Вакансии

Location: London QRT is a global quantitative and systematic investment manager, operating across all liquid asset classes. We are a data- and technology-driven organisation applying scientific methods to investing. Our collaborative culture and focus on innovation enable us to solve complex challenges and deliver high-quality returns for our investors. The Market Access Team builds and supports the systems connecting QRT with markets, brokers and data providers, enabling reliable trade execution and access to real-time market data. Your future role within QRT We are seeking a Market Access Platform Lead to manage and develop the team responsible for QRT’s global market data platforms. You will combine people management, technical leadership and delivery ownership while working closely with exchanges, vendors, traders and internal technology teams. The role is expected to involve the following activities: Lead and develop a team of platform engineers through clear objectives, regular feedback, performance reviews and career development. Coach team members, support recruitment and onboarding, and promote technical ownership and knowledge sharing. Prioritise team capacity across production support, project delivery and platform improvements. Own the reliability, data quality and scalability of market data pipelines, including PCAP, PIDUMP and reference data. Provide technical direction and contribute to configuration, scripting, tooling and complex troubleshooting. Oversee infrastructure ownership, SIM/UAT environment provisioning and capacity planning. Improve testing, post-deployment validation, observability, automation and platform performance. Lead desk requests, exchange and vendor upgrades, and platform initiatives while managing dependencies, risks and stakeholder communication. Your present skillset Proven experience directly managing a technical team, including coaching, performance management and professional development. Strong experience supporting or engineering market access, market data or comparable production platforms in a trading environment. Practical knowledge of financial markets, exchange data feeds and market data processing. Hands-on Python or Bash development and scripting skills. A track record of delivering technical projects and operational improvements across competing priorities and dependencies. Clear communication and sound judgement when working with traders, engineers, infrastructure teams and external providers. A proactive approach to ownership, attention to detail, reliable operations and clear documentation. Desirable to have experience or a willingness to learn in the following areas C++ development, code changes and deployment workflows. Data or cloud engineering, including ingestion infrastructure and automated pipeline quality checks. Reliability engineering, DevOps, observability or performance tuning for latency-sensitive trading systems. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we offer initiatives and programmes to help employees achieve a healthy work-life balance.

Location: United States Position overview SingleStore is seeking a Principal Cloud Network & Reliability Engineer to lead the architecture, reliability, and automation of the network foundations supporting our engineering organization. This is a senior hands-on technical role spanning cloud networking, site reliability engineering, infrastructure automation, and platform architecture across AWS, GCP, Azure, and internal infrastructure. The ideal candidate combines deep networking expertise with strong software and infrastructure engineering skills. They should be comfortable operating across organizational boundaries, driving technical decisions, improving reliability, and identifying adjacent problems that need ownership rather than limiting themselves strictly to a predefined scope. This role also provides senior technical coverage during U.S. business hours and acts as a key architecture partner to Platform Engineering, Systems Engineering, IT, InfoSec, and product engineering teams. What you’ll do: Define cloud networking architecture and standards across AWS, GCP, Azure, and internal infrastructure. Design and evolve routing, segmentation, firewalls, NAT, ingress/egress, DNS, VPN, private connectivity, and cloud-to-data-center networking. Lead technical direction for private-access technologies such as Tailscale, Headscale, WireGuard, bastions, and related access patterns. Establish SLOs, monitoring, alerting, recovery procedures, and operational standards for critical network services. Lead diagnosis and mitigation of significant networking, connectivity, and infrastructure incidents, and drive permanent remediation. Develop and maintain infrastructure using Terraform, OpenTofu, Terragrunt, Python, Go, or comparable technologies. Build reusable infrastructure patterns and automation that enable safe self-service for platform and engineering teams. Improve infrastructure change safety through automated validation, required review, observability, change logging, and rollback practices. Partner with Cloud Platform, Developer Platform, Systems Engineering, IT, InfoSec, and SRE teams on architecture that crosses networking, infrastructure, identity, security, and reliability domains. Serve as a senior technical escalation point during U.S. business hours. Create architecture standards, decision records, runbooks, and operational practices that reduce dependency on individual subject-matter experts. Mentor engineers and raise networking, infrastructure, and reliability expertise across the organization. Identify architectural and operational gaps beyond the immediate networking domain and help drive them to resolution. Your Experience: Minimum 10+ Years of experience required. Deep experience designing and operating complex production cloud networks in at least one major cloud provider, with meaningful experience in a second. Strong knowledge of routing, subnetting, segmentation, firewalls, NAT, DNS, VPN, ingress/egress, and private connectivity. Demonstrated experience troubleshooting complex production network and infrastructure failures. Strong hands-on experience with Terraform, OpenTofu, Terragrunt, or comparable infrastructure-as-code technologies. Experience building infrastructure automation using Python, Go, or a comparable programming language. Strong SRE experience including observability, incident response, root-cause analysis, recovery engineering, and reliability improvement. Experience operating Kubernetes or adjacent cloud-platform infrastructure. Experience designing safe infrastructure change and deployment practices. Ability to lead architecture decisions across multiple engineering organizations without formal authority. Strong written and verbal communication skills, including architecture documents, standards, runbooks, and incident reviews. Demonstrated ability to mentor engineers, distribute technical knowledge, and influence technical direction at Principal level. Preferred Qualifications: Experience across AWS, GCP, and Azure. AWS Transit Gateway, Cloud WAN, Direct Connect, PrivateLink, Route 53, or equivalent cloud-network technologies. GCP Cloud Router, Interconnect, Shared VPC, Private Service Connect, or equivalent technologies. Azure Virtual WAN, ExpressRoute, Private Link, or equivalent technologies. BGP and hybrid cloud/data-center networking. Tailscale, Headscale, WireGuard, or comparable private-access technologies. NetBox or other IPAM/DCIM platforms. Kubernetes CNI or advanced Kubernetes networking experience. Grafana, Prometheus, Mimir, Loki, CloudWatch, PagerDuty, Pingdom, or comparable observability tools. Experience with IAM and identity technologies such as Okta, Keycloak, FreeIPA, OIDC, SAML, SCIM, JIT access, certificates, secrets management, or privileged-access systems. Experience building policy-as-code, infrastructure guardrails, or automated deployment controls. Experience in large multi-account, multi-project, hybrid-cloud, or enterprise-scale infrastructure environments. About us: SingleStore delivers the cloud-native database with the speed and scale to power the world’s data-intensive applications. With a distributed SQL database that introduces simplicity to your data architecture by unifying transactions and analytics, SingleStore empowers digital leaders to deliver exceptional, real-time data experiences to their customers. SingleStore is venture-backed and headquartered in San Francisco with offices in Sunnyvale, Raleigh, Seattle, Boston, London, Lisbon, Bangalore, Dublin and Kyiv. Consistent with our commitment to diversity & inclusion, we value individuals with the ability to work on diverse teams and with a diverse range of people. T o all recruitment agencies: SingleStore does not accept agency resumes. Please do not forward resumes to SingleStore employees. SingleStore is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with the Company. SingleStore values individuals for their unique skills and experiences, and we’re proud to offer roles in a variety of locations across the United States. Salary is based on permissible, non-discriminatory factors such as skills, experience, and geographic location, and is just one part of our total compensation and benefits package. For candidates residing in California, please see our California Recruitment Privacy Notice . For candidates residing in the EEA, UK, and Switzerland, please see our EEA, UK, and Swiss Recruitment Privacy Notice. Req ID: ENG00523

Location: Colombia Position Overview The company is seeking an experienced ScienceLogic SL1 Platform & Automation Specialist to own, enhance, and extend our enterprise observability platform. The primary requirement for this role is deep, hands-on expertise with ScienceLogic SL1, including platform administration, reporting, customization, PowerPack development, and integration with AI-enabled and third-party systems. The successful candidate will serve as the technical owner for SL1 and will translate operational, customer, and business requirements into reliable monitoring services, dashboards, reports, automations, and integrations. The role will work closely with Systems, Security, Network Operations, Service Delivery, Software Development, and business stakeholders to improve visibility, reduce manual effort, and turn monitoring data into actionable operational intelligence. This position is ideal for an SL1 specialist who combines strong platform engineering skills with an integration and automation mindset, and who can help the company expand the value of SL1 through APIs, data services, AI-assisted operations, and connected enterprise platforms. Employment Details Job Type: Full-Time Schedule: 8-hour shift; Monday through Friday; participation in an on-call rotation; availability for after-hours maintenance, upgrades, and incident response activities; occasional weekend work to support maintenance windows or critical incidents. Work Location: Remote Key Responsibilities ScienceLogic SL1 Platform Ownership Own the day-to-day administration, health, availability, performance, capacity, and lifecycle of the ScienceLogic SL1 platform stack. Manage SL1 platform components, collectors, credentials, device classes, discovery, organizations, access controls, and platform configuration. Plan and coordinate upgrades, patches, PowerPack updates, testing, release validation, and rollback readiness. Troubleshoot complex platform, collection, event, performance, and data-quality issues and coordinate remediation with internal teams and ScienceLogic support. Maintain platform standards, configuration control, technical debt registers, support procedures, and operational runbooks. SL1 Customization & PowerPack Engineering Design, build, test, document, and maintain custom PowerPacks and associated SL1 content. Develop and maintain Dynamic Applications, event policies, device templates, dashboards, widgets, reports, Run Book Actions, Run Book Policies, ticket templates, credentials, and business service policies. Customize monitoring for network, cloud, infrastructure, application, telecom, and customer-facing services where standard content does not meet requirements. Use SL1 APIs, GraphQL/GQL capabilities, scripting, and supported development frameworks to extend platform functionality. Apply disciplined source control, peer review, test, release, and documentation practices to custom SL1 content. Reporting, Dashboards & Service Visibility Create operational, executive, customer, SLA, availability, capacity, risk, and service-health reporting from SL1 data. Design role-appropriate dashboards that provide clear visibility into service health, infrastructure dependencies, events, trends, and business impact. Improve reporting accuracy, consistency, performance, scheduling, distribution, and data governance. Integrate SL1 data with reporting and analytics platforms, including Domo, Power BI, data services, and other approved enterprise tools. Partner with stakeholders to define meaningful metrics, thresholds, service models, and reporting outcomes. Integrations, Automation & Third-Party Platforms Design, build, and support secure integrations between ScienceLogic SL1 and ITSM, ticketing, collaboration, analytics, security, cloud, network, and business platforms. Develop API-driven workflows using Python, PowerShell, REST APIs, webhooks, GraphQL/GQL, Logic Apps, Power Automate, or comparable technologies. Automate event enrichment, ticket creation and synchronization, notification, escalation, remediation, evidence collection, and reporting workflows. Manage integration credentials, service accounts, certificates, secrets, error handling, logging, monitoring, and recovery processes. Assess integration quality and remove brittle, duplicate, or manual workflows while maintaining appropriate change control. AI-Assisted Operations & Innovation Identify and implement practical uses of AI to improve SL1 event analysis, alert summarization, incident enrichment, root-cause investigation, knowledge retrieval, reporting, and operator productivity. Expose approved SL1 data and capabilities to AI-enabled platforms through secure APIs, data pipelines, retrieval patterns, orchestration services, or governed agent integrations. Prototype and evaluate AI-assisted workflows while maintaining human oversight, data protection, access control, auditability, and operational safety. Partner with Security, IT, Development, and business stakeholders to define appropriate AI use cases and measurable outcomes. Document AI integrations, data flows, controls, limitations, support requirements, and fallback procedures. Operational Excellence, Governance & Collaboration Act as the subject-matter expert and technical escalation point for ScienceLogic SL1. Collaborate with Network Operations, Systems, Security, Service Delivery, Software Development, vendors, and customers to translate requirements into maintainable platform capabilities. Maintain accurate architecture, configuration, data-flow, integration, support, and recovery documentation. Support incident, problem, change, vulnerability, and risk-management processes associated with the platform and its integrations. Provide knowledge transfer, mentoring, and practical guidance to teams that consume or support SL1 services. Promote secure engineering, least privilege, resilient design, and compliance with the company governance requirements. Required Technical Skills Expert Level ScienceLogic SL1 platform administration and architecture SL1 reporting, dashboards, widgets, service visibility, and operational analytics PowerPack development and lifecycle management Dynamic Applications and custom data collection Event policies, automation policies, Run Book Actions, and Run Book Automation SL1 platform troubleshooting, upgrades, collectors, performance, and data quality SL1 API integration and programmatic platform extension Advanced Level Python and/or PowerShell development REST APIs, JSON, webhooks, authentication, and integration design GraphQL/GQL and data-query patterns relevant to SL1 integrations Monitoring, observability, event management, alert correlation, and service health Operational reporting and data visualization ITSM/ticketing platform integrations and workflow automation Secure credential, certificate, secret, and service-account management Technical documentation, testing, release management, and change control Working Knowledge AI-assisted IT operations, retrieval-augmented generation, and agent-based workflows Microsoft Copilot, Copilot Studio, Azure AI services, or comparable enterprise AI platforms Logic Apps, Power Automate, Azure Automation, or comparable orchestration tools Domo, Power BI, data warehouses, or analytics platforms Cloud, virtualization, network, Linux, Windows, container, application, and telecom monitoring concepts ITIL-aligned incident, problem, and change management Security, privacy, auditability, and responsible AI governance principles Required Experience & Qualifications Demonstrable, hands-on experience administering and customizing ScienceLogic SL1 in a production enterprise or service-provider environment. Proven delivery of custom SL1 reporting, dashboards, monitoring content, PowerPacks, or integrations. Experience building and supporting integrations between SL1 and third-party systems. Ability to diagnose complex monitoring, collection, event, performance, reporting, and data-quality issues. Strong written and verbal communication with the ability to translate operational needs into technical solutions. Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience. Preferred Skills & Experience Experience operating ScienceLogic SL1 in an MSP, telecommunications, network-services, or multi-customer environment. Experience developing custom PowerPacks using supported SL1 development methods, APIs, scripting, and GraphQL/GQL. Experience integrating SL1 with ITSM platforms such as Autotask PSA, ServiceNow, or comparable systems. Experience delivering customer-facing SLA, availability, capacity, service-health, and executive reporting. Experience integrating SL1 data with Domo, Power BI, data lakes, or other analytics platforms. Experience applying AI to event summarization, alert enrichment, root-cause assistance, knowledge retrieval, workflow orchestration, or operational reporting. Experience with network, cloud, infrastructure, application, container, and service-level observability. Experience supporting globally distributed or remote-first technical teams. Experience maintaining audit-ready platform documentation and controlled release processes. Preferred Certifications ScienceLogic - Highest Priority Current or recent ScienceLogic SL1 certification appropriate to platform administration, engineering, or development ScienceLogic Certified Expert or comparable advanced ScienceLogic accreditation Additional ITIL Foundation or higher Microsoft Azure, Power Platform, AI, data, or automation certifications Relevant Python, API, observability, cloud, or service-management certifications Candidate Evidence We Would Value Examples of custom PowerPacks, Dynamic Applications, reports, dashboards, or integrations the candidate personally designed or maintained. A clear explanation of an SL1 API integration, including authentication, data flow, error handling, monitoring, and support model. Examples of improving SL1 data quality, event fidelity, reporting usefulness, platform performance, or supportability. A practical approach for using AI with SL1 while protecting sensitive data and retaining human oversight. Technical documentation or architecture examples that show disciplined engineering and operational ownership. Success Measures SL1 availability, collection health, data quality, and platform reliability targets are achieved. Custom monitoring and reporting requirements are delivered accurately, securely, and maintainably. PowerPacks and custom SL1 content follow documented development, testing, release, and lifecycle standards. Operational, executive, customer, and SLA reporting becomes more reliable, useful, and timely. Integration failures, manual handoffs, duplicate effort, and unsupported customizations are reduced. Monitoring coverage and event quality improve while avoidable alert noise is reduced. AI-assisted use cases produce measurable operational value without weakening security, privacy, governance, or human oversight. Platform upgrades, lifecycle activities, and vendor escalations are planned and executed effectively. Teams receive high-quality documentation, knowledge transfer, and dependable technical escalation support. ScienceLogic SL1 data is used more effectively to drive operational decisions, customer outcomes, and continuous improvement. Role Profile Primary specialty: ScienceLogic SL1 platform engineering, reporting, customization, and integration. Secondary specialty: Automation, APIs, analytics, and AI-assisted operations. Operating style: Hands-on technical ownership with strong stakeholder communication and documentation discipline. Business outcome: A reliable, extensible, and well-governed observability platform that converts monitoring data into actionable intelligence.

Location: Costa Rica Position Overview The company is seeking an experienced ScienceLogic SL1 Platform & Automation Specialist to own, enhance, and extend our enterprise observability platform. The primary requirement for this role is deep, hands-on expertise with ScienceLogic SL1, including platform administration, reporting, customization, PowerPack development, and integration with AI-enabled and third-party systems. The successful candidate will serve as the technical owner for SL1 and will translate operational, customer, and business requirements into reliable monitoring services, dashboards, reports, automations, and integrations. The role will work closely with Systems, Security, Network Operations, Service Delivery, Software Development, and business stakeholders to improve visibility, reduce manual effort, and turn monitoring data into actionable operational intelligence. This position is ideal for an SL1 specialist who combines strong platform engineering skills with an integration and automation mindset, and who can help the company expand the value of SL1 through APIs, data services, AI-assisted operations, and connected enterprise platforms. Employment Details Job Type: Full-Time Schedule: 8-hour shift; Monday through Friday; participation in an on-call rotation; availability for after-hours maintenance, upgrades, and incident response activities; occasional weekend work to support maintenance windows or critical incidents. Work Location: Remote Key Responsibilities ScienceLogic SL1 Platform Ownership Own the day-to-day administration, health, availability, performance, capacity, and lifecycle of the ScienceLogic SL1 platform stack. Manage SL1 platform components, collectors, credentials, device classes, discovery, organizations, access controls, and platform configuration. Plan and coordinate upgrades, patches, PowerPack updates, testing, release validation, and rollback readiness. Troubleshoot complex platform, collection, event, performance, and data-quality issues and coordinate remediation with internal teams and ScienceLogic support. Maintain platform standards, configuration control, technical debt registers, support procedures, and operational runbooks. SL1 Customization & PowerPack Engineering Design, build, test, document, and maintain custom PowerPacks and associated SL1 content. Develop and maintain Dynamic Applications, event policies, device templates, dashboards, widgets, reports, Run Book Actions, Run Book Policies, ticket templates, credentials, and business service policies. Customize monitoring for network, cloud, infrastructure, application, telecom, and customer-facing services where standard content does not meet requirements. Use SL1 APIs, GraphQL/GQL capabilities, scripting, and supported development frameworks to extend platform functionality. Apply disciplined source control, peer review, test, release, and documentation practices to custom SL1 content. Reporting, Dashboards & Service Visibility Create operational, executive, customer, SLA, availability, capacity, risk, and service-health reporting from SL1 data. Design role-appropriate dashboards that provide clear visibility into service health, infrastructure dependencies, events, trends, and business impact. Improve reporting accuracy, consistency, performance, scheduling, distribution, and data governance. Integrate SL1 data with reporting and analytics platforms, including Domo, Power BI, data services, and other approved enterprise tools. Partner with stakeholders to define meaningful metrics, thresholds, service models, and reporting outcomes. Integrations, Automation & Third-Party Platforms Design, build, and support secure integrations between ScienceLogic SL1 and ITSM, ticketing, collaboration, analytics, security, cloud, network, and business platforms. Develop API-driven workflows using Python, PowerShell, REST APIs, webhooks, GraphQL/GQL, Logic Apps, Power Automate, or comparable technologies. Automate event enrichment, ticket creation and synchronization, notification, escalation, remediation, evidence collection, and reporting workflows. Manage integration credentials, service accounts, certificates, secrets, error handling, logging, monitoring, and recovery processes. Assess integration quality and remove brittle, duplicate, or manual workflows while maintaining appropriate change control. AI-Assisted Operations & Innovation Identify and implement practical uses of AI to improve SL1 event analysis, alert summarization, incident enrichment, root-cause investigation, knowledge retrieval, reporting, and operator productivity. Expose approved SL1 data and capabilities to AI-enabled platforms through secure APIs, data pipelines, retrieval patterns, orchestration services, or governed agent integrations. Prototype and evaluate AI-assisted workflows while maintaining human oversight, data protection, access control, auditability, and operational safety. Partner with Security, IT, Development, and business stakeholders to define appropriate AI use cases and measurable outcomes. Document AI integrations, data flows, controls, limitations, support requirements, and fallback procedures. Operational Excellence, Governance & Collaboration Act as the subject-matter expert and technical escalation point for ScienceLogic SL1. Collaborate with Network Operations, Systems, Security, Service Delivery, Software Development, vendors, and customers to translate requirements into maintainable platform capabilities. Maintain accurate architecture, configuration, data-flow, integration, support, and recovery documentation. Support incident, problem, change, vulnerability, and risk-management processes associated with the platform and its integrations. Provide knowledge transfer, mentoring, and practical guidance to teams that consume or support SL1 services. Promote secure engineering, least privilege, resilient design, and compliance with the company governance requirements. Required Technical Skills Expert Level ScienceLogic SL1 platform administration and architecture SL1 reporting, dashboards, widgets, service visibility, and operational analytics PowerPack development and lifecycle management Dynamic Applications and custom data collection Event policies, automation policies, Run Book Actions, and Run Book Automation SL1 platform troubleshooting, upgrades, collectors, performance, and data quality SL1 API integration and programmatic platform extension Advanced Level Python and/or PowerShell development REST APIs, JSON, webhooks, authentication, and integration design GraphQL/GQL and data-query patterns relevant to SL1 integrations Monitoring, observability, event management, alert correlation, and service health Operational reporting and data visualization ITSM/ticketing platform integrations and workflow automation Secure credential, certificate, secret, and service-account management Technical documentation, testing, release management, and change control Working Knowledge AI-assisted IT operations, retrieval-augmented generation, and agent-based workflows Microsoft Copilot, Copilot Studio, Azure AI services, or comparable enterprise AI platforms Logic Apps, Power Automate, Azure Automation, or comparable orchestration tools Domo, Power BI, data warehouses, or analytics platforms Cloud, virtualization, network, Linux, Windows, container, application, and telecom monitoring concepts ITIL-aligned incident, problem, and change management Security, privacy, auditability, and responsible AI governance principles Required Experience & Qualifications Demonstrable, hands-on experience administering and customizing ScienceLogic SL1 in a production enterprise or service-provider environment. Proven delivery of custom SL1 reporting, dashboards, monitoring content, PowerPacks, or integrations. Experience building and supporting integrations between SL1 and third-party systems. Ability to diagnose complex monitoring, collection, event, performance, reporting, and data-quality issues. Strong written and verbal communication with the ability to translate operational needs into technical solutions. Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience. Preferred Skills & Experience Experience operating ScienceLogic SL1 in an MSP, telecommunications, network-services, or multi-customer environment. Experience developing custom PowerPacks using supported SL1 development methods, APIs, scripting, and GraphQL/GQL. Experience integrating SL1 with ITSM platforms such as Autotask PSA, ServiceNow, or comparable systems. Experience delivering customer-facing SLA, availability, capacity, service-health, and executive reporting. Experience integrating SL1 data with Domo, Power BI, data lakes, or other analytics platforms. Experience applying AI to event summarization, alert enrichment, root-cause assistance, knowledge retrieval, workflow orchestration, or operational reporting. Experience with network, cloud, infrastructure, application, container, and service-level observability. Experience supporting globally distributed or remote-first technical teams. Experience maintaining audit-ready platform documentation and controlled release processes. Preferred Certifications ScienceLogic - Highest Priority Current or recent ScienceLogic SL1 certification appropriate to platform administration, engineering, or development ScienceLogic Certified Expert or comparable advanced ScienceLogic accreditation Additional ITIL Foundation or higher Microsoft Azure, Power Platform, AI, data, or automation certifications Relevant Python, API, observability, cloud, or service-management certifications Candidate Evidence We Would Value Examples of custom PowerPacks, Dynamic Applications, reports, dashboards, or integrations the candidate personally designed or maintained. A clear explanation of an SL1 API integration, including authentication, data flow, error handling, monitoring, and support model. Examples of improving SL1 data quality, event fidelity, reporting usefulness, platform performance, or supportability. A practical approach for using AI with SL1 while protecting sensitive data and retaining human oversight. Technical documentation or architecture examples that show disciplined engineering and operational ownership. Success Measures SL1 availability, collection health, data quality, and platform reliability targets are achieved. Custom monitoring and reporting requirements are delivered accurately, securely, and maintainably. PowerPacks and custom SL1 content follow documented development, testing, release, and lifecycle standards. Operational, executive, customer, and SLA reporting becomes more reliable, useful, and timely. Integration failures, manual handoffs, duplicate effort, and unsupported customizations are reduced. Monitoring coverage and event quality improve while avoidable alert noise is reduced. AI-assisted use cases produce measurable operational value without weakening security, privacy, governance, or human oversight. Platform upgrades, lifecycle activities, and vendor escalations are planned and executed effectively. Teams receive high-quality documentation, knowledge transfer, and dependable technical escalation support. ScienceLogic SL1 data is used more effectively to drive operational decisions, customer outcomes, and continuous improvement. Role Profile Primary specialty: ScienceLogic SL1 platform engineering, reporting, customization, and integration. Secondary specialty: Automation, APIs, analytics, and AI-assisted operations. Operating style: Hands-on technical ownership with strong stakeholder communication and documentation discipline. Business outcome: A reliable, extensible, and well-governed observability platform that converts monitoring data into actionable intelligence.

Location: Auckland Workplace: OnSite ABOUT HALTER At Halter, we’re on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices. Imagine watching 500 cattle stand up and walk calmly towards their next break? No quad bikes, no dogs, no fences. Just a group of cattle walking at their own pace. People say it looks like magic. Our customers are revolutionizing grazing with Halter. It's changing lives and transforming an industry. People join Halter to do meaningful work. By joining us you’ll be solving challenging problems within a talented team and a culture built for high performance. Our team out-think, out-work and out-care. We’re committed to delivering real change in the world - this isn’t easy, and in truth, we love that it’s hard. We’re backed to deliver on a mission that matters by Tier 1 investors including Founders Fund https://foundersfund.com, Bessemer Venture Partners https://www.bvp.com/, BOND, https://www.bondcap.com/ DCVC https://www.dcvc.com/, Blackbird https://www.blackbird.vc/, Promus Ventures https://www.promusventures.com/, Rocket Lab’s Peter Beck and Icehouse ventures https://www.icehouseventures.co.nz/?utm_term=icehouse%20ventures&utm_campaign=Brand+Keywords&utm_source=adwords&utm_medium=ppc&hsa_acc=4064636360&hsa_cam=16902737884&hsa_grp=134004309485&hsa_ad=592971340272&hsa_src=g&hsa_tgt=kwd-1082530126230&hsa_kw=icehouse%20ventures&hsa_mt=b&hsa_net=adwords&hsa_ver=3&gclid=Cj0KCQjw2v-gBhC1ARIsAOQdKY0J0DepRVFDmjQlAkJPbZuQnLSA5UVzUzOXYiPxkjX-SeVa513_BhkaAr-MEALw_wcB. To find out more, visit our LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. ABOUT THE ROLE As a Technical Specialist - Platform, you’ll sit within the CX Technical team, acting as a bridge between our farmers and the engineering teams that look after the core platform.. You’ll be the specialist for escalated tickets relating to Halter’s platform software issues customers raise across our web and mobile apps, services, integrations and data. You’ll investigate each one enough that it gets solved, or that engineering can pick it up and act straight away. You’ll turn what you learn into upskilling our T2 CX Team, tooling, playbooks and product insight, so each issue is less likely to happen again and quicker to fix if it does. What you’ll do - Contribute to the reliability and performance of our systems, including during complex or high-pressure situations. - Build and maintain internal tooling to help root-cause issues for our T2 team - Contribute to architectural decisions on user interfaces, design systems, services, APIs, data models, and infrastructure. - Work closely with frontend, hardware, data, design, and product teams to deliver high-impact features. - Train and upskill the T2 team to root cause and solve more platform and app issues themselves, reducing the volume of tickets that need to be escalated to this role - Triage and manage any issue escalated from our T2 team related to the Halter platform, escalating to the Platform team when deeper engineering investigation is needed - Identify recurring problem areas and drive longer-term solutions through tooling, process, or platform improvements - Track and report on key support and reliability metrics (ticket volume, resolution time, escalation rate, recurring issues) - Participate in relevant on-call or roster coverage to support incident response and ensure platform reliability for farmers - Bridge the teams, translate field and technical findings into improvements across product, process, and education, and represent escalated customer context internally so the right decisions get made. - Get on-farm when it matters; conduct on-farm investigations when remote diagnosis isn't enough, validating setups, app usage, farm workflows, and integrations firsthand. - Undertake other duties as required from time to time. What success looks like Success in this role would typically be reflected in the following: - At least two years in technical support, support engineering, quality assurance or a similar customer-facing technical role. - Comfort digging into how software works: reading logs, querying data and understanding how apps, services and integrations fit together. - A structured, curious approach to problem solving. You don’t stop at the symptom. - Clear written and verbal communication with both engineers and farmers. - The ability to build simple dashboards, scripts, trackers or playbooks. - Ownership. You see issues through to the end. - Care for customers and their animals. Nice to have - Experience in software-as-a-service, connected devices or agri-tech. - Familiarity with tools like Metabase, Athena, Grafana, Linear or Intercom. - Some scripting or coding experience. OUR OFFICE FIRST APPROACH There’s a reason you visit your friends in person, live with your family and don’t do dinners over Zoom. Humans are wired for connection. We believe a world-class, in-person office culture is the best way for high-performing teams. Being office first is a core pillar of our culture. We believe in-person connections are key to driving your own growth, learning, impact, and building genuine long-lasting relationships. Strong relationships make it easier to disagree, give feedback, and do meaningful and aligned work. We don’t like having heaps of rules or policies, but this means having strong, trusted relationships is critical. We’re office first, not office only. This means working from the office everyday is our default setting, but we flex when we need to. We have a high-trust culture, so everyone is trusted to do what’s best for Halter. Our office vibe is something special, it’s hard to describe until you’re here, but people at Halter who have come from fully remote or hybrid companies say they could never go back - the high energy and spectacular people they are now surrounded by everyday makes work so enjoyable. Your growth, your learning and your impact is truly unlimited here, and a big part of that comes from being together solving problems, innovating, building context, and constantly learning from each other. JOIN OUR TEAM Halter is committed to promoting a diverse and inclusive workplace — a place where we can each be ourselves and do the best work of our lives. Research shows that while men apply to jobs when they meet an average of 60% of the requirements, women and under-represented groups of candidates tend to only apply when they meet every requirement. If you think you have what it takes but don’t necessarily tick every requirement on this job description, please still get in touch and apply to Halter. We’d love to chat to see if you’ll be an epic fit! If this opportunity sounds like you, please apply below by sending through your cover letter explaining why you’re excited about this role and working at Halter, along with your CV, and we’ll be in touch! Please also feel free to check out the careers page https://www.halterhq.com/careers for more information on working at Halter and don't forget to follow us on LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. WHY OUR TEAM LOVES WORKING AT HALTER: - Work that genuinely matters. Every now and again a company comes along that transforms an entire industry and leaves the world in a better place. Our team gets to be part of something truly meaningful, helping farmers improve their livelihoods, spend more time with their families, and build more sustainable operations. - Spectacular people solving hard problems. Our culture is designed for talented people to do work that changes lives. The team is filled with diverse, kind, and driven people who push each other to do their best work. You'll be thrown into the deep end, tackling complex challenges and building something tangible that solves real problems. - You'll grow here. Autonomy, mastery, and learning define how we work. You'll have the freedom to work on interesting problems, master new skills, and continuously develop yourself, both through your role and our personal growth fund. - This isn't easy, and we love that it's hard. Working at Halter will be the most rewarding and the most challenging work of your life. We move fast, take bold bets, and work hard to reshape an entire industry. As one team member put it: "Joining Halter is a bit like strapping yourself to a rocket ship, but it's an epic journey to be a part of!"

Location: Utah | Hybrid Please Note: This is a Utah-based hybrid position which will require some regular in-office days each week. Additionally, employment with BambooHR is contingent on passing both a background and credit check. AI at BambooHR At BambooHR, we’re all about setting people free to do great work, and we believe AI is a powerful partner in that mission. We’re leaning into intelligent tools to streamline our workflows, giving us more time for high-impact innovation. We look for curious, forward-thinking people who are ready to explore how AI can elevate their work and help us reimagine the future of HR. Essential Job Duties We're looking for a Senior Product Manager to drive the strategy and execution of BambooHR's core data platform: the foundational layer that defines how every system, integration, and AI experience understands our data. You'll play a key role in shaping how BambooHR represents its data internally and how that foundation powers the AI-driven experiences our customers depend on. This is not a traditional product role. You won't own a customer-facing UI. You own the layer underneath: the data definitions, contracts, and adoption process that make every product team faster, every integration simpler, and every AI interaction more accurate. Your customers are primarily internal, and when the platform is right, every team benefits. As the Senior Product Manager for this space, you'll coordinate across product and engineering teams to define and evolve the canonical data model, partner with architects to make hard technical tradeoffs, and connect foundational platform work to real customer outcomes. You will: Drive alignment on data definitions across product and engineering teams, resolving conflicts and locking decisions that the rest of the organization can build on. Coordinate a multi-team, multi-quarter effort without direct authority over the teams doing the work. Partner closely with principal architects and engineering leads to make principled data modeling tradeoffs and communicate the implications broadly. Ensure the data platform is easy to build against: clean APIs, well-documented contracts, and a clear upgrade path as the model evolves. Build the internal case for platform investment by connecting foundational decisions to real outcomes for integrations, AI features, and customer-facing products. Own the data catalog and validation process, ensuring coherence as new domains are onboarded and new entities are proposed. Measure adoption and coverage. Know at any point how complete the model is, where gaps exist, and what is blocking progress. Work closely with AI platform teams to ensure the data model serves as a reliable foundation for AI-driven experiences. If you are an experienced Senior Product Manager with a passion for data infrastructure and a track record of driving complex, cross-team alignment, we encourage you to apply. Join us in building the data foundation that powers BambooHR's next generation of AI products. What You Need to Get the Job Done You feel aligned with the BambooHR values 5+ years experience as a Product Manager, with a proven track record of shipping impactful products Technical depth in data modeling, API design, or data infrastructure. You do not need to write the schema, but you need to read it, challenge it, and make principled decisions about what belongs in the model and what does not. Proven ability to drive alignment across teams and stakeholders you do not directly control. Comfort with ambiguity at the architectural level. You are energized by hard, unsolved problems, not slowed down by them. Clear, direct communication with both technical and non-technical audiences. You are entrepreneurial. You do not need direction. You identify the next constraint and move toward it. Deep experience working with qualitative stakeholder feedback and quantitative data to inform platform decisions. Nice to have: background in master data management, canonical data modeling, or developer platform product management in a SaaS environment. AI or ML infrastructure context is a plus. What You'll Love About Us A Great Company Culture that has been recognized by multiple organizations like Inc , and Salt Lake Tribune Comprehensive health, life, and disability insurance Generous leave policies that include 4 weeks of vacation, 12 company holidays, parental leave, and volunteer time off so you can enjoy quality of life 401k plans with up to 6% company match $2000 Paid-Paid Vacation bonus EAP through Headspace Check out all our benefits that benefit you About Us At BambooHR, we're building something different: we're building a people intelligence platform that transforms HR and sets people free to do great work! We're a proven market leader driving innovation while building lasting success through thoughtful, sustainable growth. Here, you'll find a place that champions growth: both professional and personal, both individual and collective. We invest in potential, giving you the space to stretch your capabilities and turn good ideas into reality while providing the safety net of a supportive, values-driven culture. Our approach combines meaningful work with meaningful lives, offering competitive benefits, professional development, and the flexibility to thrive both in and outside the office. What sets us apart isn't just what we do, but how we do it: with openness, integrity, and a shared commitment to doing the right thing. Join us in creating HR software that makes work better for everyone, while we make work better for you. BambooHR is committed to the full inclusion of all qualified individuals and will ensure that persons with disabilities are provided reasonable accommodations throughout the hiring process.  If you would like to request accommodations, please let your recruiter know. BambooHR is An Equal Opportunity Employer--M/F/D/V Because our team members are trusted to handle sensitive information, we require all candidates that receive and accept employment offers to complete a background check before being hired. For information on California Privacy Policy, click here . Our process utilizes AI as an assistant to efficiently process and analyze candidate data. Recruiters and hiring managers maintain full oversight and accountability, ensuring that all final selection and rejection decisions are human-made and based solely on objective job qualifications. Please see our General Privacy Notice and California Privacy Notice for more details. See our AI Guidelines for Candidates for details on how BambooHR uses AI in recruiting, how we expect candidates to use AI, and what is not allowed.

Location: New York The Role We are looking for a Senior Engineer, Platform/SRE to join our growing engineering team. As an early member of the team, you will also have a lot of impact on our team culture, processes and norms. We’re an encouraging environment that values both teamwork and autonomy. We have many exciting upcoming challenges in supporting an exponentially scaling platform with new product launches, and much more! Responsibilities - Primary engineer driving best practices and improved adoption of observability tools, especially Datadog - Optimize Taptap’s deployment methodologies using Github Actions and AWS ECS - Drive maturation of Taptap Send service management through adoption of SRE best Practices - Contribute to Taptap Send infrastructure as code projects, especially in Terraform - Work with other engineering teams to assure optimal operation of Taptap Send’s systems including responding to large-scale incidents Requirements - Deep knowledge and hands-on experience with infrastructure as code tools like Terraform, Cloudformation and Ansible - Familiarity with industry leading CI/CD tools including Jenkins, GitHub Actions, BitBucket Pipelines, CircleCI, BuildKite, etc. - Experience with hands-on software engineering as part of a larger team or project (open-source experience acceptable) - Experience scripting in Python - Hands-on experience with Docker and container schedulers including AWS ECS & EKS, Kubernetes, Mesos/Marathon, etc. - Hands-on cloud experience, especially in AWS. AWS certification preferred. - Degree in Computer Science, IT, or similar field; a Master’s is a plus or seven years' equivalent experience About Us   We’re building the world’s leading cross-border fintech for emerging markets - empowering families, fuelling local economies, and changing how millions access financial services.   Since our launch in 2019, we have transformed how money moves across borders with our operations spanning 6 out of 7 continents and covering both the busiest and most underserved (remittance) corridors. We tapped into a massive shift - from banks to phones - bringing digital finance to places where traditional systems never reached. The next stage of growth will fuel a network of services and products especially designed to make money more accessible to diaspora communities including local cards, and additional savings and payments features.   We’re growing fast, backed by world-class investors, and scaling a product that blends real world impact with cutting edge fintech innovation.   Here’s a little more: - Founded by Harvard grads and 3-time founders who previously built Segovia (acquired) and GiveDirectly (>$300M revenue, fastest-growing NGO in the world) - Backed by top investors including Spark Capital, Canaan, Reid Hoffman, Breyer Capital, Unbound, Wamda, and more - Built by global top performers from Bain, Google, McKinsey, Uber, Checkout, Bolt, and beyond - we move fast, stay humble, and care deeply about our mission - Truly global team - 250+ people, 50+ nationalities, 50+ languages - Guided by our values - ownership, impact, humility, and heart - in deed, not just word   TAPTAP VALUES https://www.taptapsend.com/our-values Impact first Team next Accept reality Propose solutions Win with grit Be proactively candid, with yourself and others Love the particular Own it Create positive energy Maybe, even have fun   Taptap Send is an equal opportunity employer dedicated to building an inclusive and diverse workforce. All employment decisions are decided on the basis of qualifications, experience and business need. We strongly encourage applications who are members of underrepresented communities to apply. If you require reasonable adjustments to be made during the recruitment process, please do not hesitate to let us know. Any information you provide us in this respect will only be used to accommodate your requirements. Note: we recognize imposter syndrome is real - any candidate that does not perfectly fit every characteristic of this role is still strongly encouraged to apply.

Location: India About Us SingleStore engineers build the real-time data platform that enables some of the world’s most demanding applications. Our cloud-native database architecture enables high-performance transactional and analytical workloads at scale. Position Overview We are seeking a highly skilled DevOps/Cloud Platforms Engineer to join our engineering organization and help drive the next generation of our infrastructure and platform capabilities. In this role, you will be responsible for designing, operating, and optimizing cloud environments, maintaining cloud infrastructure, and creating internal developer platforms that support fast, reliable and secure software delivery. You will work closely with engineering, QA, data, and product teams to ensure our systems are scalable, resilient, and easy to use. The ideal candidate brings a strong blend of cloud infrastructure expertise, DevOps mindset, and hands-on development skills. You will automate wherever possible, use Infrastructure as Code to maintain consistency, and leverage modern DevOps tooling, including AI-assisted automation to enhance operational efficiency and developer productivity. This is an operations role for someone who thrives in solving complex technical problems, improving processes, and building platforms that accelerate engineering velocity. Primary Roles and Responsibilities Automate infrastructure provisioning, configuration management, monitoring, and operational workflows using IaC and scripting languages. Own the deployment, maintenance, and lifecycle management of systems supporting engineering (Kubernetes clusters, container registries, artifact systems, and internal developer platforms) leveraging deep expertise in Kubernetes, container runtimes, and the broader cloud-native ecosystem (Helm, Kustomize, operators). Troubleshoot complex infrastructure and application issues, driving root-cause analysis and developing long-term remediation solutions Design, build, and maintain cloud infrastructure across major cloud providers (AWS, GCP, Azure), and develop/support deployments of applications, services, and monitoring with a strong focus on scalability, reliability, and cost optimization. Develop, enhance, and maintain CI/CD pipelines using modern DevOps tooling (GitHub Actions, ArgoCD, Terraform, etc.). Develop internal tooling and automation using Terraform, Python, Go, or similar languages to streamline operational tasks and improve developer productivity. Implement and manage security best practices across cloud environments, including identity management, secrets handling, audit logging, and network controls. Leverage AI/ML tools to automate repetitive DevOps tasks, operational workflows. Required Skills and Experience 4-8+ years of experience in DevOps, Cloud Engineering, Systems Administration, or similar infrastructure-focused roles. Familiar with GIT and comfortable with at least one systems programming language (Golang) and one scripting language (Python, Bash). Proficiency with Infrastructure as Code (Terraform, Pulumi, or CloudFormation) and configuration management (Ansible, Chef, or SaltStack). Working knowledge of at least one of observability stacks (Prometheus, Grafana, ELK/OpenSearch, Datadog, etc.) and operational troubleshooting. Strong hands-on experience with Kubernetes management in production environments Experience designing, developing, and/or troubleshooting distributed systems. Comfort with shells on *nix family systems. B.S. degree or equivalent experience in Engineering, Computer Science or a related field. Preferred Qualifications: Certifications from cloud service providers (e.g., AWS DevOps, GCP DevOps Engineer). Strong software development skills, with experience building production-grade services, automation, APIs, and infrastructure tooling. Proficiency in Go, Python, or other modern programming languages. Strong cloud networking fundamentals, including VPC/VNet, subnets, NAT Gateways, Transit Gateways, routing, DNS, load balancing, and private connectivity. Hands-on experience with VPN and secure networking technologies such as Tailscale, Headscale, WireGuard, or similar solutions. Strong Kubernetes experience, including cluster architecture, networking, service discovery, ingress, observability, and troubleshooting. Understanding of distributed systems concepts and experience working with highly available, scalable, and fault-tolerant systems. Natural curiosity and a strong drive to learn new and adjacent technologies. Experience applying AI/ML tools (e.g., GitHub Copilot, cloud AI services, LLM-based automation, anomaly detection tools) to streamline DevOps and infrastructure workflows is a strong plus. Experience with LangChain, AI agents, and MCP (Model Context Protocol), including building and integrating agent-based solutions. Hands-on experience implementing AI-enhanced threat detection and security systems. SingleStore delivers our cloud-native database with the speed and scale to power the world’s data-intensive applications. With a distributed SQL database that introduces simplicity to your data architecture by unifying transactions and analytics, SingleStore empowers digital leaders to deliver exceptional, real-time data experiences to their customers. SingleStore is venture-backed and headquartered in San Francisco with offices in Sunnyvale, Raleigh, Seattle, Boston, London, Lisbon, Bangalore, Dublin and Kyiv. Consistent with our commitment to diversity & inclusion, we value individuals with the ability to work on diverse teams and with a diverse range of people. To all recruitment agencies: SingleStore does not accept agency resumes. Please do not forward resumes to SingleStore employees. SingleStore is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with the Company. SingleStore values individuals for their unique skills and experiences, and we’re proud to offer roles in a variety of locations across the United States. Salary is based on permissible, non-discriminatory factors such as skills, experience, and geographic location, and is just one part of our total compensation and benefits package. Certain roles are also eligible for additional rewards, including merit increases and annual bonuses. For candidates residing in California, please see our California Recruitment Privacy Notice . For candidates residing in the EEA, UK, and Switzerland, please see our EEA, UK, and Swiss Recruitment Privacy Notice. ENG00458

Location: Paris, Zurich Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. We operate one of the most demanding data infrastructures in finance, supporting mission-critical distributed systems across multiple database and streaming platforms, with strict requirements around availability and performance. Our environment spans both on-prem infrastructure and AWS, with a strong focus on standardization, automation, and Kubernetes-based orchestration. We are looking for an experienced Senior Data Platform Engineer to join our DevOps team in Paris. This is a senior, hands-on role for an engineer who can challenge and reshape our existing infrastructure, set technical direction, and raise the bar across the team . This role is fully on-site , with a strong focus on ensuring the reliability and scalability of our production data infrastructure. Your future role within QRT: This role sits at the intersection of data engineering and infrastructure engineering, focused on architecting reliable, scalable, and high-performance data platforms. You will bring an independent and critical perspective, identifying weaknesses in the existing stack, challenging current design decisions, and helping drive the technical roadmap. Your responsibilities will include: Owning the architecture, reliability, and performance of production data systems (ClickHouse, CockroachDB, Trino, etc.) Evaluating the existing infrastructure, identifying architectural gaps, and driving improvements Designing and operating database clusters on Kubernetes (via operators) at scale Setting standards and best practices for data pipelines (ingestion, transformation, replication) Driving and maturing Infrastructure-as-Code practices (Terraform, Helm) Operating and evolving storage and data platforms across on-prem (VAST) and AWS (S3, EMR, MSK, RDS, EKS) Establishing standards for Docker images and CI/CD workflows for data services Defining and maintaining AWS IAM policies, permissions, and security best practices Leading complex troubleshooting across the stack (databases, OS, storage, networking) Defining and improving observability practices (metrics, alerting, capacity planning) Mentoring engineers and collaborating with engineering, data, and research teams to influence technical decisions Your present skillset: 8+ years in DevOps, Data Platform Engineering, or similar, with experience owning production infrastructure at scale Deep production experience with distributed data systems (e.g. ClickHouse, Trino, EMR), including performance tuning and architectural decision-making Expert-level Kubernetes experience (stateful workloads, Helm, operators), ideally at significant scale Extensive Infrastructure-as-Code experience (Terraform, Helm, etc.), including defining standards and reusable patterns Strong knowledge of the AWS data ecosystem (S3, EKS, EMR, MSK, RDS) Deep understanding of AWS IAM and security best practices Hands-on experience with Docker and CI/CD pipelines Solid experience designing and operating data pipelines (Kafka, Spark, Airflow, etc.) Strong Linux fundamentals and scripting (Python and/or Bash) Deep understanding of database reliability (replication, backups, failover) Demonstrated ability to independently assess complex systems, challenge existing designs, and drive technical improvements Strong communication skills, with the ability to influence stakeholders and mentor other engineers Nice to have: OLAP / high-throughput systems experience at scale Experience with VAST Data or similar storage systems Familiarity with Iceberg, Delta Lake or Hudi Observability tools (Prometheus, Grafana, OpenTelemetry) GitOps tools (ArgoCD, Flux) CKA/CKAD or equivalent deep Kubernetes expertise Programming in Go, Rust, or Python Knowledge of Parquet/Arrow and query engines AWS certifications Prior experience in a technical lead or staff-level role QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: Hong Kong Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. As part of our Research Platforms team, you will design and build the distributed systems that enable large-scale computational workloads to run efficiently, securely, and reliably across our global research infrastructure. This role sits at the intersection of distributed systems, platform engineering, and high-performance computing. You will work on the foundational services researchers depend on every day, including workload orchestration, scheduling, security, observability, and platform tooling. What You'll Do Design, build, and operate distributed services that manage compute workloads and data access across large-scale infrastructure Develop platform APIs and tooling that improve the productivity of quantitative researchers Improve the reliability, scalability, and performance of compute-intensive research workflows Build solutions for scheduling, resource management, observability, and security Partner closely with researchers and infrastructure teams to translate complex requirements into scalable platform capabilities Take ownership of systems end-to-end, from design and implementation through production operation What We're Looking For Required BS, MS, or PhD in Computer Science or a related field, or equivalent practical experience 5+ years of experience building and operating large-scale distributed systems in production Strong proficiency in C++, Java, Rust, Go, or similar systems languages Strong understanding of distributed systems, concurrency, performance, reliability, and fault tolerance Experience designing services, platforms, or infrastructure used by other engineers Preferred Experience with internal developer platforms, cloud infrastructure, orchestration systems, or HPC environments Familiarity with GPU-accelerated workloads and modern ML frameworks such as PyTorch or TensorFlow Experience supporting researchers, data scientists, or other highly technical users Exposure to quantitative finance or large-scale data-intensive environments Why Join QRT? Solve challenging distributed systems and infrastructure problems at scale Build platforms that directly accelerate research and innovation Work closely with world-class quantitative researchers and engineers Take ownership of critical systems in an environment that values technical excellence, autonomy, and impact QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: Hong Kong Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. We are looking for an exceptional Software Engineer to be an integral member of the Core Platform team. We work closely with traders and risk managers to provide real time and end of day Pricing and Risk information for all trading activity within QRT. This position has high visibility across the business and exposure to all parts of the trading lifecycle. This position requires a commitment to effective problem solving, strong technical skills, good attention to detail and excellent communication skills. Your future role within QRT Key member of the core technology team building and enhancing high throughput Linux based services Integrating and maintaining pricing models for trading and risk calculation within the core technology platform Potential to work with other services in the platform like order, trade, position managers, product reference and market data systems Working closely with pricing quants, quantitative developers, traders and operations staff to design and develop cutting-edge systems to keep QRT at the forefront of its field Working in primarily in C++ and Python Direct interaction with risk managers and trading desk Your Present Skillset 4+ years of experience of a front or middle office role Expert in low latency, high throughput Linux development using advanced C/C++, STL Key experience in designing and implementing multithreaded and distributed systems Experience working with pricing models is highly desirable Good knowledge of Equities, Futures, Options, Swaps asset classes highly desirable Good knowledge of execution lifecycles and instrument lifecycles (such as corporate actions, settlement, bond coupons, swap resets) is highly desirable Advanced knowledge of distributed network architecture Proficient with Linux / GCC development toolchain and Linux Red Hat OS is essential Experience with QT/WX/MFC GUI Frameworks nice to have. Team player with good communication skills QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: Hong Kong Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role within QRT: As a Windows Platform Server Engineer, you will be part of the Global Infrastructure Team, responsible for designing, building, and supporting Microsoft Windows Server and virtualization infrastructure. Your role is critical in ensuring the smooth operation of core IT services that underpin research technology, trading platforms, market execution, and data processing. Responsibilities Evaluate, recommend, and implement new technologies to enhance reliability, scalability, and security. Build, manage, and deploy all technologies related to the on-premises Windows Server stack, including OS, observability, backups, and identity services. Configure and maintain monitoring and dashboarding tools to track server and application performance. Build, manage, and deploy Windows Server environments (2022–2025). Build, deploy, and monitor a globally distributed, multi-forest Active Directory environment. Manage and configure tools such as Splunk, Configure and manage Active Directory, Group Policy, and Entra ID integration to enforce security and access policies. Automate server management using PowerShell, Ansible, and Terraform for provisioning, configuration, and maintenance. Optimise and troubleshoot server backups to ensure data integrity and disaster recovery readiness. Utilise SIEM tools to monitor and manage server security and performance. Work with storage technologies (SAN/NAS) to ensure efficient integration and high availability. Build manage and deploy VMMware ESXi services, clustering, infrastructure and network concepts. Develop and maintain technical documentation, architecture designs, and support materials. Solid understanding of networking concepts Support and optimise Citrix DaaS, Azure, Microsoft 365, and Intune environments. Provide 2nd-line support and act as 3rd-line escalation for all Windows Server and application-related issues. Provide cross-functional troubleshooting support when required. Stay informed about market trends and emerging technologies to identify strategic improvement opportunities. Your present skillset: Extensive experience designing, deploying, and managing Windows Server environments, including large-scale enterprise migrations. Strong expertise in Active Directory, Group Policy, and DNS design, implementation, and advanced troubleshooting. Advanced PowerShell scripting skills for automation, OS builds, patching, and infrastructure optimisation. Deep understanding of Windows Update processes, enterprise patch management, and security hardening best practices. Experience with configuration management tools such as Ansible. Experience with backup tools such as Veem. Experience managing cloud infrastructure, including AWS EC2 and Azure. Strong troubleshooting expertise across Windows 10/11 client operating systems. Solid cloud platform experience with Azure, Entra ID, Microsoft 365, and Intune. Experience supporting and optimising Citrix DaaS / VDI environments. Experience supporting and optimising ESXi environments. Strong knowledge of networking concepts, certificate services (PKI), and infrastructure security. Experience with performance monitoring and optimisation of Windows servers, desktops, and virtual machines. Excellent communication skills with the ability to work independently, prioritise workloads, and contribute effectively to cross-functional projects Occasional weekend shifts and out-of-hours coverage may be required to ensure continuous support. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: The Netherlands; United Kingdom; Spain; Germany Workplace: Remote ABOUT THE ROLE At ClickHouse, we believe in making product decisions grounded in data, not gut feelings. To support that, we've built a comprehensive internal data warehouse — read more about it on our blog https://clickhouse.com/blog/building-a-data-warehouse-with-clickhouse. It powers analytics, forecasting, and decision-making across every team in the company. Our stack centers on ClickHouse as the core storage and processing engine, complemented by dbt, Airflow, S3, AWS, Superset, and GitHub Actions. We ingest data from 30+ distinct external sources, process over 2.5 PB of data, and deliver most data marts to business consumers with a 1-hour end-to-end latency - a standard that demands highly optimized, rock-solid transformation pipelines. We're looking for a Senior Data Engineer to help evolve the DWH platform, push its technical boundaries, and deliver reliable, high-performance data models to business users across the organization. KEY RESPONSIBILITIES 1. DWH Platform Development - Design and develop reusable Airflow components - operators, connectors, and hooks - along with custom integrations tailored to our data architecture. - Build reusable dbt macros and abstractions: incremental strategies, ETL building blocks, and generic data quality tests, all optimized for ClickHouse-specific behavior and our data patterns. - Develop DataOps tooling - CI pipelines, data migration frameworks, and security controls - with a strong focus on reliability, self-service usability, and scale. 2. Team contributions - Conduct thorough code reviews for team members and other team contributors. - Actively participate in technical and architectural design discussions. - Drive technical leadership in specific areas of our stack. - Continuously improve the team's development environment, with a focus on automation - including AI-assisted workflows. - Contribute to platform stability through proactive troubleshooting and timely incident resolution. 3. Data modeling - Develop, refactor, and optimize business data models in line with our modeling standards and ClickHouse best practices. - Mentor and support contributors through code reviews and technical guidance. - Lead the design and implementation of the most technically demanding data marts - particularly those involving high data velocity, large volumes, or complex business logic. QUALIFICATIONS Required: - Exceptional SQL skills - this is non-negotiable. - Strong hands-on experience with Airflow, dbt, and Python. - Proven track record building and optimizing large-scale, high-throughput data pipelines. - Solid understanding of data warehousing fundamentals: ETL/ELT, dimensional modeling, and data quality. - Bachelor's degree in Computer Science or a related field. - Comfortable thriving in a fast-paced startup environment — exciting and dynamic, but sometimes wonderfully chaotic. Preferred: - Hands-on experience with ClickHouse - a significant advantage. - Familiarity with AWS or other cloud platforms. - Experience with CI/CD development, especially using GitHub Actions. PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: United Kingdom Workplace: remote About Intermedia Are you looking for a company where YOUR VOICE is heard? Where you can MAKE A DIFFERENCE ? Do you THRIVE in a FAST-PACED work environment? Do you wake every morning EXCITED to work with GREAT PEOPLE and create SUCCESS TOGETHER ? Then Intermedia is the place for you. Intermedia has established itself as a leading provider of cloud communications and collaboration tech that allows companies to connect better. We have a strong track record of growth, profitability, and creating an environment where everyone matters. Everyone. While we are fast-paced and admittedly a bit intense, we promise that you won’t be bored. You will find Intermedia is a place where you can indulge your passion for creating and supporting great cloud technology. What’s more, we always look to promote from within and have many employees who have been with us 10, 15, and 20+ years! Culture at Intermedia is built on teamwork and transparency. We hold each other accountable and always have each other’s back! Are you ready to make your mark? About the role: While primarily remote, this role may require occasional visits to the Bristol office or London. We are looking for a Senior Platform Engineer to join Intermedia and help build, operate, and evolve the Resource Plane of our Internal Developer Platform (IDP). This is a senior individual contributor role with staff-level expectations, operating in a small, high-impact team responsible for shared, non-database runtime services. The team owns critical infrastructure services such as event streaming, messaging, caching, object storage, and logging backends. The scope of this platform is expected to evolve over time, requiring engineers who are comfortable operating under ambiguity and taking ownership of complex, stateful systems. What you will be doing: Own the design, implementation, and operation of shared Resource Plane services used across the organization Operate and evolve Kafka, RabbitMQ, Redis, and Elasticsearch platforms in production Apply SRE principles to ensure availability, scalability, reliability, and safe upgrades of stateful systems • Build and maintain Infrastructure-as-Code and GitOps-based automation for provisioning and lifecycle management Define and enforce supported usage patterns, guardrails, and golden paths for platform consumers Integrate Resource Plane services into the Internal Developer Platform for self-service consumption • Participate in on-call rotation (initially may include 24x7 weekly rotation; target state is business-hours primary) Lead incident response, root cause analysis, and reliability improvements for owned services Collaborate closely with Kubernetes Platform Team, IDP and other teams as required Act as a senior technical voice in architecture discussions and platform roadmap planning What you will bring to the role: A bachelor’s degree in Computer Science, Software Engineering, or Information Technology Senior-level experience operating production-grade, stateful distributed systems Strong hands-on experience with Kafka, RabbitMQ, Redis, and Elasticsearch Proven experience running infrastructure primarily in on-prem environments Strong understanding of Linux systems, networking, and storage fundamentals Deep experience with Infrastructure-as-Code (Terraform preferred) Experience with GitOps workflows and declarative infrastructure management Solid grasp of reliability engineering concepts (SLOs, error budgets, alerting, capacity planning) Experience working with Kubernetes-adjacent platforms and services Ability to operate independently and take ownership in a small team environment Preferred Qualifications : Experience designing shared platform services consumed by multiple product teams Familiarity with IDP concepts and developer self-service platforms Experience migrating on-prem workloads toward cloud-native or hybrid models Exposure to security, compliance, and governance requirements for shared infrastructure Prior experience in staff- or principal-level technical leadership roles Diversity, Inclusion, and Equal Opportunity We hire, promote, and compensate employees based on their ability to perform their job responsibilities, without regard to race, color, creed, religion, sex, gender, marital status, national origin, ancestry, age, citizenship, physical or mental disability, sexual orientation, or any other basis protected by applicable law (collectively referred to in our Code of Conduct as “Protected Classes”). We do not tolerate employment discrimination in the workplace, and we are committed to making reasonable accommodations for identified disabilities or other limitations as required by all applicable laws. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Location: Portugal Workplace: remote About Intermedia Are you looking for a company where YOUR VOICE is heard? Where you can MAKE A DIFFERENCE ? Do you THRIVE in a FAST-PACED work environment? Do you wake every morning EXCITED to work with GREAT PEOPLE and create SUCCESS TOGETHER ? Then Intermedia is the place for you. Intermedia has established itself as a leading provider of cloud communications and collaboration tech that allows companies to connect better. We have a strong track record of growth, profitability, and creating an environment where everyone matters. Everyone. While we are fast-paced and admittedly a bit intense, we promise that you won’t be bored. You will find Intermedia is a place where you can indulge your passion for creating and supporting great cloud technology. What’s more, we always look to promote from within and have many employees who have been with us 10, 15, and 20+ years! Culture at Intermedia is built on teamwork and transparency. We hold each other accountable and always have each other’s back! Are you ready to make your mark? About the role: While primarily remote , this role requires occasional visits to the office in Coimbra. We plan to open offices in Aveiro and Porto in the future. This approach gives team members the flexibility to work remotely while also coming together in the office for collaboration and teamwork. We are looking for a Senior Platform Engineer to join Intermedia and help build, operate, and evolve the Resource Plane of our Internal Developer Platform (IDP). This is a senior individual contributor role operating in a small, high-impact team responsible for shared, non-database runtime services. The team owns critical infrastructure services such as event streaming, messaging, caching, object storage, and logging backends. The scope of this platform is expected to evolve over time, requiring engineers who are comfortable operating under ambiguity and taking ownership of complex, stateful systems. What you will be doing: Own the design, implementation, and operation of shared Resource Plane services used across the organization Operate and evolve Kafka, RabbitMQ, Redis, and Elasticsearch platforms in production Apply SRE principles to ensure availability, scalability, reliability, and safe upgrades of stateful systems Build and maintain Infrastructure-as-Code and GitOps-based automation for provisioning and lifecycle management Define and enforce supported usage patterns, guardrails, and golden paths for platform consumers Integrate Resource Plane services into the Internal Developer Platform for self-service consumption Participate in on-call rotation (initially may include 24x7 weekly rotation; target state is business-hours primary) Lead incident response, root cause analysis, and reliability improvements for owned services Collaborate closely with Kubernetes Platform Team, IDP and other teams as required Act as a senior technical voice in architecture discussions and platform roadmap planning What you will bring to the role: A bachelor’s degree in Computer Science, Software Engineering, or Information Technology Senior-level experience operating production-grade, stateful distributed systems Strong hands-on experience with Kafka, RabbitMQ, Redis, and Elasticsearch Proven experience running infrastructure primarily in on-prem environments Strong understanding of Linux systems, networking, and storage fundamentals Deep experience with Infrastructure-as-Code (Terraform preferred) Experience with GitOps workflows and declarative infrastructure management Solid grasp of reliability engineering concepts (SLOs, error budgets, alerting, capacity planning) Experience working with Kubernetes-adjacent platforms and services Ability to operate independently and take ownership in a small team environment Preferred Qualifications : Experience designing shared platform services consumed by multiple product teams Familiarity with IDP concepts and developer self-service platforms Experience migrating on-prem workloads toward cloud-native or hybrid models Exposure to security, compliance, and governance requirements for shared infrastructure Prior experience in staff- or principal-level technical leadership roles Diversity, Inclusion, and Equal Opportunity We hire, promote, and compensate employees based on their ability to perform their job responsibilities, without regard to race, color, creed, religion, sex, gender, marital status, national origin, ancestry, age, citizenship, physical or mental disability, sexual orientation, or any other basis protected by applicable law (collectively referred to in our Code of Conduct as “Protected Classes”). We do not tolerate employment discrimination in the workplace, and we are committed to making reasonable accommodations for identified disabilities or other limitations as required by all applicable laws. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Location: Москва Мы создаем передовые решения в области интеллектуальной обработки неструктурированного контента бизнес-инициатив Банка и жизненного цикла AI Агентов, в том числе хранения и эволюции памяти. Наши продукты составляют сервисы от high-load до UI и располагаются в 3 сегментах сети: * RAG Platform * AI Agents SkillHub * AI Agents Memory * LLM Harness * AI Studio UI Наша платформа поддерживает и развивает более 300 инициатив, обрабатывает 100М+ запросов ежемесячно и интегрирована во все клиентские сценарии банка. Мы ищем Lead DevOps с сильным уклоном в Platform Engineering, который возглавит направление DevOps платформы: сформирует эффективные процессы, осуществит переход с ClickOps, legacy кодовой базы на тестируемый код, современные GitOps практики (в том числе перестройка CI/CD пайплайнов) для всех продуктов трайба. Вы будете отвечать за конечные метрики пользования платформой несколькими командами разработки и сопровождения (DORA и пр) и будете напрямую влиять на процессы внедрения наших продуктов, улучшая их стабильность, предсказуемость и общие трудозатраты команд на релиз. Обязанности \- руководство направлением DevOps платформы \- проектирование и реализация перехода на GitOps подход \- подбор команды, планирование целей на спринт/квартал/год \- выстраивание процессов по взаимодействую с платформой со смежными командами разработки и сопровождения \- контроль и влияние на DORA метрики. Требования • проверенный опыт в создании DevOps платформы, которой пользуются несколько команд/продуктов • инженерный подход к написанию тестируемого кода • продвинутое понимание k8s/openshift, ArgoCD, Helm • архитектурное понимание и умение планировать вид платформы на годы вперед • навыки технического ведения platform engineering направления - от сбора требований от стейкхолдеров до реализации CI/CD пайплайнов • сильный уровень Python / Java / иной язык разработки. Понимание groovy бонусом. **Будет плюсом** * желание разбираться и устранять проблемы в корне, нетерпимость к "заплаткам" и накоплению техдолга * умение обосновывать сложные технические решения и в том числе выдержка и умение говорить "нет" * опыт миграций DevOps стека работающего продукта * кросс-командная коммуникация и трансляция требований на команды разработки и сопровождения * работа с multi-tenant / segmented-network продуктами. Условия * гибридный формат работы * годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * регулярные митапы и развитое DS-community * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбер.

Location: San Juan, Puerto Rico; New York, NY; District of Columbia; Europe | Spain Workplace: OnSite About the Company Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world. You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Norwest, Galaxy Ventures, Dragonfly, Bessemer Venture Partners, FirstMark, Lightspeed, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk. Our Ethos We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company. About the role Rain is building payments and stablecoin infrastructure, and our data platform holds some of the most sensitive data a company can have: cardholder, ledger, and partner data across many countries. We’re looking for a Data Platform Engineer who has built and run data platforms for both batch and streaming to own the platform our data team and engineering pods depend on: the warehouse, streaming infrastructure, orchestration, BI, ML platform, access controls, and the tooling that makes all of it safe, reliable, and cost-efficient. Your product is the platform, and your customers are the engineers, analysts, and scientists who build on it. You’ll own the platform layer: the data and ML platform, the infrastructure for ingestion and processing in batch and streaming, data governance and security compliance, the warehouse, and the analytics and BI tooling. Data Engineers, Analytics Engineers, Data Scientists, and engineering pods build on it to run experiments, operate reliably, and turn data into decisions. At Rain, we’re builders who use AI to automate repetitive work. That changes what data roles look like: where a data scientist used to only analyze and an analyst used to only build dashboards, here everyone models data, writes production-quality code, and automates their own workflows. You own the result, including checking what the AI produces. For this role, that means automating access, deploys, and governance so the platform runs itself and stays compliant. What you’ll do - Design and build data platforms at scale for both batch and streaming, choosing storage, compute, and processing based on latency, cost, and reliability needs. - Own the infrastructure for BigQuery, streaming (such as Pub/Sub or Kafka, and Dataflow or Flink), Dagster+, and Lightdash as code, including environments, CI/CD, and deploys. - Own access and governance: IAM, policy tags, PII contracts, masked and no-PII access paths, and audit logs, across tables and streams. - Provide ML platform capabilities: feature pipelines, training data, and serving real-time features to fraud and risk models. - Build platform tooling: templates, CI checks, schema registry and data contracts, catalog, and lineage. - Monitor platform reliability, latency, and cost, and fix what is slow or expensive. - Design how backend events and CDC land in the warehouse, and advise backend pods on event design. - Respond to platform incidents and access requests, and automate the repetitive ones away. What you’ll need - At least 4 years building and running data platforms in production on a cloud provider such as GCP, AWS, or Azure, in both batch and streaming: you have operated infrastructure for each, not only one. - Experience designing data platforms at scale: storage and compute choices, multi-team access, reliability, and cost. - Experience operating cloud data warehouses and real-time stores such as BigQuery and ClickHouse. - Experience operating streaming infrastructure such as Pub/Sub, Kafka, Dataflow, or Flink, including retention, schema evolution, replay, and lag monitoring. - Experience operating batch infrastructure: orchestration (Dagster or Airflow), CI/CD, and environments. - Infrastructure as code with Terraform. - Experience with access control and data governance, such as IAM, column- or row-level security, and PII handling. - Strong Python and SQL. - Proficiency using AI tools to learn new skills and accelerate your work, while taking responsibility for checking the output. Nice to have - ML infrastructure experience, such as feature stores, Vertex AI, or model serving. - Experience in regulated environments such as payments, banking, PCI, or SOC 2. - Experience with data catalogs and lineage tools. - Experience with cost optimization in BigQuery, ClickHouse, or Snowflake. - Experience with CDC tools such as Datastream or Debezium. Things that enable a fulfilling, healthy and happy experience at Rain: Flexible time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves. Flexible working ☕ We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace. Easy to access benefits 🧠 For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsidized life insurance plan. Retirement goals💡 Plan for the future with confidence. We offer a 401(k) with a 4% company match. Equity plan 📦 Every Rainmaker gets an equity option plan so we all benefit from our success. Health and Wellness 📚 High performance begins from within. Rainmakers receive a monthly stipend to be used for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you! In-office meals 🍜 Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit. Team summits ✨ Summits play an important role at Rain. Time together helps us build relationships and a common destiny. Expect team and company offsites, both domestic and international.

Задачи: — Развертывание, настройка, подключение и поддержка платформы и сервисов Big Data, включая Airflow, Spark, JupyterHub, Superset, Vault, Redis и связанные компоненты; — Мониторинг состояния платформы, расследование инцидентов в производственной среде, восстановление доступности сервисов и анализ первопричин; — Эксплуатация и устранение неполадок в производственной инфраструктуре платформы как в локальных, так и в физических средах; — Устранение неполадок, связанных с развертыванием, сетью, хранилищем, DNS, TLS, подключением к сервисам, производительностью, надежностью и использованием ресурсов; — Разработка и совершенствование конвейеров CI/CD с использованием GitLab CI и инструментов сборки контейнеров, таких как Docker, Kaniko, BuildKit или аналогичные; — Разработка и поддержка рабочих процессов развертывания на основе GitOps с использованием ArgoCD и/или FluxCD; — Создание и поддержка шаблонов развертывания приложений с использованием Helm и Kustomize; — Интеграция и поддержка решений для программно-определяемого хранилища для контейнеризированных рабочих нагрузок с сохранением состояния; — Управление инфраструктурой как кодом и автоматизация с использованием Terraform и Ansible; — Интеграция компонентов инфраструктуры, таких как контроллеры входящего трафика, управление сертификатами, DNS, управление секретами, мониторинг, логирование, оповещения и хранилище; — Улучшение автоматизации, документации, руководств по эксплуатации, мониторинга, оповещений и операционных стандартов на всей платформе. Требования: — Опыт работы более 5 лет в качестве инженера платформы, инженера DevOps, SRE, инженера инфраструктуры или аналогичной должности; — Уверенное владение Linux, сетевыми технологиями, DNS, TLS и навыками устранения неполадок на системном уровне; — Практический опыт расследования инцидентов в производственной среде и решения проблем с надежностью; — Опыт работы с производственной инфраструктурой в локальной или физической среде; — Уверенный опыт работы с GitLab CI и сложными конвейерами CI/CD; — Опыт работы с контейнерными технологиями и инструментами сборки образов, такими как Docker, Kaniko, BuildKit или аналогичными; — Опыт работы с инструментами GitOps, такими как ArgoCD и/или FluxCD; — Опыт работы с Helm и Kustomize; — Опыт работы с Terraform и Ansible; — Практический опыт мониторинга, логирования, оповещения и устранения неполадок в производственных системах; — Опыт работы с Kubernetes или аналогичными платформами оркестрации контейнеров в производственной среде; — Понимание принципов работы с хранилищем и рабочими нагрузками с сохранением состояния: PV/PVC, StorageClass, CSI, репликация, резервное копирование, восстановление и аварийное восстановление; — Практическое понимание развертывания, настройки, подключения и устранения неполадок в сервисах с сохранением состояния, таких как Kafka, ClickHouse, Vault, Redis или аналогичных; — Умение работать с неполной информацией во время инцидентов, изолировать проблемную область, четко сообщать о статусе и доводить проблемы до решения. Желательно: — Опыт работы с сервисами Big Data, такими как Airflow, Spark, JupyterHub, Superset, Trino, Flink или аналогичными; — Опыт работы с решениями SDS, такими как Ceph, Longhorn, OpenEBS/Mayastor, Portworx или аналогичными; — Опыт работы с выделенными серверами, PXE, MaaS, MetalLB или аналогичными технологиями; — Опыт работы с HashiCorp Vault или другими решениями для управления секретами; — Опыт работы со стеками мониторинга, такими как Prometheus, Grafana, Loki, Tempo, Mimir, OpenTelemetry, ELK или OpenSearch; — Опыт работы в многопользовательских или многоклиентских средах; — Опыт работы с усилением безопасности, RBAC, сетевыми политиками, сканированием образов и безопасностью цепочки поставок. Условия: — Офисный формат работы в Сербии (г. Белград); — Помощь с релокацией в Сербию, оформление рабочей визы, а также помощь в оформлении документов для членов семьи; — Возможность развивать свои компетенции и применять знания на практике; — Возможность поработать на крупных проектах; — Компания заинтересована в развитии своих сотрудников: готовы привлекать наставников и оплачивать курсы для повышения квалификации; — Отсутствие бюрократии, быстрое согласование необходимых вещей; — Оплачиваемые лист нетрудоспособности (больничный лист) и отпускные; — Частичная компенсация английского или сербского языков (на выбор); — Компенсация спортзала; — 4 day-off в год за счет компании; — Компания поддерживает сотрудника в важные периоды жизни; — Годовой бонус по результатам работы; — Молодой коллектив, средний возраст в компании — 27 лет; — Большая высококвалифицированная команда, к которой всегда можно обратиться за помощью; — Реферальная программа за успешную рекомендацию.