Sr. DevOps Engineer
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Before you apply
Salary$130k – $160k
LocationRemote (United States)
Work moderemote
Typefull-time
SenioritySenior
Experience7+ yrs
DepartmentBusiness Enablement
Company size501–1,000 people
First seenOct 30, 2026 · 1w ago
Verified live3d ago
At a glanceSummarised by Seekless from the posting.
7+ years of professional experience in DevOps, SRE, or cloud infrastructure engineering, with a track record of securing and operating production cloud environments
Deep AWS expertise, with working experience in GCP
Strong networking skills, including VPC design, routing, segmentation, DNS, private connectivity, and defining clear security boundaries
Strong cloud security practices, including IAM and least privilege, secrets management, encryption, vulnerability management, and audit logging
Hands-on experience building CI/CD pipelines and deployment strategies such as blue-green, canary, and automated rollback
Experience with infrastructure as code (e.g., Terraform, CloudFormation)
Experience administering engineering tools such as Sentry, APM platforms, and testing tools
Experience with cloud cost visibility and management, including reporting spend clearly to technical and non-technical teams
Broad understanding of engineering toolchains, including how components integrate and where improvements can be made
Strong communication skills and a track record of supporting multiple teams and encouraging adoption of shared practices
AWS certifications, such as Security Specialty or Solutions Architect Professional
Experience with containers and orchestration (e.g., ECS, EKS, Kubernetes)
Experience with observability tooling and standards (e.g., Datadog, New Relic, OpenTelemetry)
Experience supporting data platforms and pipelines (e.g., BigQuery, dbt)
Experience with compliance frameworks such as SOC 2, or in a regulated or document-heavy industry such as legal or financial services
Skills
AWS
GCP
Terraform
CloudFormation
Sentry
APM
ECS
EKS
Kubernetes
Datadog
New Relic
OpenTelemetry
BigQuery
dbt
Benefits
Health insurance
Dental insurance
Vision insurance
401(k)
Life insurance
Disability coverage
Paid time off
Parental leave
About the company
Our Story
TopDog Law is a nationally scaling personal injury firm that owns the client experience end to end, from marketing and intake through litigation. We’ve grown 2-3x year over year for three years running, and we’re now building the operations, systems, and teams to scale without sacrificing quality or culture. We’re fully remote, and we value ownership, open communication, and speed. If you want to help build something exceptional, you’ll feel at home here.
The Opportunity
We’re looking for a Senior DevOps Engineer to own the security, reliability, and cost of our cloud environments and the engineering tools our teams depend on. Our internal platforms are built primarily on AWS, with some GCP, and you’ll be the hands-on expert who makes sure those environments are safe, well-run, and built on sound DevOps practices.
This is a hands-on role supporting multiple teams across business areas. You’ll establish shared DevOps practices and capabilities that help teams deliver securely and reliably. You’ll combine deep AWS expertise with a broad understanding of engineering tools, their costs, and opportunities to improve our processes. You’ll bring a proven track record of implementing these practices in production environments.
What You Will Own
Cloud Security & Infrastructure
•
Secure our cloud. Own the security posture of our AWS and GCP environments, including IAM and least-privilege access, network design and boundaries, secrets and encryption, and logging and audit, and drive risks to remediation.
•
Standardize the platform. Build and maintain infrastructure as code, with clear standards for accounts, environments, and networking that teams can follow.
CI/CD & Delivery
•
Improve how we ship. Build and improve CI/CD pipelines with security checks built in, and introduce proven deployment practices such as blue-green and canary releases with reliable rollback.
•
Improve DevOps practices. Assess existing DevOps processes, identify opportunities for improvement, and prioritize and implement solutions.
Tooling & Cost
•
Manage engineering tools. Administer external engineering tools, including Sentry, APM platforms, and testing tools, covering access, configuration, integrations, and licensing.
•
Optimize cloud and tooling costs. Track cloud and tooling spend, provide clear cost reporting to teams, and drive optimization.
Support Across Teams
•
Maintain reliability. Implement monitoring and alerting, and support incident response to keep platforms reliable.
•
Support multiple teams. Serve as the DevOps point of contact across business areas, help teams resolve delivery challenges, and document reusable practices and solutions.
What You Bring
Required:
•
7+ years of professional experience in DevOps, SRE, or cloud infrastructure engineering, with a track record of securing and operating production cloud environments.
•
Deep AWS expertise, with working experience in GCP.
•
Strong networking skills, including VPC design, routing, segmentation, DNS, private connectivity, and defining clear security boundaries.
•
Strong cloud security practices, including IAM and least privilege, secrets management, encryption, vulnerability management, and audit logging.
•
Hands-on experience building CI/CD pipelines and deployment strategies such as blue-green, canary, and automated rollback.
•
Experience with infrastructure as code (e.g., Terraform, CloudFormation).
•
Experience administering engineering tools such as Sentry, APM platforms, and testing tools.
•
Experience with cloud cost visibility and management, including reporting spend clearly to technical and non-technical teams.
•
Broad understanding of engineering toolchains, including how components integrate and where improvements can be made.
•
Strong communication skills and a track record of supporting multiple teams and encouraging adoption of shared practices.
Preferred (Nice to Have):
•
AWS certifications, such as Security Specialty or Solutions Architect Professional.
•
Experience with containers and orchestration (e.g., ECS, EKS, Kubernetes).
•
Experience with observability tooling and standards (e.g., Datadog, New Relic, OpenTelemetry).
•
Experience supporting data platforms and pipelines (e.g., BigQuery, dbt).
•
Experience with compliance frameworks such as SOC 2, or in a regulated or document-heavy industry such as legal or financial services.
Who Thrives Here (Core Values)
We don’t hire on resumes alone. We hire for competence, character, and mindset.
•
Embrace Change: Open to feedback, embracing change, and always asking “what’s next?”
•
Committed: You care deeply, have your teammates’ backs, and show up to build something lasting.
•
No-Ego Energy: Positive, professional, and solutions-oriented. Drama stays at the door.
•
Ownership: You do what you say, follow through, and treat the business like it’s yours.
•
Fast & Hungry: You move with urgency, thrive under high expectations, and are motivated by growth and impact.
What We Offer
•
Base Salary: $130,000 - $160,000, commensurate with experience
•
Our job postings reflect the compensation range for the specific market and location of each role. Ranges vary by geography based on local market rates and cost of labor.
•
Benefits include: Medical, dental, and vision insurance, 401(k) with company match, HSA, life insurance, disability coverage, paid time off, and parental leave.
Equal Opportunity Employer
We are an equal opportunity employer. Employment selection and related decisions are made without regard to age, race, color, national origin, religion, sex, disability, sexual orientation, gender identification, or being a qualified disabled veteran or qualified veteran of the Vietnam era or any other category protected by Federal or State law.
DISCLAIMER: This is a full-time employee position. It is not open to independent contractor or consulting arrangements. Compensation is determined by the location where the work is performed and is subject to applicable local law.
DISCLAIMER: Each TopDog Law affiliated entity may use may use artificial intelligence (AI) and automated decision-making tools to assist in screening and evaluating candidates for employment positions, including whether to advance a candidate in the application process. These tools assess job-related qualifications and characteristics—such as work experience, education, and skills relevant to the position as described in the job posting—based on information you provide in your application materials (e.g., resume, application responses, and other submitted materials, if any).
All adverse decisions affecting your candidacy are reviewed by a human member of our Talent Acquisition team before being finalized. AI does not make the final decision on your candidacy.
If you have questions about this notice, wish to request additional information about how AI was used in a decision affecting you, wish to request correction of inaccurate data, or need a reasonable accommodation that is required by law regarding TopDog Law’s use of these tools, please contact: Talent Acquisition Department | [[email protected]