Site Reliability Engineer (Senior or Staff), Storage Layer Services (SLS)

Mongodb

MongoDB’s Storage Layer Services (SLS) team is re-architecting the MongoDB cloud storage layer and sits at the heart of our next-generation cloud storage architecture. This relatively new team is building performant, multi-tenant distributed storage services that both enhance today’s Atlas storage stack and enable more customer workloads to run more efficiently. You will partner with the teams building these storage services to define SLOs, shape capacity plans, and ensure the reliability, durability, and operational safety of the storage layer that underpins Atlas. You’ll join a small, senior team of SREs as founding members of this organization, playing a crucial role in executing on a multi-year roadmap for MongoDB’s cloud storage architecture. This role can be based out of our Toronto or Montreal office or remotely in the Canada while physically based in an Eastern or Central time zone location.  THE IDEAL CANDIDATE SHOULD * Have 6+ years of experience working on software development and operating distributed systems * Proficiency in Python, Go, or a similar language * Have operated or supported stateful storage or database systems at scale, and are comfortable with durability, consistency, and recovery trade-offs. * Possess a customer-focused mindset * Value efficiency in processes and operations * Prefer automation over manual processes. 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  * Work on our multi-tenant distributed storage systems, balancing long-term strategic infrastructure goals with immediate engineering needs * Build for reliability, making services and infrastructure available, resilient, fault-tolerant, and self-healing * Identify and configure key metrics to detect incidents and quantify service health, availability, and performance * Participate in a 24/7 on-call rotation to resolve issues involving the storage infrastructure * Become an expert in infrastructure performance, helping us optimize from the application level all the way to the kernel STRONG CANDIDATES MAY ALSO HAVE EXPERIENCE WITH: * Leading major architectural shifts, such as moving from legacy storage stacks to new multi-tenant storage architectures, including planning and executing large-scale data and workload migrations with tight availability and durability requirements * Managing and scaling infrastructure across multi-cloud environments (AWS, GCP, or Azure) * Designing secure, multi-tenant runtime environments at scale 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 data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform 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 data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 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: 1273396252 AI is used to review applications based on job-related criteria and does not replace human decision-making. The hiring team decide who moves forward. 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, Registered Retirement Savings Plan (RRSP) with employer match, mental health counseling, backup child and elder care, and health, dental, and vision benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to candidates based in Canada. MongoDB’s base salary range for this role in Canada is: $144,000—$200,000 CAD

Mongodb

MongoDB’s Storage Layer Services (SLS) team is re-architecting the MongoDB cloud storage layer and sits at the heart of our next-generation cloud storage architecture. This relatively new team is building performant, multi-tenant distributed storage services that both enhance today’s Atlas storage stack and enable more customer workloads to run more efficiently. You will partner with the teams building these storage services to define SLOs, shape capacity plans, and ensure the reliability, durability, and operational safety of the storage layer that underpins Atlas. You’ll join a small, senior team of SREs as founding members of this organization, playing a crucial role in executing on a multi-year roadmap for MongoDB’s cloud storage architecture. This role can be based out of our Boston, New York City, Raleigh, Miami, Pittsburgh or remotely in the United States while physically based in an Eastern or Central time zone location.  THE IDEAL CANDIDATE SHOULD * Have 6+ years of experience working on software development and operating distributed systems * Proficiency in Python, Go, or a similar language * Have operated or supported stateful storage or database systems at scale, and are comfortable with durability, consistency, and recovery trade-offs. * Possess a customer-focused mindset * Value efficiency in processes and operations * Prefer automation over manual processes. 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  * Work on our multi-tenant distributed storage systems, balancing long-term strategic infrastructure goals with immediate engineering needs * Build for reliability, making services and infrastructure available, resilient, fault-tolerant, and self-healing * Identify and configure key metrics to detect incidents and quantify service health, availability, and performance * Participate in a 24/7 on-call rotation to resolve issues involving the storage infrastructure * Become an expert in infrastructure performance, helping us optimize from the application level all the way to the kernel STRONG CANDIDATES MAY ALSO HAVE EXPERIENCE WITH: * Leading major architectural shifts, such as moving from legacy storage stacks to new multi-tenant storage architectures, including planning and executing large-scale data and workload migrations with tight availability and durability requirements * Managing and scaling infrastructure across multi-cloud environments (AWS, GCP, or Azure) * Designing secure, multi-tenant runtime environments at scale 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 data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform 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 data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 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: 1273396252 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: $126,000—$248,000 USD

Okta

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Get to know Okta Okta is The World’s Identity Company. We free everyone to safely use any technology—anywhere, on any device or app. Our Workforce and Customer Identity Clouds enable secure yet flexible access, authentication, and automation that transforms how people move through the digital world, putting Identity at the heart of business security and growth.    At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box, we’re looking for lifelong learners and people who can make us better with their unique experiences.    Join our team! We’re building a world where Identity belongs to you.      The Engineering Opportunity We are seeking a Principal Site Reliability Engineer to serve as a technical leader for reliability engineering within Okta's Emerging Products Group (EPG).   This role extends beyond operating production systems. You will define technical strategy, influence platform architecture, establish reliability standards, and lead transformational initiatives that improve scalability, resilience, security, and operational excellence for one of Okta's fastest-growing product areas.   Initially, you will partner closely with the Spera / Identity Security Posture Management (ISPM) engineering organization to establish reliability strategy, operational excellence, and platform maturity. Over time, you will help drive broader reliability initiatives across EPG and contribute to the evolution of reliability engineering practices across multiple products including Workflows, IGA, PAM, and ISPM.   You will work closely with engineering leadership, product leadership, architects, and Staff engineers to shape the future of Okta's cloud infrastructure and reliability practices. The ideal candidate combines deep technical expertise with strong organizational influence and has a proven track record of leading large-scale engineering initiatives that drive measurable business outcomes.   What You'll Be Doing   Reliability Strategy & Architecture * Define and drive the reliability strategy for critical product and platform services. * Establish standards for availability, resilience, observability, incident management, and operational readiness. * Lead architecture reviews for critical services and platform initiatives. * Partner with engineering leaders to ensure reliability objectives align with business priorities and customer expectations. * Create frameworks, standards, and operational guardrails that enable engineering teams to operate safely at scale. * Guide service architecture toward simplicity, scalability, resilience, and operational excellence. * Drive major initiatives that improve platform maturity and long-term sustainability. Product & Platform Leadership * Own reliability architecture and operational excellence for the Spera / ISPM product area. * Collaborate closely with engineering leadership to establish reliability objectives and technical roadmaps. * Lead large-scale scalability, resiliency, and performance initiatives. * Partner with platform and product engineering teams to build self-service operational capabilities that improve developer productivity while strengthening reliability and security. * Influence technical direction through data-driven recommendations, engineering expertise, and collaborative leadership. * Support highly available, large-scale cloud environments as part of an on-call rotation. ENGINEERING & AUTOMATION * Design, build, and operate large-scale cloud infrastructure and production services. * Develop software, automation, and infrastructure using Go, Python, Terraform, and related technologies. * Eliminate operational toil through automation, tooling, and platform engineering. * Improve deployment safety, operational workflows, and platform consistency through GitOps and Infrastructure-as-Code practices. * Collaborate on modernizing existing workloads and aligning them with evolving platform capabilities. * Lead complex engineering initiatives from conception through production rollout and long-term operational ownership.   TECHNICAL LEADERSHIP * Mentor Staff and Senior engineers across multiple teams and organizations. * Lead technical reviews, design reviews, and operational readiness assessments. * Build engineering consensus across teams with differing priorities and objectives. * Help develop the next generation of technical leaders within Okta. * Drive adoption of reliability engineering best practices across EPG. * Share patterns, tooling, and operational practices across Workflows, Inbox, PAM, and ISPM teams. * Influence technical direction through expertise, collaboration, and execution rather than organizational authority. AI & AGENTIC OPERATIONS * Lead the exploration and adoption of AI-assisted reliability engineering practices across EPG. * Design and champion agentic systems that accelerate troubleshooting, incident response, root-cause analysis, and operational decision-making. * Evaluate emerging AI technologies and identify practical opportunities to improve reliability engineering workflows. * Establish best practices for safe, effective, and measurable use of AI within production operations. * Drive initiatives that reduce operational toil and improve engineering productivity through intelligent automation. OUR TECH STACK * Infrastructure/Orchestration: Kubernetes (EKS/GKE), Terraform, Helm, Git, ArgoCD, Gitops * Programming: Golang, Python * Observability: Datadog, Splunk * Data Stores: PostgreSQL, Redis, OpenSearch     What We Are Looking For TECHNICAL EXCELLENCE * Extensive experience designing and operating large-scale production systems in AWS and/or GCP. * Deep expertise with Kubernetes in production environments. * Experience designing reliability strategies for Kubernetes-based platforms. * Strong expertise troubleshooting Kubernetes networking, storage, scheduling, scaling, and workload lifecycle challenges. * Extensive experience with Infrastructure as Code technologies such as Terraform and Helm. * Strong software engineering skills in Golang and/or Python. * Experience building internal platforms, developer tooling, and operational automation. * Deep understanding of distributed systems architecture and cloud-native application design. * Strong understanding of cloud networking fundamentals including DNS, service discovery, ingress, load balancing, TLS, traffic management, and multi-region architectures. * Experience operating and troubleshooting distributed data platforms such as PostgreSQL, Redis, OpenSearch, MySQL, Cassandra, or similar technologies. * Experience establishing observability standards, monitoring strategies, and operational best practices across engineering organizations. * Experience with or strong interest in AI-assisted engineering and operational automation. RELIABILITY & OPERATIONAL EXCELLENCE * Strong expertise operating customer-facing production systems at scale. * Deep understanding of reliability engineering principles including SLIs, SLOs, error budgets, capacity planning, and resilience engineering. * Experience leading major incident response efforts and driving long-term operational improvements. * Strong understanding of CI/CD, GitOps, deployment strategies, and automation-first operational practices. * Proven success driving large-scale reliability transformations and architectural modernization efforts. * Ability to balance reliability, scalability, security, customer experience, and engineering velocity. SECURITY & COMPLIANCE * Strong understanding of cloud security fundamentals, IAM, secrets management, and secure infrastructure design. * Experience operating systems within security-sensitive or regulated environments is a plus. * Familiarity with operational controls, compliance requirements, and security best practices in cloud-native environments.     LEADERSHIP & INFLUENCE * Demonstrated success leading complex technical initiatives across multiple teams and organizations. * Demonstrated ability to drive technical strategy and influence engineering outcomes across multiple organizations and leadership teams. * Proven ability to influence technical direction without direct organizational authority. * Experience working effectively within globally distributed engineering organizations spanning multiple timezones and cultures. * Strong collaboration, communication, and stakeholder management skills. * Experience mentoring Staff engineers and helping develop future technical leaders. * Ability to translate business objectives into technical strategy and measurable reliability outcomes. * Experience working closely with engineering leadership, architects, and product leaders to drive organizational change. PREFERRED QUALIFICATIONS * Experience operating SaaS platforms serving millions of users. * Experience supporting globally distributed production environments. * Experience leading platform engineering or reliability transformation initiatives. * Experience implementing AI-assisted operational tooling, agentic workflows, or intelligent automation platforms. * Prior experience as a Staff, Principal, or equivalent senior technical leader in Site Reliability Engineering, Platform Engineering, Infrastructure Engineering, or Cloud Operations.   #LI-Hybrid #P25309_3469886 The Okta Experience * Supporting Your Well-Being  * Driving Social Impact  * Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.