Senior Platform Engineer

Join a fully remote engineering team as a Senior Platform Engineer, taking ownership of the infrastructure, backend systems, and developer tooling that power a growing software platform. In this hands-on role, you will combine senior-level software engineering with platform reliability, cloud infrastructure management, and security leadership. You will strengthen application performance, scalability, and resilience while improving deployment processes and the overall software development lifecycle. Working closely with engineering leadership and product teams, you will translate customer needs and business priorities into practical technical solutions. You will also play a central role in SOC 2 Type II compliance, incident response, and continuous improvement. This opportunity is ideal for an experienced engineer who enjoys solving complex technical challenges, mentoring teammates, and balancing product delivery with operational excellence.

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.

• 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.