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Entry Level Gitops Engineer Jobs (NOW HIRING)

Site Reliability Engineer

$58.25 - $77.50/hr

... behaviors, and mentor entry-level SREs on operational best practices What you will bring ... Familiarity with GitOps workflows, incident management, and on-call practices * Strong problem ...

Full-Stack Cloud Engineer

Tampa, FL ยท On-site

$77K - $202K/yr

Drive a GitOps promotion path through dev, QA, stage, and prod on a major cloud provider (AWS ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Entry Level Gitops Engineer information

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$30K

$69.4K

$118K

How much do entry level gitops engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for entry level gitops engineer in the United States is $69,362.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,500.00 and $78,500.00 per year, depending on experience, location, and employer.

What is an entry level GitOps engineer?

An Entry Level GitOps Engineer is a technology professional who helps automate and manage infrastructure and application deployments using GitOps principles. GitOps is a way of implementing continuous deployment for cloud-native applications by using Git as the single source of truth for declarative infrastructure and application code. As an entry-level engineer, the role often involves setting up, maintaining, and troubleshooting deployment pipelines, collaborating with developers and operations teams, and learning best practices for infrastructure as code. This job is ideal for those interested in DevOps, cloud computing, and automation. Typically, entry-level GitOps Engineers work under the supervision of senior engineers while gaining practical experience with tools like Kubernetes, ArgoCD, and Flux.

What are the key skills and qualifications needed to thrive as an entry level GitOps engineer?

To thrive as an Entry Level GitOps Engineer, you need foundational knowledge in software development, version control (especially Git), and container orchestration concepts, often supported by a degree in computer science or a related field. Familiarity with CI/CD tools (such as Jenkins or ArgoCD), Kubernetes, and infrastructure-as-code systems is typically required, along with any relevant cloud certifications (like AWS Certified Cloud Practitioner). Strong problem-solving abilities, attention to detail, and effective communication are crucial soft skills for collaborating with teams and troubleshooting infrastructure issues. These skills are important to ensure the reliable automation and deployment of infrastructure changes, which are central to successful GitOps practices.

What are some typical challenges faced by entry level GitOps engineers when integrating new applications into an existing CI/CD pipeline?

Entry level GitOps engineers often encounter challenges such as managing diverse application configurations, ensuring consistent deployment workflows, and troubleshooting permissions or access issues within Kubernetes clusters. Collaborating with development and operations teams to align on best practices for version control and automation is also common. Proactively learning the organization's CI/CD tools and automation scripts, as well as seeking feedback from senior engineers, can help overcome these hurdles and build confidence in managing production deployments.
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Infographic showing various Entry Level Gitops Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $69,362 per year, or $33.3 per hour.

SRE Monitoring Platform Software Engineer (Early Career / Temporary)

Austin, TX โ€ข On-site, Remote

$105K - $155K/yr

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

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
Bitdeer is building an AI-operated GPU cloud - a global fleet of self-built and OEM-rented data centers running the world's most valuable compute, run by a platform that observes, protects, and operates the fleet. The SRE Platform team builds the monitoring and automation substrate that every other squad - storage, network, GPU, K8S, and L1 operators - depends on. Their signals become the system you help build.
As an entry-level Software Engineer on the SRE / Monitoring Platform team, you contribute to the NeoCloud SRE platform - the multi-region system that observes, protects, and operates a GPU rental fleet across self-built and OEM-rented data centers. You join a bounded context led by a senior engineer, take well-scoped components from design to production code that ships through GitOps + the CICD release pipeline, follows the Plugin Framework conventions, meets declared SLOs, and stays drift-free.
This is a build + learn role. You write code, write tests, and operate what you build under the guidance of a senior engineer. You participate in on-call as a shadow before taking primary. Within 12 months, you should be delivering components independently within your assigned area and growing toward owning a sub-context.
Key Responsibilities
    Where you'll contribute (guided by a senior engineer)
    • Collection + Storage - help build collection-agent, metrics-store / logs-store / traces-store / profiles-store, enrichment-service, collection-monitor. Write ingestion, query, and storage-path code.
    • Alert + Correlation + SLO - contribute to alert-engine-framework, alert-correlation, slo-framework; implement and tune default alert rules.
    • Topology + Cluster-Health - contribute to topology-service, cluster-health-rollup, OSS-SRE-tool collection plugins for K8s / Slurm / Ray / Volcano / Kueue / KubeRay.
    • Remediation + Workflow + Jobs - help build remediation-actuator, orchestration / workflow components, inspection probes, job-scheduler.
    • Observability instrumentation - instrument services with metrics, logs, and traces via OpenTelemetry; build dashboards; write runbooks an on-call can follow.
    • Test discipline - write unit / integration / contract tests for everything you ship; participate in chaos and soak tests led by senior engineers.

    Why this is a great first role
    • Greenfield with a well-defined vision. The Plugin Framework, GitOps pipeline, and SLO framework are decided; you build components inside them with a clear blueprint - not from a blank page.
    • You learn the full observability stack at production scale - ingest, query, storage - by building it, not just using it.
    • Mentorship-heavy. You work directly with senior and principal engineers who own the architecture; their expertise becomes your growth path.

Job Requirements
    • 0-2 years of software engineering experience (new graduates with strong projects or internships welcome).
    • Solid fundamentals in one programming language - Go (preferred), Python, Java, or Rust. You can write clean, tested, readable code and explain your design choices.
    • CS fundamentals - data structures, algorithms, concurrency, basic networking (TCP / HTTP), and operating-system concepts (processes, threads, I/O). You can reason about correctness and performance.
    • Distributed systems basics - you understand the ideas behind idempotency, retries, back-pressure, caching, and eventual consistency, even if you haven't operated them at scale yet. Eagerness to go deep.
    • Monitoring / observability exposure - some hands-on with Prometheus, Grafana, Loki, or similar; can write a basic PromQL query and instrument a service. Eagerness to learn the ingest, query, and storage path of a real observability stack.
    • Familiarity with Linux and the shell; comfort reading system logs and using standard debugging tools.
    • Kubernetes basics - understand Pods, Services, Deployments; have run something on K8s (a project, lab, or internship).
    • Git + CI basics - branching, pull requests, and have used a CI pipeline (GitHub Actions, GitLab CI, or similar).
    • Test discipline - you write unit and integration tests as a habit, not an afterthought.
    • Communication - clear written and verbal English; can write a good PR description and ask good questions.
    • Curiosity and a learning mindset - the most important qualifier. You're excited to learn GPU / AI infrastructure, AIOps, distributed systems, and observability at production scale.

Nice-to-Haves
    • Internship or project in monitoring / observability, telemetry pipelines, or platform / SRE tooling.
    • Exposure to GPU / AI-infra - DCGM, InfiniBand / RoCE, Kubernetes GPU Operator, Slurm / Ray. Interest counts more than depth.
    • Exposure to AIOps / ML-adjacent tooling (anomaly detection, alert correlation).
    • Contributions to open-source observability or cloud-native projects.

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.