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DevOps/SRE Engineer

DatasignifyUnited States🇺🇸United StatesPosted Oct 15, 2026

Why This Role Stands Out

This remote DevOps/SRE Engineer role at Datasignify offers significant growth by empowering you to own critical cloud infrastructure, including Kubernetes and CI/CD pipelines, while fostering a collaborative environment. You'll thrive here if you possess strong Kubernetes experience and a passion for building robust, secure, and scalable systems, making this an excellent opportunity to advance your career.

Quick Overview

Seniority
Mid Senior
Work mode
Remote
Location
United States
Posted
Yesterday
AWSSOC 2AirflowBigQueryDNSGitGitHub ActionsGoogle CloudGrafanaHelmKubernetesPrometheusTerraformdbt

Job Description

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. 

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