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As a Databricks QA Engineer on our data engineering team you will own the quality gate for enterprise data platforms, working directly with customers. Own test strategy and release sign-off on engagements, including documented test plans covering scope, risk, and coverage.

Location: GB - United Kingdom Scopely is looking for a Senior Server Engineer (Performance) to join a new truly unique multiplayer strategy game in Barcelona on a hybrid basis or remotely in the UK, Ireland, Portugal, and the rest of Spain. If you're open to working in any of these locations, there's no need to apply more than once. We'll discuss location preferences during the hiring process. We can support with visa sponsorship from any location. 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 of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. We embrace AI-forward development practices and expect our engineers to be curious and pragmatic about how these tools can raise the bar. We are in the early stages of development on an ambitious, unannounced Strategy/MMO title, creating a team of talented and passionate game makers to join us on this exciting journey! What You Will Do Work in a cross-functional agile team and be responsible for designing, developing, and evolving systems that validate and improve the performance, scalability, and reliability of backend services running on AWS Design and implement performance and reliability strategies for our core backend systems, including defining service-level expectations (latency, throughput, error rates) and validating them under realistic conditions Build frameworks and tooling to simulate real-world production scenarios, including multi-service interactions, high concurrency, and network variability Develop and maintain load, stress, and endurance testing systems, integrated into CI/CD pipelines to detect regressions before production Analyze system behavior using metrics, logs, and distributed tracing , identifying bottlenecks and driving improvements across services Define and drive the adoption of a comprehensive testing strategy across backend services , including unit tests, integration tests (leveraging test containers), and clear guidelines for when and how each layer should be applied Enable a shift-left quality culture by building tooling, patterns, and best practices that allow teams to detect regressions early Collaborate with feature teams to improve system design, resilience, and scalability, acting as a force multiplier across backend engineering Leverage AI tools and agentic workflows in your daily work — from tech planning, code generation and review to exploring novel solutions. What We’re Looking For Highly experienced as a software engineer working on backend systems, distributed systems (operating in the Public Cloud) , or other relevant areas with a strong passion for testing and performance testing Professional experience building and operating highly available, scalable backend systems , such as MMO game servers, high-traffic services, or real-time applications Experience with Python and its ecosystem, including familiarity with asynchronous programming, concurrency, and performance considerations Solid understanding of distributed systems , including: service-to-service communication, including event driven architectures failure modes and resilience patterns stateful vs stateless architectures Experience designing and implementing highly scalable and low-latency systems, including use of Redis, DynamoDB, or similar technologies Strong understanding of API design (REST/gRPC) and ability to write efficient, low-latency code Experience working in cloud environments (AWS) and familiarity with containerized deployments (Docker) Familiarity with CI/CD pipelines, automated testing, and infrastructure automation Experience using observability tools (Datadog, logs, tracing) to analyze and debug system behavior Hands-on experience working with AI-assisted development tools (e.g. GitHub Copilot, Codex, Claude Code) and an understanding of how agentic workflows can augment engineering productivity. Bonus Points Experience with load testing frameworks like K6, Locust Understanding of SRE concepts like: SLA, SLO, error budgets Experience with load testing messaging systems such as NATS; Experience with relational databases likeMySQL. Familiarity with Infrastructure-as-Code (preferred Terraform) for managing infrastructure deployment Understanding of network infrastructure and cloud networking concepts, such as VPC, Subnet, Security Groups, and Load Balancing Understanding modern observability stacks like  Kibana / Datadog to perform log querying and dashboards 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.

Location: ES - Barcelona, Spain Scopely is looking for a Senior Server Engineer (Performance) to join a new truly unique multiplayer strategy game in Barcelona on a hybrid basis or remotely in the UK, Ireland, Portugal, and the rest of Spain. If you're open to working in any of these locations, there's no need to apply more than once. We'll discuss location preferences during the hiring process. We can support with visa sponsorship from any location. 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 of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. We embrace AI-forward development practices and expect our engineers to be curious and pragmatic about how these tools can raise the bar. We are in the early stages of development on an ambitious, unannounced Strategy/MMO title, creating a team of talented and passionate game makers to join us on this exciting journey! What You Will Do Work in a cross-functional agile team and be responsible for designing, developing, and evolving systems that validate and improve the performance, scalability, and reliability of backend services running on AWS Design and implement performance and reliability strategies for our core backend systems, including defining service-level expectations (latency, throughput, error rates) and validating them under realistic conditions Build frameworks and tooling to simulate real-world production scenarios, including multi-service interactions, high concurrency, and network variability Develop and maintain load, stress, and endurance testing systems, integrated into CI/CD pipelines to detect regressions before production Analyze system behavior using metrics, logs, and distributed tracing , identifying bottlenecks and driving improvements across services Define and drive the adoption of a comprehensive testing strategy across backend services , including unit tests, integration tests (leveraging test containers), and clear guidelines for when and how each layer should be applied Enable a shift-left quality culture by building tooling, patterns, and best practices that allow teams to detect regressions early Collaborate with feature teams to improve system design, resilience, and scalability, acting as a force multiplier across backend engineering Leverage AI tools and agentic workflows in your daily work — from tech planning, code generation and review to exploring novel solutions. What We’re Looking For Highly experienced as a software engineer working on backend systems, distributed systems (operating in the Public Cloud) , or other relevant areas with a strong passion for testing and performance testing Professional experience building and operating highly available, scalable backend systems , such as MMO game servers, high-traffic services, or real-time applications Experience with Python and its ecosystem, including familiarity with asynchronous programming, concurrency, and performance considerations Solid understanding of distributed systems , including: service-to-service communication, including event driven architectures failure modes and resilience patterns stateful vs stateless architectures Experience designing and implementing highly scalable and low-latency systems, including use of Redis, DynamoDB, or similar technologies Strong understanding of API design (REST/gRPC) and ability to write efficient, low-latency code Experience working in cloud environments (AWS) and familiarity with containerized deployments (Docker) Familiarity with CI/CD pipelines, automated testing, and infrastructure automation Experience using observability tools (Datadog, logs, tracing) to analyze and debug system behavior Hands-on experience working with AI-assisted development tools (e.g. GitHub Copilot, Codex, Claude Code) and an understanding of how agentic workflows can augment engineering productivity. Bonus Points Experience with load testing frameworks like K6, Locust Understanding of SRE concepts like: SLA, SLO, error budgets Experience with load testing messaging systems such as NATS; Experience with relational databases likeMySQL. Familiarity with Infrastructure-as-Code (preferred Terraform) for managing infrastructure deployment Understanding of network infrastructure and cloud networking concepts, such as VPC, Subnet, Security Groups, and Load Balancing Understanding modern observability stacks like  Kibana / Datadog to perform log querying and dashboards 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.

Location: IE - Ireland Scopely is looking for a Senior Server Engineer (Performance) to join a new truly unique multiplayer strategy game in Barcelona on a hybrid basis or remotely in the UK, Ireland, Portugal, and the rest of Spain. If you're open to working in any of these locations, there's no need to apply more than once. We'll discuss location preferences during the hiring process. We can support with visa sponsorship from any location. 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 of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. We embrace AI-forward development practices and expect our engineers to be curious and pragmatic about how these tools can raise the bar. We are in the early stages of development on an ambitious, unannounced Strategy/MMO title, creating a team of talented and passionate game makers to join us on this exciting journey! What You Will Do Work in a cross-functional agile team and be responsible for designing, developing, and evolving systems that validate and improve the performance, scalability, and reliability of backend services running on AWS Design and implement performance and reliability strategies for our core backend systems, including defining service-level expectations (latency, throughput, error rates) and validating them under realistic conditions Build frameworks and tooling to simulate real-world production scenarios, including multi-service interactions, high concurrency, and network variability Develop and maintain load, stress, and endurance testing systems, integrated into CI/CD pipelines to detect regressions before production Analyze system behavior using metrics, logs, and distributed tracing , identifying bottlenecks and driving improvements across services Define and drive the adoption of a comprehensive testing strategy across backend services , including unit tests, integration tests (leveraging test containers), and clear guidelines for when and how each layer should be applied Enable a shift-left quality culture by building tooling, patterns, and best practices that allow teams to detect regressions early Collaborate with feature teams to improve system design, resilience, and scalability, acting as a force multiplier across backend engineering Leverage AI tools and agentic workflows in your daily work — from tech planning, code generation and review to exploring novel solutions. What We’re Looking For Highly experienced as a software engineer working on backend systems, distributed systems (operating in the Public Cloud) , or other relevant areas with a strong passion for testing and performance testing Professional experience building and operating highly available, scalable backend systems , such as MMO game servers, high-traffic services, or real-time applications Experience with Python and its ecosystem, including familiarity with asynchronous programming, concurrency, and performance considerations Solid understanding of distributed systems , including: service-to-service communication, including event driven architectures failure modes and resilience patterns stateful vs stateless architectures Experience designing and implementing highly scalable and low-latency systems, including use of Redis, DynamoDB, or similar technologies Strong understanding of API design (REST/gRPC) and ability to write efficient, low-latency code Experience working in cloud environments (AWS) and familiarity with containerized deployments (Docker) Familiarity with CI/CD pipelines, automated testing, and infrastructure automation Experience using observability tools (Datadog, logs, tracing) to analyze and debug system behavior Hands-on experience working with AI-assisted development tools (e.g. GitHub Copilot, Codex, Claude Code) and an understanding of how agentic workflows can augment engineering productivity. Bonus Points Experience with load testing frameworks like K6, Locust Understanding of SRE concepts like: SLA, SLO, error budgets Experience with load testing messaging systems such as NATS; Experience with relational databases likeMySQL. Familiarity with Infrastructure-as-Code (preferred Terraform) for managing infrastructure deployment Understanding of network infrastructure and cloud networking concepts, such as VPC, Subnet, Security Groups, and Load Balancing Understanding modern observability stacks like  Kibana / Datadog to perform log querying and dashboards 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.

Location: Remote, Canada GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Backend Engineer on the Gitaly team, you’ll help build GitLab’s Git data storage tier, a standalone product that provides reliable, secure, and fast access to Git repositories through application programming interfaces (APIs) and storage operations. You’ll work at the boundary between GitLab and Git to make repository access performant and dependable for GitLab.com , self-managed customers, and GitLab Dedicated. Our work spans distributed storage, repository management, high availability, performance, observability, and operational excellence. We’re currently building the next generation of source code management (SCM), including new approaches to scaling Git storage and improving how repository data is managed and served. You’ll balance roadmap delivery, technical improvements, customer and reliability work, and operational support. We value pragmatic engineering, thoughtful trade-offs, continuous improvement, and sustainable ways of working while operating a service that’s critical to GitLab. Learn more on the Gitaly Team Page . What you’ll do Own moderately sized to complex technical initiatives from problem definition and proposal through implementation, rollout, monitoring, and operational follow-through. Act as the directly responsible individual for projects by aligning stakeholders, communicating progress and trade-offs, identifying risks, and keeping execution moving with minimal guidance. Lead technical design for distributed storage, Git repository management, performance, reliability, and scalability problems, using data and benchmarking to guide decisions. Partner with engineers and teams across GitLab, including Git, Infrastructure, Site Reliability Engineering, Dedicated, and customer-facing teams, to deliver cross-functional outcomes. Improve engineering practices through mentoring, documentation, knowledge sharing, design reviews, and constructive code reviews. Take operational ownership of the systems you work on, including incident response, post-incident improvements, capacity and performance analysis, and customer escalations. Identify opportunities to improve work beyond an individual change through automation, reusable designs, better dashboards, upstream contributions, and improvements to development and testing workflows. Respond to user emergencies, platform alerts, and support requests, including regular on-call duties. Take part in on-call or operational support where your team’s ownership model requires it. What you’ll bring Significant professional experience building, debugging, and optimizing distributed or highly available software systems in large-scale production environments. Experience owning complex projects end to end, including technical design, execution, rollout, and operational support. Strong systems design skills and the ability to reason about performance, failure modes, consistency, concurrency, capacity, and observability. A track record of influencing technical decisions and working effectively with stakeholders across teams and disciplines. Experience mentoring engineers, improving team practices, and raising the quality of designs, code, testing, and documentation. Strong written and verbal communication skills, including the ability to explain complex technical concepts and make trade-offs clear. Professional experience with Go or another backend or systems language. Experience operating production systems, participating in incident response, and turning operational learnings into durable improvements. Experience with Ruby, Git internals, gRPC, or Git server infrastructure is highly desirable. About the team The Gitaly team includes Backend Engineers who share ownership of the product’s design, implementation, reliability, and customer outcomes. We work autonomously while collaborating closely through design discussions, code reviews, incident response, documentation, and asynchronous communication. Engineers are encouraged to take ownership as directly responsible individuals, seek input early, make decisions transparently, and share knowledge across the team. Learn more on the Gitaly Team Page . How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Manila, Philippines About Advantage HQ Advantage HQ is building the next generation of creator-led growth infrastructure for consumer brands. We combine creative strategy, creator partnerships, performance content, whitelisting, affiliate distribution, paid media, and proprietary technology into one integrated growth system. Our team manages more than $850 million in annual media spend and works with a network of more than 400,000 creators across Meta, TikTok, and YouTube. Through Meteoric AI, our proprietary intelligence platform, we use data and AI to improve decision-making across creative production, creator selection, customer acquisition, campaign performance, and brand growth. We work with ambitious consumer brands across health, wellness, beauty, nutrition, personal care, and lifestyle. The Opportunity We are looking for a hands-on AI Engineer to bring AI into how Advantage HQ operates, across every team and every core process. As we scale, our teams spend a large share of their time on manual work: gathering data, building reports, writing briefs, moving information between tools, and repeating the same steps across clients. We see a large opportunity to use AI to remove that work, speed up decisions, and help every team do more with the same headcount. Your mission is to design and build the AI systems, internal tools, sites, and dashboards that make our company faster, more efficient, and more data-driven. You will own this work end to end: mapping how teams work today, identifying where AI and automation can make the biggest difference, building the solution, rolling it out, and making sure people use it. This is not a research role or a prompt-writing role. We are looking for an engineer who writes production code, understands how to apply LLMs to real business processes, and knows how to build tools that people rely on every day. You will work closely with leadership and with our Growth, Creative, Media Buying, Client Services, Finance, People, and Technology teams to find the highest-value problems and solve them with AI. Success means AI is built into how Advantage HQ works: core processes are automated, teams have the tools and dashboards they need, and the business runs measurably faster and more efficiently. What You'll Own AI Strategy & Process Transformation Map current workflows across departments and identify where AI and automation can save time, reduce errors, or improve decisions. Build and maintain a prioritized roadmap of AI opportunities based on business impact and effort. Redesign processes around AI, not only add AI to existing steps, working with team leads to agree on the new way of working. Recommend which problems need custom builds and which are better solved with existing AI tools and platforms. Track and report the impact of each initiative to leadership in terms of time saved, cost, and quality. Stay current with new models, tools, and techniques, and assess which ones are ready for use across the company. AI Systems, Agents & Automation Build AI agents and multi-step workflows that automate research, briefing, reporting, analysis, and operational tasks. Develop LLM-powered applications with Claude as our primary model, using other providers where they fit better. Automate repetitive work between tools, such as data entry, status updates, client reporting, onboarding steps, and approvals. Build AI assistants that help teams draft, summarize, review, and answer questions using company knowledge. Write, test, and version prompts, tool definitions, and structured outputs as part of the codebase. Add human review steps where accuracy matters, so automation stays reliable. Internal Tools, Sites & Dashboards Design and build internal web apps, portals, and sites that give teams one place to access the tools and information they need. Build dashboards that give leadership and teams real-time visibility into performance, operations, and key business metrics. Connect dashboards to live data sources so reporting is automatic rather than built by hand. Create AI-powered features within internal tools, such as natural-language search, automated insights, and summaries. Build tools quickly using a mix of custom code and low-code platforms, choosing whichever fits the problem best. Maintain and improve internal tools based on user feedback and changing business needs. Data, Integrations & Knowledge Systems Integrate the systems we use every day, including Google Workspace, Slack, project management tools, CRM, HR systems, and advertising platforms. Build data pipelines that collect, clean, and structure data from internal and external sources. Build retrieval-augmented generation (RAG) systems over SOPs, playbooks, client information, and internal knowledge so teams can find answers instantly. Organize company knowledge so it is accurate, current, and usable by both people and AI systems. Work with team leads to define data standards and keep data clean across systems. Connect with the Technology team on Meteoric AI where internal tools and our proprietary platform overlap. Quality, Security & Reliability Build evaluation checks that measure the accuracy and usefulness of AI outputs before and after changes. Monitor AI systems and automations for errors, failures, and drift, and fix issues quickly. Ensure company and client data is handled securely, with the right access controls and data privacy practices. Set up logging and monitoring so every system can be traced and debugged. Monitor and manage the cost of AI tools, APIs, and infrastructure. Document every system clearly so it can be maintained, handed over, and improved. Adoption, Enablement & Collaboration Work closely with each team to understand their workflows, pain points, and goals before building. Roll out new tools with clear guides, demos, and training so people use them. Help teams use Claude effectively in their daily work, including setting up shared Projects, Skills, and connectors for each team. Collect feedback, track usage, and improve tools that are not getting adopted. Explain technical trade-offs and results clearly to non-technical teammates and leadership. Help build a culture where every team looks for ways to work smarter with AI. Who You Are You are an experienced engineer who uses AI to change how businesses operate, not only to build demos. You have hands-on experience building AI systems, automations, and internal tools that teams rely on, and you understand the full process, from mapping a workflow and choosing an approach to building, rolling out, and measuring the result. You know that a tool nobody uses has no value. You measure your work by hours saved, processes improved, and how many people use what you build. You are pragmatic about technology. You pick the simplest approach that solves the problem, whether that is an off-the-shelf tool, a low-code automation, a dashboard, an AI agent, or a custom application. You are also a builder. You can take an unclear problem, define the scope, ship a first version quickly, and improve it based on feedback and data. You are comfortable working with people from every department, understanding how they work, and explaining technical decisions in plain language. Most importantly, you are highly accountable, proactive, analytical, and comfortable taking ownership of the systems you build. Experience We Value 4+ years of professional software engineering experience, including 2+ years building AI, automation, or internal tooling in production. Strong proficiency in Python and TypeScript or JavaScript. Strong hands-on experience with Claude, including the Claude API, Claude Code, Projects, Skills, and connecting Claude to business tools through the Model Context Protocol (MCP). Experience with other LLM providers such as OpenAI or Google Gemini, and knowing when each model is the right fit. Experience building AI agents, tool use, function calling, and multi-step workflows. Experience with workflow automation platforms such as n8n, Make, or Zapier. Experience integrating business tools through APIs and webhooks, including Google Workspace, Slack, CRM, and project management tools. Solid SQL skills and experience with databases, data pipelines, and data warehouses. Experience leading AI adoption or process improvement inside a company is a strong plus. Excellent communication skills and the ability to work directly with non-technical stakeholders. Entrepreneurial mindset with a strong bias toward execution, ownership, and measurable results. What Success Looks Like Your performance will be measured primarily by how much AI improves the way Advantage HQ operates. Key metrics include: Processes Automated: Number of core business processes automated or redesigned with AI. Time Saved: Hours of manual work removed each month across teams. Tool Adoption: Active, regular use of AI systems, internal tools, and dashboards by each team. Delivery: Number and quality of AI systems, sites, and dashboards shipped on schedule. Reporting Coverage: Share of key business metrics available in automated, real-time dashboards. Process Speed: Reduction in turnaround time for key workflows such as reporting, briefing, and onboarding. Output Quality: Accuracy and usefulness of AI outputs, measured against defined checks. System Reliability: Uptime and error rates of AI systems and automations. Cost Efficiency: Cost of AI tools and infrastructure relative to the time and money they save. Stakeholder Satisfaction: Feedback from the teams who rely on the tools you build. Why Join Advantage HQ This is an opportunity to lead how AI is put to work inside a rapidly scaling creator-led growth business. You will have the autonomy to decide which processes to transform, choose the right tools and architectures, and see your work used every day by every team in the company. You will work alongside experienced Growth, Creative, Media Buying, Client Services, and Technology teams, with direct access to leadership and the support to make real changes to how we work. We are looking for someone who wants to make a real operational difference, grow with a fast-moving team, and take ownership of systems with company-wide impact. Compensation & Location $24,000 - $48,000 USD total annual compensation, including base salary, performance bonus, and equity. Fully remote. We have built the infrastructure for high-performance distributed teams and trust our people to do their best work from wherever they work best. Compensation will be based on experience, technical depth, and the scope of the role. If you are excited to build AI systems, internal tools, and dashboards that change how a company works, and to put AI at the center of every team and process, we would love to hear from you.

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 Senior Forward Deployed Engineer, you will own the delivery of scoped customer implementations and help turn real-world business needs into production-grade agentic automation solutions. You’ll partner closely with customer stakeholders and internal teams to design, build, integrate, and iterate on AI-enabled workflows, balancing speed, reliability, and maintainability. You’ll contribute practical field insights back to the organization, helping refine solution patterns, reusable assets, and implementation playbooks. Unlike traditional software engineers who build a single product for many customers, FDEs ship tailored solutions directly in customer environments, making the platform real for specific business processes and systems. You’ll operate with increasing independence, drive execution on well-defined workstreams, and collaborate with senior FDEs and product teams to align with broader technical direction.   WHAT YOU'LL DO AT UIPATH - Design and build AI-driven workflows, agents, and automations, aligned with UiPath's architecture and platform standards without requiring regular guidance. - Build AI Agents using UiPath technologies, including Maestro or Agent Builder - Apply practical prompt engineering skills to reliably guide agent behavior and understand model tradeoffs (capability, latency, cost) when selecting LLM providers for customer use cases. - Extend platform functionality using APIs, SDKs, and connectors to address unique customer requirements. - Debug across systems including AI inference, data pipelines, orchestration layers, and integration points, resolving most issues independently. - Contribute to internal libraries, reusable components, or frameworks that enhance consistency across customer deployments. - Anticipate delivery risks and communicate blockers, delays, and scope issues proactively to teammates and stakeholders. - Use telemetry, insights, and traces to identify optimization opportunities and failure patterns independently.   WHAT YOU'LL BRING TO THE TEAM - 5+ years of professional software engineering experience (or equivalent) delivering production software. - Strong programming skills in Python and/or TypeScript (or similar modern languages). - Experience building and shipping integrations using APIs and working with cloud services or enterprise systems. - Comfort operating in customer-facing environments with strong written and verbal communication. - Ability to independently drive scoped projects, manage risks, and deliver against deadlines. - Willingness to travel to customer sites as needed.   OUR CORE PRINCIPLES - Customer Centric: Stay close to customer users and stakeholders; anchor decisions in outcomes, adoption, and long-term success. - Breaking Silos: Collaborate across Engineering, Product, Customer Success, and customer teams to unblock delivery and align on the right solution. - Improving Agility: Prototype, test, ship, observe, and iterate—treat deployments and feedback loops as the fastest way to learn. - Dealing with Ambiguity: Make progress with incomplete information; clarify requirements through discovery, iteration, and pragmatic tradeoffs. - Building Focus: Prioritize the highest-impact workstreams, manage scope actively, and deliver durable solutions that customers can run and evolve. 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: Warsaw, PL We bring startups and disruptive tech companies to the local market, offering engineers the opportunity to work on innovative, high-impact products. Join us and become a member of their R&D team while we take care of employment, HR support, a benefits package, and an enjoyable work environment. Handle (formerly 44pixels) is a London-based, VC-backed startup founded in 2024. We started as a venture studio building AI-first mobile apps, including Cue, Wordcast and Clara, and now focus on one product: Handle. ‍ Handle is an AI agent for owners of local service businesses: groomers, roofers, bookkeepers, caterers and many more. Owners chat with it, and it handles routine work such as replying to customer messages, chasing invoices and answering reviews. It connects to the tools they already use, including Gmail, Outlook, Google Calendar, WhatsApp, Messenger, QuickBooks and Xero. The owner decides what Handle can access and what needs their approval. This isn't a frontier research role. You won't need a GPU cluster, and we're not optimising for papers or leaderboards. You don't need a PhD. ‍ You'll be the first person on our team whose whole job is how good our agent is. Owners trust Handle with their customers and their business, so good means more than finishing the task. It means getting the details right, understanding what the customer needs, and knowing when to ask the owner first. You'll build the evals that measure that, and run the loop that makes it better. ‍ Our engineers have laid the groundwork for evals and own the harness, tracing and deployment they run on. You'll take the evals over and own them from here. ‍ You need to love finding out why an agent did the wrong thing, and proving your fix worked. Build and own our eval suite: scenarios, rubrics, graders, benchmarks, and the quality gates every change has to pass. Run the hill-climb loop on the agent's skills. Find where it goes wrong, form a hypothesis, change the skill or prompt, rerun the suite, and prove the fix worked without breaking something else. Judge conversation quality as well as task success: whether the agent understood the customer, said the right thing, and helped. Test new models as they come out, and separate what the model changed from what the prompts, tools and skills changed. Spot repeated failures that local fixes won't solve, and make the case for restructuring a skill or the agent. Build our view on fine-tuning: when it's worth it, what data it would need, and whether a better skill or model gets there first. First month: take over the existing evals, learn the agent's main workflows, and set a baseline scorecard. By month two: the hill-climb loop is running, every skill change goes through a regression gate, and the first improvements have shipped and been verified. By month three: a repeatable way to compare models, a ranked backlog of improvements, and a short written view on whether fine-tuning is worth exploring. You've built and run evals for an LLM product in production. You've written graders, checked an LLM judge against human ratings, and caught a regression before users did. You've worked on multi-step, tool-using agents, and you know how they fail. You write the code yourself, from graders and harness code to experiments, and you read traces without waiting on anyone. You're disciplined about experiments. You run things more than once, account for variance, and can tell a real gain from noise. You have taste in conversation. You can read a transcript and say what was wrong with it, even when the task got done. You're comfortable setting your own agenda. As the first person in this area, you'll decide what to measure first. You work comfortably in English, which is the language of our team. Hands-on post-training or fine-tuning of open-weight models. At On The Spot, we’re creating a workplace people would want to stay in: supportive, well-organized, and fair in terms of conditions and benefits. ‍ We’ll share more about our benefit package during the interviews. In the meantime, you can always check our Glassdoor reviews .

Location: London Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. Brand & Creative at Checkout.com http://Checkout.com We’re determined to build the best FinTech brand in the world. To do this, we’ve built a Brand & Creative team that is a collaborative group of problem-solvers who partner with people across the business on a wide range of activities. From brand identity, product marketing, and performance campaigns to physical brand environments, responsive web experiences, and bespoke pitches. We’ve built retro games, out-of-home campaigns across Europe and the US, created immersive event experiences, and TV ads that introduce the invisible engine powering payments for the world’s biggest brands. And we’re just getting started. About the Brand & Creative team We’re a diverse team of creative thinkers with a strong culture of experimentation and collaboration at its heart. And we love the work we do. Our Creative Operations team helps make sure we’re on the right work at the right time. We partner closely and cross-functionally with Product Design, and hold regular Design Town Halls where we align and cross-pollinate to cultivate our shared vision for design at Checkout. We work closely with partner agencies to realize our vision. We champion our brand attributes, design principles, systems, and standards that support us in creating world-class work with our colleagues and partners. We work alongside sharp Marketeers who help drive our brand awareness across the world, and are the ultimate guardians of the Checkout.com http://Checkout.com brand. What does a Brand Manager do at Checkout.com http://Checkout.com? Brand Managers at Checkout own our biggest brand moments – from global advertising campaigns and our flagship Peak Season campaign, to the brand-focused initiatives that define how the world sees us. You’ll also be the connective tissue between Checkout.com http://Checkout.com and our audiences. Working across B2B and B2C campaigns, you’ll lead on everything from goal-setting through to launch and measurement, orchestrating the many moving parts that bring an idea to life across markets and channels. You’ll set clear objectives, plan distribution, coordinate with channel owners, and partner closely with our creatives to make sure every campaign lands with impact. Brand Managers are highly organised, exceptional communicators, and comfortable holding the whole picture – the timeline, the stakeholders, the budget, and the creative ambition – all at once. What we're looking for: - Proven experience planning and delivering integrated brand campaigns end to end, ideally with a mix of B2B and B2C, working alongside creatives, copywriters, media and channel owners to bring big ideas to life. - Confidence setting clear campaign goals and KPIs, measuring performance against them, and using the results to sharpen the next moment. - Organisational excellence – you can juggle multiple work-streams, timelines, stakeholders and budgets at once without dropping a detail. - Strong communication skills, with the ability to align cross-functional teams, brief creatives clearly, and keep everyone moving in the same direction - Experience planning distribution and coordinating across channels – from out-of-home and paid media to owned and partner channels – to maximise reach and efficiency - You think holistically about the campaign – the audience, the message, the channel mix, and the moment it lands in. - You’re comfortable interfacing with partner brands and merchants, gaining their buy-in and supporting co-marketing activities that benefit everyone involved. - A close collaborator with creative teams, and a guardian of our brand, with a great understanding of how we show up across channels and communications - You are skilled in articulating your work, the process, and decisions to cross-functional stakeholders and you’re proactive in getting constructive feedback to help you produce your best work - A drive to deliver exceptional work and always iterate for better solution About you: - You care deeply about your work, and strive to deliver the best quality output possible. You welcome constructive criticism - You're not an island. You can show and tell us how you've helped the people around you get better, or brought in others’ support from inside or outside the team to get something done - You think in systems. You can anticipate the ripple effects small and large changes will have on the brand experience - You highly prize being accountable. You take ownership for every action, share faults and failures, strive for better, and build trust - You're self motivated and can work independently - You love learning. You might not have experience for everything this role requires, but you're excited to grow and learn – sometimes 'wearing many hats' in a team Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: USA Workplace: Remote Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. We are looking for a Senior Data Engineer to build the four source connectors and ingestion pipeline that turns raw knowledge content into a governed, permission-tagged corpus in S3 and Amazon Bedrock Knowledge Bases. You’ll own the ingestion workstream end to end inside an architecture set by the Solution Architect, working paired with the retrieval engineer so no deliverable sits with one person. The mission: get every in-scope item from four source systems into the index with its metadata, permissions, and lineage intact — on a sync schedule the client can tune, with retirement propagating on the next run. WHAT YOU’LL DO - Build the iKNOW connector against Oracle B2C Service knowledge APIs — full inventory extract, then incremental sync by modified date with article status and answer version captured. - Build SharePoint, OneDrive, and Teams connectors on Microsoft Graph — site and drive enumeration, delta queries for incremental change, and capture of sharing and group membership as permission metadata on every item. - Build the Sitecore connector against its content APIs for public web content in scope. - Implement the ingestion pipeline — landing in S3 with per-source prefix convention, document conversion and text extraction, deduplication by content hash, metadata enrichment from taxonomy, and Bedrock Knowledge Base data source sync with chunking parameters set by the architect. - Produce inventory extracts for content disposition reviews and counts that feed the end-of-Phase-1 re-baselining. - Implement retirement handling — items marked retired or deleted at source are removed from the index on the next sync. - Handle throttling and backoff for Oracle and Microsoft APIs, idempotent re-runs, and failure isolation per source so one connector’s outage does not stall the others. - Instrument every pipeline stage with CloudWatch metrics and write the ingestion runbooks. - Pair with client IT during weeks 7–10 so they can run, re-run, and extend the pipelines after transition. REQUIRED SKILLS & EXPERIENCE - 4+ years building data pipelines in production, at least 2 of them on AWS with Python. - Hands-on with Microsoft Graph API for SharePoint and Teams content — delta queries, permissions, and throttling — or equivalent enterprise content platform experience. - Experience landing unstructured content (HTML, Office documents, PDF, chat transcripts) into S3 and preparing it for search or vector indexing. - Working knowledge of Amazon Bedrock Knowledge Bases data sources and sync behavior, or a comparable vector ingestion path on OpenSearch. - Infrastructure-as-code experience with Terraform or AWS CDK and CI for pipeline deployment into a client-owned account. - Comfortable working from a shared backlog in client repositories with documentation written as the work is done. PREFERRED QUALIFICATIONS - AWS Certified Data Engineer Associate. - Prior integration with Oracle B2C Service or another Oracle Service Cloud product. - Prior integration with Sitecore XM or XP content APIs. - Experience with AWS Glue, Step Functions, or EventBridge for orchestration, and with document parsing libraries for Office and PDF formats. When you join Solvd, you'll… - Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. - Be part of a global team with equal opportunities for collaboration across continents and cultures. - Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. Ready to make an impact? If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together. Solvd is an equal opportunity employer.

Location: USA Workplace: Remote Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. We are looking for a Senior AI Quality & Evaluation Engineer to own the independent proof that retrieval works and that permissions hold. You’ll build and run the golden question suite, negative entitlement tests, and drift alarms that serve as acceptance gates — so the engineers who built the system are not grading their own work. This is a 50% allocation role across weeks 3–10, drawn from a Quality Engineering or GRC background, reporting to the POD Lead and working day-to-day with the retrieval engineer. WHAT YOU’LL DO - Build the golden question suite from top contact drivers and needs workshops — question, expected source, expected passage, and acceptance thresholds for relevance, grounding, and citation accuracy, versioned alongside the content it tests. - Build the negative entitlement test set — queries issued under unentitled identities that must return no restricted passage, with any failure raised as a severity-one alarm. - Build freshness and retirement tests — source-modified-to-index-available lag per item against the agreed threshold, and verification that retired items disappear on the next sync. - Automate the harness to run on schedule and after every content, configuration, or model change — publishing scores to the quality dashboard with trend lines and regression alarms. - Define the QA gate content analysts apply to remediated content. - Run the suite before every pilot change in weeks 7–9 and report misses with root cause — content, chunking, ranking, or permissions — to the right owner. - Write the evaluation runbook and train client stewards and platform owners to add questions, re-run the suite, and interpret regressions. REQUIRED SKILLS & EXPERIENCE - 3+ years in software quality engineering or test automation with Python, including building test harnesses that run in CI on a schedule. - Hands-on evaluation of a search or RAG system in production — writing ground truth sets, scoring relevance and grounding, and tracking drift over time. - Experience designing security-focused negative tests — authorization, entitlement, data exposure — and reporting them at the severity a client security team expects. - Ability to work in AWS — invoking Bedrock and OpenSearch APIs, reading CloudWatch, deploying a scheduled job with infrastructure code. - Clear written reporting; the suite’s output is read by client stewards, not only engineers. PREFERRED QUALIFICATIONS - AWS Certified AI Practitioner or Machine Learning Engineer Associate. - Experience with RAG evaluation libraries and LLM-as-judge scoring with human calibration. - Contact center or knowledge management domain exposure. - Familiarity with SOC 2 or ISO 27001 evidence practices. When you join Solvd, you'll… - Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. - Be part of a global team with equal opportunities for collaboration across continents and cultures. - Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. Ready to make an impact? If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together. Solvd is an equal opportunity employer.

Location: USA Workplace: Remote Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. We are looking for a Solution Architect to own the technical design and outcome of an AWS-native retrieval platform engagement — architecture, security design, API contract, cost model, and technical risk. You’ll produce a design a client’s IT and Security teams approve, defend it through kickoff and delivery, and serve as the escalation point for engineers through hypercare. This is a principal-level role. You make decisions the engineers execute without relitigating them, and you defend those decisions to client IT, Security, and the Agent Assist provider. WHAT YOU’LL DO - Produce the target architecture for Amazon Bedrock Knowledge Bases with OpenSearch Serverless as the vector store, S3 as the landing zone, and the retrieval API on API Gateway and Lambda — and get it approved by client IT and Security by end of week 2. - Define the security design: IAM roles and least privilege for every pipeline and API component, encryption at rest and in transit, VPC and endpoint posture, secrets handling for external credentials, and an entitlement-aware permission model for retrieval. - Own the retrieval API contract and Integration Blueprint the Agent Assist provider builds against — request and response schema, versioning policy, authentication, rate limits, error semantics, and citation payload. - Decide and document the chunking, embedding model, hybrid search, and metadata filtering strategy including the cost model for OpenSearch Serverless minimum capacity, embedding on ingest, and re-embedding on model change. - Run the end-of-Phase-1 re-baselining checkpoint from the technical side — validate inventoried content volumes against the design and flag any change control triggers. - Cross-review the Knowledge Management Lead’s taxonomy and metadata model to ensure what stewards tag is what the index can filter on. - Author the operations design — CloudWatch metrics and alarms for connector sync health, ingestion failures, API latency, error rate, OpenSearch capacity, and retrieval quality regressions; review every runbook before handover. - Lead the transition readiness review in weeks 9–10 and sign the readiness checklist jointly with the client. REQUIRED SKILLS & EXPERIENCE - 10+ years in software or cloud engineering, including 5+ years designing production systems on AWS and at least two complete generative AI or search retrieval deliveries on Amazon Bedrock or Amazon OpenSearch. - Hands-on with Bedrock Knowledge Bases data sources and sync, OpenSearch Serverless vector collections, API Gateway, Lambda, IAM policy authoring, KMS, and CloudWatch. - Experience designing permission-aware retrieval over Microsoft 365 content — SharePoint and Teams via Microsoft Graph with Entra app registration — or an equivalent enterprise content platform. - A track record of writing architecture and API documents that a client’s security team approved on first or second review. - Experience as the named technical lead on a fixed-fee or fixed-scope engagement of 8–16 weeks. - Able to present to CIO or VP-level audiences and to interview with the client before kickoff. PREFERRED QUALIFICATIONS - AWS Certified Solutions Architect Professional and AWS Certified Generative AI Developer Professional. - Prior work with Oracle B2C Service (RightNow) knowledge APIs or Sitecore content APIs. - Experience with contact center Agent Assist integrations from any major provider. - Familiarity with SOC 2 or ISO 27001 control language. When you join Solvd, you'll… - Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. - Be part of a global team with equal opportunities for collaboration across continents and cultures. - Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. Ready to make an impact? If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together. Solvd is an equal opportunity employer.

Location: Minsk; Tbilisi Workplace: hybrid National Retail Solutions (NRS), a wholly owned subsidiary of IDT Corporation, helps independent retailers compete with large chains and online merchants. Our point-of-sale systems, store management tools, consumer ordering apps, web storefronts, and loyalty programs serve nearly 40,000 stores across the United States. We are fundamentally modernizing our AWS platform: infrastructure as code throughout, elastic capacity, strong security controls, comprehensive observability, and automated, controlled delivery. Join our talented team of DevOps engineers to shape the architecture, establish engineering standards, and drive incremental migrations while keeping production fully reliable. An AI-first mindset and strong software engineering ability are essential. You are comfortable diving into unfamiliar repositories and following problems across application code, infrastructure, and production behavior. We are looking for a high-performing engineer who sets a high bar, takes initiative, and sees difficult problems through. You uncover weaknesses, deliver measurable improvements, and take pride in building systems others can depend on. You hold yourself accountable for how your work performs in production. What You Will Do Build infrastructure as code. Manage infrastructure, networking, access controls, and supporting services through reusable, reviewed code. Enforce policies, detect configuration drift, and replace ad hoc changes with repeatable workflows and controlled emergency access. Make compute elastic and efficient. Automate scaling and dynamic rightsizing, improve cost visibility, and partner with developers to remove constraints on scaling. Own the lifecycle of golden AWS images (AMIs), including building, scanning, patching, validation, and rollout. Build and operate Docker workloads. Partner with developers to containerize suitable services. Standardize Dockerfiles, automate image builds and scanning, manage image lifecycles, and troubleshoot containers in production. Implement security with SecOps. Translate policy into least-privilege IAM, tightly scoped security groups, network segmentation, account isolation, secure credentials and secrets, encryption, and access auditing. Embed security into delivery. Own scanning platforms and pipeline integrations for code, dependencies, secrets, infrastructure, and images. Catch issues before merge wherever practical and enforce deployment gates. Coordinate vulnerability remediation, deadlines, and documented exceptions with SecOps and developers, owning infrastructure fixes. Automate and control releases. Build CI/CD pipelines with appropriate approvals, policy checks, protected environments, traceable releases, and dependable rollback. Establish release standards with development teams and adopt progressive deployment approaches where useful. Provide dependable environments. Automate provisioning and teardown of ephemeral environments and maintain staging, pre-production, and load-testing infrastructure. Support developer-owned load and performance tests through capacity analysis, infrastructure measurements, and tuning. Make systems observable. Establish metrics, structured and centralized logs, traces, and dashboards. Build actionable alerts for failures, emerging trends, anomalies, and capacity risks across infrastructure and customer-facing transactions. Apply AI to engineering and operations. Use assistants and agents with repositories, cloud APIs, and operational data to investigate issues, analyze trends, recommend improvements, and implement solutions. Review outputs critically and validate changes before rollout. Improve reliability and recovery. Help define reliability targets, test restoration and recovery procedures, share on-call responsibility, and lead infrastructure-related investigations with developers and support teams. Turn incident findings into lasting improvements. Build tooling and support platform adoption. Develop tested internal tools, services, APIs, and self-service capabilities. Maintain useful documentation, runbooks, and clear service ownership. Help teams migrate to the new platform and retire legacy infrastructure. Location and Working Hours This role is open to candidates based in Belarus or Georgia, with at least four hours of overlap with the business day in New York (US Eastern Time). The role includes participation in a shared on-call rotation . What You Bring Experience: 5 or more years in DevOps, platform engineering, site reliability engineering, or software engineering, with meaningful ownership of production systems. Software engineering: Demonstrated ability to design, write, review, test, and maintain code, with strong skills in a language such as Python, JavaScript, or Go, plus shell scripting. Previous experience in a software development role is a strong advantage. AI-first approach: Demonstrated use of AI assistants and agents to deliver engineering and operational improvements. You can delegate substantial work to AI agents, critically evaluate their output, and independently validate results. AWS: Strong production AWS experience across compute, Auto Scaling, load balancing, networking, IAM, and managed databases. IaC: Strong infrastructure-as-code experience with tools such as Terraform, CloudFormation, or Pulumi, including bringing existing infrastructure under consistent, version-controlled management. Docker: Strong hands-on experience with Dockerfiles, multi-stage builds, image optimization, container networking, configuration and secrets handling, and runtime troubleshooting. Golden images: Experience building and maintaining golden AWS images (AMIs), including automated configuration, patching, validation, and rollout. CI/CD: Experience designing and maintaining pipelines with automated builds, security checks, deployment approvals, and reliable rollback. Systems and troubleshooting: Strong Linux and networking fundamentals, with experience diagnosing production problems using metrics, logs, and traces. Security: Hands-on experience implementing cloud access controls, integrating security scanning into development workflows, and remediating infrastructure vulnerabilities in partnership with security teams. Databases and Data Stores: Experience supporting relational, document, and in-memory data stores—such as Amazon RDS, MongoDB, Redis, or similar technologies—with a focus on performance, reliability, and recovery. Engineering judgment: Sound judgment about scaling, failure handling, security, performance, and cost. Collaboration: Strong collaboration skills across software engineering, SecOps, QA, and support teams. You build productive working relationships, communicate tradeoffs clearly, and work through problems together. You make it easier for others to build, release, and operate software safely, and take shared responsibility for resolving issues across team boundaries. Incident response: Experience handling production incidents, communicating clearly under pressure, and following through on corrective work. Communication Skills: Strong written and spoken English. You explain complex technical issues clearly and coordinate effectively across teams in everyday work and during incidents. We value depth of understanding over familiarity with every named tool. Software engineering ability, effective use of AI, and ownership of production outcomes are core requirements Nice to Have: Experience modernizing established platforms through incremental migrations Container orchestration with ECS or Kubernetes Analytics databases such as ClickHouse or streaming services such as Amazon Kinesis High-volume, transaction-heavy systems Developer self-service platforms or progressive delivery Our benefits: Remote b2b (Georgia) or hybrid / remote (Belarus) work opportunity! Stable job with long-term growth perspective. Competitive salary with annual performance review. Really good hardware. An exciting and challenging job with talented people around. Continuous learning and career growth opportunities. Compensation for professional training, seminars, and conferences. Referral program – get rewarded for helping us grow the team with talented people. Company-supported English classes to enhance your professional growth. More perks for the Minsk office employees. A few words about us: IDT Corporation is a global communications company founded in 1990 and headquartered in Newark, New Jersey. We are industry leaders in prepaid communication and payment services and one of the largest international voice carriers. We are listed on the NYSE, employ over 1800 people across 20 countries, and have over $1.5 billion in revenues.  We are not ”another big IT corporation”— we encourage and support in-house entrepreneurs in developing their ideas into business actions. Our National Retail Solutions brand provides a sales management system and POS equipment to small and medium-sized businesses. With the help of NRS, business owners can solve a management problem: the product includes integrated advertising, data analysis, and payment processing.

Location: Espoo Workplace: Hybrid Senior Software Engineer - SAR Processing Platform Role highlights: Job title: Senior Software Engineer - SAR Processing Platform Location: Espoo, Finland Department: SAR Processing Platform Reports to: SAR Processing Platform Team Lead Employment type: Permanent Workplace model: Hybrid : 3 days in the office Employment is subject to applicable security screening (incl. SUPO, where required) Why this role matters: As a Senior Software Engineer, you’ll shape the platform that every ICEYE image passes through before a customer sees it. The SAR Processing Platform validates raw radar data, decides when and where to process it, runs the processing workflows, catalogs the products and gates their delivery. You’ll join a small team that owns this orchestration layer end to end, running in the cloud and on on-premises clusters at customer sites, and you’ll help decide where it goes next. The hard problems are scheduling and routing under cost and latency constraints, data integrity across a multi-step pipeline, safe rollouts across many environments, and keeping a system that processes every ICEYE image reliable with a small team. Who We Are ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world’s largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. Your day-to-day responsibilities - Own the design of the orchestration layer (scheduling rules, routing between processors, failure handling and resource planning) and build and maintain the backend services and processing workflows behind it. Write the design, argue it with production data, and land it in stages. - Lead incident response for processing incidents, run cross-team root-cause work with the SAR processing and other engineering teams, and make sure postmortem actions close. - Drive platform-wide changes across repositories and environments: multi-release rollouts across cloud and on-prem clusters, migrations that never lose data on first rollout, gradual rollouts and quality gates. Harden access to the platform with least-privilege access to data stores, audit logging across services, and access reviews with Security Engineering. - Review designs and code, pair on hard debugging, and raise the bar on tests, documentation and runbooks. Represent the platform toward SAR processing, other engineering teams, product, DevOps and on-prem customers: turn requests into prioritized work with a business case, and push back with data when needed. What we’re looking for Must haves: - 5+ years of backend software engineering, including building and operating distributed systems in production, with strong Go plus strong Python or Rust - Deep hands-on Kubernetes experience (resource management, scheduling, node pools and autoscaling, Helm), plus AWS (S3, IAM, EKS) and Terraform - PostgreSQL at depth (performance, zero-downtime migrations, query design) and experience with event-driven and batch pipelines: idempotency, at-least-once delivery, backpressure, large objects in S3 - A track record of running production (incident lead, reliability improvements you can quantify) and strong written design communication: you can lay out options, back a choice with data and get a team to agree. Fluent English, a collaborative mindset in a distributed team, and pragmatic use of AI/LLM tools in daily development Nice to haves: - Argo Workflows or another workflow engine at scale; NATS or Kafka; Rust for data-intensive tooling - Geospatial or remote-sensing data (GeoTIFF, COG, STAC, GDAL), or SAR specifically; on-premises Kubernetes (RKE2 or similar) and restricted deployments - GitOps and observability (Flux and Helm; Prometheus, Grafana, OpenTelemetry); security work such as IAM reviews, audit logging and pentest remediation Application Process 1. Recruiter Interview (30 mins online) 2. Hiring Manager Interview (60 mins online) 3. Technical Interview/ Task ( 60- 90 mins) 4. Onsite/ Final Interview (60 mins) Working at ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. How We Work (Our Values) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. Have fun: What we do matters, and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. Benefits Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. Our Commitment to Diversity, Equity, and Inclusion We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us, and we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Responsibilities: — Design, build and maintain backend services in Go with clean, idiomatic, and readable code — Design gRPC and REST APIs, maintain stable contracts, and version them when changes occur — Write efficient PostgreSQL queries, design schemas, and create safe, reversible migrations — Properly use goroutines, channels, and context to avoid leaks and ensure correct timeouts and cancellations — Handle errors explicitly, including retries and idempotency for repeatable calls — Write unit and integration tests covering business logic and failure cases — Implement structured logging, metrics, and health checks for problem diagnosis — Ensure service security by validating input, authenticating callers, and keeping secrets out of code and logs — Profile and optimize CPU, memory, and database load as needed — Write concise technical documentation for owned APIs and services — Review teammates' pull requests to maintain code consistency Requirements: — 1–3 years of commercial backend development experience in Go — Experience building or maintaining at least one production service in Go (REST or gRPC) — Proficiency with PostgreSQL including queries, indexes, and migrations — Experience using Docker and writing Dockerfiles — Basic Kubernetes knowledge is a plus — Experience integrating third-party APIs, preferably payments or webhooks — Familiarity with Git and pull requests in a team environment — Required skills include Go concurrency primitives (goroutines, channels, context), error handling, REST API design, gRPC and Protobuf knowledge, PostgreSQL SQL queries and migrations, Docker, Git, unit testing in Go, HTTP basics including JWT authentication, and Linux basics Nice to have: — Kubernetes basics (pods, deployments, logs via kubectl) — Experience with payment providers (Click, Payme, Uzum) or webhooks — Experience with message queues such as RabbitMQ, Kafka, or NATS — Redis — CI/CD with GitHub Actions — Monitoring tools like Prometheus or Grafana — Experience with Helm, ArgoCD, or other GitOps tools — Experience with HashiCorp Vault or other secrets managers — Experience with IoT or hardware integrations (barriers, cameras, ANPR) — Experience with payment providers and fiscal requirements — Networking experience including tunnels, VPNs (IPsec), and load balancers — Some knowledge of C#/.NET Soft Skills: — Takes responsibility for results beyond just completing tasks — Proactively asks for help when stuck — Communicates clearly about progress and blockers — Accepts code review feedback calmly — Learns new tools quickly — Pays attention to detail, especially in payment logic — Works well in a small team Candidate Assessment Process: 1. CV review including GitHub within 3 working days 2. Short call (20–30 minutes) discussing experience and role 3. Technical interview (60–120 minutes) covering Go basics, concurrency, PostgreSQL, REST/gRPC, and a live coding task 4. Final interview (30 minutes) with team lead discussing work style and offer Apply https://hh.uz/vacancy/139299572

Location: London; Belgrade; Ireland Keeping a crawler running is not the same as keeping it productive. Queues can grow while servers look healthy, and a small change can become a fleet-wide bottleneck. On Perplexity's Crawler team, you'll improve throughput, plan capacity, and build operational reliability through safer deployments, better observability, and durable fixes. Responsibilities - Operate and optimize Kubernetes workloads and supporting infrastructure for crawler services, including fetching and rendering fleets. - Build and maintain infrastructure as code and CI/CD pipelines, with safe rollouts, validation, and fast rollback. - Define SLOs and build monitoring, alerting, and observability for availability, latency, throughput, and resource saturation. - Own capacity planning and resource efficiency; diagnose queue backlogs, network failures, and resource bottlenecks with service owners. - Participate in the team's on-call rotation, lead incident response, and turn blameless postmortems into durable reliability improvements. - Write production software to automate diagnosis and routine remediation, with validation and approval gates for high-impact actions. Qualifications - 5+ years of experience in SRE, production engineering, or infrastructure-heavy backend roles, with strong programming skills in Python, C++, Rust, or Go. - Hands-on experience with cloud infrastructure, production Kubernetes, infrastructure as code such as Terraform, and automated deployment workflows. - Strong Linux and networking fundamentals, including TCP/IP, DNS, TLS, HTTP, and load balancing. - Experience building observability with tools such as Datadog, Prometheus, or Grafana, and using SLOs to guide reliability improvements. - Proven experience diagnosing distributed-system failures, leading production incidents, and improving system performance or resource efficiency. Nice to have - Experience operating web crawlers, search infrastructure, or browser fleets at scale. - Experience with distributed queues, backpressure, workload isolation, or multi-region recovery.

Location: London; Belgrade; Ireland Keeping a crawler running is not the same as keeping it productive. Queues can grow while servers look healthy, and a small change can become a fleet-wide bottleneck. On Perplexity's Crawler team, you'll improve throughput, plan capacity, and build operational reliability through safer deployments, better observability, and durable fixes. Responsibilities - Operate and optimize Kubernetes workloads and supporting infrastructure for crawler services, including fetching and rendering fleets. - Build and maintain infrastructure as code and CI/CD pipelines, with safe rollouts, validation, and fast rollback. - Define SLOs and build monitoring, alerting, and observability for availability, latency, throughput, and resource saturation. - Own capacity planning and resource efficiency; diagnose queue backlogs, network failures, and resource bottlenecks with service owners. - Participate in the team's on-call rotation, lead incident response, and turn blameless postmortems into durable reliability improvements. - Write production software to automate diagnosis and routine remediation, with validation and approval gates for high-impact actions. Qualifications - 5+ years of experience in SRE, production engineering, or infrastructure-heavy backend roles, with strong programming skills in Python, C++, Rust, or Go. - Hands-on experience with cloud infrastructure, production Kubernetes, infrastructure as code such as Terraform, and automated deployment workflows. - Strong Linux and networking fundamentals, including TCP/IP, DNS, TLS, HTTP, and load balancing. - Experience building observability with tools such as Datadog, Prometheus, or Grafana, and using SLOs to guide reliability improvements. - Proven experience diagnosing distributed-system failures, leading production incidents, and improving system performance or resource efficiency. Nice to have - Experience operating web crawlers, search infrastructure, or browser fleets at scale. - Experience with distributed queues, backpressure, workload isolation, or multi-region recovery.

Location: London; Belgrade; Ireland Workplace: Hybrid Perplexity is hiring a Web Access Engineer for the Crawler team to build reliable fetching and rendering systems for AI-powered search. You'll work on freely available public web content, within site permissions and approved access policies, and develop the infrastructure that supplies content to downstream indexing and retrieval systems. Your focus will be diagnosing network errors, page-loading issues, and incomplete rendering. You'll trace problems from network protocols through client-side execution, distinguish technical failures from intentional access restrictions, and turn findings into production fixes that improve content quality and efficiency at scale. Responsibilities - Own fetching and rendering improvements end to end, from investigation through implementation and production rollout, partnering with crawler engineers and SREs. - Investigate fetch and rendering failures across DNS, TLS, HTTP, caching, redirects, and client-side rendering, and classify root causes. - Improve page loading, completion detection, and content capture to preserve relevant content and handle dynamic pages reliably. - Ensure the crawler respects site-imposed access restrictions and rate limits, identifies itself clearly, and retries only transient technical errors. - Build tools to reproduce failures, compare crawler output against expected page content, and turn findings into regression tests. - Define metrics for fetching reliability, content completeness, and error classification, and use them to prioritize improvements. Qualifications - 5+ years of software engineering experience in web infrastructure, browsers, CDNs, or crawling, with strong programming skills in at least one of Go, Python, Rust, or C++. - Deep understanding of HTTP/1.1, HTTP/2, and HTTP/3, including status semantics, caching, conditional requests, content encoding, and redirects; strong knowledge of TLS, DNS, cookies, and sessions. - Understanding of CDN caching and content delivery, HTTP error handling, retry backoff, and server-defined rate limits. - Knowledge of page lifecycle, network idle, service workers, client-side rendering, and shadow DOM; experience debugging JavaScript and fluency with Chrome DevTools, CDP, HAR files, curl, and packet captures. - Comfort working independently when the path forward is not fully defined. Nice to have - Experience developing CDN, caching, or web performance systems. - Experience operating crawlers, headless browsers, or distributed content-acquisition systems at scale. - Contributions to a browser engine or JavaScript runtime.