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On Call Mongodb Developer Jobs (NOW HIRING)

Redolent, Inc.

Lead SRE Engineer

San Leandro, CA · On-site

$63 - $83.75/hr

MongoDB knowledge, * Kafka knowledge * Hands-on Splunk Dashboards and Alert setup * Familiarity ... Familiarity with OCP and Kubernetes container platform. * On-Call Support and monthly release after ...

SPLICE

Senior Java Developer

Chicago, IL · Remote

$59 - $75.25/hr

MongoDB * 3+ years developing web services and deep understanding of SOA principles, HTTP, and REST ... Coordinates on-call support and ensures effective monitoring of system. * Maintains technical ...

SPLICE

Senior Java Developer

Chicago, IL · On-site

$59 - $75.25/hr

MongoDB * 3+ years developing web services and deep understanding of SOA principles, HTTP, and REST ... Coordinates on-call support and ensures effective monitoring of system. * Maintains technical ...

Archarithms Inc

DevOps Engineer

Tullahoma, TN · Remote

$45.75 - $62.50/hr

Experience with database administration (e.g., PostgreSQL, MySQL, MongoDB). * Experience with cloud ... Participate in on-call rotation and incident response. * Contribute to the development of best ...

Bass Pro Shops

Senior Engineer - DevOps, Onsite

Springfield, MO · On-site

$118K - $151K/yr

Manage MongoDB deployments (replica sets, sharding, backup/restore strategies) on Kubernetes and/or ... Participate in on-call rotations and incident response; conduct post-mortems and drive reliability ...

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All JobsOn Call Mongodb Developer Jobs

On Call Mongodb Developer information

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$40K

$129.3K

$158.5K

How much do on call mongodb developer jobs pay per year?

As of Jul 24, 2026, the average yearly pay for on call mongodb developer in the United States is $129,348.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $157,000.00 per year, depending on experience, location, and employer.

What is the difference between On Call Mongodb Developer vs Mongodb Administrator?

AspectOn Call Mongodb DeveloperMongodb Administrator
Primary RoleDevelops and maintains MongoDB applications, writes queries, and optimizes database code.Manages, configures, and maintains MongoDB databases, ensuring performance and security.
Required SkillsProficiency in MongoDB query language, scripting, and application development.Database setup, backup, recovery, and performance tuning skills.
Work EnvironmentOften part of development teams, working on application integration.Typically in operations or database teams, focusing on infrastructure.

While both roles require knowledge of MongoDB, the On Call Mongodb Developer focuses on application development and troubleshooting, whereas the Mongodb Administrator handles database management and maintenance. The roles complement each other but serve different aspects of database usage and management.

More about On Call Mongodb Developer jobs
What cities are hiring for On Call Mongodb Developer jobs? Cities with the most On Call Mongodb Developer job openings:
What are the most commonly searched types of Mongodb Developer jobs? The most popular types of Mongodb Developer jobs are:
What job categories do people searching On Call Mongodb Developer jobs look for? The top searched job categories for On Call Mongodb Developer jobs are:
On Call Mongodb Developer jobs near you
Infographic showing various On Call Mongodb Developer job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 76% Full Time, 17% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $129,348 per year, or $62.2 per hour.
Senior DevOps Engineer/Site Reliability Engineer-East Coast

Senior DevOps Engineer/Site Reliability Engineer-East Coast

Stellar Cyber

New York, NY

$62.25 - $82.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago

Job description

Join a fast-growing global leader in cybersecurity, trusted by some of the biggest names in the industry. In addition to some of the world's largest enterprises and government agencies, more than 30% of the world's top MSSPs rely on our platform. We're at the forefront of protecting organizations against sophisticated cyber threats using cutting-edge AI and automation technologies. Our culture is built on diversity, openness, and collaboration, fostering creativity and innovation that drives real impact in the market..

We are seeking a highly skilled Senior DevOps / Site Reliability Engineer (SRE) to join our globally distributed engineering organization. This is a hands-on senior-level role focused on building, operating, and scaling reliable cloud-native infrastructure and distributed data platforms.

The ideal candidate will have strong expertise in Kubernetes, cloud infrastructure, observability, automation, CI/CD, incident management, and infrastructure reliability. This role combines DevOps engineering practices with SRE principles to improve scalability, resiliency, operational efficiency, and platform performance across production environments.

The engineer will work closely with platform, development, and operations teams to drive automation, operational excellence, and reliability best practices for mission-critical systems.

Key Responsibilities

  • Administer and maintain Kubernetes clusters and containerized workloads.
  • Manage cloud infrastructure across OCI, AWS, GCP, or Azure environments.
  • Develop and maintain CI/CD pipelines for reliable application deployments.
  • Implement and manage Infrastructure as Code (IaC) using Terraform and Helm.
  • Build automation tooling and operational workflows using Python, Go, or Bash.
  • Drive observability initiatives including monitoring, logging, tracing, and alerting improvements.
  • Monitor, troubleshoot, and resolve production incidents while participating in on-call rotations.
  • Support and optimize distributed data platforms including Kafka, Elasticsearch, Spark, Redis, and MongoDB.
  • Improve platform reliability, scalability, and operational efficiency using SRE best practices.
  • Collaborate with cross-functional teams across multiple time zones.
  • Perform Linux system administration and networking troubleshooting.
  • Contribute to incident response processes, postmortems, and reliability improvements.
  • Support GitOps and deployment workflows using tools such as ArgoCD and GitHub Actions.
  • Evaluate and implement AI-assisted operational tooling for auto-remediation, alert correlation, and operational intelligence.

Requirements

    • 5+ years of experience in DevOps, SRE, or Platform Engineering roles.
    • Strong expertise with Kubernetes, Docker, and container orchestration.
    • Hands-on experience managing production cloud environments.
    • Strong Infrastructure as Code experience with Terraform and Helm.
    • Experience with CI/CD tools and deployment automation.
    • Advanced troubleshooting skills in Linux systems, networking, and distributed systems.
    • Experience with observability platforms including Prometheus, Grafana, Loki, Alertmanager, and Elastic Stack.
    • Strong programming and scripting skills in Python, Bash, or Go.
    • Experience supporting high-availability production systems and on-call operations.
    • Knowledge of incident management and reliability engineering practices.
    • Familiarity with data platform technologies such as Kafka, Spark, Elasticsearch, Redis, or MongoDB.
    • Understanding of AI-driven operational tooling and automated remediation concepts.
    • Excellent communication, collaboration, and problem-solving skills.
    • Resides on the East Coast

Benefits

We pride ourselves in recognizing our employees. Here are some examples of our benefits program:

  • Pre-IPO Stock Options
  • Medical, Dental & Vision care
  • 401(k)
  • Employee Assistance Program
  • Employee Discount Program
  • Life Insurance
  • Paid time off
  • Referral Program
  • Rewards and Recognition Program

The base compensation range for this role is USD 165,000-215,000 per year. Total compensation includes bonus opportunity and equity, and will vary based on candidate location.

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