P

Particle41

Provides expert application, DevOps, ML teams

Lead DevOps Engineer

DevOps EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USANo salary listed

About the Job

Requirements

  • A bachelor's degree in Computer Science or a related field is preferred.
  • At least 8 years of experience in DevOps, site reliability engineering, platform, or infrastructure engineering, including at least 2 years leading teams or owning the DevOps function for multiple products or clients.
  • Extensive hands-on expertise with at least two major cloud providers (AWS, Azure, or GCP) and working knowledge of the third.
  • Deep experience with infrastructure as code, with Terraform strongly preferred, and configuration management such as Ansible.
  • Proficiency in scripting and automation with languages such as Python, Bash, or Go.
  • Solid grounding in cloud security, identity and access management, networking, and compliance-driven environments.
  • Experience mentoring and developing engineering teams.
  • Experience with agile development methodologies and a collaborative, client-facing mindset; comfort advising senior client stakeholders is a plus.
  • Relevant certifications, such as AWS Solutions Architect or DevOps Engineer Professional, Azure Administrator or DevOps Engineer Expert, Google Professional Cloud DevOps Engineer, or Certified Kubernetes Administrator, are a plus.

Responsibilities

  • Own the DevOps technical roadmap and vision in collaboration with architects and stakeholders, and align it with business goals.
  • Define reference architectures, reusable infrastructure-as-code modules, pipeline templates, and standards for teams across projects.
  • Be accountable for platform reliability, security posture, and delivery velocity outcomes across engagements, measured through service-level objectives.
  • Represent the DevOps practice with clients by participating in discovery and pre-sales conversations, estimating and scoping infrastructure workstreams, and advising client leadership on cloud and platform decisions.
  • Contribute to practice growth by interviewing and assessing DevOps candidates, and help shape team structure and capability development.
  • Lead the design and implementation of cloud infrastructure across AWS, Azure, and GCP using infrastructure-as-code tools such as Terraform, CloudFormation, or Pulumi.
  • Architect and operate container platforms, including Kubernetes (EKS, AKS, GKE) and managed container services, to support scalable, resilient workloads.
  • Define landing zones, account and subscription structures, and network topologies that balance security, cost, and developer velocity.
  • Evaluate and recommend platform tooling and managed services to support business requirements.
  • Own CI/CD strategy and pipeline architecture using tools such as GitHub Actions, GitLab CI, Azure DevOps, or Jenkins to make releases fast, repeatable, and safe across teams.
  • Drive automation across build, test, deployment, and environment provisioning, set standards for eliminating manual toil, and remain hands-on where needed.
  • Establish GitOps workflows such as ArgoCD or Flux for declarative, auditable deployments.
  • Define the observability strategy for monitoring, logging, and tracing using tools such as Prometheus, Grafana, Datadog, CloudWatch, or OpenTelemetry, and drive adoption across teams.
  • Own service-level indicators, service-level objectives, and error budgets in partnership with engineering and product teams, and hold teams accountable to them.
  • Own incident response, on-call practices, and blameless post-incident reviews to continuously improve system resilience.
  • Plan for capacity, scalability, and disaster recovery, including backup strategies and multi-region considerations.
  • Own the DevSecOps posture by defining and embedding security standards into delivery pipelines, including secrets management, vulnerability scanning, image signing, and policy as code.
  • Support compliance initiatives such as SOC 2, ISO 27001, and HIPAA with automated controls and evidence collection.
  • Own cloud cost outcomes by driving right-sizing, autoscaling, and FinOps practices, and report spend posture to stakeholders.
  • Mentor and coach DevOps and software engineers to enhance their technical skills and expertise.
  • Foster collaboration, knowledge sharing, and continuous learning.
  • Review infrastructure code and pipeline changes and provide constructive feedback to improve quality and maintainability.
  • Provide technical leadership and guidance on infrastructure, platform, and operational decisions.
  • Lead by example through hands-on involvement in automation, tooling, and design discussions.
  • Identify and resolve technical challenges to ensure project success.
  • Drive continuous improvement initiatives to enhance delivery processes and methodologies.
  • Track DORA metrics, including deployment frequency, lead time, change failure rate, and time to restore, and use them to guide improvements.
  • Facilitate lessons-learned meetings to improve future projects.
  • Stay up to date with industry best practices and standards in DevOps, platform engineering, and cloud operations.

Desired Qualifications

  • Terraform is strongly preferred.
  • Comfort advising senior client stakeholders is a strong plus.
  • Certifications in relevant technologies, such as AWS Solutions Architect or DevOps Engineer Professional, Azure Administrator or DevOps Engineer Expert, Google Professional Cloud DevOps Engineer, or Certified Kubernetes Administrator, are a plus.

About the Company

Particle41

Provides expert application, DevOps, ML teams

Particle41 builds expert teams across software development, DevOps, and machine learning to strengthen a client’s capabilities. It assembles cross-functional teams that integrate into client projects, guiding work with clear communication and predictable timelines to drive fast progress. The service emphasizes specialized, high-caliber teams that augment the client’s own capabilities with speed, transparency, and forward planning. Its goal is to amplify a client’s business by delivering dependable teams that advance critical development, operations, and ML initiatives.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Frisco, TX
Founded
2015

Recently Posted Jobs

Explore more opportunities at Particle41

See more jobs