Infrastructure Engineer

Lineate; Georgia; On-site; USD 90,000 - 150,000; Full time

Benefits offered by this job

Freedom to develop

Career path

Benefits package

Equipment provided

English lessons

Gym membership

Global team

Flexible vacation

Events

Job summary

Lineate is seeking an Infrastructure Engineer to ensure reliability, security, and continuous improvement of customer infrastructure across cloud and on-prem environments. The role blends hands-on SRE/DevOps work with production support and tooling enhancements, including AI agents to automate routine tasks.

The engineer will operate independently on most tasks, drive automation, and contribute to CI/CD pipelines and observability improvements while maintaining strong security practices.

Qualifications

• Minimum 3 years of hands-on Linux system administration experience (required).
• Minimum 2 years of hands-on experience with AWS in a production environment (required).
• Working familiarity with Kubernetes — operate workloads, read logs, follow playbooks.
• Working familiarity with AWS Databricks — run jobs, manage clusters using playbooks.
• Practical experience using AI agents / LLM-based tooling to automate tasks.
• At least 1 year of Windows system administration experience.
• Scripting skills in Python, Bash, or Go (1+ years).
• Ability to maintain CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, etc.).
• Proficiency with Git and standard version-control workflows.
• Hands-on experience with Docker and container workflows.
• Experience managing production IT infrastructure.
• Comfortable with a broad range of open-source tools.

Responsibilities

• Participate in a 24/7 shift schedule.
• Monitor systems and respond to automated alerts per SLAs.
• Diagnose and resolve system problems.
• Operate Kubernetes workloads and Databricks resources following runbooks.
• Perform routine Linux/Windows system administration.
• Respond to customer inquiries via Slack, email, or Zendesk.
• Document, categorize, and prioritize support requests.
• Communicate status of requests to customers.
• Identify automation opportunities including AI-driven runbooks.
• Lead incident resolution and post-incident reviews.
• Maintain and improve runbooks, playbooks, FAQs, and docs.
• Improve observability: metrics, logs, dashboards, alerts, SLO tracking.
• Contribute to CI/CD pipelines and basic infra automation.
• Follow IAM and least-privilege security practices.
• Participate in improving support and infra processes.

Skills

Linux

AWS

Kubernetes

Databricks

Python

Scripting

CI/CD

Git

Docker

AI automation

Windows admin

Observability

Tools

Jenkins

GitHub Actions

GitLab CI

Terraform

Ansible

CloudFormation

Prometheus

Grafana

Datadog

CloudWatch

Job description

About Lineate

Lineate is a US-based international software development company with over two decades of experience.

From Intelligent Document Processing(IDP) and Agentic RAG systems to scalable cloud architectures, we turn complex ideas into real, measurable results.

We deliver AI-driven custom solutions for FinTech, HealthTech, AdTech, and beyond, empowering businesses to grow smarter, faster, and more efficiently.

Our expertise falls into three main categories:

• Building Custom AI Solutions: Deploying high-impact, AI-enabled technology utilizing IDP, Agentic RAG.
• Cloud and Data Infrastructure: Optimizing business operations with our data management and cloud computing solutions.
• Team Augmentation: Providing specialized experts in FinTech, AdTech, and HealthTech to integrate seamlessly and accelerate project timelines.
• Our goal is not just to build technology, but to build the future operating model for our clients.

Role Summary

The Infrastructure Engineer is responsible for the reliability, security, and continuous improvement of Lineate and customer infrastructure across cloud and on-prem environments. The role combines hands-on SRE/DevOps work - automation, observability, incident response - with support engineering for production systems. The engineer is expected to operate independently on most tasks, and drive infrastructure and tooling improvements, including the use of AI agents to automate routine operational work.

Accountable for

• Reliability, availability, and performance of Lineate and customer production systems in accordance with agreed SLOs and support SLAs
• Design, automation, and continuous improvement of cloud and on-prem infrastructure
• Timely and high-quality response to incidents and escalated support requests
• Security, compliance, and cost-efficiency of the infrastructure under the team's ownership
• Day-to-day operations of the infrastructure owned by the team

Main Responsibilities

• Participate in a 24/7 shift schedule
• Monitor systems and respond to automated alerts in line with Lineate support SLAs
• Diagnose and resolve system problems
• Operate Kubernetes workloads and Databricks resources by following team playbooks and runbooks
• Perform routine system administration on Linux and Windows servers
• Respond promptly and professionally to customer inquiries via Slack, email, or Zendesk
• Document, categorize, and prioritize incoming support requests
• Communicate the status of open requests clearly and regularly to customers
• Identify and implement automation opportunities, including AI-agent-driven automation of routine operational tasks (ticket triage, runbook execution, log analysis, knowledge-base maintenance)
• Drive incident resolution by coordinating triage, implementing mitigation measures, conducting root cause analysis, and leading post-incident reviews
• Maintain and improve runbooks, playbooks, FAQs, and internal knowledge bases
• Implement and improve observability: metrics, logs, traces, dashboards, alerting, and SLO tracking
• Contribute to CI/CD pipelines and basic infrastructure automation
• Follow basic information security practices (IAM, secrets handling, least privilege)
• Participate in the improvement of support and infrastructure processes

Necessary Qualification s:

• Minimum 3 years of hands-on Linux system administration experience (required)
• Minimum 2 years of hands-on experience with AWS in a production environment (required)
• Working familiarity with Kubernetes — able to operate workloads, read logs, and perform standard actions by following playbooks (deep cluster-design expertise not required)
• Working familiarity with AWS Databricks — able to run jobs, manage clusters, and troubleshoot using existing playbooks (deep platform expertise not required)
• Practical experience using AI agents / LLM-based tooling (e.g., Claude, ChatGPT, MCP-based agents, Cursor, Copilot) to automate operational, scripting, or support tasks
• At least 1 year of Windows system administration experience
• Practical scripting skills in at least one of Python, Bash, Go (1+ years of practical use)
• Ability to maintain existing pipelines in CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, or equivalent
• Proficiency with Git and standard version-control workflows
• Hands-on experience with Docker and container workflows
• Experience managing and maintaining production IT infrastructure
• Comfortable working with a broad range of open-source technologies and tools

Preferred:

• Infrastructure as Code: Terraform (preferred), Ansible, or CloudFormation
• Observability stack: Prometheus, Grafana, ELK/Loki, Datadog, CloudWatch, or equivalent—including building dashboards and alerts
• Networking fundamentals: TCP/IP, DNS, HTTP(S), TLS, VPN, load balancers, VPC design ,basic firewall and routing
• Cloud security: IAM, KMS, secrets management (AWS Secrets Manager, HashiCorp Vault), least-privilege design, audit logging
• Database operations: PostgreSQL, MySQL, or Redis — backups, restores, basic tuning, monitoring
• Incident management practices: on-call rotations, runbooks, SLI/SLO/SLA, blameless postmortems
• Familiarity with data-platform concepts: Spark/PySpark basics, ETL pipelines (in the context of Databricks)
• Experience writing and maintaining MCP servers, prompt-based automations, or AI-driven runbooks is a plus
• Exposure to GCP or Azure in addition to AWS

We offer

• Freedom to Develop - equal opportunity to learn and grow professionally
• Clear career and professional path, strong performance management system
• Social Benefits Package
• Equipment
• English lesson
• Gym membership
• All the advantages of working in an international IT company
• Flexible vacation time
• Fun and inclusive in-person and digital events

Lineate is proud to be an Equal Opportunity Employer - We do not hire on the basis of race, colour, religion, creed, gender, national origin, citizenship, age, disability, veteran status, marital status, pregnancy, parental status, sex, gender expression or identity, sexual orientation, or any other basis protected by Georgian legislation. All employment is decided based on qualifications, merit, and business need. Learn more about Lineate at our website: www.lineate.