Location: Romania; Serbia; Poland
Job Overview
The Technical Project Manager will be responsible for
end-to-end delivery of technology projects
, working closely with Engineering, Product, DevOps, Infrastructure, QA, Security and business stakeholders.
The ideal candidate should have strong technical understanding and be able to challenge estimates, identify dependencies, manage risks, drive engineering teams and communicate effectively with senior stakeholders.
Key Responsibilities
Project & Delivery Management
Own end-to-end delivery across multiple technical projects and workstreams.
Define project scope, milestones, deliverables, timelines and success criteria.
Create and maintain detailed project plans, delivery roadmaps and release plans.
Track progress against commitments and proactively manage delays.
Drive projects from requirements through development, UAT, deployment and production stabilization.
Ensure clear ownership and accountability across teams.
Technical Project Management
Work closely with Engineering, Architecture, DevOps, Infrastructure, QA and Security teams.
Understand technical requirements, architecture, APIs, integrations, databases, cloud infrastructure and deployment processes.
Review estimates and challenge assumptions where required.
Identify technical dependencies, risks and resource constraints early.
Coordinate resolution of technical blockers and cross-team dependencies.
Ensure technical decisions and requirements are properly documented.
Agile & Governance
Drive Sprint Planning, backlog refinement, daily tracking, sprint reviews and retrospectives.
Maintain project dashboards and delivery metrics.
Ensure accurate capacity planning and resource allocation.
Establish effective governance without creating unnecessary process overhead.
Maintain RAID logs, action trackers and decision logs.
Stakeholder Management
Act as the primary delivery interface between engineering teams, product/business stakeholders and leadership.
Provide clear and fact-based project status reporting.
Escalate risks and issues early with recommended actions.
Manage expectations around scope, timelines, resources and priorities.
Conduct regular stakeholder reviews and project governance meetings.
Resource Management
Plan resources based on actual capacity and project requirements.
Identify resource gaps and provide data-backed recommendations.
Optimize utilization of existing engineering resources before requesting additional headcount.
Coordinate cross-functional teams across India and international locations.
Quality, UAT & Release Management
Establish UAT plans, acceptance criteria and release readiness.
Track defects and ensure timely resolution of critical issues.
Coordinate release and deployment activities with DevOps/Infrastructure teams.
Ensure production readiness and post-release stabilization.
Technical Exposure
Candidates should have working knowledge of several of the following:
Web applications and SaaS platforms
Frontend / Backend architecture
APIs and third-party integrations
Microservices
Databases and data platforms
Cloud platforms — AWS / Azure / GCP
DevOps and CI/CD
Docker / Kubernetes
Identity & Access Management
Security and authentication
AI/ML platforms and infrastructure
Monitoring, logging and observability
Performance and scalability
QA automation and testing frameworks
Required Skills
8–12+ years of experience in technology/project/program delivery.
Strong experience managing software engineering projects.
Experience managing
Frontend, Backend, QA, DevOps and Infrastructure teams
.
Strong understanding of Agile/Scrum methodologies.
Proven experience managing multiple concurrent projects.
Strong planning, estimation and dependency-management skills.
Excellent stakeholder and communication skills.
Experience working with distributed/global teams.
Strong problem-solving and escalation-management capability.
Experience with Jira, Tempo, Confluence or similar project management tools.
Ability to manage delivery based on
capacity, priorities and measurable outcomes
.
Preferred
PMP / PRINCE2 / Scrum certification.
Experience with SaaS / B2B technology platforms.
Experience in Ecommerce, cloud, AI, data projects.
Experience managing teams of
20+ engineers across multiple disciplines
.
Location: Gurgaon, India
Job Overview
The Technical Project Manager will be responsible for
end-to-end delivery of technology projects
, working closely with Engineering, Product, DevOps, Infrastructure, QA, Security and business stakeholders.
The ideal candidate should have strong technical understanding and be able to challenge estimates, identify dependencies, manage risks, drive engineering teams and communicate effectively with senior stakeholders.
Key Responsibilities
Project & Delivery Management
Own end-to-end delivery across multiple technical projects and workstreams.
Define project scope, milestones, deliverables, timelines and success criteria.
Create and maintain detailed project plans, delivery roadmaps and release plans.
Track progress against commitments and proactively manage delays.
Drive projects from requirements through development, UAT, deployment and production stabilization.
Ensure clear ownership and accountability across teams.
Technical Project Management
Work closely with Engineering, Architecture, DevOps, Infrastructure, QA and Security teams.
Understand technical requirements, architecture, APIs, integrations, databases, cloud infrastructure and deployment processes.
Review estimates and challenge assumptions where required.
Identify technical dependencies, risks and resource constraints early.
Coordinate resolution of technical blockers and cross-team dependencies.
Ensure technical decisions and requirements are properly documented.
Agile & Governance
Drive Sprint Planning, backlog refinement, daily tracking, sprint reviews and retrospectives.
Maintain project dashboards and delivery metrics.
Ensure accurate capacity planning and resource allocation.
Establish effective governance without creating unnecessary process overhead.
Maintain RAID logs, action trackers and decision logs.
Stakeholder Management
Act as the primary delivery interface between engineering teams, product/business stakeholders and leadership.
Provide clear and fact-based project status reporting.
Escalate risks and issues early with recommended actions.
Manage expectations around scope, timelines, resources and priorities.
Conduct regular stakeholder reviews and project governance meetings.
Resource Management
Plan resources based on actual capacity and project requirements.
Identify resource gaps and provide data-backed recommendations.
Optimize utilization of existing engineering resources before requesting additional headcount.
Coordinate cross-functional teams across India and international locations.
Quality, UAT & Release Management
Establish UAT plans, acceptance criteria and release readiness.
Track defects and ensure timely resolution of critical issues.
Coordinate release and deployment activities with DevOps/Infrastructure teams.
Ensure production readiness and post-release stabilization.
Technical Exposure
Candidates should have working knowledge of several of the following:
Web applications and SaaS platforms
Frontend / Backend architecture
APIs and third-party integrations
Microservices
Databases and data platforms
Cloud platforms — AWS / Azure / GCP
DevOps and CI/CD
Docker / Kubernetes
Identity & Access Management
Security and authentication
AI/ML platforms and infrastructure
Monitoring, logging and observability
Performance and scalability
QA automation and testing frameworks
Required Skills
8–12+ years of experience in technology/project/program delivery.
Strong experience managing software engineering projects.
Experience managing
Frontend, Backend, QA, DevOps and Infrastructure teams
.
Strong understanding of Agile/Scrum methodologies.
Proven experience managing multiple concurrent projects.
Strong planning, estimation and dependency-management skills.
Excellent stakeholder and communication skills.
Experience working with distributed/global teams.
Strong problem-solving and escalation-management capability.
Experience with Jira, Tempo, Confluence or similar project management tools.
Ability to manage delivery based on
capacity, priorities and measurable outcomes
.
Preferred
PMP / PRINCE2 / Scrum certification.
Experience with SaaS / B2B technology platforms.
Experience in Ecommerce, cloud, AI, data projects.
Experience managing teams of
20+ engineers across multiple disciplines
.
Location: United States (Remote)
Workplace: Remote
ROLE SUMMARY
We’re looking for a Software Engineer II to join the Cloud Applications team. This team builds and operates critical parts of the Temporal Cloud customer experience, including Namespaces https://docs.temporal.io/cloud/namespaces, Audit Logs https://docs.temporal.io/cloud/audit-logs, and Export https://docs.temporal.io/cloud/export.
Namespaces are the core unit of isolation within Temporal Cloud, providing security boundaries, workflow management, unique identifiers, and dedicated gRPC endpoints. Audit Logs and Export give customers reliable access to the operational and compliance data they depend on.
We're looking for an engineer who is excited to learn these systems and contribute to their scalability, reliability, and developer experience. This is a hands-on role where you'll collaborate with experienced engineers, product managers and partner teams to design, build, and operate backend services and data pipelines while growing your distributed-systems expertise.
WHAT YOU'LL DO
- Design, implement, test, and ship well-scoped features and improvements for Temporal Cloud with support from teammates.
- Build and improve services that support namespace provisioning, configuration, scalability, and reliability.
- Develop data pipelines that process high-volume usage and operational data across multiple tenants.
- Make thoughtful engineering tradeoffs with guidance, balancing data freshness, query cost, tenant isolation, reliability, and operational complexity.
- Improve service operability through tests, instrumentation, dashboards, alerts, runbooks, and documentation.
- Participate in code reviews, design discussions, incident response, and production debugging.
- Collaborate across engineering, product, and customer-facing teams to understand requirements and deliver scoped projects safely.
- Improve developer and customer experience through automation, better tooling, and incremental product improvements.
WHAT YOU'LL BRING
- Experience building and operating production backend systems in a cloud environment.
- Proficiency in Go or another applicable backend or systems language, with the ability to ramp up in an existing codebase.
- Strong computer science fundamentals, including data structures, concurrency basics, testing, and debugging.
- Working knowledge of distributed-systems concepts such as reliability, fault tolerance, consistency, scaling, and failure handling.
- Experience with databases, data pipelines, messaging systems, or object storage.
- The ability to take a scoped problem, break it into smaller tasks, implement a solution end to end, and incorporate feedback.
- An operational mindset, including familiarity with logging, metrics, tracing, deployment, and production troubleshooting.
- Comfort collaborating across teams and communicating progress, risks, and technical tradeoffs clearly.
- A commitment to correctness, maintainability, and leaving systems better than you found them.
NICE TO HAVE
- 3+ years of work experience
- Experience with Go.
- Experience with PostgreSQL, Redshift, Kinesis, Firehose
- Experience with S3, Google Cloud Storage, Azure Blob Storage, or other object-storage systems.
- Familiarity with Kubernetes and cloud infrastructure.
- Experience supporting on-call rotations, investigating incidents, or improving production observability.
- Familiarity with Temporal concepts—or a strong interest in learning the platform.
TECHNOLOGY STACK
- Primary language: Go
- Data storage: PostgreSQL, Redshift, S3,Google Cloud Storage, Azure Blob Storage, ClickHouse
- Data processing: Kinesis, Firehose
- Infrastructure: Kubernetes
- Core framework: Temporal
You do not need experience with every technology in our stack. We value strong engineering fundamentals and the ability to learn unfamiliar systems.
Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity.
Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.
Location: Remote - Ontario, Canada (DNU)
Who we are
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to
hundreds of thousands of businesses
and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to
remote-first work
, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
.
Hiring and how we work
We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!
Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.
.
See yourself at Twilio
Join the team as Twilio’s next Staff Machine Learning Engineer on Twilio’s AI/ML Platform team.
About the job
We are actively recruiting for this role to fill an existing vacancy. This position is needed to build the foundational AI/ML capabilities and common platform tooling that power intelligent engagement experiences across Twilio. You will influence the design and evolution of our company-wide ML/AI Ops foundation, ensuring every AI capability incorporates rigorous offline and online evals to maintain exceptionally high quality.
You will drive improvements to managing LLM workloads across the company, while ensuring easy and compliant access to data for AI/ML exploration and product development. This role requires a builder mindset to bridge theoretical research, production-grade experimentation, and scalable, enterprise-quality software.
Responsibilities
In this role, you’ll:
Conduct deep-dive research into and implement state-of-the-art LLM inference and orchestration.
Identify opportunities to leverage small language via fine-tuning/distillation.
Build ML systems that hold up at Twilio scale.
Set standards and tooling for building evals across a range of AI/ML capabilities.
Rapidly acquire new technical skills and knowledge in a fast-paced, high-delivery environment.
Proactively leverage and integrate the latest AI development stacks to bypass boilerplate engineering and focus on core differentiation.
Qualifications
Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
*Required:
8+ years applied ML/AI experience with a track record of owning technically ambitious systems end to end rather than contributing to someone else's design.
Comfort operating in a 0-to-1 setting with ambiguous requirements and a strong bias for action.
Proficiency in Python programming language.
Experience building cloud-based services on AWS, GCP, or Azure, with high-volume data, streaming or real-time inference paths, and a range of data stores.
Strong fundamentals of statistical machine learning algorithms, transformer models, LLMs.
Extensive experience with ML Ops and LLM Ops patterns, including designing and implementing rigorous evaluation metrics for non-deterministic AI features at scale.
Strong communication skills and highly effective collaborator who works well with teammates.
Familiarity with AI-assisted development tools (e.g., Claude, Codex, GitHub Copilot, Cursor, etc.).
Desired:
Prior experience building evals for autonomous agents and large language models.
Prior experience building autonomous agents that handle multi-turn conversations and maintain long-term context/consistency.
Prior experience working in a globally distributed team.
Evidence of technical leadership/impact, such as contributions to open-source data/ML projects and/or published technical presentations, blog posts, papers, or research.
Location
This role will be remote and based in Ontario, British Columbia or Alberta, Canada.
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.
What We Offer
Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Based on role, employees may also be eligible for additional compensation and benefits, including but not limited to incentive programs, commissions, equity grants, health and wellness benefits, retirement contributions, and paid time off.
The estimated pay ranges for this role are as follows:
$160,320 - $200,400
Target Bonus Percentage 12.5%
The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call
Twilio Magic
. Additionally, we empower employees to build
positive change in their communities
by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for,
please consider other open positions.
.
Stay alert to recruitment fraud
We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @
twilio.com
email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.
.
Twilio is proud to be an equal opportunity employer.
We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.
Location: United States (Remote)
Workplace: Remote
About Teleport
Don't wait for the future of infrastructure. Be part of it.
Teleport is the AI Infrastructure Identity Company. We're solving one of the hardest problems in security: giving every human, machine, workload, and AI agent a cryptographically secured identity, improving engineering velocity while maintaining security. We make trusted computing simple. This gives you the freedom, power, and autonomy to build and innovate with confidence.
Remote-first and globally distributed, we work with companies like Nasdaq, DoorDash, and Elastic to secure infrastructure for an AI world.
As a member of the Teleport Customer Solutions Team, you will own the full post-sales lifecycle for a portfolio of strategic customers: implementation, technical support, ongoing business reviews, and identifying expansion opportunities. You will be responsible for implementing, supporting, evangelizing, and expanding Teleport at our top customers, and dedicated to proactively driving adoption so that they achieve the maximum value from all Teleport products and solutions.
This is a deeply technical role. Many of our customers run Teleport on Kubernetes, and you will be expected to operate comfortably at the cluster level: designing and deploying Teleport in customer environments, troubleshooting failing workloads, and debugging access, networking, and certificate issues alongside customer engineers.
You will work directly with customers to design solution architecture, deploy and configure Teleport hands-on, share implementation best practices, triage and debug technical issues, develop and maintain training programs, evangelize the solution to a wider customer organization, and plan and assist with enterprise-wide rollouts. You will act as a customer champion within Teleport and help prioritize product feedback by working with the Product team. As a Senior Technical Account Manager, you will be the primary lead for identifying and providing initial triage of technical blockers via shared chat, ticket, and meetings.
As our company grows and we launch new offerings, the requirements of this position may shift. You should be comfortable with change and have an interest in continually learning and advancing your skillset.
What you’ll bring
- Deep, hands-on Kubernetes experience. You have built clusters with kubeadm (not just managed services), configured RBAC and certificate-based user access, and debugged failing workloads, networking, and control-plane issues. CKA certification is strongly preferred; CKAD is a plus.
- Experience with cert-manager and TLS certificate management, Helm, and GitOps tooling (ArgoCD or Flux)
- Demonstrable experience with the following security principles and technologies: SSH, PKI, 2FA, SSO (SAML, OIDC), and RBAC
- Linux administration skills
- Hands-on experience with one of the major public cloud providers: AWS, GCP, or Azure (certifications are a plus)
- 8+ years of experience in customer-facing software onboarding, software services, solution architecting, or system administration roles
- Exceptional hands-on troubleshooting, testing, and debugging skills, with the tenacity to identify and resolve technical issues as they arise
- Outstanding soft skills and excellent verbal and written communication
- Project management experience and the ability to handle multiple clients simultaneously
What you’ll be doing
- Design solution architecture for Teleport in customer environments
- Deploy and configure Teleport in customer environments, including Kubernetes-based deployments, and communicate implementation best practices to the customer
- Act as the point person for technical issues, troubleshooting Kubernetes-based customer environments (cluster, networking, certificate, and access issues) and escalating high-complexity cases to Engineering
- Work closely with Sales and Product to identify customer needs tied to tangible upsell and cross-sell opportunities
- Plan and deliver Quarterly Business Reviews for customers, drive adoption within the customer organization, and plan and assist with enterprise-wide rollouts of Teleport
- Develop, maintain, and deliver customized training, and evangelize the solution to a wider customer organization
- Maintain strong working relationships with key client stakeholders and expand those relationships into other parts of the organization
- Document each customer’s business goals and challenges to align Teleport with the most value possible
- Serve as a subject matter expert on existing and upcoming Teleport solutions for customers and teammates, staying up to date on the latest releases
- Collaborate with Sales and Product to provide valuable feedback for product improvement
- Support our broader customer base seeking new solutions and best practice recommendations
Our interview process
Our interview process includes a hands-on technical assessment. You will build a kubeadm Kubernetes cluster, configure RBAC with certificate-based user access, deploy an application, present your design and its tradeoffs, and work through live Kubernetes troubleshooting scenarios. Candidates should be comfortable operating Kubernetes at this level without relying on managed-service abstractions. You are welcome to use AI tools for the take-home portion, with full disclosure of how they were used.
Why Teleport
You're joining a company where the problem is real, the team is small, and your work shows up directly in the product. We're not a big company, you won't get lost in a crowd. You'll have the freedom and autonomy to do what you're great at, alongside teammates who care about doing it right and want to see you succeed. The work is collaborative, there's real room to grow, and the mission is one worth showing up for.
Remote-first and globally distributed, we're genuinely passionate about what we're building.
The Benefits
At Teleport, we believe your career is more important than a list of perks. That's why we focus on making your day-to-day the best it can be — giving you the autonomy, access, and support to do the best work of your career.
- Extensive health coverage
- Annual expense budget
- Rest and recovery policies that maximize your ability to recharge
- Investment in your future with retirement savings plans
- Professional development opportunities
Teleport is an equal opportunity employer and does not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classifications protected by federal, state, or local law.
Candidate Privacy Notice: For information about our collection and processing of job applicant personal data for this position, please see our Job Applicant Privacy Policy and Notice of Collection at goteleport.com/legal/apply/job-applicant/ http://goteleport.com/legal/apply/job-applicant/
Location: Remote, New York, United States, AMER
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
We’re looking to hire a Senior Solutions Architect, Enterprise to join our Field Engineering team. As a Solutions Architect, you will be a trusted technical advisor to some of our largest and most strategic customers, helping them evaluate, adopt, and expand their use of dbt.
You’ll partner closely with Sales to understand customers’ technical and business priorities, design solutions using the dbt platform, and demonstrate measurable value throughout the evaluation process. You’ll work across the customer lifecycle—from technical discovery and evaluation through adoption and expansion—while partnering with Product, Engineering, and our technology partners to bring customer needs back into the business.
This is a full-time position based in the New York City metro area.
Technologies You’ll Use
SQL, dbt, cloud data warehouses and lakehouses including Snowflake, Databricks, and BigQuery, AWS, Azure, and GCP, modern data integration and orchestration technologies, and AI-assisted productivity tools.
What You’ll Do
Lead technical discovery with enterprise customers, connecting technical requirements to business outcomes and measurable success criteria
Design enterprise-grade data transformation and analytics architectures using dbt
Partner with Sales to communicate the technical and business value of the dbt platform
Lead customer evaluations and technical validation, including trials and proof-of-value engagements when appropriate
Build trusted relationships with technical practitioners, data leaders, and executive stakeholders
Guide customers through technical architecture, security, governance, and deployment considerations
Partner across the customer lifecycle to support successful adoption and identify opportunities for expansion
Bring customer and field insights to Product and Engineering to help influence product strategy and roadmap
Build strong relationships with technology and consulting partners, including Snowflake, Databricks, AWS, and other members of the modern data ecosystem
Contribute technical expertise, reusable best practices, and thought leadership to the broader Field Engineering organization and dbt community
Skills We’re Looking For
4+ years of experience in sales engineering, solutions architecture, consulting, or a similar customer-facing technical role within data, analytics, or BI
Strong technical foundation in SQL, data transformation, ETL/ELT, and data modeling
Strong understanding of modern cloud data warehouse, lake house, and analytics architectures
Ability to uncover and translate technical and business requirements into concrete solutions and measurable outcomes
Excellent written and verbal communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences
Ability to establish credibility and build trusted relationships with stakeholders ranging from data practitioners to senior executives
Ability to operate effectively in a fast-paced, evolving environment while collaborating across Sales, Product, Engineering, and Customer teams
Bonus Skills
Experience with dbt or analytics engineering
Experience with Snowflake, Databricks, BigQuery, or other modern cloud data platforms
Experience with data modeling methodologies such as dimensional modeling, Kimball, Data Vault, or 3NF
Experience with enterprise data integration or ETL platforms such as Informatica, Boomi, or Talend
Experience supporting complex enterprise technical evaluations, migrations, or transformation initiatives
Compensation & Benefits
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. For this role, on-target earnings (OTE) are split 80% base salary and 20% variable compensation. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
OTE (On Target Earning)
$219,463.15
—
$274,329.23 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Yerevan, Armenia
Workplace: hybrid
About Webb Fontaine
Founded in 2002, Webb Fontaine is a global trade technology company headquartered in Dubai, with projects spanning the Middle East, Africa, Asia, South America and beyond. We partner with governments worldwide, providing cutting-edge solutions to boost their revenue by streamlining trade and logistics operations across the entire trade spectrum.
At Webb Fontaine, we're crafting a legacy of innovation with a mission to transform the landscape of trade through technology. This wouldn’t be possible without our team of exceptional individuals who are at the core of our success.
Build the technology powering international trade.
We're looking for a Mid-Level Java Software Engineer to help build a modern, scalable platform supporting mission-critical Customs operations.
You'll work on real distributed systems, grow your architectural skills alongside experienced engineers, and use modern AI tools to deliver reliable, maintainable software.
Our Tech Stack
Java 17+, Spring Boot, Apache Kafka, PostgreSQL, Oracle, Elasticsearch, Amazon S3, Kubernetes, and AI coding assistants.
Key responsibilities
Build and maintain scalable, reliable backend services using Java, Spring Boot, and event-driven architectures.
Apply best practices in software design, testing, code reviews, and CI/CD.
Troubleshoot production issues and optimize application performance.
Use AI coding assistants and agents to accelerate development, generate tests, refactor code, and debug issues.
Review and validate AI-generated code for correctness, security, and maintainability.
Collaborate with the team.
Travel to our project offices when necessary.
Qualifications
3+ years of professional Java development experience, including Spring Boot.
Solid knowledge of SQL databases, Kafka, microservices, and event-driven architecture.
Understanding of JVM performance, multithreading, and concurrency.
Experience with automated testing, CI/CD, and containerized applications.
Practical experience with AI coding assistants such as Claude Code or Codex, with the ability to critically evaluate generated code.
Strong analytical and problem-solving skills.
Fluency in English .
Availability and willingness to travel to project offices are mandatory.
Nice-to-have qualifications
Experience with AWS, GCP, or Azure.
Kubernetes, Elasticsearch, or observability tools (Grafana, Prometheus).
Experience with Customs, trade, or government systems.
Benefits
Equal opportunity advocacy:
We promote equality, creating a diverse and inclusive environment.
Competitive compensation:
Enjoy a competitive salary that rewards your contributions.
Health and Wellness:
We provide comprehensive medical coverage.
Global collaboration:
Join a world-class team with a global presence and international clients.
Investment in you:
We invest in your growth and development, valuing our employees as top talent.
Work-life balance:
We support a healthy work-life balance for your well-being.
Training support:
We offer a comprehensive learning and development program.
We offer benefits tailored to each location, considering the specific regulations and conditions of each country. These will be discussed with candidates during the selection process.
Location: Arlington, VA, United States
Job Title
Cyber Virtualization Engineer
Why IDS?
IDS believes in resolving conflict, building innovative approaches to do so. Combining operational expertise with an intimate understanding of today’s greatest challenges, we bring our customers the solutions required for success in a complex and multidimensional world. IDS tailors solutions for a diverse range of government, military, nonprofit, and public-sector clients.
Locations
Arlington, VA
Shifts Available
Please note, candidates must be flexible. Shift times are general hours; some projects may require earlier or later reporting based on customer requirements.
Job Description
SITE 525 is seeking a highly skilled
Cyber
Virtualization Engineer
to support the development and sustainment of advanced cyber training environments. This role involves hands-on engineering of secure, scalable, and AI-enabled virtual ranges that emulate realistic, adversarial network conditions across IT and OT domains. These environments are used for cyber mission rehearsals, red/blue/gray team operations, and full-spectrum cybersecurity exercises. Must be willing to travel up to 25%. Responsible for designing, deploying, and maintaining advanced virtualized training environments that replicate realistic, large-scale, and adversarial network conditions. This position focuses on engineering and integrating dynamic, hypervisor-driven platforms and virtualization technologies to support cyber mission rehearsals, red/blue/gray team operations, and full-spectrum training exercises.
Key Duties
Engineer and implement scalable virtualized environments leveraging hypervisors (KVM, VMware, Hyper-V), virtual machines, containers, and software-defined networking across hybrid, edge, and cloud infrastructures.
Implement and manage virtualization stacks including private cloud platforms, hypervisor clusters, and orchestration frameworks for large-scale, multi-tenant environments.
Develop automation and orchestration tooling for provisioning, snapshotting, and lifecycle management of virtualized assets using Infrastructure-as-Code and CI/CD pipelines.
Integrate advanced traffic simulation capabilities (burst, steady-state, geo-distributed, AI/ML-driven) to emulate realistic user and system behaviors within virtual ranges.
Build and maintain frameworks and tooling for user and NPC emulation across virtualized environments to enhance operational realism, including threat emulation and defensive toolsets for network monitoring, incident detection, and response.
Implement observability pipelines for performance monitoring, traffic replay, autoscaling validation, and centralized logging in production-grade virtual infrastructures.
Administer and secure hypervisor platforms and virtual networking components, ensuring isolation, resiliency, and compliance for mission-critical environments.
Manage network and server infrastructure including Active Directory, identity management systems, and virtualized security controls.
Integrate third-party virtualization and orchestration tools to improve fidelity and scalability of training environments.
Support exercise operations including setup, execution, troubleshooting, and real-time scenario management for White Cell operations.
Collaborate with technical working groups and stakeholders to validate and enhance virtualization strategies for cyber training environments.
Apply knowledge of OT systems (SCADA, ICS, PLCs, IoT/IIoT) within virtualized contexts for realistic emulation.
Relevant Technologies & Tools:
Virtualization & Hypervisors:
VMware ESXi/vSphere, KVM/QEMU, Microsoft Hyper-V, Proxmox, OpenStack
Virtual Infrastructure Management:
VM lifecycle management, snapshotting, cloning, orchestration frameworks
Cloud & Containerization:
Private cloud platforms, AWS, Azure, Kubernetes (K8s), Docker, Podman, hybrid and edge deployments
Networking & SDN:
Virtual switches (vSwitch, vDS), software-defined networking, network segmentation, VPNs, dynamic Network-as-Code tools
Automation & IaC:
Infrastructure-as-Code (Terraform, Ansible, Packer,
Helm, Nomad
), CI/CD integration for infrastructure
Performance & Observability:
Metrics collection, centralized logging, traffic replay, load simulation, autoscaling validation
Security in Virtualized Environments:
Identity management, Active Directory (GPOs, tiered admin scripts), secure isolation of virtual ranges
Cyber Range Engineering:
Virtualized cyber training environments, adversarial network simulation, AI/ML-driven traffic emulation
Traffic Simulation & User Emulation:
Lariat, CMU GHOSTS, MITRE Caldera, Red Canary, Atomic Red Team, TRex, BreakingPoint, Locust, k6, custom Python/TypeScript scripts, AI-enabled agents
Compliance & Assurance:
NIST 800-series, ISO 27001, FedRAMP, CUI-compliant controls
Monitoring & Control Interfaces:
Custom dashboards for exercise operations, centralized scenario orchestration
Requirements
Bachelor’s or Master’s degree in Cybersecurity, Computer Engineering, or related field.
5+ years of experience in cyber engineering, network operations, or cyber range development.
Top Secret security clearance.
Proficiency in virtualization, containerization, and cloud technologies.
Experience with offensive and defensive cybersecurity tools and frameworks.
Familiarity with AI/ML integration in cyber environments.
Strong scripting and automation skills (e.g., Python, Bash, PowerShell).
Experience with infrastructure-as-code tools (e.g., Terraform, Ansible).
Knowledge of OT systems and protocols.
Security certifications (e.g., CISSP, CEH, OSCP) are a plus.
Compensation
Competitive Hourly Pay
Benefits
Questions?
Please reach out to
lolney@idsinternational.com
for additional questions or information.
Location: Montreal
DRW
is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.
DRW
is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
The Team:
As AI tools drive immense value across the firm, our organization faces a "Dual Mandate": providing low-friction access to the best frontier AI tools while strictly managing an exponentially growing cost curve. The unified
AI Platform Team
builds the centralized software, operations, and governance layers that safely route users to the most cost-effective models.
The Role:
We are looking for a Platform Engineer to help build and operationalize our AI tooling ecosystem. Working closely with the Team Lead and Senior/Staff SWE, you will be the hands-on integrator connecting external cloud AI providers, internal models, and end-user tools into our unified control plane.
Key Responsibilities:
Configure and manage multi-engine API gateways, implementing dynamic routing rules, rate limits, and fallback logic for LLM requests.
Execute the technical migration and integration of firm-wide tools into our centralized management plane to ensure all AI traffic is securely logged and governed.
Operate within our Shared Responsibility Model alongside the Cloud team to manage AI services deployed in enterprise landing zones (e.g., managing Azure OpenAI instances, model deployments, and API key generation).
Write robust Go and Python code to support the continuous sync loop for our usage dashboard
and implement automated "progressive friction" mechanisms, such as alerts.
Partner with the Inference Infrastructure pod to ensure our self-hosted, on-premise models are successfully registered and routable within our AI gateways.
Required Qualifications:
Strong backend programming experience, specifically in Go and/or Python.
Hands-on experience with API design, integration, and platform/cloud engineering concepts.
Familiarity with API gateways, proxy configuration, or distributed system networking.
A strong interest in the rapidly evolving LLM ecosystem and the technical mechanics of AI tooling.
A collaborative mindset with a focus on writing clean, maintainable code to replace prototype systems.
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at
https://drw.com/privacy-notice
.
California residents, please review the California Privacy Notice for information about certain legal rights at
https://drw.com/california-privacy-notice
.
#LI-VD1
Location: Gurugram, Haryana, India
NEOLYTIX
IT Support Senior Associate
Information Technology | Gurugram
FUNCTION
Information Technology
EXPERIENCE
2–4 Years
LOCATION
Gurugram (Onsite)
SHIFT
General Hours
About the Role
Neolytix is a US-headquartered healthcare BPO/KPO serving 280+ healthcare organizations across RCM, Credentialing and Provider Enrollment, Medical Coding, Virtual Medical Assistants, and Payer Analytics, with delivery centers in Gurugram and Manila. The IT Support Senior Associate provides first- and second-level technical assistance to onsite and remote users across the Gurugram office and global operations, ensuring smooth functioning of hardware, software, network infrastructure, and end-user systems.
Key Responsibilities
Provide Level 1 and Level 2 technical support for hardware, software, and peripheral issues.
Install, configure, and troubleshoot operating systems (Windows and macOS), standard applications, and email clients (Outlook, Exchange Online, and Google Workspace).
Manage user accounts, security permissions, and system access via Azure AD, Microsoft 365, Intune, and other enterprise platforms.
Maintain and update IT asset inventory with proper documentation and tagging.
Support and monitor network connectivity, Wi-Fi, VPN, and SharePoint performance with IT administrators.
Assist with setup and maintenance of video-conferencing and collaboration tools (Google Meet, Zoom, and Microsoft Teams).
Respond to service tickets and follow up to ensure timely resolution per SLA targets.
Collaborate with global IT teams for escalations, project rollouts, and security-compliance initiatives.
Educate users on IT best practices, system security, and productivity-tool usage.
What You Bring
Must-Have
Bachelor's degree in Information Technology, Computer Science, or a related field.
2 to 4 years in IT support or helpdesk roles within a corporate or BPO environment.
Proficiency in Windows, Microsoft 365, Exchange Online, SharePoint Online, Intune, and common enterprise IT platforms.
Basic understanding of networking (LAN/WAN/Wi-Fi), VPNs, and cloud-based systems.
Strong analytical, troubleshooting, and communication skills; able to manage multiple tasks in a fast-paced environment.
Nice-to-Have
Familiarity with service-desk tools such as Jira, Freshservice, or Zendesk.
Why Join Neolytix
Multi-Geography Exposure
Hands-on learning across enterprise platforms in a US healthcare tech environment.
Supportive Global Team
Direct access to a collaborative global IT team.
Certification Support
Ongoing professional development and certification opportunities.
Solid Benefits
Competitive compensation with health insurance and paid time off.
Location: Israel - Office - Tel Aviv
Who is Tenable?
Tenable® is the Exposure Management company. Over 40,000 organizations around the globe rely on Tenable to understand and reduce cyber risk. Our global employees support 65 percent of the Fortune 500, 50 percent of the Global 2000, and large government agencies. Come be part of our journey!
What makes Tenable such a great place to work?
Ask a member of our team and they’ll answer, “Our people!” We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When you’re part of our #OneTenable team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together!
Your Opportunity:
Tenable Research is seeking a Senior Security Researcher - Cloud Security to join our highly technical product research team working at the core of our cloud security platform.
This is a rare opportunity to join an elite research team and do work that directly shapes our product. In this role, you will define how vulnerabilities in cloud assets are understood, enriched, and remediated. As AI floods production with vulnerabilities, you design the model and system that keeps teams ahead of it.
You will define the foundation for how cloud vulnerabilities are treated across the platform, from reachability and exploitability to effective resolution. Your work will directly shape product direction and set the standard for what handling vulns at scale actually means.
We are looking for an exceptional researcher who can bridge cloud security, application security, and vulnerability management. You are curious, comfortable with ambiguity, and driven to deeply understand how vulnerabilities manifest and how they are fixed across cloud environments and code.
Your Role:
Own Vulnerability Management Across Tenable's Cloud Security Platform: Define cloud vulnerability management by grounding findings in how exposure is actually created and what resolving it means for organizations. Collaborate with engineering and product teams to introduce the signals and data that validate exploitability and drive remediation. Establish the standard for what separates an actionable finding from a theoretical one.
Research Exploitability and Risk Context: Research how the security context around a finding affects its real-world risk and what resolving it looks like. Define how these factors shape prioritization and remediation across the platform.
Lead Remediation Research: Define how vulnerabilities across cloud and code map to the fixes that resolve them, and drive AI innovation in how remediation is understood and delivered at scale. Work with engineering and product to build the capabilities that close the loop from detection to resolution.
Publish and Present: Share research through technical blogs, reports, and leading industry conferences.
What You'll Need:
5+ years of hands-on experience in security research
Familiarity with real-world vulnerability management: triage, prioritization, remediation, and the gap between CVSS and actual impact
Strong technical background in cloud platforms (AWS, Azure, GCP), including how vulnerabilities manifest across workloads, services, and code
Familiarity with application security tooling
Highly curious, self-driven, and comfortable working in ambiguous, fast-evolving problem spaces
Strong communication skills, both written and verbal, with the ability to clearly articulate complex technical findings
And Ideally:
Experience with exploit research, full-chain attack analysis, or CVE-to-fix resolution across complex dependency chains
Experience leveraging AI and agentic workflows for security research and analysis
Background in application security, secure code review, or supply chain security
Hands-on experience with SBOM tooling, container scanning, or software composition analysis pipelines
Track record of published research, conference talks, or technical blog posts
Experience working with product teams and delivering value to customers through the product
We’re committed to promoting Equal Employment Opportunity (EEO) at Tenable - through all equal employment opportunity laws and regulations at the international, federal, state and local levels. If you need a reasonable accommodation due to a disability during the application or recruiting process, please contact
Recruiting@Tenable.com
for further assistance.
Tenable Data Consent Statement
Tenable is committed to protecting the privacy and security of your personal data. Depending on your location, one or more of the following notices may apply to you:
General Applicant Privacy Notice
California Applicant Privacy Notice
EU/EEA/UK Applicant Privacy Notice
Location: Remote Canada
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
About the team
Affirm values security as being critical to the company's continued success. Our mission is to cultivate a culture of security at Affirm, enabling the company to succeed in building honest financial products. The Security Risk Management team is evolving beyond traditional governance, risk, and compliance; we are building an engineering driven program that designs, automates, and scales the controls, workflows, and tooling that protect Affirm and our customers.
The ideal candidate will design, develop, configure, and implement solutions to complex technical and business problems across the Security Third Party Program and the broader Security Risk Management program, with a focus on the third parties Affirm takes on when it enters new markets and acquires companies. They are equally comfortable shaping policy and shipping automation using modern tooling (Python, Cursor, Claude, and other agentic coding platforms) to replace manual GRC work with scalable, code-defined workflows. They will operate as a subject matter expert, interface with business, legal, corporate development, and engineering stakeholders, and play a key role in transforming Security Risk Management from a compliance oriented function into a security engineering discipline.
What You'll Do:
Lead and mature Affirm's Security Third Party Program, including the design, implementation, and continuous improvement of processes, controls, and operational workflows
Own pre-launch security due diligence for the third parties that support Affirm's entry into new international markets, such as local payment processors, banking and lending partners, credit bureaus, identity verification and KYC providers, collections agencies, and in-region hosting providers. Adapt Affirm's third party assessment standards to new markets, account for data residency, cross-border data transfer, and local regulatory requirements
Support Finance - Strategy & Development, Legal, and Security leadership on M&A security due diligence: assess an acquisition target's security program, control environment, incident history, data handling, and third party dependencies, and turn findings into risk ratings and deal recommendations
Lead post-close integration of an acquired company's vendor portfolio into Affirm's third party program, including inventory, risk tiering, reassessment, and tracking remediation and transition service dependencies to closure
Design and operate workflow orchestration and integrations across systems like ticketing, GRC platforms, vendor management tools, identity providers, and cloud control planes
Partner closely with Procurement, Legal, Engineering, IT, Compliance, Privacy, Corporate Development, international launch teams, and business stakeholders to assess and manage security risk across third party relationships
Translate ambiguous business and security requirements into practical, scalable program solutions and decision frameworks
Identify opportunities to automate manual processes across the program and prototype solutions yourself rather than waiting on an engineering backlog
Drive program operational excellence by establishing repeatable processes, service-level expectations, metrics, and reporting for third party security risk management
Evaluate third party security controls, cloud architectures (AWS/GCP), integration patterns, and risk posture, and provide clear recommendations to stakeholders and leadership
Conduct threat modeling assessments on high risk integrations and partner with Security SMEs for deeper diligence
Manage and prioritize a portfolio of complex security risk reviews and initiatives simultaneously, including confidential deal work on compressed timelines, balancing business enablement with risk reduction
Partner with technical teams to implement or optimize systems and tools that support program automation and workflow orchestration
Develop dashboards, reporting mechanisms, and program insights (SQL, BI tools, or custom tooling) that improve visibility into risk trends, bottlenecks, and program performance
Act as a trusted advisor and SME on third party security risk management, helping stakeholders make informed, risk based decisions
Contribute to the broader Security Risk Management strategy by identifying opportunities to scale, simplify, and strengthen security governance processes through engineering
What We Look For:
5+ years of experience in Information Security, Risk Management, Engineering and/or relevant roles
Experience performing security due diligence on M&A targets, or running third party risk assessments across multiple countries or regulatory regimes
Hands-on experience using agentic coding tools (Cursor, Claude Code, Copilot, etc.) and a working knowledge of Python; you don't need to be a software engineer, but you should be fluent enough to read, modify, and run scripts, build automations, and ship small tools end-to-end
Familiarity with cloud environments (AWS, GCP, or Azure): IAM, logging, common services, and the security risks/controls that apply to cloud-deployed third parties and integrations
Excellent written and verbal communications skills
Experience engineering solutions via Python, Claude, Cursor or other agentic coding tooling
Experience with industry based information security & control frameworks (NIST Cybersecurity Framework, ISO 2700x, SOC 1 & 2 (SSAE 18), ISAE 3402, PCI DSS, NIST 800-53, CIS Critical Security Controls, etc.)
BA or BS degree in Information Security, Cyber Security, Computer Science or related field or commensurate experience
Attention to detail and experience with security practices and security tooling
Demonstrated ability to drive projects towards completion
Ability to understand and communicate technical issues to non-technical teams and leadership
Sound judgment and discretion handling confidential, deal-sensitive information
Familiarity with international data protection and third party or operational resilience requirements (e.g., GDPR, EU DORA, etc.) is a plus
Professional certification in Information Security or Risk Management (such as CISSP, CISM, CISA, CRISC, etc.) is a plus
Base Pay Grade
- L
Equity Grade
- 5
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).
CAN base pay range per year:
CAD $128,000 - $188,000
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
Location - Remote Canada
This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan.
#LI-Remote
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.
For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
By clicking "Submit Application," you acknowledge that you have read Affirm's
Global Candidate Privacy Notice
and consent to the use of your personal information as described.
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