What Makes This Role Different
You think across systems, not just within a single technology.
You understand connectivity, security, application behavior, and data dependencies.
You build maintainable engineering solutions, not just one-time scripts.
You use AI effectively because you can evaluate, test, and explain its output.
You own solutions from design through deployment and ongoing support.
Key Responsibilities
Cloud & Infrastructure Engineering
Design, build, automate, and support infrastructure across AWS and hybrid environments.
Configure and troubleshoot compute, storage, networking, identity, and application connectivity.
Incorporate availability, resilience, performance, capacity, and cost considerations into designs.
Support infrastructure modernization, migrations, upgrades, and cloud transitions.
Networking & Security
Troubleshoot connectivity across applications, databases, servers, and cloud services.
Apply networking fundamentals, including TCP/IP, DNS, routing, subnets, firewalls, load balancing, and private connectivity.
Build solutions using least-privilege access, secure authentication, encryption, and appropriate secrets management.
Integrate logging, auditability, vulnerability remediation, and enterprise security controls into engineering workflows.
Software Engineering & Automation
Develop reusable automation, integrations, and operational tooling using appropriate programming and scripting languages.
Apply software engineering practices, including modular design, source control, code reviews, testing, error handling, and documentation.
Use Infrastructure as Code and configuration management to deliver repeatable, controlled changes.
Integrate infrastructure workflows with APIs, CI/CD pipelines, and enterprise platforms.
Reduce manual effort and operational complexity through standardization and automation.
Database & Application Integration
Understand relational database concepts, SQL, authentication, permissions, transactions, and application connection patterns.
Support database infrastructure with consideration for storage, connectivity, backup and recovery, availability, and performance.
Collaborate with database specialists and application teams to troubleshoot issues across infrastructure and database boundaries.
Build automation that interacts safely with databases and respects data protection and access requirements.
AI-Assisted Engineering
Use approved AI tools to accelerate coding, automation, troubleshooting, analysis, testing, and documentation.
Provide relevant context and clear instructions to obtain useful AI-generated results.
Review and validate generated code, configurations, and recommendations before use.
Recognize incorrect assumptions, insecure patterns, and incomplete solutions.
Protect sensitive information and follow enterprise requirements for AI use.
Explain how solutions work, what AI contributed, and how correctness was verified.
Operational Ownership & Collaboration
Lead troubleshooting and root-cause analysis for complex production issues.
Improve monitoring, alerting, runbooks, and operational readiness.
Collaborate with infrastructure, networking, security, database, and application engineering teams.
Communicate technical decisions, dependencies, risks, and tradeoffs clearly.
Take ownership of reliability, maintainability, and supportability after deployment.
Required Skills & Experience
6–9 years of relevant infrastructure, cloud, systems, platform, or software engineering experience.
Strong networking fundamentals and hands-on experience diagnosing connectivity issues.
Working knowledge of security principles, including identity, authentication, authorization, encryption, and least privilege.
Hands-on AWS experience, including compute, storage, networking, IAM, and monitoring.
Understanding of relational databases and how applications connect to, authenticate with, and use them.
Strong programming or scripting ability in one or more languages, such as Python, PowerShell, Go, or TypeScript.
Experience with Git, code reviews, testing, APIs, and CI/CD practices.
Experience with Infrastructure as Code and configuration management tools, such as Terraform and Ansible.
Practical experience using AI-assisted engineering tools, with the ability to independently validate results.
Experience supporting Windows and/or Linux environments.
Strong problem-solving, communication, and collaboration skills.
Preferred Qualifications
SQL Server, PostgreSQL, or other enterprise relational database experience.
Windows Server, Active Directory, Kerberos, and enterprise authentication experience.
Familiarity with high availability, disaster recovery, and database migrations.
Experience with observability, backup, and security monitoring tools.
Experience building AI-enabled workflows or API-based integrations.
Familiarity with containers and event-driven architectures.
AWS certifications or equivalent demonstrated hands-on expertise.
Experience working in regulated enterprise environments.
What We Offer
Collaborative, engineering-driven culture.
Competitive compensation and comprehensive benefits.
Opportunities to build reusable solutions with meaningful operational impact.
Continuous learning across cloud, security, automation, databases, and AI.
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:
$116,800 - $175,200
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
