Site Reliability Engineer (Senior or Staff), Deployments at MongoDB | Boston; Miami; New Jersey; New York City; Princeton; Raleigh; Washington DC | vmiyou
Site Reliability Engineer (Senior or Staff), Deployments
Boston; Miami; New Jersey; New York City; Princeton; Raleigh; Washington DCNot specifiedLead
Salary not listed
PythonGoAWSKubernetes
Is this role open to you?
Boston; Miami; New Jersey; New York City; Princeton; Raleigh; Washington DC
Confirm work authorization, visa sponsorship and location requirements with the employer.
About the role
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
The Role: How you'll make an impact at Personio This position is hybrid based in either Dublin or Munich locations At Personio, your work transforms the way millions of people experience work every day. Join our Product & Technology team, where we drive our customers’ outcomes by designing, developi
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
ABOUT MONGODB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
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, 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.
Req ID: 426184
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
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