Location: Office, EU
We are the creators of a new fintech era!
Our mission is to revolutionize the world by making blockchain technology accessible to everyone in everyday life. WhiteBIT is a global team of more than 1,500 professionals united by a shared vision of shaping the future.
We are building our own blockchain ecosystem to ensure maximum transparency and security for over 8 million users worldwide. Our cutting-edge solutions, rapid adaptation to market challenges, and technological excellence set us apart from traditional companies.
Our official partners include Juventus, FC Barcelona, Lifecell, FACEIT, and VISA.
Join us as a Head of Data Platform.
Requirements
Education & Experience:
— MSc in computer science, mathematics, statistics, physics or another quantitative field; PhD is a plus, not a requirement — research-grade methodology sits with the Quantitative Researcher
— 5+ years in data engineering / analytics, incl. lead / management experience; built a trading / financial data platform from zero at a crypto exchange, HFT / electronic-trading firm, market maker, or trading fintech. Bank / enterprise-DWH background alone does not qualify
— Personally carried production ownership of money data — trades, balances, positions, P&L — where a data error is a financial error
Core Technical Skills — data platform:
— Hands-on today: designs and ships pipelines personally — advanced SQL and Python; ClickHouse (or kdb+ / comparable columnar OLAP) in production
— Streaming and batch in one architecture: Kafka or equivalent, event feeds with second-grade freshness alongside hourly aggregates; trading-day logic — metrics counted within a trading day that starts and ends at a fixed morning hour, with an automatic daily reset
— Optimizes data footprint and computational overhead across every stage: selects the tech stack, partitioning logic, and execution flow based on cost-to-performance impact
— Data-correctness engineering: reconciliation, idempotent backfills, late / duplicate event handling, data-quality monitoring and lag alerting
— Vendor and API integration: institutional market-data providers (Kaiko / Amberdata class), exchange APIs, FX feeds; schema design and documentation others can build on
Core Technical Skills — analytics & applied math:
— Applied statistics at a working level: distributions, hypothesis tests and confidence intervals, correlation vs causation, time-series and aggregation pitfalls (session boundaries, survivorship, outliers) — enough to catch a methodological error in an analyst's query or notebook, and to have designed or reviewed metric / experiment methodology in past roles
— Metric and semantic design: one written definition per metric (P&L, uptime, spread, fill rate) enforced across every report; analytical data models (marts / star schemas) that make those definitions computable and cheap to query
— BI stack governance: Tableau / Grafana — performance, access control, versioned metric definitions; reviews dashboards for correctness rather than building them all himself
— ML literacy: understands when a model is — and is not — needed and can supervise applied work; research-grade modeling remains the Quantitative Researcher's mandate
Market & Domain Knowledge:
— Trading data from practice, not textbooks: maker/taker, fees and rebates, perpetual funding, realized / unrealized P&L, inventory and exposure, order-book depth and spread, slippage, quoting uptime
— Understands the consumers: how analysts, quants and desk heads use the data, and how market-quality / compliance metrics feed liquidity-provider terms
— Has built and run a mixed organisation of data engineers and analysts: separate hiring bars and growth tracks, peer review of queries and dashboards as a standard, methodology documented before a number ships
— Partners with quantitative research: turns the Researcher's methodology into production metrics and dashboards without distorting it; runs the sign-off process with quant and desk stakeholders
— Treats balances and client data as confidential by default: access control, least privilege, audit trail, no raw-data leaks
— Never ships silently wrong numbers: escalates early, cuts scope consciously, flags uncertainty in the data
Mindset & Soft Skills:
— Player-coach: the first months are personal hands-on delivery; scaling through the team runs in parallel, not instead
— Speaks business: reports status in money and deadlines; prioritizes by P&L impact — which dataset unblocks which decision; no jargon walls with management and stakeholders
— Owner of the direction's technical goals, not of a backlog: takes a business problem, decomposes it into tasks, executes and delegates
Responsibilities - Platform
— Architect and ship the central data warehouse: every trade, position, balance and P&L across all trading services; an hourly contour for BI plus a real-time contour for monitoring; trading-day logic with automatic daily reset
— Build the data layers behind LP terms: market quality (spread, depth near mid price, fill rate, per-order slippage), quoting-uptime start/stop events per maker and pair, external tier-1 benchmarks and FX feeds for regional fiat pairs
— Close the data debt: gaps in realized-P&L coverage, history backfills, broken monitoring services — restore or replace
— Set and hold agreed data-freshness targets and pipeline-health alerting; own schemas and documentation
— Own analytics delivery end-to-end: the KPI rulebook published and signed, financial / attribution / historical-performance dashboards, compliance screens and provider scorecards
— Enforce a single semantic layer: one definition per metric across every report; methodology documented before a dashboard ships
— Quality gate: numbers are reviewed and challenged before they reach management; sign-offs from quant / desk collected per deliverable
Responsibilities
:
— Hire leaders-first and onboard the technical team (~10 people: data engineering, analytics & BI, technical PM) per the approved hiring plan; hand tasks down without losing velocity
— Single interface to exchange tech (requirements, acceptance, freshness targets) and to analytics / quant stakeholders; run delivery in Jira against the approved one-year roadmap
— After the build: run the platform as a service to the direction — researcher-generated tasks, new metrics and pair groups, regular recalibration.
Working terms
Immerse yourself in Crypto & Web3:
Master cutting-edge technologies and become an expert in the most innovative industry.
Work with the Fintech of the Future:
Develop your skills in digital finance and shape the global market.
Take Your Professionalism to the Next Level:
Gain unique experience and be part of global transformations.
Drive Innovations:
Influence the industry and contribute to groundbreaking solutions.
Join a Strong Team:
Collaborate with top experts worldwide and grow alongside the best.
Work-Life Balance & Well-being:
Modern equipment.
Comfortable working conditions, and an inspiring environment to help you thrive.
22 business days of paid leave.
Additional days off for national holidays.
Your privacy matters to us. You can learn more about how we handle your personal data with regard to your application in our
Candidate Privacy Notice
.
Location: Netherlands
At Catawiki, every day brings the extraordinary! Whether it’s
Daniel Ricciardo’s Formula 1 Car
, a
Woolly Mammoth’s Skeleton
,
Lady Gaga's Jumpsuit
or
Usain Bolt’s running shoe
, we encounter exceptional objects every day.
We’re a one-of-a-kind marketplace for buying and selling special objects. Each week, more than 100,000 unique items are auctioned, all carefully curated by our passionate in-house experts.
Having sold over 25 million unique objects, our mission is to become the world’s most popular destination for special objects. As a growing, diverse and sustainable scale-up, we proudly live by three core values. If these values resonate with you, we’d love to explore how you can join us.
Taking ownership and driving impact
Being open to change and feedback
Being passionate about our mission and our customers.
About the role
As IT Support Lead, you will play a central role in delivering a reliable, secure, and high-quality technology experience for Catawiki employees. You will lead the day-to-day IT support function, ensuring colleagues receive timely and effective assistance while continuously improving our processes, service standards, and employee experience.
This is a hands-on leadership role combining technical support, operational ownership, team development, and stakeholder management. You will remain closely connected to day-to-day support while helping the team work consistently and effectively.
You will oversee the employee IT lifecycle from onboarding to offboarding, with a focus on frontline service delivery, endpoint support, eSIM services, IT inventory, logistics, workplace technology, and operational improvements.
What you’ll do
IT Support Leadership & Employee Experience
Lead the daily IT support operation, ensuring incidents and requests are prioritised, tracked, communicated, and resolved effectively.
Provide hands-on support across hardware, software, identity, access, network, and collaboration tools.
Serve as an escalation point for complex technical issues and employee-impacting incidents.
Establish and maintain high standards for IT support quality, responsiveness, documentation, and customer experience.
Coach, mentor, and support IT colleagues, helping them develop their technical skills and adopt consistent ways of working.
Monitor support trends, service levels, recurring issues, and employee feedback to identify improvement opportunities.
Build and maintain a knowledge base of technical documentation, how-to guides, and FAQs.
Proactively improve the employee IT experience through scalable processes, automation, and user-friendly solutions.
Help ensure a smooth and consistent employee experience throughout onboarding, internal transfers, and offboarding.
IT Systems Support & Service Operations
Act as the primary operational contact for employees requiring support with core IT systems and workplace technology.
Support the day-to-day operation of Okta, Google Workspace, Slack, Jira/Confluence, Jamf, and other business applications.
Handle user-facing support, troubleshooting, access requests, onboarding activities, and issue escalation in line with established processes and policies.
Carry out approved operational tasks such as user provisioning, access changes, device enrolment, software deployment, and equipment configuration.
Escalate complex platform issues, recurring problems, and system risks with clear documentation and impact assessment.
Support the testing, rollout, and adoption of system changes, upgrades, and new tools.
Maintain accurate support documentation, operating procedures, and knowledge-base articles.
Gather employee feedback and recurring support insights to help improve system configuration, processes, and usability.
Manage eSIM services, including provisioning, activation, replacement, deactivation, troubleshooting, and lifecycle administration.
Manage relationships with eSIM providers and ensure reliable service, clear ownership, and effective issue resolution.
IT Operations, Inventory & Logistics
Own IT asset management, including procurement, inventory, allocation, repairs, replacement, and lifecycle management.
Maintain accurate records of laptops, mobile devices, accessories, eSIMs, software licences, and other IT equipment.
Coordinate equipment delivery, collection, storage, repairs, replacement, and secure disposal.
Ensure employees receive the right equipment, connectivity, and access at the right time.
Manage relationships with hardware, software, eSIM, logistics, and other IT service providers.
Track orders, deliveries, stock levels, warranties, repairs, and supplier performance.
Identify opportunities to improve IT inventory controls, logistics processes, and equipment availability.
Support office technology, including Wi-Fi, printers, meeting-room equipment, conference-room AV, and other workplace infrastructure.
Coordinate and contribute to IT projects such as office moves, system upgrades, technology rollouts, and infrastructure improvements.
Security, Compliance & Risk Management
Help enforce IT security policies, standards, and procedures across the organisation.
Maintain strong controls around identity, access, devices, software, eSIMs, and company data.
Respond to and remediate security incidents, alerts, and vulnerabilities in collaboration with the broader IT and security teams.
Support access reviews, device compliance checks, audits, and vulnerability assessments.
Promote security awareness and help employees adopt secure working practices.
Ensure IT processes are documented and aligned with relevant compliance and data-protection requirements.
Escalate potential security risks promptly and help ensure appropriate follow-up actions are completed.
Service Improvement & Stakeholder Management
Develop and improve IT support processes, workflows, service catalogues, escalation paths, and operating procedures.
Use support data and employee feedback to identify recurring issues and improvement opportunities.
Partner with IT and business stakeholders on system changes, process improvements, and technology rollouts.
Communicate clearly during incidents, changes, and service disruptions, keeping stakeholders informed.
Contribute to IT planning and prioritisation by providing insight from day-to-day employee support.
Help create a consistent and scalable IT service as Catawiki continues to grow.
Promote a culture of ownership, collaboration, knowledge sharing, and continuous improvement.
What you’ll bring
3–5 years of experience in IT support, workplace technology, IT operations, or a related field.
Experience leading, mentoring, or managing people, ideally with 2–3 years in a team-lead or people-management capacity.
A track record of combining hands-on technical support with operational ownership and team leadership.
Strong experience supporting users across macOS, Google Workspace, Slack, Jira, Okta, Jamf, and related workplace technologies.
Experience managing the employee IT lifecycle, including onboarding, offboarding, access requests, and equipment provisioning.
Experience with mobile connectivity, eSIM administration, telecom providers, or related IT services is a strong advantage.
Experience managing IT assets, inventory, logistics, vendors, and office technology.
Ability to work effectively within established processes for system changes, access management, and incident escalation.
A practical understanding of IT security principles, device compliance, access controls, and incident response.
Strong organisational skills and the ability to prioritise effectively in a fast-paced environment.
Excellent problem-solving skills, with a focus on root-cause analysis and sustainable solutions.
A customer-focused mindset and the ability to build trust with employees at all levels.
Strong communication and stakeholder-management skills in English, both written and verbal. Additional Portuguese language skills are a plus.
The ability to coach and support colleagues, share knowledge, and create clarity in a changing environment.
A proactive, resilient, and collaborative approach, with a strong sense of ownership.
A hands-on mentality and willingness to be physically present in the office four days a week.
A passion for learning and staying current with emerging IT, security, and workplace technology trends.
Why You'll Love Working with Us
Create a visible impact
by working at scale in a global organisation serving millions of customers across 80+ categories. In our flat structure, every role has a broad scope and directly impacts both our customers and the business.
Learn and grow
through our Learning & Development initiatives, including clear development plans and mentorship programmes to support your career progression.
A culture of connection defines us
. We’re a passionate, diverse team of 800+ Catawikians representing 60+ nationalities. We foster an inclusive and queer-friendly environment where everyone is encouraged to bring their full self to work.
Celebrate life’s moments with us.
You’ll receive a €100 Catavoucher when you join, a €50 Catavoucher on your birthday, and an extra day off each year to “Pursue Your Passion
”
. We also offer additional leave for key work anniversaries and important life events. Benefits may vary by location.
Our Offices and Way of Working
Our vibrant offices in Amsterdam and Lisbon are designed to inspire collaboration. Most Catawikians operate in a hybrid setup, combining office-based and remote work, with a minimum of two days per week in the office, unless a role is explicitly stated as fully remote or fully office-based.
Interested?
Apply with an English CV and Cover Letter. By applying, you agree to
Catawiki’s Applicant Privacy Policy.
If you’re excited about this role but don’t meet every requirement, we still encourage you to apply anyway. You may be just the right candidate for this or other roles.
We may use artificial intelligence (AI) tools to support the review of your application. AI may help us assess how your experience matches the requirements of the role, but hiring decisions are always made by our recruitment team
Location: Berlin
Our Story
Founded in 2009, we’re one of the world’s leading game studios, and proud of our extremely international team, consisting of more than 50 different nations. We are part of Playtika and the global leader in the category of Hidden Object Games. With June’s Journey, we’re providing joy for millions of players around the world every day.
How we work
Our aim is to keep doing so for many more years, if not decades. In order to be able to do so, we’ve defined a distinct way of how we’re working at Wooga, so that all relevant aspects intertwine and have a positive impact on the game. No matter if you’re part of a game team or support the success of Wooga as part of a central team, all 250+ employees from around the world can make an impact. We’re proud of the environment we’ve built, and believe you’ll enjoy working with some of the best people in the industry.
Our drivers: Speed, Focus, Ownership, and Impact, guide our working style at Wooga and help us make a deliberate choice to focus on what is important to us, while working towards a shared goal.
These drivers shape how we work together and what we expect from ourselves and our leaders.
As a Mid-level Marketing Data Analyst, you will analyze large-scale data across user acquisition touchpoints in order to generate insightful metrics, custom dashboards, and deep-dive analyses to measure marketing performance.
Our marketing teams aim for best-in-class user acquisition strategies, bringing high-quality players to our games while driving innovation around performance marketing and targeted campaigns. We're looking for a passionate, results-oriented talent to join our team, develop new insights to shape data-driven decisions, continuously improve marketing efficiency, and help drive business growth for years to come.
About the job
Design, build, and maintain automated, interactive dashboards in Tableau to give the Marketing team up-to-date visibility into performance and KPIs.
Dive deep into large-scale marketing data to identify key insights that will inform user acquisition strategies and business growth.
Help define how best to measure and monitor our marketing channels, creatives, budget allocation, and overall campaign performance.
Help to develop an analysis strategy and perform analysis of complex campaigns and A/B tests, both systematically and on a one-off basis.
Provide data-driven recommendations to help Marketing Managers optimize their campaigns across various channels (e.g., Facebook Audience Network, Snapchat, TikTok).
Partner with Data Engineering on data gathering and signal sharing, integrating 3rd-party data providers (e.g., AppsFlyer, Kochava), democratizing data with reporting tools, AI Agents, and innovating workflows.
Communicate actionable results and data-driven findings across the organization clearly and concisely.
About you
You have recent experience in a data analyst role, preferably in digital advertising, performance marketing, or the app industry.
You have experience with (app) Attribution Services (eg: AppsFlyer or Kochava).
Literacy on Agentic Workflows, and other productivity and modern self-service data innovations.
You can use SQL effectively within an enterprise data environment and you have a good understanding of commonly applied statistical techniques. Basic understanding of programming is not required, but is appreciated.
You have strong experience using Tableau (or similar) to build interactive dashboards and visualizations.
You have good problem-solving skills and can look for logical connections between marketing spend, consumer behavior, and data.
You have a deep understanding of the digital advertising market,including communication patterns as they relate to consumer marketing. You are in tune with user acquisition patterns, and you understand mobile app growth.
You know your way around designing, communicating, visualizing, or reporting your results/analysis so they are clear and unambiguous to both technical and non-technical audiences.
Please note: Research has shown that some under-represented groups in the gaming industry (eg: women) tend to apply only if they meet every single requirement. Here at Wooga, the desire to learn and the willingness to solve problems are more important to us than your experience on paper. We encourage you to apply even if you do not think that you tick all the boxes - thinking outside of such boxes and embracing the diversity of mindsets and backgrounds is what we believe makes our teams thrive.
Our Promise
Shape the future! Challenge the status quo and team up with a diverse group of experts (over 50 nationalities!) working on crafting the world’s best games.
We offer a generous relocation package and home search support if you are not already located in Berlin. Did we mention that we also cooperate with Kindergartens?
Make use of a significant education budget and extra days off for self-development. Join our meet-ups, talks, brown bag lunches, internal trainings, workshops and many others.
Enjoy the pilates, mindfulness app, sports and transport subsidies. And a Purpose Day to donate your time to a worthy cause!
Did you know that German is the third most commonly taught language worldwide? Learn it too! We offer German language classes for you and your significant other.
With our hybrid work model you will work in the office with your teams twice a week, to encourage in-person collaboration and team bonding. The other three days you can choose if you want to work from home or from the office. We also offer 10 days a year to work from abroad.
At Wooga we are committed to providing a friendly, safe and welcoming environment for everyone who works here or with us, regardless of gender, gender identity and expression, sexual orientation, disability, physical appearance, body size, race, age, religion (or lack thereof) and game preferences. Be yourself, we like you that way!
By clicking “Submit Application” you acknowledge that you have read our
Candidate Privacy Policy
Australian Payments Plus (AP+) is seeking a Senior Product Manager to oversee critical components of Australia's payment infrastructure, including eftpos, BPAY, NPP, and the ConnectID secure identity service. The role is based in Sydney and involves managing product strategies and delivery for these key payment systems. Candidates should have extensive experience in product management within the payments or financial technology sectors, demonstrating strong leadership and stakeholder engagement skills. The position requires a deep understanding of payment ecosystems and the ability to drive innovation and operational excellence in a complex, regulated environment.
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
About OKX
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
The Trading Systems team builds the mission-critical order, execution, position, and risk infrastructure that powers OKX’s global trading platform. We operate at the intersection of high performance, correctness, resilience, and scale—where every design decision matters.
We are seeking a Senior C++ Software Engineer to lead the design and evolution of our trading counter and core trading systems. This role is for an engineer who combines deep systems expertise with strong ownership: someone who investigates root causes, raises the quality bar across the engineering lifecycle, and turns individual learning into reusable team capability.
What You’ll Be Doing
Lead the architecture, design, and development of complex, high-performance C++ trading systems.
Design reliable distributed systems, including consistency, fault tolerance, disaster recovery, and resilience strategies across system boundaries.
Own work end to end—from technical proposals and design reviews through framework refactoring, implementation, deployment, production debugging, replay, and validation.
Solve low-level systems challenges involving networking, protocols, concurrency, memory management, performance, and operating-system-level behaviour.
Drive architectural improvements by identifying systemic issues and anti-patterns, such as overly coupled or “God Class” designs, and redesigning components with clear responsibilities.
Build proactive quality safeguards, including automated testing, failure-injection scenarios, stability validation, monitoring, and replay-based verification.
Design controlled experiments to validate architectural assumptions and diagnose complex production issues beyond surface-level symptoms.
Work effectively across heterogeneous technology stacks, making sound engineering decisions at language, service, and platform boundaries.
Independently explore and apply AI-assisted engineering practices across code understanding, solution design, cross-review, incident analysis, test validation, and knowledge capture.
Raise engineering standards through thoughtful code reviews, technical discussions, and continuous improvements to development practices.
Mentor engineers and share practical knowledge through documentation, playbooks, technical sessions, and reusable frameworks.
What We Look For In You
Bachelor’s degree or above in Computer Science, Software Engineering, or a related STEM field; equivalent practical experience is also valued.
5+ years of hands-on software engineering experience, with substantial experience building production C++ systems.
Strong experience designing and evolving complex systems, with a clear understanding of architectural trade-offs.
Proven knowledge of concurrency, multithreading, network programming, and performance optimisation in Linux-based environments.
Hands-on experience with distributed consistency, high availability, fault tolerance, disaster recovery, or other system-level reliability designs.
Strong understanding of computer systems fundamentals, including networking protocols, operating systems, memory, storage, and runtime behaviour.
A track record of taking ownership proactively, from defining the problem to delivering and validating a robust solution.
Exceptional debugging and analytical ability, with a habit of investigating why issues occur—not simply applying short-term fixes.
Experience using automated tests, simulation, replay, or comparative experiments to validate system behaviour and reliability.
Clear communication skills and a collaborative mindset; able to turn experience into documentation, standards, and practices that help the whole team.
Nice to Haves
Experience with exchange, brokerage, trading counter, order management, execution, market data, or other low-latency financial systems.
Experience with event-driven architectures, messaging systems, or high-throughput distributed platforms.
Familiarity with Rust, Java, Go, Python, or other languages used in multi-language production environments.
Practical experience applying AI tools to improve software engineering workflows and code quality.
Experience working with globally distributed, cross-functional engineering teams.
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
.
Location: Serbia; Latvia; Lithuania; Ljubljana; Moldova; Belarus; Georgia; Kyrgyzstan; Uzbekistan; Azerbaijan; Armenia; Czech Republic; Portugal; Spain; Dubai
Workplace: remote
About the Team
We are Quadcode, a fintech company excelling in financial brokerage activities and delivering advanced financial products to our global clientele. Our flagship product, an internal trading platform, is offered as a Software-as-a-Service (SaaS) solution to other brokers.
About the role
We're looking for a Linux Administrator to join our Infrastructure team, responsible for building, operating and continuously improving all of our infrastructure services — from core services to observability and private clouds.
Our infrastructure supports the stable operation of a large-scale trading platform and includes 2,000+ virtual machines and 300+ physical servers, running predominantly on Ubuntu. The stack ranges from core services like LDAP, PowerDNS and NTP, to an observability stack (Prometheus, Thanos, Loki, Grafana, Jaeger) and private clouds based on OpenStack and Kubernetes, as well as services such as GitLab, Artifactory and Vault.
You’ll work in a team of experienced infrastructure engineers, using Scrum and Agile practices, with two-week sprints and a strong focus on automation, reliability and continuous improvement.
The position is full-time remote, with a flexible start time — anytime before 12:00 pm EET/EEST.
Why this role?
You’ll be part of the team responsible for the production environment behind products used by millions of users, working directly with development teams, helping them troubleshoot infrastructure-related issues and keep their services running reliably in production.
It’s a good fit for an engineer who enjoys troubleshooting, automation and making infrastructure more reliable and scalable, rather than simply maintaining servers.
Tasks
Oversee various services and associated infrastructure components, including DNS, Gitlab, Artifactory, Vault, Loki, Prometheus etc;
Perform day-to-day operational tasks such as upgrades, CVE patching, backup and restore, security scans, and monitoring;
Manage and support private clouds (Openstack and Kubernetes);
Design, configure, maintain and troubleshoot Linux systems across different environments, including bare metal, virtual machines and containers.
Resolve incidents, provide support coverage, categorize issues, conduct post-mortems, and perform root cause analysis;
Ensure environments are stable and adhere to availability SLAs;
Work towards reducing operational effort;
Automate repetitive operational tasks and continuously reduce manual effort;
Collaborate with development teams to troubleshoot infrastructure-related issues in production;
Keep infrastructure documentation and operational procedures up to date;
Engage in constant upskilling to stay updated with industry best practices.
Requirements
3+ years of professional experience as a Linux System Administrator, DevOps Engineer, or Site Reliability Engineer, with a focus on infrastructure.
Extensive experience in designing, building, configuring, and troubleshooting Linux servers across various environments (bare metal, container, cloud);
Experience with Linux server configuration, maintenance and troubleshooting in production.
Understanding of process control, logging and Linux service management.
Experience with infrastructure services such as Vault, Artifactory, DNS and similar platform components.
Proficiency with automation tools such as Chef, Ansible, or Salt;
Experience with Docker, Kubernetes and containerized environments;
Experience with monitoring and log aggregation tools like Grafana, ELK, or Graylog;
Experience in deploying and maintaining systems on cloud solutions such as OpenStack, VMware, Proxmox, or public cloud platforms such as AWS, GCP, Azure.
Skilled in scripting languages such as Bash and Python;
Familiarity with configuring various servers and databases, including Apache Tomcat, Nginx, MySQL DB, PostgreSQL, Kafka, RabbitMQ, etc;
Experience with DevOps tools and CI/CD workflows.
At least C1 in Russian and B1 in English.
Nice to have
Hands-on experience with Kubernetes, including troubleshooting workloads and cluster-related issues.
Hands-on experience with OpenStack, including deployment, configuration, maintenance or troubleshooting of private cloud environments.
Hands-on experience with Chef.
Experience with GitLab CI/CD, Jenkins or GitHub Actions.
Experience working with fintech/trading, or other high-load and mission-critical systems.
We offer
Full-time remote work (service provider contract).
Competitive compensation (EUR).
Flexible working hours.
Corporate AI subscriptions (Claude, Gemini, GPT, etc.).
Access to a rewards marketplace offering products and language courses, redeemable using the company’s internal currency.
A strong team of engineers.
Positive and friendly atmosphere.
With a team of 500+ creative and tech-driven people across the globe, Quadcode is the place where ideas turn into impact, where every project is a chance to grow, innovate, and make your mark.
Join us today, and let's shape the future of fintech together!
Note: All applications will be treated with strict confidence. We thank all applicants for their interest, however, only those candidates selected for interviews will be contacted.
#LI-JM1
Location: Vilnius
Job Overview
We are looking for an
Analytics Engineer
who will own dbt Cloud in our organisation and maintain the analytics pipelines built on top of it. You will administer dbt Cloud across multiple independent projects, keep our business-critical pipelines running (including finance data models), and support analysts in other teams as a mentor and go-to person for dbt.
Our stack is Snowflake, dbt and AWS, with Python for tooling and automation. We are also building AI-assisted and agentic workflows into our daily work, and you will take an active part in this.
Reports to
Director of Mobile and New Games
What will you do?
Administer dbt Cloud for the whole organisation: project setup, environments, permissions, CI/CD, version upgrades and cost control
Set up and support multiple independent dbt projects, define common standards and conventions so teams stay aligned
Develop and maintain production dbt pipelines, including complex finance models where accuracy and trust are critical
Mentor analysts on dbt, SQL modeling, testing and code review
Tune Snowflake performance and cost, improve pipeline reliability and monitoring
Build tooling and automation in Python (AWS Lambda, S3, orchestration, metadata workflows)
Drive AI adoption in our analytics engineering work: build common AI skills for dbt development (documentation, testing, code generation) and automated agentic workflows that the whole team can reuse
Follow current trends in AI tooling and agentic systems, evaluate new approaches and bring the useful ones into the team
What are we looking for?
4+ years of experience in analytics engineering, data engineering or a similar role
Strong hands-on dbt experience, ideally including dbt Cloud administration (projects, environments, jobs, CI/CD), not only model development
Strong SQL and data modeling skills
Production experience with Snowflake, including performance tuning and cost awareness
Python for data tooling and automation
Experience with AWS services used in data platforms (Lambda, S3)
Experience owning business critical pipelines: data quality testing, incident handling, communication with non-technical stakeholders
Experience with mentoring or supporting analysts
Fluent English
What additional skills will help you stand out?
Strong understanding of agentic AI workflows: practical experience building LLM based agents, AI skills and automated workflows for engineering tasks
Experience with multi-agent setups (orchestration of several agents, subagents, agent-to-agent handoffs)
Good understanding of current trends in the AI space and ability to judge what is actually useful for a data team
Experience with multi-project dbt setups (dbt Mesh, cross-project references or similar)
Experience with finance or revenue data (reconciliation, reporting-grade accuracy)
Background in gaming, mobile apps or other consumer product analytics
Familiarity with marketing and attribution data (AppsFlyer) or product telemetry
dbt certification
Work mode
Hybrid (3 days of work from the office)
This role isn't eligible for relocation & immigration support.
The salary range for this role in Vilnius is EUR 4000-6500 monthly gross.
Benefits
Benefits and perks are tailored to the local market and culture. Our benefits in Vilnius include:
Additional paid time off
Sick Leave Compensation
Pregnancy and Childbirth Leave Benefit
Career development and education opportunities within the company
Meal Allowance
Premium Private Health Care
Mental well-being program (iFeel)
Perks discounts platform (over 450 exclusive discounts)
Personal Gaming Account
Coffee, fruits, and snacks in the office
Company events
Seniority Awards
Referral program - You can recommend the best talents to the company and receive a reward
Please submit your CV in English to ensure smooth processing and review.
About Wargaming
Wargaming is an award-winning online game developer and publisher headquartered in Nicosia, Cyprus. Operating since 1998, Wargaming has become one of the leaders in the gaming industry with 15 offices worldwide, including studios in Chicago, Prague, Shanghai, Tokyo, and Vilnius. Our diverse and multicultural team works together to deliver a top-class experience to millions of players who enjoy Wargaming's titles across all major gaming platforms. Our flagship products include free-to-play hits World of Tanks, World of Warships and World of Tanks Blitz.
Please see
Wargaming Candidate Privacy Policy
for details on how Wargaming uses your personal data.
Location: Hyderabad, Telangana, India
About Turing
Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at
www.turing.com
.
Role:
Forward-Deployed AI Engineer — Enterprise AI
Location:
Hyderabad, India
Experience Level:
8+ years
Work Model:
Hybrid, 3 days per week in office
Employment Type:
Full Time
Why Join Enterprise AI?
Enterprise AI is a distinct business unit within Turing, operating with the speed, focus, and ownership of a rapidly scaling startup. When it comes to applied AI in the workplace, you’ll define the frontier by building beyond it.
You’ll join the initial team of Forward-Deployed Engineers, shaping how we work while solving enterprise-grade problems for the world’s leading enterprises. As a Forward-Deployed AI Engineer, you’ll own outcomes end to end—from identifying high-value customer problems and shaping architecture to building production systems and working directly with senior client leaders.
You’ll develop generative AI solutions in the real world, driving measurable impact and return on investment within large institutions. Enterprise AI is intense, intellectually challenging work. It won’t be for everyone, but it may be
exactly the challenge you’re looking for.
As a Forward-Deployed Engineer, You Will
Find the Problem Worth Solving
Work directly with customers to navigate ambiguity, uncover high-value opportunities, challenge assumptions, and translate complex business needs into clear technical direction. This requires curiosity and business acumen as you discover business workflows and jointly define the outcomes an AI solution should drive.
Build Beyond the Frontier
Architect and build production AI systems, from multi-agent workflows, orchestration, tool use, context engineering, memory and state, and retrieval-augmented generation (RAG) to the APIs, data pipelines, integrations, and distributed systems that make them reliable at scale.
Own the Outcome
You won’t simply be given a list of responsibilities—you’ll have the authority to own the outcome for your client and make a real-world impact through your work. You’ll lead solutions from discovery through deployment and measurable impact while staying hands-on and owning evaluation, observability, security, reliability, latency, scalability, and cost.
The Anti-Sell
High ownership and intensity:
This role requires exceptional ownership and accountability. You’ll work with clients who have uncompromising expectations for quality, making this a demanding environment—and an ideal proving ground for people who seek difficult, high-impact challenges.
Client-first and hybrid:
This role is based in Bengaluru or Hyderabad and requires working from the office three days per week. Candidates must currently be based in one of these two cities. Relocation assistance is not available.
You’ll help write the playbook:
Enterprise AI operates like a startup. You may not always have an established process or playbook because you’ll be expected to apply your expertise, judgment, and technical depth to create one.
Our Forward-Deployed Engineers Typically Have
Deep production engineering experience:
Typically 8+ years building and operating sophisticated software systems, with expertise in Python, backend systems, APIs, databases, distributed systems, system design, and cloud infrastructure.
Hands-on agentic AI experience:
Experience building production LLM and agent systems using orchestration, tool use, context engineering, memory and state, retrieval, and multistep workflows.
Strong retrieval depth:
Experience building and improving production retrieval systems, with a practical understanding of embeddings, vector and hybrid search, reranking, evaluation, and diagnosing retrieval quality.
End-to-end systems ownership:
A track record of taking complex systems from architecture through deployment and scale, with a practical understanding of evaluation, observability, reliability, security, guardrails, latency, scalability, and cost.
Exceptional customer and technical leadership:
The ability to enter unfamiliar environments, earn trust quickly, navigate ambiguity, challenge assumptions constructively, and communicate effectively with senior engineers and business executives.
Client-ready communication:
The ability to explain technical concepts clearly, navigate ambiguity, work with stakeholders, and remain calm under pressure.
Values
We are client first:
We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
We work at Start-Up Speed:
We move fast, stay agile and favor action because momentum is the foundation of perfection
We are AI forward:
We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing
Work at the frontier of AI
, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.
Contribute to leading-edge AI research
and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.
Bring frontier AI innovation to the enterprise
, applying lessons learned from leading AI labs to solve real-world business challenges.
Collaborate with and learn from exceptional colleagues
with deep AI experience from Google, Meta, Amazon, and other leading technology companies.
Move at the pace of AI innovation
, with the speed, ownership, and impact of a startup.
Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review
Turing's GDPR notice here
.
Location: Bengaluru, Karnataka, India
About Turing
Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at
www.turing.com
.
Role:
Forward-Deployed AI Engineer — Enterprise AI
Location:
Bengaluru, India
Experience Level:
8+ years
Work Model:
Hybrid, 3 days per week in office
Why Join Enterprise AI?
Enterprise AI is a distinct business unit within Turing, operating with the speed, focus, and ownership of a rapidly scaling startup. When it comes to applied AI in the workplace, you’ll define the frontier by building beyond it.
You’ll join the initial team of Forward-Deployed Engineers, shaping how we work while solving enterprise-grade problems for the world’s leading enterprises. As a Forward-Deployed AI Engineer, you’ll own outcomes end to end—from identifying high-value customer problems and shaping architecture to building production systems and working directly with senior client leaders.
You’ll develop generative AI solutions in the real world, driving measurable impact and return on investment within large institutions. Enterprise AI is intense, intellectually challenging work. It won’t be for everyone, but it may be
exactly the challenge you’re looking for.
As a Forward-Deployed Engineer, You Will
Find the Problem Worth Solving
Work directly with customers to navigate ambiguity, uncover high-value opportunities, challenge assumptions, and translate complex business needs into clear technical direction. This requires curiosity and business acumen as you discover business workflows and jointly define the outcomes an AI solution should drive.
Build Beyond the Frontier
Architect and build production AI systems, from multi-agent workflows, orchestration, tool use, context engineering, memory and state, and retrieval-augmented generation (RAG) to the APIs, data pipelines, integrations, and distributed systems that make them reliable at scale.
Own the Outcome
You won’t simply be given a list of responsibilities—you’ll have the authority to own the outcome for your client and make a real-world impact through your work. You’ll lead solutions from discovery through deployment and measurable impact while staying hands-on and owning evaluation, observability, security, reliability, latency, scalability, and cost.
The Anti-Sell
High ownership and intensity:
This role requires exceptional ownership and accountability. You’ll work with clients who have uncompromising expectations for quality, making this a demanding environment—and an ideal proving ground for people who seek difficult, high-impact challenges.
Client-first and hybrid:
This role is based in Bengaluru or Hyderabad and requires working from the office three days per week. Candidates must currently be based in one of these two cities. Relocation assistance is not available.
You’ll help write the playbook:
Enterprise AI operates like a startup. You may not always have an established process or playbook because you’ll be expected to apply your expertise, judgment, and technical depth to create one.
Our Forward-Deployed Engineers Typically Have
Deep production engineering experience:
Typically 8+ years building and operating sophisticated software systems, with expertise in Python, backend systems, APIs, databases, distributed systems, system design, and cloud infrastructure.
Hands-on agentic AI experience:
Experience building production LLM and agent systems using orchestration, tool use, context engineering, memory and state, retrieval, and multistep workflows.
Strong retrieval depth:
Experience building and improving production retrieval systems, with a practical understanding of embeddings, vector and hybrid search, reranking, evaluation, and diagnosing retrieval quality.
End-to-end systems ownership:
A track record of taking complex systems from architecture through deployment and scale, with a practical understanding of evaluation, observability, reliability, security, guardrails, latency, scalability, and cost.
Exceptional customer and technical leadership:
The ability to enter unfamiliar environments, earn trust quickly, navigate ambiguity, challenge assumptions constructively, and communicate effectively with senior engineers and business executives.
Client-ready communication:
The ability to explain technical concepts clearly, navigate ambiguity, work with stakeholders, and remain calm under pressure.
Values
We are client first:
We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
We work at Start-Up Speed:
We move fast, stay agile and favor action because momentum is the foundation of perfection
We are AI forward:
We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing
Work at the frontier of AI
, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.
Contribute to leading-edge AI research
and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.
Bring frontier AI innovation to the enterprise
, applying lessons learned from leading AI labs to solve real-world business challenges.
Collaborate with and learn from exceptional colleagues
with deep AI experience from Google, Meta, Amazon, and other leading technology companies.
Move at the pace of AI innovation
, with the speed, ownership, and impact of a startup.
Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review
Turing's GDPR notice here
.
Location: Bangalore - Engineering
Workplace: OnSite
LIFE AT UIPATH
The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power.
To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose.
Could that be you?
YOUR MISSION
UiPath Automation Suite https://www.uipath.com/product/automation-suite is a cloud native application delivery platform which enables UiPath to deliver the entire UiPath Automation Cloud platform onto on-prem customer data centre of choice (e.g. Cloud, BareMetal, virtualised hardware etc). This is complete containerised platform which heavily uses Kubernetes and CNCF technologies. This platform enables customers to install and run UiPath’s suite of applications on a single server or on hundreds of servers based on their need.
WHAT YOU'LL DO AT UIPATH
- As a Senior Software Engineer (SDE-3), you will lead development efforts within a team of engineers, driving the entire software development lifecycle—from initial ideation and design to implementation and scaling. You will ensure the software we are delivering is robust, scalable, production-ready and reliable.
- Incubate new ideas and create a roadmap for your areas of focus.
- You will take lead on analysing complex technical issues, technology choices and communicate them with the team and stakeholders in both written and verbal manner to drive consensus.
- Act as a liaison between engineers in the team, product managers and other stakeholders.
- Help hire and recruit technical talent, and ensure our technical deliverables meet the customer expectations.
- You will be accountable for the software deliverables to meet all requirements of quality, security, scalability, modifiability, extensibility, testability etc.
- You will help establish effective and agile engineering practices across our engineering teams.
- You will be mentoring and providing technical leadership to a team of engineers.
- You will act as a face of the product helping onboard customers/partners and ensuring their continued success.
- You will analyse product usage and operational data to help drive systemic improvements across the product.
- Adhere to security and compliance standards and work with security and compliance teams to identify and address relevant issues.
WHAT YOU'LL BRING TO THE TEAM
- Bachelor’s or Master’s degree in Engineering, Computer Science, or equivalent practical experience.
- 7+ years of experience in developing large-scale applications.
- In-depth knowledge of the CNCF ecosystem, including Kubernetes, its technology stack, and cloud-native tools.
- Proficiency in one or more object-oriented programming languages such as Go (preferred), C#, Java, C++, Python, or Rust, with strong computer science fundamentals.
- Hands-on expertise in data structures, algorithms, and their real-world applications.
- Strong understanding of object-oriented programming, multithreading, synchronization, and cloud-native design.
- Advanced knowledge of Linux, CI/CD pipelines (Azure Pipelines, ArgoCD, FluxCD), and microservices architecture.
- Experience working with cloud platforms such as AWS, Azure, or GCP.
- Proven expertise in building high-availability services, web service development, and service-oriented architectures.
- Strong skills in system architecture, design, coding, debugging, and problem-solving.
- Passion for delivering exceptional customer experiences, with a strong sense of ownership and accountability.
- Proactive, adaptable, and entrepreneurial mindset with a bias for action.
- Ability to take initiative, navigate ambiguity, and drive impactful results.
- Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.
Nice to Have:
- Expertise in writing Kubernetes controllers and operators to manage and extend Kubernetes functionality.
- Experience building multi-tenant SaaS environments.
- Familiarity with LLMs and leveraging Generative AI to accelerate application development.
If you enjoy building software with a broad range of modern technologies and being part of a smart, agile team that is motivated by solving hard business problems with technology, come join us!
Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned.
Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected.
We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.
Location: Zurich, Switzerland
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
As a Senior Machine Learning Engineer on the Applied AI team at Nebius Token Factory, you will own model and endpoint optimization from model artifacts through production deployment. Your work will span model internals, quantization and model compression, speculative decoding, KV-cache optimization, inference engines, serving architecture, and benchmarking to improve latency, throughput, memory efficiency, GPU utilization, and cost per token while preserving quality and reliability.
You will work with kernel and platform engineers to investigate serving problems, compare configurations, and resolve performance and quality regressions. You will evaluate model- and engine-level optimizations together with distributed inference designs, including request routing, scheduling, prefill/decode coordination, and multi-node GPU execution. Your improvements will be validated through reproducible benchmarks and safe production rollouts under real-world workloads.
Your responsibilities
Own optimization projects for specific model families, customer endpoints, or serving backends.
Compare inference engines and recommend serving configurations suited to individual workloads.
Diagnose model-quality and performance regressions during production rollouts.
Improve LLM and VLM endpoint latency, throughput, memory efficiency, GPU utilization, quality, and cost per token.
Deploy, configure, benchmark, and extend engines such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, and NVIDIA Dynamo.
Develop production model-compression workflows covering quantization, quantization-aware training, distillation, low-bit serving, and accuracy recovery.
Implement or integrate speculative decoding, draft-model approaches, KV-cache optimization, prefix caching, chunked prefill, continuous batching, and disaggregated prefill/decode serving. For prefill–decode disaggregation (PDD), evaluate KV-cache transfer, worker placement, and capacity balancing to determine which workloads benefit from the architecture.
Design and improve LLM request routers and scheduling policies that balance worker utilization, queueing, request characteristics, and KV-cache locality while meeting latency and reliability targets.
Scale dense and mixture-of-experts inference across multiple GPU nodes. Select and tune tensor, pipeline, data, and expert parallelism—including wide expert parallelism (WideEP)—with attention to hardware topology, expert load balance, and communication overhead.
Build reproducible benchmark harnesses measuring TTFT, TPOT, tokens per second per GPU, p95/p99 latency, GPU memory, reliability, and cost per token. Validate architecture choices under representative traffic and consistent GPU budgets.
Collaborate with GPU kernel and platform engineers to trace bottlenecks across model code, kernels, runtime, scheduler, gateway, and cluster layers.
Produce design documents, performance reports, rollout plans, and customer-facing technical explanations.
Must-haves
Strong engineering skills in Python and PyTorch.
Hands-on experience deploying or optimizing LLM, VLM, or high-throughput transformer inference.
Practical knowledge of at least one modern inference stack, such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, NVIDIA Dynamo, Ray Serve, KServe, or an equivalent internal system.
A strong understanding of transformer inference bottlenecks involving KV cache, attention, memory bandwidth, batching, parallelism, and long-context serving.
Ability to quantify trade-offs among latency, throughput, quality, utilization, and cost.
Experience designing or optimizing distributed inference system architecture, with hands-on work in one or more areas such as request routing, distributed scheduling, PDD, multi-node inference, or expert parallelism.
Strong communication and collaboration skills across research, kernel, infrastructure, product, and customer teams.
Nice-to-haves
Experience with quantization-aware training, post-training quantization, FP8, INT8, INT4, NVFP4, MXFP4, AWQ, GPTQ, or SmoothQuant.
Experience with distillation, speculative decoding, EAGLE, Medusa, multi-token prediction, or related inference acceleration methods.
Experience supporting agentic workloads involving tool calling, structured outputs, streaming APIs, high concurrency, and multi-step orchestration.
Familiarity with CUDA or Triton; the role does not require kernel engineering to be the candidate’s primary specialization.
Contributions to open-source projects such as vLLM, SGLang, TensorRT-LLM, FlashInfer, LMCache, PyTorch, Triton, Ray, or KServe.
Implementation experience with cache-aware request routing, PDD, or WideEP, including diagnosing communication bottlenecks and load imbalance.
Familiarity with GPU communication libraries and interconnects, such as NCCL, NVLink, InfiniBand, or RoCE.
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.
Kanzum is an international B2B financial platform and fintech company focused on cross-border business payments and foreign exchange operations.
Responsibilities:
— Manage 3–4 Middle+ level vacancies simultaneously.
— Conduct 25–30 candidate interviews per week.
— Manage the candidate process across sourcing and initial screening stages.
— Independently source candidates using LinkedIn, JuiceBox and Boolean search.
— Build and maintain a consistent candidate pipeline for assigned vacancies.
— Conduct initial candidate screenings and assess alignment with the role requirements.
— Interview candidates and evaluate their experience, skills and overall fit for the position.
— Present qualified candidates and move them forward to the next stages of the hiring process.
— Maintain accurate candidate information and ensure consistent communication throughout the recruitment process.
Requirements:
— 1.5+ years of experience in recruitment and/or sourcing.
— Experience recruiting for roles within complex products, fintech, SaaS or other technology-driven businesses.
— English — B2+.
— Hands-on experience sourcing candidates through LinkedIn, JuiceBox, Facebook and/or Boolean search.
— Ability to independently manage 3–4 vacancies simultaneously.
— Proven ability to conduct 25–30 candidate interviews per week.
— Strong candidate assessment and interviewing skills.
— Ability to independently build and maintain candidate pipelines.
— Strong organizational skills and ability to work efficiently in a fast-paced environment.
Conditions:
— Fully remote work.
— Opportunity to work with in dynamic international fintech company with growth opportunities.
— Exposure to a variety of Middle+ roles across different business and technology functions.
Location: Amsterdam, Netherlands; Berlin, Germany; Israel; 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
As a Senior Machine Learning Engineer on the Applied AI team at Nebius Token Factory, you will own model and endpoint optimization from model artifacts through production deployment. Your work will span model internals, quantization and model compression, speculative decoding, KV-cache optimization, inference engines, serving architecture, and benchmarking to improve latency, throughput, memory efficiency, GPU utilization, and cost per token while preserving quality and reliability.
You will work with kernel and platform engineers to investigate serving problems, compare configurations, and resolve performance and quality regressions. You will evaluate model- and engine-level optimizations together with distributed inference designs, including request routing, scheduling, prefill/decode coordination, and multi-node GPU execution. Your improvements will be validated through reproducible benchmarks and safe production rollouts under real-world workloads.
Your responsibilities
Own optimization projects for specific model families, customer endpoints, or serving backends.
Compare inference engines and recommend serving configurations suited to individual workloads.
Diagnose model-quality and performance regressions during production rollouts.
Improve LLM and VLM endpoint latency, throughput, memory efficiency, GPU utilization, quality, and cost per token.
Deploy, configure, benchmark, and extend engines such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, and NVIDIA Dynamo.
Develop production model-compression workflows covering quantization, quantization-aware training, distillation, low-bit serving, and accuracy recovery.
Implement or integrate speculative decoding, draft-model approaches, KV-cache optimization, prefix caching, chunked prefill, continuous batching, and disaggregated prefill/decode serving. For prefill–decode disaggregation (PDD), evaluate KV-cache transfer, worker placement, and capacity balancing to determine which workloads benefit from the architecture.
Design and improve LLM request routers and scheduling policies that balance worker utilization, queueing, request characteristics, and KV-cache locality while meeting latency and reliability targets.
Scale dense and mixture-of-experts inference across multiple GPU nodes. Select and tune tensor, pipeline, data, and expert parallelism—including wide expert parallelism (WideEP)—with attention to hardware topology, expert load balance, and communication overhead.
Build reproducible benchmark harnesses measuring TTFT, TPOT, tokens per second per GPU, p95/p99 latency, GPU memory, reliability, and cost per token. Validate architecture choices under representative traffic and consistent GPU budgets.
Collaborate with GPU kernel and platform engineers to trace bottlenecks across model code, kernels, runtime, scheduler, gateway, and cluster layers.
Produce design documents, performance reports, rollout plans, and customer-facing technical explanations.
Must-haves
Strong engineering skills in Python and PyTorch.
Hands-on experience deploying or optimizing LLM, VLM, or high-throughput transformer inference.
Practical knowledge of at least one modern inference stack, such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, NVIDIA Dynamo, Ray Serve, KServe, or an equivalent internal system.
A strong understanding of transformer inference bottlenecks involving KV cache, attention, memory bandwidth, batching, parallelism, and long-context serving.
Ability to quantify trade-offs among latency, throughput, quality, utilization, and cost.
Experience designing or optimizing distributed inference system architecture, with hands-on work in one or more areas such as request routing, distributed scheduling, PDD, multi-node inference, or expert parallelism.
Strong communication and collaboration skills across research, kernel, infrastructure, product, and customer teams.
Nice-to-haves
Experience with quantization-aware training, post-training quantization, FP8, INT8, INT4, NVFP4, MXFP4, AWQ, GPTQ, or SmoothQuant.
Experience with distillation, speculative decoding, EAGLE, Medusa, multi-token prediction, or related inference acceleration methods.
Experience supporting agentic workloads involving tool calling, structured outputs, streaming APIs, high concurrency, and multi-step orchestration.
Familiarity with CUDA or Triton; the role does not require kernel engineering to be the candidate’s primary specialization.
Contributions to open-source projects such as vLLM, SGLang, TensorRT-LLM, FlashInfer, LMCache, PyTorch, Triton, Ray, or KServe.
Implementation experience with cache-aware request routing, PDD, or WideEP, including diagnosing communication bottlenecks and load imbalance.
Familiarity with GPU communication libraries and interconnects, such as NCCL, NVLink, InfiniBand, or RoCE.
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.
The role of Business Development Lead for Ecosystem & Partnerships at onRails involves driving the growth and expansion of the asset infrastructure within the Canton ecosystem. The position is fully remote and focuses on establishing and nurturing strategic partnerships to integrate assets into the platform. Candidates are expected to have experience in business development, a strong understanding of blockchain ecosystems, and the ability to collaborate across teams to enhance the asset infrastructure. Responsibilities include identifying new partnership opportunities, managing relationships, and contributing to the overall ecosystem strategy to support onRails' mission of bringing assets to Canton.
Location: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Job Location: Sydney, Australia
Role Overview
The
Principal
Partner Engineer (PE)
is a high-impact, strategic technical sales leader responsible for end-to-end technical lifecycle and enablement of the assigned partners, managing both pre-sales and post-sales engineering activities. In this role, you will act as the single technical point of contact as the trusted advisory for your assigned partners, driving technical validation during the sales cycle, architecting their delivery readiness and ensuring ongoing Partner Success.
The role focuses heavily on driving
value-based solution selling
to accelerate the adoption of Cloudflare platform with focus on Cloudflare One (SASE/SSE) and AI Infrastructure (Workers AI / AI Gateway). By cultivating deeply technical champions within the partner organization, aligning architectures to tangible business outcomes, optimizing post-sales delivery and building joint managed services offering, you will directly expand and influence the pipeline to maximize Partner-Influenced Opportunity (PIO) revenue.
Key Responsibilities
1. Pre-Sales Engineering & Champion Building
Technical Alignment, Discovery & Enablement:
Own the technical relationship with Partners to align on building joint Go-To-Market (GTM) strategies. Align, build, and accelerate partner technical capabilities, enabling them to lead deep technical discovery and architectural design to independently sell scalable solutions leveraging the Cloudflare Platform with a strong focus on AI and Cloudflare One (CF1).
Technical Account Plan Ownership: Own and drive the end-to-end Technical Account Plan (TAP) for assigned strategic partners. Act as the primary architect mapping partner business goals to technical execution milestones, ensuring continuous alignment on CF1 and AI adoption targets.
Building Technical Champions: Identify, enable, and cultivate key technical advocates and "Champions" within the partner organization to scale Cloudflare expertise independently, generate Partner-Influenced Opportunities (PIO), and empower them to deliver high-value professional services around Zero Trust and AI application security.
Driving PIO via Next-Gen Architectures: Collaborate with sales teams to proactively source, qualify, and expand PIO through strategic architectural alignment, focusing on migrating legacy network architectures to CF1 and integrating secure AI solutions.
Deal Support & Qualification: Enable partners' technical validation, proof-of-concept (PoC), demo, pipeline generation, and pipeline acceleration capabilities. Identify joint pursuit accounts, facilitate strategic technical account planning, and deliver cutting-edge solution architecture sessions for Named Partners
2. Accelerate Services Delivery
ASD Partner Journey Ownership:
Own the ASD partner journey to ensure partners possess the advanced capabilities required to deploy, manage, and support the Cloudflare platform and AI application workloads seamlessly.
Joint Services Offering Acceleration with strong focus on CF1 and A1
: Build and co-develop joint services catalogues with key partners, accelerating the creation and launch of their own Cloudflare-focused services offerings, managed CF1 SASE practices, and AI security assessments.
Service Monetization & Performance Metrics:
Enable partners to embed CF1 and Workers AI capabilities into their own managed security portfolios to shorten time-to-market, protect client AI pipelines, and maximize profitability. Develop, manage, and track key performance indicators (KPIs) to measure and improve the effectiveness of these partner service deliveries
Technical Account Management & Architectural Health:
Act as the escalated technical point of contact to ensure long-term architectural health, utilizing telemetry and proactive design to move the partner relationship from reactive to strategics for Cloudflare.
3. Automation AI Agents & Continuous Innovation
Leverage Autonomous AI Tools: Champion the use of Cloudflare OS and AI tools (Agent PAT and Agent Echo) to automate standard, repeatable technical tasks, optimizing operational efficiency and freeing up bandwidth for high-touch, strategic partner engagements.
AI & CF1 Product Enhancement Feedback Loop: Engage partner champions in the Partner Technical Advisory Council (PTAC) to give them early access to beta software, capture raw product feedback, and drive joint co-innovation on CF1 features and emerging AI products.
Cross-Functional Enablement: Participate in continuous cross-training programs to maintain peak proficiency in both pre-sales scoping and post-sales service deployment across the entire Cloudflare One and AI ecosystem.
Required Qualifications & Experience
13+ years of technical, partner-facing experience (e.g., Systems Engineer, Solutions Architect, or Technical Account Manager) in cybersecurity, cloud infrastructure, or networking.
Strong technical depth in Cloudflare One (CF1) or equivalent SASE/SSE architectures, Zero Trust, DNS, and application security, alongside hands-on familiarity with AI deployment, AI Gateway, LLM orchestration frameworks, or vector databases.
Proven track record of developing technical talent or building "champion" programs within partner organizations, specifically driving adoption of complex cloud networks and AI technologies.
Enterprise Architecture & Project Management: Deep understanding of enterprise IT, multi-cloud, and hybrid cloud environment while managing complex projects with multiple stakeholders
Demonstrated ability to manage the technical lifecycle of a deal from initial pre-sales discovery and CF1/AI PIO generation through post-sale service delivery.
Strong communication skills with a track record of presenting complex CF1 architectures and AI-driven use cases to partner leadership and technical teams alike.
Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Location: London, United Kingdom
Workplace: hybrid
About the Company
Global University Systems (GUS) is one of the world’s most dynamic, inclusive, and diverse education organisations. GUS is an international network of higher education institutions, brought together by a shared passion for accessible and industry-relevant qualifications. We deliver a wide variety of programmes, including bachelor’s degree programmes, master’s degree programmes, professional training, English Language training, and corporate & executive education. When someone chooses to study at one of our institutions, whether on campus in Europe, North America, Asia or even in their own home, they are joining a network of over 100,000 students worldwide. When you decide to work with GUS, you will be joining an industry leading, global organisation that has a reach in over 150 different countries.
Role Summary
Are you a gifted wordsmith with a knack for transforming ideas into compelling stories that engage audiences and drive action? As a Creative Copywriter at GUS, you will leverage innovative writing techniques and digital tools to captivate our prospective students and meet our organizational goals. We're looking for creative individuals with a passion for excellence and a drive for results.
As a Creative Copywriter, you will contribute to GUS' worldwide content initiatives, harnessing the power of technology and digital platforms to create unique and engaging campaigns that resonate with our brand's ethos. Your work will span across various channels, including organic and paid social media, PPC, SEO and local marketing efforts, harmonizing these elements to build a best-in-class content portfolio.
To excel in this role, you should be an exceptional communicator with a proven ability to conceptualize and implement creative ideas. You should know when to apply technology to accelerate the writing process and when human creativity is essential to the process.
To be an ideal candidate, you will have had extensive experience producing powerful written content for multinational companies. You should be a natural team player who wants to contribute to a creative environment where everyone can produce their best work.
If you're a passionate communicator who is excited by the prospect of shaping the future narratives of our brands and making an impact on a global scale, we invite you to apply for this exhilarating opportunity.
Key Activities and Responsibilities
As a Creative Copywriter at GUS, you will be responsible for:
· Developing compelling and creative copy for various organic and paid mediums, including social media, PPC, SEO, print and digital campaigns, and email journeys, while ensuring consistency in tone, style, and voice across all platforms and institutions.
· Utilizing technology and AI tools to enhance the copywriting process, while understanding when a human touch is necessary for the crafting of content.
· Working in alignment with the overall company's goals and marketing strategies, ensuring that your written content supports these objectives and helps to deliver the desired message to the targeted audience.
· Staying up to date on the latest trends in content and copywriting, implementing best practices in daily tasks and continuously seeking innovative ways to improve the quality and impact of written content.
· Working in coordination with the marketing teams to maintain a content calendar that aligns with the company's broader marketing and business goals.
· Ensuring all content and communication efforts take diversity, equity and inclusion (DEI) into consideration.
· Contributing to content audits on a regular basis to assess the effectiveness of our copywriting efforts, providing useful recommendations for improvements based on key metrics and analysis.
· Assisting in managing relationships with GUS’ internal brand partners, ensuring clear, persuasive and effective copy is provided for all collaborative efforts.
· Maintaining a high level of quality control to ensure all produced copy aligns with brand guidelines and is free of errors.
Qualifications and Education
Essential
· Undergraduate level or equivalent work experience
Desirable
· Digital marketing qualification
· Writing qualification
Experience
· Significant (5+ years) experience in creative copywriting for multiple channels, including social media, PPC, SEO, content marketing and PR.
· Demonstrated experience (2+ years) in a team-oriented environment, with the ability to collaborate and contribute to team projects.
· Strong research and analytical skills, including the ability to understand audience sentiment, analyse content performance and optimize copy based on performance data.
· An understanding of, and demonstrated interest in, emerging technologies that may impact copywriting including generative AI, automation tools, and data analytics.
· Strong project management skills, including the ability to manage multiple projects simultaneously, while ensuring timely execution.
· Excellent communication and interpersonal skills, including the ability to effectively present ideas to internal stakeholders and collaborate with cross-functional teams.
· Proven experience working collaboratively with an international team.
· Strong problem-solving skills and the ability to think strategically and creatively to continually improve the company's content and copywriting strategy.
· Expertise in Microsoft Office, particularly Word and PowerPoint.
· Fluency in English with excellent writing and editing skills, with a strong grasp of grammar and style.
· Knowledge of AP Style or other major style guides is a plus.
· A portfolio of work that demonstrates your writing abilities and creative skills.
· A demonstrated passion for the educational space
· Experience with content-related tools and services including SEO tools (such as SEMRush, Ahrefs), social media management tools (such as Buffer, Hootsuite) and content management systems (such as WordPress).
· Experience in digital marketing including SEO, social media advertising and content marketing.
The post holder may be asked to undertake different or additional duties in line with business requirements at the request of their line manager. There is an expectation that all employees will maintain the values of the Group and will comply with the code of conduct as well as equality and diversity, health and safety and safeguarding policies.
Please note that this will be a part-time role involving working 3 days a week.
Other information
We acknowledge receipt of your resume for a position at Global University Systems and sincerely appreciate your interest in our company.
We will screen all applicant CVs and select the candidates whose qualifications and experience meet our requirements. Please note due to the high volume of applications we will only contact you if you are selected to continue for the next stage of the recruitment process. We wish you every success.
GUS is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, or religion or belief.
Location: London, United Kingdom
Workplace: hybrid
About the Company
Global University Systems (GUS) is one of the world’s most dynamic, inclusive, and diverse education organisations. GUS is an international network of higher education institutions, brought together by a shared passion for accessible and industry-relevant qualifications. We deliver a wide variety of programmes, including bachelor’s degree programmes, master’s degree programmes, professional training, English Language training, and corporate & executive education. When someone chooses to study at one of our institutions, whether on campus in Europe, North America, Asia or even in their own home, they are joining a network of over 100,000 students worldwide. When you decide to work with GUS, you will be joining an industry leading, global organisation that has a reach in over 150 different countries.
Role Summary
Are you a gifted wordsmith with a knack for transforming ideas into compelling stories that engage audiences and drive action? As a Creative Copywriter at GUS, you will leverage innovative writing techniques and digital tools to captivate our prospective students and meet our organizational goals. We're looking for creative individuals with a passion for excellence and a drive for results.
As a Creative Copywriter, you will contribute to GUS' worldwide content initiatives, harnessing the power of technology and digital platforms to create unique and engaging campaigns that resonate with our brand's ethos. Your work will span across various channels, including organic and paid social media, PPC, SEO and local marketing efforts, harmonizing these elements to build a best-in-class content portfolio.
To excel in this role, you should be an exceptional communicator with a proven ability to conceptualize and implement creative ideas. You should know when to apply technology to accelerate the writing process and when human creativity is essential to the process.
To be an ideal candidate, you will have had extensive experience producing powerful written content for multinational companies. You should be a natural team player who wants to contribute to a creative environment where everyone can produce their best work.
If you're a passionate communicator who is excited by the prospect of shaping the future narratives of our brands and making an impact on a global scale, we invite you to apply for this exhilarating opportunity.
Key Activities and Responsibilities
As a Creative Copywriter at GUS, you will be responsible for:
· Developing compelling and creative copy for various organic and paid mediums, including social media, PPC, SEO, print and digital campaigns, and email journeys, while ensuring consistency in tone, style, and voice across all platforms and institutions.
· Utilizing technology and AI tools to enhance the copywriting process, while understanding when a human touch is necessary for the crafting of content.
· Working in alignment with the overall company's goals and marketing strategies, ensuring that your written content supports these objectives and helps to deliver the desired message to the targeted audience.
· Staying up to date on the latest trends in content and copywriting, implementing best practices in daily tasks and continuously seeking innovative ways to improve the quality and impact of written content.
· Working in coordination with the marketing teams to maintain a content calendar that aligns with the company's broader marketing and business goals.
· Ensuring all content and communication efforts take diversity, equity and inclusion (DEI) into consideration.
· Contributing to content audits on a regular basis to assess the effectiveness of our copywriting efforts, providing useful recommendations for improvements based on key metrics and analysis.
· Assisting in managing relationships with GUS’ internal brand partners, ensuring clear, persuasive and effective copy is provided for all collaborative efforts.
· Maintaining a high level of quality control to ensure all produced copy aligns with brand guidelines and is free of errors.
Qualifications and Education
Essential
· Undergraduate level or equivalent work experience
Desirable
· Digital marketing qualification
· Writing qualification
Experience
· Significant (5+ years) experience in creative copywriting for multiple channels, including social media, PPC, SEO, content marketing and PR.
· Demonstrated experience (2+ years) in a team-oriented environment, with the ability to collaborate and contribute to team projects.
· Strong research and analytical skills, including the ability to understand audience sentiment, analyse content performance and optimize copy based on performance data.
· An understanding of, and demonstrated interest in, emerging technologies that may impact copywriting including generative AI, automation tools, and data analytics.
· Strong project management skills, including the ability to manage multiple projects simultaneously, while ensuring timely execution.
· Excellent communication and interpersonal skills, including the ability to effectively present ideas to internal stakeholders and collaborate with cross-functional teams.
· Proven experience working collaboratively with an international team.
· Strong problem-solving skills and the ability to think strategically and creatively to continually improve the company's content and copywriting strategy.
· Expertise in Microsoft Office, particularly Word and PowerPoint.
· Fluency in English with excellent writing and editing skills, with a strong grasp of grammar and style.
· Knowledge of AP Style or other major style guides is a plus.
· A portfolio of work that demonstrates your writing abilities and creative skills.
· A demonstrated passion for the educational space
· Experience with content-related tools and services including SEO tools (such as SEMRush, Ahrefs), social media management tools (such as Buffer, Hootsuite) and content management systems (such as WordPress).
· Experience in digital marketing including SEO, social media advertising and content marketing.
The post holder may be asked to undertake different or additional duties in line with business requirements at the request of their line manager. There is an expectation that all employees will maintain the values of the Group and will comply with the code of conduct as well as equality and diversity, health and safety and safeguarding policies.
Please note that this will be a part-time role involving working 3 days a week.
Other information
We acknowledge receipt of your resume for a position at Global University Systems and sincerely appreciate your interest in our company.
We will screen all applicant CVs and select the candidates whose qualifications and experience meet our requirements. Please note due to the high volume of applications we will only contact you if you are selected to continue for the next stage of the recruitment process. We wish you every success.
GUS is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, or religion or belief.
Location: Georgia; Belarus; Armenia; Serbia; Moldova; Kyrgyzstan; Uzbekistan; Dubai; Estonia; Finland; Greece; Montenegro; Poland; Romania; Bulgaria
Workplace: remote
About the Team
We are Quadcode, a fintech company excelling in financial brokerage activities and delivering advanced financial products to our global clientele. Our flagship product, an internal trading platform, is offered as a Software-as-a-Service (SaaS) solution to other brokers.
About the role
We’re looking for a Linux Administrator to join our Ops team — a team working at the intersection of infrastructure and software development, supporting applications built with PHP and Go.
The Ops team is responsible for keeping the infrastructure and services behind our products stable, secure and reliable in production. The team works across virtual machines, databases, CI/CD, monitoring, automation and internal platform services such as Thanos, Prometheus, Grafana, Ceph and profiling systems.
Our infrastructure supports the stable operation of a large-scale trading platform and includes 2,000+ virtual machines and 300+ physical servers, running predominantly on Ubuntu.
We work with Scrum, Agile and a data-driven approach, with two-week sprints and a strong focus on continuous improvement.
The position is full-time remote, with a flexible start time — anytime before 12:00 pm EET/EEST.
Why this role?
You won’t be focused on just maintaining servers or working with isolated infrastructure components.
You’ll be part of the team responsible for the production environment behind products used by millions of users, working directly with development teams, helping them troubleshoot infrastructure-related issues and keep their services running reliably in production.
It’s a good fit for an engineer who enjoys troubleshooting, automation and making infrastructure more reliable and scalable, rather than simply maintaining servers.
Tasks
Administer Linux servers (Ubuntu) across development and production environments.
Administer PostgreSQL databases and Greenplum clusters, including performance and reliability troubleshooting.
Administer and support KeyDB, ClickHouse and Kafka.
Configure and maintain infrastructure services such as Nginx, Jenkins, GitLab CI, DataHub, Allure and Airflow.
Automate infrastructure and operational tasks using Ansible, as well as scripting with Python, Bash and other languages.
Work with Docker and Kubernetes environments, including application deployments using Helm.
Monitor production systems, troubleshoot incidents and improve system performance and reliability.
Build and maintain CI/CD pipelines, working with tools such as GitLab CI and Jenkins.
Work with OpenStack and AWS infrastructure.
Support development teams with infrastructure-related issues and their working environments.
Work closely with the Infrastructure team to troubleshoot issues and coordinate infrastructure changes, including new hardware provisioning.
Contribute to security practices and PCI DSS requirements.
Requirements
3+ years of hands-on experience administering Linux servers in production environments.
Strong practical knowledge of Linux internals, networking, system services and troubleshooting.
Experience administering PostgreSQL and/or Greenplum.
Experience with containerization and orchestration technologies, including Docker and Kubernetes.
Hands-on experience with Ansible for infrastructure automation.
Good scripting skills with Python and/or Bash.
Hands-on experience with CI/CD, particularly GitLab CI and/or Jenkins.
Experience with monitoring, logging and system profiling, particularly Prometheus and Grafana.
Fluent Russian (C2 or higher) for communication with the team.
English B1+ for technical documentation and written communication.
Nice to have
DBA experience, including hands-on administration of databases and data infrastructure.
Experience with Patroni.
Experience supporting high-load or distributed production systems.
Experience with AWS and OpenStack.
Experience with PCI DSS.
Experience reading and/or writing code in PHP/Go.
Experience with Ceph.
Experience with fintech/trading.
We offer
Full-time remote work (service provider contract).
Competitive compensation (EUR).
Flexible working hours.
Corporate AI subscriptions (Claude, Gemini, GPT, etc.).
Access to a rewards marketplace offering products and language courses, redeemable using the company’s internal currency.
A strong team of engineers.
Positive and friendly atmosphere.
With a team of 500+ creative and tech-driven people across the globe, Quadcode is the place where ideas turn into impact, where every project is a chance to grow, innovate, and make your mark.
Join us today, and let's shape the future of fintech together!
Note: All applications will be treated with strict confidence. We thank all applicants for their interest, however, only those candidates selected for interviews will be contacted.
#LI-JM1
leadNetherlands
We offer a generous relocation package and home search support if you are not already located in Berlin
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