We are looking to strengthen our team for a DevOps/SRE Engineer!
Requirements- Minimum 5 years of experience in a DevOps and/or Site Reliability Engineering role
- Strong hands-on experience with Linux system administration
- Extensive experience deploying, operating, and scaling Kubernetes in both cloud and bare-metal environments
- Deep expertise and practical experience with at least one major cloud provider (preferably Google Cloud Platform)
- Experience with ML inference on GPU/CPU is a strong plus
- Proven experience implementing SRE practices and building observability stacks using Grafana, Prometheus, and Loki
- Strong adherence to GitOps, Infrastructure as Code (IaC), and CI/CD principles
- Advanced expertise in Terraform, Ansible, and Python
- Comfortable working in high-uncertainty environments: we are building a new product, requirements evolve quickly, and the ability to rapidly learn new technologies and patterns is essential
- Proactive mindset: ability to look beyond DevOps tasks and actively debug and understand the product
- Strategic thinking: ability to choose technologies and architectural approaches based on long-term goals rather than short-term compromises
- Deploy, operate, and evolve a microservices-based platform running in Kubernetes clusters across AWS, GCP, and on-prem (Rancher)
- Operate and support GPU-based ML inference services (Triton Inference Server, vLLM) deployed on RunPod, Scaleway, and Nebius
- Build and maintain Docker images for all microservices and ensure a stable service lifecycle
- Maintain and scale development and production Kubernetes clusters, actively participate in deployment debugging, incident investigation, and performance troubleshooting
- Develop, maintain, and evolve custom Helm charts for each service
- Design and operate CI/CD pipelines using GitHub (code and pipelines) and GitLab for on-prem customer deployments
- Ensure platform compliance with SOC 2 requirements and actively contribute to improving security and compliance processes
- Manage cluster access via NetBird VPN, implementing role-based access control using group policies
- Deploy and manage infrastructure using IaC practices with Terraform and Ansible
- Develop and continuously improve observability systems:
- Grafana & Prometheus for metrics
- ELK stack for centralized log storage and analysis
- Continuously optimize infrastructure in the areas of IaC, IAM, Observability, and CI/CD
- Work with a technology stack, including: Python, Kubernetes, Linux, Docker, GitHub CI/CD, PostgreSQL, ClickHouse, Kafka, Superset, Terraform, Ansible
- The team has built award-winning AI products for tech corporations — devices, voice assistants, products that are actually in the world
- Cutting-edge tech stack: Speech Technologies, NLP, Generative AI (LLMs, diffusion models), voice-first agentic architecture with privacy-first and on-premises deployment
- High engineering bar and real ownership — the team cares about what actually works in production, not what looks good in a demo, and you'll see the impact of your work directly
- Fast career progression — a senior-heavy team and a high volume of real problems means you grow faster than you would anywhere else
- Startup pace with enterprise stability — real clients, real revenue, no bureaucracy
- Fully remote
- 21 vacation days + public holidays + 5 sick days
- Private English lessons via Preply
Skills Required
- Minimum 5 years of experience in DevOps and/or Site Reliability Engineering
- Hands-on experience with Linux system administration
- Experience deploying, operating, and scaling Kubernetes in cloud and bare-metal environments
- Practical expertise with at least one major cloud provider, preferably Google Cloud Platform
- Experience implementing SRE practices and building observability stacks with Grafana, Prometheus, and Loki
- Understanding of GitOps, Infrastructure as Code, and CI/CD principles
- Advanced expertise in Terraform, Ansible, and Python
- Ability to work in high-uncertainty, rapidly changing product environments
- Proactive ability to debug and understand the product beyond DevOps tasks
- Strategic technology and architecture decision-making
- Experience with ML inference on GPU/CPU
Acclaim AI Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Acclaim AI and has not been reviewed or approved by Acclaim AI.
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Parental & Family Support — Parental leave is explicitly listed on the company’s Wellfound profile. Feedback suggests family support is part of the baseline perks communicated publicly.
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Leave & Time Off Breadth — Generous vacation is highlighted on Wellfound. This points to broader time-off flexibility typical of startup-style packages.
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Wellbeing & Lifestyle Benefits — Professional development and company events are called out on Wellfound. These signals indicate investment in growth and team connection beyond core benefits.
Acclaim AI Insights
What We Do
Acclaim is a voice-first AI customer experience (CX) platform purpose-built for regulated industries including banking, fintech, healthcare, and insurance. It provides enterprises with goal-oriented AI agents that go beyond conversation to deliver agentic solutions that solve end-to-end business problems—orchestrating and executing complete customer workflows from outreach through resolution. Acclaim's solutions transform human-driven CX processes into AI-powered ones that are continuously learning and improving. Our platform helps organizations delight with human-quality conversations, accelerate revenue-driving interactions, and safeguard their data by maintaining strict compliance across every customer channel—creating more seamless customer experiences while improving the productivity and satisfaction of human agents. Built on a privacy-first architecture with on-premises or private cloud deployment, Acclaim ensures every interaction is secure, compliant, and delivers results that speak for themselves.
