About The Position

Archer is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. We are designing, manufacturing, and operating an all-electric aircraft that can carry four passengers while producing minimal noise. Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success. We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members. What You’ll Do: We are looking for a versatile Backend Software Engineer to own the design, development, and maintenance of Archer’s internal tooling ecosystem. In this role, you will act as a force multiplier for the entire organization—from Hardware Engineers analyzing flight data to Talent Acquisition teams scaling our workforce. You will not just be writing code; you will be solving complex workflow problems. You will be responsible for deploying Generative AI solutions, building data-intensive platforms, and automating critical business operations. In addition to the above, your responsibilities will include but not limited to the following.

Requirements

  • 4+ years of professional backend engineering experience
  • Strong proficiency in at least one backend programming language (Python, Go, Java, Node.js, or similar)
  • Extensive experience with cloud platforms (AWS, GCP, or Azure) and cloud-native architecture
  • Solid understanding of DevOps principles with hands-on experience in:
  • CI/CD tools (TeamCity, Jenkins, GitLab CI, GitHub Actions, CircleCI, etc.)
  • Containerization and orchestration (Docker, Kubernetes, Prefect/Airflow)
  • Infrastructure as Code (Terraform, CloudFormation, Ansible, etc.)
  • Proficiency with relational and NoSQL databases
  • Experience with RESTful API design and microservices architecture
  • Strong understanding of software engineering best practices including version control, testing, and code review
  • Proven ability to work effectively with cross-functional teams and non-technical stakeholders
  • Knowledge of observability tools (Prometheus, Grafana, DataDog, etc.)
  • Excellent problem-solving skills and attention to detail
  • Strong written and verbal communication skills

Nice To Haves

  • Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)
  • Background in building internal developer tools or platforms
  • Hands-on experience integrating Gen AI via API and a familiarity with employing RAG in custom applications
  • Experience with message queuing systems (RabbitMQ, Kafka, etc.)
  • Experience with GraphQL APIs
  • Familiarity with data warehousing and analytics platforms
  • Experience building with Model Context Protocol (MCP) servers to connect data sources to LLMs

Responsibilities

  • Design, develop, and maintain scalable backend systems and APIs for internal tools supporting engineering, manufacturing, supply chain, and business operations
  • Build automation tools and workflows that streamline cross-functional processes
  • Implement robust data pipelines and integration systems connecting various internal platforms
  • Ensure code quality through comprehensive testing, code reviews, and adherence to engineering best practices
  • Design and manage cloud infrastructure with a focus on scalability, reliability, and security
  • Monitor system performance, troubleshoot issues, and optimize for efficiency
  • Establish infrastructure as code practices and maintain version-controlled configurations
  • Partner with multidisciplinary stakeholders including engineers, operations teams, program managers, and executives to understand requirements and deliver solutions
  • Translate business needs into technical specifications and architectural designs
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