Location: Global
We are the creators of a new fintech era!
Our mission is to change this world by making blockchain accessible to everyone in everyday life. WhiteBIT is a global team of over 1,200 professionals united by one mission — to shape the new world order in the Web3 era. Each of our employees is fully engaged in this transformative journey.
We work on our blockchain platform, providing maximum transparency and security for more than 8 million users worldwide. Our breakthrough solutions, incredible speed of adaptation to market challenges, and technological superiority are the strengths that take us beyond ordinary companies. Our official partners include the National Football Team of Ukraine, FC Barcelona, Lifecell, FACEIT and VISA.
The future of Web3 starts with you: Join us as an General QA engineer!
Requirements
Education & Experience
Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related STEM field.
3+ years of experience in QA Engineering or Software Testing in a high-throughput or low-latency environment.
Experience with quantitative systems, HFT, trading platforms, or financial applications is highly preferred.
Core Technical Skills
Strong knowledge of software testing methodologies, SDLC best practices, and quality assurance processes.
Experience testing REST APIs and WebSocket-based services.
Proficiency in SQL for data validation, troubleshooting, and debugging.
Experience with API testing tools such as Postman.
Hands-on experience with monitoring and observability tools such as Grafana, Prometheus, or Kibana.
Confident working knowledge of Linux command-line tools, logs, system utilities, and process monitoring.
Experience working with Docker.
Proficiency in scripting or programming languages such as Python or Java.
Experience with test automation frameworks and libraries such as Pytest, Selenium, or Pandas.
Familiarity with version control systems and CI/CD workflows.
Experience with automated testing, continuous integration, and deployment processes.
Trading & Quantitative Systems Knowledge
Understanding of market microstructure and trading products, including spot, futures, and swaps.
Familiarity with low-latency and high-frequency trading systems.
Strong understanding of mathematics, statistics, and numerical methods relevant to quantitative trading.
Ability to reason through quantitative problems and collaborate effectively with researchers, developers, and analysts.
Analytical & Problem-Solving Skills
Strong analytical and problem-solving skills.
Ability to independently investigate and solve complex technical issues.
Strong focus on quality, reliability, and system performance.
Experience working with complex distributed systems is an advantage.
Mindset & Soft Skills
Strong interest in technology, quantitative finance, and continuous learning.
Team-oriented mindset with strong communication and collaboration skills.
High level of ownership, reliability, and attention to detail.
Predictable availability to support stable operation of production trading systems when required.
Responsibilities
As a QA Engineer, you will be part of a high-performance team responsible for developing and maintaining low-latency infrastructure, HFT and quantitative systems, and real-time risk management tools. You will work closely with developers, analysts, researchers, and system engineers to ensure system reliability, scalability, performance, and quality.
Key Responsibilities:
Design, develop, and execute comprehensive test plans for trading infrastructure and internal tools.
Build and maintain automated test suites for real-time quantitative systems and APIs.
Ensure adequate test coverage for low-latency, high-availability, and scalable systems.
Collaborate with developers and analysts to clarify requirements, identify edge cases, and align testing with business and technical objectives.
Investigate, reproduce, and debug issues in complex distributed systems.
Contribute to performance testing, latency benchmarking, and system monitoring.
Support CI/CD pipelines through automated testing strategies.
Maintain high standards of test documentation and test coverage.
Working terms
Immerse yourself in Crypto & Web3:Master cutting-edge technologies and become an expert in the most innovative industry.
Master cutting-edge technologies and become an expert in the most innovative industry.
Work with the Fintech of the Future:
Develop your skills in digital finance and shape the global market.
Take Your Professionalism to the Next Level:
Gain unique experience and be part of global transformations.
Drive Innovations:
Influence the industry and contribute to groundbreaking solutions.
Join a Strong Team:
Collaborate with top experts worldwide and grow alongside the best.
Work-Life Balance & Well-being:
Modern equipment.
Comfortable working conditions, and an inspiring environment to help you thrive.
24 calendar days of paid leave.
Additional days off for national holidays.
With us, you’ll dive into the world of unique blockchain technologies, reshape the crypto landscape, and become an innovator in your field. If you’re ready to take on challenges and join our dynamic team, apply now and start a new chapter in your career!
Let’s Build the Future Together!
WhiteBIT offers all candidates an equal opportunity to join the team. All hiring decisions are made without regard to race, national origin, gender identity or sexual orientation, age, religion, disability, medical condition, marital status, familial status, veteran status, or any other legally protected characteristic of an individual.
Location: Global, EU
We are the creators of a new fintech era!
Our mission is to change this world by making blockchain accessible to everyone in everyday life. WhiteBIT is a global team of over 1,200 professionals united by one mission — to shape the new world order in the Web3 era. Each of our employees is fully engaged in this transformative journey.
We work on our blockchain platform, providing maximum transparency and security for more than 8 million users worldwide. Our breakthrough solutions, incredible speed of adaptation to market challenges, and technological superiority are the strengths that take us beyond ordinary companies. Our official partners include the National Football Team of Ukraine, FC Barcelona, Lifecell, FACEIT and VISA.
The future of Web3 starts with you: join us as a !
Requirements
We're looking for a Senio/Staff-level engineer with an open mind and a builder's instinct - someone who goes beyond executing tasks and is ready to own the High-Performance practice end-to-end: establish engineering processes, drive R&D, evaluate and champion new technologies, and lead their adoption in production.
The ideal candidate can bridge the gap between business requirements for low latency and high throughput and the realities of existing infrastructure - translating "we need to be faster" into an actionable technical roadmap. You bring a fresh perspective, know how to organize the work, and are equally comfortable optimizing a hardware parameter and presenting a strategy to stakeholders.
We expect 5+ years of hands-on experience as a DevOps/SRE/Systems Engineer in performance-critical environments - and the maturity to grow yourself and grow a team around you.
Linux:
Advanced administration and OS-level tuning — real-time OS configurations, cgroups, CPU isolation, memory management, and low-level network stack configuration.
Hardware Internals:
Deep understanding of CPU power and performance states (C/P-states), Hyper-Threading / SMT trade-offs, TX/RX ring configuration, and the full data path from NIC through PCIe to memory and CPU. Ability to reason about and tune each stage of that path under production load.
Networking & TCP Internals:
Deep knowledge of TCP/IP — congestion control, ACK behavior, buffer tuning, and protocol-level latency sources. Strong Linux networking fundamentals: low-latency NIC configuration, bypass networking technologies (DPDK, RDMA), and market connectivity (multicast feeds, co-location networks, VPNs).
Performance Engineering:
Practical experience profiling latency-sensitive systems; familiarity with tools such as perf, flamegraph, strace, tcpdump, eBPF, and hardware performance counters.
Containerization:
Deep knowledge of Docker and Kubernetes, including low-overhead deployment patterns and performance trade-offs of containerized workloads.
IaC:
Proven track record with Ansible, Terraform, and Helm in production environments.
Monitoring:
Hands-on experience with the Prometheus / Grafana stack; ability to build latency-aware dashboards and alerting (P99, jitter, throughput KPIs).
Scripting:
Solid scripting in Bash and Python; Golang is a strong plus given its role in systems tooling.
CI/CD & Secret Management:
Strong grasp of CI/CD pipelines with experience integrating performance validation stages; familiarity with Vault for secrets management.
Security:
Understanding of DevSecOps principles and Kubernetes security policies.
Key Performance Metrics You'll Work With
Latency Distribution
- P99 / P99.9 across the tick-to-trade path, using hardware-level timestamps (NIC/PTP).
Jitter
- variance between min/max latency, measured over large sample sets in live market conditions.
Throughput
- messages per second (orders + cancels) under exchange burst scenarios.
System Reliability
- сontinuous monitoring of uptime
Extra Credit / Big Pluses
Hands-on experience with kernel-level optimization: syscall reduction, network stack bypass (DPDK, RDMA, Solarflare OpenOnload).
Background in HFT, algorithmic trading, or other ultra-low-latency production environments.
Experience with hardware timestamping, PTP/IEEE 1588, and precision time synchronization.
Familiarity with colocation operations and exchange connectivity (cross-connects, proximity hosting).
Proven SRE track record with formal SLO/error budget frameworks in latency-sensitive contexts.
DevSecOps: vulnerability scanning, Zero Trust, RBAC, and secure delivery pipelines.
Understanding of business processes in FinTech, crypto, or electronic trading.
Responsibilities
Low-Latency Infrastructure Ownership:
Design, deploy, and continuously optimize infrastructure for latency-sensitive trading systems — market data handlers, order/deal gateways, and risk check engines. Own the full stack from bare metal to application delivery. Define and maintain a reference architecture for low-latency connectivity when onboarding new trading venues, including reproducible configuration baselines, validation procedures, and performance acceptance criteria — so every new venue goes live on a proven, optimized stack.
Cloud & Hybrid Network Connectivity:
Design, implement, and maintain complex low-latency network solutions for cloud provider interconnects - including cross-connects and Direct Connect / ExpressRoute links between cloud regions, hybrid on-premise/cloud topologies, and high-throughput inter-server fabrics. Ensure both latency minimization and fault tolerance at every layer: physical redundancy, failover routing, and path diversity across providers and regions.
Hardware & OS Stack Tuning:
Go deep on the full hardware and OS stack - CPU pinning, C/P-states, HT/SMT configuration, NUMA topology, IRQ affinity, TX/RX ring sizing, NIC offloading, and network stack bypass (DPDK/RDMA where applicable). Understand the complete data path from NIC through PCIe to memory and CPU - and optimize every hop.
Infrastructure as Code (IaC):
Automate provisioning and configuration of high-performance environments using Ansible, Terraform, and Helm - with performance reproducibility as a first-class requirement.
Latency Profiling & Benchmarking:
Systematically profile and debug latency hotspots across the full execution path. Establish and maintain SLA/SLO targets; track P99/P99.9 distributions, jitter, and throughput - not just averages.
CI/CD for Performance:
Build and maintain CI/CD pipelines that include automated latency regression testing, so performance degradations are caught before they hit production.
Monitoring & Observability:
Design and operate comprehensive latency monitoring and alerting systems (Prometheus, VictoriaMetrics, Grafana) - including hardware timestamping (NIC/PTP) and fine-grained performance telemetry.
Colocation & Network Placement:
Research, evaluate, and manage optimal server placements - colocations, cross-connects, proximity hosting. Work closely with network and infrastructure teams to minimize physical and logical distance to exchanges.
High Availability & DRP:
Design systems that maintain stability and reliability under peak load while continuously pushing latency lower - zero regressions, always.
Cross-Team Collaboration:
Work alongside algo developers, quant teams, and network engineers to ensure trading strategies execute with minimal infrastructure overhead.
Working terms
Immerse yourself in Crypto & Web3:
Master cutting-edge technologies and become an expert in the most innovative industry.
Work with the Fintech of the Future:
Develop your skills in digital finance and shape the global market.
Take Your Professionalism to the Next Level:
Gain unique experience and be part of global transformations.
Drive Innovations:
Influence the industry and contribute to groundbreaking solutions.
Join a Strong Team:
Collaborate with top experts worldwide and grow alongside the best.
Work-Life Balance & Well-being:
Modern equipment.
Comfortable working conditions, and an inspiring environment to help you thrive.
24 calendar days of paid leave.
Additional days off for national holidays.
With us, you’ll dive into the world of unique blockchain technologies, reshape the crypto landscape, and become an innovator in your field. If you’re ready to take on challenges and join our dynamic team, apply now and start a new chapter in your career!
Let’s Build the Future Together!
WhiteBIT offers all candidates an equal opportunity to join the team. All hiring decisions are made without regard to race, national origin, gender identity or sexual orientation, age, religion, disability, medical condition, marital status, familial status, veteran status, or any other legally protected characteristic of an individual.
Location: Global, EU
We are the creators of a new fintech era!
Our mission is to change this world by making blockchain accessible to everyone in everyday life. WhiteBIT is a global team of over 1,200 professionals united by one mission — to shape the new world order in the Web3 era. Each of our employees is fully engaged in this transformative journey.
We work on our blockchain platform, providing maximum transparency and security for more than 8 million users worldwide. Our breakthrough solutions, incredible speed of adaptation to market challenges, and technological superiority are the strengths that take us beyond ordinary companies. Our official partners include the National Football Team of Ukraine, FC Barcelona, Lifecell, FACEIT and VISA.
The future of Web3 starts with you: join us as a Senior DevOps!
Requirements
We're looking for candidates with 5+ years of hands-on experience as a DevOps / SRE and deep expertise in the following technologies:
Linux:
Advanced administration and OS-level tuning — real-time kernels, process scheduling, memory management, cgroups, CPU isolation, and I/O optimization.
Cloud platforms:
Understanding of and experience in building complex systems focused on high availability (HA), low latency and high-performance computing (HPC)
Networking:
Deep understanding of TCP/IP, UDP, multicast, Ethernet, VLANs, and PTP at the wire level. Experience with low-latency network configurations and familiarity with kernel bypass technologies (DPDK, RDMA) is a strong plus.
Containerization:
Deep-dive knowledge of Docker and Kubernetes, including performance trade-offs of containerized workloads and low-overhead deployment patterns.
IaC:
Proven experience with Ansible, Terraform, and Helm in production environments.
Hardware Performance:
Working knowledge of how CPUs, NIC queues, memory, and storage behave under pressure. Hands-on experience with hardware tuning (BIOS configs, CPU isolation strategies, NIC queue management).
Monitoring:
Practical experience with the Prometheus / Grafana stack; ability to build latency-aware dashboards and fire meaningful alerts rather than noise.
Scripting:
Proven track record writing production scripts in Bash and Python. Golang is a significant plus.
CI/CD:
Strong grasp of core CI/CD tools and experience with secret management using Vault.
Security: Understanding of DevSecOps principles and hands-on experience configuring security policies in Kubernetes (Zero Trust, RBAC, secure code delivery).
Databases:
Solid working knowledge of SQL and/or NoSQL databases under operational conditions.
On-Call & Incident Response:
High sense of ownership for production systems — willing to participate in on-call rotations and available to respond to critical incidents outside business hours when the situation demands.
Extra Credit / Big Pluses
Linux: Deep-dive into kernel-level optimization — from syscalls and network card tuning to DPDK or FPGA-based networking.
Proven experience operating High Availability / Ultra-Low Latency solutions in live trading environments.
Experience with hybrid infrastructures (on-premise + cloud) — colocations, cross-connects, and proximity hosting.
Background in building and operating Big Data and Data Analytics platforms.
Understanding of business processes in the FinTech / Banking / Crypto / HFT sector.
Proven track record as an SRE with formal SLO / error budget frameworks.
DevSecOps: Vulnerability detection, enforcing security best practices, and experience with scanning tools (Trivy or Snyk).
Blockchain / crypto-native background is a bonus.
Responsibilities
Hybrid Infrastructure (Baremetal and Clouds):
Administer Linux servers (Ubuntu, CentOS, RHEL), drive incident resolution, and take end-to-end ownership of system reliability.
Low-Latency Systems Operations:
Proactively monitor, troubleshoot, and tune latency-sensitive trading systems and exchange connections across multiple asset classes. You treat P99 latency as a first-class metric.
OS & Hardware Tuning:
Go deep on the Linux stack — CPU pinning, NUMA topology, IRQ affinity, kernel parameter tuning, NIC offloading, and BIOS-level configurations. If it affects the tick-to-trade path, you own it.
Infrastructure as Code (IaC):
Automate deployment and configuration using Ansible, Terraform, and Helm with performance reproducibility as a hard requirement.
CI/CD:
Build and maintain rock-solid CI/CD pipelines (GitLab CI, Jenkins, ArgoCD) including automated performance regression checks.
Monitoring & Observability:
Design and operate comprehensive monitoring and logging stacks (Prometheus, VictoriaMetrics, Grafana, ELK). Build latency-aware dashboards and alerting — P99/P99.9, jitter, throughput, and error rates.
High Availability & DRP:
Design and implement architectures adhering to HA, scalability, and Disaster Recovery principles — zero regressions while continuously reducing latency.
Cross-Team Collaboration:
Partner with quant, trading, and network engineering teams to squeeze every drop of performance from the full stack — from hardware up to application logic.
Working terms
Immerse yourself in Crypto & Web3:
Master cutting-edge technologies and become an expert in the most innovative industry.
Work with the Fintech of the Future:
Develop your skills in digital finance and shape the global market.
Take Your Professionalism to the Next Level:
Gain unique experience and be part of global transformations.
Drive Innovations:
Influence the industry and contribute to groundbreaking solutions.
Join a Strong Team:
Collaborate with top experts worldwide and grow alongside the best.
Work-Life Balance & Well-being:
Modern equipment.
Comfortable working conditions, and an inspiring environment to help you thrive.
24 calendar days of paid leave.
Additional days off for national holidays.
With us, you’ll dive into the world of unique blockchain technologies, reshape the crypto landscape, and become an innovator in your field. If you’re ready to take on challenges and join our dynamic team, apply now and start a new chapter in your career!
Let’s Build the Future Together!
WhiteBIT offers all candidates an equal opportunity to join the team. All hiring decisions are made without regard to race, national origin, gender identity or sexual orientation, age, religion, disability, medical condition, marital status, familial status, veteran status, or any other legally protected characteristic of an individual.
About Airship: Airship is a technology company providing a platform for managing omnichannel customer experience, trusted by leading brands like Alaska Airlines, BBC, and The Home Depot. Their platform enables seamless, unified customer experiences across multiple channels including apps, websites, email, SMS, and wallets, using a no-code, AI-powered system designed for non-technical teams.
About the Role: As a Backend Java Engineer, you will design, develop, and support distributed systems that combine scale with high reliability. You will work on low-latency services processing continuous event streams and supporting analytical workloads across terabytes of data. The backend infrastructure runs on Google Cloud Platform, using Java-based microservices and SQL and NoSQL databases. You will join a core engineering team shaping Airship’s technical foundations and engineering practices.
Tasks:
— Design data schemas and take ownership of data semantics
— Maintain, improve, and scale Java APIs and distributed services
— Investigate performance issues using server metrics, application data, and system behavior
— Improve reliability, testability, and maintainability of backend systems
— Partner with product and engineering teams on technical design and implementation
— Help define technical standards across teams
— Lead and own large-scale releases and technical projects
— Use AI as a technical assistant to draft development plans and investigate problems or bugs
— Critically assess AI-generated suggestions for accuracy, security, and suitability
Requirements:
— At least three years of experience designing, operating, and maintaining distributed systems
— Professional fluency in spoken and written French (required)
— Strong Java development skills
— Experience with unit testing, code reviews, documentation, and Git-based version control
— Experience leading significant releases or technical projects
— Familiarity with continuous integration and continuous delivery practices
— Strong written and verbal communication skills
— Collaborative and pragmatic approach to software development
— Commitment to building reliable, maintainable, and testable systems
Preferred:
— Experience troubleshooting and improving JVM performance
— Experience with Google Cloud Platform
— Knowledge of distributed NoSQL databases or key-value stores
— Strong Linux administration fundamentals
Work Location & Travel Requirements:
— Remote work allowed, specifically candidates must live in France or the United Kingdom and have the existing right to work there
— Up to 10% travel may be required based on business needs or manager requests
Compensation:
— Starting pay varies based on skills, experience, market demands, and location
— All offers include stock options
Benefits & Perks:
— Medical insurance options for employees and dependents
— Flexible time off, paid holidays, parental leave, and volunteer time off
— Employer-subsidized mental health and wellness programs
— Digital-first work environment with monthly stipend for remote work
— Mentorship and growth opportunities
AI in Recruiting:
— AI tools are used as decision-support only
— Human review of AI-generated recommendations is conducted
— No applicant is rejected solely based on AI output
— Candidates may request human review or opt out of AI evaluation
Hiring Commitment:
— Airship is committed to diversity and equal employment opportunities
— Employment decisions are made irrespective of protected characteristics
— Fair Chance laws compliance for applicants with criminal histories
Candidates affirm the truthfulness of their application and understand that false information may lead to dismissal.
Location: US: Washington Remote Worker; US: San Mateo (1875 South Grant Street)
Workplace: Hybrid
ABOUT THE ROLE
Millions of small businesses and their advisors use Xero reports and insights to decide what to do next. AI is changing how people understand their finances faster than any shift since the cloud, and Reporting & Insights is where Xero meets that change. Over the next few years we’re evolving reporting and insights for the agentic era, where customers ask an AI about their numbers as often as they open a Balance Sheet. As the senior technical leader for Reporting & Insights, you’ll set the multi-year technical direction, from the reports businesses file to the insights that tell them what to do next. You’ll also help hire the first Reporting & Insights engineers in Vancouver and decide how they work.
THE TECHNICAL CHALLENGES
Set a 3-year architecture across Reporting & Insights. Reporting and Xero Analytics run on a mix of modern services and systems that have grown with Xero over many years. You’ll define one target state across both, decide how they build on Xero’s data platform, and secure the investment to get there. You’ll design for high throughput, low latency and resilience, so reporting and insights scale with Xero’s largest and most complex customers.
Evolve the platform without breaking trust. Accountants file tax returns from these numbers, so correctness comes first. You’ll lead the evolution of the data foundations behind about 150 reports, sequenced across teams and organisational boundaries. Customers keep the numbers they trust, on foundations built for what comes next.
Make reporting and insights AI-native. AI changes what reporting and insights can be: answers to plain-language questions, insights that reach customers where they work, and analysis that once took an accountant hours. Every answer still has to reconcile to the ledger. You’ll define the foundations: how agents query financial data safely, how answers stay grounded and explainable, and how we prove correctness at scale. We want teams across Xero to build on what you create.
IMPACT
In your first six months you’ll own the Reporting & Insights architecture and set a direction for the data platform and the evolution of both products that engineering, Product and leadership back.
At twelve months you will have:
- Set a multi-year technical strategy for Reporting & Insights
- Delivered new foundations for the first major report families, setting Reporting & Insights up for its next phase of growth
- Opened Reporting & Insights to bigger businesses, with performance that scales to our largest customers
- Put shared foundations for AI-native reporting and insights into production
- Grown the Lead and Senior Engineers around you and raised the technical bar across the group
Beyond year one, you’ll shape where Reporting & Insights goes next, and help steer Xero’s wider data and AI direction alongside the leadership team.
OWNERSHIP
You’re the senior technical voice for Reporting & Insights. You own the multi-year technical strategy and target architecture, and you make the calls that cross team and domain boundaries. You shape the roadmap with the GM and Product, decide where we invest in foundational capabilities, and align teams across regions behind one direction. You stay hands-on where it counts: reference implementations, foundational frameworks and the hardest architecture problems
WHO YOU’LL WORK WITH
You’ll report to the GM of Engineering. You’ll partner with the engineering managers and teams across Reporting & Insights, who know these products and their data in depth. You’ll shape the product and AI roadmap with the Reporting & Insights Product leads. You’ll also work with Principal Engineers and platform teams across Xero, including the accounting core and data platform teams that own systems we depend on.
WHAT YOU BRING
Must-have:
- You’ve set technical strategy for a domain or portfolio over a 2 to 3 year horizon, and aligned multiple teams behind it.
- You’ve led the evolution of a large, high-traffic, correctness-critical system across organisational boundaries.
- You have depth in high-throughput, low-latency, resilient distributed systems and data-heavy architecture, and you still contribute hands-on where it matters.
- You connect external shifts, AI above all, to product and architecture strategy, and you know where LLMs and agents belong in a system.
- You grow leaders. You’ve mentored Lead and Senior Engineers into bigger roles, and your writing turns complex direction into decisions people act on.
Nice to have:
- Financial, reporting or analytics domain experience
- LLM or agent-based features in production
- .NET and AWS
- A presence in the wider tech community through talks, writing or open source
HOW WE WORK
We’re bold in our vision and pragmatic in execution, delivering useful improvements along the way rather than waiting for a large rewrite. We invest in AI to learn faster and focus effort on higher-value problems, while engineers stay accountable for what they ship. We use shared frameworks to avoid reinvention, leaving teams room to innovate. Engineers own their work, including quality, reliability, and on-call. Leaders set context and priorities, and engineers help shape the solutions.
WHERE WE WORK
We offer a hybrid model that blends the flexibility of working from home with the collaboration of the office, including designated boost days in our modern office spaces. This role is open to hybrid candidates in Vancouver, British Columbia, or San Mateo, California. We also welcome applications from candidates across Canada interested in relocating to Vancouver, and from remote candidates in Seattle, Washington.
OUR HIRING PROCESS
1. TX phone screen (45 minutes): a conversation with your Talent Specialist about your background, motivations and the role.
2. Technical assessments: a coding assessment and a systems design assessment, run through an independent third-party provider and based on real-world scenarios.
3. Technical deep dive (45–60 minutes): with a Principal Engineer and the hiring team. You'll walk through a past project you led, covering how you thought about it, executed it and led through its complexity.
4. Values / Future Proof Xero (45 minutes): how you show up day to day, aligned with Xero's values and capabilities such as adaptability, ownership, customer thinking and AI fluency.
5. LEADership (45–60 minutes): real examples of how you lead, influence and deliver in ambiguous, fast-changing environments, assessed against Xero's leadership principles
COMPENSATION & TOTAL REWARDS
At Xero, we value the impact and skills you bring to the team. We don’t just hire for a role; we invest in people. We believe in a Total Package philosophy - which means your value isn't just a single number on a paycheque. While base salary is a core component, we look at your compensation through a holistic lens that includes equity, performance incentives, and world-class benefits.
The expected base salary range for this role in:
- Washington, WA & San Mateo, CA: $287,000 - $320,000 USD
Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role.
In addition to base pay, Xero’s roles are eligible for the following forms of variable compensation:
- Variable Pay: Permanent employees are eligible to participate in our annual bonus and equity (RSU) programs. You may also be eligible for performance-based cash or equity (RSUs) incentives depending on your role level, and company performance.
- Comprehensive Benefits: Medical, dental, vision, 401(k) match, and 21 days PTO, 10 days of Wellbeing leave, 5 days of Xtra Leave, 1 volunteer day, 12 paid holidays, paid parental leave. Further information included on our Xero Perks https://careers.xero.com/inside-xero/benefits-wellbeing/ page
Xero uses AI to help screen applications based on job-related qualifications. These tools assist our recruiters but do not make automated hiring decisions. A human recruiter reviews all candidates before any hiring action is taken.
Ability to build libraries and frameworks of reusable efficient code. Competence in designing and implementing low-latency, stable and performing applications.
Location: United States, Remote
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Staff Software Engineer – Data
Do you want to join a team of talented engineers building the next generation of real-time data platforms that power analytics and data-driven experiences across PlayStation? As part of our Data Platform team, you will play a key technical leadership role in designing and evolving the Real-Time Analytics Platform (RTAP), enabling high-throughput, low-latency analytics and stream processing at PlayStation scale.
The Software Engineers within our Platform Engineering Group design, build, document, and operate large-scale distributed data platforms that support real-time and near real-time analytics across PlayStation. You will solve complex distributed systems challenges, evolve our streaming and analytics architecture, integrate AI-powered platform capabilities, and improve scalability, reliability, performance, and developer productivity.
We’re looking for someone who is passionate about distributed systems, real-time analytics, and building scalable data platforms. You will work closely with Engineering, Product, Infrastructure, Security, and Data Engineering teams to shape technical strategy, influence architecture across organizations, mentor engineers, and help drive the long-term evolution of PlayStation’s data platform.
Responsibilities
·
Design, build, and operate large-scale distributed data systems that power real-time and near real-time analytics,, and data-driven applications across PlayStation.
·
Lead the architecture and evolution of RTAP’s stream processing and analytics platforms, improving scalability, reliability, performance, and developer productivity.
·
Own critical platform capabilities end-to-end from architecture and implementation through production operations, performance optimization, reliability, and lifecycle management.
·
Build and optimize distributed data services using technologies such as Apache Flink, Spark Structured Streaming, ClickHouse, and Apache Druid to support high-throughput, low-latency workloads.
·
Partner with Data Engineering teams to integrate batch and streaming workloads using modern lakehouse architectures and build interoperable, scalable data platforms.
·
Build AI-powered capabilities to automate engineering workflows, improve data quality, simplify platform operations, accelerate troubleshooting, and enhance developer productivity.
·
Establish technical standards and engineering best practices for distributed systems, stream processing, data modeling, query optimization and platform reliability.
·
Mentor engineers across the organization by reviewing architecture, designs, and code while raising the technical bar through coaching and technical leadership.
·
Partner with Product, Infrastructure, Security, and Platform Engineering teams to define long-term technical strategy and deliver scalable platform capabilities aligned with business priorities.
·
Investigate and resolve complex production challenges involving high-throughput, low-latency distributed systems, ensuring high availability and operational excellence.
·
Participate in the team's production support and on-call rotation, leading incident response, conducting root-cause analysis, and implementing reliability improvements that strengthen the platform over time
·
Evaluate emerging technologies and distributed data platforms, recommending investments that improve scalability, reliability, developer productivity, and cost efficiency.
Requirements
·
Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
·
8+ years of experience designing and building large-scale distributed systems, with expertise in real-time data processing, analytics, or data platform engineering.
·
Strong proficiency in
Python
, with experience building production-grade distributed systems and data processing applications. Experience with
Scala
is beneficial for supporting and evolving existing platform components.
·
Hands-on expertise designing and operating large-scale stream processing applications using
Apache Flink
,
Apache Spark Structured Streaming
, or equivalent distributed streaming technologies.
·
Production experience designing, operating, and optimizing distributed analytics platforms using
ClickHouse
,
Apache Druid
, or equivalent high-performance OLAP/analytics databases, including query optimization, data modeling, and performance tuning at scale.
·
Experience building and consuming event-driven data pipelines using
AWS MSK
,
Apache Kafka
, or equivalent messaging platforms, with a focus on developing reliable, scalable data processing applications.
·
Experience applying
AI/ML techniques and modern AI tooling
to automate engineering workflows, improve data pipelines, simplify platform operations, and enhance developer productivity.
·
Strong systems design skills with the ability to evaluate architectural trade-offs across scalability, latency, throughput, consistency, reliability, and cost.
·
Demonstrated technical leadership through architecture ownership, mentoring engineers, and influencing technical decisions across multiple teams.
Nice to Have
·
Experience with
Databricks
,
Apache Iceberg
, or modern lakehouse architectures, with the ability to design and integrate batch and streaming workloads into scalable, production-grade data platforms.
·
Experience building or operating
multi-tenant, self-service data platforms
supporting multiple engineering organizations.
·
Experience collaborating with globally distributed engineering teams across multiple organizations and time zones to deliver shared platform capabilities and drive technical alignment.
Your First 90 Days
30 Days:
Develop a strong understanding of the platform’s architecture, capabilities, engineering practices, and roadmap.Begin contributing to architecture discussions, feature development, design reviews, and production support.Build relationships within the team as well as across the Data Platform organization.
60 Days:
Take technical ownership of a major platform capability or architectural area.
Identify opportunities to improve scalability, performance, reliability, or developer productivity.Collaborate with Data Engineering, Infrastructure, Product, and other partner teams on cross-platform initiatives.
90 Days:
Lead the design and delivery of key roadmap initiatives for the team..Influence technical direction across teams and mentor engineers on distributed systems and platform engineering best practices.Establish clear architectural recommendations for the next phase of the platform’s evolution.
In 90 days, you will have a detailed understanding of the
Real-Time Analytics Platform
and its role within PlayStation’s broader data ecosystem. You will be comfortable owning complex distributed systems initiatives, partnering closely with Product and Engineering teams, and driving large-scale solutions from architecture through production delivery.
At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role
is eligible
for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products.
This role also may be eligible for a bonus package.
Click
here
to learn more.
The estimated base pay range for this role is listed below.
$198,200
—
$297,400 USD
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our
Candidate Privacy Notice
for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: New York
Workplace: OnSite
ABOUT US:
AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL.
Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.
Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
ABOUT THE ROLE:
We’re looking for a Head of IT to build and own the systems that enable everyone at Modal to work effectively and securely.
You’ll own our employee technology environment end-to-end, including identity and access, devices, internal systems, SaaS applications, and day-to-day IT operations. You’ll work closely with Security and Engineering to build an environment that is secure by default, easy to operate, and scales with the company.
This is initially a hands-on role. You’ll build systems, automate workflows, and solve problems directly. As Modal grows, you’ll define how the IT function should scale and eventually build a team around it.
WHAT YOU’LL WORK ON:
Identity & Access
- Own employee identity and access across internal systems and SaaS applications
- Build scalable onboarding, offboarding, and access lifecycle workflows
- Improve SSO, MFA, least privilege, and access management in partnership with Security
Devices & Endpoints
- Own the lifecycle and security of employee devices
- Build and maintain device management, configuration, patching, and endpoint security
- Automate provisioning and make onboarding as close to zero-touch as possible
Internal Systems & Automation
- Own and improve the SaaS applications and internal systems we depend on
- Build integrations and automate workflows across identity, HR, finance, and other business systems
- Evaluate and deploy new internal capabilities, including AI tools and integrations
- Use APIs, scripting, and internal tooling to solve problems that don’t fit neatly into off-the-shelf products
IT Operations
- Own employee support, hardware, asset management, procurement, and relevant vendor relationships
- Build reliable, maintainable processes rather than scale through manual work
- Identify recurring problems and solve them at the system level
Build the IT Function
- Define the technical direction and operating model for IT at Modal
- Establish the systems and processes we’ll need as the company grows
- Determine when and where additional IT capacity is needed, and build the team over time
YOU MAY BE A FIT IF:
- You’ve owned IT or corporate technology in a fast-growing technology company
- You have a strong understanding of identity, device management, SaaS administration, and endpoint security
- You have strong technical skills and are comfortable working with APIs, scripting, automation, and system integrations
- You’ve designed and automated employee lifecycle and access-management workflows
- You have good security judgment and experience working closely with Security and Engineering
- You can independently identify problems, make pragmatic technical decisions, and drive them through implementation
- You’re comfortable being hands-on today while building the systems and team needed as the company grows
Location: Stockholm
ABOUT US:
AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL.
Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.
Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
THE ROLE:
We are looking for strong engineers with experience and interest in designing, building, and maintaining the novel, high-performance systems that make up our serverless platform.
Specifically, you’ll be working on the distributed object storage system that underpins every container image, volume, and checkpoint on Modal: hundreds of petabytes of data, replicated across multiple cloud object stores and a CDN, cached on local NVMe across a large fleet of workers in many datacenters, and shared peer-to-peer within each datacenter.
You’ll make cold starts feel local when the data is hundreds of milliseconds away, designing the caching, preloading, and peer-to-peer layers that hide object-store latency and keep public ingress off saturated uplinks. You’ll own durability and cost at petabyte scale, from streaming and batch replication between origins to garbage collection over billions of objects. You’ll work across the stack, from local disk and page cache to distributed blob storage and garbage collection, and you’ll help shape what storage becomes next as we push storage closer to workloads.
WHAT YOU’LL WORK ON:
- Build P2P sharing of data across workers within a single datacenter to dramatically reduce ingress
- Replicate data across multiple blob storage providers
- Automate garbage collection across hundreds of petabytes of data
- Deploy colocated storage clusters to datacenters to accelerate high-throughput customer workloads
YOU MAY BE A FIT IF:
- You have 5+ years of experience writing high-quality production code
- You’ve built high-performance distributed storage or caching systems at a large scale (the more challenges you’ve worked through, the better)
- You have strong cloud skills, including deep familiarity with object storage (S3 or similar), CDNs, and their consistency, throughput, and cost characteristics
- You have strong knowledge of low-level operating system foundations (Linux kernel, file systems, page cache, containers, etc.)
- You’re willing to step into the thick of it with our on-call rotation and respond to production incidents
NICE-TO-HAVE:
- Experience with replication, content addressing, and consistency models in multi-region or multi-cloud systems
- Experience operating storage systems at scale (petabyte-scale datasets, high-throughput read/write paths, large-scale garbage collection or data migration)
- Experience with data engineering at petabyte scale
- Prior experience with Rust
Location: Canada, Vancouver, BC
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We are looking for an Firmware and Embedded Software Engineer to design and develop the real-time software systems that control our humanoid robots.
You will own the development of embedded software for critical robotic subsystems, including motion control, sensor interfaces, communication networks, and hardware abstraction layers that enable reliable and safe robotic operation.
This role requires strong fundamentals in embedded programming, distributed hard real-time systems, and hardware-software integration, along with experience building robust software for complex electromechanical systems.
You will collaborate closely with mechanical, electrical, and robotics engineers to rapidly prototype, test, and deploy embedded software that powers our robotic platforms.
Your work will directly influence the performance, reliability, and responsiveness of Humanoid’s robots.
WHAT MAKES THIS ROLE EXCITING
- Design and develop embedded systems that control humanoid robots in real time safely
- Solve challenging problems in low-latency motion control, distributed embedded networks, and high-reliability robotic systems with various communication protocols
- Work in a fast-moving hardware environment where software directly interacts with physical machines
- Collaborate with a multidisciplinary robotics team spanning mechanical, electrical, controls, and AI
- See your code deployed in real robots operating in real-world environments.
WHAT YOU’LL DO
- Develop and implement embedded software for robotic systems, emphasizing hard real-time performance and reliability as well as safety
- Integrate and optimize hardware and software components, including sensors, actuators, and communication modules
- Analyze and make recommendations on implementation paths with trade-offs
- Write and debug firmware for microcontrollers, FPGAs, ASICs, and SoCs
- Implement and manage communication protocols such as EtherCAT, CAN, UART, SPI, and I2C
- Collaborate closely with mechanical and electrical engineers to ensure seamless system integration
- Perform hardware testing, validation, and troubleshooting of embedded systems
- Analyze system constraints and resource limitations to optimize performance and efficiency
- Develop low-level drivers and interfaces for sensors, motors, and control electronics
- Maintain clear documentation of system architecture, code, and test results for traceability and maintainability
- Own embedded software components from concept through testing and deployment.
WE’RE LOOKING FOR
- 5+ years of professional experience developing embedded software or firmware for robotics, embedded systems, or real-time hardware platforms
- Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, Robotics, or a related field
- Strong proficiency in C and C++, with experience using Python for testing or tooling
- Solid understanding of embedded systems architecture and hardware-software interfaces
- Experience with real-time operating systems (RTOS)
- Experience working with communication protocols such as EtherNet, EtherCAT, CAN, SPI, UART, or I2C
- Experience integrating sensors, actuators, and motor control systems
- Familiarity with debugging tools such as oscilloscopes, logic analyzers, and in-circuit debuggers
- Strong analytical and problem-solving skills
- Ability to work effectively in a fast-paced multidisciplinary engineering environment.
BONUS QUALIFICATIONS
- Experience working with robotics frameworks such as ROS or ROS2
- Hands-on experience with FPGA or SoC development
- Experience developing distributed robotic control systems
- Familiarity with agile development methodologies
- Experience with EtherCAT-based motor drivers and real-time control networks
- Experience developing safety-critical or high-reliability embedded systems.
WHAT WE OFFER
- Comprehensive extended health benefits starting on your first day, including fully paid medical and dental, virtual care, employee and family assistance, and worldwide emergency medical support.
- Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays.
- Paid end-of-year shutdown: annual company-wide holiday closure spanning Christmas through New Year’s Day.
- Competitive equity: stock options with meaningful upside as we scale.
- Free daily catered lunch, snacks, and drinks in‑office.
- Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
- Freedom to influence the product and own key initiatives.
For this role in Vancouver, the expected base salary range is $140,000 – $180,000 CAD per year; your placement in that range depends on how your experience maps to our internal leveling.
Location: United Kingdom; Brazil; Ireland; Peru; Costa Rica; Latvia; Argentina; Romania; Cyprus; Portugal; Slovenia; South Africa; Czech Republic; Panama; Estonia; Canada; Hungary; Mexico; Poland; Spain; Bulgaria
Workplace: Remote
BUILDING THE FUTURE OF OPEN FINANCE
Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.
THE TEAM
Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.
The AI Infrastructure team builds and operates the production systems that power intelligent agents at scale. This team sits at the foundation of the agent platform, ensuring that model inference, orchestration, and execution layers are reliable, observable, and performant under real-world load.
Working closely with the Agent Systems team and broader infrastructure partners, this group owns the core primitives that enable agents to safely operate across internal systems. The environment is high-scale and high-stakes — systems serve millions of users and must meet strict reliability, latency, and correctness standards.
This is a deeply production-oriented team. Engineers here combine strong systems thinking with applied ML infrastructure experience, building in Rust and operating services where performance and failure modes matter.
THE OPPORTUNITY
- Design and build the infrastructure layer powering AI agent systems in production
- Develop high-performance Rust services that handle model inference, orchestration, and execution
- Architect scalable systems capable of supporting millions of users and high request throughput
- Build reliable ML infrastructure and MLOps patterns for model deployment, evaluation, and monitoring
- Define guardrails, observability, and failure handling for agent-driven workflows
- Optimize latency, throughput, and cost across inference and orchestration layers
- Partner closely with the Agent Systems team to translate experimental prototypes into hardened production systems
- Contribute to foundational infrastructure decisions in a high-scale, high-impact environment
WHAT YOU BRING
- 5+ years of experience building and operating high-scale production systems
- Strong proficiency in Rust and systems-level programming
- Deep understanding of distributed systems, reliability engineering, and performance optimization
- Experience operating services serving millions of users or high-throughput workloads
- Familiarity with ML infrastructure, model serving, or MLOps in production environments
- Experience designing observability, monitoring, and failure recovery systems
- Strong collaboration skills working across infrastructure and applied engineering teams
- High ownership mindset in high-stakes production environment
NICE TO HAVES
- Experience building infrastructure for agent-based or LLM-powered systems
- Background in high-performance networking, async systems, or low-latency architectures
- Experience with container orchestration and cloud-native infrastructure
- Familiarity with evaluation frameworks and model performance monitoring at scale
- Experience working in fast-moving 0→1 or platform-building teams
Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.
Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.
We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
OUR COMMITMENT
Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.
We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.
As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.
Stay connected
Follow us on Twitter https://twitter.com/krakenfx
Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address
Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/
Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice
Location: Thuwal, Saudi Arabia
This position is for building, deploying and evaluating Client's Arabic AI tutor for mathematics and computer science: preparing Arabic training data, fine-tuning, aligning and evaluating LLMs on Shaheen III and Ibex, and integrating the tutor into the learning platform for a pilot in at least 10 Saudi schools.
The position is part of the RDIA-funded project 5870, “An AI-Powered Arabic Tutoring Platform for STEM Education in the Kingdom.” Two engineers will be hired into this role.
Key Responsibilities
Prepare Arabic training datasets from educational materials and consented platform interactions.
Fine-tune, align, and evaluate commercial and open-source LLMs using Shaheen III and Ibex computing platforms.
Develop Arabic STEM benchmarks, preference-training methods, and student-safety guardrails.
Integrate AI tutoring capabilities into the learning platform, including Arabic right-to-left interfaces.
Deploy and optimize models for reliable, low-latency real-time interactions.
Support school pilot implementation, evaluation, and teacher feedback collection.
Ensure student data privacy and compliance with Saudi data protection requirements.
Contribute to research publications, technical reports, and project deliverables.
Qualifications & Experience
MSc in Computer Science, Artificial Intelligence, or a related field; alternatively, a BSc with at least one year of relevant experience.
Hands-on experience in LLM fine-tuning, evaluation, and AI application deployment.
Professional proficiency in Arabic and English.
Experience with RLHF/DPO, educational technology, or mathematics/programming education is preferred.
Technical Skills
Advanced Python and PyTorch.
Hugging Face Transformers, PEFT, and TRL.
Distributed GPU training using DeepSpeed or FSDP.
LLM evaluation, reward modeling, and preference optimization.
Arabic NLP, data pipelines, and OCR.
Model serving and inference optimization using tools such as vLLM.
APIs, Docker, Git, CI/CD, and production deployment.
Location: New York; San Francisco
Workplace: OnSite
ABOUT US:
AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL.
Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.
Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
ABOUT GTM ENGINEERING:
GTM Engineering is responsible for the data, business logic, workflows, and agents that enable our Marketing and Sales teams to help customers get the most out of Modal.
Like the infrastructure beneath the Magic Kingdom https://en.wikipedia.org/wiki/Disney_utilidor_system, much of our work happens behind the scenes. We build systems that anticipate and deliver what customers need to grow on Modal.
We bring a product management, growth engineering, and data science approach to GTM, from centralizing our data platform https://deepline.com/blog/gtm-ai-nyc-chris-modal to building agents for account research https://parallel.ai/blog/case-study-modal.
THE ROLE:
We’re looking for a GTM Engineer to own our GTM data platform. This role combines analytics engineering with revenue operations: you’ll build the org map, people graph, and data systems that help us discover future customers and support our GTM workflows, partnering closely with our Data team on the shared foundation.
WHAT YOU’LL WORK ON:
- Build and maintain an org map and people graph connecting companies, labs, teams, and individuals to identify researchers, engineers, and early-stage startups, including people beyond our existing users and CRM
- Own identity resolution, enrichment, and CRM schemas so affiliations, roles, and relationships stay accurate, current, and traceable to their sources
- Build GTM data models in Snowflake and dbt connecting people, companies, workspaces, workloads, usage, and revenue, giving reps and agents a shared foundation for customer context
- Partner with RevOps and Marketing to define and implement metrics, data models, and business rules for routing, territory assignments, compensation, pipeline reporting, and attribution
- Partner with Data on usage forecasts and account signals; build reproducible reporting that reconciles actuals, forecasts, human adjustments, and credited attainment
- Build reverse ETL pipelines for ad audiences, lifecycle campaigns, CRM enrichment, outbound, and event outreach, preserving engagement history and campaign eligibility
- Own data quality and system health, from graph coverage and stale enrichment to failed syncs and historical reporting accuracy
- Build the tooling that helps GTM Engineering ship reliably, from development environments, automated tests, and deployments to backups and shared AI agents and skills
YOU MAY BE A FIT IF:
- You’re fluent in SQL and proficient in Python
- You already use AI coding tools and agents to build, debug, and automate your work, and help teammates do the same
- You’ve built data models and production pipelines with tools like Snowflake, dbt, Modal, or Hex
- You have hands-on experience with CRM architecture, integrations, and revenue or marketing operations
- You understand how leads, accounts, opportunities, and revenue move through a business
- You have high attention to detail and a habit of testing, documenting, and monitoring the systems you build
NICE-TO-HAVE:
- Experience with usage-based businesses
Location: Brazil; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; Slovenia; Lithuania; South Africa; Czech Republic; Hungary; Mexico; Chile; Poland; Slovakia; Bulgaria
Workplace: Remote
BUILDING THE FUTURE OF OPEN FINANCE
Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.
The team
Founded in 2011, Kraken is one of the world’s longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.
The Pro team is responsible for everything to do with the trading backend services such as the matching engine, market data gateways, internal and external APIs, and various other trading services. The team is located globally and responsibilities are split into sub-teams, working with various tech stacks. Our teams code in Rust and C++ and work agile around the globe.
The Opportunity
- Design and implement robust Rust and C++ services and libraries that power trading, payments, and crypto experiences with a focus on reliability, performance, and user impact.
- Write reusable, testable, and highly efficient code that scales across teams and supports revenue-critical systems without compromising safety or security.
- Collaborate on large-scale distributed systems architecture, translating evolving product requirements into resilient, low-latency solutions.
- Work alongside hundreds of experienced Rust and C++ engineers, contributing to a high-performance, product-driven engineering culture.
What You Bring
- 3+ years of software engineering experience
- Experience building financial trading focused products
- Proficient in writing network services or asynchronous code in Rust
- Experience with modern C++, including performance-sensitive, low-latency systems
- Have a security-first mindset during system design to ensure robustness
- Demonstrate the ability to autonomously debug issues across the stack (OS, network, application)
- Apply a solid understanding of distributed systems and technologies, including RPC protocols, Kafka, and Event-Driven Systems, to design scalable solutions
- Collaborate effectively with product teams to gather requirements and constraints for designing appropriate systems
- Take complete end-to-end ownership of systems and libraries
Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.
Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.
We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
OUR COMMITMENT
Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.
We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.
As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.
Stay connected
Follow us on Twitter https://twitter.com/krakenfx
Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address
Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/
Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice
Location: Remote, Global
ABOUT THE ROLE
We are seeking a platform engineer to join our Compute team. This team owns the critical systems that power project provisioning, scaling, and the compute that our users rely on every day.
You’ll work on the core platform that ensures Supabase can seamlessly scale
across multiple regions, handle high-volume workloads, and provide
low-latency, highly available compute services.
You'll design, build, and operate systems that are both robust and highly
automated — enabling us to provision new projects reliably at scale,
optimize resource utilization, and deliver a seamless experience to the
millions of databases which we manage.
WHAT YOU’LL BE RESPONSIBLE FOR:
- Help build and maintain the Supabase Cloud offering;
- Design and implement systems to provision, scale, and manage the multi-region compute workloads powering Supabase projects;
- Own the full lifecycle of compute orchestration: project creation, warm pools, autoscaling, resizing, and resource optimization;
- Improve automation and observability across the compute stack to ensure high availability and performance;
- Improve our system architecture to reduce costs while balancing security, reliability, and performance;
- Collaborate cross-functionally with other teams to help leverage compute as a core platform offering;
- Participate in on-call rotations, incident response, and post-incident reviews;
- Resolve escalated support issues, while also identifying and resolving systemic issues across the platform.
YOU MIGHT BE A GOOD FIT IF YOU:
- Have strong software engineering skills (Go and Typescript required);
- Experience building and operating cloud infrastructure or distributed systems at scale;
- Have 5+ years experience with cloud infrastructure (AWS required, additional experience with GCP and Azure is a plus) - particularly compute, networking, and storage services;
- Have 3+ years experience working with building custom Kubernetes controllers, and operating large-scale (tens-to-hundreds of thousands of pods) clusters;
- Are knowledgable about networking and multi-region infrastructure design;
- Are familiar with Postgres;
- Have experience with Infrastructure as Code tools (Pulumi highly preferred, Terraform/CDK etc acceptable)
- Have experience working with QEMU, KVM, and NAS is a plus;
- Have experience with being part of on-call rotations for large production system;
WHAT WE OFFER
- Fully Remote
We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.
- ESOP
Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.
- Tech Allowance
Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.
- Health Benefits
Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.
- Annual Off-Sites
Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.
- Flexible Work
We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.
- Professional Development
Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.
ABOUT THE TEAM
Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.
- ~400 team members
- 60+ countries
- 20+ languages spoken
- Over $1B raised (including our $500M Series F)
- 540,000+ community members
We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.
Location: London, United Kingdom - Deliveroo
Our Global Structure
Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team.
About the team
Engineering the future of customer support — at global scale
🌍
We believe exceptional customer service is more than just a feature, it’s a fundamental part of who we are. That’s why we’ve built our own internal support tooling from the ground up, tailored to help our customer, courier, and merchant support teams shine in every interaction.
As we scale our operations from 30 to 60 countries, supporting millions of users and partners, our internal tools need to scale with us. The Support Engineering group is at the heart of this mission. We build high-performance admin applications and core operational tools that empower our support teams to work smarter and faster. A key part of this is our in-house chat platform, which already handles around 5 million conversations every month. On top of this foundation, we’re developing advanced features to reduce manual work, improve communication, and proactively resolve issues — often before our users even notice them.
Our systems range from automated reach-outs for delayed orders to deeply integrated tools that enable our support teams to deliver assistance quickly, reliably, and with a human touch. By removing inefficiencies and automating repetitive tasks, we’re ensuring that our users and partners receive world-class support at scale.
About the role
We’re now looking for a
Backend Engineer (Golang)
to join us in building scalable, low-latency systems that power these tools and shape the future of customer support. You’ll work on impactful products that directly influence how millions of people experience our platform every day.
What you'll be doing
Build and maintain high-throughput backend services using
Go
.
Collaborate with product managers, designers, and frontend developers to ship features that support internal support agents across the globe.
Design systems that are
scalable
,
resilient
, and easy to maintain.
Contribute to architectural discussions and technical decision-making.
Write well-tested code and help the team maintain high code quality standards.
Requirements
3+ years
of professional software engineering experience, with a proven track record of building and scaling complex systems.
Production experience in
Golang
, with an interest in developing strong engineering practices.
Strong hands-on experience with both
SQL and NoSQL databases
— especially Cassandra.
Solid understanding of designing and operating
low-latency, high-throughput distributed systems
.
Previous
on-call experience
, with a pragmatic approach to reliability and incident management.
Nice to have
Background in
Node.js
or other backend languages.
Familiarity with
cloud infrastructure
(AWS, GCP) and event-driven architectures.
Why Deliveroo
Our mission is to transform the way you shop and eat, bringing the neighbourhood to your door by connecting consumers, restaurants, shops and riders. We are transforming the way the world eats and shops by making access to food and products more convenient and enjoyable. We give people the opportunity to buy what they want, as they want it, when and where they want it.
We are a technology-driven company at the forefront of the most rapidly expanding industry in the world. We are still a small team, making a very large impact, looking to answer some of the most interesting questions out there. We move fast, value autonomy and ownership, and we are always looking for new ideas.
Workplace & Benefits
At Deliveroo we know that people are the heart of the business and we prioritise their welfare. Benefits differ by country, but we offer many benefits in areas including healthcare, well-being, parental leave, pensions, and generous annual leave allowances, including time off to support a charitable cause of your choice. Benefits are country-specific, please ask your recruiter for more information.
Diversity
At Deliveroo, we believe a great workplace is one that represents the world we live in and how beautifully diverse it can be. That means we have no judgement when it comes to any one of the things that make you who you are - your gender, race, sexuality, religion or a secret aversion to coriander. All you need is a passion for (most) food and a desire to be part of one of the fastest-growing businesses in a rapidly growing industry.
We are committed to diversity, equity and inclusion in all aspects of our hiring process. We recognise that some candidates may require adjustments to apply for a position or fairly participate in the interview process. If you require any adjustments, please don't hesitate to let us know. We will make every effort to provide the necessary adjustments to ensure you have an equitable opportunity to succeed.
Diversity, Equity and Inclusion
At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong.
We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief.
If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience.
If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you!
Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at
careersatdoordash.com/recruitment-scam-awareness
.
Location: London, United Kingdom - Deliveroo
Our Global Structure
Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team.
Your job is to make sure every payout and transaction lands with the right person.
We have spent years getting very good at protecting the things a marketplace has always had to protect: checkout fraud, account takeover, courier abuse. But we are no longer only a marketplace. We now issue banking products, lend to merchants, move instant payouts to couriers, and collect cash on the doorstep. Every one of those is a new way for money to leave the platform.
This is a new team, and it owns that surface: fraud wherever money moves through the platform. Who receives it, who lends it, who collects it, and who holds it in a financial account. Think instant payout rails, merchant cash advances, and platform-issued banking and earned-wage products serving millions of couriers and merchants. These are live loss surfaces, and the volume grows with every financial product we launch.
We are now looking for a
Backend Engineer (Golang)
to build that protection. You will design and ship real-time detection and automated enforcement for our financial products across DoorDash, Wolt, and Deliveroo. The work is high-throughput, low-latency, and unusually consequential: a rule you ship on Monday can stop a serious loss by Friday. It is also close to greenfield, so you will be setting the patterns every future financial product inherits on day one.
This role will be based in
London
,
UK
as one of the founding engineering roles in our London hub, working closely with our teams in Helsinki and Berlin.
What you'll do:
Build and maintain high-throughput, low-latency backend services in Go that score financial events in real time, including payout enrollments, bank account links, credit applications, and account-to-account transfers.
Design fraud detection and automated enforcement for our financial products end to end: from signal collection through to the decision that blocks a fraudulent payout.
Build on and extend our shared fraud decisioning platform, so signals, rules, and models work across all three of our brands instead of being rebuilt three times.
Partner closely with risk analysts, data scientists, and product managers to turn observed fraud patterns into shipped detection, and to know when a rule, a model, or a product change is the right answer.
Work across team boundaries with our account security, payments fraud, and financial product teams. We build on their signals rather than rebuild them, so clean interfaces matter.
Contribute to architectural discussions and technical decisions as we establish the fraud infrastructure baseline for financial products, with support from senior engineers on the team.
Write well-tested, observable code and help the team hold a high quality bar. In fraud, a silent failure is a loss event.
Our expectations:
3 to 6 years of professional software engineering experience, including backend services you have shipped and owned in production.
1+ years of production experience in Golang, or strong experience in another backend language and real enthusiasm for picking Go up quickly.
A working understanding of low-latency, high-throughput distributed systems. Real-time decisioning comes with a latency budget, and you are keen to learn to build inside one.
Hands-on experience with SQL and/or NoSQL databases, and some exposure to event-driven architectures (Kafka or similar).
Willingness to operate what you build, including a share of on-call, with a pragmatic approach to reliability.
Uses AI tooling in day-to-day development and can critically evaluate its output for correctness and quality.
Nice to have
Experience in fraud, risk, payments, lending, or financial crime, especially money movement fraud, bank account linking fraud, payout abuse, or lending fraud.
Experience with rules engines, real-time feature stores, or ML model serving in a decisioning path.
Background in Kotlin, Java, Python, or Node.js alongside Go.
Familiarity with cloud infrastructure (AWS, GCP).
Experience working across multiple brands, regions, or regulatory regimes.
What we value
A product-oriented mindset. You think beyond the ticket, understand the "why" behind the work, and take a high level of responsibility for outcomes rather than output.
Comfort with ambiguity. This is a new team on a new surface; parts of the charter are still being drawn, and you will help draw them.
A track record of owning a project or feature end to end, especially in fast-paced environments.
Clear and proactive communication, with a collaborative spirit. We work across three companies and several time zones, so we move fast, but we succeed together.
An adversarial instinct. The best fraud engineers enjoy thinking like the attacker.
Diversity, Equity and Inclusion
At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong.
We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief.
If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience.
If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you!
Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at
careersatdoordash.com/recruitment-scam-awareness
.
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seniorГеография найма не уточнена
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Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
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УдалённоФранция, Великобритания; Airship believes that flexible work contributes to a more productive and more equitable work environment, and that Airshippers are able to collaborate, innovate, and support one another across different locations and timezones; Candidates must live in France or the United Kingdom and have the existing right to work in that country.This role may require up to 10% travel based on business needs or as requested by your manager
ГибридКанада; This role is open to hybrid candidates in Vancouver, British Columbia, or San Mateo, California; We also welcome applications from candidates across Canada interested in relocating to Vancouver, and from remote candidates in Seattle, Washington
United States, Remote; Experience collaborating with globally distributed engineering teams across multiple organizations and time zones to deliver shared platform capabilities and drive technical alignment
ОфисheadNew York
Stockholm
ОфисseniorCanada, Vancouver, BC
УдалённоseniorUnited Kingdom; Brazil; Ireland; Peru; Costa Rica; Latvia; Argentina; Romania; Cyprus; Portugal; Slovenia; South Africa; Czech Republic; Panama; Estonia; Canada; Hungary; Mexico; Poland; Spain; Bulgaria; We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance
ОфисNew York; San Francisco
УдалённоBrazil; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; Slovenia; Lithuania; South Africa; Czech Republic; Hungary; Mexico; Chile; Poland; Slovakia; Bulgaria; We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance
УдалённоМожно работать из любой страны
We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief
We work across three companies and several time zones, so we move fast, but we succeed together; We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief
