Вакансии

Location: India We're looking for a Salesforce technical architect and engineering manager who can drive development velocity across a team of 10 to 15 engineers building enterprise applications on the Salesforce Platform. This is a hybrid role combining deep hands on technical leadership with people management. We're specifically looking for candidates with strong Salesforce expertise, Salesforce technical architecture experience, and Node.js development experience. What you'll do Lead the architecture, performance, and scalability of our Salesforce Platform and Node.js based services. While our applications are deployed primarily on AWS today, they are designed to be scalable and highly available, and you'll ensure architectural decisions follow Salesforce and cloud engineering best practices. You'll own the technical direction of our Salesforce applications, mentor senior engineers, and partner with Product and Engineering leadership to deliver high quality solutions quickly. You'll also manage a team of 10 to 15 developers by setting goals, conducting 1:1s, growing careers, hiring top engineering talent, and removing blockers. You'll balance roadmap delivery with engineering excellence, including code quality, system reliability, platform performance, security, and developer experience. Requirements What we're looking for 8+ years of software engineering experience, with 3+ years leading engineering teams. Strong Salesforce expertise, including Apex, Lightning Web Components, SOQL, Salesforce APIs, and Salesforce platform best practices. Proven Salesforce technical architecture experience designing scalable enterprise solutions. Strong Node.js background and a clear point of view on building maintainable services and integrations at scale. Experience integrating Salesforce with external systems using modern APIs and integration patterns. Deep understanding of software architecture, scalability, security, and performance optimization. Track record of improving engineering velocity, system performance, scalability, and deployment processes in production environments. Proven ability to grow engineers, hire well, and lead high performing engineering teams that consistently deliver results. Nice to have Experience with Salesforce DevOps, CI/CD pipelines, and deployment automation. Experience with AWS, cloud infrastructure, or enterprise SaaS platforms. Experience with Kubernetes, Terraform, or containerization technologies. Salesforce certifications such as Platform Developer I or II, Application Architect, or System Architect. Background scaling SaaS platforms or developer facing products.

Location: Canada We're looking for a Salesforce technical architect and engineering manager who can drive development velocity across a team of 10 to 15 engineers building enterprise applications on the Salesforce Platform. This is a hybrid role combining deep hands on technical leadership with people management. We're specifically looking for candidates with strong Salesforce expertise, Salesforce technical architecture experience, and Node.js development experience. What you'll do Lead the architecture, performance, and scalability of our Salesforce Platform and Node.js based services. While our applications are deployed primarily on AWS today, they are designed to be scalable and highly available, and you'll ensure architectural decisions follow Salesforce and cloud engineering best practices. You'll own the technical direction of our Salesforce applications, mentor senior engineers, and partner with Product and Engineering leadership to deliver high quality solutions quickly. You'll also manage a team of 10 to 15 developers by setting goals, conducting 1:1s, growing careers, hiring top engineering talent, and removing blockers. You'll balance roadmap delivery with engineering excellence, including code quality, system reliability, platform performance, security, and developer experience. Requirements What we're looking for 8+ years of software engineering experience, with 3+ years leading engineering teams. Strong Salesforce expertise, including Apex, Lightning Web Components, SOQL, Salesforce APIs, and Salesforce platform best practices. Proven Salesforce technical architecture experience designing scalable enterprise solutions. Strong Node.js background and a clear point of view on building maintainable services and integrations at scale. Experience integrating Salesforce with external systems using modern APIs and integration patterns. Deep understanding of software architecture, scalability, security, and performance optimization. Track record of improving engineering velocity, system performance, scalability, and deployment processes in production environments. Proven ability to grow engineers, hire well, and lead high performing engineering teams that consistently deliver results. Nice to have Experience with Salesforce DevOps, CI/CD pipelines, and deployment automation. Experience with AWS, cloud infrastructure, or enterprise SaaS platforms. Experience with Kubernetes, Terraform, or containerization technologies. Salesforce certifications such as Platform Developer I or II, Application Architect, or System Architect. Background scaling SaaS platforms or developer facing products.

Location: Brazil We're looking for a Salesforce technical architect and engineering manager who can drive development velocity across a team of 10 to 15 engineers building enterprise applications on the Salesforce Platform. This is a hybrid role combining deep hands on technical leadership with people management. We're specifically looking for candidates with strong Salesforce expertise, Salesforce technical architecture experience, and Node.js development experience. What you'll do Lead the architecture, performance, and scalability of our Salesforce Platform and Node.js based services. While our applications are deployed primarily on AWS today, they are designed to be scalable and highly available, and you'll ensure architectural decisions follow Salesforce and cloud engineering best practices. You'll own the technical direction of our Salesforce applications, mentor senior engineers, and partner with Product and Engineering leadership to deliver high quality solutions quickly. You'll also manage a team of 10 to 15 developers by setting goals, conducting 1:1s, growing careers, hiring top engineering talent, and removing blockers. You'll balance roadmap delivery with engineering excellence, including code quality, system reliability, platform performance, security, and developer experience. Requirements What we're looking for 8+ years of software engineering experience, with 3+ years leading engineering teams. Strong Salesforce expertise, including Apex, Lightning Web Components, SOQL, Salesforce APIs, and Salesforce platform best practices. Proven Salesforce technical architecture experience designing scalable enterprise solutions. Strong Node.js background and a clear point of view on building maintainable services and integrations at scale. Experience integrating Salesforce with external systems using modern APIs and integration patterns. Deep understanding of software architecture, scalability, security, and performance optimization. Track record of improving engineering velocity, system performance, scalability, and deployment processes in production environments. Proven ability to grow engineers, hire well, and lead high performing engineering teams that consistently deliver results. Nice to have Experience with Salesforce DevOps, CI/CD pipelines, and deployment automation. Experience with AWS, cloud infrastructure, or enterprise SaaS platforms. Experience with Kubernetes, Terraform, or containerization technologies. Salesforce certifications such as Platform Developer I or II, Application Architect, or System Architect. Background scaling SaaS platforms or developer facing products.

Location: Belgium We're looking for a Salesforce technical architect and engineering manager who can drive development velocity across a team of 10 to 15 engineers building enterprise applications on the Salesforce Platform. This is a hybrid role combining deep hands on technical leadership with people management. We're specifically looking for candidates with strong Salesforce expertise, Salesforce technical architecture experience, and Node.js development experience. What you'll do Lead the architecture, performance, and scalability of our Salesforce Platform and Node.js based services. While our applications are deployed primarily on AWS today, they are designed to be scalable and highly available, and you'll ensure architectural decisions follow Salesforce and cloud engineering best practices. You'll own the technical direction of our Salesforce applications, mentor senior engineers, and partner with Product and Engineering leadership to deliver high quality solutions quickly. You'll also manage a team of 10 to 15 developers by setting goals, conducting 1:1s, growing careers, hiring top engineering talent, and removing blockers. You'll balance roadmap delivery with engineering excellence, including code quality, system reliability, platform performance, security, and developer experience. Requirements What we're looking for 8+ years of software engineering experience, with 3+ years leading engineering teams. Strong Salesforce expertise, including Apex, Lightning Web Components, SOQL, Salesforce APIs, and Salesforce platform best practices. Proven Salesforce technical architecture experience designing scalable enterprise solutions. Strong Node.js background and a clear point of view on building maintainable services and integrations at scale. Experience integrating Salesforce with external systems using modern APIs and integration patterns. Deep understanding of software architecture, scalability, security, and performance optimization. Track record of improving engineering velocity, system performance, scalability, and deployment processes in production environments. Proven ability to grow engineers, hire well, and lead high performing engineering teams that consistently deliver results. Nice to have Experience with Salesforce DevOps, CI/CD pipelines, and deployment automation. Experience with AWS, cloud infrastructure, or enterprise SaaS platforms. Experience with Kubernetes, Terraform, or containerization technologies. Salesforce certifications such as Platform Developer I or II, Application Architect, or System Architect. Background scaling SaaS platforms or developer facing products.

Location: Belarus We're looking for a Salesforce technical architect and engineering manager who can drive development velocity across a team of 10 to 15 engineers building enterprise applications on the Salesforce Platform. This is a hybrid role combining deep hands on technical leadership with people management. We're specifically looking for candidates with strong Salesforce expertise, Salesforce technical architecture experience, and Node.js development experience. What you'll do Lead the architecture, performance, and scalability of our Salesforce Platform and Node.js based services. While our applications are deployed primarily on AWS today, they are designed to be scalable and highly available, and you'll ensure architectural decisions follow Salesforce and cloud engineering best practices. You'll own the technical direction of our Salesforce applications, mentor senior engineers, and partner with Product and Engineering leadership to deliver high quality solutions quickly. You'll also manage a team of 10 to 15 developers by setting goals, conducting 1:1s, growing careers, hiring top engineering talent, and removing blockers. You'll balance roadmap delivery with engineering excellence, including code quality, system reliability, platform performance, security, and developer experience. Requirements What we're looking for 8+ years of software engineering experience, with 3+ years leading engineering teams. Strong Salesforce expertise, including Apex, Lightning Web Components, SOQL, Salesforce APIs, and Salesforce platform best practices. Proven Salesforce technical architecture experience designing scalable enterprise solutions. Strong Node.js background and a clear point of view on building maintainable services and integrations at scale. Experience integrating Salesforce with external systems using modern APIs and integration patterns. Deep understanding of software architecture, scalability, security, and performance optimization. Track record of improving engineering velocity, system performance, scalability, and deployment processes in production environments. Proven ability to grow engineers, hire well, and lead high performing engineering teams that consistently deliver results. Nice to have Experience with Salesforce DevOps, CI/CD pipelines, and deployment automation. Experience with AWS, cloud infrastructure, or enterprise SaaS platforms. Experience with Kubernetes, Terraform, or containerization technologies. Salesforce certifications such as Platform Developer I or II, Application Architect, or System Architect. Background scaling SaaS platforms or developer facing products.

Location: Argentina We're looking for a Salesforce technical architect and engineering manager who can drive development velocity across a team of 10 to 15 engineers building enterprise applications on the Salesforce Platform. This is a hybrid role combining deep hands on technical leadership with people management. We're specifically looking for candidates with strong Salesforce expertise, Salesforce technical architecture experience, and Node.js development experience. What you'll do Lead the architecture, performance, and scalability of our Salesforce Platform and Node.js based services. While our applications are deployed primarily on AWS today, they are designed to be scalable and highly available, and you'll ensure architectural decisions follow Salesforce and cloud engineering best practices. You'll own the technical direction of our Salesforce applications, mentor senior engineers, and partner with Product and Engineering leadership to deliver high quality solutions quickly. You'll also manage a team of 10 to 15 developers by setting goals, conducting 1:1s, growing careers, hiring top engineering talent, and removing blockers. You'll balance roadmap delivery with engineering excellence, including code quality, system reliability, platform performance, security, and developer experience. Requirements What we're looking for 8+ years of software engineering experience, with 3+ years leading engineering teams. Strong Salesforce expertise, including Apex, Lightning Web Components, SOQL, Salesforce APIs, and Salesforce platform best practices. Proven Salesforce technical architecture experience designing scalable enterprise solutions. Strong Node.js background and a clear point of view on building maintainable services and integrations at scale. Experience integrating Salesforce with external systems using modern APIs and integration patterns. Deep understanding of software architecture, scalability, security, and performance optimization. Track record of improving engineering velocity, system performance, scalability, and deployment processes in production environments. Proven ability to grow engineers, hire well, and lead high performing engineering teams that consistently deliver results. Nice to have Experience with Salesforce DevOps, CI/CD pipelines, and deployment automation. Experience with AWS, cloud infrastructure, or enterprise SaaS platforms. Experience with Kubernetes, Terraform, or containerization technologies. Salesforce certifications such as Platform Developer I or II, Application Architect, or System Architect. Background scaling SaaS platforms or developer facing products.

Задачи: — Проектировать, разрабатывать и оптимизировать графы знаний на базе Neo4j. — Разрабатывать решения Graph-RAG для задач поиска, извлечения информации и использования AI. — Проектировать модели графовых данных, связи между сущностями и общие модели данных. — Создавать и автоматизировать пайплайны для загрузки, трансформации и обработки данных. — Работать со структурированными и неструктурированными наборами данных, включая профилирование, сбор данных, валидацию и проверки качества. — Разрабатывать масштабируемые потоки обработки данных с использованием AWS-сервисов. — Работать с потоковыми данными и обработкой на базе Kafka. — Участвовать в развитии архитектуры, управляемой метаданными, каталогов данных и принципов Data Fabric. — Участвовать в автоматизации data pipelines и разработке пайплайнов на базе AI-агентов. Требования: — Сильный практический опыт работы с Neo4j, включая моделирование графовых данных и оптимизацию запросов. — Практический опыт проектирования и реализации решений Graph-RAG. — Сильные навыки разработки на Python. — Опыт работы со stream processing и Kafka. — Практический опыт работы с технологиями обработки данных в AWS, включая AWS Glue, Data Catalog, Data Lake/Lake Formation и связанные сервисы. — Глубокое понимание data pipelines, data modeling и data architecture. — Опыт обработки как структурированных, так и неструктурированных данных. Будет преимуществом: — Опыт работы с PostgreSQL. — Сильный опыт построения data pipelines на AWS. — Опыт работы с LangChain, CrewAI или аналогичными агентными фреймворками. — Опыт автоматизации data pipelines с использованием AI-агентов. — Знание распространенных моделей данных, metadata-driven processing и принципов Data Fabric. — Опыт интеграции Knowledge Graphs с решениями на базе RAG/LLM. Требования по доступности: — Возможность частично пересекаться с рабочими часами по тихоокеанскому времени США (US Pacific Time), включая доступность до 11:00 AM PT. Условия: — Возможности для профессионального и карьерного развития. — Поддержка в получении профессиональных сертификаций. — Программа менторства. — Медицинская страховка. — Участие в корпоративных мероприятиях. — Гибкие форматы работы (гибридный или удалённый). — Оплачиваемый отпуск и больничные.

Location: United States (Remote) Workplace: Remote ABOUT ONEPAY OnePay is the consumer fintech trusted by millions of Americans to make money better. Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast. We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers. We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining. But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are: - Ready to run - Hungry and driven by urgency - Exceptional at what they do, with low ego - Comfortable operating in motion THE ROLE The @Work team is responsible for OnePay's employer benefit features, including Instapay, savings, and budgeting. As a Full Stack Engineer at OnePay, you will build simple and beautiful experiences for people's crucial daily interactions with their money, earnings, and pay schedules. WHAT YOU’LL DO - Lead technical design and implementation for projects powering our @work platform - Set architectural standards and ensure best practices in code quality, performance, and scalability - Partner closely with product, design, and operations to shape and deliver @Work product strategy - Oversee optimization of systems for reliability, security, and scalability - Own technical decision-making, balancing rapid delivery and sustainable solutions YOU BRING - 7+ years of experience building and scaling distributed systems, high-throughput APIs, or data-intensive services - Solid hands-on full-stack engineering skills, with proficiency in backend architecture and modern frontend frameworks - Experience designing or working on reliable, secure, and high-performance systems -ideally in payments, EWA, or other regulated consumer finance domains - Clear communication skills and a collaborative working style - Initiative and growth mindset - eager to learn and contribute as a team player TOOLS WE USE We use Typescript front to back, with node and NestJS frameworks for server code and React Native for our iOS, Android, and Web clients. We run on a highly distributed cloud-native stack with Kubernetes and AWS, and scale and resiliency are at the heart of everything we build. We also embrace agentic development, so engineers have their choice of a variety of models and agent harnesses, including Claude Code, Cursor, Codex, and more to fit their workflow. While you don't need experience with our exact stack, familiarity with modern software engineering practices will help you ramp up quickly. WHAT WE OFFER - Competitive base salary, stock options, and health benefits from Day 1 - 401(k) plan with company match - Remote-friendly (US), flexible time off (FTO), and opportunities for growth - A high-growth, mission-driven, inclusive culture where your work has real impact STANDARD INTERVIEW PROCESS Our process varies by role. Most candidates go through: - AI-assisted initial screen - Interview with Talent Partner - Technical or Hiring Manager Interview - Team Interview - Executive Interview - Offer! EQUAL EMPLOYMENT OPPORTUNITY To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.

Location: Remote - US About the Job: We’re looking for an Engineering Manager to lead LaunchDarkly’s Cloud Engineering team, the team responsible for the foundational infrastructure our products and engineering teams depend on. Cloud Engineering owns LaunchDarkly’s AWS accounts and networking, multi-region Kubernetes infrastructure, Terraform and GitOps workflows, CockroachDB operations, disaster-recovery capabilities, and FedRAMP infrastructure posture. The team is small, senior, and recently rebuilt. This is a frontline leadership role for a manager who treats operational health as a top priority, leads calmly through incidents, and creates leverage through software, automation, and reliable paved paths. In your first year, you’ll lead a marquee infrastructure insourcing program from planning through completion. The program’s cost savings will help fund additional team growth, giving you the opportunity to deliver meaningful business impact while strengthening the infrastructure behind LaunchDarkly’s next stage of scale. This role combines people leadership, operational ownership, and technical judgment. You do not need to be the most senior individual contributor in the room, but you should be comfortable partnering with experienced engineers, guiding tradeoffs, and creating an environment where the team can do its best work. Responsibilities: Lead and develop a senior Cloud Engineering team, providing clear expectations, coaching, feedback, performance management, and career-development support. Own the operational health of LaunchDarkly’s cloud infrastructure, including incident response, on-call health, service-level objectives, resilience, and disaster recovery. Launch and deliver a multi-quarter infrastructure insourcing program, including sequencing work, managing dependencies, communicating milestones, and ensuring a successful transition. Guide technical priorities and tradeoffs across AWS infrastructure, networking, multi-region Kubernetes, infrastructure as code, GitOps, datastore operations, and compliance-related infrastructure. Build leverage through software, automation, and paved paths that help product engineering teams use infrastructure safely and independently. Support migrations by providing guidance, patterns, and enablement while maintaining clear ownership boundaries with partner teams. Establish team norms for effective AI-assisted engineering and identify opportunities to reduce operational toil through AI and automation. Maintain team health and continuity through change, fostering an inclusive, collaborative, and accountable environment. Partner with Service Frameworks, Core Platform, Revenue Platform, Data Platform, and product engineering teams on shared infrastructure priorities and cross-team dependencies. Communicate roadmaps, operational risks, investment needs, and progress clearly to engineering leadership and cross-functional stakeholders. Participate in hiring and team planning as the organization grows. Qualifications: 2+ years of experience managing an infrastructure, platform engineering, or site reliability engineering team at a product company, including people management of an on-call team. Demonstrated ownership of incident response, on-call health, and service-level objective frameworks for critical production systems. Experience leading at least one multi-quarter infrastructure migration or insourcing program from planning through completion. Technical fluency with AWS, Kubernetes, and infrastructure-as-code practices, with the judgment to guide discussions and tradeoffs with senior engineers. Experience taking over an established team and maintaining engagement, performance, and retention through a leadership transition. A clear point of view on team norms and practices for AI-assisted engineering. Strong written and verbal communication skills, with the ability to explain technical and operational priorities to a range of audiences. A thoughtful, calm, and accountable leadership approach, particularly during incidents and periods of change. Nice to Haves Experience with vendor negotiations or cloud cost management. Experience supporting FedRAMP or other compliance-related infrastructure and operations. Experience operating large-scale datastores or OLAP systems. Experience growing a team through funded expansion. Pay: Target pay ranges based on Geographic Zones* for Level M2: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $191,800 - $263,670** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $172,600 - $237,270** Zone 3: All other US locations - $163,000 - $224,070** All Zones Inclusive of a 10% Bonus Target LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @ launchdarkly.com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: India About the Job: As a Senior Sales Engineer , you will be the technical partner to Account Executives, helping LaunchDarkly land and expand enterprise customers across the Indian market. You will guide technical discovery, deliver compelling demonstrations, lead proof-of-value engagements, and help customers understand how LaunchDarkly enables safer, faster software delivery. This role combines deep technical expertise with strong business acumen and the ability to translate complex technology into real business outcomes. You’ll work closely with engineering leaders, architects, and DevOps teams at large enterprises to help them modernize their software delivery practices. Responsibilities: Partner with Sales to Win Enterprise Deals Work closely with Account Executives to qualify opportunities and develop technical account strategies. Help customers understand how feature management and progressive delivery can transform software delivery. Participate in complex enterprise sales cycles and help secure technical wins. Lead Technical Discovery and Solution Design Engage with engineering leaders, platform teams, and architects to understand their software delivery challenges. Design solutions that demonstrate how LaunchDarkly integrates into modern development environments. Align technical solutions with customer business objectives. Deliver High-Impact Demos and Proof of Value Conduct compelling product demonstrations that highlight real customer value. Lead technical evaluations including proof-of-concepts, workshops, and hands-on trials. Guide customers through the evaluation process and ensure successful outcomes. Build Champions and Trusted Relationships Develop strong relationships with both technical and business stakeholders. Enable customer champions who can advocate for LaunchDarkly internally. Support customers throughout the evaluation process and beyond. Be a Technical Thought Leader Stay up to date on trends in DevOps, CI/CD, feature management, AI-driven development, and modern software architecture. Confidently communicate technical and business value to a range of audiences from developers to executives. Collaborate Across Teams Partner with Sales, Customer Success, Product, and Engineering to ensure successful customer outcomes. Provide feedback from the field to help shape the product roadmap. About You: Customer-Focused You enjoy helping engineering teams solve complex problems and improve how they build and deliver software. Strong Communicator You can clearly articulate technical concepts and connect them to business outcomes. Entrepreneurial Mindset You are proactive, take ownership, and thrive in fast-moving environments. LaunchDarkly Values You embody the qualities of being humble, hungry, smart, and energetic, collaborating effectively with both customers and internal teams. Qualifications: 5+ years of experience in Sales Engineering, Solutions Engineering, or Technical Pre-Sales in enterprise SaaS. Experience working with enterprise development teams and technical stakeholders. Strong understanding of modern software development practices , including: CI/CD DevOps Infrastructure as code Feature flags and progressive delivery Proven ability to run technical demos, workshops, and proof-of-concept engagements . Excellent communication and presentation skills. Experience supporting complex enterprise sales cycles. (Preferred) Background in software engineering, DevOps, SRE, or platform engineering . (Preferred) Experience with cloud platforms such as AWS, Azure, or GCP . (Preferred) Familiarity with Kubernetes and microservices architectures . (Preferred) Programming experience in languages such as Java, Python, Go, Node.js, or .NET . (Preferred) Experience supporting enterprise deals in large organizations (F500 / G2000) . About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @ launchdarkly.com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: US - Headquarters - Maryland - Columbia Who is Tenable? Tenable® is the Exposure Management company. Over 40,000 organizations around the globe rely on Tenable to understand and reduce cyber risk. Our global employees support 65 percent of the Fortune 500, 50 percent of the Global 2000, and large government agencies. Come be part of our journey! What makes Tenable such a great place to work? Ask a member of our team and they’ll answer, “Our people!” We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When you’re part of our #OneTenable team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together! Applicants must be authorized to work for any employer in the U.S. without sponsorship. We are unable to provide sponsorship for work visas of any kind at the time of hire, or at any point during employment. This includes, but is not limited to: F1-OPT, F1-CPT, H-1B, TN, J-1, etc Your Role: As an AI Security Engineer on Tenable's Information Security team, you will help shape and mature our approach to securing AI both within Tenable's products and across the enterprise. AI introduces a new class of risk at the intersection of application security, cloud risk, and data governance, and you will be on the front lines of defining how we assess, test, and address it. You will apply hands-on AI engineering experience alongside deep product security and application security skills to design security controls for AI systems, lead assessments, and help engineering teams ship AI features securely. You will establish security standards for responsible AI use, influence decisions across the organization, and build tooling that raises our security posture. This role is ideal for a practitioner who has spent real time building with AI systems, looking under the hood of model internals, and wants to channel that experience into a security specialty. Your Opportunity: Design, implement, and maintain end-to-end security controls across the AI/ML lifecycle. Conduct safety research, inspecting model internals (e.g., detecting hidden deception, latent knowledge, or unwanted concepts across layers) as a core methodology. Perform AI safety assessments and threat modeling for AI/ML systems, identifying risks such as data poisoning, model evasion, model extraction, adversarial inputs, and integrity attacks. Design and implement robust security guardrails, controls, and boundary mechanisms for Large Language Models (LLMs), Small Language Models (SLMs), and open-source models. Act as a subject matter expert in AI safety research by inspecting model internals to detect hidden deception, latent knowledge, or unwanted concepts, ensuring highly transparent and aligned AI outputs. Continuously monitor the AI landscape for novel vulnerabilities and attack techniques, applying deep engineering experience to proactively defend enterprise AI deployments. Develop security reference architectures for AI deployment patterns, including MCP servers and agentic AI workflows and harnesses. Deploy controls to ensure model integrity, governance, and proper access control across models and feature stores. Build AI-driven tooling to strengthen cybersecurity posture across identity, incident management, vulnerability management, third-party risk, and emerging AI threat vectors. Perform AI safety, security assessments, threat modeling for AI/ML systems, identifying risks such as data poisoning, model evasion, model extraction, adversarial inputs, and integrity attacks. Collaborate with software engineers, and product teams to integrate security best practices into AI development, training, validation, and deployment processes. Drive Secure Software Development Lifecycle (SSDLC) and DevSecOps practices for AI-powered products, including threat modeling, security testing, penetration testing, and CI/CD pipeline security automation. Create security guidance, documentation, and training for internal engineering and development teams; develop metrics that drive desired security behaviors and outcomes. Research emerging trends in AI security and contribute to innovative solutions that support Tenable's AI initiatives. What You'll Need: 5 or more years of professional experience in information security or application security, with at least 1–2 years focused on securing AI/ML systems. Master’s Degree in Computer Science, Cybersecurity, Data Science, or a related field preferred; advanced degree preferred. Deep understanding of AI-specific security threats, including adversarial ML, data poisoning, prompt injection, model inversion, model evasion, and inference attacks. Strong coding experience in Python and/or Go. Experience with frameworks & libraries such as PyTorch, Hugging Face Transformers, TensorFlow or similar. Experience using specialized interpretability and probing tools/libraries such as TransformerLens, NNsight, Captum, or LIT (Learning Interpretability Tool). Familiarity with mechanistic & Architectural Concepts: inspecting internal model states, residual streams, attention patterns, activation steering, Sparse Autoencoders (SAEs), or feature attribution. Strong understanding of the ML/AI lifecycle and the security risks associated with each stage. Knowledge of cloud security platforms: AWS, Azure, or GCP including AI/ML-related services. Knowledge of data security principles, including encryption, masking, and tokenization. Knowledge of SSDLC, DevSecOps, and security testing practices, including SAST, DAST, SCA, and threat modeling. Knowledge of application security architecture best practices and patterns, including modern web applications, Docker, and microservices. Ability to work cross-functionally across engineering, product, and business teams. Strong written and verbal comAAmunication skills; able to clearly translate complex AI security risks for both technical and non-technical audiences. Strong problem-solving skills, attention to detail, and ability to lead projects with end-to-end ownership. Self-motivated and effective working independently and across distributed teams. And Ideally: Hands-on experience with AI red teaming, adversarial prompt testing, or LLM security assessments. Familiarity of AI security frameworks and standards, including OWASP LLM Top 10 and the NIST AI Risk Management Framework. Experience with application security assessment tools (Burp Suite, ZAP, Tenable WAS, etc). Familiarity with AI governance frameworks (EU AI Act, NIST AI RMF, etc.). Background in cloud security or large-scale SaaS product environments. Security certifications: CISSP, CSSLP, SANS GIAC, CEH, or AI-focused security certifications are a plus, but not necessary. #LI-Hybrid #LI-MS1 This is the base pay range for this position. Compensation for the role will depend on a number of factors, including the candidate's qualifications, skills, competencies, location and experience, and may fall outside of the range shown. Employees are also eligible for variable compensation in addition to base pay (commission for sales roles, bonus for non-sales roles), depending on company and individual performance. Tenable also offers a variety of comprehensive and competitive benefits which include: medical, dental, vision, disability and life insurance; 401(k) retirement savings with company match; an employee stock purchase plan; an employee referral program; flexible spending accounts; an Employee Assistance Program (EAP); education assistance; parental leave; paid time off (PTO); company-paid holidays; health and wellness events; and community programs. US Pay Range $122,500 — $163,166.67 USD We’re committed to promoting Equal Employment Opportunity (EEO) at Tenable - through all equal employment opportunity laws and regulations at the international, federal, state and local levels.  If you need a reasonable accommodation due to a disability during the application or recruiting process, please contact Recruiting@Tenable.com for further assistance. Tenable Data Consent Statement Tenable is committed to protecting the privacy and security of your personal data. Depending on your location, one or more of the following notices may apply to you: General Applicant Privacy Notice California Applicant Privacy Notice EU/EEA/UK Applicant Privacy Notice

Location: Oakland, California, United States 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. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role We’re looking for a Staff Software Engineer, Backend to join our Reverse ETL product engineering team. Formerly Census, we were acquired in May 2025 to augment Fivetran’s warehouse-first data movement product story. Now we’re integrating our entire product directly into the Fivetran dashboard, bringing best-in-class data activation to every Fivetran customer. As a staff software engineer in Reverse ETL, you’ll be on the front lines of integrating data activation capabilities into the Fivetran product along every dimension – authentication, billing, data model, UI and more. You’ll be a senior member of a distributed, collaborative, agile team of engineers of varying experience levels and diverse backgrounds. This is a full-time position based out of our Toronto or Oakland office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration. Technologies You’ll Use Expertise in at least one interpreted language such as Python, Ruby on Rails, etc. Hands-on experience with at least one compiled language such as C++, Kotlin, Scala, Go, Java, etc. Solid understanding of relational databases (experience with data warehousing solutions (e.g., Snowflake) is a bonus) Proven experience in system integration, including API consumption and development (experience with infrastructure management is a bonus) Familiarity with leading cloud providers, such as GCP, AWS, or Azure Experience being on-call What You’ll Do Make contributions to all parts of our tech stack, which comprises Ruby on Rails, Typescript, Vue, and AWS. Be comfortable “filling in the gaps” in product / design specs. The prospect of being able to prototype to test ideas out before committing to building is exciting to you. Work closely with our product team, leaders, and customers to help design and develop features that make Fivetran the one-stop shop for data activation. Mentor early-career engineers, perform thoughtful and constructive code reviews, advise on best practices, provide project-level leadership, operate across teams, departments, and time zones. Lead major projects, from driving research spikes, to writing and socializing design documents, to planning the implementation and rollout Skills We’re Looking For Can build things end-to-end. Our engineers build, deploy and maintain their code. Is adept with data, backend systems, APIs, and UI components. Is customer-focused, with an eye for building delightful product experiences and developer experiences. Approaches new problems with a scrappy optimism, with a bias towards action. Thrives in ambiguous environments where you get to work directly with customers and make decisions that build trust and have a huge impact on the business. Present and available online for synchronous and asynchronous collaboration with a team distributed across North America. Able to work in-person in our Toronto/Oakland office 2 days per week. #LI-HYBRID #LI-AM1 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.  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. Oakland Pay Range $196,033 — $245,041.50 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.

Задачи: — Разработка и поддержка текущей инфраструктуры и CI/CD пайплайнов с использованием GitLab CI и ArgoCD — Поддержка развертывания приложений в тестовых и производственных средах — Настройка мониторинга и логирования, помощь в расследовании инцидентов Требования: — 7+ лет опыта в DevOps — Глубокий практический опыт работы с AWS SDK, Kubernetes, Docker и Terraform — Опыт работы с Helm, GitOps и инструментами мониторинга — Практические знания Linux, сетевых технологий и скриптов на Shell или Python — Английский C1 — Опыт работы с DevSecOps, Ansible или Go будет плюсом

Workplace: remote Location : Quantori is an international team: we have colleagues who work not only from office but also remotely from all over the world. Responsibilities : Design and run AWS infrastructure (VPC, IAM, EKS/ECS, S3, EventBridge) and manage it with Terraform across DEV, QA and Production environments Build and maintain CI/CD pipelines and a standardized deployment process for AI agent teams Keep the platform reliable in production: scaling, backups, secrets management, monitoring and alerting Put security best practices in place: network isolation, encryption, least-privilege access and SSO integration Containerize and deploy Python-based AI agents and backend services, and troubleshoot them in collaboration with the development team Develop Python-based automation and internal tooling for infrastructure management and deployment workflows What we expect : 5+ years of experience in DevOps/Cloud Engineering, including ownership of production environments Strong hands-on experience with AWS and Terraform Experience with Kubernetes (preferably EKS), Docker and Helm Experience with CI/CD tools: GitHub Actions, GitLab CI or similar Strong Python skills: writing automation and tooling, and reading, debugging and supporting backend services Experience integrating applications with identity providers via SSO (OIDC/SAML), e.g., Okta or Microsoft Entra ID Understanding of AI agent architecture and its components (LLM APIs, vector databases, agent frameworks) from an infrastructure perspective Ability to work independently and communicate directly with client stakeholders Nice to have : Familiarity with AI platforms and tools: AWS Bedrock, LangChain/LangGraph, vector databases (e.g., ChromaDB), Langfuse Experience with FastAPI Experience in pharma, life sciences or other regulated industries AWS certifications We offer : Competitive compensation Remote or office work Flexible working hours Continuous education, mentoring, and professional development programs A team with excellent tech expertise

Location: Seoul Workplace: OnSite ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role   • You'll be the catalyst driving the adoption and scaling of cutting-edge AI solutions. • You'll work at the intersection of innovation and impact, empowering businesses to leverage GenAI for transformative results. • You'll guide companies in integrating GenAI solutions, making AI a tangible part of their operations. • You'll drive the scaling of GenAI technologies, ensuring seamless transitions from concept to production. • You'll partner closely with our product and science teams to deliver state-of-the-art AI solutions tailored to client needs. • You'll tackle complex business problems with AI, delivering measurable outcomes and strategic advantages. • You'll contribute to the evolution of AI technology, influencing how businesses operate and compete in the modern world. • You will travel approximately 30 to 60% of your time. • Your role will involve spending time at the client’s office.   What You Will Do   Delivering value to the customers • Execute on effective technical discovery to understand potential clients' needs, challenges, and desired outcomes in collaboration with Account Executives. • Contribute to effectively identifying, qualifying, and disqualifying opportunities where Mistral solutions can unlock the most value for the customer. • On the project, Influence evaluation criteria and gain control of evaluations and the evaluation process • Create a strategic vision for the customer on the project, based on a deep understanding of their strategy, desired positive business outcomes, and required capabilities.   Product deployment • Guide and support customers in deploying our models and products into their infrastructure. • Work closely with customers to deploy relevant solutions according to their specific requirements. • Regularly liaise with the product and technical teams to relay feedback and suggest improvements. • Develop custom features for customers as needed.   Customer Onboarding • Responsible for onboarding customers on our products, providing guidance on deployment and integration • Ensuring the best production setup from the low-level GPU stack, up to infrastructure, back-end and front-end interfaces   Project management • Define and track success metrics of the POC being rolled out at customers. • Operate as a program leader, leveraging internal Mistral teams (Applied Engineers) as well as teams on the customer side to make sure project moves forward.   What We're Looking For   • You hold a degree in a relevant scientific field (e.g., Computer Science, Data Science, Engineering, etc.) • You have experience working as a DevOps, Site Reliability Engineer or Cloud Solution Architect • You're experienced with deploying and managing AI-based products in production environments • You are fluent in Python • You have experience with containerization technologies (Docker, Kubernetes), as well as CI/CD pipelines and automated deployment tools • You have a deep understanding of cloud platforms (AWS, Azure, GCP) and on-premise infrastructure • You have been involved in a customer facing role • You have strong project & stakeholder management skills • You have foundational knowledge in AI/ML/Data science • You have ability to connect technology and business value • You are result driven and resilient • Being familiar with sales qualification concepts is a strong plus   We are looking for adaptable team players who excel in a fast-paced environment and are ready to support pre-sales as well as deployment tasks, contributing to our shared goals and success.   Hiring Process (optional)   • Talent Acquisition screening call • 30min Hiring Manager Interview • 45min Business Acumen Interview • 60min System Design • Panel (Home Prep & Restitution) • 30min Value Talk • Reference check   WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Serbia; Latvia; Lithuania; Ljubljana; Moldova; Belarus; Georgia; Kyrgyzstan; Uzbekistan; Azerbaijan; Armenia; Czech Republic; Portugal; Spain; Dubai Workplace: remote About the Team We are Quadcode, a fintech company excelling in financial brokerage activities and delivering advanced financial products to our global clientele. Our flagship product, an internal trading platform, is offered as a Software-as-a-Service (SaaS) solution to other brokers. About the role We're looking for a Linux Administrator to join our Infrastructure team, responsible for building, operating and continuously improving all of our infrastructure services — from core services to observability and private clouds. Our infrastructure supports the stable operation of a large-scale trading platform and includes 2,000+ virtual machines and 300+ physical servers, running predominantly on Ubuntu. The stack ranges from core services like LDAP, PowerDNS and NTP, to an observability stack (Prometheus, Thanos, Loki, Grafana, Jaeger) and private clouds based on OpenStack and Kubernetes, as well as services such as GitLab, Artifactory and Vault. You’ll work in a team of experienced infrastructure engineers, using Scrum and Agile practices, with two-week sprints and a strong focus on automation, reliability and continuous improvement. The position is full-time remote, with a flexible start time — anytime before 12:00 pm EET/EEST. Why this role? You’ll be part of the team responsible for the production environment behind products used by millions of users, working directly with development teams, helping them troubleshoot infrastructure-related issues and keep their services running reliably in production. It’s a good fit for an engineer who enjoys troubleshooting, automation and making infrastructure more reliable and scalable, rather than simply maintaining servers. Tasks Oversee various services and associated infrastructure components, including DNS, Gitlab, Artifactory, Vault, Loki, Prometheus etc; Perform day-to-day operational tasks such as upgrades, CVE patching, backup and restore, security scans, and monitoring; Manage and support private clouds (Openstack and Kubernetes); Design, configure, maintain and troubleshoot Linux systems across different environments, including bare metal, virtual machines and containers. Resolve incidents, provide support coverage, categorize issues, conduct post-mortems, and perform root cause analysis; Ensure environments are stable and adhere to availability SLAs; Work towards reducing operational effort; Automate repetitive operational tasks and continuously reduce manual effort; Collaborate with development teams to troubleshoot infrastructure-related issues in production; Keep infrastructure documentation and operational procedures up to date; Engage in constant upskilling to stay updated with industry best practices. Requirements 3+ years of professional experience as a Linux System Administrator, DevOps Engineer, or Site Reliability Engineer, with a focus on infrastructure. Extensive experience in designing, building, configuring, and troubleshooting Linux servers across various environments (bare metal, container, cloud); Experience with Linux server configuration, maintenance and troubleshooting in production. Understanding of process control, logging and Linux service management. Experience with infrastructure services such as Vault, Artifactory, DNS and similar platform components. Proficiency with automation tools such as Chef, Ansible, or Salt; Experience with Docker, Kubernetes and containerized environments; Experience with monitoring and log aggregation tools like Grafana, ELK, or Graylog; Experience in deploying and maintaining systems on cloud solutions such as OpenStack, VMware, Proxmox, or public cloud platforms such as AWS, GCP, Azure. Skilled in scripting languages such as Bash and Python; Familiarity with configuring various servers and databases, including Apache Tomcat, Nginx, MySQL DB, PostgreSQL, Kafka, RabbitMQ, etc; Experience with DevOps tools and CI/CD workflows. At least C1 in Russian and B1 in English. Nice to have Hands-on experience with Kubernetes, including troubleshooting workloads and cluster-related issues. Hands-on experience with OpenStack, including deployment, configuration, maintenance or troubleshooting of private cloud environments. Hands-on experience with Chef. Experience with GitLab CI/CD, Jenkins or GitHub Actions. Experience working with fintech/trading, or other high-load and mission-critical systems. We offer Full-time remote work (service provider contract). Competitive compensation (EUR). Flexible working hours. Corporate AI subscriptions (Claude, Gemini, GPT, etc.). Access to a rewards marketplace offering products and language courses, redeemable using the company’s internal currency. A strong team of engineers. Positive and friendly atmosphere. With a team of 500+ creative and tech-driven people across the globe, Quadcode is the place where ideas turn into impact, where every project is a chance to grow, innovate, and make your mark. Join us today, and let's shape the future of fintech together! Note: All applications will be treated with strict confidence. We thank all applicants for their interest, however, only those candidates selected for interviews will be contacted. #LI-JM1

Location: Vilnius Job Overview We are looking for an Analytics Engineer who will own dbt Cloud in our organisation and maintain the analytics pipelines built on top of it. You will administer dbt Cloud across multiple independent projects, keep our business-critical pipelines running (including finance data models), and support analysts in other teams as a mentor and go-to person for dbt. Our stack is Snowflake, dbt and AWS, with Python for tooling and automation. We are also building AI-assisted and agentic workflows into our daily work, and you will take an active part in this. Reports to Director of Mobile and New Games What will you do? Administer dbt Cloud for the whole organisation: project setup, environments, permissions, CI/CD, version upgrades and cost control Set up and support multiple independent dbt projects, define common standards and conventions so teams stay aligned Develop and maintain production dbt pipelines, including complex finance models where accuracy and trust are critical Mentor analysts on dbt, SQL modeling, testing and code review Tune Snowflake performance and cost, improve pipeline reliability and monitoring Build tooling and automation in Python (AWS Lambda, S3, orchestration, metadata workflows) Drive AI adoption in our analytics engineering work: build common AI skills for dbt development (documentation, testing, code generation) and automated agentic workflows that the whole team can reuse Follow current trends in AI tooling and agentic systems, evaluate new approaches and bring the useful ones into the team What are we looking for? 4+ years of experience in analytics engineering, data engineering or a similar role Strong hands-on dbt experience, ideally including dbt Cloud administration (projects, environments, jobs, CI/CD), not only model development Strong SQL and data modeling skills Production experience with Snowflake, including performance tuning and cost awareness Python for data tooling and automation Experience with AWS services used in data platforms (Lambda, S3) Experience owning business critical pipelines: data quality testing, incident handling, communication with non-technical stakeholders Experience with mentoring or supporting analysts Fluent English What additional skills will help you stand out? Strong understanding of agentic AI workflows: practical experience building LLM based agents, AI skills and automated workflows for engineering tasks Experience with multi-agent setups (orchestration of several agents, subagents, agent-to-agent handoffs) Good understanding of current trends in the AI space and ability to judge what is actually useful for a data team Experience with multi-project dbt setups (dbt Mesh, cross-project references or similar) Experience with finance or revenue data (reconciliation, reporting-grade accuracy) Background in gaming, mobile apps or other consumer product analytics Familiarity with marketing and attribution data (AppsFlyer) or product telemetry dbt certification Work mode Hybrid (3 days of work from the office) This role isn't eligible for relocation & immigration support. The salary range for this role in Vilnius is EUR 4000-6500 monthly gross. Benefits Benefits and perks are tailored to the local market and culture. Our benefits in Vilnius include: Additional paid time off Sick Leave Compensation Pregnancy and Childbirth Leave Benefit Career development and education opportunities within the company Meal Allowance Premium Private Health Care Mental well-being program (iFeel) Perks discounts platform (over 450 exclusive discounts) Personal Gaming Account Coffee, fruits, and snacks in the office Company events Seniority Awards Referral program - You can recommend the best talents to the company and receive a reward Please submit your CV in English to ensure smooth processing and review. About Wargaming Wargaming is an award-winning online game developer and publisher headquartered in Nicosia, Cyprus. Operating since 1998, Wargaming has become one of the leaders in the gaming industry with 15 offices worldwide, including studios in Chicago, Prague, Shanghai, Tokyo, and Vilnius. Our diverse and multicultural team works together to deliver a top-class experience to millions of players who enjoy Wargaming's titles across all major gaming platforms. Our flagship products include free-to-play hits World of Tanks, World of Warships and World of Tanks Blitz. Please see Wargaming Candidate Privacy Policy for details on how Wargaming uses your personal data.

Location: Bangalore - Engineering Workplace: OnSite LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? YOUR MISSION UiPath Automation Suite https://www.uipath.com/product/automation-suite is a cloud native application delivery platform which enables UiPath to deliver the entire UiPath Automation Cloud platform onto on-prem customer data centre of choice (e.g. Cloud, BareMetal, virtualised hardware etc). This is complete containerised platform which heavily uses Kubernetes and CNCF technologies. This platform enables customers to install and run UiPath’s suite of applications on a single server or on hundreds of servers based on their need. WHAT YOU'LL DO AT UIPATH - As a Senior Software Engineer (SDE-3), you will lead development efforts within a team of engineers, driving the entire software development lifecycle—from initial ideation and design to implementation and scaling. You will ensure the software we are delivering is robust, scalable, production-ready and reliable. - Incubate new ideas and create a roadmap for your areas of focus. - You will take lead on analysing complex technical issues, technology choices and communicate them with the team and stakeholders in both written and verbal manner to drive consensus. - Act as a liaison between engineers in the team, product managers and other stakeholders. - Help hire and recruit technical talent, and ensure our technical deliverables meet the customer expectations. - You will be accountable for the software deliverables to meet all requirements of quality, security, scalability, modifiability, extensibility, testability etc. - You will help establish effective and agile engineering practices across our engineering teams. - You will be mentoring and providing technical leadership to a team of engineers. - You will act as a face of the product helping onboard customers/partners and ensuring their continued success. - You will analyse product usage and operational data to help drive systemic improvements across the product. - Adhere to security and compliance standards and work with security and compliance teams to identify and address relevant issues. WHAT YOU'LL BRING TO THE TEAM - Bachelor’s or Master’s degree in Engineering, Computer Science, or equivalent practical experience. - 7+ years of experience in developing large-scale applications. - In-depth knowledge of the CNCF ecosystem, including Kubernetes, its technology stack, and cloud-native tools. - Proficiency in one or more object-oriented programming languages such as Go (preferred), C#, Java, C++, Python, or Rust, with strong computer science fundamentals. - Hands-on expertise in data structures, algorithms, and their real-world applications. - Strong understanding of object-oriented programming, multithreading, synchronization, and cloud-native design. - Advanced knowledge of Linux, CI/CD pipelines (Azure Pipelines, ArgoCD, FluxCD), and microservices architecture. - Experience working with cloud platforms such as AWS, Azure, or GCP. - Proven expertise in building high-availability services, web service development, and service-oriented architectures. - Strong skills in system architecture, design, coding, debugging, and problem-solving. - Passion for delivering exceptional customer experiences, with a strong sense of ownership and accountability. - Proactive, adaptable, and entrepreneurial mindset with a bias for action. - Ability to take initiative, navigate ambiguity, and drive impactful results. - Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams. Nice to Have: - Expertise in writing Kubernetes controllers and operators to manage and extend Kubernetes functionality. - Experience building multi-tenant SaaS environments. - Familiarity with LLMs and leveraging Generative AI to accelerate application development. If you enjoy building software with a broad range of modern technologies and being part of a smart, agile team that is motivated by solving hard business problems with technology, come join us! 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.