We are hiring an experienced Security Software Engineer (Staff or Senior) for our Infrastructure Security team to design and build scalable security controls and services within MongoDB Atlas multi-cloud infrastructure.

The team sits within the Site Reliability Engineering organization and works with other engineering teams to ensure that our infrastructure adheres to the highest security standards.

This role can be based out of our New York City, Austin, Seattle or San Francisco offices, or work fully remotely on standard East Coast business hours.

Responsibilities:

• Design and build core security primitives and services that protect MongoDB Atlas compute, networking, and identity across AWS, Azure, and GCP
• Build secure-by-default infrastructure using Linux security mechanisms (AppArmor, SELinux, seccomp, cgroups), Kubernetes, and eBPF to enforce runtime policies and gain deep visibility into systems behaviour
• Develop APIs, automation, and tooling that manage security posture at scale (CSPM, vulnerability management, workload identity) and provide monitoring, logging, and alerting pipelines that integrate with our tooling (Grafana, Splunk, Victoria Metrics.)
• Integrate security into our CI/CD and infrastructure-as-code workflows (Terraform) so that security controls are versioned, reviewed, and deployed just like any other code
• Lead complex projects end‑to‑end, from problem discovery and design docs to implementation, rollout, and long‑term ownership
• Collaborate with SRE, platform and product engineering teams to define secure architectures for new infrastructure and services

Qualifications:

You might be a great fit if you match some of the following:

• 5+ years of experience in Software Engineering, Site Reliability Engineering, or similar roles, preferably with relevant security work
• Proficiency with at least one programming language (Java, Golang, Rust, Python, or C/C++) and experience with infrastructure-as-code tools (Terraform) to automate security configurations and processes
• A deep understanding of Linux and networking concepts, including low-level fundamentals, and how they work together in complex systems
• Experience building security-related features or platforms such as runtime monitoring, CSPM, or vulnerability management
• Experience with a cloud provider (AWS, GCP, or Azure) and their security best practices and building blocks
• Hands-on experience with Kubernetes and its security ecosystem (e.g. RBAC, OPA/Gatekeeper, Kyverno, eBPF, Falco, Tetragon)
• A systems mindset: you think about failure modes, performance, observability, and operability alongside security and correctness
• Strong communication skills and the ability to explain complex security concepts and tradeoffs to both technical and non-technical stakeholders

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: 2263171228

We are hiring an experienced Security Software Engineer (Staff or Senior) for our Infrastructure Security team to design and build scalable security controls and services within MongoDB Atlas multi-cloud infrastructure.

The team sits within the Site Reliability Engineering organization and works with other engineering teams to ensure that our infrastructure adheres to the highest security standards.

This role can be based out of our Dublin office, or work fully remotely in Ireland.

Responsibilities:

• Design and build core security primitives and services that protect MongoDB Atlas compute, networking, and identity across AWS, Azure, and GCP
• Build secure-by-default infrastructure using Linux security mechanisms (AppArmor, SELinux, seccomp, cgroups), Kubernetes, and eBPF to enforce runtime policies and gain deep visibility into systems behaviour
• Develop APIs, automation, and tooling that manage security posture at scale (CSPM, vulnerability management, workload identity) and provide monitoring, logging, and alerting pipelines that integrate with our tooling (Grafana, Splunk, Victoria Metrics.)
• Integrate security into our CI/CD and infrastructure-as-code workflows (Terraform) so that security controls are versioned, reviewed, and deployed just like any other code
• Lead complex projects end‑to‑end, from problem discovery and design docs to implementation, rollout, and long‑term ownership
• Collaborate with SRE, platform and product engineering teams to define secure architectures for new infrastructure and services

Qualifications:

You might be a great fit if you match some of the following:

• 5+ years of experience in Software Engineering, Site Reliability Engineering, or similar roles, preferably with relevant security work
• Proficiency with at least one programming language (Java, Golang, Rust, Python, or C/C++) and experience with infrastructure-as-code tools (Terraform) to automate security configurations and processes
• A deep understanding of Linux and networking concepts, including low-level fundamentals, and how they work together in complex systems
• Experience building security-related features or platforms such as runtime monitoring, CSPM, or vulnerability management
• Experience with a cloud provider (AWS, GCP, or Azure) and their security best practices and building blocks
• Hands-on experience with Kubernetes and its security ecosystem (e.g. RBAC, OPA/Gatekeeper, Kyverno, eBPF, Falco, Tetragon)
• A systems mindset: you think about failure modes, performance, observability, and operability alongside security and correctness
• Strong communication skills and the ability to explain complex security concepts and tradeoffs to both technical and non-technical stakeholders

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 over 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 is an equal opportunities employer.

Req ID: 426183

The Team

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 Fleet Management team provides the core runtime environment that empowers our developers to build and ship products to delight our customers. We manage the end-to-end lifecycle of our Kubernetes fleet, alongside the critical components that ensure cluster reliability and security (e.g., CoreDNS, cert-manager, and Gatekeeper). As our infrastructure scales to support new use cases and products, we are spearheading a migration from Terraform-based Infrastructure as Code (IaC) to an Operator-driven lifecycle management model.

This role can be based out of our Austin, Boston, Los Angeles, New York City, Raleigh, or San Francisco offices, remotely in the United States region, or our European office in Dublin.

Responsibilities

• Contribute to developing and maintaining a scalable and secure runtime environment on top of Kubernetes that supports product needs across MongoDB
• Provide internal support for our Kubernetes ecosystem, partnering with engineering teams to help them solve domain-specific problems
• Participate in a 24/7 on-call rotation to resolve critical issues
• Prioritize blameless post-mortems and dedicate engineering time to systemic fixes, ensuring you aren’t paged for the same issue twice

You may be a good fit if you

• Have 6+ years of experience in software development and operating distributed systems
• Are proficient in Go, Python, or a similar language, with a strong commitment to code quality and testing practices (writing unit, integration, and E2E tests)
• Have deep experience using and extending containerization technologies, preferably Kubernetes
• Have a solid understanding of Linux operating system internals and networking concepts (e.g., filesystems, TCP/IP, DNS, TLS)
• Possess a customer focused mindset, treating internal developers as your primary users
• Have strong operational ownership, including a track record of debugging complex production issues and driving them to resolution
• Prefer automation over manual processes ("allergic to ops work")
• We are a small team of software engineers with a strong bias toward building software solutions to eliminate toil

Strong candidates may also have experience with

• Designing and implementing secure, multi-tenant runtime environments from first principles
• Proficiency with Kubernetes ecosystem tools such as Helm, Kustomize, Gatekeeper, Kyverno, and CRDs/Operators, CRI, CSI
• Expertise in cloud infrastructure platforms, including AWS, GCP, or Azure
• Proficiency in provisioning infrastructure using tools like Terraform, Crossplane, and AWS Controllers for Kubernetes (ACK)
• Advanced Linux systems internals and networking concepts specifically relevant to containers, such as namespaces and cgroups

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 over 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: 426182

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

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 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 over 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: 1273396252

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)

Our Tensix team is building custom AI compute cores, RISC-V CPUs, and chiplet-based architectures for datacenter, edge, and automotive AI. Design Verification Engineers on this team validate compute IP and subsystems and build scalable DV infrastructure to keep verification fast, automated, and production-grade.

This role is hybrid, based out of Toronto, ON or Austin, TX.

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 modern verification methodologies with strong SystemVerilog skills and exposure to structured testbench development.
• Comfortable working from block-level to system-level verification and reasoning about microarchitecture behavior from specs and waveforms.
• Proficient in Linux environments with Python, or Bash scripting for automate builds, parse logs, manage CI pipelines.
• Skilled in coverage-driven verification and confident debugging across RTL, testbench, and workload scenarios.
• Motivated by AI hardware and eager to learn verification strategies for new architectures and domains.

What We Need

• Contribute to verification of Tensix IP and subsystems from early planning through tape-out, owning coverage goals and driving them to closure.
• Build and maintain reusable verification environments, agents, scoreboards, and supporting infrastructure in SystemVerilog and Python.
• Develop constrained-random and directed tests and close functional, code, and assertion coverage using data-driven approaches.
• Debug complex issues across RTL and testbench while collaborating with design, firmware, compiler, and architecture teams.
• Help evolve DV infrastructure including regression flows, CI/CD integration, EDA compute environments, and reproducible setups.

What You Will Learn

• How Tenstorrent verifies AI-native compute architectures including Tensix cores, RISC-V CPUs, matrix units, vector units, and datapath.
• How simulation, emulation, and software-driven workloads combine to validate both functional correctness and performance.
• How numerical precision formats such as BF16, FP4, and INT8 and on-chip dataflow impact verification complexity and coverage strategy.
• How to build scalable DV infrastructure across hybrid compute environments including containerized regression systems.
• How data analytics and modern AI tooling can enhance verification workflows and accelerate convergence.

Tenstorrent is building large-scale AI systems across internal clusters and customer deployments. This role sits at the intersection of site reliability, infrastructure operations, and customer engineering, ensuring our systems are reliable, observable, and production-ready.

This role is hybrid, based out of 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 site reliability, infrastructure, or systems engineering in distributed environments.
• Strong Linux systems knowledge with the ability to troubleshoot complex multi-layer issues.
• Proficient with observability tools such as Prometheus, Grafana, and alerting systems.
• Comfortable with scripting and automation using Python, Go, or similar languages.
• Solid understanding of networking fundamentals and how systems behave at scale.

What We Need

• Ensure reliability and operational health of Tenstorrent systems across internal and customer environments.
• Troubleshoot complex issues across compute, networking, and software layers.
• Partner with engineering teams and customers to resolve production incidents.
• Design and improve monitoring, observability, and alerting systems.
• Build automation to reduce operational toil and improve system reliability.

What You Will Learn

• How large-scale AI infrastructure is operated across internal clusters and customer deployments.
• How distributed systems behave under real-world production conditions.
• How observability and automation drive reliability at scale.
• How hardware, networking, and software systems interact in AI environments.
• How customer-facing AI infrastructure is deployed, supported, and optimized.

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.

Join our innovative team as a Director, Systems & Solutions where you'll play a pivotal role in deploying and optimizing cutting-edge computer systems and AI hardware. If you have a passion for hardware technologies, including accelerators, CPUs, GPUs, and thrive in a dynamic, hands-on technical environment, we would love to hear from you. In this role you will be leading a team and helping us scale our customer base.

This role is hybrid, based out of Santa Clara, CA; Austin, TX or Toronto, ON.

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

• A hands-on manager with a deep understanding of computer systems and AI hardware, driven by curiosity and a passion for performance.
• You’re comfortable getting into the technical details - from CPU and GPU architecture to firmware and drivers and thrive in dynamic, hands-on environments.
• You excel at problem solving and enjoy working directly with customers to implement and optimize advanced computing solutions.
• You communicate clearly, collaborate effectively across teams, and take pride in delivering reliable, high-quality systems.
• You’re motivated by impact - eager to see your work come to life in the next generation of AI and high-performance compute deployments.

What We Need

• Strong experience with computer hardware and system architecture, including CPUs, GPUs, FPGAs, and AI accelerators.
• Deep understanding of Linux operating systems, with experience in configuration, performance optimization, and administration.
• Proficiency in system software, including drivers, firmware, and related hardware-level tools.
• Working knowledge of electrical systems, including wiring, cabling, and thermal management.
• The ability to travel up to 50% of the time both domestically and internationally. 

What You Will Learn

• How to deploy, validate, and optimize AI compute systems at scale across diverse customer environments.
• End-to-end exposure to hardware-software integration, from firmware and drivers to full system bring-up.
• Hands-on experience with accelerator-based architectures and cutting-edge hardware design.
• Collaboration with world-class engineering teams building open, high-performance systems based on RISC-V and modular chiplet architectures.
• The opportunity to directly shape how customers adopt and scale next-generation AI and HPC hardware, helping push the boundaries of performance and efficiency.
  
  

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.

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.

We are hiring a talented software engineer to help us build the next generation of photonic AI processors and interconnects. In this role, you will be responsible for developing and extending the device software and firmware stack for Photonic Compute and Photonic interconnect products. You will collaborate with other software teams and hardware systems teams to develop security, telemetry, virtualization, and remote administration functionality.

Responsibilities

• Collaborate across a multidisciplinary team including Photonic, Analog, Digital, Systems and Network experts to define control plane architecture for Lightmatter's photonic interconnect products.
• Define diagnostics and monitoring architecture for photonic transceivers.
• Integrate with DataCenter administration capabilities using environments such as CMIS, OpenBMC and DMTF.
• Debug and troubleshoot embedded systems using tools such as GDB, JTAG, and logic analyzers.
• Participate in customer engagements to gather requirements and usability criteria.

Qualifications

• BS and 8+ years of experience, or MS and 6+ years of experience.
• Degree in Computer Science, Electrical Engineering, Robotics, or a related technical field.
• Industry experience with device driver and kernel side development.
• Strong understanding of hardware-software integration.
• Practical knowledge of communication and control in embedded systems, peripherals, and buses.
• Experience with developing commercial/enterprise-level software and firmware on Linux.
• Experience with Git and CMake for building and managing software projects.
• Hands-on experience designing, simulating, or deploying control of autonomous systems.

Preferred Qualifications

• Proficiency with Python or C++.
• Familiarity with debugging tools such as GDB, JTAG, and logic analyzers.
• Experience developing firmware for photonic transceivers or similar systems.
• Experience with environments such as CMIS, OpenBMC and DMTF.
• Experience with optical communication systems and technologies.

We are hiring a talented software engineer to help us build the next generation of photonic AI processors and interconnects. In this role, you will be responsible for developing and extending the device software and firmware stack for Photonic Compute and Photonic interconnect products. You will collaborate with other software teams and hardware systems teams to develop security, telemetry, virtualization, and remote administration functionality.

Responsibilities

• Collaborate across a multidisciplinary team including Photonic, Analog, Digital, Systems and Network experts to define control plane architecture for Lightmatter's photonic interconnect products.
• Define diagnostics and monitoring architecture for photonic transceivers.
• Integrate with DataCenter administration capabilities using environments such as CMIS, OpenBMC and DMTF.
• Debug and troubleshoot embedded systems using tools such as GDB, JTAG, and logic analyzers.
• Participate in customer engagements to gather requirements and usability criteria.

Qualifications

• BS and 8+ years of experience, or MS and 6+ years of experience.
• Degree in Computer Science, Electrical Engineering, Robotics, or a related technical field.
• Industry experience with device driver and kernel side development.
• Strong understanding of hardware-software integration.
• Practical knowledge of communication and control in embedded systems, peripherals, and buses.
• Experience with developing commercial/enterprise-level software and firmware on Linux.
• Experience with Git and CMake for building and managing software projects.
• Hands-on experience designing, simulating, or deploying control of autonomous systems.

Preferred Qualifications

• Proficiency with Python or C++.
• Familiarity with debugging tools such as GDB, JTAG, and logic analyzers.
• Experience developing firmware for photonic transceivers or similar systems.
• Experience with environments such as CMIS, OpenBMC and DMTF.
• Experience with optical communication systems and technologies.

We are hiring a talented software engineer to help us build the next generation of photonic AI processors and interconnects. In this role, you will be responsible for developing and extending the device software and firmware stack for Photonic Compute and Photonic interconnect products. You will collaborate with other software teams and hardware systems teams to develop security, telemetry, virtualization, and remote administration functionality.

Responsibilities

• Collaborate across a multidisciplinary team including Photonic, Analog, Digital, Systems and Network experts to define control plane architecture for Lightmatter's photonic interconnect products.
• Define diagnostics and monitoring architecture for photonic transceivers.
• Integrate with DataCenter administration capabilities using environments such as CMIS, OpenBMC and DMTF.
• Debug and troubleshoot embedded systems using tools such as GDB, JTAG, and logic analyzers.
• Participate in customer engagements to gather requirements and usability criteria.

Qualifications

• BS and 8+ years of experience, or MS and 6+ years of experience.
• Degree in Computer Science, Electrical Engineering, Robotics, or a related technical field.
• Industry experience with device driver and kernel side development.
• Strong understanding of hardware-software integration.
• Practical knowledge of communication and control in embedded systems, peripherals, and buses.
• Experience with developing commercial/enterprise-level software and firmware on Linux.
• Experience with Git and CMake for building and managing software projects.
• Hands-on experience designing, simulating, or deploying control of autonomous systems.

Preferred Qualifications

• Proficiency with Python or C++.
• Familiarity with debugging tools such as GDB, JTAG, and logic analyzers.
• Experience developing firmware for photonic transceivers or similar systems.
• Experience with environments such as CMIS, OpenBMC and DMTF.
• Experience with optical communication systems and technologies.

The Cloud Support Administrator (Odoo) serves as the primary administrator of our Odoo-based self-service portal and billing system while providing hands-on cloud support to customers. This role combines Odoo platform administration, direct customer engagement, and cloud resource troubleshooting to ensure customer satisfaction and minimize escalations to the backend engineering team. The ideal candidate has experience administering Odoo systems and a strong understanding of cloud environments to serve as the first point of resolution for incoming customer tickets.

Key Responsibilities

• Administer and maintain the Odoo-based self-service portal and billing system, including account configuration, subscription management, billing adjustments, and system performance monitoring.
• Manage Odoo workflows such as invoicing, subscription lifecycle, customer onboarding, and access provisioning; identify opportunities to automate repetitive tasks.
• Perform system updates and coordinate with development teams on module enhancements and customizations.
• Respond to and resolve customer support tickets related to cloud resources, billing, and portal access, minimizing escalations.
• Provision and troubleshoot cloud resources, including virtual machines, storage, and clusters; assist customers with configuration, connectivity, and performance issues.
• Document recurring issues and create structured support content for knowledge base publication.
• Gather customer feedback and usage trends to identify improvements in portal functionality, billing workflows, and cloud services.
• Collaborate with backend engineering on escalations, providing detailed diagnostics and reproduction steps.

Requirements

• Experience administering Odoo ERP, including billing, subscriptions, CRM, and customer portal modules.
• Ability to configure workflows, customize views, and manage user access within Odoo.
• Strong understanding of cloud computing concepts, including virtual machines, storage, and clustering, across platforms such as AWS, GCP, Azure, or similar.
• Strong troubleshooting skills with the ability to resolve technical issues independently.
• Excellent communication and customer support skills.
• Experience documenting technical issues and creating knowledge base content.
• Familiarity with ticketing systems and CRM tools for issue tracking and escalation management.
• Ability to collaborate effectively with cross-functional technical teams.
• Willingness to stay current with Odoo updates and cloud technologies.

Preferred

• Odoo certification or equivalent hands-on expertise in customization and administration.
• Experience provisioning and managing cloud infrastructure, including virtual machines, storage, or Kubernetes clusters.
• Experience writing customer-facing technical documentation.
• Familiarity with Linux administration, networking fundamentals, and command-line troubleshooting.
• Experience with Python or XML customization within the Odoo framework.
• Background in cloud hosting or managed services environments.
• Understanding of API integrations, webhooks, or payment gateway configurations within Odoo or similar platforms.

Annual Compensation Range: 

$65,000 - $85,000 CAD base + benefits + equity (If based in Canada)

$78,000 - $95,000 USD base + benefits + equity (If based in the United States)

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.

Title: Senior Software Engineer

Location: Sweden, Stockholm or Canada; Toronto (hybrid work model)

Experience: Senior

Job Function:  Engineering 

Employment Type: Full-Time

Industry: Computer Network & Security

About the position

Keyfactor is looking for a highly capable and motivated Senior (Java) Software Engineer to join one of our agile teams. Your primary focus, together with the team is to support the continued growth of our flagship PKI Product offering. You have demonstrable experience in developing professional Java-based systems and have probably had a core engineering role in a product business. While an experience or an interest in this PKI, is meriting, it is more important for us to find someone who is passionate and capable, with the right mindset to be a part of helping us scale and become increasingly self-organizing. 

Job Responsibilities

• Design, implement, and maintain software features and functionality. 
• Conduct code reviews, pull requests and ensure adherence to coding standards. 
• Work closely with other engineers and cross-functional teams to solve complex problems. 
• Contribute to the improvement of software development processes and practices. 
• Identify and resolve technical issues and performance bottlenecks. 
• Provide guidance and support to less experienced engineers. 
• Work closely with the Quality Assurance teams and participate in QA efforts when needed. 
• Participate in internal and external product support when needed. 
• Contribute to technical documentation and project reports. 
• Engage in Agile ceremonies and contribute to iterative development processes. 

Minimum Qualification, Education, and Skills

Capabilities

• Excellent knowledge of Java software development and architecture.
• Strong experience of Java Enterprise (Jakarta EE).
• Deep knowledge of databases/SQL.
• Good knowledge of Linux.
• Knowledge of web application server and container deployment.
• Good knowledge of RESTful API.
• Extensive knowledge of software development in Agile environments. 
• Knowledge and experience in developing secure software. 
• Good knowledge of quality assurance methodologies and the system development life cycle. 
• Strategic thinking, exceptional problem-solving abilities, high-level proficiency in relevant tools and technologies.
• Proficiency in design patterns, strong architectural skills, and advanced debugging abilities.
• Ability to lead complex projects, drive strategic initiatives, and influence decision-making. 
• Ability to take ownership of complex tasks, mentor team members, and drive technical improvements.
• Deep knowledge of software architecture principles, code optimization, and continuous integration practices.

Leadership & Ownership

• Ability to lead complex technical initiatives and influence technical decision-making.
• Strong sense of ownership, with the ability to drive complex tasks to completion.
• Experience mentoring engineers and driving continuous technical improvement.

Who You Are

• Open-minded, adaptable team player who actively contributes to collaboration and knowledge sharing.
• Strong communicator with excellent interpersonal skills, effective with both technical and non-technical stakeholders. 
• Self-driven, action-oriented, and comfortable working both independently and collaboratively.
• Customer-focused mindset with a passion for delivering high-quality, impactful solutions.
• Positive, solution-oriented attitude with a strong sense of accountability.
• Excellent analytical skills, able to break down complex problems into actionable solutions. 
• Highly organized and able to manage priorities in fast-paced environments.

Experience

• Proven track record of working in Agile environments, with strong familiarity with Agile methodologies, tools, and best practices. 
• Demonstrated ability to mentor and support less experienced engineers, acting as a role model within the team. 
• Extensive knowledge of industry trends, company strategy, and cross-functional processes. 
• Strong command of English, both written and spoken, with the ability to communicate clearly in a professional environment. 
• Experience or knowledge in Public Key Infrastructure (PKI) is considered a strong advantage, but not required. 
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. 
• Strong demonstrable experience in software engineering or a related field. 

  #LI-NA1

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.

Lyft is looking for experienced software engineers from a scope of disciplines. We are growing our team with people who want to build, improve and incorporate technologies that make the lives of our community more enriched. As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empower us to iterate quickly, while focusing on delighting our riders and drivers.

As a Software Engineer for Lyft Ads - you will work on one of Lyft’s newest lines of business focused on building the world’s largest transportation media network. We build products that allow brands to engage with our unique audience throughout their transportation journeys and beyond. For this role we are seeking software engineers who are passionate about backend and data engineering. You will join our Ad Infra Engineering team and contribute to building the systems and pipelines powering our ad-serving, measurement and audience platform. We work on technologies that let brands engage with our unique audience throughout their transportation journeys. This role is a great opportunity for an early-career engineer to gain experience working with distributed backend systems and large-scale data workflows, collaborating closely with product, analytics, and data science teams.

Why Lyft Ads?

• Be part of a high-impact team building the foundations of Lyft’s advertising infra
• Gain experience working with complex systems at scale, backed by mentorship and growth opportunities.
• Join a supportive, inclusive environment focused on engineering excellence and business impact.

Responsibilities:

• Develop and maintain backend systems that support real-time ad serving, campaign management, and reporting.
• Design and implement scalable data models to support analytics, targeting, and measurement use cases.
• Build and maintain data pipelines that handle ingestion, transformation, and distribution of large volumes of advertising data.
• Work with orchestration frameworks (e.g., Airflow) to schedule and monitor reliable, production-grade data workflows.
• Collaborate with cross-functional partners to integrate internal and third-party systems via APIs and batch data feeds.
• Write clean, maintainable, and testable code following best practices (CI/CD, observability, code reviews).
• Participate in architecture discussions and design reviews with an emphasis on performance and reliability.
• Learn and grow through mentorship, documentation, and regular team collaboration.

Experience:

• BSc/MSc in Computer Engineering, Computer Science, related field or relevant work experience
• 3+ years of industry experience in backend or data engineering roles
• Proficiency in at least one backend programming language (e.g., Python, Go, Java)
• Good understanding of distributed systems, microservices, and database design (SQL and NoSQL).
• Exposure to orchestration tools (e.g., Airflow, Prefect) and data distribution technologies (e.g., Kafka, Pub/Sub).
• Experience working with relational and non-relational databases (e.g., PostgreSQL, BigQuery, DynamoDB).
• Experience with Linux.

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:  

Veeam, following its acquisition of Securiti AI - the leader in AI-powered data security posture management (DSPM) - is seeking a Senior Sales Engineer to drive technical leadership in our sales team, focusing on the Securiti AI portfolio. 

You will guide customers from needs assessment to solution design, delivering hands-on demos and proof-of-concepts to showcase value. Success in this role requires strong technical skills and the ability to build trust with clients.
You’re already a technical leader trusted at executive levels when the conversation shifts from “we need to secure our data” to “we need to enable safe, compliant AI at scale.” 
You’re already an expert on data/AI security and a proven enterprise sales engineer. Now it’s time to join the home of Data and AI Trust. 
You’ve already seen our new release of Agent Commander, but you haven’t seen what’s coming next. After the acquisition of Securiti AI, Veeam is even further into the forefront of data resilience, protection, trust, and the acceleration of safe AI at scale.
Are you ready for an exciting new challenge at enterprise scale?

What You’ll Do: 

• Serve as the primary technical data protection expert for Securiti AI and Veeam solutions throughout the pre-sales cycle.
  
• Lead discovery to translate risk, architecture, and business goals into a practical solution approach.
  
• Design and deliver tailored demos and hands-on proof-of-concepts that prove value in the customer’s environment.
  
• Drive technical conversations on AI Trust, Data Discovery, DSPM, Data Access & Governance, and Compliance (including GDPR, HIPAA, PCI-DSS).
  
• Provide solution guidance across AWS, Azure, and GCP, including cloud security best practices and identity/access concepts.
  
• Partner cross-functionally with sales, product, engineering, and customer success to ensure clean technical handoff and customer confidence post-sale.
  
• Hone your professional development through hands-on experimentation, team collaboration, robust onboarding, and more.
  
• Work ~80% remote, with client-facing travel usually 1-2 short trips per month.

What You’ll Bring (Required): 

• Extensive enterprise sales experience in data protection, cloud security, networks, and AI.
  
• Proven ability to quickly develop trust and credibility with both technical and business stakeholders.
  
• Strong technical leadership foundation in enterprise data protection, cloud security, networks, and AI.
  
• Hands-on experience with AWS, Azure, or GCP (multi-cloud exposure strongly valued).
  
• Deep working knowledge of data privacy/security and compliance programs, especially GDPR, HIPAA, and PCI-DSS, plus data governance and access controls.
  
• Ability to build and run compelling demos and POCs while earning trust as a customer-facing technical lead.
  
• Practical technical fluency with areas such as Linux, Kubernetes/containerized environments, and modern cloud/data architectures.
  
• Strong expertise with DSPM, DLP, data discovery approaches (e.g., patterns/keywords/dictionaries/regex/exact matching) and with common cloud/data systems (e.g., object storage and enterprise databases/warehouses).
  

Preferred (strong differentiators): 

• Experience applying or discussing GenAI security in real enterprise contexts, including RAG (Retrieval-Augmented Generation) concepts and vector databases / indexing approaches.
  Exposure to CASB / SASE / DLP technologies and how customers operationalize them.
  Relevant certifications (CISSP, CISM, AWS/Azure/GCP).
  

#LI-JC3

What We Need

The NetBrain release team is responsible for management of release of NetBrain products.  We are seeking a Software Release Engineer to join our team. The Software Release Engineer will report to Architect team and will work on the design, build and implementation of CI/CD flows and installation packages. The world’s leading enterprises rely on our products to automatically diagram, troubleshoot and design their networks. The software development team at NetBrain fosters a challenging work environment and encourages innovation, teamwork, and creativity.

What You'll Do

• Proactively engage with the development teams to define the product features, specifications, and requirements.
• Design and development of web-based network management applications from high-level architecture and network infrastructure to low-level creation of site layout, user experience, database schema, data structure, workflow, graphics, unit testing, end to end integration testing, etc.
• Work closely with the product team and various development teams to ensure complete coverage of features, scalability, and capabilities of the product's thin client environment.
• Participate in the ideation, design, development, and maintenance of CI environment
• Write clean, readable, testable, and maintainable installation script
• Work with Dev/QA/DevOps team for CI/CD and building auto test environment

What You Bring

• BS minimum in the areas of Computer Science or other related fields
• 1-3 years of relevant experience in Release Engineering or DevOps
• Familiar with Linux ( Redhat ) and Windows operating system required
• Familiar with Jenkins, GitHub, VMWare, Docker required
• Familiar with CI/CD work flow required
• Proficient in programming windows batch/Powershell command, Linux Shell script and python required
• Strong verbal and written communication skills are essential, communicate with various personnel 
• Knowledge and experience of MongoDB/ElasticSearch/Redis/Rabbitmq is a plus
• Knowledge and experience of AWS infrastructure  is a plus
• Knowledge and experience of AI coding is a plus
• Manual Dexterity: Repetitive motion of wrists, hands and fingers for using a computer.
• Stationary Tasks: Sitting for extended periods, remaining in a stationary position.

What We Offer

Our comprehensive compensation package is vital in how we recognize the impact that our people make in helping us achieve our goals.

For this role, the estimated base salary range is between CAD $78,000 - CAD $93,000 plus potential bonus. The actual salary may vary based on a range of factors, including market and individual qualifications objectively assessed during the interview process.

Please note that the range provided is a guideline, and may be modified. People Experience offers a comprehensive benefits package in addition to cash compensation that includes, but is not limited to, RRSP and medical/dental coverage. Speak with your Recruiter for more details on our Total Rewards philosophy.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

About the team + role

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for thoughtful problem-solvers and builders who want to make a meaningful contribution. Robinhood is a place where people take ownership of their work and help improve financial access for all. We operate with high standards, clear accountability, and a strong focus on security and ethics in everything we build!

The Red Team’s mission is to identify and reduce real-world security risks across Robinhood by simulating adversary behavior and testing defenses. As a Staff Offensive Security Engineer, you will plan and execute security assessments across applications, infrastructure, and physical environments, and partner closely with engineering and security teams to strengthen detection and response capabilities. You will help prioritize risk, contribute to remediation efforts, and develop tools and techniques that improve how we test and secure our systems. Your work will directly support the safety and reliability of products used by millions of customers.

This role is based in our Menlo Park, CA office, with in-person attendance expected at least 3 days per week.

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

What you’ll do

• Evangelize the Offensive Security Team’s Findings and Projects with stakeholders throughout the company and collaborate with other teams to create solutions that balance security with other priorities.
• Mentor and provide guidance to the members of the Offensive Security team.
• Plan and execute red team exercises, including long-term assessments that simulate real-world attack scenarios
• Perform threat modeling and penetration testing across applications, infrastructure, and corporate environments
• Develop scripts and tools to support and automate security testing activities
• Partner with detection and response teams to run adversarial simulations and improve incident readiness
• Communicate findings clearly and work with engineering teams to remediate identified risks
• Lead Security Incidents when Pentest or Red Team findings require them.
• Plan and participate in Adversarial Simulation exercises with various security teams.

What you bring

• 8+ years of experience conducting red team operations or advanced penetration testing
• Experience mentoring or supporting the development of other security engineers
• Passion and demonstrated experience for challenging security assumptions.
• Excellent written and verbal communication skills and ability to communicate your findings at many different levels of abstraction from Engineers to Executives.
• Passion for fixing security issues and not just identifying security issues.
• Familiarity with common network protocols and standards such as DNS and TCP/IP.
• Experience with MacOS and Linux.
• Experience with leveraging components of a modern software development stack to attack companies, including CI, container orchestration systems (Kubernetes/Docker), cloud providers (AWS, GCP), etc and be able to give hardening suggestions.
• Experience/knowledge of defensive tools/techniques (IDS/IPS, Packet Capture, Network Analysis, AV, EDR, etc.) and how to evade them.
• Deep understanding of Mitre’s ATT&CK Framework.
• Strong understanding of the security fundamentals of access and identity.
• Comfortable reading / writing python, go, and javascript.
• Ability to research and execute a testing plan to access a new technology or process.
• Demonstrated experience working with a distributed team.
• Proficiency to communicate over a text-based medium (Slack, JIRA Issues, GitHub issues, & Email) and can succinctly document technical details.

Bonus Points

• Experience in the Financial Technology domain.
• Experience being a technical lead at other organizations.

What we offer

• Market competitive and pay equity-focused compensation structure
• 100% paid health insurance for employees with 90% coverage for dependents
• Annual lifestyle wallet for personal wellness, learning and development, and more!
• Lifetime maximum benefit for family forming and fertility benefits
• Dedicated mental health support for employees and eligible dependents
• Generous time away including company holidays, paid time off, sick time, parental leave, and more!
• Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits

As a Production Support Engineer I at Marqeta, you will play a pivotal role in our commitment to customer satisfaction and the seamless operation of our products and services. You will serve as the first line of contact for our customers, adeptly handling and resolving technical issues, using known procedural documents with some technical analysis performed while translating technical jargon into user-friendly language. In addition, you will collaborate with our Engineering teams to manage software updates. 

Your role will also involve handling problems in all areas of Marqeta's products and services and ensuring that our customers get the best support. For complex issues, you would follow escalation procedures engaging Senior members and Engineering teams. At Marqeta, we value the essential role our Production Support Engineers play in our service delivery chain and look forward to welcoming you to our team.

We work Flexible First. This role can be performed remotely anywhere within Ontario or British Columbia, Canada. We’d love for you to join us!

This position is for an existing vacancy.

The Impact You’ll Have

• Provide high-quality support, and take ownership in responding to inquiries, issues and escalation inquiries through tickets, emails, and other channels
• Perform problem-solving, diagnosing, and generating corrective action plans for issues 
• Work cross-functionally to resolve issues and provide customer care
• Provide on-call support for rotations and escalations
• Assist in monitoring production transaction volume, functionality and performance
• Be proactive in monitoring, optimizing issuer resolution, and implementing corrective action planning
• Interact with Product, Engineering, and Technical Operational teams to provide feedback on production support related issues and improvements

 Who You Are

• 2 years of experience in Technical Support, Production Support, or IT Support for B2B customers
• Experience in payments and/or accounting systems
• Ability to work in a customer-facing role, with strong written and verbal communication skills, with the ability to listen, show empathy, and also be able to converse with both internal and external technical and non-technical stakeholders
• Committed, flexible through on-call rotations, and demonstrated ability to maintain high levels of productivity with minimal supervision
• Experience with ticketing systems (such as, Jira, SalesForce, etc)
• Good understanding of API technologies and troubleshooting (i.e.: you know what cURL does, know HTTP response codes, etc.)
• Basic SQL knowledge should be able to modify queries for data extraction for troubleshooting
• Comfortable working within a Linux environment
• Experience with logging and monitoring tools such as Kibana, Splunk, AppDynamic, SumoLogic, Grafana, Datadog, and New Relic
• The ability and desire to learn new technologies and tools

Nice to haves

• Experience working at a high-growth company
• Scriptwriting - Python, Ruby, Shell, etc
• Ability to read/understand Java codebase

Compensation and Benefits

Marqeta is a Flex First company which allows you to choose your best working environment, whether that be from home or at a company office. To support Flex First, we calibrate pay to a competitive value according to working location. 

When determining salaries, we consider several factors including, but not limited to, skills, prior experience, and work location. The new-hire base salary range for this position, reflected in CAD,  is: 60,600 - 75,800

We also believe in recognizing the contributions of our people. That's why we award annual bonuses to eligible employees, rewarding both individual performance and the success of the entire company.

Along with monetary compensation, Marqeta offers

• Multiple health insurance options
• Flexible vacation time
• Retirement savings program with company contribution
• Equity in a publicly-traded company 
• Monthly stipend to support our remote work model
• Annual “development dollars” to support our people growth and development
• Family-forming benefits and up to 20 weeks of Parental Leave

About Us

Nubank is one of the largest digital financial platforms in the world, with more than 122 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building.

Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human.

Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Bank. Visit our institutional page https://international.nubank.com.br/careers/

About the role

Senior System Engineer - Systems Performance Team The Systems Performance team is part of the Computing Squad (Foundation / Runtime Platforms). You will be part of a team focused on building deep diagnostic tools and performing high-level analysis to reduce latency, infrastructure costs, and increase services efficiency. You will execute performance investigations and identify systemic bottlenecks across one of the largest JVM-based microservice architectures in the world, interacting with everything from the Linux Kernel to cloud-wide orchestration.

You will be responsible for

• Performance Investigation: Identify systemic bottlenecks and efficiency opportunities across a massive microservice architecture.
• Innovative Solutions: Develop and deliver technical solutions that address complex challenges with a focus on medium and long-term impact.
• System Optimization: Deep dive into the technical aspects, capabilities, and limitations of our systems to drive continuous improvements.
• Root Cause Analysis: Perform high-level analysis to identify and resolve the root causes of performance issues.
• Proactive Design: Anticipate technical and product issues, making design decisions to prevent future bottlenecks.
• Mentorship & Collaboration: Share knowledge and mentor others, ensuring a high standard of quality and teamwork.

We are looking for a person who has

• Cloud Expertise: Experience and knowledge of cloud platforms (AWS).
• Production Environment: Background working with critical, high-availability services.
• JVM & Internals: Deep interest in understanding service internals, JVM architecture, and performance characteristics.
• OS Fundamentals: Knowledge of operating systems (scheduling, memory management, I/O) is a strong plus.
• Analytical Thinking: Passion for performance tuning, capacity planning, and finding creative ways to improve system efficiency.
• Cultural Alignment: Enthusiasm for ownership, simplicity, and a "veracity-first" approach to problem-solving.

Our Benefits

• Total compensation includes base salary, RSUs and benefits. Base salary range: $13,000 - $15,600
• Opportunity of earning equity at Nu
• Medical Insurance
• Dental and Vision Insurance
• Life Insurance and AD&D
• Extended maternity and paternity leaves 
• Nucleo - Our learning platform of courses
• NuLanguage - Our language learning program
• NuCare - Our mental health and wellness assistance program
• Extended maternity and paternity leaves 
• 401K
• Saving Plans - Health Saving Account and Flexible Spending Account
• Work-from-home Allowance
• Relocation Assistance Package, if applicable.

Work Model for this Role

Nubank operates in a hybrid model, where teams collaborate remotely and periodically come together for about one week of in-person sessions. For Canadian team members, these sessions typically take place in one of our hubs (Brazil, Mexico, Colombia, or the United States) and are communicated well in advance to allow proper planning, with travel support provided to ensure equitable access to these global collaboration opportunities.

Transparency in the use of AI

Our recruitment process may involve the use of artificial intelligence–enabled tools, such as automated interview transcription and analysis, to support the evaluation process. Artificial intelligence is not used to make final hiring decisions; all decisions are made by human reviewers.

IXL Learning, developer of personalized learning products used by millions of people globally, is seeking Software Developers who have a passion for technology and education. You will be helping us build the tools needed to provide highly-demanded new integrations for IXL’s largest school districts.

At IXL Learning, we are dedicated to creating first-of-their-kind products that leverage cutting-edge technologies to solve seemingly intractable problems in education. Our users count on us to make learning as effective as can be, so we're looking for exceptional people who are committed to solving the real-world challenges faced by students and teachers around the world.

As a Software Developer, New Grad on our Integrations team, you will design and develop the tools and systems needed to simplify the setup of IXL for schools and districts. These integrations will help IXL work seamlessly with the technology ecosystems of all of our customers. This is an amazing opportunity for you to join a mission-driven high-growth company. At IXL, we find it immensely satisfying to develop products that impact the lives of students everywhere, and we are eager to have you join our team. #LI-EM1

This position requires you to be in our Toronto, Ontario, Canada, office.

WHAT YOU'LL BE DOING

• Design, implement, test, deploy, and refine a large set of integrations (standardized and custom) and internal tools while improving development efficiency
• Find and use the best technologies to add features to our products
• Implement data exchange methods and standards and develop prototypes in collaboration with product management and third-party partners as necessary
• Work in a fast-paced, agile environment to ensure timely delivery of high-quality, meaningful solutions
• Help to mature existing and develop new standardized processes around IXL’s technical implementations; contribute to the vision and design of a next-generation integration platform

WHAT WE'RE LOOKING FOR

• Bachelor's or advanced degree in computer science or a related discipline
• A solid grasp of general programming principles
• Excellent programming skills in Java or other object-oriented language
• Ability to work both independently and with a wide variety of teams
• Knowledge of Java, SQL, JavaScript, CSS, React, Linux, and Git is a plus
• Passion for improving education through technology

The base salary range for this full-time position is $90,000 to $92,000 CAD + benefits. Our pay ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire pay for the position. Individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. 

As Marqeta’s Security Operations Intern, you will gain hands-on experience building and validating security operations capabilities for a publicly traded payments technology company. You’ll join the Security Operations and Response team within the Product and Infrastructure Security organization, where you’ll validate and formalize incident response procedures, develop SOAR-based runbook automations, and design tabletop exercises that test our operational readiness against real-world threat scenarios. This role is grounded in security operations fundamentals—procedure development, incident response methodology, and team coordination—with opportunities for exposure to detection engineering and automation workflows.

We work Flexible First. This role can be performed remotely anywhere within Ontario or British Columbia, Canada. We’d love for you to join us!

This will be a 12 week internship program, beginning on June 8th and running through August 28th, 2026.

This position is not for an existing vacancy.

The Impact You’ll Have

• Validate and formalize incident response procedures aligned to Marqeta’s Cybersecurity Incident Response Plan (CIRP), ensuring documentation is accurate, current, and actionable for both human operators and AI-assisted workflows
• Develop SOAR runbook automations in Cortex XSOAR that operationalize validated procedures, translating human-readable response steps into repeatable, automated workflows
• Design and facilitate a series of tabletop exercises within the Security organization that test procedure effectiveness, team coordination, and escalation paths across security functions including Security Operations, Compliance/TPRM, and Identity
• Contribute to post-exercise improvement reports that drive measurable enhancements to Marqeta’s security posture and operational readiness
• Gain exposure to detection engineering and automation workflows, including opportunities to observe and contribute to the team’s detections-as-code pipeline and MITRE ATT&CK coverage mapping

Who You Are

• Currently pursuing a Bachelor’s or Master’s degree in Cybersecurity, Computer Science, Information Systems, or a related field, with an expected graduation date between December 2025 and June 2027
• Foundational knowledge of security operations concepts including log analysis, intrusion detection, incident response lifecycles (NIST or similar), and common attack techniques
• Familiarity with at least one scripting or programming language (Python, Bash, or similar) and comfort working in Linux and cloud environments (AWS preferred)
• Strong written communication skills with the ability to translate technical processes into clear, structured documentation suitable for both operational use and executive audiences
• Interest in incident response methodology, security procedure development, and operational readiness—you care about how security teams actually execute under pressure
• A proactive, detail-oriented approach to problem-solving with the ability to work independently while knowing when to escalate or ask for guidance

Nice-To-Haves

• Relevant certifications or coursework such as CompTIA Security+, CySA+, BTL1, or GIAC certifications
• Experience with SOAR platforms (Cortex XSOAR, Tines, or similar), SIEM platforms, or EDR tools
• Prior internship, co-op, or project experience in a security operations center (SOC) or incident response context
• Understanding of or interest in the MITRE ATT&CK framework and how it applies to detection and response operations
• Exposure to compliance frameworks relevant to financial services such as PCI DSS
• Experience facilitating exercises, workshops, or structured reviews in any context

Typical Process

• Application Submission
• Recruiter Video Call
• Hiring Manager Video Call
• Final Round consisting of 1-2, 45-60 min calls
• Offer!

At this point, we hope you're feeling excited about the role. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and passion will stand out—and set you apart—especially if your career has taken some extraordinary twists and turns. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates, so again, don’t hesitate to apply — we’d love to hear from you.

Compensation and Benefits

Marqeta is a Flex First company which allows you to choose your best working environment, whether that be from home or at a company office. To support Flex First, we calibrate pay to a competitive value according to working location. 

When determining pay, we consider several factors including, but not limited to, skills, prior experience, and work location. The 2026 Internship weekly rate, reflected in CAD, is: 1,468/week

Along with monetary compensation, Marqeta offers Interns:

• 3 Vacation Days
• A Remote, Flex First Environment
• A Mentor and Intern Buddy
• Real Life Projects

About this Role

We are hiring a talented software engineer to help us build the next generation of photonic AI processors and interconnects. In this role, you will be responsible for developing and extending the device software and firmware stack for Photonic Compute and Photonic interconnect products. You will collaborate with other software teams and hardware systems teams to develop security, telemetry, virtualization, and remote administration functionality.

Responsibilities 

• Collaborate across a multidisciplinary team including Photonic, Analog, Digital, Systems and Network experts to define control plane architecture for Lightmatter's photonic interconnect products.
• Define diagnostics and monitoring architecture for photonic transceivers.
• Integrate with DataCenter administration capabilities using environments such as CMIS, OpenBMC and DMTF.
• Debug and troubleshoot embedded systems using tools such as GDB, JTAG, and logic analyzers.
• Participate in customer engagements to gather requirements and usability criteria.

Qualifications

• BS and 8+ years of experience, or MS and 6+ years of experience.
• Degree in Computer Science, Electrical Engineering, Robotics, or a related technical field.
• Industry experience with device driver and kernel side development.
• Strong understanding of hardware-software integration.
• Practical knowledge of communication and control in embedded systems, peripherals, and buses.
• Experience with developing commercial/enterprise-level software and firmware on Linux.
• Experience with Git and CMake for building and managing software projects.
• Hands-on experience designing, simulating, or deploying control of autonomous systems.

Preferred Qualifications

• Proficiency with Python or C++.
• Familiarity with debugging tools such as GDB, JTAG, and logic analyzers.
• Experience developing firmware for photonic transceivers or similar systems.
• Experience with environments such as CMIS, OpenBMC and DMTF.
• Experience with optical communication systems and technologies.

The Senior Back-End Developer is responsible for designing, building, and maintaining high-performance
server-side systems that power a large-scale video platform serving millions of users. This role
encompasses architecture and optimization of backend services, database design, caching strategies,
and API development. You will also be responsible for integrating front-end elements built by your
coworkers into the application, so a solid understanding of front-end technologies is necessary.

Duties/Responsibilities:
- Architect and implement scalable backend systems and features for a high-traffic video platform
- Design and optimize MySQL database schemas for performance at scale
- Implement and maintain caching strategies using Memcached and Redis
- Build and maintain APIs that serve client-facing applications
- Integrate user-facing elements developed by front-end developers with server-side logic
- Identify performance bottlenecks and implement optimizations for maximum speed and scalability
- Develop and maintain background tasks and data pipelines handling very large datasets
- Conduct code reviews and drive technical decisions on system design and architecture
- Maintain, refactor, and modernize legacy codebases
- Build reusable libraries and establish patterns for future development
- Other duties, as assigned

Requirements:
- 8 years of experience as a back-end developer
- 10 years of experience with object-oriented programming languages
- 5 years of experience with PHP specifically, including PHP 8+
- Strong experience with MySQL, including query optimization, indexing strategies, and schema design
- Experience with caching layers (Memcached, Redis)
- Proven ability to build and optimize systems operating at high scale and throughput
- In-depth understanding of web development and HTTP protocols
- Experience with Linux server environments, including navigating consoles, reading logs, and
  troubleshooting production issues
- Experience and/or knowledge with front-end languages such as JS/TypeScript, HTML, CSS
- Willingness to jump in on any project, when needed, regardless of code quality

Preferred Qualifications:
- Knowledge of video technologies, containers, codecs, and live streaming
- Experience with NGINX configuration and optimization
- Experience with WebSocket for real-time communication
- Experience in BASH scripting and automation
- Understanding of networking fundamentals
- Familiarity with static analysis tools (e.g., PHPStan) and modern PHP coding standards

Desired Qualifications:
- Degree in Computer Science/Engineering or related field
- Experience migrating or modernizing legacy PHP codebases
- Experience with server-side rendering architectures
- Experience with CI/CD pipelines and automated testing (PHPUnit)

Annual Compensation Range: 

$135,000 - $154,000 CAD base + benefits + equity 

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.

As an Infrastructure Hardware Technical Program Manager (Server and Network Systems) on the Cluster Architecture Team, you will drive end-to-end delivery of server and network platform programs across Cerebras CS-3–based AI clusters — from requirements and vendor selection through lab bring-up, qualification, and production rollout. You will be the execution owner for multi-team programs spanning OEM/ODM partners, component vendors, internal software/runtime teams and architects, validation/QA, and deployment/operations.

This role is intentionally technical: you must understand server, network, and system-level trade-offs well enough to run effective technical reviews, keep programs grounded in real constraints, and maintain a crisp decision trail - while partnering closely with the Compute / Server / Network Platform Architects for detailed technical direction and sign-off. You will also build shared understanding with our rack/elevations and physical datacenter design partners so that server and network changes land smoothly in real deployments (without owning physical DC design).

Responsibilities

• Own end-to-end program execution for server systems and network equipment in Cerebras clusters, including new platforms, refreshes, and major component/config changes.
• Drive requirements gathering and convert inputs into executable plans with clear milestones, readiness gates, and cross-functional deliverables.
• Represent Cluster Architecture in executive reviews, OKR cycles, and leadership/customer forums as needed.
• Build and manage integrated schedules across vendors and internal teams, track dependencies, critical path, and risks.
• Manage OEM/ODM and switch/vendor engagements (RFI/RFP, samples, escalations, roadmap alignment).
• Partner with Compute / Server Platform / Network Architects to turn architectural decisions into qualification plans, acceptance criteria, and rollout strategies.
• Lead qualification and release readiness (lab/staging validation, regression tracking, go/no-go decisions).
• Own risk and change management into production, including versioning, rollout sequencing, and stakeholder communication.
• Ensure operational readiness with deployment and fleet teams and maintain alignment with rack/physical DC owners on power, cooling, space, and cabling constraints.

Skills and Qualifications

• B.S. or M.S. in Computer Science, Electrical/Computer Engineering, or equivalent experience.
• 8+ years in Technical Program Management (or similar delivery leadership) for server, network, or infrastructure platforms from concept through production.
• Experience coordinating complex server and/or datacenter network programs across OEM/ODMs, switch vendors, and internal engineering teams.
• Working knowledge of server architecture (CPU/NUMA, memory bandwidth, PCIe, NIC and storage IO) and enough networking fundamentals (leaf-spine fabrics, switch platforms, high-performance interconnects) to run effective technical reviews.
• Familiarity with Linux server fleet management (provisioning, firmware/BIOS, drivers, field triage).
• Strong multi-team program execution skills: integrated plans, risk management, dependency tracking, and executive-level communication.
• Ability to operate in ambiguity and keep parallel server and network workstreams aligned.
• Experience with AI/ML, HPC, or performance-sensitive distributed infrastructure is a plus.

About The Role

The AI Infrastructure Operations Engineer (SiteOps) is an entry-level individual contributor role focused on the deployment, bring-up, monitoring, and first-line troubleshooting of Cerebras AI infrastructure in data center environments. The role supports CS systems, cluster server hardware, cluster networking hardware, and hardware telemetry and monitoring tools.

Support reliable operation and scale-out of Cerebras AI clusters by executing defined hardware bring-up and validation procedures, monitoring telemetry, performing first-line troubleshooting, and escalating issues using established workflows.

Responsibilities

• Assist with deployment and bring-up of CS-X systems, cluster servers, and networking hardware;
  • Execute power-on sequencing, readiness checks, and validation tests.
  • Monitor hardware telemetry, alerts, and dashboards.
  • Perform first-line troubleshooting and structured escalation.
  • Collect logs, telemetry, and observations during incidents.

Incident Support & Tooling

• Participate in incident response under senior engineer guidance;
  • Use existing monitoring, telemetry, and incident tracking tools.
  • Provide feedback on tooling and process gaps.

Learning & Development

• Build working knowledge of Cerebras system architecture;
  • Learn cluster hardware and networking fundamentals.
  • Shadow senior engineers during complex debugging.
  • Progress toward independent ownership of defined workflows.

Explicit Non-Responsibilities

• No people management;
  • No final escalation authority.
  • No ownership of cluster architecture, hardware design, or tooling architecture.

Required Qualifications

Bachelor’s degree in a relevant engineering field or equivalent experience; 0–3 years experience in hardware operations, systems engineering, or datacenter environments; basic familiarity with server hardware, networking fundamentals, and Linux systems.

Preferred Qualifications

Internship or early-career experience in datacenter or hardware lab environments; exposure to monitoring or telemetry systems; comfort working in data centers.

What Success Looks Like

Consistent and correct execution of hardware bring-up procedures, early identification and escalation of issues, improving documentation quality, and clear progression toward more independent operational responsibility.

Career Path

This role progresses naturally toward Senior and Principal IC roles within AI Infrastructure Operations (SiteOps), with an optional management track.

About The Role

We are seeking a highly skilled and experienced AI Infrastructure Operations Engineer to manage and operate our cutting-edge machine learning compute clusters. These clusters would provide the candidate an opportunity to work with the world's largest computer chip, the Wafer-Scale Engine (WSE), and the systems that harness its unparalleled power. 

You will play a critical role in ensuring the health, performance, and availability of our infrastructure, maximizing compute capacity, and supporting our growing AI initiatives. This role requires a deep understanding of Linux-based systems, containerization technologies, and experience with monitoring and troubleshooting complex distributed systems. The ideal candidate is a proactive problem-solver with expertise in large-scale compute infrastructure, dependable and an advocate for customer success.  

Responsibilities

• Manage and operate multiple advanced AI compute infrastructure clusters. 
• Monitor and oversee cluster health, proactively identifying and resolving potential issues. 
• Maximize compute capacity through optimization and efficient resource allocation. 
• Deploy, configure, and debug container-based services using Docker. 
• Provide 24/7 monitoring and support, leveraging automated tools and performing hands-on troubleshooting as needed. 
• Handle engineering escalations and collaborate with other teams to resolve complex technical challenges. 
• Contribute to the development and improvement of our monitoring and support processes. 
• Stay up-to-date with the latest advancements in AI compute infrastructure and related technologies. 

Skills And Requirements

• 6-8 years of relevant experience in managing and operating complex compute infrastructure, preferably in the context of machine learning or high-performance computing. 
• Strong proficiency in Python scripting for automation and system administration. 
• Deep understanding of Linux-based compute systems and command-line tools. 
• Extensive knowledge of Docker containers and container orchestration platforms like k8s and SLURM. 
• Proven ability to troubleshoot and resolve complex technical issues in a timely and efficient manner. 
• Experience with monitoring and alerting systems. 
• Should have a proven track record to own and drive challenges to completion. 
• Excellent communication and collaboration skills. 
• Ability to work effectively in a fast-paced environment. 
• Willingness to participate in a 24/7 on-call rotation. 

Preferred Skills And Requirements

• Operating large scale GPU clusters.
• Knowledge of technologies like Ethernet, RoCE, TCP/IP, etc. is desired.
• Knowledge of cloud computing platforms (e.g., AWS, GCP, Azure).
• Familiarity with machine learning frameworks and tools.
• Experience with cross-functional team projects. 

Location 

• SF Bay Area.
• Toronto, Canada.
• Bangalore, India.

About The Role

As a Compute / Server Platform Architect on the Cluster Architecture Team, you will own the server-side platform architecture that enables Cerebras CS3-based AI clusters (training and inference) to deliver predictable performance, scalability, and reliability. Our accelerators are network-attached, so the x86 server fleet is a first-class part of the end-to-end system: it runs critical-path runtime functions (for example orchestration, prompt caching, and IO/control services) and must be co-designed with software for token-level latency, throughput, and cost efficiency. You will translate workload behavior into CPU, memory, IO, PCIe, and host-networking requirements, drive platform evaluations with vendors, and provide technical leadership through qualification and production adoption in close partnership with other function leaders and TPMs.

Responsibilities

• Own the architecture for all server roles in Cerebras clusters, including definitions of server types, configurations, and lifecycle strategy.
• Define and maintain server formulas (counts and ratios per CS-3 count, cluster size, and workload type) including capacity planning and headroom policy.
• Specify platform configurations: CPU SKU and core strategy, our vendor roadmap (e.g., AMD, Intel, ARM), memory topology (channels, DIMM type, capacity), PCIe topology and lane budgeting, NIC selection/placement, and local NVMe policy where applicable.
• Translate software and runtime flows into measurable hardware requirements (CPU utilization, memory bandwidth/latency, bursty IO patterns, queueing and concurrency limits) and communicate clear guardrails back to software teams.
• Develop performance and scaling models; validate with microbenchmarks and workload-level experiments; identify bottlenecks and drive cross-stack fixes.
• Define the OS, BIOS, firmware, and driver baseline for each server type; there are other teams that follow these recommendations and apply them on our fleet.
• Stay current on emerging server technologies (CPU generations, new memory technologies, CXL, NVMe evolutions, SmartNIC/DPU capabilities where relevant) and run proof-of-concept evaluations to determine when to adopt.
• Lead technical vendor engagements (OEM/ODM and component vendors): influence roadmap, request platform knobs, and drive joint debugging on performance or reliability issues.
• Define qualification and acceptance criteria (performance, stability, operability) and partner with the Infrastructure Hardware TPM to execute qualification plans and land changes cleanly into production.
• Support bring-up and rare deployment debugging in lab and staging environments; drive root-cause analysis for regressions spanning firmware, drivers, OS, and runtime behavior.

Skills and Qualifications

• PhD. in Computer Science or Electrical/Computer Engineering and + 8 years industry experience, or Master’s/Bachelor’s in CS or EE + 10 years industry experience.
• 5+ years of experience in server platform architecture, systems performance engineering, or large-scale infrastructure design for AI/ML, HPC, or performance-sensitive distributed systems.
• Deep understanding of x86 server architecture: CPU microarchitecture basics, cache hierarchies, NUMA, memory controllers/channels, and memory bandwidth vs latency tradeoffs.
• Strong Linux systems knowledge: profiling and performance analysis, scheduling and syscall overheads, memory management behavior, and practical tuning methodology.
• Experience reasoning about high-performance IO paths, including NIC behavior at a systems level, RDMA/RoCE concepts, and NVMe performance characteristics.
• Proven ability to create capacity and performance models and validate them empirically with a rigorous benchmarking plan.
• Experience working directly with vendors/partners to evaluate platforms, drive issue resolution, and influence roadmaps.
• Strong cross-functional communication skills and ability to drive technical decisions through clear tradeoff documents and reviews.
• Familiarity with application and system software (C, C++, Python).

As one of our Lead Site Reliability Engineers, you will combine hands-on technical expertise with strategic technical leadership across infrastructure and software development. You will own the design and evolution of major systems within our multi-cloud, multi-region, active-active content serving platform that serves upwards of 25 Billion requests daily. Through a combination of architectural vision, cross-team collaboration and mentorship, you will help drive the reliability initiatives and define the technical strategy that scales our platform to 50 Billion requests per day and beyond.

Responsibilities:

• Define and drive the automation strategy for infrastructure tooling, establishing standards that minimize manual work, increase performance and reduce incident frequency and severity of incidents
• Own the design, reliability and evolution of core platform applications, mentoring team members on best practices and ensuring systems meet long-term business objectives
• Architect and lead the logging platform strategy, driving its design and balancing availability, retention and cost optimization
• Establish capacity planning and performance management frameworks, proactively identifying scaling opportunities and guiding teams through complex troubleshooting scenarios
• Lead cross-functional reliability initiatives with SRE and service engineering teams, influencing architectural decisions and championing practices that ensure resilient service delivery
• Demonstrate a  high level of  autonomy in anticipating, identifying, and addressing systemic weaknesses and opportunities for platform improvement without direct supervision.

Qualifications:

• Proven track record in Site Reliability or Software Engineering, designing, building, and owning scalable, resilient services with a focus on long-term reliability strategy
• Deep expertise in architecting and operating complex distributed systems such as Apache Pulsar, Apache Kafka, Grafana Loki, ScyllaDB/Cassandra, with the ability to guide teams through distributed system challenges
• Designing and owning automation strategies to manage services at scale, with expertise in establishing performance analysis frameworks and mentoring others on diagnostics and resolution
• Deep, hands-on experience (6+ years) in Site Reliability or Software Engineering, specifically leading and shaping multi-cloud architecture and strategy (AWS and GCP).
• Experience architecting and leading large-scale observability platforms, including defining observability standards and SLO frameworks. We use Prometheus and Thanos with Grafana Alloy, Loki and Tempo
• Experience leading on-call excellence, including driving improvements to monitoring and alerting strategies, automating runbooks and mentoring team members on incident response best practices. Every member of the SRE team does a week long on-call rotation
• Expert-level proficiency with infrastructure as code, including defining IaC standards and patterns across teams. We use Terraform and Chef
• Advanced Kubernetes expertise, including cluster architecture design, multi-tenancy strategies, and guiding teams on container orchestration best practices. We use EKS and GKE
• Proficiency in multiple programming languages with the ability to design and review code that meets reliability standards. We use NodeJS, Golang, Ruby, Python and shell scripting
• Advanced Linux systems expertise, with the ability to diagnose complex system-level issues and mentor others on performance tuning and troubleshooting

The base pay range for this position is $154,000-$200,000 CAD/year, which can include additional bonus depending on the position ultimately offered, in addition to a full range of medical, financial, and/or other benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.

Rumble is seeking a Senior Infrastructure Engineer (CDN) who will be a pivotal member of the team that builds and maintains the infrastructure that is at the core of the Rumble platform. Candidates applying for this position should be very experienced and highly skilled network infrastructure engineers who are excited about the opportunity of building and supporting a fast growing, fault tolerant and high capacity platform.  A person who would be a successful candidate for this position loves challenges and problem solving, and has spent their career working on mission critical infrastructure.  This role requires someone who is motivated and can work both independently and as part of a team.

What you will do:

• Have a key role in designing and supporting Rumble’s Content Distribution Network and DNS infrastructure
• Building out fault tolerant infrastructure at a sometimes fast and relentless pace
• Improve performance and stability by optimizing routing, network performance, enhancing caching, load balancing and capacity planning
• Documenting improvements and exchanging ideas with other members of the team
• Participation in an on-call rotation, responding to and resolving incidents while communicating status to other members of the team
• Occasional travel as needed

Required Qualifications:

• 8+ years of relevant network experience
• Strong understanding of IP networking, TCP/IP, HTTP/HTTPS, and caching mechanisms to handle traffic routing and content distribution efficiently
• In depth knowledge of DNS architecture, including hierarchy, name resolution processes and record types (A, AAAA, CNAME, MX, etc.)
• Previous experience managing a robust DNS deployment
• Proficiency in programming languages such as Python, Bash or Perl for automating server configurations, deployments and maintenance
• Solid experience with linux systems and using them in a production environment
• Expert troubleshooting experience — you’re calm under pressure and can dissect and resolve the toughest infrastructure issues.
• Ability to create and maintain high quality network documentation
• Effective communicator (both verbal and written) who can clearly present information or ideas within a team
• Willingness to learn, be challenged and have fun in a dynamic and fast paced environment

Preferred Qualifications:

• Experience with DNSSEC and securing against common spoofing or poisoning attacks
• Knowledge of anycast, and DDoS mitigation strategies
• Capacity planning and experience handling large-scale queries
• Experience with BGP and open source routing daemons on linux (BIRD, FRR)
• Familiarity with openSUSE, Gentoo, Arch a plus

Desired Qualifications:

• Past experience with network monitoring tools
• Experience with network operating systems (Juniper, Arista, Cisco, etc.)
• Comfortable with using open source tools for solutions

Annual Compensation Range:

$150,000-$195,000 USD base + benefits + equity (If based in the United States)

$123,000-$142,000 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.

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1100+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

The company is founder led, profitable and growing.

Location: This is an office based role. We expect the suitable candidate to be based in Xizhi District, New Taipet City as you will be required to work on-site at our lab.

This is a Python software engineering opportunity for a computer lab engineer passionate about open source software, Linux, and the latest server and network technologies. Come build a rewarding, meaningful career working with the best and brightest people in technology at Canonical, a growing international software company. If you love hacking in your home lab and are curious about hardware, you will love this opportunity.

As an Python Engineer - Data Center Hardware Integration in Canonical, you will be responsible for the day-to-day management and operations of our lab in Taipei which serves as a centre point for Ubuntu server certification of US based silicon and server designs. This includes software defined hardware management, working with, and developing data centre automation tooling (MAAS), interacting with vendors, asset tracking and handling deliveries.  

What your day will look like

• Own a fully automated server lab with the latest server and network silicon from leading vendors.
• Use your Python development skills to develop the Metal as a Service (MAAS) software to work with a large variety of server and network hardware.
• Actively expand MAAS functionality by creating integrations with testing and scheduling software such as Testflinger.
• Manage the physical setup of the lab, ensure it is well structured and tidy, and execute changes either self or through remote hands.
• Work to standardise processes, configurations, and procedures in cooperation with engineers in our other data centres.
• Improve and extend hardware and network monitoring through automation.
• Regularly update asset management tools to ensure accuracy and completeness of the lab’s hardware.
• Update of equipment firmware when appropriate/needed.

What we are looking for in you

• Bachelor’s degree, preferably in Computer Science or Software Engineering
• Python programming experience
• Linux Administration experience
• Mix of Rack and Virtual systems experience
• Able to communicate clearly and effectively in English
• Strong time management skills
• Ability to manage competing priorities
• Ability to work with a globally distributed team of passionate engineers
  
• An exceptional academic track record from both high school and preferably university
• Willingness to travel up to 4 times a year for internal events

What we offer colleagues

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

• Distributed work environment with twice-yearly team sprints in person - we’ve been working remotely since 2004!
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues from your team and others
• Priority Pass for travel and travel upgrades for long haul company events

About Canonical

Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.

Canonical has been a remote-first company since its inception in 2004.​ Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

#LI-Onsite

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1100+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

The company is founder led, profitable and growing.

Location: This is an office based role. We expect the suitable candidate to be based in Toronto as you will be required to work on-site at our lab.

We are hiring a MAAS Systems Engineer to focus on building tooling to increase data center operational efficiency. As a MAAS Systems Engineer in Canonical, you will be responsible for the day-to-day management and operations of our lab in the Toronto area, which we use for Ubuntu server certification of US based silicon and server designs. You'll write and use software that deploys and configures servers and network switches, and solve difficult design problems related to doing this well and fast at scale. You will work with a mixture of hardware: cutting edge new silicon that Kernel Team and Partner Engineering teams work on to make them run Linux extremely well, as well as established hardware to make sure new versions of Ubuntu are smooth and fast. This role is a combination of software engineering focusing on reliable automated hardware commissioning and deployment, as well as testing, troubleshooting and experimentation focusing on improving reliability and performance of our software. You don't need to be an expert in all of these areas, but you need to be a good software engineer who is curious about complex distributed systems to succeed in this role. If you love hacking in your home lab, have good Python skills, and are curious about data centre hardware, you will love this opportunity. 

This role entails

• Use your Python development skills to develop the Metal as a Service (MAAS) software to work with a large variety of server and network hardware.
• Actively expand MAAS functionality by creating integrations with testing and scheduling software such as Testflinger.
• Contribute improvements and fixes to Testflinger.
• Remotely operate a fully automated server lab with the latest server and network silicon from leading vendors, making sure it remains available to other teams.
• Improve and extend hardware and network monitoring through automation.
• Collaborate with other MAAS engineers, as well as data centre hardware specialists, teams responsible for certifying hardware for Ubuntu, kernel engineers and other teams who use the hardware lab.

What we are looking for in you

• STEM Bachelor’s degree, preferably in Computer Science or Software Engineering
• Curiosity to find out why some systems misbehave, and drive to figure out how to make them behave
• Python programming experience
• Linux Administration experience
• Ability to communicate clearly and effectively in English
• Ability to work with a globally distributed team of passionate engineers
• An exceptional academic track record from both high school and preferably university
• Willingness to travel up to 4 times a year for internal events

Nice-to-have skills

• Mix of Rack and Virtual systems experience
• Troubleshooting skills
• Systematic approach to testing
• Love for performance engineering
• Data centre operations experience

What we offer colleagues

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

• Distributed work environment with twice-yearly team sprints in person
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues
• Priority Pass, and travel upgrades for long haul company events

About Canonical

Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

#LI-hybrid

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1100+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

The company is founder led, profitable and growing.

Location: This is an office based role. We expect the suitable candidate to be based in Toronto as you will be required to work on-site at our lab.

We are hiring a Data Center Infrastructure Engineer to build and maintain MAAS test labs. As a Data Center Infrastructure Engineer in Canonical, you will be responsible for the day-to-day management and operations of our lab in the Toronto area, which we use for Ubuntu server certification of US based silicon and server designs. You'll use software that deploys and configures servers and network switches to operate the data centre and update its configuration, make sure the hardware and cabling is perfectly organised and inventoried, handle hardware deliveries and their onboarding and commissioning. You will work with a mixture of hardware: cutting edge new silicon that Kernel Team and Partner Engineering teams work on to make them run Linux extremely well, as well as established hardware to make sure new versions of Ubuntu are smooth and fast. We run our data centres using software-driven operations, and you need to be familiar with Python software development to be effective in this role. If you love hacking in your home lab, have good Python skills, and are curious about data centre hardware, you will love this opportunity. 

The role entails

• Operate a fully automated server lab with the latest server and network silicon from leading vendors, remotely and while on-site, making sure it remains available to other teams.
• Maintain accurate inventory and layout of the hardware in the data centre.
• Receive, install and configure new hardware.
• Actively exercise MAAS functionality by using integrations with testing and scheduling software such as Testflinger. Report issues and assist in troubleshooting.
• Use your Python development skills to enhance software-driven operations of the data centre.
• Improve and extend hardware and network monitoring through automation.
• Collaborate with other MAAS engineers, other data centre hardware specialists, teams responsible for certifying hardware for Ubuntu, kernel engineers and other teams who use the hardware lab.

What we are looking for in you

• STEM Bachelor’s degree, preferably in Computer Science or Software Engineering
• Excellent organisational skills
• Attention to detail
• Data centre experience
• Linux Administration experience
• Python programming experience
• Ability to communicate clearly and effectively in English
• Ability to work with a globally distributed team of passionate engineers
• An exceptional academic track record from both high school and preferably university
• Willingness to travel up to 4 times a year for internal events

Nice-to-have skills

• Troubleshooting skills
• Systematic approach to testing
• Love for performance engineering

What we offer colleagues

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

• Distributed work environment with twice-yearly team sprints in person
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues
• Priority Pass, and travel upgrades for long haul company events

About Canonical

Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

#LI-hybrid

Who we are:

MasterClass is the streaming platform where the world’s best come together so anyone, anywhere, can access and be inspired by their knowledge and stories. We put you in the room with the creators, thinkers, makers and leaders who have changed the world, so that you can change yours.

Members get unprecedented access to 200+ instructors and classes across a wide variety of fields, including Arts & Entertainment, Business, Design & Style, Sports & Gaming, Writing and more. Step into Nas’ recording studio and Gordon Ramsay’s kitchen, and go behind the big screen with James Cameron. Design your career with Elaine Welteroth, get ready to win with Lewis Hamilton, perfect your pitch with Shonda Rhimes and discover your inner negotiator with Chris Voss.

We’re a remote-first workforce with collaborative work spaces in San Francisco and Kitchener, Ontario, and employees in several U.S. states. If you’re interested in joining a dynamic, culture-driving company—where learning invaluable
skills is all in a day’s work—we invite you to apply.

Snapshot of the Role:

We’re looking for a Staff Infrastructure  Engineer who operates as a technical leader and force multiplier across the platform. This is a senior individual contributor role for someone who designs systems that scale beyond a single team, sets technical direction, and elevates how infrastructure is built and operated across MasterClass.

You’ll lead and provide direction for  cloud infrastructure, developer platforms, video infrastructure, and emerging AI/ML infrastructure—partnering closely with product engineering, content production, data, and AI teams. This role is ideal for someone who combines deep systems expertise with strong software engineering, thrives in ambiguity, and takes ownership from strategy through execution.

This is not a people-management role, but it carries significant technical leadership responsibility.

What You Will Do:

• Set technical direction for core infrastructure systems, balancing reliability, scalability, security, and developer velocity.
• Design and lead implementation of complex, cross-team infrastructure initiatives (AWS, EKS, CI/CD, shared platforms).
• Build production-grade software to power infrastructure automation, tooling, and internal platforms.
• Drive org-wide improvements in observability, incident response, reliability engineering, and cost efficiency.
• Lead video infrastructure initiatives  to evolve video delivery and CDN strategies for global scale and performance.
• Partner with AI and Data teams to define and build GPU-powered infrastructure, model-serving platforms, and GenAI inference/training workflows.
• Act as a technical mentor and reviewer, raising the bar for infrastructure design and operational excellence across teams.
• Lead by example during incidents, postmortems, and critical architectural decisions.

About You (Requirements):

• 10+ years building and operating cloud-native production systems.
• Strong expertise in:
  • AWS architecture and large-scale cloud operations
  • Kubernetes / EKS (networking, RBAC, Helm, autoscaling, cluster-level debugging)
  • Infrastructure as Code (Terraform preferred)
  • CI/CD and automation (GitHub Actions, Argo, or similar)
• Proven ability to design and build infrastructure software, not just operate systems.
• Deep understanding of distributed systems, networking, Linux internals, and cloud security.
• A track record of driving step-function improvements in reliability, scalability, or developer experience.
• Strong written and verbal communication skills; able to influence technical decisions across teams.

Who You Are

• You think in systems and leverage, not just tasks.
• You care deeply about craftsmanship, clarity, and long-term maintainability.
• You enjoy solving ambiguous, cross-functional technical problems.
• You’re pragmatic—you optimize for impact over novelty.
• You raise the bar through mentorship, design reviews, and thoughtful collaboration.
• You’re energized by both strategic architecture and hands-on implementation.

Nice To Haves

• AI/ML infrastructure, GPU scheduling, or distributed training
• Model serving frameworks (e.g., Triton, vLLM, TensorRT-LLM)
• Infrastructure autoscaling strategies, including application workloads, databases, and GenAI workloads
• KEDA, Karpenter, service mesh, or multi-cluster architectures
• HLS/DASH packaging or video encoding pipelines
  
  

  Nice-to-haves are not required; each represents a direction in which our infrastructure is evolving.

At MasterClass, we believe we put our best work forward when our employees bring together ideas that are diverse in thought. We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law. In addition, MasterClass will provide reasonable accommodations for qualified individuals with disabilities.  If you have a disability or special need, we would like to know how we can better accommodate you.

At Armis, our Sales Engineers (SE) serve as the linchpin of every prospect engagement. Working closely with our prospects to demonstrate the value of the Armis agentless platform via console demonstrations, proof-of-value deployments, and targeted training sessions.

What you'll do...

Work closely with our prospects to:

• Provide virtual and in-person technical demonstrations
• Deploy proof-of-value installations
• Lead technical training sessions based on POV findings
• Support marketing activities, conferences, speaking engagements
• Consistently and cogently address our prospects needs through astute verbal and written communication skills
• Thrive in a team-oriented culture through delivering a significant individual contribution while collaborating with and strengthening teammates
• Think critically, spanning the sales process through customer support, troubleshooting, and developing new use cases for internal and external consumption.
• Develop prospect facing documentation
• Expected to travel up to 40% of the time on average (can vary by region)

Education:

• BS degrees in computer science, MIS, or equivalent experience required

Experience:

• 5+ years experience in technical positions required (SE, Pre-Sales Engineer, Solutions Architect) ideally for a Cyber Security vendor
• 5+ years of experience in customer-facing or customer support positions
• Solid understanding of networking concepts and technologies
• A demonstrated track record of taking ownership of complex initiatives and producing successful outcomes
• Experience closing complex cyber security SaaS solutions with Enterprise Customers and supporting Sales AE's / RSM's.

Knowledge in one or more of the following:

• IoT, OT, IoMT
• Wireless technologies (WLCs, Meraki, Aruba, etc.)
• Linux Operating Systems
• Virtualized environments
• Network knowledge
• Utility Scripting (Python preferred)

We're seeking highly motivated students who possess strong technical skills and the ability to work in a fast-paced collaborative environment.

Internship opportunities are not limited to the summer and are available throughout the year.

Primary Responsibilities:

• Develop new software and enhance existing systems.
• Create tools to process, store and analyze quote, trade and financial data.
• Work closely with our traders, quantitative research analysts, implementation programmers and other groups to provide software solutions.

Requirements of the Candidate include:

• Pursuing an undergraduate or graduate level degree in Computer Science or Mathematics.
• C++ and/or Java programming knowledge or experience in a Linux environment preferred.
• Excellent academic record.
• Strong problem solving skills.
• Knowledge of shell scripts and other languages including Perl, Bash or CSH is a plus.
• Knowledge of relational databases including Sybase, SQL Server and Oracle is a plus.

We are looking for exceptionally bright and talented developers to develop and administer leading edge, global 24×7 financial trading systems in a fast paced, stimulating and dynamic environment.

Primary Responsibilities:

• Develop new software as well as enhance existing systems, mostly in C++ on a Linux platform.
• Work directly with analysts to develop and maintain large scale financial analysis trading applications in a real time development production cycle.

Requirements:

• Bachelors, Masters or Ph.D. in Computer Science or Mathematics.
• Exceptional C++ programming skills.
• Excellent academic record.