Sr Staff Database Engineer
At a glance
Senior Data Architecture & Governance role at The Hartford. Hartford · full-time · $137,200–$205,800 base.
dataroles summary, based on the employer's posting.
What you'll do
- Set technical direction for complex infrastructure spanning platforms, services and teams, while remaining an individual contributor
- Lead cross-team engineering work across infrastructure, security and architecture to deliver critical outcomes
- Design shared platforms, automation, monitoring and resilience patterns for cloud and on-premises environments
- Modernize configurations, runbooks and deployment workflows to strengthen reliability, security, performance and cost efficiency
- Choose approaches for AI-enabled infrastructure and create reusable practices that help teams deliver consistently
What you bring
- Eight to ten years of relevant software engineering experience
- Expertise in a modern programming language such as Java, C#/.NET or Python
- Strong full-stack skills covering front-end frameworks, APIs and back-end services
- Experience with automated testing, CI/CD, AIOps, cloud platforms, containers and distributed systems
- Hands-on background with agentic AI architectures, LLM prompting and AI-assisted development tools
Who this fits
This senior individual-contributor role suits someone who can guide complex technical work across teams without direct reports. It requires office attendance three days each week, Tuesday through Thursday, in Columbus, Chicago, Hartford or Charlotte. You must be authorized to work in the United States without company sponsorship; the employer will not endorse a STEM OPT I-983 Training Plan.
From the employer
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.
Job Summary
The Sr Staff Infrastructure Engineer is responsible for design ing, building, securing, and modernizing the technology environments that support reliable, scalable, and efficient enterprise operations. They apply expertise across cloud, hybrid, and on -prem
infrastructure, automation, infrastructure as code, resiliency, observability, and operational excelle nce to improve platform performance, reduce risk, and enable faster, more consistent delivery. They partner across engineerin g, security,
architecture, operations, and business teams to ensure infrastructure services are stable, cost -aware, compliant, and aligned to evolving business and technology needs.
Span and Responsibility
•Owns the technical direction, design integrity,
and operational outcomes for highly complex
infrastructure capabilities that span multiple
platforms, services, teams, or technology
domains, while operating as a senior individual
contributor with no direct reports.
•Leads cross -functional virtual squads or
technical workstreams across Infrastructure,
Security, and Architecture, to deliver
enterprise -critical outcomes.
•Serves as a recognized subject matter expert
across one or more infrastructure domains,
shaping platform direction, engineering
standards, reusable patterns, and operating
practices beyond a single team.
•Defines, designs, and advances scalable
infrastructure platforms, shared services,
automation frameworks, observability,
resiliency patterns, integrations, and
operational controls across hybrid
on-premises and cloud environments.
•Owns design choices for AI -enabled , AIOps, or
agentic infrastructure capabilities when
requirements are broad, standards are
evolving, or cross -domain trade -offs are
required.
•Modernizes infrastructure services,
automation, configurations, runbooks,
deployment patterns, and operational
workflows to improve scalability, resiliency,
security, performance, cost efficiency, and
long -term supportability.
•Establishes reusable playbooks, automation
patterns, validation practices, and
documentation standards that enable other
engineers and teams to execute consistently
and safely.
Technical Qualifications
•8–10 years of applicable software engineering
experience.
•Expert proficiency in one or more modern
programming languages (Java, C#/.NET,
Python, JavaScript/TypeScript).
•Strong full -stack expertise (front end
frameworks, APIs, back -end services).
•Deep experience with automated testing,
CI/CD, and AIOps practices.
•Strong knowledge of cloud platforms (AWS,
Azure, GCP), containers, and distributed
systems.
•Advanced understanding of secure coding,
vulnerability remediation, and data
protection.
•Proven experience with agentic AI
architectures, LLM prompting, and human -AI
interaction design.
•Hands -on use of AI-assisted development
tools to improve engineering productivity.
•Strong awareness of AI -driven security risks
and responsible AI practices.
This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday). Candidates 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:
$137,200 - $205,800Equal 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
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