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Remote Python Llm Jobs in Elk Grove, CA (NOW HIRING)

Gluware, Inc

Senior DevOps Engineer

Sacramento, CA · Remote

$138K - $178K/yr

Gluware is headquartered in Sacramento CA but our workforce is predominantly remote. This role is ... Typescript, Python, Bash, Ruby, or Go * Proficient with build management using nx + pnpm, maven ...

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Remote Python Llm information

See Elk Grove, CA salary details

$13

$61

$90

How much do remote python llm jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for remote python llm in Elk Grove, CA is $61.63, according to ZipRecruiter salary data. Most workers in this role earn between $50.82 and $70.00 per hour, depending on experience, location, and employer.

What remote jobs can you get with Python?

Remote Python jobs include roles such as software developer, data analyst, machine learning engineer, and automation engineer. These positions often require proficiency in Python programming, familiarity with frameworks like Django or Flask, and experience with cloud platforms or version control tools. Many of these jobs offer flexible schedules and can be performed from any location with internet access.

Will AI replace Python devs?

Remote Python developers are unlikely to be fully replaced by AI, as their role involves complex problem-solving, coding, and adapting to new requirements that AI tools currently cannot fully replicate. AI can assist by automating repetitive tasks and improving productivity, but human oversight and expertise remain essential for software development. Staying updated with new tools and skills can help Python developers remain valuable in an evolving tech environment.

What is a Remote Python LLM job?

A Remote Python LLM job typically involves working with large language models (LLMs) like GPT or similar AI technologies using the Python programming language, while operating remotely. Professionals in this role develop, fine-tune, and deploy machine learning models, especially those focused on natural language processing (NLP) tasks. Responsibilities may include building Python applications that integrate with LLMs, data preprocessing, and collaborating with teams across different locations. The remote aspect allows for flexible work arrangements and access to global opportunities.

What are some common collaboration methods used by Remote Python LLM engineers when working with cross-functional teams?

Remote Python LLM engineers frequently collaborate with data scientists, product managers, and other developers through virtual meetings, code reviews, and shared documentation platforms. Tools like Slack, GitHub, and Jira are often used to ensure smooth communication and project tracking, despite working across different time zones. Regular stand-ups and sprint planning sessions help align objectives and keep everyone updated on progress. Proactive communication and clear documentation are key to overcoming the challenges of remote, distributed teamwork in this role.

Is Python used in LLM?

Yes, Python is widely used in developing large language models (LLMs) and is a key skill for remote Python LLM roles. It provides extensive libraries and frameworks such as TensorFlow and PyTorch that facilitate model training, fine-tuning, and deployment.

What are the key skills and qualifications needed to thrive as a Remote Python LLM Engineer, and why are they important?

To thrive as a Remote Python LLM Engineer, you need strong proficiency in Python programming, experience with large language models (LLMs), and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms, and version control systems like Git is typically required. Excellent problem-solving abilities, self-motivation, and effective communication are crucial soft skills for remote collaboration and troubleshooting. These skills ensure you can develop, deploy, and maintain advanced language models efficiently while working independently in distributed teams.

Which LLM is good for Python coding?

For a Remote Python Llm role, models like OpenAI's GPT-4 and GPT-3.4 are widely used for Python coding due to their strong language understanding and code generation capabilities. Additionally, open-source models such as Meta's Llama 2 and EleutherAI's GPT-NeoX can be fine-tuned for specific coding tasks, making them suitable options for development environments requiring customization. Proficiency in integrating these models with APIs and understanding their limitations is essential for effective Python coding assistance.
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Remote Python Llm jobs near you
Senior DevOps Engineer

Senior DevOps Engineer

Gluware, Inc

Sacramento, CA • Remote

$138K - $178K/yr

Full-time

Re-posted 17 days ago

Job description

Senior DevOps Engineer

Gluware (US)

About Gluware

Gluware is the intelligent network automation industry leader, powering self-operating enterprise networking for Global 2000 companies across finance, healthcare, pharma, energy, and more. Our platform helps the world's largest enterprises prevent critical network outages, maintain compliance, and keep pace with ever-changing business requirements - through a multi-vendor, multi-platform, intent-based approach that requires no custom scripting.

Our solutions span the full network automation lifecycle: Discovery & Inventory, OS Manager, Config Model Editor, Config Drift & Audit, Network RPA, Topology, Workflows, and more - all backed by DIAL (our Device Interaction and Automation Layer). We're also actively building Gluware.ai
and Gluware Titan, bringing AI natively into network automation workflows.

We offer a competitive salary and benefits package, real growth opportunities, and a team that genuinely enjoys the work. Gluware is headquartered in Sacramento CA but our workforce is predominantly remote. This role is open to applicants across the United States. Come help us push enterprise networking forward.

Role Summary

As a Senior DevOps Engineer and member of the DevOps team, you will own the infrastructure, CI/CD pipelines, release process, and multi-cloud operations that keep Gluware's platform reliable and scalable for Global 2000 customers. You will partner closely with Engineering, QA, and Product to drive automation-first practices across cloud and datacenter environments, while championing security, observability, and developer experience across the organization.

Core Responsibilities

Infrastructure & Cloud Operations

  • Own design, provisioning, and day-to-day operations of multi-cloud infrastructure (AWS primary, Azure secondary) using IaC tools - Terraform and/or CloudFormation
  • Manage VPC architecture, multi-region deployments, peering, and disaster recovery automation
  • Maintain and evolve container orchestration (Kubernetes / EKS) and container image pipelines
  • Drive cloud cost optimization, capacity planning, and right-sizing initiatives

CI/CD & Release Engineering

  • Own and continuously improve the end-to-end CI/CD pipeline (Jenkins or equivalent)
  • Own and optimize release automation across dev, integration, staging, and production environments
  • Champion GitOps practices and automated deployment strategies (blue/green, canary)
  • Manage artifact repositories (Artifactory) and dependency scanning

Platform Reliability & Observability

  • Establish and maintain SLOs/SLAs; lead incident response, blameless post-mortems, and reliability improvements
  • Build and manage observability stack: metrics (Prometheus/Grafana or Datadog), logging (ELK/OpenSearch), and distributed tracing
  • Evolve on-call processes and runbooks to reduce MTTR

Security & Compliance

  • Assess and address vulnerabilities and integrate security tooling into pipelines (SAST, DAST, container scanning, secrets management via Vault or AWS Secrets Manager)
  • Maintain SOC 2 compliance posture; participate in audits and evidence collection
  • Manage access controls (LDAP and RBAC) across build tooling
  • Maintain source code escrow

Developer Enablement

  • Maintain and improve internal developer tooling, local dev environments, and self-service infrastructure capabilities
  • Collaborate with Engineering to define and enforce platform standards and best practices
  • Document architecture decisions and runbooks

Required Qualifications

  • 5+ years of DevOps, SRE, or Platform Engineering experience in a product company
  • Extensive experience with configuration management (Ansible or Chef preferred
  • Deep hands-on AWS experience (EC2, EKS/ECS, RDS, S3, Lambda, CloudFormation, VPC, Route 53, IAM); Azure a plus
  • Strong IaC skills with Terraform (preferred) or Pulumi, CloudFormation, and packer
  • Solid CI/CD pipeline experience -Jenkins, GitHub Actions, GitLab or equivalent; trunk-based development and deployment automation
  • Proficiency in at least one scripting/automation language: Typescript, Python, Bash, Ruby, or Go
  • Proficient with build management using nx + pnpm, maven, gradle
  • Hands-on container platform experience: Docker, Kubernetes (EKS or self-managed)
  • Strong Linux system administration and shell scripting skills
  • Solid networking fundamentals (DNS, load balancing, VPNs, VPC peering, security groups, firewalls)
  • Experience operating and improving observability stacks in production environments
  • Bachelor's degree in computer science, Information Technology, or equivalent hands-on experience

Nice To Have

  • GitOps tooling familiarity (ArgoCD, Flux)
  • Experience with bazel
  • Experience with service mesh (Istio, Linkerd) or API gateway patterns
  • Knowledge of networking vendor ecosystems (Cisco, Juniper, Arista) - Gluware orchestrates these environments
  • Hands-on experience with AI/ML infrastructure or LLM-assisted DevOps workflows
  • AWS Certified DevOps Engineer - Professional, CKA/CKAD, or equivalent certification
  • Familiarity with Java, JavaScript, and Node.js (the languages our product is built on)
  • Experience in a compliance-regulated SaaS environment (SOC 2, ISO 27001, or FedRAMP)
  • Experience

What We Offer

  • Competitive salary and comprehensive benefits
  • Meaningful equity - join a high-growth company at a compelling inflection point
  • Remote-friendly culture with a collaborative, low-ego engineering team
  • Real ownership: you will shape infrastructure decisions, not just execute tickets
  • The chance to work at the intersection of enterprise networking and cutting-edge AI automation

Interested? Please apply online at www.gluware.com/jobs

Gluware is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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