Sr. Engineer - Infrastructure

IND Senior Engineer, Infrastructure - GCC034

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.

About The Company

Our client is a leader in property and casualty insurance, employee benefits and mutual funds. One of the largest insurers in the United States with many decades of expertise, this company is widely recognized for its service excellence, sustainability practices, trust, and integrity.

Position Overview

We are seeking a Staff Infrastructure Engineer with deep expertise in designing, implementing, and managing cloud-native database solutions running on Amazon Web Services (AWS) and Google Cloud. The solutions include relational and No-SQL products.

In this role, you will:

• •Design and implement cloud-based database architectures that meet application requirements and organizational goals.
• •Collaborate with application teams to architect scalable, secure, and high-performing cloud database solutions that align with enterprise standards.
• •Partner with the Cloud Engineering and Site Reliability Engineers to integrate database CI/CD pipelines into their application deployments. Including Jenkins and Ansible.
• •Have in-depth knowledge of designing and building automation for database provisioning and repetitive tasks using infrastructure as code tools, including AWS’s CloudFormation and Terraform.
• •Develop and maintain disaster recovery and high availability strategies. Provide DR testing support.
• •Ensure compliance with data governance, security, regulatory and privacy standards. Capability with preparing evidence to support internal and external auditors.
• •Proficient at preparing deployment and operational procedure manuals.

Provide second-level support for troubleshooting production incidents.

Key Responsibilities

• •Design and implement native cloud database solutions using Terraform and AWS’s CloudFormation.
• •Automate the monitoring and alerting of database performance and availability.
• •Provide support for the operational support team on routine database maintenance, including backups, patching, performance tuning, and capacity planning.
• •Master the latest DB features and apply them to provide a measurable value to application teams.
• •Perform analysis and end-to-end execution from roadmap to implementation of database consolidations, migrations, and conversions.
• •Work to reduce complexity and cost in database environments through analysis, simplification, and automation using Ansible, Python, Terraform or other tools.
• •Evaluate new product releases and make recommendations on implementation of newest versions.
• •Assist application and DBA teams with databases migration from an on-prem system to the Cloud.
• •Maintain documentation of standard operating policies and procedures.

Required Skills & Experience

• •3 - 5 years of professional experience managing relational and NoSQL databases in a cloud environment (AWS and GCP).
• •Experience with Infrastructure as Code tools such as Terraform and CloudFormation
• •Proficiency with GitHub (version control, pull requests, and code reviews).
• •Familiarity with Jenkins pipelines, Ansible automation, and ServiceNow.
• •Solid understanding of networking concepts, VPCs, subnets, and security groups as they relate to database deployments.
• •Strong organizational and communication skills with the ability to manage multiple priorities.
• •The ability to learn fast on the job by partnering with senior resources.
• •A passion for engineering excellence and continuous improvement.
• •Effective communication and collaboration skills across cross-functional teams; strong critical thinking and problem-solving skills.
• •Use AI tools as a productivity accelerator to speed up development, automation, analysis, refactoring, troubleshooting, and documentation—while retaining full ownership of technical decisions and outcomes.
• •Critically evaluate and validate AI-generated output using domain expertise, system knowledge, and production feedback; recognize when suggestions are incorrect, incomplete, or unsafe and adjust accordingly.
• •Apply AI responsibly within enterprise security, governance, and compliance boundaries, including data privacy, access controls, logging, auditability, and regulatory requirements.
• •Leverage AI to improve operational effectiveness (e.g., analyzing logs, metrics, incidents, and configuration drift) to accelerate root cause analysis, remediation, and prevention.
• •Clearly explain what AI contributed, what was changed, and why—demonstrating understanding rather than reliance; AI is a tool to amplify expertise, not replace it.
• •Experience operationalizing AI-enabled services and models using MLOps-aligned practices, including versioning, CI/CD integration, monitoring, and lifecycle management.
• •Familiarity with common model deployment patterns (batch processing, real-time APIs, and event-driven architectures) on cloud platforms.
• •Experience integrating AI capabilities into enterprise systems using REST APIs, messaging systems, or event-based architectures, with a focus on reliability and operability.
• •Bachelor’s degree in computer science or a related discipline.

Preferred Qualifications

• •Hands-on with designing and building infrastructure deployments using Terraform and CloudFormation
• •Strong documentation skills in creating and maintaining operational policies and procedures.
• •A desire for continuous learning

What We Offer

· Collaborative and innovative work environment.

· Competitive compensation and comprehensive benefits.

· Continuous learning and professional development opportunities.

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