Site Reliability Engineer, Replicant
Plus equity
Call center AI chatbots
Open for applications
Call center AI chatbots
101-200 employees
Open for applications
Plus equity
101-200 employees
Company mission
To provide clients with an artificial intelligence solution that their customers enjoy speaking to.
Role
Who you are
- If you're excited by AI, ChatGPT, LLMs and want to make an impact with other great technologists and strong go-to-market leaders, then look no further
- Proven experience in managing and troubleshooting complex, distributed systems in a production environment
- Strong understanding of cloud platforms (GCP preferred) and containerization technologies (Kubernetes)
- Proficiency in scripting languages and automation tools (e.g., Python, Bash, Terraform)
- Experience with monitoring and observability systems (e.g., Datadog, Prometheus)
- Excellent problem-solving skills and a proactive approach to identifying and mitigating potential issues
- Strong communication and collaboration skills, with the ability to work effectively in a team environment
- A passion for ensuring the reliability and performance of critical systems
Desirable
- Experience with CI/CD pipelines and infrastructure-as-code practices
- Knowledge of networking concepts and protocols
- Familiarity with security best practices for cloud-based systems
- Familiarity with telephony applications
What the job involves
- We're searching for a skilled Site Reliability Engineer to play a crucial role in scaling the infrastructure and systems that power Replicant
- As our company expands, we need your expertise to optimize how Replicant's data is managed and delivered, enhance the connectivity of our software applications, and strike the right balance between engineering autonomy and standardization
- Our core technology stack includes TypeScript/NodeJS and Python within a Kubernetes environment on GCP, along with tools like Helm, Terraform, Datadog, and Prometheus
- Ensure the smooth operation and high availability of Replicant's production systems
- Monitor system performance, identify bottlenecks, and implement optimizations to enhance reliability and efficiency
- Develop and maintain tools and automation to prevent and quickly resolve incidents
- Collaborate with engineering teams to improve the reliability and scalability of our applications and infrastructure
- Participate in on-call rotation to address production issues and ensure service uptime
- Contribute to infrastructure design and implementation, focusing on scalability, security, and cost-effectiveness
- Stay up-to-date on industry best practices and emerging technologies in SRE and DevOps
Our take
Whilst automation and AI are being applied to industries across the world, customers must still endure long waits and inconsistent service from telecommunication services. 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 providing realistic and engaging conversation through 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 to ambitions to expand research and development, improving 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
Company
Funding (last 2 of 4 rounds)
Apr 2022
$78m
SERIES B
Sep 2020
$27m
SERIES A
Total funding: $120m
Company benefits
- Company Equity
- Health insurance
- Remote-friendly
- Frequent offsites
- Unlimited vacation
- Sabbatical program
- Equipment stipend
- Wellness stipend
Company values
- Blade runners - We take ownership and pride to influence the outcomes of our goals and like a Blade Runner, are resourceful in accomplishing them
- Självdistans = Swedish for “self-distance”; the ability to reflect on oneself and one’s relations from an external perspective. We act with objectivity, never letting our work define us
- Bread makers - We are humble and strive toward an egalitarian culture. No task is too big or too small. We work together to elevate our company mission
Company HQ
Presidio of San Francisco, San Francisco, CA
Articles
Leadership
Gadi Shamia
(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
(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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