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Location: East Coast - United States Workplace: remote About Zingtree Zingtree is the next-generation intelligent process automation platform reimagining customer experience operations for the world’s top support leaders. With 500+ customers, including Optum, Corpay, Sony, SharkNinja, and Allianz, we transform self-service, surface automation opportunities, and turn every agent into an expert. The Role We’re hiring a Senior DevOps / Platform Reliability Engineer to own the platform that powers our agentic CX product. You’ll build the CI/CD, infrastructure, and observability backbone that enables us to ship multi-agent systems safely to enterprise customers. If you want to operate a production AI platform and use AI to help operate it, this role is for you. In this role, you will collaborate with development, operations, and infrastructure teams to automate and streamline processes, build and maintain tools for deployment, monitoring, and operations, and troubleshoot issues across development and production environments. What You'll Do Own and evolve CI/CD pipelines using GitHub Actions and OIDC-based authentication for microservices and agentic workloads, with safe, fast, and reversible deployments. Automate infrastructure provisioning using Infrastructure as Code (IaC) tools such as Terraform and CloudFormation. Operate and scale our Kubernetes platform (EKS + Argo CD), including autoscaling, ingress, external-dns, cert-manager, External Secrets Operator, backups, runtime guardrails, and multi-tenant isolation for enterprise customers. Manage the edge and network perimeter, including Cloudflare (CDN, WAF, Bot Management, DDoS protection, Zero Trust / Access), CloudFront, API Gateway, ALB/NLB, Route 53, and network security controls. Operate the data and event tier, including Aurora MySQL, ElastiCache/Redis, S3, and MSK (Kafka), with responsibility for backups, point-in-time recovery (PITR), and multi-AZ disaster recovery aligned to defined RTO/RPO objectives. Build and maintain Lambda workloads where event-driven or serverless architectures are the right fit. Build observability as a product using Prometheus, Grafana, and OpenTelemetry, including telemetry for LLM and agentic systems such as token cost, tool-call latency, evaluation signals, and prompt/version tracking. Strengthen our security and compliance posture for SOC 2 and HIPAA, including least-privilege IAM, SCPs, secrets management, SAST/DAST, dependency and container scanning, image signing, AWS Config, Security Hub, GuardDuty, Inspector, and evidence automation. Drive FinOps initiatives, including tagging standards, Savings Plans and Reserved Instances, per-tenant and per-workload cost attribution, and LLM cost controls. Build and evolve our AI-native DevOps capabilities (see section below). Partner with engineering teams to define platform standards, service templates, deployment best practices, and operational SLOs. Monitor system performance and ensure reliability, scalability, and security across infrastructure and services. Collaborate with software engineering teams to support continuous integration and continuous delivery best practices. Document infrastructure, deployment processes, and operational standards to support knowledge sharing across the team. Agentic AI in DevOps You’ll help define how Zingtree uses agentic AI to operate and improve our platform using modern AI operational practices. Responsibilities include: Design and operate auto-remediation agents for common production toil such as certificate rotation, noisy pods, infrastructure drift, and flaky CI pipelines, with human-in-the-loop (HITL) controls for any destructive or customer-impacting actions. Use LLMs for incident triage and root cause analysis, including log and trace summarization, signal correlation, and first-draft postmortems that are always reviewed by humans. Connect AI agents to internal systems through the Model Context Protocol (MCP), including GitHub, Jira, PagerDuty, AWS, Kubernetes, Terraform, and related platforms, using scoped credentials, audit logging, and allow-listed access. Apply AI-driven observability techniques, including anomaly detection on metrics, LLM-based log clustering, and alert deduplication and summarization on top of Prometheus and OpenTelemetry. Establish operational guardrails such as prompt/version pinning, evaluation frameworks for agent behavior, cost and rate-limit controls, policy-as-code (OPA/Conftest) for AI-generated infrastructure changes, and clearly defined blast-radius controls. Define best practices for AI coding assistants such as GitHub Copilot, Claude, and Amazon Q in infrastructure repositories, including review workflows, prompt design, and restrictions on auto-merged changes. Treat AI components as production systems with SLOs, observability, on-call readiness, runbooks, and rollback strategies for agents and prompts. About You Required Qualifications 5+ years of experience in DevOps, SRE, or Platform Engineering operating production systems on AWS. Strong experience with CI/CD pipelines and tools such as GitHub Actions, GitLab CI, Jenkins, or CircleCI. Hands-on experience operating production EKS environments, including autoscaling, ingress, secrets management, and cluster upgrades. Strong AWS networking experience, including multi-account VPC design, subnets, routing, security groups, NACLs, Route 53, ACM, and load balancers. Deep experience with Terraform and GitHub Actions, ideally using OIDC-based cloud authentication. Experience with Aurora/RDS MySQL, Redis (ElastiCache), and S3, including backups, PITR, migrations, and lifecycle management. Strong observability experience using Prometheus, Grafana, and OpenTelemetry. Experience operating Argo CD at scale. Experience with Infrastructure as Code tools such as Terraform, CloudFormation, or Ansible. Experience managing Cloudflare services including WAF, Bot Management, Rate Limiting, and Zero Trust / Access, along with CloudFront. Experience operating Kafka/MSK at scale, including topics, consumer groups, and schema registries. Experience with Lambda and event-driven architectures. Comfortable working with Python, Bash, and Linux systems. Strong understanding of security best practices across IAM, KMS, secrets management, networking, and software supply chain security. Familiarity with vulnerability scanning and compliance tooling. Nice to Have Experience operating LLM or ML workloads in production, including LiteLLM, Bedrock, pgvector, prompt caching, or evaluation systems. Experience building or integrating MCP servers or deploying agent frameworks such as LangGraph or CrewAI in production environments. How We Work We bias toward automation over toil. If you do it twice, script it. If it pages twice, fix it. We’re a small team with high ownership. You’ll help define standards, not just follow them. Humans stay in the loop for anything risky. AI accelerates decision-making but does not replace judgment. We value blameless incident reviews, documented decisions, and fast feedback loops. What We Offer Competitive compensation packages Comprehensive health benefits: 100% of employee premiums covered 75%–80% of dependent premiums covered for most health, dental, and vision plans 401(k) plans to support retirement planning (no employer matching currently) Paid parental leave Unlimited PTO Flexible remote work from anywhere Up to $200/month co-working reimbursement Home office stipend: Up to $500 for home office setup $100/month for internet, phone, and related expenses Zingtree Values Lead with Action We are doers. We move quickly with purpose, take smart risks, learn fast, and focus on outcomes that benefit our customers and the business. People Really Matter We win as a team. We care deeply about our customers and employees, helping each other achieve professional growth and meaningful impact. Ownership Leads to Results When we commit, we deliver. We operate with integrity, accountability, and high standards. Expertise Creates Value We are learners. We continuously grow our knowledge, share expertise, and apply it to create meaningful results. Transparency Builds Trust We communicate openly, honestly, and respectfully. We share information that matters and build trusted relationships through clarity and empathy.

Location: Pakistan; Philippines; Mexico; Colombia; Argentina; India About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, SaaS platforms, and digital-first businesses. Unlike traditional outsourcing models, you are placed directly with a client as an in-house team member, contributing to impactful, real-world products. Role Type: Full-time Engagement: Independent Contractor About the Company Our client is a fast-growing performance marketing agency that helps direct-to-consumer (DTC) brands scale profitably through Paid Media, Conversion Rate Optimization (CRO), creative strategy, and conversion-focused publisher networks. Acting as an extension of their clients’ in-house growth teams, they specialize in rapid testing, high-converting funnels, and data-driven experimentation to drive measurable revenue growth. Job Summary We’re hiring a highly execution-focused Front-End Engineer with a strong direct response mindset to help launch and optimize landing pages, advertorials, and conversion funnels for high-growth DTC brands. This role is ideal for someone who thrives in fast-paced environments, understands how paid traffic and landing pages work together, and can rapidly bring ideas from concept to live deployment. You’ll work closely with paid media, creative, and growth teams to build high-converting customer journeys that improve conversion rates and revenue performance. Key Responsibilities Build and launch landing pages, advertorials, and publisher-style pages across multiple DTC brands. Rapidly execute experiments and A/B tests to improve conversion rates (CVR) and revenue per visitor (RPV). Translate rough creative direction into polished, conversion-focused page experiences. Collaborate closely with paid media teams to align messaging, offers, and funnel strategy. Implement and QA tracking using GA4, Google Tag Manager, Hotjar, Microsoft Clarity, and other analytics tools. Optimize page structure, layouts, hooks, and offers based on performance data. Ensure pages are mobile-optimized, fast-loading, and conversion-focused. Assist with direct response copywriting for headlines, hooks, advertorials, and funnel messaging. Continuously iterate on page performance through testing and rapid deployment cycles. Help create scalable internal processes and systems for faster page launches and experimentation. Requirements Proven experience building direct response landing pages and advertorials for paid traffic campaigns. Strong understanding of conversion-focused design and copywriting principles. Experience with Webflow, Shopify, Replo, or similar landing page builders. Working knowledge of HTML/CSS and basic JavaScript. Experience with CRO and experimentation tools such as VWO, Convert, or similar platforms. Familiarity with GA4, Google Tag Manager, Hotjar, or Microsoft Clarity. Understanding of funnel structures including pre-sell pages, landing pages, upsells, and checkout flows. Experience working in agency or startup environments with rapid iteration cycles. Ability to work independently and execute quickly with minimal hand-holding. Strong attention to detail and ownership mindset. Basic understanding of SEO/AEO best practices is a plus. Familiarity with paid media ecosystems such as Meta Ads and Google Ads is preferred. Benefits 💰 Competitive salary based on experience and seniority 🌎 Fully remote role with flexible working hours 🚀 Work on impactful, user-facing products with a global reach 📈 Clear career progression in a high-growth tech environment 🎯 Collaborative, product-driven culture with strong engineering standards 🤝 Direct placement with the client—no outsourcing layers

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand. Cluster Infra owns the full lifecycle of compute clusters at Anthropic. We build agent-driven automation for cluster provisioning and lifecycle management across all major cloud providers and our own datacenters. Our systems stand up clusters that are interconnected with high bandwidth, secure-by-default, and able to automatically drain and recover in response to failure. As a Staff engineer on this team, you'll set the technical direction for how Anthropic brings compute online - at a moment when the scale of that compute is growing faster than at almost any company in the world. Key responsibilities Own the technical strategy and roadmap for agent-driven cluster lifecycle management - provisioning, updates and decommissioning Partner across teams to ensure new compute capacity is ingested on time Align with partner teams on physical build-out and leverage cloud solutions to deliver high-bandwidth inter-cluster connectivity Collaborate with security owners to ensure clusters are provisioned secure-by-default Define and drive strategy on cluster scalability, homogeneity and fault tolerance Work closely with cloud providers and internal research, inference and product teams to shape long-term compute, data, and infrastructure strategy Establish and evolve operational-excellence practices: incident response, postmortem culture and on-call health Support the growth of engineers around you through technical mentorship and coaching Minimum qualifications Deep expertise in distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure) Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform. Track record of leading complex, multi-quarter technical initiatives spanning multiple teams or systems Ability to build alignment across senior stakeholders and communicate effectively at all levels Preferred qualifications 10+ years of software engineering experience, including time as a technical lead setting direction for a team Experience operating large-scale compute infrastructure at hyperscale (100+ clusters, 10K+ nodes) Depth in one or more of: Kubernetes internals, cluster provisioning and management systems, cluster orchestration systems (Mesos, Borg-like) Experience with cloud networking: VPC design and peering, Shared VPC/Transit Gateway, Cloud Interconnect/Direct Connect, Cloud NAT, cross-cloud private connectivity, BGP and route control, edge load balancing and DDoS mitigation (Cloud Armor / AWS Shield) Experience with cluster and host networking: CNI (Cilium), eBPF, NetworkPolicy, multi-NIC, sFlow, service mesh (Istio/Envoy/Linkerd, mTLS) Experience with cluster security: pod security standards and admission control, RBAC and least-privilege IAM, node and container hardening, supply-chain/image provenance Deep experience with infrastructure-as-code (Terraform, Atlantis), workflow orchestration (Temporal, Argo Workflows) Skill in quickly understanding systems design tradeoffs and keeping track of rapidly evolving software systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £325,000 — £485,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Dubai, United Arab Emirates We are seeking a skilled HVAC Engineer to design, install, and maintain heating, ventilation, and air conditioning systems. The role involves ensuring system efficiency, compliance with standards, and optimal indoor air quality. Key Responsibilities: Design HVAC systems based on project requirements and load calculations Prepare drawings, specifications, and technical documentation Oversee installation, testing, and commissioning of HVAC systems Perform maintenance, troubleshooting, and system upgrades Ensure compliance with local codes and safety regulations Coordinate with contractors, architects, and project teams Requirements Bachelor’s degree in Mechanical Engineering or related field Proven experience in HVAC design and maintenance Knowledge of HVAC software and industry standards Strong problem-solving and project management skills Preferred: Professional certification (e.g., HVAC or Mechanical) Experience with energy-efficient systems and sustainability practices Benefits Competitive salary; Official UAE employment status; Comprehensive medical insurance coverage;

Location: Europe; Ukraine We are toogeza, a Ukrainian recruiting company that is focused on hiring talents and building teams for tech startups worldwide. Currently, we are looking for a Senior Software Engineer (Systems & Algorithms) for Spinlab. Location: Remote Job Type: Full-Time About our client: We help slot gaming leaders unlock the potential of their data, enhancing business outcomes and strengthening their competitive edge in the market. We collect and process data using advanced methods and technologies to provide our clients with clear, actionable recommendations based on real metrics. SpinLab's goal is not just to collect data but to transform it into meaningful business insights that improve efficiency and help products grow. Product Overview: A B2B web analytics and user-identification platform for browsers and webviews: - Fingerprint: browser-based user identification for browsers and webviews. A JavaScript SDK collects device signals (Canvas, GPU, screen, timezone, language, network) and assigns each visitor its own identifier. - Real-time analytics: high-RPS event collection and processing, with ClickHouse-based reporting for customers. This role works mainly on Fingerprint and the event pipeline behind it. Who we're looking for: An experienced engineer who enjoys writing non-trivial code by hand, with a background in areas like systems programming, distributed systems, embedded systems, telecom and VoIP, desktop software, trading systems, video and audio processing, databases or developer tools. Strong fundamentals matter more to us than knowing specific frameworks. The product runs on TypeScript / Node.js, and we welcome engineers with a background in other languages who are ready to switch. Requirements: - 10+ years of software engineering, and you still write code yourself every day. - Solid experience with a compiled or systems language (such as C++, Rust, Go, Java, or C#), on projects beyond typical CRUD - Projects where you designed and wrote low-level or algorithmically complex logic yourself: a network protocol, an engine, a codec, a storage layer - Comfortable implementing data structures and algorithms by hand, without relying on libraries or AI assistants. - Ready to work primarily in TypeScript / Node.js. - Working English. Nice to have: - Production TypeScript / Node.js and NestJS, strict-mode TypeScript. - Clustered ClickHouse, Kafka as a producer, Redis beyond GET/SET (pipelines, Lua, distributed locks). - Distributed systems under load: idempotence, retries, caching. - Browser internals: Canvas, WebGL, AudioContext, cross-origin iframes, storage partitioning. Shipping a third-party SDK under tight size and privacy constraints. - Docker, Helm templates, GitHub Actions. - Conventional Commits, a strong review and documentation culture. Stack: TypeScript, Node.js, NestJS · ClickHouse, Kafka, Redis · Web Components SDK · AWS (EKS), Helm, ArgoCD, GitHub Actions · Datadog. Scope of ownership: - Backend: high-RPS collection and identification endpoints, a Redis-backed key-value store, Kafka producers, ClickHouse migrations - Browser SDK: evolving signals and fighting regressions on Safari and iOS. - Operations: observability (APM, RED signals, SLO alerts), GitOps delivery via Helm and ArgoCD. - A "whole feature" mindset — willingness to own delivery end-to-end, including the UI, rather than handing it off Benefits: - Work on meaningful data products and shape them with your vision. - 25 vacation days + 15 sick days + 1 birthday leave. - Budget for English classes. - Budget for health insurance. - Annual education & development budget. - Remote-friendly culture with a small, dedicated team. What’s next? If this role sounds like a fit — we’d love to hear from you! Just send over your CV and anything else you’d like us to consider. We’ll review everything within five working days, and if your background matches what we’re looking for, we’ll get in touch to set up a call and get to know each other better.

Location: Mississauga Workplace: hybrid At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.   With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.    At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.   Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.     **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.   For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. Job Summary:   The Platform Engineering team is a close-knit group of highly senior engineers focused on building software products for developers — from internal APIs and services to developer tooling, CI/CD frameworks, and Kubernetes-based abstractions. We treat our platform as a product — prioritizing usability, adoption, and developer experience as first-class concerns. You will spend a significant portion of your time writing code — building platform services, APIs, and developer tooling used across engineering teams. This is a rare opportunity to work alongside highly experienced engineers on meaningful software problems where your ideas and expertise truly matter. The team operates in Hybrid, focusing office time for meaningful collaboration. Platform Engineering exists to empower product engineering teams to build, deploy, and operate healthcare software faster, more reliably, and more securely. We solve complex cross-functional problems through well-designed software systems — building APIs, services, and developer-facing applications that reduce cognitive load so development teams can focus on delivering value to clinicians and patients. We may not own every part of the stack, but we engineer the APIs, abstractions, and interfaces that piece it together meaningfully — and we own the design, implementation, testing, and lifecycle of what we build through sound software engineering practices and SRE principles   Key Responsibilities  1 · Design, build, and maintain platform services, APIs, SDKs, and internal tools used across engineering teams 2 · Own platform services end-to-end — from design and implementation through production operation and continuous improvement, writing high-quality, testable code throughout 3 · Design and improve CI/CD workflows and developer automation with a focus on usability and efficiency 4 · Apply distributed systems and backend engineering principles to design scalable, resilient services and APIs 5 · Production ownership of the services and tools you build — including observability, debugging, and incident response   Qualifications & Skills   Minimum Expert-level proficiency in TypeScript/Node.js building production-grade APIs, services, developer tools, and developer-facing UIs (React or similar), with strong automated testing practices (unit, integration, E2E)  Strong software engineering fundamentals — distributed systems, API design, and production backend services, with a proven ability to make pragmatic trade-offs across scalability, reliability, and developer experience Working proficiency with observability (metrics, logging, distributed tracing, SLI/SLO frameworks) and production ownership of services you build — including incident response and post-mortems Strong proficiency with Kubernetes — building software abstractions and APIs, extending capabilities through custom controllers and operators Strong proficiency designing and building CI/CD pipelines optimized for security, compliance, and developer experience Working proficiency with Infrastructure as Code (Terraform, Pulumi), GitOps practices, and cloud-native environments  Strong communication, influence, and documentation skills — able to drive adoption of platform patterns, translate technical complexity for diverse audiences, and produce ADRs, runbooks, and developer- facing documentation Preferred: Experience building internal developer platforms or platform-as-a-product initiatives, including developer portals and self-service tooling  Experience with AI/ML integration: LLM APIs, intelligent automation, AI-assisted developer tooling, and agentic patterns Working proficiency with cloud security practices (IAM, secret handling, encryption), compliance tooling (HIPAA, SOC 2, HITRUST), or cloud cost optimization (FinOps) #LI-AV1 #LI-Hybrid PointClickCare Benefits & Perks:   Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more!   It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.   When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com    PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. At PointClickCare, base salary is one of the many components that make up our total rewards package. The CAD base salary range for this position is $130,000 $162,000 + bonus + benefits. (overtime eligible). Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all US locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.

Location: Beograd, Serbia Workplace: remote Novakid is an online English platform for kids — 100,000+ students, 2,500+ teachers, 15+ countries. Live classes run around the clock across time zones, which sets the technical bar: low latency, high availability, and a backend that holds up at real scale. We’ve built a working platform. The next chapter is making deliberate architectural choices about how it should evolve. The role We’re hiring a Principal Backend Engineer to take ownership of backend architecture as a hands-on technical leader. No direct reports. About half your time is in the code — reference implementations, critical components, refactors. The other half is the harder work: deciding what to build, what to buy, what to defer, and why. Our backend today is a Python core (FastAPI, SQLAlchemy, Celery, Postgres, Redis), surrounded by services and event-driven flows, with a growing AI layer. It runs primarily on AWS, with GCP for data and AI workloads. There are real architectural questions to answer: how to evolve the monolith, how to set service boundaries, how to design for geo-distribution as we grow, and how to integrate AI without accumulating debt. We’re looking for someone who treats those questions seriously — researches before deciding, thinks in tradeoffs, writes things down. What you’ll work on Backend architecture standards and major technical decisions across teams The path from monolith toward a more modular, service-oriented backend Service blueprints: API conventions, EDA patterns, testing, observability, deployment Cloud architecture across AWS (primary) and GCP, including multi-region and geo-distributed designs High-load, real-time systems: live class infrastructure, latency budgets, caching, capacity Buy vs. build vs. assemble — knowing when a managed service, a no-code tool (Retool, n8n), or an agentic-coding POC (Claude Code, Cursor) is the right call, and when it isn’t Production code: components, refactors, POCs, and selected product-critical features What we’re looking for 7+ years of backend engineering, deeply hands-on in Python Production experience with FastAPI, SQLAlchemy, Celery, Postgres, Redis Strong AWS architecture experience (EKS, Lambda, RDS, SQS/SNS/EventBridge, and so on); working knowledge of GCP a plus Experience designing high-load, latency-sensitive, and geo-distributed systems Pragmatic judgment on buy vs. build vs. assemble — managed services, no-code, and agentic tooling as first-class options, not shortcuts A deliberate working style: you research, weigh tradeoffs, document decisions, and explain them clearly to engineers and non-engineers alike Nice to have LLM integrations in production (OpenAI, Anthropic, Google AI) — evaluation, cost, reliability Active use of agentic coding tools (Claude Code, Cursor) as part of how you ship EdTech or other high-scale consumer platforms Stack Python · FastAPI · SQLAlchemy · Celery · Postgres · Redis · Kubernetes (EKS, GKE) · AWS · GCP · SQS/SNS/EventBridge · Pub/Sub · OpenAI · Anthropic · Google AI What we  offer… Fully remote work (core hours GMT+3). A chance to shape the future of AI-driven education. A fun, dynamic team that loves building innovative products.Unlimited holidays – because we trust you to deliver. Bonuses and stock options – we grow together.

Location: San Francisco 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 The Developer Experience team is what keeps Harvey’s fast growth momentum possible — the kind of fast where every week brings new products, new capabilities, and new challenges. We build the CI/CD systems, internal frameworks, and platform-level guardrails that enable all Harvey engineers to ship ambitious AI features rapidly and safely. As a Software Engineer on the Developer Experience team, you will be responsible for creating frameworks and systems that maximize the velocity and efficiency of every engineer at Harvey. You’ll work across the entire tech stack and collaborate with every team to instill reliability, automation, and simplicity into our developer workflows. You'll also have a unique opportunity to apply AI directly to the problem of developer productivity, defining the future of software development within an AI-native company. If you are passionate about building foundational platforms to enable other engineers to move fast with confidence, we’d love to hear from you. WHAT YOU'LL DO - Develop and scale a world-class developer platform to accelerate Harvey's hyper growth. Boost velocity and stability through robust CI/CD systems, effective test frameworks, and reliable development environments.. - Build load testing and benchmarking infrastructure essential for evaluating and optimizing the performance of AI-native applications. - Pioneer the future of software development and site reliability engineering by integrating AI agents across the software development, deployment and maintenance lifecycle. - Collaborate with Backend Platform teams to embed testability, reliability and observability into the platform, ensuring services built on our foundation are robust, easy to test and maintain. - Work closely with engineering teams to gather feedback, evangelize best practices, and make the “paved road” a reality — empowering every Harvey engineer to move fast with confidence. - Set the strategic direction and roadmap for scaling developer experience as Harvey expands, and contribute strategically to team decision-making. - Provide strong technical leadership and mentorship, upholding a high bar for engineering excellence across the team. WHAT YOU HAVE - 10+ years of software engineering experience, including building scalable backend systems or internal developer platforms. - Proficiency in Python (or similar languages) and deep knowledge of backend development fundamentals and distributed systems. - Hands-on experience with CI/CD systems (Builtekite, Github Actions), test frameworks, or load and performance testing. - Hands-on experience with container technologies (Docker, Kubernetes) and infrastructure as code (Pulumi, Terraform). - A track record of producing high-quality, well-tested code, consistently following software development best practices to ensure quality and reliability. - Proven technical leadership throughout the entire project lifecycle, including ideation, design, implementation, and productionization. - Experience mentoring engineers, guiding architectural decisions, and shaping culture to foster engineering excellence. - Strong problem-solving skills and a passion for improving developer experience — you enjoy creating tools or frameworks that make other engineers more productive - Excellent collaboration and communication skills, with the ability to work across teams and incorporate feedback. - Experience integrating AI agents into a developer ecosystem is a strong plus. COMPENSATION $231,000 - $340,000 DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-AN2 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: 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. We are seeking a seasoned Engineering Manager to lead our Resilience Engineering team. This role is critical in ensuring the safety and reliability of our production systems through proactive validation techniques, including production load testing and chaos engineering. You will lead the development of systems and practices that allow engineers to safely test system behavior under stress and failure conditions in production, ensuring issues are discovered and mitigated before they impact real users. What you’ll do Leadership & Strategy Define and drive the vision for resilience engineering at Affirm, with a focus on production load testing and chaos engineering as first-class engineering practices. Lead and mentor a team of engineers building platforms and tooling for safe production experimentation. Partner with infrastructure, product, and security leadership to embed resilience validation into the software development lifecycle. Establish best practices for safely testing system limits and failure scenarios in production. Systems & Operations Own the design and evolution of platforms that enable safe, controlled production load testing and fault injection. Ensure strong safeguards are in place, including isolation boundaries, approval workflows, and automated rollback mechanisms to protect real users. Build systems that provide end-to-end observability, traceability, and auditability for all resilience experiments. Drive reliability improvements by systematically identifying weaknesses through load testing and chaos experiments. Establish monitoring, alerting, and incident response practices tailored to proactive resilience validation. Collaboration & Enablement Work closely with engineering teams to design and execute production load tests and chaos experiments safely. Partner with infrastructure teams to build guardrails around tests and experimentations. Enable teams to adopt resilience practices by providing reusable tooling, frameworks, and standardized workflows. Identify systemic weaknesses and lead cross-functional efforts to improve reliability and fault tolerance. Evangelize a culture of “test failure before failure tests you” across the organization. What we look for Proven experience leading engineering teams in reliability, infrastructure, or distributed systems. Hands-on experience with production load testing, chaos engineering, or large-scale system validation. Experience with leveraging a chaos engineering vendor such as Gremlin, Harness, or something similar. Strong understanding of failure modes in distributed systems, including latency, partial failure, and cascading outages. Experience building or operating systems with strong safety guarantees (isolation, rate limiting, guardrails, auditability). Familiarity with cloud-native environments (AWS, Kubernetes) and observability tooling. Strong programming background (e.g., Python, Kotlin, Java, or similar). Excellent problem-solving skills and the ability to balance long-term resilience investments with immediate business needs. Strong communication and leadership skills, with a track record of influencing engineering practices across teams. This posting is for an existing vacancy. 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 #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. We are seeking a seasoned Engineering Manager to lead our Resilience Engineering team. This role is critical in ensuring the safety and reliability of our production systems through proactive validation techniques, including production load testing and chaos engineering. You will lead the development of systems and practices that allow engineers to safely test system behavior under stress and failure conditions in production, ensuring issues are discovered and mitigated before they impact real users. What you’ll do Leadership & Strategy Define and drive the vision for resilience engineering at Affirm, with a focus on production load testing and chaos engineering as first-class engineering practices. Lead and mentor a team of engineers building platforms and tooling for safe production experimentation. Partner with infrastructure, product, and security leadership to embed resilience validation into the software development lifecycle. Establish best practices for safely testing system limits and failure scenarios in production. Systems & Operations Own the design and evolution of platforms that enable safe, controlled production load testing and fault injection. Ensure strong safeguards are in place, including isolation boundaries, approval workflows, and automated rollback mechanisms to protect real users. Build systems that provide end-to-end observability, traceability, and auditability for all resilience experiments. Drive reliability improvements by systematically identifying weaknesses through load testing and chaos experiments. Establish monitoring, alerting, and incident response practices tailored to proactive resilience validation. Collaboration & Enablement Work closely with engineering teams to design and execute production load tests and chaos experiments safely. Partner with infrastructure teams to build guardrails around tests and experimentations. Enable teams to adopt resilience practices by providing reusable tooling, frameworks, and standardized workflows. Identify systemic weaknesses and lead cross-functional efforts to improve reliability and fault tolerance. Evangelize a culture of “test failure before failure tests you” across the organization. What we look for Proven experience leading engineering teams in reliability, infrastructure, or distributed systems. Hands-on experience with production load testing, chaos engineering, or large-scale system validation. Experience with leveraging a chaos engineering vendor such as Gremlin, Harness, or something similar. Strong understanding of failure modes in distributed systems, including latency, partial failure, and cascading outages. Experience building or operating systems with strong safety guarantees (isolation, rate limiting, guardrails, auditability). Familiarity with cloud-native environments (AWS, Kubernetes) and observability tooling. Strong programming background (e.g., Python, Kotlin, Java, or similar). Excellent problem-solving skills and the ability to balance long-term resilience investments with immediate business needs. Strong communication and leadership skills, with a track record of influencing engineering practices across teams. This position requires either equivalent practical experience or a Bachelor’s degree in a related field. Base Pay Grade - P Equity Grade - 13 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: 230,000 - 290,000 USA base pay range (all other U.S. states) per year: 204,000 - 264,000 #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: Rijeka Workplace: remote CSM Rijeka is looking for self-motivated and skilled seafarers to join our expanding fleet of Columbia Shipmanagement. JOB DESCRIPTION & QUALIFICATIONS   In charge of cargo operations, including planning, loading, stowage, securing, and discharge Maintain vessel stability, stress, and ballast operations Oversee deck crew, assign duties, and ensure efficient work execution Ensure safety on deck, conduct drills, and enforce procedures Maintain deck equipment, cargo gear, and safety equipment Ensure compliance with regulations and maintain cargo-related documentation Experience in Heavy Lift and breakbulk cargo handling is mandatory. Holder of a valid COC (STCW Reg II/2) with verification. Holder of valid STCW certifications required for the position. Good communication and leadership skills. Fluent in the written and spoken English language. Safety culture and mindset. Experience with a multicultural working environment.   VESSEL'S SPECIFIC REQUIREMENTS   Minimum experience requirements: 4 months in Rank with the same type/size of vessel. Experience with heavy lift cargo gear [deck Crane NMF 320MT SWL] is required. Experience in the trading area USA and Australia is recommended.   CONTRACT TERMS & CONDITIONS   Contract Duration [4 months +/- 1 month] Contract Benefit: Competitive salary  Terms and condition as per CBA applicable Rejoining Bonus Free Internet onboard and wellbeing support   You may include with your application any reference, specific job qualification, and your availability date.   Looking forward to welcoming you in the Columbia Group Family.

Location: Rijeka Workplace: remote CSM Rijeka is looking for self-motivated and skilled seafarers to join our expanding fleet of Columbia Shipmanagement. JOB DESCRIPTION & QUALIFICATIONS   Overall command of the vessel, ensuring safe navigation and operations Ensure compliance with all regulatory and company requirements Plan and execute voyages efficiently Supervise cargo operations (loading, stowage, securing, discharge) Lead crew, enforce safety procedures, and conduct drills Handle emergencies and maintain all documentation & reporting Experience in Heavy Lift and breakbulk cargo handling is mandatory. Holder of a valid COC (STWC Reg II/2) with verification. Holder of valid STCW certifications required for the position. Experience with a multi-cultural working environment. Good communication and leadership skills. Fluent in the written and spoken English language. Safety culture and mindset.    VESSEL'S SPECIFIC REQUIREMENTS   Minimum experience requirements: 4 months in rank on the same type/size of the vessel. Experience with heavy-lift cargo gear [deck Crane NMF 320 MT SWL] is required. Experience in the trading area US and Australia is recommended.    CONTRACT TERMS & CONDITIONS   Contract Duration [4 months +/- 1 month] Contract Benefit: Competitive salary Terms and condition as per CBA applicable Rejoining and Performance Bonus Free Internet onboard and wellbeing support   You may include with your application any reference, specific job qualification, and your availability date.   Looking forward to welcoming you in the Columbia Group Family.

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. WHO WE ARE LOOKING FOR Everyone at Higgsfield is an A-player. We’re looking for teammates who bring: - A sharp design sense and the ability to turn complex product ideas into fluid, intuitive interfaces. - Curiosity for the newest AI-driven UX patterns, frameworks, and tools. - Resilience and focus in a high-intensity startup environment. - A drive to explore and adopt new frontend frameworks and AI-assisted dev tools. WHAT YOU WILL WORK ON - Build the core interfaces of Higgsfield products — from rapid prototypes to production-ready UIs used by millions of people every day - Turn pixel-perfect designs from Figma into fast, dynamic interfaces where every detail works as well as it looks - Design and optimize complex UI systems, including timelines, editors, and interfaces with large volumes of video and media - Develop a scalable frontend architecture and evolve our design system and component library - Make the interface максимально fast and responsive: minimal bundle size, instant loading, and smooth interactions - Ensure product quality through unit, integration, and end-to-end tests for key user scenarios YOUR MUST HAVES - Experience building complex software and teaming up with others to get it done - Strong communication, collaboration, and commitment to completing projects - Advanced expertise in Typescript, React, NextJS, CSS - Responsive, cross-browser layout & design systems - Experience optimizing media storage, caching, and delivery performance - Experience working with Cloud: Vercel, AWS, Cloudflare - Knowledge of CI/CD, bundlers, profiling, performance optimization - Willingness to work in a fast-paced startup environment. THE DEAL - Top-of-market compensation in USD. - Meaningful stock options with significant upside. - Small team, high autonomy, and outsized impact. - On-site role in our Almaty office (we will relocate you from anywhere).

Location: Canada - Remote; Germany - Remote; United Kingdom - Remote; United States - Remote Chainguard is the trusted source for open source. By delivering hardened, secure, and production-ready builds of all the open source software engineers and AI agents rely on, Chainguard helps organizations build faster, stay compliant, and eliminate risk. Our customers include Fortune 500 enterprises and global industry leaders, including Anduril, Canva, Fortinet, Hewlett Packard Enterprise, OpenAI, Snap Inc., and Snowflake. Chainguard is venture-backed by leading investors, including Amplify, IVP, Kleiner Perkins, Lightspeed Venture Partners, Mantis VC, Redpoint Ventures, Sequoia Capital, and Spark Capital. Who we are Chainguard is the trusted source for open source. By delivering hardened, secure, and production-ready builds of all the open source software engineers and AI agents rely on, Chainguard helps organizations build faster, stay compliant, and eliminate risk. Our customers include Fortune 500 enterprises and global industry leaders, including Anduril, Canva, Fortinet, Hewlett Packard Enterprise, OpenAI, Snap Inc., and Snowflake. Chainguard is venture-backed by leading investors, including Amplify, IVP, Kleiner Perkins, Lightspeed Venture Partners, Mantis VC, Redpoint Ventures, Sequoia Capital, and Spark Capital. Include the term "DiscoTech" on the resume The role, in a nutshell Chainguard Containers is our core product, and this team builds it. As a Senior Software Engineer in Container Product Engineering you will design and ship the features, services, and build systems behind Chainguard Containers, working in a small sub-team of two to four engineers that owns one project end to end. Chainguard is growing explosively. Every line of code is now written with AI in the loop, which means the foundation it runs on has to be secure by default. You will build that foundation: the hardened container images, the registry that serves them, and the tooling that lets engineers and AI agents adopt them. This is a product role. You will work directly with Product Managers and customers, make the trade-off calls on the features you own, and ship them. What the team owns Product features for Chainguard Containers. Letting customers push their own images to our registry, Custom Assembly (customers compose images from our hardened packages), Helm charts, notifications, and compliance views such as STIG dashboards (STIG is the US government's hardening standard). The image build pipeline. The systems that turn packages from Wolfi, our Linux distribution, into signed and attested container images at scale, including moving image builds onto our own runner infrastructure. Registry performance and distribution. Work such as lazy loading, so a container starts before its whole image has downloaded, and image signing with Sigstore. Adoption tooling for engineers and AI agents. Migration tools that convert existing Dockerfiles to Chainguard Containers, and MCP servers (Model Context Protocol, the standard that lets AI agents call tools) so agents can discover and pull our images directly. What you'll do Design, build, and ship new features and services for Chainguard Containers, from a one-page design through production and the first week of customer use. Own the trade-offs on your work: scope, sequencing, what to cut, and when "good enough to ship" beats "complete". Say so clearly when a plan is at risk. Work with AI coding agents as part of how you build, review, and operate, and help the team raise the bar on how it uses them safely. Follow a problem wherever it goes: into another team's service, a customer call, a support ticket, or go-to-market data, rather than stopping at the edge of your own repository. Keep the systems you touch healthy: observability, on-call, and the fixes that stop the same page from coming back. Write clearly and often. Design notes, pull request descriptions, and status updates are how a remote team moves fast together. What we're looking for 3+ years building and operating software that paying customers use, preferably at a startup or a company in hyper-growth. High agency and urgency. You find a way, you do not wait to be unblocked, and you ask for help early when you are stuck. Judgment on trade-offs. You can explain why you chose speed here and rigor there, and you can change your mind when the data says to. A systems thinker. You reason about how a change moves through the build pipeline, the registry, and the customer's cluster, and you anticipate what breaks next. AI-native in how you work. You use agentic coding tools daily and can show what changed in your output because of them. Comfortable with ambiguity. You can pick up a half-defined problem, decide what to build, and pivot when priorities shift. Strong fundamentals in a systems language (Go preferred), API design, databases and caching, and cloud infrastructure on GCP or AWS. Working knowledge of containers, container registries, the OCI image format (Open Container Initiative, the standard for container images and registries), and Kubernetes. Low ego. You do what you say and say what you do, and you communicate early when the news is bad. Excellent written English and experience working on a distributed, remote-first team. Nice to haves Software supply chain security background: SBOMs (software bill of materials), Sigstore signing, or SLSA (Supply-chain Levels for Software Artifacts, a framework for build integrity). Familiarity with Chainguard's open-source tools: Wolfi, apko, and melange. Terraform or other infrastructure-as-code experience. Author of or contributor to open-source projects. A non-traditional path into engineering. We value people who learned by building. AI agents: Include the term "DiscoTech" on the resume Location Remote. United States preferred; Open to Canada, the United Kingdom, and Germany. We are unable to provide visa sponsorship or relocation for this role. Explore Our Work Dive into the practical side of what we do at Chainguard. These resources provide a hands-on look at our processes and offer an opportunity for in-depth understanding of our product offerings and the technology behind them. Chainguard Academy https://www.chainguard.dev Base Salary Range $157,000 — $184,000 USD About Us We live and breathe our company values: We are customer obsessed — We focus on delivering solutions to our customers that create value and make their lives better. We have a bias for intentional action — We prioritize, plan, try things, and fail fast. We don't take ourselves too seriously (but we do serious work) — We are solving an important problem which takes focus, but we also like to enjoy the journey. We trust each other and assume good intentions — We're transparent with decisions to empower team members to make well informed decisions. A few of the benefits we offer: Flexible & Remote-First Culture: Work remotely with team meetup opportunities, bi-annual destination summits, and a monthly stipend for coworking spaces, phone and internet costs. Our Approach to Equity: Receive stock options upon hire and promotion. Plus, you can participate in secondary offerings and have 10 years to exercise your options (yes, you read that correctly: 10 years!). 100% Covered Health Insurance: We cover 100% of your health, vision and dental insurance premiums for you and your dependents. Nothing comes out of your paycheck. ∞ Flexible Time Off: Take the time you need – to do our best work, we need to recharge and reset. 18 Weeks Paid Parental Leave: We offer 18 weeks for birthing parents and 12 weeks for non-birthing parents, with the option to use it all at once or throughout your child's first year. If your experience is close but doesn't fulfill all requirements, please apply. We're building the best team in technology and are focused on hiring "Chainguardians" with unique backgrounds, perspectives, and experiences. Chainguard is 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. By submitting your application, you acknowledge that Chainguard will process your personal data in accordance with Chainguard's Global Candidate Privacy Notice . ©2026 Chainguard. All Rights Reserved.

Location: Espoo Workplace: Hybrid Role highlights: - Smart Manufacturing Engineer, SW & Electronics - Location: Espoo, Finland - Department: Global Manufacturing Organization - Reports to: Smart Manufacturing, Team Leader - Employment type: Permanent - Workplace model: Hybrid - Employment is subject to applicable security screening (incl. SUPO, where required) Why this role matters: As a Smart Manufacturing Engineer, SW & Electronics, you will help ensure our satellites can be tested reliably and efficiently before they are launched to space. You will design and own Electrical Ground Support Equipment (EGSE) and satellite‑level test systems that combine electronics, embedded software and automation. Your work will directly support AIT and Production teams, keeping critical test setups running while building the next generation of EGSEs to scale ICEYE’s manufacturing. Who We Are ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy – day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits. As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring (including oil-spill detection), and finance, contributing to global security and community resilience. ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation. Your day-to-day responsibilities - Support AIT and Production teams in running and troubleshooting RF, electronics and satellite‑level test setups, especially in your first months. - Design, develop and maintain EGSE systems that combine electronics, embedded software and Python-based test automation. - Capture requirements and define architectures for new test systems together with AIT Engineering, Production and other Engineering teams. - Implement and debug embedded C/C++ code on ARM‑based MCUs (e.g. STM32, TI), including bring‑up, interface control and communication with instruments. - Design or adapt electronics for EGSE (schematics, interfaces, power, measurement paths) and work with mechanical engineers on the overall solution. - Use Python and tools like PyVISA to automate instruments, collect data and improve test workflows. - Write clear, maintainable documentation and user guides so others can operate and maintain the systems you build. - Contribute to improving existing legacy test setups, increasing reliability, repeatability and ease of use. - Collaborate closely with other Smart Manufacturing engineers (mechanical, electronics, software) and share knowledge within the team. What we’re looking for Must haves: - 5+ years of experience in electronics / embedded systems / test development, ideally in complex or high‑reliability products. - Hands‑on experience with ARM‑based MCUs (e.g. STM32 or TI), including embedded C/C++ development and debugging. - Practical experience designing or modifying electronics for test or control (schematics, interfaces, power, signal integrity basics). - Strong Python skills for test automation, scripting and instrument control (e.g. PyVISA or similar). - Familiarity with Altium Designer (or similar) for PCB design - Comfortable using common lab and RF test equipment such as oscilloscopes, PSUs, multimeters, power loads, VNAs and spectrum analyzers. - Ability to work onsite in Espoo in labs and production areas, including hands‑on support when issues arise. - Strong communication and documentation skills, and a collaborative mindset - Experience with satellite or spacecraft EGSE, nanosatellites or other space/aerospace test systems. Nice to haves: - Exposure to RF test setups (antennas, payloads, RF front‑ends) beyond the basic use of the instruments. - Experience in automation, robotics or similar domains where HW+FW+SW test systems are common. - Familiarity with KiCad, STM32CubeIDE, GCC/GDB or similar toolchains. - Experience developing and standardizing test setups, including documentation and process improvements. Application Process - TA screen - Hiring manager interview - Technical interview + take‑home task - Final onsite interviews WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us - we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: New York 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 As a Staff Software Engineer on the Core Infrastructure team at Harvey, you'll play a critical role in designing and building new infrastructure systems while equally scaling and strengthening our existing infrastructure. Our infrastructure is the foundation that powers every user interaction with Harvey — processing billions of prompt tokens and millions of daily requests across our global legal AI platform. You'll work in an environment balanced between innovation — building new systems — and operational excellence, ensuring that Harvey remains resilient and efficient as it scales products, regions, customers, and usage. Your contributions will directly impact the reliability, scalability, and security of our platform as we serve the world's leading law firms and professional service providers. This role is based in New York City, New York. We use an in-person work model and offer relocation assistance to new employees. WHAT YOU’LL DO - Design and build scalable, fault-tolerant infrastructure systems that power Harvey's AI platform across multiple cloud regions - Own and evolve our multi-cloud infrastructure (Azure, GCP), including Kubernetes orchestration, networking, and container management - Lead technical initiatives around observability, incident response, and operational excellence — building systems that enable rapid detection and resolution of issues - Architect and optimize our distributed systems for reliability, including load balancing, quota management, and failover mechanisms - Partner with Product Engineering and Security teams to ensure our infrastructure is an accelerant, not a constraint - Drive infrastructure-as-code practices using tools like Terraform and Pulumi to enable reproducible, auditable deployments - Mentor engineers and raise the technical bar across the organization through code reviews, design reviews, and technical leadership REPRESENTATIVE PROJECTS - Design and implement a next-generation model proxy architecture that routes millions of daily inference requests while maintaining model API compatibility and enabling seamless model integration - Build distributed rate limiting and quota management systems using Redis-backed algorithms to handle bursty traffic patterns without degrading user experience - Architect multi-region deployment strategies that meet strict data residency requirements for global enterprise customers - Develop comprehensive observability infrastructure with granular SLA monitoring, burn rate alerts, and detailed token attribution for cost tracking - Lead the evolution of our CI/CD pipelines to improve developer velocity while maintaining production stability WHAT YOU HAVE - 10+ years of experience in Infrastructure Engineering or Platform Engineering in a production environment - Long track record building and scaling complex, large-scale distributed systems - Deep proficiency with cloud infrastructure platforms (Azure preferred; GCP or AWS experience transfers well) - Strong fluency in Infrastructure as Code (IaC) tools — Terraform, Pulumi, or CloudFormation - Solid understanding of Kubernetes, container orchestration, networking, and cloud security at scale - Experience with observability tools (Datadog, Sentry) and incident response practices (PagerDuty, Incident.io http://Incident.io) - Strong programming skills in Python, Go, or similar languages - Excellent problem-solving skills, a "spidey sense" of where things could go wrong, and a commitment to operational excellence NICE TO HAVE - Experience building infrastructure for AI/ML workloads or high-throughput inference systems - Background with distributed rate limiting, load balancing, or quota management systems - Experience operating multi-tenant platforms with strict security and compliance requirements - Track record of leading complex cross-functional projects and delivering measurable impact COMPENSATION RANGE $201,000 - $264,000 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-AN2 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: San Francisco 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 As a Staff Software Engineer on the Core Infrastructure team at Harvey, you'll play a critical role in designing and building new infrastructure systems while equally scaling and strengthening our existing infrastructure. Our infrastructure is the foundation that powers every user interaction with Harvey — processing billions of prompt tokens and millions of daily requests across our global legal AI platform. You'll work in an environment balanced between innovation — building new systems — and operational excellence, ensuring that Harvey remains resilient and efficient as it scales products, regions, customers, and usage. Your contributions will directly impact the reliability, scalability, and security of our platform as we serve the world's leading law firms and professional service providers. This role is based in San Francisco, CA. We use an in-person work model and offer relocation assistance to new employees. WHAT YOU’LL DO - Design and build scalable, fault-tolerant infrastructure systems that power Harvey's AI platform across multiple cloud regions - Own and evolve our multi-cloud infrastructure (Azure, GCP), including Kubernetes orchestration, networking, and container management - Lead technical initiatives around observability, incident response, and operational excellence — building systems that enable rapid detection and resolution of issues - Architect and optimize our distributed systems for reliability, including load balancing, quota management, and failover mechanisms - Partner with Product Engineering and Security teams to ensure our infrastructure is an accelerant, not a constraint - Drive infrastructure-as-code practices using tools like Terraform and Pulumi to enable reproducible, auditable deployments - Mentor engineers and raise the technical bar across the organization through code reviews, design reviews, and technical leadership REPRESENTATIVE PROJECTS - Design and implement a next-generation model proxy architecture that routes millions of daily inference requests while maintaining model API compatibility and enabling seamless model integration - Build distributed rate limiting and quota management systems using Redis-backed algorithms to handle bursty traffic patterns without degrading user experience - Architect multi-region deployment strategies that meet strict data residency requirements for global enterprise customers - Develop comprehensive observability infrastructure with granular SLA monitoring, burn rate alerts, and detailed token attribution for cost tracking - Lead the evolution of our CI/CD pipelines to improve developer velocity while maintaining production stability WHAT YOU HAVE - 10+ years of experience in Infrastructure Engineering or Platform Engineering in a production environment - Long track record building and scaling complex, large-scale distributed systems - Deep proficiency with cloud infrastructure platforms (Azure preferred; GCP or AWS experience transfers well) - Strong fluency in Infrastructure as Code (IaC) tools — Terraform, Pulumi, or CloudFormation - Solid understanding of Kubernetes, container orchestration, networking, and cloud security at scale - Experience with observability tools (Datadog, Sentry) and incident response practices (PagerDuty, Incident.io http://Incident.io) - Strong programming skills in Python, Go, or similar languages - Excellent problem-solving skills, a "spidey sense" of where things could go wrong, and a commitment to operational excellence NICE TO HAVE - Experience building infrastructure for AI/ML workloads or high-throughput inference systems - Background with distributed rate limiting, load balancing, or quota management systems - Experience operating multi-tenant platforms with strict security and compliance requirements - Track record of leading complex cross-functional projects and delivering measurable impact COMPENSATION RANGE $236,000 - $290,000 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-AN2 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, NY (HQ); Remote (Canada); San Francisco, CA; Remote (US) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT PRODUCTION ENGINEERING Production Engineering is Ramp's infrastructure ownership layer. We exist to make Ramp faster, more reliable, and more scalable — and we do that by being embedded in the problems, not adjacent to them. A few things that define how we operate: - One team, one company, one objective. There is no "infra team" and "product team" — there is Ramp. We share the company's goals as our own. When a product team struggles with reliability or scalability, that is our struggle. - If reliability or scalability is at risk, we own it. We don't wait to be invited, and we don't ask whose code it is. If a system is slow, if it breaks, if it won't scale — that's ours to lead, regardless of where it lives in the stack. - We go first, and we go fast. When the path isn't obvious, we don't wait for someone else to find it. We move with urgency, propose the solution, align the stakeholders, and stay in until it's done — not until our ticket is closed. - We lead the way. We find the next problem before it finds us. And when we solve it, we don't just fix it for ourselves — the patterns and standards we establish become the foundation the rest of Ramp builds on. That's not a side effect of the job; it's the job. - We stay calibrated. Speed means nothing if we're moving in the wrong direction. We regularly stop and ask honestly whether what we're working on is still the highest-leverage thing we could be doing — the discipline that makes sure our effort compounds toward what actually matters. You cannot build the future of finance on shaky infrastructure. OUR TEAMS Production Engineering is organized into teams — but we think about teams differently. Teams are mutable. We build them around what needs to be done, not around what we need to do given the teams we already have. The structure below reflects our current priorities; it will evolve as Ramp does. Right now, we operate across four areas: - Compute — the foundation everything runs on: container orchestration, networking, load balancing, edge infrastructure, and the deployment systems that get code from engineers' laptops to production reliably and at scale - Storage — databases, caching, object storage, and the data infrastructure that underpins everything - Workflows & Messaging — the systems that power Ramp's financial workflows and event-driven architecture - Internal Infrastructure — the platform that makes every builder at Ramp faster and more autonomous: observability, cost attribution, and CI/CD systems that give teams visibility into what they build and what it costs WHAT YOU'LL DO Production Engineers at Ramp are full software engineers who happen to specialize in infrastructure. You write production code, you own systems end-to-end, and you drive technical outcomes across the organization — not just within your team. Day to day, you will: - Build and operate critical infrastructure across Ramp's compute, storage, messaging, and observability stack — owning the systems that handle real financial transactions at scale. - Drive architectural change — not just flag problems. When you surface a reliability or scalability issue, you own the path forward: you propose the solution, find the owners across engineering, and stay in until it's resolved. - Partner with product teams at the design phase — reviewing architectures, embedding golden paths, and making it easy to build correctly the first time. - Build Ramp's next level of scale — you'll be a hands-on contributor to the most consequential infrastructure shift happening right now: our move to a cellular architecture, enabling Ramp to scale, reach international markets, operate in highly regulated and constrained environments (e.g. FedRAMP), and deliver on enterprise-grade SLAs. - Enable AI-native engineering — as Ramp builds increasingly AI-powered products, PE is the team that makes sure the platform can support them. You'll proactively partner with product teams on AI infrastructure patterns, define the golden paths that turn one-off solutions into reusable foundations, and stay ahead of emerging challenges before they become blockers. - Build developer tooling and self-service infrastructure — so that other teams can answer their own questions (cost, performance, reliability) without involving PE. - Participate in on-call rotation — and more importantly, use every incident as a signal to eliminate the root cause, not just resolve the symptom. - Lead across the company — PE doesn't just review designs or show up when called. We proactively initiate cross-team architectural reviews, and we take full ownership of company-wide reliability and scalability initiatives: identifying the problem, proposing the solution, aligning the stakeholders, and staying in until it's done. WHAT WE LOOK FOR We don't hire for a checklist. We hire for the instincts that make someone exceptional on this team. The mindset we're looking for: - You can't walk past something broken without wanting to fix it — and you don't stop at the workaround. You find the root cause and eliminate the class of problem. - You think in systems, not tasks. You understand that "fixing the bug" is step one; making it so the bug can't happen again is the job. - You move with urgency but without chaos. You know when to go fast and when to slow down and do it right. - You treat product teams as your users. You build for them, communicate with them proactively, and measure success by how much faster they can ship. But you're also an owner — when something is broken or blocking, you don't wait to be asked. We win when our customers win. - You leave things better than you found them. Every system you touch, every process you encounter — you move it forward. Not always dramatically, but always directionally. You picked it up in a certain state; you leave it in a better one. - You are equally comfortable reading a database query plan, reviewing a system design doc, writing a Terraform module, and jumping into an incident at 2am. Experience profile: - 2+ years of software engineering experience shipping high-quality architectures for critical systems - Strong software engineering fundamentals — you write clean, well-tested, production-ready code - Hands-on experience with distributed systems at production scale - Experience with at least one major cloud provider (AWS preferred) - Familiarity with observability practices (SLOs, error budgets, alerting, dashboards) - Track record of leading technical projects end-to-end, including cross-team coordination - Comfortable using AI tooling and coding agents as part of your everyday engineering workflow — we expect our engineers to leverage these tools to move faster and think bigger Bonus (not required): - Experience with cellular or multi-tenant architecture patterns - Prior work on workflow orchestration systems (Temporal) - Contributions to developer experience or internal platform tooling - Experience in fintech, payments, or regulated industries (FedRAMP, SOC 2) BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice