Senior Platform Engineer

Accountabilities:

As a Senior Platform Engineer, you will own critical infrastructure and application systems while helping the engineering organization deliver secure, reliable, and maintainable software. Your responsibilities will include:

• Manage and optimize cloud infrastructure across AWS and Cloudflare, improving scalability, reliability, performance, security, and cost efficiency.

• Design, build, test, and maintain backend services, APIs, background processing workflows, and production application features using Node.js and JavaScript/TypeScript.

• Own complex engineering initiatives from requirements clarification and technical design through implementation, deployment, production validation, and ongoing maintenance.

• Contribute across the application stack, including dashboards, public APIs, legacy workers, BullMQ workers, and frontend components when needed to deliver complete customer-facing solutions.

• Design and optimize data models, API contracts, asynchronous processing, and failure-handling mechanisms, addressing inefficient queries, queue bottlenecks, and application performance issues.

• Maintain Redis and MongoDB environments, including configuration, monitoring, query optimization, backup management, and data availability.

• Improve deployment and release management through automation, repeatable workflows, safe rollouts, and reliable rollback procedures.

• Strengthen the software development lifecycle by improving development environments, CI/CD pipelines, automated testing, code quality checks, security controls, and release readiness.

• Lead infrastructure security initiatives and support SOC 2 Type II compliance by maintaining technical controls, managing access and vulnerabilities, documenting evidence, supporting audits, and remediating findings.

• Contribute to incident response and blameless post-incident reviews, turning operational lessons into improvements that reduce recurring risks and protect customers.

• Monitor uptime, application performance, and infrastructure health using tools such as Datadog, ClickHouse, HyperDX, Grafana, and other observability solutions.

• Develop and maintain infrastructure documentation and dependency maps, support disaster recovery planning, and improve backup, recovery, and data integrity practices.

• Prioritize technical improvements according to customer impact, business needs, security risks, delivery speed, and cost efficiency.

• Enhance developer experience, conduct thoughtful code reviews, mentor colleagues, share technical knowledge, and continuously evaluate technologies that improve engineering effectiveness.

Requirements:

The ideal candidate combines substantial platform engineering experience with strong backend development skills, hands-on cloud infrastructure expertise, and a practical approach to security and compliance. You should be comfortable working independently, collaborating across teams, and taking responsibility for production systems. Required qualifications include:

• At least 5 years of engineering experience, including a minimum of 4 years in a Platform Engineer role.

• Strong expertise in managing, securing, and optimizing AWS infrastructure.

• Hands-on experience with Redis and MongoDB, including configuration, monitoring, performance optimization, and backup management.

• Expertise in Infrastructure as Code tools, particularly OpenTofu and Terragrunt.

• Experience with deployment and release management, along with a solid understanding of continuous integration and continuous deployment (CI/CD) practices and tools.

• Practical experience securing production infrastructure, including least-privilege access controls, secrets management, vulnerability remediation, and security monitoring.

• Ability to translate security and compliance requirements into repeatable engineering practices, maintain evidence of control operation, support audit readiness, and help remediate findings for SOC 2 Type II.

• Experience partnering with product engineers to improve the SDLC while balancing feature delivery, reliability, security, and developer productivity.

• Senior-level backend engineering capabilities, including independently designing, shipping, testing, debugging, and maintaining production services and application features.

• Strong proficiency in Node.js and JavaScript/TypeScript, including API development, asynchronous programming, automated testing, and production troubleshooting.

• Experience designing application data models and reliable background jobs, with an understanding of safe retries, idempotency, failure recovery, and performance across application code, databases, and queues.

• Ability to work across backend and frontend systems, learn unfamiliar parts of an application stack, and collaborate with product engineers to deliver complete features.

• Proficiency in command-line scripting and experience with application performance monitoring and logging tools such as Datadog, New Relic, Sentry, or Kibana.

• Knowledge of disaster recovery planning, including data integrity and availability during emergencies.

• Strong communication and problem-solving skills, sound engineering judgment, and the ability to explain technical designs and tradeoffs to technical and nontechnical stakeholders.

• A customer-focused, business-aligned mindset, with the ability to prioritize work according to customer impact and organizational goals.

• Previous experience working remotely is required.

Nice-to-have qualifications:

• Experience with additional product engineering technologies and frameworks, including React, Mongoose, LESS, and related tools.

• Familiarity with AWS services such as Elastic Beanstalk, SQS, CloudFront, EC2, ElastiCache, and Route 53.

• Experience with Kubernetes, Argo CD, GitHub Actions, Terraform, or related infrastructure and deployment technologies.

• Familiarity with Cloudflare DNS, Workers, and Zero Trust/WARP.

• Experience with monitoring and analytics tools such as ClickHouse, Datadog, HyperDX, Grafana, Stitch, Metabase, or Snowflake.

• Applied large language model (LLM) engineering experience, including integrating models such as OpenAI, Anthropic, or Gemini into production systems.

• Understanding of prompt engineering, context engineering, and token management.

• Experience designing or implementing retrieval-augmented generation (RAG) pipelines, embeddings, and vector search.

• Familiarity with emerging LLM infrastructure patterns and protocols, including MCP, tool or function calling, and AI agents.

Benefits:

• Competitive salary.

• 401(k) retirement plan with a 4% employer match.

• 100% company-paid health, dental, and vision insurance.

• Company-paid life insurance and accidental death and dismemberment (AD&D) insurance.

• Fully remote work, with the ability to work from anywhere in North America.

• A new MacBook or a computer of your choice.

• Monthly stipend to help cover home internet costs.

• Generous paid time off (PTO).

• A close-knit, talented team with opportunities for professional growth.

• A work culture that prioritizes work-life balance and offers compensation and benefits designed to be competitive with larger organizations.