Location: Dublin, Dublin, Ireland, EMEA
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran is building data pipelines to power the modern data stack for thousands of companies.
We’re looking for a high-performance, experienced engineer to be a part of a team of Site Reliability Engineers. You will be working closely with engineering teams, product managers, as well as support, sales engineers and solution architects to build the future of the Fivetran Data Platform Reliability.
This is a full-time position based out of our Dublin office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.
Technologies You’ll Use
Cloud Service Providers(CSPs): AWS, Azure and Google Cloud
Kubernetes: Managed Kubernetes services (EKS, AKS and GKE)
Continuous Integration tools: github actions, Buildkite
Continuous Delivery: ArgoCd
Databases: Postgres and all the major Databases
Languages: Go, Java
Scripts: Typescript, Python, Shell
IaC: Terraform and Pulumi
RESTful API: FastAPI
Cloud networking: Privatelinks in Azure and AWS, Private service connect in GCP and site-to-site VPN tunnels in all 3 major cloud service providers - AWS, Azure and Google Cloud
What You’ll Do
As a member of the Site Reliability Engineering team, you will take ownership over the overall performance and reliability of Fivetran’s infrastructure, the robustness of the deployment pipeline, as well as timely and effective incident response and resolution. You will take responsibility for the growth and stability of Fivetran’s infrastructure, and be a key player driving effective incident response and overall issue avoidance.
Responsible for ongoing reliability and robustness of Fivetran’s production infrastructure by monitoring availability, capacity, and throughput.
Evolve systems by adding reliability into our product roadmap
Coordinate the re-prioritise or fix critical bugs for support or sales requirements as needed
Make recommendations to production infrastructure by interfacing with engineering to ensure 100% availability
Ensure scalable artifacts deployment to all environments by automation scripts
Constantly monitor infrastructure vulnerabilities and remedy them by working with the security team
Skills We’re Looking For
Expertise in managed Kubernetes (EKS, AKS, and GKE).
Knowledge of Cloud Platforms and related tooling: AWS, Azure, Google Cloud (GCP), Terraform, Ansible, Buildkite, Pulumi and ArgoCD.
Experience in Python/Shell scripting and Go Language. Bonus if you have Java.
Experience with Linux operating systems internals and administration
Experience with cloud networking like Site-to-Site VPNs, Privatelinks and Private Service connect (GCP)
AI-assisted engineering: Experience using AI tools for code review, automation, incident analysis, documentation, and reducing operational toil.
Bonus Skills
5+ years of experience working with SaaS products at scale
Experience with databases such as PostgreSQL
#LI-IM1
#LI-HYBRID
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Обязанности:
• Проведение учебной практики в группах 2 курса специальности «Информационные системы и программирование» по направлениям: «Разработка модулей программного обеспечения для компьютерных систем», «Сопровождение и обслуживание программного обеспечения компьютерных систем», «Разработка, администрирование и защита баз данных», «Выполнение работ по профессии рабочего 'Оператор электронно-вычислительных и вычислительных машин»
• Обеспечение охраны жизни и здоровья обучающихся во время образовательного процесса
• Выполнение правил по охране труда и пожарной безопасности
Требования:
• Образование, знания и умения в соответствии с Профстандартом
• Владение навыками работы в специализированных программах, а также Microsoft Excel, Microsoft Outlook, Microsoft PowerPoint, Microsoft Word, Интернет, электронная почта
• Знание истории ОС, архитектуры, диспетчеризации, планирования и взаимодействия процессов ОС, работы с памятью, файловых систем, принципов организации
• Установка, настройка и работа в Windows, Linux, Astra Linux; администрирование ОС и управление безопасностью
• Наличие сертификатов Microsoft, Python, Astra Linux (или иных Linux дистрибутивов)
• Знание модели OSI, принципов работы протоколов TCP и UDP
• Знание сетевых протоколов
• Медицинская книжка, медицинское освидетельствование психиатр/нарколог, справка об отсутствии судимости
Условия:
• Работа на территории работодателя
• Полный социальный пакет
• Отпуск в летнее время
Location: Singapore Office
Workplace: Hybrid
Operating beyond the scope of conventional services or solutions engineering, Deployment Strategists function as embedded technical advisors. You will manage the entire spectrum of customer outcome, initiating with deep discovery and investigative work and culminating in the design, integration, and long-term empowerment of the user.
This position exists at the nexus of analytical rigor, specialized domain knowledge, and strategic customer partnership. You will engage directly with clients to internalize their operational goals, developing bespoke workflows that allow organizations to leverage Chainalysis independently. Your impact hinges on robust investigative instincts, technical proficiency, and the capacity to cultivate trust through hands-on expertise and field credibility.
In this role, you’ll:
- Own end-to-end customer engagements — from discovery through investigation, solution design, deployment, enablement, and ongoing value delivery
- Partner directly with customers to understand investigative, intelligence, compliance, or operational objectives and translate them into actionable outcomes
- Design, build, and maintain custom workflows, notebooks, dashboards, queries, and data models using Chainalysis data and products
- Enable customers to operate solutions independently — building their capability so that Chainalysis becomes embedded in their operational infrastructure
- Act as the primary technical and domain advisor for your customers, building trusted relationships through hands-on expertise and credibility
- Deliver live training, demos, investigative walkthroughs, and technical briefings to both technical and non-technical audiences
- Pre-sales technical engagement for complex and strategic deals, helping customers understand what's possible and how to get there
- Collaborate closely with Product, Engineering, Global Intel, and Sales to influence roadmap and improve offerings based on field intelligence
- Develop and share domain expertise, investigative techniques, and best practices that raise the capability of the wider team
We’re looking for candidates who have:
- Both spoken and written Mandarin fluency
- Conducted or directly supported cryptocurrency investigations, blockchain intelligence work, or financial crime analysis in an operational environment
- Deep familiarity with blockchain ecosystems (BTC, ETH, stablecoins, DeFi) and how on-chain data is used in investigations, compliance, or intelligence workflows
- Delivered customer-facing technical solutions — whether investigative outputs, data products, or analytical workflows — in complex, real-world environments
- Built insights from large or complex datasets and communicated findings to varied audiences — from analysts to executives
- Operated successfully in fast-paced, ambiguous environments requiring ownership, adaptability, and sound judgment
Required Skills:
Technical Skills
- Proficiency in Python and SQL for data analysis, transformation, and solution development
- Experience building notebooks, dashboards, and analytical workflows
- Solid understanding of data modelling, querying, and working with large datasets
- Ability to quickly develop deep expertise in Chainalysis data structures, schemas, and products
Domain Expertise
- Substantive knowledge of at least one domain: financial and cyber crime investigations, sanctions and compliance, fraud, national security, DeFi/protocol security, tax, or private sector risk
- Understanding of how customers in your domain operate — their workflows, regulatory environment, and what success looks like for them
- Ability to apply domain knowledge to shape investigation approach, solution design, and customer advisory
Customer & Communication Skills
- Proven ability to build trusted, long-term customer relationships through technical and domain credibility
- Excellent communication skills — can explain complex investigative and data concepts to non-technical stakeholders
- Comfortable leading customer sessions, workshops, training, and technical working groups
- Experience enabling and upskilling customer teams — not just delivering outputs, but building customer capability
AI at Chainalysis
AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it.
AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before.
About Chainalysis
Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation.
You belong here.
At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture.
We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.
Workplace: fully
We're looking for a
Machine Learning Engineer
to help build and improve AI-powered products. You'll work with large datasets, train and evaluate machine learning models, and collaborate with software engineers to bring models into production.
This is a great opportunity for someone who enjoys solving practical problems with machine learning and wants to work on real-world AI applications.
What you'll do
Develop, train, and evaluate machine learning models.
Prepare and analyze datasets for model training.
Improve model performance through experimentation and testing.
Deploy and maintain ML models in production environments.
Collaborate with software engineers to integrate ML solutions into products.
Monitor model performance and continuously improve accuracy.
Stay up to date with new machine learning techniques and technologies.
What we're looking for
Basic understanding of machine learning concepts and algorithms.
Experience with Python.
Familiarity with machine learning libraries such as PyTorch, TensorFlow, or scikit-learn.
Comfortable working with data and writing clean, maintainable code.
Familiarity with Git.
Good problem-solving skills.
Strong written and verbal English communication.
Nice to have
Experience with large language models (LLMs).
Experience with cloud platforms such as AWS, GCP, or Azure.
Familiarity with SQL.
Experience deploying ML models.
Personal projects or open-source contributions related to AI or machine learning.
Requirements
1+ year of experience in machine learning, software engineering, data science, or a related technical role
or
strong personal projects demonstrating ML skills.
Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field is a plus, but not required.
Passion for learning and building AI solutions.
What we offer
Fully remote work.
Flexible working environment.
Opportunity to work on real AI products.
Challenging technical problems with room to grow.
Collaborative and fast-moving team.
Competitive compensation based on experience.
Location: Athens; Limassol; Nicosia; Thessaloniki
Workplace: hybrid
The Role:
We are looking for a Senior Data Scientist specializing in Graph AI to join our growing Data Science team. In this role, you will design and deploy production-grade graph machine learning solutions, working with Graph Neural Networks (GNNs), graph databases, and large-scale datasets to solve complex real-world problems.
You will play a key role in shaping the company's Graph AI capabilities, collaborating with cross-functional teams and mentoring other data scientists while delivering innovative, business-impacting solutions.
The main responsibilities of the position include:
Design, develop, and deploy Graph Neural Networks (GNNs) and graph-based machine learning solutions
Transform large, complex datasets into graph representations and extract actionable insights using advanced analytics, graph algorithms, and statistical techniques.
Drive the adoption of Graph AI across the organisation by
identifying
new use cases and contributing to the evolution of the company's data science strategy.
Communicate complex technical concepts and model outcomes clearly to both technical and business audiences.
Ensure
high standards
in data preparation, feature engineering, model evaluation, documentation, and code quality
.
Leverage
technologies such as Python, Graph Neural Networks, graph databases, modern ML frameworks, and cloud-based data platforms
to build innovative data solutions
Ensure adherence to best practices in data quality, model monitoring, version control, and reproducible analytics
Lead and supervise a team of data scientists working on graph-related tasks
Partner closely with Data Engineers, Software Engineers, Product Managers, and business stakeholders to translate business challenges into scalable Graph AI solutions.
Main requirements:
University degree in Mathematics, Physics, Computer Science, Engineering, Data Science, or a related quantitative field
At least 6 years of experience in data science, machine
learning
and AI
, including hands-on experience in designing,
training
and optimising Graph Neural Networks (GNNs) for production applications.
Experience working with relational and non-relational databases
Solid experience working with graph databases (e.g., Neo4j, Neptune) and
proficiency
in graph query languages (e.g., Cypher or Gremlin).
Experience with data visualization tools such as Matplotlib, Seaborn, or
Plotly
Strong programming skills in Python and
experience with Pandas, NumPy
, and similar data analysis
libraries
Strong analytical thinking, problem-solving ability, and attention to detail
.
Excellent communication skills and the ability to work collaboratively in a team environment
Fluent in English
Benefit from:
Attractive
remuneration
package plus performance related reward
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.
Задачи:
• Собирать, анализировать и интерпретировать бизнес-данные
• Создавать отчёты и дашборды для поддержки принятия решений
• Выявлять тренды и предоставлять практические рекомендации
• Обеспечивать точность данных и поддерживать качество отчётности
Требования:
• Опыт работы с SQL, Excel, Power BI или Tableau
• Сильные навыки визуализации данных и аналитики
• Знание Python или R является плюсом
• Отличные навыки решения проблем, внимание к деталям и коммуникабельность
• Способность работать самостоятельно в удалённом режиме
Условия:
• Полная занятость
• Удалённая работа (весь мир)
Требование к отклику: предоставить обновлённое резюме и видео или аудио представление через Loom.
Крайний срок подачи заявок: 16 августа 2026 года.
Location: Europe; United States
Workplace: Remote
ABOUT CANTINA:
Cantina Labs is a social AI company, developing a suite of advanced real-time models that push the boundaries of expression, personality, and realism. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning.
If you're excited about the potential AI has to shape human creativity and social interactions, join us in building the future!
ABOUT THE ROLE:
We are looking for an ML Engineer to own the production inference stack for our text-to-speech (TTS) and speech recognition (ASR) models, end to end. Our research team delivers trained model checkpoints; you will productionize them as low-latency, real-time streaming services that run cost-efficiently on GPUs. The role covers the inference engines, the Kubernetes infrastructure they run on, and the performance benchmarking and accuracy validation that let us ship changes safely. You will bridge research and production, and own latency, throughput, cost and accuracy as we scale.
WHAT YOU’LL DO:
- Build and optimize streaming inference engines for TTS and ASR models, including multi-stage model pipelines.
- Optimize latency (time to first chunk, p50/p99) and throughput using continuous batching, CUDA Graphs, torch.compile and mixed precision.
- Maintain numerical parity with the reference implementation through automated accuracy regression tests, per stage and end to end.
- Deploy and operate GPU inference services on Kubernetes: autoscaling, containerization and infrastructure as code.
- Build CI/CD for model artifacts, with model versioning and reproducible releases.
- Own observability and performance benchmarking: p50/p99 latency, real-time factor (RTF), GPU utilization and cost per request.
- Partner with research to productionize new models.
WHAT YOU’LL BRING:
- Hands-on experience deploying, scaling and optimizing ML models in production, beyond consuming model APIs.
- Working knowledge of the full inference stack, from CUDA kernels to serving frameworks, with depth in some layers; expertise across all of them is not expected.
- GPU performance optimization: profiling (Nsight Systems, PyTorch Profiler), memory bandwidth, CPU-GPU synchronization.
- Solid understanding of model serving: continuous batching, KV cache management, request scheduling.
- Production experience with Kubernetes, CI/CD and cloud infrastructure.
- Strong Python and PyTorch, and a rigorous approach to performance benchmarking.
- Experience with speech or audio models (TTS, ASR, voice conversion).
- Experience with inference frameworks such as vLLM (vLLM-Omni), SGLang, TensorRT-LLM, TensorRT or Triton Inference Server.
COMPENSATION:
When determining compensation, a number of factors will be considered, including skills, experience, job scope, location, and competitive compensation market data.
BENEFITS FOR U.S.-BASED ROLES:
- Competitive salary and generous company equity
- Medical, dental, and vision insurance – 99.99% of premiums covered by Cantina
- 42 days of paid time off, including:
- 15 PTO days
- 10 sick days
- 15 company holidays
- 2 floating holidays
- Generous parental leave & fertility support
- 401(k) retirement savings plan
- Lifestyle spending account – $500/month to use however you’d like
- Complimentary lunch and snacks for in-office employees
- One Medical membership, and more!
Location: Montreal, Canada
The Satellite-Level Verification and Validation (V&V) Engineer focuses on the highest tier of spacecraft integration, ensuring the fully assembled satellite meets all mission, launch provider, and environmental requirements.
Role Overview
This role manages the
end-to-end verification lifecycle
at the highest tier of architecture. It starts at the beginning of the program with verification planning and test methodology design, continues through full-system functional and environmental validation, and concludes with final qualification sign-off and in-orbit initialization readiness.
Key Responsibilities & Tasks
Verification Architecture & Matrix Ownership:
Define the global verification strategy; author the System Verification Plan (SVP) and own the master Verification Control Matrix (VCM) to prove 100% requirement compliance.
Method of Compliance (MoC) Definition:
Determine the optimal, most cost-effective blend of Verification by Test, Analysis, Demonstration, and Inspection (TADI) for complex mission-level requirements.
End-to-End Mission Validation:
Design and execute full-system functional tests, "Day-in-the-Life" (DITL) mission simulations, and complex Fault Detection, Isolation, and Recovery (FDIR) validation scenarios.
Environmental & Launch Qualification:
Define test profiles, pass/fail criteria, and post-test correlation frameworks for full spacecraft environmental campaigns (Thermal Vacuum, Sine-Vibe, Acoustic, Shock).
Sign-off & Qualification Review:
Lead Technical Review Boards, manage non-conformance reports (NCRs), present compliance evidence at Qualification Reviews (QR), and build the final Flight Readiness data package.
Candidate Prerequisites ("Must Haves")
Experience:
5+ years in aerospace systems engineering, systems V&V, or space mission qualification roles.
Systems Engineering Mastery:
Deep understanding of how platform subsystems and digital/RF payloads interact to satisfy top-level mission performance metrics.
Requirements Management:
Expert-level capability in tracing, decomposing, and closing out complex requirements using enterprise tools like DOORS, Jama, or Windchill.
Data Synthesis & Analysis:
Advanced skills using Python or MATLAB to parse multi-subsystem telemetry, correlate test data with analytical models, and automate post-test verification reporting.
Location: New York, New York, United States
About the Role
iCapital’s Distributed Ledger Technology team is looking to hire a Senior Blockchain Backend Engineer to develop an industry-wide distributed ledger solution for the alternative investment ecosystem to facilitate access to private markets investments for advisors and their high-net-worth clients using innovative technology solutions. The ideal candidate is able to understand complex business problems, scope projects, identify business opportunities, optimize workflows, and communicate their findings across all levels of the organization. This role is highly visible and involves working closely with other teams in Engineering, Product, senior leadership, and industry partners.
Responsibilities
Design and implement a private and permissioned distributed ledger using DAML or Canton and other open source blockchain frameworks.
Build and maintain a RESTful API using Python and FastAPI.
Provide technical leadership to motivate and guide team members and mentor junior engineers.
PArticipate in daily stand-up meetings and peer code reviews as part of the standard SDLC.
Stay current with the latest developments in blockchain technology and incorporate them into the iCapital ecosystem.
Qualifications
9+ years software engineering experience building enterprise SaaS cloud-based solutions
3+ year technical leadership and management experience
Experience with DAML, Solidity, or other blockchain programing languages
Experience with Python, Toke and FastAPI
Demonstrated understanding of relational database concepts and modeling practices
Experience building APIs for large scale applications using AWS
Benefits
The base salary range for this role is $150,000 to $200,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.
For additional information on iCapital, please visit
https://www.icapitalnetwork.com/about-us
Twitter: @icapitalnetwork | LinkedIn:
https://www.linkedin.com/company/icapital-network-inc
| Awards Disclaimer:
https://www.icapitalnetwork.com/about-us/recognition/
iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Location: New York, New York, United States
About the Role
The Backend Engineer at iCapital will play an integral role in designing and implementing systems that power the iCapital platform. We are looking for engineers who can build APIs and applications that are highly performant and intuitive. More than checking the boxes on specific technologies, we are looking for driven team members with technical depth and a desire to deliver end products for our clients.
You will work closely with our Product Management team throughout the software development process, detailing requirements, reviewing work in progress, and addressing issues found via testing.
Our platform sits on top of a micro-services architecture with services built in Scala, Ruby, Node.js and Python. If you are not already familiar with the technologies used at iCapital, you will have the opportunity to pick up these new tools and technologies while on the job—with support from management and mentors.
Responsibilities
Building cloud native services using Scala using open-source frameworks Akka, ZIO etc.
Unit and integration test development using Scala Test and ZIO Test
Active participation in stand-up meetings
Active participation in Peer Code Reviews as part of our standard SDLC and Change Management Process
Qualifications
Degree in Software Engineering
5+ years of web-based application development
Experience in Scala, Node.js or Java a plus
Demonstrated understanding of relational or NoSQL database concepts and modeling practices
Passion for actively learning new technologies
Ability to work independently or as part of a group effort, as required
Solid problem-solving abilities
Excellent communication skills
Collaborative approach to software development
Benefits
The base salary range for this role is $130,000 to $170,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.
For additional information on iCapital, please visit
https://www.icapitalnetwork.com/about-us
Twitter: @icapitalnetwork | LinkedIn:
https://www.linkedin.com/company/icapital-network-inc
| Awards Disclaimer:
https://www.icapitalnetwork.com/about-us/recognition/
iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Location: Montréal
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
Role Summary
We are seeking an Applied AI, Forward Deployed Engineer to build customer use cases on top of the Mistral stack. You will turn "we have agents" into "we shipped something a client uses." This role is about composing cybersecurity-related agentic workflows, configuring harnesses for real-world scenarios, and delivering value directly to clients.
As a Forward Deployed Engineer at Mistral, you may also work on use cases outside cybersecurity, bringing the same context engineering, orchestration, and eval work to enterprise workflows in finance, manufacturing, defense, or the public sector.
What You Will Do
- Client-Facing Agentic Solutions
- You'll individually help deploy into production use cases with considerable business impact across various industries, with cybersecurity client assignments as a priority
- You'll work on state-of-the-art GenAI applications, driving a crucial technological transformation together with our customers
- Tackle iconic use cases that no existing solution on the market can address - from custom configuration of cybersecurity harnesses for cloud defense, to optimizing agentic vulnerability scanning solutions, to customizing agentic red-teaming solutions or penetration testing scenarios
- You'll work directly on client use cases, translating security requirements into agentic solutions
- You'll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations, providing technical guidance on our products and explaining Mistral technologies to various stakeholders
- You'll collaborate with our product and science teams to continuously improve our product and model capabilities based on customer feedback
How We Work in Applied AI
- We care about people and outputs
- What matters is what you ship, not the time you spend on it
- Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week
- Always ask why. The best solutions come from deep understanding, not from copying what worked before
- We say what we mean. Feedback is direct, timely, and given because we care
- No politics. Low ego, high standards
- We embrace an unstructured environment and find joy in it
About You
- You are fluent in English
- You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products
- You have proven experience in AI or machine learning product implementation with APIs, back-end, and front-end interfaces
- You have experience tackling advanced RAG, building agentic use cases, or fine-tuning LLMs
- You have a deep understanding of the concepts and algorithms underlying machine learning and LLMs
- You have strong technical coding skills in Python
- You have strong communication skills, with an ability to explain complex technical concepts in simple terms to both technical and non-technical audiences
Ideally, you have:
- Contributed to open-source projects, in particular in the space of LLMs
- Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Technical Product Manager
- Hands-on experience building agents, LLM orchestration, context engineering, evals, and RAG systems
- A bias toward action and delivery - you ship fast
- The ability to operate independently with a customer-led mindset
- The ability to reuse internal building blocks and components effectively
- Strong problem-solving abilities and attention to detail
- A collaborative attitude
- Pentesting knowledge
- Experience developing a cybersecurity product
- Experience building agentic harnesses or multi-agent systems end-to-end
- A strong background in evals and benchmarking of agent systems
- Experience with security tooling or workflows
- Prior work on production AI systems in regulated or high-stakes environments
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Задачи:
- Поддержка и развитие существующих AI-модулей системы онлайн-прокторинга
- Определение отсутствия лица и нескольких лиц в кадре
- Реализация Face ID и проверки личности пользователя
- Разработка Liveness-проверки (моргание, улыбка, движения головы, контроль дистанции до камеры)
- Определение поворотов головы и направления взгляда
- Анализ положения тела и правильности посадки пользователя
- Выявление ухода пользователя из кадра и поворота от рабочей зоны
- Обнаружение посторонних людей и объектов в кадре
- Детекция смартфонов, наушников, часов и других гаджетов
- Распознавание мониторов, ноутбуков, клавиатур, мышей и других объектов рабочего места
- Определение посторонних движений и плохого освещения
- Снижение количества ложных срабатываний моделей
- Обучение, дообучение и замена AI-моделей
- Оптимизация моделей с использованием CUDA
- Интеграция AI-модулей через API
- Развертывание локальных LLM на собственных серверах
- Работа с моделями Qwen, Llama, Mistral, Gemma и другими open-source LLM
- Интеграция GPT, Claude, Gemini и других LLM через API
- Подбор и оптимизация AI-моделей под задачи продукта
- Внедрение новых AI-библиотек и технологий
Требования:
- Уверенное владение Python
- Практический опыт работы с Computer Vision
- Практический опыт работы с LLM
- Опыт локального развертывания open-source LLM
- Опыт интеграции облачных LLM через API
- Умение работать с существующим кодом и готовыми моделями
- Опыт запуска и оптимизации моделей на GPU
- Готовность поддерживать существующие AI-модули и разрабатывать новые
- Самостоятельность и умение доводить решения до production
- Проживание в Астане
Будет плюсом:
- Опыт работы с Hugging Face и Ollama/vLLM
- Опыт использования TensorRT, ONNX и OpenVINO
- Опыт разработки систем реального времени
- Опыт создания AI-продуктов для Computer Vision
Условия:
- Полная занятость
- Возможна стажировка
- Официальное трудоустройство
- Формат работы: удаленно
- График 5/2 или свободный
- Рабочий день — 8 часов или по договоренности
- Заработная плата от 400 000 до 600 000 ₸ до вычета налогов
- Долгосрочная работа над действующим AI-продуктом
- Формат работы и уровень оплаты обсуждаются индивидуально
Location: USA - Austin (dbt)
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
Location: This role is based in Austin, with an expectation of being in the office 2-3 days per week.
About the Role As a Solutions Engineer (SE), your role is to help prospects understand the value that dbt Cloud can bring to their organization. You’ll lead technical discussions with prospective customers, uncover their data challenges, and demonstrate how dbt Cloud can meet their needs through live demos and technical workshops.
Internally, you’ll contribute to building and refining our processes and playbooks, while acting as the voice of the customer to ensure we continue developing products that solve real problems and delight our users.
What You’ll Do
Spend the majority of your time on pre-sales opportunities to understand customer use cases and identify the value dbt Cloud can bring to their organization
Consult with potential customers to uncover their data challenges and highlight how dbt Cloud can alleviate pain points and support their goals
Own the demonstration of technical and business impact by delivering tailored demos of dbt Cloud and providing expert guidance
Collaborate closely with Account Executives, building strong, trust-based relationships and offering strategic input throughout the deal process
Maintain ongoing relationships with technical stakeholders within your accounts
Partner with internal teams to improve how we work together, represent the voice of the customer in product discussions, and contribute to cross-functional initiatives
Participate in our knowledge-sharing loop by helping improve team processes, refining assets, and enabling others through collaboration
Create and deliver external-facing content through live events, blog posts, recorded tutorials, or other educational resources
What You’ll Need
4+ years of experience as a data practitioner or consultant in data operations or analytics
Strong technical foundation, with a solid understanding of modern data warehousing architectures, the modern data stack, and proficiency in SQL
Prior experience with dbt is preferred; bonus points for dbt certification
Experience working asynchronously as part of a partially remote, distributed team
High degree of comfort presenting to diverse stakeholders or audiences, ideally in an externally facing role
Ability to operate effectively in ambiguous, fast-paced environments and think on your feet during customer conversations
Desire to be a strong team player—both within the SA team as we evolve our ways of working, and in daily collaboration with Account Executives as part of a deal team
Openness to travel; we value the power of in-person relationship building, both internally and externally, and expect willingness to travel to events as needed
What Will Make You Stand Out
Basic python competency and advanced SQL knowledge
Proven experience in a pre-sales tech role
Experience with traditional ETL tooling
Remote
Hiring Process
Interview with a Talent Acquisition Partner
Hiring Manager Interview
Technical Screen
Team Interviews with a demo
Benefits
Unlimited vacation time with a culture that actively encourages time off
401k plan with 3% guaranteed company contribution
Comprehensive healthcare coverage
Generous paid parental leave
Flexible stipends for:
Cell Phone & Internet
Learning & Development
Office Space
Compensation
We offer competitive compensation packages commensurate with experience, including salary, equity, and where applicable, performance-based pay. Our Talent Acquisition Team can answer questions around dbt Lab’s total rewards during your interview process.
#LI-HYBRID
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Pay Range
$140,000
—
$160,000 USD
OTE (On Target Earning)
$175,000
—
$200,000 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Задачи:
— Запуск, управление и оптимизация кампаний по привлечению пользователей в Google и других каналах.
— Подготовка настроек кампаний и поддержание рекламных операций.
— Мониторинг и улучшение эффективности кампаний и маркетинга.
— Сбор, анализ и интерпретация данных по привлечению для выявления возможностей роста.
— Тестирование и масштабирование новых источников трафика, каналов и подходов.
— Автоматизация операционных и отчетных процессов для повышения эффективности команды.
— Тесное сотрудничество с аналитиками, креативной и продуктовой командами для улучшения показателей привлечения.
— Взаимодействие с рекламными партнерами и менеджерами аккаунтов для разработки и масштабирования кампаний.
— Участие в инициативах по улучшению метрик привлечения, монетизации и удержания.
Требования:
— Опыт в User Acquisition или Performance Marketing с мобильными приложениями или играми.
— Опыт управления мобильными рекламными кампаниями и оптимизации показателей эффективности.
— Понимание логики атрибуции и опыт работы с MMP платформами, такими как AppsFlyer или Adjust.
— Сильные аналитические навыки, комфортная работа с числами и статистикой.
— Базовые знания SQL и опыт работы с данными.
— Базовые навыки Python или желание учиться и использовать скрипты для автоматизации.
— Активное использование AI-инструментов в работе и интерес к созданию AI-автоматизаций.
— Уровень английского B2 или выше.
Будет плюсом:
— Опыт масштабирования кампаний с большими рекламными бюджетами.
— Опыт работы с живыми мобильными играми или игровыми продуктами.
— Опыт проведения креативных экспериментов и сотрудничества с креативными командами.
— Опыт создания дашбордов, автоматизации отчетов или разработки внутренних инструментов.
Условия:
— Медицинская программа (включая стоматологию) или компенсация медицинских расходов, доступная в любом месте работы.
— Медицинская программа для членов семьи при работе в офисах в Кипре, Армении и Казахстане.
— Оплачиваемый отпуск и больничные.
— Возможность работать в офисах или удаленно.
— Спортивные активности (йога, футбол, волейбол) в официальных локациях.
— Пакет поддержки при релокации в официальные офисы.
— Курсы английского языка онлайн, уроки греческого и армянского для сотрудников в Кипре и Армении.
— Участие в гейм-джемах, хакатонах, конференциях и митапах.
— Корпоративные мероприятия: стратегические сессии, воркшопы, вечеринки, конкурсы.
— Поддержка социальных инициатив и участие в благотворительных проектах.
Компания:
Nexters — международная компания по разработке игр, входящая в холдинг GDEV, с офисами на Кипре, в Армении и Казахстане, а также с возможностью удаленной работы.
Location: Warsaw
Workplace: Hybrid
ROLE HIGHLIGHTS:
- Senior AOCS System Engineer
- Location: Warsaw, Poland
- Department: Engineering
- Reports to: Jakub Lisowski, Engineering Manager
- Employment type: Permanent
- Workplace model: Hybrid ( 2- 3 days onsite at our Warsaw office)
- Employment is subject to applicable security screening (incl. SUPO, where required)
WHY THIS ROLE MATTERS:
The Mission of the AOCS Systems Engineer
You ensure that our satellites always point towards the right direction enabling high-quality images.
This role is within AOCS Domain where we are responsible for maintaining attitude and orbit. Your job will be to work closely with production teams, operation teams and software teams to ensure smooth and performant operation of our ADCS and propulsion systems in orbit and on ground. Expect to be involved in the complete lifecycle of the system - from design phases of future ICEYE satellite generations to maintenance of existing systems we, and our customers operate.
You will have a chance to have a direct impact on our mission success as performance and reliability of the AOCS system directly affects the amount and quality of Synthetic Aperture Radar (SAR) data we deliver to our customers.
WHO WE ARE
ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth.
ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system.
ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future.
Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific.
YOUR DAY-TO-DAY RESPONSIBILITIES
- Expected Outcomes:
1. Increased Imaging Performance and Mission Success. You will help driving the performance of our AOCS systems by:
- Driving selection of future AOCS hardware components.
- Characterizing and validating existing AOCS performance by designing and executing in-orbit experiments and analyzing telemetry data with the help of analysis software you develop.
- Developing software tools to predict performance of our future AOCS systems.
2. Maximized AOCS Availability. You will ensure that our systems perform as expected within their design envelope by:
- Maintaining verification procedures and working closely with production and testing teams in implementing process improvements and new test jigs.
- Debugging on-orbit anomalies requiring deep system system understanding and systematic approach towards pinning the root-cause. Understanding an anomaly is a first step towards preventing it in the future.
- Supporting software teams in implementing changes to software to prevent repetition of known issues.
- Work on software tools helping debug AOCS anomalies as they happen.
3. Robust and Predictable AOCS Operations. You will help the team establish and evolve internal processes for anomaly handling and resolution.
WHAT WE’RE LOOKING FOR
Must haves:
- Thinking from a first-principles mindset - your work will often involve resolving in-orbit anomalies, which you will need to tackle in a systematic manner to understand their root-cause and propose solutions to mitigate those in the future.
- Strong understanding of AOCS fundamentals: rigid body motion, differential equations, coordinate transformations, 3d geometry, feedback loops, state estimation. Basic understanding of orbital dynamics.
- Strong understanding of underlying principles of operation and failure modes of sensors and actuators used in AOCS: reaction wheels, magnetorquers, star trackers, gyroscopes, magnetometers, GNSS.
- Strong understanding of performance drivers of AOCS systems.
- Proven track record of owning cross-domain systems involving feedback control loops over their complete lifecycle including maintenance and operations.
- Demonstrated broad knowledge across multiple engineering disciplines including controls, mechanical and electronics. AOCS is an electromechanical system in the and requires broad perspective to understand it fully
- Proficiency in Python, C++ or Matlab.
APPLICATION PROCESS
1. (remote) Talent Acquisition Screening
2. (remote) Hiring Manager interview
3. (remote) Take-home technical task and panel interview
4. (on-site) System thinking workshop
5. (on-site) Behavioural interview to assess cultural fit
WORKING AT ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
HOW WE WORK (OUR VALUES)
Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
- Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions.
- See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
- Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
- Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
- Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
BENEFITS
Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help.
Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.
Задачи:
- Разрабатывать и поддерживать высоконагруженный бэкенд корпоративного портала на Python и FastAPI (async/await, dependency injection, middleware);
- Проектировать схемы и работать с PostgreSQL (SQL) и MongoDB (NoSQL), а также с объектными хранилищами (S3). Интегрировать локальные LLM, работать с векторным хранилищем Qdrant и поисковым движком OpenSearch;
- Настраивать инструменты наблюдаемости (OTEL, Jaeger, Prometheus, Grafana) для отладки распределённых систем. Работать с Docker, Nginx, настраивать CI/CD пайплайны в GitLab;
- Проектировать отказоустойчивые API, участвовать в Code Review, поддерживать высокий стандарт качества кода.
Требования:
- Ключевой стек: Python, FastAPI, PostgreSQL, MongoDB, AI/LLM, Qdrant;
- Core: глубокое знание Python и фреймворка FastAPI: async/await, dependency injection, middleware;
- Базы данных: опыт проектирования схем и работы с PostgreSQL, SQL и MongoDB NoSQL, знание объектных хранилищ S3;
- AI & Search: опыт интеграции локальных LLM, работы с векторными хранилищами Qdrant и поисковыми движками OpenSearch;
- Наблюдаемость: опыт настройки и использования инструментов мониторинга OTEL, Jaeger, Prometheus, Grafana для отладки распределённых систем;
- DevOps: уверенная работа с Docker, Nginx, настройка CI/CD пайплайнов в GitLab;
- Уровень: Middle от 3 лет, Senior от 5 лет; умение проектировать отказоустойчивые API.
Location: New York, New York; New York City Metropolitan Area; New Jersey; Connecticut; San Francisco Bay Area, California
Workplace: remote
About the role:
At Provectus, you don’t prototype in a sandbox and hand a client a slide deck. You embed inside a bank, an insurer, or a health system, learn the work, and ship a Claude + AWS system into their real, regulated production — then you watch the business number move.
We’re an
Anthropic and AWS Partner
with 150+ certified architects. That means the newest models, real budgets, and problems that matter — without the layers, politics, and years-to-impact of a hundred-thousand-person firm. 350+ builders, 100+ customers in production, founder-led since 2010, offices across North America, LATAM, and EMEA.
Why Provectus
Frontier access
— Anthropic Preferred Partner: newest Claude models, real budgets, real problems
Real tasks (not scope), real deployment.
You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive
Embedded, not engaged.
You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Embedded is not staff-augmented
Autonomous.
You own the work from framing through to production, visible to clients and founders. You own the method; nobody hands you a ticket
Your experience stays portable.
Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy-maintenance grind, not a single stack
Craft & growth
— build beside senior FDEs on a Claude-certified team; a real platform (talks, OSS) to grow your name
We give you a stage:
Claude certification, conference talks, open-source contributions, published work under your own name
What You’ll Do:
Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive — and you are the one who builds it
Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously
You won’t start from zero. Provectus builds industry Blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it
Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare
Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice
What We Look For:
Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way
Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly
Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works
You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why
Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack
Cloud-native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits
Pre-sales experience. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room
Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job
Hands-on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses)
Nice to have:
Containers and orchestration (Kubernetes/ECS) and CI/CD in production
IaC depth: AWS CDK, CloudFormation, Terraform
Open-source contributions or public writing on applied AI
What We Offer:
Full-time employment
On-site visits to clients’ facilities and our office in NYC 1/week
Unlimited Vacation policy
Generous health, vision, and dental insurance
401(K) matching plan
Base salary $180k–$200k + bonuses; OTE up to $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data
No Visa sponsorship
How We Hire:
Recruitment interview.
Tech interview with our FDE (30 min).
A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked.
Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows.
4. Soft skills interview.
5. Offer discussion.
We’re real:
A person reads your application.
We filter out AI-generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team
We may ask for a quick ID verification.
Fraudulent applications are common, and this protects real candidates
You’ll meet the people you’d work with.
We host AI engineering events in New York and San Francisco. We'd be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Co-Founder & CEO
ГибридSingapore Office
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
USA - Austin (dbt)
ГибридseniorWarsaw
УдалённоseniorNew York, New York; New York City Metropolitan Area; New Jersey; Connecticut; San Francisco Bay Area, California
