We are looking for an experienced Senior or Staff Engineer for our SRE, InfraSec team, to guide the security of our cloud-based infrastructure. As a Staff SRE, you will be very hands-on technically while also mentoring a small team of SREs.

The InfraSec team collaborates closely with other engineering teams to ensure that our infrastructure adheres to the highest security standards. They build essential security infrastructure and implement controls that reinforce the platform’s security posture.

This is an SRE team, which means you can expect a highly hands-on approach, tackling the technical challenges of implementing large scale solutions.This team is deeply involved in the technical aspects of security and the nuances of its actual implementation.

This role can sit in our New York City, Austin, Seattle or San Francisco offices on a hybrid basis, or it can be fully remote while working from a location based in either Eastern or Central time zones.

Responsibilities:

Cloud Security Design and Implementation:  

• Help lead the design and deployment of security solutions for cloud platforms (AWS, Azure, GCP), including network and compute security, identity management, and cloud security posture management (CSPM)

Automation and Monitoring:  

• Build automated solutions for real-time security monitoring, logging, and alerting in cloud environments. Leverage native cloud services and third-party tools for runtime security monitoring and anomaly detection

Security Tooling:

• Evaluate, implement, and manage cloud-native security tools and platforms for endpoint security, identity management (IAM), and CSPM 

Qualifications:

Experience:  

• 6+ years of experience in SRE, infrastructure engineering or similar role, with a strong focus on security work, with ideally 2+ years in a senior or staff engineering role

Security Mindset:

• A comprehensive understanding of all facets of cloud environment security, spanning from foundational OS networking layers to cloud provider configurations. Proven experience in leading projects within security-focused areas, such as runtime scanning, security observability, CSPM, and more

Cloud Expertise:  

• Strong experience with at least one cloud platform (AWS, Azure, GCP), including expertise in IAM, VPC networking, security groups, and cloud security tools (e.g., GuardDuty, Security Hub, CloudTrail)

Coding/Automation:  

• Proficiency in at least one programming language (we use Golang but are language agnostic when it comes to hiring ) and experience with infrastructure-as-code tools (Terraform, CloudFormation, Ansible) to automate security configurations and processes

Linux and Networking

• Understanding of the underlying Linux and networking concepts, including low-level fundamentals, and how they work together in complex systems

Communication and Leadership Skills:  

• Strong ability to explain complex security concepts to both technical and non-technical teams. Ability to lead a small technical team and ensure success both meeting the team goals as well as personal growth for all team members

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: 1263064630

Staff Security Infrastructure Engineer, Red Team

Within the Product Security team, our Red Team delivers robust security assurance for Okta's products, services, and infrastructure.  You will be the team's dedicated infrastructure and tooling engineer, the first person in this role for a small team of operators. You will work alongside operators but not report through an operator chain; you'll collaborate as a peer focused on a different discipline.

We seek a Staff Security Infrastructure Engineer to own the engineering backbone that enables our operations. This is not a traditional operator role but a dedicated infrastructure, tooling, and automation engineering position embedded within the Red Team.  You will design, build, maintain, and continuously improve the platforms, infrastructure, and custom tooling that our operators depend on to execute engagements.

Your work directly enables the team to operate at a higher maturity level: faster infrastructure deployment, more resilient and OPSEC-aware architecture, automated workflows, and reliable custom tooling, freeing operators to focus on the mission.  Your role will also extend to cultivating stakeholder collaboration and elevating our company’s security posture through strategic engagement and proactive measures.  As the team matures, this role can evolve toward platform leadership, custom capability development, or a hybrid operator/engineer path.

What You Will Do

• Infrastructure Engineering & Automation:
• Own the full lifecycle of red team infrastructure: design, provisioning, configuration, maintenance, and teardown
• Build and maintain Infrastructure-as-Code (IaC) using Terraform (or equivalent) to automate deployment of C2 servers, redirectors, phishing infrastructure, payload-delivery systems, and supporting services.
• Resource and asset lifecycle management through tracking domains, certificates, cloud accounts, recurring expenses, and infrastructure resources; managing acquisition, rotation, and retirement.
• Tooling Development & Maintenance:
• Develop, maintain, and improve custom tools, scripts, and automation to support red team operations (e.g., payload generation pipelines, log aggregation, C2 profile management, infrastructure health checks), providing on-demand infrastructure/tooling support when issues or gaps arise.
• Collaborate closely with operators during engagement planning to understand infrastructure requirements, OPSEC constraints, and operational timelines.
• Building and maintaining a representative test environment for pre-operation validation of tools and tradecraft against a security stack similar to the target.
• Maintaining the team's source code repository with merge/pull request processes, documentation, and code quality standards.
• Ensuring engagement evidence, infrastructure logs, and operational data are centrally collected and accessible for reporting and after-action reviews.
• Contribute to and maintain metrics that demonstrate infrastructure maturity, operational efficiency, and readiness (e.g., deployment time, rebuild time, infrastructure availability during engagements).
• Security & OPSEC:
• Design infrastructure with OPSEC as a first-class requirement: network segmentation, traffic separation between operations, credential management, and access controls 
• Implement and manage secure access to red team infrastructure
• Create and update operational runbooks, infrastructure documentation, and SOPs for the team.
• Maintain clear records of infrastructure ownership and attribution to support deconfliction processes.

What You Bring

Required

• 8+ years of professional experience in infrastructure engineering, DevOps, platform engineering, or a similar role with significant automation responsibilities
• Strong familiarity with Terraform (or equivalent IaC tooling) for multi-cloud infrastructure provisioning and management
• Experience operating in cloud-native, SaaS, or identity-focused environments
• Strong proficiency with configuration management tools (Ansible, or equivalent)
• Proficiency in at least one systems programming or scripting language (Python, Go, Bash) with disciplined development practices (version control, code review, testing, documentation)
• Solid understanding of Linux systems administration, networking fundamentals (DNS, HTTP/S, TCP/IP, proxying, TLS), and cloud platforms (AWS, GCP, or Azure)
• Understanding of OPSEC principles as they apply to offensive infrastructure — you know why redirector chains, domain categorization, traffic separation, and certificate management matter.

Strongly Preferred

• Experience building and maintaining CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, or similar)
• Familiarity with containerization and orchestration (Docker, Kubernetes) as applicable to tooling and lab environments
• Familiarity with C2 frameworks (Cobalt Strike, Mythic, Sliver, or similar) from an infrastructure and deployment perspective — you don't need to operate them, but you need to understand what operators need from the infrastructure
• Familiarity with detection evasion concepts as they relate to infrastructure (e.g., traffic shaping, hosting provider reputation, certificate transparency)

Nice to Have

• Working knowledge of Blue Team operations and related technologies
• Experience with security tool development (implant development, payload engineering, evasion tooling) — this role can grow in that direction
• Familiarity with Red Team maturity models and how infrastructure/tooling capabilities map to organizational maturity 

Note: This is not an operator role. You will not be the person running hands-on-keyboard engagements as your primary function. While you may participate in operations to understand requirements or provide support, your core mission is ensuring the team's infrastructure, workflows, tooling, and automation are reliable, repeatable, and mature. You are the engineering foundation the operators build on.

#LI-TM

#LI-Hybrid

(P22302_3403905)

Tenstorrent is building large-scale AI infrastructure across on-prem data centers and accelerator clusters. This role focuses on automation of provisioning, configuration, and deployment workflows to ensure systems are scalable, reliable, and repeatable.

This role is hybrid in Toronto, ON; Austin, TX; or Santa Clara, CA.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• Experienced in infrastructure automation, DevOps, or systems engineering in large-scale environments.
• Strong hands-on expertise with Ansible and AWX, including playbooks, roles, and automation workflows.
• Proficient in Python, Bash, or similar scripting languages for automation and tooling.
• Comfortable with Linux systems administration and debugging infrastructure issues.
• Familiar with networking fundamentals and CI/CD systems in distributed environments.

What We Need

• Design and maintain automation frameworks using Ansible and AWX for infrastructure provisioning and configuration.
• Build and manage playbooks, roles, inventories, and job templates for scalable system deployment.
• Automate infrastructure across compute nodes, networking components, and system services.
• Integrate automation workflows with internal tooling and CI/CD pipelines.
• Troubleshoot automation pipelines and collaborate with SRE and infrastructure teams on large-scale deployments.

What You Will Learn

• How large-scale AI infrastructure is provisioned and managed across accelerator clusters.
• How automation frameworks scale across complex on-prem and hybrid environments.
• How infrastructure automation integrates with CI/CD and deployment pipelines.
• How distributed systems are configured, deployed, and maintained at scale.
• How operational efficiency is achieved through automation in high-performance environments.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Tenstorrent’s AI Software Infrastructure team builds the platforms that power internal development, orchestrate workloads, and manage large-scale AI hardware across on-prem data centers. This team develops and productionizes infrastructure used both internally and externally on Tenstorrent systems.

This role is hybrid, based out of Toronto, ON; Santa Clara, CA; Austin, TX; Belgrade, Serbia; Warsaw, Poland; or Gdańsk, Poland.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• Strong backend or infrastructure engineer with experience building and operating platforms on bare-metal or on-prem systems.
• Deep experience with Kubernetes, including cluster provisioning, operations, and debugging production issues.
• Proficient in Python or Go with experience building APIs and services.
• Comfortable with Linux systems, networking fundamentals, and debugging distributed systems.
• Collaborative and adaptable, able to work across teams in fast-moving environments.

What We Need

• Design, build, and maintain infrastructure platforms for development workflows, workload orchestration, and ML services.
• Develop APIs and services that enable internal teams to interact with infrastructure systems.
• Productionize and scale Kubernetes-based platforms, including cluster management and operational maturity.
• Integrate automation workflows using CI/CD pipelines and infrastructure-as-code tools such as Ansible and GitOps frameworks.
• Collaborate with SRE, infrastructure, and deployment teams to support large-scale on-prem and customer-facing environments.

What You Will Learn

• How large-scale AI infrastructure is built and operated on custom accelerator hardware.
• Advanced Kubernetes patterns including operators, controllers, and production-scale cluster management.
• How on-prem data center infrastructure differs from cloud-native environments at scale.
• How infrastructure platforms evolve from internal tools to production-grade external systems.
• How cross-functional teams coordinate to deploy and support AI systems in real-world environments.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

As a Data Engineer on the Mapping team, you will collaborate with our world class team of engineers, product managers, and data scientists to grow and improve the quality of recommended routes and accuracy of our travel time estimations. You will architect, build, and maintain scalable data pipelines and services to support route simulation, experimentation, analytics, and machine learning models. Your work will enable integration with partner teams and allow stakeholders across Engineering, Data Science, and Product to make data-informed decisions that directly impact Lyft’s growth and profitability.

Our technology stack is based on the latest technologies such as AWS, Kubernetes and Apache Airflow. You will work with incredibly passionate and talented colleagues from software engineering, machine learning and data science on projects that directly impact millions of riders and drivers.

Responsibilities

• Owner of the core data pipelines in mapping, responsible for scaling up data processing flow to meet the rapid data growth at Lyft
• Develop strong subject matter expertise in the systems you manage, setting and managing SLAs for both data pipeline and datasets
• Continuously evolve data models and schemas to meet business and engineering requirements
• Develop tools that support self-service management of data pipelines (ETL), schema evolution, and perform SQL tuning to optimize data processing performance
• Write clean, well-tested, and maintainable code, prioritizing scalability and cost efficiency
• Conduct code reviews to uphold code quality standards and facilitate knowledge sharing
• Participate in on-call rotations to maintain high availability and reliability of data workflows
• Unblock, support and communicate with internal & external partners to achieve results

Experiences

• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field
• 4+ years of relevant professional experience
• Strong experience with Spark and with a scripting language (Python, Ruby, Bash)
• Exceptional analytical skills, with an in-depth understanding of data quality issues and the ability to dive into complex datasets to resolve inconsistencies
• Excellent communication skills, with the ability to articulate technical concepts clearly to both technical and non-technical audiences while collaborating effectively across teams
• Experience with disparate database, querying and streaming technologies such as S3, DynamoDB, HDFS, Hive, Presto, Pig, HBase, Parquet, Iceberg, Flink, Spark Streaming, Kafka
• Experience with data quality tools such as Great Expectations, dbt, Monte Carlo, Soda, Collibra
• Strong understanding of SQL Engine, experience with querying geospatial data, and able to conduct advanced performance tuning
• Proficient in at least one of the SQL languages (MySQL, PostgreSQL, SqlServer, Oracle)
• Experience with workflow management tools (Airflow, Oozie, Azkaban, UC4, Prefect)
• Experience with infra tooling (Terraform, Cloud Formation, Docker, Kubernetes, Ansible, Chef, Puppet etc preferably in an AWS context) 
• Experience defining API schemas and developing backend services in a microservices environment

Benefits

• Extended health and dental coverage options, along with life insurance and disability benefits
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• Access to a Lyft funded Health Care Savings Account
• RRSP plan with company match to help save for your future
• In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service 
• Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
• Subsidized commuter benefits and Lyft ride credits

Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.  Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Toronto area is CAD $108,000 - CAD $135,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.

This job fills an existing vacancy.

About the Role:

Site Reliability Engineering (SRE) at Tubi is not a traditional operations team. We are a software engineering organization that applies a developer's mindset and toolkit to the challenges of building and running large-scale, distributed systems. Our mission is to engineer resilience from the ground up, enabling our product teams to innovate rapidly while ensuring our users have a stellar experience. We own the availability, latency, performance, and capacity of our platform, and we achieve our goals through a culture of data-driven decision-making, blameless learning, and relentless automation.

We are seeking an experienced and visionary Senior SRE Manager to lead and grow our newly built Site Reliability Engineering team. You are more than a people manager or a tech lead; you are the strategic leader responsible for architecting our reliability roadmap. You will build and mentor a team of talented engineers, foster a culture of blameless learning and continuous improvement, and champion the engineering practices that allow us to balance rapid innovation with rock-solid stability. You will be a key influencer in our engineering leadership, partnering with peers across the organization to ensure reliability is a shared responsibility and a core tenet of our engineering culture.

What You'll Do:

• Team Leadership & Mentorship:
  • Lead, mentor, and grow a team of Site Reliability Engineers. Foster a culture of innovation and technical excellence where engineers feel empowered to do their best work. Provide personalized coaching, create professional development plans, and guide the careers of senior and emerging talent within the team.
  • Establish equitable, sustainable on-call practices (including global coverage where applicable) that protect focus time and avoid burnout.
  • Define team rituals - runbook reviews, game days, and incident retros - that reinforce quality and learning.
• Strategic Planning & Vision: Define and drive the multi-year technical strategy and vision for Tubi’s observability, and automation platforms. Partner with infra lead to align Tubi’s infrastructure & SRE roadmap. Partner with tech leaders to align the SRE roadmap with business objectives. Champion a data-driven approach to reliability, using Service Level Objectives (SLOs) and error budgets to facilitate productive conversations about risk and feature velocity.
• Operational Excellence & Incident Management: 
  • Own the end-to-end availability, performance, and efficiency of our critical user-facing services. Evolve our incident response practice to reduce Mean Time to Resolution (MTTR) and Mean Time Between Failures (MTBF). Champion a rigorous, blameless, and data-driven post-mortem culture to ensure we learn from both successes and failures, driving eng teams for systemic fixes and automation to prevent the recurrence of incidents.
  • Streamline and improve our existing processes and practices, and collaborate with other teams to enhance our production release standards by improving current processes.
  • Define and tune a 24×7 on-call rotation for low noise and fast response; act as executive escalation partner during major incidents.
  • Own disaster-recovery strategy (playbooks, failover drills, recovery simulations) and track SLO gaps with time-bound remediations.
• Financial & Vendor Management: Own the SRE budget, tooling, and headcount. Manage relationships with key third-party vendors for our observability and SRE related AI platforms, work with infra lead and finance team for contract negotiations and ensure we derive maximum value from our investments.
• Cross-Functional Collaboration: Act as a key influencer and strategic partner to leaders in Software Engineering, Product Management, and Infra/Sec. Drive the adoption of SRE best practices and principles throughout the organization, ensuring new services are designed for reliability, scalability, and observability from day one.
• The AI Mandate: Building the Future of Observability with AI. You will not just manage a team that uses AI; you will lead the charge in building an AI-native SRE function. This is a strategic mandate that requires a forward-thinking leader who understands both the potential and the pitfalls of integrating intelligent systems into critical operations. This includes:
  • AIOps Strategy Development: Developing and executing the strategy for integrating AIOps and machine learning into our observability stack. Your goal will be to move the team from a reactive monitoring posture to one of predictive maintenance and automated anomaly detection, fundamentally changing how we ensure reliability.
  • Accelerating Automation with AI: Championing the effective and responsible use of AI-assisted coding tools (e.g., Claude Code, Cursor) within the SRE team. You will set the standards and practices to leverage these tools to accelerate the development of automation, operational tooling, and infrastructure code.
  • Building the Business Case: Building the techno-economic case for new AI tooling, managing vendor relationships, and ensuring the cost-effective and secure implementation of these powerful systems. You must be able to articulate the ROI of these investments in terms of reduced downtime, improved operational efficiency, and faster incident resolution.
  • Fostering Critical AI Literacy: Fostering a culture that can critically evaluate, debug, and learn from the outputs of AI systems. This involves extending our blameless post-mortem philosophy to AI-driven actions and recommendations, ensuring that the team remains in control and understands the "why" behind automated decisions.

Your Background:

• 8+ years of experience in a technical field, with at least 3+ years in an engineering leadership position managing SRE, DevOps, or Production Engineering teams.
• A deep, principled understanding of SRE tenets, including Service Level Indicators (SLIs), SLOs, error budgets, toil reduction, and capacity planning.
• Exceptional communication, negotiation, and influencing skills, with the ability to articulate complex technical concepts and strategies to both technical and non-technical stakeholders at all levels of the organization.
• A strong technical background as a hands-on software engineer or site reliability engineer prior to moving into management. Deep knowledge of AWS services (especially networking, IAM, EKS, ALBs/NLBs, Route 53, CloudWatch). Proven experience with Kubernetes in production (EKS preferred), including service exposure, networking, and availability engineering.
• Hands-on familiarity with modern SRE tools and technologies, including Infrastructure as Code (e.g., Terraform, Ansible), container orchestration (Kubernetes), observability platforms (e.g., Prometheus, Grafana, Datadog, Splunk), and incident tooling (e.g., PagerDuty, FireHydrant), deployment-safety tooling (e.g., Argo Rollouts, LaunchDarkly), and observability standards (e.g., OpenTelemetry).

#LI-BT1

#LI-Hybrid 

Who We Are
At Momentum Financial Services Group, we help people move forward by reimagining how money works for those who need it most. With more than 40 years of experience, we’re the team behind Money Mart—Canada’s largest non-bank branch network—and a leader in financial solutions for underserved communities.

From short-term loans to money transfers and prepaid cards, we power the products, technology, and operations that connect millions of customers each year to the money they need, when they need it.

At MFSG, we work together across teams and functions to create something bigger than ourselves: solutions that remove barriers and give people access to money they might not get anywhere else. Whether you’re solving problems, building systems, or shaping strategy, your work fuels real support for real people.

We’ve Got You Covered

• Compensation Philosophy – Competitive pay aligned with experience and market standards
• Discretionary Annual Bonus – Rewarding both individual and company performance
• Comprehensive Benefits – Health and dental coverage with premiums fully paid, plus access to an Employee Assistance Program
• Retirement Plans – Helping you plan and save for the future
• Hybrid Work Environment – Flexibility to balance remote and in-office collaboration; enjoy our corporate HQ spaces designed for teamwork and creativity
• Perks and Rewards – Tuition reimbursement, professional development support, discounts through Perkopolis, and recognition programs that celebrate your impact

The Job: Site Reliability Engineer

The Site Reliability Engineer is responsible for ensuring the availability, performance, and resilience of the organization's digital banking and financial services platforms. This role focuses on automating operational processes, defining and maintaining service-level objectives, and engineering systems that can withstand and recover from failure. You will work closely with engineering, DevOps, QA, cybersecurity, and compliance teams to ensure platform reliability meets both technical and regulatory standards, while minimizing risk to production systems through proactive monitoring, incident response, and continuous improvement of the software delivery lifecycle.

How You’ll Make an Impact: 

Reliability Planning & Governance

• Define and maintain service-level objectives (SLOs), error budgets, and reliability targets aligned with business goals and compliance deadlines.
• Oversee the end-to-end service lifecycle, from code integration to production deployment, with a focus on stability and risk reduction.
• Ensure all changes comply with relevant financial regulations.
• Conduct reliability risk and blast-radius assessments before production changes.
• Coordinate go/no-go decisions with engineering, QA, compliance, and operations stakeholders.

Execution & Delivery

• Own build, test, and deployment pipelines across multiple environments (staging, UAT, production), ensuring changes are safe, repeatable, and observable.
• Design and maintain automated CI/CD pipelines and enforce version control policies (e.g., Git Flow) to reduce toil and human error.
• Engineer zero-downtime deployments and low-impact change strategies for high-availability systems.
• Develop and maintain rollback, failover, and disaster recovery runbooks for production incidents.

Compliance & Security Oversight

• Collaborate with Information Security and Compliance teams to validate that infrastructure and deployment practices meet data protection and privacy standards.
• Maintain audit-ready documentation of change activity, incident timelines, and remediation records.
• Support internal and external audits with detailed operational and change history.

Continuous Improvement

• Drive automation, standardization, and observability improvements across the production environment.
• Conduct post-incident reviews (blameless post-mortems) to identify systemic failures and prevent recurrence.
• Contribute to DevOps and SRE maturity initiatives across engineering teams.

Stakeholder Communication

• Act as the central liaison between product, development, and compliance teams on production health and change risk.
• Communicate change scope, reliability risks, and incident status clearly to both technical and non-technical stakeholders.
• Provide regular reliability reporting, SLO performance metrics, and incident trends to senior management.

What You Bring:

Technical Proficiency:

• CI/CD tools
• Cloud platforms (AWS, Azure).
• Containers and orchestration (Docker, Kubernetes).
• Scripting languages (Python, Bash).
• Infrastructure as Code (Terraform, Ansible).
• Observability and monitoring tools

Soft Skills:

• Strong cross-functional collaboration and communication across engineering and compliance teams.
• Rigorous attention to detail with a proactive approach to risk and failure detection.
• Ability to perform under pressure and respond decisively during incidents and regulatory deadlines.

Education + Experience:

• Bachelor's degree in Computer Science, Information Technology, or related field.
• 3-5 years in Site Reliability Engineering, DevOps, or Platform Engineering within financial services or fintech.
• Hands-on experience maintaining reliability for real-time transaction systems, mobile banking, or payment gateways.
• Familiarity with regulatory compliance requirements and their operational implications for production systems.

Ready to apply your Site Reliability Engineering expertise to make a real impact? Join us and help shape the future of tech at MFSG. Apply today and let’s build the future of MFSG, together.

Committed to Equal Opportunity: 
 
MFSG is committed to accommodating applicants up to the point of undue hardship during the recruitment, assessment and selection process. If you are selected for an interview, please notify MFSG if you require accommodation in respect of the materials or procedures used at any time during this process. If you require accommodation, MFSG will work with you to determine how to meet your needs. 

Please note: The salary range for this position is between C$ 110,000 to C$ 120,000. 

About the Role:

Rumble Cloud is seeking a Principal Database Architect to own the architecture, technical direction, and successful delivery of our Database as a Service (DBaaS) offering within our public cloud platform. This role will take over a product already in active development and guide it through hardening, integration, launch, and global scale-out. You will be responsible for shaping the long-term technical roadmap of the service, ensuring it is secure, reliable, performant, and operable at scale for customers worldwide. You will work closely with our development team, engineering team, and early adopter customers to refine the design, drive high-quality implementation, and build the patterns and practices that future engineers will follow.

Key Responsibilities:

• Own the end-to-end architecture of the DBaaS product, including multitenancy, high availability, disaster recovery, backup/restore, observability, and security.
• Review and influence existing epics, stories, and technical designs, identifying gaps and driving improvements.
• Define and maintain architectural standards and patterns for databases across our public cloud (provisioning, configuration, lifecycle management, monitoring, security).
• Work closely with platform, networking, and security teams to integrate DBaaS into our cloud infrastructure, including identity, networking, billing, self-service, and automation.
• Collaborate with Product Management to align technical roadmap with product vision, SLAs/SLOs, and customer requirements.
• Serve as the highest-level technical escalation point for DBaaS-related issues in development, staging, and production environments.
• Support onboarding and success of early “friendly” customers: assist with deployments, performance tuning, troubleshooting, and architecture guidance.
• Define and evolve operational runbooks, incident response patterns, and SRE practices for the DBaaS platform.
• Mentor and coach other engineers and architects as we build an internal team around the service, raising the overall bar for database and data platform expertise.
• Establish and enforce security, compliance, and data protection best practices for the DBaaS offering (encryption, access control, auditing, regulatory considerations).
• Participate in capacity planning and cost optimization, ensuring the service is economically viable at scale.
• Conduct periodic architecture reviews and post-incident reviews, driving continuous improvement in reliability and customer experience.
• Support and advise internal teams on the operation, performance, and troubleshooting of existing database clusters, in addition to primary ownership of the DBaaS platform.

Required Skills & Experience:

• Expert-level experience in database engineering, data platforms, or infrastructure, with significant ownership of production database systems or services.
• Deep expertise with at least one major relational database engine (e.g., PostgreSQL, MySQL, MariaDB, or similar), including replication, backup/restore, performance tuning, and operational best practices.
• Solid understanding of cloud infrastructure concepts, including compute, networking, storage, and security in public cloud or large private cloud environments.
• Experience integrating databases or DBaaS-like offerings with cloud control planes, APIs, and automation/orchestration systems.
• Strong background in reliability engineering for data services (monitoring, alerting, SLOs, incident management, capacity planning).
• Familiarity with security and compliance requirements for database services (encryption at rest/in transit, access control, auditing, data retention, regulatory considerations).
• Proficiency with infrastructure-as-code and automation tools (e.g., Terraform, Ansible, or similar) and comfort working with CI/CD pipelines.
• Scripting or programming skills (e.g., Python, Go, Bash or similar) for automation, tooling, and integration.
• Proven track record of technical leadership: influencing designs across teams, mentoring engineers, and making clear trade-off decisions.
• Excellent communication skills, with the ability to work effectively with external vendors, internal stakeholders, and customers.

Nice to Have (Preferred Skills):

• Strong, hands-on expertise with both MySQL and PostgreSQL databases.
• Experience designing or operating multi-tenant, high-availability, and distributed database architectures in a cloud or large-scale environment.
• Experience designing or operating a DBaaS offering (e.g., Amazon RDS/Aurora, Azure Database, Cloud SQL, or similar managed services).
• Knowledge of NoSQL or specialized data stores (e.g., Redis, MongoDB, Cassandra) and when to apply them.
• Experience in Kubernetes-based data workloads, operators, or stateful services.
• Familiarity with multi-region architectures, data residency, and geo-replication patterns.
• Exposure to observability stacks (e.g., Prometheus, Grafana, ELK/OpenSearch, OpenTelemetry) for data services.
• Relevant certifications in databases, cloud architecture, or security are a plus.

Qualifications:

• Demonstrated success owning the architecture and technical direction of a mission-critical platform or service.
• Strong customer empathy and a track record of working directly with users or customers to solve complex technical problems.
• Ability to operate at both strategic and hands-on levels, from roadmap and design reviews down to debugging complex production issues.

Annual Compensation Range: 

$185,000 -  $265,000 USD base + benefits + equity (If based in the United States)

$170,000 -  $200,000 USD base + benefits + equity (If based in Canada)

Note: The salary range listed for this position is a good faith estimate based on experience, qualifications, and internal compensation structure. The actual salary offered varies depending on the candidate's skill level and experience. This posting refers to an active vacancy within the organization.

Platform Engineering Lead builds and operates Rumble’s Internal Developer Platform (IDP) as an internal product that abstracts infrastructure complexity, standardizes golden paths,
and accelerates developer velocity while supporting both DevOps and SRE practices

Key Responsibilities
• Lead the Platform Engineering Team.
• Design, deliver, and continuously evolve the self-service IDP: CI/CD golden paths, IaC templates (Terraform/Ansible), Kubernetes abstractions, pre-configured environments, monitoring
integrations, code repository environment and cloud-resource abstractions for Rumble Cloud.
• Treat the IDP as a product: run user interviews with Development and Production Ops squads, maintain a public roadmap, and measure success by developer velocity metrics (e.g.,
deployment frequency, lead time).
• Embed secure development hygiene, AI-augmented workflows (with mandatory Human-in-theLoop), and Behavior-Driven Development practices into the platform tools.
• Collaborate with the Site Reliability Engineering (SRE) team so the IDP itself is reliable in production (shared ownership model: Platform owns design & evolution; Site Reliability
Engineering (SRE) owns runtime reliability).
• Eliminate toil and duplication across products so cross-functional squads can self-serve deployments, scaling, and observability without reinventing infrastructure.
• Apply Theory of Constraints (TOC) to platform adoption bottlenecks and drive quarterly governance reviews with the Platform Steering Committee.

Required Qualifications
• Strong demonstrable experience building internal platforms or developer-experience tools at
scale.
• Strong background in Kubernetes, GitOps, Infrastructure-as-Code, and self-service portals.
• Product-management mindset (roadmap ownership, customer feedback loops).
• Experience integrating AI tools into engineering workflows while preserving human oversight.
• Familiarity with secure development hygiene (NIST 800-218).
• Cloud-native and automation-first engineering culture.
• Strong leadership

Annual Compensation Range: 

$125,000 - $155,000 USD base + benefits + equity (If based in the United States)

$110,000 - $145,000 CAD base + benefits + equity (If based in Canada)

Note: The salary range listed for this position is a good faith estimate based on experience, qualifications, and internal compensation structure.

The actual salary offered varies depending on the candidate's skill level and experience. 

This posting refers to an active vacancy within the organization.

About the Role:

Rumble Cloud is seeking a Kubernetes Engineer to support our team in rolling out and operating our next-generation Kubernetes platform. This role will focus on our new CAPI/CAPO-based Kubernetes solution, which is designed to be compatible with our existing OpenStack Magnum API and will be deployed across our public cloud. You will help run the day-to-day operations of the Kubernetes service, assist with migrations and onboarding from our current Magnum-based offering, and act as an escalation point for complex customer issues that go beyond front-line support. This is a hands-on engineering role for someone who enjoys debugging difficult problems, improving reliability, and working closely with both platform engineers and customer-facing teams.

Key Responsibilities:

• Operate and maintain Rumble Cloud’s Kubernetes platform, including our new CAPI/CAPO-based installation and its integration with the OpenStack Magnum API.
• Assist in the rollout, migration, and upgrade processes as customers transition from the existing Magnum-based solution to the new platform.
• Serve as an escalation point for customer support, troubleshooting complex Kubernetes and cluster lifecycle issues.
• Monitor the health, performance, and capacity of Kubernetes clusters and underlying infrastructure; assist in incident response and root cause analysis.
• Implement and maintain day-2 operations processes, including backup/restore, scaling, patching, and cluster upgrades.
• Collaborate with the Kubernetes Architect to implement standards, best practices, and reference patterns for cluster configuration and operations.
• Help manage and integrate container registries, identity, networking, and storage components required for the Kubernetes platform.
• Automate repetitive operational tasks using scripting and infrastructure-as-code tools.
• Contribute to and maintain runbooks, documentation, and knowledge base articles for both internal teams and customer-facing support.
• Provide feedback from operations and customer interactions to influence platform improvements and product roadmap.

Required Skills & Experience:

• Extensive experience in Linux systems engineering, cloud engineering, or platform/SRE roles, including hands-on work with Kubernetes in production environments.
• Practical experience with installing, operating, and troubleshooting Kubernetes in production environments.
• Experience working with Kubernetes on OpenStack or other cloud providers.
• Familiarity with Cluster API (CAPI) and/or Cluster API Provider OpenStack (CAPO), or strong willingness to ramp up quickly.
• Strong understanding of Linux, containers, and container runtimes (e.g., Docker, containerd).
• Experience with Kubernetes networking, storage, and ingress concepts (CNI, CSI, load balancers, ingress controllers).
• Hands-on experience with scripting and automation (e.g., Bash, Python, or Go) for operational tasks.
• Familiarity with configuration management and IaC tools such as Ansible and Terraform.
• Experience with monitoring and logging in Kubernetes environments (e.g., Prometheus, Grafana, ELK/Graylog, or similar).
• Strong troubleshooting skills, clear written documentation, and effective communication with both technical and non-technical stakeholders.

Nice to Have (Preferred Skills):

• Experience with OpenStack Magnum and its Kubernetes integrations.
• Experience operating Kubernetes on other public cloud platforms (EKS, AKS, GKE).
• Knowledge of Ceph, S3-compatible storage, and their use with Kubernetes.
• Understanding of application architectures on Kubernetes, including microservices and 12-factor applications.
• Exposure to CI/CD toolchains (e.g., Git, GitLab/Jenkins, Artifactory, etc.) for containerized workloads.
• Experience with security hardening and best practices for Kubernetes (RBAC, PodSecurity, network policies, image scanning).

Qualifications:

• Demonstrated experience operating production Kubernetes clusters and working as part of a cross-functional cloud/platform team.
• Ability to work effectively under pressure, handle escalations, and maintain a strong customer-focused mindset.
• Passion for continuous learning in Kubernetes, cloud-native tooling, and automation.

Annual Compensation Range: 

Note: The salary range listed for this position is a good faith estimate based on experience, qualifications, and internal compensation structure. The actual salary offered varies depending on the candidate's skill level and experience. This posting refers to an active vacancy within the organization.

Rumble is seeking an experienced Infrastructure Engineer (Data Center) responsible for the operation, maintenance, and optimization of critical data center infrastructure.

As a key member of the Data Center Services Team, you will:

• Build, configure, and deploy physical and virtual servers for various applications.
• Perform ongoing maintenance, upgrades, and health checks on servers.
• Develop and run scripts for automation of administrative and configuration management tasks (Ansible, Terraform).
• Perform OS and security patching and upgrades.
• Diagnose and resolve system issues efficiently and effectively.
• Monitor infrastructure-related tickets and respond within established SLAs.
• Create and maintain clear technical documentation, processes, and procedures.
• Travel to data center locations as required to support operations.

Required Qualifications

• 3+ years of experience working with and building virtual machine–based solutions.
• 3+ years of experience building container-based solutions.
• 3+ years of hands-on Linux administration experience (RHEL, Ubuntu, Rocky), including enterprise server administration (hardware and OS).
• Ability to work independently as well as collaboratively on a high-performing team.
• Strong communication skills and proficiency in documentation.
• Ability to think creatively and propose non-traditional or innovative solutions. And has the capacity to implement in a timely manner.

Preferred Qualifications

• Familiarity with security and compliance
• Experience with Proxmox or similar open-source virtual machine environments and containers.
• Working knowledge of installation and basic administration of open-source databases.
• Networking experience (load balancing, firewalls, DNS).
• Strong awareness of security and compliance best practices.
• Python and Bash scripting experience.
• Familiarity with Disaster Recovery / Business Continuity (DR/BC) processes.

Desired Qualifications

• Linux certification, CompTIA A+, or equivalent technical experience.
• Experience with one or more programming languages.

Annual Compensation Range: 

$107,000 - $134,000 USD base + benefits + equity (If based in the United States)

$84,000 - $106,000 CAD base + benefits + equity (If based in Canada)

Note: The salary range listed for this position is a good faith estimate based on experience, qualifications, and internal compensation structure. The actual salary offered varies depending on the candidate's skill level and experience. This posting refers to an active vacancy within the organization.