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Remote Mongodb Developer Jobs in California (NOW HIRING)

Neo4j

Consulting Engineer

San Mateo, CA · On-site +1

Ability to work independently in a remote, cross-functional organization * Curiosity and enthusiasm ... Familiarity with Snowflake or Databricks, and NoSQL/Relational providers such as MongoDB, Couchbase ...

Clerkie

Backend Engineer

San Francisco, CA · Remote

$90/hr

Clerkie is a remote-first company, with over 40 employees spanning 4 time zones across the United ... Experience working with databases (NoSQL preferred, e.g., MongoDB) * Ability to own projects end-to ...

Clerkie

Backend Engineer

Los Angeles, CA · Remote

$90/hr

Clerkie is a remote-first company, with over 40 employees spanning 4 time zones across the United ... Experience working with databases (NoSQL preferred, e.g., MongoDB) * Ability to own projects end-to ...

Cargomatic

AI Engineer

San Francisco, CA · Remote

$150K - $210K/yr

Remote Compensation: $150,000 - $210,000 Join a rapidly growing company disrupting the trucking ... warehouses such as MongoDB, RDS (PostgreSQL/MySQL), Firestore, and Redshift - Experience ...

Walmart

Senior, Software Engineer (Backend Java)

Sunnyvale, CA · On-site +1

$141K - $183K/yr

This is a full-time onsite role based in Sunnyvale, CA; remote and hybrid options are not available ... In-depth understanding of NoSQL database implementations, like Cosmos, MongoDB, etc. * Strong ...

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

Strong foundation in Python programming in a cloud environment. * Strong quantitative abilities ... Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB ...

Comcast

Sr. Backend Engineer - Xumo

Irvine, CA · Remote

$141K - $189K/yr

Position is office based in Irvine, CA or Philadelphia, PA,- 4 days on-site & 1 day remote. Java ... MongoDB) * 5+ years' experience of working with Linux-based operation system (CentOS, OSX) * Strong ...

Directv

Principal, IT Software Engineer 2

El Segundo, CA · Remote

$143K - $192K/yr

... MongoDB preferred). * Strong DevOps foundation, including fluency with CI/CD, quality/security ... This is a remote position that can be located anywhere in the United States, with the exception of ...

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Remote Mongodb Developer information

What is a remote MongoDB developer?

A Remote MongoDB Developer is responsible for designing, developing, and maintaining database solutions using MongoDB while working from a remote location. They collaborate with backend and full-stack developers to optimize data storage, indexing, and query performance. Their responsibilities often include schema design, data migration, performance tuning, and security implementation. This role requires proficiency in MongoDB, query optimization, aggregation pipelines, and possibly integration with programming languages like Node.js, Python, or Java. Remote MongoDB Developers must also be adept at troubleshooting database-related issues and ensuring efficient data handling in scalable applications.

What are the key skills and qualifications needed to thrive as a remote MongoDB developer?

To thrive as a Remote MongoDB Developer, you need solid experience in database design, data modeling, and proficiency with MongoDB and related programming languages such as JavaScript, Python, or Java. Familiarity with tools like MongoDB Atlas, aggregation frameworks, version control systems (e.g., Git), and possibly MongoDB certifications are valuable assets. Strong problem-solving skills, clear communication, and self-motivation are crucial soft skills for remote collaboration. These abilities are vital for delivering scalable, reliable data solutions and excelling within distributed, cross-functional teams.

What does a typical workday look like for a remote MongoDB developer?

As a Remote MongoDB Developer, your workday typically involves designing and optimizing database schemas, writing queries, building and maintaining API integrations, and collaborating with backend and frontend developers to support application features. You will likely participate in daily stand-ups or team meetings using video conferencing tools and regularly communicate through chat applications like Slack. Additionally, you may be involved in troubleshooting issues, monitoring database performance, and implementing security best practices. The role requires both independent focus and active teamwork, ensuring that features are delivered efficiently and systems stay robust.

What are the most commonly searched types of Mongodb Developer jobs in California?

The most popular types of Mongodb Developer jobs in California are:

What are popular job titles related to Remote Mongodb Developer jobs in California?

For Remote Mongodb Developer jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Mongodb Developer jobs in California look for?

The top searched job categories for Remote Mongodb Developer jobs in California are:

What cities in California are hiring for Remote Mongodb Developer jobs?

Cities in California with the most Remote Mongodb Developer job openings:

Remote Mongodb Developer jobs near you
Infographic showing various Remote Mongodb Developer job openings in California as of August 2026, with employment types broken down into 84% Full Time, 6% Part Time, and 10% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution.

Senior Software Engineer, Observability

Together AI

San Francisco, CA • On-site, Remote

$200K - $280K/yr

Full-time

Medical

Re-posted 27 days ago

Key responsibilities

  • Design and implement a scalable observability platform (metrics, logs, traces) using tools like Prometheus, Grafana, ClickHouse, ClickStack, and OpenTelemetry.

  • Develop automated monitoring, alerting, and anomaly detection systems, including SLIs/SLOs, runbooks, and predictive analytics for critical services.

  • Build and deploy custom observability tools and infrastructure-as-code using Go, Python, Terraform, Ansible, and Helm.

Job description

About the Role

Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art AI cloud infrastructure.

The AI Infrastructure team at Together AI is at the forefront of building and scaling the foundational systems that power our generative AI platform. The storage and observability team is crucial for designing, implementing, and maintaining robust distributed storage solutions, ensuring seamless data access and management. They are also responsible for developing comprehensive observability platforms, providing critical insights into system performance and GPU utilization, and proactively identifying and resolving issues.

Responsibilities

  • Design and implement a scalable observability platform (metrics, logs, traces) using tools like Prometheus, Grafana, ClickHouse, ClickStack, and OpenTelemetry, including telemetry data pipelines and log aggregation workflows.
  • Develop automated monitoring, alerting, and anomaly detection systems, including SLIs/SLOs, runbooks, and predictive analytics for critical services.
  • Build and deploy custom observability tools and infrastructure-as-code using Go, Python, Terraform, Ansible, and Helm.
  • Collaborate with engineering teams to enhance distributed tracing and application monitoring, and lead incident response with post-mortem analysis.
  • Define observability best practices.

Requirements

  • Expertise in observability platforms (Prometheus, Grafana, ClickStack, OpenTelemetry) and cloud-native monitoring services (AWS, GCP, Azure).
  • Strong programming skills in Go, Python, or similar languages, with proficiency in infrastructure-as-code tools (Terraform, Ansible, Helm).
  • Experience designing, operating, and scaling large-scale distributed systems and pipelines for high-volume data ingestion and real-time querying.
  • Deep understanding of containerization (Docker) and orchestration (Kubernetes).
  • Knowledge of microservices architecture, service mesh technologies, CI/CD pipelines, and GitOps workflows.
  • Expertise in managing databases (PostgreSQL, MongoDB, Redis) and time-series databases with high-cardinality data.

Preferred

  • Experience monitoring AI/ML infrastructure, GPU clusters, and custom metrics for model performance and training pipelines.
  • Background in high-frequency, low-latency systems monitoring, chaos engineering, and reliability testing.
  • Contributions to open-source observability projects.
  • Familiarity with security monitoring and compliance frameworks.
Compensation

We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $200,000 - $280,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy  

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