Senior Software Engineer

Zefr

Senior Software Engineer owning the design and implementation of microservices for AI-powered content classifications. Collaborating with teams to maximize performance and quality on various platforms.

Posted 7/23/2026full-timeMarina del Rey • California • 🇺🇸 United StatesSenior💰 $180,000 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing microservices within Kubernetes and cloud environments, ensuring high availability and reliability. Proficient in utilizing AI tools for coding and research, while effectively collaborating with cross-functional teams and mentoring peers.

Highest-signal resume keywords

Microservices Design and ImplementationKubernetes and Cloud EnvironmentsAI-Assisted Development PracticesDistributed Systems and API DesignStrong Collaboration and Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

MicroservicesKubernetesCloud EnvironmentsAI Tools for CodingDistributed SystemsAPI DesignData StructuresAlgorithmsSoftware DesignTesting and Code Review Standards

Soft Skills

Collaboration SkillsVerbal Communication SkillsWritten Communication SkillsProblem Identification and Solution ProposingSelf-Starter

Tools & Technologies

GCPAWSAzureClaude CodeCopilotCursorLLMsMCPAgent-GatewayAgentic Infrastructure

Certifications & Qualifications

Bachelor's Degree in Computer ScienceMaster's Degree in Computer Science

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsGoogle Cloud PlatformKubernetesMicroservices

About the role

Key responsibilities & impact

Own the design and implementation of microservices, and run and operate them in Kubernetes and other cloud-scalable, highly available environments.
Design systems for scale, reliability, and high availability, and take accountability for the operational health of owned services, including observability, alerting, and incident response.
Use AI tools for coding and research as a daily part of the engineering workflow, and help the team adopt effective AI-assisted development practices.
Collaborate with product, ML, and infrastructure teams to translate requirements into robust technical designs.
Contribute to architectural decisions, design reviews, and engineering standards across the platform.
Mentor other engineers and communicate technical direction clearly to technical and non-technical stakeholders.

Requirements

What you’ll need

Bachelor's or Master's degree in Computer Science or related field with 5+ years of professional software engineering experience
Deep hands-on experience designing, building, running, and operating microservices in Kubernetes and cloud environments (GCP, AWS, or Azure)
Proficiency using AI for coding and research as a daily productivity multiplier (e.g., Claude Code, Copilot, Cursor)
Strong foundation in distributed systems, API design, data structures, algorithms, and software design
Thorough testing and code review standards/practices
Self-starter who identifies problems, proposes solutions, and drives them to completion with minimal direction
Strong collaboration skills and strong verbal and written communication skills
Big plus: proficiency with LLMs, MCP (Model Context Protocol), agent-gateway, and agentic infrastructure

Benefits

Comp & perks

Flexible PTO
Medical, dental, and vision insurance with FSA options
Company-paid life insurance
Paid parental leave
401(k) with company match
Professional development opportunities
10+ paid holidays off
Summer Fridays (we leave early)
Hybrid work: 2 days in our Marina del Rey office, 3 days remote
In-office lunches and lots of free food
Optional in-person and virtual events (we like to celebrate!)