Location: London
We are looking for an AI Inference Engineer to join our growing team. We build and run the inference engine behind every Perplexity query and deploy dozens of model architectures at scale with tight latency and cost budgets. Our stack is Rust, Python, CUDA, and CuTe DSL.
RESPONSIBILITIES:
- New models support. Support transformer-based retrieval, text-generation, and multimodal models in our inference infrastructure, from weight loading, request scheduling and KV-cache management to support in API Gateway.
- GPU kernels migration to CuTe DSL. Port our in-house CUDA kernels to NVIDIA's CuTe DSL so they run on GB200 today and are portable to Vera Rubin racks tomorrow.
- Rust-native serving runtime. Develop our internal Rust-based inference server to solve all Python pains and keep up with rapidly growing traffic.
- Performance optimisation. Profile and fix bottlenecks from network ingress through continuous batching and GPU kernels interleaving.
- Reliability and observability. Build dashboards, alerts, and automated remediation so we catch regressions before users do. Respond to and learn from production incidents.
WHO WE'RE LOOKING FOR:
- Deep experience with GPU programming and performance work (CUDA, Triton, CUTLASS, or similar). Any other deep systems programming experience is a plus.
- You understand modern LLM architectures and are able to bring them up reliably in a production environment.
- You've built and operated production distributed systems under real load - ideally performance-critical ones.
- Comfortable working across languages and layers: Rust for the serving runtime, Python for model code, CUDA/CuteDSL for kernels.
- You own problems end-to-end. You can read a research paper on Monday, write a kernel on Wednesday, and debug a production incident on Friday.
- Self-directed. You do well in fast-moving environments where the path forward isn't laid out for you.
NICE-TO-HAVE:
- ML compilers and framework internals: PyTorch internals, torch.compile, custom operators.
- Distributed GPU communication: NCCL, NVLink, InfiniBand, RDMA libraries, model/tensor parallelism.
- Low-precision inference: INT8/FP8/FP4 quantization, mixed-precision serving.
- Profiling and debugging tools: Nsight Compute/Systems, CUDA-GDB, PTX/SASS analysis.
- Container orchestration: Kubernetes, GPU scheduling, autoscaling inference workloads.
QUALIFICATIONS:
- 3+ years of professional software engineering experience with meaningful work on ML inference or high-performance systems.
- Familiarity with at least one deep learning framework (PyTorch, JAX, TensorFlow).
- Understanding of GPU architectures (memory hierarchy, warp scheduling, tensor cores).
- Understanding of common LLM architectures and inference optimization techniques (e.g. quantization, speculative decoding, prefill-decode disaggregation).
Final offer amounts are determined by multiple factors including experience and expertise.
Equity: In addition to the base salary, equity may be part of the total compensation package.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
Anthropic's business metrics change quickly. New models, products and pricing land every few weeks, and each one moves the numbers in ways leadership needs to understand and act on quickly.
The Finance Analytics & Business Intelligence team is hiring a senior individual contributor to own how finance leadership reviews key business metrics. You'll run the weekly company metrics update and forum, explain what is driving revenue and usage across products, customers and models, and turn open-ended business questions into clear, data-driven answers. You'll also build what makes those answers repeatable and scalable: governed metric definitions, executive dashboards, and Claude-powered workflows for recurring analysis. The work is technical, fast-moving and highly visible, and it spans Finance, Product, Go-to-Market, Data Science and Data Engineering.
In this
role,
you will:
Own the weekly company metrics update and forum:
shape the story the numbers tell, evolve the structure and content as fast as the business changes
Define the metrics that matter:
help establish the headline KPIs leadership uses to track the business, and the driver views beneath them.
Surface macro trends:
explain what is driving growth across products, customers, and channels, and flag leading indicators early
Lead deep dives on executive questions:
take a broad question from leadership, put a measurement approach around it, and work with partner teams to deliver a clear, defensible answer
Track performance against plan:
explain where actuals differ from forecast and why it matters
Partner across teams:
work with finance leadership, product and GTM finance and strategy, data science, and data engineering to agree on how we measure the business, so everyone uses the same numbers.
Raise the bar:
land narratives in executive forums and up-level the team’s finance analytics practice by example
You might
be
a good fit if you:
Have run an executive metrics forum:
you've owned a recurring business review for senior leadership, including its structure, content and discussion.
Land narratives with executives:
your analyses have changed business decisions, and you can simplify for senior leaders without losing rigor
Put shape around ambiguity:
you’ve personally defined the measurement approach for questions nobody knew how to answer, without waiting for a fully specified ask
Stay hands-on at senior scope:
you still write the SQL and Python yourself, and you’d rather ship a defensible v1 with honest error bars than wait for perfect data
Are inherently curious:
you go one level deeper than asked and are energized by how fast models, products, and the market are moving
Thrive amid shifting priorities:
you juggle multiple fast-moving work streams and stay effective when the plan changes weekly
Work fluently with modern tooling:
you’re strong at data visualization, use Claude and AI tools as force multipliers in analysis and BI, and can self-serve your own workflows across SQL, Python, dbt, and a cloud warehouse
Strong
candidates
may also have:
Significant experience in finance analytics, business analytics or data science, including direct partnership with senior leadership
Revenue or growth analytics experience at a usage-based business (cloud, API or marketplace)
Ownership of a company or executive business review
Experience designing evals or benchmarks for AI models or products
Fluency in the LLM model and product landscape
Experience with a semantic or metrics layer
Dimensional modeling and warehouse design experience (grain, SCDs, point-in-time correctness)
Cloud platform experience (AWS, GCP) with orchestration, CI/CD for data, and testing/observability
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:
$270,000
—
$345,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: United States & Canada
Workplace: Remote
About WorkOS 🚀
WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations.
We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid.
As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products.
ABOUT THE ROLE
We're looking for a GTM Engineer to join our team. This is a hands-on engineering role embedded in our GTM org. You'll own the systems that power how we identify, enrich, score, and engage prospects at scale: a custom built enrichment pipelines leveraging Cargo, the campaign sync tooling that feeds our events and outbound plays, and the code that ties it all together.
You'll work at the intersection of GTM strategy and software engineering by writing production TypeScript/Python, shipping PRs, designing schemas, and building internal tools that the whole GTM team depends on daily. Think of it as being the engineer who makes the rest of the GTM team unreasonably effective.
You don't need to have done this exact job before. You need to care about the craft. The best GTM Engineers at WorkOS are the ones who spot a broken workflow in Slack at 11pm, open a PR the next morning, and ship the fix before the standup. They're the ones who, when the sales team complains about bad data, don't just route it to RevOps, they dig into the Snowflake schema and find the upstream issue. If that sounds like how you work, we want to talk.
RESPONSIBILITIES
- Enrichment infrastructure: You'll maintain and improve our core enrichment pipeline: the workflows that take a new signup or a conference attendee list and return a fully enriched, scored, and Salesforce-upserted record. Today that involves Cargo, Clay, Snowflake, and a growing set of data providers (Apollo, Linkup, Exa). You'll own the reliability, fill rates, and schema consistency of these systems.
- Account scoring: You'll work on the fit scoring pipeline: the logic that evaluates every company flowing through our stack against our ICP and writes results to Snowflake and SFDC. This includes batching optimization, retry logic, logging and observability, and continuously improving the underlying signals.
- Campaign and event tooling: You'll build and maintain the systems that sync event attendee lists (Luma, conference CSVs) through enrichment and into Salesforce campaigns. When a BDR asks "who came to our event last night?", your tooling answers that question automatically and routes the right records to the right owners. You’ll also propose and prioritize growth experiments, validate the approach, own implementation, measure results, and iterate.
- Custom Tooling integration: You'll build and maintain enrichment tooling accessible via Wallaby, WorkOS's internal AI agent that the GTM team uses to look up prospects, run ad-hoc enrichments, and surface account intel on demand. You’ll design the underlying tools so they’re clean, effective, and composable, using AI and automation across research, enrichment, routing, and engagement workflows.
- GTM data infra: You'll work closely with the data engineering team to keep our Snowflake schema in sync with the tools that consume it, track downstream pipeline impacts when schemas change, and ensure the data flowing into SFDC is accurate and up-to-date. Own and maintain lead and conversion tracking across the funnel, including lifecycle stages and campaign attribution. Keep the underlying data and tracking reliable so we can measure conversion and identify where prospects drop off.
- Code: You'll ship real code. PRs go through review. You'll debug production incidents (Salesforce API rate limits, Cargo timeouts, enrichment failures). You'll instrument logging, add observability, and think carefully about batching, concurrency, and idempotency.
QUALIFICATIONS
- Engineering foundation: You're a capable software engineer. You write clean TypeScript or Python, understand async patterns, know how to design a database schema, and can debug a production incident from logs alone. You don't need to have worked at a software company, but you need to be able to write and ship code.
- GTM domain knowledge: You've worked with the tools: Salesforce, HubSpot, Clay, Cargo, Apollo, or equivalents. You understand how leads flow through a CRM, what enrichment providers actually return, and why data quality degrades over time. Ideally you've had a BDR or AE background that gives you intuition for what the sales team actually needs.
- Systems thinking: You think in pipelines, not one-off scripts. When you build something, you think about what happens at 10x volume, when an API goes down, or when the same company gets submitted five times simultaneously.
- 3+ years of experience in GTM Engineering, Revenue Operations, or a closely adjacent technical role at a high-growth B2B SaaS company.
Benefits and Perks (US Only) 💖
At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.
- 401k matching
- Competitive Equity
- Healthcare, dental and vision coverage
- FSA, ST/LT Disability, Voluntary Life
- Carrot fertility benefits
- 20 days paid vacation + 10 holidays + unlimited sick leave
- 12 weeks fully paid parental leave
- Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active
- Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being
- Commuter benefits for hybrid employees in SF/NYC
- Unlimited token usage!
Please inquire directly with our recruiting team for benefits available to those working outside the US.
Equal Opportunity Employer
WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: Santa Clara, CA
Workplace: onsite
About Welo Data
Welo Data, a Welo Global brand, is the multilingual data and evaluation partner for foundation labs and enterprises deploying GenAI systems globally. They deliver the human judgment, data infrastructure, and evaluation systems that ensure AI models perform reliably across languages, cultures, and real-world contexts, at every stage from training through deployment. Its global network of 500,000+ vetted experts spans 300+ languages and locales, enabling high-quality multilingual data creation and structured model evaluation across the full spectrum of modern AI applications — from large language models and voice and speech systems to agentic workflows and robotics and embodied AI. This breadth of linguistic, cultural, and domain expertise enables Welo Data to address critical AI development challenges, including safety, bias, inclusivity, and cross-lingual reliability. A unified global operating model, led by specialized program and quality experts and grounded in assessment-driven talent selection, localized rubrics, and continuous calibration, ensures consistent performance across languages, domains, and modalities. Underpinning all of this is NIMO™ (Network Identity Management and Operations), Welo Data's proprietary identity and fraud-prevention framework. Built to maintain data integrity and workforce trust across a global contributor base, NIMO combines advanced verification, continuous monitoring, and structured QA to ensure every dataset is accurate, traceable, and culturally grounded. welodata.ai
Role Overview:
We're hiring a Robotics Safety & Compliance Lead to own safety, risk, and compliance across our robotics operations — and to lead the function as it scales. This is a builder-leader role: you'll set the standard, establish the frameworks, and grow the program (and eventually the team) that keeps our labs and data collection environments safe, compliant, and audit-ready.
You'll be the senior voice on safety in the room with operations, engineering, and EHS — setting direction rather than waiting for it, and building practical frameworks that support both speed and control.
What You Will Do
Own safety and compliance end to end across robotics labs and data collection environments.
Set the safety strategy and roadmap as programs scale across sites, and define what "good" looks like for the function.
Develop and implement safety standards, SOPs, and risk mitigation frameworks.
Conduct risk assessments across different lab setups (humanoid, teleoperation, motion capture, etc.).
Serve as the escalation point and decision-maker on safety risk — including the authority to pause work when conditions require it.
Lead incident response processes, reporting, and root cause analysis.
Conduct regular audits and maintain audit readiness across sites.
Build and lead safety training, onboarding, and a safety champion network across lab teams.
Influence senior stakeholders and report on safety posture, risk trends, and program maturity to leadership.
Hire, mentor, and grow safety and compliance support as the program expands.
Partner with engineering on safe system design — cell layout, e-stops, guarding, interlocks, and operating envelopes.
Balance operational speed with safety and compliance requirements.
What Good Looks Like
Clear, practical safety frameworks that teams actually follow.
A safety culture the is owned by the organization, not one that depends on one person policing it.
Strong risk awareness without slowing down execution.
High audit readiness and clean compliance posture.
Proactive identification and mitigation of safety risks.
Credibility with engineering — seen as a technical partner, not a gate.
Strong partnership with operations and engineering teams.
Basic Qualifications
5+ years of experience in safety, compliance, or EHS roles (technical or lab environments preferred).
Demonstrated leadership experience — owning a program, leading cross-functional initiatives, or managing/mentoring others.
Experience developing and implementing safety programs or frameworks from the ground up.
Strong understanding of risk assessment and incident management.
Ability to translate standards into practical, operational processes.
Clear communication and proven ability to influence senior and technical stakeholders.
Familiarity with safety standards (e.g., ISO frameworks such as ISO 10218, ISO/TS 15066, ANSI/RIA R15.06).
Preferred Qualifications
Experience in robotics, manufacturing, industrial, or lab-based environments.
People management experience, or experience building a function and its first hires.
Software or technical background as a plus — comfort with ROS, robot control software, teleoperation and motion capture systems, or scripting (e.g. Python) to analyze incident and sensor data.
Experience building or automating compliance tooling — audit tracking, incident dashboards, or safety checklists integrated into lab workflows.
Experience supporting high-growth or rapidly scaling operations.
Background working with cross-functional technical teams.
Work Environment and Physical Requirements
Onsite lab environment (robotics lab, warehouse, or similar setup).
Must be able to stand for extended periods during audits and inspections.
Must be able to occasionally lift and/or move up to 50 lbs.
Fast-paced environment with evolving operational needs.
Why This Role Matters
As robotics programs scale, safety and compliance become critical to sustainable operations. This role leads how we operate responsibly, reduce risk, and build systems that scale without compromising safety.
Benefits Included in the Offer:
- Friendly Working Environment
- IT Equipment
- Social Activities
- Global Mobility Policy
- Employee Referral Program
- Employee Assistant Program
- Medical, Dental, and Vision Insurance
- HSA & FSA
- 401(k) retirement
- Short & Long Term Disability Insurance
- Accident, Critical Illness, Hospital Indemnity Insurance
- Telemedicine Benefit
- Annual Leave
- Paid Public Holidays
- Maternity/Paternity Leave
Hourly Pay: $65-$75/hr.
Job Reference: #LI-JC1
Location: Barcelona, Spain
Workplace: remote
About seQura
seQura provides innovative, flexible and easy-to-use payment technologies that help merchants acquire, convert and retain more customers.
We make a difference in sales performance by tailoring our solutions to different sectors, to address their unique pain points and deliver superior results in Retail, Education, Eyewear, Repairs and Travel.
We also empower smart shopping to consumers who seek more value, convenience, and flexibility in their shopping, with new payment experiences that allow them to save, access interest-free credit, or pay in small, comfortable installments of up to 24 months.
Born in Barcelona, seQura is a privately-owned fintech, currently expanding throughout southern Europe and Latin America, growing above 50% CAGR.
Over 6000 businesses, almost 3 million shoppers, and almost 400 employees continue to rate us as one of the most loved and trusted fintechs out there, with an NPS of 87%, a Trustpilot rating of 4.7/5, and a Glassdoor rating of 4.1/5.
About the role
🤓
We have an exciting opening for a
Senior Software Engineer
who is able to see the big picture and balance the search for software quality with a pragmatic approach to help us scale the company. If you're a proactive, creative, and hands-on person who wants to help improve SeQura's product, having ownership and exposure to work hand in hand with seasoned professionals in a collaborative environment, this is the perfect place for you.
We have different projects to carry out our amazing product’s development, you’ll have the possibility to join us to help us grow by contributing to technical and architectural decisions and even creating new teams.
How we build at seQura
🤖
AI-assisted development is how our engineers work every day. We use AI agents to think through problems, write, review and iterate on code, and we're looking for engineers who already work this way, or are actively making the shift.
What matters to us isn't whether you know the syntax and idioms of your preferred programming language or tech stack by heart. It's whether you understand the problem you're solving, can explain the business logic behind it, and own every line you ship, no matter who (or what) wrote it first.
AI helps you move faster, challenge assumptions, explore different approaches and improve your solutions. But knowing which questions to ask, making sound technical and product decisions, and taking responsibility for the outcome is always up to you.
Our technical interviews reflect this approach: you'll use your own AI tools, and we'll ask you to walk us through your solution, both the business reasoning and the code.
If you're only interested in technical challenges without engaging in the product decisions behind them, or you'd rather not work with AI, this probably isn't the right role for you.
What challenges you'll be solving 🚀
Be passionate about solving meaningful product problems and delivering simple, clean, and maintainable solutions, leveraging AI to improve both your thinking and your code.
Be proactive, accountable, analytical, and pragmatic.
Contribute with close attention to detail/product ownership.
Work as a strong team player and communicator.
Arrive with motivation to learn and grow.
Be passionate about driving change and efficiency with partners from different disciplines.
What we offer 😎
We have a strong and sustainable foundation, where we provide a secure and reliable workplace. You have the freedom and trust to make the best contribution possible.
One of our most valued strengths by our employees is our fellowship and supportive culture, which fosters a sense of belonging by working closely with our values. With us, you will have challenging projects to work on and push your skills and knowledge.
In addition, we are very proud of the unique office we have, which offers a comfortable and inspiring environment to work in with everything you need.
23 vacation days + 2 days of free disposal per year.
Flexible compensation plan for transportation, restaurants, and kindergarten with Cobee.
Health insurance discounts with Sanitas and DKV.
Flexible working hours.
A personal budget for professional development.
Office workshops and meet-ups to encourage community participation and career growth.
Hybrid or remote work (up to 2 hours difference from GMT+2).
Moreover, we have a
Wellness Program
that embraces a holistic approach by covering 6 areas (occupational, physical, financial, emotional, social, and environmental consciousness). Each area will include a variety of activities, and you'll be able to choose from 34 different activities that best meet your needs to configure a plan that best works for you.
What you’ll need 🤝
7+ years of experience working as a Software Engineer.
Experience in the full-stack development, deployment, and maintenance of web-based technology applications with Ruby on Rails or the ability and interest in working with it (JavaScript, Elixir, Kotlin, Java, and Python experience is also very valued).
Solid knowledge of OOP, clean coding, TDD, and agile.
English proficiency.
Which are the next steps?
🙌
Interview with People Team
Technical take-home assessment
(async)
Live Peer review of the assessment
Meet the team
We kindly ask that you submit your
CV in English,
as it is the official language of our community.
We promote equal opportunity to all, regardless of age, color, gender identity, medical condition, physical or mental disability, race, religion, sexual orientation, or any other characteristic. We have an inclusive environment, and respect is above all.
Do you want to be part of the change? Join us!👇
Location: Warsaw
Workplace: onsite
With multiple awards to our name, Larian Studios has proven that we’re dedicated to delivering high-quality role-playing games As we move on to new projects, the studio that brought you Baldur’s Gate 3 & Divinity: Original Sin 2 is looking for a Senior Devops Full Stack Developer to join the team and help us in crafting the high calibre games our fans have come to expect.
Responsibilities
Work closely with other teams to design tools and improve the development process
Maintain and improve our internal libraries used across all our web applications
Design and implement pipelines to automate development processes
Extend, maintain and improve our existing tools
Provide support for other team members during critical stages of development
Requirements
Minimum 4 years programming experience
Good knowledge of full stack web programming (TypeScript, React, Node.js, MySQL)
Good knowledge of relational databases (RDBMs)
Good knowledge of scripting in ruby or python
Readiness to experiment with new technologies and software to meet development requirements and limitations
Good communication skills in spoken and written English
You are a team player and willing to take responsibility
This is a full-time, on-site role, requiring your presence in the office to support collaboration and creativity
Nice to Haves
Knowledge of Perforce
Experience in Game or Application development in C++
Experience with developing and hosting APIs in the Cloud
Knowledge of Kubernetes and Docker
Experience in a similar position in another game company
What we Offer
An international team of over 600 employees spread across 7 studios around the world, each of which have their own unique qualities, and maintain a small-studio feel
An open, collaborative environment where ideas are welcome and encouraged
A managerial team consisting of highly experienced game developers at the top of their fields
Sharing hobbies and passions with like-minded colleagues
Inclusive environment with many activities organized by the studios or the employees
Commitment to making the best game possible for the fans, including listening to community feedback
Location: Bengaluru, Karnataka, India, APAC
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
As a Staff SDET, you’ll lead from the front– owning shared automation infrastructure, influencing release quality strategy, and driving initiatives that span teams and systems. This role sits at the intersection of hands-on engineering, architectural leadership, and org-wide quality influence.
You will architect and scale automation utilities/libraries, design and build internal tools that improve developer productivity and test efficiency, and establish testing strategies that ensure high-confidence releases across business-critical systems. You will work cross-functionally across teams and domains to influence quality culture, mentor engineers, and drive initiatives that shape how Fivetran builds and ships software. In addition, this role emphasizes leveraging AI driven solutions to accelerate testing, enhance developer productivity, and improve operational insights, making Fivetran’s quality practices smarter, faster, and more scalable.
This role requires deep technical expertise, architectural foresight, and the ability to scale impact beyond code through systems thinking, tool building, and strategic alignment.
Technologies You’ll Use
Languages & Frameworks: Java (17+), JUnit, REST Assured, Shell scripting; Python (optional)
Infrastructure & Tooling: Docker, Kubernetes, Terraform, Bazel, Buildkite
Cloud & Platform: AWS, GCP, Azure
Observability & Monitoring: Grafana, Prometheus, Datadog
CI/CD & Automation: Jenkins, CircleCI, GitHub Actions
Data & Testing:ELT pipelines, test automation utilities, whitebox testing strategies
Databases: SQL and NoSQL databases (e.g., Postgres, MongoDB)
What You’ll Do
Lead the architecture of internal tools, libraries, and utilities for test automation and benchmarking, enabling scalable quality solutions across teams and domains.
Define and evolve quality strategies covering testability, release readiness, performance, and reliability.
Drive cross-org quality initiatives to improve execution speed, observability, and feedback loops.
Identify systemic risks in business-critical systems and implement robust validation strategies.
Mentor engineers, influence design for testability, and champion best practices across the org.
Collaborate with engineering and product leaders to align testing priorities with platform and business objectives.
Skills We’re Looking For
8+ years of experience in the software industry with a focus on building test automation frameworks, tools, and infrastructure at scale.
Experience defining and driving code quality for tests (review processes, efficiency, maintainability).
Writes critical or common code shared across multiple teams.
Identifies and designs fixes for critical issues concerning core parts of the product.
Contributes to and enforces department-wide coding standards.
Identifies major improvements in product to improve quality and resilience.
Identifies and fixes performance, scalability, and reliability gaps in tests and test frameworks.
Defines testing efficiency and reporting strategies.
Defines guidelines for product releases, including quality gates and readiness criteria.
Expert in design principles and applying them to test architecture.
Strong knowledge of OOP (preferably Java)
Hands-on experience with cloud platforms (AWS, GCP, Azure).
Experience with CI/CD systems (Buildkite, Jenkins, GitHub Actions, CircleCI), modern build tools (Bazel, Maven, Gradle), and observability platforms (New Relic, Datadog, Prometheus, Grafana).
Strong background in infrastructure and container orchestration (Docker, Kubernetes, Temporal).
Strong understanding of data engineering concepts, and large-scale distributed systems.
Demonstrated ability to drive initiatives across multiple teams and influence business-critical systems.
Strong written and verbal communication skills to support complex technical discussions.
Knowledge of ELT pipelines, including testing data integrity, schema evolution, and pipeline reliability.
Demonstrated ability to incorporate AI techniques to improve test efficiency, defect detection, and productivity.
Experience evaluating and adopting emerging quality engineering practices (e.g., shift-left testing, chaos engineering, autonomous testing).
#LI-HYBRID
#LI-PE1
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.
Location: New York, NY (HQ)
Workplace: OnSite
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
Explore our Engineering Blog https://builders.ramp.com & Emerging Talent https://builders.ramp.com/emerging-talent Blog to learn more about how we build at Ramp and what it’s like to start your career here.
ABOUT THE ROLE
Ramp is, at its core, an engineering company. We’re looking for backend engineering interns (12 or 16-week co-ops) excited to solve challenging technical problems and ship products used by real customers.
You’ll work alongside experienced engineers and own meaningful projects from inception to production. We value strong technical fundamentals, high ownership, and people who learn quickly, whether or not they’re familiar with our stack.
WHAT YOU’LL DO
- Build performant, reliable, and scalable systems powering Ramp’s products
- Own meaningful projects from design through launch
- Solve problems across areas like payments, risk and fraud, financial infrastructure, data, and AI
- Work closely with product and business teams to understand customer needs and improve our products
- Contribute to engineering tools and systems that help Ramp scale
WHAT YOU’LL NEED
- Currently pursuing a B.S. or higher in Computer Science or a related technical field, graduating December 2027 or later
- Strong computer science and programming fundamentals
- Track record of building and shipping high-quality products, features, or projects
- Ability to turn ambiguous product and business problems into engineering solutions
- Desire to learn quickly, take ownership, and work in a fast-paced environment
NICE TO HAVES
- Experience with or interest in Python and backend development
- Familiarity with or desire to learn our stack, including Flask, PostgreSQL, Temporal, Elixir, and AWS
- Interest in fintech, AI, or building products at scale
COMPENSATION
The monthly rate for this internship is $12,500 + a housing stipend.
RAMP BENEFITS
- Apple MacBook
- Catered lunches and dinners in our NYC office Monday through Friday
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role:
We are looking for experienced software engineers to join our Platform organization. We build the foundational primitives that accelerate product development across Anthropic, and own infrastructure and systems that teams depend on to ship reliably and at scale - either internally or by hundreds of thousands of external global users and companies at all stages.
You'll independently scope complex, multi-month projects, drive cross-org alignment through ambiguous problem spaces, and make architectural decisions that shape how Anthropic builds and scales its products. You'll partner directly with research to productize cutting-edge capabilities, and will have lasting impact on the platform that hundreds of thousands of companies and internal/external engineers depend on every day.
We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential.
What you'll do:
Service Infra:
we build and maintain the core infrastructure that powers Anthropic's engineering organization, from service mesh and observability systems to deployment pipelines and shared libraries. Our work enables product teams to build and operate reliable services at scale, making us a critical force multiplier across the entire company.
Platform Portability:
We build and maintain the infrastructure that enables Anthropic to operate across multiple cloud providers. We focus on cloud-agnostic tooling, cross-cloud networking, and multi-region deployments.
Platform Intelligence:
You'll build and scale the foundation of the Claude API—the systems that deliver Claude's intelligence to every developer, from startups to enterprise. You'll own the performance, reliability, and efficiency of our core serving path, ensuring users get the most speed and value from our models. You'll partner closely with inference and safeguards to optimize the full stack.
Billing Platform:
Anthropic exists to ensure the world safely navigates the transition through transformative AI. That work is funded by commercial revenue — and every dollar of it runs through Billing Platform. We build and operate the infrastructure that turns product usage into revenue across everything Anthropic ships:
Claude.ai
, the Developer Platform, Claude Code, and whatever comes next. The faster we can price it and account for it correctly, the faster Anthropic can fund the mission. Depending on where you land, you might be building the integration contracts product teams plug into so they can launch a paid SKU without becoming billing experts, automating the quote-to-cash lifecycle so enterprise deals don’t bottleneck on manual ops, or building the reconciliation and data foundations that keep every revenue number trustworthy at audit time. This is production-critical infrastructure where correctness is non-negotiable — a rounding error here is a revenue discrepancy somewhere else — and you’ll work closely with Finance, Product, Sales, and Accounting to build systems that scale with the business.
Platform Serving:
You'll focus on transforming Claude into a true knowledge worker by ensuring the model has access to and understanding of the right knowledge at the right time. You'll work on making it possible for developers to securely give Claude access to their data while automatically processing and retrieving relevant information. You'll partner directly with research to bring state-of-the-art retrieval advancements to developers.
Agentic Systems:
You'll build the infrastructure and APIs that let developers create powerful agentic applications on the Claude API — including Claude Managed Agents, our managed platform for deploying and running agents in production. Your work spans the primitives agent developers depend on: tool use, multi-step reasoning, durable sessions and environments, and long-running task execution that lets Claude take actions and accomplish complex goals on a user's behalf. You'll make this platform ready for the largest enterprises to adopt, and partner with research to bring cutting-edge agent capabilities into production.
Auth & Identity:
We build and maintain the critical infrastructure and control interfaces that power identity and authentication across Anthropic's product suite. We work closely with product teams, security, support, and trust & safety as customers. We create scalable solutions for user authentication, authorization, role-based access control, and single sign-on that form the backbone of our company's identity management operations. We maintain a user-centric approach, building reliable systems that our users and company can depend on as we tackle complex challenges at the intersection of security, scalability, and user experience.
Platform Safety:
We're building the identity and verification product layer that enables safe model launches as Claude's capabilities expand. This critical effort partners with Safeguards, Auth & Identity, Policy, and Product teams across API,
Claude.ai
, and third-party platforms as customers, creating the systems for KYC/KYB, trust grant issuance and inheritance, and end-user verification that flow across every Anthropic surface. We sit at the intersection of trust, compliance, and product velocity, delivering the verification primitives that let Anthropic ship advanced model capabilities to the right users at massive scale.
You might be a good fit if you:
Have a minimum of 8 years of practical experience as a backend or platform engineer building scalable distributed systems, ideally operating at tech lead level or equivalent
distributed systems, cloud-native products, developer tools, or external developer facing products
Have strong fundamentals in service-oriented architectures, networking, and systems design, ideally having owned both the technical vision and execution of a foundational platform system end to end
Are proficient in Python, Go, Rust, or similar systems languages
Have experience with cloud infrastructure (GCP, AWS, or Azure), container orchestration (Kubernetes), and/or multi-cloud networking
Take full ownership of your work—from design through deployment and operations
Can navigate ambiguity and make sound technical decisions independently, and have ideally operated in 0 to 1 and more mature team or company settings
Take a product-focused approach to platform work and care about building solutions that are robust, scalable, and easy to use
Care about building systems that other engineers love to use
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.
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: London
Workplace: Hybrid
At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires.
Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship.
As a Solutions Engineer at Linear, you will be the technical guide across the customer lifecycle, from evaluation and close through onboarding and expansion. Partnering most closely with Sales, you will drive revenue by leading technical discovery, demos, proof-of-concepts, and solution design for prospects and existing customers. You will stay engaged through onboarding to ensure technical continuity, and provide clear handoffs to Customer Success that capture context, decisions, risks, and next steps. You will also codify repeatable patterns through demo environments, migration and integration playbooks, and enablement for new sales hires.
Location & work mode
This role is anchored to our London hub. We’re looking for someone who can work from our London office in Shoreditch 3 days per week (Mondays, Tuesdays, Thursdays), with flexibility around scheduling, as this role will be closely connected to in-person collaboration with our growing sales presence in the region.
What You’ll Do
- Act as the customer’s technical advisor across the lifecycle, partnering with Sales and Customer Success to ensure continuity from evaluation through onboarding and expansion, with a primary focus on pre-sales revenue impact.
- Lead technical discovery and architecture for strategic prospects and existing customers; translate customer workflows into Linear configuration, data model, permissions, and integration patterns.
- Run pre-sales technical evaluations end-to-end: deliver tailored deep-dive demos, proof-of-concepts, security and architecture reviews, and integration workshops that remove deal risk and accelerate time to close.
- Design and execute migrations and implementation plans that set customers up for long-term success; provide clear handoffs to post-sale teams (context, decisions, risks, and next steps).
- Build and maintain realistic, scalable demo environments and reference configurations that mirror enterprise workflows and enable Sales to tell a credible, repeatable story.
- Codify lifecycle playbooks and enablement: create technical training for sales and post-sale teams, curate exemplars, and continuously improve the technical sales motion.
What We’re Looking For
- 5+ years in a Solutions Engineering, Pre-Sales, or similar role at a high-growth SaaS company, with experience supporting enterprise-scale deals.
- Strong hands-on experience with OAuth2 and GraphQL, data migrations, and product integrations
- Excellent communication skills—able to present complex technical concepts clearly to both engineers and executives
- Experience with Github and git; Linear and/or Jira strongly preferred
- Proven ability to build realistic, scalable demo environments and troubleshoot production issues
- CS degree or engineering background strongly preferred
- Collaborative mindset with experience partnering across Sales, Product, and Customer Success teams
- Comfort with SQL and scripting (e.g., Python or JavaScript)
What we offer
We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect:
- Competitive salary and equity
- Employee-friendly equity terms
- Daily meal and coffee stipend on every workday
- Paid co-working space or desk
- Health coverage (based on country requirements)
- 5 weeks paid vacation, plus local statutory holidays
- 4 months paid parental leave
- Paid month off after 4 years & every 2 years thereafter
- Regular team events and off-sites
Learn how we think and work:
- How we work: Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear
- Our hiring process: How we hire at Linear https://linear.app/now/how-we-hire-at-linear
- A story about our mission: Read Me https://linear.app/readme
- A video series: Conversations on Quality https://linear.app/quality
- Karri’s Every interview: Most SaaS Companies Got AI Wrong. Linear Waited. https://www.youtube.com/watch?v=8QcW9-dal0g
- Read about our recent Series C Fundraise https://linear.app/now/building-our-way and Giving our team liquidity https://linear.app/now/giving-our-team-liquidity-through-linear-s-first-tender-offer
- Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear
Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.
A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app http://linear.app email address, and all open roles are listed at linear.app/careers http://linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to security@linear.app.
Задачи:
— Участие в проектировании и разработке новой платформы с нуля
— Реализация компонентов в DDD-подходе (ядро торгов, шлюзы, адаптеры, кэш и др.)
— Проработка интерфейсов взаимодействия с внешними системами
— Разработка микросервисов, логирование, покрытие тестами
— Участие в выборе архитектурных решений, обсуждениях с командой аналитиков и QA
Требования:
— Опыт работы от 4-х лет
— Опыт разработки на стеке Golang (PostgreSQL, Kafka, Docker)
— Знание SQL и опыт работы с СУБД (PostgreSQL/MySQL) и NoSQL (Redis, Kafka, MongoDB)
— Умение разрабатывать микросервисы
— Опыт работы с высоконагруженными системами
— Знание и умение применять SOLID принципы в разработке
— Понимание и применение паттернов проектирования
— Навыки тестирования приложений
— Опыт работы с AWS/GCP сервисами
— Понимание принципов микросервисной архитектуры
Будет плюсом:
— Опыт разработки на Python и/или PHP
— Опыт работы с системами оркестрации k8s / OKD
— Опыт работы с СУБД Clickhouse и Tarantool
Условия:
— Оформление: ИП или ГПХ
— 5-дневная рабочая неделя с гибким началом дня (8:00-11:00 по Мск)
— Удобный формат работы: полная удаленка
— Современные и интересные проекты
— Возможность обучения и карьерного роста
Location: London
Perplexity is looking for a Search Machine Learning Engineer Intern to help build the next generation of advanced search technologies, with a focus on retrieval and ranking. You will work closely with experienced engineers to improve search quality, experiment with new models, and ship features that directly impact how users search and discover information.
Internship program: 12 - 24 weeks, full-time, in-person in the London office.
Responsibilities:
- Contribute to experiments that improve search quality through better models, data usage, and evaluation tools, under the guidance of senior engineers.
- Design and implement components of the search platform and model stack, including retrieval, ranking, and classification models.
- Train evaluating models (including LLM-based approaches) for retrieval, ranking, and classification tasks.
- Support deployment and monitoring of search and ranking models in a scalable and performant way.
- Help build and iterate on RAG pipelines for grounding and answer generation.
- Collaborate with Data, AI, Infrastructure and Product teams to deliver improvements quickly and learn best practices in production ML.
Qualifications:
- Strong foundation in machine learning and statistics, with coursework or projects related to information retrieval, ranking, or recommender systems.
- Experience with Python and common ML frameworks (e.g. PyTorch, TensorFlow, JAX) through academic, open source, or personal projects.
- Familiarity with evaluating model quality using offline metrics and/or A/B testing is a plus, but not required.
- Previous experience (internships, research, or significant projects) working on search, recommendation, or NLP is a plus, but not required.
- Self-driven and curious, with a strong sense of ownership, willingness to learn, and comfort working in a fast-paced environment
- Experience with Rust will be a plus
Location: Europe
Workplace: Remote
Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US.
As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations.
Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow.
We’re looking for a Principal Engineer to join the ML Platform team at Synthesia.
Our team builds and operates the systems that allow researchers and product teams to train, serve, and deploy generative models reliably and efficiently. This includes research infrastructure, production serving systems, internal tooling, and the platform interfaces that connect them. A growing part of our mission is making these systems more automation-friendly and agent-oriented, so that workflows can increasingly be operated through reliable tooling rather than manual effort.
We’re looking for a strong generalist with a systems mindset:
- someone who is comfortable working across infrastructure, backend systems, and tooling, and who has seen ML systems in practice.
- this is not a pure ML Engineer role. We’re especially interested in people who think deeply about reliability, scalability, performance, and resource efficiency in complex production environments.
This is a hands-on IC role with significant ownership. You’ll help shape how our ML platform evolves as we scale the number of models, workloads, tools and teams relying on it.
WHAT YOU’LL DO
- Design and improve the platform systems that support model training, evaluation, and production serving.
- Build infrastructure and tooling that make ML workloads more reliable, scalable, and cost-efficient.
- Develop internal tools and workflows that are easy to operate both by humans and by agents.
- Work on the architecture behind how models are deployed, served, and operated across research and product environments.
- Improve how we schedule, monitor, and debug workloads running on GPUs and cloud infrastructure.
- Develop internal tools and abstractions and agentic systems that reduce operational overhead for researchers and engineers.
- Drive improvements across observability, automation, reliability, and developer experience.
- Collaborate closely with researchers and product engineers to understand pain points and turn them into robust platform capabilities.
- Contribute to technical direction and make pragmatic architectural tradeoffs as the platform grows.
YOU’LL THRIVE IN THIS ROLE IF YOU HAVE
- Strong experience building or operating production systems with a focus on reliability, scalability, and maintainability.
- A systems mindset: you naturally think in terms of bottlenecks, failure modes, interfaces, resource usage, and long-term operability.
- Solid hands-on experience with cloud infrastructure, Linux, and infrastructure automation.
- Experience with Kubernetes and operating distributed workloads in production.
- Strong coding skills, ideally in Python or similar languages used for backend systems and tooling.
- Strong judgment around where automation adds leverage, and where human control and reliability matter most.
- Experience building internal platforms, developer tooling, or infrastructure abstractions used by other engineers.
- Comfort working in ambiguous environments and taking ownership of open-ended technical problems.
- A pragmatic approach: you care about solving the right problem well, not over-engineering.
PARTICULARLY RELEVANT EXPERIENCE
- Operating ML infrastructure or model serving systems in production.
- Supporting research or data-intensive workloads.
- Working with GPU-based systems or other performance-sensitive infrastructure.
- Experience with observability and debugging in distributed systems.
- Familiarity with Terraform, Datadog, GitHub Actions, or similar tools.
BONUS POINTS FOR
- Experience building agentic or LLM-powered internal tools.
- Experience with workflow orchestration systems such as Temporal.
- Experience working at the boundary between research and production engineering.
- Familiarity with performance optimization, scheduling, or resource allocation problems.
- Experience building lightweight product or developer-facing tools.
Location: Espoo; Berlin
Workplace: Hybrid
- Title: Staff Platform Engineer
- Department: Platform & Release Engineering
- Location: Espoo, Finland / Berlin, Germany
- Reports to: Infrastructure Engineering Lead
- Employment type: Permanent
- Workplace model: Hybrid
- Employment is subject to applicable security screening (incl. SUPO)
WHY THIS ROLE MATTERS:
As a Senior / Staff Platform Engineer, you’ll own and evolve the foundations that all services rely on, leading the design and operation of a secure, scalable Kubernetes platform across cloud and on-prem environments so product teams can ship faster with less friction and stronger reliability at scale.
WHO WE ARE
ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy, day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits.
As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring including oil-spill detection, and finance, contributing to global security and community resilience.
ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation.
YOUR DAY-TO-DAY RESPONSIBILITIES
- Design, operate, and continuously improve a secure, scalable, and resilient Kubernetes platform across cloud and on-prem environments
- Build and maintain standardized platform capabilities such as ingress, service mesh, secrets management, and lifecycle automation
- Develop reusable infrastructure patterns and Terraform modules for AWS and on-prem platforms to enable fast, auditable provisioning
- Strengthen observability through clear metrics, logs, traces, dashboards, and actionable alerting that support effective operational decisions
- Reduce platform friction for product teams by providing architectural guidance, platform standards, and hands-on enablement
- Automate platform lifecycle management including bootstrap, upgrades, scaling, and operational maintenance to reduce manual effort and risk
- Drive technical direction and sound architectural choices across platform engineering with pragmatic trade-offs between reliability, security, speed, and maintainability
- Help raise engineering maturity by mentoring others and shaping shared engineering standards across teams
WHAT WE’RE LOOKING FOR
MUST HAVES:
- 8+ years of experience in Platform Engineering, SRE, DevOps, or infrastructure roles operating production-critical services at scale
- Deep hands-on expertise with Kubernetes, including cluster architecture, upgrades, control plane operations, networking, ingress, storage, security, and lifecycle management
- Strong understanding of AWS fundamentals, including networking, IAM, compute, storage, and security patterns
- Strong experience with Terraform and infrastructure as code, including reusable modules, abstractions, and scalable provisioning patterns
- Strong practical observability experience, including SLO and SLI design, instrumentation, dashboarding, alert strategy, and production performance analysis
- Proficiency in at least one backend language such as Python or Go for automation, tooling, and internal platform capabilities
- Experience providing technical leadership through platform standards, architectural guidance, and hands-on enablement
- Ability to operate effectively in complex environments and make pragmatic technical decisions across reliability, security, speed, and maintainability
NICE TO HAVES:
- Experience with Rancher, Istio, External Secrets, Vault, and software supply-chain hardening practices
- Experience operating Kubernetes in restricted, disconnected, or air-gapped environments
- Experience with hybrid platforms spanning AWS and on-prem environments such as vSphere or VxRail
APPLICATION PROCESS
- Talent Attraction Introduction
- Hiring Manager Alignment
- Task Assignment
- Technical Interview
- Director Interview
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 and we will 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.
Location: Espoo
Workplace: Hybrid
- Title: Senior RF Engineer, Radar Payload Team
- Location: Espoo, Finland
- Department: Spacecraft Hardware
- Reports to: Radar Payload Team Lead
- Employment type: Permanent
- Workplace model: Hybrid
- Employment is subject to applicable security screening (incl. SUPO)
WHY THIS ROLE MATTERS:
As a Senior RF Engineer, you’ll own end-to-end RF hardware development for ICEYE’s radar payloads, enabling high-performance SAR capabilities that deliver actionable intelligence from space in near real time.
WHO WE ARE
ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy, day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits.
As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring including oil-spill detection, and finance, contributing to global security and community resilience.
ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation.
YOUR DAY-TO-DAY RESPONSIBILITIES
- Own RF subsystems across the radar chain, including Tx/Rx, front-end, frequency conversion, LO and filtering stages, and interfaces to digital
- Translate mission needs into RF requirements, architecture trades, and implementable hardware designs
- Design, simulate, and validate RF circuits for X-band and above, ensuring performance aligns with system targets
- Execute hands-on lab work, including bring-up, debugging, root-cause analysis, and RF performance tuning
- Run EM and circuit simulations and correlate results with measurements to de-risk designs
- Create and review schematics and PCB layouts with RF-critical considerations such as impedance control, grounding, and isolation
- Define and execute verification strategies, including test plans, validation, and acceptance criteria
- Drive technical decisions, mentor engineers, and collaborate cross-functionally to deliver flight-ready hardware
WHAT WE’RE LOOKING FOR
MUST HAVES:
- 10+ years of experience delivering RF hardware products end-to-end, including shipped or qualified systems
- Strong hands-on RF lab expertise with measurement, debugging, and correlation using standard RF test equipment
- Proven experience with RF simulation tools such as ADS and 3D EM tools such as HFSS or CST
- Solid PCB design experience with RF layout best practices, using tools such as Altium
- Deep understanding of RF fundamentals including linearity, noise figure, phase noise, spurs, filtering, and stability
- Experience owning RF subsystems across the full lifecycle from requirements through production support
- Ability to lead technically, make trade-offs, and communicate clearly across disciplines
- Working knowledge of Python for analysis, automation, or tooling
NICE TO HAVES:
- Experience with radar payloads, spaceborne RF systems, or aerospace or defense hardware
- Familiarity with ECSS, MIL-STD, or similar qualification and environmental testing standards
- Experience with antenna systems, RF packaging, or high-power and low-noise RF design
APPLICATION PROCESS
- Recruiter screening
- Hiring manager interview
- Technical task
- Technical panel interview
- Final interview
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 and we will 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.
Location: Espoo
Workplace: Hybrid
- Title: Staff Electronics Engineering
- Location: Espoo, Finland
- Department: Avionics
- Reports to: Avionics Team Lead
- Employment type: Permanent
- Workplace model: Hybrid
- Employment is subject to applicable security screening (incl. SUPO)
WHY THIS ROLE MATTERS:
As a Staff Electronics Engineer - Avionics, you’ll define and drive the technical direction of ICEYE’s spacecraft electronics, owning mission-critical systems end-to-end while shaping how we design, scale, and deliver high-reliability satellite hardware.
WHO WE ARE
ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy, day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits.
As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring including oil-spill detection, and finance, contributing to global security and community resilience.
ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation.
YOUR DAY-TO-DAY RESPONSIBILITIES
- Lead the design, development, validation, and qualification of high-reliability mixed-signal electronics for satellite systems
- Own critical avionics systems end-to-end, from concept through design, testing, and in-orbit support
- Drive technical direction, engineering standards, and best practices across hardware teams
- Coordinate complex, cross-functional development projects across engineering disciplines
- Use data, testing, and industry insights to guide architectural decisions and improve system performance
- Anticipate future platform needs and define scalable hardware and development approaches
- Perform hands-on lab work, including bring-up, debugging, root-cause analysis, and validation
- Mentor engineers and elevate engineering capability across the organization
WHAT ARE WE LOOKING FOR
MUST HAVES:
- 10+ years of experience in electronics engineering in fast-paced or mission-critical environments
- Proven experience leading complex, cross-functional hardware projects with broad organizational impact
- Strong expertise in board-level design, including schematics, PCB layout, simulation, bring-up, and validation
- Strong hands-on experience with laboratory and system-level measurements using advanced test equipment
- Proven ability to troubleshoot and resolve complex system-level issues using data-driven approaches
- Ability to guide architectural decisions and balance performance, reliability, cost, and manufacturability
- Strong communication skills in English with ability to influence both technical and non-technical stakeholders
- Ability to work independently while mentoring and supporting other engineers
NICE TO HAVES:
- Degree in Electrical Engineering or related field
- Experience with Python and scripting in Linux environments
- Experience in aerospace or other high-reliability industries
- Understanding of on-orbit challenges such as radiation, thermal behavior, and continuous operation
APPLICATION PROCESS
- Recruiter screening
- Hiring manager interview
- Technical task
- Technical panel interview
- Final interview
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 and we will 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.
Location: Espoo
Workplace: Hybrid
- Title:: Technical Release Manager
- Department: Platform & Release Engineering
- Location: Espoo, Finland
- Reports to: Release Engineering Lead
- Employment type: Permanent
- Workplace model: On-site/Hybrid
- Employment is subject to applicable security screening (incl. SUPO)
WHY THIS ROLE MATTERS:
The Technical Release Manager owns the end-to-end execution of releases in practice. This role ensures that releases are correctly prepared, executed, validated, and closed across engineering, product, and delivery teams.
The Technical Release Manager is hands-on during release windows, acts as the primary operational contact, and ensures that what was planned is what actually runs in production. This role does not design release tooling or strategy but uses those systems to drive safe and predictable releases
WHO WE ARE
ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy, day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits.
As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring including oil-spill detection, and finance, contributing to global security and community resilience.
ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation.
KEY DUTIES
(Coordinate → Prepare → Execute → Verify → Close)
- Implement the release process and work closely with the other release representatives to create a seamless release experience for the organization
- Coordinate end-to-end release execution across engineering, product management and delivery and support teams
- Prepare and track release content, configurations, and dependencies to ensure technical readiness
- Execute and support releases, including hands-on post-deployment validation and sanity checks
- Validate release content, configurations, feature flags, and release-specific settings
- Act as the primary operational point of contact during release windows
- Identify, communicate, and escalate execution risks and blockers
- Ensure release outcomes and follow-ups are clearly documented
- Acts as gatekeeper together with QA Manager to make sure the set quality targets have been met
- Owns the feedback loop through the whole release process through to delivery team and facilitate that information back to the product development organization
WHAT ARE WE LOOKING FOR
Core Experience
- 5+ years of hands-on experience in one of the following roles:
Release Manager, DevOps Engineer, Software Developer, or Technical Project Manager
- Direct experience executing releases in a CI/CD-driven environment
CI/CD & Tooling
- Hands-on experience running, monitoring, and troubleshooting releases using GitHub Actions
- Ability to interpret pipeline stages, logs, failures, and test signals
- Experience triggering, re-running, rolling back, and validating pipeline executions
- Working knowledge of Python or scripting to support release execution and operational automation
Release Execution & Coordination
- Experience running release syncs, tracking readiness, and managing cross-team dependencies
- Ownership of release communications and internal release notes
- Comfortable making and coordinating go / no-go decisions within defined criteria
APPLICATION PROCESS
- Hiring Manager Interview
- Technical Task
- Technical Discussion
- Stakeholder Interview
- Final Interview
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 and we will 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.
seniorГеография найма не уточнена
San Francisco, CA
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.
УдалённоUnited States & Canada; Benefits and Perks (US Only) 💖
ОфисleadГеография найма не уточнена
УдалённоseniorBarcelona, Spain; If you're only interested in technical challenges without engaging in the product decisions behind them, or you'd rather not work with AI, this probably isn't the right role for you; Hybrid or remote work (up to 2 hours difference from GMT+2)
Bengaluru, Karnataka, India, APAC
ОфисСтажёрRelocation expense coverage to NYC or SF (if needed)
Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team
