DevOps Engineer(Azure)
Turing • Remote
Education
Not stated
Type
Hourly
Listed
122d ago
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Apply Now → ⚡ Boost your chances - Optimize your resume with Rezi.aiWhat We Know About This Role
- Interview
- Required i As stated in the listing: “Commitments Required: at least 4 hours per day and up to 40 hours per week with 4 hours of overlap with PST.”
- Weekly hours
- 40 hrs/week
- Timezone overlap
- Partial overlap with US Pacific time required
About this role
From the Turing listing
Yoe: 8+Work mode: 3 days WFO- GurugramAvailability- Immediate-1 weekCandidates local to Gurugram only.Required skills
- 10+ years of professional experience in IT, with at least 8 years focused on cloud architecture and implementation
- Deep expertise in major cloud platforms (AWS, Azure, Google Cloud Platform), with a preference for Azure.
- Strong understanding of cloud networking, including virtual networks, load balancers, application gateways and enterprise security standards such as Private links and Private endpoints.
- Strong understanding of cloud security, including expertise in implementing RBACs, network security groups (NSGs), and encryption protocols. Experience with using Managed Identities and Service Principals.
- Experience with Infrastructure as Code (IaC) tools such as Terraform, Azure Resource Manager (ARM) templates, and Helm charts.
- Proficiency in scripting languages (e.g., Python, PowerShell, Bash)
- Proficiency in containerization technologies (Docker, Kubernetes)
- Experience with cloud cost optimization and performance tuning
- Relevant cloud certifications (e.g., AWS Certified Solutions Architect, Azure Solutions Architect Expert, Google Cloud Certified - Professional Cloud Architect) Roles & responsibilities
- Design and implement scalable, secure, and cost-effective cloud architectures for enterprise clients
- Develop and maintain cloud adoption strategies and roadmaps
- Evaluate and recommend appropriate cloud services and technologies for specific business needs
- Implement best practices for cloud security, compliance, and governance
- Design and oversee disaster recovery and business continuity plans
- Optimize cloud performance and manage costs across multiple cloud platforms
- Collaborate with cross-functional teams including developers, security specialists, and network engineers
- Provide technical leadership and mentorship to junior team members
- Stay up-to-date with the latest cloud technologies and industry trends
- Conduct regular architecture reviews and propose improvements
- Develop and maintain documentation for cloud architectures and processesGood to have:AI/ML hands-on experience
Requirements
- Grad Biology
- Must be eligible to work in Remote
How long hiring takes
Across the AI training platforms we refer candidates to, the median gap between referral and hire is about 30 days. It varies by platform and role, so treat it as a rough guide for this one.
Interview Prep
Sample questions for a DevOps Engineer role, written in-house to help you prepare.
How do you design a CI pipeline to keep build times fast as a codebase and test suite grow?
I parallelize test execution across multiple runners and use caching for dependencies and build artifacts that haven't changed, rather than rebuilding everything from scratch on every run. I also separate fast unit tests from slower integration tests so the pipeline can give quick feedback before running the full suite.
What's your approach to managing infrastructure as code across multiple environments, like staging and production?
I use the same templates or modules across environments with environment-specific variables, rather than maintaining separate configurations that drift apart over time. Testing infrastructure changes in staging before applying them to production catches issues that only show up when the change actually runs.
How do you decide what should run as a separate service in a container orchestration setup versus being bundled together?
I split services based on independent scaling needs and deployment cadence, since bundling components with very different resource profiles or release schedules into one container makes both harder to manage. I avoid over-splitting into services so small that the coordination overhead outweighs the benefit.
What steps do you take to make a deployment process safe enough to run without manual intervention?
I build in automated health checks and rollback triggers so a bad deployment is caught and reverted automatically rather than relying on someone noticing manually. I also roll out changes gradually, like canary deployments, so a problem affects a small percentage of traffic before it's caught.
This listing calls for this tool directly. Prep for the technical screen:
What to Expect
Looking at Turing Software Engineering listings we've tracked, contracts in this domain typically run about 8.4 weeks. Actual length varies by project, but this gives you a realistic baseline going in.
Based on 28 extracted Turing Software Engineering listings.
Why this role
This DevOps Engineer (Azure) role is for engineers with real Azure infrastructure experience to build and evaluate DevOps tasks used to test AI model reasoning on cloud deployment and automation problems. The Azure specificity matters because the evaluation work depends on knowing that platform's actual tooling.
Skills and categories
Explore other opportunities in related specializations:
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Common questions
How does Turing's talent matching work?
Turing calls it the Intelligent Talent Cloud. You build a profile and go through vetting (automated tests, an AI-powered interview, practical skill assessments), and once vetted, Turing's algorithm surfaces your profile directly to partner companies like Fortune 500s and top AI labs. You don't browse listings or bid on work; matches come to you.
How and when does Turing pay contractors?
Monthly, in USD, via Deel, Payoneer, or direct bank transfer. You're engaged as an independent contractor responsible for your own local taxes. Plan your cash flow around a monthly cycle if you're used to weekly payouts elsewhere.
What does task-based AI training work look like?
Practical, hands-on data work: recording short videos, categorizing images, rating text responses, or analyzing data. Tasks are designed to be short and distinct, typically 5 to 60 minutes each.
What does Software Engineering work look like for a DevOps Engineer(Azure)?
Tasks here are scoped to Software Engineering, not generic labeling. As a DevOps Engineer(Azure), expect to draw on real domain judgment (evaluating outputs, correcting errors, or providing expert reasoning specific to Software Engineering) rather than following a one-size-fits-all rubric. If you don't have hands-on Software Engineering background, this is likely not the right listing to start with.
What specific skills does this listing call for?
Grad Biology, Coding, Bash, and Python are named directly in the listing. If you don't have hands-on experience with these, expect the screening process to test for them directly rather than accepting adjacent experience as a substitute.
How many hours per week does this role require?
Based on the listing, this role is scoped at about 40 hours per week. Treat this as a real commitment expectation, not a loose estimate.
How much does this specific role pay?
The listing doesn't state a rate. The $25–$55/hr shown here is our estimate from the role type and location (see /pay-methodology), so treat it as a rough guide and confirm the actual rate with the platform before committing time.
What happens when I click Apply on this listing?
You'll be taken to Turing's external site to complete your application there. This listing links through a referral, but the process is identical to applying directly; the link just routes you correctly. Create an account on their site and follow their onboarding steps.
Is there an interview?
Yes. Based on the assessment outcomes, shortlisted candidates will be contacted to schedule an interview.