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Location: GB - United Kingdom Scopely is looking for a Senior Quality Engineer to join the MONOPOLY GO! team. The role can be based remotely in the UK, or in Barcelona or Seville on a hybrid basis, with three days a week in the office. MONOPOLY GO! is a global phenomenon and the biggest mobile game launch in history, captivating millions of players worldwide. At Scopely, we care deeply about what we do and want to inspire play every day—whether in our work environments alongside our talented colleagues or through our deep connections with our communities. We are a global team of game lovers developing, publishing, and innovating across the games industry, connecting millions of players around the world every day. The MONOPOLY GO! Tech Vertical develops the platforms, services, and engineering capabilities that support a reliable, responsive mobile gaming experience.We are building a Quality Engineering organization that embeds quality throughout development through automation, continuous validation, and shared engineering ownership. The Role We are looking for a Senior Quality Engineer who enjoys writing code, solving complex problems, and building tools that help teams deliver with confidence. Reporting to the Quality Director of Tech, you will help establish our QE capabilities through hands-on development of automation frameworks, test infrastructure, and quality insights across mobile, Unity, APIs, integrations, performance, and CI/CD. You will help build our Quality Engineering capabilities incrementally, prioritizing the areas of greatest risk and value with the team. We are building these capabilities while supporting an active live-service game. You will take ownership of immediate testing needs, including manual, exploratory, and release validation, while developing sustainable automation and tooling. A willingness to test directly is essential. You will use what you learn to guide automation priorities, while recognizing the continuing value of exploratory testing, and develop practical AI capabilities that improve engineering effectiveness. What You Will Do Build reusable engineering solutions. Write, review, debug, and maintain automation frameworks, tools, and test infrastructure that other engineers can adopt and extend. Improve testability from the start. Participate in technical design and code reviews to identify risks early and improve test hooks, service interfaces, and diagnostic capabilities. Balance building with hands-on testing. Perform manual, exploratory, and release testing where automation is not yet available or direct investigation provides greater value. Meet current delivery needs while building sustainable solutions. Develop mobile and Unity automation. Automate Android, iOS, and Unity workflows, accounting for device differences, application lifecycle events, network conditions, and client performance. Strengthen API and integration testing. Validate backend services, service contracts, client-server interactions, data integrity, and failure recovery through reliable automated tests. Validate player-state consistency and recovery. Test interrupted sessions, reconnects, retries, and client-server synchronization to help protect player progress and data integrity. Investigate failures across systems. Use logs, metrics, traces, crash reports, and telemetry to investigate client, backend, and integration failures, support root-cause analysis, and turn findings into regression coverage. Validate mobile and backend performance. Profile frame rate, memory usage, application startup, crashes, and responsiveness. Develop backend load, stress, and endurance tests, establish meaningful baselines, and investigate bottlenecks and regressions with engineers. Apply risk-based testing. Prioritize validation by player impact, technical complexity, change scope, and failure history. Combine service-level tests, targeted end-to-end automation, and exploratory testing. Integrate validation into CI/CD. Deliver reliable automated feedback, useful diagnostics, and maintainable quality checks. Improve test stability and execution time, with clear ownership of failures. Improve test data and environments. Build utilities, fixtures, and repeatable setup processes that make testing dependable and defects easier to reproduce. Develop AI-assisted quality workflows. Build and evaluate solutions for test generation, failure triage, regression selection, and coverage analysis, with human review and measurable outcomes. Strengthen telemetry validation and quality visibility. Partner with engineering and analytics to validate telemetry accuracy, completeness, duplicates, schema changes, and data freshness. Query large datasets to investigate issues and build quality dashboards that inform risk assessment and release decisions. Help establish the QE organization. Contribute standards, documentation, reusable patterns, and mentoring. Partner with developers, Quality Analysts, and technical leaders to strengthen shared ownership of quality. What We're Looking For Demonstrated quality engineering, software development in test, or software engineering experience, including hands-on ownership of automation used by other engineers. Strong programming skills in C# or Python, with the ability to work effectively in Unity and automation codebases. Experience in source control, code reviews, debugging, and maintainable software design. Practical experience testing and automating Android and iOS applications, including device coverage, operating system differences, and unreliable network conditions. Experience developing API and integration tests, diagnosing failures across services and data flows, and integrating reliable automated tests into CI/CD. Working knowledge of performance, risk-based, and exploratory testing, with sound judgment about what to automate and when to investigate directly. Working knowledge of SQL and practical experience with telemetry and big data, including querying large datasets, validating events and data pipelines, and using findings to guide testing and release decisions. Experience with AI-assisted engineering tools and the ability to evaluate the accuracy and usefulness of their outputs. Strong ownership and collaborative problem-solving, with the ability to turn ambiguous needs into practical solutions. A passion for quality, mobile games, AI, and technology. Advanced professional proficiency in spoken and written English, sufficient to participate independently in technical discussions, explain engineering decisions, and write clear documentation with global teams. Additional experience we value Hands-on experience with Unity, C#, Unity Test Framework, or automated testing of Unity-based mobile games. Experience with live-service games, player-state consistency, reconnect behavior, live configuration, or client-server synchronization. Experience with mobile device farms, observability, quality dashboards, or establishing QE capabilities within a growing team. What success looks like Teams receive faster, more trustworthy feedback and clearer visibility into release risk. Immediate testing needs are met while dependable automation grows around critical player journeys and integrations. Performance regressions surface earlier, failures are easier to diagnose, and repetitive effort decreases. Your tools are maintained, documented, and adopted by other engineers, and AI capabilities demonstrate measurable value. About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Plaid is looking for an Engineering Manager Consumer to lead engineers building and migrating a unified onboarding platform.

Location: Ukraine; Spain; Slovakia; Serbia; Yerevan; Slovenia; Poland Workplace: remote Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDE and an FDX,  Forward Deployed Executives (FDX) own the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs. Forward Deployed Engineers (FDE) embed with a client, map the client workflow, identify the business problem underneath it, design and build a working AI solution, present to the client, and transfer the knowledge to the client's team. Owns technical direction of the whole solution. Senior AI Engineer. When an FDE comes back from the client with the business problem, you will help turn that into an agentic system that runs in production and will be responsible for evaluation, observability, and guardrails.  You'll have real ownership of components and of the technical decisions inside them. Requirements: Mindset Proactive and self-directed; you push for clarity rather than waiting for a ticket Excellent communication and problem-solving skills Comfort with ambiguity and ownership. B2+ English, comfortable collaborating across distributed, multicultural teams. Technical depth 5+ years in software or ML engineering, with production systems you were accountable for. Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes. Shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks. Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production. Strong engineering fundamentals. Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure. Python and/or TypeScript proficiency; depth matters more than stack. Dropped into an unfamiliar codebase, you're productive. Hands-on AWS in production: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus. Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release. Model and agent monitoring, drift detection. Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs. Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus. MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus. Nice to Have: Experience in one of the industries: financial services, insurance, healthcare. Consulting, professional services, or other embedded customer-facing delivery. AWS and Claude Code Certifications A2A: you can explain agent-to-agent interoperability CI/CD pipeline experience (GitHub Actions, GitLab CI) Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. Experience in an additional language (Go, TypeScript, or Rust). Experience with Apache Spark, Apache Airflow, Kafkа Responsibilities: Work in a pair with an FDE and an FDX. Build and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Build and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Integrate AI components into backend services and RESTful APIs Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD. Implement LLMOps and AgentOps practices: agent tracing, prompt and version management, cost and latency monitoring, regression testing, drift detection Start from the blueprint, contribute to enablement and handover: clear documentation, runbooks, and pairing with the client engineers who will inherit the system. Feed reusable components and lessons back into the Provectus Blueprints Participate in technical discussions and architectural decisions Conduct model evaluation, improve failure modes you find, optimize model performance, efficiency, and reliability Mentor junior and mid-level AI engineers, conduct code reviews and share knowledge across the team through documentation, presentations, and workshops. What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside FDE and FDX A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire: Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

Location: North Macedonia; Bosnia and Herzegovina; Czechia; Croatia; Moldova; Bulgaria; Montenegro Workplace: remote Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDE and an FDX,  Forward Deployed Executives (FDX) own the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs. Forward Deployed Engineers (FDE) embed with a client, map the client workflow, identify the business problem underneath it, design and build a working AI solution, present to the client, and transfer the knowledge to the client's team. Owns technical direction of the whole solution. Senior AI Engineer. When an FDE comes back from the client with the business problem, you will help turn that into an agentic system that runs in production and will be responsible for evaluation, observability, and guardrails.  You'll have real ownership of components and of the technical decisions inside them. Requirements: Mindset Proactive and self-directed; you push for clarity rather than waiting for a ticket Excellent communication and problem-solving skills Comfort with ambiguity and ownership. B2+ English, comfortable collaborating across distributed, multicultural teams. Technical depth 5+ years in software or ML engineering, with production systems you were accountable for. Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes. Shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks. Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production. Strong engineering fundamentals. Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure. Python and/or TypeScript proficiency; depth matters more than stack. Dropped into an unfamiliar codebase, you're productive. Hands-on AWS in production: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus. Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release. Model and agent monitoring, drift detection. Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs. Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus. MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus. Nice to Have: Experience in one of the industries: financial services, insurance, healthcare. Consulting, professional services, or other embedded customer-facing delivery. AWS and Claude Code Certifications A2A: you can explain agent-to-agent interoperability CI/CD pipeline experience (GitHub Actions, GitLab CI) Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. Experience in an additional language (Go, TypeScript, or Rust). Experience with Apache Spark, Apache Airflow, Kafkа Responsibilities: Work in a pair with an FDE and an FDX. Build and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Build and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Integrate AI components into backend services and RESTful APIs Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD. Implement LLMOps and AgentOps practices: agent tracing, prompt and version management, cost and latency monitoring, regression testing, drift detection Start from the blueprint, contribute to enablement and handover: clear documentation, runbooks, and pairing with the client engineers who will inherit the system. Feed reusable components and lessons back into the Provectus Blueprints Participate in technical discussions and architectural decisions Conduct model evaluation, improve failure modes you find, optimize model performance, efficiency, and reliability Mentor junior and mid-level AI engineers, conduct code reviews and share knowledge across the team through documentation, presentations, and workshops. What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside FDE and FDX A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire: Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

Location: Ukraine; Serbia; Yerevan; Spain; Slovakia; Slovenia; Poland Workplace: remote Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDX; our delivery arc is Sprint → Enable → Realize: Forward Deployed Executive (FDX) owns the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs — revenue growth, cost reduction, risk reduction. Forward Deployed Engineer (FDE) embeds with a client to change how that client operates. You own the method; nobody hands you a ticket. You map the client workflow as it actually happens, identify the business problem underneath it, build a working AI solution, present to the client in the language of outcomes, and transfer it. Provectus maintains industry Blueprints — working systems that have already shipped for a client in the same industry — so you begin from running code and tuning it to this client's specific book, regulators, and operating posture. You will be measured on whether the Business Unit's number moved, not on hours or scope delivered. What You’ll Do: Take the seat Sit with the client and the Forward Deployed Executive at the start of an engagement. Learn the function from inside, not from a requirements doc, and redesign the function from first principles. Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset flow. Build Design and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Implement and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Define what working means, instrument it, and let the evals drive the design. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD, automated testing, monitoring, and maintainable after we leave. Hand the system over to the client. Start from the blueprint, and feed the blueprint. What you learn in the field becomes the baseline the next engagement starts from. Lead architecture reviews, produce technical design documents, and contribute to standards. Mentor engineers and share knowledge across the team. Own the outcome. Work in a pair with a FDX who carries the Business Unit’s KPIs. Your work is measured against the same number. Own the technical direction of technical proposals and scoping. Drive adoption. Change management is part of the engineering job here. Be credible with the customer’s engineers and their executives. Shape what we commit to before we commit to it. What You’ll Bring: Mindset Proactive and self-directed; identify problems before they're handed to you Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job B2+ English, comfortable collaborating across distributed, multicultural teams Client Engagement You are willing to spend time understanding and doing someone else’s job on the client's side before you write a line of code Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO, presenting outcomes to them You can produce a scoped, phased delivery plan with clear deliverables, dependencies, and risks — and estimate what it will cost to build and to run Technical depth 7+ years building and running production systems. Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes Designed and shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Experience in making and defending architectural trade-off decisions Hands-on AWS production depth: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release Model and agent monitoring, drift detection Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus Nice to have: Prior experience as a founder, CTO, or engineering leader who has chosen to return to individual contribution Experience in one of the industries: financial services, insurance, healthcare Consulting, professional services, or other embedded customer-facing delivery A2A: you can explain agent-to-agent interoperability AWS and Claude Code Certifications CI/CD pipeline experience (GitHub Actions, GitLab CI) Experience in an additional language (Go, TypeScript, or Rust) Experience with Apache Spark, Apache Airflow, Kafkа What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire: Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

Location: North Macedonia; Montenegro; Moldova; Bulgaria; Czechia; Bosnia and Herzegovina; Croatia Workplace: remote Provectus is an AWS Premier Partner and an Anthropic Strategic Partner , working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDX; our delivery arc is Sprint → Enable → Realize: Forward Deployed Executive (FDX) owns the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs — revenue growth, cost reduction, risk reduction. Forward Deployed Engineer (FDE) embeds with a client to change how that client operates. You own the method; nobody hands you a ticket. You map the client workflow as it actually happens, identify the business problem underneath it, build a working AI solution, present to the client in the language of outcomes, and transfer it. Provectus maintains industry Blueprints — working systems that have already shipped for a client in the same industry — so you begin from running code and tuning it to this client's specific book, regulators, and operating posture. You will be measured on whether the Business Unit's number moved, not on hours or scope delivered. What You’ll Do: Take the seat Sit with the client and the Forward Deployed Executive at the start of an engagement. Learn the function from inside, not from a requirements doc, and redesign the function from first principles. Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset flow. Build Design and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Implement and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Define what working means, instrument it, and let the evals drive the design. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD, automated testing, monitoring, and maintainable after we leave. Hand the system over to the client. Start from the blueprint, and feed the blueprint. What you learn in the field becomes the baseline the next engagement starts from. Lead architecture reviews, produce technical design documents, and contribute to standards. Mentor engineers and share knowledge across the team. Own the outcome. Work in a pair with a FDX who carries the Business Unit’s KPIs. Your work is measured against the same number. Own the technical direction of technical proposals and scoping. Drive adoption. Change management is part of the engineering job here. Be credible with the customer’s engineers and their executives. Shape what we commit to before we commit to it. What You’ll Bring: Mindset Proactive and self-directed; identify problems before they're handed to you Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job B2+ English, comfortable collaborating across distributed, multicultural teams Client Engagement You are willing to spend time understanding and doing someone else’s job on the client's side before you write a line of code Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO, presenting outcomes to them You can produce a scoped, phased delivery plan with clear deliverables, dependencies, and risks — and estimate what it will cost to build and to run Technical depth 7+ years building and running production systems. Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes Designed and shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Experience in making and defending architectural trade-off decisions Hands-on AWS production depth: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release Model and agent monitoring, drift detection Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus Nice to have: Prior experience as a founder, CTO, or engineering leader who has chosen to return to individual contribution Experience in one of the industries: financial services, insurance, healthcare Consulting, professional services, or other embedded customer-facing delivery A2A: you can explain agent-to-agent interoperability AWS and Claude Code Certifications CI/CD pipeline experience (GitHub Actions, GitLab CI) Experience in an additional language (Go, TypeScript, or Rust) Experience with Apache Spark, Apache Airflow, Kafkа What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire: Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

Location: Warsaw, Poland What is Box? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. Why Box needs you: The Content Creation team owns Notes and Canvas products of Box's platform. The functionality that this team builds is used by our largest cohorts of users (versus just admin users). They are the only true real-time service at Box, using web sockets to deliver a real-time editing product. It's a complex problem space that we are experts in, and it's a great team to join if you want to contribute to creating one of the most vital Box products. The team is developing Front-End with React.js, for Back-End tasks they use mostly Node.js. Responsibilities: Develop high-quality, scalable, and responsive software using modern technologies. Write clean, efficient, and maintainable code using industry best practices. Partner with cross-functional teams to onboard, share knowledge, and align on current responsibilities and priorities Participate in regular team meetings and manager 1:1s to ensure alignment, growth, and continuous improvement Create clear technical documentation, reusable patterns, and examples to scale knowledge across engineering teams Leverage AI tools (e.g., Claude, Cursor) to accelerate development, research, documentation, and bug triage while maintaining high standards of quality and security Represent and advocate for Box Poland’s engineering excellence both internally and externally Contribute to improving legacy parts of codebase Contribute to defining and implementing engineering and operational standards across product teams Participate in our on-call rotation, available at all times while on-call to help respond to and triage any issues that arise. Requirements: 4+ years of professional software development experience, with 2+ years of with significant backend contributions and 2+ years of frontend contributions. Strong coding skills with demonstrated fluency in Node.js + TypeScript for backend. Experience designing and implementing APIs and distributed services; solid grasp of system design and data modeling. Demonstrated fluency in JavaScript/TypeScript with at least one modern frontend framework ( React preferred). Strong understanding of state management, responsiveness, accessibility, performance, and security basics. Some experience in design, building, and deploying high-quality software in cloud environments. Strong knowledge of algorithms, data structures, software design principles, and object-oriented programming. Passionate about new technologies with the capability to implement them in existing products. Demonstrates ownership mentality and strives for excellence in both technical work and team interactions. Proficient in English. Nice to have: Experience with Google Cloud Platform and/or Amazon Web Services. Experience with Web sockets and real-time applications Experience contributing to cross-platform solutions as part of a team Experience in optimizing dev setup, pipelines etc for more smooth software development At Box, we believe that providing the best tools leads to the best outcomes. That's why we equip our engineers with AI-powered development tools like Cursor IDE and GitHub Copilot to help you write better code faster. Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week , with a focus on Tuesdays, Wednesdays, and Thursdays. Your Recruiter will share more about how we work and company culture during the hiring process. Check out the overview of the benefits and additional perks offered at Box. Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week, with a focus on Tuesdays, Wednesdays, and Thursdays. Your Recruiter will share more about how we work and company culture during the hiring process. EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation". For details on how we protect your information when you apply, please see our Personnel Privacy Notice . For more details on how Box Poland protects your information, please see our Supplemental Personnel and Candidate Privacy Notice . NOTICE OF USE OF AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here .

— Collaborating closely with Product Designers, focusing on new feature design and prototyping; — Being involved in the user experience design process, from wireframes and mockups through implementation and release;

Location: Amsterdam Workplace: OnSite ABOUT US: Tebi is creating the first Connected Restaurant Management System that makes hospitality flow. In one seamless platform, Tebi embeds sales, reservations, kitchen prep, payments, and all the data that powers it, creating smooth service and intuitive insights. Founded by Arnout Schuijff, co-founder of Adyen, and backed by €50 million in funding from Index Ventures & CapitalG, Tebi is built in service of hospitality first. Thousands of restaurants, cafés, bars, and coffee shops across the Netherlands, UK, Italy, Spain, Germany, Denmark and Finland already love running on Tebi.   ABOUT THE ROLE: We’re looking for a Senior AI Engineer to build and run the agents at the heart of Tebi OS. You’ll design, ship, evaluate and scale our Product Agents, along with the data pipelines, tools and infrastructure that make them reliable in production. The ideal candidate started in data or ML engineering and has since moved into AI engineering, building LLM-powered agents for real users. You enjoy turning messy financial and operational data into context an agent can reason over and act on with confidence and you are passionate about solving product challenges through AI. You’ll work closely with product and engineering to put intelligence into the hands of hospitality teams. That could be an agent that answers questions about a restaurant’s finances in real time, one that automates repetitive back-office tasks, or internal tools that help us move faster. WHAT YOU’LL DO: - Design, build and operate production agents: orchestration, tool and function calling, memory, multi-step reasoning, and integration with Tebi’s backend services - Build the data foundations agents rely on, including real-time and batch pipelines over financial and operational data, retrieval layers, and well-modeled datasets agents can query safely and accurately - Turn APIs and internal services into well-defined agent tools, and own the contracts between agents and the rest of the platform - Set up evaluation for agent behavior: offline eval sets, LLM-as-judge and human review, regression testing on prompt and model changes, and feedback loops that improve agents over time - Own observability for agents in production by tracing sessions, tool calls and model calls, and tracking latency, cost, error rates and quality - Work with product teams to find where agents can meaningfully improve the customer experience or internal workflows, and say clearly where they can’t - Make sure agents handle data securely and responsibly, with sensible guardrails, access controls, and protection against prompt injection and data leakage WHAT YOU’LL BRING: - 7+ years in software engineering, with a solid base in data or ML engineering - Hands-on experience building and shipping LLM agents to production, not just prototypes. You’ve dealt with flaky tool calls, runaway loops, hallucinated arguments and token budgets, and you have opinions on how to handle them. - Strong data modeling and data warehousing fundamentals, plus experience with ingestion, transformation and data quality - Strong SQL, and experience with pipeline tools (e.g. Airflow, dbt) and analytical or cloud data platforms (e.g. ClickHouse, BigQuery, Snowflake) - Experience evaluating and monitoring LLM systems, and an understanding of the full lifecycle from experiment to deployment to ongoing improvement - Backend engineering skills: you’re comfortable building the API endpoint that exposes an agent’s output to the frontend, or the service an agent calls as a tool - Clear communication, including the ability to explain trade-offs in latency, cost, accuracy and complexity to product partners - A product mindset. You care about how your work lands with users, and you’re keen to meet customers face to face to understand their needs. This probably isn't the role for you if you have been working with AI agents to improve your day to day working flows but you haven’t built an Agent in the production. People who succeed at Tebi are independent, curious and passionate about hospitality. If this speaks to you we can be the right fit. Learn more about how we work from our Recipe here: https://www.tebi.com/gb/careers . BENEFITS: - Start-up Equity - Competitive Salary - Lunch Provided in Office - Team building events - Unlimited time off What is Restaurant Software? Restaurants and other merchants use various software systems such as Point of Sale (POS), Reservations, Kitchen Display Systems (KDS), Payments, Inventory, Staffing, and the list goes on. These systems all need to speak to each other which they frequently don’t. It’s a mess, and we are fixing it. From buying a croissant at a cafe to having dinner with friends, it’s a €4 Trillion+ global market and a critical part of everyday life in today's economy. How we use AI at Tebi We use AI the way our merchants use Tebi, to cut out the friction and get to what matters faster. We believe in a world where AI increases quality, efficiency and speed. At Tebi, AI isn't a policy or a checkbox, it's just part of how we work. It helps us write, analyse, build, and improve but doesn’t make the last call. If there's a smarter way to do something, we want to find it.

Location: Remote - United Kingdom Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join us as our next Senior Solutions Engineer on Twilio’s Digital Sales Communications team! About the job This position is needed to enable our customers to build the future of communications. The Senior Solutions Engineer is a critical part of the sales team focused on our Digital Sales segment. Twilio’s Senior Solutions Engineers are responsible for delivering the technical win and best product fit to our customers.They lead the technical pre-sales relationship, drive technical discovery, propose technical architectures, demonstrate the product, anticipate concerns and offer creative solutions. They build customer trust in Twilio’s solutions. Responsibilities In this role, you’ll: Partner with Account Executives to execute pre-sales activities including opportunity qualification, demonstrations, Proof-of-Concept, RFP, design documentation, technical presentations and enablement sessions. Help customers achieve success by leading the technical and product sale, recommending best-practice solutions, and guiding them on how to use Twilio’s APIs. Establish yourself as a trusted advisor to our customers, by taking the lead on understanding customer technical pains through discovery in order to design, demonstrate, and present innovative solutions that solve business challenges. Build and present highly interactive, complex and engaging customer product demonstrations to help showcase the capabilities of Twilio’s Communications Products, while effectively forming strong customer relationships with both technical and nontechnical stakeholders. Be Hands-on, high-energy, passionate, and a creative problem solver, equipped with the knowledge of how to get things done and ability to lead others to success. Take the initiative to identify and solve problems - both for the customer and within the organization as we grow. Contribute to the broader Twilio Solutions Engineering community through knowledge sharing, constructing demonstration materials, and creating reusable presentations. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: 5+ years of pre-sales experience selling complex, technical products or 3+ years of professional experience supporting technical products coupled with customer facing experience, particularly in delivery or consulting. Excellent communicator and presenter able to gain audience confidence. An engaging storyteller - you can gain audience confidence and communicate complex topics to multiple levels of audience. Ability to build a deep understanding of a customer’s communications needs and guide them to a technical solution. Previous software development experience or working knowledge in one or more of the following areas: Backend (Java, C#, Node.js, Python, PHP) Web development (JavaScript, HTML/CSS, frontend frameworks - React, Vue.js, Angular) Experience building with REST APIs Bachelor’s and/or Master’s degree in a technical discipline (Engineering, Mathematics, Computer Science) or equivalent practical experience. Desired: Familiarity with cloud platforms (Amazon Web Services, Google Cloud, Microsoft Azure) and cloud application architecture. Previous experience in Telecom, SIP, Contact Center, or Security is a plus. Experience with sales methodologies. Location This role will be remote AND based in the United Kingdom. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately 10% travel is anticipated to help you connect in-person in a meaningful way. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: Remote - Global Workplace: Remote We're hiring a Software Engineer to join a growing team building products that reach hundreds of thousands of people thinking about how to do the most good. This is an individual contributor role on our Online Team, and will be responsible for prioritizing and implementing impactful technical work at CEA. This position reports to the incoming Head of Digital Product. You will collaborate closely with our Senior Software Engineer, Senior Product Designer, and EA Forum Product Lead, along with other teams at CEA as needed. We’re aiming to hire a mid-level software engineer, but we would consider hiring at the senior level for the right candidate. ABOUT CEA The Centre for Effective Altruism (CEA) stewards the movement of people putting effective altruism principles into practice to solve the world's most pressing problems. We’re working to build a flourishing future by applying evidence, reason, and compassion to challenges like global poverty, animal suffering, and existential risks. Our work centers on growing and supporting a global community of people who rigorously analyze where they can do the most good – and take action on those insights. Current strategic priorities https://forum.effectivealtruism.org/posts/QkE35oTsasMn37o7R/stewardship-cea-s-2025-26-strategy-to-reach-and-raise-ea-s-1 include increasing understanding of effective altruism and its principles, growing the number of people who are motivated by EA principles to take significant action to address pressing problems, and diversifying funding sources for high-impact work. We had significant success in 2025, building momentum within CEA. Our headcount grew from 42 to 66 core staff. Participation in our programs (e.g., events, courses, groups) grew by 20-25% year over year. We merged https://forum.effectivealtruism.org/posts/BLvTcMMEQGFYsh6Jw/ea-funds-and-cea-are-merging with EA Funds https://funds.effectivealtruism.org/ and are rapidly scaling up our capacity for grantmaking and associated fundraising: our first Fund staffed with full-time employees (EA Animal Welfare Fund https://funds.effectivealtruism.org/funds/animal-welfare), raised almost as much as the previous three years combined. In 2026, we’ve maintained ambitious momentum https://forum.effectivealtruism.org/posts/Dy4iGHbAkKAQ4t2Dw/building-sustainable-momentum-progress-report-on-cea-s-2025 while laying the foundations for a step-change in the wider EA ecosystem’s growth trajectory from 2027 onwards. ABOUT THE ONLINE TEAM The Online Team is a small, fast-paced tech and content team with the expertise to build and run web products that help support and grow the number of people engaging with and applying EA principles to their careers, research, and donations. We own and operate the EA Forum https://forum.effectivealtruism.org/, and provide critical design and engineering capacity for other CEA projects such as the EA Newsletter https://www.effectivealtruism.org/ea-newsletter-archives, the EA Opportunities Board https://www.effectivealtruism.org/opportunities, and our courses https://www.effectivealtruism.org/courses. Over the last few years we’ve also redesigned and rebuilt effectivealtruism.org http://effectivealtruism.org, funds.effectivealtruism.org http://funds.effectivealtruism.org, and centreforeffectivealtruism.org http://centreforeffectivealtruism.org. The EA Forum in particular is one of the EA community building institutions with the widest reach, serving 700K annual visitors. As AI capabilities improve, we’re also exploring how integrating AI into CEA’s online product portfolio and internal tooling can help us have more impact. Our team currently consists of Ollie Etherington https://github.com/oetherington, Senior Software Engineer, Agnes Stenlund https://www.linkedin.com/in/agnesstenlund/,Senior Product Designer, and Toby Tremlett https://www.linkedin.com/in/toby-tremlett-%F0%9F%94%B9-56a5b117a/, EA Forum Product Lead, and we plan to continue expanding in 2027. ABOUT THE ROLE CEA has ambitious goals https://forum.effectivealtruism.org/posts/Dy4iGHbAkKAQ4t2Dw/building-sustainable-momentum-progress-report-on-cea-s-2025 for 2027 and beyond, and we need more software engineering capacity in order to reach those goals. We’re now looking to hire a full-stack engineer who can help make impactful improvements across all of our products. You’ll be implementing new features and bug fixes for various product managers, as well as proactively looking for ways to improve our online products yourself. You’ll be jointly responsible for DevOps, ensuring that all of our sites are fast and reliable, and you’ll take part in our weekly on-call rotation. The vast majority of our code is written in TypeScript and is built on Node.js, React, Next.js, Postgres, and Elasticsearch. Our sites are hosted on Render, Vercel, and Cloudflare, and our analytics data is stored and processed in PostHog. Some potential projects you may work on: - We’re deep in the process of migrating https://gitlab.com/eaforum/eaforum the EA Forum codebase over to Next.js – if you join, you can help us establish the next evolution of key EA community infrastructure, which we hope will set stronger foundations for many years to come. - We’ve recently hired product managers for the EA Opportunities Board https://www.effectivealtruism.org/opportunities and our courses https://www.effectivealtruism.org/courses who will continue driving these projects forwards – some of the changes they’re planning will require engineering. - EA Funds https://funds.effectivealtruism.org/ is now part https://forum.effectivealtruism.org/posts/BLvTcMMEQGFYsh6Jw/ea-funds-and-cea-are-merging of CEA, and has not had dedicated technical capacity in a long time. Their team would be excited to collaborate on how to make their processes more efficient using AI (they already have a long list of ideas!) - In 2026, we’ve massively overhauled our analytics and data infrastructure, and we’d be excited for a data-minded engineer to continue pushing this project forward. Having a strong data foundation will be crucial for CEA’s ability to find product-market-impact fit https://forum.effectivealtruism.org/posts/DyncXLQ2ysb9K9dfR/you-need-user-buy-in-to-scale-your-impact to scale up our products. - CEA is expecting to lean into virtual products in 2027, including running at least one major virtual event. KEY RESPONSIBILITIES Provide engineering support for multiple CEA teams - Implement features and fix issues in our current products to support the work of others on the team. - Proactively collaborate with other CEA teams to understand where you can provide value and fill technical gaps, such as by building internal tooling. - Ship reliable, maintainable production code, and address high-priority bugs when they come up. AI tools can make us faster, but our work still needs to hold up over time. - Ensure that we’re collecting relevant metrics and analytics data, and that it can be used by non-technical members of staff to inform decision-making. - Share our weekly on-call rotation with our Senior Software Engineer, Ollie, triaging incoming requests and responding to urgent issues. IMPROVE ENGINEERING INFRASTRUCTURE - Help maintain and improve infrastructure, monitoring, deployments, and testing. - Identify high-priority DX problems and develop solutions to help the team work more efficiently. - Make justified and cost-effective decisions about what technologies and services we use to build our products. WHAT WE’RE LOOKING FOR We're hiring this role at either the Software Engineer or Senior Software Engineer level. The core expectations below apply to both, with additional expectations for the senior level noted at the end. Core expectations for both levels: - Solid full-stack engineering experience. You can independently build and maintain a product like an online forum (frontend, backend, databases, devops, and 3rd-party integrations). You explain your technical decisions clearly enough that teammates can push back. As a baseline, we expect you to be familiar with TypeScript, React, and Postgres, and that you can pick up our other technologies quickly. You write appropriate tests for new functionality. - Impact focus. You care about real outcomes and not just shipped features. You gather data, evaluate your work, and iterate quickly. You're excited to explore new opportunities to use software to increase CEA’s impact. - Autonomy. You're comfortable being one of two engineers in the organization, and can learn new skills as needed. You’re happy to own the technical-side of a project, working with non-technical product managers to implement ideas end-to-end, including proactively asking for support when necessary. - AI fluency. You’ve used AI coding agents and have developed good judgment about where they help, where they fail, and how to verify their output. You can use them to speed up your work, but never at the expense of code architecture or maintainability. YOUR CANDIDACY WILL BE STRONGER THE MORE YOU ALSO BRING: - Devops. You have experience provisioning servers and databases for sites serving hundreds of thousands of active users. You can mitigate adversarial bot attacks, and set sensible, safe caching rules. - Prioritization. You back-chain from organizational strategy to prioritize work on different products, and can work with product owners to provide realistic and achievable timelines for implementing changes and new features. - Product thinking. You notice particularly good or bad user experiences and reflect on what makes them so, and you can combine these intuitions with targeted analytics data in order to tangibly improve products. To be considered for the Senior level of this role, we require a candidate to meet the following criteria: - Architectural ownership. You have a track record of independently owning the technical direction of a significant project (such as a major refactor or a new product), being clear about the tradeoffs you made and how you will address key risks. - A track record of impact. You have a history of shipping production work that mattered to real users, and can point to specific cases where your work moved real outcomes. - Strategic autonomy. You can take technical ambiguity and turn it into a credible plan, including translating broad goals into quarterly OKRs and contributing to technical direction at the team level. We can imagine being excited about candidates with a wide range of different skills and experience, and encourage you to apply even if you aren't sure that you're fully qualified. OTHER INFORMATION - This is a full-time, remote position. We prefer applicants who are able to work in time zones between US Eastern Time and CET. - We have an office in Oxford, UK, that you would have access to. - Start date: January 2027 or sooner - Reports to: Incoming Head of Digital Product (Joris Pijpers, Chief of Staff, Community Growth in the interim) - Compensation - Software Engineer - US: For this role we offer a base salary of $134,900 and a 10% unconditional 401k contribution. - Senior Software Engineer - US: For the role we offer a base salary of $166,725 and a 10% unconditional 401k contribution. - For candidates outside the US, base salary is converted from USD to your local currency using a fixed exchange rate - Benefits include private health insurance, flexible work hours, a $6,000 annual professional development allowance, a $6,000 mental health support allowance, extended parental leave, ergonomic equipment, 25 days of paid vacation or country-specific time off entitlements, whichever is greater. - This role will involve travel. There are likely 2-4 trips annually to attend team retreats and other events, including international trips. We are committed to fostering a culture of inclusion and encourage individuals with diverse backgrounds and experiences to apply. We especially encourage applications from self-identified women and people of colour who are excited about contributing to our mission. The Centre for Effective Altruism is an equal opportunity employer. If you need assistance or an accommodation due to a disability, or have any other questions about applying, please contact jobs@centreforeffectivealtruism.org or inform the recruiter directly. CEA participates in E-Verify for US employees. We are committed to protecting your data. See our privacy policy https://www.centreforeffectivealtruism.org/privacy for more information. EVALUATION PLAN We expect the interview process to include the following steps, subject to minor changes: - Application - Screening interview - Engineering interview - Pair programming task - Final interviews (2-3) - Reference checks

Location: Mississauga, Ontario Workplace: hybrid At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.   With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.    At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.   Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.     **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.   For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. Position Summary: This role provides senior-level HRIS support, solutions and coverage, ensuring continuity of day-to-day HR systems operations while supporting ongoing HR technology initiatives. The Sr. HRIS Analyst acts as a trusted HRIS partner to HR, Payroll, and IT, stabilizing current core HR technology operations. The role provides support for HR transformation efforts, including business process optimization and system readiness for emerging technologies (e.g., SuccessFactors to Workday). Key Responsibilities: HRIS Operations & Module Support Serve as the primary HRIS partner for core HCM modules (primarily SAP SuccessFactors Employee Central, Compensation, Recruiting, Onboarding, Payroll, Talent modules and Learning technologies). Provide hands-on configuration, troubleshooting, and support across the employee lifecycle. Support HR and Payroll teams with issue resolution, data corrections, and system inquiries. Support planning and launch of annual cycles namely Employee Objective Setting, Compensation Planning, template configuration and mass-change file uploads. Provide guidance and system training to administrators, program owners, and other platform users. System Enhancements, Releases & Integrations Manage and execute system changes including configuration updates, releases, enhancements, and integrations. Support HR system integrations and data feeds using middleware or APIs (e.g., Dell Boomi, SAP CPI, file-based integrations). Partner with IT and vendors to resolve defects, manage incidents, and coordinate fixes. Identify new or under-utilized system capabilities, including embedded AI and automation features, to continually improve functionality and user workflows Data Management, Security & Compliance Perform data migration activities, mass uploads, data mapping, and validation. Maintain Role-Based Permissions (RBP), workflow rules, MDF objects, and foundation objects. Conduct data audits, support compliance activities, and ensure data integrity across systems. Testing & Change Support Lead and execute testing activities including SIT, UAT, regression, and end-to-end testing. Support HR-led initiatives such as compensation planning cycles, reporting changes, and process updates. Document changes, processes, and configuration decisions for continuity and audit readiness. Reporting & Insights Support standard and ad hoc reporting across HRIS platforms. Assist with dashboards, audits, and workforce analytics using SuccessFactors reporting and/or Power BI. Partner with HR stakeholders to translate reporting needs into system solutions. Future-State Readiness Contribute to migration preparation activities such as data cleanup, configuration rationalization, and reporting alignment. Other Duties as Assigned Required Skills & Qualifications: 5-7+ years of senior HRIS experience in large enterprise environments. Bachelor’s degree in HR, Information Systems, Business, or a related field Strong hands-on experience with SAP SuccessFactors, especially Employee Central, including backend. Workday experience (support, reporting, security, migration activities). Experience with REST APIs, HR system integrations, data feeds, and/or middleware. Proven experience supporting HRIS operations during high-volume, business-critical periods. Strong testing, data validation, and troubleshooting skills. Ability to operate independently with minimal ramp-up. Preferred Experience: Experience supporting compensation cycles, payroll, or time & attendance integrations. Experience supporting HR transformations or platform transitions. Experience with Python and web services; ServiceNow HR case management exposure. Master's degree preferred but not required. #LI-TW1 #LI-Hybrid   Corp - D Professional - 3 PointClickCare Benefits & Perks:   Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more!   It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.   When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com    PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. At PointClickCare, base salary is one of the many components that make up our total rewards package. The Canada base salary range for this position is $84,000 - $105,000 + bonus + benefits, non-overtime eligible. Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all Canada locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.

Компания Selecty ищет QA Full stack инженера для банковского проекта — интеграционной шины, бэк системы для передачи данных, агрегирующей данные из внешних и внутренних источников. Задачи: — Разработка и поддержка автотестов на различных фреймворках; — Поиск, локализация и документирование дефектов; участие в тестировании релизов; — Автоматизация сбора, анализа и визуализации статистики по автотестам (TestOps). Требования: — Опыт работы автоматизации на Java от 4-х лет; — Опыт автоматизированного тестирования web-приложений (Java, Selenium, Cucumber) от 3-х лет; — Опыт ручного тестирования от 3-х лет; — Работа с SQL и NoSQL базами данных (написание запросов, проверка данных); — Покрытие новой функциональности автотестами и поддержка существующего набора тестов; — Знание протоколов и форматов данных: HTTP/HTTPS, SOAP, XML (WSDL/XSD), JSON; — Опыт работы с брокерами сообщений (Kafka): публикация/чтение сообщений, проверка событий. Условия: — Оформление по ТК РФ; — ДМС, скидки на фитнес, кино и уроки английского; — Удалённая работа, гибкое начало рабочего дня (по РФ). Дополнительно: — Тестирование 100% web; — В основном backend тестирование; — Соотношение ручного и автоматического тестирования 70% на 30% в пользу ручного; — Гражданство РФ строго.

💡 What you'll work on. • Backend development in Python.

Location: Bucharest Workplace: OnSite LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? ABOUT THE ROLE Millions of people meet UiPath for the first time through a sign-up page, a template or a first automation, and this role owns what happens next. Your job is to find out why people adopt, stick with or drop our products, then build and ship the changes that move those numbers. This is an engineering role first. You'll write production code across our platform, from the first landing page to the moment someone publishes their first automation. You'll also do the product thinking: picking which problem to solve, defining what success looks like, and proving it with data. WHAT YOU'LL DO - Help define the growth metrics the team owns, from sign-up and trial activation through to upgrade. - Study product telemetry and public signals (community forums, social media, video comments) to find where users get stuck and why. - Turn each finding into a testable hypothesis, then build, ship and A/B test the fix yourself. - Work in any part of the codebase that a fix needs, rather than handing it off to another team. - Use AI coding agents as your team, taking ideas from concept to production quickly. - Explain each experiment clearly to engineering, product, design and leadership: why you ran it, what success meant, and what you learned. WHAT YOU BRING - Principal-level engineering experience, with recent hands-on work shipping full-stack production code (TypeScript, React and backend services, or similar). - An AI-native way of building: you use coding agents every day and can describe your workflow in detail. - A track record in growth, activation or funnel work at a product-led company, with metrics you personally moved. - Strong product sense: you find the problem, propose the solution and decide how to measure it, without waiting for a spec. - The ability to move fast with a small footprint. You've delivered real results without a large team behind you. - Clear written and spoken communication, including making a case to senior leaders. NICE TO HAVE - Growth experience at an enterprise product-led company where self-serve users turn into business customers. - Experience optimizing for AI agents as users, such as agent-friendly docs, APIs and discovery. - A public presence: talks, posts, open source or content that developers actually read. - Familiarity with automation, workflow or developer-platform products. WHY THIS ROLE You'll be a founding engineer on a high-visibility team, working directly with senior engineering and product leaders. You'll have the freedom to act as the mini CTO of your own ideas, building on the newest parts of UiPath's agentic automation platform and reshaping how people discover and adopt it. What you ship will show up quickly in the numbers the whole company watches. #LI-MH1 Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.

Location: Bellevue Workplace: OnSite LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? ABOUT THE ROLE Millions of people meet UiPath for the first time through a sign-up page, a template or a first automation, and this role owns what happens next. Your job is to find out why people adopt, stick with or drop our products, then build and ship the changes that move those numbers. This is an engineering role first. You'll write production code across our platform, from the first landing page to the moment someone publishes their first automation. You'll also do the product thinking: picking which problem to solve, defining what success looks like, and proving it with data. WHAT YOU'LL DO - Help define the growth metrics the team owns, from sign-up and trial activation through to upgrade. - Study product telemetry and public signals (community forums, social media, video comments) to find where users get stuck and why. - Turn each finding into a testable hypothesis, then build, ship and A/B test the fix yourself. - Work in any part of the codebase that a fix needs, rather than handing it off to another team. - Use AI coding agents as your team, taking ideas from concept to production quickly. - Explain each experiment clearly to engineering, product, design and leadership: why you ran it, what success meant, and what you learned. WHAT YOU BRING - Principal-level engineering experience, with recent hands-on work shipping full-stack production code (TypeScript, React and backend services, or similar). - An AI-native way of building: you use coding agents every day and can describe your workflow in detail. - A track record in growth, activation or funnel work at a product-led company, with metrics you personally moved. - Strong product sense: you find the problem, propose the solution and decide how to measure it, without waiting for a spec. - The ability to move fast with a small footprint. You've delivered real results without a large team behind you. - Clear written and spoken communication, including making a case to senior leaders. NICE TO HAVE - Growth experience at an enterprise product-led company where self-serve users turn into business customers. - Experience optimizing for AI agents as users, such as agent-friendly docs, APIs and discovery. - A public presence: talks, posts, open source or content that developers actually read. - Familiarity with automation, workflow or developer-platform products. WHY THIS ROLE You'll be a founding engineer on a high-visibility team, working directly with senior engineering and product leaders. You'll have the freedom to act as the mini CTO of your own ideas, building on the newest parts of UiPath's agentic automation platform and reshaping how people discover and adopt it. What you ship will show up quickly in the numbers the whole company watches. #LI-MH1 Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.

• Design, build, and maintain backend services, APIs, and core application logic supporting client-facing platforms.

Location: Bucharest Workplace: OnSite LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? YOUR MISSION As a Principal Software Engineer on the LLM Gateway team, you will set the technical direction of UiPath’s AI Trust Layer: the gateway through which every UiPath product, and every agent our customers build, reaches models from OpenAI, Anthropic, Google and other commercial and open-weight providers. You will lead the architecture of a secure, globally distributed, high-throughput proxy serving text, image, voice and emerging modalities, with intelligent routing, rate limiting and cost controls, running the same way in our public cloud, in government and sovereign clouds, and in customer-hosted deployments. You will own the LLM infrastructure behind it: sourcing and balancing model capacity across vendors, tiers and regions, with data residency guaranteed in every geography. You will also own how customers see and control AI in their organizations: which models their users and automations can access, including the models they bring themselves, under what conditions, and with what policies, data protection and audit trail. You will raise the engineering bar of the team, work closely with product teams, security, legal and our model vendors, and help shape how we build software with AI agents.   WHAT YOU'LL DO AT UIPATH - Lead the architecture and technical direction of complex backend and cloud-native services across the UiPath platform. - Design scalable, secure, reliable, and high-performing distributed systems across cloud, on-premises, and hybrid environments. - Partner with engineering leaders, architects, product managers, and cross-functional teams to shape technical solutions for high-impact product and platform areas. - Drive technical planning and roadmap input for complex services, platform capabilities, or cross-team initiatives. - Identify long-term scalability, reliability, security, performance, and cost challenges, and lead the design of sustainable solutions. - Set high standards for system design, code quality, testing, observability, automation, incident management, and engineering excellence. - Mentor and guide engineers through design reviews, technical discussions, architecture decisions, and hands-on technical feedback. WHAT YOU'LL BRING TO THE TEAM - 7+ years of software engineering experience, with strong backend and cloud development experience. - Hands-on experience with one or more modern programming languages such as C#, Java, Python, or Go. - Strong experience designing and building distributed systems, microservices, APIs, and cloud-native architectures. - Proven ability to influence technical direction and drive architecture decisions across teams. - Experience building and operating production-grade services in cloud environments such as Azure, AWS, or GCP. - Good knowledge of containers, Kubernetes, CI/CD, monitoring, logging, observability, and production operations. - Strong understanding of system design, data structures, algorithms, multithreading, asynchronous programming, and performance optimization. - Experience with relational and/or NoSQL databases, messaging systems, event-driven architectures, or high-scale data processing. - Ability to balance customer experience, reliability, security, scalability, and cloud cost when making technical decisions. - Strong technical leadership, ownership, and communication skills, with the ability to guide teams through ambiguity. - Interest in automation, AI, developer platforms, enterprise software, or large-scale cloud systems is a plus. Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.