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Salary: USD 130,000 - 190,000 / annual
project44 is a supply chain AI platform headquartered in Chicago with a second hub in Bengaluru. The company's Decision Intelligence Platform, Movement, transforms fragmented logistics data into real-time, AI-powered insights to help global supply chains operate more efficiently.
We are seeking a Senior DevOps Engineer to join our engineering team and work in a fast-paced Agile environment designing, building, and implementing best-in-class infrastructure to support our high-throughput, real-time data platform.
Key Responsibilities:
- Set technical direction for cloud infrastructure strategy across AWS/GCP, including compute, networking, storage, and Kubernetes-based container orchestration
- Design, build, and maintain highly available, fault-tolerant infrastructure supporting a high-throughput, real-time data platform
- Lead the evolution of CI/CD pipelines to improve deployment velocity, safety, and developer experience across dozens of engineering teams
- Own infrastructure-as-code standards (Terraform, Pulumi, or similar) and drive adoption of GitOps practices
- Champion observability and reliability practices — SLOs/SLIs, incident response, on-call processes, and postmortems — to reduce MTTR and prevent recurrence
- Partner with Security to embed guardrails for secrets management, network segmentation, vulnerability remediation, and compliance (SOC 2, ISO 27001, etc.)
- Mentor and provide technical leadership to mid-level and senior DevOps/SRE engineers; conduct design and code reviews
- Drive cost-optimization initiatives across cloud spend without compromising reliability or performance
- Act as an escalation point for major incidents, driving root-cause analysis and long-term remediation
- Evaluate and introduce new tools, platforms, and automation to continuously modernize the infrastructure stack
Requirements:
- 6+ years of experience in DevOps, Site Reliability Engineering, or Infrastructure Engineering roles, including experience leading technical initiatives
- Deep expertise with a major cloud provider (AWS preferred; GCP or Azure also relevant) and container orchestration (Kubernetes, ECS, or similar)
- Strong hands-on experience with infrastructure-as-code (Terraform, CloudFormation, or Pulumi) and configuration management tools
- Proven track record building and scaling CI/CD pipelines (e.g., Jenkins, GitHub Actions, GitLab CI, CircleCI, ArgoCD)
- Solid scripting/programming ability in Python, Go, or Bash for automation and tooling
- Experience building and operating complex distributed systems
- Proficiency in high-level scripting languages such as Python or Groovy
- Experience developing solutions leveraging Docker
- Experience managing Linux (Ubuntu) systems
- Configuration management experience with Ansible or Terraform
- Building/implementing monitoring for network, server, application, and database layers
- Experience with monitoring tools such as Zabbix, Nagios, Grafana, CloudWatch
- Experience with APM tools such as New Relic, AppDynamics, Datadog, Runscope
- Experience with log aggregation systems using Logstash and Elasticsearch
- Continuous integration, testing, and deployment using git, Jenkins
- Experience with relational databases (Postgres)
- Must be authorized to work in the US without current or future employer-sponsored visa support
