Software Engineer II – Cloud-Native Agent Harness

Stacklok

. Build and deliver features across Mecatl, including the agent loop, tool and permission systems, session and state management, Kubernetes runtime, and client SDKs .

Posted 11/3/2026full-timeRemote • United StatesMid-LevelSenior💰 $157,500 - $192,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Proficient in Go programming and capable of writing clean, testable code while managing edge cases and error handling. Experienced in developing features independently within cloud-native infrastructure, particularly with Kubernetes and distributed systems.

Highest-signal resume keywords

Proficiency In GoKubernetes KnowledgeDistributed Systems ExperienceAI-Assisted Development WorkflowCode Review Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Clean Code WritingTestable Code DevelopmentEdge Case HandlingFeature DeliveryDesign Document Production

Soft Skills

Excellent Written CommunicationExcellent Verbal CommunicationSelf-Directed Approach

Tools & Technologies

KubernetesGRPCHTTPContainers

Industry Keywords

Cloud-Native InfrastructureAgent InfrastructureOpen Source Community AdoptionSecurity Judgment

Tech Stack

Tools & technologies

CloudDistributed SystemsGRPCKubernetesOpen SourceGo

About the role

Key responsibilities & impact

Build and deliver features across Mecatl, including the agent loop, tool and permission systems, session and state management, Kubernetes runtime, and client SDKs
Fix bugs and harden the harness for production use, improving reliability, security, and observability
Write readable, testable code with edge-case and error-handling coverage
Produce clear design documents and review pull requests, including AI-assisted changes
Partner with the team anchor to understand outcomes and break down work
Escalate decisions to product or staff engineers as needed
Use AI agents in the development workflow, critically reviewing, testing, and owning their output
Experiment to improve AI workflows and share structured findings with the team
Apply security judgment to permissions, secrets handling, untrusted content, and agent trust boundaries
Contribute to open source community adoption and help users get more from Mecatl

Requirements

What you’ll need

Proficiency in Go
Ability to write clean, testable code accounting for edge cases and error handling
Ability to produce clear design docs and conduct thoughtful code reviews
Demonstrated ability to deliver features independently across a backend or platform codebase, from implementation through testing and into a release
Working knowledge of distributed systems and cloud-native infrastructure, including Kubernetes, containers, and service APIs such as gRPC or HTTP
Personal AI-assisted development workflow with awareness of its benefits, limitations, and risks such as prompt injection and excessive agent permissions
Interest in agent infrastructure, including agent loops, tool use, MCP, model providers, or evaluation
Excellent written and verbal communication
Self-directed, hands-on approach suited to fast-moving, ambiguous startup environments

Benefits

Comp & perks

Equity
Comprehensive medical, dental, and vision coverage
Flexible PTO
Paid holidays
Paid parental leave
Team offsites to collaborate and connect in person
Flexible hybrid or remote work environment