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Platform Automation Engineer

Dahl Consulting -
Remote

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Job Details

Temp-to-hire
$50 - $65 an hour

Qualifications

Systems integration
Software engineering
Defect resolution root cause analysis
Responding to infrastructure failures
Continuous Delivery (CD) implementation
Tooling
Software coding
Infrastructure as Code (IaC)
Enterprise software
IT system monitoring
Incident management software
Git
Application deployment
Key Performance Indicators
Programming languages
Cloud service support
Operational risk mitigation
Enterprise Integration
Version control systems
Software documentation
Collaborative technology platforms
Production monitoring
Problem management
Cloud automation
Productivity software
Cloud solution engineering
DevOps automation
AI-driven automation
Cloud monitoring
Developer tools

Full Job Description

Title: Platform Automation Engineer
Location: Remote (Must work MST business hours)
Job Type: Contract-to-Hire
Compensation: $50 - $65 p/h
Industry: Renewable Energy
-
About the Role
We are seeking a Platform Automation Engineer on behalf of our client, a leading organization in the residential renewable energy, solar, battery storage, and home energy services industry. This role will focus on designing and managing automation, observability, and integration capabilities that improve the reliability, scalability, and efficiency of IT infrastructure and services. The Platform Automation Engineer will serve as a bridge between operations and engineering by using code, standardized processes, and automation to reduce manual work, improve service performance, and strengthen operational resilience. This position will also help support the responsible adoption of enterprise AI tools to improve team productivity, documentation, troubleshooting, and automation practices. Candidates must be able to work standard business hours aligned with Mountain Time.

Job Description
The Platform Automation Engineer will design, build, and maintain automation solutions that support infrastructure operations, workflow orchestration, deployment pipelines, observability, and service reliability. This role will partner with technical stakeholders to translate operational needs into scalable technical solutions with measurable outcomes. The ideal candidate will have a strong background in DevOps, site reliability engineering, platform engineering, or infrastructure automation, along with hands-on experience using Python, AWS, Infrastructure as Code tools, API integrations, CI/CD pipelines, and monitoring platforms.
Key responsibilities include:

Design, build, and maintain automation for infrastructure operations and workflow orchestration using Python and low-code or no-code tools where appropriate.
Develop reusable automation patterns, scripts, and toolchains that reduce manual effort and lower operational risk.
Build and maintain CI/CD pipelines to streamline deployment processes.
Implement and manage monitoring, logging, and alerting systems to improve service health, availability, and performance.
Troubleshoot production issues, perform root cause analysis, and support long-term reliability improvements.
Follow documented change control procedures, including peer reviews, risk assessments, and rollback planning.
Support the scalability and resilience of core services through performance tuning and proactive risk reduction.
Translate stakeholder needs into technical solutions with defined KPIs and measurable outcomes.
Communicate project status, risks, and technical recommendations to stakeholders and team members.
Maintain system documentation and support escalations as needed.
Mentor teammates on automation, reliability, DevOps, and operational best practices.
Support incident response by triaging alerts, troubleshooting service issues, documenting actions taken, and contributing to post-incident reviews.
Promote responsible use of enterprise AI tools to improve automation, documentation, code generation, and troubleshooting while protecting company data and internal systems.

Qualifications
Required Qualifications:

3–5 years of experience in a DevOps, site reliability engineering, platform engineering, or infrastructure automation role.
Hands-on experience using enterprise AI development tools such as GitHub Copilot, Claude Code, Cursor, or similar tools to support automation, code generation, documentation, and troubleshooting.
Strong scripting and coding skills, with an emphasis on Python, software development best practices, and Git version control.
Advanced hands-on experience with AWS.
Hands-on experience with API integrations, including REST APIs, webhooks, and event-driven patterns.
Experience using Infrastructure as Code tools such as Terraform, Ansible, or CloudFormation.
Strong understanding of modern authentication and security principles.
Experience developing and maintaining CI/CD pipelines.
Experience with monitoring, logging, alerting, incident response, root cause analysis, and after-action reviews.
Ability to follow change control procedures, assess operational risk, and support rollback planning.
Strong communication skills with the ability to document systems, share updates, and collaborate across technical teams.
Availability to work standard business hours aligned with Mountain Time.

Preferred Qualifications:

Experience integrating SaaS and cloud-based business platforms such as Salesforce, Google Workspace, Microsoft 365, or similar tools.
Experience with database management systems such as MySQL, PostgreSQL, or MongoDB.
Understanding of query optimization and database performance concepts.
Experience implementing and managing automation workflows across infrastructure, SaaS, or operational environments.
Experience with Identity and Access Management systems, including SSO and SAML integrations with cloud platforms.
Experience using project tracking tools such as Jira to manage tasks, document progress, and report status.
Experience handling service degradation, outages, root cause analysis, and long-term remediation.
Hands-on experience using enterprise AI development tools such as GitHub Copilot, Claude Code, Cursor, or similar tools to support automation, code generation, documentation, and troubleshooting.
Experience integrating AI or large language model APIs into automation or operational workflows.
Sound judgment around responsible AI use in a corporate environment, including keeping company code, data, and internal system details within approved enterprise-governed tools.
A learning mindset and interest in using AI to reduce manual work, improve team output, and strengthen operational processes.

Benefits
Dahl Consulting is proud to offer a comprehensive benefits package to eligible employees that will allow you to choose the best coverage to meet your family’s needs. For details, please review the DAHL Benefits Summary: https://www.dahlconsulting.com/benefits-w2fta/.

How to Apply
Take the first step on your new career path! To submit yourself for consideration for this role, simply click the apply button and complete our mobile-friendly online application. Once we’ve reviewed your application details, a recruiter will reach out to you with next steps!

Equal Opportunity Statement
As an equal opportunity employer, Dahl Consulting welcomes candidates of all backgrounds and experiences to apply. If this position sounds like the right opportunity for you, we encourage you to take the next step and connect with us. We look forward to meeting you!

#LI-CF1
#LI-Remote
#ZR #IT.Indeed

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