Location: Intellias
Meet your recruiter
Khrystyna Derpak
khrystyna.derpak@intellias.com
https://www.linkedin.com...
Vacancy details
AI/ML Engineering
Data Scientist
Senior
Bulgaria, Croatia, Poland, Portugal, Spain
Remote
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Let’s breathe life into great tech ideas! With 3,000 people globally, Intellias is a company where benchmark technological solutions are born. Join in and take your part in digitalizing the world.
What project we have for you
Join a transformative data and AI platform initiative aimed at modernizing enterprise-scale capabilities and enabling real-time decision-making. This project delivers a comprehensive roadmap covering AI, MLOps, data governance, and platform scalability, supporting a shift towards data-first operations and intelligent automation.
What you will do
Platform setup.
With customer’s platform team, provision and configure the Databricks environment in customer’s cloud account: catalog and permissions, compute (including GPU), secrets, experiment tracking.
Secure data ingestion.
Build repeatable ingestion of raw verification outputs and document images: parsing, pseudonymisation, data-quality checks, schema handling.
Feature engineering at scale.
Implement the feature tables:
batch image-embedding jobs;
exact and approximate linkage keys;
cross-transaction and velocity aggregates;
pseudonymous entity resolution.
Modelling support.
Implement feature-selection and mixed-data clustering methods. Run model comparisons and stability tests, and support density-model training runs.
Automation.
Orchestrate the end-to-end pipeline as a scheduled, idempotent, re-runnable workflow.
Monitoring.
Set up the data-quality and drift-monitoring prototype, with alerting, on feature and score tables.
Privacy engineering.
Implement access controls, provenance fields, lineage and the scripted deletion procedure. Confirm that no raw personal data reaches the analytic layer.
Documentation and handover.
Write runbooks and give a live walkthrough, so engineers can operate everything independently
What you need for this
PySpark & Spark SQL:
Nested-JSON flattening (explode, structs),`mapInPandas` / pandas UDFs, window functions for velocity and distinct-count aggregates, partitioning and performance tuning
Databricks:
Unity Catalog (catalogs, schemas, grants, column masks, tags, lineage), external locations on S3, cluster / compute policies incl. GPU, Auto Loader, Delta (MERGE, time travel, VACUUM), Workflows, Repos, secret scopes
AWS:
S3, IAM roles / instance profiles, KMS decryption in jobs, Secrets Manager, basic cost awareness
Data engineering for ML:
Medallion design (Bronze / Silver / Gold), schema evolution, idempotent loads, DQ profiling, Feature Engineering in UC (feature tables)
Pseudonymisation in pipelines:
HMAC tokenization with per-key-type keys, normalisation (Unicode NFKD, case, token sort), phonetic keys, never logging raw values, scripted deletion (DROP / VACUUM / secret destruction)
Entity resolution (implementation):
Blocking / candidate generation with exact and approximate keys, edit-distance tolerance, match scores, surrogate IDs, conflict counting rather than merging
Image processing at scale:
Running a GPU batch job that decrypts, crops and embeds images in memory (PyTorch / timm), PCA, LSH bucketing
Mixed-data clustering:
Hands-on:
`kmodes` (k-prototypes), `gower` + `kmedoids` with sampling, R `kamila` on Databricks, `StepMix` (latent class), bootstrap ARI
Bayesian statistical analysis:
Hands-on experience applying Bayesian methods to real-world data problems, including prior/posterior modelling, Bayesian inference, uncertainty estimation, and interpretation of probabilistic results.
Feature selection:
Mutual information, correlation pruning, PCA. Can run a BPSO / GA search with`mealpy`
MLOps & monitoring: M*Lflow experiments and registry (aliases),
Lakehouse Monitoring
* (profile and drift metrics on Delta tables), SQL alerts, PSI / JS divergence
Handover:
Writes runbooks and README-level documentation. Leaves a single end-to-end Workflow that someone else can run
Nice to have
Experience with AssureID / identity-verification JSON outputs.
PyOD and basic PyTorch training (to support A on the VAEs in week 2).
What it’s like to work at Intellias
At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth.
We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law.
We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.
Skills
AWS
Python
Location: Lviv
Workplace: onsite
Ajax Systems, an international tech company and the largest manufacturer of security systems in Europe.
We are looking for a new team member to join our System devisions as Java Developer.
The System Division is responsible for building and developing the Ajax software ecosystem. The team develops and maintains OS Malevich and the Video Management System, builds scalable cloud infrastructure, and creates client applications for multiple platforms, ensuring that all system components work together as a unified ecosystem.
The division works with Java, Kotlin, Swift, C, C++, and Python. It includes embedded, cloud, mobile, and desktop engineers who ensure the stable operation of Ajax as a single digital platform.
Required skills:
5+ years of commercial experience in backend development with Java in an enterprise environment.
Strong understanding of Java Concurrency and hands-on experience with concurrent programming in production systems.
Solid understanding of SOA, microservices and event-driven architecture.
Practical experience with cloud computing platforms.
Experience building and supporting high-load, scalable and highly available systems;
Hands-on experience with messaging brokers.
Strong understanding of modern backend infrastructure, NoSQL, key-value databases and in-memory storage solutions.
Practical experience with Kubernetes.
Experience with Git, Gradle or othet CI/CD tools.
Strong knowledge of unit testing and automated testing approaches
Would be a plus:
Location: Paris
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data-driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT's collaborative mindset, enabling us to solve complex challenges. Our culture of innovation continuously drives our ambition to deliver high-quality returns for our investors.
Your future role within QRT:
Design and build high-performance, reliable software systems and reusable components.
Take ownership of technical design and implementation, contributing to architectural decisions and evolving existing systems.
Solve challenging engineering problems involving concurrency, performance, and system reliability.
Investigate and troubleshoot complex issues to improve system robustness and efficiency.
Contribute to code reviews, automated testing and engineering best practices.
Collaborate with researchers and engineering teams to understand requirements and deliver effective technical solutions.
Your present skillset:
Excellent computer science fundamentals, particularly algorithms, data structures and system design.
Strong proficiency in at least one programming language such as
Python
, Rust, C++, Go or Java.
Hands-on experience designing and building software systems, with a strong sense of ownership.
Good understanding of multithreading, asynchronous I/O, memory management and performance optimization.
Experience developing reliable, production-grade software, with strong debugging and testing practices.
Comfortable working in Linux environments.
Curious, proactive and comfortable tackling complex technical challenges.
Excellent communication skills and ability to collaborate effectively across teams.
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we offer initiatives and programs to help employees maintain a healthy work-life balance.
Paris
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Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Location: Yerevan, Armenia
About Workato
Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit
workato.com
.
Why join us?
Ultimately, Workato believes in fostering a
flexible, trust-oriented culture that empowers everyone to take full ownership of their roles
. We are driven by
innovation
and looking for
team players
who want to actively build our company.
But, we also believe in
balancing productivity with self-care
. That’s why we offer all of our employees a vibrant and dynamic work environment
along with a multitude of benefits
they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
Business Insider
named us an “enterprise startup to bet your career on”
Forbes’ Cloud 100
recognized us as one of the top 100 private cloud companies in the world
Deloitte Tech Fast 500
ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
Quartz
ranked us the #1 best company for remote workers
Responsibilities
The Engine team develops and maintains core components of the Workato Recipe runtime. Scope includes recipe execution, DSL, event pulling, webhook processing, and job execution. The team owns trigger and event infrastructure that defines how integrations start and react to external events. Current focus: modernization of a high-throughput platform to improve reliability, scalability, and long-term evolvability. Work is platform-oriented and directly impacts runtime performance and system correctness.
In this role, y
ou will also be responsible to:
Design and implement distributed backend systems in Go with deep consideration of performance and memory behavior.
Work on runtime-level components operating under high concurrency and throughput.
Apply in-depth knowledge of Go internals (scheduler, memory model, garbage collection behavior) to improve system efficiency.
Design and optimize concurrent workflows using goroutines, channels, synchronization primitives, and context propagation.
Analyze and optimize slice usage, memory allocations, and data structures for performance-critical paths.
Improve execution engine for custom third-party code (isolation, performance, feature extensions).
Modernize runtime components with focus on modularity, structured architecture, and observability.
Improve trigger configuration and execution across webhooks and polling mechanisms.
Integrate and optimize data storage solutions (Postgres, S3, DynamoDB, Kafka, ClickHouse).
Identify bottlenecks, race conditions, deadlocks, and performance degradation in distributed systems.
Own initiatives end-to-end, from design to rollout and production support.
Conduct code reviews with emphasis on correctness, concurrency safety, and performance characteristics.
Requirements
Qualifications / Experience / Technical Skills
Strong experience in building scalable distributed backend applications (7+ years).
Great understanding of all building blocks of large web applications: databases, load balancers, application servers, message brokers, caching, monitoring, etc.
Good understanding of network protocols and stacks.
Good understanding of DB technologies: classic databases and modern no-SQL.
Knowledge of basic data structures and algorithms and how they are used is a must.
Multilingual programming experience: our code base is primarily in Ruby, with trend to migrate to GOlang and Rust.
Excellent debugging, analytical, problem solving, and social skills.
BS/MS degree in Computer Science, Engineering or a related subject, 7+ years of industry experience.
Readiness to work remotely with teams distributed across the world and timezones.
Nice to Haves
Background in network programming.
Background in application, data security.
Deep knowledge of physical DB design.
Experience of working with Docker and other isolation technologies.
Experience of working with public cloud infrastructure providers(AWS/Azure/Google Cloud).
Experience in related fields (DevOps, ML, DBA, Enterprise applications, etc).
Experience in building/deploying data processing pipelines is a plus.
Experience of working with third-party REST APIs at scale (request throttling, batch processing etc).
Location: Remote — We are hiring candidates based in Germany, Armenia, Georgia, Portugal, Poland, the Netherlands, Serbia, Armenia, Georgia, Greece, and Spain.
(REQ ID: 2997)
Location: Berlin, Germany; Frankfurt, Germany; Munich, Germany
About Workato
Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit
workato.com
.
Why join us?
Ultimately, Workato believes in fostering a
flexible, trust-oriented culture that empowers everyone to take full ownership of their roles
. We are driven by
innovation
and looking for
team players
who want to actively build our company.
But, we also believe in
balancing productivity with self-care
. That’s why we offer all of our employees a vibrant and dynamic work environment
along with a multitude of benefits
they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
Business Insider
named us an “enterprise startup to bet your career on”
Forbes’ Cloud 100
recognized us as one of the top 100 private cloud companies in the world
Deloitte Tech Fast 500
ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
Quartz
ranked us the #1 best company for remote workers
Responsibilities
The Engine team develops and maintains core components of the Workato Recipe runtime. Scope includes recipe execution, DSL, event pulling, webhook processing, and job execution. The team owns trigger and event infrastructure that defines how integrations start and react to external events. Current focus: modernization of a high-throughput platform to improve reliability, scalability, and long-term evolvability. Work is platform-oriented and directly impacts runtime performance and system correctness.
In this role, y
ou will also be responsible to:
Design and implement distributed backend systems in Go with deep consideration of performance and memory behavior.
Work on runtime-level components operating under high concurrency and throughput.
Apply in-depth knowledge of Go internals (scheduler, memory model, garbage collection behavior) to improve system efficiency.
Design and optimize concurrent workflows using goroutines, channels, synchronization primitives, and context propagation.
Analyze and optimize slice usage, memory allocations, and data structures for performance-critical paths.
Improve execution engine for custom third-party code (isolation, performance, feature extensions).
Modernize runtime components with focus on modularity, structured architecture, and observability.
Improve trigger configuration and execution across webhooks and polling mechanisms.
Integrate and optimize data storage solutions (Postgres, S3, DynamoDB, Kafka, ClickHouse).
Identify bottlenecks, race conditions, deadlocks, and performance degradation in distributed systems.
Own initiatives end-to-end, from design to rollout and production support.
Conduct code reviews with emphasis on correctness, concurrency safety, and performance characteristics.
Requirements
Qualifications / Experience / Technical Skills
Strong experience in building scalable distributed backend applications (7+ years).
Great understanding of all building blocks of large web applications: databases, load balancers, application servers, message brokers, caching, monitoring, etc.
Good understanding of network protocols and stacks.
Good understanding of DB technologies: classic databases and modern no-SQL.
Knowledge of basic data structures and algorithms and how they are used is a must.
Multilingual programming experience: our code base is primarily in Ruby, with trend to migrate to GOlang and Rust.
Excellent debugging, analytical, problem solving, and social skills.
BS/MS degree in Computer Science, Engineering or a related subject, 7+ years of industry experience.
Readiness to work remotely with teams distributed across the world and timezones.
Nice to Haves
Background in network programming.
Background in application, data security.
Deep knowledge of physical DB design.
Experience of working with Docker and other isolation technologies.
Experience of working with public cloud infrastructure providers(AWS/Azure/Google Cloud).
Experience in related fields (DevOps, ML, DBA, Enterprise applications, etc).
Experience in building/deploying data processing pipelines is a plus.
Experience of working with third-party REST APIs at scale (request throttling, batch processing etc).
(REQ ID: 2997)
Location: Barcelona, Spain; Madrid, Spain
About Workato
Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit
workato.com
.
Why join us?
Ultimately, Workato believes in fostering a
flexible, trust-oriented culture that empowers everyone to take full ownership of their roles
. We are driven by
innovation
and looking for
team players
who want to actively build our company.
But, we also believe in
balancing productivity with self-care
. That’s why we offer all of our employees a vibrant and dynamic work environment
along with a multitude of benefits
they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
Business Insider
named us an “enterprise startup to bet your career on”
Forbes’ Cloud 100
recognized us as one of the top 100 private cloud companies in the world
Deloitte Tech Fast 500
ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
Quartz
ranked us the #1 best company for remote workers
Responsibilities
The Engine team develops and maintains core components of the Workato Recipe runtime. Scope includes recipe execution, DSL, event pulling, webhook processing, and job execution. The team owns trigger and event infrastructure that defines how integrations start and react to external events. Current focus: modernization of a high-throughput platform to improve reliability, scalability, and long-term evolvability. Work is platform-oriented and directly impacts runtime performance and system correctness.
In this role, y
ou will also be responsible to:
Design and implement distributed backend systems in Go with deep consideration of performance and memory behavior.
Work on runtime-level components operating under high concurrency and throughput.
Apply in-depth knowledge of Go internals (scheduler, memory model, garbage collection behavior) to improve system efficiency.
Design and optimize concurrent workflows using goroutines, channels, synchronization primitives, and context propagation.
Analyze and optimize slice usage, memory allocations, and data structures for performance-critical paths.
Improve execution engine for custom third-party code (isolation, performance, feature extensions).
Modernize runtime components with focus on modularity, structured architecture, and observability.
Improve trigger configuration and execution across webhooks and polling mechanisms.
Integrate and optimize data storage solutions (Postgres, S3, DynamoDB, Kafka, ClickHouse).
Identify bottlenecks, race conditions, deadlocks, and performance degradation in distributed systems.
Own initiatives end-to-end, from design to rollout and production support.
Conduct code reviews with emphasis on correctness, concurrency safety, and performance characteristics.
Requirements
Qualifications / Experience / Technical Skills
Strong experience in building scalable distributed backend applications (7+ years).
Great understanding of all building blocks of large web applications: databases, load balancers, application servers, message brokers, caching, monitoring, etc.
Good understanding of network protocols and stacks.
Good understanding of DB technologies: classic databases and modern no-SQL.
Knowledge of basic data structures and algorithms and how they are used is a must.
Multilingual programming experience: our code base is primarily in Ruby, with trend to migrate to GOlang and Rust.
Excellent debugging, analytical, problem solving, and social skills.
BS/MS degree in Computer Science, Engineering or a related subject, 7+ years of industry experience.
Readiness to work remotely with teams distributed across the world and timezones.
Nice to Haves
Background in network programming.
Background in application, data security.
Deep knowledge of physical DB design.
Experience of working with Docker and other isolation technologies.
Experience of working with public cloud infrastructure providers(AWS/Azure/Google Cloud).
Experience in related fields (DevOps, ML, DBA, Enterprise applications, etc).
Experience in building/deploying data processing pipelines is a plus.
Experience of working with third-party REST APIs at scale (request throttling, batch processing etc).
Location: Remote — We are hiring candidates based in Germany, Armenia, Georgia, Portugal, Poland, the Netherlands, Serbia, Armenia, Georgia, Greece, and Spain.
(REQ ID: 2997)
Location: Kyiv
Workplace: onsite
Ajax Systems, an international tech company and the largest manufacturer of security systems in Europe.
We are looking for a new team member to join our System devisions as Java Developer.
The System Division is responsible for building and developing the Ajax software ecosystem. The team develops and maintains OS Malevich and the Video Management System, builds scalable cloud infrastructure, and creates client applications for multiple platforms, ensuring that all system components work together as a unified ecosystem.
The division works with Java, Kotlin, Swift, C, C++, and Python. It includes embedded, cloud, mobile, and desktop engineers who ensure the stable operation of Ajax as a single digital platform.
Required skills:
5+ years of commercial experience in backend development with Java in an enterprise environment.
Strong understanding of Java Concurrency and hands-on experience with concurrent programming in production systems.
Solid understanding of SOA, microservices and event-driven architecture.
Practical experience with cloud computing platforms.
Experience building and supporting high-load, scalable and highly available systems;
Hands-on experience with messaging brokers.
Strong understanding of modern backend infrastructure, NoSQL, key-value databases and in-memory storage solutions.
Practical experience with Kubernetes.
Experience with Git, Gradle or othet CI/CD tools.
Strong knowledge of unit testing and automated testing approaches
Would be a plus:
experience with these technologies: Redis, Netty, Akka, NATS, AWS, Kafka, MongoDB, gRPC.
Practical experience with Kotlin.
Desire to grow into a team leadership role.
What you will do:
design and develop core backend services and data pipelines for the product line.
Build clean, maintainable, and production-ready code with a strong focus on quality.
Contribute to backend architecture, drive technical decisions and document solutions for reliable deployment and operations.
Ensure proper test coverage with unit and integration tests.
Take ownership of performance, scalability and cost efficiency within your domain.
Maintain production reliability through monitoring, alerting, dashboards, and runbooks.
Investigate and resolve production issues, including deep-dive analysis of complex cases.
Work in a strong engineering culture with testing, continuous delivery and DevOps practices.
Collaborate closely with product and engineering teams to deliver new features and improve existing services.
We offer:
The opportunity to suggest and implement your own ideas that directly influence the product and its mass production
A place in a fast-growing company with a motivated and professional team
Competitive salary
Medical insurance
English classes
The opportunity to participate in Ajax’s internal beta-testing program for security systems
Discounts from partner companies
Discounts on Ajax products
Location: New York, Chicago, or Remote
CCC Intelligent Solutions Inc. (CCC) is a leading cloud platform for the
multi-trillion-dollar
insurance economy
,
creating intelligent experiences for insurers, repairers, automakers, part suppliers, and more. At CCC, we’re making life just work by empowering more than 35,000 businesses with industry-leading technology to get drivers back on the road and to health quickly and
seamlessly. We’re
pushing boundaries with innovative AI solutions that simplify and enhance the claims and repair
journey. Through
purposeful innovation and the strength of its connections, CCC technologies empower the people and industry relied upon to keep lives moving forward when it matters most. Learn more about CCC at
www.cccis.com
.
The Role
As a Senior Software Engineer - Agentic you will build the event-driven systems that keep claims moving for our customers, connecting our AI agents to the rest of CCC. When these systems work, claims move faster and the machinery stays invisible. Agentic coding tools are how you move fast. What you add is what they are worst at: distributed-systems design, correctness when things fail partway, and the debugging nobody else gets to the bottom of. You own a product area end to end and define the reliability bar it ships against.
Salary range is:
$180,000 - 225,000
This position is bonus eligible.
Key Responsibilities:
Own the delivery of backend services, built in Python and TypeScript, from an ambiguous problem, scoped with product managers and data scientists, through production operation.
Build and operate durable, event-driven, multi-tenant systems in which agents run as steps inside deterministic workflows, designing their failure modes, replay semantics, and cost profile before they show up under load.
Own tracing and audit for your area: every model call and agent step recorded, so any recommendation can be reconstructed and cited back to its sources by on-call and auditors alike.
Own how claims automation data is modeled and managed across our relational, document, and graph stores. Ensure the security and isolation of sensitive data.
Author the design documents for complex systems to get feedback and buy-in, review other engineers' designs and code with the same care, and mentor the engineers in your area.
Raise the bar for how the team works with agentic coding tools: sharpen the specifications, instruction files, hooks, and permission policies they run under, and hold generated code to the same review standard before it merges.
Take part in a shared on-call rotation for the systems you own.
Requirements:
6+ years of professional software engineering experience, including an event-driven system you designed, shipped to customers, and ran in production.
Python and TypeScript at the level of setting a team's conventions, plus a background in a systems language such as Rust, Go, Java, or C#.
Strong computer science and distributed-systems fundamentals you use at work: concurrency, consistency, ordering, and how systems fail.
Event-driven systems built on a broker such as Kafka, Azure Event Hubs, or Service Bus that handle duplicate, late, and failed events without losing or double-processing work.
Data modeling and development across relational, document, and graph databases such as PostgreSQL, MongoDB, and Neo4j, including when each type fits and the partition-key, consistency, and tenant-isolation calls you made.
Systems architected and operated on Azure or AWS, with CI/CD and infrastructure as code, and hands-on time with a durable workflow engine such as Temporal or the Durable Task Scheduler.
A clear account of how you constrain an agentic coding tool's context and verify its output, from daily use of Claude Code, Cursor, GitHub Copilot, or similar on production work, plus changes you turned back, and why.
Technical design documents you have authored for systems that span more than one team, used to get feedback and buy-in before building, and that those teams then built to.
Clear writing and discussion for technical and non-technical audiences: drawing out a customer's real problem and explaining the trade-offs back to them.
Even Better if You Have:
React and TypeScript experience, so you can deliver a full-stack feature end to end, especially chat, streaming, and citation-heavy AI experiences.
Formal methods or fault-injection testing, such as Lean, TLA+, or deterministic simulation.
Performance work below the application layer: profiling, memory, and concurrency tuning.
Familiarity with how AI agents reach their tools and enterprise systems, through the Model Context Protocol (MCP), the Agent2Agent (A2A) protocol, command-line tools, and microservices.
Exposure to the insurance, claims, or automotive repair domains.
What Success Looks Like:
In your first six months, services you built run in production against SLOs you set, and you can show they held as load grew.
You are trusted with the hardest correctness and scale problems, and you turn them into a design, a shipped system, and a number you can put in front of a customer.
You are energized by what agentic coding tools make possible. Your team ships more than its headcount suggests, and your specifications and reviews are why the output survives production.
You have a passion for systems that last: failures are designed for in advance, and when one happens anyway, the trace says exactly where.
Standards you set for reliability, reviews, and design documents outlive the project they started on.
Engineers you mentor ship reliable services without your direct involvement.
You enjoy getting a product manager, a data scientist, and a customer's team into one room and coming out with a single agreed scope, and you can argue a position without needing to win it.
You embrace our ambitious, collaborative, and empathetic values, and you like problems where the answer has to be measured rather than argued.
Interview Policy & Privacy Notice:
A video interview is required for this position. Video interviews are transcribed. Transcriptions are retained and may be reviewed by CCC and our recruiters. Candidates are not permitted to use generative AI or automated assistance during the interviews unless explicitly allowed by the interview team for a specific exercise. Our Job Applicant Privacy Notice is available
HERE
.
About CCC's Commitment to Employees:
CCC Intelligent Solutions understands that our employees play an integral role in our vision to shape a world where life just works. Our team is defined by our values of Integrity, Customer-Focus, Innovation, Inclusion & Diversity, Tenacity, and Connection. Through diverse perspectives, purposeful innovation, and the strength of connections, our technologies empower the people and industry relied upon to keep lives moving forward when it matters most.
At CCC, together everyone can thrive as we innovate and collaborate, creating employee experiences that just work. We are committed to providing opportunities for our people to make real-life impacts, advance in their careers, and contribute to CCC’s success.
CCC offers competitive compensation and benefits to support you and your families, including:
401K Match
Paid time off
Annual Incentive Plan Performance Bonus
Comprehensive health insurance
Adoption Assistance
Tuition Reimbursement
Wellness Programs
Stock Purchase Plan options
Employee Resource Groups
For more information about our benefits, please check out our
careers site
.
Here, you belong. You are seen, valued, and respected. We celebrate you for who you are and all you bring. Every voice is heard and is important to our success. You can hear what employees have to say about our culture
here
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
Platform Intelligence turns each new Claude model's abilities into API features that developers can build on. Our goal is to make the full intelligence of each model available through the API. We own the capabilities that shape what Claude can do for developers: tool use, built-in tools such as web search and code execution, thinking controls, structured outputs, and the memory, files, and skills APIs.
We also run the API side of every Claude model launch, including its safety features and controls. That means getting the API ready for each new model, coordinating with research, safeguards, product, and cloud partners, and making sure the model, its features, the SDKs, and the docs all ship together on launch day.
The work sits where research meets product. We work with new models before they are public. When a model gains a new ability, we work out what it should look like as an API, build it, and ship it to developers on our own platform and on cloud platforms. Those decisions shape how developers first use each model. We also own API versioning and the evals that tell us a capability works in production.
What you'll do
You'll lead the design, build, and operation of API capabilities used by developers around the world. You'll work with research to understand what a new model can do and turn that into an interface that is simple, durable, and hard to misuse.
You'll lead the API side of new model launches. You'll plan the work, track readiness across teams, resolve the issues that come up late, and see the launch through on the day. Between launches, you'll make the next one faster and safer.
You'll set technical direction for work that spans several teams, write clear design proposals, review API designs from other teams, and mentor engineers on the team.
Representative projects
Lead API readiness for a Claude model launch, so that every feature works on day one across our API, SDKs, docs, and cloud partners
Take a new model ability from research prototype to public API feature, from interface design to production rollout
Build and operate tools such as web search and code execution under real traffic
Automate the manual parts of a model launch
Build the evals that catch a capability regression before a launch
You might be a good fit if you:
Have led technical projects that spanned several teams, from design through launch and operation
Have designed and operated production distributed systems where correctness, latency, and availability all matter
Have strong product sense and care about API design and developer experience
Make sound technical decisions with incomplete information, as models and priorities change close to a launch
Explain tradeoffs clearly to research, product, and go-to-market partners, including non-engineers
Make the engineers around you better through design review and mentoring
Use AI tools as a regular part of how you design, build, and review software
Care about the societal impacts of your work and Anthropic's mission to build safe, beneficial AI
Strong candidates may also have:
Building public APIs, SDKs, or developer platforms
Working with large language models, including tool use, agents, or evals
Running launches or migrations with fixed deadlines and many dependent teams
Building tools for agents, such as search or code execution
Storage, memory, or context systems at scale
Integrating with cloud platforms such as AWS, Google Cloud, and Azure
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
Location Preference:
Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of 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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: MinIO Bay Area
MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data.
We are seeking a technical, entrepreneurial Sr Regional Sales Manager to build and close transformative enterprise business in the Northern California region. You will own a territory and the full sales cycle, from account prioritization and pipeline creation through technical validation, quantified business value, executive alignment, negotiation, and close.MinIO's technical credibility opens doors, and your job is to turn it into predictable growth.
What You Will Do
Own your territory and the full sales cycle: account prioritization, direct outreach, discovery, technical validation, quantified business value, executive alignment, negotiation, and close.
Build new franchise accounts by landing complex enterprise opportunities and creating credible expansion paths across workloads, business units, and regions. You may also inherit existing accounts with meaningful upsell and cross-sell potential.
Lead technical and vision selling across storage, data infrastructure, lakehouse, AI/ML, analytics, and HPC environments, translating architecture into quantified customer outcomes.
Control POCs and POVs with clear success criteria, and build business cases that give buyers a reason to act now.
Compete against legacy storage vendors, cloud alternatives, direct competitors, and the status quo by shaping decision criteria early.
Build champions and executive relationships, and navigate security, procurement, finance, and multi-stakeholder buying committees.
Orchestrate Solutions Engineering, product, executive, and partner resources through close and expansion.
Keep disciplined account plans, a current CRM, realistic close dates, and forecasts grounded in buyer evidence.
A sustained record of enterprise quota attainment and personally led new-logo wins, with 7+ years of direct enterprise quota-carrying experience preferred.
Experience closing multiple technical enterprise deals and carrying a $1.5M+ quota (or comparable responsibility).
Experience as one of the first one to three sellers building a region, segment, or new-market account focus at an early-stage or category-building company.
Technical credibility in storage, object storage/S3, data infrastructure, data lake/lakehouse, AI/ML, analytics, HPC, or adjacent platforms.
A repeatable, metrics-based approach to direct outreach, territory building, and pipeline creation including effective partner co-selling.
Skill in technical validation, value selling, competitive displacement, executive access, and complex negotiation.
Entrepreneurial ownership combined with disciplined forecasting, account planning, and collaboration.
Your Skills and Experience
Direct object-storage and S3 ecosystem experience.
AI/ML, lakehouse, analytics, or HPC workload experience.
Co-sell experience with cloud, channel, OEM, or alliance partners.
Experience displacing legacy storage or incumbent infrastructure vendors.
What We Offer:
Health Care Plan (Medical, Dental & Vision)
401K with 3% Contribution
Pre-IPO Stock Options
At least 12 Public Holidays
Flexible Time Off
Equal Opportunity Policy (EEO)
MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
Location: Poland
Workplace: remote
Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. With a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports. In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.Who We’re Looking For:We are looking for an experienced AI Tech Lead with a strong .NET engineering background and hands-on expertise in building production-grade AI solutions.In this role, you will lead the technical direction of an AI engineering team responsible for designing, developing, and operating intelligent capabilities within the Creatio platform.You will work on the AI agent platform that enables AI agents to safely perform real work within enterprise workflows — interacting with tools and APIs, accessing business data, maintaining context and memory, enforcing permissions, and collaborating with humans when needed.This is a hands-on technical leadership role that combines software architecture, advanced AI engineering, team mentorship, and active involvement in development.We are looking for someone who can make architectural decisions, solve complex engineering challenges, introduce modern AI development practices, and help the team deliver reliable, secure, and scalable AI-powered solutions.Responsibilities:Lead the development of architectural solutions, including AI-powered features, agentic workflows, RAG-based solutions, and LLM integrations.Drive continuous optimization of development processes; introduce modern tools, AI-assisted development practices, engineering standards, and quality improvements.Facilitate team ceremonies: backlog refinements, sprint planning, and sprint reviews (demos).Take an active part in backlog execution: pair programming, complex development, code reviews, and mentoring.Collaborate closely with stakeholders and product managers to define technical direction and translate business requirements into technical solutions.Guide the design and implementation of AI agent architectures, including tool calling, orchestration, context and memory management, permissions, and guardrails.Ensure high quality through automated testing, AI evaluations, observability, and continuous monitoring of production AI solutions.Monitor and guide incident response (4th-line support), ensuring SLA compliance and issue resolution.Actively contribute to knowledge sharing, team development, and continuous improvement.Requirements: Must have:6+ years of professional software engineering experience, with strong expertise in C# and .NET.3+ years of experience in a Tech Lead or Team Lead role, including architectural decision-making, technical ownership, and mentoring.Hands-on experience building and delivering LLM-powered applications to production.Strong understanding of AI agent architectures, including tool calling, orchestration, context management, and agent frameworks.Knowledge of prompt engineering, AI evaluations, observability, and AI security best practices.Proficiency with AI coding agents (Claude Code, Cursor, Codex, or similar tools) in daily development.Strong knowledge of software architecture, distributed systems, REST APIs, and backend engineering principles.Experience with relational databases, automated testing, CI/CD, and cloud-native development.English level: Upper-Intermediate or higher, with strong communication, leadership, and problem-solving skills.Nice to have:Experience with MCP, multi-agent systems, and advanced agent orchestration.Practical experience with RAG, embeddings, vector/hybrid search, and LLM integrations.Knowledge of LLMOps practices, including evaluation pipelines, monitoring, and cost optimization.Experience with AI platforms such as Anthropic API, Azure OpenAI, AWS Bedrock, or Google Vertex AI.Python experience for AI development, prototyping, or automation.Experience with Kubernetes, enterprise SaaS products, or low-code/no-code platforms.What to expect from us:Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.
Location: Dublin, Ireland
As a Principal Software Engineer on the League of Legends' Purchase Points theme, you will set technical direction for player-facing systems across the game client, engine, UI, content, and service integrations.
You will bring expert C++ and game-development experience to complex, cross-team problems - making sound architectural decisions, clarifying tradeoffs, and helping teams build experiences that are performant, maintainable, reliable, and cohesive. You will partner with Engineering, Product, Design, Art, UX, QA, and Production, and lead through influence rather than formal authority.
Responsibilities:
Set technical direction and lead architecture for complex initiatives spanning multiple teams.
Design and guide implementation of player-facing systems across client, engine, UI, content, tooling, and services.
Identify cross-team technical risks and dependencies, and make tradeoffs across player experience, quality, performance, scope, and schedule clear.
Raise the bar for system quality, reliability, observability, maintainability, and live-service operations, including participation in ongoing operational support, incident response, and root-cause analyses.
Establish shared patterns and standards; review technical designs, RFCs, and implementation plans.
Mentor senior engineers and Tech Leads, improve engineering workflows and developer experience, and represent the Purchase Points theme in broader architectural discussions.
Required Qualifications:
8+ years of professional software engineering experience, or equivalent experience delivering complex software systems.
Expert-level C++ experience in large, complex, and long-lived codebases.
6+ years of professional game-development experience, or equivalent depth working on game clients, game engines, interactive products, or related technologies.
Experience designing and shipping player-facing systems, with strong knowledge of architecture, performance, memory, concurrency, debugging, and maintainability.
Experience setting technical direction across multiple teams or a broad product area without relying on formal authority.
Experience working effectively with non-engineering partners and communicating complex problems and tradeoffs clearly.
A track record of mentoring senior engineers and delivering multi-month or multi-year technical efforts with broad product or organizational impact.
Desired Qualifications:
Experience developing around-game systems such as game UI, screens, client navigation, player journeys, progression, social, identity, shopping, or similar areas.
Experience with proprietary game engines, content tools, pipelines, or authoring workflows.
Experience with UI architecture, real-time performance profiling, or client integration with online services.
Experience shipping and operating a live game or other globally distributed consumer product.
Familiarity with League of Legends, or strong motivation to learn the game and its player experience.
Success in this role:
Teams have clear technical direction and shared patterns for building around-game experiences.
Cross-client, engine, UI, content, and service dependencies are surfaced and managed early.
Senior engineers and Tech Leads make better decisions and lead more effectively through your guidance.
Players experience responsive, reliable, cohesive around-game features.
For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role!
Our Perks:
Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and Riot will support your retirement benefits with a company match, and double down on your donations of time and money to non-profit charitable organizations. Check out our
benefits pages
for more information.
At Riot Games,
we put players first
. That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.
Location: London
Qube Research & Technologies (QRT)
is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.
Your future role within QRT:
You will join the Options Execution team as a Software Engineer, working at the heart of QRT's options trading business. The team designs, builds and operates the systems that take trading decisions from research through to the market, spanning low-latency execution engines, research tooling and analytics infrastructure. Embedded directly within the trading desk, you will partner closely with Quantitative Researchers and Traders to deliver robust, high-performance software in a fast-paced, collaborative environment, helping to drive the continued growth of QRT's global options footprint.
You will be working within a trading desk alongside researchers and traders, meaning that your contribution will have a direct and immediate impact on the desk's success.
A role with the potential to touch many aspects of algorithmic trading, including low-latency trading engines, a research platform, and analytics infrastructure.
Your present skill set:
Strong knowledge of modern C++ and Python, and solid computer science fundamentals.
A collaborative mindset: you have the ability to listen to technical arguments made by other competent people, and change your view when the evidence supports it.
Clear and precise communication on technical topics in a fast-paced environment.
A good understanding of what happens beneath the abstractions, including CPU, memory, operating systems, and networking.
A strong sense of ownership, with the ability to take projects from initial idea through to delivery.
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.
• Own the visual quality of game locations from blockout to final polish, ensuring they support gameplay, atmosphere and narrative. • Set up Level Art workflows, documentation and production standards from the start of the project.
Location: Москва; Санкт-Петербург
Workplace: Офис, Гибридный
В Yandex Crowd мы создаём генеративного агента поддержки для продуктов Яндекса и ищем ML-тимлида, который возглавит эту работу. Откликайтесь, если руководили ML-командой от пяти человек и помогали сотрудникам развиваться и умеете строить RAG-пайплайны и агентов.
В Yandex Crowd мы создаём генеративного агента поддержки для продуктов Яндекса и ищем ML-тимлида, который возглавит эту работу.
Вы будете отвечать за техническое направление — от выбора архитектуры и исследований до запуска в продакшен. Предстоит выстроить систему улучшения агента на основе реальных диалогов и опыта операторов, сохраняя баланс качества, надёжности, скорости ответа и стоимости. Агент поддержки должен разбираться в обращении не хуже оператора, учитывать историю диалога, находить знания и использовать инструменты сервисов, чтобы помогать пользователю решить проблему.
Yandex Crowd — крупный инфраструктурный сервис Яндекса. Мы используем краудсорсинг, чтобы расширять бизнес-процессы: разметку данных, модерацию контента, полевые исследования, тестирование. Также разрабатываем для наших продуктов внутренние функции: клиентский сервис, телемаркетинг, локализацию и документирование.
Обязанности
Развитие архитектуры агента
Вы будете определять, как агент управляет контекстом, ищет информацию, вызывает инструменты и решает многошаговые задачи. Нужно будет внедрять лучшие подходы по работе с поиском по базе знаний, определению проблемы пользователя, long-term и short-term memory, обеспечивать высокое качество агента при минимальной скорости и стоимости.
Построение оценки качества
Вам предстоит собирать бенчмарки, настраивать среду для симуляции и регрессионные проверки, оценивать результат работы агента по обращению, корректность действий и своевременность передачи диалога человеку. Также нужно будет сочетать программные проверки, LLM-судей и экспертную оценку, настраивать критерии проверок, мониторить качество в пилотах и на проде.
Автоматизация улучшения агента
Вы будете превращать отобранные диалоги и исправления операторов в данные для обучения, новые критерии проверок и обновления базы знаний. Кроме того, предстоит настроить feedback loop для регулярного автоматического улучшения харнесса агента.
Развитие автоматизированных исследований
Нужно будет создавать исследовательских агентов, которые анализируют ошибки, предлагают гипотезы и запускают воспроизводимые эксперименты с промптами, поиском, контекстом и моделями, а также доводить лучшие решения до продакшена и контролировать качество после запуска.
Руководство ML-командой
Вам предстоит планировать работу, нанимать и развивать сотрудников, помогать решать сложные технические задачи и поддерживать обмен знаниями. Вместе с продуктовой командой вы будете определять приоритеты и участвовать в формировании AI-стратегии Crowd.
Больше об ML в Яндексе — в канале
Yandex for ML
Требования
* Руководили ML-командой от пяти человек и помогали сотрудникам развиваться
* Запускали ML-модели в продакшен и поддерживали их стабильную работу
* Строили RAG-пайплайны и агентов, глубоко разбираетесь в современном NLP и DL
* Уверенно владеете Python, разбираетесь в MLOps и умеете выстраивать CI/CD для ML
* Проектируете решения целиком, умеете декомпозировать задачи и отвечать за сроки и качество
* Готовы погружаться в продуктовые задачи, делиться знаниями и развивать инженерную культуру
Будет плюсом
* Внедряли Spec-Driven Development в команде, имеете опыт AI-first-разработки
* Обладаете опытом LLMOps, настройки внутреннего инференса для LLM/VLM
seniorYerevan, Armenia; Readiness to work remotely with teams distributed across the world and timezones; Location: Remote — We are hiring candidates based in Germany, Armenia, Georgia, Portugal, Poland, the Netherlands, Serbia, Armenia, Georgia, Greece, and Spain
seniorBerlin, Germany; Frankfurt, Germany; Munich, Germany; Readiness to work remotely with teams distributed across the world and timezones
seniorBarcelona, Spain; Madrid, Spain; Readiness to work remotely with teams distributed across the world and timezones; Location: Remote — We are hiring candidates based in Germany, Armenia, Georgia, Portugal, Poland, the Netherlands, Serbia, Armenia, Georgia, Greece, and Spain
London
География найма не уточнена
ОфисseniorKyiv
seniorNew York, Chicago, or Remote
San Francisco, CA | New York City, NY; Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team
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