Site Reliability Engineer (Senior or Staff), Deployments

AlleyCorp; New Jersey; On-site; USD 127,000 - 249,000; Full time

Job summary

MongoDB, Inc. is seeking an experienced Platform Engineer for Deployments to advance our continuous delivery infrastructure. You will work on Argo Workflows and ArgoCD, extending containerization and cloud platforms to support our engineering teams and reduce toil.

The role emphasizes building scalable CI/CD pipelines, 24/7 on‑call support, and a strong customer‑facing mindset to enable rapid, reliable MongoDB product deployments.

Qualifications

• 6+ years of experience in software development and operating distributed systems.
• Proficiency in Python, Go, or a similar language.
• Proven experience building and operating large‑scale CI/CD pipelines.
• Possess a customer‑focused mindset.
• Value efficiency in processes and operations.
• Prefer automation over manual process ("allergic to ops work"). We are a small team of software engineers with a strong bias towards software solutions to avoid toil.
• Experience using and extending containerization technologies, particularly Kubernetes, to enhance application agility, optimize resource utilization, and accelerate time‑to‑market.
• Expertise in cloud infrastructure platforms, including AWS, Google Cloud Platform (GCP), or Azure.
• Understanding of Linux operating system internals and networking concepts (e.g., TCP/IP, DNS, TLS, routing).

Responsibilities

• Contribute to developing a world‑class continuous deployment experience, enabling the rapid and reliable shipment of MongoDB products
• Own the onboarding flow other engineering teams follow when launching a new product or service
• Collaborate with other teams within Platform Engineering to ensure a consistent service‑onboarding experience
• Provide internal support for our deployment systems, including answering questions and addressing issues
• Participate in a 24/7 on‑call rotation to resolve issues involving the deployment infrastructure

Skills

Python

Go

CI/CD

Kubernetes

Cloud platforms

Linux networking

Automation mindset

Customer focus

Tools

Argo Workflows

ArgoCD

Containerization

Job description

Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi‑cloud‑provider Kubernetes infrastructure, networking, load balancing (including our public‑facing edge and internal service mesh), and observability and alerting systems.

The Deployments team designs and maintains our continuous delivery infrastructure, ensuring reliable code deployment from development through production for all engineering teams. This infrastructure is primarily composed of Argo Workflows and ArgoCD. The team also provides tooling that enables clear system ownership and facilitates self‑service onboarding for development teams.

We are looking to speak to candidates who can work East Coast hours.

The ideal candidate should

• Have 6+ years of experience in software development and operating distributed systems
• Proficiency in Python, Go, or a similar language
• Proven experience building and operating large‑scale continuous integration and continuous deployment (CI/CD) pipelines
• Possess a customer‑focused mindset
• Value efficiency in processes and operations
• Prefer automation over manual process (“allergic to ops work”). We are a small team of software engineers with a strong bias towards software solutions to avoid toil
• Experience using and extending containerization technologies, particularly Kubernetes, to enhance application agility, optimize resource utilization, and accelerate time‑to‑market
• Expertise in cloud infrastructure platforms, including AWS, Google Cloud Platform (GCP), or Azure
• Understanding of Linux operating system internals and networking concepts (e.g., TCP/IP, DNS, TLS, routing)

Expectations

• Contribute to developing a world‑class continuous deployment experience, enabling the rapid and reliable shipment of MongoDB products
  • This includes, but is not limited to, contributing to open‑source projects, or engineering software‑based approaches like Kubernetes operators to streamline processes
• Own the onboarding flow other engineering teams follow when launching a new product or service
• Collaborate with other teams within Platform Engineering to ensure a consistent service‑onboarding experience
• Provide internal support for our deployment systems, including answering questions and addressing issues
• Participate in a 24/7 on‑call rotation to resolve issues involving the deployment infrastructure

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully‑paid gender‑neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender‑inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.

MongoDB’s base salary range for this role in the U.S. is: $127,000 — $249,000 USD.