Senior Devops Engineer

Localize is seeking a Senior DevOps / Platform Engineer to own and improve its technical infrastructure, databases, and platform tooling. The role focuses on platform scalability, reliability, performance, and security, while strengthening the software development lifecycle and supporting SOC 2 Type II compliance.

Responsibilities:

• Oversee and manage Localize's infrastructure across AWS and Cloudflare
• Ensure the scalability, reliability, performance, and security of Localize's data stores, specifically Redis and MongoDB, through effective configuration, monitoring, query optimization, and backup management
• Own and improve deployment ~~process.~~and release processes, emphasizing automation, repeatability, safe rollouts, and reliable rollback procedures
• Partner with product engineers to improve the full SDLC, including development environments, CI/CD, automated quality and security checks, and release readiness. Treat this work as a core engineering responsibility alongside product delivery
• Take a leading role in infrastructure security and SOC 2 Type II compliance, partnering with engineering leadership and compliance stakeholders to operate and improve technical controls, maintain audit-ready evidence, support audits, and remediate findings. Responsibilities include access management, vulnerability management, change management, logging, and backup and recovery controls
• Help lead incident response and blameless post-incident reviews, translating lessons into improvements that protect customers and reduce recurring operational risk
• Prioritize infrastructure and SDLC improvements based on customer impact, business priorities, and risk. Communicate tradeoffs clearly and assess results through reliability, delivery speed, security, and cost-efficiency
• Own and improve monitoring of uptime and performance using tools such as Datadog, Clickhouse, HyperDX, and more
• Identify, plan and implement improvements and optimizations for infrastructure regarding cost, reliability, scalability
• Develop and maintain detailed documentation and maps of our infrastructure and dependencies
• Actively learn new technologies and systems to improve the efficiency and capabilities of our infrastructure

Requirements:

• 5+ years engineering experience
• At least 4 years of experience in a Devops role
• Expertise in managing and optimizing infrastructure in AWS
• Redis and MongoDB, including configuration, monitoring, optimization, and management of backups
• Expertise in Infrastructure as Code (IaC) tools OpenTofu and Terragrunt
• Experience with manual or automated deployment & release management
• Understanding of continuous integration and continuous deployment (CI/CD) processes and tools
• Hands-on experience securing production infrastructure, including least-privilege access controls, vulnerability remediation, secrets management, and security monitoring
• Ability to translate security and compliance requirements into repeatable engineering practices, maintain evidence of control operation, and support SOC 2 Type II audit readiness and remediation
• Experience partnering with product engineers to improve the SDLC and balance feature delivery with reliability, security, and developer productivity
• A customer-obsessed, business-aligned approach: understand how infrastructure decisions affect customers, prioritize work by impact, and explain technical tradeoffs to technical and nontechnical stakeholders
• Skills in assessing and optimizing performance of infrastructure and applications for improved performance, reliability, scalability, and cost-efficiency
• Proficiency in command line scripting
• Disaster Recovery Planning including data integrity and availability in case of emergencies
• Experience with APM and logging tools such as DataDog, New Relic, Sentry, or Kibana
• Previous experience working in a remote position is a must
• This position is only open to applicants who reside in and are eligible to work in the US
• Product Engineering languages and frameworks such as Typescript, React, Mongoose, LESS, and more
• Hands-on experience integrating LLMs into production systems (OpenAI, Anthropic, Gemini, or similar)
• Strong understanding of prompt engineering, context engineering, and token management
• Experience designing or implementing RAG pipelines, embeddings, and vector search
• Familiarity with emerging LLM infrastructure patterns and protocols (e.g., MCP, tool/function calling, agents)
• Working in a fast-paced environment where you're accountable for your work and you're passionate in working with customers