Infrastructure Engineer

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.

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

• 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

• 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

• 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