Backend Software Developer

About the Role 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 SLAsModel domain data and implement performant data access patterns on MongoDBDevelop internal and public APIs that power our product and partner integrationsImplement observability across services: structured logging, tracing, metricsEnsure security, reliability, and cost efficiency across deployments (AWS/GCP)Collaborate with product and frontend to deliver features end-to-endPartner with AI engineers to integrate LLM-based capabilities and analytics pipelines into backend servicesContribute to CI/CD, testing strategy, and deployment automation Requirements4+ years backend or server-side engineering experienceProficiency in Go and/or Python building production servicesStrong experience with MongoDB data modeling, indexes, aggregation, and performance tuning; familiarity with transactionsSolid understanding of microservice architectures, API design (REST/websockets/SSE), and interservice communicationCloud experience (AWS or GCP), containers, and orchestration (Docker, ECS/EKS/GKE)Robust testing practices and CI/CD experienceObservability fundamentals: logs, metrics, tracing, dashboards, and alertingProduct mindset with a focus on user impact and pragmatic tradeoffsDevelopment with security in mind (secure coding practices, least privilege, secrets management, and common API threat mitigations).Excellent remote communication skills PreferredExperience 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 featuresPractical experience integrating AI/LLM services or building retrieval/augmentation services around themDomain knowledge in construction tech or project management Tech Stack 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. Benefits Competitive salary, stock options, benefits package, and a dynamic work environment.