Вакансии

Location: Almaty, Kazakhstan; Astana, Kazakhstan; Belgrade, Serbia; Cluj-Napoca, Romania; Krakow, Poland; Larnaca, Cyprus; Lodz, Poland; Lublin, Poland; Monterrey, Mexico; Montevideo, Uruguay; Remote.AR, Remote.LATAM-country; Remote.BR, Brazil; Remote.BG, Bulgaria; Remote.CO, Colombia; Remote.GE, Georgia; Remote.KZ, Kazakhstan; Remote.PL, Poland; Riga, Latvia; Rosario, Remote.LATAM-country; Sofia, Bulgaria; Tbilisi, Georgia; Varna, Bulgaria; Warsaw, Poland; Wroclaw, Poland; Yerevan, Armenia As a Solutions Architect, you will define and guide architecture across card acquiring and payment processing domains. You will work on transaction flows, processing and routing components, scheme and partner integrations, resilience patterns, and technical standards. You will work closely with engineering, product, and business stakeholders to translate complex payment requirements into scalable solution designs and guide engineering teams through implementation. - Define and evolve the solution architecture for card acquiring and processing capabilities, covering authorization, switching, routing, clearing, settlement and reconciliation; - Design end-to-end transaction flows for card-present and card-not-present scenarios, including authorization, capture, reversals, refunds and exception handling; - Design integration patterns with card schemes, processors, banks, payment gateways and merchant-facing systems, including ISO 8583 message flows and scheme-specific variations; - Define resilience and failure-handling patterns for high-throughput, low-latency transaction processing, including idempotency, retries, timeouts, duplicate detection and recovery; - Ensure the architecture meets PCI DSS and payment security requirements, including cardholder data protection and tokenization; - Translate business and product requirements into concrete technical solutions and communicate architecture decisions across engineering, product and business teams; - Remain hands-on and contribute directly to implementation where needed, particularly for complex transaction processing, integrations and core platform components; - Define technical standards and review solution designs and implementations across engineering teams; - Contribute to the evolution and modernization of payment processing capabilities and legacy components where relevant. - Strong experience as a Solution Architect, Technical Architect or Lead Architect in card acquiring or payment processing; - Proven experience designing or significantly evolving an acquiring platform, payment switch or card transaction processing system, including real-time switching and routing; - Deep understanding of the acquiring transaction lifecycle: authorization, capture, reversals, refunds, clearing, settlement and reconciliation; - Strong practical knowledge of ISO 8583, including message flows and scheme-specific implementations; - Strong knowledge of card-present and card-not-present transaction processing; - Good understanding of EMV and 3-D Secure transaction flows; - Experience integrating with card schemes, processors, banks, payment gateways or merchant-facing systems; - Strong understanding of distributed systems, including idempotency, retries, timeouts, duplicate handling and recovery scenarios; - Experience designing high-availability, high-throughput, low-latency transactional systems; - Good understanding of PCI DSS, cardholder data security, tokenization and payment security principles; - Strong software engineering background with recent hands-on development experience and the ability to contribute directly to production code when needed; - Excellent communication and stakeholder management skills; - Upper-Intermediate or higher level of English. - Hands-on experience designing and certifying direct acquiring integrations with major card schemes, such as Visa, Mastercard, UnionPay, JCB, American Express and Discover; - Experience with both POS and e-commerce acquiring; - Experience with HSMs, PIN processing, payment cryptography and key management; - Hands-on work with scheme clearing files and settlement processes, such as Visa BASE II and Mastercard IPM; - Experience with processing platforms such as Way4, BASE24, SmartVista, TranzAxis or similar; - Experience with acquiring platform modernization or migration; - Experience with event-driven or microservices-based transaction processing architectures.

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role You'll own and improve the operational toolkit that equips GitLab's Solutions Architects (SAs) to drive growth and deliver value for customers. As the SA team's go-to operational business partner, you'll make tools, workflows, reporting, and handoffs more effective and grounded in the SA's role throughout the customer journey. You'll report to the Director of Customer Experience (CX) Operations. This is a senior individual contributor role with no direct reports. What you’ll do Own the SA operational toolkit and business requirements for systems, workflows, processes, reporting, and documentation. Partner with Revenue Technology, Revenue Analytics, and system owners on implementation, validation, data quality, and operational controls. Manage operational support requests for tooling, access, assignments, and data issues, including triage, routing, resolution visibility, and root-cause improvements. Improve the processes and system workflows for requesting, assigning, and tracking SA engagements. Implement intake requirements and routing rules agreed with SA leadership, and automate manual steps. Document and operationalize the SA engagement model and cadences agreed with SA leadership and cross-functional teams, including responsibilities, rules of engagement, handoff criteria, and required customer information at key journey stages. Own SA reporting requirements and data quality standards. Partner with Revenue Analytics to provide reliable visibility into capacity, engagement, technical evaluation progress, and outcomes so SA leaders can assess effectiveness and prioritize resources. Support SA leaders with coverage and capacity planning, business reviews, and operating rhythms that help teams prioritize customer needs and resources. Turn field feedback into operational improvements. Lead testing, rollout, and documentation, partner on enablement, and follow through until changes are adopted and sustained. What you’ll bring Relevant experience in Solutions Architect, Sales, Revenue, or Customer Experience Operations. Understanding of technical sales, pre-sales, and post-sales, SA engagement models, technical evaluations, and how SAs demonstrate customer value, support growth, and coordinate with post-sales teams. Hands-on experience with Salesforce or comparable customer relationship management (CRM) tools, reporting, data quality, and workflow improvement; ability to translate field needs into clear system requirements. Structured problem-solving skills: turn ambiguous issues into clear workstreams, own delivery, and sustain measurable improvements in efficiency and adoption. Strong quantitative skills and proficiency in Excel or Google Sheets for capacity, coverage, productivity, and scenario modeling. Strong hands-on experience with artificial intelligence (AI)-native tools to support custom reports and data modeling scenarios. Sound judgment, project management, and communication skills; ability to work independently, build trust, and influence across a global, distributed organization. Preferred, not required: experience supporting a technical field organization in business-to-business software; Structured Query Language (SQL) or equivalent data-querying experience; and experience with GitLab or development, security, and operations (DevSecOps) and AI-enabled automation. About the team Our Solutions Architect team coordinates with post-sales teams throughout the customer journey. We align responsibilities, rules of engagement, and handoff criteria with SA leadership and cross-functional partners. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $115,200 — $194,400 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Sydney Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW The Senior Solution Architect joins Harvey's Solutions Architecture team to serve as the technical bridge between product capabilities and enterprise client needs across the APAC region. The team's mission is to help the world's leading legal and professional services organizations understand, adopt, and scale Harvey's AI platform. This role drives technical discovery, solution scoping, and product demonstrations that translate complex AI concepts into clear business value for enterprise buyers. They partner closely with Account Executives, Product, and Engineering to shape go-to-market strategy across one of Harvey's fastest-growing regions. It is a unique opportunity to combine deep technical acumen with client-facing impact at the forefront of legal AI. WHAT YOU'LL DO - Partner with Account Executives to lead technical discovery sessions, scope solutions, and drive platform adoption for enterprise clients across APAC. - Deliver compelling product demonstrations and technical presentations that align Harvey's AI capabilities with client workflows and business needs. - Serve as the primary technical point of contact for prospective customers, addressing questions around APIs, security, authentication, and platform integration. - Collaborate cross-functionally with Product, Engineering, and Customer Success to translate customer feedback and market insights into product improvements. - Support the end-to-end sales cycle by building relationships with legal, IT, and executive stakeholders at target organizations. WHAT YOU HAVE - 5+ years of experience in a solutions architecture, pre-sales engineering, or technical consulting role within a B2B SaaS environment. - Strong understanding of APIs, security frameworks, cloud architecture, and platform integration concepts. - Proven ability to engage with enterprise clients, explain complex technical concepts to both technical and non-technical audiences, and align solutions with business needs. - Experience working closely with sales or go-to-market teams to support pipeline generation and deal execution. - Interest in AI, legal technology, or professional services, with a desire to deepen domain expertise. - Based in Sydney with valid Australian work rights. ADDITIONAL INFORMATION - Location: Sydney, NSW (Hybrid with flexibility) - Work eligibility: Must have valid Australian work rights; Harvey does not currently offer visa sponsorship for this role WHAT WE OFFER - Structured hybrid working arrangement: 3 days in our Sydney office, 2 days working from home - Health Coverage: Fully covered private hospital insurance, plus extras for dental, optical, physio, mental health, and more. - Family & Fertility Support: Support for fertility treatments, adoption, and surrogacy through Carrot. - Retirement & Security: Comprehensive coverage designed to support your long-term well-being. - Paid Leave: Paid annual leave, sick leave, and fully paid parental leave for all parents. - Wellness & Perks: Daily in-office lunch, wellness memberships through Wellhub, and monthly commuting support. - Professional Development: Annual support for courses, certifications, conferences, and books. - Remote Work Allowance: Monthly support for home office, internet, and phone expenses. - Harvey Holiday: After four years, enjoy a four-week paid sabbatical to rest, travel, or explore new experiences. DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-CL1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Задачи: — Технические пресейлы и прямое взаимодействие с архитекторами заказчиков — Анализ архитектуры клиентов и проектирование решений под бизнес-задачи — Работа с разными технологиями, индустриями и сложными, в том числе регулируемыми, доменами — Возможность оставаться hands-on: создавать PoC, прототипы и проверять гипотезы на практике Требования: — Опыт работы архитектором в нескольких компаниях — Реальный опыт с 3+ языками программирования и разными стеками — Опыт работы в небольших и крупных компаниях — Опыт сложных архитектурных проектов и самостоятельного создания PoC — Свободный рабочий английский — Преимуществом будут знания Python, Scala, Clojure, Ruby, Go Условия: — Удалённая работа (локации ограничены) — Помощь в релокации при необходимости

Location: USA Workplace: Remote Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. Solvd Cloud, Infra, Data & Security is growing fast, and our architecture leadership needs to keep up. We need someone who can take an unclear problem, define it, design the answer, and make sure it ships. You'll set technical direction across cloud, infrastructure, and data. You'll shape engagements and roadmaps before they're committed. And you'll stay close enough to delivery that what we design is what gets built. We operate AI-first: you'll use AI as a daily tool to move faster and multiply what you and the teams around you can deliver. There will be ambiguity. That's the job. The plans don't exist yet, and you'll help write them. WHY THIS ROLE, WHY NOW: - You'll help define the business, not inherit it. The Cloud BU is rapidly scaling. The patterns, standards, and team habits you set now become how we operate. - The scope is broad on purpose. It covers cloud foundations, Kubernetes platforms, data, and AI workloads, so you won't be boxed into one layer. - Decisions move quickly. You'll work directly with BU leadership, and decisions take days, not quarters. - The problems are current. The work is getting AI workloads into production safely, building data platforms that are governed, and keeping cloud spend under control. WHAT YOU'LL OWN: - Architecture direction. You'll define reference architectures, landing zones, and standards across AWS and Azure, Kubernetes, and infrastructure-as-code. You'll decide what we standardize and what we leave flexible. - Data and AI platforms. You'll design lakehouse and warehouse, streaming, and governance patterns. You'll also design the platform layer that moves GenAI and agentic workloads from prototype to production, covering access control, evaluation, observability, and cost guardrails. - Solution shaping. You'll lead technical discovery, size and de-risk the work, and write the solution designs and technical scope that teams commit to. - AI-accelerated delivery. You'll use AI tools across the architecture lifecycle: discovery synthesis, design drafts, IaC and code generation, review, documentation, and estimation. You'll turn what works into repeatable patterns and prompts the team adopts. You'll also set the guardrails for how AI is used with client and production data. - Security and compliance by design. You'll own IAM, network segmentation, secrets management, and logging. Your designs need to hold up to SOC 2, ISO 27001, and regulated-industry scrutiny without slowing delivery down. - Cost and operability. Every design ships with a run cost, reliability targets, an observability plan, and a rollback path. - Raising the bar. You'll run design reviews, mentor architects and senior engineers, and turn repeat solutions into reusable accelerators. WHAT YOU BRING: Have 12+ years in infrastructure, cloud, or data engineering, including several years as the accountable architect for production systems at scale. Have deep hands-on experience with AWS and/or Azure, production Kubernetes, and Terraform (or an equivalent IaC tool). You can still review a pull request credibly. - Have designed and shipped modern data platforms, such as [Databricks / Snowflake / Fabric / Redshift], including governance and data quality, not just pipelines. - Think security-first. IAM design, zero-trust networking, encryption, and audit readiness are defaults for you, not afterthoughts. - Use AI as a force multiplier, not a novelty. You can show concrete examples of AI shortening your delivery timelines or expanding your output. You also know where it fails, and you verify what it produces before anything reaches production. - Can explain a tradeoff to a CFO in the morning and debug it with an engineer in the afternoon. - Act under ambiguity. You write the first draft of the plan instead of waiting to be handed one, then adjust it as you learn. NICE TO HAVE - You've put GenAI or LLM systems into production (RAG, evaluation, guardrails, agent orchestration). - You have multi-cloud or hybrid experience at enterprise scale. - You've worked in regulated industries such as financial services, healthcare, or the public sector. - You hold AWS Solutions Architect Professional, Azure Solutions Architect Expert, or CKA. These help but aren't required. - You've built an architecture practice or center of excellence from an early stage. When you join Solvd, you'll… - Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. - Be part of a global team with equal opportunities for collaboration across continents and cultures. - Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. Ready to make an impact? If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together. Solvd is an equal opportunity employer.

Location: Ireland, Dublin Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Department overview: The Senior Solutions Architect shapes the technical approach for moving employee technology support from reactive response toward predictive detection, safe self-healing, and higher value enablement. The role turns service needs into cross-platform architecture, reusable patterns, and clear implementation guidance. Working with engineering, operations, platform, security, and architecture partners, this individual makes technical tradeoffs visible and helps teams deliver solutions that can be operated and improved over time. What you’ll be doing: Architecture and technical direction Lead technical discovery for complex, cross-platform employee technology opportunities and define target architectures, integration patterns, and implementation options. Design the flow from service and endpoint signals through detection, diagnosis, approved remediation, escalation, and outcome recording. Set reusable standards for APIs, identity, data handling, observability, testing, rollback, and operational ownership in automation solutions. Assess build versus buy options and emerging AI capabilities against employee value, technical feasibility, security, and supportability. Platform architecture and integration Define how ServiceNow, Moveworks, Jira, Slack, Nexthink, Jamf , Microsoft Intune, Microsoft 365, Microsoft Graph, and related services exchange signals, context, actions, and outcomes where those platforms are in scope. Create reference patterns for API integration, event handling, identity and access, data minimization, workflow orchestration, and reuse across employee technology services. Partner with platform owners to align solution designs with enterprise architecture, security, privacy, and operational standards; identify dependencies and ownership before delivery. Guide designs that combine endpoint telemetry, service history, and employee context without assuming that a signal alone proves an issue or that automation always warrants an action. Predictive support and AI Design a portfolio of use cases spanning proactive detection, guided self service , assisted support, and controlled self healing , with criteria for choosing the appropriate response . Define safeguards for AI assisted workflows, including source quality, evaluation, human review where needed, auditability, and paths for uncertain or failed outcomes. Establish measurement approaches with service owners that separate automation execution, resolution, employee impact, and any verified change in support demand. Evaluate new technology through focused proofs of concept and recommend where it should be adopted, improved, or deferred. Technical engineering Design or review advanced Python, PowerShell, JavaScript, and API based components when architectural risk or reuse warrants direct involvement. Set expectations for code quality, version control, testing, performance, resilience, and documentation across automation solutions. Engineering leadership and partnership Review high-impact solution designs and resolve architectural tradeoffs with platform owners, security partners, and delivery teams. Provide reference designs, decision records, and guidance that engineering teams can use in delivery. Prototype selected high-risk elements to validate feasibility and guide production implementation of critical integrations. Mentor engineers and contribute technical input to the employee technology roadmap. What we are looking for: Required Significant experience designing and delivering enterprise integrations or automation across multiple teams and platforms. Evidence of making sound architecture decisions and guiding solutions from concept through production operation. Strong knowledge of APIs, scripting or software engineering, security controls, reliability, and operational design. Ability to explain technical tradeoffs and work effectively with engineering, operations, platform , and business stakeholders. Degree in a relevant field or equivalent practical experience. Experience developing reference architectures and guiding multi-platform engineering without formal line management authority. Ability to assess AI enabled automation for safety, quality, maintainability, and measurable service value. Preferred Digital workplace and service platforms such as ServiceNow, Nexthink, Moveworks, Jamf , Intune, Microsoft 365, Jira, or Slack. AI assisted service workflows, cloud services, and enterprise architecture methods. Benefits: Discretionary bonus opportunity Private Medical Insurance Dental Scheme 25 days holiday per year On Site Gym Subsidised Café Free soft drinks On site bar Access to cycle garage and showers Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Atlanta, Georgia, United States; Boston, Massachusetts, United States; New York, New York, United States; Seattle, Washington, United States 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. About this role: You'll be the founding customer-facing engineer for our flagship Kimchi product within our Customer Success organization. Kimchi executes multi-model LLM workflows and autonomous agents with embedded governance and cost control. It intelligently routes across frontier and open-source models while enabling teams to establish strict budget caps, enforce model access policies, configure roles, and audit TCO via deep analytical tracking. Through Kimchi Studio, developers gain desktop access to agentic workflows, helping organizations accelerate adoption without sacrificing operational governance or spend visibility. This is a hands-on, individual contributor role where you will live at the intersection of inference optimization, autonomous coding agents, multi-model routing and LLM governance. You will have the unique opportunity to architect and execute the growth strategy that scales Kimchi adoption and creates new revenue expansion opportunities for our existing customers. Requirements: Deep hands-on experience with LLMs: you've deployed them, fine-tuned them, evaluated them, or debugged their failure modes. You care about why model A outperforms model B for a specific task. You know what it's like to operate in a fast-moving environment that’s prone to change. You've built or optimized inference systems out of curiosity. You know the difference between latency, throughput, and total cost of ownership. You ballpark costs and performance implications in your head. You can explain complex inference concepts to non-ML engineers and help them see why it matters to their business. You can think commercially. You understand revenue expansion, can identify expansion opportunities within customer organizations, and can design strategies to capture them. You're not just a technical person, you're someone who combines technical excellence with entrepreneurial thinking about growth. Responsibilities : Lead hands-on demos of our flagship inference products - Kimchi Coding, Studio and Teleport. Set up Kimchi Studio workspaces within customer environments. Help teams configure worktrees, integrations (Slack, repos, docs), and skills so agents understand their conventions. Design and drive implementation of governance policies for customers: spending limits per team/developer, cost attribution by project, model routing preferences. Make sure the hard budget caps actually work for their org. Help teams integrate Kimchi's serverless inference API. Optimize model selection and routing for their specific workloads (coding, reasoning, planning tasks). Translate customer feedback into product input. Highlight where the agent fails, where Studio UX gets in the way, where governance policy doesn't match their needs. What’s in it for you? 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. 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. Hiring process Screening call with Recruiter Hiring Manager interview 1-2 additional interviews based on the role 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. #LI-Remote

Location: Amsterdam, North Holland, Netherlands; EMEA; Lithuania; London, England, United Kingdom; Tel Aviv District, Israel 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. About this role: You'll be the founding customer-facing engineer for our flagship Kimchi product within our Customer Success organization. Kimchi executes multi-model LLM workflows and autonomous agents with embedded governance and cost control. It intelligently routes across frontier and open-source models while enabling teams to establish strict budget caps, enforce model access policies, configure roles, and audit TCO via deep analytical tracking. Through Kimchi Studio, developers gain desktop access to agentic workflows, helping organizations accelerate adoption without sacrificing operational governance or spend visibility. This is a hands-on, individual contributor role where you will live at the intersection of inference optimization, autonomous coding agents, multi-model routing and LLM governance. You will have the unique opportunity to architect and execute the growth strategy that scales Kimchi adoption and creates new revenue expansion opportunities for our existing customers. Requirements: Deep hands-on experience with LLMs: you've deployed them, fine-tuned them, evaluated them, or debugged their failure modes. You care about why model A outperforms model B for a specific task. You know what it's like to operate in a fast-moving environment that’s prone to change. You've built or optimized inference systems out of curiosity. You know the difference between latency, throughput, and total cost of ownership. You ballpark costs and performance implications in your head. You can explain complex inference concepts to non-ML engineers and help them see why it matters to their business. You can think commercially. You understand revenue expansion, can identify expansion opportunities within customer organizations, and can design strategies to capture them. You're not just a technical person, you're someone who combines technical excellence with entrepreneurial thinking about growth. Responsibilities : Lead hands-on demos of our flagship inference products - Kimchi Coding, Studio and Teleport. Set up Kimchi Studio workspaces within customer environments. Help teams configure worktrees, integrations (Slack, repos, docs), and skills so agents understand their conventions. Design and drive implementation of governance policies for customers: spending limits per team/developer, cost attribution by project, model routing preferences. Make sure the hard budget caps actually work for their org. Help teams integrate Kimchi's serverless inference API. Optimize model selection and routing for their specific workloads (coding, reasoning, planning tasks). Translate customer feedback into product input. Highlight where the agent fails, where Studio UX gets in the way, where governance policy doesn't match their needs. What’s in it for you? 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. 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. Hiring process Screening call with Recruiter Hiring Manager interview 1-2 additional interviews based on the role 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. #LI-Remote

Задачи: — Сотрудничество с командами продаж и инженерии для ускорения внедрения и роста платформы Databricks у клиентов. — Обеспечение успеха клиентов через техническое руководство и поддержку наиболее сложных клиентов. — Ведение технической стратегии и плана исполнения для ключевых клиентов и кейсов использования. — Быть основным техническим контактом по вопросам статуса производства и запуска кейсов использования. — Координация с внутренними и внешними командами, включая профессиональные сервисы и продуктовые команды. — Разработка и выполнение плана действий, охватывающего все технические роли и команды, взаимодействующие с клиентом. Требования: — Опыт 5+ лет в технической реализации проектов/программ в области данных и ИИ. — Навыки программирования на Python, SQL или Scala. — Опыт работы с клиентами в предподажной, технической архитектуре, успехе клиентов или консалтинге. — Понимание архитектуры распределённых систем данных. — Умение связывать бизнес-ценность с результатами проектов. — Опыт управления программами, включая управление аккаунтами, заинтересованными сторонами и ресурсами. — Опыт решения сложных эскалаций с руководителями клиентов. — Навыки проведения стратегических сессий, бизнес-анализа и управления сложными проектами. — Высшее образование в области компьютерных наук, информационных систем, инженерии или эквивалентный опыт. — Готовность к командировкам до 30%. Условия: — Гибридный формат работы. — Годовой оклад от $180,000 до $247,500 USD. — Возможность получения бонусов, акций и других льгот. — Компания придерживается принципов равной оплаты и инклюзивности. — Дополнительная информация о льготах доступна по ссылке в вакансии.

Задачи: — Владеть технической стратегией для сложных корпоративных возможностей от начального этапа изучения до Proof of Value (POV), внедрения и первых 30 дней клиента. — Руководить POV полностью: определять критерии успеха, строить план технической реализации, координировать внутренние команды, решать проблемы и следить за выполнением. — Глубоко понимать задачи потенциальных клиентов и сопоставлять их с возможностями сервиса Expel. — Проводить технические демонстрации сервиса и рассказывать убедительную историю о том, как Expel создает ценность в области безопасности, адаптируя подход к разным аудиториям. — Быть доверенным техническим советником, задавать сложные вопросы, оспаривать предположения, управлять техническими возражениями и при необходимости говорить "нет". — Тесно сотрудничать с аккаунт-менеджерами и региональными руководителями продаж по стратегии возможностей, техническому изучению, конкурентному позиционированию, RFP/RFI и сложным требованиям клиентов. — Подготавливать команды доставки с техническим контекстом, ожиданиями, рисками и деталями среды для плавного перехода от предпродажной стадии к сервисной доставке. — Управлять техническими эскалациями во время POV или первых 30 дней обслуживания, объединяя нужных людей и неся ответственность до решения проблемы. — Координировать работу между отделами продаж, продукта, инженерии, SOC, Detection & Response, Customer Success и Delivery, влияя и удерживая заинтересованные стороны ответственными без формального подчинения. — Поддерживать глубокие знания в области SIEM, endpoint/EDR, сети, облака, операций безопасности, реагирования на инциденты, поведения атакующих и обнаружения. — Выявлять возможности для улучшения методологии POV, технического контента, процессов, передачи клиентов и внутреннего обучения, а затем реализовывать эти улучшения. — Повышать технический и консультативный уровень всей команды Solutions Architecture, делясь опытом и помогая другим справляться с трудными ситуациями. Требования: — Более 8 лет релевантного опыта в Solutions Architecture, Sales Engineering, технических продажах в области безопасности, консалтинге по безопасности, операциях безопасности, реагировании на инциденты или аналогичных клиентских ролях. — Опыт работы на уровне senior или principal, независимо от текущего титула. — Способность самостоятельно вести сложные корпоративные возможности, влиять на заинтересованных лиц без формального авторитета и быть техническим экспертом, которому доверяют. — Значительный опыт руководства сложными корпоративными POV, включая техническое изучение, определение критериев успеха, координацию исполнения, управление возражениями, решение проблем и связь технических результатов с целями клиента. — Глубокие знания в области безопасности: операции безопасности, реагирование на инциденты, поведение атакующих, архитектура сети, облачные среды, SIEM, endpoint/EDR, обнаружение и реагирование. — Понимание взаимодействия технологий безопасности в реальных условиях и умение выявлять, где технологии не решают основную проблему. — Сильные навыки сторителлинга, умение делать сложное техническое понятным и убедительным для разных аудиторий. — Инстинкты доверенного советника, способность выявлять истинные потребности клиента и уважительно оспаривать предложенные подходы. — Навыки управления проектами и заинтересованными сторонами, опыт координации сложной работы и удержания ответственности без формального авторитета. — Высокий эмоциональный интеллект, умение справляться с разногласиями, конфликтами и сложными разговорами без потери доверия. — Искреннее любопытство, умение задавать продуманные вопросы и постоянно развиваться. — Готовность к обучению и восприятию обратной связи с низким уровнем эго. — Опыт улучшения процессов, технической стратегии, обучения, клиентских материалов или практик команды. Преимущества: — Практический опыт работы в SOC, реагировании на инциденты, threat hunting, detection engineering или других операциях безопасности. — Опыт продаж или доставки MDR, MSSP, SIEM, EDR/XDR, облачной безопасности или других решений в области безопасности. — Опыт поддержки крупных корпоративных клиентов с комплексными средами, длительными циклами продаж и множеством технических и исполнительных заинтересованных лиц. — Опыт работы с Delivery или Customer Success после продажи, а не только до подписания контракта. — Опыт работы с комплексными корпоративными RFP и RFI. — Опыт улучшения методологии POV, технического обучения, повторно используемого контента или процессов для широкой организации Solutions Architecture или Sales Engineering. — Степень бакалавра в области компьютерных наук, информационной безопасности или смежных дисциплин. Условия: — Удаленная работа в пределах США. — Офис находится в Херндоне, Вирджиния, но рассматриваются кандидаты по всей территории США, способные эффективно поддерживать клиентов и региональных заинтересованных лиц. — Ожидаются командировки до 10-20% времени: встречи с клиентами, брифинги для руководства, конференции, роудшоу и визиты в штаб-квартиру Expel. — Целевой базовый оклад от $186,000 до $195,000 в год, с соотношением оплаты 75/25, что дает целевой доход (OTE) от $248,000 до $260,000 в год, плюс акции. — Прозрачная и справедливая система оплаты, основанная на опыте, навыках, акциях команды и рыночных данных. — Неограниченный оплачиваемый отпуск, гибкость в выборе места работы, до 24 недель отпуска по уходу за ребенком и отличные медицинские льготы. — Требуется разрешение на работу в США, компания не спонсирует визы. — Равные возможности трудоустройства без дискриминации по различным признакам. — Обеспечение разумных условий для участия в процессе найма и выполнения работы для лиц с ограниченными возможностями.

Location: Remote; London Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As a Solutions Architect at Baseten you will partner closely with Sales and customers to translate business needs into technical solutions, run technical discovery, and guide repeatable deployments and proofs of value for customers. This role is a great fit for entrepreneurial, customer-facing technical professionals who want a front-row view into how modern companies adopt AI at scale, and who enjoy working across technical discovery, solution design, demos, deployment scoping, and hands-on customer implementations, in close partnership with Sales and Engineering. RESPONSIBILITIES - Partner with Sales on customer discovery calls (most often second calls, occasionally first calls for large accounts). - Lead demos and technical scoping to align on success criteria, architecture, and deployment approach. - Own benchmarking and repeatable deployments, including: - Handling standard deployment patterns and configurations across many modalities – LLMs, embeddings, image and video generation, Voice AI, etc. - Advising on tradeoffs like H100s vs B200s and latency-optimized vs throughput-optimized setups. - Driving consistent “playbook” style deployments for common models and use cases. - Become a power user of different runtimes such as vLLM, SGLang, and TRT-LLM and all the common configurations and tradeoffs between them - Drive POC and project execution, including: - Scoping POCs and keeping stakeholders aligned on timeline, deliverables, and next steps. - Acting as the “ringleader” or project manager for POCs. - Pulling in Forward Deployed Engineering (FDE) support when deeper or more complex technical work is needed. REQUIREMENTS - AI/ML background and the ability to credibly discuss AI/ML topics with technical stakeholders. - Strong customer-facing communication skills, including the ability to run structured discovery and clarify ambiguous requirements. - Technical depth to scope solutions, without needing to write production code. - Ability to script and prototype as needed, including comfort “vibe coding” to move quickly in technical workflows. NICE TO HAVE - Experience running or supporting benchmarks for ML inference deployments. - Familiarity with infrastructure tradeoffs relevant to inference performance and cost (for example GPU selection and latency versus throughput tuning). - Experience serving as a cross-functional technical lead for customer POCs, including coordination across Sales and Engineering. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Задачи: — Взаимодействовать с ключевыми стратегическими клиентами JFrog, обеспечивая их успех в области DevSecOps с использованием продуктов JFrog — Сотрудничать с менеджерами по продажам для разработки стратегии работы с аккаунтами и построения долгосрочных доверительных отношений с клиентами — Обучать клиентов (инженеров и руководителей) основным возможностям платформы JFrog и ключевым преимуществам — Представлять JFrog на мероприятиях и конференциях — Тесно работать с командами продукта и инженерии для передачи обратной связи с рынка и влияния на развитие продуктов — Следить за последними тенденциями в области DevOps, DevSecOps, MLOps и IoT — Сотрудничать с командами Customer Success и Marketing для расширения вовлеченности клиентов и увеличения использования платформы — Строить отношения с ключевыми лицами, посещать клиентов и выступать в роли доверенного технического контактного лица Требования: — Опыт не менее 10 лет в предпродажах/решениях для крупных клиентов Fortune 500/100 с многомиллионными сделками — Отличные коммуникативные навыки, умение работать в команде, ориентация на удовлетворение клиента и позитивный настрой — Обширный опыт работы с клиентами в роли инженера предпродажной поддержки в сфере программной инфраструктуры — Знания и опыт работы с Docker, Kubernetes, CI, Git, Artifactory, инструментами сборки (maven, gradle, npm, docker и др.) — Умение строить конвейеры доставки ПО с использованием Docker, npm, Java, Pypi и других DevOps инструментов — Знания в области безопасности приложений (AppSec) — Практический опыт работы с Linux (обязательно) — Практический опыт работы с облачной инфраструктурой AWS, Azure, GCP (обязательно) — Опыт разработки программного обеспечения в масштабах, как локально, так и в облаке — Опыт в проектировании архитектуры ПО, разработке продуктов и IT-инфраструктуре будет плюсом — Готовность к командировкам не менее 50% по США — Стремление к обучению — Предпочтительно высшее образование в области компьютерных наук или инженерии Условия: — Возможность удаленной работы для кандидатов, находящихся вне досягаемости офисов в Сиэтле или Саннивейле — Годовой базовый оклад от $195,000 до $215,000, зависит от навыков, квалификации, опыта и местоположения — Возможность получения бонусов и комиссионных — Пакет акций (RSU) и участие в программе покупки акций для сотрудников — Комплексный социальный пакет: медицинское, стоматологическое, офтальмологическое страхование, пенсионные программы, программы оздоровления и др. — Равные возможности при трудоустройстве без дискриминации по любым признакам

Location: Belgrade, Serbia; Bengaluru, India; Cluj-Napoca, Romania; Krakow, Poland; Larnaca, Cyprus; Lodz, Poland; Lublin, Poland; Monterrey, Mexico; Montevideo, Uruguay; Remote.AR, Remote.LATAM-country; Remote.BR, Brazil; Remote.BG, Bulgaria; Remote.CO, Colombia; Remote.GE, Georgia; Remote.PL, Poland; Riga, Latvia; Rosario, Remote.LATAM-country; Sofia, Bulgaria; Tbilisi, Georgia; Varna, Bulgaria; Warsaw, Poland; Wroclaw, Poland; Yerevan, Armenia We are looking for a Solution Architect to own the solution architecture of Java services across Studio and Mosaic. The architect sets service boundaries, API and event contracts, persistence, identity, and integration patterns for authoring, governance, transformation, packaging, and delivery and stays close enough to the code to make those designs real in Micronaut services. Own solution architecture for Java services across authoring, governance, transformation, packaging, and delivery Define service boundaries and contracts for Studio and Mosaic, including assembler, resolver, LMS integration, content delivery, identity, and progress / learning-record services Design a canonical content model for modular lessons, topics, assessments, and media, and keep it stable across Java APIs and React experiences Define taxonomy and ontology services exposed through APIs so classification stays consistent across authoring, search, and delivery Architect workflows for approvals, versioning, quality gates, lineage, and audit trails Design standards-based transformation and packaging across XML, JSON, BITS, QTI, XLIFF, SCORM, xAPI, LTI, PDF, and ePub Lead integration architecture across the component CMS, taxonomy, translation management, search, publishing, and learner channels (including Canvas and Brightspace) Define AI-assisted drafting, tagging, enrichment, semantic search, and recommendation patterns, including how Java services call and govern those capabilities Establish human review checkpoints, attribution, prompt and model versioning, and traceability of AI-generated content Design identity and entitlement integration: Entra ID workforce SSO, Kong as the backend-for-frontend, JWT validation in Java services, LTI 1.3 learner federation, roles, paywalls, and secure access to published content Shape AWS runtime architecture for these services: Aurora PostgreSQL, S3 and CloudFront delivery, secrets, and container deployment Ensure end-to-end observability across authoring, classification, approval, transformation, delivery, and AI actions (OpenTelemetry, metrics, and correlated logs) Set engineering standards for OpenAPI, persistence (JPA and schema migrations), error semantics, and testability of the Java services 8+ years in solution, content, information, or enterprise architecture, with a substantial record of shipping Java services Production experience with modern Java (21+) service frameworks (Micronaut or Spring), Gradle or Maven, REST, and OpenAPI Experience with taxonomy and ontology platforms exposed through APIs Experience with translation workflows, translation memory, glossaries, and XLIFF exchange Knowledge of search and discovery architecture, including semantic search and recommendations Experience with publishing and transformation pipelines Familiarity with learning delivery standards and channels such as LTI 1.3, SCORM, xAPI, Canvas, and Brightspace Experience with API, event, workflow, and file-ingest architectures Strong cloud architecture experience on AWS (relational data, object storage, CDN, secrets, container platforms) Experience with gateway and session architecture, identity integration (OIDC/JWT, SSO, federation), and secure access patterns Familiarity with application stacks such as React front ends consuming Java services Experience integrating structured editors such as CKEditor with content models Experience with logical architecture across presentation, capability, content, integration, and infrastructure layers Hands-on Micronaut, Flyway, and PostgreSQL / Aurora Experience with Kong (or a similar API gateway) as a backend-for-frontend in front of Java APIs Experience with structured component CMS platforms and component-level content models Experience migrating legacy long-form content into modular reusable components Familiarity with xAPI learning-record stores and content analytics Knowledge of semantic standards such as SKOS or RDF Knowledge of content standards such as BITS and QTI Experience governing a canonical model across multiple vendor platforms Experience with OpenTelemetry and Prometheus-style metrics on JVM services

Компания •••• — глобальная компания по разработке программного обеспечения, объединяющая более 2400 специалистов в 40+ странах, работающая с лидерами отрасли и компаниями из Fortune 500. Специализация включает облачные технологии, данные, AI/ML, встроенное ПО, IoT и другие направления, обеспечивая цифровую трансформацию в финансах, производстве, телекоммуникациях, здравоохранении и других сферах. Роль Principal Solutions Architect предполагает ключевую руководящую позицию, формирование технологического направления, руководство межфункциональными инициативами и обеспечение высокоэффективной реализации проектов. Обязанности включают ведение сложных проектов от этапа исследования и консультаций до внедрения, наставничество архитекторов, развитие практик и вклад в стратегический рост компании. Задачи: — Ведение архитектурного видения и стратегических инициатив для портфеля корпоративных клиентов. — Развитие практик через создание фреймворков, методологий и повторно используемых активов для решений и консультаций. — Формирование и наставничество команд архитекторов и инженеров для повышения квалификации и технического уровня. — Консультирование руководителей C-level и технологических лидеров клиентов по цифровой стратегии и технологическим дорожным картам. — Контроль реализации архитектуры для соответствия лучшим практикам, поддерживаемости и долгосрочной ценности. — Руководство или участие в фазах исследования, оценках, технических воркшопах и аудитах архитектуры. — Преобразование сложных бизнес- и технических требований в масштабируемые архитектурные решения. — Ведение предложений решений на этапах предпродаж и допродаж, включая техническое видение, дизайн, управление рисками и оценку стоимости. — Руководство выполнением проектов с обеспечением соответствия архитектуры видению. — Оценка и внедрение новых технологий, согласование потребностей клиентов с перспективными архитектурными подходами. — Выполнение роли главного архитектора и руководство командой архитекторов на сложных проектах. Требования: — Более 10 лет опыта в разработке программного обеспечения и архитектуре решений. — Более 3 лет на руководящих архитектурных позициях в IT-сервисах или консалтинге. — Опыт ведения сложных консультационных проектов с глобальными корпоративными клиентами. — Опыт создания решений с нуля, предпочтительно для крупных распределённых систем (команда 30+, срок 12+ месяцев). — Глубокое понимание облачной архитектуры с практическим опытом работы минимум с двумя крупными облачными платформами (AWS, Azure, GCP). — Сильные знания микросервисов, API, интеграционных паттернов и проектирования распределённых систем. — Опыт наставничества и развития команд в матричной или консалтинговой среде. — Отличные навыки взаимодействия с заинтересованными сторонами, комфортное общение как с инженерами, так и с руководителями. — Владение современными практиками доставки: Agile, DevOps, CI/CD, Infrastructure as Code. — Английский язык на уровне Upper-Intermediate или выше. Желательные сертификаты: — SEI Software Architecture Professional, TOGAF или аналогичные. — Сертификаты облачных платформ (AWS Solutions Architect Associate/Professional, Azure Solutions Architect Expert). — Специализация в областях данных, безопасности или корпоративной интеграции является плюсом. Условия: — Гибкий формат работы: удалённо, в офисе или гибрид. — Конкурентная зарплата и компенсационный пакет. — Персонализированный карьерный рост. — Инструменты профессионального развития (менторство, технические доклады и тренинги, центры экспертизы). — Активные технические сообщества с регулярным обменом знаниями. — Возмещение расходов на образование. — Памятные подарки к юбилеям. — Корпоративные мероприятия и тимбилдинги. — Другие льготы, зависящие от локации (не применимо к фрилансерам).

Location: Stockholm, Sweden We currently have a vacancy for a Solution Architect fluent in English, to offer his/her services as an expert who will be based in Stockholm, Sweden. The work will be carried out either in the company’s premises or on site at customer premises. In the context of the first assignment, the successful candidate will be integrated in the Development team of the company that will closely cooperate with a major client’s IT team on site. Your tasks Support the development and implementation of long-term strategies in the required domain (business process, information, application and technology); Define and design as-is and to-be models for the domain; Define and develop architecture frameworks, concepts and methods; Facilitate development work with architecture support; Communicate and explain architecture deliverables; Create and maintain models in Sparx Enterprise Architect (or other tools); Ensure incorporation of security by design; Develop and maintain a comprehensive record of usability requirements and develop relevant IT Products. Requirements University degree with minimum 6 years of experience in IT or non university degree with minimum 12 years of experience in IT; Minimum 3 years of experience in enterprise architecture or domain architectures (business process, information, application and technology); Experience with Business Information Systems such as PRIME, ECMP, PHE Intranet; Experience with M365: SharePoint Online, Power Platform,Power BI and Azure; Experience with DevOps practices, CI/CD and automation, as well as programming/ scripting experience; Experience in the application of enterprise architecture frameworks and methods (TOGAF); Experience in modelling languages and concepts, such as ArchiMate; Experience using relevant IT architecture tools, such as Sparx Enterprise Architect; Knowledge of design patterns in big data, cloud solutions (Azure) and artificial intelligence and knowledge in public health would be considered an asset; A TOGAF (The Open Group Architecture Framework), SABSA (Sherwood Applied Business Security Architecture) or ArchiMate Certification will be considered an asset; Excellent command of the English language. Benefits If you are seeking a career in an exciting and dynamic company, where you will offer your services as part of a team of a major European Institution, operating in an international, multilingual and multicultural environment where you can expect real chances to make a difference, please send us your detailed CV in English, quoting reference: (18514/11/26). We offer a competitive remuneration (either on contract basis or remuneration with full benefits package), based on qualifications and experience. All applications will be treated as confidential. EUROPEAN DYNAMICS ( www.eurodyn.com ) is a leading Software, Information and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Stockholm, London, Nicosia, Hong-Kong, Valetta, etc). The company employs over 600 engineers, IT experts and consultants (around 3% PhD, 36% MSc and 53% BSc or equivalent). We design and develop software applications using state-of-the-art technology. The group generates annual revenues in the range of EURO 40 million, with an EBITDA in the range of 20%. The value of our contract portfolio exceeds EURO 250 million. EUROPEAN DYNAMICS is a renowned supplier of IT services to government institutions, multinational corporations, public administrations and multinational companies, research and academic institutes. As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion. EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published in www.eurodyn.com/privacy . By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorise ED to process your personal data for the purposes of the company's recruitment opportunities, in line to the Policy.

Основные требования: Локальный финтех-опыт: — Глубокое понимание АБС Fido-Biznes (архитектура, интеграционные интерфейсы, процедуры) — Практический опыт интеграции с НЦИ (NCI) — Знание специфики работы с карточными процессингами Uzcard и Humo (P2P, эквайринг, E-POS) Технический и продуктовый бэкграунд: — Опыт проектирования и запуска финансовых или банковских продуктов (кредитование, депозиты, карты, переводы, B2B/B2C банкинг) — Понимание современных архитектурных подходов (REST/SOAP, микросервисы, интеграционные шины) Чем предстоит заниматься: Обязанности: — Консультирование технического блока по архитектуре и локальной специфике банковского сектора — Помощь в проектировании интеграционных слоев с АБС Fido — Аудит разрабатываемых продуктов на соответствие требованиям — Участие в разработке, управление технической реализацией при переходе в штат. Будет существенным преимуществом: — Наличие собственных готовых финтех-продуктов, модулей или архитектурных наработок, которые кандидат может принести с собой и которые мы сможем переписать или адаптировать под наш проект. Что мы предлагаем: — Участие в масштабных финтех-проектах; — Возможность влиять на архитектурные решения и развитие продукта; — Гибкое начало рабочего дня: 09:00–18:00 или 10:00–19:00 по времени Алматы (GMT+5); — Команду, в которой ценят инициативу, прозрачность и профессиональное развитие; — Прозрачную систему развития: аттестации 2 раза в год; — Доступ к внутренним и внешним обучающим ресурсам; — Корпоративные мероприятия, реферальную программу и бонусную систему.

Location: Remote, Australia GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role Based in Sydney, as a Senior Solutions Architect in GitLab's ANZ team, you'll be a trusted advisor to GitLab prospects and customers in the region, helping them understand how GitLab's AI-powered DevSecOps platform addresses both technical requirements and business objectives across the entire software development lifecycle. You'll guide organisations through their digital transformation journeys, from planning through monitoring, using your technical expertise, understanding of cloud and modern software development practices, and strong customer empathy. You will partner closely with Account Executives and cross-functional teams, own technical evaluations, including proofs of value and workshops, shape solution architectures, and serve as the voice of the customer back to Product Management. You'll focus on driving successful platform adoption, influencing revenue growth through solution selling, and building long-term, trust-based relationships that showcase GitLab's differentiated position in an AI-driven DevSecOps landscape. What you'll do Lead technical discovery, demos, and validation to show how GitLab's AI-powered DevSecOps platform meets customers' technical and business needs across the full lifecycle. Drive the technical evaluation process as the directly responsible individual, including solution design, proof of concept or proof of value ownership, workshop design, and the technical components of tenders, audits, and value stream assessments. Collaborate with Account Executives and regional sales teams across ANZ to shape and execute account strategies that support new customer acquisition and expansion. Build and deepen relationships with technical practitioners and business leaders, guiding them through GitLab-driven transformation and enabling them to become GitLab advocates. Advise customers on modern software development, continuous integration, continuous deployment, security, and cloud practices, challenging existing approaches to improve return on investment. Serve as the voice of the customer with Product Management, Engineering, Sales, and Marketing by sharing feedback, use cases, and competitive insights that inform roadmap and positioning. Maintain and extend your technical expertise in GitLab, DevSecOps, AI, and related cloud technologies, creating reusable examples, best practice guidance, and technical collateral for customers and partners. Invest in your own growth and development through ongoing learning, mentorship, and knowledge sharing to continuously improve the impact of the Solutions Architect team. What you'll bring Experience engaging with customers in technical pre-sales, consulting, or similar roles, guiding them through solution design and evaluation. Proficiency with the end-to-end software development lifecycle, including modern DevSecOps practices and continuous integration and continuous deployment workflows. Hands-on experience with GitLab or comparable source control, continuous integration and continuous deployment, and collaboration platforms, and the ability to map platform capabilities to customer use cases. Practical knowledge of cloud computing concepts and related technologies, with the ability to discuss deployment, security, and operations options with technical teams. Ability to lead technical evaluations such as proofs of concept or proofs of value, contribute to tenders or audits, and design and run workshops or value stream assessments. Clear technical communication and presentation skills, with the ability to adapt messages for practitioners through to senior business and technical decision makers. Skill in building trusted relationships, listening with empathy, and acting as a customer advocate to internal teams such as Product, Engineering, Sales, and Marketing. Motivation to continuously develop professionally, including learning new technologies, deepening GitLab platform expertise, and applying transferable experience from related fields. About the team The Solutions Architect team is part of GitLab's Sales organisation and serves as the technical counterpart to Account Executives, with this role focused on opportunities across ANZ. The team helps customers realise the full value of GitLab's AI-powered DevSecOps platform by advising on architecture, running technical evaluations such as proofs of value, and guiding customers through digital transformation. We work closely with Sales, Product Management, Engineering, and Marketing, collaborating asynchronously across regions to share best practices, create reusable technical collateral, and act as the voice of the customer. The team is focused on helping customers modernise end-to-end software delivery, adopt GitLab at scale, and navigate a rapidly evolving AI and DevSecOps landscape. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Washington DC WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey is bringing its AI platform to the U.S. federal government — defense and civilian agencies whose legal, acquisition, and program teams are asking how to adopt AI responsibly. You will be Harvey's first Solutions Architect dedicated to public sector: the technical lead on federal opportunities, the person who designs how Harvey is deployed securely inside government environments, and the one who writes the playbook the rest of the team will follow. You will sit at the intersection of Harvey's platform, agency stakeholders (legal, IT, security, acquisition, and program offices), and our Security & Trust, Legal Engineering, Product, and Customer Success teams. This is an opportunity to help define how AI is adopted across the federal government and to build a flagship public-sector practice at one of the fastest-moving companies in applied AI. WHAT YOU'LL DO - Lead technical discovery and solution design for federal prospects and customers — defense and civilian — working with legal, IT, security, acquisition, and program stakeholders. - Design, document, and defend secure, compliant architectures for Harvey in government environments, including Harvey's FedRAMP High environment, identity and access patterns, integrations, and data-handling requirements (CUI, records retention, auditability). - Own the technical thread on a focused portfolio of high-impact federal accounts, from first conversation through rollout, adoption, and expansion. - Be the field-facing technical partner to Security & Trust on agency security reviews — FedRAMP High controls, DoD Impact Levels, ATO and authorization boundaries, NIST 800-53 — and translate them for program owners and counsel. - Work with Legal Engineers and Customer Success Managers to turn agency workflows and legal or policy use cases into concrete solutions, reusable patterns, and implementation playbooks. - Be the public-sector technical voice back into Harvey, synthesizing field feedback to inform roadmap, evaluation criteria, deployment options, and government-specific documentation. - Represent Harvey's technical perspective in public-sector forums — customer workshops, working groups, and stakeholder briefings — helping agencies understand both the possibilities and the limits of current AI systems. - Build the public-sector Solutions Architecture playbook — qualification, security review, deployment patterns, and enablement — so the practice can scale beyond one person. WHAT YOU HAVE - 7+ years in solutions architecture, sales engineering, forward-deployed engineering, or a similar customer-facing technical role. - Direct experience selling to or supporting U.S. federal customers (Department of Defense and/or civilian agencies) at a SaaS or cloud provider, including navigating agency security reviews and procurement. - Working knowledge of federal compliance frameworks and how they shape deployment — FedRAMP, NIST 800-53, DoD Impact Levels, ATO processes — and the ability to explain them to CISOs and program managers alike. - Hands-on depth in SaaS security and identity architecture: SSO/SAML, SCIM, encryption and key management, data residency, audit logging. - Clear communication with technical and non-technical audiences — from program managers and attorneys to CISOs and enterprise architects — and credibility with senior public-sector stakeholders. - Hands-on engagement with modern AI systems (LLMs, prompt design, evaluation, deployment patterns) and a desire to help agencies adopt them responsibly. - Comfort operating in an emerging practice area: energized by ambiguity, willing to build new playbooks, motivated by real-world impact on public services. PREFERRED - Prior government service or military experience. - Experience with Azure Government or other government cloud environments. - Experience selling through federal systems integrators or contract vehicles. - Background in legal, e-discovery, or other document-heavy enterprise workflows. COMPENSATION $218,800 - $300,900 USD OTE with a 80/20 split LOCATION Remote within Washington, DC area - travel approximately 25–40% to agency and partner sites. DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-TM1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai