DevOps Engineer
- Роль
- DevOps
- Опыт
- Синьор
- Занятость
- Полная занятость
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Коротко по делу
Infrastructure/DevOps engineer needed to manage AWS platform for client RDS/Aurora databases. Requires 5+ years of AWS and Terraform experience, CI/CD pipeline management, and Python/Go automation. Must be comfortable as an escalation point for infrastructure/pipeline issues.
Ключевые навыки
Обязательные навыки
Желательные навыки
Обязательные языки
Managed Services
Managed Services
Argentina
Brazil
Managed Services
India
Managed Services
India ( Remote )
Managed Services
Argentina
Brazil
Managed Services
Canada
Managed Services
Calgary, Canada
Edmonton, Canada
Managed Services
Hyderabad, India
India - Remote
Managed Services
India ( Remote )
Managed Services
Argentina
Brazil
Managed Services
Costa Rica
Mexico
Managed Services
India
Managed Services
India
Professional Services
Professional Services
India ( Remote )
Sales
Sales
Calgary, Canada
Canada
Sales
Phoenix, AZ
San Diego, CA
Sales
Atlanta, GA
Austin, TX
Sales
San Francisco, CA
San Jose, CA
Sales
Denver, CO
Sales
Portland, OR
Salt Lake City, UT
Sales
London, United Kingdom
United Kingdom
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.
- Apply AWS security best practices — IAM roles, KMS encryption, Security Groups, Network ACLs — across managed environments.
- Build and improve the incident-response tooling so support queries get automatically routed to the right place, rather than landing on the person who is on call.
- Own and improve documentation — runbooks, operational guides, disaster recovery procedures — so people stop making the same mistakes.
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.
- Experience automating operational tasks with Python or Go.
- Proficiency in AWS networking (VPC, Subnets, Transit Gateways).
- Comfortable being the person people come to when infrastructure or a pipeline is broken — clear communication under pressure, no hand-holding needed to trace a symptom to its root cause.
- The successful applicant will need to fulfill the requirements necessary to obtain a background check.
Преимущества
- Competitive total rewards package.
- Blog during work hours; take a day off and volunteer for your favorite charity.
- Flexibly work remotely from your home, there’s no daily travel requirement to an office! All you need is a stable internet connection.
- Collaborate with some of the best and brightest in the industry!
- 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!
- Pythian cares about the health and well-being of our team. You will have an annual wellness budget to make yourself a priority (use it on gym memberships, massages, fitness and more).
- Additionally, you will receive a generous amount of paid vacation and sick days, as well as a day off to volunteer for your favorite charity.
- Accommodations are available upon request for candidates taking part in any aspect of the selection process.
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.