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We’re looking for a Senior DataOps Engineer to help operate, scale, and improve the data platforms that support Oportun’s analytics, engineering, and business teams. This role will focus on Databricks, AWS, data pipelines, databases, observability, automation, and production support.

Responsibilities: — Own reliability for applications and AI agents by setting up logs, metrics, traces, and actionable alerts. — Lead incident diagnosis and conduct post-mortems. — Maintain runbooks and ensure automated rollback procedures are tested. — Automate operational tasks and utilize AI for log analysis and root-cause investigation. — Define clear Service Level Objectives (SLOs). Conditions: — Remote work is allowed but only within Europe; candidates outside Europe are not eligible. The role requires working with Terraform, CI/CD pipelines, Python, and Go technologies.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, TX Dallas, TX Raleigh, NC About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. What you will do as a Customer Engineer The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise commerical clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey. Key Responsibilities Technical Validation: Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure - DNS, CDN, Zero Trust, Network Security, Workers - to fit-for-purpose Cloudflare architectures and bespoke solutions. . Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, and reliability challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional services) being an integral part of all proposals. Customer Adoption & Value Realization: Provide oversight to technical onboarding and implementation, but not execute the implementation, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer’s environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance), and act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices.  Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk. Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives. Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, AI control layers, security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes. AI Orchestration & Workflow Automation: Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, basic telemetry monitoring, and internal/external documentation, reclaiming your time for strategic customer advisory. Education & Enablement: Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical baseline across the organization. Minimum Qualifications Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services,  Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling). Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly. Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives. Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles. Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy. Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least four of the technical areas below: Internet fundamentals: Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS. Security: Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts. Performance: Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3. AI Proficiency: Familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation to augment everyday CE workflows. Coding/Scripting: Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions. Developer Platform Fluency: Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments. Strongly Preferred Qualifications (The "Good-to-Haves") Technical Enablement: Track record of creating and delivering technical enablement - workshops, code samples, documentation, or developer onboarding - that accelerates customer adoption of complex platforms. Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls. Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2. Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth. Education Undergraduate or graduate degree in Computer Science, Engineering, or a related field. Travel This role may require travel up to 20–50% to attend customer meetings, conferences, industry events, and in-person team collaboration. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Remote Workplace: Remote WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started.   ROLE OVERVIEW We're hiring a Sr. Infrastructure Engineer to own the shared layer that every Harvey IT system runs on. You'll join Core IT Engineering & Infrastructure, reporting to Dave Vega, Director of IT, alongside engineers who own identity and collaboration, Microsoft platforms, networking, and client platforms. Harvey is cloud-first. We run no servers or data centers of our own. Our IT infrastructure is cloud tenants, SaaS configuration, office networks across a growing global footprint, and the automation that ties them together. Today that cross-cutting work is done on the side by each platform owner. This role makes it someone's primary job, so it gets built once, done well, and doesn't break quietly. WHAT YOU'LL DO You'll own the shared infrastructure, automation and reliability work that cuts across every IT platform. - IT cloud accounts and tenants. Own access, guardrails and cost for the cloud accounts IT runs (AWS, Azure, GCP projects for IT tooling). Be the BizTech engineering partner to Security and Infrastructure on tenant-level changes, such as cloud migrations that touch Entra and M365. - Infrastructure as code for IT. Build and run the Git repos, CI pipelines and review process for IT configuration (Okta, Jamf, Intune, Google Workspace). Platform owners keep owning their config. You own the framework they all use. - IT automation and provisioning. Own the automation behind identity lifecycle and IT workflows: SCIM and provisioning flows, onboarding and offboarding orchestration across systems, and IT workflows in Serval. - Monitoring, backup and resilience. Set up health checks and alerting for critical IT systems and integrations, config drift detection, SaaS backup (Google, Slack, M365) and tested recovery runbooks. - Scripts and internal tooling. Take over the scripts and admin utilities that live on individual laptops today. Put them in source control, document them and keep them running. - Office site standard. Work with Network and AV/Media teams to define the repeatable technical template for new offices: configuration, monitoring and documentation each site copies. Network and AV build execution stays with their owners. - Engineering practices. Raise the bar on change control, documentation and runbooks across the pillar, so primaries and backups can cover for each other. - Certificates, domains and DNS. Track and renew every certificate IT depends on (Apple Push, SAML signing, SSL, Wi-Fi/802.1X). Work with Network and CorpSec teams to own and manage DNS NS solutions for IT. Build expiry monitoring to avoid surprises. WHAT YOU HAVE - 6+ years in corporate IT engineering, systems engineering or SRE, with at least 2 years owning shared infrastructure or automation for a SaaS-first company. - Strong infrastructure-as-code experience. You've managed real systems with Terraform or similar, in Git, with pull-request review and CI. - Solid scripting in Python plus one of Bash, PowerShell or Go. You write code other people can read and maintain. - Hands-on with identity and provisioning: SAML, OIDC, SCIM and lifecycle automation in Okta or Entra. - Working knowledge of at least one major cloud (AWS, Azure or GCP): IAM, accounts and cost basics. - Comfort with DNS, TLS and certificate management, and basic enterprise networking. - You've built monitoring and alerting that people actually trust, and written runbooks that someone else used successfully. - Clear written communication. You can explain a change, its risk and its rollback to non-engineers. BONUS POINTS - Terraform providers for Okta, Google Workspace or Jamf, or config-as-code tools for Intune - Serval or similar IT automation platforms - SaaS backup and recovery tools for Google Workspace, Slack or M365 - Multi-site office rollouts across regions, including working with local vendors and ISPs - Experience at a fast-growing company where company headcount grew faster than the IT team COMPENSATION $153,000 - $210,500 USD   DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.   #LI-RB1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW We're hiring a Sr. Infrastructure Engineer to own the shared layer that every Harvey IT system runs on. You'll join Core IT Engineering & Infrastructure, reporting to Dave Vega, Director of IT, alongside engineers who own identity and collaboration, Microsoft platforms, networking, and client platforms. Harvey is cloud-first. We run no servers or data centers of our own. Our IT infrastructure is cloud tenants, SaaS configuration, office networks across a growing global footprint, and the automation that ties them together. Today that cross-cutting work is done on the side by each platform owner. This role makes it someone's primary job, so it gets built once, done well, and doesn't break quietly. WHAT YOU'LL DO You'll own the shared infrastructure, automation and reliability work that cuts across every IT platform. - IT cloud accounts and tenants. Own access, guardrails and cost for the cloud accounts IT runs (AWS, Azure, GCP projects for IT tooling). Be the BizTech engineering partner to Security and Infrastructure on tenant-level changes, such as cloud migrations that touch Entra and M365. - Infrastructure as code for IT. Build and run the Git repos, CI pipelines and review process for IT configuration (Okta, Jamf, Intune, Google Workspace). Platform owners keep owning their config. You own the framework they all use. - IT automation and provisioning. Own the automation behind identity lifecycle and IT workflows: SCIM and provisioning flows, onboarding and offboarding orchestration across systems, and IT workflows in Serval. - Monitoring, backup and resilience. Set up health checks and alerting for critical IT systems and integrations, config drift detection, SaaS backup (Google, Slack, M365) and tested recovery runbooks. - Scripts and internal tooling. Take over the scripts and admin utilities that live on individual laptops today. Put them in source control, document them and keep them running. - Office site standard. Work with Network and AV/Media teams to define the repeatable technical template for new offices: configuration, monitoring and documentation each site copies. Network and AV build execution stays with their owners. - Engineering practices. Raise the bar on change control, documentation and runbooks across the pillar, so primaries and backups can cover for each other. - Certificates, domains and DNS. Track and renew every certificate IT depends on (Apple Push, SAML signing, SSL, Wi-Fi/802.1X). Work with Network and CorpSec teams to own and manage DNS NS solutions for IT. Build expiry monitoring to avoid surprises. WHAT YOU HAVE - 6+ years in corporate IT engineering, systems engineering or SRE, with at least 2 years owning shared infrastructure or automation for a SaaS-first company. - Strong infrastructure-as-code experience. You've managed real systems with Terraform or similar, in Git, with pull-request review and CI. - Solid scripting in Python plus one of Bash, PowerShell or Go. You write code other people can read and maintain. - Hands-on with identity and provisioning: SAML, OIDC, SCIM and lifecycle automation in Okta or Entra. - Working knowledge of at least one major cloud (AWS, Azure or GCP): IAM, accounts and cost basics. - Comfort with DNS, TLS and certificate management, and basic enterprise networking. - You've built monitoring and alerting that people actually trust, and written runbooks that someone else used successfully. - Clear written communication. You can explain a change, its risk and its rollback to non-engineers. BONUS POINTS - Terraform providers for Okta, Google Workspace or Jamf, or config-as-code tools for Intune - Serval or similar IT automation platforms - SaaS backup and recovery tools for Google Workspace, Slack or M365 - Multi-site office rollouts across regions, including working with local vendors and ISPs - Experience at a fast-growing company where company headcount grew faster than the IT team COMPENSATION $153,000 - $210,500 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-RB1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Tangem is looking for a Senior DevSecOps Engineer to strengthen CI/CD and software supply-chain security through automation and AI-powered code review.

Location: San Francisco, CA; Bellevue, Wa Workplace: Hybrid About Niantic Spatial We are building for the >80% of economic activity that happens beyond the reach of screens. AI has learned from the text, images and video online, but it still lacks an accurate understanding of physical space. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. About the Role You’ll join a small infrastructure team with broad, shared ownership — the engineers who keep Niantic Spatial running. The team covers the cloud platform, the developer tooling every engineer depends on, and the edge services our customers’ requests pass through. You’ll work across SRE, infrastructure, and developer platform alongside teammates who know the stack well, and you’ll grow into owning parts of it yourself. Because every engineer here builds on what this team provides, your work will also shape how the whole engineering org builds, ships, and operates. What You'll Do - Cloud and SRE: Build and maintain cloud infrastructure as code, and help improve reliability through monitoring, alerting, and service-level objectives. - Developer Platform: Help run our source control, CI/CD pipelines, and build infrastructure so engineers can ship quickly and safely. - Production Operations: Share on-call, take part in incident response and follow-up, and automate away repetitive operational work. - Edge and Delivery: Help run the edge API gateway, CDN, and authentication and authorization systems with the rest of the team. - Compute and GPU Management: Help provision and monitor compute and GPU capacity across teams. - AI-Assisted Operations: Use AI tools to help build, automate, and maintain our infrastructure, and help shape how the team uses them. What You'll Bring - Years of Experience: 3+ years in infrastructure, SRE, DevOps, or platform engineering. - Education: Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. - Infrastructure as Code: Experience managing infrastructure as code with tools such as Terraform, Pulumi, or similar. - Cloud: Hands-on experience with GCP, AWS, or another major cloud provider in production. - CI/CD: Experience building and maintaining CI/CD pipelines in GitLab, GitHub Actions, or similar. - Containers: Production experience with containers and container orchestration, such as Kubernetes. - Core Technical Skills: Proficiency in at least one programming language such as Python, Go, TypeScript, or C++, plus shell scripting and Linux systems. - AI in Your Workflow: Comfort using AI-assisted tools in your engineering work, or a strong interest in building that habit. We’ll help you ramp up on how we use AI here. Nice to Have - Familiarity with API gateways, load balancers, or CDNs. - Familiarity with modern authentication and authorization, such as OAuth 2.0, OIDC, or cloud IAM. - Experience with GPU workloads or ML infrastructure. - Experience with message queuing systems. Location & Work Model This role is based in our San Francisco or Sunnyvale, CA office, or in Bellevue, WA. We work in a high-collaboration environment and ask team members to be on-site a minimum of 3 days per week. Compensation & Benefits The base salary range for this position is $171,000 - $230,000 for Bay Area candidates and $162,500 - $218,500 for Seattle/Bellevue candidates. Actual salary is based on assessed skills, experience, and location. This role is also eligible for equity, bonus, and benefits. Your recruiter can answer questions about total compensation during the hiring process. Inclusive Application We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed — you may be exactly who we're looking for. Equal Opportunity Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. Candidate Privacy I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/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. Affirm's engineering team is building a large-scale, highly-available, and global infrastructure that is shared across multiple financial products. Ensuring that our infrastructure is accessible to all engineers is critical to the success of the business. We pride ourselves on our culture across engineering of engaging in thorough technical design review, operational excellence, and capable incident response and analysis. The Compute Platform team owns the EKS foundation that Affirm's products run on, from cluster provisioning and lifecycle through the safety standards that keep thousands of workloads reliable at scale. Affirm operates 90+ EKS clusters across environments and regions, and this team is responsible for making that fleet standardized, automated, observable, and self-healing, while establishing and enforcing the workload configuration standards that protect availability. Our mission is to provide a secure, reliable, and scalable Kubernetes platform that lets infrastructure and application teams deploy and operate with confidence and minimal operational friction. What you’ll do As a member of the Compute Platform organization, you will collaborate with other teams - including Product, Infrastructure, Traffic, Cost & Capacity Engineering to: Architect and evolve Affirm's EKS platform, driving strategy across cluster lifecycle, node management, and shared cluster components Lead the technical direction for cluster provisioning, upgrades, and teardown through standardized IaC (Terraform, Spacelift) and self-service workflows Own the reliability of core shared components across the fleet (Karpenter, CoreDNS, VPC CNI, Kube Proxy, Metrics Server, etc) and the CI/CD pipeline that ships them consistently Define and enforce EKS workload safety standards covering resource configuration, workload isolation and blast radius, disruption tolerance (PDBs), Karpenter consolidation strategies, etc Build the enforcement and automation path that moves each standard from research and white-glove onboarding through broad adoption to policy-enforced defaults for new workloads Establish the observability, baseline audits, and reporting needed to identify hot spots and measure risk mitigation over time Partner with cluster-user teams (checkout, batch, ML, analytics, DevProd, etc) to understand workload needs and shape the platform accordingly Drive cost and capacity strategy across node scaling, bin packing, and EC2 instance selection Mentor engineers across the Compute Platform teams and set the bar for operational excellence Participate in the on-call rotation, triage and catalogue runtime K8s issues, and collaborate with SRE on production incidents What we look for Deep EKS and Kubernetes internals expertise, including cluster upgrades, node lifecycle, scheduling, and autoscaling (Karpenter, Cluster Autoscaler) Demonstrated experience automating Kubernetes operations at fleet scale, from cluster provisioning, upgrades, and node lifecycle to self-healing remediation and policy-driven enforcement, replacing manual toil with auditable, self-service workflows Strong grasp of workload reliability patterns: resource tuning, probes, PDBs, topology and isolation constraints Experience designing and enforcing platform standards through policy (admission control, OPA/Gatekeeper or equivalent) and automated frameworks Infrastructure as Code fluency with Terraform and a GitOps or pipeline-driven delivery model (ArgoCD, kube-applier, or similar) Observability instincts: defining SLOs, building metrics, logs, and alerting coverage, and running data-driven baseline audits Cross-functional collaboration skills with platform, product, SRE, and capacity teams Demonstrated mentorship and technical leadership across teams Drive to track emerging Kubernetes community best practices and adapt them to Affirm's needs Qualifications 10+ years in software or infrastructure engineering with proven delivery of complex platform solutions 6+ years hands-on operating production Kubernetes at scale, ideally EKS on AWS Strong cloud-native architecture experience on AWS (EC2, VPC, IAM, EKS) Experience with Infrastructure-as-Code (Terraform, Spacelift a plus) and GitOps-style deployment pipelines Expert-level proficiency in Go or Python and a proven track record building production-grade Kubernetes controllers, operators, and platform tooling that other engineering teams depend on Track record designing and enforcing standards across many teams without becoming a bottleneck Exceptional problem-solving and systems-thinking skills Demonstrated leadership and cross-functional influence Excellent communication skills Base Pay Grade - R Equity Grade - 9 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 equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) CAN base pay range per year: $ 209,000 - 269,000 #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.

Location: Remote US 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. Affirm's engineering team is building a large-scale, highly-available, and global infrastructure that is shared across multiple financial products. Ensuring that our infrastructure is accessible to all engineers is critical to the success of the business. We pride ourselves on our culture across engineering of engaging in thorough technical design review, operational excellence, and capable incident response and analysis. The Compute Platform team owns the EKS foundation that Affirm's products run on, from cluster provisioning and lifecycle through the safety standards that keep thousands of workloads reliable at scale. Affirm operates 90+ EKS clusters across environments and regions, and this team is responsible for making that fleet standardized, automated, observable, and self-healing, while establishing and enforcing the workload configuration standards that protect availability. Our mission is to provide a secure, reliable, and scalable Kubernetes platform that lets infrastructure and application teams deploy and operate with confidence and minimal operational friction. What you’ll do As a member of the Compute Platform organization, you will collaborate with other teams - including Product, Infrastructure, Traffic, Cost & Capacity Engineering to: Architect and evolve Affirm's EKS platform, driving strategy across cluster lifecycle, node management, and shared cluster components Lead the technical direction for cluster provisioning, upgrades, and teardown through standardized IaC (Terraform, Spacelift) and self-service workflows Own the reliability of core shared components across the fleet (Karpenter, CoreDNS, VPC CNI, Kube Proxy, Metrics Server, etc) and the CI/CD pipeline that ships them consistently Define and enforce EKS workload safety standards covering resource configuration, workload isolation and blast radius, disruption tolerance (PDBs), Karpenter consolidation strategies, etc Build the enforcement and automation path that moves each standard from research and white-glove onboarding through broad adoption to policy-enforced defaults for new workloads Establish the observability, baseline audits, and reporting needed to identify hot spots and measure risk mitigation over time Partner with cluster-user teams (checkout, batch, ML, analytics, DevProd, etc) to understand workload needs and shape the platform accordingly Drive cost and capacity strategy across node scaling, bin packing, and EC2 instance selection Mentor engineers across the Compute Platform teams and set the bar for operational excellence Participate in the on-call rotation, triage and catalogue runtime K8s issues, and collaborate with SRE on production incidents What we look for Deep EKS and Kubernetes internals expertise, including cluster upgrades, node lifecycle, scheduling, and autoscaling (Karpenter, Cluster Autoscaler) Demonstrated experience automating Kubernetes operations at fleet scale, from cluster provisioning, upgrades, and node lifecycle to self-healing remediation and policy-driven enforcement, replacing manual toil with auditable, self-service workflows Strong grasp of workload reliability patterns: resource tuning, probes, PDBs, topology and isolation constraints Experience designing and enforcing platform standards through policy (admission control, OPA/Gatekeeper or equivalent) and automated frameworks Infrastructure as Code fluency with Terraform and a GitOps or pipeline-driven delivery model (ArgoCD, kube-applier, or similar) Observability instincts: defining SLOs, building metrics, logs, and alerting coverage, and running data-driven baseline audits Cross-functional collaboration skills with platform, product, SRE, and capacity teams Demonstrated mentorship and technical leadership across teams Drive to track emerging Kubernetes community best practices and adapt them to Affirm's needs Qualifications 10+ years in software or infrastructure engineering with proven delivery of complex platform solutions 6+ years hands-on operating production Kubernetes at scale, ideally EKS on AWS Strong cloud-native architecture experience on AWS (EC2, VPC, IAM, EKS) Experience with Infrastructure-as-Code (Terraform, Spacelift a plus) and GitOps-style deployment pipelines Expert-level proficiency in Go or Python and a proven track record building production-grade Kubernetes controllers, operators, and platform tooling that other engineering teams depend on Track record designing and enforcing standards across many teams without becoming a bottleneck Exceptional problem-solving and systems-thinking skills Demonstrated leadership and cross-functional influence Excellent communication skills Base Pay Grade - R Equity Grade - 15 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 equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT) per year: $265,000 - $325,000 USA base pay range (all other U.S. states) per year: $236,000 - $296,000 #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.

Задачи: — Развёртывать и сопровождать приложения совместно с командами разработки. — Поддерживать CI/CD‑процессы с использованием GitLab, Jenkins, Ansible, Docker Swarm, Kubernetes, Helm, Terraform, Yandex Cloud. — Управлять секретами и доступом через HashiCorp Vault, RBAC в Kubernetes и GitLab. — Настраивать политики безопасности в Kubernetes (PodSecurity, Network Policies, OPA/Gatekeeper). — Развивать инструменты контроля безопасности цепочки поставок ПО. — Участвовать в реагировании на инциденты информационной безопасности и R&D‑задачах. — Диагностировать проблемы, работать с системами мониторинга и диагностики (Zabbix, ELK, Mimir, Grafana, Loki). — Автоматизировать процессы сопровождения и поддерживать документацию. Требования: — Уверенные знания Linux, включая Astra Linux, в области администрирования и безопасности. — Высокий уровень владения Bash. — Понимание принципов авторизации и аутентификации. — Опыт работы с реляционными и нереляционными базами данных. — Опыт работы с GitLab CI. — Знание сетевых технологий (TCP/IP, модель OSI), принципов безопасности сетей, виртуализации и контейнеризации. — Понимание современных угроз информационной безопасности, методов и средств защиты информации. — Знание методологии оценки уязвимостей (CVSS, EPSS) и их классификации (CWE). — Опыт организации процессов разработки ПО (git, ветвление кода, CI/CD). — Опыт работы с Kafka и RabbitMQ. — Опыт работы с системами сбора логов (EFK/ELK, Grafana Loki) и мониторинга (Prometheus, Grafana). Плюсом: — Знание Golang или Python для автоматизации. — Опыт работы с Openstack. — Опыт работы в условиях импортозамещения.

в задачи входит разработка и поддержка DAG’ов в Apache Airflow, настройка CDC‑процессов для передачи данных в аналитическое хранилище, создание и оптимизация витрин данных на SQL, реализация трансформаций на Apache Flink, контроль качества данных инструментами Data Quality и оптимизация их обработки.

Location: New Jersey; New York; Connecticut Workplace: remote About the role: At Provectus, you don’t prototype in a sandbox and hand a client a slide deck. You embed inside a bank, an insurer, or a health system, learn the work, and ship a Claude + AWS system into their real, regulated production — then you watch the business number move. We’re an Anthropic and AWS Partner with 150+ certified architects. That means the newest models, real budgets, and problems that matter — without the layers, politics, and years-to-impact of a hundred-thousand-person firm. 350+ builders, 100+ customers in production, founder-led since 2010, offices across North America, LATAM, and EMEA. Why Provectus Frontier access — Anthropic Preferred Partner: newest Claude models, real budgets, real problems. Real tasks (not scope), real deployment. You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive. Embedded, not engaged. You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Embedded is not staff-augmented. Autonomous. You own the work from framing through to production, visible to clients and founders.  You own the method; nobody hands you a ticket. Your experience stays portable. Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy-maintenance grind, not a single stack. Craft & growth — build beside senior FDEs on a Claude-certified team; a real platform (talks, OSS) to grow your name. We give you a stage: Claude certification, conference talks, open-source contributions, published work under your own name. What we look for: Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way. Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly. Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why. Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Cloud-native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits. Pre-sales experience. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room. Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job. Hands-on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses). Nice to have Containers and orchestration (Kubernetes/ECS) and CI/CD in production. IaC depth: AWS CDK, CloudFormation, Terraform. Open-source contributions or public writing on applied AI. What you’ll do: Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive — and you are the one who builds it. Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously. You won’t start from zero. Provectus builds industry Blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it. Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare. Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice. What We Offer: Full-time. On-site visits to client’s facilities and our office in NYC 1/week Unlimited Vacation policy. Generous health, vision, and dental insurance. 401(K) matching plan. Base salary $200-250k + bonuses; OTE up to $300k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data. We’re real: A person reads your application. We filter out AI-generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team. We may ask for a quick ID verification. Fraudulent applications are common, and this protects real candidates. You’ll meet the people you’d work with. We host AI engineering events in New York and San Francisco. We'd be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Co-Founder & CEO. How we hire: Recruitment interview. Tech interview with our FDE (30 min). A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked. Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows. 4. Soft skills interview. 5. Offer discussion.

Location: Remote Workplace: Remote More than 30,000 subscription apps run on Adapty: $5B in revenue tracked, 4B users served, 80B API calls a month. That's one of the richest datasets in the app economy. Our mission is simple: make apps rich. We are a team of 210+ passionate, product-driven people who love solving big challenges. Backed by top investors like 500 Startups and Surface Ventures, we are building one of mobile's fastest-growing SaaS companies and aiming for number one worldwide. Why this role matters Adapty runs on infrastructure we own and operate ourselves: a Proxmox and Ceph platform across OVH, Hetzner and bare metal, with parts of the stack in AWS and GCP. That platform processes billions of dollars of subscription volume a year, and today too much of it depends on a single engineer. You are joining to take that platform over: fully owned, fully described in code, and cheap to run at scale. In your first months you will own Proxmox and Ceph end to end, drive resource rightsizing, and lead the split of our development workloads into a separate cluster. What you'll do - Own our Proxmox and Ceph platform end to end — capacity, upgrades, performance and incident response - Run infrastructure across OVH, Hetzner and bare metal, alongside workloads in AWS and GCP - Drive resource rightsizing: find where we overpay, size it correctly, and prove the saving in the bills - Lead the separation of development workloads into a dedicated cluster, without downtime for production - Keep everything as code — Terraform, Ansible, ArgoCD and GitLab CI, with no manual changes in production - Own reliability: on-call, incident response, root cause analysis and the runbooks that follow - Support the data layer our product runs on — PostgreSQL, ClickHouse, Aerospike About you - 10+ years working with infrastructure and physical hardware, not only managed cloud - 5+ years running Kubernetes and cloud platforms in production - Hands-on with bare metal and providers like OVH and Hetzner, plus AWS and/or GCP - Strong with Terraform, Ansible, ArgoCD and GitLab CI — you describe infrastructure in code by default - Real FinOps experience: you can name what infrastructure cost before and after you touched it - You take problems all the way to the root cause and to the fix, including outside your formal scope - You say things directly — risks and bad news arrive early, not after the incident Nice to have - Production experience with Proxmox and Ceph specifically - PostgreSQL, ClickHouse or Aerospike at scale - Experience splitting shared environments into isolated clusters - Building observability and on-call practice from scratch - High-load B2B SaaS background WHAT'S IN IT FOR YOU - Strong product with industry-best metrics. Adapty is among the top 5% fastest-growing SaaS companies. - Exceptional compensation directly tied to your results. - Direct communication and ownership. No bureaucracy, no politics, just impact. - Flexible remote work. Join us from anywhere or work onsite in our Belgrade or London offices. - Professional support. Language learning, sports, health insurance, laptop coverage, and more.

-Разрабатывать архитектурные решения для облачной платформы, ее технологических компонентов, сервисов IaaS, PaaS, SaaS и интеграционных решений.

Обеспечение стабильного и предсказуемого релизного процесса на всех этапах жизненного цикла разработки - от проектирования и обсуждения до поддержки и эксплуатации; Сопровождение и развитие CI/CD процессов команд разработки, включая сложные многостадийные пайплайны и интеграции с внешними системами и сервисами;

- 5+ years of experience in DevOps in fintech/crypto. - Strong hands-on experience with AWS in production.

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. The Observability team builds the platform every Affirm engineer relies on to understand the behavior and performance of our systems. Our platform ingests 200+ TB/day of metrics, logs, and traces from hundreds of services across 80+ Kubernetes clusters, and when a user's checkout fails, our data is how engineers find out why. Over the next year, we’re moving to wide events, with one context-rich event per request, improving the signal-to-noise ratio to make debugging faster. We’re also introducing log sampling and building observability best practices into agentic development and code review, so that AI-assisted code is well instrumented by default. We’re looking for a Staff Software Engineer to be the technical lead for Observability. You’ll spend most of your time hands-on while defining the roadmap, driving cross-functional projects, mentoring a team of six engineers, and partnering closely with infrastructure and product teams. What You'll Do · You will own the architecture of Affirm’s telemetry pipeline, balancing reliability, query performance, and cost at 200+ TB/day. · You will design log sampling strategies that significantly reduce volume and cost without losing the signal engineers need during incidents. · You will shape how observability fits into agentic development, so that AI coding agents and code review catch instrumentation gaps before code ships. · You will be responsible for setting technical strategy for your team on a year-long time scale, and help your team tie it together with critical, business-impacting projects. · You will collaborate across teams in the product development lifecycle by collaborating with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed. · You will act as a force-multiplier for your team through your definition and advocacy of technical solutions and operational processes. · You take ownership of your team’s operations and availability by ensuring you have the right monitoring, triage rotations, playbooks, polcities, testing and alerting in place to support “keep the lights on” & on-call efforts. · You will foster a culture of quality and ownership on your team by setting code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks. · You will help develop talent on your team by providing feedback and guidance, and leading by example. What We Look For · You have 8+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin. · You have an extensive track record of developing highly available distributed systems using technologies like AWS, MySQL, Flink and Kubernetes. · You have built or operated high-volume telemetry systems (metrics, logs, and/or traces) using technologies like OpenTelemetry, Kafka, and Terraform. · You have a well-informed point of view on modern observability practices such as structured and wide events, sampling, cardinality management, and SLOs. · You have driven adoption of a platform standard across many engineering teams, through both tooling and engagement. · You have experience delivering major features, system components or deprecating existing functionality in a system through the definition of a technical and execution plan. You write high quality code that is easily understood and used by others. · You thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of large systems to understand how they work. · Your growth and impact trajectory demonstrates that you have mastered gathering and iterating on feedback from your engineering and cross-functional peers. · You have strong verbal and written communication skills that support effective collaboration with our global engineering team. Pay Grade - P Equity Grade - 7 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: $181,000 - $241,000 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.

End-to-End System Architecture & Optimization. Own the technical vision for scalable, high-performance, cost-efficient systems.