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DevOps Engineer

At Foodsmart · Remote (US)

Salary: US$180,000–190,000 a year

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Posted
30 October 2026
First seen by us
31 October 2026
Last checked
19 hours ago

Job description

From Foodsmart’s job post, as they wrote it.

You will
You will manage and scale cloud infrastructure on AWS in a Linux-based environment, bringing 6+ years of expertise in DevOps, Site Reliability Engineering, or similar roles. You will partner with development teams, cross-functional teams, and cross-org stakeholders to provide day-to-day support on DevOps activities, including environment setup, build/deployment troubleshooting, and CI/CD pipeline optimization. You will develop backend systems with strong proficiency in TypeScript, Java, Python, Node.js, and SQL-based RDBMS such as PostgreSQL or MySQL, leveraging CDK (AWS Cloud Development Kit). You will automate and manage cloud infrastructure using Infrastructure as Code (IaC) with AWS CloudFormation implemented through AWS CDK (TypeScript). You will design, build, and maintain CI/CD pipelines using AWS CodePipeline and GitHub Actions to enable frequent and reliable software delivery. You will implement observability and monitoring solutions such as Datadog, New Relic, or equivalent, proactively identifying and resolving performance bottlenecks and system anomalies. You will apply Site Reliability Engineering (SRE) practices to ensure high availability, scalability, performance, and incident response across production environments. You will debug and troubleshoot issues across application layers, operating systems, and cloud infrastructure components. You will collaborate effectively with engineering, product, and support teams—both internally and externally—demonstrating excellent communication and partnership skills.

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You are
Proactive: You take ownership of tasks and are quick to identify and address issues, especially in high-pressure situations. Collaborative: You enjoy working with cross-functional teams and communicating clearly with both internal teams and external partners. Security-minded: You understand the importance of security in managing credentials, file transfers, and infrastructure, and you take steps to protect sensitive information. Detail-Oriented: You ensure that all file transfer accounts are well-documented and secure, and you track system issues to avoid future disruptions. Problem-Solver: You are resourceful and skilled at diagnosing and resolving complex issues related to file transfer workflows and system performance. Adaptable: You thrive in a fast-paced environment and are comfortable managing multiple tasks simultaneously.

You have
6+ years of experience in DevOps, Site Reliability Engineering, or a similar role, with deep expertise in managing and scaling cloud infrastructure on AWS in a Linux-based environment using CDK (AWS Cloud Development Kit). 3+ years of experience in backend development, with strong proficiency in TypeScript, Java, Python, Node.js, and SQL-based RDBMS such as PostgreSQL or MySQL. Proven experience in infrastructure automation and infrastructure as code (IaC) using tools like Cloud Formation, Terraform, Ansible, or similar technologies. Hands-on experience building and maintaining CI/CD pipelines (e.g., GitHub Actions, GitLab CI, CircleCI) to support frequent, reliable software delivery. Proficient in using observability and monitoring tools such as Datadog, New Relic, or equivalent—capable of proactively identifying and resolving performance bottlenecks or system anomalies. Demonstrated success in Site Reliability Engineering (SRE) practices: ensuring high availability, scalability, performance, and incident response across production environments. Strong debugging and troubleshooting skills across application layers, operating systems, and cloud infrastructure components. Excellent collaboration and communication skills, with the ability to partner effectively with engineering, product, and support teams—both internally and externally.

Role: DevOps Engineer
Location: Remote, US
Base Salary Range: $180,000-$190,000
Our salary ranges are determined by role, level, and location. Individual pay is determined by work location, job-related skills, experience, and relevant education or training.

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