Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Platform Safety builds the infrastructure that lets Anthropic bring its most capable models to more people, safely and securely. Our systems decide both who can access our most advanced models, and what capabilities they can access, wherever Claude is available. That includes identity and business verification, trusted access programs, and the core services that grant, hold and enforce model access across our products. These systems already power the Cyber Verification Program, which now includes Project Glasswing, and the Life Sciences Verification Program with further more advanced use cases in development.
As a Staff+ engineer, you'll help set the technical direction for this work. The foundations are live and adoption is growing quickly, so the next challenge is scale: making access a matter of configuration instead of code, making verification reusable, and giving customers a consistent experience on every surface. You'll work closely with safeguards, product, design and research to turn safety policy into systems that are easy to use and enforce. You'll also take new 0 → 1 efforts from idea to delivery as new capabilities and programs emerge.
What you'll do
You'll design, build and operate the systems that decide who gets access to our most capable models. You'll build the platform that lets teams across Anthropic launch and run trusted access programs, moving access rules out of code and into data so that launching a new model or complex program is simple and scalable. You'll build out our identity and business verification system (KYC/KYB) as a reusable service that any program can use, which means integrating verification vendors, protecting sensitive personal data, expanding into new regions, and building fair review and appeal paths for customers. You'll also evolve the core services behind every access decision, including the services that grant and hold access and the customer and user identity models they rely on, and keep them highly available and consistent across our own products and cloud platforms.
You'll shape the architecture through clear written proposals, review key designs, and mentor engineers on a growing team. You'll also share on-call, lead incident response, and support emerging new programs.
You might be a good fit if you:
Have a minimum of 8 years of practical experience as a backend or platform engineer, ideally at tech lead level or equivalent, and are comfortable working across the stack when the problem calls for it
Have strong product sense, and work closely with cross-functional partners, including non-engineers, to shape and execute strategy in new domains
Use AI tools as a regular part of how you design, build and review software
Have designed and operated production distributed systems on a critical path, where correctness, latency and availability all matter
Take full ownership of your work, from design through build, deployment, operations and iteration
Navigate ambiguity and make sound technical decisions independently, have set technical direction that other engineers and teams adopted, and have ideally operated in both 0 → 1 and more mature settings
Care about building robust, scalable systems that other engineers and businesses love to use
Care about the societal impacts of your work and Anthropic's mission to build safe, beneficial AI
Strong candidates may also have:
Identity, access control or authorization systems at scale
Fraud, risk, trust and safety, or KYC/KYB systems, including working with verification vendors
Regulated or compliance-sensitive environments, including handling sensitive personal data
Integrating with cloud platforms or partner ecosystems such as AWS, Google Cloud and Azure
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
Location Preference:
Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
San Francisco, CA | New York City, NY; Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team
Location: Israel
Workplace: Remote
ClickHouse is the open-source, real-time analytical database behind a lot of today's AI. More than 4,000 companies build on ClickHouse, including Anthropic, OpenAI, Tesla and Meta.
As a TAM Architect, you're the named technical lead for a small group of our largest customers. You carry the context of how they run ClickHouse, guide them from their first design decisions through production and growth, and make sure the rest of ClickHouse shows up for them when it matters. Your job is to keep them healthy, help them get more out of ClickHouse, and spot the next use case.
You'll work inside our Support organisation and own escalations for your accounts, working closely with our support engineers. The role is based in Israel, close to some of our biggest customers in EMEA.
Large enterprises are moving onto ClickHouse fast, and we're building out how we look after them. People joining now have a real say in how this role works.
WHAT YOU'LL DO
- Run a regular cadence with 4 to 8 strategic accounts (weekly, fortnightly or monthly, depending on the project), plus quarterly health checks and business reviews, on site where it helps
- Lead onboarding, where the decisions that are hardest to reverse get made: schema and data modelling, table engines, ingestion, migration and query design
- Once customers are live, keep performance and cost on track as they grow, and help them onto new use cases
- Work closely with Support: own escalations for your accounts, with regular case reviews and a direct line into L3 engineering
- Work with the right people for each piece of work: partner with Solutions Architects on new use cases and proof of concepts, and bring in Consulting Engineers for hands-on projects
- Write it down: documented setup and configuration, knowledge base articles and reference architectures that help other customers too
WHAT YOU'LL BRING
- 5+ years in a hands-on, customer-facing technical role after the sale, whether your title was TAM, solutions architect, professional services, senior support or something else
- Specialist depth in data modelling, query performance and integration on distributed or analytical databases
- Hands-on SQL. You regularly write complex queries from scratch, and tune and debug them yourself
- Experience owning a small book of high-touch enterprise accounts, where you know each customer's architecture in depth
- Hands-on cloud experience (AWS, GCP and/or Azure)
- You've run distributed systems, such as distributed databases, in production
- You explain technical trade-offs clearly, to engineers and to executives
- Fluent English and Hebrew
NICE TO HAVE
- Experience with ClickHouse, or with other analytical databases such as Snowflake, BigQuery, Redshift or Druid
- Involvement in open source, as a user, contributor or community member
- A working knowledge of Kubernetes
GOOD TO KNOW
- You'll be based in Israel. Travel to customer sites is part of the job, up to 35% of your time, within Israel and throughout EMEA
- You'll join our EMEA Support Services team, where Support Engineers, Consulting Engineers and TAM Architects work as one team
- You'll be part of the on-call rota, about one week a quarter, with time off in lieu if you're paged at a weekend
HOW WE HIRE
- A 30-minute call with our recruiter
- A conversation with the hiring manager
- A take-home exercise, designed to take four to five hours, with three working days to complete it
- A 90-minute technical interview with the team: you'll walk us through your take-home, then join a working session where you write and tune SQL live
- A final conversation with our VP of Support Services
- References, then an offer
The working session is without AI tools, so make sure you're comfortable writing queries from scratch. Download open-source ClickHouse and practise: it's free, easy to install, and great preparation.
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: Remote
We are the creators of a new fintech era!
Our mission is to change this world by making blockchain accessible to everyone in everyday life. WhiteBIT is a global team of over 1,200 professionals united by one mission — to shape the new world order in the Web3 era. Each of our employees is fully engaged in this transformative journey.
We work on our blockchain platform, providing maximum transparency and security for more than 8 million users worldwide. Our breakthrough solutions, incredible speed of adaptation to market challenges, and technological superiority are the strengths that take us beyond ordinary companies. Our official partners include the National Football Team of Ukraine, FC Barcelona, Lifecell, FACEIT and VISA.
The future of Web3 starts with you:
Requirements
4–6+ years of experience in Information Security, GRC, Risk Management, Compliance, IT Audit, or a related field.
Strong practical knowledge of information security and compliance frameworks such as ISO 27001, SOC 2, PCI DSS, CCSS or similar.
Experience working with applicable regulatory requirements such as NIS2, DORA, GDPR, or other relevant regulations.
Hands-on experience conducting information security risk assessments, control assessments, gap analyses, and compliance reviews.
Experience supporting or coordinating internal and external audits, certifications, and regulatory assessments.
Ability to independently manage compliance initiatives, track remediation activities, and follow up with control owners.
Experience developing, reviewing, and maintaining security policies, standards, procedures, controls, and related documentation.
Understanding of common information security domains, including access management, vulnerability management, incident management, third-party risk, business continuity, cloud security, and data protection.
Experience working with third-party/vendor risk assessments and security due diligence.
Experience responding to customer security questionnaires, RFIs/RFPs, or customer compliance requests.
Ability to translate regulatory, contractual, and security requirements into clear and actionable controls for technical and business teams.
Strong stakeholder management skills and experience collaborating with Security, IT, Engineering, Legal, Privacy, Procurement, and business teams.
Strong analytical skills and ability to identify, assess, document, and communicate security and compliance risks.
Excellent written and verbal communication skills, including the ability to explain GRC topics to both technical and non-technical stakeholders.
Strong organizational skills and ability to manage several compliance, risk, and audit activities in parallel.
Ability to work independently, prioritize effectively, and take ownership of GRC activities from identification through remediation and closure.
Professional working proficiency in English.
Nice to have:
Experience in SaaS, cloud-based, technology, or other highly regulated environments.
Experience with GRC platforms or compliance automation tools such as ServiceNow GRC, OneTrust, Vanta, Drata, AuditBoard, or similar.
Familiarity with cloud platforms such as AWS, Azure, or GCP from a governance and compliance perspective.
Relevant professional certifications such as CISA, CISM, CRISC, CISSP, ISO 27001 Lead Implementer, or ISO 27001 Lead Auditor.
Experience participating in or leading compliance improvement and control maturity initiatives.
Responsibilities
Own and coordinate day-to-day GRC activities across information security, risk management, compliance, and assurance.
Conduct information security risk assessments, identify control gaps, document risks, and track remediation actions with relevant owners.
Support the implementation, maintenance, and continuous improvement of security and compliance frameworks such as ISO 27001, SOC 2, PCI DSS, and other applicable standards.
Monitor relevant regulatory and contractual requirements and help translate them into practical security controls and compliance activities.
Coordinate and support internal and external audits, certification activities, customer assessments, and regulatory reviews.
Maintain and improve security policies, standards, procedures, control documentation, risk registers, and other GRC documentation.
Perform control assessments and periodically evaluate the effectiveness of implemented security controls.
Track audit findings, compliance gaps, risks, and remediation plans through to closure.
Support third-party and vendor security risk assessments, including due diligence and ongoing risk reviews.
Manage and respond to customer security questionnaires, security reviews, and compliance-related requests in collaboration with relevant teams.
Partner with Security, IT, Engineering, Legal, Privacy, Procurement, and business stakeholders to ensure security and compliance requirements are understood and implemented.
Provide guidance to control owners on compliance requirements, risk treatment, evidence collection, and remediation activities.
Identify opportunities to improve and automate GRC processes, evidence collection, reporting, and compliance monitoring.
Develop and maintain GRC metrics, dashboards, and reporting to provide visibility into risks, compliance status, audit findings, and remediation progress.
Support security awareness and compliance initiatives where relevant.
Stay informed about changes in security standards, regulations, and industry practices and assess their potential impact on the organization.
Working terms
Immerse yourself in Crypto & Web3:
Master cutting-edge technologies and become an expert in the most innovative industry.
Work with the Fintech of the Future:
Develop your skills in digital finance and shape the global market.
Take Your Professionalism to the Next Level:
Gain unique experience and be part of global transformations.
Drive Innovations:
Influence the industry and contribute to groundbreaking solutions.
Join a Strong Team:
Collaborate with top experts worldwide and grow alongside the best.
Work-Life Balance & Well-being:
Modern equipment.
Comfortable working conditions, and an inspiring environment to help you thrive.
24 calendar days of paid leave.
Additional days off for national holidays.
With us, you’ll dive into the world of unique blockchain technologies, reshape the crypto landscape, and become an innovator in your field. If you’re ready to take on challenges and join our dynamic team, apply now and start a new chapter in your career!
Let’s Build the Future Together!
WhiteBIT offers all candidates an equal opportunity to join the team. All hiring decisions are made without regard to race, national origin, gender identity or sexual orientation, age, religion, disability, medical condition, marital status, familial status, veteran status, or any other legally protected characteristic of an individual.
Your privacy matters to us. You can learn more about how we handle your personal data with regard to your application in our
Candidate Privacy Notice
.
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: Remote - Japan - APAC
Who We Are:
Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure
for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more.
Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts.
Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.
Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator.
Our Team Members:
We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!
We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.
Role
As a Senior DevOps Engineer you will design, build and operate the platforms behind software delivery, edge and L7 networking, platform access, and the application-facing parts of our observability stack. Alpaca is expanding fast and our needs grow with it, so we run a follow-the-sun model that keeps those systems covered around the clock. This role is the team's presence in its own region: supporting and owning that platform in your timezone.
While we are not looking for a specialist in a single tool, deep expertise in one of the tools we use alongside a broad skillset would be an advantage. What we care about most is judgement: thinking in terms of delivery and the request path, understanding business priorities and the pressure that comes with fast growth, and carrying a piece of work across quarters to a high standard without needing supervision. The engineers who do well here choose the simple solution over the easy one, even when the simple one takes longer to find.
Things You Get To Do
Help the engineers who build on our platform
: troubleshoot problems across the stack, advise teams on how to use what we run, and take your share of the support rotation during your region's hours.
Participate
in our Follow-The-Sun on-call model: watch and triage alerts, join and declare incidents, lead structured debugging and escalation, and drive blameless post-mortems and the post-actions that actually close the loop.
Own the path a change takes to production
- GitHub Actions into Argo CD, with Helm underneath - and the release tooling that has to work across multiple clusters and regions.
Run high-traffic edge and API gateway infrastructure
serving hundreds of millions of requests a day globally, where performance, availability and safe change all matter at once.
Operates the internal tooling the rest of engineering depends on
- Grafana, Sentry, Teleport, Metabase, Atlantis and others - as production services with real users rather than one-off installations.
Advance
Platform-as-a-Product: build self-serve capabilities and paved paths so engineers can get what they need through a golden path rather than a hand-off, measured by how quickly and safely the rest of engineering can ship.
Take improvement projects end to end
, from a problem nobody has framed yet through to something running in production that other teams rely on.
Who You Are (Must-Haves)
5+ years in a DevOps, Platform/Infrastructure, or SRE role, with a proven track record operating large-scale, high-availability, high-performance systems in production.
A track record of carrying multi-quarter platform work end to end in a complex environment running multiple Kubernetes clusters.
Deep production Kubernetes experience across multiple clusters - upgrades, debugging and day-to-day operational ownership - including packaging and deploying workloads with Helm.
Strong Infrastructure-as-Code skills with Terraform, structuring codebases across multiple environments, with GitOps as a first principle and least-privilege as a default mindset.
Proven experience building and owning CI/CD pipelines at scale, for example with GitHub Actions, including releases that deploy to multiple production locations rather than only promoting through environments.
GitOps continuous delivery with Argo CD, or a comparable tool you can transfer from.
Working production experience on Google Cloud, ideally GKE. You do not need to have designed landing zones or cloud topology, but you should be fluent operating on GCP day to day.
Solid L7 networking fundamentals - load balancing, DNS, TLS and HTTP routing - and comfort debugging the request path from edge to workload.
A Platform-as-a-Product mindset, treating what the team runs as products with real users rather than internal installations.
Able and willing to take part in a Follow-The-Sun on-call rotation from APAC or EMEA hours, and to work effectively in a distributed, async-first team with strong written communication.
Who You Might Be (Bonus Points)
You can succeed in this role without all of the below, but any of these will help you ramp faster:
Policy-as-code and IaC quality tooling (OPA/Conftest, Checkov, tflint, Atlantis, or similar).
Experience managing Terraform state, module registries and versioning at scale across many teams.
Running secret management at scale (HashiCorp Vault, OpenBao, or similar) as a service other teams depend on.
Internal PKI and certificate lifecycle management (private CAs, issuance and rotation, mTLS between services).
Experience building self-serve developer platforms and internal golden paths (e.g. with Backstage, Tilt, or similar).
Production experience on Azure alongside GCP.
Working proficiency in Go for automation and tooling.
Strong Linux (Debian/Ubuntu) and container (Docker/containerd) fundamentals.
Security and compliance experience in a regulated environment (SOC 2, audit logging).
Familiarity with trading, brokerage, or other regulated fintech domains.
How We Take Care of You:
Competitive Salary & Stock Options
Health Benefits
New Hire Home-Office Setup: One-time USD $500
Monthly Stipend: USD $150 per month via a Brex Card
Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.
Recruitment Privacy Policy
Location: Warsaw
We're looking for a Senior Platform Reliability Engineer who brings strong software engineering skills and a deep understanding of system behavior under load and stress. This role is a good fit for someone who wants to own reliability as a first-class concern – building the foundational systems that protect Asana's platform, not just responding when things go wrong.
You'll build core platform systems like load shedding, rate limiting, circuit breakers, and traffic controls that protect Asana under real-world load. This is deep, cross-cutting work that shapes stability and performance of our entire infrastructure – and you'll partner closely with other platform teams to make reliability something that's built in, not bolted on.
Our tech stack includes: AWS, Kubernetes (EKS), CloudFront, Istio, Cilium, MySQL (RDS), OpenSearch, DynamoDB, Redis, Terraform, Datadog, TypeScript, Scala, Go, and Python. (Yeah, we know this sounds like buzzword bingo – but we want this post to actually show up in your searches.)
Why this role?
Reliability as a first-class feature
: You won't be patching things up after the fact. You'll build the systems that make Asana resilient by design.
Foundational work
: Load shedding, traffic management, ingress/egress – these are the building blocks that protect everything else. You'll own them.
Strong collaboration, reasonable hours
: You'll work closely with infrastructure teams in Warsaw and Reykjavik, making deep collaboration practical without constant timezone gymnastics.
Room to grow
: This is a new team, and you'll help shape what Platform Reliability Engineering looks like at Asana – whether that means leading projects, mentoring others, or defining our technical direction.
In this role, success means shipping systems that other teams rely on by default – because they make the platform safer, not because they're mandatory.
We're especially interested in people who think like backend engineers but obsess over failure modes, capacity planning, and building systems that degrade gracefully under pressure.
This role is based in our Warsaw office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements.
We offer a Contract of Employment (UoP) for our employees in Poland.
What you'll achieve:
Design and build core platform systems – load shedding, circuit breakers, rate limiting – that protect Asana at scale.
Own critical platform concerns like ingress and egress, shaping how traffic flows through our systems.
Define stable interfaces and libraries that other platform teams build on.
Lead end-to-end projects, from scoping and design through to rollout, working across multiple platform teams.
Partner with other infrastructure teams to embed reliability into Asana's architecture – not as an afterthought, but as a core design constraint.
Debug hard problems across the stack. When something breaks in a way that matters, you'll be the person who figures out why and makes sure it doesn't happen again.
Share knowledge through code reviews, design discussions, and mentorship.
About you:
Strong software engineering background – you're comfortable writing production code and designing systems. We use Go, Python, Scala, and TypeScript, but we care more about engineering fundamentals than specific language experience.
5+ years of experience building and operating backend systems at scale.
Familiarity with distributed systems patterns – you've thought about things like backpressure, graceful degradation, and capacity planning.
Experience with major cloud platforms (AWS, GCP, or Azure), Terraform, and monitoring tooling like Datadog or similar.
Experience defining and working within explicit reliability and performance targets for production systems.
Clear communicator and strong collaborator – you're comfortable navigating trade-offs with other platform and infrastructure teams.
Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making
At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply.
Important: This is a software engineering role. If your background is primarily scripting, dashboards, or operational playbooks, this likely isn't a fit.
What we offer
Generous, transparent and fair compensation system (base salary and generous Restricted Stock Unit for Asana Inc.)
Contract of Employment (
with
50% tax deductible costs for author’s rights usage for Engineers)
Health insurance with dental and travel coverage (Lux Med)
Lunch catering on the days that you work from the office
Career growth budget
Home office setup budget
Gym/Fitness card
Fertility healthcare and family-forming support with
Carrot
Mental health support in Modern Health
Group life insurance
Holiday allowance
MacBooks with all necessary accessories
For this role, the estimated base salary range is between
31,000 - 36,000
PLN gross monthly on the contract of employment (UoP). The actual base salary will vary based on various factors and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base compensation range for this role may be modified.
Our total compensation consists of base salary and equity (RSUs).
#LI-Hybrid #LI-KM2
About us
Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong.
We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to 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 law.
Join Asana’s Talent Network
to stay up to date on job opportunities and life at Asana.
Задачи:
— Реализация, операционная поддержка и внедрение инноваций в рамках гибридного облака (Private/Public Cloud, PaaS, Private AI platform).
— Администрирование приватного облака и AI-платформы (MLOps, GPU-инфраструктура).
— Поддержка PaaS (контейнеризация, Drupal, Moodle, Redis, MySQL).
— Оптимизация публичных облаков.
— Автоматизация процессов (DevOps, IaC, CI/CD).
— Мониторинг.
— Участие в дежурствах 24/7 (включая выходные и праздничные дни по графику).
Требования:
— Магистр (без опыта) или бакалавр с опытом от 2 лет в сфере DevOps, облачного инжиниринга или управления платформами/инфраструктурой.
— Опыт работы с AI/ML-платформами с открытым исходным кодом (vLLM, RAG DB) и локальной GPU-инфраструктурой.
— Опыт управления Private Cloud на базе Open-Source систем (Proxmox/KVM).
— Опыт с IaC, CI/CD и мониторингом.
— Опыт работы в ООН, с публичными облаками (AWS, Azure, GCP) и сертификации (Azure/AWS/GCP, Terraform) будут преимуществом.
Условия:
— Гибридный формат работы во Валенсии, Испания.
Языки:
— Английский — свободный.
— Знание других официальных языков ООН будет плюсом.
We are seeking an established consulting leader—a current Big Four Director, Managing Director, or Partner-track Senior Manager—to spearhead our highest-stakes Oil & Gas engagements. In this executive-level role, you will serve as the principal strategic architect for our most valuable Upstream, Midstream, Downstream, and LNG accounts globally.
Location: Germany
Workplace: Remote
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Why This Role?
We're seeking an experienced Program Manager to join Cohere's customer-facing Program Management team, with a focus on public sector and defence accounts in Europe, particularly in Germany. This is a highly specialised role requiring an individual who understands technical program delivery, the technical complexity of frontier AI models and the unique requirements of government and defence organisations.
You will be the critical bridge between our cutting-edge AI capabilities and the specific needs of Ministries, Agencies, and defence organisations across Europe. You'll navigate complex procurement processes, stringent security requirements, data sovereignty concerns, and regulatory compliance while ensuring our customers successfully deploy and scale our AI solutions.
In this role, you'll collaborate with our Strategic Customer team, Applied ML (AML) Engineering, Forward Deployed Engineering (FDE), Platform, Product, and Go-to-Market teams, serving as the technical program lead and trusted advisor for our most sensitive and high-impact government and defence engagements.
Location: Germany
Eligibility: This individual must be a German citizen living in Germany and fluent in German, enabling immediate engagement with critical defense and national security customers.
Security Clearance: German security clearance is not required, but is a strong nice-to-have.
What You'll Do
Customer Program Leadership:
- Own end-to-end technical program delivery for Germany and broader European public sector and defence customers, from initial deployment through production scaling
- Serve as the primary technical program point of contact for customers, building trusted relationships with departmental CIOs, IT directors, and technical teams
- Translate complex public sector and defence requirements (security, compliance, accessibility, bilingualism, data sovereignty) into actionable engineering plans
- Navigate complex procurement processes, RFP responses, and contractual technical obligations.
Strategic Communication:
- Provide clear, timely, and objective communication across Cohere's engineering organisation, customer stakeholders, pubic sector and defence leadership
- Translate between AI/ML technical concepts and government-appropriate language for decision-makers who may not have deep technical backgrounds
- Present technical roadmaps and status updates to senior stakeholders including departmental executives
- Represent Cohere's technical capabilities in sensitive government and defence contexts.
Complex Program Management:
- Create and manage project schedules that account for public sector and defence timelines, security review processes, and approval cycles
- Identify and manage dependencies across government departments, security authorities, cloud service providers, and internal Cohere teams
- Navigate risks unique to government and defence deployments: privacy compliance, security, political and regulatory, technology and infrastructure.
- Drive alignment between product development priorities and specific customer requirements.
Technical Delivery & Execution:
- Ensure on-time delivery of AI solutions that meet security, privacy, accessibility, and performance standards
- Coordinate technical work across multiple teams: model customisation, security hardening, integration with government systems, bilingual support
- Establish governance checkpoints appropriate for high-stakes government and defence deployments
- Problem-solve complex technical challenges in air-gapped, on-premises, or highly regulated environments.
You May Be a Good Fit If:
Required Experience:
- 6+ years of experience as a customer-facing Technical or Engineering Program Manager in AI/ML consulting, technology transformation, or enterprise software delivery.
- Excellent executive communication and stakeholder management.
- Experience working with government, defence, or heavily regulated customers.
- Proven track record managing complex, multi-stakeholder technical programs with stringent compliance requirements.
- Bachelor’s degree in a relevant field; advanced degree or technical certs a plus.
Technical Background:
- Strong understanding of enterprise software deployment architectures (cloud, on-premises, hybrid, air-gapped)
- Working knowledge of or experience with modern AI: LLMs, agentic systems, MCP, RAG, fine-tuning, evals, and responsible AI would be a strong differentiator
- Comfortable discussing API integrations, model inference, data pipelines, and ML operations with technical stakeholders.
Government & Defence Acumen:
- Deep understanding of how government and defence organisations procure, evaluate, and deploy technology
- Familiarity with European government requirements: data sovereignty, privacy laws (Privacy Act), accessibility standards, official languages obligations, security classifications
- Understanding of defence and national security considerations in AI deployment
- Experience with Algorithmic Impact Assessments or AI ethics frameworks is a strong asset
- Eligible to obtain a German security clearance
Nice to Have:
- Active German security clearance
- Bilingual (English/German) proficiency
- Background in or strong familiarity with European defence, intelligence, or critical infrastructure sectors
- Experience with GC Cloud services (Azure, AWS GovCloud) or Protected B/C environments
- Project management certification (PMP, PgMP) or government-specific methodologies.
Security Clearance Requirements
This role strongly prefers eligibility for German government security clearance.
We are looking for candidates eligible for German government clearance, meaning that they require German citizenship. In addition, this individual is required to be based in Germany and be fluent in German as this will enable immediate engagement with critical defence and national security customers.
What Makes This Role Unique
This isn't typical program management - it's a highly specialised role at the intersection of frontier AI, national security, and public sector digital transformation. You'll work on some of Canada's most sensitive and impactful AI deployments, helping government organisations harness cutting-edge technology while maintaining the highest standards of security, ethics, and accountability.
If you're passionate about responsible AI adoption, understand the unique constraints and opportunities within government, and want to have an outsized impact on how Canada leverages AI to serve its citizens, this role is for you.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: Colombia
You
Are passionate about technology, wake up every morning to experiment, learn and develop new solutions!
About Us
At DBSync we provide the opportunity to use technology that creates innovative and next generation data integration products which helps our employees to cultivate their creativity and sense of belonging. DBSync is a leading provider for data integration and Data warehousing services for both cloud/SAAS-based-on-demand applications. We were incubated by Salesforce.com (as a part of Avankia), before getting spinned off as a separate company. DBSync provides data integration as a SAAS-based, Standalone or hosted integration at a competitive price with a plethora of benefits for business users.
Our mission is to provide a strong foundation for businesses in solving complex problems and automating their workflows while acting as a pillar of support for all their data integrations needs. At DBSync we encourage innovation and creativity and our team is diverse comprising of a nice mix of cultural blends. We are a family where each talent is recognised and honed for the best of the individual and the company as a whole. We maintain a very professional, learn and excel vision with a hint of a start-up-like environment making each individual feel important and responsible with an equal opportunity to grow to the sky’s limit!
If you have a spirit of enthusiasm to grow beyond horizons, a determination to work hard, confidence to achieve success and influence future visions and products and be a successful part of the next gen trend, DBSync is the place for you!
Our Value System
1. We genuinely care
2. We do not waste time on manual or mundane task
3. We have a fun environment
4. We own it
5. We are experts on what we do
6. We win together
DBSync has been:
We have been rated 4.7 / 5 on G2. We have got around 125 reviews in 2023.
Based on the reviews G2 has awarded DBSync following badges.
Best Relationship– Winter 2024
Leader Americas Winter 2024
Best Results – Winter 2024
Best Usability – Winter 2024
About the Role:
DBSYNC is seeking an experienced Senior Support Engineer to provide technical support for its Cloud Replication software and manage enterprise customers across the USA. The ideal candidate will have 5+ years of experience in enterprise technical support, databases, CRM/ERP integrations, and cloud and on-premises environments, with the ability to troubleshoot complex issues and deliver excellent customer service while working US Central Time business hours.
Job Responsibilities:
Provide L2/L3 technical support for DBSYNC Cloud Replication and enterprise data integration solutions.
Manage enterprise customer relationships, troubleshoot technical issues, and ensure timely resolution of support cases.
Diagnose and resolve database connectivity, data synchronization, replication failures, performance, and integration issues.
Support databases, CRM platforms, ERP applications, and related enterprise systems.
Troubleshoot deployments across cloud-hosted, self-hosted, and on-premises environments.
Collaborate with engineering, product, and implementation teams to resolve complex technical issues.
Monitor replication jobs, logs, data flows, and system performance to identify root causes.
Maintain technical documentation, knowledge-base articles, and customer-facing troubleshooting guides.
Proactively communicate incident updates, resolution plans, and recommendations to enterprise clients.
Work with US-based customers during 8:00 AM–5:00 PM US Central Time.
Coordinating with internal teams as needed.
Skills and Qualifications:
5+ years of experience in technical support, software support, enterprise applications, or data integration.
Strong hands-on knowledge of SQL, relational databases, database connectivity, and troubleshooting.
Experience with CRM and ERP systems such as Salesforce, Microsoft Dynamics 365, Microsoft Dynamics 365 Business Central, or similar platforms.
Understanding of data replication, synchronization, ETL/ELT, APIs, and integration concepts.
Practical knowledge of cloud hosting platforms and on-premises infrastructure.
Experience managing enterprise customers, escalations, SLAs, and critical production issues.
Excellent communication, analytical, problem-solving, and customer management skills.
Ability to work independently from India while supporting US enterprise customers during US Central Time business hours.
Preferred qualifications
Experience with SQL Server, PostgreSQL, MySQL, Oracle, or other relational databases.
Familiarity with AWS, Microsoft Azure, or other cloud infrastructure.
Knowledge of REST APIs, authentication, networking, firewalls, and connectivity troubleshooting.
Experience with monitoring, incident management, ticketing systems, and remote troubleshooting.
Previous experience supporting SaaS products or enterprise data replication solutions.
Job Location:
LATAM (Remote)
Work Shift:
U.S Shift (8 AM CST to 5 PM CST)
Location: Bengaluru, India
You
Are passionate about technology, wake up every morning to experiment, learn and develop new solutions!
About Us
At DBSync we provide the opportunity to use technology that creates innovative and next generation data integration products which helps our employees to cultivate their creativity and sense of belonging. DBSync is a leading provider for data integration and Data warehousing services for both cloud/SAAS-based-on-demand applications. We were incubated by Salesforce.com (as a part of Avankia), before getting spinned off as a separate company. DBSync provides data integration as a SAAS-based, Standalone or hosted integration at a competitive price with a plethora of benefits for business users.
Our mission is to provide a strong foundation for businesses in solving complex problems and automating their workflows while acting as a pillar of support for all their data integrations needs. At DBSync we encourage innovation and creativity and our team is diverse comprising of a nice mix of cultural blends. We are a family where each talent is recognised and honed for the best of the individual and the company as a whole. We maintain a very professional, learn and excel vision with a hint of a start-up-like environment making each individual feel important and responsible with an equal opportunity to grow to the sky’s limit!
If you have a spirit of enthusiasm to grow beyond horizons, a determination to work hard, confidence to achieve success and influence future visions and products and be a successful part of the next gen trend, DBSync is the place for you!
Our Value System
1. We genuinely care
2. We do not waste time on manual or mundane task
3. We have a fun environment
4. We own it
5. We are experts on what we do
6. We win together
DBSync has been:
We have been rated 4.7 / 5 on G2. We have got around 125 reviews in 2023.
Based on the reviews G2 has awarded DBSync following badges.
Best Relationship– Winter 2024
Leader Americas Winter 2024
Best Results – Winter 2024
Best Usability – Winter 2024
About the Role:
DBSYNC is seeking an experienced Senior Support Engineer to provide technical support for its Cloud Replication software and manage enterprise customers across the USA. The ideal candidate will have 5+ years of experience in enterprise technical support, databases, CRM/ERP integrations, and cloud and on-premises environments, with the ability to troubleshoot complex issues and deliver excellent customer service while working US Central Time business hours.
Job Responsibilities:
Provide L2/L3 technical support for DBSYNC Cloud Replication and enterprise data integration solutions.
Manage enterprise customer relationships, troubleshoot technical issues, and ensure timely resolution of support cases.
Diagnose and resolve database connectivity, data synchronization, replication failures, performance, and integration issues.
Support databases, CRM platforms, ERP applications, and related enterprise systems.
Troubleshoot deployments across cloud-hosted, self-hosted, and on-premises environments.
Collaborate with engineering, product, and implementation teams to resolve complex technical issues.
Monitor replication jobs, logs, data flows, and system performance to identify root causes.
Maintain technical documentation, knowledge-base articles, and customer-facing troubleshooting guides.
Proactively communicate incident updates, resolution plans, and recommendations to enterprise clients.
Work with US-based customers during 8:00 AM–5:00 PM US Central Time.
Coordinating with internal teams as needed.
Skills and Qualifications:
5+ years of experience in technical support, software support, enterprise applications, or data integration.
Strong hands-on knowledge of SQL, relational databases, database connectivity, and troubleshooting.
Experience with CRM and ERP systems such as Salesforce, Microsoft Dynamics 365, Microsoft Dynamics 365 Business Central, or similar platforms.
Understanding of data replication, synchronization, ETL/ELT, APIs, and integration concepts.
Practical knowledge of cloud hosting platforms and on-premises infrastructure.
Experience managing enterprise customers, escalations, SLAs, and critical production issues.
Excellent communication, analytical, problem-solving, and customer management skills.
Ability to work independently from India while supporting US enterprise customers during US Central Time business hours.
Preferred qualifications
Experience with SQL Server, PostgreSQL, MySQL, Oracle, or other relational databases.
Familiarity with AWS, Microsoft Azure, or other cloud infrastructure.
Knowledge of REST APIs, authentication, networking, firewalls, and connectivity troubleshooting.
Experience with monitoring, incident management, ticketing systems, and remote troubleshooting.
Previous experience supporting SaaS products or enterprise data replication solutions.
Job Location:
Bangalore (Remote)
Work Shift:
U.S Shift (6:30 PM IST to 3:30 AM IST)
Location: Denver; Los Angeles
Workplace: Remote
THE ROLE
We're hiring our first Regional Vice President for the Southwest. The territory runs from the Rockies (Colorado and Utah) through Arizona and the desert Southwest to Southern California. It covers some of the fastest-growing tech corridors in the country, plus a dense base of digital-native, media, gaming, and AI companies that already run on real-time data. You'll report to Mike Hayes and build the region from the first hire: set the strategy, recruit the team, and turn a widely spread, high-potential territory into one of the strongest regions in the Americas. This is a builder's seat with a clear path to grow with the business.
WHAT YOU'LL DO
- Design a multi-hub region. Build a coverage model across hubs that are very different from one another, including Los Angeles, Orange County, San Diego, Denver/Boulder, Salt Lake City/Lehi, and Phoenix. Decide where to place reps first and how to sequence growth.
- Hire the founding team. Recruit Enterprise AEs who can sell to engineering buyers as peers: technical, commercially hungry, and able to work on their own across a large geography.
- Own the number and the forecast. Carry the regional quota, run a weekly operating rhythm, and deliver a forecast your leadership can rely on, backed by MEDDPICC-style deal qualification.
- Win where real-time data is the product. Land and expand with digital-native and AI-native companies, media and entertainment, gaming, adtech, consumer internet, and fintech, where performance and cost at scale decide the deal.
- Turn adoption into enterprise agreements. Work with our product-led growth motion to find ClickHouse Cloud and open-source users ready for a committed relationship, then expand across teams and use cases (analytics, observability, and AI workloads).
- Lead from inside the deal. Coach reps through technical evaluations, POCs, procurement, and executive negotiations. Join the calls that matter.
- Orchestrate the extended team. Partner closely with Solutions Architects, Marketing, Partners/Alliances, and cloud marketplace teams to build pipeline and run cohesive account strategies.
- Build ClickHouse's brand across the region. Show up in the local developer, data, and startup communities, from Denver and Salt Lake to LA and San Diego, through events, meetups, and executive programs.
WHAT YOU BRING
- 10+ years of enterprise software sales in data infrastructure, databases, analytics, observability, or cloud, with a strong record as a quota-carrying seller.
- 5+ years leading enterprise sales teams as a first- or second-line leader, with attainment you can back up with specifics.
- Experience building or rebuilding a region from an early stage, ideally one spread across several metros, where you set coverage, hired the first reps, and grew the business.
- A strong network across the Rockies, the Southwest, and/or Southern California, both for hiring standout AEs and for reaching enterprise buyers.
- Rigorous pipeline management, deal qualification (MEDDPICC or similar), and forecast accuracy.
- Technical credibility with engineering-led buyers. You understand the modern data stack and can hold your own in architecture conversations.
- Experience with consumption-based pricing, open-source, or product-led growth models.
- The ClickHouse DNA: integrity, hunger, and accountability. You're curious, serious about the craft, and want to build rather than inherit.
NICE TO HAVE
- Experience selling to digital-native, AI-native, media/entertainment, or gaming companies.
- A background in real-time analytics, OLAP and columnar databases, observability, or AI/LLM infrastructure.
- Experience as an early leader at a high-growth data or infrastructure company through a period of fast scaling.
- Co-selling with AWS, GCP, or Azure, and transacting through cloud marketplaces.
- Experience leading a distributed team across several states and time zones.
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: Atlanta; Charlotte
Workplace: Remote
THE ROLE
We're hiring our first Regional Vice President for the Southeast. You'll be the founding sales leader for the region. You'll hire and lead a team of Enterprise AEs, set the operating standard, and turn a strong base of developer adoption and ClickHouse Cloud sign-ups into a durable enterprise business. If you've been an early leader in a region before and want to do it again with a technically differentiated product, this role is for you.
WHAT YOU'LL DO
- Build the region from the ground up. Own the Southeast territory plan, including which accounts, verticals, and metros to prioritize first, and where to place each new rep.
- Recruit and close top-tier AEs. Use your regional network to hire a team of Enterprise AEs and keep growing it. Hire for technical curiosity, a proven record against a number, and high integrity.
- Own the number. Carry the regional quota and forecast it accurately every week, month, and quarter. Run rigorous pipeline and deal reviews using a MEDDPICC-style qualification standard.
- Land and expand enterprise accounts. Convert existing ClickHouse Cloud and open-source usage into committed enterprise agreements, then grow them as new use cases emerge. The Southeast's enterprise base spans financial services, payments, healthcare, logistics, retail, and media.
- Get into deals. Join executive meetings, pressure-test deal strategy, and help reps through complex, multi-stakeholder sales cycles involving technical buyers, procurement, and security review.
- Run a tight team with Solutions Architects. Work hand in hand with SAs and SEs so every opportunity is technically sound and every customer is set up to grow.
- Work the full GTM machine. Partner with Marketing, Partners/Alliances (including cloud marketplaces), and our product-led growth motion to build pipeline and pick up self-serve accounts ready for a sales-assisted conversation.
- Be ClickHouse's face in the Southeast. Build our presence with customers, partners, and the local data and developer community through executive events, meetups, and field programs.
WHAT YOU BRING
- 10+ years of enterprise software sales in data infrastructure, databases, analytics, observability, or cloud, including a strong record as a quota-carrying seller.
- 5+ years leading enterprise sales teams as a first- or second-line leader, with consistent attainment you can walk us through number by number.
- A record of building a region or team from an early stage: hiring the first reps, defining territories, and growing a new geography into a predictable business.
- A deep Southeast network of enterprise AEs, customers, and partners, and a reputation that makes strong sellers want to work for you.
- Forecasting and qualification discipline (MEDDPICC or similar). You know the difference between a commit and a hope, and your leadership can trust your call.
- Technical fluency. You can talk architecture with data engineers and CTOs, and you can tell when a deal is stalling for technical reasons and when it's commercial.
- Experience with consumption-based or usage-based pricing models, and an understanding that in a consumption business the signed deal is where the revenue starts.
- The ClickHouse DNA: integrity, hunger, and accountability. You're curious, serious about the craft, and happy to roll up your sleeves.
NICE TO HAVE
- Experience as an early sales leader or early seller in the Southeast at a high-growth data or infrastructure company.
- Background selling open-source or developer-led products alongside a product-led growth funnel.
- Familiarity with real-time analytics, OLAP and columnar databases, observability, or AI/LLM workloads.
- Established relationships with data and technology leaders at major Southeast enterprises.
- Experience co-selling with AWS, GCP, or Azure and transacting through cloud marketplaces.
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.
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