform.
  • Provide leadership and mentorship to engineers on the team, fostering a culture of innovation, collaboration, and continuous upskilling and learning.

Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, or a technical field.
  • 10+ years of experience with cloud (AWS / GCP)
  • Demonstrate a willingness to challenge the status quo and a bias for action
  • Extensive programming experience with Python, Typescript.
  • At least 8 years of experience designing and building data-intensive solutions using distributed computing.
  • 10+ years building and shipping software and/or platform infrastructure solutions for enterprises.
  • Hands-on experience with cloud platforms and services, such as Google Cloud, AWS, Azure and their offerings for AI / generative AI
  • Experience with CI/CD pipelines, Automated Testing, Automated Deployments, Agile methodologies, Unit Testing and Integration Testing tools.
  • Experience with building scalable serverless application (real-time / batch)
  • Knowledge of distributed NoSQL database systems.
  • Experience with data engineering, ETL technology, and conversation UX is a plus.
  • Experience with HPCs, vector embedding, and Hybrid/Semantic search technologies.
  • Proficiency in customization techniques across various stages of the RAG pipeline, including model fine-tuning, retrieval re-ranking, Hybrid search and multimodal RAG plus.
  • Strong proficiency in embeddings, ANN/KNN, vector stores, quantization, database optimization, & performance tuning.
  • Experience in building Agentic system using frameworks like LangGraph and crewai is a plus.
  • Basic understanding of Natural Language Processing, vector space models and Deep Learning.
  • Excellent problem-solving skills and the ability to work in a collaborative team environment.
  • Excellent communication skills.

Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$168,400 - $252,600
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us | Our Culture | What It's Like to Work Here | Perks & Benefits

What The Hartford employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Hartford logo

About Hartford

Sourced by ZipRecruiter

Hartford Financial Services Group, widely recognized as The Hartford, is a renowned company based in Hartford, CT, US. Established in 1810, it has evolved into an industry leader in the insurance and financial services sector, proudly serving more than one million businesses in the US. The Hartford is committed to offering a gamut of insurance products that include homeowners, automobile, and business insurance as well as employee benefits and mutual funds. The company’s core values revolve around customer-focused innovations, diversity and inclusion, and ethical dealings that have earned them a customer-centric reputation. This shapes their mission which revolves around aiding their clients to overcome unforeseen obstacles and enhancing their wealth over time. Among the company's noted accomplishments is being consistently listed among the World's Most Ethical Companies, a testament to their unwavering commitment towards responsible business practices.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Hartford, CT, US

Year founded

1810

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