Location: Dubai, United Arab Emirates; Cairo, Egypt; Delhi, India; Casablanca, Morocco; Riyadh, Saudi Arabia
Müller’s Solutions is actively searching for a Google Cloud Data Engineer to enhance our data processing capabilities. In this vital role, you will be responsible for designing and implementing data pipelines leveraging Google Cloud technologies. You will work closely with data analysts, business stakeholders, and other engineering teams to ensure data is accurately processed, integrated, and made available for analysis and reporting.
Key Responsibilities:
Design, develop, and optimize data pipelines using Google Cloud Dataflow, Pub/Sub, and other GCP data services.
Implement data lakes and data warehouses using Google BigQuery, ensuring efficient data storage, retrieval, and processing.
Collaborate with data scientists and analysts to understand data requirements and provide solutions that meet business needs.
Monitor and evaluate data pipeline performance, implementing necessary optimizations and troubleshooting issues as they arise.
Ensure data quality by developing and implementing validation routines and data profiling techniques.
Document data architecture, ETL processes, and operational procedures to facilitate knowledge sharing within the team.
Stay informed of emerging trends and best practices in data engineering and GCP technologies.
Participate in team efforts to define and enhance data governance and management practices.
Requirements
Requirements:
Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.
3+ years of experience in data engineering, with a focus on Google Cloud Platform.
Proficient in designing and implementing data pipelines using Google Cloud Dataflow, BigQuery, and related tools.
Strong SQL skills and experience in data modeling and data warehousing concepts.
Familiarity with programming languages such as Python or Java for data processing tasks.
Ability to work with various data sources, including structured and unstructured data.
Strong analytical and problem-solving skills with attention to detail.
Ability to effectively communicate technical concepts to both technical and non-technical stakeholders.
Preferred Qualifications:
Google Cloud certifications (e.g., Google Cloud Professional Data Engineer) are highly desirable.
Experience with real-time data processing using Apache Beam and Google Cloud Pub/Sub.
Understanding of CI/CD practices in data engineering workflows.
Knowledge of data visualization tools and techniques to present data insights effectively.
Benefits
1- Attractive Package.
2- Family Benefits.
3- Visa.
4-Air Tickets.
Dubai, United Arab Emirates; Cairo, Egypt; Delhi, India; Casablanca, Morocco; Riyadh, Saudi Arabia
Location: Al Khobar, Saudi Arabia; Dammam, Saudi Arabia
Eram Talent is seeking a dedicated
Data Quality Business Analyst
to join our growing team. In this role, you will be responsible for ensuring the integrity, accuracy, and reliability of data across our business systems. You will collaborate with cross-functional teams and stakeholders to define data quality standards, develop metrics, and implement processes that enhance data management practices.
Your responsibilities will include performing data analysis, identifying data quality issues, and recommending solutions to improve data governance. You will also work on data quality initiatives and may be involved in data profiling, cleansing, and monitoring to ensure adherence to organizational data quality standards.
Responsibilities
Consolidate guidelines, processes and parameters for conducting business analysis in order to follow a consistent approach in the process followed for collating data and carrying out analytics.
Support in coordinating with Technology departments through periodic meetings to understand the specific business requirements related to business analytics.
Coordinate with different internal departments to identify the most suitable data resources to ensure effective data collection and analysis based on the requirements.
Support in identifying potential external vendors/market research agencies etc. and coordinate with them to establish the data collection and reporting needs in order to ensure efficiency in the data collection process.
Coordinate with external consultants/forums to keep updated with the latest developments in the Technology landscape.
Perform data cleaning and standardisation for conducting the relevant analysis and ensures adherence to data quality standards while developing reports on procurement and logistics updates.
Stay up to date on the latest business intelligence tools, databases, systems or methods etc. and shares insights with Master Data Quality Manager on leveraging the same for business requirements.
Develop the requisite reports (weekly/monthly/ad-hoc) and ensures timely submission of the same to facilitate decision making.
Requirements
Bachelor’s degree in Information Technology, or equivalent from a recognized and accredited university is required.
5+ years of experience as a Data Quality Analyst or in a related field.
Certified Data Privacy Solutions Engineer (CDPSE) preferred.
Experience in Information Technology / Data Solutions / Networking / Cybersecurity preferred.
Strong understanding of data management principles, data governance, and data quality best practices.
Proficient in data profiling and analysis tools (e.g., SQL, Python, or ETL tools) to assess data quality.
Experience with data visualization tools such as Tableau, Power BI, or similar is a plus.
Strong analytical and problem-solving skills to identify data quality issues and develop actionable solutions.
Excellent communication skills, with the ability to work collaboratively with diverse teams and stakeholders.
Detail-oriented with a focus on delivering high-quality results.
Familiarity with data privacy and regulatory compliance standards is a plus.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is seeking an exceptional Senior Staff Software Engineer to join the Claude Developer Platform team and serve as the senior-most individual contributor across API Engineering. Since launch, the Claude API has seen rapid growth and adoption by companies of all sizes to build AI applications with our industry-leading models. The API serves as the primary channel for safely and broadly distributing AI's benefits across all sectors of the economy.
This role sets the technical direction for the systems that make Claude accessible to developers, enterprises, and partners at scale. You will operate at the intersection of technical strategy and execution, partnering closely with Research, Inference, Platform, Infrastructure, and Safeguards to ensure the Claude API is reliable, capable, and positioned to grow with Anthropic's ambitions.
This is a high-agency role that spans all API Engineering teams:
API Core
owns the foundational reliability and performance of the Claude API;
API Capabilities
ships frontier model capabilities—vision, tool use, computer use—directly to developers;
API Knowledge
builds retrieval and grounding systems that let Claude reason over external data;
API Distributability
ensures Claude reaches customers wherever they need it, with the enterprise-ready infrastructure to support it; and
API Agents
builds the infrastructure for long-horizon agentic workflows in production.
Responsibilities
Define and drive multi-year technical strategy for the Claude API, setting direction across API Core, Capabilities, Knowledge, Distributability, and Agents.
Identify and personally lead the highest-complexity, highest-impact engineering initiatives spanning multiple teams.
Serve as the primary technical decision-maker for major architectural decisions with org-wide scope.
Partner with Research to evaluate and integrate frontier capabilities; work with Inference and Platform for reliable delivery at scale; collaborate with Infrastructure and Safeguards for reliability, security, and responsible deployment.
Mentor and develop Staff-level engineers across the org.
Drive alignment across Product, GTM, Safety, and beyond while proactively identifying and addressing systemic technical risks.
You may be a good fit if you:
Have 12+ years of engineering experience with a clear track record operating at Staff or Senior Staff level.
Have demonstrably shaped technical strategy for large-scale API or distributed systems platforms.
Drive the highest-leverage technical outcomes without formal authority—you lead through influence, quality of thinking, and trust.
Have deep expertise in distributed systems and API architecture, and are effective writing design docs, making architectural calls, and coding in critical paths.
Are highly effective across org boundaries—you build trust with Research, Inference, Infrastructure, Safeguards, and business stakeholders alike.
Bring strong product instincts and a craftsperson's approach to API design; you communicate clearly with both technical and non-technical audiences.
Technical Stack
Languages:
Python, Golang, Rust
Infrastructure:
GCP, AWS, Azure, Kubernetes
Databases:
PostgreSQL (AlloyDB), Vector Stores, Firestore, Spanner
Tools:
Feature Flagging, Prometheus, Grafana, Datadog, Claude Code
Deadline to apply: None. Applications will be reviewed on a rolling basis.
Location Preference: Preference will be given to candidates based in New York or the San Francisco Bay Area as these positions are part of an SF- or NY-based team.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Задачи:
— Проектирование и развитие on-prem инфраструктуры
— Настройка и оптимизация Kubernetes-кластеров
— Автоматизация CI/CD и IaC (Terraform, Ansible, GitLab CI/CD)
— Настройка observability и HA/DR (Prometheus, Grafana, PostgreSQL, Redis, Kafka и др.)
Требования:
— 4-6+ лет опыта девопсом в on-prem или гибридных инфраструктурах
— Глубокое понимание ОС и принципов работы оборудования
— Опыт работы с Bash / Python / Go
— Системное мышление и умение работать с архитектурными решениями
Условия:
— Оформление по ТК РФ, ДМС
— Удалённый формат по РФ, гибкое начало дня
— Развитые процессы взаимодействия и онбординга
Задачи:
— Доработка бекенда и фронтенда BI-инструмента Apache Superset;
— Кастомизация визуализаций (интерфейса/чартов/фильтров) как в рамках преднастроенных возможностей, так и в рамках добавления новых полей и функций;
— Конфигурирование, обновление версий Apache Superset, а также решение технических проблем, связанных со стандартным функционалом (ошибки, баги, недоработки);
Требования:
— Опыт работы в роли фуллстек-разработчика от 4-х лет;
— Понимание принципов работы и навыки программирования на Node.js;
— Знание JavaScript, Typescript, Python;
— Опыт разработки веб-приложений с использованием фреймворков React, Vue.js;
— Опыт работы с Pandas, Django/Flask;
— Уверенное владение языком запросов SQL, применение макросов и Jinja-шаблонов;
— Понимание принципов работы Docker, CI/CD.
Дополнительно:
— Опыт работы с Apache Superset или близкими по архитектуре системами;
— Опыт работы с PostgreSQL, Redis, Celery;
— Опыт работы с Linux, Bash, Git, создания контейнеров Docker, Gitlab CI/CD или аналоги.
Условия:
— Удаленная работа, полная занятость.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The Account Abuse team is tasked with ensuring Anthropic’s computing capacity is allocated fairly, minimizing resources available to bad actors and preventing them from coming back. As a software engineer on this team, you will build systems that gather and analyze signals at scale, balancing tradeoffs and coordinating closely with stakeholder teams throughout the company. The ideal candidate can see things from opponents’ perspectives, understand their means and motives, and anticipate their responses to countermeasures.
Responsibilities:
Ability to think and respond quickly in a rapidly-changing greenfield environment
Jumping into other teams’ code to identify key points to gather signals or introduce interventions with minimal impact on their systems’ stability, complexity, or overall architecture
Integration with third-party data-enrichment vendors
Creating monitoring dashboards, alerts, and internal admin UX
Working closely with our data scientists to maintain situational awareness of our current usage patterns and trends, and with our Policy & Enforcement team to maximize the impact of their human-review availability
Building robust and reliable multi-layered defenses
Lead root cause analyses and deep-dive investigations into account activity to identify abuse patterns, uncover emerging attack vectors, and inform both immediate enforcement actions and longer-term systemic defenses
You may be a good fit if you have:
A Bachelor’s degree in Computer Science, Software Engineering or comparable experience
Proficiency in Python, SQL, and data analysis tools.
Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders
Strong candidates may also:
8+ years of industry software engineering experience (not including internships and co-ops), preferably with a focus on integrity, spam, fraud, or abuse detection.
Have experience building trust and safety mechanisms for and using AI/ML systems, such as fraud-detection models or security monitoring tools or the infrastructure to support these systems at scale
Have worked closely with operational teams to build custom internal tooling
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco; Toronto; New York; Montreal; Seattle
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
At Baseten, we are building the global operating system for distributed, heterogeneous AI hardware. We believe that as LLM and multi-modal workloads scale, the network is the computer. We are looking for foundational engineers to lead our GPU Networking efforts, making RDMA a first-class building block in our infrastructure and unlocking the next generation of distributed inference optimizations.
Networking and compute are no longer separate disciplines; they are converging. The massive throughput of H100, B200, and NVL72 architectures enables and demands a new approach where communication is co-optimized alongside computation. We are entering an era where the network is an active accelerator, leveraging smart hardware offloads and direct interconnects to ensure that data movement operates at wire-speed.
In this role, you will go beyond network configuration to architect the software fabric that unifies thousands of GPUs into a cohesive operating system. While you will leverage the best of the open-source ecosystem, you won't be limited by it. Where off-the-shelf solutions stop, you will build from scratch, engineering the primitives required to co-optimize communication and compute for Disaggregated Serving, Wide Expert Parallelism (WideEP), and lightening cold starts.
RESPONSIBILITIES
- Make RDMA First-Class: You will work on integrating RDMA/RoCE/InfiniBand capabilities directly into our inference stack, helping us move beyond TCP/IP to unlock order-of-magnitude improvements in bandwidth and latency.
- Optimize Distributed Inference: You will implement and tune the networking layers necessary for efficient Disaggregated KV Cache Offload and WideEP, ensuring seamless communication across NVLink and InfiniBand for our MoE models.
- Enable Serverless-Grade Startup Speeds for LLMs: You will work deeply with checkpointing and storage mechanisms to enable sub-10-second startup for trillion-parameter models.
- Deep-Dive into Hardware: You will characterize and validate networking performance on bleeding-edge clusters (H100/H200, B200/B300, GB200/300 NVL72), writing the acceptance tests that ensure our hardware delivers peak achievable throughput and minimal latency.
- Build Observability: You will design the tools that let us visualize packet flow, congestion, and effective bandwidth across the GPU interconnects, helping us diagnose complex distributed system behaviors.
- Optimize Kernels: You will work with communication libraries (NCCL, NVSHMEM) and potentially write custom communication kernels to overlap compute and data transfer.
REQUIREMENTS
- You have deep experience with high-performance networking protocols (InfiniBand, RoCE v2) and understand the physics of data movement.
- You are fluent in C++ or Python, with the ability to bridge the gap between high-level logic and hardware. You have a deep understanding of the memory hierarchy in modern NVIDIA architectures (H100/Blackwell) and know how to optimize for it.
- You like going deep. You aren't afraid to dive into TensorRT-LLM source code, write custom C++ / Python bindings, or debug NVLink topology issues.
- You know when to use an off-the-shelf solution and when we need to build a custom solution because the upstream tools (like standard Kubernetes networking) are too slow for our needs.
NICE TO HAVE
- Deep knowledge of NCCL, NVSHMEM, and UCX.
- Experience with Rust for systems-level or performance-critical networking code is a strong plus
- Experience with GPUDirect Storage (GDS) or high-performance filesystems like Weka or 3FS.
- Familiarity with TensorRT-LLM, vLLM, or SGLang.
- Experience running low-level benchmarks to "qualify" new hardware clusters.
THE TEAM
- Bleeding Edge Hardware: We are preparing to bring Blackwell (B200/B300) and then Rubin architectures online. You will be one of the first engineers in the industry optimizing networking for NVL72/GB300 racks.
- We go deep: We operate at every depth. Whether it’s tuning hardware interconnects, writing custom communication kernels, or designing distributed inference strategies, we work across the entire stack to deliver performance that goes far and beyond.
- High Impact: The networking optimizations you build will directly enable features that no one else in the industry has fully mastered yet, like seamless multi-node WideEP and instant model hydration.
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: Home based - EMEA
Canonical is a leading provider of open-source software and operating systems for global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in more than 80 countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
The company is founder led, profitable and growing.
We are hiring an
Engineering Director
, who strives for taking ownership of the development and operations of internal software products serving Canonical business and a popular security solution Livepatch. A successful candidate has a track record of delivering full-stack software services, adheres to high engineering quality standards, and continuously develops their skills as well as skills of their direct reports. This is an exciting opportunity to work with highly enthusiastic people on exciting innovative engineering solutions supporting Canonical's growth and learn a lot about engineering for the business.
The engineering director will lead the Commercial Systems unit that is conceived as three engineering teams that closely collaborate with other engineering and business teams at Canonical. Services designed, developed, and operated by the Commercial Systems unit are at the heart of Canonical business. We are looking for a software engineering director to oversee the three software teams led by software engineering managers.
The
Billing
team designs, develops, and operates a Golang service that provides a standardized and scalable capability to turn metrics into billable amounts, enable customers to see their current spend with Canonical at any time, and ensure accurate, reliable, and timely billing. The service further integrates with other engineering, business and payment systems.
The
Contracts
team designs, develops, and operates a Golang service that will become the single source of truth for all contracts with all customers. The service provides a standardized CPQ capability and stores signed contracts in a structured format. The service further integrates with other engineering and business systems including a CRM system and an accounting system.
The
Livepatch
team designs and develops a service for the delivery of Linux kernel patches to shrink the exploit window for critical and high severity Linux kernel vulnerabilities, by patching the Linux kernel between security maintenance windows, while the system runs. The engineering team behind this product develops Golang based client and backend components, while another Canonical team, the Kernel team, develops the security patches.
Location
: This role will be based remotely in the EMEA region.
The role entails
Leading multiple teams of engineers, ranging from graduates to seniors
Developing your engineering managers to maintain Canonical culture in their teams
Developing and evangelize great engineering practices and processes in the teams
Setting and implementing solid performance management with performance goals and objectives with your direct reports and teams
Identifying and measuring indicators of team health, and take action where needed
Being accountable for the product development roadmaps in the teams
Being an active part of the Commercial Systems leadership team, collaborating with other leaders
Expanding your teams by hiring great talent
Collaborating with stakeholders and product users
What we are looking for in you
Exceptional academic track record from both high school and university
Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
Proven ability to drive multiple teams or large teams of software engineers to deliver outstanding results
Engineering experience in at least one of the following areas: Golang, Python, Java, or distributed integrations
Track record of going above-and-beyond expectations to achieve outstanding results
Professional written and spoken English with excellent presentation skills
Result-oriented, with a personal drive to meet commitments
Ability to travel internationally twice a year, for company events up to two weeks long
Nice-to-have skills
Performance engineering and DevOps/SRE experience
Experience with accounting, sales, sales operations, or other business roles
What we offer colleagues
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
Distributed work environment with twice-yearly team sprints in person
Personal learning and development budget of USD 2,000 per year
Annual compensation review
Recognition rewards
Annual holiday leave
Maternity and paternity leave
Employee Assistance Program
Opportunity to travel to new locations to meet colleagues
Priority Pass, and travel upgrades for long haul company events
About Canonical
Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration.
#LI-remote
Location: Home based - EMEA
Canonical is a leading provider of open-source software and operating systems for global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in more than 80 countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
The company is founder led, profitable and growing.
We are hiring an
Engineering Director
, who strives for taking ownership of the development and operations of internal business systems integrations, a full data mesh solution built on top of leading open-source software, and the configuration of Salesforce, NetSuite, and other internal business systems. A successful candidate has a track record of leading the configuration, development and integrations of business systems, such as Salesforce or NetSuite, and data engineering/governance solutions. Such a candidate adheres to high engineering quality standards, and continuously develops their skills as well as skills of their direct reports. This is an exciting opportunity to work with highly enthusiastic people on exciting innovative engineering solutions supporting Canonical's growth and learn a lot about engineering for the business.
The engineering director will lead the Business Data unit that is conceived as three engineering teams that closely collaborate with other engineering and business teams at Canonical. Services designed, developed, and operated by the Commercial Systems unit are at the heart of Canonical business and data analytics and reporting. We are looking for a software engineering director to oversee the three software teams led by software engineering managers.
The
Business Systems
team is responsible for systems such as NetSuite, Salesforce, and several others. The engineers work closely with operations teams, implement business processes, and keep the systems compliant, while delivering first class experience to Canonical employees using those systems to get their job done.
The
Data Lake
team is responsible for building a comprehensive data mesh solution with a secure and well-governed access to data sets originating at many internal and external data sources
.
The team works with well-known open-source tools such as Trino, Ranger, and Superset, and develops tooling facilitating data governance processes.
The
Integrations
team is responsible for the integrations between internal and external systems used at Canonical and onboarding of new data sources to the data mesh. The team designs, develops, and operates Python workflows leveraging an open-source workflow orchestration engine Temporal. The team also integrates internal and external data sources into the data mesh using open-source ETL solution Airbyte, enabling more data driven decisions in the organization.
Location
: This role will be based remotely in the EMEA region.
The role entails
Leading multiple teams of engineers, ranging from graduates to seniors
Developing your engineering managers to maintain Canonical culture in their teams
Developing and evangelize great engineering practices and processes in the teams
Setting and implementing solid performance management with performance goals and objectives with your direct reports and teams
Identifying and measuring indicators of team health, and take action where needed
Being accountable for the product development roadmaps in the teams
Being an active part of the Commercial Systems leadership team, collaborating with other leaders
Expanding your teams by hiring great talent
Collaborating with stakeholders and product users
What we are looking for in you
Exceptional academic track record from both high school and university
Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
Proven ability to drive multiple teams or large teams of software engineers to deliver outstanding results
Engineering experience in at least one of the following areas: CRM/ERP systems, Python, data engineering/governance, or distributed integrations
Track record of going above-and-beyond expectations to achieve outstanding results
Professional written and spoken English with excellent presentation skills
Result-oriented, with a personal drive to meet commitments
Ability to travel internationally twice a year, for company events up to two weeks long
Nice-to-have skills
Performance engineering and DevOps/SRE experience
Experience with compliance
What we offer colleagues
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
Distributed work environment with twice-yearly team sprints in person
Personal learning and development budget of USD 2,000 per year
Annual compensation review
Recognition rewards
Annual holiday leave
Maternity and paternity leave
Employee Assistance Program
Opportunity to travel to new locations to meet colleagues
Priority Pass, and travel upgrades for long haul company events
About Canonical
Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration.
#LI-remote
Задачи:
— Разработка и развитие backend-функциональности продукта.
— Работа с AI-фичами: интеграции с OpenAI, экспериментальные и продуктовые AI-решения, быстрые ресёрчи и прототипирование.
— Архитектурные задачи: повышение устойчивости системы, подготовка к росту нагрузки, улучшение масштабируемости.
— Интеграции с внешними сервисами: чаты, звонки, AI-инструменты, другие сторонние платформы.
— Поисковые и data-задачи: развитие OpenSearch, улучшение поиска и матчинг-логики.
— Поддержка и оптимизация существующих API.
Требования:
— 4+ года опыта в разработке.
— Желательно 2+ года на уровне Senior или близко к нему.
— Уверенное знание Python и Django.
— Опыт работы с PostgreSQL и REST API.
— Понимание принципов построения масштабируемых систем.
— Умение работать автономно и брать ответственность за результат.
— Интерес к продукту, AI-направлению и развитию вместе с командой.
— Техническое образование будет плюсом, но не является обязательным.
Условия:
— Полностью удаленная работа.
— Гибкий график при условии участия в командных звонках и регулярной, понятной коммуникации.
Location: Poland; Brazil; Argentina; Colombia
Workplace: Remote
Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes.
Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively.
We are seeking a dynamic and motivated Staff AI NodeJS Engineer with a strong focus on developing AI Agents. If you have an understanding of AI technologies and thrive on applying diverse tech stacks to build innovative solutions, we want to hear from you. This role involves not only technical expertise but also collaboration with clients to understand and refine project requirements.
WHAT YOU WILL DO
- Collaborate with cross-functional teams to design and build AI Agentic solutions.
- Contribute to defining technical requirements and implementing features across the software lifecycle - from proof of concept through implementation to evaluation and production.
- Take ownership of assigned tasks and deliver high-quality, maintainable code.
- Manage backend tasks while contributing to frontend development.
- Stay informed about trends and advancements in AI and related fields, continuously learning and integrating new knowledge.
- Employ a pragmatic, evaluation-driven approach to adopting innovative AI solutions.
EXPERIENCE AND SKILLS YOU NEED TO JOIN US
- Experience in full-stack development using mainly NodeJS (with TypeScript).
- At least 1 year of experience in AI Engineering role.
- Versatile in technology use, comfortable working across backend and frontend tasks.
- Track record in staying current with AI and Agentic technologies, including best practices and architecture.
- Openness to client collaboration, fostering clear communication and effective partnership.
- Strong commitment to learning new technologies and swiftly adapting to new products and APIs.
- Understanding of Retrieval-Augmented Generation (RAG) and its applications.
- Familiarity with Multi-Agents concept, tools usage and MCP Servers.
- Hands-on experience with LLM APIs/SDKs (e.g., OpenAI, Anthropic).
- Knowledge of LLM orchestration and frameworks like Langchain or LlamaIndex, with practical implementation experience.
- Understanding of prompt design principles and an ability to create effective prompts.
- Experience configuring services on cloud platforms (e.g. AWS, Azure, GCP).
- Basic experience with CI/CD pipelines and DevOps best practices.
- Competence in REST API usage and efficient database integration.
- Fluency in English language.
IT WOULD BE GREAT IF YOU ALSO HAVE
- Basic knowledge of machine learning principles.
- Understanding Python source code.
- Experience with React.
- Experience with model fine-tuning and distillation.
- Familiarity with LLM evaluation.
- Experience with Model Context Protocol (MCP).
- Experience with graph databases.
- Familiarity with other programming languages and frameworks.
- Familiarity with Voice Agents concepts and related frameworks e.g. Pipecat.
When you join Solvd, you'll…
- Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation.
- Be part of a global team with equal opportunities for collaboration across continents and cultures.
- Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.
Ready to make an impact?
If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together.
Solvd is an equal opportunity employer.
Location: San Francisco
Workplace: OnSite
Perplexity is AI for people who expect more. This role brings that standard to how we understand our users, shape our product, and decide what to build next.
We're looking for a data scientist who can turn product questions into clear decisions. You'll work across product, engineering, growth, design, and user research to understand user behavior, define metrics, design experiments, and identify the highest-leverage opportunities for the company.
The data team is AI-native by default. We use AI to accelerate analysis, write and review code, explore hypotheses, document data, generate first drafts, and automate recurring workflows. But the core of the role is still judgment: asking the right question, choosing the right metric, designing the right test, and knowing when the answer is strong enough to act on.
WHAT YOU'LL DO
- Develop product insights - analyze user behavior to inform product roadmap, accelerate adoption, and identify opportunities to improve the user experience.
- Design and analyze experiments - form hypotheses, define success metrics, run A/B tests, interpret results, and turn findings into product recommendations.
- Define the metrics that matter - build the metrics, guardrails, dashboards, and reporting workflows that help teams understand product and company health.
- Partner across functions - work closely with engineering, product, growth, design, and user research to answer ambiguous questions and drive decisions.
- Build reusable data assets - create tables, models, and documentation that make analysis faster, more consistent, and easier for humans and AI systems to use.
- Use AI to scale data science - automate recurring analysis, build AI-assisted workflows, improve documentation, and turn one-off investigations into repeatable systems.
- Tell the story clearly - communicate findings, assumptions, uncertainty, and recommendations in a way that helps teams make decisions.
WHAT WE'RE LOOKING FOR
- 6+ years of experience as a data scientist or closely related role.
- Strong product sense - you understand user behavior, product tradeoffs, and how to connect analysis to decisions.
- SQL expertise - you can navigate a complex data warehouse on your own, reason about grain and joins, and debug data issues when something looks wrong.
- Experimentation depth - you have significant experience designing, running, and analyzing A/B tests.
- AI-native working style - you use LLMs and AI tools to move faster without outsourcing analytical judgment.
- Metrics and dashboard experience - you've built useful reporting in tools such as Omni, Mode, Hex, Looker, or similar, and know how to turn metrics into better product decisions.
- Comfort with ambiguity - you can take an open-ended question, structure it, execute the analysis, and make a clear recommendation.
- End-to-end ownership - you take responsibility for the work from problem definition to stakeholder adoption.
BONUS
- Experience with dbt, data modeling, or analytics engineering.
- Python experience for analysis, automation, or internal tools.
- Experience with Snowflake, especially performance and cost-aware querying.
- Experience combining qualitative user research with quantitative product analysis.
- Experience as one of the first data scientists at an early or growth-stage company.
- ML experience or experience working across multiple product surfaces.
WHY THIS ROLE
- Define data science at Perplexity - you'll help set the bar for how an AI-native data science team operates.
- Work on questions with no playbook - AI-native products are too new for established benchmarks. What engagement, retention, and user success look like for AI products that answer questions and get real work done is still an open question, and you'll help define it.
- Use AI where it actually matters - you'll use frontier tools to make analysis faster, more repeatable, and more useful.
- Direct impact - small team, high ownership, and work that shapes product and company direction.
Location: San Francisco; Stockholm; New York; London
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.
THE ROLE:
Modal is hiring a high-impact Solutions Architect to drive technical strategy across our most strategic enterprise accounts.
You will operate as the executive technical counterpart to Enterprise Account Executives, leading complex evaluations, shaping infrastructure modernization roadmaps, and driving multi-product adoption across AI/ML workloads.
This role is not demo support. It is a strategic, consultative position requiring strong architectural depth, executive presence, and the ability to influence 7–8 figure infrastructure decisions. You will work directly with CTOs, VPs of Engineering, and ML platform leaders to help them rethink how AI infrastructure should be built and operated.
If you thrive in high-velocity technical sales environments and want to shape the infrastructure layer powering modern AI companies, this role is for you.
WHAT YOU’LL DO:
- Own the technical strategy for large, complex enterprise accounts
- Partner with Enterprise Account Executives to drive 6–7+ figure opportunities from qualification through close
- Lead deep technical discovery across platform, ML, DevOps, and infrastructure stakeholders
- Architect end-to-end migration strategies from AWS, GCP, or Azure to Modal’s serverless infrastructure
- Drive executive-level technical conversations that connect infrastructure architecture to business impact (velocity, cost efficiency, reliability)
- Design and oversee proof-of-concepts that demonstrate production-grade scalability and performance
- Navigate security reviews, compliance discussions, and procurement processes with confidence
- Build durable relationships with technical champions and executive sponsors
- Orchestrate cross-functional virtual account teams (Sales, Product, Engineering, Support) to ensure successful adoption
- Influence Modal’s product roadmap by surfacing structured enterprise feedback
- Mentor other Solutions Architects and contribute to technical best practices across the team
REQUIREMENTS:
- 5+ years in Solutions Engineering, Sales Engineering, or enterprise-facing technical roles in infrastructure, cloud, or developer platforms
- Demonstrated success driving complex enterprise sales cycles ($250K+ ACV; experience with $1M+ ARR accounts strongly preferred)
- Experience working with large, sophisticated Bay Area technology companies or global enterprises
- Deep expertise in cloud infrastructure (AWS, GCP, Azure) including compute, networking, storage, and managed services
- Strong architectural understanding of containers and orchestration (Docker, Kubernetes)
- Experience designing distributed systems and production data platforms
- Strong working knowledge of ML/AI infrastructure (training pipelines, inference systems, GPU workloads, MLOps)
- Experience leading cloud migration or infrastructure modernization initiatives
- Familiarity with Infrastructure as Code (Terraform, Pulumi, CloudFormation) and CI/CD systems
- Production programming experience in Python strongly preferred
- Executive-level communication skills with the ability to influence technical and business stakeholders
- Proven ability to lead cross-functional virtual teams in high-stakes account environments
- Strong business acumen and understanding of enterprise procurement and buying processes
- Willingness to travel up to 30%
Location: Lisbon, Portugal
About the Role
The Full Stack Engineer at iCapital will work end-to-end on new features, enhancements, and defect resolution on one or more of iCapital's software platforms. You will work closely with our Product Management team throughout the software development process, detailing requirements, reviewing work in progress, and addressing issues found in manual test efforts.
Responsibilities
Web application development in Typescript as front end and Python as a backend.
Strong grasp of system design, architecture, and trade-offs. Able to mentor junior engineers effectively.
Participate in architecture reviews and technical design.
Active participation in daily stand-up meetings
Active participation in Peer Code Reviews as part of our standard SDLC and Change
Candidate Profile
10+
years software engineering experience building enterprise SaaS cloud-based solutions
7+
years of Python development experience
7+ years of hands-on experience with Typescript
Technical leadership/management experience is a plus
Demonstrated understanding of relational database concepts and modeling practices.
Familiarity with cloud-based technologies – K8S, AWS etc.
Ability to work in an Agile / Kanban methodology
Ability to work independently or as part of a group effort, as required
Solid problem-solving ability
Excellent communication skills
Collaborative approach to software development
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office four days, with the flexibility to work remotely one day (Friday).
Benefits
iCapital offers a comprehensive benefits package that includes a total compensation program consisting of competitive salary, annual performance bonus, and equity for all full-time employees; healthcare with 100% employer-paid health and dental insurance; and generous paid time off (PTO).
For additional information on iCapital Network, please visit
https://www.icapitalnetwork.com/about-us
Twitter: @icapitalnetwork | LinkedIn:
https://www.linkedin.com/company/icapital-network-inc
Location: Athens; Limassol; Nicosia
Workplace: hybrid
The Role:
We’re looking for a Data Architect to drive the design, evolution, and governance of data architecture across the organization. In this role, you’ll collaborate closely with multiple functional groups and technology leaders to translate business needs into scalable, well-structured data solutions.
You’ll provide best-practice guidance on data management, modeling, and architecture design, ensuring data platforms are robust, efficient, and aligned with strategic objectives.
This is an exciting opportunity to shape data-centric initiatives, influence enterprise-level decisions, and enable teams to leverage high-quality data in support of impactful business outcomes.
The main responsibilities of the position include:
Develop conceptual, logical, and physical data models, focusing on design (structure, semantics, constraints, and alignment to business meaning), including key physical design considerations such as indexing and partitioning
Define and maintain reference and target data architectures (including standards and reusable patterns) across operational systems, event/streaming platforms, and analytical environments (data warehouse/lakehouse)
Drive architectural decision-making and trade-offs (e.g., consistency, performance, scalability, cost, operability, security), and contribute to architecture documentation practices that capture and govern those decisions
Support the implementation of the organizational data strategy, including database design standards, data warehouse architecture, standards and guidance, and analytics platform integration
Assist with the deployment and extension of the Enterprise Data Catalogue
Contribute to the creation and maintenance of architecture processes and documentation standards
Partner closely with project teams as an embedded contributor, guiding schema design, physical design choices (e.g., indexing and partitioning), data access patterns, and query optimization best practices, supporting teams through design reviews and delivery
Advise project teams on the end-to-end data product lifecycle, from platform selection through testing and implementation
Govern changes to architectural artefacts and ensure systems conform to established data architecture guidelines
Define data flows and integration patterns across applications and services, including operational systems, streams, and analytical platforms (batch and real-time), with clear ownership and information dissemination patterns
Main requirements:
BSc/MSc in Computer Science, Information Technology or related field.
Minimum of 3 years of experience in data modelling, data engineering, database design, or data architecture roles.
Strong expertise in conceptual, logical, and physical data modelling, with solid SQL skills to bring designs to life.
Proficiency in Python for data-related work (e.g., automation, prototyping, analysis, validation, data quality checks, and tooling around data pipelines/integrations).
Experience working with cloud-based data platforms and modern data warehouse or lakehouse architectures
Good understanding of software development lifecycles, requirements analysis, and technical design best practices.
A collaborative mindset, with the ability to build trusted relationships across business and technical teams.
Exposure to data governance, metadata management, and data quality frameworks, with an appreciation for well-managed data.
Confidence in advising on ETL/ELT patterns, data integration solutions, and data orchestration technologies.
Experience in graph databases, vector databases/semantic search capabilities, feature stores, or related ML/AI data architectures would be considered a plus.
A proactive, self-driven professional who thrives in agile environments and enjoys shaping scalable data solutions.
Benefit from:
Attractive remuneration package
Private health insurance
Corporate pension fund
Intellectually stimulating work environment
Continuous personal development and international training opportunities
The Hiring Experience: What Awaits You
Let’s Connect – Intro Chat with Talent Acquisition
Deep Dive – First Interview with Your Future Team
Bring It to Life – Role-Specific Take-Home Task
Final Connection – Final Interview
All applications will be treated with strict confidentiality!
By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.
Al Khobar, Saudi Arabia; Dammam, Saudi Arabia
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seniorSan Francisco, CA | New York City, NY; Location Preference: Preference will be given to candidates based in New York or the San Francisco Bay Area as these positions are part of an SF- or NY-based team
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ГибридSan Francisco; Toronto; New York; Montreal; Seattle
