What you'll do:We are hiring a Senior Software Engineer to own the design, implementation, and operation of microservices running in Kubernetes and other cloud-scalable, highly available environments. In this role you will build and run the production systems that power Zefr's platform at scale, and you will use AI fluently - for coding, research, and problem-solving - as a core part of how you work. Success in this position looks like a self-starter who takes ambiguous problems from design through production, operates what they build, and raises the engineering bar for the team through strong collaboration and clear communication.
- 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.
Languages: Python Data stores: Snowflake, Elastic Search, PostgreSQL Data processing: Apache Kafka, Dask, Pandas DevOps: Github Actions, Docker, Terraform, Kubernetes, ArgoCD, AWS/GCP
What we're looking for:- 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 (for US based employees):- 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!)
Compensation (for US based employees):The anticipated salary for this position is between $180K and $200K. Within the range, individual pay is determined by factors such as job-related skills, experience, and relevant education or training. If your compensation expectations fall outside of this range, it may still be worth having a conversation.
