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Location: London Workplace: remote About Merkle Science: Merkle Science provides blockchain transaction monitoring and intelligence solutions for web3 companies, digital asset service providers, financial institutions, law enforcement and government agencies to detect, investigate and prevent illicit use of cryptocurrencies. Our vision is to make cryptocurrencies safe and provide infrastructure for the safe and compliant growth of cryptocurrencies.   Merkle Science is headquartered in New York with offices in Singapore, Bangalore and London. The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon. The company has raised over US$27 MM from SIG, Beco, Republic, DCG, Kenetic, GGV and several others.   Responsibilities:   ·       Collaborate with Account Executives to ensure alignment of event marketing strategy with account plans. ·       Plan, execute, and track all aspects of Merkle Science’s event presence globally to maximize lead generation and pipeline growth. ·       Define marketing objectives and metrics for events. Conduct post-event evaluations, report progress towards goals, and recommend optimization strategies. Regularly measure event impact against KPIs to inform decision-making and enhance alignment with broader business goals. ·       Ensure alignment with the overall business strategy by contributing to strategic development of event marketing plans. ·       Manage event marketing budgets and report regularly on budget utilization and performance. Track budget costs and proactively communicate scope changes that affect the budget. ·       Act as the point of contact and workstream leader for event marketing, supporting cross-functional teams and internal leaders. Collaborate with the Sales team to identify marketing-supported needs and potential gaps. ·       Ensure that all logistical information for event attendees is clearly communicated and organized, including event schedules, locations, registration details, and any additional relevant information to facilitate a seamless event experience. ·       Evaluate third-party opportunities and build vendor relationships to enhance market exposure, reduce cost, and ensure quality deliverables. ·       Stay informed about overall business development strategies including partner and key account plans, advocating for alignment where necessary. ·       Work alongside teams, suppliers, and other contributors through effective project management and collaboration to exceptional levels of execution of all assigned deliverables – on schedule and within budget. Qualifications: Minimum two years of experience in event marketing or field marketing. Knowledge in trade show project management is essential, from strategy, messaging, design, logistics, vendor management, budget, execution, to post-event analysis. Experience operating within B2B or B2G marketing ecosystems preferred. Proactive, self-motivated individual with excellent organizational and communication skills. Comfortable presenting strategy and results to senior leadership. Ability to manage multiple priorities in a fast-paced environment. Proficiency with Salesforce reporting and analysis of marketing funnel metrics. Occasional travel required, less than 20%. ❤️ Well Being, Compensation and Benefits We care about your well-being. Along with excellent health insurance, we offer flexible time off, learning & development initiatives and hours that are designed to provide work/life balance.  We regularly host team-building sessions and encourage discussions around mental health.     We reward talent and believe in acknowledging people for their contributions.  We offer industry-leading compensation, along with generous equity.  As a rapidly growing business, there are endless opportunities to grow your career with Merkle Science.

Location: Amsterdam, Netherlands; Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Role Nebius is looking for a Senior Product Manager to own Commercial Agreements and Pricing Mechanics within the Billing Platform team. Our billing platform is how Nebius turns AI infrastructure into a business. As the company grows, Sales and GTM teams need increasingly sophisticated commercial constructs: commitments, credits, custom terms, multi-tenant setups. Your mission is to make sure every deal the business needs is supported by the billing platform out of the box, with as few unsupported custom deals as possible, and to build pricing mechanics that help maximize revenue. This is a role at the intersection of product, commerce, and engineering. You will translate commercial intent into billing capabilities: well-defined product mechanics with clear rules, data models, and self-service potential. Responsibilities Own the vision, roadmap, and backlog for commercial agreements and pricing mechanics in the Nebius billing platform Design and ship billing support for commercial constructs Develop pricing mechanics that drive revenue growth, such as dynamic pricing models Systematically reduce the number of deals billing cannot support out of the box: identify recurring deal patterns and turn them into productized capabilities Partner closely with Sales, GTM, Finance, Legal, and Operations on deal structures and contract mechanics; work with the billing engineering team on design and delivery Own discovery, requirements, delivery, and success metrics for your domain, and keep documentation and internal enablement up to date Who we are looking for 5+ years of product management experience, including hands-on ownership of billing, monetization, or pricing products Solid technical grounding: you are comfortable discussing APIs, data models, and billing pipelines with engineers and can reason about system design trade-offs, even if you do not write production code Experience operating in an enterprise B2B environment with many stakeholders: sales, finance, legal, engineering Strong analytical skills: you model the revenue and margin impact of pricing and discount mechanics before committing to them Nice to have FinOps or cloud billing domain expertise: commitment discounts, usage-based pricing, FOCUS or similar billing data standards Experience supporting enterprise deal desks or working directly with Sales on non-standard deals Background at a cloud provider (hyperscaler, GPU cloud, or adjacent infrastructure business) Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Remote Workplace: Remote About Prefect Prefect builds automation for an unpredictable world. The last decade of automation was about protecting workflows from unpredictability; in the agentic era, unpredictability is the point. Our mission is to give people confidence in automated work, whether that work is a mission-critical data pipeline or a fleet of AI agents. In August 2026, Prefect and Dagster, competitors for eight years, joined forces to build the next generation of automation infrastructure. Today, our ecosystem includes Dagster, the data platform; Prefect, the agent platform; and FastMCP, the leading open-source developer framework for the MCP ecosystem. Together, our open-source and commercial products are trusted by Fortune 500 companies, data innovators, and high-growth technology companies around the world. We think of our culture as the operating system of the company. We’ve carefully created a supportive, high-performance environment that empowers our team to do the best work of their careers, have meaningful impact, and continue growing personally and professionally. We’re a remote-first team that values high standards, ownership, and thoughtful collaboration. ROLE SUMMARY Developer Success is the technical support function for Prefect's customers across the Prefect and Dagster product lines. Its mission is to resolve customer technical issues with the least possible customer effort, and to prevent those issues from recurring. We are hiring a Developer Success Engineer to work the combined Prefect and Dagster support queue. You will diagnose and resolve technical issues in customer environments, own each issue through resolution, and contribute to the documentation, tooling, and product feedback that reduce future volume. You will be trained on both Prefect’s and Dagster’s products. The team is investing in agent-based automation for routine support work, which is moving the engineering focus toward complex diagnosis and escalation. This role is well suited to an engineer who wants to build deep expertise in orchestration and data platform environments and apply it directly with customers. WHAT YOU'LL DO - Clear the failure state, and prevent the next one. Diagnose problems across Prefect and Dagster installations, integrations, deployments, and the cloud and container environments they run in. Find the underlying "why" so your first response resolves the question and pre-empts the follow-ups. Turn what you learn into docs, debugging resources, and tooling that deflect repeat submissions. - Own what's ours; say no clearly to what isn't. Take full accountability for root causes inside our products' domain of control. For problems outside our Scope of Support, issue a principled no that still gives the customer a way forward. Helplessness erodes trust as fast as a wrong answer. - Support your findings, and ask customers to support theirs. Back every diagnosis with evidence and logic. Assume the customer is the expert on their own stack, ask for what you need to troubleshoot both sides of an issue, and explain why you need it. Leave room for the possibility you've missed something. - Give the best possible update every time, and say so when you're still building it. A half-baked answer sent fast is worse than a complete one sent when it's ready; but radio silence is worse than both. When an issue needs to be escalated, you stay the customer's single point of contact, keep them updated on a regular cadence, and close the loop. - Feed the product. File reproducible product issues and surface recurring failure patterns to Engineering and Product. You'll work the queue independently on day-to-day issues and own moderate-complexity problems end to end, including investigations across a customer's cloud environment. You'll ask when the Scope of Support or an escalation path is unclear, and you'll build the judgment to recognize when an issue belongs with Customer Engineering or a CSM instead. We measure the role on Customer Effort Score and resolution time, held in tension: a fast answer that costs the customer effort isn't a good one. Coverage is 9am to 5pm Pacific, with an on-call rotation shared across the team. YOUR QUALIFICATIONS Must have: - Python fluency at the level of reading and debugging someone else's code, not only writing your own. - Hands-on experience running workloads in at least one major cloud and in containers or Kubernetes, enough to troubleshoot a deployment you didn't build. - Experience with a workflow orchestrator (Prefect, Dagster, Airflow, or comparable) and a strong interest in the data engineering space it lives in. - A track record of technical, customer-facing work: support, solutions engineering, developer relations, or similar. - Clear enough written communication to explain a root cause to a skeptical senior engineer and earn their trust. Nice to have: - Direct experience with Prefect or Dagster specifically. - A history of open-source contribution, in any project. - SQL and data warehouse familiarity. - Experience building support tooling or automation. WHAT TO EXPECT This is a support role. There's a queue, a Scope of Support, and an on-call rotation, and the first job is always the failure state in front of you. If a defined scope and a real customer on the other end of every problem sounds like the point, this is the role. While engineers on this team do contribute code and take on consultative work, the queue comes first. Those opportunities will progressively open up as the agent tooling absorbs the formulaic work. WHAT YOU'LL GET IN RETURN Base Salary Ranges: - San Francisco Bay Area & NYC Metro: $149,000–$176,000 - Washington D.C., Boston, LA Metro, Seattle: $136,000-$165,000 - Denver, Chicago, Atlanta, & all other U.S. metros: $128,000–$150,000 Actual base salary within each range depends on the candidate's location, experience, and qualifications. Please keep in mind that equity and benefits are not included in the range provided above. Your recruiter can share more about the salary range for your preferred location during the hiring process. Perks and Benefits: - Remote-first team with flexible-first culture - Equity Stock Options - 401(k) with 5% company match (vests immediately!) - Unlimited PTO - Medical, Dental and Vision insurance - Generous Parental Leave - Life Insurance and Disability benefits - $800/month remote work stipend And that's just the start — for more info check out our benefits and perks on our careers page. BELONGINGNESS AT PREFECT: Belongingness at Prefect is our commitment to ensuring mutual power, access, and opportunity among all groups and individuals who make up our community. We operationalize belongingness through actions large and small on a daily basis, but always with the goal that all groups and individuals can contribute as their most authentic self to the evolution of our product, our team, and our community. Belongingness is also our commitment to bridge with individuals or groups not yet established in our community, acknowledge differences in a way that affirms distinct identities, and allows for a new, more expansive group identity to form. EQUAL OPPORTUNITY AT PREFECT: Prefect is an equal opportunity employer and encourages applications from people of all backgrounds. All applicants will be considered for employment without attention to race, religion, color, sex (including pregnancy, sexual orientation and gender identity/expression), national origin, disability or any other status protected under applicable federal, state, or local laws. Delaney is a real live person (👋🏻) and is looking forward to learning more about you through your application.

Location: Global Workplace: Remote TL;DR: We're hiring a DevRel Lead to make White Circle the AI safety platform engineers and researchers actually want to build with. You'll own how we show up to technical audiences: shipping technical content, running hackathons and meetups, launching open-source tools like Halo, and building partnerships across the AI ecosystem.   ABOUT WHITE CIRCLE White Circle http://whitecircle.com is an AI Safety company building the safety, reliability, and optimization layer for AI systems. At the core of our platform are policies – simple natural-language rules that define what an AI model should and shouldn’t do. We automatically test, enforce, and continuously improve these policies at scale. - We’ve recently raised our Series A funding round, taking our total funding to $70M. Our investors include top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others - We process over one hundred million API calls every month - We fine-tune and train our own LLMs so they run faster and cheaper than any open or proprietary model We’re a small, highly focused team. If you want to work deeply on hard problems, see your work ship to production quickly, and influence how AI safety is actually built – you’re the one we need.   WHAT YOU'LL DO - Own White Circle's developer relations: how engineers and AI researchers discover, understand, and adopt what we build - Lead technical launches for open-source releases and developer tools, like our Halo framework, from narrative and demos through to launch day - Write and publish technical content: blog posts, tutorials, walkthroughs, demos, and threads on X and LinkedIn - Organise and run hackathons, meetups, and technical events, mainly in SF and New York - Build and grow a technical community around our open-source work and platform - Set up and run technical partnerships and collaborations with AI labs, dev tools companies, and research teams - Give technical input to promo and product videos, working with our design and creative team on production - Track what's working (signups, repo stars, views, event turnout, hiring pipeline) and double down on it WE'RE LOOKING FOR SOMEONE WHO - Has a strong technical background as a software engineer, ML engineer, or researcher - Has worked at a technical product company, ideally in dev tools, infrastructure, databases, or AI - Has organised hackathons, meetups, or technical events, and can show how they went (turnout, signups, what came out of them) - Has an engaged following among engineers and/or AI researchers on X, LinkedIn, GitHub, or elsewhere - Knows the AI tooling landscape well: coding agents, eval frameworks, open-source models, and who is building what - Can take a complex technical topic and make it compelling for a developer audience without dumbing it down - Thrives with ownership and moves fast without waiting for direction - Is based in the US, or able to work US hours. SF or New York is ideal, but we'll consider exceptional candidates anywhere - Is fluent in English A BIG PLUS - You've led developer marketing or DevRel for a technical launch that drove real adoption - You've contributed to or maintained popular open-source projects - You have existing relationships across the AI research and developer community - You've worked on or around AI safety, evals, or reliability COMPENSATION & BENEFITS - Competitive compensation package, including equity - Flexible time off - Health insurance - Mental health support, including coverage for therapy when you need it - 401(k) retirement plan - Learning and development support for courses, conferences, and opportunities to grow your skills - All the hardware, subscriptions, tools, and services you need - Team off-sites twice a year: we’ve recently been to the Alps, Saint-Tropez, and Marbella PROCESS 1. Intro call with Talent (25 min) 2. Take-home assignment, with a choice of a walkthrough of one of our public repos or a launch case study on a sample company 3. Technical chat with Head of Design & Head of Applied Research (45 min) 4. Final conversation with CEO & Head of Engineering (45 min)

Location: Noida, India Workplace: hybrid TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization. We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact? Responsibilities We are looking for a Professional/ Senior Fullstack Software Engineer (all genders) to join our new Integrations & Partner Enablement team in Noida. The team connects TeamViewer products to the enterprise systems our customers run on, such as ERP, warehouse management (WMS) and manufacturing execution (MES) systems, and gives partners the tools to build integrations on their own. You will own integration features end to end, shape technical direction for our SDKs and integration templates, and act as a technical reference and mentor in the team. The work is mostly backend, with web frontend work on our extension tools. You will work closely with engineering and product teams in Europe. Design, build and maintain our Connector SDK, integration templates and backend services using Java/Kotlin with Spring Boot or Node.js/TypeScript. Build web extensions and tooling with React and TypeScript. Drive design decisions for scalable, secure and reusable integrations, applying event-driven and API-first principles. Design data mapping and transformation between our products and enterprise systems such as SAP, WMS and MES. Turn customer-specific integrations into standard, configurable templates. Write developer documentation, samples and guides for partners and system integrators, and support them technically. Drive testing strategy across the stack (unit, integration, contract, end-to-end) and contribute to CI/CD pipelines. Drive adoption of AI-assisted development in the team: set good practices, share workflows and keep quality high. Mentor other engineers, lead code reviews and promote engineering best practices. Requirements A degree in Computer Science, Software Engineering or a related field, or equivalent experience. 6+ years of professional experience in software development across backend and frontend, with a track record of leading technical topics. Strong backend experience with Java and/or Kotlin and Spring Boot, or with Node.js and TypeScript. Solid experience with React and TypeScript. Strong experience with enterprise integration: REST APIs, data mapping and transformation, event-driven integration and messaging. Good understanding of authentication and authorization standards such as OAuth 2.0 / OpenID Connect. Experience with relational and NoSQL databases. Experience with Git, CI/CD, automated testing, Docker and cloud platforms (Azure or AWS). Hands-on experience with AI coding tools (e.g. Claude Code, GitHub Copilot, Cursor) and a clear view on how to use them responsibly in a team. A consulting mindset: able to understand a customer process and turn it into a reusable, standard solution. Experience mentoring engineers and working in agile teams. Good working-hours overlap with Central European Time. Fluent in English (spoken and written). Nice to have Background in SAP consulting or a systems integrator, or at a product company with an integration platform or SDK (e.g. iPaaS, WMS or MES vendors). Experience with SAP integrations (e.g. SAP EWM, SAP S/4HANA, OData, BAPI/RFC, IDoc, SAP BTP / Integration Suite); SAP certification is a plus. Experience with WMS or MES products (e.g. Manhattan, Blue Yonder, Körber, Siemens Opcenter) and understanding of logistics, warehouse or manufacturing processes. Experience building SDKs, developer tools or developer documentation. Willingness to travel occasionally to Europe. TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race. If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you.

Location: Paris, France Workplace: Hybrid HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. MISSION Alan is scaling internationally (800+ employees, 100+ healthcare professionals, 5+ countries) and needs IT Engineers to build and own the internal technology platform every Alaner works on: identity and provisioning, endpoint and SaaS security, the tooling behind our clinics, and the automation that keeps IT from scaling linearly with headcount. The scope below is what the team owns, not a checklist for one person. You'll be staffed on one or two of these areas at a time, according to your strengths and interests, and it will evolve through time based on company needs and personal appetite. Staying close to users keeps us building the right things: you'll spend up to 2-3 days a month on IT support, seeing first-hand where friction lives and what's worth automating next. SCOPE ⚙️ PLATFORM & AUTOMATION - Own and extend automations on Alan Home, our internal provisioning engine - Maintain, extend and improve helpdesk automation, SaaS provisioning flows, and onboarding/offboarding pipelines - Own the meeting room AV and room-booking platform as a product, replicable across offices 🔑 IDENTITY & ACCESS - Own the IT side of the employee lifecycle (onboarding, offboarding, mobility between jobs and countries) across Google Workspace, SSO/SAML and our SaaS ecosystem. - Grow our role-based access model: extend it to more tools and refine the permission groups, so access is granted by role rather than case by case - Make employee lifecycle events reliable, fast and auditable end-to-end - Own access reviews and least-privilege models; produce and maintain the evidence our auditors rely on - Own SaaS procurement and license management: vendor relationships, renewals, and cost optimization across our stack 🔒 ENDPOINT & SAAS SECURITY - Own the Mac fleet in Kandji: enrollment at scale, role-based blueprints, fleet compliance - Cloudflare WARP, SaaS security controls - Maintain and strengthen our ISO 27001 certification and drive ACPR and pentest remediation on the endpoint and platform scope 🩺 HEALTH PROFESSIONALS IT - The IT layer behind Alan's clinics: practitioner tooling, equipment, access - Role and permission automation for healthcare professionals, and their support and escalation process 🌍 INTERNATIONALISATION - Make international expansion something IT accelerates, not something it slows down: a repeatable process where every new market (Canada, KSA, Armenia...) launches on our standard stack from day one - Bring acquired entities onto that same platform MILESTONES First 3 months - Acquire technical knowledge on Alan's platform: Alan Home, Google Workspace/SSO, Kandji, Cloudflare WARP - Take one project end-to-end and ship a first increment - Join the IT oncall team as technical escalation First 6 months - Own a workstream end-to-end - Deliver one automation or hardening initiative end-to-end - Take up documentation and automation on your scope and reduce significantly the bus factor on it - Mentor IT teammates on your core expertise First year - Deliver measurable IT toil reduction on your scope - Set the technical standards on your domain: how we build, document and review it - Build strong cross-functional partnerships (Engineering, Security, Workplace, Clinic, People, Audit) - Contribute to hiring and onboarding new teammates 3 years - Lead major projects end-to-end across several communities - Be the reference the team relies on across at least two domains - Mentor the IT team and beyond, and scale IT without a linear increase in manual work As the community grows, there is room to take on more responsibility: leading a crew, owning cross-community projects, mentoring, hiring. WHAT WE'RE LOOKING FOR Must-have - Technical/hard skills: - 5+ years in IT engineering, platform, systems or corporate engineering, with real ownership of production-facing systems - Depth in at least one area (platform & automation, identity, endpoint & security) and demonstrated range beyond it. - You write code: not necessarily as a full-time software engineer, but Python, APIs and pull requests in a shared repo should feel normal - Structured problem-solving: diagnoses methodically, asks the right clarifying questions, thinks about failure modes and rollback - Comfort with regulated environments: health data, ACPR, ISO 27001, HDS - Automation & AI appetite: uses AI tools smartly to accelerate their own delivery, with an instinct for what should be automated or delegated to AI rather than repeated Must-have - Behavioral / soft skills: - Ownership & autonomy: drives topics forward without hand-holding, including when they cross into someone else's perimeter - Written communication: Alan is written-first; decisions get argued in public documents and challenged by people outside your team - Pragmatic judgment: balances "perfect" vs. "good enough", decides with incomplete information - Documentation culture: reduces bus factor through clear documentation and knowledge sharing Nice-to-have skills / Bonus points if you have: - Experience with an internal provisioning or IdP-driven automation platform - Kandji or another MDM at scale - Cloudflare Zero Trust / WARP, Datadog - Audit remediation experience (ISO 27001, HDS) - Multi-country rollouts, or IT integration after an acquisition - Having mentored, coached or led a (small) crew - Health or healthtech ecosystem familiarity Languages: Fluent English & Professional French

Location: Quebec Workplace: onsite (Version française ci-dessous) Game Engine QA  With multiple awards to our name, Larian Studios has proven that we’re dedicated to delivering high-quality role-playing games As we move on to new projects, the studio that brought you Baldur’s Gate 3 & Divinity: Original Sin 2 is looking for a Game Engine QA to join the team and help us in crafting the high calibre games our fans have come to expect. Responsibilities: Perform all kinds of manual testing Closely assist the programming team with testing specific changes before code is submitted to the main developer branches Write new and maintain existing automated tests (Python/Pytest and Lua) Follow priorities set by the QA Lead to ensure team-wide goals are met Test and help improve our production pipelines and tools Act as the first point of contact for the production team on technical issues Requirements:  Experience in programming and/or scripting Familiarity working with game engines Background using Perforce or other version control systems Good judgment in estimating the significance and consequences of bugs A rigorous, methodical, and resourceful approach to your work Self-disciplined, with strong self-learning skills Good communication skills, spoken and written, in English Passion for video games Desire to build a long-term career in QA Nice To Haves

Workplace: remote Location : Quantori is an international team: we have colleagues who work not only from office but also remotely from all over the world. Responsibilities : Design, develop, and maintain production data pipelines using Python, Apache Airflow, Snowflake, and Amazon S3 Design and evolve scalable data architectures, including Bronze, Silver, and Gold data layers Develop data models and implement incremental loading, historization, versioning, and reusable transformation patterns Write and optimize complex SQL transformations, views, stored procedures, dynamic tables, streams, tasks, and scheduled jobs Integrate data from relational databases, APIs, object storage, and file-based sources Implement data-quality checks, validation, reconciliation, lineage, monitoring, and robust error-handling processes Manage Snowflake access controls, roles, permissions, service accounts, and deployment across development, staging, and production environments Maintain CI/CD pipelines for Snowflake objects, Airflow DAGs, and Python code using Git and automated testing Monitor and troubleshoot production pipelines and proactively improve reliability and performance Collaborate with data, analytics, engineering, and other technical teams to translate business and technical requirements into reliable data products Create technical documentation and specifications following established quality and compliance standards What we expect : 5+ years of experience in Data Engineering, including at least 3 years working with production data platforms Strong hands-on experience with Snowflake, including Data modeling, RBAC and access management, Warehouse management, Query profiling and performance optimization, Stored procedures Advanced SQL skills, including complex joins, CTEs, window functions, incremental processing, and query optimization Strong Python skills for ETL, database integration, automation, error handling, and testing Production experience with Apache Airflow, including DAG development, dependencies, sensors, task groups, retries, backfills, and operational support Experience working with relational databases, object storage, APIs, and file-based data sources Strong understanding of modern data architectures, including medallion and dimensional modeling, slowly changing dimensions, natural and surrogate keys, and historization Experience with Git, pull requests, automated testing, and CI/CD for data pipelines and database code Strong problem-solving skills and the ability to work independently in a production environment Snowflake and Apache Airflow are core requirements for this role; experience only with alternative data warehouses or orchestration tools would not be sufficient Nice to have : Experience working in regulated or validated environments Background in life sciences, healthcare, clinical, laboratory, genomic, or bioinformatics data Experience working with LIMS or other scientific/clinical data systems Familiarity with OMOP or other standardized clinical data models Experience with data-consumption and visualization tools such as Tableau or Streamlit Familiarity with scientific or computational workflows and tools such as Nextflow or similar workflow orchestration platforms SnowPro certification Experience with AWS Managed Workflows for Apache Airflow (MWAA) We offer : Competitive compensation Remote work Flexible working hours A team with excellent tech expertise

Responsibilities: — Manage the full recruitment cycle from sourcing to offer and onboarding. — Recruit IT and Digital Marketing specialists. — Source candidates via LinkedIn, Telegram, job boards, and other channels. — Conduct initial interviews and coordinate hiring stages. — Work with ATS/CRM and maintain candidate pipelines. We offer: — Fully remote work. — Fixed salary + performance-based bonuses. — Bonuses from $250+ per successful hire. — AI tools and recruitment resources. — Job board and vacancy promotion budgets. — International team and opportunities for professional growth.

Location: Austin, United States; Tampa, United States Workplace: hybrid TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization. We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact? Responsibilities As a Sr. Talent Acquisition Partner specializing in Tech hiring across North America, you will play a critical role in attracting and hiring top technical talent across Software Engineering, Product, Data, Cloud, Infrastructure, and IT functions. You will partner closely with hiring managers and business leaders to develop effective talent strategies, build high-quality pipelines, and deliver an exceptional candidate experience that enables business growth. Manage the full recruitment lifecycle for technical roles, including sourcing, screening, interviewing, and hiring software engineers, engineering leaders, product professionals, and other technical talent Partner closely with hiring managers and engineering leadership to understand hiring priorities, workforce planning needs, and talent market challenges, providing strategic talent acquisition guidance Proactively source and engage high-caliber technical candidates through LinkedIn, networking, referrals, industry events, and direct outreach Build and maintain strong pipelines of passive technical talent to support current and future hiring needs across North America Develop trusted relationships with candidates throughout the recruitment process, ensuring a seamless and high-touch candidate experience Leverage market intelligence, competitor insights, and talent mapping to identify and attract top technical talent in competitive markets Monitor recruiting performance metrics, pipeline health, and hiring outcomes, providing insights and recommendations to continuously improve hiring effectiveness Requirements Minimum of 5+ years of full-cycle recruiting experience, with a strong focus on technical hiring within Software Engineering, Product, Data, Cloud, Infrastructure, or IT functions Proven track record of successfully hiring experienced technical professionals across multiple disciplines and seniority levels Bachelor's degree in Human Resources, Business Administration, or a related field Strong understanding of technical skill sets, engineering organizations, and the talent landscape for technology roles Excellent stakeholder management, communication, and influencing skills, with the ability to partner effectively with engineering leaders and hiring managers Demonstrated ability to proactively source, engage, and assess passive technical talent in highly competitive markets Experience using ATS platforms, LinkedIn Recruiter, and other sourcing tools, combined with a data-driven approach to recruitment and talent strategy Ability to manage multiple priorities and thrive in a fast-paced, high-growth environment Passion for delivering an exceptional candidate experience and building diverse, high-performing teams What we offer Work location is either Tampa, FL or Austin, Texas (Hybrid to the office). Competitive compensation and bonuses Flexible PTO and paid holidays 401(k) with employer matching Comprehensive Health insurance package including 100% employer-paid medical coverage Up to 12 weeks of Parental Leave Basic Life Insurance, Short-Term & Long-Term Disability, 100% employer-paid Quarterly teambuilding events, leadership luncheons, and companywide “All Hands” meetings Open door policy and business casual dress code We celebrate diversity as one of our core values. Join c-a-r-e and lead change initiatives together with us! In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States. TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race. If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you.

Требования: — Коммерческий опыт разработки на Python — Хорошие знания и практический опыт с одним из фреймворков FastAPI, Django, Flask — Уверенное понимание SQL/NoSQL баз данных и опыт работы с PostgreSQL — Опыт интеграции с OpenAI API / LLM / AI agents — Разговорный английский язык C1 (вся коммуникация с заказчиками ведется на английском языке) — Понимание принципов разработки, алгоритмов и структур данных — Опыт работы в команде — Опыт прохождения собеседований на английском языке Будет плюсом: — Опыт работы с облачными провайдерами AWS, Azure, GCP — Знания Frontend технологий JS, React, Redux — Опыт написания Data Pipelines Проекты англоязычные, поэтому важен уровень разговорного английского.

Location: London, United Kingdom Workplace: hybrid Marketing Manager, Embedded Partnerships Role As Marketing Manager, Partnerships at Sokin, you will own the marketing motion supporting our Embedded Partnerships business across EMEA. Working closely with the Partnerships team, and our central Marketing teams, you will be responsible for turning commercial priorities into high impact marketing activity that builds market education and category understanding, strengthens partner relationships, supports complex sales conversations, and contributes to qualified pipeline. This is a strategic and hands on role, combining ownership of the partnerships marketing approach with direct execution across category education, thought leadership, content and use cases, partner and client co marketing, sales enablement, and relationship led activations. You will shape plans and priorities, while also taking ownership from planning through execution and measurement, managing agencies, vendors, budgets, and multiple internal stakeholders along the way. A key part of the role will be helping clients and partners understand the value of embedded finance, payments infrastructure, and platform based solutions, translating complex capabilities into clear commercial value and relevant use cases. You will also play an important role in building the partnerships marketing playbook for EMEA, adapting proven approaches from more mature embedded finance markets to the needs of clients and partners across the region. About Us Sokin is a next-generation B2B financial services provider, enabling businesses to make and receive global payments with greater speed, lower cost, and total transparency. Our mission is simple: we’re simplifying global business - so businesses thrive wherever they choose to grow. We deliver services across: Global payments and receivables Foreign Exchange (FX) Treasury management Finance reconciliations We are rapidly expanding, with established presence in EMEA, APAC, and North America. Backed by a strong global infrastructure and industry-leading partners, we are redefining how businesses move money worldwide. Our clients span industries from sports and entertainment to logistics and travel, and our community is growing rapidly. As we continue to expand, we’re building a team of exceptional people who share our ambition to transform the future of global payments. Key Responsibilities Own the EMEA partnerships marketing programme, with a strong focus on market education, category development, partner engagement, and pipeline contribution. Develop marketing programmes that support longer and more complex sales cycles, translating embedded finance and payments infrastructure into clear commercial value and relevant use cases. Create compelling thought leadership, content, use cases, and sales enablement materials that support education, commercial conversations, and opportunity progression. Partner closely with the Partnerships team on account strategy, opportunity development, relationship building, and pipeline progression. Maximise the value of strategic memberships and industry associations through thought leadership, content, events, relationship building, and commercial activation. Own relationship led activations, including curated client events, sponsorships, executive hosting, and other targeted engagement opportunities. Collaborate closely with central Marketing teams across brand, content, digital, product marketing, and communications to deliver locally relevant activity aligned with global strategy. Measure marketing effectiveness and pipeline contribution, using performance insights and market feedback to continuously improve the approach and build a scalable EMEA playbook. Requirements 5 or more years of B2B marketing experience within fintech, payments, financial services, SaaS, or a related technology environment. Direct experience in embedded finance, payments infrastructure, platform partnerships, API based businesses, or a closely related area is strongly preferred. Strong understanding of longer and more complex B2B sales cycles, including marketing to multiple stakeholders over an extended decision-making process. Proven experience developing category education, thought leadership, content, and use cases that make complex technology solutions commercially relevant and easy to understand. Experience creating sales enablement and marketing materials that support opportunity development and pipeline progression. Strong experience partnering with Partnerships or commercial teams on account strategy, relationship building, and go to market activity. Entrepreneurial and commercially minded, combining strategic thinking with strong hands-on execution in a fast paced, high growth environment. Strong stakeholder management, project management, and communication skills across Partnerships, Marketing, Product, senior stakeholders, clients, agencies, and external partners. We are an equal opportunities employer committed to creating an inclusive work environment. As a growing global startup, we value agility and flexibility in our working culture. If you require any accommodations during the recruitment process, please let us know.

Location: Lisbon, Portugal About the Role We are seeking an experienced UiPath RPA Developer with strong Python skills to join our automation team. The ideal candidate will have hands-on experience designing and deploying UiPath automation solutions, combined with deep Python proficiency for building custom integrations, scripts, and data processing pipelines. You will work closely with business analysts, solution architects, and cross-functional teams to deliver end-to-end automation that drives operational efficiency. Responsibilities Design, develop, and deploy UiPath RPA workflows and automation solutions across attended and unattended processes. Write clean, efficient Python scripts and custom UiPath activities to extend automation capabilities and integrate with external systems. Analyze, debug, and optimize existing UiPath workflows and Python-based automation components to improve reliability and performance. Collaborate with business stakeholders to gather process requirements, conduct feasibility assessments, and translate manual workflows into automated solutions using UiPath Studio. Build and maintain Python-based integrations with REST APIs, web services, and data pipelines that complement UiPath automation workflows. Develop and maintain test frameworks using UiPath Test Suite and Python (pytest) to ensure automation reliability and quality across deployments. Manage and monitor robots via UiPath Orchestrator, including scheduling, queue management, alert configuration, and performance reporting. Maintain version control of UiPath projects and Python code using Git, and support CI/CD pipelines for automated deployment of RPA solutions. Leverage Python for web scraping, data transformation, and pre/post-processing tasks that feed into or extend UiPath automation pipelines. Interact with AWS services (S3, Lambda) and other cloud infrastructure to support scalable, cloud-based RPA deployments. Stay updated with emerging technologies and contribute ideas for improvements. Qualifications Education: Bachelor’s degree in computer science, Software Engineering, or a related field (or equivalent experience). Experience: 3+ years of UiPath RPA development experience, with at least 2 years of strong Python programming skills. Technical Skills: Strong proficiency in UiPath Studio, UiPath Orchestrator, and UiPath Test Suite; UiPath RPA Developer certification preferred. Advanced Python skills including scripting, automation, data manipulation (pandas, NumPy), and API integration. Experience with web scraping tools (e.g., Playwright, Selenium) for browser automation and integration with UiPath workflows. Basic knowledge of SQL and database concepts (e.g., PostgreSQL, MySQL). Experience with version control systems (e.g., Git). Understanding of REST APIs and JSON. Familiarity with AWS services, especially Lambda functions and S3 buckets. Experience building custom UiPath activities or integrations using Python or .NET to extend native UiPath capabilities. Familiarity with Linux/Unix environments. Soft Skills: Strong problem-solving and analytical skills. Ability to work collaboratively in a team environment. Good communication skills and a willingness to learn. Attention to detail and commitment to quality. Preferred Skills: UiPath Advanced RPA Developer or Solution Architect certification. Experience with cloud platforms (AWS, Azure, GCP) for deploying and scaling RPA infrastructure. Familiarity with process mining or task capture tools (e.g., UiPath Process Mining, Task Capture) for identifying automation opportunities. Experience with Agile/Scrum methodologies and automation CoE (Center of Excellence) governance practices. Knowledge of containerization (Docker) and CI/CD tooling (Jenkins, GitHub Actions) for automated RPA deployment pipelines. We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office four days, with the flexibility to work remotely one day (Friday). Benefits iCapital offers a comprehensive benefits package that includes a total compensation program consisting of competitive salary, annual performance bonus, and equity for all full-time employees; healthcare with 100% employer-paid health and dental insurance; and generous paid time off (PTO). For additional information on iCapital Network, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc

Location: San Francisco, CA Workplace: Hybrid About Niantic Spatial We are building for the >80% of economic activity that happens beyond the reach of screens. AI has learned from the text, images and video online, but it still lacks an accurate understanding of physical space. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. About the Role Niantic Spatial makes the physical world computable, helping people and machines collaborate safely by aligning how they understand reality. One of the fundamental problems we're helping autonomy teams and engineers overcome is the sim-to-real gap for visual-spatial understanding. We're applying our team's decades of experience encoding the world precisely as it is at Google Maps, Google Earth, and Niantic Labs to build the scalable real-to-sim stack for embodied AI. We're looking for a Senior/Staff Product Engineer to join our Embodied AI team. Working alongside the group's GM, Product leader, and robot learning engineer, you'll own how the product reaches customers, build the integrations that make it native to their simulators and deployment stacks, and influence the roadmap. You've turned capabilities into products. You've shipped developer-facing products and watched adoption turn on details nobody planned for. You know that a capability isn't a product until someone outside the building has used it without help, and you're passionate about the work that sits between the two. This is not a role for someone who wants to manage and not ship, or someone who wants to ship without ownership of commercial consequences. This is a role for an entrepreneurial engineer who loves to build and is energized by making the people around them, researchers and customers alike, more effective. You have a co-founder mentality. You may have been part of a founding team before, or want to start your own business one day. What You'll Do - Build the Product Surface - Own how autonomy teams experience our work: the APIs, UIs, packages, and documentation. - Make Our World Native to the Customer's - Turn scans and reconstructions into reliable, interoperable assets that work in customers' simulation tools and workflows, including packaging, metadata, semantic labels, object structure, and selectable variants. - Turn Prototypes Into Capability - Partner with reconstruction, mapping, localization, and research teams to transform prototypes and pipeline outputs into production-grade services and user experiences. - Deliver at Scale - Design and operate backend systems for accounts, organizations, sites, scans, assets, processing jobs, permissions, asynchronous workflows, storage, and data access. - Make It Work - Work directly with customers and internal users to integrate our technology, diagnose failures, improve reliability, and close the gap between intended and actual product behavior. - Influence the Roadmap - Work alongside the group's GM, Product leader, and robot learning engineer to shape what we build and when. What You'll Bring - 6+ years of software engineering experience; Bachelor's degree in Computer Science or a related field, or equivalent practical experience. - Significant experience building and operating production web applications and backend services, with strong fundamentals in API design, data modeling, testing, observability, and reliability. - Shipped developer-facing products — including the documentation and reference code external engineers actually used — and worked with 3D asset formats or comparable binary formats to production depth: you can say what the conventions were, where they broke, and what it cost you. - Proficient in Python and TypeScript, comfortable working across frontend and backend, and able to take a feature from product requirements through to running it in production. - Experience designing asynchronous workflows, long-running jobs, external integrations, and data-intensive systems. Nice to Have - Experience working with robotics simulators or toolchains such as Isaac Sim, Isaac Lab, or MuJoCo, or OpenUSD. - Built products for geospatial, 3D, computer vision, graphics, robotics, or spatial computing. - Worked on visualization or asset-management experiences with React, Next.js, or Three.js. Competencies - Relentless bias for action. You make decisions and ship as if the company’s success depends on it, because it does. You set the pace, and drive the people around you to rise to it. - Intellectually honest. You know there’s just one job that underpins every other in a startup: find the truth. You are relentless in your pursuit of it, including when it challenges your own convictions, and you raise concerns when you see them — even when it's uncomfortable, and especially when it's unpopular. - Pragmatic. You have no patience for not-invented-here syndrome and analysis paralysis. You find the fastest path to a working capability without one-way doors that undermine scaling. - Confident and credible with customers. You can read an autonomy engineer's training config, find why our asset didn't load, and explain the fix in their terms. - Fluent in other people's ecosystems. You'll spend much of your time learning new tools and stacks. You're quick to learn the customer's language, and you can point to something you shipped in a world that was foreign to you a quarter earlier. Compensation & Benefits The base salary range for this role is $207,000 - $265,000, and your offer within it will reflect your experience and the scope you take on. Compensation also includes an annual bonus, equity, and a comprehensive benefits package including medical, dental, and vision coverage, 401(k), and more. Location & Work Model This role is based in our San Francisco office, with three days per week in office. Inclusive Application We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed - you may be exactly who we're looking for. Equal Opportunity Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. Candidate Privacy I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.

Location: Hong Kong Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. You will work within a data focused function supporting Quantitative Researchers, Traders, and other stakeholders across the firm. The role focuses on designing and developing financial datasets that support systematic strategies and trading decisions, with particular emphasis on market data, pricing datasets, and reference data. You will combine financial market knowledge with Python and data engineering skills to build and own the automated production pipelines that create and maintain these datasets. Your future role within QRT Collaborate with Quantitative Researchers and Traders to design financial datasets that support systematic strategies and trading decisions Develop Python code to extract, clean, normalise, and aggregate data from a range of financial market data sources Design, build and maintain automated data pipelines covering sourcing, extraction, transformation, validation and delivery Develop and maintain pricing and reference datasets across financial instruments and markets Investigate and resolve data quality and production issues to improve the reliability and availability of datasets Evaluate and implement new approaches to data extraction, processing and onboarding Take ownership of production data workflows and evolve them as data requirements, systems and business priorities change Your present skillset 2 to 5 years of experience in a data focused role working with financial or market data Strong understanding of financial markets and instruments, including the behaviour and characteristics of pricing and reference datasets Advanced Python programming skills, including experience with data processing libraries such as Pandas or Polars Experience designing, building and maintaining automated production data pipelines Strong data analysis and problem solving skills, with the ability to investigate data quality issues and understand their underlying causes Experience working with market data platforms and APIs from providers such as Bloomberg or LSEG is beneficial, including products such as Datastream, DataScope Select, Real Time, BPIPE or Data License Postgraduate degree in Mathematics, Physics, Engineering, Computer Science or another quantitative discipline Strong communication skills with the ability to collaborate effectively with Quantitative Researchers, Traders and other stakeholders Ability to operate effectively as priorities, systems, projects and business requirements evolve QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: Bengaluru, India We are looking for a Senior AI Quality Engineer (L3+) with strong Python skills and hands-on experience testing AI and ML systems. You will analyze requirements, define evaluation strategies, build automated checks, validate models and outputs, test APIs and data pipelines, verify defects through resolution, and contribute to release readiness for your assigned product area. You will both evaluate AI systems and design, build, and operate QE agents for the software testing life cycle. AI-assisted work is part of everyday QE practice on this engagement, with Ragas, DeepEval, promptfoo, Cursor, and other AI and ML tools used for evaluation, scripting, test generation, analysis, and maintenance. You will also build golden datasets, calibrate LLM-as-judge methods, test agentic workflows and RAG systems, implement self-healing and intelligent test approaches, and diagnose quality, safety, performance, and cost failures across distributed AI services. This position is intended for Hyderabad-based candidates who are available to work from the office. The client delivers AI agents, retrieval systems, models, and data pipelines across a broad technology landscape. Quality is part of delivery through evaluation gates, automated regression, model and data validation, security and privacy checks, and evidence that a release is ready. Python is the primary language for AI evaluation, model validation, API testing, data-pipeline quality, and QE agent design. The role combines deterministic automation with probabilistic evaluation to assess AI behavior across models, data, retrieval, tools, and integration surfaces, and designs and operates agents that support the software testing life cycle. Analyze requirements and define evaluation strategies, golden datasets, regression benchmarks, baselines, thresholds, and blocking metrics with domain-expert review. Design, build, and orchestrate AI agents, persona-based workflows, and reusable skills for the STLC using LangChain, LangGraph, or Semantic Kernel. Build automated evaluations and benchmarks for LLMs, agents, RAG, retrieval, tool trajectories, and contracts using Ragas, DeepEval, and promptfoo. Calibrate LLM-as-judge against human grading, manage non-determinism through repeated runs, and detect regression and drift. Write and maintain Python and pytest automation for AI, ML, API, data, and integration workflows. Use Cursor and agentic tools to analyze requirements, generate and review tests, and maintain evaluation suites. Validate deep-learning, reinforcement-learning, and predictive models using LangChain. Build AI-assisted STLC workflows for requirements analysis, test design, script generation, execution, self-healing, failure analysis, and defect triage, plus intelligent test selection and defect prediction. Integrate LLMs, APIs, embeddings, vector databases, retrieval pipelines, and enterprise data sources into QE frameworks using Python. Test REST and streaming APIs, agent tools, and RAG and MCP integrations, including authentication, errors, retries, and recovery. Test data and retrieval pipelines for schema integrity, lineage, idempotency, fallback, promotion gates, and rollback. Integrate evaluations, benchmarks, and agent workflows into QE frameworks and CI/CD on GitHub Actions, review Allure results, and keep TestRail aligned with automated coverage. Test prompt injection, jailbreaks, unsafe tool use, data exfiltration, access control, PII controls, and guardrails. Measure accuracy, relevance, groundedness, hallucination, retrieval quality, agent reliability, latency, throughput, token use, and cost, and diagnose distributed failures. Implement tracing, monitoring, and production evaluation using Langfuse, LangSmith, or a comparable AI observability platform. Deploy and operate QE agents on Amazon Bedrock AgentCore or a comparable agent platform, with governance and human oversight. Deploy and validate AI and ML solutions on AWS or Azure, including secrets, database services, and cloud-native test infrastructure. Report, track, and verify defects in Jira, and work with domain experts, product, and engineering on traceable coverage and untested scope. Contribute to release readiness for the assigned product area without owning sign-off for the whole team. Strong Python proficiency with pytest for test and evaluation automation. Hands-on experience building and orchestrating AI agents and agentic workflows with LangChain, LangGraph, Semantic Kernel, or comparable frameworks. Hands-on experience building AI evaluations and benchmarks with Ragas, DeepEval, promptfoo, or equivalent tools. Hands-on use of Cursor or agentic development tools for test generation and maintenance. Experience defining AI evaluation strategies, golden datasets, regression benchmarks, and LLM-as-judge calibration, including non-determinism and drift. Experience validating deep-learning, reinforcement-learning, and predictive models with LangChain. Experience building AI-assisted STLC workflows for requirements analysis, test design, script generation, execution, self-healing, failure analysis, defect triage, intelligent test selection, and defect prediction. Experience integrating LLMs, APIs, embeddings, vector databases, and retrieval pipelines with automation frameworks in Python. Experience testing REST and streaming APIs, agent tools, RAG workflows, and MCP integrations. Experience testing data and retrieval pipelines for correctness, lineage, and safe promotion. Experience integrating AI evaluation and agent workflows with automation frameworks and CI/CD using GitHub Actions, Allure, TestRail, or equivalent tools. Experience testing AI security, privacy, access control, and guardrails. Experience measuring accuracy, relevance, groundedness, hallucination, retrieval quality, agent reliability, latency, throughput, token use, and cost, and diagnosing distributed failures. Experience with AI tracing, monitoring, and production evaluation using Langfuse, LangSmith, or comparable tools. Familiarity with AWS, Azure, or GCP cloud AI services and agent platforms for deploying and validating AI and ML solutions. Experience deploying and operating agents on Amazon Bedrock AgentCore or a comparable agent platform, with governance and human oversight. Experience managing defects through resolution in Jira or an equivalent tool. Ability to work with domain experts, product, and engineering on ground truth and coverage gaps. Experience contributing to release readiness for an assigned product area. Playwright and TypeScript experience for UI and API automation. Real-device and cross-browser execution using LambdaTest, Sauce Labs, or an equivalent platform. Knowledge of AI-driven test optimization and coverage analytics using SeaLights or an equivalent platform. Experience contributing reusable components to shared automation frameworks and reviewing automation code through Git and GitHub workflows. Experience managing test data and troubleshooting test environments needed for reliable execution. Experience triaging security findings and validating operational readiness, monitoring, rollback, and recovery controls. Experience producing audit-ready evaluation reports and improving shared evaluation patterns, automation libraries, and datasets.

Location: Bengaluru, India We are looking for an experienced Platform Engineer to support the existing AWS infrastructure and contribute to its ongoing modernization and consolidation. The role combines hands-on cloud engineering with a product mindset. We are not looking only for someone who can build or operate infrastructure – we need an engineer who treats the platform as a product and product engineering teams as customers: starting from developer friction rather than a preferred tool, building self-service and golden paths, and proving impact with data. The working schedule is aligned with UK business hours, from 9:00 AM to 5:30 PM UK time. Participation in an on-call rota may be required. This position includes a sign-in bonus. You will contribute to a transformation from team operated infrastructure toward a platform with clear self service capabilities. The platform is run as an internal product: product engineering teams are its customers, and success is measured by developer experience, adoption, reliability, delivery speed and cost. Design and evolve reliable AWS, Kubernetes, Terraform and CI/CD platform capabilities for engineering teams. Understand developer friction through conversations, feedback and data before choosing a technical solution. Build self-service capabilities, golden paths and guardrails that make the right thing easy for engineers. Measure outcomes (e.g. lead time, deployment frequency, reliability, cost) to prioritize work and confirm improvements. Work with product engineering teams to iterate on solutions and drive platform adoption. Balance standardization and controls with usability, so the platform enables teams rather than adding process. Strengthen observability, resilience, security and incident readiness. Take part in incident response, post-incident reviews and the on-call rota. Strong hands on AWS platform engineering experience in production environments. Practical experience with Kubernetes, EKS, Docker, Terraform, and Helm. Strong CI/CD experience, particularly with GitHub Actions and reusable pipeline design. Experience with logging and monitoring, networking and protocols, secrets management, and service discovery. Experience with at least one programming or scripting language. Evidence of designing secure, reliable, and maintainable platform solutions. Experience supporting business critical services, including participation in an on call rota. Experience identifying developer needs and translating them into practical platform improvements. Experience building self service capabilities, reusable workflows, or guardrails adopted by engineering teams. Ability to use data and metrics to prioritize platform improvements and evaluate their impact on developer experience, reliability, delivery speed, or cost. Experience collaborating with engineering teams to gather feedback, iterate on solutions, and drive adoption. Ability to balance standardization, security, and operational controls with developer usability. Experience with Honeycomb, OpenTelemetry, Prometheus or Splunk, including SLO-driven practices. Experience using platform engineering metrics to measure adoption, developer experience and operational outcomes. Pragmatic use of AI-assisted engineering tools to improve quality and productivity.

Tickmill is looking to hire a Business Development Manager who will support the Company in expanding its business operations for multi-asset products in the Turkey region. This role involves prospecting, pitching, negotiating, and managing the onboarding of new affiliates, ensuring they are successfully integrated into the company’s partnership structure. About Tickmill Tickmill is an award-winning, multi-regulated broker offering a wide range of asset classes including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives (Futures & Options). The Tickmill Group was established in 2014 and employs over 280 professionals across offices in London, Cyprus, Estonia, South Africa, and several other regional offices globally. Our philosophy is based on trust, transparency, and diversity, reflected in both our workplace culture and outstanding customer support. Our employees, a multilingual team of highly skilled professionals from around the world, are the backbone of the company. Their dedication enables us to remain among the best in the industry. Tickmill offers a competitive benefits package, team-building events, and strong opportunities for professional growth. What the role looks like? As a Business Development Manager, you will play a key role in expanding the company’s international partnerships and strengthening its presence across Turkish‑speaking and regional markets. This position focuses on strategic relationship development, B2B partnerships, and commercial growth in international environments. You will have the opportunity to: Develop and execute strategic outreach initiatives via direct communication, LinkedIn, email, and industry events to engage prospective partners globally. Build, manage, and optimize a structured partnership pipeline, ensuring timely follow-ups and conversion of qualified leads into long-term business relationships. Develop and maintain a network of partners, including regional representatives, affiliates, and institutional counterparties, in jurisdictions where the company operates in accordance with applicable regulations. Establish and maintain relationships with high-value partners and stakeholders at an international level. Present the company’s value proposition to prospective partners, negotiate commercial terms, and manage the full lifecycle of partnership development. Oversee onboarding processes for new partners, including agreement coordination and alignment with internal teams. Collaborate closely with internal departments to ensure smooth partner integration and ongoing relationship management. Monitor market developments, competitor activity, and industry trends to identify new partnership opportunities. Track and report KPIs such as partner acquisition, engagement metrics, and overall partnership performance. What you will need: Minimum 3 years of experience in Sales, Business Development, or Partnerships within financial services or a related industry. Strong understanding of partnership models, B2B acquisition channels, and commercial relationship management. Proven ability to develop and close partnership deals in fast-paced, competitive environments. Excellent analytical, organizational, and negotiation skills. Fluency in Turkish and English (written and spoken). University degree. Experience working with CRM tools (e.g., HubSpot, Salesforce) for pipeline and performance management. Ability to identify and pursue new business opportunities aligned with the company’s international growth strategy. Willingness to travel and attend industry events when required. By joining us, you can expect: A unique opportunity to build a career in a global, fast-growing company. Opportunities to learn and grow through our Employee Training & Development Program. Birthday and Loyalty benefits. Make your next Career step and apply NOW! * Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.