Join Planera to build resilient, scalable backend systems that power our construction planning platform. You’ll design and evolve microservices, model and operate data on MongoDB and complementary stores, and ship production services written in Python and Go. This is a product engineering role with a strong focus on reliability, performance, and data correctness, with AI- and analytics-driven features as key accelerators.
Key ResponsibilitiesDesign, implement, and own microservices in Go and Python with clear APIs and SLAs
Model domain data and implement performant data access patterns on MongoDB
Develop internal and public APIs that power our product and partner integrations
Implement observability across services: structured logging, tracing, metrics
Ensure security, reliability, and cost efficiency across deployments (AWS/GCP)
Collaborate with product and frontend to deliver features end-to-end
Partner with AI engineers to integrate LLM-based capabilities and analytics pipelines into backend services
Contribute to CI/CD, testing strategy, and deployment automation
4+ years backend or server-side engineering experience
Proficiency in Go and/or Python building production services
Strong experience with MongoDB data modeling, indexes, aggregation, and performance tuning; familiarity with transactions
Solid understanding of microservice architectures, API design (REST/websockets/SSE), and interservice communication
Cloud experience (AWS or GCP), containers, and orchestration (Docker, ECS/EKS/GKE)
Robust testing practices and CI/CD experience
Observability fundamentals: logs, metrics, tracing, dashboards, and alerting
Product mindset with a focus on user impact and pragmatic tradeoffs
Development with security in mind (secure coding practices, least privilege, secrets management, and common API threat mitigations).
Excellent remote communication skills
Experience pairing MongoDB with complementary stores and caches (PostgreSQL, Redis, vector DBs)
Hands-on work with analytics pipelines and data warehouses (e.g., BigQuery, Snowflake) and exposing analytics to product features
Practical experience integrating AI/LLM services or building retrieval/augmentation services around them
Domain knowledge in construction tech or project management
Go, Python, MongoDB, Redis, REST/websockets, Kafka/SQS/PubSub, Docker, AWS/GCP, Terraform, Prometheus/Grafana, Datadog
Why Join UsImpact: Be at the forefront of transforming a $12.1 trillion industry. Make a meaningful impact on how the world builds.
Culture: Join a smart, spirited team dedicated to innovation and excellence.
Growth: Opportunity for professional growth and career advancement in a fast-paced start-up environment.
Competitive salary, stock options, benefits package, and a dynamic work environment.
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