Salient
Salient is pioneering voice AI solutions to transform consumer loan servicing and compliance. Our initial focus: the $1.5T U.S. auto lending market. In under two years since our launch Salient has seen rapid market growth, including:
Scaling to more than $10M in ARR
Partnering with some of the largest consumer lenders in America
Cash flow positive
Raising $65m in funding from top-tier venture capital investors
Interfacing with more than 2 million unique US consumers
Processing over $150M in cash transactions
Preventing $30M in fraud and 35k+ CFPB violations
In-person office culture in San Francisco, CA
About the Role We are hiring a Senior Infrastructure Engineer to design, build, and operate scalable, production-grade infrastructure from the ground up for enterprise, big bank clients with critical data. You'll own and develop our deployment pipelines, observability systems, and cloud infrastructure as we transition to a Kubernetes-based architecture. This is an onsite role in San Francisco close collaboration with product, engineering, and leadership is critical. Youll have significant autonomy: we're looking for someone who can operate independently, contribute to technical direction, and build systems that scale without extensive guidance. Responsibilities Architect and implement a new scalable, reliable, and secure infrastructure for real-time AI-driven voice services
Support our migration to Kubernetes (from ECS) and establish infrastructure best practices
Build, optimize, and maintain CI/CD pipelines to support rapid and safe deployments
Own monitoring, alerting, and incident response systems to ensure uptime and performance
Be the primary PoC for on-call responsibilities to maintain 24/7 uptime systems
Automate operational workflows and infrastructure provisioning (Infrastructure-as-Code)
Collaborate with engineering teams to debug live issues, improve system resilience, and optimize performance
Requirements 5+ years of DevOps, SRE, or infrastructure engineering experience, including experience leading projects independently
Deep expertise in cloud environments (AWS, GCP, or similar)
Strong experience with containerization and orchestration (Docker & Kubernetes) in production environments
Strong awareness of networking concepts and how to implement within AWS (DNS, HTTP(S), SSH, FTP, SMTP, Firewalls, NAT)
Proficiency with infrastructure-as-code tools (Terraform, Helm, etc.)
Strong software engineering skills with demonstrated proficiency in languages commonly used for infrastructure automation like Python, Go, and Bash
Experience designing monitoring and alerting systems (e.g., Prometheus, Datadog, Grafana)
Strong understanding of security, reliability, and scaling best practices for cloud-native systems
Hands-on, ownership-driven mindset
Ability to work 4 days a week in person from our San Francisco office (open to candidates willing to relocate)
Nice to have Experience working with real-time communication systems (e.g., SIP, WebRTC, LiveKit)
Background in highly regulated industries (e.g., financial services, healthcare)
As an early-stage company building at the frontier of AI, we work with high intensity and commitment. While schedules can vary by role/team, many weeks will demand extra focus, flexibility and time particularly during major launches and high impact sprints. We're seeking those who are aligned to and able to commit to that expectation which includes 4 days per week in our San Francisco Office. #J-18808-Ljbffr
Partnering with some of the largest consumer lenders in America
Cash flow positive
Raising $65m in funding from top-tier venture capital investors
Interfacing with more than 2 million unique US consumers
Processing over $150M in cash transactions
Preventing $30M in fraud and 35k+ CFPB violations
In-person office culture in San Francisco, CA
About the Role We are hiring a Senior Infrastructure Engineer to design, build, and operate scalable, production-grade infrastructure from the ground up for enterprise, big bank clients with critical data. You'll own and develop our deployment pipelines, observability systems, and cloud infrastructure as we transition to a Kubernetes-based architecture. This is an onsite role in San Francisco close collaboration with product, engineering, and leadership is critical. Youll have significant autonomy: we're looking for someone who can operate independently, contribute to technical direction, and build systems that scale without extensive guidance. Responsibilities Architect and implement a new scalable, reliable, and secure infrastructure for real-time AI-driven voice services
Support our migration to Kubernetes (from ECS) and establish infrastructure best practices
Build, optimize, and maintain CI/CD pipelines to support rapid and safe deployments
Own monitoring, alerting, and incident response systems to ensure uptime and performance
Be the primary PoC for on-call responsibilities to maintain 24/7 uptime systems
Automate operational workflows and infrastructure provisioning (Infrastructure-as-Code)
Collaborate with engineering teams to debug live issues, improve system resilience, and optimize performance
Requirements 5+ years of DevOps, SRE, or infrastructure engineering experience, including experience leading projects independently
Deep expertise in cloud environments (AWS, GCP, or similar)
Strong experience with containerization and orchestration (Docker & Kubernetes) in production environments
Strong awareness of networking concepts and how to implement within AWS (DNS, HTTP(S), SSH, FTP, SMTP, Firewalls, NAT)
Proficiency with infrastructure-as-code tools (Terraform, Helm, etc.)
Strong software engineering skills with demonstrated proficiency in languages commonly used for infrastructure automation like Python, Go, and Bash
Experience designing monitoring and alerting systems (e.g., Prometheus, Datadog, Grafana)
Strong understanding of security, reliability, and scaling best practices for cloud-native systems
Hands-on, ownership-driven mindset
Ability to work 4 days a week in person from our San Francisco office (open to candidates willing to relocate)
Nice to have Experience working with real-time communication systems (e.g., SIP, WebRTC, LiveKit)
Background in highly regulated industries (e.g., financial services, healthcare)
As an early-stage company building at the frontier of AI, we work with high intensity and commitment. While schedules can vary by role/team, many weeks will demand extra focus, flexibility and time particularly during major launches and high impact sprints. We're seeking those who are aligned to and able to commit to that expectation which includes 4 days per week in our San Francisco Office. #J-18808-Ljbffr