job summary
Join our mission-critical enterprise platforms team supporting high-volume legal and claims processing solutions. As a Senior DevOps Engineer, you will drive modern infrastructure practices, streamline deployment velocity, and spearhead the migration of legacy delivery pipelines to scalable cloud environments. This is a 12-month remote contract opportunity operating within an Agile, engineering-centric culture.
location: Telecommute
job type: Contract
salary: $60.87 - 66.67 per hour
work hours: 8am to 5pm
education: Bachelors
responsibilities
- Operate within an Agile Scrum SDLC environment, contributing to requirements analysis, technical design, implementation, deployment, monitoring, incident response, and continuous improvement.
- Design, build, maintain, and optimize CI/CD pipelines that enable secure, repeatable, and reliable application delivery.
- Develop and maintain infrastructure-as-code, configuration management, and automation frameworks for cloud environments.
- Build and evolve observability capabilities, including application and infrastructure monitoring, logging, alerting, tracing, dashboards, service-level indicators, and service-level objectives.
- Improve the reliability, scalability, performance, security, and cost efficiency of production systems.
- Lead or support application, infrastructure, database, and cloud migration initiatives, including planning, automation, validation, rollback strategies, and post-migration monitoring.
- Develop automation tools and frameworks that reduce manual operational work and improve engineering productivity.
- Partner with application teams to establish deployment standards, operational readiness criteria, monitoring requirements, and incident-response practices.
- Troubleshoot production incidents, identify root causes, document findings, and implement durable corrective and preventive actions.
- Proactively identify risks in technical designs, deployment processes, system performance, observability coverage, or architecture and escalate them appropriately.
- Apply AI tools as part of daily work to analyze systems, troubleshoot issues, design automation, improve documentation, and accelerate delivery workflows.
- Collaborate with engineers and cross-functional stakeholders to establish scalable platform and DevOps practices.
- Mentor engineers in areas such as CI/CD, cloud operations, observability, automation, infrastructure-as-code, and production support.
- Demonstrate a self-directed, bias-for-action mindset when solving operational and engineering problems.
qualifications
5+ years of experience in DevOps, Site Reliability Engineering, platform engineering, cloud engineering, or a related software engineering discipline.
3+ years of experience designing, implementing, and maintaining CI/CD pipelines and automated deployment processes.
3+ years of experience deploying, operating, and troubleshooting applications in cloud environments; Microsoft Azure is strongly preferred.
Experience with infrastructure-as-code and configuration automation tools, such as Terraform, Bicep, ARM templates, Ansible, or similar technologies.
Experience implementing observability solutions, including centralized logging, metrics, alerting, dashboards, distributed tracing, and incident response processes.
Experience building automation frameworks or scripting operational workflows using technologies such as JavaScript, TypeScript, Node.js, Python, PowerShell, Bash, or similar languages.
Experience supporting application, database, infrastructure, or cloud migration efforts.
Experience working with SQL databases and data migration or deployment processes.
Experience supporting high-volume, highly available, multi-tier enterprise systems.
Experience leveraging AI tools to analyze, design, debug, automate, document, and improve daily engineering workflows.
Familiarity with security best practices for cloud infrastructure, application delivery, identity, secrets management, and vulnerability remediation.
Strong oral and written communication skills.
Outstanding troubleshooting, incident-management, and technical support skills.
skills
Ansible
modern architectures
AI
code automation
automated testing
Azure Kubernetes Service
ARM templates
APM
Bash
Bicep
cloud infrastructure
Cloud Engineering
cloud migration
cloud environments
configuration management
logging
data migration
database
managing CI/CD pipelines
DevOps
distributed systems
Docker
distributed tracing
Infrastructure-as-Code (IaC)
JavaScript
Kubernetes
Microsoft Azure
Node.js
developer tools
Python
Relational database
SRE
SQL
scripting skills
software engineering
Terraform
TypeScript
PowerShell
Troubleshoot
reliability
proactively
architecture
automation
automated
class action
metrics dashboards
distributed engineering
infrastructure
claims
financial
Platform Engineering
drive system
QA
security
scalability
deployment processes
telemetry
workflows