Senior Site Reliability Engineer, Replicant
+ equity
Call center AI chatbots
Be an early applicant
Call center AI chatbots
101-200 employees
Be an early applicant
+ equity
101-200 employees
Company mission
To use AI to resolve as many conversations as possible while elevating human agents to do what they are uniquely good at.
Role
Who you are
- 6+ years’ experience in software development enablement roles
- Solid experience owning CI/CD platforms end to end - including domains like caching, architecture, and developer self-service
- Effective use of AI tools such as Claude and Cursor for coding, troubleshooting, and reasoning. You pair these skills with a defensible opinion on where to avoid using AI tools
- Familiarity with Node/TypeScript including making code changes (e.g. exposing new metrics), Python and Terraform for automation, and developing in a Kubernetes/Helm ecosystem
- Practical experience with observability: logs/metrics/tracing, monitoring/alerting, incident management process, and tooling
- Experience working in fully remote teams - tell us how you’ve made one work better
Desirable
- Harness engineering experience - building platforms for autonomous agents
- Production-at-scale experience with GCP
- Telephony and SIP architectures, FreeSWITCH in particular
What the job involves
- We are leading the shift from legacy systems to AI-first service, powered by large language models (LLMs) and designed for enterprise scale, security, and empathy. If you’re excited by the potential of LLMs, voice AI, and building category-defining technology with a kind, ambitious team, you’ll love it here
- Our SRE team builds - not just supports - an AI-native platform, and they own exciting domains like platform and harness engineering, site reliability, cloud infrastructure, CI/CD, DevEx, observability, incident management, and COGS (e.g. cloud spend visibility). We're looking for a Site Reliability Engineer who has opinions about how these domains should work and wants agency in shaping where they go. If you are energized by enabling teams to succeed through systems- and patterns-level work, come build Replicant’s platform with us!
- Contribute to patterns, design, and implementation of our domains; help shape the future of platform engineering at Replicant
- Build and improve systems that help reduce toil and enable Replicant's production infrastructure to remain available and operable under large-scale, real-time conversational AI traffic
- Extend and iterate our agent harness: Unsupervised AI agents are currently used by about 10% of the dev team - help us grow that number. The agent harness includes CI, sandboxes, guardrails, and validation (e.g. agent-first eval loops)
- Own and improve our CI/CD pipelines and surrounding developer tooling: build and test performance, deployment ergonomics, and paved paths for new services
- Participate in on-call rotation and incident management to ensure platform uptime and quality. (SRE owns the base infrastructure, not the applications; non-business-hours pages are rare)
- Our stack is TypeScript/Node and Python running on Kubernetes - primarily on GCP (we are multi-cloud), with GitLab CI, Helm, Terraform, Datadog, Prometheus, and Grafana
Application process
- Deadline to Apply: 14 September 2026 at 05:00 BST
Our take
Whilst automation and AI are being applied to industries across the world, customers must still endure long waits and inconsistent service from telecom companies. In addition to this, customer service agents must answer the same repetitive questions hundreds of times every day, which is both expensive and inefficient. Replicant uses neural networks to provide completely autonomous call center technology that aims to provide intelligent and human-like alternatives to customer service agents.
Replicant's service understands context, accents, slang, and technical terms, providing far more intelligent results than simple answer-recognition phone services. Although various startups are taking steps towards reducing bottlenecks within customer service calls through autonomous chatbots, Replicant stands out by focusing on realistic, engaging conversation. This is done through its neural networks, providing a convincing replacement that reduces costs and frustrations within call centers of any type.
Replicant has secured a good amount of funding to fuel its ambitions to expand research and development, improve its conversations, and launch new automated channels. The company also plans to increase headcount across a range of teams, onboard new customers, and launch professional development programs for its employees.
Freddie
Company Specialist at Welcome to the Jungle
Insights
62% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Apr 2022
$78m
SERIES B
Sep 2020
$27m
SERIES A
Total funding: $120m
Company benefits
- Company Equity: We view our employees as the true owners of Replicant and offer company equity.
- Health insurance: We offer a competitive package with health, dental, eye care, and retirement benefits.
- Remote-friendly: From the Bay to New Brunswick—we have employees across the world, so you can work wherever works for you!
- Frequent offsites: We take team-building seriously and love working side by side.
- Flexible vacation: Take a break when you need it so you can come back refreshed and ready.
- Sabbatical program: After you’ve worked at Replicant for 5 years, you are eligible to take a sabbatical for up to five weeks.
- Equipment stipend: All employees are set up with the essential equipment, but if you have special requests, you’re provided a stipend to cover these costs.
- Wellness stipend: We want employees to feel empowered to manage your fitness, health, and mental wellbeing so we offer a yearly wellness stipend.
Company HQ
Presidio of San Francisco, San Francisco, CA
Leadership
Gadi Shamia
(Co-Founder & CEO)They co-founded TopManage before spending 6 years at SAP and Magneto, as well as COO positions at Adobe and Talkdesk. They co-founded Replicant in January 2019, serving since as CEO.
Benjamin Gleitzman
(Co-Founder & CTO)Having studied at MIT, they worked as a Software Engineer for Hunch and co-founded NextStep and ShockBottoms. They spent 6 years as an eBay Software Engineer before co-founding Ruse, MONA, and Replicant.
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