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Location: Berlin Office; London Office Workplace: Hybrid About The Role Taktile empowers financial institutions to transform into truly AI-native organizations. We’re growing rapidly with enterprise customers across banks and insurance companies, and we’re looking for a Senior Forward Deployed Engineer. If you're passionate about tech and AI, stay up to date on the latest AI developments, and have extensive experience with Python, SQL, REST APIs, you'll thrive here. What You'll Do as Forward Deployed Engineer - Lead complex AI-driven Taktile deployments in production. You own technical delivery across multiple deployments, from scoping high-impact Agentic AI use cases to stable production. - Apply your technical expertise, problem-solving skills and creativity to help organizations address real-world challenges. Your day could include designing solution architectures, developing decision logic and deploying production-grade Generative AI agents, or aligning with key customer stakeholders - all while ensuring an outstanding experience and rapid time to value for Taktile’s customers. - You effectively scope work, sequence delivery, and proactively remove blockers, while making thoughtful trade-offs between scope, speed, and quality to ensure successful and timely project delivery. - Partner with Taktile’s product management team to turn your understanding of customer needs into actionable product insights, directly influencing the evolution of Taktile’s product roadmap. - Develop reusable resources, best practices, and tools to share your expertise and help scale the forward deployed engineering function across the organization. About You - You bring 2+ years of engineering or technical deployment experience that includes customer-facing work. - You have strong technical background, preferred in fields such as Computer Science, Mathematics, Software Engineering, Physics, and Data Science. - You write and review production-grade Python and SQL, and have strong command of REST API design and integrations. - You excel at breaking down complex problems and making quick, well-informed decisions even under pressure. - You build strong relationships with both technical and business stakeholders at all levels, driven by curiosity and a customer-centric mindset that helps you understand their needs and solve their challenges. - You're collaborative, curious, and low-ego- you work well across product, engineering, and GTM teams, and you bring a genuine desire to understand customers' businesses. - You are open to a hybrid work model and can work from our Berlin or London office at least three days per week. Ideal Qualifications (but not required) - You have 1+ years of experience as a Forward Deployed Engineer, Solution Engineer, Implementation Specialist or an equivalent position within a B2B SaaS company. - You have experience in building AI applications within financial services - You have experience in applying and optimizing statistical and machine learning models to solve business problems. - You have experience with at least one of the major cloud platforms (AWS, Azure, GCP). What We Offer - Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here. - Make an impact and meaningfully shape an early-stage company. - Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo. - Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe. - Receive a top-of-market equity and cash compensation package. - Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes. - Use the equipment of your choice including meaningful home office set-up. Our Stance - We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply. - We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears. About Us Taktile enables financial institutions to transform into AI-native organizations that are increasingly powered by autonomous agents. With our modular Agentic Decision Platform, customers combine AI agents, rules, relevant context, and human oversight to safely automate and optimize their decisions—approving more customers, reimbursing claims instantly, stopping fraud before it spreads, and financing every business worth funding. Founded in 2020, Taktile powers millions of decisions daily for institutions including Mercury, Monzo, Faire, and Pleo. With offices in New York, Berlin, London, São Paulo, and Iași, the company has raised $184M from Growth Equity at Goldman Sachs Alternatives, Index Ventures, Tiger Global, Balderton Capital, and Y Combinator. Learn more at taktile.com https://taktile.com. About Your Employment. Taktile operates through regional entities worldwide. Depending on the location of this role, your employment or engagement will be with Taktile LLC (US), Taktile GmbH (Germany), Taktile Ltd (UK), or Taktile SRL (Romania). The applicable entity will be confirmed during the offer process. Your Privacy. Taktile ("we" or "us") is the controller of the personal data you provide during this application process. We collect and process your name, contact details, resume/CV, work history, education, and any other information you submit or that we obtain from publicly available sources or references. How we use your data: We process your personal data to evaluate your candidacy, communicate with you about the recruitment process, comply with legal obligations (such as right-to-work verification), and, with your consent, to consider you for future opportunities. Legal basis (EU/UK applicants): We rely on (i) pre-contractual steps at your request (GDPR/UK GDPR Art. 6(1)(b)), (ii) legal obligations (Art. 6(1)(c)), and (iii) our legitimate interest in evaluating candidates (Art. 6(1)(f)). Retention: If your application is unsuccessful, we retain your data for 12 months after the recruitment process concludes, unless you consent to longer retention. Successful candidates' data becomes part of their employment records. Your rights: Depending on your location, you may have the right to access, correct, delete, or restrict the processing of your personal data, to data portability, and to withdraw consent. California residents have additional rights under the CCPA, including the right to know, delete, and correct personal information. Automated decision-making: We use automated tools to assist in screening applications. No hiring decision is made solely by automated means without human review. International transfers: Your data may be transferred to and processed in the United States, Germany, the United Kingdom, or Romania. Where required, transfers are protected by Standard Contractual Clauses or other approved mechanisms. By submitting your application, you acknowledge that you have read and understood Taktile's Applicant Privacy Policy https://taktile.com/legal/applicant-privacy-policy. To exercise your rights or ask questions, contact privacy@taktile.com.

Задачи: — Проектирование и поддержка масштабируемых и отказоустойчивых серверных решений — Внедрение и развитие практик надежности и доступности — Диагностика и оптимизация серверного кода и баз данных — Обеспечение своевременных решений для проблем в продуктивной среде — Работа в небольшой команде, где backend-разработчики участвуют в обсуждениях игрового дизайна и влияют на принятие решений Требования: — Опыт коммерческой разработки 5+ лет — Продуктовый подход с опытом работы над функциями, ориентированными на игроков, сотрудничество с продуктовыми командами и ответственность за функции от дизайна до продакшена — Глубокие знания .NET, C#, ASP.NET Core — Опыт работы с реляционными базами данных (MySQL, PostgreSQL и др.) — Опыт с системами кэширования и технологиями обмена сообщениями (Redis, Memcached, Kafka, RabbitMQ и др.) — Понимание принципов хорошей архитектуры приложений — Опыт работы с высокими нагрузками (мультиплеерные игровые сессии, карты мира, LiveOps) — Опыт работы с облачными платформами (AWS, Azure и др.) — Понимание принципов DDD — Владение русским языком Условия: — Медицинская программа (включая стоматологию) или компенсация медицинских расходов, доступная в любом месте работы — Медицинская программа для членов семьи при работе в офисах в Кипре, Армении и Казахстане — Оплачиваемый отпуск и больничные — Возможность работать в офисах в официальных локациях или удаленно — Спортивные активности (йога, футбол, волейбол) в официальных локациях — Пакет поддержки при релокации в официальные локации — Курсы английского языка онлайн, уроки греческого и армянского для сотрудников в Кипре и Армении — Участие в гейм-джемах, хакатонах, конференциях и митапах — Поддержка социальных инициатив и участие в благотворительных проектах Формат работы: в офисах компании в Кипре, Армении и Казахстане или удаленно.

Location: USA - Austin (dbt) From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. Customer Solutions Architect About the role The Customer Solutions Architect (CSA) is the primary post-sales technical owner for our existing customers, helping them get the most value from the combined Fivetran and dbt platform. Working alongside Account Executives (AEs) and Solutions Engineers (SEs), the CSA makes sure customers not only deploy successfully, but keep scaling and expanding their usage over time. This role operates as a technical account manager and strategic advisor, bridging the gap between onboarding success and long-term growth. The CSA owns the technical narrative after go-live: monitoring an existing book of business, leading technical discussions, uncovering new data challenges, and guiding customers through architecture evolution, adoption, and expansion through live demos and technical workshops. Unlike implementation-focused roles, the CSA is accountable for both retention and growth, and is measured on incremental ARR, Net Revenue Retention (NRR), and Gross Revenue Retention (GRR). You will act as a trusted advisor, advocate, and accelerator, ensuring customers derive maximum value from their data investments while aligning their technical roadmap with the platform's capabilities. Location: Austin, TX (hybrid). This is a full-time position, and candidates must be located in greater Austin area and able to work in the office two days a week (Tuesday and Thursday). What you'll do Product Adoption and Customer Value Realization Own post-sales technical engagement across a portfolio of assigned Commercial and Enterprise accounts Drive adoption, optimization, and ongoing usage of the platform, moving customers after initial deployment to sustained, scalable success Educate customers on new products and features as they launch, and on existing capabilities they may not be using Deliver enablement sessions, workshops, and best-practice guidance Monitor account health signals (usage, performance, support trends) and proactively intervene to address churn or contraction risks, including running implementation reviews and healthcheck sessions Expansion and Growth Identify, validate, and execute expansion opportunities across business units, regions, and use cases, including opportunities to bring both Fivetran and dbt into an account Translate customer initiatives into scalable data workloads and technical solutions Partner with account teams to drive incremental ARR through expansion plays. Replicate successful use cases across the organization to accelerate growth Provide strategic input on the customer lifecycle and renewals process Technical Strategy and Architecture Define and maintain Enterprise Reference Architectures aligned to customer environments, ensuring architectural consistency and scalability across implementations Guide customers on best practices for data pipelines, transformation, automation, and platform adoption Maintain technical artifacts such as architecture documentation, design patterns, and knowledge bases Stakeholder Engagement and Account Planning Build and maintain strong relationships with technical, operational, and executive stakeholders, using stakeholder maps and multi-threaded engagement strategies Run regular technical cadence calls, business reviews, and roadmap sessions Contribute to Mutual Account Plans and own Mutual Success Plans, mapping whitespace opportunities across business units, subsidiaries, and use cases Align customer technical strategy with business objectives and commercial plans Internal and Partner Collaboration Act as the technical orchestrator across Sales, Professional Services, Product, and Engineering, keeping delivery teams aligned with long-term expansion strategy Advocate for customer needs internally, influencing the product roadmap and priorities Collaborate with technology partners (e.g., Snowflake, Databricks, AWS, GCP) to drive joint value Help improve team processes, refine assets, and enable teammates through our knowledge-sharing loop Thought Leadership Contribute to and deliver external-facing content through live events, speaking engagements, blog posts, recorded tutorials, or other educational resources Work closely with Regional and Product Marketing teams to support field and industry events Support senior leadership in aligning field and industry requirements with the product roadmap, collaborating with Product and Product Marketing under their guidance. What you bring 2+ years of experience in a post-sales, customer-facing technical role, such as Solution Architect, Technical Account Manager, or Customer Success Engineer Strong ability to own and drive customer outcomes after the sale, including adoption, renewal, and expansion Solid technical background, with experience designing scalable data architectures, a firm understanding of modern data warehousing and the analytics stack, and SQL proficiency Ability to translate business objectives into technical solutions and measurable outcomes Strong stakeholder management skills across technical and non-technical audiences, and a high degree of comfort presenting to diverse audiences A proactive, self-sufficient, and highly organized approach to managing multiple accounts Comfort operating strategically while also engaging in deep technical discussions Ability to operate in an ambiguous, fast-paced environment and think on your feet in customer conversations A team-player mindset, both within the CSA team as we evolve our ways of working and in daily collaboration with AEs and SEs Openness to travel: we value in-person relationship building, both internally and externally, and expect willingness to travel to events as needed What Will Make You Stand Out Hands-on experience with dbt and/or Fivetran; dbt certification is a bonus SQL knowledge, with a working understanding of AI architecture, including LLMs, Knowledge Graphs, and RAG Experience with cloud data platforms (Snowflake, Databricks, AWS, Azure, GCP) Background in data integration, ETL/ELT, or replication technologies, plus experience with ancillary tools, APIs, and managing data infrastructure Experience with workload-based or consumption-based sales models Familiarity with enterprise architecture frameworks and design patterns Experience working with system integrators or technology partners Technologies You’ll Use Databases: SAP HANA, Oracle, SQL Server, Postgres Data platforms: Snowflake, Databricks, BigQuery, Redshift Products: Fivetran, dbt platform Languages: SQL, Python, bash or PowerShell Networking: SSH tunneling, VPNs, PrivateLink Modern data stack tools and ecosystem technologies Hiring Process Interview with Talent Acquisition Partner Interview with Hiring Manager Technical Interview Team Interview Final Interview: Mock Demo Compensation & Benefits The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. For this role, on-target earnings (OTE) are split 80% base salary and 20% variable compensation. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. OTE (On Target Earning) $155,000 — $175,000 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Massachusetts, New York, New Jersey, Georgia, North Carolina, Washington DC At Reltio®, an SAP Company, we believe data should fuel your success in the enterprise AI era. Our  Context Intelligence Platform turns fragmented data into a trusted, connected context so AI agents and systems can act with expert-level judgement at enterprise scale. Reltio’s cloud-native SaaS platform harmonizes, unifies, and governs data across sources and formats—including unstructured data—in real time, turning them into data assets that can be mobilized in milliseconds to any application, user, or AI agent. Trusted by more than 200 of the world’s largest brands across industries such as life sciences, financial services, healthcare, and technology, we fuel frictionless operations and help enterprises accelerate  innovation and reduce risk. At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence. Reltio has earned numerous awards and industry and analyst recognition for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk! Job Summary The Solutions Consultant at Reltio plays a pivotal role in the sales process, partnering with Account Executives to understand prospective customers' business challenges and to articulate the value of Reltio's cutting-edge data unification and AI-driven solutions. This individual will be responsible for developing and delivering compelling presentations and demonstrations, designing tailored solution architectures, and acting as a trusted technical advisor to prospects. The ideal candidate is passionate about data, possesses strong communication and presentation skills, and thrives in a fast-paced, innovative environment. Key Responsibilities: Collaborate with the sales team to identify and qualify sales opportunities, understanding customer needs and business objectives related to data unification and AI. Develop and deliver engaging, customized product demonstrations and presentations that effectively showcase Reltio's value proposition. Design and propose high-level solution architectures that address specific customer requirements and integrate with their existing technology landscape. Develop and deliver highly customized, compelling product demonstrations and proof-of-concept (POC) engagements that showcase differentiated value. Respond to technical questions and objections from prospective & existing customers, providing clear and concise explanations. Lead and manage technical aspects of Request for Proposals (RFPs) and Request for Information (RFIs). Build and maintain strong relationships with technical stakeholders and decision-makers within prospect/customer organizations. Stay current with industry trends, competitive landscape, and Reltio's product advancements in data unification and AI. Provide feedback from the field to Product Management and Engineering teams to contribute to product enhancement and innovation. Assist in the creation of sales tools, best practices, and re-usable assets for the pre-sales organization. Support marketing events, including trade shows and webinars, by delivering presentations and demonstrations. Requirements Required Experience/Skills/Education/Abilities: Minimum 3 years of experience in pre-sales, solutions consulting, or a similar customer-facing technical role within the enterprise software industry. Demonstrable understanding of enterprise data challenges, data integration concepts, and the value of data unification. Proven ability to articulate complex technical concepts to both technical and non-technical audiences. Excellent presentation, communication (written and verbal), and interpersonal skills. Strong problem-solving skills and the ability to think strategically and analytically. Experience with enterprise software sales cycles and methodologies. Bachelor's degree in Computer Science, Information Technology, Engineering, Business, or a related field. Ability to travel to customer locations as needed. Desired Experience/Skills/Education/Abilities: Experience with SaaS solutions, cloud architectures, and data platforms. Familiarity with AI/ML concepts and their application in data management or business intelligence. Hands-on experience with AWS, Google Cloud Platform (GCP), or Microsoft Azure. Knowledge of specific industry verticals (e.g., Life Sciences, Healthcare, Financial Services, CPG/Retail) Experience with data modeling, ETL processes, or API integrations. At Reltio, we carefully consider a wide range of compensation factors to determine your personal top of market. We rely on market indicators to determine compensation and your specific job family, background, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location. Overall Market Range $184,000 — $248,000 USD Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.

Location: Seattle, WA Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about finding innovative solutions to complex technical problems , running countless experiments (300+ at a time!) with our massive user base to make data-driven decisions, and educating our users and employees alike. You’ll have limitless learning opportunities, mentorship and collaboration with world-class minds, and a variety of projects with large scopes — while doing work that’s both fun and meaningful. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. About the role... This is a high-impact, high-visibility Staff TPM role at the center of one of Duolingo's most strategic engineering initiatives: dramatically reducing the effort required to get results and doubling developer productivity across the organization. You'll lead this initiative in close partnership with the Developer Amplification (DevAmp) Area, a team dedicated to accelerating how engineers work through better tooling, streamlined processes, and modern engineering practices. AI is one important lever — but the goal is the outcome: step-change improvements in how fast and effectively Duolingo engineers can build. This role is for a builder and a change agent: someone who can define what "doubling productivity" means in practice, align leadership and engineering teams around it, and drive the transformation to completion. If you thrive in ambiguity, have a bias for outcomes, and can bring people along through significant organizational change, this role is for you. 🧠  You will... Define and drive the roadmap for doubling developer productivity across Duolingo — aligning engineering, product, and data science around a shared vision, sequencing the work, and holding teams accountable to measurable outcomes. Lead organizational change management as engineering teams adopt new ways of working — building alignment, communicating progress to executives and ICs alike, and helping teams internalize new processes and tooling. Partner closely with Developer Amplification (DevAmp) Area leads to accelerate developer productivity through AI-powered tooling, ensuring programs have clear goals, measurable impact, and sustained momentum across engineering squads. Lead the delivery of strategic, high-impact cross-functional initiatives from conceptualization to launch, operating with significant autonomy across multiple workstreams. Partner with engineering, product, data science, QA, and executive leadership to ensure communication and alignment; serve as the connective tissue between Duolingo strategy and day-to-day execution. Leverage deep technical expertise to develop detailed plans with key milestones and goals, identify and mitigate risks, resolve dependencies, remove blockers, and ensure timely and smooth launches. Establish and evangelize engineering practices that drive step-change improvements in developer productivity — coaching engineering leads and TPMs on new ways of working and how to measure their impact. Drive decisions when difficult tradeoffs must be made, including those with cross-organizational or company-level impact; model how to navigate hard problems with analytical rigor and a calm, decisive presence. Identify systemic issues impacting delivery efficiency company-wide and take swift, collaborative action to resolve them. Guide and develop other TPMs and engineering leads, scaling best practices across teams and continuously improving how the organization operates. ✅  You have... Proven experience as a TPM, Engineering Lead, or Engineering Manager. B.S. or M.S. in Computer Science or equivalent degree or experience. Demonstrated experience leading large-scale technical transformation programs with measurable organizational impact — you've shifted how engineering organizations think and work, not just shipped projects. Strong executive presence and influence in a matrix environment — able to build conviction among skeptics, align competing priorities across senior leadership, and drive decisions without direct authority. Deep technical credibility — enough to challenge architectural assumptions, spot delivery risks early, and earn the trust of strong engineers. Proven ability to build and implement detailed plans that account for ambiguity, dependencies, and technical complexity — and to re-plan quickly when things change, without losing team confidence or momentum. A track record of standing up new programs or practices from scratch in ambiguous, high-visibility environments. Ability to relocate to Seattle, WA. ⭐  Exceptional candidates will have... Strong knowledge of software engineering, systems engineering, or similar hands-on technical experience, in addition to program management experience. Strong conceptual fluency in LLM-based products, AI infrastructure, and developer AI tooling - enough to ask the right questions, challenge technical assumptions, and identify delivery risks. Experience running programs that include machine learning, large datasets, or AI/ML infrastructure. Experience working with AWS at scale. The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your recruiter for more information related to compensation for this role! Salary Range: $181,600 — $272,400 USD Benefits: Take a peek at how we care for our employees' holistic well-being with our benefits here . Job Alerts: Sign up for job alerts here . Accommodations: We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com . Equal Employment Opportunity: Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Fraud Warning: Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information. By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice .

Location: Bulgaria; Croatia; Cyprus; Estonia; Finland; Greece; Hungary; Ireland; Latvia; Lithuania; Malta; Moldova; Montenegro; North Macedonia; Poland; Romania; Slovakia; Slovenia; Sweden; Ukraine Why the Kubernetes Automation Domain? Kubernetes Automation is Cast AI's core: a family of product teams that turns optimization into real infrastructure. Together, they own the full loop — deciding which nodes to run and where, provisioning them across EKS, GKE, AKS, and our own Cast AI Anywhere, optimizing the workloads on top, and reshaping it all continuously as conditions change. No manual tuning: automation makes the call and makes it happen. The scale is the point. When demand spikes, the platform brings up 15,000 nodes in a single cluster and gets every pod scheduled in under 45 minutes — and tears a cluster of that size back down in under 15 minutes — across multiple clouds at once, mixing instance types and spot capacity in a single operation. Across a fleet of thousands of customer clusters, our teams make the same high-stakes Kubernetes decisions — add this node, drain that one, move that workload, is this change safe — thousands of times a day, and each one has to land cleanly. The problems sit at the intersection of Kubernetes internals and cloud-provider behavior, and much of the territory is undocumented. One team might be writing scaling algorithms, another reverse-engineering managed control planes, another migrating running containers between nodes without disruption. The common thread: deep Kubernetes knowledge, strong infrastructure fundamentals, and the judgment to own high-stakes automation in production. If you have that, you can lead any of these teams — you'll be matched with the team that best fits your strengths and interests during the hiring process. Role overview We are looking for a hands-on Engineering Manager to join one of our Kubernetes Automation teams. It is a hybrid role: you will manage a team and spend at least half your time in the product code. Responsibilities as an Engineering Manager You own product development execution. Lead, mentor, and grow a team of talented software engineers Collaborate closely with the Product Owner and stakeholders to align on requirements and roadmaps Ensure quality, scalability, and resilience in all deliverables Foster a culture of continuous improvement, innovation, and technical excellence Be the role model and champion of Cast AI core values Responsibilities as a Software Engineer You will work in a highly skilled team across the full development lifecycle. Take on scaling challenges at fleet level Participate in feature brainstorming, requirement gathering, and solving customer needs Design and architect software for scalability, maintainability, and performance Write clean, maintainable, documented code using best practices Ensure reliability through test coverage and local testing Contribute to CI/CD pipelines and the monitoring and alerting stack Respond to incidents to resolve customer issues or service disruptions Support the team's code (on-call week every few months) Requirements Proven experience managing and leading a technical team Strong software engineering skills Strong verbal and written communication skills In-depth knowledge of Kubernetes and experience managing multi-cloud environments (AWS, GCP, Azure) Knowledge of cloud-native infrastructure, APIs, and cloud-provider-specific implementation differences Hands-on experience with IaC tools such as Terraform Proficient in designing and managing CI/CD pipelines (GitLab CI, ArgoCD) with a GitOps approach Strong analytical, problem-solving, and troubleshooting skills What's in it for you? Competitive salary (up to €10,000 gross, depending on the level of experience) Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Equity options. Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development – including access to international conferences and courses that elevate your skills. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. Why Cast AI? Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production. The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don't. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation. Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS. Global team, diverse perspectives We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. Unicorn momentum In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started. Join us as we build the future of autonomous infrastructure. This is a location-specific opportunity, we hire from: Bulgaria, Croatia, Cyprus; Estonia, Finland, Greece, Hungary, Ireland, Latvia, Lithuania, Malta, Moldova, Montenegro, North Macedonia, Poland, Romania, Slovakia, Slovenia, Sweden and Ukraine. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive *As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. *Please note that Cast AI does not provide any form of visa sponsorship/work permit.

Location: London 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? 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 UiPath’s Intelligence Document Processing drives understanding of the documents and messages on which a business runs: invoices, claims, contracts, customer emails. We use frontier LLMs to turn all of that into structured data that automations and AI agents can act on. You'll be building the product that does it: the ingestion and extraction pipelines, the APIs customers build their operations on top of, and the systems that make those models useful, fast and trustworthy at enterprise scale. Increasingly that work is agentic. What you build is what lets AI agents ingest, understand, retrieve and reason over enterprise documents at volume, without giving up accuracy, security or governance. It's a product engineering role with complex systems and LLM-in-production problems underneath it. The same service handles a customer's first ten documents and another's ten million, runs in our cloud and inside a bank's own air-gapped datacentre, and has to be good enough that a business will act on its output. Knowing how well the models are actually doing, and what to do when the answer is "not well enough", is a large part of the job. You'll write in several languages here, and pick up new ones as the problem demands. We care much more about how you think than about what you've written it in. We're looking for someone who loves building things, learns fast, and wants to own product outcomes rather than tickets.   WHAT YOU'LL DO AT UIPATH - Work with engineers, product managers and customers to design, build and operate the AI systems behind UiPath's document processing products. - Build across the pipeline: ingestion, parsing and extraction, indexing and retrieval, and the evaluation that tells us any of it is working. - Take features from idea to production and stay with them, measuring whether they actually worked, and improving them when they didn't. - Solve genuinely hard problems in concurrency, latency and distributed systems, so the platform holds up under high-volume production workloads. - Build for environments we don't control: multi-cloud, on-premises, air-gapped, and under strict security and compliance requirements. - Use coding agents as a serious part of your toolkit, and help the team get better at it. Where to trust them, where not to, and how to keep quality high as the tooling changes underneath us. - Work with teams across UiPath and across locations to innovate and build best-in-class document processing, and occasionally with customers directly. Because the fastest way to understand a product is to watch someone use it. - Contribute to our engineering culture: mentor, review, hire, and push back when something isn't good enough.   WHAT YOU'LL BRING TO THE TEAM - A solid track record (5+ years) building and operating large-scale commercial services that real customers depend on. - Strong programming ability and the confidence to pick up whatever language a problem calls for. You'll meet Python, Rust and C# here, but we don't expect you to arrive knowing them all. - Real-world experience with cloud platforms (Azure, AWS or GCP) and containerised deployment on Kubernetes. You understand how production systems get shipped, monitored and scaled, not just written. - Comfort with data at scale: SQL, and the trade-offs between different storage and search systems. - Experience working with coding agents, and opinions about them, What responsible use looks like, where they earn their keep and where they cost you, and how you keep evaluating them in an ecosystem that changes every few months. - An appreciation for tools that catch bugs before runtime — type systems, tests, and designs that make bad states unrepresentable. Especially in the age of coding agents. - A pragmatic grasp of computer science fundamentals. We care about solving real problems with the right data structure, not reciting one from a textbook. - Experience shipping LLM-backed products to production is a strong plus: prompting, evaluation, and everything else that turns a model into a feature people will trust. - Familiarity with document processing is a plus: OCR, layout, and the messy reality of documents as they actually arrive. - An opinion on what makes good code and good architecture, and the ability to argue it, including against us. - You're a builder and a problem-solver at heart. 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: Europe Workplace: Remote About Eneba   At Eneba, we’re building an open, safe and sustainable marketplace for the gamers of today and tomorrow. Our marketplace supports close to 20m+ active users (and growing fast!), provides a level of trust, safety and market accessibility unparalleled to none. We’re proud of what we’ve accomplished in such a short time and look forward to sharing this journey with you. Join us as we continue to scale, diversify our portfolio, and grow with the evolving community of gamers.    About the team   We're a Data team. We gather specialists passionate about data, our mission is to help grow Eneba organization as a data driven decision maker by providing a solid data foundation. We want to foster a healthy data culture across organizations and enable our colleagues to have easier access to necessary data that they require in their day-to-day activities. Our team gathered ML experts who are creating amazing machine learning models. Data analysts provide crucial data insights for teams and data engineers who build cutting edge data pipeline solutions. Responsibilities - Enable efficient data access by creating and maintaining data pipelines. - Collaborate with ML engineers to design and maintain automation for machine learning training, quality assessment, and model release process. - Build data infrastructure from the vast amount of data for analytics, hypothesis testing and company metrics. - Identify, design and implement improvement to internal processes allowing to optimize data delivery, automate manual processes. - Design new and improve current patterns for building data models and implement necessary modifications. Requirements - 5+ years of experience in data engineering or in a similar role. - Extensive experience with Apache Spark using Python for large-scale data processing. - Familiarity with Databricks or similar cloud data platforms (such as Snowflake) would be a significant advantage. - Experience with AWS, Azure, or other Kubernetes platforms is a huge plus. - Must have hands-on expertise with Git for version control and collaboration. - Solid knowledge of SQL, essential for querying and managing relational databases. Salary ranges: 55000-72 000 eur gross annually What it’s like to work at Eneba   *Opportunity to join our Employee Stock Options program. *Opportunity to help scale a unique product.  *Various bonus systems: performance-based, referral, additional paid leave, personal learning budget. *Paid volunteering opportunities. *Work location of your choice: office, remote, opportunity to work and travel. *Personal and professional growth at an exponential rate supported by well-defined feedback and promotion processes.    *Please attach CV's in English. *To find out about how we handle your personal data, make sure to check out our Candidate Privacy Notice https://www.eneba.com/candidate-privacy-notice

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level and live longer through a deeper understanding of their bodies and daily lives. Protecting our members’ data and ensuring our systems scale securely and reliably is core to this mission.   WHOOP is hiring a Software Engineer II focused on backend development to build and enhance systems that power our platform. This role will directly contribute to delivering scalable and secure services that support millions of members worldwide. While backend development expertise is the primary focus, familiarity with cybersecurity concepts (data privacy, AuthN/AuthZ, etc) or cloud infrastructure concepts (AWS, IaC, Kubernetes, etc) will be considered a strong plus.   This is a top-funnel role: depending on your background and interests, you may align more closely with our Product Security team (focused on secure-by-default guardrails, compliance, and data privacy) or our Application Infrastructure team (focused on scalability, reliability, and developer enablement). Either way, you’ll have the opportunity to shape core platform practices and help WHOOP grow to the next level. RESPONSIBILITIES: - Design, develop, and maintain robust, scalable backend systems that power WHOOP’s core infrastructure and member experience. - Collaborate with product managers, data engineers, frontend developers, and other cross-functional partners to deliver features that enhance member engagement. - Build and maintain APIs to enable seamless integration with frontend applications and third-party services. - Ensure system reliability, scalability, and performance through effective testing, monitoring, and optimization. - Implement secure coding practices and contribute to designing systems that safeguard member data. - Stay current with backend technologies and contribute to improving team engineering standards and best practices. QUALIFICATIONS: - 2-4 years of backend software development experience, ideally in languages like Java, Python, or C#. - Experience designing and building RESTful APIs and microservices. - Exposure to event-driven architecture (messaging/streaming tech such as Kafka, RabbitMQ). - Familiarity with database design and management (e.g., PostgreSQL, MySQL, or NoSQL databases). - Understanding of cloud infrastructure (AWS, GCP, or Azure). - Familiarity with cybersecurity principles (data privacy, authentication, and authorization) is a plus but not required. - Strong problem-solving skills and ability to work in a fast-paced environment. - Good communication skills and ability to collaborate across teams. BONUS QUALIFICATIONS: - - Experience working with infrastructure as code and developer enablement platforms. - Familiarity with containers and orchestration (e.g., Docker, Kubernetes). - Background in cloud security or incident response. - Exposure to building translation or localization platforms to support multi-language content delivery. - Hands-on experience with observability tools (logging, monitoring, alerting) in production environments. ABOUT YOU - You thrive on ownership and want to shape the foundation of WHOOP’s platform. - You automate everything you can, always seeking to replace manual work with scalable tooling. - You enjoy working cross-functionally and can communicate complex infrastructure and security topics clearly. - You believe reliability, security, and visibility are just as important as speed and scale. Learn more about our engineering teams and how to be successful in your engineering career at WHOOP via our Career Framework https://engineering.prod.whoop.com/careerframework.   This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP http://apply.whoop/ is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $125,000 - $175,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.    In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Задачи: — Проектировать, строить и поддерживать масштабируемую и надежную инфраструктуру баз данных для нескольких игровых продуктовых команд. — Развивать и эксплуатировать среды PostgreSQL, обеспечивая стабильность, производительность, отказоустойчивость и экономическую эффективность. — Участвовать в архитектурных улучшениях и миграциях, включая управляемые и самостоятельные решения баз данных. — Работать с задачами масштабирования и высоконагруженными производственными средами. — Анализировать и оптимизировать затраты на инфраструктуру, включая оценку компромиссов между управляемыми и самостоятельными решениями. — Автоматизировать операции с базами данных и развертывание сред с использованием Infrastructure as Code и скриптовых инструментов. — Поддерживать и улучшать существующие решения с PostgreSQL, MySQL, AWS RDS, ElastiCache и MemoryDB. — Обрабатывать инциденты и сложные производственные случаи совместно с продуктовыми и инфраструктурными командами. — Тесно сотрудничать с командами разработки для понимания их потребностей и снижения операционной нагрузки при работе с инфраструктурой данных. — Вносить вклад в надежность, безопасность и лучшие практики в базе данных компании. Требования: — Практический опыт автоматизации и инструментов Infrastructure as Code, таких как Terraform, Ansible, Puppet, SaltStack или аналогичных. — Опыт эксплуатации stateful-сервисов в Kubernetes. — Экспертиза в PostgreSQL: архитектура, настройка, репликация, обслуживание и эксплуатация. — Опыт работы в роли администратора баз данных, инженера надежности баз данных или инженера инфраструктуры с производственными базами данных. — Практический опыт работы с облачными средами и управляемыми решениями баз данных. — Опыт работы с высоконагруженными системами и оптимизацией производительности. — Опыт работы с CI/CD пайплайнами и скриптами на Bash или Python. — Хорошее понимание компромиссов между производительностью, надежностью, масштабируемостью и стоимостью инфраструктуры. — Продуктово-ориентированный подход: забота об удобстве использования, опыте разработчиков и автоматизации. — Сильные коммуникативные навыки и способность эффективно работать с распределенными продуктовыми командами. Желательно: — Опыт работы с Redis и Kafka. — Опыт миграции между управляемыми и самостоятельными решениями баз данных. — Опыт нагрузочного тестирования и сравнительного анализа технологий и архитектур баз данных. Условия: — Медицинская программа (включая стоматологию) или компенсация медицинских расходов, доступная в любом месте работы. — Медицинская программа для членов семьи при работе в офисах в Кипре, Армении и Казахстане. — Оплачиваемый отпуск и больничные. — Возможность работать в офисах в официальных локациях или удаленно. — Спортивные активности (йога, футбол, волейбол) в официальных локациях. — Пакет поддержки при релокации в официальные локации. — Курсы английского языка онлайн, уроки греческого и армянского для сотрудников в Кипре и Армении. — Участие в гейм-джемах, хакатонах, конференциях и митапах в качестве спикеров. — Поддержка социальных инициатив сотрудников и участие в благотворительных проектах. Формат работы: в офисах компании в Кипре, Армении и Казахстане или удаленно.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level and live longer through a deeper understanding of their bodies and daily lives. Protecting our members’ data and ensuring our systems scale securely and reliably is core to this mission.   The Application Infrastructure team enables iOS, Android, Backend, and Web engineers to reliably and quickly deliver new features to members. We own and operate critical shared infrastructure, including Kubernetes and Kafka, and build the tooling and guardrails that allow teams across WHOOP to ship safely at high velocity.   As a Senior Platform Engineer on the AppInfra team, you will play a key role in driving large-scale architecture projects, collaborating with cross-functional teams to design and implement infrastructure that is highly scalable, resilient, and secure. You will build systems that help increase the safety of deployments to Kubernetes while also increasing the velocity of releasing new features. You will be responsible for ensuring optimal performance and stability for the entire software delivery pipeline. You will help set the direction of the AppInfra team to impact engineers across all WHOOP technology stacks.   RESPONSIBILITIES - Design, develop, and operate WHOOP’s Kubernetes clusters running on AWS infrastructure - Drive architectural decisions to improve scalability, resiliency, performance, and security across the build and deployment platform - Build systems and tooling that increase deployment safety and accelerate release velocity to Kubernetes - Advance CI/CD capabilities to support frequent, reliable production deployments - Lead developer productivity improvements through tooling, automation, and platform integrations - Partner with application, security, and data teams to embed secure-by-default infrastructure practices - Participate in incident response, root cause analysis, and postmortems to continuously improve platform reliability - Mentor and provide technical leadership to engineers on the Application Infrastructure team - Help define and execute the long-term roadmap for infrastructure and Kubernetes management at WHOOP QUALIFICATIONS: - 5+ years of experience in DevOps, Platform, Site Reliability, CloudEngineering, or Backend Software Engineering roles - Deep understanding of Kubernetes architecture and core components - Strong knowledge of container networking concepts, including overlay networking, service meshes, and network policies - Experience with multi-cluster Kubernetes environments and inter-cluster communication patterns - Hands-on experience operating cloud infrastructure, preferably in AWS (e.g., IAM, VPC, EC2, S3, RDS, CloudTrail, Organizations) - Hands-on experience with Infrastructure as Code tools (e.g. Terraform) - Experience developing backend or infrastructure-adjacent services using Java, C#, or Python - Proven ability to evaluate system performance, identify bottlenecks, and use data to drive improvements - Experience collaborating with multiple stakeholders and prioritizing work for maximum business impact BONUS QUALIFICATIONS: - Experience operating Kafka or other large-scale distributed systems - Experience with Kubernetes security best practices, including RBAC, secrets management, and pod security standards - Exposure to service reliability practices such as SLOs, SLIs, and error budgets - Prior experience supporting compliance or security-focused infrastructure initiatives ABOUT YOU: - You bring a security-first mindset to everything you build and operate - You enjoy working on infrastructure that enables hundreds of engineers to move faster - You’re comfortable operating in complex, high-scale production environments - You enjoy teaching, mentoring, and raising the technical bar for those around you - You’re curious, adaptable, and excited to learn across a wide range of systems and technologies Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework https://engineering.prod.whoop.com/careerframework.   This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility.  It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $150,000 - $215,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.    In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: Worldwide IMPORTANT NOTE: If you have already passed the 20four7VA Recruitment Process after the Final Interview, or you have been hired by a 20four7VA Client before, make sure that you are applying via the 20four7VA Team Portal , for faster processing of your application. You will be logging in using your 20four7VA email address. If you have just logged in to the Team Portal, please continue reviewing the Job Description below. If you have just logged in to the Team Portal, please continue reviewing the Job Description below. You don't need to type all the information in the application form, upload your resume first and see the magic! If you are interested in the job, click APPLY TO POSITION. ******************************************************************** Job Description: Java Developer Client: 20four7VA Experience: Minimum 2.5 years of relevant experience Client Time Zone: EST Hours/Week: 20 hrs to start with Shift Time Zone: EST morning preferred, Flexible shift during weekends Candidates applying for the Java Developer post should have the following at least in their resumes (and other skills are secondary): Strong knowledge of Core Java: Proficient in Java SE with a solid understanding of object-oriented programming principles. Experience with Java 8+ features, such as lambdas and streams. JSP, Servlets ( MUST ): Skilled in JavaServer Pages (JSP) and Servlets for web application development. Understanding of the MVC (Model-View-Controller) design pattern. At least one framework idea: Experience with popular Java frameworks such as Spring, Spring Boot, Hibernate, or Struts. Understanding of dependency injection and aspect-oriented programming in Spring. JavaScript (JS): Basic to intermediate knowledge of JavaScript for enhancing web applications. Familiarity with modern JS frameworks/libraries like React, Angular, or Vue.js is a plus. CSS Basics: Basic understanding of Cascading Style Sheets (CSS) for web design and styling. Ability to work with CSS preprocessors like SASS or LESS is a plus. Worked on Desktop Apps & Web-based projects (MUST): Hands-on experience in developing and deploying desktop & web-based applications for Windows, MAC & Linux. Knowledge of RESTful web services and APIs. Worked on any of the following IDEs: Proficiency in using integrated development environments such as NetBeans, Eclipse, or IntelliJ IDEA (preferred). Familiarity with IDE plugins and tools for enhanced productivity. Additional Skills (preferred but not mandatory): Database Management: Experience with SQL databases like MySQL, PostgreSQL, or Oracle. Knowledge of ORM tools like Hibernate. Version Control: Proficiency in version control systems like Git and platforms like GitHub or Bitbucket. DevOps: Familiarity with continuous integration/continuous deployment (CI/CD) pipelines using Jenkins, CircleCI, or GitLab CI. Experience with containerization tools like Docker and orchestration platforms like Kubernetes. Understanding of cloud services like AWS, Google Cloud Platform (GCP), or Microsoft Azure. Testing: Experience with unit testing frameworks such as JUnit or TestNG. Knowledge of test automation tools like Selenium is a plus. Employee Onus: Must follow instructions of Senior Team Team Player Knowledge in Core Java ( OOP ) Work with honesty & integrity Want to work with this amazing client? Apply now and join 20four7VA! Join the remote world, today. What we offer: Competitive rates Weekly payments Annual rate increase (based on performance) Paid time off Paid holidays Various open roles are available Free training and upskilling Constant support and guidance from managers and mentors Clear schedules and guidelines A vibrant community always ready to support you And more!

Location: Aarhus 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 our 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 join a quantitative development function that works closely with Researchers, Traders and Cloud Engineering teams to build applications, data pipelines and analytics that support research and trading workflows. The role combines software engineering, quantitative development and data engineering, with responsibility for developing production applications, supporting research infrastructure and integrating large scale datasets. Your future role within QRT Design, develop, deploy and maintain cloud native Python applications supporting research and trading workflows, including market data dashboards, risk analytics, profit and loss reporting, weather analytics and performance analysis Develop quantitative tools including backtesting frameworks, optimisation tools, pricing libraries and ETL pipelines for integrating and validating alternative datasets Build and maintain scalable data pipelines that support model development and production workflows Monitor, support, debug and enhance existing research and trading infrastructure Work closely with Researchers, Traders and Engineering teams to deliver production quality solutions that meet evolving business requirements Provide support for traders and production trading systems as part of a support model that provides continuous coverage across global markets. Your present skillset At least three years of professional Python development experience Strong knowledge of Python, including numerical libraries such as NumPy, Pandas, Polars and Xarray Strong quantitative mindset with an interest in working closely with trading and research functions Experience developing user interfaces or an interest in building data visualisation applications such as Plotly, Dash or Streamlit is beneficial Experience with AWS or another cloud platform together with infrastructure as code technologies (e.g. Lambda, S3, DynamoDB, RDS or AWS CDK is advantageous) Good knowledge of relational databases such as PostgreSQL together with object storage technologies Experience developing ETL pipelines and working with large scale datasets Strong understanding of software engineering practices including version control, automated testing, packaging and deployment Ability to work independently while collaborating closely with business and technology stakeholders to deliver production solutions Experience with parallel or distributed computing is advantageous 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: Belgrade Workplace: onsite About Unlimit   Unlimit is a global fintech ecosystem built to eliminate financial borders holding businesses back. The company provides the extensive infrastructure needed to scale globally, integrating payment processing, multi-currency business accounts, BaaS and crypto gateways into a single, intelligent platform.   Across 17 offices globally, Unlimit bridges hyper-local expertise with a high-capacity financial network, giving companies the agility to expand across regions with operational confidence and speed. Driving the evolution of payments, Unlimit is transforming its infrastructure from human-operated fintech into AI-native financial infrastructure — where APIs are consumed by machines, integrations are negotiated by agents, and systems evolve continuously through intelligent automation. Our next users are not only humans. They are AI agents acting on behalf of humans and businesses.   Unlimit serves more than the needs of businesses today; we are building the nervous system for a borderless global economy. About the Role You own the path from signed contract to first live transaction. A merchant signs. Then someone has to read their stack, answer their API questions, debug their callbacks at 3pm on a Tuesday, fix what’s broken on our side, and keep the whole thing moving until money is flowing and the approval rate looks right. That someone is you. This is a hands-on engineering role, not a coordination role. You will read logs, reproduce issues in sandbox, write the corrected request for the merchant’s developer, and ship fixes in our own services when the root cause is ours. Project management is a means here, not the job. We are growing the Implementation team in the region, so you will also help define how this works: the tooling, the reusable answers, the escalation paths, and the documentation that stops the same question from being asked twice. How Success Is Measured One metric, three dimensions: integrations moved from signed to live transacting. How many — volume of merchants you take live. How fast — time from signature to first live transaction. How well — approval rate on the traffic those integrations bring. An integration that goes live and then underperforms is not a finished integration. Where You Sit You report to the Implementation Managers Lead, who reports to the Head of PayCore. Day to day you work alongside Account Managers, who own the commercial relationship, and the engineering teams that own our services, whom you escalate to — and ship with — when the fix is on our side. What You Will Do Driving integrations to live (≈50%) Take signed merchants through integration end to end: scope the setup, answer API and configuration questions precisely and in writing, unblock their developers, and stay on it until transactions are flowing. Investigate problems end to end: read logs, trace requests across services, reproduce in sandbox, and name whether the root cause is our platform, the configuration, or the merchant’s implementation. Diagnose and explain integration failures: failed callbacks, unexpected response codes, signature and authentication problems, transaction states that don’t match expectations. Be the technical point of contact for Account Managers, and turn recurring questions into documentation, examples, and internal runbooks. Hands-on engineering (≈40%) Fix the merchant’s code with them: review the integration, point at the actual problem, write the corrected request or snippet that makes it work. Fix bugs in our own services when the root cause is ours, working with the owning engineering team through to release. Build small features and customisations needed for specific merchant setups — from the change itself through testing and rollout. Write and maintain the tooling that makes all of the above faster: sample clients, diagnostic scripts, internal utilities. Pre-sales support (≈5–10%) Occasionally support the commercial team during a deal: answer a technical or security questionnaire, confirm whether a use case is supported, sanity-check a proposed integration approach. Who We Are Looking For Two profiles work equally well here, and we are open on seniority: A developer early in their career who would rather solve real customer problems than sit behind a backlog — and who is comfortable being the one talking to the merchant. An experienced integration engineer who already owns customer-facing technical problems and writes code to solve them, not just tickets about them. Required Skills and Qualifications Coding: You write Java/Python/C++ comfortably and can work inside an existing codebase — read it, change it, test it, ship it. Working with AI: You already work with an AI coding harness (Claude Code, Codex or similar) and reach for it daily — to get through a stack you have not seen before, to draft a fix, to move faster. This is not a bonus point here. It is how the team works, and we expect you to arrive already working this way. Reading other people’s code: Merchants integrate in whatever they use. You can follow unfamiliar code well enough to find the bug in it. Python, Node or other languages are a plus. Debugging: Proven ability to diagnose problems in running systems — reading logs, following a request across services, forming a hypothesis and proving it. This is the core skill of the role. APIs and integrations: Practical understanding of REST APIs, authentication and signing, webhooks and callbacks, idempotency, and common integration failure modes. SQL: You write your own queries to investigate production data. Architecture: Solid grasp of client-server architecture, SaaS platforms and cloud conventions. AWS is a plus. Tools: Postman, a DB client, an OpenAPI tool, Git. English, written and spoken: You can explain a technical cause clearly to a non-technical colleague — in writing and on a call — without making them feel stupid. Most of this role happens in text, and the rest happens live with merchants and colleagues. Nice to Have Experience in payments, fintech, or another regulated domain. Background in technical support, integration engineering, or professional services at a product company. Experience improving how support works: tooling, templates, self-service documentation. Practicalities On-site in Belgrade, standard business hours on Belgrade time (roughly 9:00–17:00). No on-call. Merchants across Europe and Africa. English is the only working language — with merchants, with Account Managers, internally. Join Unlimit Team now!   Unlimit is an equal opportunity employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief.

Location: Remote - Ireland Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Senior Software Engineer. About the job This position will be part of a team of talented engineers within our Commerce Platform Team, who build services and products that operate at a massive scale. This platform is central to Twilio's core business as it is responsible for managing the billing lifecycle and payment experience for our customers, while also acting as a gateway for discovering and selling our products. Billing is going through a transformational journey, and we are introducing new and exciting capabilities. The engineer in this role will be part of a team that focuses on the control plane, billing experience and account lifecycle management. The successful candidate will design, build, and operate core billing platform services that help transition our platform and our customers to the next generation architecture. These services work for all Twilio customers, regardless of their scale and billing complexity. The ideal candidate will build high-quality, innovative and fully performing software that complies with high levels of coding standards and technical design. This is to build and integrate services that continuously improve our ability to provide products to customers while simultaneously delivering industry leading availability. We do this by leveraging technologies that include AWS cloud infrastructure and APIs, Apache Kafka, Rest APIs (OpenAPI compliance), while also building our own services. Responsibilities In this role, you’ll: Improve your knowledge of highly available and scalable distributed systems and use this knowledge to build new features into our platform. Design, implement, and operate both new features on our current services as well as new services that will be built from scratch. Leverage your excellent communication and written skills to articulate the "why" of the solution you are proposing, and have a good understanding of your team’s priorities and the customer impact. Troubleshoot and fix operational issues and have the opportunity to improve the troubleshooting procedures and tools. Execute full software development life cycle (SDLC). Develop flowcharts and documentation to identify solutions. Write well-designed, testable code. Document and maintain software functionality. Troubleshoot, debug and upgrade existing systems. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! As a Commerce Platform engineer, you will design and build core platform services, REST APIs and take part in transitioning our platform to next generation architecture. We run on AWS cloud infrastructure and use AWS cloud data store, EKS, Glue, Kafka, Aurora RDS etc. *Required: 5+  years of work experience building highly scalable products. 5+ years of programming experience in object-oriented language  (Java or similar) with clean code practices. Expert knowledge in Object-Oriented Programming with a successful track record. Experience contributing to architecture and design (architecture, design patterns, reliability and scaling) of new and current systems. Experience working closely with our Product team to understand requirements and help to define technical work for the team. Experience working with stakeholders at all levels - be able to dive into the nuts-and-bolts of how things work as needed. Experience with relational and non-relational databases. Experience delivering high levels of observability and proficiency in improving early warning systems, for example: has worked with Grafana/DataDog/Prometheus. Collaborating with internal/external teams/engineers and fostering an inclusive environment, where all points of view are welcomed and encouraged. Own and lead multiple domains of the platform (microservices, REST APIs, infrastructure) from inception to deployment and maintenance, while making best in class technical decisions that impact the success of the company. Familiarity in Cloud Solutions, AWS, Kubernetes/EKS, CI/CD pipelines, Testing & Automation. Self driven - you take complete ownership of your tasks and champion efforts to get your tasks to completion. Clear written and spoken communication skills. Degree in Computer Science or a related field, or equivalent work experience. Desired: Experience with on-call support for mission-critical customer systems. Experience optimizing and debugging complex SQL queries. Experience working on customer-facing applications. Good debugging skills on production systems. Proficient in Linux and containerization with Kubernetes. Nice to have skills: gRPC, Python, Typescript, React, Apache Kafka. Location This role will be remote, and based in Ireland. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: Limassol; Nicosia; Athens Workplace: hybrid The Role:  Are you passionate about transforming complex data into intelligent, business-driven solutions? Do you enjoy solving challenging problems, developing cutting-edge machine learning models, and collaborating with highly skilled professionals? We are looking for a Senior Data Scientist to join our growing Data Science team. In this role, you will play a key part in designing and delivering innovative data products that create measurable business impact. You'll work with large-scale datasets, advanced machine learning techniques, and modern technologies while collaborating with multiple teams, and business stakeholders to bring data-driven solutions into production. The main responsibilities of the position include: Lead the design, development, and delivery of high-impact data science and machine learning solutions. Translate complex business challenges into structured analytical approaches and scalable data products. Build, evaluate, and optimize advanced machine learning models, ensuring high standards of quality, performance, and reliability. Contribute to technical decisions and best practices across the data science lifecycle. Review and validate data preparation, feature engineering, model selection, experimentation, and documentation. Support the deployment and operationalization of machine learning models in batch and real-time environments. Present analytical insights and recommendations to technical and non-technical stakeholders. Ensure compliance with data quality, model governance, security, privacy, and responsible AI standards. Identify opportunities to leverage data science for automation, forecasting, personalization, optimization, and risk management. Collaborate closely with Data Engineers, Machine Learning Engineers, Software Engineers, Product Owners, and business stakeholders to develop production-ready solutions. Contribute to improving team processes, technical standards, and project delivery methodologies. Support the Lead Data Scientist in defining priorities, roadmaps, and strategic initiatives. Main requirements: University degree in Mathematics, Physics, Engineering, Computer Science, Data Science, or a related field. At least 5 years of experience in a similar role. Hands-on experience with Python libraries such as Pandas, NumPy, and Polars for data processing and analysis. Strong Python programming skills with the ability to write clean, maintainable, and production-ready code. Strong knowledge of modern machine learning techniques and advanced architectures, including Transformers and Graph Neural Networks (GNNs) . Experience with data visualization libraries such as Matplotlib, Seaborn, and Plotly . Good knowledge of SQL and statistical analysis. Excellent analytical thinking and problem-solving skills. High attention to detail and commitment to delivering high-quality solutions. Strong communication skills with the ability to explain technical concepts to non-technical audiences. Excellent verbal and written communication skills in English. A collaborative mindset, curiosity, and a passion for continuous learning. What would be considered as an advantage: Exposure to Natural Language Processing (NLP). Experience working with NoSQL databases. Knowledge of software engineering best practices. Experience working in Unix/Linux environments. Basic understanding of AWS services and cloud-based machine learning environments. Benefit from: Attractive remuneration package plus performance related reward Private health insurance Corporate pension fund Intellectually stimulating work environment Continuous personal development and international training opportunities The Hiring Experience: What Awaits You Let’s Connect – Intro Chat with Talent Acquisition Deep Dive – First Interview with Your Future Team Bring It to Life – Role-Specific Take-Home Task Final Connection – Final Interview All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.

Location: Estonia; Latvia; Lithuania; Portugal; Spain RemoFirst is transforming the way businesses hire and manage global teams. Our mission is to enable Freedom of Work by providing an all-in-one global HR platform that simplifies hiring, compliance, payroll, and benefits management. We partner with some of the world’s most innovative companies, including Fortune 500 businesses and leading startups. We are a small but strong team of 200+ people (and growing) hyper-focused on delivering a world-class platform and unparalleled service with our industry-leading partnerships. We are scaling at incredible speed and transforming one of the fastest-growing industries in the world. To fuel this momentum, we are looking for a Staff Backend Engineer to help us maintain and improve our existing Python-based systems and support the design, build, and strategic transition of parts of our backend to Java. This is a hands-on role with strong technical ownership and exposure to global-scale systems. This role goes beyond simply implementing requirements - you’d be a real product engineer taking extreme ownership over the quality of your product, caring deeply about our customers and what’s being built. You will collaborate with international engineering, product, and design teams in a fully remote setup. What hats will you wear: As a hands-on leader from the IC track you will design, develop, and maintain backend services using our core stack (Java/Python/SpringBoot/FastAPI/Postgres/Kafka) alongside the rest of the engineers on the squads As the lead engineer you will be working closely with the broader cross-functional team (Product, Design, Operations, Sales) to build reliable and delightful products that address the real pain points of businesses operating in the growing remote talent market. As an architect you will be in charge of making pragmatic yet sustainable architectural discussions, choose when and how to strangle functionalities off of our legacy monolith, establish domain boundaries, and choose the appropriate distributed system patterns As a leader in our Engineering Community of Practice, you will play a pivotal role in our adoption of modern engineering practices - TDD, real continuous delivery, SRE culture, API-first design to enable externally available dev APIs - and master the art of refactoring to gradually introduce them without stop-the-world year-long migrations As a mentor you will upskill less senior engineers by writing quality code yourself, leading our weekly learning sessions, conduct quality code reviews, encourage best practices by automatic trivial controls Requirements 8+ years of backend software development experience Strong professional experience with Python (Django, FastAPI, Flask, or similar frameworks) preferred Strong professional experience with Java, preferably using Spring Boot Experience designing and consuming RESTful APIs preferred Experience with relational databases (PostgreSQL, MySQL); exposure to NoSQL databases is a plus Familiarity with unit testing, integration testing, and test-driven development (TDD) preferred Experience with CI/CD pipelines is required; experience with Git is preferred Deep understanding of microservices architecture and distributed systems Experience working with cloud platforms; AWS is a plus Excellent written and verbal communication skills in English

Location: Mapbox Germany; Finland; Mapbox UK Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers.  WHAT WE DO We build the mission-critical engine that powers real-time navigation for global customers like BMW, Porsche, DoorDash, and Instacart. We process petabytes of geospatial data through a sophisticated blend of high-scale backend services, data pipelines, and AI Agentic workflows to detect, validate, and deliver live road updates - from traffic jams to road closures. The intelligent AI agents we build enhance our core algorithms, ensuring Mapbox maps are as dynamic as the roads themselves and that millions of drivers reach their destinations in the most optimal way possible.   Engineers on this team develop and deliver of every stage of the event detection lifecycle: 1. Intelligent Ingestion and Detection: Building automated agents to gather data and discover closures using proprietary Mapbox signals. 2. Validation and Conflation: Leveraging algorithms to invalidate stale data and merge duplicate reports into a single, high-fidelity source of truth. 3. Strategic Delivery: Designing the systems that expose this data across the entire Mapbox ecosystem. 4. AI Collaboration: Partnering with the MapGPT team https://www.mapbox.com/mapgpt to evolve our Feedback Agent https://www.mapbox.com/feedback-agent, allowing us to refine the map using real-time customer insights.   As AI becomes embedded in modern engineering workflows, we value engineers who can thoughtfully integrate AI into design, development, and decision-making. Our interview process will include discussion of how you use AI in your engineering workflow. WHAT YOU'LL DO As an Engineering Manager supporting our Traffic Events Detection organization, you will lead innovative and high-performing multi-disciplinary teams who are building the Events Detection product using a blend of high-scale backend services, data pipelines, and AI Agentic workflows to detect, validate, and deliver live road updates. You will be responsible for driving your team’s day-to-day work, fostering the growth and development of the people on the team, and aligning the team’s work with the company's priorities. Thousands of customers rely on Mapbox services to seamlessly handle billions of requests every day and scale in real-time to global events. You will drive solutions that remain robust, reliable, and innovative in a fast-evolving technological landscape. - Deliver complex, high-impact projects while providing technical expertise and mentorship to your team. - Operate your team’s day-to-day and be hands-on in project management and sprint planning. - Manage operational best practices for on-call and related responsibilities. - Empathize with internal and external customers delivering features that address their needs. - Manage and develop the team through hiring, retaining, mentoring, and continually building the team’s capabilities. - Drive company, product, and team objectives, carrying your team and relevant stakeholders along in the decision-making. - Work with Product and Engineering teams to develop the long-term business strategy driving the team’s work. - Establish, track, and iterate on operational metrics to ensure the team is delivering products that meet or exceed customer expectations. - Determine best engineering practices and promote them within the team and across Mapbox. - Foster a culture of collaboration, innovation, diversity, and data-driven decisions on the team. WHAT WE BELIEVE ARE IMPORTANT TRAITS FOR THIS ROLE - Required Education/Certification: Bachelor’s degree in Computer Science, or equivalent practical hands-on engineering experience. - Technical Skills & Tools (Must-Haves): - 5+ years of people management experience: You have managed remote engineering team(s) leading to product execution and business outcome while growing and developing a team of engineering talent. - Hire & Develop: You understand the importance of hiring the best diverse talent and creating a culture where your team members can learn & grow with the organization. - Technical Expertise: You have deep knowledge and experience of building scalable web services and data pipelines in AWS. - Operational Excellence: You drive a culture of quality and continuous improvement within your team and personally embody a passion for monitoring, metrics, triage, resolving customer issues, and iterative improvement. You help foster the end to end development of clearly designed interfaces, documentation, thorough test coverage, and effective code reviews. - Ownership & Execution: You own the vision, lead the strategy, and guide the team to execute towards building the future of your product. - Customer Focus: You care deeply about your customers and their problems, and you work tirelessly to innovate on their behalf. - Strong written and verbal communication: You can talk and write about complex ideas concisely to a wide audience. - Core Competencies & Scope: - Experience leading cross-functional teams of 5+ people EMPLOYMENT REQUIREMENTS - Employment Type: Full-time - Weekly Hours: Full-time - Location/Hybrid Policy: Remote WHAT WE VALUE In addition to our core values https://www.mapbox.com/about/values/, which are not unique to this position and are necessary for Mapbox leaders: - We value high-performing creative individuals who dig into problems and opportunities. - We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people. - We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. - We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply. HOW WE SUPPORT YOU - Hybrid/Remote Options: Enjoy flexibility to work comfortably from home or periodically from an office where applicable. - Country-Specific Care & Coverage: Private health, dental, and income protection plans tailored to elevate your regional statutory benefits. - Family-First Support: Family care, maternity and paternity leave policies to support your growing family. - Lifestyle Spending Account: Contributions to support your health, wellness, and personal growth - Balance & Brainpower: Mental health support for you and your dependents. - Rest & Recharge: Paid time away, company holidays, and generous absence policies. - Time Off to Give Back: Dedicated paid volunteering time in addition to your standard PTO. By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice https://www.mapbox.com/legal/applicant-privacy-notice/ for applicants, which is linked here. Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application. We are committed to a fair and equitable hiring process. We do not discriminate against any protected class. #LI-Remote