About the Team:

We’re looking for a Staff Software Engineer I/II to join our Data Ingestion Team, which builds and operates the critical infrastructure that serves as the “front door” of StackAdapt’s event flow. In this role, you’ll own technical direction for critical parts of our ingestion platform, lead large-scale initiatives, and shape how data flows across the company.

The Data Ingestion team tackles complex distributed systems challenges at massive scale, with a focus on scalability, performance, and reliability. Our systems process over 10 billion events per day, powering core functions across bidding, reporting, billing, analytics, and machine learning. You will work on challenging technical problems and partner with teams across the company to drive key initiatives.

We design + build low-latency, highly reliable distributed systems for impressions, clicks, conversions, and third-party signals, ensuring data is accurate and available to downstream teams in real time. This is a high-impact area at the core of StackAdapt’s platform, the systems you own will directly shape data quality, system reliability, and the speed at which teams across the company can build and innovate. Our work sits at the cutting edge of large-scale distributed systems, leveraging modern technologies and architectures to solve complex real-time data challenges. The core stack includes Golang, Kafka, TiDB, Aerospike, Vitess, Kubernetes, and more.

If you enjoy solving complex distributed systems problems at scale and driving technical impact across teams, this role would be a great fit for you.

StackAdapt is a Remote First company. We are open to candidates located anywhere in Canada or the United States for this position.

What You’ll Be Doing:

• Own and lead large technical initiatives end-to-end, from design through production and monitoring
• Provide technical leadership and mentorship to engineers across the team
• Design, build, and operate highly scalable, distributed ingestion services for real-time and near-real-time scenarios
• Contribute hands-on as needed while enabling the team to execute effectively
• Build and maintain event ingestion pipelines using streaming technologies like Kafka
• Work with high-volume storage systems and databases to persist and serve data efficiently
• Partner with Data, ML, Product, and Platform teams to support evolving requirements
• Improve code quality, testing practices, system reliability, and observability
• Participate in design reviews, code reviews, and architectural discussions
• Balance and prioritize projects to maximize impact and align with company objectives

What You’ll Bring to the Table:

• Extensive experience building distributed systems and high-throughput backend services
• Proven ability to lead technical direction and drive large, cross-team initiatives
• Strong problem-solving and communication skills, with comfort working in ambiguous, complex domains
• Collaborative mindset with the ability to influence across teams
• Ability to think strategically, lead technically, and drive high-impact, scalable solutions
• Hands-on experience with streaming systems (Kafka or similar)
• Strong understanding of distributed systems trade-offs (consistency, availability, partition tolerance, scalability)
• Maintains an AI-forward approach to software engineering - leveraging AI to boost productivity, collaboration, and business automation
• Bonus: Familiarity with AdTech, event-driven architectures, or analytics systems

#LI-TM8

Who we are

About the Organization 

Link is a digital wallet designed for effortless and secure online payments and digital transactions. With Link, consumers enjoy convenience and peace of mind: it works on any device or browser, is backed by the highest security mechanisms, offers purchase protections on eligible items, and ensures seamless and quick payments. Across the Link Engineering org, we focus on building delightful payment experiences and to allow our global consumer base to pay with their preferred payment methods. Our team’s work spans the entire stack from front-end experiences, to infrastructure that supports low-latency transactions, to intelligent systems that help protect consumers and merchants from bad actors.

Team Matching: exact team matching for one of the subteams will begin during final stages. Please note we may also consider you for different orgs based on your experience, location, etc. More information on our team matching process can be found here.

What you’ll do

We’re looking for engineers who want to make an impact on payments at a global scale. You’ll play a key role in expanding our product suite and the infrastructure that supports it. Our team collaborates with many cross-functional teams and many other teams across Stripe to deliver innovative solutions that address evolving user needs.

Responsibilities

• Build and design the next generation of Stripe products, to meet the high growth needs of our company and customers for years to come.
• Debug and solve critical production issues across services and multiple levels of the stack
• Mentor engineers to help them grow
• Collaborate with stakeholders across the company to build new features at large-scale, while improving internal engineering standards, tooling, and processes
• Collaborate effectively in a distributed and hybrid team, maintaining open communication and strong connections with colleagues

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 2-10+ years of industry software engineering experience (does not include internships nor includes co-ops)
• Strong coding skills in any programming language 
• Strong collaboration skills, can work across workstreams within your team and contribute to your peers’ success
• Have the ability to thrive on a high level of autonomy, responsibility, and think of yourself as entrepreneurial
• Interest in working as a generalist across varying technologies and stacks to solve problems and delight both internal and external users

Preferred Qualifications

• Experience with large-scale financial tracking systems
• Good understanding and practical knowledge in cloud based services (e.g. gRPC, GraphQL, Docker/Kubernetes, cloud services such as AWS, etc.) 

About this role

As a Staff Machine Learning Platform Engineer, you will help design, improve, and operate a scalable ML platform to accelerate model training, deployment, and governance. You are the technical bridge between data science and production engineering.  You’ll be joining a small but deeply critical team that scales Faire’s ability to support tens of thousands of local businesses in a constantly narrowing retail landscape.

What You Will Do

• Design and operate ML infrastructure, including workspaces, clusters, jobs, and workflows
• Productionize ML workloads using Spark, Delta Lake, MLflow, and Databricks Workflows
• Teach data scientists how to utilize our ML platform to advance development from notebook to production for our most critical models
• Implement Unity Catalog for data governance, lineage, access control, and secure multi-tenant usage
• Build CI/CD pipelines for ML using Terraform and Git-based workflows (e.g., GitHub Actions)
• Optimize performance, reliability, and cost across training and inference workloads
• Configure Identity and Access Management (IAM) and Role Based Authentication Controls (RBAC) for sensitive data sets
• Establish observability for data quality, model performance, and platform health
• Build and maintain ML Platform technical documentation

What it takes

• 8+ years of experience building production ML or data platforms
• A degree (preferably graduate level) in Computer Science, Engineering, Statistics, or a related technical field
• Strong hands-on expertise with Databricks, Spark, Delta Lake, and MLflow.
• Proficiency in Python, SQL, and distributed systems concepts
• Experience with cloud platforms and infrastructure-as-code
• Solid understanding of MLOps best practices: CI/CD, monitoring, reproducibility, and security
• Experience supporting multiple ML teams in a shared platform environment
• Are an active owner of orphaned problems and are willing to assimilate whatever knowledge you’re missing to get the job done

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 $216,000 to $297,000 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.

Drive the future of resilient, cloud-first database platforms powering mission-critical payment ecosystems.

The Role

We are seeking a highly skilled AppOps DBA to join our Technology & Engineering team. In this role, you will play a key part in developing, operationalizing, and supporting next-generation on-premises and cloud database solutions. You will provide technical leadership across Oracle, Exadata, and Aurora PostgreSQL platforms, helping to ensure high availability, scalability, security, and operational excellence across mission-critical environments.

Working closely with Development, QA, Platform Engineering, and AppOps teams, you will contribute to automation-led database operations, cloud transformation initiatives, and continuous performance optimization in a fast-paced, highly collaborative environment.

What You’ll Do

• Manage and optimize Oracle, PostgreSQL, Aurora, AWS RDS, and Exadata database environments to ensure performance, reliability, and availability.
• Lead database operationalization initiatives including automation, observability, resiliency, backup, recovery, replication, and disaster recovery strategies.
• Support and influence cloud migration programs from Oracle on-premises environments to AWS-based Oracle and Aurora PostgreSQL platforms.
• Implement CI/CD pipelines, Infrastructure as Code practices, and intelligent automation to streamline deployment and operational processes.
• Collaborate cross-functionally with engineering, product, and support teams while participating in rotating on-call production support activities.

What We’re Looking For

• Strong hands-on experience managing Oracle Exadata, AWS RDS, Oracle, and Aurora PostgreSQL database environments.
• Expertise in AWS technologies including EC2, S3, Aurora, Redshift, AWS DMS, and AWS Schema Conversion Tool (SCT).
• Deep understanding of database architecture, SQL tuning, PL/SQL, performance optimization, backup and recovery strategies, and high-availability design.
• Experience with DevOps methodologies, container platforms such as Kubernetes and Docker, and Infrastructure as Code tools including Terraform, CloudFormation, and Ansible.
• Excellent communication, collaboration, and technical documentation skills, with the ability to work effectively across business and technical teams.

Bonus Points For

• AWS Certified Database – Specialty certification.
• AWS Certified Data Engineer or AWS Certified Solutions Architect certification.
• Oracle Cloud or Oracle Database certifications.
• Experience mentoring technical teams and driving operational best practices.
• Previous experience supporting large-scale distributed production environments in financial services or highly regulated industries.

Why Join Capco

• Deliver high-impact technology solutions for Tier 1 financial institutions.
• Work in a collaborative, flat, and entrepreneurial consulting culture.
• Access continuous learning, training, and industry certifications.
• Be part of a team shaping the future of digital financial services.
• Help shape the future of digital transformation across FS & Energy.

Benefits

• Comprehensive Benefits Coverage – 100% company-paid health, life, and disability insurance effective from Day 1 of employment.
• Retirement Savings Program – RRSP with optional employer matching contributions.
• Virtual Health Care and Employee & Family Assistance Program available to employees and dependents.
• Enhanced parental leave benefits, wellness reimbursement, and new parent support programs.
• Business Coach from Day 1 with continuous learning and development opportunities.

Inclusion at Capco

We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.

Use of Artificial Intelligence in Talent Acquisition

At Capco, we use artificial intelligence (AI) tools to support and enhance several parts of talent acquisition. This includes using AI-enabled features within LinkedIn to help source potential candidates, speeding up routine recruitment communications such as emails and creating compelling and brand-aligned job postings that accurately reflect role requirements, and AI-scheduling applications to improve the efficiency of interview coordination.

AI is used as a support tool only. All hiring decisions are made by talent acquisition and hiring teams.

Why This Role Is Open

We are currently hiring for this role due to an existing or newly created vacancy within our organization. This position is open as part of our ongoing business needs, and we are actively reviewing applications to fill this role with a qualified candidate who can make an immediate impact.

#LI-hybrid

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)

Role Overview 

We are seeking an accomplished Principal Engineer to lead the technical architecture and evolution of our hybrid digital ecosystem. In this pivotal role, you will drive the strategic integration of multi-modal AI into our core infrastructure while architecting an omnichannel platform capable of supporting complex customer journeys. You will balance the adoption of proven third-party AI solutions (OpenAI, Anthropic) with the development of proprietary optimizations where they deliver a competitive advantage. As a technical leader, you will champion a vendor-agnostic, ethically grounded, and Privacy by Design approach to AI implementation.

Key Responsibilities

• Infrastructure Modernization: Lead the roadmap for migrating legacy data pipelines to AI-native architectures. You will design modern data orchestration solutions utilizing Apache Airflow, dbt, and Kafka to replace outdated batch processing with real-time, event-driven flows.
• AI-Native Web Transformation: Define the web infrastructure required for a high-agility ecosystem. Architect the evolution of our Headless CMS environments (AEM, Contentful) and modern frontend frameworks to enable automated page assembly and AI-driven UI components.
• Agentic Pipeline Development: Design and build autonomous pipelines that bridge the gap between design systems, automated component development, and publishing workflows.
• ML & Data Engineering Leadership: Establish standards for RAG, vector databases, and LLM orchestration. Provide architectural guidance for the seamless integration of AI capabilities across headless and omnichannel systems while ensuring consistency, performance, and security.
• Engineering Productivity: Champion the use of AI-assisted coding and engineering productivity tools such as Claude Code and Cursor to accelerate development cycles and optimize architectural decision-making.

Required Qualifications

• Experience: 8–10 years in software engineering, specializing in SaaS platform architecture and distributed systems design.
• Leadership & Advocacy: Excellence in technical diplomacy and stakeholder influence. Proven ability to translate complex AI/Data roadmaps into business value while mentoring senior teams and advocating for architectural best practices.
• Data Orchestration: Strong hands-on experience with Apache Airflow (or similar), Kafka, and dbt to support real-time AI applications.
• AI & Web Convergence: Proven expertise integrating LLMs into production web environments with a focus on agentic workflows and autonomous UI generation.
• Architectural Vision: Deep understanding of headless CMS, composable, and event-driven patterns that allow for programmatic content and UI generation.
• Modern Delivery: Experience with cloud-native technologies (AWS/GCP, Docker, Kubernetes) and a deep expertise in data privacy frameworks and AI ethics.

#LI-Hybrid

#P24079_3413893

Marqeta is looking for a talented Senior Software Engineer to independently identify and deliver software solutions on our Data Infrastructure team through a set of milestones spanning a specific platform focus or a multi-component system. You will own and deliver projects in service of quarterly goals on the team and independently identify solutions to solve ambiguous, open-ended problems. You will work in collaboration with your team and cross-functional partners.

The Data Infrastructure team, within our Data & ML Platforms organization, is responsible for the data lakehouse, streaming, orchestration, and catalog platforms that power analytics and AI across Marqeta. We're a platform engineering team building infrastructure that other engineering teams depend on.

At Marqeta, participation in a rotational on-call pager duty is a required part of the software engineering role. The specifics of the rotation may vary by team, depending on team size and structure, and will be discussed further during the interview process.

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

Learn more about our Product and Engineering team

The Impact You'll Have

• Define and deliver well-scoped milestones for projects, and may be a technical lead for projects on your team.
• Lead design for small-to-medium components and participate in design for larger components, moving from task-level impact to small-to-medium project-level impact.
• Have significant ownership of a component of the data infrastructure, including its reliability, performance, and developer experience.
• Identify gaps and propose plans towards addressing those gaps.
• Independently write code that is clear, well-tested, and appropriately flexible, reusable, and adaptable to changing requirements.
• Actively level up less-experienced members of your team by helping them with their craft, providing guidance, and setting a good example.
• Participate in on-call coverage.

Who You Are

• 5+ years of experience as a software engineer with a Bachelor's degree; or 3 years of experience with an advanced degree. In lieu of a degree, 8+ years of relevant experience may suffice.
• Strong proficiency in Python in a production context.
• Proficiency with SQL.
• Experience working with distributed systems.
• Production experience with multiple core data technologies, including Apache Kafka, Apache Spark, and Apache Airflow (or close equivalents).
• Production experience with modern table formats (Parquet, Hudi, Iceberg, or Delta Lake).
• Production experience with AWS or another major cloud.
• Experience with infrastructure-as-code (Terraform, CloudFormation, CDK, or equivalent).
• Experience monitoring and alerting on production systems.
• Ability to decompose business problems into solutions that may require designs with multiple interacting components.
• Ability to build correct, maintainable software components.
• Ability to work with cross-functional stakeholders to identify technical blindspots and clarify ambiguity.
• Ability to present clear and concise messages tailored to various audiences; able to communicate clearly and respectfully both verbally and in writing.
• A focus on quality and meeting deadlines.
• Ability to decompose business problems into solutions that may require designs with multiple interacting components.
• Ability to build correct, maintainable software components.
• Ability to work with cross-functional stakeholders to identify technical blindspots and clarify ambiguity.
• Ability to present clear and concise messages tailored to various audiences; able to communicate clearly and respectfully both verbally and in writing.
• A focus on quality and meeting deadlines.

Nice-To-Haves

• Experience with payments or the FinTech space.
• Experience with Apache Iceberg specifically.
• Experience with CDC tooling, particularly Debezium or Kafka Connect.
• Experience with data catalog tooling (DataHub or equivalent).
• Experience with Java in addition to Python.
• Exposure to Kubernetes and container-based workloads.
• Experience building scalable software platforms.

Our (typical) process:

1. Application Submission
2. Recruiter Video Call
3. Coding Interview & Hiring Manager Interview
4. Virtual “Onsite” consisting of three 60 minute rounds
5. Offer!

Compensation and Benefits

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

When determining salaries, we consider several factors including, but not limited to, skills, prior experience, and work location. The new-hire base salary range for this position, reflected in CAD, is: 116,000 - 145,000

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

Along with monetary compensation, Marqeta offers

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

About the Team

We build enterprise software that helps organizations optimize sales performance, enabling go-to-market agility. Our engineering organization includes multiple product application teams responsible for delivering core customer-facing capabilities. We are seeking Staff Backend Engineers to join our application teams. You’ll work alongside other staff, senior, and early-career engineers to define, evolve, and scale the systems that power enterprise-grade product workflows. This is an opportunity to influence both technical direction and product direction. We are low on meetings, high on accountability. Most of the team are in EST time zone but we have a few located in AST, PST and Central as well.

What you’ll be doing

You will play a critical role in the continued evolution of our application stack. You will lead development efforts for complex backend capabilities and serve as a technical example in system design, code quality, and long-term maintainability. You’ll operate at the intersection of data modelling, business logic, and enterprise scale reliability.

As a Staff Engineer, you are expected to operate with a high degree of ownership and trust. This includes proactively identifying architectural risks, surfacing edge cases or constraints others may not see, and advocating for improvements that strengthen the long-term integrity of the system. We value engineers who bring forward thoughtful perspectives - even when they challenge assumptions - and who help the team see around corners.

You will:

• Design and evolve backend services that power product workflows.
• Architect data models representing hierarchical & graph structures, relationships, and large-scale enterprise datasets.
• Build deterministic, reliable systems that allow customers to reason clearly about their data.
• Drive architectural decisions that balance extensibility, performance, and operational simplicity.
• Improve observability, testing strategy, and production reliability across backend services.
• Partner closely with Product to translate nuanced business requirements into clean, scalable designs.
• Mentor engineers across levels and help raise the bar for backend engineering standards.
• Use, and demonstrate using, AI tooling to improve implementation velocity while thoughtfully investing in technical and product specifications

What We're Looking for:

• Significant experience designing and building complex backend systems in production environments.
• Demonstrated ability to surface unarticulated risks, propose alternative approaches, and advocate for architectural improvements with sound technical reasoning.
• Expertise in at least one production-grade backend language (e.g., Python, Java, Kotlin, Go, C#, etc.).
• Strong foundation in relational schema design, data modelling, and SQL.
• Experience working with hierarchical, graph-like, or relationship-heavy data structures.
• Familiarity with graph databases or graph-based modelling concepts is a strong plus.
• Excellent written and verbal communication skills.
• A track record of improving scalability, reliability, and observability in distributed or data-intensive systems.
• A desire to influence architecture and product direction - not just implement tickets.
• Thrive in a collaborative, detail-oriented environment across Engineering, Product, and Analytics.

Nice to have:

• Experience building SaaS products serving mid-market or enterprise customers.
• Experience building rule-driven systems, validation workflows, or approval/governance platforms.
• Familiarity with AWS-based infrastructure and Kubernetes.
• Exposure to Sales Performance Management (SPM), RevOps, Incentive Compensation (ICM), or related domains. ****

Technologies we use

Frontend: JavaScript, React, TypeScript

Backend: Java/Springboot, Django, Postgres

Infrastructure: AWS, Docker

What success looks like: 30/60/90 days

First 30 days

You’ll focus on building deep context across the product domain, backend architecture, and the data models that power Forma’s platform.

By the end of your first 30 days, you will have:

• Developed a strong understanding of Forma.ai’s product, customers, and sales performance domain.
• Built a clear mental model of the backend architecture, core services, and data flows across the system.
• Gained familiarity with key data models, including hierarchical structures, relationships, and workflow-driven entities.
• Set up your development environment and become comfortable navigating the codebase, services, and infrastructure.
• Learned the team’s engineering practices around testing, observability, deployment, and reliability.
• Built relationships with engineering, product, and analytics partners.
• Contributed to technical discussions, asking thoughtful questions and identifying early areas of complexity or risk.
• Shipped small but meaningful improvements or fixes to build familiarity with the system.
• Started identifying opportunities to improve data modeling, system clarity, or backend reliability.

First 60 days

You’ll begin owning meaningful backend systems and influencing technical decisions.

By the end of your first 60 days, you will have:

• Taken ownership of a significant backend component, service, or workflow.
• Designed and delivered well-structured, maintainable backend code aligned with system standards.
• Partnered closely with Product to translate complex business requirements into scalable backend designs.
• Demonstrated strong judgment in data modeling, especially around relationships, hierarchy, and workflow representation.
• Identified and surfaced architectural risks, edge cases, or inconsistencies in existing systems.
• Proposed and, where appropriate, implemented improvements to backend architecture, data models, or service boundaries.
• Contributed to improvements in observability, testing, and production reliability.
• Participated actively in code reviews and technical design discussions, raising the bar for quality and clarity.
• Begun mentoring or supporting other engineers in areas of strength.
• Built enough system context to make informed tradeoffs between performance, extensibility, and simplicity.

First 90 days

You’ll be operating as a trusted technical leader across backend systems.

By the end of your first 90 days, you will have:

• Led the design and delivery of a complex backend initiative spanning multiple services or domains.
• Introduced or significantly improved core data models, system architecture, or workflow handling.
• Demonstrated the ability to anticipate and mitigate long-term architectural risks.
• Influenced technical direction through clear, well-reasoned proposals and design decisions.
• Improved the reliability, observability, or scalability of critical backend systems.
• Established strong working relationships across Engineering, Product, and Analytics.
• Elevated engineering standards through mentorship, design reviews, and technical guidance.
• Helped the team better reason about complex, data-intensive workflows through clearer system design.
• Identified and begun executing on longer-term backend investments that improve system integrity and developer velocity.
• Demonstrated clear impact on both system quality and the team’s ability to deliver confidently at scale.

Additional Job Info:

• This position is for an existing vacancy

 Who you’ll be working with

You’ll join our fast-moving engineering team where ownership is key. You will collaborate closely with engineering leads, developers, product management, and QA while independently driving infrastructure, deployment, and system reliability initiatives.

You will be expected to take end-to-end responsibility for DevOps processes and execute effectively with minimal guidance in a high-impact environment.

What you’ll be doing

• Design, implement, and manage end-to-end CI/CD pipelines
• Build and maintain Infrastructure as Code (Terraform preferred)
• Execute and manage services in multi-cloud environments (min. 2: AWS / Azure / GCP)
• Containerize applications using Docker and orchestrate with Kubernetes
• Configure and optimize CDN, networking, and edge delivery (CloudFront, Cloudflare, etc.)
• Implement observability, logging, and monitoring systems (Prometheus, Grafana, ELK, etc.)
• Ensure security best practices (DevSecOps) across infrastructure and pipelines
• Troubleshoot production issues and drive root cause analysis independently
• Optimize systems for performance, scalability, and cost efficiency
• Automate manual processes and improve engineering productivity

What you’ll need to be successful (Requirements)

Must have skills:

• 5+ years of experience in DevOps / Platform Engineering
• 3+ years of strong hands-on experience with at least 2 cloud platforms (AWS, Azure, GCP)
• Proven experience with Terraform / Infrastructure as Code
• Deep expertise in Docker & Kubernetes
• Strong experience with CI/CD tools (GitHub Actions, Jenkins, GitLab CI)
• Solid understanding of networking, CDN, DNS, and load balancing
• Experience with monitoring & observability tools (Prometheus, Grafana, ELK, Datadog, etc.)
• Strong scripting skills (Python / Bash preferred)
• Strong understanding of security best practices (IAM, secrets, access control)
• Experience with Linux systems and production debugging

Nice to have skills:

• Relevant cloud certifications (AWS Certified Solutions Architect, Azure Administrator, Google Cloud Engineer, etc.)
• Certifications or exposure to Kubernetes (CKA/CKAD) or Terraform (HashiCorp Certified)
• Experience working in Agile environments (Scrum / Kanban)
• Experience with cost optimization practices and compliance standards (e.g., SOC 2)

Need another reason to hit the “apply” button?

• A global agency with over 200 employees, and offices in the US, UK, India and Canada. 
• A fun, diverse group of professionals that know how to have a good time on and off the job. We regularly host happy hours, dinners, excursions, and other company events to unwind after a hard day at work.  
• Offer Medical, Dental/Vision, and many more insurance types! 
• Paid Government Holidays
• An office in the heart of downtown Toronto.  
• Working hybrid for in-person collaboration and sprint-planning days

Compensation:
         $120,000-$140,000 CAD

We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.

The Team

Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, networking, load balancing (including our public-facing edge and internal service mesh), and observability and alerting systems.

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

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

Responsibilities

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

You may be a good fit if you

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

Strong candidates may also have experience with

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

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 426182

The Team

Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, deployment machinery, and observability and alerting systems.

The Fabric team manages the infrastructure that enables secure communication between systems and from the public internet. Their responsibilities encompass network architecture, service mesh, and edge load balancing, ensuring customer data remains safe in transit. The team plays a crucial role in developing and maintaining the reliable and globally connected multi-cloud network that supports MongoDB products.

This role can sit in our Toronto or Vancouver offices, or fully remote from anywhere in North America. When based in an office, we provide hybrid work accommodation.

Role Overview

We are seeking a talented Site Reliability Engineer (SRE) with a strong networking background to join the Fabric team. This role is pivotal in building and maintaining the robust infrastructure necessary for secure and efficient communication between our services. As an SRE on the Fabric team, you will leverage your expertise in networking, distributed systems, and automation to ensure our systems are resilient, scalable, and reliable.

The ideal candidate should

• Have 10+ years of experience working on software and operating distributed systems, with deep expertise in networking fundamentals and a good understanding of how the internet works, e.g. TCP/IP (including IPv6), DNS, TLS/mTLS, BGP, tunnels, overlays, and SDN principles
• Possess a customer-focused mindset, driving improvements that benefit end-users
• Value efficiency in processes and operations, and display a strong preference for automation over manual processes (“allergic to ops work”)
• Be intimately familiar with modern cloud-based infrastructure and the network design primitives of at least one of AWS, Azure, or GCP, e.g. VPCs, subnetting, routing, VPNs, peering, private link / private service connect, and CDNs
• Have a strong knowledge of service mesh and load-balancing concepts, and be eager to implement these in a multi-cloud environment

Expectations

• Participate in the development of a reliable and resilient multi-cloud globally-connected network that is crucial for MongoDB’s services
• Collaborate with service-owning teams to provide internal support, addressing technical issues and offering guidance on best practices for service-to-service connectivity
• Participate in a 24/7 on-call rotation to swiftly resolve issues related to network architecture and service-to-service connectivity, ensuring minimal disruption and high availability

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 426185

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

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

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

Responsibilities:

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

Qualifications:

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

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

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 426183

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

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

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

Responsibilities:

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

Qualifications:

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

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

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 2263171228

About the Cloud Payments team

Cloud Payments is part of the Cloud Billing organization. As MongoDB’s Cloud business grows, the billing and payments stack becomes increasingly mission‑critical. Our team:

• Ingests and aggregates detailed metering and usage data from internal services and major cloud providers (AWS, Azure, GCP)
• Calculates and generates daily customer bills for millions of customers worldwide
• Integrates with payment processors and internal financial systems to support Finance, Sales, Marketing, and Accounting
• Continuously improves customer-facing billing and payments experiences and the reliability and scalability of our backend systems

We’re a group of engineers who care deeply about code quality, correctness, and observability, and who are comfortable collaborating with both highly technical partners and non-technical stakeholders across the business.

The role

We’re looking for a Software Engineer 3 to help design, build, and operate the services that power Cloud Payments. You’ll work primarily in the JVM ecosystem (Java and related tooling), with a focus on large-scale, distributed systems that have to be correct, resilient, and auditable.

This is a Canada-based, fully remote role. You’ll collaborate closely with teammates and stakeholders across North America time zones, including engineers in the broader Cloud Billing organization.

What you’ll do

In this role, you will:

• Design, implement, and operate backend services that ingest, process, and reconcile large volumes of usage and billing data from internal and external systems
• Collaborate with product, Finance, Revenue, and other engineering teams to evolve our billing and payments capabilities and improve customer experience
• Own features end‑to‑end: requirements, design, implementation, testing, rollout, monitoring, and iterative improvement
• Help scale and harden our systems as Atlas and our broader Cloud business continue to grow rapidly
• Participate in architecture discussions, technical design reviews, and code reviews to keep our systems robust and maintainable
• Contribute to improving our tooling, observability, and development workflows so the whole team can move faster and safer
• Take part in an on‑call rotation that treats reliability as a team sport, not an individual burden

What we’re looking for

You may be a great fit if you:

• Have 3+ years of experience building and maintaining backend systems in a compiled language, ideally Java
• Understand core object‑oriented design principles and how to apply them to complex, evolving systems
• Have experience with distributed systems and services that need to be highly available, observable, and correct at scale
• Are comfortable working with databases (relational and/or non‑relational such as MongoDB) in production environments
• Communicate clearly and enjoy working with both technical and non‑technical stakeholders across multiple teams
• Are curious, collaborative, and motivated by solving real customer and business problems rather than just closing tickets

Nice to have (but not required):

• Experience with billing, payments, or other financial systems where correctness, auditability, and compliance really matter
• Experience with cloud platforms (AWS, GCP, Azure) and modern communication protocols like gRPC
• Familiarity with data-intensive applications, data pipelines, or data lakes
• Exposure to working with I/O frameworks like Reactor
• Experience with containerization and orchestration (e.g., Docker, Kubernetes)
• Prior exposure to MongoDB as a developer or operator

We don’t expect you to check every box. If you’re excited about the space and think you could do great work here, we’d love to hear from you.

Working model & location

• Location: Canada
• Working model: Fully remote, with colleagues primarily across North American time zones

How we’ll support you

MongoDB is committed to building a supportive, inclusive, and growth‑oriented environment for everyone on the team. Our approach to benefits and working models is designed to support your physical, emotional, financial, and family well‑being, and to give you flexibility in how you do your best work.

You’ll have opportunities to:

• Work on complex, meaningful projects that directly impact MongoDB’s Cloud business
• Learn from and collaborate with experienced engineers across Cloud Billing and other parts of MongoDB
• Grow your career through mentorship, feedback, and stretch projects aligned with your interests

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

REQ ID: 1273389937

The Team

Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, deployment machinery, and observability and alerting systems.

The Fabric team manages the infrastructure that enables secure communication between systems and from the public internet. Their responsibilities encompass network architecture, service mesh, and edge load balancing, ensuring customer data remains safe in transit. The team plays a crucial role in developing and maintaining the reliable and globally connected multi-cloud network that supports MongoDB products.

This role can sit in our NYC HQ, our smaller Austin, Palo Alto, or San Francisco offices, or fully remote from anywhere in North America. When based in an office, we provide hybrid work accommodation.

Role Overview

We are seeking a talented Site Reliability Engineer (SRE) with a strong networking background to join the Fabric team. This role is pivotal in building and maintaining the robust infrastructure necessary for secure and efficient communication between our services. As an SRE on the Fabric team, you will leverage your expertise in networking, distributed systems, and automation to ensure our systems are resilient, scalable, and reliable.

The ideal candidate should

• Have 10+ years of experience working on software and operating distributed systems, with deep expertise in networking fundamentals and a good understanding of how the internet works, e.g. TCP/IP (including IPv6), DNS, TLS/mTLS, BGP, tunnels, overlays, and SDN principles
• Possess a customer-focused mindset, driving improvements that benefit end-users
• Value efficiency in processes and operations, and display a strong preference for automation over manual processes (“allergic to ops work”)
• Be intimately familiar with modern cloud-based infrastructure and the network design primitives of at least one of AWS, Azure, or GCP, e.g. VPCs, subnetting, routing, VPNs, peering, private link / private service connect, and CDNs
• Have a strong knowledge of service mesh and load-balancing concepts, and be eager to implement these in a multi-cloud environment

Expectations

• Participate in the development of a reliable and resilient multi-cloud globally-connected network that is crucial for MongoDB’s services
• Collaborate with service-owning teams to provide internal support, addressing technical issues and offering guidance on best practices for service-to-service connectivity
• Participate in a 24/7 on-call rotation to swiftly resolve issues related to network architecture and service-to-service connectivity, ensuring minimal disruption and high availability

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 426185

MongoDB’s Storage Layer Services (SLS) team is re-architecting the MongoDB cloud storage layer and sits at the heart of our next-generation cloud storage architecture. This relatively new team is building performant, multi-tenant distributed storage services that both enhance today’s Atlas storage stack and enable more customer workloads to run more efficiently.

You will partner with the teams building these storage services to define SLOs, shape capacity plans, and ensure the reliability, durability, and operational safety of the storage layer that underpins Atlas. You’ll join a small, senior team of SREs as founding members of this organization, playing a crucial role in executing on a multi-year roadmap for MongoDB’s cloud storage architecture.

This role can be based out of our Toronto or Montreal office or remotely in the Canada while physically based in an Eastern or Central time zone location. 

The ideal candidate should

• Have 6+ years of experience working on software development and operating distributed systems
• Proficiency in Python, Go, or a similar language
• Have operated or supported stateful storage or database systems at scale, and are comfortable with durability, consistency, and recovery trade-offs.
• Possess a customer-focused mindset
• Value efficiency in processes and operations
• Prefer automation over manual processes. We are a small team of software engineers with a strong bias towards software solutions to avoid toil
• Experience using and extending containerization technologies, particularly Kubernetes, to enhance application agility, optimize resource utilization, and accelerate time-to-market
• Expertise in cloud infrastructure platforms, including AWS, Google Cloud Platform (GCP), or Azure
• Understanding of Linux operating system internals and networking concepts (e.g., TCP/IP, DNS, TLS, routing)

Responsibilities 

• Work on our multi-tenant distributed storage systems, balancing long-term strategic infrastructure goals with immediate engineering needs
• Build for reliability, making services and infrastructure available, resilient, fault-tolerant, and self-healing
• Identify and configure key metrics to detect incidents and quantify service health, availability, and performance
• Participate in a 24/7 on-call rotation to resolve issues involving the storage infrastructure
• Become an expert in infrastructure performance, helping us optimize from the application level all the way to the kernel

Strong candidates may also have experience with:

• Leading major architectural shifts, such as moving from legacy storage stacks to new multi-tenant storage architectures, including planning and executing large-scale data and workload migrations with tight availability and durability requirements
• Managing and scaling infrastructure across multi-cloud environments (AWS, GCP, or Azure)
• Designing secure, multi-tenant runtime environments at scale

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 1273396252

This role will require being full-time onsite at our Toronto office to support collaborative team dynamics and innovative problem-solving.

BitGo is looking for a Software Engineer to join our Trade team and help us build resilient, robust services and are responsible for working on critical projects with limited or no supervision.

Responsibilities:

• Design and build strong, resilient, and robust APIs, libraries, and services to power our financial services: clearing and settlement, digital asset lending, trading and liquidity
• Own functionality and scalability features by taking responsibility from inception to deployment and customer integration
• Expose and document functionality to the UI, third-party developers, and our internal and external tooling
• Collaborate closely with all engineering teams and product managers to ensure consistency in understanding of technical requirements and overall work quality
• Provide mentorship to your peers in the broader engineering team through code reviews and education on best practices

Skills & Experience: 

We are looking for teammates who share and practice our values: open communication, transparency, taking ownership, and a high level of craftsmanship. We are looking for coworkers who share our vision and mission: deliver trust in digital assets. 

Required:

• Experience with server-side languages like Golang, TypeScript/Node.JS, Java, Python, etc.
• Experience developing or supporting financial accounting systems, such as general ledger and bookkeeping functions
• Experience with SQL databases like MySQL or Postgres
• Confident with RESTful API design
• Great with unit and functional testing and debugging
• Experience in Git/GitHub and branching methodologies, code review tools, CI tools, etc.
• Bachelor’s degree in computer science, applied mathematics, or another technical discipline from a top university
• Understanding of and strong interest in cryptocurrencies and blockchain
• Great at algorithm design, problem solving, and complexity analysis
• Ability to work independently in a fast-paced environment

Preferred:

• At least 2 years of back-end, server-side software development
• Experience with microservices and service-oriented architectures
• Experience with large-scale, real-time, and distributed applications
• Familiarity with Containers and Kubernetes
• Understanding of and experience working in the financial industry
• Familiarity with any of the following: digital wallets, clearing and settlement, lending, trading, accounting systems, etc

Why Join BitGo?

Disrupting an industry takes vision, innovation, passion, technical chops, drive to deliver, collaboration, and execution. Join a team of great people who strive for excellence and personify our corporate values of ownership, craftsmanship, and open communication. We are looking for new colleagues who bring innovative ways of thinking and problem solving, and who want risks to be part of the team that changes the world’s financial markets.

Pay Transparency Notice: Depending upon your leveling and location, the compensation for this role averages between $165,000 - $200,000 CAD base salary. Equity and an annual performance bonus are also a part of this role's package. 

The Production Engineering organization at Pinterest is accountable for ensuring overall Pinterest availability as well as enhancing Engineering teams’ capability to design, build and operate robust systems at scale. We are hiring a Sr. SRE to join our Compute SRE team. This team is responsible for ensuring that all compute workloads run smoothly on Pinterest. We're building the future on kubernetes and our job is to connect it with what Pinterest needs.

Pinterest’s applications and infrastructure that handle billions of monthly page views and petabytes of data as Pinterest continues to grow and scale. As a Pinterest SRE, you will design and build systems, platforms, tools, frameworks and methodologies to assure the reliability of our large-scale distributed systems.

What You’ll Do:

• Tackle project challenges on EKS, such as implementing Karpenter. This work affects how every developer codes, tests, and improves their work
• Collaborate across various teams to drive projects forward using open-source tools
• Build a deep understanding of how Pinterest’s systems behave, scale, interact and fail, and use that insight to identity risks and opportunities for remediation
• Build tools and automation to eliminate toil and reduce operational overhead. Create frameworks, processes and best practices to be used across Pinterest Engineering
• Build meaningful, insightful and actionable SLIs
• Automate critical portions of Pinterest’s engineering processes, to minimize risk and maximize the speed of innovation
• Manage capacity and performance to help scale our infrastructure both on public and private clouds around the world
• Use AI for analysis of incidents, operational signals, and system behaviors to help identify patterns and generate plans and propose remediation approaches.
• Leverage AI to speed development of runbooks, automation workflows, reliability tooling by drafting, iterating, and refining approaches.

What We’re Looking For:

• Strong knowledge of Kubernetes (specially EKS), including deploy patterns, rollout safety, and core debugging workflows
• 4+ years of experience with programming languages (Python or Golang preferred)
• Strong experience managing projects and initiatives end-to-end
• Hands-on experience with AI-assisted development tools such as Cursor, GitHub Copilot or Claude for code generation, debugging, and documentation
• Demonstrated ability to write effective prompts to get high-quality, reliable outputs from LLMs
• Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs.
• Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)
• High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables
• Experience with technologies such as Terraform, Buildkite, and/or ArgoCD is required
• Bachelor’s or Master’s degree in a relevant field such as Computer Science, or equivalent experience

This job posting is for an open vacancy. Please note that the company utilizes artificial intelligence to screen applicants for the positions.

In-Office Requirement Statement
We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.

This role will need to be in the office for in-person collaboration 1-2 times per half and therefore can be situated anywhere in Ontario. 

#LI-CH1

Overview:

As a Senior Platform Engineer, you will sit at the intersection of infrastructure reliability and developer experience. You will not only maintain the scalability of our Kubernetes based cloud environment but also work collaboratively on the shift toward a self-service platform model. 

In this role, you will apply a software engineering mindset to infrastructure, leveraging Agentic AI to automate complex workflows and building the "Golden Paths" that eliminate manual bottlenecks. You aren't just managing clusters; you are architecting the software that manages them, ensuring our systems are resilient, cost-optimized, and inherently self-healing.

This position will be hybrid out of our Toronto office.

What You’ll Do: 

• IDP Architecture & Development: Lead the design and implementation of an Internal Developer Platform that abstracts infrastructure complexity, providing developers with self-service capabilities for environment scaffolding and deployment.
• Collaborative Infrastructure: Work with the team to maintain and scale multi-region Azure/AKS environments using Terraform and ArgoCD.
• Reliability Partnership: Collaborate with application engineers to implement deep observability via Datadog and establish meaningful reliability targets (SLOs).
• AI-Driven Automation: Build Python-based AI agents and tools that reduce team "toil" and streamline common operational tasks.
• Full-Lifecycle Ownership: Participate in on-call rotations and lead collective RootCause Analysis (RCA), turning every incident into a platform improvement or automated fix.
• Mentorship & Standards: Contribute to team code reviews, document best practices, and help establish standard patterns for deployment and security.

What You Have:

• Bachelor’s/Master’s degree in computer science, a related technical field, or equivalent practical experience.
• 5+ years of professional Software Development experience with a deep understanding of the full SDLC, system design, and clean code principles.
• 7+ years of experience in Platform Engineering with a focus on running large-scale production environments.
• Proficiency in Python or Go for automation, tool building, and AI agent integration.
• Experience managing Kubernetes (AKS) and Infrastructure as Code (Terraform/Terragrunt) in a team-based environment.

Nice to Have: 

• Proven track record of building or contributing to an Internal Developer Platform (IDP) (e.g., Backstage, internal CLI tools, or custom portals).
• Experience collaborating with application teams to define SLIs/SLOs and improve service reliability.
• Demonstrated ability to mentor junior engineers and lead team-wide technical initiatives.
• Experience implementing GitOps (ArgoCD) and Policy-as-Code (Kyverno) to standardize team workflows.
• Familiarity with building Agentic AI tools to automate repetitive operational tasks (toil).
• Expertise in Datadog for observability, dashboarding, and incident response.

About the team + role 

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.

At Robinhood, Developer Productivity is the backbone that enables every engineer to deliver exceptional software; faster, safer, and at scale. We design and build the systems, platforms, and experiences that make software development seamless and reliable across the company.

We believe infrastructure should be invisible when working perfectly, intuitive, resilient, and empowering. Our mission is to eliminate friction, enhance feedback loops, and drive developer productivity through operational excellence, intelligent automation, and world-class tooling.

We’re looking for a Senior Staff Software Developer to lead the evolution of our developer experience and AI-powered engineering ecosystem. In this role, you’ll operate as a technical leader and architect across the organization, shaping strategy, defining standards, and driving large-scale initiatives that improve developer velocity, system reliability, and engineering quality.

You’ll work at the intersection of developer tooling, platform infrastructure, and AI-assisted development, pioneering how Robinhood engineers build, test, deploy, and operate software.

This role is based in our Toronto office(s), with in-person attendance expected at least 3 days per week. 

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

What you’ll do

Technical Leadership & Architecture

• Architect and build scalable systems that enable fast, reliable delivery of full-stack applications, with a strong focus on enhancing the overall developer experience
• Set technical direction and standards for developer infrastructure across build systems, CI/CD, testing, and local development
• Lead design reviews, operational readiness, and post-incident analysis for critical developer platforms
• Leveraging AI to power the next generation development workflow

Developer Experience & Productivity

• Identify and eliminate friction across the software development lifecycle
• Build and evolve developer tooling including CLIs, configuration systems, and local/remote development environments
• Drive improvements in build systems, test automation, and deployment workflows
• Champion best practices in code quality, observability, and operational excellence

AI Tooling & Intelligent Automation

• Lead adoption of AI-assisted development tools (e.g., Copilot, Claude) across engineering teams
• Design and implement agentic workflows for development and operations (e.g., automated code generation, incident triage, root cause analysis)
• Evaluate and integrate AI agents for anomaly detection, alert correlation, and automated remediation
• Establish best practices for safe, secure, and effective use of AI in software development

Cloud, Infrastructure & Platform Systems

• Design and operate services on AWS with strong attention to scalability, cost efficiency, and security
• Lead Kubernetes-based platform improvements, including developer workflows for containerized environments
• Drive Infrastructure as Code (Terraform) strategy and adoption across environments
• Build and optimize CI/CD pipelines (e.g., Harness, Jenkins, CircleCI) with a focus on reliability and speed

Reliability & Operations

• Own non-functional requirements including availability, scalability, latency, and security
• Ensure systems are observable through metrics, logs, and alerting
• Lead incident response, postmortems, and continuous improvement efforts
• Reduce operational toil through automation and platform improvements

Cross-Functional Leadership

• Partner with Product, Platform, and SRE teams to align on long-term technical strategy
• Lead large-scale, cross-functional initiatives spanning multiple engineering teams
• Mentor senior engineers and raise the technical bar across the organization
• Contribute to a strong engineering culture centered on ownership, quality, and continuous improvement

What you bring 

• 10+ years of software engineering experience, including 3+ years operating at Staff or Senior Staff level
• Deep expertise in developer infrastructure (CI/CD, build systems, testing frameworks, dev environments, observability)
• Strong backend engineering skills with proficiency in Go, Python, or TypeScript/JavaScript
• Proven track record of leading complex, cross-functional platform initiatives at scale
• Exceptional system design skills, with a focus on reliability, scalability, and performance

Infrastructure & Platform Experience

• Experience with cloud-native technologies (Kubernetes, Docker, service discovery, distributed systems)
• Strong understanding of CI/CD systems (e.g., CircleCI, Jenkins, Harness) and release orchestration
• Experience building internal developer platforms, CLIs (preferably in Go), and productivity tooling
• Familiarity with Infrastructure as Code (Terraform) and cloud platforms like GCP

AI & Emerging Tooling

• Experience leveraging AI-assisted development tools in production environments
• Interest or experience in applying AI to developer productivity, incident management, or automation
• Ability to evaluate and safely integrate AI systems into engineering workflows

Leadership & Influence

• Strong technical leadership with the ability to influence across teams and organizational boundaries
• Excellent communication skills, with experience driving alignment across engineering and product stakeholders
• Passion for developer experience and enabling other engineers to do their best work

What we offer

• Challenging, high-impact work to grow your career
• Performance driven compensation with multipliers for outsized impact, bonus programs, and equity ownership
• Top tier benefits to fuel your work, including supplemental health insurance, ancillary insurance, and mental health support programs
• Lifestyle wallet - a highly flexible employer-paid benefits spending account expenses beyond traditional benefits such as wellness, childcare, learning, and more.
• Time off to recharge including company holidays, paid time off, sick time, paid volunteer time off, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces. 
• Monthly commuter stipend to help offset in-office commuting costs

Our team is committed to providing an inclusive and welcoming interview experience for all candidates. If you require a specific accommodation during the application or interview process due to a physical or mental condition, please complete this Applicant Accommodation Form to notify our team. The form should only be completed if you need a specific accommodation.

AI Usage Disclosure: Robinhood uses artificial intelligence (AI) tools to support parts of our recruiting process. These tools enhance the efficiency and consistency of our hiring process; however, all hiring decisions are made by our hiring teams.

Vacancy Notice: This job posting represents an existing vacancy that we are actively seeking to fill.

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About the CMS Registry Solution

The CMS Registry Solution powers end-to-end collateral and lien management for banks, automotive finance companies, credit unions and other lenders. The platform automates the full lien lifecycle—registration, amendment, search, monitoring and discharge—to protecting lenders, reduce risk and ensure compliance, and provides value-added features such as lien validation, asset monitoring and fraud detection.

We’re actively modernizing the platform that is mission-critical used by major financial institutions with a focus on scalability, automation, and developer experience. Current work includes containerizing services, upgrading .NET runtimes, strengthening CI/CD and observability, and adopting Infrastructure as Code—alongside pragmatic AI-assisted development and intelligent QA.

You’ll join a small, critical and high-impact team (engineers, product owner, engineering manager) focused on solving real customer problems with durable systems. You’ll be expected to own a major slice of the platform, lead technical execution for key initiatives, and raise the quality bar through strong engineering judgment.

What You’ll Do: 

Build & Evolve Critical Systems 

• Design and implement scalable, resilient backend and frontend services using .NET (Core / 6+ / 8), Angular, and RESTful APIs
• Lead registry modernization initiatives, including containerization of legacy .NET workloads, runtime upgrades, and improvements to deployment and operational reliability
• Contribute to data-layer improvements, focusing on performance, scalability, and operational reliability

Own Architecture & Technical Decisions 

• Drive technical design discussions and make pragmatic architectural decisions within the team
• Integrate observability, security, and performance best practices into system design
• Balance technical excellence with delivery needs when evolving existing systems

Build With an Ownership Mindset 

• Own solutions end-to-end, from design through deployment and production operation
• Establish and improve CI/CD pipelines using GitHub Actions and contribute to standardized engineering practices
• Take accountability for reliability, operational outcomes, and continuous improvement of owned systems

Collaborate & Lead 

• Collaborate closely with Product, Platform, and other engineering teams to deliver production-ready capabilities
• Mentor and support other engineers through code reviews, design discussions, and day-to-day technical leadership
• Act as a role model for strong ownership, technical quality, and constructive collaboration

What We’re Looking For:

Must Have

• Strong hands-on experience building production systems with .NET and C# (modern .NET preferred)
• Experience working with AWS services such as EC2, S3, CloudWatch, and IAM
• Proficiency in Angular, TypeScript, and RESTful API design
• Solid understanding of SQL Server and relational data modeling (managed database experience a plus)
• Comfort operating in production environments and learning from real-world feedback
• Demonstrated experience leveraging AI-assisted development and testing tools to improve productivity, code quality, and operational efficiency
• Clear communication skills and a collaborative, ownership-driven approach
• A builder’s mindset: If you can think it, you can build it. If you build it, you own it.

Nice-To-Have

• Experience with Docker, Terraform / CloudFormation, or Kubernetes-based platforms
• Background in system modernization, refactoring, or legacy platform evolution
• Experience with database performance optimization
• Exposure to AI-driven QA (e.g., Playwright, Cypress with AI integrations)

What’s In It For You?

We understand that there is life at work and life outside of work. Here are a few benefits we all benefit from that support us to be our creative best. 

 Benefits from Day 1 

• Gym discounts
• Employee and Family Assistance program
• Virtual wellness events
• Conferences & training budget
• Regular internal training programs 

Financial planning 

• Let us help you invest in your future with 3% matching towards your pension and multiple forms of income protection. 

 Competitive salary 

• Annual bonus structure
• 3% CPP matching 

---

The base salary range for this position is CAD $140,000 – CAD $190,000.

This range reflects the expected compensation at the time of posting. The final offer may vary and can be higher based on relevant skills, experience, location, and market conditions. Based on the role the total rewards package may also include benefits, bonus, and other employee offerings.

Use of Artificial Intelligence in Hiring: We use artificial intelligence (“AI”) in our hiring process, including to screen, assess, or select applicants for this position.
Vacancy Status: This job posting is for an existing vacancy.

At the HelloFresh Group, we want to change the way people eat forever by offering our customers high-quality food and recipes for different meal occasions. Even after celebrating our 10th anniversary, we continue to see this mission spread around the world and beyond our wildest dreams. We are now a global food solutions group and the world's leading meal kit company, active in 18 countries across 3 continents. So, how did we do it? Our weekly boxes full of exciting recipes and fresh ingredients have blossomed into a community of customers looking for delicious, healthy and sustainable options. The HelloFresh Group includes our core brand, HelloFresh, as well as other brands such as Green Chef, EveryPlate, Chefs Plate, Factor_, YouFoodz, The Pets Table, and GoodChop.

S'more about the team

The Loyalty & Virality tribe is at the heart of HelloFresh's customer retention and organic growth strategy. We build the products and systems that keep customers engaged, rewarded, and excited to share HelloFresh with others. Our teams own loyalty and rewards programs, referral systems, viral growth mechanics, and personalized re-engagement experiences — all operating at a global scale across multiple brands and markets. We combine deep product thinking with data-driven experimentation and increasingly leverage AI to deliver smarter, more personalized customer experiences. If you're passionate about building systems that turn happy customers into loyal advocates, this is the team for you.

You can get a taste of what we've been working on by checking out our tech blog.

Lettuce share what this role will be responsible for

• Design, develop, and maintain scalable and reliable back-end services, focusing on distributed architecture and microservices.
• Conduct code reviews, promoting best practices in software development, testing, and deployment.
• Analyze system performance, identify bottlenecks, and implement optimizations to ensure optimal efficiency and reliability of pricing services.
• Stay up-to-date with industry trends and emerging technologies, applying relevant advancements to improve the team’s technology stack and processes.
• Contribute to architectural discussions and decisions, providing technical guidance and insights to shape the overall direction of solution design.
  
  

Sound a-peeling? Here's what we're looking for

• Experience: Experience in software engineering, with a strong focus on back-end development and system architecture.
• Technical Skills: Proficiency in back-end technologies and programming languages (e.g., Go, Java) and a deep understanding of distributed systems and microservices architecture.
• Cloud Proficiency: Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and container orchestration tools (e.g., Docker, Kubernetes) for deploying and managing services at scale.
• Agile Methodologies: Solid experience in Agile development practices, with an ability to adapt to changing priorities and deliver high-quality results on time.
• Mentorship Skills: Strong mentorship abilities, with a passion for guiding and developing engineers while fostering a collaborative team culture.
• Analytical Mindset: Excellent analytical and troubleshooting skills, with a proactive approach to identifying and resolving technical challenges.
• Communication Skills: Effective verbal and written communication skills, capable of articulating complex technical concepts to diverse audiences and collaborating effectively with cross-functional teams.

Let’s cut to the cheese, this is why you'll love it here

• Box Discount - Amazing discounts on 1 box per week! 75% discount on weekly HelloFresh and Chefs Plate meal kits AND 50% off weekly Factor meal box.
• Health & Wellness - Health & Dental benefits from day 1, a Health Spending Account, unlimited access to the Headspace app to meet your self-care needs, and 25% discount on GoodLife fitness memberships!
• Vacation & PTO - Time off is also an important part of self-care! We offer generous vacation and PTO to help you create a good work-life balance. 
• Family Benefits - A parental leave top-up program for expectant parents.
• Growth & Development - We support your career progression and invest in your continued learning through experiences and initiatives owned by our dedicated L&D team
• Work Hard & Have Fun - From team socials to engaging company days, you’ll have plenty of opportunity to experience the fun!
• Diversity & Inclusion Initiatives - With impactful ERG’s like FreshPride, Women Empowered and LIMES, we are committed to our diversity, equity & inclusion efforts.
• Food Puns - this one is kind of a big dill if you haven’t already noticed. We even have some punny meeting room names!
  
  

Flexible Hybrid Approach

At HelloFresh, we know that flexible work arrangements are essential in enabling you to do your best work, while balancing your personal and life needs. Offering remote work flexibility, along with the opportunity to interact and collaborate in the office are all a part of creating a great employee experience. 

To meet these needs, we are pleased to provide Flexible Hybrid work. Flexible Hybrid is a people-first approach that is based on choice, trust, personalization, and empowers teams to choose when and how often they work from the office and work from home, in addition to team days and company days. This means a minimum of 2 days in office per week, with most teams in office between 2-3 days a week.

#LI-HYBRID

HelloFresh Canada uses AI-integrated technology to help us process and evaluate applications more efficiently. This includes tools that screen and assess candidate qualifications based on the requirements for this role. While these tools assist our workflow, all final selection decisions are made by our hiring team.

This is a posting for an existing vacancy. We are actively seeking to fill this position.

S'more about the team

The Loyalty & Virality tribe is at the heart of HelloFresh's customer retention and organic growth strategy. We build the products and systems that keep customers engaged, rewarded, and excited to share HelloFresh with others. Our teams own loyalty and rewards programs, referral systems, viral growth mechanics, and personalized re-engagement experiences — all operating at a global scale across multiple brands and markets. We combine deep product thinking with data-driven experimentation and increasingly leverage AI to deliver smarter, more personalized customer experiences. If you're passionate about building systems that turn happy customers into loyal advocates, this is the team for you.

You can get a taste of what we've been working on by checking out our tech blog.

Lettuce share what this role will be responsible for

• You will be a senior technical authority within the Loyalty & Virality tribe — setting architectural direction, driving technical excellence, and mentoring engineers across the team. This is a high-impact individual contributor role with significant influence over how we scale our referral and virality systems globally
• Define and drive the technical strategy for our referral and virality platform, ensuring systems are flexible, resilient, and scalable across all HelloFresh brands and markets
• Take end-to-end ownership of the architecture, design, development, deployment, and operations of the Share squad’s microservices
• Champion the adoption of AI in the squads and machine learning across the tribe, identifying opportunities for personalization, predictive engagement, and intelligent reward optimization.
• Be an active, solution-oriented member of an autonomous, cross-functional agile team, collaborating closely with Product Owners, Engineers, Designers, and BI teams in your direct team and across the organization
• Communicate effectively across the engineering organisation and facilitate technical alignment among stakeholders and colleagues with different interests.
• All other duties, as assigned
  
  
  

Sound a-peeling? Here's what we're looking for

• Strong experience with microservice architecture, event-driven systems (ie: Kafka, RabbitMQ), and distributed architectural patterns.
• Hands-on experience with Docker and container orchestration technologies such as Kubernetes, as well as CI/CD practices.
• Proficiency with relational and document databases, including PostgreSQL, MySQL, and/or MongoDB.
• AI proficiency and advocacy. Hands-on familiarity with AI technologies and a track record of championing their adoption, whether through AI-assisted development workflows, ML-driven product features, or leveraging LLMs to accelerate team productivity.
• Proficiency or hands-on production experience in Golang or Python
• Excellent communication skills. Interacting with frontend developers, designers, product managers, and global teams is part of the day-to-day. You can influence without authority and bring clarity to complex technical topics.
  
  
  

Let’s cut to the cheese, this is why you'll love it here

• Box Discount - Amazing discounts on 1 box per week! 75% discount on weekly HelloFresh and Chefs Plate meal kits AND 50% off weekly Factor meal box.
• Health & Wellness - Health & Dental benefits from day 1, a Health Spending Account, unlimited access to the Headspace app to meet your self-care needs, and 25% discount on GoodLife fitness memberships!
• Vacation & PTO - Time off is also an important part of self-care! We offer generous vacation and PTO to help you create a good work-life balance. 
• Family Benefits - A parental leave top-up program for expectant parents.
• Growth & Development - We support your career progression and invest in your continued learning through experiences and initiatives owned by our dedicated L&D team
• Work Hard & Have Fun - From team socials to engaging company days, you’ll have plenty of opportunity to experience the fun!
• Diversity & Inclusion Initiatives - With impactful ERG’s like FreshPride, Women Empowered and LIMES, we are committed to our diversity, equity & inclusion efforts.
• Food Puns - this one is kind of a big dill if you haven’t already noticed. We even have some punny meeting room names!
  
  

Flexible Hybrid Approach

At HelloFresh, we know that flexible work arrangements are essential in enabling you to do your best work, while balancing your personal and life needs. Offering remote work flexibility, along with the opportunity to interact and collaborate in the office are all a part of creating a great employee experience. 

To meet these needs, we are pleased to provide Flexible Hybrid work. Flexible Hybrid is a people-first approach that is based on choice, trust, personalization, and empowers teams to choose when and how often they work from the office and work from home, in addition to team days and company days. This means a minimum of 2 days in office per week, with most teams in office between 2-3 days a week.

#LI-HYBRID

HelloFresh Canada uses AI-integrated technology to help us process and evaluate applications more efficiently. This includes tools that screen and assess candidate qualifications based on the requirements for this role. While these tools assist our workflow, all final selection decisions are made by our hiring team.

This is a posting for an existing vacancy. We are actively seeking to fill this position.

S'more about the team

Our New Ventures team is focused on growing our global footprint by launching our core products in new markets and expanding across multiple brands and verticals. We’re a globally distributed team operating across 7+ brands in 15+ countries, building desirable products and seamless, engaging experiences that customers haven’t seen before. With many exciting projects underway, we’re driven to generate the next billion-dollar business—so if you’re passionate about tackling bold challenges, join us!

We are a close-knit group of engineers of different stripes - developers, designers, and product owners - who are working together to solve interesting e-commerce and supply chain problems around how people eat. Sometimes, this involves implementing features to improve the user
journey and making it easier for our customers to buy amazing food. Other times, this means creating stable software solutions that keep our distribution centers running.

We are looking for an engineer to help implement solutions & write beautiful code, working with various team members as we build out our consumer facing applications & the infrastructure that supports them. As a member of our Toronto team, you’ll work with highly-skilled engineers, who in collaboration with our other global teams, have turned HelloFresh into the #1 meal delivery service in the world!

Lettuce share what this role will be responsible for

• Design, develop, and maintain scalable and reliable back-end services, focusing on distributed architecture and microservices.
• Lead the migration of critical services from a monolithic architecture to a microservices framework, ensuring seamless integration and high availability.
• Conduct code reviews and provide mentorship to junior engineers, promoting best practices in software development, testing, and deployment.
• Analyze system performance, identify bottlenecks, and implement optimizations to ensure optimal efficiency and reliability of services.
• Stay up-to-date with industry trends and emerging technologies, applying relevant advancements to improve the team’s technology stack and processes.
• Contribute to architectural discussions and decisions, providing technical guidance and insights to shape the overall direction of solution design.
  
  

Sound a-peeling? Here's what we're looking for

• Experience: Experience in software engineering, with a strong focus on back-end development and system architecture.
• Technical Skills: Proficiency in back-end technologies and programming languages (e.g., Go, Java) and a deep understanding of distributed systems and microservices architecture.
• Migration Expertise: Hands-on experience in migrating applications from monolithic architectures to microservices, demonstrating problem-solving capabilities and technical leadership.
• Cloud Proficiency: Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and container orchestration tools (e.g., Docker, Kubernetes) for deploying and managing services at scale.
• Agile Methodologies: Solid experience in Agile development practices, with an ability to adapt to changing priorities and deliver high-quality results on time.
• Mentorship Skills: Strong mentorship abilities, with a passion for guiding and developing junior/senior engineers while fostering a collaborative team culture.
• Analytical Mindset: Excellent analytical and troubleshooting skills, with a proactive approach to identifying and resolving technical challenges.
• Communication Skills: Effective verbal and written communication skills, capable of articulating complex technical concepts to diverse audiences and collaborating effectively with cross-functional teams.
• Solid hands-on experience working with AI coding agents (e.g., Claude Code, Cursor, Copilot) beyond casual experimentation. You use AI agents as thought partners to onboard on unfamiliar codebases and navigate new areas of the code with confidence. You have a practical sense of how the context you provide to AI tools - specifications, constraints, examples - shapes output quality, and a developing awareness of how agentic outputs can fail, with growing habits around verifying, testing, and setting boundaries on AI-generated work.

Let’s cut to the cheese, this is why you'll love it here

• Box Discount - Amazing discounts on 1 box per week! 75% discount on weekly HelloFresh and Chefs Plate meal kits AND 50% off weekly Factor meal box.
• Health & Wellness - Health & Dental benefits from day 1, a Health Spending Account, unlimited access to the Headspace app to meet your self-care needs, and 25% discount on GoodLife fitness memberships!
• Vacation & PTO - Time off is also an important part of self-care! We offer generous vacation and PTO to help you create a good work-life balance. 
• Family Benefits - A parental leave top-up program for expectant parents.
• Growth & Development - We support your career progression and invest in your continued learning through experiences and initiatives owned by our dedicated L&D team
• Work Hard & Have Fun - From team socials to engaging company days, you’ll have plenty of opportunity to experience the fun!
• Diversity & Inclusion Initiatives - With impactful ERG’s like FreshPride, Women Empowered and LIMES, we are committed to our diversity, equity & inclusion efforts.
• Food Puns - this one is kind of a big dill if you haven’t already noticed. We even have some punny meeting room names!

Flexible Hybrid Approach

At HelloFresh, we know that flexible work arrangements are essential in enabling you to do your best work, while balancing your personal and life needs. Offering remote work flexibility, along with the opportunity to interact and collaborate in the office are all a part of creating a great employee experience. 

To meet these needs, we are pleased to provide Flexible Hybrid work. Flexible Hybrid is a people-first approach that is based on choice, trust, personalization, and empowers teams to choose when and how often they work from the office and work from home, in addition to team days and company days. This means a minimum of 2 days in office per week, with most teams in office between 2-3 days a week.

#LI-HYBRID

About GlossGenius

GlossGenius is building an ecosystem enabling entrepreneurs to succeed. We empower small business owners to focus on being creators, not admins, by offering a range of business management tools including booking and scheduling, marketing, analytics, payment processing and much more.

Over 100,000 small business owners have chosen to rely on GlossGenius every day to run their entire set of business operations. Joining its powerful, intuitive platform with its vibrant, distinguished brand, GlossGenius is the ideal combination of a fintech, SMB software, and consumer company all in one.

About the Role

GlossGenius has grown significantly, supporting tens of thousands of customers and seeing billions of transaction volumes on our platforms. As our customers continue to grow their businesses, we want to enable them to be more successful. For that, we’re building AI features that will transform how our customers operate and grow their businesses

That’s why we are seeking strong Software Engineers, All levels to join one of our Product or Platform-based teams. Product-focused engineers work at the intersection of business needs and technical solutions, solving key customer problems. Platform-focused engineers build scalable, reliable, and extensible systems that empower product teams to move faster, deliver with quality, and focus on customer value.

This role is Hybrid in our NYC headquarters (Tuesdays & Thursdays in-office).

This role is remote from the San Francisco Bay Area

This role is remote from the Greater Toronto Area

What We Work With

We are open to hearing from candidates who know different programming languages and are excited to learn more and grow their skills. Our current stack:

• Kotlin (micronaut, jooq), Ruby (Rails, Sidekiq), gRPC, protobuf
• Typescript / Javascript (React, Redux)
• React Native
• AWS, Kubernetes, Postgres and Terraform

What You’ll Do

As a Software Engineer at GlossGenius, you'll play a critical role in shaping a platform that powers over 100,000 small businesses and processes more than $3 billion in payments annually. Engineers work on high-impact initiatives that support our rapid growth and evolving scale. Examples of your potential responsibilities include:

• Develop, release, and run large-scale web applications that empower beauty and wellness businesses to operate and grow.
• Build new AI features for our customers.
• Develop and define our microservice-based infrastructure.
• Build tools and solutions that enable internal teams to work faster, more effectively, with more confidence, and improve the value they can provide our users (Business Scalability team).
• Work on core experiences such as making payments friction-free for clients and customers, building tools to help customers earn more per hour, or enabling businesses to effortlessly grow and manage their teams.
• Focus on front-end development, crafting intuitive and engaging user experiences for our web and mobile applications.
• Improve performance, reliability, scalability, and security for our backend systems.

What We’re Looking For

• 2+ years of professional experience in software development.
• A Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
• A strong desire to move fast and have a significant impact.
• Hands-on experience building with AI/ML APIs or LLMs, you've shipped something real using AI, whether in a production environment or a meaningful side project. You think critically about where AI adds genuine value and how to integrate it responsibly into a product.
• An entrepreneurial mindset, eager to take ownership and contribute new ideas to solve challenging problems.
• Ability to analyze and improve efficiency, scalability, and stability of various system resources.
• Demonstrates strong collaboration skills and team spirit.

Benefits & Perks 

• Flexible PTO
• Competitive health & dental insurance options, with premiums partially or fully covered by GG
• In-person opportunities that are designed to help team members foster collaboration and build community (ie; working out of a co-working space, team dinners, and other team building activities)
• Fertility and adoption benefits via Carrot
• Generous, fully-paid parental leave policy
• 401k benefit - employees are eligible to contribute starting day 1 of employment
• Professional Development - employees receive a yearly stipend for approved learning and educational-related expenses
• Pre-tax commuter benefits
• Dependent Care FSA
• Home office support

The Tenant Protection Team 

Auth0 is an easy-to-implement authentication and authorization platform designed by developers for developers. We ensure access to applications is safe, secure, and seamless for the more than 100 million daily logins worldwide. Our modern approach to identity enables this Tier-0 global service to deliver convenience, privacy, and security, allowing customers to focus on innovation.

The Tenant Protection team is responsible for building and maintaining Auth0’s Attack Protection capabilities. The team serves as the first line of defence for our customers. Our mission is to protect all customer tenants from widespread, automated attacks before they reach a login box. We build and maintain the critical services that mitigate threats like credential stuffing, denial-of-service, and fraudulent signups at the edge

The team works closely with our Machine Learning and AI teams to develop and deploy cutting-edge detection models. This collaboration allows application builders to provide a secure login experience for their users while isolating them from the complexities and ever-evolving tactics of these attacks.

The Senior Software Engineer Opportunity

We are looking for a Senior Software Engineer to join our Tenant Protection team. 

What you’ll be doing 

• Be a part of a fast-paced, agile team.
• Design and build features using technologies such as Node.js (JavaScript/Typescript), AWS, Azure, MongoDB, PostgreSQL, DynamoDB and Kubernetes
• Lead the technical breakdown of complex requirements into clear, modular, and actionable engineering tasks, setting the standard for project clarity and velocity.
• Drive and own the engineering estimation process for medium to large -sized initiatives, effectively managing risk and communicating technical trade-offs, timelines, and dependencies to engineering and product leadership.
• Act as a key technical collaborator and influencer with internal stakeholders (e.g., Product Management, Security, Infrastructure), proactively aligning technical roadmaps and advocating for architectural changes that support long-term product vision.
• Collaborate with industry-leading experts to implement the cutting-edge of Identity Protocols and Open Standards such as OpenID Connect, OAuth and SAML 
• Maintain and operate services at a large scale
• Participate in scheduled on-call rotations
• Mentor junior and mid-level engineers, providing guidance on system design, code quality, testing practices, and career development. Foster a culture of technical excellence and collaborative ownership.

What you’ll bring to the role

• Practical experience using Node.js (JavaScript or Typescript) or a similar language
• Experience working on systems that are highly reliable, maintainable and scalable.
• Thorough understanding of application security and cloud security best practices
• A systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive
• A track record of influencing engineering strategy and driving complex, multi-quarter projects to completion across organisational boundaries.
• Demonstrated ability to coach and grow other engineers in areas of system architecture, security, and operational rigour.
• Experience with cloud environments (AWS and Azure preferred)
• The ability to communicate your ideas and collaborate with other team members effectively in a remote working environment.
• Experience designing, analysing, and troubleshooting large-scale distributed systems
• Enthusiasm to work with and learn more about Identity Protocols such as OAuth, OIDC and SAML

And extra credit if you have experience in any of the following! 

• Existing knowledge of Identity Protocols such as OAuth, OIDC and SAML
• Existing knowledge of security engineering and application security
• Proven experience and understanding of architecture principles across infrastructure platforms, security, data, integration, and application layers

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P-2528.1_3406888

The End User Protection Team 

Auth0 is an easy-to-implement authentication and authorization platform designed by developers for developers. We ensure access to applications is safe, secure, and seamless for the more than 100 million daily logins worldwide. Our modern approach to identity enables this Tier-0 global service to deliver convenience, privacy, and security, allowing customers to focus on innovation.

The End User Protection team is responsible for building and maintaining Auth0’s Attack Protection capabilities. Cyberattacks, such as credential stuffing and password spraying, often target end users to gain unauthorised access to applications. These attacks pose a significant threat, compromising user accounts and data. The Attack Protection features mitigate these risks by continuously monitoring user login behaviour and automatically detecting and blocking malicious activity. They protect users without adding unnecessary friction.
The team works closely with our Machine Learning and AI teams to develop and deploy cutting-edge detection models. This collaboration allows application builders to provide a secure login experience for their users while isolating them from the complexities and ever-evolving tactics of these attacks.

The Staff Software Engineer Opportunity

We are looking for a Staff Software Engineer to join our End User Protection team. 

What you’ll be doing 

• Be a part of a fast-paced, agile team.
• Design and build features using technologies such as Node.js (JavaScript/Typescript), AWS, Azure, MongoDB, PostgreSQL, DynamoDB and Kubernetes
• Lead the technical breakdown of highly complex, ambiguous requirements into clear, modular, and actionable engineering tasks, setting the standard for project clarity and velocity.
• Drive and own the engineering estimation process for large-scale initiatives, effectively managing risk and communicating technical trade-offs, timelines, and dependencies to engineering and product leadership.
• Drive cross-functional technical projects with other Auth0 and Okta engineering teams, ensuring alignment on service dependencies, security standards, and operational best practices.
• Act as a key technical collaborator and influencer with internal stakeholders (e.g., Product Management, Security, Infrastructure), proactively aligning technical roadmaps and advocating for architectural changes that support long-term product vision.
• Collaborate with industry-leading experts to implement the cutting-edge of Identity Protocols and Open Standards such as OpenID Connect, OAuth and SAML 
• Maintain and operate services at a high scale
• Participate in scheduled on-call rotations 

• Mentor senior and mid-level engineers, providing guidance on system design, code quality, testing practices, and career development. Foster a culture of technical excellence and collaborative ownership.

What you’ll bring to the role

• Practical experience using Node.js (JavaScript or Typescript) or a similar language
• Experience working on systems that are highly reliable, maintainable and scalable.
• Thorough understanding of application security and cloud security best practices
• A systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive
• A track record of influencing engineering strategy and driving complex, multi-quarter projects to completion across organisational boundaries.
• Demonstrated ability to coach and grow other engineers in areas of system architecture, security, and operational rigour.
• Experience with cloud environments (AWS and Azure preferred)
• The ability to communicate your ideas and collaborate with other team members effectively in a remote working environment.
• Experience designing, analysing, and troubleshooting large-scale distributed systems
• Enthusiasm to work with and learn more about Identity Protocols such as OAuth, OIDC and SAML

And extra credit if you have experience in any of the following! 

• Existing knowledge of Identity Protocols such as OAuth, OIDC and SAML
• Existing knowledge of security engineering and application security
• Proven experience and understanding of architecture principles across infrastructure platforms, security, data, integration, and application layers

#LI-HYBRID

#LI-SH1
P-1030_3414639

Secure Every Identity, from AI to Human

Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

Auth0 provides an unparalleled authentication experience for hundreds of millions of users worldwide. Our commitment to reliability is a key foundation of our product and our dedication to exceeding customer availability expectations is a core engineering focus. As a Senior Site Reliability Engineer, you'll join our SRE team based in Europe to ensure our production systems are not only operational but also resilient, scalable, and ready for exponential growth. This isn't just about keeping the lights on; it's about directly contributing to the platform's core resiliency and robustness. You'll be a hands-on builder, crafting solutions that make our system more reliable by design.

What you’ll do:

• Design and build custom software in Go to enhance the platform's reliability, resiliency, and redundancy.
• Partner with engineering teams to embed reliability principles, improving the availability, performance, and observability of our services.
• Use your deep understanding of infrastructure and observability principles to identify opportunities for improvement within the product and implement solutions.
• Contribute to our on-call rotation, providing rapid, effective response to critical incidents and using your expertise to troubleshoot, mitigate or accurately escalate production issues.
• Develop and refine our SRE tooling and processes, focusing on automation and operational efficiency.
• Define, document, and champion reliability best practices across the organisation.

What you'll need to be successful:

This role requires a unique blend of a software engineer's mindset and operational expertise. You'll thrive in this role if you have:

• A proactive and systematic approach to problem-solving, with a high degree of ownership.
• Proven experience in a production environment supporting large-scale, mission-critical applications with a high degree of autonomy.
• Proficiency in at least one programming language, with a preference for Go. You should be comfortable writing custom applications, not just scripts.
• Experience with infrastructure as code (Terraform), container orchestration (Kubernetes, Docker) and GitOps (ArgoCD).
• Demonstrable expertise in a major cloud provider (Azure, AWS, or GCP).
• A strong grasp of microservices architecture, databases (SQL, NoSQL), and networking fundamentals, so you can understand how custom code can solve platform-level issues.
• An understanding of core SRE principles, including SLIs, SLOs, and error budgets.
• Experience in an on-call rotation for a 24/7 cloud-based environment.
• Exceptional communication and collaboration skills, with a proven ability to work effectively in a remote, distributed team, where tasks may be self-driven.

We're looking for someone who is not just looking for a job, but a career-defining opportunity to tackle complex challenges at a massive scale. If you're a curious and motivated engineer who's passionate about building reliability directly into the platform, we'd love to hear from you.

P-1398_3407428

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#LI-EZ1

The Auth0 platform secures more than 100 million logins each day for customers all around the world - and we're growing fast! The Platform Runtime team enables Auth0 engineers to move faster by giving them the foundational infrastructure to deploy and manage their services on AWS and Azure. This is a role with a huge impact. You will get to work with engineers throughout the organization and what you build will be a foundational piece of the infrastructure that allows Auth0 to scale for years to come.

We are looking for a Senior Engineer who is passionate about distributed systems, availability, and delivering customer value. Because we build and support the overall Auth0 platform, the ideal candidate is someone who is passionate about low level infrastructure, operations, and not intimidated by cross-organization coordination and collaboration.

You will:

• Serve as the ultimate technical authority and final escalation point for advanced Kubernetes cluster troubleshooting, ensuring the continuous stability and resilience of our foundational infrastructure.
• Define and enforce organization-wide standards and architectural guidelines for Terraform. You will maintain core provider functionality and oversee critical security protocols, including automated credential rotation machinery.
• Develop and maintain application deployment standards, managing Kustomize and built-ins to standardize and streamline deployments across all product teams.
• Orchestrate complex GitOps workflows leveraging ArgoCD and Argo Workflows. You will take full ownership of Environment Lifecycle Management, handling everything from environment creation, synchronization, and user onboarding to failover procedures and safe deletion.
• Architect the Testing Automation Framework to support dynamic environment provisioning and destruction. This will enable advanced quality assurance practices, such as chaos testing, while empowering teams to manage their own test workflows.
• Oversee the Control Plane infrastructure, guaranteeing operational stability and managing essential platform services, including HashiCorp Vault and our fleet of self-hosted GitHub Action Runners.
• Lead the intra-space network architecture, driving the implementation, management, and scaling of our Service Mesh to ensure secure and efficient service-to-service communication.
• Participate in the team's on-call rotation.

You might be a good fit if you:

• Have 5+ years of software development experience, specifically working with infrastructure or platform.
• Are proficient in Golang.
• Have a deep understanding of Kubernetes and containerization.
• Have DevOps experience using cloud-agnostic, cloud-native technologies.
• Demonstrable knowledge of TCP/IP and HTTP fundamentals.
• Have demonstrable expertise managing cloud resources (AWS/Azure) via code, specifically for automated provisioning.
• Have experience managing infrastructure with Terraform at scale.
• Bring a Tier-1 Service mindset: you write code that handles edge cases, network partitions, and partial failures gracefully.
• Tend to deliver work incrementally to get feedback and iterate over solutions.
• Have a passion for working on systems that are highly reliable, maintainable, scalable and secure.
• Bring the right attitude to the team: ownership, accountability, and attention to detail.
• Are comfortable working on a fully-distributed team.
• Have a relentless passion for ownership, accountability, and diving into complexity to deliver highly reliable and performant systems.

Extra Points:

• Significant experience with PostgreSQL for managing complex, relational entity state.
• Experience building custom Kubernetes controllers or extending Terraform providers.
• Familiarity with gRPC for high-performance internal service communication.

#LI-Hybrid

P24752

Okta Workflows is the secure, no-code automation platform that empowers organizations to build identity-centric workflows across cloud applications — all without writing code. Our intuitive drag-and-drop interface allows enterprises to automate complex business processes at scale, enhancing productivity, enforcing security, and simplifying IT operations.
Customers like Netflix, MGM, and NTT rely on Workflows to automate high-impact identity scenarios with speed and confidence.

As we continue to scale, we’re investing in extensibility, developer experience, and performance. Join us to help shape the future of cloud automation and low-code development.

Position Description

We’re hiring a Staff Full-Stack Engineer to join the Integration Builder team within Okta Workflows. This team owns the core no-code surface that enables both internal teams and third-party developers (ISVs) to build powerful integrations and automation experiences with ease.

As a Staff Engineer, you’ll lead initiatives that span front-end and back-end services — delivering performant, secure, and scalable features. You’ll help define architecture, drive implementation, and collaborate closely with Design, PM, and Platform teams. You’ll also work directly with our technical architects to help shape what we build — and how we build it. This is a high-impact role in a growing, strategic product area with strong executive visibility.

Role Details:

• Design, build, and maintain end-to-end features using modern JavaScript and cloud-native technologies (React, Node.js, TypeScript, PostgreSQL).
• Lead technical design for key initiatives, driving quality, scalability, and maintainability.
• Build reusable and performant UI components for a best-in-class no-code builder experience.
• Own services throughout their lifecycle — including implementation, testing, deployment, observability, and incident response.
• Work closely with Product, Design, and Architecture to define the “what” and “how” of features, ensuring solutions are both user-friendly and technically sound.
• Partner with infrastructure and platform teams to optimize system performance and reliability
• Mentor and support engineers across the team, fostering a culture of quality, ownership, and continuous improvement.
• Contribute to cross-functional planning, architectural reviews, and team-wide engineering practices.

Experience: 

• 6+ years of experience building modern web applications in a full-stack environment.
• Deep expertise in TypeScript, ReactJS, and Node.js (Express or similar frameworks).
• Experience designing APIs, working with relational databases (PostgreSQL or similar), and building services in a distributed, cloud-based architecture.
• A strong product mindset — you work well with Product and Design and care about delivering intuitive and elegant user experiences.
• Ability to collaborate closely with Architects to make smart technical tradeoffs, and drive alignment across teams.
• Passion for craftsmanship and high engineering standards (testing, monitoring, documentation, scalability).
• Excellent communication skills, with the ability to lead technical discussions and build consensus across functions.
• A growth mindset and interest in mentoring others and upleveling the team.

Nice to Haves:

• Experience with PostgreSQL, Docker, and Kubernetes.
• Exposure to low-code/no-code tools, workflow engines, or visual development platforms.
• Interest in AI-assisted developer tooling or automation.

Education and Training:

• Bachelor's in Computer Science, or relevant industry experience

#LI-TM

#LI-Hybrid

P7345_3197405

Awesome tech is made by awesome people, and we’re always looking for new team members who bring energy, passion, commitment, and collaboration. These qualities have made Okta the great company it is today.

So, what do we build exactly? Auth0 is an authentication and authorization platform designed by developers for developers. Basically, we make users' logins safe, secure, and seamless. Our mission is to secure the world’s identities so innovators can innovate, but it’s a big mission that requires a lot of teamwork.

We are looking for a Senior Software Engineer to join our high-caliber Extensibility Engineering team to help us continue to improve our ultra-low latency, secure, and scalable platform for untrusted code execution. In this role, you will have the opportunity to significantly contribute to the foundation of Auth0's Ecosystem, realizing a huge impact for our customers and partners.

As a member of Developer Experience - Extensibility Platform, you will: 

• Design, architect, and document large-scale distributed systems.
• Implement features across different layers of the stack using technologies such as Go, MongoDB, PostgreSQL, AWS, Azure, and Kubernetes.
• Lead team discussions, mentor other engineers to become senior and improve the team’s productivity.
• Contribute to improving Auth0's architecture, performance, observability, security controls, and best practices.
• Collaborate with Product and Security teams to define and continually improve Auth0’s Extensibility platform and architecture.
• Participate in our on-call rotations for troubleshooting production issues.

Key Qualifications:

• 5+ years of experience in software development, building distributed systems using Go.
• Strong experience in API-driven applications using REST and/or gRPC.
• Experience with packaging and distributing containerized applications using Docker and Kubernetes.
• Experience with sandboxing untrusted code or tenant isolation (both preferred but not required).
• A high bar for both code quality as well as quality of user experience.
• Proven ability to collaborate with others to drive initiatives forward.

Nice To Haves:

• Solid hands-on experience with Node.js in building scalable backend services

#LI-HYBRID

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P-3247_3396333

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

#LI-Hybrid

P15407_3389736

We are looking for a Staff Software Engineer to join our high-caliber Extensibility Engineering team to help us continue to improve our ultra-low latency, secure, and scalable platform for untrusted code execution. In this role, you will have the opportunity to significantly contribute to the foundation of the Customer Identity Ecosystem, realizing a huge impact for our customers and partners.

As a member of Developer Experience - Extensibility, you will: 

• Lead, Design, architect, and document large-scale projects using technologies such as  Node.js, Golang, MongoDB, PostgreSQL, AWS, Azure, and Kubernetes.
• Mentors others by coaching and delegating responsibilities to others. Collaborates with Engineering Manager on buy-in and direction.
• Contribute to improving Auth0's architecture, performance, observability, security controls, and best practices.
• Collaborate with Product and Security teams to define and continually improve Auth0’s Extensibility platform and architecture.
• Participate in our on-call rotations for troubleshooting production issues.

Key Qualifications:

• 8+ years of experience in software development building distributed systems (Node.js and/or Go).
• Strong experience in API-driven applications using REST and/or gRPC.
• Experience with packaging and distributing containerized applications using Docker and Kubernetes.
• Experience with sandboxing untrusted code or tenant isolation (both preferred but not required).
• A high bar for both code quality as well as quality of user experience.
• Proven ability to collaborate with others to drive initiatives forward.

Nice To Haves:

• Frontend application development in React/Angular (or other JavaScript frameworks) is a plus.
• An understanding of evergreen infrastructure and CI/CD best practices

#LI-HYBRID

#LI-SH1
P20120_3431986

The Streaming Foundations team builds services and operates data pipeline infrastructure to support event streaming, messaging, and analytics use cases. We are looking for a Software Engineer who is passionate about distributed systems, platform engineering, and solving data-intensive problems at scale. In this high-impact role, you will get to work with engineers throughout the organization to build foundational infrastructure that allows Auth0 to scale for years to come.

What you’ll be doing

• Help set the technical direction for the team and influence the engineering roadmap for the Platform’s streaming capabilities
• Design and lead the implementation of our most complex and critical systems for data-intensive use cases.
• Research and champion new technologies and architectural patterns to solve strategic challenges and scale the platform.
• Lead and influence cross-functional initiatives, ensuring technical alignment and successful execution across multiple teams.
• Improve the operational posture of our systems by designing for observability, reliability, and scalability, and by mentoring others in operational best practices.
• Coach and mentor senior engineers and act as a technical leader across the engineering organization.

What you’ll bring to our teams

• 5+ years of software development experience in a fast-paced, agile environment
• Experience working with Golang or Java is preferred
• Hands-on experience designing, developing and tuning highly-scalable, event-driven systems
• Solid understanding of database fundamentals and experience with event streaming technologies such as Kafka
• A passion and interest to work on systems that are highly reliable, maintainable, scalable and secure.

Extra points

• Experience with front-end technologies such as TypeScript and React
• Familiarity with cloud providers (AWS, Azure) and container technologies such as Kubernetes, Docker
• Familiarity with or interest in the Identity and Access Management (IAM) business domain

#LI-REMOTE

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P24750_3365759

The Opportunity

Auth0’s platform is the front door for thousands of customers and millions of users. On the Platform Engineering team, we build the resilient foundations that enable customers to rely on Auth0 for always-on authentication and authorization services.

As the Senior Manager of Data Streaming Services, you will lead the evolution of our streaming data backbone across a multi-cloud footprint. You will oversee multiple engineering teams dedicated to making data streaming seamless, reliable, and high-performance. This is a "manager of managers" role requiring a blend of strategic foresight, execution rigor, and technical grit. You will set the vision for our streaming services, mentor high-performing teams, and take accountability for our service uptime guarantees.

What you’ll achieve

• Lead a world-class team of teams. Oversee data streaming infrastructure and services that power our global platform across AWS and Azure.
• Own roadmap and execution. Partner with product and stakeholder teams to define the team's strategy and prioritized roadmap.
• Drive engineering excellence. Set high standards of quality, reliability, and operational robustness, championing best practices in software development, from code reviews to observability and incident management.
• Lead an automation-first culture. Reduce operational friction and ensure infrastructure is self-healing and code-defined. Draw efficiency from AI-assisted development.
• Act as a technical leader. Lead response on incidents for services under ownership and help teams navigate complex distributed systems failures.

What you’ll bring

• Proven engineering leadership, building and leading teams of teams. Experience coaching Staff+ engineers and engineering managers.
• Strong technical and architectural acumen. Background in building scalable, distributed systems. Comfortable participating in and guiding technical discussions.
• Strong project management skills. Expertise in creating technical roadmaps, prioritizing effectively in an agile environment, and managing complex project dependencies.
• Collaborative leadership style, adapted to remote ways of working. Excellent written and verbal communication skills to build strong relationships with stakeholders and inspire others.

Bonus Points

• Experience developing data-intensive applications in a modern programming language such as go, node.js, or Java.
• Experience with databases such as PostgreSQL and MongoDB.
• Experience with distributed streaming platforms like Kafka.
• Familiarity with concepts in the IAM (Identity and Access Management) domain.
• Experience with cloud providers (AWS, Azure), container technologies such as Kubernetes and Docker, and observability tools such as Datadog.
• Experience building reliable, high-availability platforms for enterprise SaaS applications.

#LI-Hybrid

P15407_3389736

The Streaming Foundations team builds services and operates data pipeline infrastructure to support event streaming, messaging, and analytics use cases. We are looking for a Software Engineer who is passionate about distributed systems, platform engineering, and solving data-intensive problems at scale. In this high-impact role, you will get to work with engineers throughout the organization to build foundational infrastructure that allows Auth0 to scale for years to come.

What you’ll be doing

• Writing maintainable, efficient code using proven patterns to solve complex problems
• Lead the design and development of highly scalable services for data-intensive use cases
• Evaluate and advocate for modern technologies to accelerate value delivery and improve engineering efficiency
• Carry cross-team initiatives from end to end: code reviews, design reviews, operational robustness, security hygiene, etc
• Participate in team’s on-call rotation to build operational excellence on services we support
• Coach and mentor engineers to help scale up the engineering organization

What you’ll bring to our teams

• 3-5 years of software development experience in a fast-paced, agile environment
• Experience working with Golang or Java is preferred
• Hands-on experience designing, developing and tuning highly-scalable, event-driven systems
• Solid understanding of database fundamentals and experience with event streaming technologies such as Kafka
• A passion and interest to work on systems that are highly reliable, maintainable, scalable and secure.

Extra points

• Experience with front-end technologies such as TypeScript and React
• Familiarity with cloud providers (AWS, Azure) and container technologies such as Kubernetes, Docker
• Familiarity with or interest in the Identity and Access Management (IAM) business domain

#LI-REMOTE

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P24754_3365760

As a Staff Software Engineer, you will serve as a technical leader and architect for our backend systems. You will be responsible for defining the technical vision of our platform, mentoring senior engineers, and solving complex challenges related to scalability and reliability. Your role is to be a force multiplier, ensuring that our engineering practices and architectures enable teams to deliver high-quality software at a global scale.

What You’ll Do

• Technical Strategy: Define and drive the long-term technical roadmap for Golang-based backend services, ensuring alignment with broader business objectives and platform initiatives.

• Architectural Leadership: Lead the design and evolution of Postgres-backed distributed systems, prioritizing high performance, multi-region reliability, and complex data workflows (CDC).

• Complexity Reduction: Identify systemic redundancies across teams; lead efforts to consolidate tools and services to simplify the developer experience and reduce organizational complexity.

• Operational Excellence: Set the standard for observability and operational health. You will influence the strategy for platform availability and lead initiatives to improve system resilience.

• Cross-Functional Influence: Partner with Product, Infrastructure, and Security leadership to negotiate technical trade-offs and ensure the platform scales efficiently.

• Sponsorship & Mentorship: Actively sponsor the growth of Senior and Mid-level engineers through deep technical guidance, rigorous code reviews, and career-shaping feedback.

• Culture of Excellence: Champion best practices in software design, CI/CD, and automation, fostering a culture of technical rigor and continuous improvement.
  
  

What You’ll Bring

• Professional Depth: 8+ years of software engineering experience, with a track record of leading large-scale initiatives from architectural design to production.

• Golang Mastery: Expert proficiency in Golang and a deep understanding of distributed systems design, concurrency patterns, and performance optimization.

• Data Architecture: Significant experience with Postgres, including advanced schema design, query optimization at scale, and managing high-volume data pipelines.

• Systemic Thinking: Proven ability to design resilient, high-availability services that operate under heavy global load.

• Influence Without Authority: Exceptional ability to drive consensus across multiple engineering teams and influence technical direction through collaboration.

• Communication: Excellence in distilling complex technical concepts into clear, actionable strategies for both technical and non-technical stakeholders.

• Proactive Problem Solving: A history of identifying and resolving ambiguous, high-impact technical debt and architectural bottlenecks.
  
  

Preferred Qualifications

• Distributed Systems: Experience with modern microservices communication patterns and service-oriented architectures.

• Polyglot Awareness: Exposure to other languages such as TypeScript, JavaScript, or Node.js in a service-oriented environment.

• Cloud Infrastructure: Familiarity with container orchestration (e.g., Kubernetes) and deploying/operating services within major cloud providers (AWS or Azure).

• Infrastructure as Code: Experience or familiarity with automating infrastructure deployment and management.
  
  #LI-Hybrid
  P24756_3384767

The End User Protection Team 

Auth0 is an easy-to-implement authentication and authorization platform designed by developers for developers. We ensure access to applications is safe, secure, and seamless for the more than 100 million daily logins worldwide. Our modern approach to identity enables this Tier-0 global service to deliver convenience, privacy, and security, allowing customers to focus on innovation.

The End User Protection team is responsible for building and maintaining Auth0’s Attack Protection capabilities. Cyberattacks, such as credential stuffing and password spraying, often target end users to gain unauthorised access to applications. These attacks pose a significant threat, compromising user accounts and data. The Attack Protection features mitigate these risks by continuously monitoring user login behaviour and automatically detecting and blocking malicious activity. They protect users without adding unnecessary friction.
The team works closely with our Machine Learning and AI teams to develop and deploy cutting-edge detection models. This collaboration allows application builders to provide a secure login experience for their users while isolating them from the complexities and ever-evolving tactics of these attacks.

The Senior Software Engineer Opportunity

We are looking for a Senior Software Engineer to join our End User Protection team. 

What you’ll be doing 

• Be a part of a fast-paced, agile team.
• Design and build features using technologies such as Node.js (JavaScript/Typescript), AWS, Azure, MongoDB, PostgreSQL, DynamoDB and Kubernetes
• Lead the technical breakdown of complex requirements into clear, modular, and actionable engineering tasks, setting the standard for project clarity and velocity.
• Drive and own the engineering estimation process for medium to large -sized initiatives, effectively managing risk and communicating technical trade-offs, timelines, and dependencies to engineering and product leadership.
• Act as a key technical collaborator and influencer with internal stakeholders (e.g., Product Management, Security, Infrastructure), proactively aligning technical roadmaps and advocating for architectural changes that support long-term product vision.
• Collaborate with industry-leading experts to implement the cutting-edge of Identity Protocols and Open Standards such as OpenID Connect, OAuth and SAML 
• Maintain and operate services at a large scale
• Participate in scheduled on-call rotations
• Mentor junior and mid-level engineers, providing guidance on system design, code quality, testing practices, and career development. Foster a culture of technical excellence and collaborative ownership.

What you’ll bring to the role

• Practical experience using Node.js (JavaScript or Typescript) or a similar language
• Experience working on systems that are highly reliable, maintainable and scalable.
• Thorough understanding of application security and cloud security best practices
• A systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive
• A track record of influencing engineering strategy and driving complex, multi-quarter projects to completion across organisational boundaries.
• Demonstrated ability to coach and grow other engineers in areas of system architecture, security, and operational rigour.
• Experience with cloud environments (AWS and Azure preferred)
• The ability to communicate your ideas and collaborate with other team members effectively in a remote working environment.
• Experience designing, analysing, and troubleshooting large-scale distributed systems
• Enthusiasm to work with and learn more about Identity Protocols such as OAuth, OIDC and SAML

And extra credit if you have experience in any of the following! 

• Existing knowledge of Identity Protocols such as OAuth, OIDC and SAML
• Existing knowledge of security engineering and application security
• Proven experience and understanding of architecture principles across infrastructure platforms, security, data, integration, and application layers

#LI-HYBRID

#LI-SH1
P-1609.1_3388437

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

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

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

Who You Are

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

What We Need

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

What You Will Learn

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

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

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

Overview:

Guidepoint’s Engineering team thrives on problem-solving and creating happier users. As Guidepoint works to achieve its mission of making individuals, businesses, and the world smarter through personalized knowledge-sharing solutions, the engineering team is taking on challenges to improve our internal application architecture and create new products to optimize the seamless delivery of our services.

This position is hybrid in Toronto.

What You’ll Do:

• Service Decomposition — Breaking apart a monolithic enterprise application into well-bounded, independently deployable services. You'll define service boundaries, design APIs and contracts between them, and plan a phased migration strategy that keeps the business running while the architecture evolves.
• Data Migration — Leading the migration from a large, centralized multi-tenant database to smaller, domain-specific databases. This includes designing the target schemas, building migration tooling, handling data integrity and validation, and coordinating cutover with minimal downtime.
• Developer Experience & Standards — Establishing patterns, shared libraries, and CI/CD practices that make it easy for the rest of the engineering team to build on the new architecture with confidence.

What You Have

• 8+ years of experience in backend or full-stack engineering, with a demonstrated history of owning and delivering complex technical initiatives in enterprise environments.
• Architect Mindset with IC Ownership — You operate independently, make sound technical decisions, and drive projects from design through delivery without needing to be managed.
• Modernization Expertise — You have a track record of migrating or re-architecting legacy codebases into modern, maintainable systems without disrupting business continuity.
• Builder of New Services — You can design, build, and ship greenfield services end-to-end with production-grade quality.
• Fast-Paced Execution — You thrive in environments that value speed and iteration. You unblock yourself and move quickly without sacrificing quality.
• AI-Augmented Engineering — You actively leverage AI-assisted development tools (Cursor, etc.) to accelerate your workflow, and you know how to validate and monitor AI-generated output to ensure correctness and reliability.
• Backend & APIs — Strong Python proficiency with hands-on FastAPI experience.
• Ability to design and build performance, well-structured REST and GraphQL APIs.
• Databases — Deep experience with relational databases — PostgreSQL and/or SQL Server. Proficient in schema design, query optimization, and migrations.
• Messaging & Events — Working knowledge of asynchronous messaging patterns using RabbitMQ, Azure Service Bus, and/or Azure Event Hub.
• Infrastructure & CI/CD — Experience with containerized deployments on Kubernetes (K8s) and building/maintaining CI/CD pipelines (Azure DevOps, or similar).
• Frontend — Comfortable contributing to frontend codebases in React and TypeScript. You don't need to be a frontend specialist, but you can ship UI changes when needed.
• Observability — Hands-on experience with Datadog or equivalent platforms for monitoring, logging, distributed tracing, and alerting in production systems.

What We Offer:  

The annual base salary range for this position is $160,000 - $180,000. Additionally, this position is eligible for an annual discretionary bonus based on performance.

You will also be eligible for the following benefits:

• Paid Time Off
• Comprehensive benefits plan
• Company RRSP Match
• Development opportunities through the LinkedIn Learning platform

About Guidepoint: 

Guidepoint is a leading research enablement platform designed to advance understanding and empower our clients’ decision-making process. Powered by innovative technology, real-time data, and hard-to-source expertise, we help our clients to turn answers into action.

Backed by a network of nearly 1.75 million experts and Guidepoint’s 1,600 employees worldwide, we inform leading organizations’ research by delivering on-demand intelligence and research on request. With Guidepoint, companies and investors can better navigate the abundance of information available today, making it both more useful and more powerful.

At Guidepoint, our success relies on the diversity of our employees, advisors, and client base, which allows us to create connections that offer a wealth of perspectives. We are committed to upholding policies that contribute to an equitable and welcoming environment for our community, regardless of background, identity, or experience.

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#LI-HYBRID

Overview: 

Guidepoint seeks an experienced Data/AI Engineer as an integral member of the Toronto-based AI team. The Toronto Technology Hub serves as the base of our Data/AI/ML team, dedicated to building a modern data infrastructure for advanced analytics and the development of responsible AI. This strategic investment is integral to Guidepoint’s vision for the future, aiming to develop cutting-edge Generative AI and analytical capabilities that will underpin Guidepoint’s Next-Gen research enablement platform and data products. 

This role demands exceptional leadership and technical prowess to drive the development of next-generation research enablement platforms and AI-driven data products. You will develop and scale Generative AI-powered systems, including large language model (LLM) applications and research agents, while ensuring the integration of responsible AI and best-in-class MLOps. The Senior AI/ML Engineer will be a primary contributor to building scalable AI/ML capabilities using Databricks and other state-of-the-art tools across all of Guidepoint’s products. 

Guidepoint’s Technology team thrives on problem-solving and creating happier users. As Guidepoint works to achieve its mission of making individuals, businesses, and the world smarter through personalized knowledge-sharing solutions, the engineering team is taking on challenges to improve our internal application architecture and create new AI-enabled products to optimize the seamless delivery of our services.

This is a hybrid position based in Toronto. 

What You'll Do 

• Architect and Build Production Systems: Design, build, and operate scalable, low-latency backend services and APIs that serve Generative AI features, from retrieval-augmented generation (RAG) pipelines to complex agentic systems. 

• Own the AI Application Lifecycle: Own the end-to-end lifecycle of AI-powered applications, including system design, development, deployment (CI/CD), monitoring, and optimization in production environments like Databricks and Azure Kubernetes Service (AKS). 

• Optimize RAG Pipelines: Continuously improve retrieval and generation quality through techniques like retrieval optimization (tuning k-values, chunk sizes), using re-rankers, advanced chunking strategies, and prompt engineering for hallucination reduction. 

• Integrate Intelligent Systems: Engineer solutions that seamlessly combine LLMs with our proprietary knowledge repositories, external APIs, and real-time data streams to create powerful copilots and research assistants. 

• Champion LLMOps and Engineering Best Practices: Collaborate with data science and engineering teams to establish and implement best practices for LLMOps, including automated evaluation using frameworks like LLM Judges or MLflow, AI observability, and system monitoring. 

• Evaluate and Implement AI Strategies: Systematically evaluate and apply advanced prompt engineering methods (e.g., Chain-of-Thought, ReAct) and other model interaction techniques to optimize the performance and safety of proprietary and open-source LLMs. 

• Mentor and Lead: Provide technical leadership to junior engineers through rigorous code reviews, mentorship, and design discussions, helping to elevate the team's engineering standards. 

• Influence the Roadmap: Partner closely with product and business stakeholders to translate user needs into technical requirements, define priorities, and shape the future of our AI product offerings. 

 What You'll Bring 

• Experience: A Bachelor’s degree in Computer Science, Engineering, or a related technical field with 6+ years of professional experience; or a Master’s degree with 4+ years of professional experience in backend software engineering and Generative AI. This must include a proven track record of designing, building, and scaling distributed, production-grade systems. 

• Strong Software Engineering Fundamentals: Deep expertise in Python, a major backend framework (e.g., FastAPI, Flask), and asynchronous programming (e.g., asyncio). Proficiency in designing RESTful APIs, microservices, and the complete operational lifecycle, including comprehensive testing, CI/CD (e.g., ArgoCD), observability, monitoring, alerting, maintaining high uptime, and executing zero-downtime deployments. 

• Cloud & Infrastructure Proficiency: Hands-on experience deploying and managing applications on a major cloud platform (Azure preferred, AWS/GCP acceptable) using containerization (Docker) and orchestration (Kubernetes, Helm). 

• Production AI Application Experience: 2+ years of experience building applications that leverage large language models from providers like OpenAI, Anthropic, or Google Gemini. Direct experience with modern LLM patterns such as retrieval-augmented generation (RAG), hybrid search using vector databases (e.g., Pinecone, Elasticsearch), multi-agent AI systems with tool calls, and prompt engineering is required. 

• AI System Design and Evaluation: Experience designing and implementing robust evaluation frameworks for LLM-based systems, including rubric-based scoring, LLM Judges, or using tools like MLflow, alongside monitoring for performance and drift. 

• Large-Scale Data Processing: Familiarity with large-scale data processing platforms and tools (e.g., Databricks, Apache Spark). 

• Familiarity with the Modern AI Stack: Practical experience with libraries and frameworks like LangChain or LlamaIndex for building LLM-powered applications. 

• Leadership and Mentorship: Demonstrated ability to lead complex technical projects and foster the growth of other engineers. 

What We Offer:  

The annual base salary range for this position is $135,000 - $210,000. Additionally, this position is eligible for an annual discretionary bonus based on performance.

You will also be eligible for the following benefits: 

• Paid Time Off 

• Comprehensive benefits plan 
• Company RRSP Match 
• Development opportunities through the LinkedIn Learning platform 

About Guidepoint: 

Guidepoint is a leading research enablement platform designed to advance understanding and empower our clients’ decision-making process. Powered by innovative technology, real-time data, and hard-to-source expertise, we help our clients to turn answers into action. 

Backed by a network of nearly 1.75 million experts, and Guidepoint’s 1,600 employees worldwide, we inform leading organizations’ research by delivering on-demand intelligence and research on request. With Guidepoint, companies and investors can better navigate the abundance of information available today, making it both more useful and more powerful. 

At Guidepoint, our success relies on the diversity of our employees, advisors, and client base, which allows us to create connections that offer a wealth of perspectives. We are committed to upholding policies that contribute to an equitable and welcoming environment for our community, regardless of background, identity, or experience. 

#LI-SP1

#LI-Hybrid

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

Key Responsibilities

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

Requirements

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

Preferred

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

Annual Compensation Range: 

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

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

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

About the team + role

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. 

The Vulnerability Management team’s mission is to reimagine security as an engineering and design challenge by building scalable, automated defense systems that proactively identify and reduce risk. The team is driving a shift toward an intelligence-driven defense model, leveraging advanced technologies like AI and machine learning to move beyond traditional “scan-and-patch” approaches and make security seamless for developers.

As a Senior Vulnerability Management Engineer, you will lead the transformation of vulnerability management into a self-scaling security platform. You’ll architect next-generation automated defense systems, using Agentic AI and machine learning to continuously discover, prioritize, and remediate risk at scale—helping make security efficient, proactive, and embedded into the development lifecycle.

This role is based in our Toronto, Canada office(s), with in-person attendance expected at least 3 days per week. 

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

What you’ll do

• Set Strategic RBVM Vision: Act as the technical lighthouse, defining the multi-year roadmap and driving the move toward Risk-Based Vulnerability Management (RBVM), prioritizing vulnerabilities based on real-world exploitability and business context.
• Architect Agentic AI Systems: Design and deploy AI agents that autonomously triage findings, correlate threat intelligence, and generate production-ready remediations (e.g., automated Pull Requests for dependency updates and config drift).
• Build Exposure Intelligence: Develop systems that correlate vulnerabilities with runtime context and infrastructure topology (Kubernetes/AWS) to accurately model real-world blast radius and ensure engineers only fix what is actually exploitable.
• Automate Triage & Self-Healing: Create "paved roads" and CI/CD guardrails that prevent specific vulnerability categories from ever reaching production, reducing manual toil for the entire engineering organization.
• Data-Centric Visibility: Build high-fidelity dashboards using LLM-powered summarization to translate complex security signals into actionable insights for engineering leadership.
• Lead Emergency Response: Orchestrate the technical response to high-impact zero-days by rapidly performing cross-environment blast-radius analysis.
• Drive Execution Ownership: Take full ownership of operational security work, ensuring that critical vulnerabilities are systematically eradicated while maintaining high engineering velocity.

What you bring

• Experience: 5+ years in Security Engineering with a track record of leading high-impact automation or security platform initiatives at a Senior or Staff level.
• AI & Agentic System Fluency: Hands-on experience building or deploying agentic systems or LLM orchestration frameworks (e.g., LangChain, AutoGPT) to solve complex security or engineering problems at scale.
• Bug Bounty & Exploit Proficiency: Active experience participating in or managing Bug Bounty programs; a deep understanding of how attackers exploit vulnerabilities and how to translate those findings into systemic fixes.
• Engineering Excellence: Strong software engineering background with proficiency in Go or Python and a history of building scalable, API-driven security tooling.
• Modern Infrastructure Depth: Deep knowledge of securing AWS and Kubernetes-based architectures.
• Vulnerability Domain Knowledge: High familiarity with vulnerability categories, exploitability, and modern risk frameworks (CVSS, EPSS, CISA KEV).
• Detection Ecosystems: Experience with modern platforms like Snyk, Semgrep, Wiz, EndorLabs, or TruffleHog.
• Velocity Mindset: A commitment to reducing security friction and a track record of working effectively with high-velocity engineering teams.

Nice to have

• Fintech Experience: Experience navigating security in highly regulated or high-growth financial environments.
• Security as Code: Experience implementing "Security as Code" within large-scale CI/CD environments.

What we offer

• Challenging, high-impact work to grow your career
• Performance driven compensation with multipliers for outsized impact, bonus programs, and equity ownership
• Top tier benefits to fuel your work, including supplemental health insurance, ancillary insurance, and mental health support programs
• Lifestyle wallet - a highly flexible employer-paid benefits spending account expenses beyond traditional benefits such as wellness, childcare, learning, and more.
• Time off to recharge including company holidays, paid time off, sick time, paid volunteer time off, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces. 
• Monthly commuter stipend to help offset in-office commuting costs

Our team is committed to providing an inclusive and welcoming interview experience for all candidates. If you require a specific accommodation during the application or interview process due to a physical or mental condition, please complete this Applicant Accommodation Form to notify our team. The form should only be completed if you need a specific accommodation.

AI Usage Disclosure: Robinhood uses artificial intelligence (AI) tools to support parts of our recruiting process. These tools enhance the efficiency and consistency of our hiring process; however, all hiring decisions are made by our hiring teams.

Vacancy Notice: This job posting represents an existing vacancy that we are actively seeking to fill.

About the team + role

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. 

At Robinhood, we view security as an engineering and design challenge, not an administrative one. We are looking for a lead architect for our next-generation automated defense systems. As a Senior Vulnerability Management Engineer, you will transform the program into a self-scaling security platform that transcends traditional "scan-and-patch" cycles. You will lead the shift to an Intelligence-Driven Defense model by leveraging Agentic AI and Machine Learning to automate the discovery, prioritization, and remediation of risk at scale, ultimately making security "cheap" for our developers.

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

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

What you’ll do

• Set Strategic RBVM Vision: Act as the technical lighthouse, defining the multi-year roadmap and driving the move toward Risk-Based Vulnerability Management (RBVM), prioritizing vulnerabilities based on real-world exploitability and business context.
• Architect Agentic AI Systems: Design and deploy AI agents that autonomously triage findings, correlate threat intelligence, and generate production-ready remediations (e.g., automated Pull Requests for dependency updates and config drift).
• Build Exposure Intelligence: Develop systems that correlate vulnerabilities with runtime context and infrastructure topology (Kubernetes/AWS) to accurately model real-world blast radius and ensure engineers only fix what is actually exploitable.
• Automate Triage & Self-Healing: Create "paved roads" and CI/CD guardrails that prevent specific vulnerability categories from ever reaching production, reducing manual toil for the entire engineering organization.
• Data-Centric Visibility: Build high-fidelity dashboards using LLM-powered summarization to translate complex security signals into actionable insights for engineering leadership.
• Lead Emergency Response: Orchestrate the technical response to high-impact zero-days by rapidly performing cross-environment blast-radius analysis.
• Drive Execution Ownership: Take full ownership of operational security work, ensuring that critical vulnerabilities are systematically eradicated while maintaining high engineering velocity.

What you bring

• Experience: 5+ years in Security Engineering with a track record of leading high-impact automation or security platform initiatives at a Senior or Staff level.
• AI & Agentic System Fluency: Hands-on experience building or deploying agentic systems or LLM orchestration frameworks (e.g., LangChain, AutoGPT) to solve complex security or engineering problems at scale.
• Bug Bounty & Exploit Proficiency: Active experience participating in or managing Bug Bounty programs; a deep understanding of how attackers exploit vulnerabilities and how to translate those findings into systemic fixes.
• Engineering Excellence: Strong software engineering background with proficiency in Go or Python and a history of building scalable, API-driven security tooling.
• Modern Infrastructure Depth: Deep knowledge of securing AWS and Kubernetes-based architectures.
• Vulnerability Domain Knowledge: High familiarity with vulnerability categories, exploitability, and modern risk frameworks (CVSS, EPSS, CISA KEV).
• Detection Ecosystems: Experience with modern platforms like Snyk, Semgrep, Wiz, EndorLabs, or TruffleHog.
• Velocity Mindset: A commitment to reducing security friction and a track record of working effectively with high-velocity engineering teams.

Nice to have

• Fintech Experience: Experience navigating security in highly regulated or high-growth financial environments.
• Security as Code: Experience implementing "Security as Code" within large-scale CI/CD environments.

What we offer

• Challenging, high-impact work to grow your career.
• Performance-driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching.
• Best-in-class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents.
• Lifestyle wallet — a highly flexible benefits spending account for wellness, learning, and more.
• Employer-paid life & disability insurance, fertility benefits, and mental health benefits.
• Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces.

About the team + role

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. 

The Security Operations (SecOps) team works to safeguard Robinhood and its customers by identifying, investigating, and responding to security threats. The team monitors production systems, endpoints, and cloud environments, and uses threat intelligence and structured testing to uncover risks before they affect customers. SecOps partners closely with engineering and infrastructure teams to strengthen detection coverage and response readiness. The team’s focus is clear: reduce risk, improve visibility, and protect customer trust every day!

As a Security Engineer, Detection & Response, you will strengthen Robinhood’s ability to detect, investigate, and contain security incidents. You will design and improve detection logic, analyze security telemetry across cloud and endpoint systems, and contribute to measurable reductions in false positives and detection gaps. You will work directly with SOC analysts and security engineers to refine investigation workflows and document incident findings. This role is ideal for someone who enjoys hands-on detection engineering and improving how teams respond to real-world threats!

This role is based in our Toronto, Canada office(s), with in-person attendance expected at least 3 days per week. 

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

What you’ll do

• Investigate security alerts across SIEM, EDR, and cloud security platforms, perform log analysis, and coordinate containment or remediation steps with engineering partners
• Develop, test, and tune detection rules using query languages to improve signal quality and reduce false positives
• Correlate data from multiple telemetry sources to identify attack patterns and determine appropriate response actions
• Monitor emerging threats and update detection logic based on investigation findings and threat intelligence reporting
• Contribute to automation efforts by building or refining SOAR playbooks and scripts that improve investigation speed and consistency
• Document incidents and contribute to post-incident reviews with clear findings and recommended improvements to detection and response processes

What you bring

• 2–4 years of experience in security operations, detection engineering, or incident response
• Experience analyzing logs and tuning alerts within SIEMs, EDR platforms, and cloud security tools
• Experience writing detections using query languages (e.g., SQL-like, KQL, or similar)
• Familiarity with threat hunting and investigation techniques across cloud and endpoint environments
• Ability to analyze security telemetry, identify patterns of malicious activity, and recommend practical improvements
• Clear written and verbal communication skills when documenting incidents and collaborating with technical teams

Nice to have:

Our ambitious roadmap requires a great culture shaped by exceptional leaders. Here’s what we expect from them:

• Experience developing and deploying SOAR playbooks to automate detection and response workflows
• Familiarity with AWS, Okta, Kubernetes, and/or Google Workspace security monitoring tools
• Experience writing software to support detection and response tooling with a focus on secure, maintainable code
• Experience in building Agentic workflows, optimizing workflows with Generative AI

What we offer

• Challenging, high-impact work to grow your career
• Performance driven compensation with multipliers for outsized impact, bonus programs, and equity ownership
• Top tier benefits to fuel your work, including supplemental health insurance, ancillary insurance, and mental health support programs
• Lifestyle wallet - a highly flexible employer-paid benefits spending account expenses beyond traditional benefits such as wellness, childcare, learning, and more.
• Time off to recharge including company holidays, paid time off, sick time, paid volunteer time off, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces. 
• Monthly commuter stipend to help offset in-office commuting costs

Our team is committed to providing an inclusive and welcoming interview experience for all candidates. If you require a specific accommodation during the application or interview process due to a physical or mental condition, please complete this Applicant Accommodation Form to notify our team. The form should only be completed if you need a specific accommodation.

AI Usage Disclosure: Robinhood uses artificial intelligence (AI) tools to support parts of our recruiting process. These tools enhance the efficiency and consistency of our hiring process; however, all hiring decisions are made by our hiring teams.

Vacancy Notice: This job posting represents an existing vacancy that we are actively seeking to fill.

About the team + role

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. 

The Security Operations (SecOps) team works to safeguard Robinhood and its customers by identifying, investigating, and responding to security threats. The team monitors production systems, endpoints, and cloud environments, and uses threat intelligence and structured testing to uncover risks before they affect customers. SecOps partners closely with engineering and infrastructure teams to strengthen detection coverage and response readiness. The team’s focus is clear: reduce risk, improve visibility, and protect customer trust every day!

As a Security Engineer, Detection & Response, you will strengthen Robinhood’s ability to detect, investigate, and contain security incidents. You will design and improve detection logic, analyze security telemetry across cloud and endpoint systems, and contribute to measurable reductions in false positives and detection gaps. You will work directly with SOC analysts and security engineers to refine investigation workflows and document incident findings. This role is ideal for someone who enjoys hands-on detection engineering and improving how teams respond to real-world threats!

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

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

What you’ll do

• Investigate security alerts across SIEM, EDR, and cloud security platforms, perform log analysis, and coordinate containment or remediation steps with engineering partners
• Develop, test, and tune detection rules using query languages to improve signal quality and reduce false positives
• Correlate data from multiple telemetry sources to identify attack patterns and determine appropriate response actions
• Monitor emerging threats and update detection logic based on investigation findings and threat intelligence reporting
• Contribute to automation efforts by building or refining SOAR playbooks and scripts that improve investigation speed and consistency
• Document incidents and contribute to post-incident reviews with clear findings and recommended improvements to detection and response processes

What you bring

• 2–4 years of experience in security operations, detection engineering, or incident response
• Experience analyzing logs and tuning alerts within SIEMs, EDR platforms, and cloud security tools
• Experience writing detections using query languages (e.g., SQL-like, KQL, or similar)
• Familiarity with threat hunting and investigation techniques across cloud and endpoint environments
• Ability to analyze security telemetry, identify patterns of malicious activity, and recommend practical improvements
• Clear written and verbal communication skills when documenting incidents and collaborating with technical teams

Nice to have:

Our ambitious roadmap requires a great culture shaped by exceptional leaders. Here’s what we expect from them:

• Experience developing and deploying SOAR playbooks to automate detection and response workflows
• Familiarity with AWS, Okta, Kubernetes, and/or Google Workspace security monitoring tools
• Experience writing software to support detection and response tooling with a focus on secure, maintainable code
• Experience in building Agentic workflows, optimizing workflows with Generative AI

What we offer

• Challenging, high-impact work to grow your career.
• Performance-driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching.
• Best-in-class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents.
• Lifestyle wallet — a highly flexible benefits spending account for wellness, learning, and more.
• Employer-paid life & disability insurance, fertility benefits, and mental health benefits.
• Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces.

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

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

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

Responsibilities

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

Experiences

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

Benefits

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

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

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

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

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

This job fills an existing vacancy.

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

Marketplace teams are at the heart of our products and decision-making. We’re looking for passionate, driven engineers to build systems that empower our users (both Drivers and Riders) to make the most effective use of Lyft’s products and experiences by making them more predictive, personalized, and adaptive. We’re looking for someone who is passionate about solving problems with distributed computing, ML, data alongside building reliable systems, and is excited about working in a fast-paced, innovative, and collegial environment.

As a Software Engineer, with your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance the platform offerings. Your work will have a major impact on several areas of the business.

We are looking for candidates who are self starters and have a proven track record of delivering software solutions that can solve critical business needs. The candidate should be able to dive deep into any problems with lots of ambiguity and build a technical solution to solve it. They should be willing to take ownership of a project or a feature and be able to drive it from design to implementation.

The Growth Platforms team owns both the Incentives & Messaging systems for Lyft. These systems determine & send the right messaging and/or incentives to the right user at the right time. We work with lyft-wide engineering teams including rider & driver side, marketing, and product management to adapt our services and the platform offerings to be able to enable growth across Lyft. You will gain comprehensive knowledge of Lyft's internal services and operations and adapt them to meet the growth needs. You will have the opportunity to improve the quality and efficiency by having optimizations via machine learning models to perform decisions at various critical aspects of the platform. 

Responsibilities:

• Design, develop, deploy, monitor, operate and maintain existing or new elements of our systems and infrastructure
• Collaborate with engineers and partners in science & product to drive projects from inception, specification, execution, or to launch
• Build and operate large-scale distributed systems
• Help establish roadmap and architecture based on technology and our needs
• Analyze our internal systems and processes and locate areas for improvement / automation
• Write well-crafted, well-tested, readable, maintainable code
• Unblock, support and communicate with internal partners to achieve results
• Share your knowledge by giving brown bags, tech talks, and evangelizing appropriate tech and engineering best practices

Experience:

• 3+ years of software engineering industry experience
• BS/MS or equivalent in Computer Engineering, Computer Science, or related field or relevant work experience
• Experience in backend software development of large-scale distributed systems, and/or experience with data infrastructure
• Understanding of distributed systems concepts and principles (consistency and availability, liveness and safety, durability, reliability, fault-tolerance, consensus algorithms, etc)
• Experience working with kubernetes and container technologies (e.g. Docker, cri-o, etc)
• Familiar with using Python and cloud-based environments such as AWS/GCP/Azure
• Experience with AI/ML like Model integration or using ML frameworks will be a plus

Benefits:

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

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

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

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

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

This job fills an existing vacancy.

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

We are seeking a talented Software Engineer to join our dynamic Streaming Compute Team. In this role, you'll be instrumental in designing, developing, and maintaining our low latency and high throughput systems, which are critical to a lot of teams like driver, mapping, fraud etc. and almost all ML models at Lyft. Our systems and platform are used for a variety of use cases such as, persisting high volume service events, detecting issues with routes, computing prime-time, creating, storing and serving ML features for training and inference purposes for teams like payments, incentives etc. The majority of our streaming solutions run on Apache Flink and Apache Beam with support from reading and writing to various sources and sinks respectively.

As a Software Engineer,  you will lead the team’s projects and initiatives seeing them to completion. You will be responsible for key systems and components within the team. You will identify and lead the efforts in improving architecture and operations for the team.

We are looking for candidates who have prior experience with near-real-time streaming systems, are self-starters, and have a proven track record of delivering high-quality software solutions that solve critical business needs. The candidate should be able to dive deep into problems with lots of ambiguity, leading architectural design and building robust, well-tested technical solutions. They should be willing to take complete ownership of a project or a feature, able to drive it from design and implementation through to operational excellence, while also mentoring others, improving team engineering practices, and collaborating effectively with partners.

Responsibilities:

• Design, develop, deploy, monitor, operate and maintain scalable streaming solutions that constitute our streaming platform
• Work with technologies such as Apache Kafka, Flink, Beam etc.  to enhance our data platform's streaming offerings
• Collaborate with cross-functional teams to integrate streaming solutions into the broader data architecture
• Analyze our internal systems and processes and locate areas for improvement/automation
• Collaborate with product org stakeholders to address and prioritize custom edge cases
• Help lead large projects from inception to positive execution
• Operate a real-time streaming platform with high availability and low downtime to meet the demands of latency-sensitive workloads.

Experience:

• 5+ years of experience with building, deploying and maintaining low latency, high throughput services
• 5+ years of experience building and developing large-scale infrastructure, distributed systems or networks, and/or experience with compute technologies
• 3+ years of software engineering industry experience and with distributed streaming solutions like Apache Flink, Beam, Spark streaming, Streaming SQL etc.
• Experience working with Kubernetes and container technologies (e.g. Docker, cri-o, etc)
• Familiar with a cloud-based environments such as AWS/GCP/Azure

Benefits:

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

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

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

The expected base pay range for this position in the Toronto area is CAD $136,000 - CAD $170,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

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

This job fills an existing vacancy.