Jupiter Logo

Jupiter

Senior Backend Engineer

Reposted 11 Days Ago
Remote
Hiring Remotely in United States
100K-150K Annually
Senior level
Remote
Hiring Remotely in United States
100K-150K Annually
Senior level
Design and develop scalable backend systems using Kotlin, Micronaut, and Spring. Build RESTful APIs, optimize PostgreSQL and Elasticsearch databases, implement RabbitMQ-based asynchronous processing, integrate AI tools, and create automated tests. Deploy and monitor services on GCP using Docker, Kubernetes, and Terraform. Collaborate cross-functionally, participate in code reviews, troubleshoot performance issues, and deliver reliable backend products.
The summary above was generated by AI
About the Company

Jupiter.co is transforming grocery shopping with a recipe-first, AI-powered experience. By seamlessly connecting recipe content with grocery purchases, Jupiter makes it simple for consumers to shop based on what they love to cook. Founded out of Stanford and backed by Y Combinator, NFX, and Khosla Ventures, Jupiter is positioned to capture a share of the $200B recipe-driven shopping market in the US.

About the Role

As a Sr. Backend Engineer at Jupiter, you'll play a crucial role in designing and developing robust, scalable backend systems. You'll implement innovative solutions to complex business problems, working closely with cross-functional teams to deliver high-quality products in the food industry space.

Responsibilities:
  • Product Development: Analyze product requirements and translate them into technical solutions.

  • Software Design and Implementation: Design and implement backend services using Kotlin, Micronaut, and Spring frameworks.

  • API Development: Create RESTful APIs to expose backend services to frontend applications and third-party integrations.

  • Database Design and Optimization: Design and optimize relational databases (PostgreSQL) and NoSQL databases (Elasticsearch).

  • Asynchronous Processing: Implement background jobs and event-driven architectures using RabbitMQ.

  • AI Integration: Use AI tools to automate data classification and structuring.

  • Test Automation: Write and maintain unit, integration, and end-to-end tests.

  • Deployment and Monitoring: Deploy and monitor backend services in cloud environments (GCP) using Docker, Kubernetes, and Terraform.

  • Performance Optimization: Identify and resolve performance bottlenecks.

  • Code Review and Collaboration: Actively participate in code reviews and collaborate with team members to maintain high code quality.

Qualifications:
  • 3+ years of backend development experience, focusing on JVM languages (Kotlin required)

  • Proficiency in backend frameworks like Micronaut or Spring

  • Experience with relational (PostgreSQL) and NoSQL (Elasticsearch) databases

  • Solid understanding of object-oriented, functional, and reactive programming paradigms

  • Experience with cloud platforms (GCP) and containerization (Docker, Kubernetes)

  • Strong knowledge of RESTful API design and development

  • Experience with asynchronous programming and message queues (RabbitMQ)

  • Proficiency in writing clean, well-tested code

  • Experience with AI and machine learning tools is a plus

  • Excellent problem-solving and debugging skills

  • Strong communication and collaboration skills

What We Offer:
  • Opportunity to work on cutting-edge technologies and innovative products

  • A collaborative and supportive remote work environment

  • Competitive compensation and benefits package

  • Continuous learning and development opportunities

  • A small team with big values:

    • Progress First → Perfect Next

    • Seek Data → Use Data

    • Take Decisions → Own Outcomes

    • Serve Customers → Earn Patrons

Salary:

The expected annual salary range for this role is $100,000 - $150,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity.

If you're passionate about building scalable, reliable backend systems and want to join a dynamic team, we encourage you to apply.

EEO Policy Statement

Jupiter is an equal opportunity employer, committed to providing a workplace free from discrimination. We value the diverse backgrounds and perspectives of our employees and applicants, and do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, veteran status, or any other protected status under applicable laws. We also provide reasonable accommodations for qualified individuals with disabilities. 

Similar Jobs

7 Days Ago
Easy Apply
Remote
United States
Easy Apply
236K-325K Annually
Senior level
236K-325K Annually
Senior level
Big Data • Fintech • Mobile • Payments • Financial Services
Architect and operate Affirm’s large-scale Amazon EKS compute platform, including cluster lifecycle, node management, autoscaling, shared components, infrastructure automation, workload safety policies, observability, cost and capacity optimization, and self-service workflows. The role drives technical strategy, mentors engineers, partners cross-functionally, and participates in on-call incident response.
Top Skills: Amazon EksArgocdAWSCi/CdCluster AutoscalerCorednsEc2GitopsGoIamInfrastructure As CodeKarpenterKube ProxyKubernetesMetrics ServerOpa/GatekeeperPythonSpaceliftTerraformVpcVpc Cni
8 Days Ago
Remote or Hybrid
San Francisco, CA, USA
165K-250K Annually
Senior level
165K-250K Annually
Senior level
Cloud • Digital Media • News + Entertainment • On-Demand
Build and operate Philo’s ML and LLM infrastructure, including AWS and Kubernetes platforms, GPU scheduling, model serving, inference optimization, monitoring, evaluation, experimentation, and CI/CD. The role establishes infrastructure best practices, reliability, security, scalability, and Infrastructure as Code while supporting recommendation, video classification, and agent workloads. It also involves collaborating with engineers and vendors to deploy, instrument, and manage production systems.
Top Skills: AirflowAlbAmazon BedrockAnthropicAWSC++CloudFormationCloudwatchDagsterDatadogDnsDockerDvcElasticacheElbElkFeastFluentdGitlabGoGrafanaHTTPIamInfluxdbJavaScriptJenkinsKubeflowKubernetesLakefsLinuxLitellmMetaflowMlflowNlbNvidia TritonOpenaiPgvectorPineconePrometheusPythonRagRayRdsRoute 53RubySqsTcp/IpTectonTensorrt-LlmTerraformTgiTickTypescriptVllmVpcWeaviateWeights & Biases
11 Days Ago
Easy Apply
Remote
United States
Easy Apply
173K-255K Annually
Senior level
173K-255K Annually
Senior level
Big Data • Fintech • Mobile • Payments • Financial Services
Build and operate Affirm’s AI platform, including LLM and MCP gateways, agent runtimes, evaluation services, and governance controls. Design highly available backend systems, manage identity, quotas, routing, caching, reliability, observability, and security for AI workloads. Own projects from design through launch and on-call, establish engineering standards, collaborate across teams, mentor engineers, and help scale AI systems into production.
Top Skills: AWSAws BedrockChatgptClaudeKotlinKubernetesLitellmMcpMySQLPython

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account