Note: The job is a remote job and is open to candidates in USA. Loadsmart is a growth-stage logistics technology company using innovative technology to reinvent the future of freight. The SRE, Tech Lead will build and maintain the internal platform, drive operational excellence, and empower engineering teams by designing, deploying, and operating reliable systems. The role will lead reliability projects, perform troubleshooting and root-cause analysis, and provide hands-on infrastructure and platform support.
Responsibilities
- Collaborate with and support our creative, tight-knit development team
- Design, deploy, and operate Loadsmart's critical systems while balancing reliability, cost, and agility
- Play a key role in driving reliability projects with engineering teams
- Utilize your intuitive problem-solving skills and contagious positive attitude to tackle challenging and exciting issues, inspiring those around you
- Collect metrics and understand their business impact, encouraging the team to do the same
- Perform troubleshooting and root-cause analysis of system operation issues
- Be accountable for the platform's Service Level Agreements and Objectives
- Provide infrastructure support during off-hours as needed
- Take ownership of software infrastructure projects
- Seek, give, and receive constructive feedback through code and specification reviews
- Familiarity with AI agents and agentic workflows, applying AI across the SDLC (AI-assisted coding), LLMs, MCP servers/gateways, and how emerging AI tooling can improve reliability and operations is a plus
Skills
- 1-3 years leading Reliability Work across multiple engineering squads
- Over 5 years of experience in Cloud Computing, SRE/DevOps
- Proven experience collaborating with internal stakeholders across multiple engineering squads
- Strong project management skills with a demonstrated ability to delegate and mentor team members
- Proficient in English communication (both written and spoken) to collaborate in an international team with native and non-native English speakers
- Detail-oriented with high initiative and self-motivation
- Strong understanding of software engineering principles and how systems work under the hood
- In-depth knowledge of modern networking and operating systems
- Proficiency in AWS, cloud environments, containers, Kubernetes, Docker, and DevOps engineering, including managing tests and CI/CD pipelines
- Familiarity with automation tools and provisioners like Terraform, Ansible, or Chef
- Solid troubleshooting and system engineering experience in UNIX/Linux production environments
- Experience with monitoring, alerting, and incident management
- Proficiency in automating tasks with scripting languages like Python, Bash, etc
- Fluent in English (both written and spoken); comfortable interacting with native English speakers daily
- Familiarity with AI agents and agentic workflows, applying AI across the SDLC (AI-assisted coding), LLMs, MCP servers/gateways, and how emerging AI tooling can improve reliability and operations is a plus
- Experience or exposure to PostgreSQL and DBA responsibilities is a plus
Benefits
- Extremely competitive Equity package - become a shareholder in our company!
- Loadie Time Off - PTO and sick days without a limit
Company Overview
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