About Troveo
Troveo builds the data platform that AI labs and model builders need to train the next generation of models. We have created the world's largest licensed platform of scarce, proprietary data for AI, spanning video, audio, text, and business workflows.
Troveo indexes, enriches, and packages this high-quality data into formats ready for training, fine-tuning, evaluation, and agentic use cases. Backed by top investors, we’re a small, high-impact team solving one of the biggest bottlenecks in AI development.
About the Role
We are hiring a Senior Backend Software Engineer with deep expertise in building scalable, reliable systems on Kubernetes. You will design and operate backend services that run in distributed environments, with strong experience in Elasticsearch, container orchestration, and distributed systems principles.
This is a high-impact senior role where you will own complex backend systems end-to-end while driving best practices in distributed architecture and observability.
Key Responsibilities
Design, develop, and maintain scalable backend services and APIs using microservices architecture
Build and operate production workloads on Kubernetes (deployments, services, ingress, autoscaling, Helm, etc.)
Work extensively with Elasticsearch - indexing, querying, aggregations, performance tuning, and cluster management
Apply distributed systems concepts to design fault-tolerant, highly available, and scalable systems
Optimize application performance and reliability in distributed and containerized environments
Design and implement robust CI/CD pipelines with GitOps and Kubernetes-native deployments
Troubleshoot complex issues across services, Kubernetes clusters, and Elasticsearch
Improve system observability, monitoring, and alerting in distributed environments
Participate in architectural decisions and mentor engineers on distributed systems and Kubernetes best practices
Collaborate with platform teams to evolve internal tooling and developer experience
Requirements
10+ years of professional software engineering experience (strong backend focus)
Strong hands-on experience with Kubernetes (minimum 3+ years running production workloads)
Solid experience working with Elasticsearch (indexing strategies, query optimization, cluster scaling, etc.)
Strong understanding of distributed systems concepts (consistency models, partitioning, replication, consensus, failure handling, CAP theorem, etc.)
Proficiency in at least one backend language: Go, Python, Java, or TypeScript
Experience with Docker and container orchestration
Experience with cloud-managed Kubernetes (EKS, GKE, or AKS)
Good understanding of microservices architecture and inter-service communication patterns
Experience with relational and/or NoSQL databases
Familiarity with infrastructure-as-code tools (Terraform preferred)
Nice to Have
Experience with GitOps tools (Argo CD / Flux)
Knowledge of service mesh (Istio, Linkerd)
Experience with workflow orchestration tools (Temporal, Airflow, etc.)
Background in building or operating search-heavy systems
Experience with observability stacks (Prometheus, Grafana, OpenTelemetry, ELK stack)
Contributions to open-source projects related to Kubernetes or distributed systems
Compensation
Base Salary: $185,000 – $225,000 (depending on experience and location)
Equity: Competitive equity package in a well-funded AI startup with significant upside
Compensation is location-adjusted for cost of living. We are open to candidates in California, New York, and select other states.
What We Offer
Comprehensive Health Benefits: Medical, dental, and vision coverage (100% employer-paid for employees)
Flexible PTO & Paid Holidays: Unlimited PTO with encouragement to actually use it
Remote First Policy: Work from anywhere in the US (with occasional team offsites)
Learning & Growth: Annual learning stipend, access to top conferences, and direct mentorship from experienced founders
Equity Ownership: Competitive equity package with clear growth potential as we scale
Modern Tech Stack & Tools: Budget for the best equipment and software
Strong Culture: High-trust, low-ego environment focused on impact, transparency, and work-life balance
We believe great work happens when people are supported, challenged, and given ownership.
Equal Opportunity Employer
Troveo is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
10+ years backend experience; 3+ years running production Kubernetes; experience with Elasticsearch, distributed systems, Docker, cloud-managed Kubernetes, Terraform; proficiency in Go, Python, Java, or TypeScript.
Key Responsibilities
- designing services
- operating Kubernetes
- mentoring engineers
Skills & Tools
Kubernetes, Elasticsearch, Helm, GitOps, Go, Python, Java, TypeScript, Docker, EKS, GKE, AKS, Terraform, Argo CD, Flux, Istio, Linkerd, Temporal, Airflow, Prometheus, Grafana, OpenTelemetry, ELK
Job Details
- Category: Software Development
- Seniority: Senior Level
- Commitment: Full Time
- Workplace: Remote — San Francisco or California or New York or United States
- Salary: USD 185,000 – 225,000 / year
- Languages: English
Benefits
- Generous paid time off
About Troveo
Builds a licensed data platform that prepares high-quality video, audio, text, and workflow data for AI model training and evaluation. — Industry: Information Technology