Location: Kundl, Austria
D-ploy is a company specializing in IT and Engineering Solutions, with projects worldwide, including in Switzerland, Germany, the Czech Republic, Austria, the United Kingdom, and the United States.
We are proud to provide outstanding and innovative services to numerous industry-leading clients. By building strong relationships and trusted partnerships within the IT community, we optimize our clients' IT productivity and contribute to their business success and core values.
We are looking for dedicated, flexible, and solution-oriented individuals who would like to work on-site in Kundl and become part of a dynamic, rapidly growing, and international organization.
The candidate will be responsible for the end-to-end physical deployment and logical validation of network infrastructure. You will be expected to diagnose issues across Layers 1, 2, and 3 of the OSI model, ensuring that physical connectivity aligns with logical configurations.
Responsibilites
Advanced Device Racking & Mounting
Precision Placement:
Interpret and execute Rack Elevation Diagrams (REDs) to mount high-density chassis (Cisco Nexus 9k, Catalyst 9500) and 1U/2U appliances.
Mechanical Safety:
Ensure proper use of rack rails, cage nuts, and stabilization kits. Manage weight distribution to maintain rack integrity.
Power Sequencing:
Connect dual-homed power supplies to diverse PDU sources (A+B feeds) and perform "pull tests" to verify seating.
Structured Cabling & Fiber Management
Fiber Optics:
Expert-level handling of Single Mode (SMF) and Multi-Mode (MMF) fiber. Proficiency in cleaning connectors (IBC cleaners) and inspecting end-faces with fiber scopes.
SFP/Transceiver Management:
Correctly identify and install SFP, SFP+, QSFP+, and QSFP28 modules. Troubleshoot "link down" issues by verifying wavelength compatibility (e.g., 850nm vs 1310nm) and light levels.
Patching & Labeling:
Execute high-density patching in accordance with ANSI/TIA-606-B standards. Ensure every cable is labeled at both ends with Near-End/Far-End information.
Patch Panels & Cross-Connects
Circuit Extensions:
Coordinate with Telco providers to extend circuits from the Meet-Me-Room (MMR) to the local rack via cross-connects.
Patch Panel Termination:
Manage copper (RJ45) and fiber (LC/SC/MPO) patch panels. Perform "light-checks" using Visual Fault Locators (VFL) to trace paths through multiple patches.
Media Conversion:
Deploy and troubleshoot media converters or transceivers when transitioning between different physical media types.
Remote Management & Console Access
Out-of-Band (OOB) Setup:
Configure and cable Terminal Servers (e.g., Opengear, Lantronix, or Cisco ISR) to provide permanent remote console access to all managed devices.
Serial Connectivity:
Troubleshoot baud rate mismatches, roll-over cables, and DB9-to-RJ45 adapters to ensure the NOC has a reliable "backdoor" during outages.
Local Support:
Be prepared to connect locally via laptop and serial-to-USB adapters to provide a "live stream" of boot sequences or BIOS-level troubleshooting.
Advanced Routing & Switching Knowledge
L1 Fundamentals : Strong working knowledge in ethernet , Gigabit Ethernet, Serial , fiber cabling, transceivers (Arista, Cisco SFP+, QSFP+), SFP, PIC, NIM, HA ports, power supplies, patching and troubleshooting, with knowledge of DWDM and experience in handling 10/20/40 Gig Fiber links
L2 Fundamentals:
Configure and troubleshoot
VLANs, VTP, and Spanning Tree Protocol (STP), Port mirroring, packet captures
. Must understand how to identify and resolve broadcast storms or physical loops at the rack level.
L3 Fundamentals:
Assist in the bring-up of
Layer 3 interfaces (SVIs and Routed Ports)
. Basic knowledge of prefix lengths and IP addressing to verify gateway connectivity.
Protocol Verification:
Use CLI commands to verify
BGP and OSPF neighbor adjacencies
after physical circuit hand-offs or cross-connect installations.
EtherChannel/LACP:
Provision and troubleshoot Link Aggregation Groups (LAGs). Ensure that physical cabling matches the logical member-port configuration on the switch.
Requirements
Experience:
6–8 years in a Data Center or large Enterprise campus environment.
Ethernet, Fiber cabling, Hardware :
Experience in installation of ethernet, fiber cabling on Cisco, Arista and Palo Alto, F5 load balancers and its associated components like SFP, PIC, NIM, DPC
Routing and Switching:
Ability to navigate Cisco IOS, NX-OS, PAN OS or Arista EOS to perform show commands and basic interface configurations.
Tools:
Proficiency with Visual Fault Locators (VFL), Light Meters, and Fiber Inspection Scopes.
Certifications:
CCNA or equivalent is mandatory
; CCNP Enterprise (ENCORE) is highly preferred to demonstrate routing and switching proficiency.
Experience in handling mission critical network incidents/problems in Enterprise network Large campus networks and Data center, is preferred.
Fluency in English and German (C1)
Candidates must be able to present a Criminal Record (not older than 3 months).
Benefits
A wide range of activities, responsibilities, and projects
Vouchers and gifts (birthday voucher, wedding gift, and newborn baby surprise)
Fishing for Friends Program
– our employee referral program
Opportunities for professional development and career advancement
A friendly and international working environment
Company-sponsored events
Compensation is provided in accordance with the Austrian IT Collective Agreement. Depending on qualifications and professional experience, there is a willingness to offer a salary above the collective agreement level.
Is
IT
in your DNA?
Join us and help deliver
IT
where it counts.
Location: Remote: United States; Remote: Canada
Workplace: Remote
At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure.
Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users.
Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development.
We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you.
APPLYING TO RENDER
We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team.
We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed.
Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time.
ABOUT THE ROLE
As a Software Engineer on Developer Velocity, you'll design and build the internal platform, tooling, and automation that lets every Render engineer move quickly and safely. You'll drive changes in our local development environments, CI/CD pipelines, test infrastructure, and the metrics we use to understand and improve how we ship. You'll work across the entire engineering org, identify where friction lives, and remove it, measurably.
WHAT YOU'LL DO
- Improve speed and reliability of early change feedback
- Invest in build and dependency tooling, caching, incremental builds, and monorepo ergonomics, to keep iteration tight as the codebase grows.
- Accelerate our CI/CD pipelines - cutting build, test, and deploy times while keeping the path to production safe and reversible.
- Make our test suites fast and trustworthy: parallelization, smart test selection, flaky-test detection, and better local/preview environments built on the same primitives our customers use.
- Design and build tools to support concurrent agent execution
- Make test feedback fast enough to live inside an agent's loop, where slow or flaky runs compound across every attempt.
- Get agents the right context (codebase conventions, service ownership, recent changes, environment state) so their first attempt lands closer to correct.
- Simplify and establish repeatable patterns
- Reduce toil through automation, paving over repetitive workflows and manual steps wherever they slow people down.
- Instrument the engineering org with meaningful signals (deployment frequency, lead time for changes, change failure rate, time to restore) and turn them into action.
- Build and participate in an on-call rotation as the team takes ownership of critical systems.
WHAT WE'RE LOOKING FOR
- Experience building and operating developer-facing tooling, CI/CD systems, or internal platforms that other engineers depend on every day.
- Experience driving cultural and process changes to make engineering teams more effective.
- Strong software engineering fundamentals and a track record of shipping, maintaining, and debugging production systems.
- Proficiency in Go (or a strong willingness to ramp quickly, it's our primary language).
- Hands-on experience with Kubernetes or similar container orchestration.
- Familiarity with infrastructure-as-code tools (yup, Terraform).
- A bias toward measurement: you instrument what you build and let data tell you whether you actually made things faster.
- You empathize deeply with engineers, fixing developer pain points in an elegant and sustainable manner is something that resonates deeply with you.
NICE-TO-HAVES
- Experience improving build systems, test infrastructure, or developer experience at meaningful scale - Bazel, Concourse, and GitHub workflows are old friends.
- Familiarity with observability tools like Datadog, Grafana, and OpenTelemetry.
- Comfort working close to the metal - Linux, containers, kubernetes - you get your hands very dirty.
- Security-minded instincts, especially around supply chain and the path from commit to deploy.
- Understanding that the question isn't "AI pilled vs AI skeptic", but rather where to use it as an accelerant, and where human context must come first.
If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need.
BENEFITS
- 4 weeks of paid vacation.
- 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return.
- Long-term disability, life insurance, and 401K plans.
- 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well.
- Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc.
- Monthly cell phone and internet subsidy.
- Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders.
- Continuous learning benefits & related support.
This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization.
Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
We encourage all who are interested to apply. We can't wait to hear from you!
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At Querify Labs, we work with technology companies on the design and implementation of complex data infrastructure systems. Our engineers contribute to projects involving query processing, storage engines, distributed systems, and analytical infrastructure.
Our Engineering Approach:
Our engineers primarily work with Java and C++, though we are not tied to any specific language or technology stack. We value strong engineering fundamentals and the ability to select the right tools for the problem at hand. We leverage modern AI-assisted development tools to accelerate research, prototyping, implementation, and code exploration. We view AI as a force multiplier for experienced engineers rather than a replacement for engineering judgment, system design, or deep technical expertise. We actively study open-source systems, academic research, and production architectures to make informed engineering decisions.
You Will:
— Design and implement core system components
— Investigate performance bottlenecks and scalability challenges
— Analyze open-source projects and research papers
— Write technical design documents and validate ideas through prototypes
— Participate in architecture discussions and code reviews
— Work closely with experienced database and distributed systems engineers
You Have:
— Strong knowledge of algorithms and data structures
— Solid software engineering experience in Java, C++, Rust, or another systems-oriented language
— Interest in databases, query processing, storage engines, or distributed systems
— Strong analytical and problem-solving skills
— Ability to understand complex technical trade-offs and communicate them clearly
— Curiosity, ownership, and a desire to learn new technologies
Nice to Have:
— Experience with databases, query engines, storage engines, or distributed systems
— Experience with concurrency, parallel algorithms, or performance optimization
— Experience with big data technologies and data processing systems
— Contributions to open-source projects
— Research publications, conference talks, or technical writing
What We Offer:
— Competitive compensation based on experience, expertise, and impact
— Long-term contractor engagement
— Fully remote work from anywhere in the world
— Exceptionally challenging technical problems
— Opportunities to publish, speak at conferences, and contribute to the technical community
УдалённоYou Will Design and implement core system components Investigate performance bottlenecks and scalability challenges Analyze open-source projects and research papers Write technical design documents and validate ideas through prototypes Participate in architecture discussions and code reviews Work closely with experienced database and distributed systems engineers You Have Strong knowledge of algorithms and data structures Solid software engineering experience in Java, C++, Rust, or another systems-oriented language Interest in databases, query processing, storage engines, or distributed systems Strong analytical and problem-solving skills Ability to understand complex technical trade-offs and communicate them clearly Curiosity, ownership, and a desire to learn new technologies Nice to Have Experience with databases, query engines, storage engines, or distributed systems Experience with concurrency, parallel algorithms, or performance optimization Experience with big data technologies and data processing systems Contributions to open-source projects Research publications, conference talks, or technical writing What We Offer Competitive compensation based on experience, expertise, and impact Long-term contractor engagement Fully remote work from anywhere in the world Exceptionally challenging technical problems Opportunities to publish, speak at conferences, and contribute to the technical community APPLY
Location: San Francisco, California; New York, New York
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT THE ROLE:
As the Head of Early Career Recruiting, you'll own and scale our early career strategy across Notion. We've built real momentum on the engineering side — now we're ready to grow that into something bigger, expanding our early talent footprint meaningfully across the business. You'll partner with leaders across the company, university communities, and the broader talent marketplace to attract emerging talent who excel in craft and share our values. You set a high bar, you know the early career market well — university recruiting, internship conversion, emerging pipelines — and you're genuinely AI-first in how you work, always looking for ways to make the team faster and better.
This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We're looking for someone who's excited to work alongside the team during those days.
WHAT YOU'LL ACHIEVE:
- Define and own the global early career recruiting strategy — spanning internship programs, new grad hiring, and early-in-career pipelines across the business — translating priorities into a clear talent plan that scales across functions and regions.
- Manage and develop a high-performing team of early career recruiters — setting the bar and coaching to it consistently.
- Serve as a strategic advisor to business leaders — bringing market intelligence, early career compensation insights, and a clear point of view on emerging talent, whether they're coming from campus, a first job, or somewhere in between.
- Lead the adoption of AI tools, workflows, and automation across the early career recruiting function — driving meaningful change in how the team sources, assesses, and closes talent.
- Design and continuously improve the programs, processes, and infrastructure that allow us to hire with speed without sacrificing bar — including internship program design, conversion strategy, offer frameworks, and intern-to-FTE pipelines.
- Establish and own the early career metrics that matter — conversion rates, quality of hire, source mix, time to offer — and use them to drive decisions.
- Partner with Storytelling to sharpen our employer value proposition across the early talent community — positioning Notion as a destination for the next generation of world-class talent, wherever they're discovering us.
- Partner with Notion's Ambassador Program to build community and connective tissue between early talent and the broader Notion ecosystem — turning advocates into pipelines and relationships into hires.
SKILLS YOU'LL NEED TO BRING:
- 4+ years of recruiting leadership experience with a focus on early career hiring — spanning university recruiting, internship programs, new graduate pipelines, and early-in-career hiring across functions.
- A fresh perspective on how early talent is best attracted and assessed — from build challenges and work trials to the ways people just entering the workforce discover and evaluate companies — and the curiosity to keep evolving that view as the landscape changes.
- Proven track record of building and scaling high-performing early career teams and programs in fast-moving, high-growth environments.
- High agency, strategic operator who can set direction and execute — equally comfortable in a leadership conversation about talent strategy and in the weeds of a hard fall recruiting season.
- Strong analytical instincts with a track record of using data to drive decisions, i.e. conversion rates, funnel health, program ROI, and team performance.
- Trusted advisor to senior leaders, with the credibility and market knowledge to influence program investment and hiring decisions at the executive level.
- Genuine AI-first orientation — fluency with modern tools and an excitement for continuous discovery as the landscape evolves, with a track record of bringing teams along on that journey.
- Deep knowledge of early career compensation trends, talent market dynamics, and partnership models — from universities and bootcamps to the channels and communities where early-in-career talent is found.
NICE TO HAVES:
- Background in program management or talent development with experience designing structured early career experiences (rotational programs, mentorship tracks, etc.).
- Demonstrated track record of leveraging AI to meaningfully change how early career recruiting operates — not just as a tool user, but as someone who has built workflows, driven adoption, and raised the bar on what the function can do.
- Experience designing and executing diversity recruiting programs targeting HBCUs, community colleges, or underrepresented talent communities — with measurable outcomes.
- Strong network within the university recruiting, early career, and campus talent community.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $225,000 - $275,000 per year.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528.
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: London, UK
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's RL Scaling Science team studies how reinforcement learning behaves as we scale it (across model size, compute, and task horizon) and turns that understanding into the training recipes behind our frontier models. As a Research Engineer on this team, you'll design and run large-scale experiments to understand and resolve bottlenecks, build the benchmarks that make long-horizon progress measurable, and ship validated findings directly into production training.
This role lives at the boundary between research and engineering. The problems are open, the experiments run at frontier scale, and the path from a robust result to production is short.
Key responsibilities
Design, run, and interpret large-scale RL experiments, reasoning rigorously about what the data does and doesn't show
Investigate how RL improves as horizon, compute, and model size grow
Build and maintain benchmarks for long-horizon RL so progress is measurable and reproducible
Translate validated findings into production training recipes, exercising judgment about when a result is robust enough to ship
Debug complex issues at the seam where research meets infrastructure - failures that only appear at scale
Partner closely with adjacent RL teams across research and engineering and advance our overall RL stack
Minimum qualifications
Strong empirical research skills in Reinforcement Learning, large-scale ML training, or a closely adjacent area
Demonstrated ability to own large experiments end-to-end, from design through interpretation
Proficiency in Python and experience working with large-scale or distributed ML systems
Comfort operating at the research/systems boundary, including debugging where the two meet
Care about the societal impacts of AI and responsible scaling
Preferred qualifications
Published or shipped work in long-horizon RL or RL fundamentals
Experience translating research findings into production training recipes
Demonstrated large scale industry impact via RL interventions
Experience working on frontier-scale training runs with long trajectories
Representative projects
Design a benchmark suite for long-horizon RL that distinguishes genuine capability gains from artifacts of evaluation setup
Take a promising experimental finding, stress-test it across model scales, and work with training teams to land it in a production recipe
Investigate an unexpected scaling trend in an RL run and trace it to a root cause spanning algorithm, data, and infrastructure
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:
£375,000
—
£640,000 GBP
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: United States
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
We are looking for a hands-on Physical Security Systems Technician to support deployment, validation, and maintenance of physical security infrastructure across our sites throughout the United States. This role is based in New York, and requires frequent travel to support installations, upgrades, testing, and operational activities at multiple locations nationwide.
The ideal candidate combines strong physical security systems knowledge with practical IT infrastructure experience, including networking, Windows/Linux systems, storage platforms, and log analysis. They will ensure systems are properly deployed, validated, documented, and production-ready.
Key Responsibilities
Installation & Support
Install, configure, and maintain CCTV systems (cameras, NVRs/DVRs, VMS)
Support access control systems (badging, controllers, readers, permissions)
Perform hardware replacements (cameras, readers, controllers, cabling components)
Troubleshoot physical security system issues across network, hardware, operating system, and application layers
Support Windows and Linux-based systems supporting physical security platforms
Assist with storage systems used for video retention and evidence management
Testing & Validation
Execute system testing after installations and changes
Develop and run Site Acceptance Testing (SAT) procedures for new deployments
Validate system performance, coverage, failover scenarios, storage retention, and compliance with design requirements
Identify, track, and help resolve issues found during testing
Verify network connectivity, device health, and system integrations
Documentation
Produce and maintain accurate technical documentation (network diagrams, device inventories, configurations, system architecture)
Create and maintain SAT reports, test cases, and validation checklists
Document system changes, incidents, troubleshooting activities, and resolutions
Ensure documentation is structured, standardized, and audit-ready
Deployment & Operations
Support system upgrades, migrations, and new site rollouts
Work with vendors and integrators to ensure quality delivery
Provide on-site and remote support across multiple locations throughout the United States
Monitor and troubleshoot system logs to identify operational issues and root causes
Ensure systems comply with internal standards and security requirements
Required Qualifications
2+ years of hands-on experience with physical security systems (CCTV, access control)
Experience installing and configuring cameras and access control hardware
Experience with system testing, commissioning, SAT, or similar validation activities
Ability to produce clear technical documentation and reports
Solid IT infrastructure knowledge, including:
Networking (TCP/IP, VLANs, routing basics, PoE, DNS, DHCP)
Windows administration and troubleshooting
Linux administration, services, logs, and basic troubleshooting
Storage technologies and capacity management fundamentals
Log analysis and troubleshooting using system and application logs
Strong troubleshooting skills across hardware, software, operating systems, and networks
Ability to work independently in remote locations with minimal supervision
Valid driver’s license and ability to travel extensively throughout the United States
Excellent communication and organizational skills
Preferred Qualifications
Experience with enterprise VMS platforms
Familiarity with enterprise access control systems
Experience in data center, critical infrastructure, or enterprise environments
Knowledge of low-voltage cabling standards
Exposure to structured testing methodologies (SAT, UAT, commissioning)
Experience with monitoring, logging, and system health validation tools
Familiarity with virtualization platforms and enterprise IT environments
Key Traits
Hands-on and execution-focused
Detail-oriented and structured
Strong sense of ownership for quality and completeness
Clear and disciplined in documentation
Strong analytical and troubleshooting mindset
Comfortable working across multiple sites and environments
Willing and able to travel extensively throughout the United States (up to 75%+ travel)
Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
Base Compensation Range
$85,900
—
$107,300 USD
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Hong Kong, Hong Kong SAR
OKX will be prioritising applicants who have a current right to work in Hong Kong, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.\
About The Opportunity
As a mobile software engineer, you will build and maintain a core OKX app with millions of daily active users. You will work cross-functionally with design, product and other engineering teams to identify customer needs, and ship high-quality new features through fast iterations. This is an opportunity to learn the full life cycle of crypto mobile applications including pro/retail trading, asset management and wallet. Join us in building the next generation of mobile-first Web3 experiences, empowering millions of users to seamlessly interact with digital assets, decentralized applications, and blockchain-powered services through secure and intuitive products.
What You’ll Be Doing
Part of a global mobile team, developing new features for the all-in-one iOS and Android apps.
Strive for performance optimization and maximize customer satisfaction.
Stay on top of industry trends, and evaluate new solutions to address our unique and fast-growing business needs.
Work closely with design and product teams, and turn design ideas into quality features that scale to millions of users.
Collaborate with global development teams, and deliver customized solutions targeting international users while maintaining consistency with the overall architecture.
Maintain high-quality technical documentation and improve efficiency in cross-office/timezone cooperation.
Actively uses AI tools as a core part of your engineering workflow — not just for code generation, but for building repeatable workflows and bridging across stacks.
What We Look For In You
Experience in either native iOS/Android development, or cross-platform solutions like ReactNative/Flutter/Lua.
Builds AI-leveraged engineering workflows, curating domain knowledge bases, harnessing context, and codifying repeatable agent skills/workflows, with AI tools like
Claude Code
/Codex deliver reliably on real production work.
Fluent with at least one of the following languages: Java/Objective-C/Swift/Kotlin/JavaScript.
Understanding of common data structures and algorithms.
Embrace agile development process including TDD, CI and Scrum.
Passionate about mobile technology and building applications for a large user base.
Nice-To-Haves
Strong understanding of blockchain fundamentals, including wallets, smart contracts, tokens (ERC-20, ERC-721, ERC-1155), and decentralized applications (dApps).
Experience building or maintaining production-grade Web3, DeFi, NFT, GameFi, or digital asset applications.
Perks & Benefits
Competitive total compensation package
L&D programs and education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong.
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Singapore, Singapore
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About The Opportunity
As a mobile software engineer, you will build and maintain a core OKX app with millions of daily active users. You will work cross-functionally with design, product and other engineering teams to identify customer needs, and ship high-quality new features through fast iterations. This is an opportunity to learn the full life cycle of crypto mobile applications including pro/retail trading, asset management and wallet. Join us in building the next generation of mobile-first Web3 experiences, empowering millions of users to seamlessly interact with digital assets, decentralized applications, and blockchain-powered services through secure and intuitive products.
What You’ll Be Doing
Part of a global mobile team, developing new features for the all-in-one iOS and Android apps.
Strive for performance optimization and maximize customer satisfaction.
Stay on top of industry trends, and evaluate new solutions to address our unique and fast-growing business needs.
Work closely with design and product teams, and turn design ideas into quality features that scale to millions of users.
Collaborate with global development teams, and deliver customized solutions targeting international users while maintaining consistency with the overall architecture.
Maintain high-quality technical documentation and improve efficiency in cross-office/timezone cooperation.
Actively uses AI tools as a core part of your engineering workflow — not just for code generation, but for building repeatable workflows and bridging across stacks.
What We Look For In You
Experience in either native iOS/Android development, or cross-platform solutions like ReactNative/Flutter/Lua.
Builds AI-leveraged engineering workflows, curating domain knowledge bases, harnessing context, and codifying repeatable agent skills/workflows, with AI tools like
Claude Code
/Codex deliver reliably on real production work.
Fluent with at least one of the following languages: Java/Objective-C/Swift/Kotlin/JavaScript.
Understanding of common data structures and algorithms.
Embrace agile development process including TDD, CI and Scrum.
Passionate about mobile technology and building applications for a large user base.
Nice-To-Haves
Strong understanding of blockchain fundamentals, including wallets, smart contracts, tokens (ERC-20, ERC-721, ERC-1155), and decentralized applications (dApps).
Experience building or maintaining production-grade Web3, DeFi, NFT, GameFi, or digital asset applications.
Perks & Benefits
Competitive total compensation package
L&D programs and education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
About the Role
We are looking for a Senior Smart Contract Engineer to help design, build, and launch secure blockchain products with seamless wallet-connected user experiences. You’ll work on smart contract architecture, wallet transaction flows, testing, deployment, and Web3 application integrations across networks such as Ethereum, Arbitrum, Optimism, Base, and Polygon. The role is ideal for an engineer who cares deeply about security, clean architecture, gas efficiency, and building products users can trust.
Responsibilities
— Design, develop, test, and deploy secure smart contracts for blockchain applications.
— Build and maintain wallet integration flows, including wallet connection, transaction signing, network switching, and error handling.
— Collaborate with frontend and backend engineers to integrate smart contracts into user-facing products.
— Improve smart contract architecture with a focus on security, scalability, maintainability, and gas efficiency.
— Write comprehensive unit, integration, and end-to-end tests for smart contracts and wallet workflows.
— Support contract deployment, verification, monitoring, and upgrade processes across testnet and mainnet environments.
— Participate in code reviews and contribute to engineering best practices.
— Work with product and engineering teams to define technical requirements and deliver production-ready blockchain solutions.
— Stay current with blockchain protocols, Web3 tooling, wallet standards, and smart contract security practices.
Requirements
— 5+ years of professional experience as a Smart Contract Engineer, Blockchain Engineer, or similar role.
— Strong proficiency in Solidity and EVM-based smart contract development.
— Experience with development frameworks such as Hardhat, Foundry, or Truffle.
— Experience with wallet integration libraries such as ethers.js, web3.js, wagmi, viem, or similar tools.
— Hands-on experience integrating wallets including MetaMask, WalletConnect, Coinbase Wallet, and other EVM-compatible wallets.
— Strong understanding of blockchain fundamentals, including gas optimization, transaction lifecycle management, smart contract upgrade patterns, token standards (ERC-20, ERC-721, ERC-1155), and event indexing.
— Experience with smart contract testing, auditing processes, and security best practices.
— Strong communication skills and ability to collaborate effectively in a remote environment.
— Ability to work independently and take ownership of projects from design through deployment.
Preferred Qualifications
— Experience building DeFi, NFT, staking, DAO, payment, or wallet-related Web3 products.
— Experience working with Layer 2 networks such as Arbitrum, Optimism, Base, Polygon, or zkSync.
— Familiarity with account abstraction, smart wallets, multi-signature wallets, or gasless transaction systems.
— Experience with The Graph, blockchain indexers, or on-chain analytics platforms.
— Experience contributing to open-source blockchain projects.
— Familiarity with React, Next.js, or other modern frontend frameworks.
Benefits
— Fully remote work environment
— Work from anywhere in the world
— Competitive compensation
— Flexible working hours
— Opportunity to work on innovative blockchain and Web3 products
— Collaborative and experienced engineering team
Location: Remote - United States
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
This role is fully remote. Reddit has a flexible first workforce.
The Site Experience SRE team sits at the intersection of infrastructure, product engineering, and user experience - ensuring that every interaction across web, mobile, APIs, feeds, media delivery, and real time systems is fast, reliable, and resilient.
We are looking for a Staff Site Reliability Engineer to lead reliability engineering initiatives for critical user facing systems at internet scale. In this role, you will partner closely with product and infrastructure teams to improve availability, latency, scalability, and operational excellence across Reddit’s most business critical experiences.
This is a highly technical leadership role for someone who thrives in large-scale distributed systems, enjoys solving complex reliability challenges, and can lead cross-functional projects to deliver concrete business results across the organization.
What you’ll do:
Lead Reliability Engineering
Drive complex, cross-organizational programs to advance reliability, scalability, and performance for user-facing systems. Own execution from design through launch across API, content delivery, feed generation, search, and real-time experiences.
Shape the Future of Reliability
Define and drive long-term roadmaps for a domain of ownership within the team, turning ambitious reliability goals into strategic investments that build resilience, unlock scale, and enable product innovation.
Build Strategic Partnerships
Own and grow cross-functional partnerships across product and infrastructure engineering, aligning teams on shared reliability priorities and shaping the investments that keep Reddit resilient as it scales.
Eliminate Systemic Risks
Identify systemic risks and reliability bottlenecks across services, dependencies, deployments, and infrastructure. Drive structural improvements that address root causes, eliminate recurring failures, and prevent entire classes of incidents.
Shape Automation Strategy
Define the team’s approach to automation, identifying new opportunities and reusable patterns that make it easier to automate deployment safety, incident response, remediation workflows, and reliability guardrails
Influence Engineering Standards
Define and champion best practices around reliability engineering, SLIs/SLOs, capacity management, release engineering, and operational maturity across the company.
Elevate the Team
Develop engineers at every level through technical leadership, mentorship, and shared learning. Strengthen the team’s engineering judgment, reliability expertise, and ability to deliver with confidence.
What We’re Looking For
8+
years of experience in Site Reliability Engineering, Infrastructure Engineering, or related roles operating best-in-class large scale distributed systems.
Expertise leading complex, cross-organizational engineering programs from design through launch.
Experience defining technical roadmaps to prioritize broad strategic reliability investment.
Proven ability building cross-functional partnerships to align business priorities and facilitate effective technical collaboration.
Expertise using and improving observability systems to expose failure modes, accelerate diagnosis, and answer complex questions about system behavior.
Expertise troubleshooting complex issues across system, infrastructure, and networking.
Strong software engineering fundamentals, sound operational judgment, and effective collaboration practices across teams.
Nice to Have
Experience with Kubernetes, containers, cloud infrastructure, and modern deployment platforms.
Familiarity with technologies such as Prometheus, Grafana, OpenTelemetry, Envoy, Kafka, ClickHouse, Cassandra, Redis, or similar distributed infrastructure technologies.
Experience with CDN optimization, edge reliability, traffic engineering, or global infrastructure.
Contributions to open source software or participation in technical communities.
Experience leading large scale incident response and operational transformation initiatives.
Benefits:
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Group Personal Pension Scheme with Employer match
Private Medical and Dental Scheme
Income Replacement Programs
Bike to Work scheme
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit
https://www.redditinc.com/careers/
.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base salary range for this position is:
$217,000
—
$303,900 USD
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Location: Georgian office
About Lineate
Lineate is a US-based international software development company with over two decades of experience.
From Intelligent Document Processing(IDP) and Agentic RAG systems to scalable cloud architectures, we turn complex ideas into real, measurable results.
We deliver AI-driven custom solutions for FinTech, HealthTech, AdTech, and beyond, empowering businesses to grow smarter, faster, and more efficiently.
Our expertise falls into three main categories:
Building Custom AI Solutions: Deploying high-impact, AI-enabled technology utilizing IDP, Agentic RAG.
Cloud and Data Infrastructure: Optimizing business operations with our data management and cloud computing solutions.
Team Augmentation: Providing specialized experts in FinTech, AdTech, and HealthTech to integrate seamlessly and accelerate project timelines.
Our goal is not just to build technology, but to build the future operating model for our clients.
Role Summary
The Infrastructure Engineer is responsible for the reliability, security, and continuous improvement of Lineate and customer infrastructure across cloud and on-prem environments. The role combines hands-on SRE/DevOps work — automation, observability, incident response — with support engineering for production systems. The engineer is expected to operate independently on most tasks, and drive infrastructure and tooling improvements, including the use of AI agents to automate routine operational work
Accountable for
• Reliability, availability, and performance of Lineate and customer production systems in accordance with agreed SLOs and support SLAs
• Design, automation, and continuous improvement of cloud and on-prem infrastructure
• Timely and high-quality response to incidents and escalated support requests
• Security, compliance, and cost-efficiency of the infrastructure under the team's ownership
• Day-to-day operations of the infrastructure owned by the team
Main Responsibilities
• Participate in a 24/7 shift schedule
• Monitor systems and respond to automated alerts in line with Lineate support SLAs
Diagnose and resolve system problems
• Operate Kubernetes workloads and Databricks resources by following team playbooks and runbooks
• Perform routine system administration on Linux and Windows servers
• Respond promptly and professionally to customer inquiries via Slack, email, or Zendesk
• Document, categorize, and prioritize incoming support requests
• Communicate the status of open requests clearly and regularly to customers
• Identify and implement automation opportunities, including AI-agent-driven automation of routine operational tasks (ticket triage, runbook execution, log analysis, knowledge-base maintenance)
• Drive incident resolution by coordinating triage, implementing mitigation measures, conducting root cause analysis, and leading post-incident reviews
• Maintain and improve runbooks, playbooks, FAQs, and internal knowledge bases
• Implement and improve observability: metrics, logs, traces, dashboards, alerting, and SLO tracking
• Contribute to CI/CD pipelines and basic infrastructure automation
• Follow basic information security practices (IAM, secrets handling, least privilege)
• Participate in the improvement of support and infrastructure processes
Necessary Qualification
s:
• Minimum 3 years of hands-on Linux system administration experience (required)
• Minimum 2 year of hands-on experience with AWS in a production environment (required)
• Working familiarity with Kubernetes — able to operate workloads, read logs, and perform standard actions by following playbooks (deep cluster-design expertise not required)
• Working familiarity with AWS Databricks — able to run jobs, manage clusters, and troubleshoot using existing playbooks (deep platform expertise not required)
• Practical experience using AI agents / LLM-based tooling (e.g., Claude, ChatGPT, MCP-based agents, Cursor, Copilot) to automate operational, scripting, or support tasks
• At least 1 year of Windows system administration experience
• Practical scripting skills in at least one of Python, Bash, Go (1+ years of practical use)
• Ability to maintain existing pipelines in CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, or equivalent
• Proficiency with Git and standard version-control workflows
• Hands-on experience with Docker and container workflows
• Experience managing and maintaining production IT infrastructure
• Comfortable working with a broad range of open-source technologies and tools
Preferred:
• Infrastructure as Code: Terraform (preferred), Ansible, or CloudFormation
• Observability stack: Prometheus, Grafana, ELK/Loki, Datadog, CloudWatch, or equivalent—including building dashboards and alerts
• Networking fundamentals: TCP/IP, DNS, HTTP(S), TLS, VPN, load balancers, VPC design ,basic firewall and routing
• Cloud security: IAM, KMS, secrets management (AWS Secrets Manager, HashiCorp Vault), least-privilege design, audit logging
• Database operations: PostgreSQL, MySQL, or Redis — backups, restores, basic tuning, monitoring
• Incident management practices: on-call rotations, runbooks, SLI/SLO/SLA, blameless postmortems
• Familiarity with data-platform concepts: Spark/PySpark basics, ETL pipelines (in the context of Databricks)
• Experience writing and maintaining MCP servers, prompt-based automations, or AI-driven runbooks is a plus
Exposure to GCP or Azure in addition to AWS
We offer
Freedom to Develop - equal opportunity to learn and grow professionally
Clear career and professional path, strong performance management system
Social Benefits Package
Equipment
English lesson
Gym membership
All the advantages of working in an international IT company
Flexible vacation time
Fun and inclusive in-person and digital events
Lineate is proud to be an Equal Opportunity Employer - We do not hire on the basis of race, colour, religion, creed, gender, national origin, citizenship, age, disability, veteran status, marital status, pregnancy, parental status, sex, gender expression or identity, sexual orientation, or any other basis protected by Georgian legislation. All employment is decided based on qualifications, merit, and business ne
ed. Learn more about Lineate at our website: www.lineate.
Location: Cyprus; Georgia; Poland; Spain; Serbia; Latvia
We are looking for a
FullStack Engineer
with a strong backend focus to help build and scale Enterprise products.
You will work closely with Product and Engineering teams to develop partner-facing experiences, widgets, and internal applications.
Responsibilities
Build and maintain frontend applications, widgets, partner portals, and landing pages.
Design and implement backend services and APIs.
Prototype new partner integrations and B2B solutions.
Work closely with Product Managers and Designers from requirements to production.
Own features end-to-end, including deployment and support.
Participate in code reviews and architecture discussions.
Actively leverage AI tools to accelerate development and increase productivity.
Requirements
Backend
Commercial experience with Node.js and TypeScript.
Experience building and maintaining REST APIs.
Good understanding of PostgreSQL and Redis.
Understanding of asynchronous patterns and message queues.
Familiarity with JWT and OAuth2.
Frontend
Strong JavaScript and TypeScript skills.
Solid experience with React or Angular.
Experience building responsive web applications.
Experience with component-driven architecture and reusable UI patterns.
Experience with HTML, CSS, SCSS, and modern frontend tooling (Webpack, Vite, ESLint, Prettier).
Experience writing UI tests using Jest or similar frameworks.
Engineering Fundamentals
Strong Git workflow and code review practices.
Experience with CI/CD and GitLab CI.
Docker and local development environments.
Comfortable working with Linux and CLI tools.
Understanding of software architecture and distributed systems concepts.
AI-First Engineering
Experience using Cursor, GitHub Copilot, Claude Code, or similar tools.
Experience with AI-assisted coding, debugging, and documentation.
Understanding of prompt engineering and LLM capabilities.
AI-first mindset and willingness to continuously learn.
Nice to Have
Experience with Web3 or blockchain products.
Experience integrating third-party APIs (payments, KYC providers, etc.).
Familiarity with Kubernetes and GitOps.
Experience integrating OpenAI, Anthropic, or other LLM APIs.
Experience with Next.js and SSR.
Benefits
Professional growth: support for courses, conferences, and English learning (up to 100% coverage).
Work-life fit: remote or hybrid format with flexible hours across international teams.
Paid leave: up to 20 vacation days + 8 company holidays + 5 personal days per year
Recognition programs: structured performance reviews and team awards.
Team culture: retreats in international locations (for example, company apartments in Cyprus).
Location: Tallinn, Estonia
Are you looking for the next professional opportunity that will challenge you and advance your career?
Join our team now!
Tickmill is looking to hire a
Senior AI/ML Engineer (AI Lead)
to join our rapidly expanding team. The ideal candidate will be a highly hands-on and business-oriented professional, capable of designing and delivering production-grade AI systems that drive measurable business impact.
About Tickmill.
Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures & Options).
Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles and several other locations worldwide.
Our culture is built on trust, transparency, and high standards. We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields.
Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can.
We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth.
Join the Tigers!
What does the role look like?
The Senior AI/ML Engineer (Applied AI Lead) will have the chance to:
• Design, develop, and productionise machine learning models end-to-end (training, validation, deployment, monitoring, retraining), ensuring reliability in real-world environments.
• Lead the development of AI use cases such as client lifetime value (CLV), churn prediction, and fraud/abuse detection, with clear alignment to business outcomes and measurable impact.
• Build and establish robust MLOps practices, including model deployment pipelines, CI/CD, environment promotion (dev/stage/prod), and lifecycle management.
• Implement model monitoring frameworks to track performance, data drift, data quality, and business impact, with clear retraining and escalation strategies.
• Ensure model explainability and transparency using techniques such as SHAP, feature attribution, and other interpretability methods appropriate for business-critical and regulated contexts.
• Define and enforce best practices around model governance, documentation, versioning, and auditability, proportional to model risk and business impact.
• Collaborate closely with Data Engineering to ensure high-quality data pipelines, feature engineering, reproducibility, and scalable data foundations.
• Work cross-functionally with Product, Risk, Commercial, and other stakeholders to translate business problems into pragmatic AI solutions, balancing speed and robustness.
• Drive continuous improvement through feedback loops, monitoring insights, and model retraining strategies, rather than one-off model delivery.
• Mentor team members and promote best practices in production AI, MLOps, and applied machine learning delivery.
What do you need to succeed in this role?
• 5–8+ years of experience building and deploying machine learning models in production environments (not just experimentation).
• Strong Python programming skills and solid software engineering fundamentals (testing, code quality, modular design, maintainability).
• Strong understanding of machine learning concepts, model evaluation, feature engineering, and practical considerations in production systems (e.g. data leakage, drift, stability).
• Hands-on experience with large-scale data processing (Spark / PySpark).
• Experience with ML lifecycle tools (MLflow or similar) for experiment tracking, model management, and reproducibility.
• Experience building and maintaining CI/CD pipelines (GitHub Actions preferred) for ML or data workflows.
• Strong SQL skills and experience working with large, complex datasets in real-world environments.
• Proven ability to deliver AI/ML solutions with measurable business impact, not just model performance improvements.
• Experience working with model deployment, monitoring, drift detection, and retraining strategies in production systems.
• Strong communication skills with the ability to work effectively with both technical and non-technical stakeholders, translating trade-offs clearly.
• Ability to operate effectively in environments with evolving requirements, imperfect data, and delivery pressure, balancing MVP speed with production robustness.
The below are considered as a plus:
• Experience in fintech, trading, or financial services environments, particularly where models influence business-critical decisions.
• Experience with real-time or streaming ML systems.
• Familiarity with modern AI approaches such as LLMs, embeddings, or retrieval-augmented generation (RAG), particularly where applied to business workflows or integrated with structured data.
• Experience working in regulated environments and implementing model governance frameworks (e.g. auditability, explainability, approvals, documentation standards).
• Experience contributing to team standards, mentoring, or leading applied AI delivery.
By joining us, you can expect:
A Unique Opportunity for a career in a global, fast-growing company.
Attractive
remuneration package
based on qualifications and experience.
Opportunities to learn and grow through our “
Employee Training & Development program”.
Stebby Sports Compensation or Confido Health Compensation.
Multiple
events
to bond with the team and the group.
Birthday and Loyalty
benefits
.
What to expect from our recruitment process:
Interview with HR
Assessment task
Interview with hiring managers
Final interview with top management
Make your next Career step and apply NOW!
*Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.
Location: Limassol, Cyprus
Are you looking for the next professional opportunity that will challenge you and advance your career?
Join our team now!
Tickmill is looking to hire a
Senior AI/ML Engineer (AI Lead)
to join our rapidly expanding team. The ideal candidate will be a highly hands-on and business-oriented professional, capable of designing and delivering production-grade AI systems that drive measurable business impact.
About Tickmill.
Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures & Options).
Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles and several other locations worldwide.
Our culture is built on trust, transparency, and high standards. We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields.
Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can.
We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth.
Join the Tigers!
What does the role look like?
The Senior AI/ML Engineer (AI Lead) will have the chance to:
• Design, develop, and productionise machine learning models end-to-end (training, validation, deployment, monitoring, retraining), ensuring reliability in real-world environments.
• Lead the development of AI use cases such as client lifetime value (CLV), churn prediction, and fraud/abuse detection, with clear alignment to business outcomes and measurable impact.
• Build and establish robust MLOps practices, including model deployment pipelines, CI/CD, environment promotion (dev/stage/prod), and lifecycle management.
• Implement model monitoring frameworks to track performance, data drift, data quality, and business impact, with clear retraining and escalation strategies.
• Ensure model explainability and transparency using techniques such as SHAP, feature attribution, and other interpretability methods appropriate for business-critical and regulated contexts.
• Define and enforce best practices around model governance, documentation, versioning, and auditability, proportional to model risk and business impact.
• Collaborate closely with Data Engineering to ensure high-quality data pipelines, feature engineering, reproducibility, and scalable data foundations.
• Work cross-functionally with Product, Risk, Commercial, and other stakeholders to translate business problems into pragmatic AI solutions, balancing speed and robustness.
• Drive continuous improvement through feedback loops, monitoring insights, and model retraining strategies, rather than one-off model delivery.
• Mentor team members and promote best practices in production AI, MLOps, and applied machine learning delivery.
What do you need to succeed in this role?
• 5–8+ years of experience building and deploying machine learning models in production environments (not just experimentation).
• Strong Python programming skills and solid software engineering fundamentals (testing, code quality, modular design, maintainability).
• Strong understanding of machine learning concepts, model evaluation, feature engineering, and practical considerations in production systems (e.g. data leakage, drift, stability).
• Hands-on experience with large-scale data processing (Spark / PySpark).
• Experience with ML lifecycle tools (MLflow or similar) for experiment tracking, model management, and reproducibility.
• Experience building and maintaining CI/CD pipelines (GitHub Actions preferred) for ML or data workflows.
• Strong SQL skills and experience working with large, complex datasets in real-world environments.
• Proven ability to deliver AI/ML solutions with measurable business impact, not just model performance improvements.
• Experience working with model deployment, monitoring, drift detection, and retraining strategies in production systems.
• Strong communication skills with the ability to work effectively with both technical and non-technical stakeholders, translating trade-offs clearly.
• Ability to operate effectively in environments with evolving requirements, imperfect data, and delivery pressure, balancing MVP speed with production robustness.
The below are considered as a plus:
• Experience in fintech, trading, or financial services environments, particularly where models influence business-critical decisions.
• Experience with real-time or streaming ML systems.
• Familiarity with modern AI approaches such as LLMs, embeddings, or retrieval-augmented generation (RAG), particularly where applied to business workflows or integrated with structured data.
• Experience working in regulated environments and implementing model governance frameworks (e.g. auditability, explainability, approvals, documentation standards).
• Experience contributing to team standards, mentoring, or leading applied AI delivery.
By joining us, you can expect:
A Unique Opportunity for a career in a global, fast-growing company.
Attractive
remuneration package
based on qualifications and experience (including 13th salary and Discretionary Bonuses to reward exceptional performance).
Opportunities to learn and grow through our “
Employee Training & Development program”.
Medical Insurance Cover
, which includes Outpatient, Inpatient, and Dental Care.
Multiple
events
to bond with the team and the group through Quarterly/Semestrial Team Activities for all the Company.
Participation in our welfare investment and savings plan through our
Provident Fund Scheme.
Birthday and Loyalty
benefits
.
Collaboration with SportBenefit.
What to expect from our recruitment process:
First interview with hiring managers or an HR call
Task Assessment
Technical Interview or home assignment
Final interview with top management
Make your next Career step and apply NOW!
*
Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.
Location: California; Sunnyvale, CA; San Francisco Bay Area, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Austin, TX; Washington, D.C.; Los Angeles, CA; Chicago, IL; Boston, MA
Workplace: onsite
Overview
Welo Data is hiring Portuguese (Portugal)-speaking analysts to support our Speech & Voice AI team. You’ll help build high-quality audio, speech, and language datasets that power production AI systems.
Role details
Employment: W2, full-time (40 hrs/week)
Location: 100% onsite only; must commute to one of: NYC; Seattle/Bellevue/Redmond; SF Bay Area (San Francisco, Sunnyvale, Burlingame); Austin; Los Angeles; Washington DC; Chicago; Boston
Pay: $26–$28/hour, depending on location and experience
What you’ll do
Label and annotate speech/voice data (transcription, tagging, categorization)
Follow clear guidelines to ensure accuracy and consistency at scale
Maintain strong throughput while meeting quality targets
Escalate unclear cases and adapt to evolving instructions
Participate in team calibrations for quality alignment
What we’re looking for
Native-level fluency in
Portuguese (Portugal)
Strong written communication and language fundamentals
1+ year in labeling/annotation/content-quality work, or a related Bachelor’s degree
High attention to detail; comfort with structured, repetitive workflows
US work authorization required (no visa sponsorship)
Benefits
Paid vacation: 6 days; Company holidays: 2 (Memorial Day, Labor Day); Sick leave per state law
Medical, dental, vision (eligibility applies); HSA; 401(k); EAP; additional voluntary benefits
Onsite perks where available: free meals, stocked micro-kitchens, commuter options, unique campus amenities
ОфисCalifornia; Sunnyvale, CA; San Francisco Bay Area, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Austin, TX; Washington, D.C.; Los Angeles, CA; Chicago, IL; Boston, MA
Location: California; Sunnyvale, CA; San Francisco Bay Area, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Austin, TX; Washington, D.C.; Los Angeles, CA; Chicago, IL; Boston, MA
Workplace: onsite
Overview
Welo Data is hiring Croatian-speaking analysts to support our Speech & Voice AI team. You’ll help build high-quality audio, speech, and language datasets that power production AI systems.
Role details
Employment: W2, full-time (40 hrs/week)
Location: 100% onsite only; must commute to one of: NYC; Seattle/Bellevue/Redmond; SF Bay Area (San Francisco, Sunnyvale, Burlingame); Austin; Los Angeles; Washington DC; Chicago; Boston
Pay: $26–$28/hour, depending on location and experience
What you’ll do
Label and annotate speech/voice data (transcription, tagging, categorization)
Follow clear guidelines to ensure accuracy and consistency at scale
Maintain strong throughput while meeting quality targets
Escalate unclear cases and adapt to evolving instructions
Participate in team calibrations for quality alignment
What we’re looking for
Native-level fluency in
Croatian
Strong written communication and language fundamentals
1+ year in labeling/annotation/content-quality work, or a related Bachelor’s degree
High attention to detail; comfort with structured, repetitive workflows
US work authorization required (no visa sponsorship)
Benefits
Paid vacation: 6 days; Company holidays: 2 (Memorial Day, Labor Day); Sick leave per state law
Medical, dental, vision (eligibility applies); HSA; 401(k); EAP; additional voluntary benefits
Onsite perks where available: free meals, stocked micro-kitchens, commuter options, unique campus amenities
ОфисCalifornia; Sunnyvale, CA; San Francisco Bay Area, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Austin, TX; Washington, D.C.; Los Angeles, CA; Chicago, IL; Boston, MA
Location: Amsterdam, Netherlands; Remote - Europe
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The Role
We’re looking for a
Site Reliability Engineer
to help build and run the fundamental part of Nebius - the Network - the infrastructure everything else depends on. This is an engineering-first SRE role: you’ll set clear reliability targets, build the tooling and automation to meet them, and make the network safer to operate as we scale quickly.
Your responsibilities will include:
Define and own reliability goals for network services and critical paths (SLIs/SLOs, availability targets, error budgets where it makes sense)
Drive reliability improvements across the whole network: not only services, but also site readiness, inter-site connectivity (DCI), and operational standards
Own incident response for your areas, lead investigations/postmortems, and turn failures into durable fixes (not repeated firefighting)
Build and evolve observability: actionable metrics/logs/traces, alerting, and faster debug loops during and after incidents
Design safer change workflows: automation, CI/CD, test/staging environments, canarying, rollbacks, and auditability for network changes
Work closely with network engineers and platform teams to embed operability into designs and keep operations practical and fast
We expect you to have:
Strong production Linux fundamentals and a structured approach to debugging complex systems
Solid understanding of networking basics and how real networks fail (control plane vs data plane, latency/loss, failure domains, etc.)
Hands-on experience operating high-availability systems and improving them over time (not just “keeping lights on”)
Ability to write and maintain software/automation (Go is common for us; Python is also welcome)
Experience with modern infrastructure tooling (e.g., IaC, CI/CD, container platforms) and comfort automating operational workflows
It will be an added bonus if you have:
Experience with high-throughput traffic processing: load balancers, tunneling/decap, NAT64, or similar datapath-heavy systems
Low-level networking performance/debug background (eBPF/XDP, DPDK, perf/ftrace, kernel networking internals)
Experience building network-safe delivery pipelines (testing labs, staged rollouts, automated verification, drift detection)
Background with large-scale network observability/telemetry (e.g., routing/flow telemetry, regression detection at scale)
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: United States
Workplace: Remote
At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀
Role Overview:
We are seeking a skilled and experienced Senior AI Engineer - Multi-Agent Frameworks to join our AI Platform team. In this role, you will play a pivotal part in building a cutting-edge platform that empowers our users to create and deploy sophisticated intelligent agents, with a key focus on enabling collaborative and multi-agentic behaviors. This is a backend-focused role that requires deep expertise in AI, large language models (LLMs), and orchestration software.
Key Responsibilities:
- Design, develop, and maintain a robust platform to enable users to create and manage AI agents and their interactions.
- Integrate and work with multiple LLMs, ensuring seamless orchestration and scalability for both individual and coordinated agent operations.
- Leverage orchestration frameworks like LangGraph and others to build complex workflows and pipelines that support diverse agent functionalities, including frameworks for multi-agent coordination.
- Develop and implement evaluation frameworks for testing AI agents in challenging and complex scenarios, focusing on individual performance and system-level dynamics.
- Stay at the forefront of AI advancements, incorporating the latest research and technologies into our platform to enhance agent capabilities and collaboration.
- Collaborate with cross-functional teams, including product managers, designers, and frontend engineers, to deliver a seamless user experience for building and deploying intelligent systems.
- Address challenging AI privacy scenarios, ensuring compliance with data protection regulations and best practices within agent-based applications.
- Contribute to improving search capabilities and integrating them into the AI platform to provide agents with essential information access.
Qualifications:
- Proven experience working with multiple LLMs (e.g., OpenAI, Anthropic, Cohere, etc.) and understanding their strengths and limitations.
- Expertise in orchestration software like LangGraph or similar frameworks used for building and managing agent workflows.
- Strong background in developing evaluation frameworks for AI systems, particularly in complex testing environments.
- Deep understanding of AI and machine learning fundamentals, with a focus on backend engineering.
- Passion for staying updated with the latest developments in AI and applying them to real-world problems, particularly in the realm of agent technologies.
- Experience with challenging AI privacy scenarios, including data anonymization, secure data handling, and compliance.
- Experience with search technologies and their integration into AI systems.
- Experience building or deploying Multi-Agent Frameworks or Multi-Agent Systems.
#LI-REMOTE
#LI-AK2
#LI-CC1
Equal Opportunity Employer
ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
Privacy Notice
ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice
If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details.
Visa Sponsorship
Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions.
Fraud Alert
ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com.
AI Processing Notice
ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.
УдалённоRemote: United States; Remote: Canada
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ГибридheadSan Francisco, California; New York, New York
London, UK
United States
Hong Kong, Hong Kong SAR; Maintain high-quality technical documentation and improve efficiency in cross-office/timezone cooperation
Singapore, Singapore; Maintain high-quality technical documentation and improve efficiency in cross-office/timezone cooperation
УдалённоseniorМожно работать из любой страны
УдалённоRemote - United States
География найма не уточнена
leadTallinn, Estonia
leadLimassol, Cyprus
Amsterdam, Netherlands; Remote - Europe
УдалённоseniorUnited States; ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com
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