Okta Workflows is the foundation for secure integration between cloud services. By harnessing the power of the cloud, Okta allows people to quickly integrate different services, while still enforcing strong security policies. It integrates directly with an organization’s existing services, such as directories and identity systems, as well as many other applications.

With Okta Workflows, organizations can implement workflows quickly, easily, at a large scale, and low total cost. Hundreds of customers, including NTT, and MGM, trust Okta Workflows to help their organizations work faster, boost revenue, and stay secure.

Position Description: We are looking for a Principal-level engineer who is passionate about building and evolving the developer productivity ecosystem used by the entire Workflows Engineering organization.

As a productivity engineer, you’ll work with both our Engineering and Site Reliability teams, owning our developer CLI (Golang) and Kubernetes tooling, automated release processes, and CI/CD systems in CircleCI.

Job Duties and Responsibilities:

• Collaborate with the SRE and Engineering teams to manage, extend, and enhance existing developer productivity and platform tooling for local and remote Kubernetes environments
• Own and optimize CI/CD pipelines in CircleCI
• Assist in weekly release orchestration
• Automate and improve processes via Golang tooling and Okta Workflows

Minimum Required Knowledge, Skills, and Abilities:

• 10+ years of deep understanding of software engineering processes, agile framework, tools (e.g.: programming proficiency in a language, preferably Go or similar compiled language), methods, test development, algorithms, and data structures
• Experience with Cloud Native Technologies(Kubernetes, ArgoCD, Crossplane, Docker)
• Passionate about learning new technical ecosystems 
• Interested in working with container deployment and orchestration technologies at scale, with familiarity of the fundamentals to include service discovery, deployments, monitoring, scheduling, and load balancing

Preferred Qualifications:

• Experience with CI/CD Systems (such as CircleCI or Github Actions)
• Experience with development and deployment in a hosted cloud environment, preferably AWS

Education and Training: BS, MS, or PhD in Computer Science or related field

#LI-TM 

#LI-Hybrid 

P20683

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)

ABOUT THE ROLE

We are looking for a skilled Senior QA Engineer to join our team and own the quality assurance function across an active Agile delivery engagement. Reporting to the Delivery/Engineering Lead, you will be responsible for continuous test automation that runs in parallel with sprint development cycles — ensuring that every feature shipped is reliable, secure, and production-ready.

Your primary focus will span three core areas: UI automation using Cypress, API validation using Postman, and security/compliance validation through Veracode scanning. Beyond ongoing sprint support, you will serve as the dedicated QA resource during the client's formal User Acceptance Testing (UAT) phase — triaging defects, driving bug resolution, and delivering quick-fixes under real-world acceptance pressure.

This role suits a QA professional who takes ownership of quality end-to-end, can operate autonomously within a fast-moving delivery team, and understands that great QA is as much about preventing issues as catching them.

WHAT WE ARE LOOKING FOR

Must-Have

• 4+ years of experience in software QA with a strong focus on test automation in Agile/Scrum environments
• Hands-on proficiency with Cypress for UI/end-to-end test automation, including test suite architecture and maintenance
• Demonstrated experience with Postman for API testing, including collection design, environment management, and automated assertions
• Working knowledge of Veracode or equivalent SAST/DAST tools for vulnerability scanning and security validation pre-release
• Experience executing QA activities concurrently with sprint development — not just at the end of the cycle
• Proven ability to triage, prioritize, and resolve defects rapidly during UAT phases under client-facing pressure

Nice-to-Have

• Experience integrating test automation into CI/CD pipelines (Jenkins, GitHub Actions, or similar)
• Familiarity with coding standards review and quality gates as part of a release checklist
• Exposure to OWASP or other security testing frameworks

WHO YOU ARE

• Proactive by default — you don't wait to be handed a test plan; you identify gaps, build coverage, and raise risks before they become issues
• Detail-oriented under pressure — you maintain rigor during high-stakes phases like UAT without sacrificing speed or client confidence
• A clear communicator — you can translate a failing test or a Veracode flag into plain language that developers, PMs, and clients can act on
• Sprint-native — you think in iterations, adapt quickly to shifting priorities, and know how to balance thoroughness with delivery velocity
• Ownership-driven — you treat quality as your accountability, not a shared afterthought, and take pride in clean, confident releases
• Collaborative but independent — you work closely with developers and product teams, but you don't need hand-holding to deliver

As a Senior Cloud Security Engineer at 7shifts, you won't just maintain our security posture, you'll raise it. Working closely with engineering squads, infrastructure, and every team in between, you'll automate what's manual, secure what's growing fast, and help us build security into the way we work rather than bolting it on after. Reporting to our Director of Information Security and Privacy, you'll own meaningful work across cloud security, SOC 2, and the AI tooling frontier, at a company that actually moves fast enough to make it interesting.

What you’ll do:

• Replace manual SOC 2 evidence collection with automated drift detection by building Security-as-Code directly into our GCP/GKE environment
• Partner with engineering squads to embed security into the Definition of Done, so it ships with the feature, not after
• Engineer and tune Datadog SIEM detections to cut noise, surface what matters, and route high-fidelity alerts straight to #secops
• Reduce PII exposure in real troubleshooting workflows by building masking and synthetic data tooling that developers actually want to use
• Own vulnerability management end-to-end, from identifying risks to implementing mitigations across the org
• Lead incident response when it counts and run tabletop exercises so the team is ready before it does
• Evaluate and onboard new security tooling by running POCs, gathering requirements, and making calls that move us forward without slowing teams down
• Assist with execution and deliverables pertaining to Information Security roadmap
• React promptly, decisively, and independently in high-stress situations

What you bring:

• 5+ years implementing security controls and operations in a SaaS environment
• Hands-on with Google Cloud Platform (GCP) and Google Kubernetes Engine (GKE), and comfortable securing the CI/CD pipelines and GitHub Actions workflows that engineering teams actually ship through
• Real experience seeing a SOC 2 audit through to completion, not just participating in one
• Actively using AI tooling in your work today, with the judgment to help teams adopt it quickly and the instinct to know where it introduces risk
• Know your way around Infrastructure-as-Code and can spot a misconfiguration before it becomes a problem
• Understand how modern software gets built, including PR processes, and can work within them without slowing anyone down
• A strong communicator who can translate complex security tradeoffs clearly to engineers, executives, and everyone in between
• A creative problem solver who figures things out even when the resources, the team, or the playbook aren't there yet

It’d be even cooler if you had:

• Proficient in Python or Go for security automation, with the ability to read and understand code,  experience with PHP or Elixir is a significant advantage in our environment
• Deep familiarity with security technologies, including SIEM, and hands-on experience with Datadog for observability-driven security
• Solid grounding in application security, threat and risk assessments, and security risk management, with exposure to bug bounty programs as a plus

This role is an existing vacancy and is part of our current hiring plan 

Compensation

The base compensation range for this position is $130,000-$160,000 annually. This range reflects the full growth path for the role, from building core skills to accomplished performance, through to role mastery. We typically target the accomplished level when hiring externally. At this level, individuals bring relevant experience in the role, demonstrate strong job-related skills, operate with confidence and consistency, and are able to deliver impact with limited ramp-up while still having meaningful opportunity to grow.

Compensation at 7shifts is performance and growth-driven. As you develop your skills and expand your impact over time, your compensation grows with you. Your specific placement within this range is based on your job-related skills, knowledge, and experience, as well as our internal equity assessment. We are always happy to discuss our approach throughout the hiring process.

As a Senior Cloud Security Engineer at 7shifts, you won't just maintain our security posture, you'll raise it. Working closely with engineering squads, infrastructure, and every team in between, you'll automate what's manual, secure what's growing fast, and help us build security into the way we work rather than bolting it on after. Reporting to our Director of Information Security and Privacy, you'll own meaningful work across cloud security, SOC 2, and the AI tooling frontier, at a company that actually moves fast enough to make it interesting.

What you’ll do:

• Replace manual SOC 2 evidence collection with automated drift detection by building Security-as-Code directly into our GCP/GKE environment
• Partner with engineering squads to embed security into the Definition of Done, so it ships with the feature, not after
• Engineer and tune Datadog SIEM detections to cut noise, surface what matters, and route high-fidelity alerts straight to #secops
• Reduce PII exposure in real troubleshooting workflows by building masking and synthetic data tooling that developers actually want to use
• Own vulnerability management end-to-end, from identifying risks to implementing mitigations across the org
• Lead incident response when it counts and run tabletop exercises so the team is ready before it does
• Evaluate and onboard new security tooling by running POCs, gathering requirements, and making calls that move us forward without slowing teams down
• Assist with execution and deliverables pertaining to Information Security roadmap
• React promptly, decisively, and independently in high-stress situations

What you bring:

• 5+ years implementing security controls and operations in a SaaS environment
• Hands-on with Google Cloud Platform (GCP) and Google Kubernetes Engine (GKE), and comfortable securing the CI/CD pipelines and GitHub Actions workflows that engineering teams actually ship through
• Real experience seeing a SOC 2 audit through to completion, not just participating in one
• Actively using AI tooling in your work today, with the judgment to help teams adopt it quickly and the instinct to know where it introduces risk
• Know your way around Infrastructure-as-Code and can spot a misconfiguration before it becomes a problem
• Understand how modern software gets built, including PR processes, and can work within them without slowing anyone down
• A strong communicator who can translate complex security tradeoffs clearly to engineers, executives, and everyone in between
• A creative problem solver who figures things out even when the resources, the team, or the playbook aren't there yet

It’d be even cooler if you had:

• Proficient in Python or Go for security automation, with the ability to read and understand code,  experience with PHP or Elixir is a significant advantage in our environment
• Deep familiarity with security technologies, including SIEM, and hands-on experience with Datadog for observability-driven security
• Solid grounding in application security, threat and risk assessments, and security risk management, with exposure to bug bounty programs as a plus

This role is an existing vacancy and is part of our current hiring plan 

Compensation

The base compensation range for this position is $130,000-$160,000 annually. This range reflects the full growth path for the role, from building core skills to accomplished performance, through to role mastery. We typically target the accomplished level when hiring externally. At this level, individuals bring relevant experience in the role, demonstrate strong job-related skills, operate with confidence and consistency, and are able to deliver impact with limited ramp-up while still having meaningful opportunity to grow.

Compensation at 7shifts is performance and growth-driven. As you develop your skills and expand your impact over time, your compensation grows with you. Your specific placement within this range is based on your job-related skills, knowledge, and experience, as well as our internal equity assessment. We are always happy to discuss our approach throughout the hiring process.

About the team:

The Core Services team is responsible for the foundational systems that power how Forma’s platform operates at scale. This includes service-to-service communication, permissions and access control, release infrastructure, and observability.

As our platform scales toward a more distributed, multi-service architecture, this team plays a critical role in ensuring systems remain reliable, secure, and easy to operate. The work here sits at the intersection of backend engineering and infrastructure, with a strong emphasis on building robust, scalable software systems.

We are low on meetings and high on accountability, with most of the team in the EST time zone.

What you'll be doing:

Reporting to the VP of Engineering, you will help lead the design and development of foundational platform capabilities that support all backend services.

You will work on high-impact, cross-cutting problems that shape how engineers build, ship, secure, and operate services at Forma. You’ll spend significant time designing APIs, data models, application workflows, shared libraries, and backend services that other teams rely on.

Key areas of ownership include:

• Designing and implementing systems for roles, permissions, and access control across services
• Defining how services access shared permission models and identity data
• Defining how user permissions carry across product surfaces, not just machine-to-machine service authorization
• Building shared backend capabilities that support workflows such as approvals, ticketing, and cross-service coordination
• Building MCP connectors to Forma services, enabling AI tools and agents to securely access product data, workflows, and backend capabilities
• Improving and standardizing CI/CD pipelines across teams
• Establishing robust observability practices, including distributed tracing and monitoring across services
• Helping guide the transition toward a more service-oriented architecture

You will be working on some of the most critical and complex engineering challenges at Forma, with significant influence over system design and engineering practices.

What skills / traits are we looking for:

• Strong experience designing and building distributed backend systems
• Strong application engineering skills, including API design, data modeling, service boundaries, and production-quality backend code
• Experience with AI-enabled developer tooling, MCP, or internal engineering automation
• Experience working with service-oriented or microservices architectures
• Deep understanding of authentication, authorization, and access control patterns
• Previously owned or improved CI/CD systems, release processes, and production workflows
• Track record of raising reliability and observability across service boundaries (tracing, correlation, SLOs, or post-incident improvements that team adopted).
• Excellent written and verbal communication skills
• Ability to influence technical direction and collaborate across teams
• High ownership mindset with attention to detail

Nice to have:

• Experience with distributed tracing and observability tooling
• Exposure to infrastructure and platform engineering concepts
• Experience working in high-growth or scaling engineering teams

Technologies we use:

• Backend: Java, Django, Postgres
• Infrastructure: AWS, Docker, GitHub Actions, Databricks, Datadog, Grafana, Kubernetes, Helm, Argo

What success looks like:

First 30 Days

• Develop a deep understanding of Forma’s backend architecture, service boundaries, core infrastructure, CI/CD pipelines and release workflows
• Get hands-on with the codebase by contributing production code to core services or shared libraries
• Identify gaps in current implementations around service communication, auth, or observability
• Produce at least one concrete technical proposal (design doc) targeting a high-impact core services improvement

60 Days

• Own and deliver a meaningful backend/platform improvement within Core Services, such as a permissions access layer, approval workflow component, service auth pattern, or shared application library
• Write and ship well-designed, production-quality code that improves product capabilities, system reliability, or developer workflows
• Contribute to technical design discussions with clear tradeoffs and implementation plans
• Begin shaping standards for how services interact across auth, permissions, data access, workflow ownership, and API boundaries

90 Days

• Lead the design and implementation of a complex, cross-service engineering solution, such as a permissions framework, approval workflow subsystem, or inter-service authorization model
• Drive adoption of new patterns through high-quality code, documentation, and collaboration
• Establish engineering best practices for building and operating services in a distributed environment
• Act as a technical leader by raising the bar for code quality, system design, maintainability, and production ownership

 
Additional Job Info:

• This position is for an existing vacancy

What We Need

NetBrain is looking for an experienced Senior QA Engineer to work on a variety of automation-related projects for our unparalleled network automation platform, powered by agentic-AI. We need a detail-oriented and logical programmer who loves to be part of a team and is comfortable collaborating across multiple areas of the organization. This role works on a hybrid schedule at our Toronto, ON office and passion for software development and automation is a must-have!

What You'll Do

• Provide guidance and support to junior QA engineers; share best practices, testing techniques, and knowledge with the QA team.
• Develop detailed test plans and strategies based on project requirements and specifications; design comprehensive test cases and scenarios to cover functional and non-functional requirements; ensure complete coverage of all the use cases, test cases, and workflows.
• Execute manual and automated tests, ensuring thorough coverage of the application; perform different types of testing such as functional, regression, performance, usability, and security testing.
• Identify areas for improvement in QA processes and methodologies; stay updated with industry trends and incorporate new tools and practices into the QA process.
• Identify, document, and track software defects using appropriate tools; collaborate with development teams to reproduce, diagnose, and resolve issues.
• Collect and analyze quality metrics to evaluate the effectiveness of testing efforts; generate test reports and provide quality assessments to stakeholders; work closely with developers, product managers, and other stakeholders to ensure alignment on quality goals; participate in design and code reviews to provide feedback from a QA perspective.
• Evaluate and recommend QA tools and technologies; Ensure the QA environment and tools are properly set up and maintained; identify and assess risks associated with software releases and deployments; develop mitigation strategies to address potential quality issues; ensure that software meets regulatory standards and industry best practices; implement and enforce QA standards and guidelines within the team.
• Understand customer requirements and ensure that deliverables meet their expectations; act as a liaison between customers and the development team to address quality concerns.
• Develop and maintain automated test scripts to improve testing efficiency; Integrate automated tests into continuous integration/continuous deployment (CI/CD) pipelines.

What You Bring

• BS in Computer Science, Electrical Engineering or equivalent experience.
• 4+ years of experience in software testing or SDET roles.
• High proficiency in computer technology and advanced programming ability with Python, Java, Go or other general-purpose programming languages.
• Practical experience testing cloud infrastructure(AWS preferred).
• Solid API/Security testing and automation skills.
• Hands-on experience with CI/CD (Jenkins, GitHub Actions, etc.) and release engineering (pipelines, artifacts, approvals, progressive delivery).
• Strong understanding of networking (TLS, DNS, load balancing).
• Experience with virtualization technologies, specifically VMware (vSphere/ESXi) and Microsoft Hyper-V.
• Experience working in high-scale SaaS environments or large-scale distributed systems.
• Strong written and verbal English communication skills.
• Keen attention to detail and excellent problem-solving skills.
• Manual Dexterity: Repetitive motion of wrists, hands and fingers for using a computer.
• Stationary Tasks: Sitting for extended periods, remaining in a stationary position.
• Able to work in our Toronto, ON office on a hybrid schedule

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 82,000 - CAD 100,000 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.

Movable Ink is hiring a Product Security Engineer to help secure our codebases, CI/CD pipelines, and development practices. To succeed in this role, you'll balance a security-first mindset with a practical understanding of how engineering teams ship software—finding ways to reduce risk without slowing down delivery. This is a hands-on opportunity to build and improve the automation that keeps our code and infrastructure safe, working closely with both the Security and Engineering teams. As AI coding tools and supply chain attacks increase risk across the industry, this role is critical to staying ahead of vulnerabilities before they reach production.

Responsibilities:

• Implement and maintain static application security testing (SAST) using Semgrep across our repositories
• Configure and improve software composition analysis (SCA) tooling (Dependabot) to identify vulnerable dependencies
• Manage secrets detection scanning (Trufflehog) and respond to findings
• Integrate security scanning into CI/CD pipelines (GitHub Actions) to catch issues before code is merged
• Triage and prioritize vulnerability findings, working with engineering teams to drive remediation
• Support dynamic application security testing (DAST) efforts using tools like ZAP
• Contribute to our Application Security Posture Management (ASPM) platform to centralize findings and track remediation
• Set up and configure automation scripts to support our vulnerability management practices
• Document secure coding guidelines and help educate developers on security best practices
• Evaluate and recommend new security tools as the landscape evolves

Qualifications:

• 2+ years of experience in application security, DevSecOps, or a security-focused software engineering role
• Hands-on experience with SAST, SCA, or secrets scanning tools (Semgrep, Dependabot, Snyk, or similar)
• Familiarity with CI/CD pipelines and GitHub Actions
• Understanding of common web application vulnerabilities (OWASP Top 10) and how to detect/prevent them
• Experience reading and reviewing code in at least one language (Ruby, Python, JavaScript, or Go preferred)
• Comfortable navigating codebases and working with engineering teams to explain and prioritize security findings
• Strong written communication skills for documentation and customer-facing security responses
• Self-motivated and able to manage competing priorities in a fast-paced environment

The base pay range for this position is $170,000-$200,000/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.

Movable Ink is hiring a Product Security Engineer to help secure our codebases, CI/CD pipelines, and development practices. To succeed in this role, you'll balance a security-first mindset with a practical understanding of how engineering teams ship software: finding ways to reduce risk without slowing down delivery. This is a hands-on opportunity to build and improve the automation that keeps our code and infrastructure safe, working closely with both the Security and Engineering teams. As AI coding tools and supply chain attacks increase risk across the industry, this role is critical to staying ahead of vulnerabilities before they reach production.

Responsibilities:

• Implement and maintain static application security testing (SAST) using Semgrep across our repositories
• Configure and improve software composition analysis (SCA) tooling (Dependabot) to identify vulnerable dependencies
• Manage secrets detection scanning (Trufflehog) and respond to findings
• Integrate security scanning into CI/CD pipelines (GitHub Actions) to catch issues before code is merged
• Triage and prioritize vulnerability findings, working with engineering teams to drive remediation
• Support dynamic application security testing (DAST) efforts using tools like ZAP
• Contribute to our Application Security Posture Management (ASPM) platform to centralize findings and track remediation
• Set up and configure automation scripts to support our vulnerability management practices
• Document secure coding guidelines and help educate developers on security best practices
• Evaluate and recommend new security tools as the landscape evolves

Qualifications:

• 2+ years of experience in application security, DevSecOps, or a security-focused software engineering role
• Hands-on experience with SAST, SCA, or secrets scanning tools (Semgrep, Dependabot, Snyk, or similar)
• Familiarity with CI/CD pipelines and GitHub Actions
• Understanding of common web application vulnerabilities (OWASP Top 10) and how to detect/prevent them
• Experience reading and reviewing code in at least one language (Ruby, Python, JavaScript, or Go preferred)
• Comfortable navigating codebases and working with engineering teams to explain and prioritize security findings
• Strong written communication skills for documentation and customer-facing security responses
• Self-motivated and able to manage competing priorities in a fast-paced environment

The base pay range for this position is $133,000-$173,000 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.

MaintainX is the world's leading AI-powered maintenance and asset management platform, serving 13,000+ customers including Duracell, Shell, Cintas, and Brenntag. We raised $150M in Series D funding led by Bessemer Venture Partners and Bain Capital Ventures, bringing our total funding to $254M. We were named to the Forbes 2025 Cloud 100, the definitive ranking of the top 100 private cloud companies in the world. We're growing fast and hiring the engineering talent to match.

About the Role:

We are looking for a DevOps Engineer to join our DevOps team. This role sits at the intersection of infrastructure, deployment, reliability, and developer enablement. This is a hands-on technical role working closely with development teams (your internal customers) to build and improve the systems that power MaintainX.

You will play a key role in two major initiatives:

Developer Experience (DevEx)
We are evolving how developers interact with infrastructure. Our goal is to empower product engineers to independently own and deploy their services while ensuring security, scalability, and reliability. You will help build the tooling and infrastructure that makes this possible.

Platform Optimization & Efficiency
As we operate Kubernetes clusters across multiple regions worldwide, optimizing performance, reliability, and infrastructure costs is critical. You will contribute to improving efficiency and reducing platform costs at scale.

What You'll Do: 

• Build, maintain, and evolve our cloud infrastructure (primarily AWS) using Infrastructure as Code (Terraform)
• Design, implement, and improve CI/CD pipelines (GitHub Actions) for reliable deployments and releases
• Manage and optimize multi-region Kubernetes clusters
• Maintain and improve Helm charts and deployment workflows
• Strengthen observability (monitoring, logging, alerting) and define clear alert ownership
• Improve infrastructure security (image scanning, policies, networking, firewall configuration, etc.)
• Collaborate closely with product engineering teams to support their infrastructure needs
• Enable developers to independently deploy and manage services
• Participate in on-call rotation during business hours only

What You Bring:

• 3+ years of experience in DevOps, Cloud Infrastructure, or Software Engineering
• Strong experience with cloud platforms (AWS preferred; Azure/GCP experience transferable)
• Experience building and maintaining CI/CD pipelines and managing deployments
• Hands-on experience with Kubernetes in production environments
• Experience with Docker and containerized applications
• Experience with observability tools (monitoring, logging, alerting systems)
• Strong collaboration skills and ability to support engineering teams
• Continuous improvement mindset

Nice to Have:

• Networking knowledge
• Experience with C# and/or TypeScript
• Experience operating infrastructure in multi-region environments
• Agile/Scrum experience
• Product mindset — ability to understand who your internal customers are and how to best support them

What’s in it for you:

• Competitive salary and meaningful equity opportunities.
• Healthcare, dental, and vision coverage.
• 401(k) / RRSP enrollment program.
• Take what you need PTO.
• A Work Culture where:
• You’ll work alongside folks across the globe that reflect the MaintainX values: Smart Humble Optimists.
• We believe in meritocracy, where ideas and effort are publicly celebrated.
  
  

About MaintainX

Our mission is to deliver one platform for maintenance, repair & operations teams to keep the physical world running. We believe the greatest asset in any organization is the people. That’s why we built an intuitive, mobile-first solution to help boost productivity and collaboration across teams and locations.

MaintainX is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Role: Senior DevOps/ Infrastructure Engineer 

Type: Remote working EST hours 

Must be eligible for Secret Security Clearance 


Job Overview

We are seeking a Senior Infrastructure Engineer with a deep specialization in Security Design to lead the evolution of our cloud-native ecosystem. In this role, you will be responsible for architecting, building, and maintaining highly available AWS infrastructure while ensuring that security is not an afterthought, but a core component of the design. You will bridge the gap between systems engineering and cyber defense, building resilient platforms that are "secure by design."

Key Responsibilities

• Lead the design and implementation of secure AWS infrastructure, ensuring VPC patterns, peering, and transit gateways follow strict security segmentation.
• Architect and manage production-grade EKS clusters using Docker and Kubernetes, implementing advanced security controls including OPA/Gatekeeper and workload identity.
• Design and maintain secure automation pipelines using GitHub Actions, ensuring security checks are integrated into the deployment lifecycle.
• Build and maintain central identity and access systems using Keycloak, integrating OIDC/OAuth and LDAP across the enterprise.
• Develop modular, reusable Terraform templates and YAML configurations that incorporate automated compliance checks and security best practices.
• Manage and secure Postgres DB instances, including encryption strategies and secret management workflows (AWS KMS) to ensure zero-trust data handling.
• Develop custom Python-based tooling to automate infrastructure audits, remediation of drift, and security response workflows.

Must-Have Qualifications

• 10+ years in Infrastructure or Systems Engineering with a proven track record of designing secure large-scale environments.
• Expert-level mastery of AWS, Kubernetes, and Docker.
• Mandatory proficiency in Python for infrastructure automation and security tool development.
• Hands-on experience building and managing pipelines with GitHub Actions.
• Expert-level Terraform experience and mastery of YAML for configuration management.
• Practical experience designing and deploying Keycloak and OIDC/OAuth protocols.
• Experience managing and securing Postgres relational databases.

Nice to Have

• Experience with Jenkins, Azure DevOps (ADO), or Ruby scripting.
• Proficiency in Bash or Shell for system-level maintenance.
• AWS Certified Solutions Architect or AWS Certified Security - Specialty.
• Experience designing for compliance frameworks such as SOC2, ISO 27001, or NIST.

Use of Artificial Intelligence in Hiring: The Company may use artificial intelligence (AI) enabled tools to assist with certain aspects of the recruitment process, such as resume screening and candidate matching. All employment decisions are made by human reviewers. The Company uses AI responsibly and in compliance with applicable employment, privacy, data protection, and human rights laws of Ontario.

ZoomInfo is seeking a Senior DevOps Engineer with a software-first mindset to join our Platform Engineering team. We aren't just looking for someone to manage tools; we want an engineer who treats infrastructure as a software product.

This role is for a proactive owner with a big-picture mindset—someone who takes initiative, looks beyond their immediate tasks, and drives complex projects from initial design all the way to production. You will join a highly collaborative, global team where communication is key to building the "paved road" for our developers across multiple cloud providers.

What You'll do:

• Platform Development: Engineer robust, scalable CI/CD platforms using GitHub Actions, building custom actions and reusable workflows that function as a seamless internal product.
• Software Automation: Develop internal tools and CLI utilities in Go or JavaScript to automate complex SDLC tasks and eliminate manual operations.
• Kubernetes Maintenance: Act as a maintainer for our Kubernetes ecosystem, ensuring the platform is optimized for developer workloads, scalability, and high availability.
• End-to-End Ownership: Lead projects from architectural design to implementation and long-term maintenance, identifying system-wide bottlenecks before they become issues.
• Declarative Infrastructure: Lead the implementation of GitOps workflows using ArgoCD, treating application state and infrastructure as version-controlled code.
• Cloud Orchestration: Provision and manage sophisticated GCP and AWS environments using software-defined infrastructure principles.
• Global Collaboration: Work closely with distributed teams of Architects and Engineers, ensuring clear communication and alignment across different time zones.

What you bring:

• Professional Experience: 5+ years of experience in a DevOps/SRE role OR a total of 6+ years of experience consisting of at least 3 years in Software Development and 3 years in DevOps.
• High Degree of Ownership: A proven track record of taking full responsibility for projects, solving ambiguous problems, and driving initiatives end-to-end.
• Software Proficiency: Strong programming skills in Go, JavaScript, or Python, with the ability to write clean, testable code for automation and tooling.
• Kubernetes Expertise: Hands-on experience as a Kubernetes maintainer, including cluster management, resource optimization, and a deep understanding of Kubernetes internals.
• CI/CD Architecture: Proven expertise in designing complex, logic-heavy pipelines (GitHub Actions preferred).

Additional skills: 

• AI Development: Experience or knowledge in AI/ML development, including building or deploying LLM-based applications or managing AI infrastructure.
• Infrastructure as Code: Advanced experience with Terraform or Pulumi.
• Control Planes: Experience with Crossplane for managing cloud infrastructure via Kubernetes.
• Observability: Familiarity with Datadog or OpenTelemetry to monitor platform performance.
• Architecture: Experience with service mesh (Istio/Linkerd) or microservices networking.

#LI-SK1

#LI-Remote

Job Summary: 

We are seeking a highly skilled and self-motivated Senior Embedded DevOps Engineer to support our engineering  teams. This role will focus on driving changes and ensuring adherence to company-established standards for data infrastructure and CI/CD pipelines. The ideal candidate will have strong experience working with AWS and/or GCP,  cloud-based data streaming and processing services, containerized application deployments, infrastructure automation, and Site Reliability Engineering (SRE) best practices for performance and cost optimization.

What You'll do:

• Drive initiatives to implement and enforce best practices for data streaming, processing, analytics and monitoring infrastructure.
• Deploy and manage services on Kubernetes-based platforms such as Amazon EKS and Google Kubernetes Engine (GKE).
• Provision and manage cloud infrastructure using Terraform, ensuring best practices in security, scalability, and cost-efficiency.
• Maintain and optimize CI/CD pipelines using Jenkins, ArgoCD, and GitHub Enterprise Actions to support automated deployments and testing.
• Work with cloud-native data services such as AWS Kinesis, AWS Glue, Google Dataflow, and Google Pub/Sub, BigQuery, BigTable
• Familiarity with  workflow orchestration services such as Apache Airflow and Google Cloud Composer.
• Develop and maintain automation scripts and tooling using Python to support DevOps processes.
• Monitor system performance, troubleshoot issues, and implement proactive solutions to enhance reliability and efficiency.
• Implement SRE practices to improve service reliability, scalability, and cost-effectiveness.
• Analyze and optimize cloud costs, identifying areas for improvement and implementing cost-saving strategies.
• Ensure compliance with security policies and best practices in cloud environments.
• Drive adoption of company standards and influence data teams to align with best DevOps and SRE practices.
• Collaborate with cross-functional teams to improve development workflows and infrastructure.

What you bring:

• 7+ years of experience in a DevOps, Site Reliability Engineering, or Cloud Infrastructure role.
• Strong experience with AWS and GCP data services, including Kinesis, Glue, Pub/Sub, and Dataflow.
• Proficiency in deploying and managing workloads on Kubernetes (EKS/GKE) in production environments.
• Hands-on experience with Infrastructure-as-Code (IaC) using Terraform.
• Expertise in CI/CD pipeline management using Jenkins, ArgoCD, and GitHub Enterprise Actions.
• Programming skills in Python for automation and scripting.
• Experience with observability and monitoring tools (e.g., Prometheus, Grafana, Datadog, or CloudWatch).
• Strong understanding of SRE principles, including performance monitoring, incident response, and reliability engineering.
• Experience with cost optimization strategies for cloud infrastructure.
• Self-motivated and driven, with a strong ability to influence and drive changes across multiple teams.
• Ability to work collaboratively in an agile environment and support multiple teams. 

Preffered Qualifications:

• Experience with data lake architectures and big data processing frameworks (e.g., Apache Spark, Flink, Snowflake, BigQuery).
• Familiarity with event-driven architectures and message queues (e.g., Kafka, RabbitMQ).
• Experience with workflow orchestration tools such as Apache Airflow and Google Cloud Composer.
• Knowledge of service mesh technologies like Istio.
• Experience with GitOps workflows and Kubernetes-native tooling.

#LI-SK1

#LI-Hybrid

Viral Nation is seeking an AI Integration Engineer, AI/ML to serve as the primary technical engine translating high-level architectural visions into production-ready reality. Reporting directly to the Principal Architect, AI/ML and VP of Engineering, you will be responsible for the hands-on development, integration, and deployment of AI/ML models and agentic workflows within our GCP ecosystem.

What You'll Do Here:

• You will transform the Principal Architect’s reference architectures into scalable, deployable code using Python, GKE, and Cloud Run.
• Your primary focus involves building out agentic ecosystems using Google ADK (Agent Development Kit) and Model Context Protocol (MCP), specifically focusing on the Agent-to-Agent (A2A) orchestration patterns defined by the Architect.
• You will apply advanced prompt engineering and context engineering techniques to optimize LLM performance, ensuring agents maintain state and accuracy over long interactions.
• You will develop and tune high-fidelity RAG pipelines using the Google RAG Engine and Agent Engine to ensure agents have the precise context required for influencer marketing workflows.
• The role requires applying machine learning techniques to our massive datasets to implement automated anomaly detection, forecasting, and trend analysis.
• You will perform advanced data science and analysis by generating and querying high-dimensional video and text embeddings to extract insights from social media content.
• You will integrate Gemini and Model Garden LLMs into production applications while managing the technical nuances of token limits and context window optimization.
• Partnering with the Architect, you will implement MLOps practices that track agent performance, cost-efficiency, and ethical AI safeguards within the GCP IAM framework.

What You'll Need To Have:

• Advanced proficiency in Python is required for AI/ML backend development, data analysis, and API construction.
• You must possess a deep understanding of prompt engineering strategies (Chain-of-Thought, ReAct) and context engineering to maximize model reasoning capabilities.
• The position demands deep hands-on experience with Google ADK, MCP, Vertex AI Pipelines, and the Google RAG Engine.
• You should have practical experience applying classical ML algorithms for regression, forecasting, and anomaly detection on large-scale datasets.
• The role requires a strong understanding of vector databases and the manipulation of video/text embeddings for semantic search and classification.
• Deep experience with utilizing GitHub Actions to support the SDLC workflows and CI/CD standards established by the Principal Architect.

Nice To Haves

• Experience utilizing Snowflake Cortex Analyst, Cortex Search, and Snowflake Intelligence ecosystem.
• Proficiency in Node.js for full-stack integration layer and tool development is highly regarded.
• Prior experience in the digital marketing or influencer marketing space is a significant advantage.
• Experience with containerization and orchestration using Docker and GKE will help scale our autonomous systems.

Viral Nation is seeking an AI Integration Engineer, AI/ML to serve as the primary technical engine translating high-level architectural visions into production-ready reality. Reporting directly to the Principal Architect, AI/ML and VP of Engineering, you will be responsible for the hands-on development, integration, and deployment of AI/ML models and agentic workflows within our GCP ecosystem.

What You'll Do Here:

• You will transform the Principal Architect’s reference architectures into scalable, deployable code using Python, GKE, and Cloud Run.
• Your primary focus involves building out agentic ecosystems using Google ADK (Agent Development Kit) and Model Context Protocol (MCP), specifically focusing on the Agent-to-Agent (A2A) orchestration patterns defined by the Architect.
• You will apply advanced prompt engineering and context engineering techniques to optimize LLM performance, ensuring agents maintain state and accuracy over long interactions.
• You will develop and tune high-fidelity RAG pipelines using the Google RAG Engine and Agent Engine to ensure agents have the precise context required for influencer marketing workflows.
• The role requires applying machine learning techniques to our massive datasets to implement automated anomaly detection, forecasting, and trend analysis.
• You will perform advanced data science and analysis by generating and querying high-dimensional video and text embeddings to extract insights from social media content.
• You will integrate Gemini and Model Garden LLMs into production applications while managing the technical nuances of token limits and context window optimization.
• Partnering with the Architect, you will implement MLOps practices that track agent performance, cost-efficiency, and ethical AI safeguards within the GCP IAM framework.

What You'll Need To Have:

• Advanced proficiency in Python is required for AI/ML backend development, data analysis, and API construction.
• You must possess a deep understanding of prompt engineering strategies (Chain-of-Thought, ReAct) and context engineering to maximize model reasoning capabilities.
• The position demands deep hands-on experience with Google ADK, MCP, Vertex AI Pipelines, and the Google RAG Engine.
• You should have practical experience applying classical ML algorithms for regression, forecasting, and anomaly detection on large-scale datasets.
• The role requires a strong understanding of vector databases and the manipulation of video/text embeddings for semantic search and classification.
• Deep experience with utilizing GitHub Actions to support the SDLC workflows and CI/CD standards established by the Principal Architect.

Nice To Haves

• Experience utilizing Snowflake Cortex Analyst, Cortex Search, and Snowflake Intelligence ecosystem.
• Proficiency in Node.js for full-stack integration layer and tool development is highly regarded.
• Prior experience in the digital marketing or influencer marketing space is a significant advantage.
• Experience with containerization and orchestration using Docker and GKE will help scale our autonomous systems.

The AI Systems team owns the core recommendations engine that powers billions of AI-driven marketing decisions daily across some of the world's largest consumer brands. As a Senior ML Platform Engineer, you will lead the evolution of this system into a modern, scalable distributed architecture - one of the most impactful technical initiatives at Movable Ink. This is an opportunity to do deep distributed systems work on a production system that directly drives revenue for our customers, while shaping the technical direction of a team working at the intersection of systems engineering and machine learning.

Responsibilities:

• Lead the architectural evolution of the core recommendations pipeline to a modern distributed architecture, delivering incremental value while maintaining production stability
• Design, build, and operate scalable, fault-tolerant backend services that power personalization at scale across content selection, send-time optimization, subject line personalization, and frequency capping
• Identify and resolve performance bottlenecks, reliability risks, and scaling limitations across the system
• Collaborate with ML engineers and product stakeholders to translate requirements into rigorous technical designs with a clear path to production
• Own key system components end-to-end - from architecture and implementation to deployment, monitoring, and incident response
• Champion engineering best practices around system design, code quality, testing, observability, and operational excellence
• Mentor engineers and contribute to a culture of technical rigor, ownership, and continuous improvement

Qualifications:

• 5+ years software engineering experience with a focus on distributed systems
• Deep experience building and operating large-scale distributed systems that are fault tolerant, highly available, and highly concurrent
• Exemplary software engineering skills (system design, unit testing, git, code review, CI/CD)
• Strong foundation in Python
• Experience with distributed data processing frameworks (e.g. Apache Spark, Apache Flink, Apache Beam); hands-on Spark experience is a plus
• Practical understanding of distributed systems fundamentals: consensus, partitioning, replication, back-pressure, idempotency, and failure handling
• Experience with a cloud provider e.g. AWS, Azure, GCP (we use Google Cloud Platform)
• Experience with modern distributed and microservice technologies (we use Kubernetes, Kafka, and gRPC)
• Familiar with Software Development Lifecycle practices, such as continuous integration/continuous delivery and automated deployment (we use Docker, Kubernetes, and GitHub Actions)
• Strong technical leadership skills with the ability to collaborate effectively, advocate for sound architectural decisions, and mentor other engineers
• Exceptional problem-solving skills, including the ability to efficiently identify, analyze, and resolve complex issues in production systems
• A willingness and eagerness to continuously learn, adapt to evolving technologies, and strive for personal and professional improvement

The base pay range for this position is $143k-$200k 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.

Department

Platform Engineering

Who You Are

You are a tooling-focused engineer who obsesses over developer productivity. You’ve built and maintained CI/CD pipelines, developer tooling, and automation that makes engineering teams faster. You understand that the best developer tools disappear into the background - they just work. You’re equally comfortable debugging a flaky GitHub Actions workflow and designing a new internal CLI. You care deeply about reducing friction and cognitive load for your fellow engineers.

This is a foundational role. You’ll be one of the first dedicated engineers on a platform organization supporting 300+ engineers. You’ll shape not just the technical foundations but the culture and practices of the team.

Your Success Profile

What You Will Work On

• Own and evolve CI/CD infrastructure (GitHub Actions, deployment pipelines) to improve build times and deployment frequency
• Build and maintain our developer portal (Backstage) - service catalog, golden path templates, and TechDocs integration
• Create golden path templates for Go, Rails, and Vue.js services that bake in best practices automatically
• Build and maintain internal developer tooling that accelerates engineering workflows
• Configure and roll out AI-assisted coding tools (Claude Code, GitHub Copilot) with organizational guardrails
• Create self-service capabilities that enable teams to ship independently - from “I need a new service” to running in staging in under 4 hours
• Drive adoption of platform capabilities through excellent documentation and developer education
• Work with our SRE team to instrument and measure developer experience metrics (build times, deploy frequency, MTTR) to identify improvement opportunities
• Implement security and compliance automation that protects without slowing teams down

How You Will Do Your Work

As a Senior Developer Experience Engineer, how results are achieved is paramount for your success and ultimately results in our success as an organization. In this role, your foundational knowledge, skills, abilities and personal attributes are anchored in the following:

Good judgment - the exercise of critical thinking, analyzing and assessing problems and implications, identifying patterns, making connections of underlying issues, understanding risks and developing mitigation strategies, and taking ownership of the outcome.

Resourcefulness - taking a can-do approach, even in the face of obstacles and constraints by assessing what’s in front of you and effectively and efficiently optimizing what you have, whether it’s working on something new or thinking about how to do something better.

Teamwork and communication - putting our collective best together through documentation, collaboration, relationship-building, listening, empathy, recruiting, and evangelism.

Influence and leadership - fostering a community of knowledge-sharing, collaboration, mentorship, and forward-thinking.

Skills and knowledge - the capacity to actively learn and apply specific domain knowledge, know-how, and best practices to continually enhance and improve.

In addition, all team members focus on aligning their behaviors to our core values known as COGIS:

• Camaraderie - Day to day you can be seen working together toward a higher purpose. You like to have fun. You’re an active listener, treat people respectfully, and have a strong desire to know and help others.
• Openness - Your default is to be open. You’re willing to share information, understand other perspectives, and consider new possibilities. You’re curious, ask open questions, and are receptive to thoughts and feedback from others.
• Grit - You demonstrate grit by having the courage to commit and persevere. You’re committed, earnest, and dive in to get the job done well with a positive attitude.
• Integrity - Simply put, do what you say and say what you’ll do. You’re honest and forthright, have a strong moral compass, and strive to match your words with your actions while leading by example.
• Simplicity - Be like Einstein: “Everything should be made as simple as possible, but no simpler.”

Qualifications

• 5+ years of professional software engineering experience
• 3+ years of experience building developer tooling, CI/CD systems, or infrastructure automation
• Hands-on experience with CI/CD platforms (GitHub Actions strongly preferred)
• Experience with developer portals or internal platform tooling (Backstage strongly preferred; Cortex, Port, or similar also valuable)
• Experience with Kubernetes deployments and container orchestration
• Proficiency in at least two programming languages; polyglot mindset valued
• Frontend development skills - you’ll be building portal UI and developer-facing tools
• Strong systems thinking and ability to design for scale and reliability
• Excellent written communication - you document as you build

Nice to Have

• Experience with Infrastructure as Code (Terraform, CDK, or similar)
• Experience with feature management systems (LaunchDarkly, Split, etc.)
• Familiarity with workflow engines (Temporal, etc.)
• Background in developer productivity metrics and measurement
• Experience configuring or rolling out AI coding assistants (Copilot, Claude Code, Cursor)

Technologies

• CI/CD: GitHub Actions, CircleCI
• Infrastructure: Terraform, AWS, Kubernetes, Docker
• Languages: Go (primary), Python, TypeScript, Ruby - whatever fits the problem
• Platforms: Developer portals, feature flagging systems, workflow engines
• Observability: DataDog, CloudWatch

The base wage range for this position based in our New York City Office is targeted at $167,500.00 - $211,500.00 per year.

#LI-DG2 #LI-Hybrid

The Role:
In this exciting role, you will be responsible for bring up and optimizations of Cerebras’s Wafer Scale Engine (WSE). Suitable candidate will have experience delivering end to end solutions working closely with teams across chip design, system performance, software development and productization.

Responsibilities:

• On Wafer Scale Engines, develop and debug flows that embed well tested and deployable optimizations in production processes to reduce time and costs 
• Work on refining AI Systems across H/W-S/W design constraints such as di/dt, V-F characterization space, current and temperature limits in relation to optimizations for performance.
• Develop/Enhance infrastructure to enable silicon for real world workload testing
• Develop self-checking metrics, as well as instrumentation for debug and coverage
• Work with the silicon architects/designers, performance engineers and software engineers to enhance performance of Wafer Scale Engines.
• Work across domains such as, Software, Design, Verification, Emulation & Validation to refine and optimize performance and process.
• Work with CI/CD tools, git repositories, github, git actions/Jenkins, merge and release flows to streamline test and release.

Skills & Qualifications:

• BS/BE/B.Tech or MS/M.Tech in EE, ECE, CS or equivalent work experience
• 7-10+ years of industry experience
• 3-5 years of experience in Pre-silicon & Post Silicon ASIC hardware
• Good understanding of computer architecture and networking
• Excellent Coding in languages such as Python/Verilog/System Verilog and C
• Proficient in hardware/software codesign and layered architectures.
• Excellent debugging, analytical, and problem-solving skills
• Proficient in large scale testing and automation using pytest and python
• Good presentation skills to refine diverse information and put forth optimization strategies and results.
• Good interpersonal skills, ability & desire to work as a standout colleague
• Proven track record of working cross-functionally learning fast and driving issues to closure 

Preferred:

• Previous work in AI-ML with 100+ CPU core & communication fabric-based design.
• Familiarity with in-line testing and diagnostics using CPU memory and execution with self-checking.
• Knowledge of chip defect profiles and mitigation strategies across the hardware and software stack
• Familiarity in creating test and s/w infrastructure at large scale
• Working across global time zones 

Location:
Bangalore, India

Toronto, Canada

Sunnyvale, California.

For Sunnyvale: The base salary range for this position is $175,000 to $275,000 annually.  Actual compensation may include bonus and equity, and will be determined based on factors such as experience, skills, and qualifications.

The Role:
In this exciting role, you will be responsible for bring up and optimizations of Cerebras’s Wafer Scale Engine (WSE). Suitable candidate will have experience delivering end to end solutions working closely with teams across chip design, system performance, software development and productization.

Responsibilities:

• On Wafer Scale Engines, develop and debug flows that embed well tested and deployable optimizations in production processes to reduce time and costs 
• Work on refining AI Systems across H/W-S/W design constraints such as di/dt, V-F characterization space, current and temperature limits in relation to optimizations for performance.
• Develop/Enhance infrastructure to enable silicon for real world workload testing
• Develop self-checking metrics, as well as instrumentation for debug and coverage
• Work with the silicon architects/designers, performance engineers and software engineers to enhance performance of Wafer Scale Engines.
• Work across domains such as, Software, Design, Verification, Emulation & Validation to refine and optimize performance and process.
• Work with CI/CD tools, git repositories, github, git actions/Jenkins, merge and release flows to streamline test and release.

Skills & Qualifications:

• BS/BE/B.Tech or MS/M.Tech in EE, ECE, CS or equivalent work experience
• 7-10+ years of industry experience
• 3-5 years of experience in Pre-silicon & Post Silicon ASIC hardware
• Good understanding of computer architecture and networking
• Excellent Coding in languages such as Python/Verilog/System Verilog and C
• Proficient in hardware/software codesign and layered architectures.
• Excellent debugging, analytical, and problem-solving skills
• Proficient in large scale testing and automation using pytest and python
• Good presentation skills to refine diverse information and put forth optimization strategies and results.
• Good interpersonal skills, ability & desire to work as a standout colleague
• Proven track record of working cross-functionally learning fast and driving issues to closure 

Preferred:

• Previous work in AI-ML with 100+ CPU core & communication fabric-based design.
• Familiarity with in-line testing and diagnostics using CPU memory and execution with self-checking.
• Knowledge of chip defect profiles and mitigation strategies across the hardware and software stack
• Familiarity in creating test and s/w infrastructure at large scale
• Working across global time zones 

Location:

Sunnyvale, California.

Bangalore, India

Toronto, Canada 

The base salary range for this position is $175,000 to $275,000 annually.  Actual compensation may include bonus and equity, and will be determined based on factors such as experience, skills, and qualifications.

WHAT YOU'LL DO

Join the AI Platform team at Braze to build and scale BrazeAI Decisioning Studio - a reinforcement learning platform at the forefront of AI Decisioning. The platform runs continuous experimentation and personalizes customer engagement at the individual level, helping brands move from rule-based campaigns to autonomous, self-optimizing interactions. You'll work at the intersection of cloud-native infrastructure, data-intensive systems, and machine learning in production.

Main responsibilities:

• Build and maintain critical services and subsystems on our AI platform, balancing performance with cost-effective operations
• Implement cloud-native solutions that ensure reliability, scalability, and fault tolerance
• Troubleshoot production incidents end-to-end, going deep to identify root causes and implement durable fixes
• Contribute to observability practices using Sentry and Datadog to proactively detect issues and minimize downtime
• Collaborate with data scientists, ML engineers, and product teams to translate real-world use cases into platform capabilities
• Improve developer experience by streamlining workflows, enhancing tooling, and supporting MLOps best practices

Tech stack:

• Core Data & ML: Python, Ibis, FastAPI, Dataproc (Spark), SQL, BigQuery, MLflow, Streamlit
• Platform & Infrastructure: Google Cloud Platform, AWS, Kubernetes, Helm, Terraform
• Workflows & Orchestration: Airflow, RabbitMQ, Celery
• CI/CD: GitHub Actions, Jenkins
• Observability: Sentry, Datadog

Why this role:

• Production ML at scale: no toy datasets or notebook demos; you’re building infrastructure that powers real AI workloads
• Engineering rigor: unit and integration tests, modular design, CI/CD, pair programming, and code reviews are how we work, not aspirations
• Learn continuously: deep exposure to ML system architecture, end-to-end ML workflows, and reinforcement learning systems

WHO YOU ARE

• 2-4 years of experience in platform engineering, infrastructure, or a related backend role
• Solid understanding of platform architecture, particularly in ML or data-intensive environments
• Hands-on experience with Kubernetes and cloud infrastructure (GCP preferred)
• Ability to troubleshoot complex distributed systems under pressure
• Writes clean, modular code with a focus on testable APIs and maintainable design
• Experience working with AI coding assistants. Understands effective prompting strategies and can articulate when these tools add value versus when they're not appropriate
• Clear communicator who can work across technical and non-technical stakeholders
• Proactive problem solver who identifies issues and works around obstacles without waiting for direction

For candidates based in Ontario, the pay range for this position at the start of employment is expected to be between CA$125,280 and CA$235,736/year with an expected On Target Earnings (OTE) between CA$139,200 and CA$258,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company.

You’ll be joining an Analytics team responsible for all measurement, attribution, and the creation of an intuitive reporting UI for our digital marketing platform. This is a unique opportunity to shape how marketers view and interact with data - transforming raw metrics into insights that drive impactful campaigns and real business value. Join us to make your mark on a fast-growing team, take ownership of innovative projects, and work closely with cross-functional partners to build a product that marketing teams rely on daily.

Responsibilities:

• Design, build, and maintain scalable backend systems that power our measurement, attribution, and reporting capabilities
• Develop robust data pipelines and services to transform raw event streams and metrics into actionable insights
• Collaborate closely with stakeholders to define and shape a seamless, intuitive reporting UI that empowers users to understand and act on provided insights
• Own key backend components—from service architecture to deployment and monitoring—ensuring reliability, scalability, and performance at scale
• Champion engineering best practices around code quality, testing, observability, and system health
• Mentor junior engineers and contribute to a culture of technical excellence, ownership, and continuous improvement

Qualifications:

• 5+ years software engineering experience
• Experience building and maintaining large distributed systems at scale that are fault tolerant and highly concurrent
• Exemplary software engineering skills (design, unit testing, git, code review, CI/CD)
• Strong foundation in modern backend development (e.g. python, ruby, etc. - we use Python and Elixir)
• Experience with functional programming principles (we use Elixir)
• An understanding of common web based API architectures (RESTful, GraphQL) and technologies (gRPC)
• Experience with a cloud provider e.g. AWS, Azure, GCP (we use Google Cloud Platform)
• Experience with modern distributed and microservice technologies (we use Kubernetes, Kafka, RabbitMQ)
• Experience with both OLTP and OLAP systems, including designing schemas and optimizing queries
• Familiar with Software Development Lifecycle practices, such as continuous integration/continuous delivery and automated deployment (we use tools such as Docker, Kubernetes, Github Actions, etc.)
• Strong technical leadership skills with the ability to collaborate with others, communicate effectively, advocate appropriately and mentor more junior engineers to improve team efficiency 
• Exceptional problem-solving skills, including the ability to efficiently identify, analyze, and resolve complex issues, and communicate to others on the team how to contribute to the solutions for these issues.
• A willingness and eagerness to continuously learn, adapt to evolving technologies, and strive for personal and professional improvement

The base pay range for this position is $140,000-$180,000/year CAD, 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 Cloud is seeking a Principal Software Architect (Python) to own the design and hands-on implementation of our Self-Service Cloud Portal and Cloud Console, the primary interfaces customers use to manage their cloud environments. Our stack is built on OpenStack and Ceph, with a customer surface that includes a self-service portal, an enhanced open-source cloud console, and integrated CRM/ERP-based billing and account management.

This role combines architectural leadership with significant day-to-day coding. You will define the architectural roadmap, guide the team in building scalable, maintainable services, and personally deliver high-quality Python code. Partnering with backend, Golang, and React/TypeScript teams, you will ensure cohesive design, strong performance, and an excellent developer and customer experience, while helping prioritize work and mentoring engineers without direct people management responsibilities.

Key Responsibilities
Architecture and Technical Vision

• Define, document, and communicate architectural patterns, standards, and best practices for backend services, microservice integration, and portal-wide interoperability.
• Evaluate the current codebase (including CRM/billing integration and cloud console frontend) and chart a practical path toward a scalable, maintainable architecture.
• Design architectures that support multi-tenant SaaS scale, observability, reliability, and future extensibility.
• Maintain architecture diagrams, service specifications, and operational design records for cross-functional transparency.
• Collaborate with platform and infrastructure teams to align service design with Rumble Cloud OpenStack/Kubernetes-based runtime environment.

Hands-On Development
• Contribute clean, efficient Python code (e.g., FastAPI, SQLAlchemy, Jinja2) for key backend components; this role requires sustained coding, not occasional guidance.
• Build and extend backend functionality that interfaces with RESTful APIs and SQL databases.
• Partner with Golang service teams and frontend developers (React/TypeScript) for seamless integration across the product ecosystem.
• Analyze product requirements and implement new features end-to-end, proactively identifying and addressing potential issues.

Planning, Prioritization, and Delivery
• Translate product-level requirements and customer needs into actionable roadmaps, epics, and tickets.
• Help prioritize features and technical debt based on impact, dependencies, and realistic timelines.
• Drive continuous improvement in the delivery lifecycle, including code review practices, release automation, and GitHub/GitHub Actions workflows.
• Help design and implement an SDLC and SSDLC with repeatable processes for planning, development, testing, deployment, and security review.
• Identify risks and blockers early and work with stakeholders to resolve them before they affect delivery.

Mentorship and Team Guidance
• Guide senior and mid-level engineers through design reviews, pair programming, and technical planning.
• Document designs and mentor engineers to grow their architectural thinking and engineering skills.
• Communicate technical decisions and trade-offs clearly to both engineering and non-technical stakeholders.
• Collaborate with other teams and departments on integrating new functionalities and services.

Qualifications
Required Qualifications
• Expert-level Python development experience, including SQLAlchemy, Jinja2, and modern API frameworks (e.g., FastAPI, Flask, Gunicorn).
• Strong experience designing and implementing RESTful APIs and resource servers, including working with incomplete or minimal SDK documentation.
• Experience designing and implementing authentication and authorization mechanisms such as OAuth2 and OpenID Connect.
• Strong understanding of relational databases (PostgreSQL, MySQL), ORM patterns, and schema design.
• Demonstrated experience architecting distributed systems or service-oriented architectures at production scale.
• Proficiency with object-oriented and functional programming concepts.
• Proficiency with containerized development (Docker) and cloud-native deployment environments (Kubernetes).
• Hands-on familiarity with Git-based workflows, including GitHub, pull requests, and CI/CD pipelines.
• Ability to synthesize product-level requirements into actionable technical roadmaps and system designs.
• Excellent communication and mentoring skills, with a track record of guiding engineering teams toward delivery excellence.
• Demonstrated ability to act as a hands-on technical leader while maintaining architectural oversight across multiple services and teams.
• Strong problem-solving and debugging skills across complex, distributed systems.
• Ability to work effectively in a fast-paced environment, balancing immediate delivery needs with long-term architectural goals.
• Willingness to learn, be challenged, and contribute in a dynamic, fast-paced environment, with a passion for cloud-native development and open-source tooling.

Preferred Qualifications
• Strong Go (Golang) programming experience, with the ability to contribute to and review Go-based services.
• Familiarity with OpenStack APIs, services, or the broader OpenStack ecosystem.
• Familiarity with Ceph or other distributed storage systems.
• Experience with the Odoo ERP/CRM platform, including module development, customization, or integration into SaaS products.
• Background working with or extending open-source cloud console or dashboard projects.
• General familiarity with public cloud concepts (e.g., AWS, Google Cloud, Microsoft Azure).
• Experience building SaaS in a multi-tenant environment, including tenant isolation, usage metering, and self-service provisioning.
• Experience with OpenStack or Kubernetes API development, control panel design/architecture, and test-driven development with Pytest.
• Experience working within public cloud / IaaS products
• Intermediate experience or higher in 1 or more programming languages (ie: Go, C, C++, Python, Rust)
• Experience working with Rocky or Ubuntu in live environments.
• Experience working with MySQL and/or PostgreSQL 

Annual Compensation Range: 

$150,000 - $186,000 CAD base + benefits + equity (If based in Canada)

$160,000 - $195,000 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.

Software Engineer, Financial Systems

Team: IT, Security, and Corporate Engineering
Location: Toronto

About the Role

At Opendoor our goal is to build the biggest, most trusted housing platform and set a new standard for how people move. We've combined our deep, proprietary data and operational expertise with the power of artificial intelligence to make online home selling and buying radically simple.

We are eliminating the manual work that slows down operations.  We’re building AI-driven automation that closes the books faster, eliminates repetitive workflows, and gives Finance teams real-time insights without human intervention.  You’ll architect the systems that power thousands of real estate transactions monthly with audit-ready precision while enabling Finance to move fast and operate efficiently.

What You'll Do

• Build intelligent automation that eliminates manual financial workflows, from journal entries to reconciliations to month-end close processes, using AI agents and workflow orchestration.
• Design and own integrations connecting enterprise resource planning (ERP), spend management, banking, and data warehouse systems that power real-time financial operations.
• Partner with Finance, Procurement, Accounting, Accounts Payable and Capital Markets stakeholders to understand their workflows, identify automation opportunities, and deliver software solutions that increase their speed and efficiency.
• Implement observability, monitoring, and reliability practices for production financial data systems that process millions of transactions daily.
• Apply software engineering best practices (CI/CD, Infrastructure as Code, automated testing, code review) to financial systems traditionally managed through manual configuration.

Tech Stack

• Financial Platforms: NetSuite (ERP), Ramp (spend management), bank APIs
• Data & Analytics: Snowflake, dbt, Airflow/Dagster, Quicksight
• Languages: Python, Go, SQL, TypeScript/Node.js
• Infrastructure: AWS, Terraform, Docker, GitHub Actions
• AI & Automation: LLMs (Claude, OpenAI), agent frameworks, workflow orchestration

What You'll Need

• Deep conviction that AI and automation should eliminate manual work humans shouldn't be doing anyway. You're excited to eliminate manual work by replacing spreadsheets and close processes with automated systems.
• 8+ years of software engineering experience with strong skills in Python, Go, or similar languages, including API design, systems integration, and automation.
• Experience with modern data platforms (Snowflake or similar), SQL, and building reliable data pipelines.
• Strong experience with cloud platforms (AWS preferred) including CI/CD, Infrastructure as Code, and running production services.
• Proven problem-solving ability to understand complex business workflows, identify automation opportunities, and design elegant technical solutions
• Humility and genuine curiosity. You're as excited to automate journal entries as you are to architect distributed systems, and you see eliminating mundane work as deeply meaningful engineering. You genuinely enjoy understanding user needs, partnering with non-technical stakeholders, and building software that makes their work easier.

Bonus Points For

• Experience with financial/ERP systems (NetSuite, Oracle, SAP, Workday) or fintech platforms.
• Understanding of financial concepts (General Ledger, Accounts Payable, month-end close, Sarbanes-Oxley controls).
• Track record building AI-powered automation, workflow orchestration, or internal tools.
• M.S. in Computer Science.

Compensation

Our compensation plan consists of a base salary, Opendoor equity and a comprehensive package of benefits including paid time off, paid holidays, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.  All compensation parameters are based on experience.

#LI-RO

About the Role

We’re looking for a seasoned Staff Infrastructure Engineer to join our engineering team and lead the design, development, and evolution of our cloud infrastructure. In this role, you’ll be at the forefront of scaling our platform, optimizing cloud operations, and driving infrastructure best practices in a modern, services-based architecture.

You’ll work closely with the product engineering, developer experience and security teams to ensure our infrastructure is robust, secure, scalable, and aligned with our product goals. If you thrive in a fast-paced environment, have deep experience in AWS and Kubernetes, and are passionate about infrastructure as code and automation, we’d love to hear from you.

What You'll Do

• Design, build, and maintain scalable, secure, and highly available infrastructure in AWS using best practices.

• Lead our efforts in Kubernetes (EKS) architecture, cluster management, and deployment strategies.

• Collaborate with application and platform engineering teams to optimize microservices deployment, CI/CD workflows, and service orchestration.

• Define and implement infrastructure as code (IaC) using tools like Terraform or AWS CDK.

• Drive observability and performance monitoring strategies using tools like Prometheus, Grafana, Datadog, or CloudWatch.

• Champion DevOps culture across the organization and mentor other engineers on cloud-native best practices. 

• Develop and maintain disaster recovery and business continuity strategies. 

• Conduct architecture reviews, performance tuning, and capacity planning.

• Stay up to date with industry trends and emerging technologies, proactively recommending improvements.
   

What You'll Need

• 8+ years of experience in infrastructure, DevOps, or site reliability engineering roles.

• Strong expertise with AWS services (EC2, ECS/EKS, IAM, VPC, RDS, S3, etc.).

• Deep hands-on experience with Kubernetes (EKS) in production environments.

• Proficient in infrastructure-as-code tools like Terraform, Pulumi, or AWS CDK.

• Experience with microservices and distributed systems architectures.

• Strong scripting and automation skills (e.g., Python, Bash, Go). 

• Proven experience with monitoring, logging, and observability systems.

• Solid understanding of networking, security, and cloud infrastructure best practices.

• Experience in a high-scale, SaaS or cloud-native environment.

• Familiarity with service meshes (e.g., Istio, Linkerd) and container runtimes.

• Knowledge of CI/CD pipelines and tools such as GitHub Actions, ArgoCD, or Jenkins.

• AWS Certifications (e.g., Solutions Architect, DevOps Engineer) are a plus.
   

Why Join Us

• Work on cutting-edge cloud infrastructure and architecture.

• Make a real impact on how we scale and ship reliable services.

• Collaborate with a team of passionate engineers in a culture of learning and growth.

• Competitive compensation, equity, and benefits package.
   

Compensation

Our compensation plan consists of a base salary, Opendoor equity and a comprehensive package of benefits including paid time off, paid holidays, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.  All compensation parameters are based on experience.

About this role

As the Senior Staff Machine Learning Platform Engineer, you will own the technical vision and evolution of Faire’s ML platform. You will set standards, influence org-wide architecture, and lead complex, cross-functional initiatives that unlock data science velocity at scale.  This role will also be key to adapting ML workflows to take advantage of modern AI productivity tools. You won’t just build models, you will architect the systems that allow those models to help tens of thousands of small retailers compete and grow their local businesses.

What You Will Do

• Define and drive the long-term architecture of Faire’s ML platform including training, inference, feature management, governance
• Establish company-wide standards for code quality, testing, MLOps (CI/CD), experimentation, model lifecycle management, and observability
• Lead adoption and advanced use of Unity Catalog, multi-workspace strategies, and data/ML mesh patterns
• Architect highly scalable ML workflows using Spark, Delta Lake, and MLflow
• Optimize performance, reliability, and cost of the ML platform
• Evaluate and integrate emerging Databricks features
• Stay ahead of the curve by engaging with the latest developments in machine learning and AI
• Serve as senior ML technical advisor to Faire’s data science and production engineering teams 
• Represent Faire at ML conferences and meetups
• Mentor ML engineers and raise the overall bar for Machine Learning at Faire

What it takes

• 10-12 years of experience building and improving large-scale ML or data platforms.
• A degree (preferably graduate level) in Computer Science, Engineering, Statistics, or a related technical field.
• Deep expertise in Databricks lakehouse architecture, including governance via Unity catalog, orchestration via Workflows, and cost optimization
• Proven ability to design systems that support multiple data science teams and production workloads
• Strong background in distributed systems, ML infrastructure, and cloud architecture.
• Demonstrated technical leadership across teams and orgs; ability to influence without authority
• Experience integrating LLM workflows into enterprise platforms is a plus
• Previous contributions to open source ML Infrastructure projects or research publications is a very strong plus

Tech Stack

Faire uses a modern cloud based tech stack.  For this role, you’ll want to be proficient with the following:

Salary Range

Canada: the pay range for this role is $248,000 to $341,000 per year. 

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.

This job posting is for an existing vacancy.

About this role

As the Senior Staff Machine Learning Platform Engineer, you will own the technical vision and evolution of Faire’s ML platform. You will set standards, influence org-wide architecture, and lead complex, cross-functional initiatives that unlock data science velocity at scale.  This role will also be key to adapting ML workflows to take advantage of modern AI productivity tools. You won’t just build models, you will architect the systems that allow those models to help tens of thousands of small retailers compete and grow their local businesses.

What You Will Do

• Define and drive the long-term architecture of Faire’s ML platform including training, inference, feature management, governance
• Establish company-wide standards for code quality, testing, MLOps (CI/CD), experimentation, model lifecycle management, and observability
• Lead adoption and advanced use of Unity Catalog, multi-workspace strategies, and data/ML mesh patterns
• Architect highly scalable ML workflows using Spark, Delta Lake, and MLflow
• Optimize performance, reliability, and cost of the ML platform
• Evaluate and integrate emerging Databricks features
• Stay ahead of the curve by engaging with the latest developments in machine learning and AI
• Serve as senior ML technical advisor to Faire’s data science and production engineering teams 
• Represent Faire at ML conferences and meetups
• Mentor ML engineers and raise the overall bar for Machine Learning at Faire

What it takes

• 10-12 years of experience building and improving large-scale ML or data platforms.
• A degree (preferably graduate level) in Computer Science, Engineering, Statistics, or a related technical field.
• Deep expertise in Databricks lakehouse architecture, including governance via Unity catalog, orchestration via Workflows, and cost optimization
• Proven ability to design systems that support multiple data science teams and production workloads
• Strong background in distributed systems, ML infrastructure, and cloud architecture.
• Demonstrated technical leadership across teams and orgs; ability to influence without authority
• Experience integrating LLM workflows into enterprise platforms is a plus
• Previous contributions to open source ML Infrastructure projects or research publications is a very strong plus

Tech Stack

Faire uses a modern cloud based tech stack.  For this role, you’ll want to be proficient with the following:

Salary Range

San Francisco: the pay range for this role is $295,000 to $405,500 per year. 

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.

This job posting is for an existing vacancy.

About the Role:

Imagine a world where every engineer at Faire can ship code faster, deploy confidently, and test seamlessly—because of the tools you build. Our Developer Productivity team makes that vision a reality, and we're looking for a back-end engineer to help take it even further.

In this role, you will work on internal AI-powered tools, CI/CD pipelines, test automation, experimentation and translation frameworks, and other initiatives that streamline the development lifecycle. Your work will remove bottlenecks, improve reliability, and enable engineers across Faire to build at incredible speed.

What You’ll Do:

• Build and maintain high-quality features for internal developer tooling.
• Identify pain points in engineering workflows and design both immediate fixes and long-term improvements.
• Experiment with LLMs and AI-powered automation to redefine how engineers write, test, and deploy code.
• Enhance the reliability and speed of development environments, CI/CD pipelines, and automation frameworks.
• Contribute to the platform roadmap, using data-driven insights to set priorities and measure impact.

What We’re Looking For:

• 2+ years of experience in back-end development (Java, Kotlin, or similar).
• Passion for developer experience, tooling, and automation.
• Interest in AI/LLMs and their applications in developer productivity.
• Strong understanding of CI/CD systems and cloud infrastructure (GitHub Actions, Buildkite, Docker, AWS, OCI, or similar).
• Ability to collaborate across teams, solve complex engineering problems, and drive efficiency.
• Curiosity and enthusiasm for exploring new tools and technologies to enhance development workflows.
• Bonus point for experience working with monorepos and large-scale codebase management.

Salary range:

Canada: the pay range for this role is $129,500 - $178,000 per year. 

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

The Cloud DevSecOps Engineer III is responsible for bringing the concepts of development, security, and operations together to create a more robust security system for the organization. They test and monitor an organization’s system for vulnerabilities and work in collaboration with developers to create new programs that patch holes in the current security program. They add countermeasures to prevent against new threats, or simply make the program stronger and more effective. They are responsible for keeping the organization’s data, network, and IT infrastructure safe and free from security threats through monitoring, programming, testing, and communication.

What you will do:

· Build & Deploy - AWS CloudFormation and OpenTofu for template creation & maintenance

· Leverage GitHub Actions as well as AWS CodePipeline CI/CD automation Leverage AWS Cost Optimizations & AWS Well-Architected Best Practice recommendations

· HA & DR implementations, including improvements to RTO/RPO

· Help maintain AWS Operations with governance mechanisms

· Help to maintain and own the Infrastructure and Operational Excellence for the company

· Document and develop processes to support systems across the organization

· Monitor the implementation of various critical infrastructure and middleware components

· Build & Maintain and release highly available, reliable, stable products across several platforms

· Create alarms and maintain transparent monitoring of all relevant systems for tracking operational excellence, cost, and performance

· Should be able to understand complex architectures and be comfortable working with multiple teams

· Should be highly proactive with a keen focus on improving the uptime availability of our mission-critical services

What We’re Looking For:

· Must have AWS Certified SysOps Administrator and/or Solutions Architect Associate and/or Developer Associate and/or 7+ years of implementing & maintaining enterprise AWS Cloud environments.

· Experience creating, delivering, and operating multi-tenanted, distributed systems at scale

· Cloud architecture experience in AWS environment and container-based deployments using OpenTofu, GitHub Actions, AWS CodePipeline, and CloudFormation.

· Passionate for continuous learning and understanding things in and around cloud development

· Experience with various AWS services like ECS, S3, Lambda, DynamoDB, RDS, Cognito, WAF, GuardDuty, CloudFront, Route 53, EventBridge, Github Actions, etc

· Experience with any tools like DataDog, CloudWatch, or similar tools for observability

· Solid understanding of the application and infrastructure security

· Good to have knowledge on Azure and an understanding of Azure Active Directory

· Strong written and verbal communication skills

Kapitus Total Rewards Package Includes:

· Competitive Base Salary Range of $117,800-$189,000 Kapitus is providing this as a good faith salary range to comply with applicable law. The applicant’s final salary will depend on a number of factors including the applicant’s geographic location, skills, and experience.

· Annual Incentive Compensation Eligibility – Up to 10% annually

Software Engineer – Backend, Pricing (Senior level or higher)

Toronto

About the Team

The Pricing team is the engine behind Opendoor’s ability to price homes with speed, scale, and confidence. We build the core platform that turns data, models, and business logic into the prices that power our entire business.

We own mission-critical services and data infrastructure that support pricing decisions and automation. Our systems must be fast, accurate, and resilient—because small improvements can translate into major business impact.

As a software engineer on the team, you’ll collaborate with data scientists, machine learning engineers, product managers, and partner engineering and operations teams to turn ideas into resilient, production-ready systems. You’ll see your work move from design to deployment quickly and have meaningful ownership over how our pricing platform evolves and how we shape the future of real estate.

What You’ll Do

• Own the design, implementation, and evolution of core pricing services
• Design data models and write high-performance SQL over large PostgreSQL datasets
• Architect and improve APIs and integrations with Opendoor’s core marketplace platform
• Lead technical design reviews and set best practices for code quality, testing, and observability
• Partner with data science to productionize pricing models and build robust model-serving pipelines
• Drive reliability, latency, and scalability improvements across pricing systems
• Mentor other engineers and help grow the technical capabilities of the team
• Collaborate with product and cross-functional partners to define and deliver roadmap projects end to end

What You’ll Need

• 5+ years of professional backend software engineering experience
• Significant experience building and operating production systems in Go or Python
• Deep proficiency with SQL and relational databases (PostgreSQL preferred)
• Strong track record designing, building, and evolving APIs in a microservices environment
• Experience with distributed systems concepts (scalability, consistency, resiliency, monitoring)
• Experience leading technical projects from design through rollout and support
• Ability to communicate complex technical decisions clearly to both technical and non-technical stakeholders

Nice to Have

• Experience with Kafka or similar event-streaming technologies
• Experience using AI-assisted development tools (e.g. Claude Code, Cursor AI, Github Copilot)
• Experience with BPMN or other workflow engines and long-running business processes
• Experience with Redis or other caching / storage optimization technologies
• Experience with gRPC and service-to-service communication patterns at scale
• Prior experience in pricing, marketplaces, or other data-intensive domains

Compensation

Compensation range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.

#LI-DM

Software Engineer, Financial Systems

Team: IT, Security, and Corporate Engineering
Location: Seattle, Washington

About the Role

At Opendoor our goal is to build the biggest, most trusted housing platform and set a new standard for how people move. We've combined our deep, proprietary data and operational expertise with the power of artificial intelligence to make online home selling and buying radically simple.

We are eliminating the manual work that slows down operations.  We’re building AI-driven automation that closes the books faster, eliminates repetitive workflows, and gives Finance teams real-time insights without human intervention.  You’ll architect the systems that power thousands of real estate transactions monthly with audit-ready precision while enabling Finance to move fast and operate efficiently.

What You'll Do

• Build intelligent automation that eliminates manual financial workflows, from journal entries to reconciliations to month-end close processes, using AI agents and workflow orchestration.
• Design and own integrations connecting enterprise resource planning (ERP), spend management, banking, and data warehouse systems that power real-time financial operations.
• Partner with Finance, Procurement, Accounting, Accounts Payable and Capital Markets stakeholders to understand their workflows, identify automation opportunities, and deliver software solutions that increase their speed and efficiency.
• Implement observability, monitoring, and reliability practices for production financial data systems that process millions of transactions daily.
• Apply software engineering best practices (CI/CD, Infrastructure as Code, automated testing, code review) to financial systems traditionally managed through manual configuration.

Tech Stack

• Financial Platforms: NetSuite (ERP), Ramp (spend management), bank APIs
• Data & Analytics: Snowflake, dbt, Airflow/Dagster, Quicksight
• Languages: Python, Go, SQL, TypeScript/Node.js
• Infrastructure: AWS, Terraform, Docker, GitHub Actions
• AI & Automation: LLMs (Claude, OpenAI), agent frameworks, workflow orchestration

What You'll Need

• Deep conviction that AI and automation should eliminate manual work humans shouldn't be doing anyway. You're excited to eliminate manual work by replacing spreadsheets and close processes with automated systems.
• 8+ years of software engineering experience with strong skills in Python, Go, or similar languages, including API design, systems integration, and automation.
• Experience with modern data platforms (Snowflake or similar), SQL, and building reliable data pipelines.
• Strong experience with cloud platforms (AWS preferred) including CI/CD, Infrastructure as Code, and running production services.
• Proven problem-solving ability to understand complex business workflows, identify automation opportunities, and design elegant technical solutions
• Humility and genuine curiosity. You're as excited to automate journal entries as you are to architect distributed systems, and you see eliminating mundane work as deeply meaningful engineering. You genuinely enjoy understanding user needs, partnering with non-technical stakeholders, and building software that makes their work easier.

Bonus Points For

• Experience with financial/ERP systems (NetSuite, Oracle, SAP, Workday) or fintech platforms.
• Understanding of financial concepts (General Ledger, Accounts Payable, month-end close, Sarbanes-Oxley controls).
• Track record building AI-powered automation, workflow orchestration, or internal tools.
• M.S. in Computer Science.

Compensation

The base pay range for this position is $198,000 - $271,000 USD annually, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.

#LI-RO

Software Engineer, Security Engineering

Team: IT, Security, and Corporate Engineering
Location: Toronto, Ontario

About the Role

At Opendoor our goal is to build the biggest, most trusted housing platform and set a new standard for how people move. We've combined our deep, proprietary data and operational expertise with the power of artificial intelligence to make online home selling and buying radically simple.

Our Security Engineering team is building intelligent systems that protect Opendoor and our customers while enabling unprecedented engineering velocity. We apply software engineering and AI to solve security problems across product, infrastructure, and operations by building guardrails where they matter, not gates where they don't.

What You'll Do

• Build systems and AI agents that harden infrastructure, protect sensitive data, and facilitate safe transactions for home acquisition, resale, mortgage, title, and escrow.
• Design workflows and CI/CD pipelines that enable engineers and non-engineers alike to design, build, and ship safely.
• Set new standards and security patterns for AI maximalist engineering and operations.
• Apply deep expertise in threat modeling and risk management to understand and enable complex business operations.
• Mentor engineers and colleagues in security, software engineering, and AI.

Tech Stack

• Languages: Python, Go, Ruby, Terraform
• Corporate Platforms: Okta, AWS, Google Workspace, Slack, Jamf, CrowdStrike
• Engineering: AWS, GitHub, CI/CD pipelines, Infrastructure as Code (Terraform)
• AI Tools: Claude, OpenAI, agent frameworks, workflow automation

What You'll Need

• Deep conviction that AI and automation should eliminate manual work humans shouldn't be doing anyway. You're excited to replace developer toil and reactive firefighting with automated systems and guardrails.
• Business enablement security mindset - measuring security success by business impact, which means informed risk taking.
• 8+ years of software engineering experience with strong skills in Python, Go, or similar languages.
• Expertise in cloud security architecture, Kubernetes, container orchestration, and identity management.
• Humility and genuine curiosity—you're as excited to learn and enable the business and your colleagues as you are to utilize cutting edge tools and techniques in security and AI.

Bonus Points For

• Incident response training and experience.
• M.S. in Computer Science or security-focused graduate work.

Compensation

The base pay range for this position in Seattle is $214,000 - $294,000 USD annually and in Toronto it is $177,000-243,000 CAD, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.

#LI-RO

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.

Position Summary

As a Software Engineer, Dev Productivity, you’ll work at the intersection of software development, automation, and infrastructure. Your mission is to streamline engineering workflows, optimize CI/CD systems, build and testing infrastructure, and enhance developer tooling to accelerate software delivery.

Key Responsibilities

• Design, build, and maintain high-performance CI/CD pipelines to improve development speed and reliability.
• Develop internal tools and automation to reduce friction in engineering workflows.
• Optimize build and test infrastructure for faster feedback loops.
• Work closely with engineering teams to identify and eliminate inefficiencies in the development process.
• Enhance and monitor developer environments to improve developer experience
• Advocate for best practices in software development, version control, and release management.
• Drive the adoption of automation and tooling that increase engineering efficiency.

Key Qualifications

• Strong experience with CI/CD tools like GitHub Actions, Jenkins, GitLab CI, Buildkite, or CircleCI.
• Experience with build systems (e.g., Bazel, CMake, Make, Gradle).
• Experience with python dependency management (e.g. poetry, uv)
• Knowledge of containerization and Kubernetes for scalable builds and testing.
• Strong problem-solving skills and a passion for improving developer experience.
• Proficiency in scripting and automation with Python, Bash, or Go.
• Excellent communication skills and ability to work across teams.

Preferred Qualifications

• Experience with docker image build optimization
• Experience with bazel
• Experience with GPUs

What HeyGen Offers

• Competitive salary and benefits package.
• Dynamic and inclusive work environment.
• Opportunities for professional growth and advancement.
• Collaborative culture that values innovation and creativity.
• Access to the latest technologies and tools.

Salary Range
$180,000 – 240,000 annually
Please note that the salary information is a general guideline only.  HeyGen considers factors such as scope and responsibilities of the position, candidate's work experience, education/training, key skills, and internal equity, as well as location, market and business considerations when extending an offer.  As part of our total rewards package, HeyGen offers comprehensive benefits including a 401k plan, health benefits, generous PTO, a parental leave program and emotional health resources.

HeyGen is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.