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Remote Java Trainer Jobs in San Francisco, CA (NOW HIRING)

Senior Back End Engineer

San Francisco, CA · On-site +1

$175K - $195K/yr

Troveo indexes, enriches, and packages this high-quality data into formats ready for training, fine ... Go, Python, or Java. * Experience with Docker and container orchestration * Experience with cloud ...

Recommender Systems: feature stores, training infra, and large-scale high performance inference ... Palo Alto, CA or San Francisco, CA. #LI-REMOTE #LI-AH2 At Pinterest we believe the workplace should ...

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Remote Java Trainer information

What does a remote Java trainer do?

A Remote Java Trainer is responsible for teaching Java programming to students or professionals through online platforms. They develop course materials, deliver live or recorded lessons, and provide guidance on coding best practices and problem-solving. Their role also includes assessing student progress, answering questions, and preparing learners for certifications or real-world Java development tasks. Remote Java Trainers often work for educational institutions, training companies, or as independent contractors.

What skills and qualifications are needed to be a remote Java trainer?

To thrive as a Remote Java Trainer, you need expert-level proficiency in Java programming, instructional experience, and typically a relevant degree or Java certification. Familiarity with virtual classroom platforms, code collaboration tools like Git, and presentation software is important for effective remote teaching. Outstanding communication, patience, and the ability to adapt teaching methods to diverse learners make someone stand out in this position. These skills ensure that complex Java concepts are conveyed clearly and students are fully engaged and supported in a remote learning environment.

How does a remote Java trainer typically structure interactive learning sessions to keep remote learners engaged?

A Remote Java Trainer often uses a blend of live coding demonstrations, real-time Q&A, and breakout group exercises to foster engagement in a virtual environment. Many trainers incorporate collaborative coding platforms and regular quizzes to check understanding and encourage participation. Effective trainers also schedule office hours or one-on-one sessions to address individual questions and challenges, ensuring that remote learners feel supported and connected despite the distance. This interactive approach helps maintain high levels of motivation and retention among students.

What is the difference between Remote Java Trainer vs Remote Java Developer?

AspectRemote Java TrainerRemote Java Developer
Required CredentialsJava certifications, teaching experienceJava certifications, coding experience
Work EnvironmentOnline training platforms, educational institutionsSoftware companies, freelance projects
Employer & Industry UsageTraining companies, e-learning platformsTech firms, startups, freelance clients
Common Search & ComparisonYesYes

Remote Java Trainers focus on teaching Java skills through online courses and training sessions, often requiring teaching credentials and experience. Remote Java Developers primarily write, test, and maintain Java applications, emphasizing coding skills and technical experience. While both roles involve Java expertise, trainers focus on education, and developers on software development.

What cities near San Francisco, CA are hiring for Remote Java Trainer jobs?

Cities near San Francisco, CA with the most Remote Java Trainer job openings:

Infographic showing various Remote Java Trainer job openings in San Francisco, CA as of August 2026, with employment types broken down into 81% Full Time, 16% Part Time, and 3% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Senior Back End Engineer

Troveo AI Inc

San Francisco, CA • On-site, Remote

$175K - $195K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 17 days ago


Job description

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. You will design and operate backend services, with strong expertise in Elasticsearch, container orchestration, and systems architecture.This is a high-impact senior role where you will be building and evolving backend systems 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, ECS and EKS 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

Job 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, or Java.
  • 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)

Preferred Requirements
  • 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: $175,000 - $195,000 (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.