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Remote Gitops Engineer Jobs in Austin, TX (NOW HIRING)

Hyperproof

Senior DevSecOps Engineer

Austin, TX · Remote

$113K - $155K/yr

Senior DevSecOps Engineer (Remote-based role that requires US-citizenship) About us Hyperproof is ... Kubernetes security, infrastructure-as-code (Terraform/Terragrunt), GitOps (Helm/ArgoCD/Flux ...

Ditto

Staff Software Engineer, Platform

Austin, TX · Remote

Whether you're in a stadium, airplane, or remote military base, Ditto's peer-to-peer sync engine ... Experience with infrastructure-as-code, GitOps, and modern platform engineering practices * Ability ...

All JobsGitops Engineer JobsRemote Gitops Engineer JobsRemote Gitops Engineer Jobs in Austin, TX

Remote Gitops Engineer information

See Austin, TX salary details

$37.7K

$114.8K

$189.8K

How much do remote gitops engineer jobs pay per year?

As of Aug 5, 2026, the average yearly pay for remote gitops engineer in Austin, TX is $114,846.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,300.00 and $150,200.00 per year, depending on experience, location, and employer.

What is a Remote GitOps Engineer?

A Remote GitOps Engineer is a software professional who manages and automates infrastructure and application deployments using GitOps principles, typically while working from a remote location. GitOps is a methodology that uses Git repositories as the single source of truth for declarative infrastructure and applications. The engineer is responsible for implementing, maintaining, and troubleshooting continuous deployment pipelines, ensuring that changes are version-controlled and auditable. They often work with tools like Kubernetes, ArgoCD, and Flux, collaborating with development and operations teams to streamline DevOps workflows.

What are the key skills and qualifications needed to thrive as a Remote GitOps Engineer?

To thrive as a Remote GitOps Engineer, you need a strong background in software development, infrastructure-as-code, and experience with cloud platforms, often supported by a degree in computer science or a related field. Familiarity with tools like Kubernetes, Docker, Terraform, Git, and CI/CD systems, along with certifications such as CKA or AWS Certified DevOps Engineer, is highly valuable. Excellent problem-solving, communication, and self-motivation are key soft skills for collaborating remotely and managing complex workflows. These skills ensure efficient, reliable, and scalable deployment pipelines, enabling teams to deliver software securely and quickly in distributed environments.

How does a Remote GitOps Engineer typically collaborate with development and operations teams to ensure smooth deployment processes?

As a Remote GitOps Engineer, you'll frequently collaborate with both development and operations teams through tools like Git, Slack, and video conferencing. Your main responsibility is to ensure deployment pipelines are automated and transparent, often acting as a bridge between developers writing code and operations teams managing infrastructure. Regular communication and documentation are crucial to resolve issues quickly and keep everyone aligned. You will also participate in code reviews, incident response, and infrastructure improvements, ensuring deployments are reliable and reproducible across distributed teams.

What is the difference between Remote Gitops Engineer vs Cloud Engineer?

AspectRemote Gitops EngineerCloud Engineer
Required CredentialsCertifications like Kubernetes, Docker, GitOps toolsCloud platform certifications (AWS, Azure, GCP), Linux skills
Work EnvironmentRemote, DevOps teams, CI/CD pipelinesRemote or on-site, cloud infrastructure management
Industry UsageDevOps, software development, automationCloud services, infrastructure, application deployment
Search & Comparison IntentFocus on automation, deployment, CI/CDFocus on cloud infrastructure, architecture

The Remote Gitops Engineer specializes in automating deployment processes using GitOps tools and practices, primarily working remotely within DevOps teams. In contrast, a Cloud Engineer manages cloud infrastructure and services across platforms like AWS, Azure, or GCP. While both roles require cloud and automation skills, the Gitops Engineer emphasizes continuous deployment and automation pipelines, whereas the Cloud Engineer focuses on infrastructure setup and management.

What are the most commonly searched types of Gitops Engineer jobs in Austin, TX? The most popular types of Gitops Engineer jobs in Austin, TX are:
What are popular job titles related to Remote Gitops Engineer jobs in Austin, TX? For Remote Gitops Engineer jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Remote Gitops Engineer jobs in Austin, TX look for? The top searched job categories for Remote Gitops Engineer jobs in Austin, TX are:
What cities near Austin, TX are hiring for Remote Gitops Engineer jobs? Cities near Austin, TX with the most Remote Gitops Engineer job openings:
Remote Gitops Engineer jobs near you
Infographic showing various Remote Gitops Engineer job openings in Austin, TX as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $114,846 per year, or $55.2 per hour.

Sr. SRE Platform Software Engineer (Remote)

Bitdeer Technologies Group

Austin, TX • Remote

$58.25 - $77.50/hr

Full-time

Re-posted 12 days ago

Job description

About Bitdeer Technologies Group

Bitdeer is a world-leading technology company for AI and Bitcoin mining infrastructure.

Bitdeer is committed to providing comprehensive Bitcoin mining solutions for its customers and building AI computational infrastructure to support the AI revolution. Bitdeer handles complex processes involved in computing such as equipment procurement, transport logistics, data center design and construction, equipment management, and daily operations. Bitdeer also offers advanced cloud capabilities to customers with high demand for artificial intelligence.

Headquartered in Singapore, Bitdeer has deployed data centers across multiple countries, including the United States, Norway, Bhutan, and Ethiopia.
To learn more, visit https://ir.bitdeer.com/

Position Overview

Build and operate one or more bounded contexts of the NeoCloud SRE platform the multi-region substrate that observes, protects, and operates a GPU rental fleet across self-built and OEM-rented data centers. You take an architect-approved design and turn it into production code that ships through GitOps + the CICD release pipeline, ride the Plugin Framework conventions, meet declared SLOs, and stay drift-free.

This is the build + run role. You don't only ship code; you ship a service that other squads, cloud-service teams, and tenants depend on. You take the on-call pager for what you build.

Key Responsibilities
You will own 1-2 of these:

  • Collection & Storage: collection-agent, customer-sdk-gateway, metrics-store, logs-store, traces-store, profiles-store, analytics-lake, enrichment-service, collection-monitor.
  • Alert, Correlation & SLO: alert-engine-framework, alert-correlation, slo-framework, default M-series alert rules.
  • Topology, Cluster-Health & Cluster Platform Services: topology-service, cluster-health-rollup, OSS-SRE-tool collection plugins for K8s, Slurm, Ray, Volcano, Kueue, and KubeRay.
  • Fault-Prediction: prediction-engine-framework and built-in predictors (GPU, Link, Disk, XPA, Straggler, SDC, Stranded GPU).
  • Remediation, Workflow, Inspection & Jobs: remediation-actuator, orchestration-substrate (workflow engine), inspection-orchestrator, job-scheduler, NCCL-baseline inspection probe.
  • Hardware Lifecycle & DC Ops: hardware-lifecycle, dc-operations, boot-provisioning, rolling-upgrade, bare-metal-bmc-service, auto-discovery, ZTP D0D5 pipeline, IPMI bare-metal management.
  • Identity, Secrets, Tenant-Config & CMDB: iam-service, secrets-service, tenant-sre-config, cmdb-cache, schema registry.
  • Customer-Bridge, Ticketing & SRE Platform Portal: customer-bridge, customer-ticketing, sre-operation-system, Customer Console BFF, SRE Console BFF.
  • Backup, DR & Meta-Monitor: backup-orchestrator, meta-monitor, external-watcher integration (Datadog or equivalent).
  • CI/CD, GitOps, Plugin Framework & SRE Image Registry: cicd-pipeline, gitops-sync, plugin-registry, sre-image-registry.
  • Self-Improving Agent: agent-control-plane, agent-discovery, agent-codegen, agent-sandbox, per-Region LLM gateway.
  • Global SRE Management: maintenance-window-orchestrator, change-management, capacity-planner, cost-optimizer, gpu-efficiency-dashboard, network-stability-dashboard, patching-orchestrator, artifact-management, compat-matrix-service, security-platform.

Qualifications

  • Software Engineering Experience: 7+ years of production software engineering experience, including 2 or more years operating what you built (real on-call experience, not just shipping code).
  • Programming Languages: Production-depth mastery of at least one systems-grade languageGo (preferred), Rust, or Java. Proficiency in Python for tooling and SDK work.
  • Distributed Systems Fundamentals: Strong grasp of at-least-once vs. exactly-once trade-offs, idempotency, back-pressure, leader election, consistent hashing, gossip, and fan-out. Ability to evaluate CRDT vs. Raft vs. Paxos and select the right tool for the job.
  • Multi-Region Observability Stack: Experience at production scale with Prometheus, VictoriaMetrics, Mimir, Thanos, Loki, Elasticsearch, Tempo, Jaeger, or OpenTelemetry. Must have built or substantively contributed to the ingest, query, or storage paths of these systems.
  • GitOps & CI/CD: Hands-on experience with Argo, Flux, Helm, Kustomize, Cosign signing, signed-bundle promotion, and blast-radius-aware rollouts.
  • Kubernetes Operator Pattern: Proven experience writing a controller or CRD handling real production traffic, with a deep understanding of watch-cache mechanics, leader election, and reconcile loops.
  • mTLS & Secrets Management: Experience executing end-to-end mTLS bootstrap with certificate rotation. Hands-on experience with HashiCorp Vault or cloud KMS (AWS KMS / GCP KMS).
  • SQL & Time-Series Data: Ability to read a Prometheus query plan, build a recording-rule strategy, and write SQL that joins per-tenant telemetry against analytics-lake tables.
  • Testing Discipline: Rigorous approach to unit, integration, contract, chaos, and soak testing. Experience writing and maintaining your own comprehensive tests.
  • Technical Writing Fluency: Ability to author clear design docs that align with existing platform architecture, create runbooks optimized for 3 AM on-call responses, and write intent-driven PR descriptions.
Preferred Qualifications (GPU / AI-Infra Context)
Experience in at least one of the following areas is a strong plus:
  • NVIDIA Internals: Deep understanding of DCGM and NVIDIA driver internals, including XID semantics and MIG / vGPU partitioning.
  • Networking & Fabrics: Experience with InfiniBand or RoCE fabrics, including subnet managers, partitioning, optical health, and NCCL collective tracing.
  • HPC Storage: Experience managing Lustre, NetApp, Pure, DDN, VAST, or NVMe-oF under multi-tenant loads.
  • Hardware Management: Hands-on experience with BMC, IPMI, and Redfish at OEM scale (Supermicro, Dell, HPE, Lenovo).
  • Cluster Platform Internals: Familiarity with Kubernetes GPU Operator, Slurm controller, or Ray GCS.
  • BS/MS in Computer Science or similar
  • Hyperscale or NeoCloud experience

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Bitdeer is committed to providing equal employment opportunities in accordance with country, state, and local laws. Bitdeer does not discriminate against employees or applicants based on conditions such as race, color, gender identity and/or expression, sexual orientation, marital and/or parental status, religion, political opinion, nationality, ethnic background or social origin, social status, disability, age, indigenous status, and union.