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Grok Jobs in Georgia (NOW HIRING)

Semrush

$98K - $127K/yr

Cost-efficiency at scale is a core engineering challenge - we continuously benchmark and switch between LLM providers (OpenAI, Gemini, Mistral, Grok, Nebius, Claude) to balance quality and spend.

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Grok information

What is a Grok?

Grok is an advanced AI chatbot developed by xAI, a company founded by Elon Musk. It is designed to interact with users in a conversational manner and can answer questions, provide information, and assist with a variety of tasks. Grok is unique in its ability to access real-time data and respond with a sense of humor, making it both informative and engaging. It is currently integrated with X (formerly Twitter) and is available to select users through the X Premium+ subscription. Grok aims to make information more accessible and fun for everyone.

What are the key skills and qualifications needed to thrive as a Grok, and why are they important?

I'm sorry, but 'Grok' is not a recognized real-world professional occupation and therefore I cannot generate a response for it.

How does a Grok engineer typically collaborate with cross-functional teams during product development?

A Grok engineer frequently works alongside product managers, data scientists, and UX/UI designers to ensure that AI-powered features align with user needs and business goals. Collaboration often involves participating in regular sprint meetings, sharing progress updates, and integrating feedback from various stakeholders. This interdisciplinary environment encourages proactive communication and problem-solving, helping to deliver robust and innovative solutions. Effective teamwork is essential, as it ensures the seamless deployment and ongoing improvement of Grok-based technologies.

What is the difference between Grok vs Data Analyst?

AspectGrokData Analyst
Required CredentialsTypically no formal degree, focus on technical skillsBachelor's degree in data science, statistics, or related field
Work EnvironmentTech companies, startups, data-driven teamsCorporate, consulting firms, finance, healthcare
Employer & Industry UsageTech and data-centric industriesVarious industries including finance, marketing, healthcare
Common Search & Comparison IntentUnderstanding roles in data techCareer options, job responsibilities

Grok professionals focus on understanding and working with data using technical skills, often without formal degrees. Data Analysts typically have formal education and analyze data to inform business decisions. While both roles work with data, Grok is more tech-centric, whereas Data Analysts are more involved in interpreting data for strategic insights.

What are popular job titles related to Grok jobs in Georgia?

For Grok jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Grok jobs in Georgia look for?

The top searched job categories for Grok jobs in Georgia are:

What cities in Georgia are hiring for Grok jobs?

Cities in Georgia with the most Grok job openings:

Grok jobs near you
Infographic showing various Grok job openings in Georgia as of August 2026, with employment types broken down into 100% Full Time. Highlights an 84% In-person, and 16% Remote job distribution.

Principal Elastic Platform Owner & Onsite Leader

Atlanta, GA • On-site

Softility
IT Services • 51 - 200 employees
Learn more about Softilityexternal

$120 - $160/hr

Other

Posted 7 days ago

Job description

Employment Type : Full-time

Experience : 10+ Years

Required Skills :

Technical Skills

  • Elastic Expert : 5+ years of production experience with the Elastic Stack (Elasticsearch, Kibana, Logstash, Beats).
  • Kubernetes Mastery : 3+ years managing Elastic Cloud on Kubernetes (ECK) or similar operators on enterprise K8s distributions (Anthos, GKE, or EKS).
  • Ingest & Pipelines: Deep knowledge of log ingest architectures, index templates, sharding strategies, and cluster tuning.

Leadership & Experience

  • Onsite Leadership : Proven ability to run day-to-day operations, manage technical rosters, and lead cross-functional troubleshooting sessions.
  • Enterprise Scale : Experience supporting large-scale platforms (e.g., ETL jobs, microservices, anomaly detection) in a complex corporate environment.
  • Incident Management : Familiarity with SRE practices, including incident response (P1-P3), MTTR tracking, and root cause analysis.

Preferred Skills

  • Experience with Infrastructure-as-Code (Terraform, Helm) and CI/CD pipelines (Jenkins, GitLab).
  • Knowledge of migration strategies between legacy logging platforms (e.g., Splunk) and Elastic.
Responsibilities Platform Architecture & Onsite Leadership
  • Onsite Operational Lead : Act as the primary point of contact for platform stability. Manage daily stand‑ups, prioritize the engineering backlog, and coordinate between offshore and onsite teams.
  • Architecture & Reliability : Own the Elastic Stack (Elasticsearch, Kibana, Ingest components) deployed on Elastic Cloud on Kubernetes (ECK).
  • Capacity Planning : Design cluster topology (nodes, roles, zones) and manage resource quotas (CPU, Heap, Disk) to ensure cost‑efficiency and performance.
  • SLO Management : Define and track Service Level Objectives (SLOs) for ingestion latency, search availability, and data retention.
Logging Strategy & Data Modeling
  • Standardization : Define enterprise logging and index templates, including field conventions (service, environment, tenant, correlation IDs) to ensure reliable event correlation across the observability stack.
  • Schema Design : Work with application teams to implement standardized mappings and Index Lifecycle Management (ILM) policies (Hot/Warm/Cold tiers, rollover, and retention).
  • Data Quality : Own ingest patterns using Filebeat, Fluent Bit, Logstash, or Elastic Agent. Design parsing pipelines (JSON, Grok), enrichment logic, and dead‑letter queue strategies.
Kubernetes & Infrastructure Operations
  • Cluster Management : Oversee daily health across Kubernetes‑based clusters (e.g., Anthos/GKE). Resolve pod‑level issues such as CrashLoopBackOffs, memory spikes, and disk usage alerts.
  • Storage Operations : Lead the management and migration of Persistent Volume Claims (PVCs) for stateful sets, ensuring high availability during infrastructure upgrades.
  • Security & Governance : Implement RBAC for indices and Kibana spaces. Enforce data governance and retention policies based on data classification (Infra logs vs. App logs vs. Sensitive data).
Observability & Enablement
  • Self‑Service Enablement : Deliver Kibana dashboards and "Golden Queries" to support SRE and NOC teams in rapid incident triaging.
  • Documentation & Runbooks : Author and maintain operational runbooks, disaster recovery scenarios, and "Self‑Help" guides for onboarding new log sources.
  • Mentorship : Provide technical guidance and training sessions for platform engineers and application developers on effective search and logging practices.
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