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Location: Kuala Lumpur, Malaysia About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. About This Role We are building the next-generation Financial Cloud platform, enabling Bybit to deploy and operate regulated financial services across 50+ global sites, each subject to different compliance requirements (EU MiCA, APAC licenses, etc.). Each site is a unique combination of business modules, infrastructure configurations, and compliance controls — managed as versioned, reproducible units. As a Senior DevOps Engineer for the Financial Cloud Toolchain, you will drive the end-to-end developer experience and deployment automation for this multi-site platform. You will design and build systems that ensure every deployment is reproducible, every dependency is traceable, and every site automatically and safely converges to its declared state. What You'll Do Build & Release Engineering (40%) Design and implement hermetic, deterministic build pipelines that produce reproducible artifacts for all platform modules Build and maintain a content-addressable artifact registry with full provenance capabilities (SLSA L3+) Implement dependency graph analysis tooling to compute build/deploy blast radius for every change Own the Version Set model: define, validate, and promote locked module-version combinations ("Manifests") through environment stages Enforce semantic versioning governance and automated compatibility verification across 50+ independently versioned modules Multi-Site Deployment Orchestration (30%) Design a GitOps-based deployment engine that reconciles each site to its target Manifest state Build progressive rollout capabilities: canary → regional → global, with automatic rollback on SLO violations Implement site-aware configuration rendering: given a site's Manifest + region + compliance tier, produce the complete deployable state Create an automated upgrade plan generator: compute safe upgrade paths based on dependency ordering and compatibility constraints Operate and evolve the Financial Cloud configuration center and module selection center Internal Developer Platform (20%) Build self-service workflows for module teams: onboard new modules, publish versions, request promotion to production Manifests Provide real-time visibility: cross-site version drift, deployment health, dependency freshness, compliance patch coverage Design the "Module → Manifest" pipeline: from module selection to validated Manifest generation in ≤30 minutes Integrate with internal CI systems to provide selective test execution based on dependency graph analysis Reliability & Compliance Automation (10%) Automate compliance evidence generation for regulated deployments (audit trails, SBOMs, change records) Design cold-start orchestration that automatically derives correct startup ordering from the dependency graph Build chaos testing frameworks to validate site-level DR and failover under real module compositions Ensure Phase 1 infrastructure deployment automation ≥95%, Phase 2 data layer ≥90%, Phase 3 business applications ≥90% ────── What We're Looking For Must-Have 8+ years in platform engineering, DevOps, or infrastructure toolchain development, serving 500+ services or 100+ engineers Deep hands-on experience with build systems — you've designed or operated them, not just consumed them Track record of building dependency graph tooling — static analysis, runtime tracing, or both — for impact analysis and selective testing Experience designing and operating version governance systems: BOM/Manifest models, compatibility matrices, constraint solving Production GitOps deployment experience spanning multi-cluster / multi-region environments Solid Kubernetes expertise: custom Controllers, Operators, CRDs for platform automation Artifact management and supply chain security experience: content-addressable storage, SLSA attestation, SBOM generation, artifact signing Strong Plus Experience building an Internal Developer Platform (IDP) with self-service module onboarding and promotion workflows Large-scale monorepo governance: code ownership, visibility boundaries, build graph optimization Financial or regulated industry experience: understanding of compliance-as-code, audit automation, multi-jurisdictional requirements Multi-site / multi-tenant SaaS platform experience where each site has a different module composition Familiarity with constraint solvers or package manager dependency resolution algorithms (SAT solvers, version unification) Cryptocurrency / fintech platform experience, especially exchange or trading infrastructure Nice-to-Have Toolchain development experience in Rust, Go, or Python Familiarity with Terraform / Pulumi infrastructure-as-code Experience with OPA / Rego for policy-as-code in deployment pipelines Experience operating platforms across China / APAC / EU regions with understanding of data residency requirements Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

Location: New York, NY, United States About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. About the Team Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin. As a Staff Software Engineer, you'll play a key leadership role within the Sportsbook team at FBG, driving the design and development of a highly scalable, fault-tolerant online sportsbook platform. You'll work on critical areas such as sportsbook market integration, risk management, tooling and other backed systems that deliver seamless customer experiences. In addition to hands-on technical contributions, you'll provide technical mentorship, guide architectural decisions, and analyze complex system challenges to ensure robust and efficient solutions. You'll collaborate across teams, influencing best practices and leading key projects that enhance the sportsbook experience within the broader Fanatics ecosystem. Responsibilities Drive the development, testing, documentation, and deployment of high-quality, stable, scalable software into production Develop a comprehensive understanding of the industry, product, and roadmap, leveraging this knowledge to shape team strategy and influence the direction of the organization Lead the end-to-end technical execution of complex features and systems, from ideation and architecture to deployment and refinement Align and streamline designs across your department, promoting clarity and simplicity in technical direction while upholding organizational goals. Partner closely with product, design, and other stakeholders to make high-impact technical decisions that align with both business goals and long-term scalability Lead incident resolution as part of the on-call rotation, ensuring swift diagnosis and remediation of critical software issues Proactively identify and remove roadblocks, occasionally collaborating cross-team collaboration to maintain momentum on complex projects Conduct and elevate code reviews, sharing expertise to enhance code quality Steer team planning and design discussions, introducing innovative approaches to solve technical challenges and optimize design patterns Champion improvements to software quality, testability, operational metrics, and team documentation, setting a higher standard for the organization Mentor and coach engineers at all levels, fostering a culture of continuous learning and professional growth across the team Be open to occasional travel to Fanatics offices and other locations for conferences, events, meetings, and team-building activities Required Qualifications 7+ years of experience building highly scalable, performant and evolvable backend distributed systems; proficiency in Spring and Java is a must. Demonstrated ability to drive best practices in backend development and mentor others in effective coding and architectural strategies, such as clean code, domain driven design and other design and architectural patterns Knowledge of observability practices, including logging, monitoring, and tracing in distributed systems. Expertise in Agile software delivery, with a track record of modeling and driving process improvements across teams, and ability to collaborate cross-functionally across diverse teams within large enterprise environments, driving alignment and shared success. Excellent communication skills, capable of conveying complex technical concepts clearly and effectively to diverse audiences, including engineers, executives, and non-technical stakeholders. Adaptable mindset, comfortable with shifting priorities and new initiatives in a fast-paced, evolving organization. Team-first mentality, with a willingness to do what it takes to get the job done and a desire to strive for better. Preferred Qualifications Strong Experience in the sports industry, gaming and content delivery Highly effective with Java, Spring boot, React. Expertise in messaging technologies such as Kafka with a solid understanding of event-driven architectures. Comfortable working with Cloud Native and Infrastructure as Code, like Kubernetes, Helm and Terraform Ability to work in diverse codebases, both legacy and greenfield, in different languages and environments Background in startups or high-growth environments. Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ #LI-KR1 Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $144,400 — $237,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations Austin, US Atlanta, GA Denver, CO San Francisco, CA Washington D.C. About the Role Cloudflare runs one of the world's largest networks, and every API call that configures it, from any customer, integration, or internal service, starts by proving who is calling and what they're allowed to do. The IAM team owns the authentication and authorization systems behind that: the identity layer of the Control Plane operating at global scale. Our surface spans things like login and SSO, OAuth and API tokens, account membership, roles and permissions, and SCIM provisioning. We're hiring a hands-on senior engineer to work on correctness-critical, high-throughput, highly resilient services. You'll own surfaces end-to-end, chase down hard problems with high agency, and improve systems while they're serving production traffic. Responsibilities Feature development : design and build high-throughput, low-latency IAM capabilities that power both customer-facing and internal service APIs. System evolution : contribute to the design and evolution of our authentication and authorization systems into modern, distributed, and edge-capable architectures. API and system design : translate product and security requirements into robust, well-structured APIs and technical specifications in collaboration with Product, Security, and UX teams. Engineering excellence : maintain a high bar through thorough code reviews, technical design documents, and collaborative problem-solving. Operational stewardship : own the reliability of the platform under constant load, ensuring observability and resilience are built into every service. AI-assisted development : use AI tools throughout your workflow, from code generation to debugging, and bring the judgment to know when to trust them. Desirable Skills, Knowledge, and Experience These are examples of what a strong candidate brings: Professional Experience: 5-8 years building and operating production systems at scale. Identity Domain Knowledge: Working knowledge of identity protocols and models (OAuth 2.0, OIDC, SAML, SCIM, RBAC/ABAC, and session management, etc.). Hands-on experience implementing identity protocols or fine-grained authorization systems, RBAC, ABAC, relationship-based access control, or policy engines (such as Cedar), in production. Language Proficiency: Proficiency in languages like Go and Typescript and comfort working across Cloudflare’s tech stack. API Design: Experience designing and building REST APIs: routing, authentication, request lifecycle, and versioning. Database & Storage: PostgreSQL and Redis experience: schema design, query optimization, caching strategies, and consistency tradeoffs. Distributed Systems: Strong distributed systems intuition: consistency models, event-driven replication, and the implications of global state propagation. High Agency: High standards for correctness and security; curious, self-directed, and comfortable driving ambiguous problems to resolution across team boundaries. Bonus Points Experience with credential and token lifecycle systems: issuance, rotation, scoping, revocation, or service-to-service authentication at scale. Familiarity with the Cloudflare developer platform: Workers, Durable Objects, KV, R2, etc. Experience incrementally re-architecting a large, long-lived codebase under production traffic, and familiarity with containerized deployment (Docker, Kubernetes), infrastructure as code (Terraform), and observability tooling (Prometheus, Grafana, Kibana). Equity This role is eligible to participate in Cloudflare's equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: United Kingdom; Ireland; Poland Workplace: Remote The Role We are looking for a Senior Partner Deployed Engineer to join the Customer Solutions team, focused on building Coder’s partner ecosystem across EMEA. This is a new function at Coder, modeled on the Forward Deployed Engineer role pioneered by companies like Palantir and now the fastest-growing technical role at frontier AI companies. The difference: instead of embedding with a single customer to deploy a platform, you embed with strategic partners to help them understand, position, and deliver Coder’s platform across their entire customer base. You are part Field CTO, part Industry Strategist, part Technical Specialist, and part Partner Relations Lead. You will be the technical authority within our EMEA partner ecosystem: setting the vision for how Coder fits into each partner’s AI, cloud, and modernization offerings, co-creating the GTM sales plays that partner sellers take to market, building the demonstrations and workshops that generate pipeline, and producing the Partner Relations content that establishes Coder’s technical brand in the ecosystem. This is not a support role. You are equally comfortable holding a strategic roadmap conversation with a partner CTO and debugging a Kubernetes deployment in a partner’s lab in the same afternoon. You are energized by the challenge of building a new category through partnerships, motivated by the multiplied impact of enabling an entire ecosystem rather than a single customer, and capable of operating with full autonomy in a fast-moving startup environment. What You’ll Do - Serve as the strategic technical thought partner to EMEA partner leadership, including practice leads, CTOs, and solutions architects at global systems integrators, regional cloud consultancies, and hyperscaler field teams. Own the technical relationship and set the vision for how Coder fits into each partner’s AI and modernization portfolio. - Co-create sales plays tailored to each partner’s customer base, vertical focus, and services capabilities. Author Working Backwards outcome proposals for strategic partner-customer combinations that translate AI Development Infrastructure into deal-level urgency. - Develop and deliver workshops, Builder Labs, and partner-hosted enablement sessions as the primary awareness and demand generation vehicle for the EMEA ecosystem. Build hands-on demonstration environments and interactive experiences that partners can use independently. - Intervene directly on the highest-value partner-attached deals across EMEA: co-sell calls, technical discovery, PoV scoping, architecture review, and technical win support. Own the engagement until the partner’s team can carry it independently. - Transform bespoke partner enablement sessions into structured LMS modules and certification tiers that scale across the EMEA partner base without requiring live PDE support for each new partner. - Produce “better together” reference architectures for strategic partner combinations across cloud providers and AI platforms. Include deployment diagrams, network topology, IAM patterns, and operational runbooks that partner SAs can hand directly to customers. - Codify each successful partner engagement into a repeatable GTM play: trigger conditions, discovery questions, positioning framework, demo script, PoV scope template, and expected outcomes. Build a playbook library that a new PDE or partner seller can pick up and run. - Build AI-powered self-service tools that automate high-volume PDE activities: Opportunity Brief Generator, PR/FAQ Generator, Workshop-in-a-Box deployment, and demo site builder. - Produce a monthly partner intelligence digest from EMEA engagements: what customers are asking for, how competitors are positioning, where integrations are missing, which vertical use cases are emerging. Distribute to Product, Engineering, and GTM leadership. - Own the EMEA-relevant portions of the joint technical integration roadmap with strategic partners. Define priorities cross-functionally with Product and Engineering based on field signals from the EMEA market. - Create and publish Partner Relations content, the ecosystem equivalent of Developer Relations: technical blog posts, cookbooks, partner ecosystem conference talks, enablement videos, and workshop recaps. Build Coder’s technical brand within the EMEA partner community. - Contribute to cloud marketplace product listing stewardship, competency maintenance documentation, and CSP co-build technical requirements as they apply to EMEA-specific partner and compliance contexts. What We’re Looking For - 7+ years of experience in a combination of Forward Deployed Engineering, Solutions Architecture, Field CTO, Technical Consulting, or Developer Relations roles at an infrastructure, developer tools, or AI company - Demonstrated experience helping partners or customers understand and adopt products in emerging or undefined categories, not just executing playbooks for established ones - Proven hands-on experience designing and deploying cloud infrastructure on at least one major cloud provider (AWS, Google Cloud, or Microsoft Azure), with production-level Kubernetes and Terraform depth. You have done the work and can speak to it with specificity. - 2+ years deploying or operating AI coding agents in a production or near-production environment: you understand how agent loops execute, where credentials live, and what governance and audit requirements look like in a European enterprise context - Ability to articulate the architectural difference between workspace-local agent tooling and a centralized agentic harness, and to explain why that distinction matters to a security, compliance, or data sovereignty stakeholder - Experience working with channel or technology partners in a co-sell model: hyperscaler partner programs, GSI/RSI partnerships, or VAR/distributor ecosystems in EMEA markets - Experience building repeatable technical GTM assets that scaled beyond your personal delivery: sales plays, enablement curricula, reference architectures, or technical content programs - Executive communication and Field CTO credibility: you can hold a technical vision conversation with a partner CTO and a deal-level architecture review with an SE in the same day, in English and ideally at least one additional European language - Strong written communication: you can produce a Working Backwards PR/FAQ, a technical architecture document, and a blog post without those being separate skills requiring separate people - Self-directed, analytically minded, and comfortable operating with full autonomy. You will define processes that don’t exist, build tools that haven’t been scoped, and create a function from first principles in a new region. Bonus Points (Bonus tacos? That’s how we say thanks at Coder. Ask us about it.) - Prior Forward Deployed Engineer experience at a platform company (Palantir, Scale AI, frontier AI lab, or equivalent embedded deployment model) - Track record of public technical advocacy: blog posts, conference talks, open-source contributions, or developer/partner community engagement - Experience with hyperscaler partner programs (e.g., ISV Accelerate, strategic collaboration agreements, co-sell programs) at an operational level - Familiarity with European regulatory environments: GDPR, DORA, NIS2, AI Act compliance requirements, and data sovereignty patterns for cloud-native deployments - Experience with air-gapped or network-isolated deployments common in European financial services, government, or defense contexts - Background in AI governance frameworks, session audit requirements, or SIEM integration for AI workloads - Experience with LLM gateway or proxy infrastructure (LiteLLM, OpenRouter, or equivalent) in a multi-team or enterprise context - Experience designing human-in-the-loop breakpoints or escalation patterns for autonomous agent workflows - Kubernetes certification (CKA, CKAD, or CKS) - Experience with Tailscale or similar overlay networking tools - Open-source contributions, particularly in CNCF, MCP, or AI agent ecosystems - Existing relationships with hyperscaler EMEA solutions architecture teams, European GSI technical practices, or AI infrastructure partner ecosystems - Fluency in German, French, or a Nordic language in addition to English What Success Looks Like - You have done the hard technical work before: deploying cloud-native infrastructure, navigating Kubernetes in production, building with Terraform, and operating in the complexity of large European enterprise environments. You bring that credibility into every partner conversation. - You can walk a partner CTO through how Coder enables parallelized AI agents in a regulated European enterprise, covering credential isolation, audit lineage, GDPR-compliant data handling, and escalation design, and turn that conversation into a joint GTM play their sellers can run next quarter. - You can walk into an unstructured partner relationship, assess the technical and commercial opportunity, and chart a path from first enablement session to first co-sourced deal without waiting to be told what to do. - You translate deep technical knowledge into assets that scale: reference architectures partners hand to their customers, enablement modules partners consume on their own, and GTM playbooks partner sellers run without PDE involvement. - You are as invested in the pattern behind the engagement as you are in the engagement itself. Every bespoke partner interaction produces a reusable artifact. Every field insight feeds back to product. You codify by instinct. - You make the ecosystem and the product better: your field experience shapes how Coder builds integrations, how partners deliver, and how the EMEA market understands AI Development Infrastructure as a category. Location: Remote EMEA (UK preferred) Department: Customer Solutions Reports to: Sr Manager, Solutions Engineering ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

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. About the Role Affirm is building its own bank — and this role is one of the most senior individual-contributor seats on the engineering team that runs it. We're looking for a Staff Software Engineer to be a technical anchor for a deliberately small, AI-native team that owns the systems behind Affirm's bank: vendor-integrated banking infrastructure, the data platform, and the operational tooling that holds it all together. You'll set technical direction across that surface area, own the hardest problems on the team — including the Bank ↔ Affirm Inc integration boundary — and operate with direct exposure to senior bank and Affirm leadership. This is a rare opportunity to shape a new business from its very first systems — a startup-like build inside an established company — at a level of ownership that goes beyond delivering your own projects. As a Staff engineer here you set the bar: the architecture, the standards, and the technical strategy that the rest of the team builds against. The team is small and AI-native, the surface area is broad, and the decisions you make carry far — every system you ship serves real customers under a real bank charter, and the patterns you establish determine what the bank becomes. What You'll Do Set technical direction across the bank's systems. Own the medium-to-long-term technical strategy for the bank's core surfaces — cloud infrastructure, data platform, core banking configuration, CI/CD, networking, and the Bank ↔ Affirm Inc integration — and make the architecture calls the rest of the team builds against. Generalist breadth is expected; you go deep where the risk is highest. Own the hardest problems end-to-end. Personally design, build, integrate, and operate the most ambiguous and highest-stakes pieces of the stack, and own incident response for them. You take the problems no one else can fully scope and turn them into well-defined systems with clear failure domains, monitoring, and runbooks. Be the force multiplier on a small team. Set and hold the bar for code review, design review, and examiner-readable documentation. Establish the patterns and standards that let a deliberately small team punch far above its size, and level up every engineer who joins after you. Ship AI-first, and push the frontier of it. Treat AI tools and agentic workflows as a load-bearing capability for code, design review, runbook generation, and operations — and actively push yourself and the team on what an AI-leveraged engineering function can deliver in place of additional headcount. Lead vendor selection and ownership. Drive evaluation, integration, and ongoing oversight of the bank's third-party platforms across the core, data, identity, observability, and card-processing stacks. Carry the bank's most critical vendor relationships end-to-end: integration, operations, escalation, and audit. Define the integration boundary with Affirm Inc. Set the domain edges, data flows, and integration patterns between the bank and Affirm Inc so the bank's products work seamlessly inside the Affirm ecosystem while preserving the legal and regulatory separation the charter requires. Drive this across Affirm Inc engineering teams whose systems integrate with the bank's. Build for examiners. Partner with Legal, Compliance, Risk, BSA/AML, Finance, and Internal Audit so compliance is a property of the product from day one. The systems you design are the artifacts FDIC and state examiners will inspect — design and document them to a standard that holds up under examination and audit review. Own the operational posture of the bank's systems. Set the reliability, observability, alerting, runbook, incident-response, and disaster-recovery practices that keep the bank standalone-operable and audit-ready, while keeping the operational footprint intentionally small. You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts. Influence up and across the organization. Communicate technical strategy, tradeoffs, and constraints with clarity to bank executives, the Bank Board, Compliance, Risk — and to engineers outside the bank across the broader Affirm org. The relationships you build beyond the team shape how cleanly the integration boundary works. Help grow the team and the bar. As engineers join, they inherit a function whose architecture, practices, and standards you helped set. Mentor peers, provide high-signal feedback, contribute to hiring, and lead by example. What We Look For 8+ years of software engineering experience, with staff-level, hands-on builder credentials and a track record of owning ambiguous, high-stakes systems end-to-end through launch and operations Comfortable owning ambiguity at the largest scale on the team — you move fast, make the tough prioritization calls, take ownership before being asked, and balance speed with the engineering judgment the hardest decisions require Hungry to leverage AI to drive outcomes — fluent with AI-assisted development tools (Claude, Cursor, Codex, agentic workflows) and actively pushing yourself and your team to use them as a multiplier for code quality, velocity, and what a deliberately small team can ship Bias toward simplicity — experience building toward a small, lean engineering culture that rewards "buy over build", a default-deny posture, and standalone-operability over an abundance of tooling A track record of setting technical direction — you've defined architecture and multi-quarter technical strategy for systems beyond your own projects, and led the execution of it across engineers and teams without needing a management title to do so Deep systems thinking across public cloud infrastructure (AWS preferred), infrastructure-as-code (Terraform), and cloud data platforms (Snowflake or comparable) — you understand their failure modes and tradeoffs, not just their surface APIs Regulated-environment experience — direct work in banking, payments, securities, healthcare, or another setting subject to external examination, where the work involves examiner-facing documentation and decisions Direct experience selecting, integrating, and operating meaningful third-party platforms under operational ownership after launch Comfortable as the technical face of the work to non-engineering stakeholders — bank executives, the Board, Compliance, Risk, Finance, and examiners — and able to document decisions so they hold up under audit review Exceptional written and verbal communication — you can distill complex technical, regulatory, and operational concepts into clear narratives for executives, boards, and non-engineering audiences This position requires either equivalent practical experience or a Bachelor’s degree in a related field Nice to have Prior work inside a bank, neobank, Banking-as-a-Service provider, card issuer/processor, or fintech with a chartered bank subsidiary Direct experience with a de novo bank launch, an early-stage bank buildout, or a greenfield regulated platform Hands-on experience with a bank core, card processing / issuer processor integration, or digital bank experience integration Hands-on experience standing up a greenfield cloud organization — fresh cloud org, IAM model, and data platform — under a tight, default-deny security posture Familiarity with the regulatory framework that shapes the work: FDIC examinations, GLBA / Reg P (affiliate data sharing), BSA/AML, Reg E, Reg DD, Reg Z, model risk, and third-party risk management Compensation & Location Base Pay Grade - P Equity Grade - USA 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 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). 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 Benefits 100% employer-subsidized medical, dental, and vision coverage for employees and dependents Flexible spending wallets for technology, food, lifestyle, and family formation Competitive vacation and holiday schedules Employee Stock Purchase Plan #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 - EMEA Workplace: Remote ABOUT US Launched in 2019, Constructor is an AI-first e-commerce search and discovery platform that helps shoppers find the right products at the right time and enables leading global e-commerce brands to drive meaningful revenue and conversion gains. ABOUT THE ROLE The ML Infrastructure team builds and operates the shared backend services and platform capabilities that Constructor's ML and product teams rely on to develop, deploy, and run machine learning at scale - from model serving (including LLMs) to the specialized storages and data pipelines behind it. We are a service team by nature: our roadmap is shaped by the needs of product teams, and we succeed when they can move faster with less friction. We're looking for a Senior Backend Engineer who is comfortable with, and motivated by this dynamic, and who will take end-to-end ownership of core services. In the near and mid-term, our focus areas include: - Making ML workloads easy to run, scale, and operate for every team - Providing self-service, configurable infrastructure components to ML and product teams - Owning and evolving core ML services and related pipelines with a high bar for reliability and performance CHALLENGES YOU WILL TACKLE - Design, build, and operate high-load distributed backend services that power the company's ML infrastructure - Take end-to-end ownership of core ML services and related data pipelines: from design and implementation to deployment, observability, and continuous improvement - Partner with ML and product teams to understand their needs and turn them into reliable, reusable platform capabilities - Make and defend technical decisions: evaluate trade-offs, design first, and own the outcome - Be responsible for what you and your team do REQUIREMENTS - 5+ years of professional experience in backend or platform engineering - Extensive Python knowledge (our primary language) - Hands-on experience developing on a public cloud (AWS, GCP, or Azure) or with self-managed Kubernetes - AWS is our primary platform, but we're not limited to it - Experience designing and building distributed, high-load services and APIs - Strong knowledge of data structures, algorithms, and their trade-offs - Design-driven engineering mindset: we're a coding-assistant-friendly environment and expect you to use modern AI tools - but you lead with system design and a strong understanding of their applicability and trade-offs - Ownership and proactivity: you can't close your eyes to problems, but are ready to solve them and take responsibility for outcomes - You are friendly and willing to help your teammates & others NICE TO HAVE: - Experience with Rust (or C/C++/Go) - a strong plus - Experience developing or contributing to ML platforms or ML infrastructure - a strong plus - Experience setting up and operating any vector database (Qdrant, Milvus, Weaviate, OpenSearch, pgvector, etc.) - a strong plus - Experience with model serving / inference infrastructure, including LLMs - Experience with Infrastructure as Code (Terraform or similar) BENEFITS - 🏝️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year - 🌎 Fully remote team - choose where you live - 🛋️ Work from home stipend! We want you to have the resources you need to set up your home office - 💻 Apple laptops provided for new employees - 🧑‍🎓 Training and development budget for every employee, refreshed each year - 👪 Maternity & Paternity leave for qualified employees - 🧠 Work with smart people who will help you grow and make a meaningful impact - 💵 Base salary: $80k–$120k USD, depending on knowledge, skills, experience, and interview results - 📈 Stock options - offered in addition to the base salary - 🎉 Regular team offsites to connect and collaborate DIVERSITY, EQUITY, AND INCLUSION AT CONSTRUCTOR At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications. How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.

Location: New York, NY, United States About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. About the Team Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin. This is remote position based in the US. Fanatics Betting & Gaming (FBG) is seeking a highly capable Senior Systems Engineer to join our Enterprise Systems team, with a primary focus on Okta administration and managing the portfolio of SaaS platforms. In this role, you'll be responsible for implementing and maintaining secure, scalable identity and access management solutions, as well as supporting the lifecycle and integration of key SaaS applications. This is a hands-on, technical role requiring strong collaboration, problem-solving skills, and a solid understanding of modern enterprise IT systems. Responsibilities Advanced Identity Architecture: Lead the administration and enhancement of Okta, including the design of SSO, MFA, and complex Lifecycle Management (LCM) strategies. Strategic Automation: Develop and maintain high-scale automated workflows using Okta Workflows, REST APIs, and identity orchestration tools to ensure seamless onboarding, offboarding, and access governance. IAM & Zero Trust Strategy: Contribute to the enterprise IAM strategy, implementing Zero Trust architecture and robust Role-Based Access Control (RBAC) policies across the organization. SaaS Portfolio Management: Evaluate and lead the technical onboarding of new SaaS tools, ensuring they meet strict security, compliance, and integration standards. Cross-Functional Collaboration: Partner deeply with InfoSec, HRIS, and other business units to ensure identity platforms align with organizational growth and security requirements. Incident Leadership & COEs: Participate in incident response and root cause analysis (COEs); serve as the ultimate escalation point for the most complex platform issues. Roadmapping & Improvement: Contribute to enterprise systems roadmaps and tool selection, identifying opportunities for continuous improvement and operational efficiency. High-Level Documentation: Author comprehensive technical standards, system configurations, and procedural runbooks to support audit, compliance, and team knowledge sharing. Participate in on-call rotation. Experience and Skills 5+ years of experience in enterprise IT or systems engineering, with at least 2 years of deep, hands-on experience specifically in Okta administration. Protocol Expertise: Strong command of SSO protocols (SAML, OIDC, OAuth) and modern IAM best practices. Enterprise SaaS Management: Proven experience integrating and securing major SaaS platforms in a high-growth, regulated environment. Technical Automation: Proficiency with scripting and automation tools, including Python, PowerShell, Postman, and Okta Workflows. API Integration: Expert ability to work with REST APIs for complex system integration and data orchestration. Agile Proficiency: Extensive experience working in an Agile, sprint-based environment, utilizing Jira for sprint planning and progress tracking. Nice to Have Certifications: Okta Certified Professional or Administrator (Okta Certified Consultant is a plus). Governance Experience: Familiarity with identity governance tools or privileged access management. Infrastructure as Code (IaC): Experience using tools like Terraform to manage cloud identity or SaaS configurations. ITSM Knowledge: Familiarity with professional ITSM frameworks and service delivery processes. Leadership Qualities: A natural inclination toward mentoring others and contributing to architectural discussions. Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $133,920 — $167,400 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: Dubai, United Arab Emirates Job Description We are looking for an experienced DevOps Engineer to build, automate, and manage enterprise deployment environments with a strong focus on air-gapped infrastructure and OpenShift clusters . The ideal candidate will design and maintain CI/CD pipelines, automate infrastructure, manage containerized applications, and ensure secure, reliable, and scalable deployments. Key Responsibilities Design, implement, and maintain CI/CD pipelines for application and AI solution deployments. Work in air-gapped environments and manage OpenShift clusters . Automate infrastructure provisioning, configuration, and deployment processes. Manage containers, orchestration platforms, and deployment environments. Monitor application performance, availability, and operational health. Implement logging, monitoring, alerting, backup, and disaster recovery solutions. Apply infrastructure security best practices, secrets management, and system hardening. Optimize deployment efficiency, scalability, reliability, and operational costs. Support release management, production deployments, and incident resolution. Collaborate with development, AI, QA, and infrastructure teams. Requirements Bachelor's degree in Computer Science, Information Technology, or a related field. 5+ years of DevOps experience. Hands-on experience working in air-gapped environments . Strong experience managing Red Hat OpenShift clusters. Experience designing and maintaining CI/CD pipelines . Experience with Docker and Kubernetes/OpenShift . Experience automating infrastructure using Ansible , Terraform , or similar tools. Experience with Linux administration and shell scripting. Experience implementing monitoring and logging solutions (e.g., Prometheus, Grafana, ELK, Splunk). Experience with backup, disaster recovery, and infrastructure security. Knowledge of secrets management and infrastructure hardening. Strong troubleshooting and problem-solving skills.

Location: Remote - Americas Who We Are: Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. Your Role: We're seeking an Engineering Manager for Canada to establish Alpaca's engineering presence in the Canadian market from the ground up. In the near term you will be very hands-on: architecting and building critical financial infrastructure yourself, hiring the first few engineers, and shaping the technical strategy for one of North America's largest and most sophisticated financial markets. You will be the strategic technical leader for Canada operations. For the near term this is not a pure engineering management role: you will work with a small founding team, spend most of your time designing and writing production code, and stay close enough to the day-to-day work to make sound architectural calls. You will act as the key liaison between engineering and executive leadership, and work directly with finance, operations, product, legal, compliance, partners, and regulators (CIRO). What you build here becomes the foundation for launching in Canada and for scaling to similar international markets. Success is measured by a working, compliant Canadian brokerage platform that partners can launch on, and an engineering organization that can run and grow it. Location: Remote within Canada. Collaboration with APAC, Americas, and EMEA teams will occasionally require meetings outside regular working hours. What You'll Walk Into You won't be starting from a blank page. You'll own a defined build: An emerging Canadian brokerage solution: an MVP for localized infrastructure and a Canadian Ledger instance, account creation and KYC, funding and foreign exchange (CAD), settlement, corporate actions, compliance and regulatory reporting, trading, and reporting. A highly regulated environment: CIRO requirements, data residency, and disaster recovery and business continuity expectations shape architecture from day one. A global core platform: you'll work with Alpaca's core teams to extend the shared framework for Canadian markets, currencies, and regulatory requirements, rather than forking it. Partners waiting to launch: the platform must scale across multiple Canadian fintech partners, not just the first one. A small founding team to build: a few engineers to start. Hiring standards, engineering culture, and practices for Canada are yours to establish, and you will write code with them. Things You Get To Do Team building & leadership Hire and lead Canada's founding engineering team: standards, culture, and technical practices. In the near term you work alongside a few engineers, in the code, rather than running several teams. Lead regional recruitment and build a diverse, high-performing team. Establish engineering best practices, code review standards, and technical decision-making frameworks suited to the Canadian market context. Foster Alpaca culture in the region while adapting practices to local market dynamics and regulatory requirements. Mentor those engineers directly and define clear ownership for the work you are building together. Strategic technical leadership Set the technical strategy for Canada operations and align it with broader business objectives alongside senior leadership. Take complex technical projects through design and production yourself, holding the bar for scalability, reliability, and industry best practices. Introduce new ideas and technologies in the systems you are building, and bring the founding team along as it grows. Contribute to company-wide policies and help establish Alpaca as a technical leader in the Canadian fintech ecosystem. Technical architecture & implementation Design and build mission-critical financial systems for Canada yourself, including the Canadian Ledger, multi-currency transaction processing, regulatory reporting, and compliance systems. Write and ship the backend services where reliability, scalability, and regulatory compliance are paramount, and review the code the team produces. Own the key Canadian brokerage capabilities: localized infrastructure and ledger, account creation and KYC, funding and FX, settlement, corporate actions, compliance and regulatory reporting, trading, and reporting. Drive decisions on cloud infrastructure, data residency, security, and observability, and establish infrastructure patterns for Canadian deployments that meet CIRO requirements. Business, partner & regulatory engagement Work with finance, operations, product, legal, and compliance to translate complex business requirements into robust technical solutions. Engage with regulators (CIRO), vendors, and partner operations teams so systems comply with Canadian market regulations. Work closely with partners on requirements, technical integration, and successful launch. Communicate status, risks, and trade-offs clearly to technical and non-technical audiences, including C-level executives. Contribute technical insight to strategic planning and market-expansion decisions. Operational excellence Own operational reliability for Canada and serve as incident commander during regional business hours, with proactive 24x7 stability. Establish monitoring, alerting, and incident response practices tailored to Canadian operations and regulatory requirements. Establish disaster recovery and business continuity practices that meet CIRO requirements. Lead troubleshooting of critical incidents and participate in on-call rotations. Manage infrastructure and service vendors, including provisioning, upgrades, and incident resolution. Global collaboration Collaborate with tech leads in APAC, Americas, and EMEA, synchronously and asynchronously. Lead cross-functional, cross-region projects and influence architecture across the organization while addressing Canada-specific requirements. Set clear ownership boundaries and async-first practices to reduce cross-time-zone dependencies. Who You Are (Must-Haves) 10+ years of professional software engineering experience, with a track record of architecting and building complex, large-scale financial systems in production, and recent hands-on coding rather than a long stretch away from the codebase. Proven experience as a hands-on engineering lead: shipping production systems while hiring and leading engineers, and acting as the liaison between engineering and executive leadership. Deep expertise in Go or a similar backend language, with exceptional system design skills and sound judgement on architectural trade-offs. Hands-on experience with financial systems: double-entry accounting, ledger structures, transaction reconciliation, and multi-currency processing. Experience designing event-driven architectures for large-scale distributed systems, including message queues, pub/sub, and asynchronous processing. Production experience with cloud infrastructure (GCP, AWS, or Azure), Kubernetes, infrastructure as code (Terraform, Ansible), GitOps, and observability and incident management. Familiarity with financial-markets regulatory compliance, ideally Canadian or North American, including data residency requirements for financial services. Understanding of brokerage operations: account management, KYC, trade settlement, corporate actions, FX, and regulatory reporting. Experience engaging regulators, partners, and senior stakeholders, and explaining complex technical concepts to non-technical audiences, including executives and board members. Ability to act as incident commander and deliver complex projects on tight timelines without compromising quality or compliance. Experience in a startup or fast-growing technology company, preferably in fintech or financial services. Who You Might Be (Nice-to-Haves) Experience in the Canadian financial services sector or a CIRO-regulated environment. Experience building teams in Canada or other North American markets. Familiarity with the Canadian fintech ecosystem, market dynamics, and competitive landscape. Experience with partner integrations and B2B2C financial services platforms. Experience launching new markets or products in regulated financial environments. Experience managing vendors, organizational budgeting, and resource allocation. Experience working with global teams across multiple time zones. Passion for financial markets, algorithmic trading, or brokerage operations. Cloud or infrastructure certifications (GCP, AWS, Azure, Kubernetes, Terraform). How We Take Care of You: Competitive Salary & Stock Options Health Benefits New Hire Home-Office Setup: One-time USD $500 Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. Recruitment Privacy Policy

Location: New York, NY or Remote About Us: EvolutionIQ’s mission is to deliver state of the art technology that helps insurance claims teams make claims handling more accurate, fair, and efficient, so that more people impacted by injury or illness can continue their lives with dignity and stability. We are currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space. Our team is our #1 priority, and we have been named one of Inc.’s Best Workplaces 3 years in a row and Built In’s Best Places to work in 2025 and 2026! About You : A Senior Machine Learning Engineer who thrives on first principles problems that no one has ever worked on before. You love innovation and making an immediate impact, and are constantly driving toward launch and delivery thanks to your high degree of ownership and control. You love working on new and challenging problems, not incremental or marginal improvements, and you're supercharged by having interesting, unsolved problems continually present themselves. In this Role, You Will: Build ML models for production use Perform in-depth exploratory data analysis to scope ML opportunities, identify potential issues in the data, and lay the groundwork for model design, training & evaluation strategies Suggest and implement new features to improve model performance and business logic Write and review production-quality PRs daily Translate client business problems into ML problems Build scalable machine learning models for claim time series forecasting and NLP text understanding Continue to grow and learn in the data & ML space with a focus on business problems that require making sense of large-scale structured and unstructured datasets Requirements : 2+ years of experience as a Machine Learning Engineer or Data Scientist, preferably in highly scalable production environments. You have deep exposure to data science & ML tech stacks (sklearn, Keras / PyTorch, tuning frameworks), data analysis & modeling, feel at home in Python/Pandas/Jupyter, and strive for scalable technical concepts and solutions. You have excellent written and verbal communication skills and can effectively correspond between technical and non-technical audiences. You’re a team player who is solutions-oriented. Experience leveraging Claude Code and related tools is a strong plus Even Better if You Have the following: Knowledge of Dagster, BigQuery, Vertex AI, GCP, Terraform, Spark, Kubernetes Owned and deployed, and maintained model-serving pipelines in production Expert skills at writing clean, efficient, and easy-to-understand code with unit tests and functional design patterns Experience with advanced statistical modeling, especially probabilistic programming Ambitious, collaborative, and empathetic values A work style that is open to giving and receiving critical feedback and collaborating effectively across teams Work-life, Culture & Perks: Compensation: The base salary range is $190-225K, with flexibility depending on a candidate’s background and experience. An annual bonus plan and company equity plan (RSUs) are also included in our compensation package. Well-Being: Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching. Additional family, wellness, and pet benefits. Home & Family: Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers). We offer a flexible schedule for new parents returning to work. Office Life: Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend. Growth & Training: $1,000/year for each employee for professional development, as well opportunities for tuition reimbursement. Sponsorship: We are open to sponsoring candidates currently in the U.S. who need to transfer their active visa. Please check with our Recruiting team if your visa is applicable for transfer. EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Location: London, UK Workplace: Hybrid ABOUT BEAMERY With the rapid expansion of AI and automation, the future of work has never been more challenging for organizations. Beamery’s unique jobs, skills and tasks data platform helps organizations navigate these challenges and make more informed decisions across Talent Lifecycle Management. Our solutions power recruitment, mobility, upskilling, diversity, work architecture and workforce planning for some of the world’s most forward-thinking companies. We believe that where you work is much more than just a job. Millions of people are being left behind every day in their careers, and we’re on a mission to fix this by creating equal access to meaningful work, skills and careers for all. We are an equal opportunity employer committed to building a representative Beamery, creating an equitable, inclusive and engaging environment for our people. So, what are you waiting for? Join us and help us transform the future of work once and for all. What’s ahead — and why it’s an exciting time to join the team:  Building agentic AI with advanced orchestration (multi-agent workflows, tool use, evaluation loops) that turns complex talent data into decisions. - Training and fine-tuning our own models on unique data about jobs, skills and tasks, and benchmarking them against the best in our market. - Joining an award-winning AI team (ACM RecSys Challenge 2026) that turns new ideas into innovative solutions with scientific rigour. - Sharing our work and learning from industry peers through challenges, conferences and publications. But it’s not all about creating high-quality products, we also very much value the company culture we have worked hard to create; built on trust, empathy & honesty ensuring our workforce is able to bring their full selves to work. ABOUT THE OPPORTUNITY Our data platform powers Beamery’s reporting and underpins our AI strategy. We’re hiring a Staff Data Engineer to set its technical direction. This is our most senior individual contributor role in data engineering. You’ll own the platform’s long-term architecture, make the calls that are expensive to reverse, and lead the work that follows. You’ll also partner with EPD leadership (Engineering, Product, and Design) on work that crosses team boundaries, and on keeping the platform aligned with company strategy. The platform exists so everyone at Beamery can make faster decisions with data they trust. The role suits someone energised by ambiguity who measures impact by what the organisation can do rather than what they personally shipped. WHAT WILL YOU BE DOING AT BEAMERY? - Own the technical strategy for the data platform. Define the multi-quarter architectural vision, build the case for investment with EPD leadership, and sequence delivery incrementally rather than as a big-bang migration. You take on the work with no established playbook and turn it into designs the team can execute. Expect challenges around multi-tenant consistency, correctness at scale, performance ceilings, and data modelling for AI and agentic workloads. - Architect the analytics, semantic, and AI data layers. Define how core business metrics, feature usage signals, and skills and task intelligence data are modelled, governed, and exposed as trustworthy products to BI, self-service, and AI consumers. - Set standards that scale beyond your team. Establish the architectural patterns, modelling conventions, and data contracts other teams adopt, favouring guardrails over review gates. Grow senior engineers into stronger technical decision-makers through design review, pairing, and mentorship. - Own reliability and trust at the platform level. Set our approach to observability, data quality, SLAs, and incident response; lead RCAs on the most serious failures and drive the systemic fixes that prevent recurrence. WHAT WE’RE LOOKING FOR You’re a staff-level data engineer who has built and run data platforms for internal and external consumers. You’ve built architectures that held up as they grew with a focus on data warehousing, data lakes, and both real-time and batch processing. Teams bring you their hardest data problems. You’ve made the hard tradeoffs in distributed, multi-tenant systems and lived with the consequences. You’re just as comfortable in production: tracing how one upstream failure ripples through to customers, and making sound calls under pressure. Your impact isn’t measured in code alone. You’ve led initiatives across team boundaries without formal authority, working directly with principal engineers, platform teams, and data scientists, and treating their constraints as part of your design problem. You’ve made architectural decisions others built on for years, and driven modernisation while balancing new technology against real delivery risk. You work with minimal direction, explain tradeoffs and risks credibly to executive audiences, and change your mind as readily as you defend a position. PREVIOUS PROFESSIONAL EXPERIENCE: - Data transformations using dbt, including patterns for large, complex projects - Data storage (SQL / NoSQL): schema design, modelling at scale, and multi-tenant isolation - Back-end engineering: Python (nice to have: Typescript/Node.JS) - Pipelines: streaming, CDC, correctness, replayability, and evolution over time - Data quality and observability: validation, testing, data contracts, monitoring, alerting, and incident response - Infrastructure as code and containerisation (Terraform, Kubernetes) OUR DATA STACK Our stack will change as we grow, and you’ll be shaping those changes. The ability to learn new tools matters more than experience with any specific one. - DBT for data modelling and transformation - BigQuery data warehouse - Kafka for data streaming between systems - PostgreSQL & MongoDB for databases - Typescript/Node.JS on the backend - Kubernetes - Python - Segment for customer-centric event collection Beamery is open to engage with direct employment or contractors for this position in order to find the right fit candidate to join our team. Beamery is for Everybody. Diversity and open expression are fundamental to us. We acknowledge the challenges in our industry and strive to develop an inclusive culture where everybody can contribute. We are dedicated to creating an inclusive environment for everyone, regardless of ethnicity, religion, color, sexual orientation, gender identity, race, national origin, age, disability status, or caregiver status. If, for whatever reason, you need us to make reasonable adjustments and adaptations to our recruitment process, please email accommodations@beamery.com Visit our Diversity, Equality and Inclusion page https://careers.beamery.com/life-at-beamery/diversity-equality-inclusion/to learn more about progress and commitments.

Location: Remote (Ukraine) About us: Gismart is a value-driven mobile app developer with a strong presence in the Health & Wellness, Utilities, and Music app markets. We have recently achieved a significant milestone of over 1 billion downloads worldwide, taking a step toward our mission of cultivating the well-being of people worldwide. With headquarters in London, UK, Gismart is a dynamic global company with a reach extending across Europe and far beyond. Our determined team consists of 250 individuals who bring diversity, creativity, innovation, and relentless drive to the company. Gismart unites professionals from diverse backgrounds in entertainment, music, and tech, allowing us to play to each other’s strengths and succeed as a team. Our mission: Become a stepping stone on our customers’ journeys of self-improvement. Our values: - Deliver what matters - Respect and support others - Initiate and own - Voiceopenly - Execute with quality If you are passionate about mobile app development and want to join a company that’s reshaping the industry, Gismart is the place for you. We provide exciting career opportunities, a supportive workplace culture, and the chance to contribute to a team that is making a tangible impact. For more information on Gismart, visit gismart.com http://gismart.com. About project FitMe is a fitness app created for people who want to stay active without long, repetitive workouts. It offers short, easy-to-follow routines that can be done at home with no equipment. FitMe is perfect for busy people who want to maintain their health, boost energy levels, and feel good every day — without going to the gym or spending hours on exercise. What you will do: - Stakeholder support: ad-hoc validation of figures, investigation of discrepancies between dashboards, ensuring availability of the BI platform. - Development and support of ETL/ELT pipelines for analytical reports (cohort revenue, LTV, retention, KPI by creatives, post-purchase analytics). - Support for attribution models (Web↔Mobile mapping, multi-locale cost-cohort resolve, last-click vs raw events). - Integrations with external sources: Meta Marketing API, AppsFlyer, AppMetrica, Stripe, Tableau Server (TSC), Birch. - Data quality assurance: schema/freshness/volume checks, broken-snapshot detection, anti-bot-traffic filtering. - Performance optimization of queries and procedures in Redshift. - Collaboration with BI Team, Product / UA / Billing analysts. Key qualifications: - 1-2 years of commercial experience in data engineering / analytics engineering / BI development. - Experience with data warehouse, data lake and data lakehouse concepts. - Proven experience in designing, implementing and supporting ETL/ELT pipelines. - Experience with AWS, Amazon Redshift, Apache Airflow. - Advanced SQL, hands-on experience in designing production-level Python code. - Willingness to deal with business logic (subscription, monetization, attribution) — with team support. Would be a plus: - Experience with Infrastructure as Code (Terraform). - Experience with dbt, Apache Spark, Apache Iceberg - Experience with UA-attribution stack (AppsFlyer, AppMetrica, Adjust, SKAN, GA4) and UA cost APIs (Meta, Google Ads, TikTok, AppLovin). Employee Benefits: - Remote-First Culture: Our team is diverse and extensive, just like our product portfolio. We provide a flexible working schedule and let you work anywhere in the world, either remotely or in one of our corporate hubs. - Сoworking Compensation: We provide 100% compensation for coworking spaces in Ukraine (except Kyiv, where we have a cozy and autonomous hub) and 50% compensation for coworking spaces worldwide to make sure that everyone has a comfortable and inspiring workspace. - Free Office Lunches: We want you to stay fueled and focused, so we provide delicious free lunches for everyone working from our hubs. It’s one less thing for you to worry about during a productive workday. - Public Holidays Policy: Gismart observes public holidays based on the Ukrainian or Polish holiday calendars. Employees working in other locations are entitled to 12 public holidays per year. - 100% Sick Leave Compensation. - Mental and Physical Health: To help you stay happy and healthy, Gismart will partially cover your medical insurance, sports activities, therapy costs. - Personal Equipment Policy: Of course, we’ll provide you with all the equipment you need or cover the maintenance cost for your own tools. - Personal Learning and Development: We love to see you learn and grow, so Gismart will cover 70% of your professional development courses. We’ll also pay for 100% of corporate English courses. - Time-Off Policy: Every employee gets 18 working days of paid vacation and 3 personal days per year, with an extra day added for each year at Gismart. - Corporate Events: We are remote-first, but we love meeting up in person. Whenever possible, we organize corporate events and team-building activities across all Gismart hubs.

Location: Espoo Workplace: Hybrid DESCRIPTION ROLE HIGHLIGHTS: - Fullstack Engineer, Product Engineering - Location: Finland, Espoo - Department: Solutions - Reports to: Engineering Manager / Team Lead - Employment type: Permanent - Workplace model: Hybrid - Employment is subject to applicable security screening (incl. SUPO) Why this role matters We build software products that turn ICEYE’s satellite data and analytics into outcomes customers can rely on during real events such as floods, wildfires, and earthquakes. This is an individual contributor role where you are expected to take ownership of your work and help deliver end-to-end product slices across backend and frontend. You help us ship frequently, keep systems supportable in production, and continuously reduce friction in how we build and run our products. 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 - End-to-End Delivery: Own full product slices by building seamless functionality from backend APIs to frontend UIs, turning vague requirements into testable, production-ready code. - Operational Excellence: Maintain system reliability by participating in on-call rotations and improving "observability" through meaningful alerts, clear logs, and automated runbooks. - Process Optimization: Boost team velocity by identifying delivery bottlenecks such as slow CI or flaky tests, and automating away recurring toil to focus on novel engineering challenges. - Pragmatic Engineering: Design simple, maintainable architectures that prioritize incremental changes, clear documentation, and high-quality code reviews to ensure safe deployments. - Collaborative Leadership: Align with cross-functional partners (Product, Design, Data) to solve problems while mentoring peers through pair programming and shared technical context. What we’re looking for Must-haves - Experience building and maintaining production software in a cloud environment, across both backend and frontend. - Solid proficiency in at least one backend language (for example Python, TypeScript/Node.js, Go, Java or Kotlin) and one modern frontend framework (for example React, Vue or Angular). - Comfortable designing and consuming APIs, and working with relational and/or NoSQL databases. - Writes automated tests and keeps changes small and reviewable; ships, learns and iterates. - Builds with operations in mind: resilience, debuggability and supportability. - Extensive experience with Docker in development and production environments. - Communicates clearly: can explain trade-offs and align with Product and peers. - Uses AI-assisted tools (for example Cursor, ChatGPT, Claude Code) pragmatically, with good habits for verifying output. NICE-TO-HAVES - Experience with Python (especially FastAPI and async patterns) and/or TypeScript with React. - Familiarity with geospatial domains, remote sensing or data-intensive applications. - Experience with event-driven architecture and distributed systems. - Familiarity with Kubernetes and infrastructure-as-code (for example Terraform). - Exposure to regulated data environments (for example ISO 27001, DORA or GDPR). - Experience improving the structure, performance or maintainability of a growing frontend codebase. APPLICATION PROCESS - TA Interview - Hiring Manager Interview - Take Home Task - Panel Interview - Department Lead Interview - Final Interview with SVP of Solutions 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 www.iceye.com http://www.iceye.com. https://www.iceye.com/

Location: Budapest The Wow This role sits at the heart of our real-time data platform, empowering teams to build, deploy, and scale data products that drive critical business decisions and customer experiences. You will design, develop, and operate the core platform capabilities that power streaming data pipelines, event-driven applications, and self-service data products. Working at the intersection of software engineering and data engineering, you will create scalable frameworks, tooling, and developer experiences that enable our teams to deliver reliable solutions with speed and confidence. A taster of what you will be involved with: Design and build scalable, reusable frameworks and services for data ingestion, transformation, and processing. Develop and maintain the platform's core capabilities, such as orchestration, data quality validation, and schema management tools. Evolve the platform's architecture to incorporate new technologies that improve scalability, reliability, and cost-effectiveness. Collaborate with Data DevOps Engineers to ensure platform features are automated, observable, and deployed via CI/CD. Act as a key contributor to the platform's roadmap, identifying and prioritizing features that unlock the most value for its users. What we are looking for: Must haves: University Degree in Computer Science, Engineering or equivalent. At least 3 years of hands-on experience building and operating real-time or event-driven data platforms and streaming applications. Strong software engineering fundamentals, with experience in a language like Python, Scala or Java. Experience building reusable frameworks, libraries, or internal tools. Deep knowledge of SQL and data integration patterns. Experience in modern cloud database technologies such as Snowflake or Redshift are considered an asset. Experience with data streaming technologies such as Kafka is a must. Strong experience building distributed data processing workloads using Apache Spark (PySpark and/or Scala). Hands-on experience designing and operating event-driven architectures on AWS, including services such as MSK, Kinesis Data Streams, EKS, EMR, Lambda, and EventBridge. Experience in NoSQL databases such as  HBase, Cassandra, and DynamoDB. Excellent verbal and writing English communication skills. Nice to have: Familiarity with real time reporting tools like Grafana or Datadog Familiarity with Data Modelling Concepts like Inmon, Kimball and Data Vault Knowledge AWS services like Glue, Lambda, Step Functions and S3 Experience with orchestrating data pipelines using tools like Airflow. Experience building or managing APIs and microservices. Familiarity with infrastructure scripting like Terraform and CI/CD practices. What we offer Fitness-wellness allowance 🧗‍♂️ Company mobile phone for private use with 100 GB 📱 Annual HUF devaluation compensation 💡 Hybrid model: 3 days in the office 🏢 & 2 days from home 🏠 Private Health Insurance 🩺 Career development 📈 Technical and soft-skill training opportunities 🎓 Breakfast, fruits & lunch 🍎 Team building events 🥳 Challenge accepted? By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

Location: Malta The Wow This role sits at the heart of our real-time data platform, empowering teams to build, deploy, and scale data products that drive critical business decisions and customer experiences. You will design, develop, and operate the core platform capabilities that power streaming data pipelines, event-driven applications, and self-service data products. Working at the intersection of software engineering and data engineering, you will create scalable frameworks, tooling, and developer experiences that enable our teams to deliver reliable solutions with speed and confidence. A taster of what you will be involved with: Design and build scalable, reusable frameworks and services for data ingestion, transformation, and processing. Develop and maintain the platform's core capabilities, such as orchestration, data quality validation, and schema management tools. Evolve the platform's architecture to incorporate new technologies that improve scalability, reliability, and cost-effectiveness. Collaborate with Data DevOps Engineers to ensure platform features are automated, observable, and deployed via CI/CD. Act as a key contributor to the platform's roadmap, identifying and prioritizing features that unlock the most value for its users. What we are looking for: Must haves: University Degree in Computer Science, Engineering or equivalent. At least 3 years of hands-on experience building and operating real-time or event-driven data platforms and streaming applications. Strong software engineering fundamentals, with experience in a language like Python, Scala or Java. Experience building reusable frameworks, libraries, or internal tools. Deep knowledge of SQL and data integration patterns. Experience in modern cloud database technologies such as Snowflake or Redshift are considered an asset. Experience with data streaming technologies such as Kafka is a must. Strong experience building distributed data processing workloads using Apache Spark (PySpark and/or Scala). Hands-on experience designing and operating event-driven architectures on AWS, including services such as MSK, Kinesis Data Streams, EKS, EMR, Lambda, and EventBridge. Experience in NoSQL databases such as  HBase, Cassandra, and DynamoDB. Excellent verbal and writing English communication skills. Nice to have: Familiarity with real time reporting tools like Grafana or Datadog Familiarity with Data Modelling Concepts like Inmon, Kimball and Data Vault Knowledge AWS services like Glue, Lambda, Step Functions and S3 Experience with orchestrating data pipelines using tools like Airflow. Experience building or managing APIs and microservices. Familiarity with infrastructure scripting like Terraform and CI/CD practices. What we offer Much like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 1700 strong, spread across 7 offices with 900 based out of our Malta HQ alone! We recognise it may not be for the faint-hearted, but if you’re a go-getter, initiator and adrenaline junkie, always striving to push the boundaries and challenge yourself, then you’ll fit right in. Challenge accepted? By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

Location: Athens Are you an experienced DevOps Engineer looking for your next career opportunity? The Wallet Area within Product Development is now hiring! THE WOW You will be part of preparing our journey to containerization, improved delivery via cloud deployment, increasing the scalability of our systems while also maintaining their high quality. To accommodate new requirements, we are constantly re-evaluating our systems design and working on exciting new features. You will be part of a passionate team, which is building an industry leading, scalable, multi-brand platform to support 25+ online brands! Our brands are used by hundreds of thousands of users and growing To sum it up: you will be taking our Wallet platform to a new level! A taster of what you will be involved with: Working with cutting edge technology enabling our Cloud Journey The DevOps Engineer for our Wallet Department will be responsible for supporting development teams (both Backend and Frontent focused), and will be instrumental in enhancing CI/CD pipelines, improving monitoring and observability, and supporting & maintaining other custom infra solutions. Take ownership of CI/CD pipelines, guiding developers to improve automation, reliability, and test coverage. Lead the migration from Octopus to GitHub Actions and foster a culture of developer-led deployment Design and evolve monitoring systems with Prometheus/Grafana (or future alternatives), integrating observability into CI/CD workflows. Ensure robust tracing, logging, and metrics correlation across services. Support and extend custom-built infrastructure components to handle increased traffic and complex routing. Collaborate with frontend and backend teams to ensure performance, scalability, and security. Work closely with all Wallet teams and DevOps engineers focused on infrastrucutre and operations. Provide tooling and guidance to developers across environments. What we're looking for: Experience with GitHub Actions and Octopus; strong focus on deployment automation, speed, reliability, and test coverage. Ability to guide developers and foster ownership of CI/CD workflows. Proficiency with Prometheus/Grafana; capable of building dashboards, improving alerting, and integrating monitoring into CI/CD. Understanding of observability practices including tracing, logging, and metrics correlation. Experience with custom-built NGINX setups; able to extend routing rules to support increased traffic and complex routing needs. Strong knowledge of AWS (EC2, ALB, VPC, EKS); experience managing infrastructure using Terraform and modules. Proven experience setting up and managing Kubernetes clusters, ideally with AWS EKS and Rancher RKE. Ability to write scripts in Python, Bash, PowerShell or similar for automation and tooling. Proficient in Git and versioned source control practices. Support build and deployment processes for both backend (.NET) and frontend (JavaScript/TypeScript, StencilJS) applications, ensuring smooth CI/CD integration and performance monitoring Strong cross-functional collaboration skills; able to work with Gaming teams and Infra/Ops DevOps engineers. Solid understanding of DevOps culture and ITIL best practices. Problem-solving mindset with ability to resolve complex technical issues efficiently. Excellent problem-solving skills, with the ability to analyze complex technical issues and provide effective solutions in a timely manner. Act as a technical enabler for development teams, providing tooling, guidance, and support across environments. Champion DevOps best practices and empower teams to take ownership of their delivery pipelines Who We Are Betsson Group is one of the largest companies within the Global iGaming space and can trace our heritage as far back as the 1960’s. We’re Swedish and publicly listed too with our Operational HQ located on the Mediterranean Island of Malta. We strive to deliver the best customer experience in the industry. As a market leader within iGaming we offer online gaming products across 12+ jurisdictions and 20+ brands. You will be part of a passionate team, which is building an industry leading, scalable, multi-brand platform used by hundreds of thousands of our customers! What we offer Monthly Allowance for Lunch Private & Life Plan Insurance for you and your family Team Building Budget Annual Wellness Allowance Corporate Travel Insurance Events and initiatives both Local (Quarterly Meetings) and Global Professional Development Programs & Internal Career Opportunities Milestone Birthday Much like a rollercoaster, life at Betsson Group is fast-paced, full of twists and turns, and always exciting. With more than 2,800 colleagues representing over 75 nationalities across a global network of offices - including 1,500 at our operational headquarters in Malta - every day brings new challenges and opportunities to grow. It may not be for the faint-hearted, but if you thrive on innovation, enjoy pushing boundaries and want to be part of a diverse, international team, then you’ll fit right in at Betsson. Challenge accepted? Check out the Betsson Group Blog to find out what our employees are talking about If you are interested to learn more, please apply with your CV in English. By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Some of the world's largest companies and their law firms use Harvey's AI to deliver world-class client services at unprecedented scale, entrusting Harvey with their most sensitive documents in the process. This role joins Harvey's corporate security function, which secures the company's IT and business systems as Harvey grows rapidly, balancing risk with user experience while validating every assumption through threat modeling and real-world testing rather than relying on best practice alone. It is a strong fit for someone at the intersection of security engineering and enterprise systems- someone who understands how data flows between SaaS applications, can pinpoint where security breaks down in complex integrations, and knows how to build controls that scale. Experience with eDiscovery workflows and legal holds is a meaningful differentiator given the nature of Harvey's customer base. WHAT YOU'LL DO - Enterprise Integrations & SaaS Security: Design, implement, and govern security controls for cross-application data flows, API integrations, OAuth connections, and third-party SaaS platforms. Own the security review lifecycle for new integrations and automate posture monitoring to catch drift early. - eDiscovery & Legal Hold Program: Continue to build and operate Harvey's legal hold infrastructure, including data preservation, collection workflows, and custodian management. Partner with Legal and Compliance to meet litigation readiness requirements across our collaboration and productivity stack. - IT & Business Systems Partnership: Provide security oversight across the SaaS application lifecycle — vendor onboarding assessments, ongoing configuration review, and decommissioning. - Endpoint Security: Support endpoint security policies and vulnerability management, ensuring endpoint telemetry feeds into detection and response workflows. - Security Detection & Response: Develop scripts and integrations that extend visibility across corporate systems, partnering with the Detection & Response team to surface signals from SaaS and business applications. WHAT YOU HAVE - Demonstrated experience securing enterprise SaaS environments, including integration security, API token management, OAuth governance, and cross-application data flow risk — with working knowledge of authentication/authorization standards (SAML, OIDC, SCIM, X.509) and the ability to debug real-world integration failures. - Experience building or managing eDiscovery and legal hold programs, including data preservation workflows, custodian management, and coordination with Legal and outside counsel. Familiarity with tools such as Purview, Vault, Relativity, Everlaw, or similar platforms is a plus. - Strong software engineering fundamentals with proficiency in Python and/or Go, including building integrations against SaaS APIs (not just configuring through consoles), and experience with infrastructure-as-code tooling such as Terraform and/or Pulumi for managing security configurations in a repeatable, auditable way. - Ability to identify risks and vulnerabilities in IT and business systems and communicate that risk clearly to stakeholders across engineering, legal, and executive audiences. - Familiarity with endpoint security for macOS and Windows environments, and experience with tools such as Okta, Google Workspace, Salesforce, Workday, NetSuite, Microsoft Entra/Azure/Intune, JAMF, Tines, or similar platforms. - 4+ years of experience in security engineering, corporate engineering, IT, or a related program management function with a security focus. Experience with generative AI or the legal industry is not required — but genuine curiosity about both will serve you well here. COMPENSATION $220,000 - $330,000 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-AH1 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 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 Some of the world's largest companies and their law firms use Harvey's AI to deliver world-class client services at unprecedented scale, entrusting Harvey with their most sensitive documents in the process. This role joins Harvey's corporate security function, which secures the company's IT and business systems as Harvey grows rapidly, balancing risk with user experience while validating every assumption through threat modeling and real-world testing rather than relying on best practice alone. It is a strong fit for someone at the intersection of security engineering and enterprise systems- someone who understands how data flows between SaaS applications, can pinpoint where security breaks down in complex integrations, and knows how to build controls that scale. Experience with eDiscovery workflows and legal holds is a meaningful differentiator given the nature of Harvey's customer base. WHAT YOU'LL DO - Enterprise Integrations & SaaS Security: Design, implement, and govern security controls for cross-application data flows, API integrations, OAuth connections, and third-party SaaS platforms. Own the security review lifecycle for new integrations and automate posture monitoring to catch drift early. - eDiscovery & Legal Hold Program: Continue to build and operate Harvey's legal hold infrastructure, including data preservation, collection workflows, and custodian management. Partner with Legal and Compliance to meet litigation readiness requirements across our collaboration and productivity stack. - IT & Business Systems Partnership: Provide security oversight across the SaaS application lifecycle — vendor onboarding assessments, ongoing configuration review, and decommissioning. - Endpoint Security: Support endpoint security policies and vulnerability management, ensuring endpoint telemetry feeds into detection and response workflows. - Security Detection & Response: Develop scripts and integrations that extend visibility across corporate systems, partnering with the Detection & Response team to surface signals from SaaS and business applications. WHAT YOU HAVE - Demonstrated experience securing enterprise SaaS environments, including integration security, API token management, OAuth governance, and cross-application data flow risk — with working knowledge of authentication/authorization standards (SAML, OIDC, SCIM, X.509) and the ability to debug real-world integration failures. - Experience building or managing eDiscovery and legal hold programs, including data preservation workflows, custodian management, and coordination with Legal and outside counsel. Familiarity with tools such as Purview, Vault, Relativity, Everlaw, or similar platforms is a plus. - Strong software engineering fundamentals with proficiency in Python and/or Go, including building integrations against SaaS APIs (not just configuring through consoles), and experience with infrastructure-as-code tooling such as Terraform and/or Pulumi for managing security configurations in a repeatable, auditable way. - Ability to identify risks and vulnerabilities in IT and business systems and communicate that risk clearly to stakeholders across engineering, legal, and executive audiences. - Familiarity with endpoint security for macOS and Windows environments, and experience with tools such as Okta, Google Workspace, Salesforce, Workday, NetSuite, Microsoft Entra/Azure/Intune, JAMF, Tines, or similar platforms. - 4+ years of experience in security engineering, corporate engineering, IT, or a related program management function with a security focus. Experience with generative AI or the legal industry is not required — but genuine curiosity about both will serve you well here. COMPENSATION $220,000 - $330,000 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-AH1 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