Infrastructure Engineer
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Before you apply
LocationGeorgian office
Typefull-time
SeniorityMid
Experience3+ yrs
DepartmentProduction
Company size2+ people
PostedJun 19, 2026 · 4mo ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Minimum 3 years of hands-on Linux system administration experience
Minimum 2 years of hands-on experience with AWS in a production environment
Working familiarity with Kubernetes – able to operate workloads, read logs, and perform standard actions by following playbooks
Working familiarity with AWS Databricks – able to run jobs, manage clusters, and troubleshoot using existing playbooks
Practical experience using AI agents/LLM-based tooling 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
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
Exposure to GCP or Azure in addition to AWS
Skills
Linux
AWS
Kubernetes
Databricks
Python
Bash
Go
Jenkins
GitHub Actions
GitLab CI
Git
Docker
Terraform
Ansible
CloudFormation
Prometheus
Grafana
ELK
Loki
Datadog
CloudWatch
IAM
KMS
Secrets Manager
HashiCorp Vault
PostgreSQL
MySQL
Redis
Spark
PySpark
MCP
Claude
ChatGPT
Cursor
Copilot
Zendesk
Slack
Benefits
Social benefits package
Equipment
English lesson
Gym membership
Flexible vacation time
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
Requirements
Necessary Qualifications:
• Minimum 3 years of hands-on Linux system administration experience (required)
• Minimum 2 year 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.
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