Senior Staff Infrastructure Engineer

The Hartford

. Design, build, and operate secure, highly available Oracle database platforms across Exadata and Oracle RDS .

Posted 9/29/2026full-timeUnited StatesSenior💰 $137,200 - $205,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in Oracle Database and Exadata administration, including performance tuning, backup and recovery, and capacity management. Proficient in infrastructure automation using Terraform, Ansible, and AWS CloudFormation, with a strong focus on security, availability, and operational maturity.

Highest-signal resume keywords

Oracle Database ExpertiseInfrastructure AutomationAWS Cloud EngineeringPerformance TuningCross-Functional Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Oracle RACData GuardPL/SQLTerraformAnsibleAWS CloudFormationPythonDockerKubernetesContinuous Integration

Soft Skills

Strong CommunicationMentoring SkillsTroubleshootingCollaboration

Tools & Technologies

ExadataRMANFoglightDynatraceSplunkVisual Studio CodeRubrikLiquibase

Certifications & Qualifications

AWS Certifications

Industry Keywords

Infrastructure EngineeringCloud EngineeringEnterprise TechnologyAgile EnvironmentsInfrastructure as Code

Tech Stack

Tools & technologies

AnsibleAssemblyAWSCloudDockerKubernetesOraclePythonShell ScriptingSplunkSQLTerraform

About the role

Key responsibilities & impact

Design, build, and operate secure, highly available Oracle database platforms across Exadata and Oracle RDS
Engineer resiliency using Oracle RAC, Data Guard, SharePlex, backup and recovery capabilities, and Exadata platform features
Lead capacity planning, performance and cost optimization, migrations, upgrades, consolidations, and cloud transitions
Ensure platforms meet enterprise expectations for security, availability, recoverability, performance, and service levels
Design reusable infrastructure automation using Terraform, OpenTofu, Ansible, AWS CloudFormation, Python, and APIs
Apply software engineering practices to infrastructure, including modular design, version control, testing, validation, peer review, and continuous integration and delivery
Establish practical standards, guardrails, playbooks, and documentation that allow teams to provision and change infrastructure consistently and safely
Reduce operational complexity and manual work through automation and standardization
Lead troubleshooting and root-cause analysis for complex production issues while improving observability, alerting, reliability, and operational maturity
Partner across application, cloud, security, architecture, and infrastructure teams to deliver enterprise-critical outcomes
Lead cross-functional technical workstreams, influence engineering direction, and translate complex challenges into sustainable solutions
Mentor engineers and strengthen infrastructure-as-code, automation, cloud, and software engineering capabilities across the team
Use AI-assisted tools to accelerate coding, automation, analysis, troubleshooting, testing, refactoring, and documentation
Critically evaluate AI-generated output and validate it through domain expertise, system knowledge, and production feedback
Apply AI within enterprise security, privacy, governance, compliance, logging, and audit requirements
Apply practical knowledge of generative AI, prompt engineering, retrieval-augmented generation, agentic workflows, model evaluation, and AI observability to infrastructure engineering challenges
Explore practical use cases such as log and metric analysis, incident investigation, configuration review, and root-cause analysis
Maintain accountability for technical decisions and clearly explain how AI contributed to an engineering outcome

Requirements

What you’ll need

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
8+ years of infrastructure engineering, database platform engineering, cloud engineering, or related enterprise technology experience
Deep expertise with Oracle Database and Exadata, including Oracle RAC, Data Guard, RMAN, ASM, PL/SQL, performance tuning, backup and recovery, resiliency, and capacity management
Hands-on experience designing or operating infrastructure in AWS
Strong infrastructure-as-code and automation experience using Terraform, OpenTofu, Ansible, AWS CloudFormation, Python, shell scripting, APIs, and REST-based integrations
Experience with Git-based development, testing, reusable modules, and continuous integration and delivery practices
Demonstrated ability to establish engineering standards and guardrails, troubleshoot complex enterprise environments, and lead technical initiatives across teams
Strong communication and mentoring skills, with the ability to explain technical decisions to technical and nontechnical stakeholders
Experience using modern development environments such as Visual Studio Code
Advanced Oracle Exadata administration, patching, capacity management, and performance diagnostics
Experience with monitoring, observability, and data-protection platforms such as Rubrik, Foglight, Dynatrace, and Splunk
Experience with database change automation and continuous integration and delivery tooling, including Liquibase
Experience with Docker, Kubernetes, API-based automation, or other cloud-native technologies
AWS certifications or comparable demonstrated cloud expertise
Experience in Agile environments and helping teams transition from manual administration to automation and infrastructure as code

Benefits

Comp & perks

Short-term or annual bonuses
Long-term incentives
On-the-spot recognition
Perks & Benefits