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Pythian

DevOps Engineer

УдалённоMexico, Romania толькоВ архиве
Опубликовано
Роль
DevOps
Опыт
Синьор
Занятость
Полная занятость
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Коротко по делу

We're looking for an infrastructure/DevOps engineer to own the AWS platform our clients' RDS and Aurora databases run on — not the databases' internals.

Ключевые навыки

AWSTerraformGitLab/GitHub/Harness

Обязательные навыки

Python/GoIAMKMSSecurity GroupsNetwork ACLVPCSubnetsTransit GatewaysGCPCloudFormationOpsWorksScalaKubernetesDockerlxcPuppetVMwareHyper-VKVMTCP/IPNIC bondingDNSNTPDHCPSMTPweb serversnetwork load balancersLinux

Желательные навыки

DockerVaultProxySQLMySQL

Чем предстоит заниматься

  • Act as the escalation point when clients or internal teams break their Terraform, break their pipeline, or don't follow documented process — diagnose the actual problem and get them unblocked.
  • Write clear Root Cause Analysis (RCA) reports for significant incidents.
  • Build and maintain Terraform for provisioning AWS database infrastructure (RDS/Aurora), and the GitLab/Harness pipelines that deploy it.
  • Maintain the supporting tooling that manages database users and schemas, ensuring it stays correctly integrated with the databases it manages.
  • Automate recurring operational work with Python or Go.
  • Operate, maintain, and administer solutions contributing to customer infrastructure's operational efficiency, availability, and visibility.
  • Plan maintenance activity, produce design documentation, and maintain standard procedures.
  • Provide Root Cause Analysis reports for outages/incidents (ITIL - Problem Management).
  • Observe client infrastructure and identify opportunities to improve resiliency, reduce incidents, and automate repetitive tasks.
  • Act as a technology leader for clients and participate in an on-call rotation in an escalation capacity.

Что требуется

  • 5+ Years of experience with AWS and Terraform in a production environment
  • Provisioning AWS infrastructure through a CI/CD pipeline (GitLab, Github, Harness, or equivalent).
  • Familiarity with RDS/Aurora operations — backup/restore, replication, disaster recovery — at the infrastructure level
  • Solid understanding of AWS security and compliance controls.
  • Proficiency in AWS networking (VPC, Subnets, Transit Gateways).
  • Experience working with Google (necessary) and AWS Clouds.
  • Scripting and automation of administrative tasks using Python and Scala is a must.
  • Solid understanding of microservices architecture and container technologies (Kubernetes is a must).
  • Infrastructure-as-code deployment experience (CloudFormation, Terraform, OpsWorks, etc.).
  • Comprehensive systems hardware and network troubleshooting experience; common Linux distribution installation, configuration and performance tuning.

Преимущества

  • Competitive total rewards package.
  • Flexibly work remotely from your home, there’s no daily travel requirement to an office!
  • Hone your skills or learn new ones with our substantial training allowance; participate in professional development days, attend training, become certified, whatever you like!
  • We give you all the equipment you need to work from home including a laptop with your choice of OS, and an annual budget to personalize your work environment!
  • You will have an annual wellness budget to make yourself a priority (use it on gym memberships, massages, fitness and more).
  • Flexibly work remotely from your home (no daily travel requirement).
  • Substantial training allowance and professional development days.
  • Company-provided equipment and an annual budget to personalize your work environment.
  • Annual wellness budget (gym memberships, massages, fitness, etc.).
  • Generous paid vacation and sick days, plus a day off to volunteer.

Pythian sits at the intersection of data engineering, AI production, and managed services — helping enterprises turn data complexity into competitive advantage. With three decades of deep managed services heritage and strategic partnerships across the leading cloud and database technology ecosystems, we are at the forefront of helping clients move from AI experimentation to AI in production.

🇨🇦 КанадаInformation Technology And ServicesСредняя

Что говорят о компании

3.1/ 5

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