Datasignify
Datasignify

DevOps/SRE Engineer

Remote • Posted 1 hour ago • Updated 1 hour ago
Contract W2
Contract Independent
6 Months
No Travel Required
Remote
Depends on Experience
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Job Details

Skills

  • Amazon Web Services
  • Auditing
  • Capacity Management
  • Change Control
  • Cloud Computing
  • DNS
  • Continuous Integration
  • DevOps
  • Dragon NaturallySpeaking
  • Git
  • GitHub
  • Debugging
  • Google Cloud Platform
  • Incident Management
  • Kubernetes
  • Grafana
  • Workflow
  • Terraform
  • Virtual Private Network

Summary

Hi,
 
Position: DevOps/SRE Engineer
Location: Remote
Duration: Contract to Hire
 
Job Description:
 
WHAT YOU'LL DO
 
Own day-to-day reliability of Kubernetes clusters (GKE / EKS): node pools (Spot/standard), autoscaling, taints/labels, and workload placement.
 
Maintain and extend Terraform modules for VPC, clusters, IAM, and add-ons across Google Cloud Platform and AWS; land all infra changes through Git and PRs.
 
Design and operate cross-cloud networking and connectivity (VPC, peering, VPN/Interconnect, DNS, private service access).
 
Operate and improve Airflow-on-Kubernetes (executor configs, resource requests, pod scheduling, and failure recovery).
 
Build and harden CI/CD (GitHub Actions) for infra and app deployments - gated promotes, environment isolation, rollback paths.
 
Design observability: metrics, logs, traces, SLOs/SLIs, and actionable alerting across clouds (not alert noise).
 
Write runbooks for common failure modes; lead or support incident response and postmortems.
 
Harden security posture for SOC 2: least-privilege IAM, secret management, audit logging, change control.
 
Partner with data and platform engineers on capacity, cost, and performance trade-offs.
 
Participate in design discussions, surface trade-offs, and propose improvements as you encounter them in the stack.
 
REQUIRED QUALIFICATIONS
 
4–5 years in DevOps, SRE, or platform engineering.
 
Strong hands-on Kubernetes experience in production (GKE and/or EKS) - scheduling, resources, networking, troubleshooting.
 
Multi-cloud experience - production work on both Google Cloud Platform and AWS (or deep in one with solid working knowledge of the other).
 
Solid Terraform experience - modules, state, reviews, and safe apply workflows you have used in production.
 
Working knowledge of CI/CD (GitHub Actions, Cloud Build, CodePipeline, or similar) for infra and containerized apps.
 
Comfortable with Linux, containers, and debugging production issues from logs/metrics.
 
Cloud fundamentals across providers: IAM, VPC/networking, managed Kubernetes, secrets, monitoring/logging.
 
Clear written communication - runbooks, PR descriptions, incident notes.
 
PREFERRED QUALIFICATIONS
 
Airflow on Kubernetes / GKE operations.
 
Helm / Kustomize for app and platform packaging.
 
Prometheus, Grafana, Cloud Monitoring, and/or CloudWatch at scale.
 
Experience with Spot/preemptible node pools and cost-aware capacity planning across clouds.
 
Prior work in SOC 2 or similarly controlled environments.
 
Exposure to data platforms (BigQuery, dbt, ingestion pipelines) as a platform consumer. 
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: PTPz87yWzcOwE6H
  • Position Id: 9116761
  • Posted 1 hour ago

Company Info

About Datasignify

We help organizations transform vast amounts of data into actionable insights, strategic decisions, and measurable growth—through expert analytics and innovative data solutions. As a specialized consultancy, we deliver high-impact outcomes with authenticity and rigor. Why Teams Choose DataSignify: 

Empowering Results – Our data analytics services help organizations turn vast amounts of data into actionable insights that drive success and growth. Datasignify 

Collaborative Approach – We foster a supportive work environment that prioritizes collaboration and continuous learning. Datasignify 

Industry Expertise – Our team of education experts brings extensive experience in delivering high-quality, engaging, and effective data solutions. Datasignify 

Proven Success – Trusted by markting agencies and professionals seeking to upskill in the digital world. Datasignify Our Services Include: 

Data Analytics & Consulting – Expert services that transform data into insights Datasignify 

Online Education & Training – Comprehensive courses in data analytics, management, and science designed for busy professionals Datasignify

Staff Augmentation – Skilled professionals to enhance your team capabilities 

Data Visualization – Creation of visually appealing and easy-to-understand formats that communicate information effectively Datasignify

IT Consulting – Specialized expertise in technology implementation and optimization Datasignify What Sets Us Apart: Strong emphasis on authenticity and rigor in all our work Datasignify Diverse team of experts focused on delivering innovative data solutions Datasignify Hands-on training with real-world projects that lead to tangible career outcomes Datasignify Proven track record of exceeding client expectations in marketing and other sectors Datasignify

Ready to harness the power of your data? Let's connect and discover how DataSignify can empower your business with innovative data solutions!

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Jethin Abraham

Recruiter @ Datasignify

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