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Location: Remote, US GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As an Senior AI Engineer at GitLab, you'll help build the foundation for GitLab's transformation into an AI-first company. Reporting to the Director, Enterprise AI, you'll be a hands-on technical leader responsible for delivering internal AI-powered solutions that drive measurable business outcomes. Building fast matters, but it's not enough on its own. This role starts with understanding the real problem: mapping how work moves across teams, tools, and handoffs, identifying the true constraint, and validating whether AI is the right solution before you begin development. From there, you'll take ownership from discovery through deployment, combining strong engineering skills with systems thinking and business understanding. Your initial focus will span Sales, Marketing, and Customer Support, where you will embed AI solutions into key systems and workflows. This role offers the opportunity to shape how GitLab team members work, improve flow across the organization, and help advance our mission in a remote, asynchronous, and values-driven environment. What you'll do Diagnose business problems before building solutions. Map workflows, identify constraints, and confirm whether AI is the right intervention. Be prepared to say "this doesn't need AI" when that's the honest answer. Own AI initiatives end-to-end, from stakeholder discovery and technical design through implementation, deployment, and iteration. Design, develop, and ship AI-powered solutions quickly, delivering working prototypes in days, not months, with a focus on practical outcomes and measurable business value. Improve organizational flow by building solutions that reduce bottlenecks, shorten lead times, and increase throughput. Measure success using flow metrics alongside adoption and ROI. Integrate AI capabilities into existing systems and workflows using APIs, orchestration tools, and modern AI platforms, including GitLab Duo Agent Platform, where appropriate. The right tool wins, whether that's custom code, a platform, or a well-crafted prompt. Be Customer Zero: leverage and showcase GitLab's AI offerings wherever possible, feeding real-world usage insights back to R&D. Partner closely with stakeholders across functions to understand the real constraints. Ask the right questions, bridge technical and non-technical perspectives, and align on outcomes before jumping to solutions. Define and track success through business metrics, flow metrics, and feedback loops that make performance visible and actionable. Contribute to technical direction by evaluating tools, documenting patterns, and creating reusable foundations that help the team scale its impact. What you'll bring A Technologist at Heart - Genuinely invested in technology, the foundational and the cutting-edge in equal measure. You're as energised by a well-designed API integration as you are by the latest foundation model release. You reach for the simplest solution that solves the problem well, rather than forcing new technology when proven approaches would do. AI is a powerful part of your toolkit, but it sits on top of solid engineering fundamentals, not in place of them. Competent, Confident Coding Skills - You can build working solutions end-to-end, write clean and maintainable code, and debug effectively. Whether your skills were honed in a traditional engineering role, through building automations, or shipping side projects, what matters is that you can deliver production-quality work independently. AI & LLM Technical Depth - Strong proficiency in at least one modern scripting language (Python, JavaScript/TypeScript, or similar) and a solid understanding of REST APIs, GraphQL, and integration patterns. Deep, practical experience with modern AI technologies, specifically: Prompt engineering as a core discipline: designing effective system prompts, managing context windows, structuring multi-turn interactions, evaluating output quality, and iterating systematically on prompt design. Model selection and cost-performance trade-offs: understanding when a smaller fine-tuned model outperforms a general-purpose large one, when RAG is the right architecture versus expanding the context window, and how to make principled decisions about capability versus cost. Agentic architecture patterns: tool use, multi-agent orchestration, human-in-the-loop designs, guardrails, evaluation frameworks, and production-grade reliability patterns.Practical fluency across the LLM ecosystem: hands-on experience with models from Anthropic, OpenAI, open-source alternatives, and the judgment to know which to reach for and when. AI Safety & Risk Awareness - You think critically about how the solutions you build could be exploited, misused, or produce unintended consequences. You know how to design appropriate guardrails (input validation, output filtering, access controls, prompt injection defences, and data leakage prevention) and you treat these as first-class engineering concerns. Systems Thinking & Diagnostic Rigour - The ability to look at a complex process and see the constraint. Comfortable mapping how work flows end-to-end, identifying bottlenecks, and tracing problems to root causes before proposing solutions. You instinctively ask "what's actually blocking flow here?" before asking "what model should I use?" Business System Expertise - Familiarity with the landscape of enterprise business systems, CRM (Salesforce), marketing automation (Marketo), support platforms (Zendesk), integration and orchestration tools (Workato), AI platforms (Relevance AI), and enterprise search and knowledge tools (Glean). You don't need deep experience with all of these, but to understand what they do, how they fit together, and be willing to build with and across them. A strong understanding of enterprise data models and workflows is essential. Broad Functional Understanding - Ability to have meaningful conversations with stakeholders across diverse domains and quickly understand their unique needs. End-to-End Ownership - Track record of owning complex initiatives from discovery through delivery. Comfortable operating with ambiguity and driving to measurable outcomes independently. Product Mindset - Ability to scope MVPs, prioritise ruthlessly, and deliver iteratively. In addition, consider adoption, user experience, and business outcomes. Preferred requirements Experience with GitLab platform and CI/CD workflows Background in consulting, solutions engineering, or customer-facing technical roles Familiarity with value stream mapping, flow metrics, or Theory of Constraints thinking Experience with low-code/no-code orchestration tools (n8n, Make, Workato) alongside custom development Previous startup or high-growth company experience Experience mentoring or leading technical projects with junior engineers About the team You will join the Enterprise Technology & AI team. We're the backbone of the organisation, driving transformation in how GitLab team members make decisions, operate at scale, and deliver results for our customers. We believe the best AI solutions start with understanding the system, not the technology. We value people who think in constraints and flow, who build with conviction, and who never stop learning. We work in an all-remote, asynchronous setting, guided by GitLab's values of collaboration, results, efficiency, diversity, inclusion and belonging, iteration, and transparency. 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 $108,400 — $129,600 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: Guildford Workplace: onsite With multiple awards to our name, Larian Studios has proven that we’re dedicated to delivering high-quality role-playing games As we move on to new projects, the studio that brought you Baldur’s Gate 3 & Divinity: Original Sin 2 is looking for a Level Designer to join the team and help us in crafting the high calibre games our fans have come to expect. Responsibilities Build white box versions of areas after consulting with all relevant parties Handoff areas to environment art, scripting, combat and cinematics while helping them elevate the experience Finalize areas for shipping Understand the role an area plays in the composition of the game experience, based on the narrative and design/creative directors briefing Know and apply all features and mechanics that are available to the player for exploration Reserve space for features that are in development but not available yet Be ready to throw away everything you made and start from scratch with a new perspective obtained through previous iterations Fix level design related bugs in your own or other peoples' areas Make sure the level is always playable and ready to go Requirements A design relevant degree Proven commercial experience in video game level design Ability to work well as part of a distributed, international team An extremely positive can do attitude Ability to give and receive feedback The ability to efficiently communicate designs through 2D mockups or flowcharts Ability to experience the game as a player An RPG gamer with a passion for narrative-driven games This is a full-time, on-site role, requiring your presence in the office to support collaboration and creativity Nice to Haves A background or degree in: Industrial Design, Architecture, Classical Art or Interaction Design What we offer An international team of over 600 employees spread across 7 studios around the world, each of which have their own unique qualities, and maintain a small-studio feel An open, collaborative environment where ideas are welcome and encouraged A managerial team consisting of highly experienced game developers at the top of their fields Sharing hobbies and passions with like-minded colleagues Inclusive environment with many activities organized by the studios or the employees Commitment to making the best game possible for the fans, including listening to community feedback

Location: Belgrade, Serbia Workplace: remote At Novakid, we’re building the world’s most engaging online English-learning platform for kids. With 80,000+ students and 2,500+ teachers across 15+ countries, we’ve proven the demand. Now we’re scaling up — and we want you to help us design and build the future of AI-driven education. We’re not just writing code. We’re creating a smart, personalized learning experience powered by modern AI models (OpenAI, Anthropic, Google, etc.), robust backend systems, and a passionate team that believes in changing how children learn. Your role We’re looking for a Senior+ Backend Engineer who’s ready to step beyond coding and take technical leadership responsibilities within our core platform team. You’ll be shaping architecture, mentoring engineers, and making strategic technical decisions that will directly influence how millions of kids learn languages. This is a hybrid role that combines: Deep hands-on coding in Python & modern backend technologies. Architectural leadership, designing scalable, reliable systems. What you’ll do Lead the design and evolution of our backend architecture (microservices, event-driven systems, AWS serverless, data pipelines). Drive technical decisions and ensure best practices in code quality, security, and scalability. Mentor and support backend developers, reviewing code and helping them grow as engineers. Design and build robust APIs and data flows powering AI-driven language learning features. Partner with Product and Data Science teams to turn cutting-edge AI models into real-world educational experiences. Anticipate technical risks, propose solutions, and balance speed with long-term scalability. What you bring 5+ years of professional backend engineering experience (Python 3.8+ is a must) Proven track record in system design, architecture, and scaling distributed systems. Strong knowledge of PostgreSQL, Redis, FastAPI, SQLAlchemy, Celery. Hands-on experience with microservices & AWS serverless stack (Lambda, SQS/SNS, EventBridge, etc.). Solid understanding of software engineering best practices: code reviews, testing, CI/CD, observability, security. Experience mentoring developers or leading technical initiatives. Fluent English (we work across 15+ countries). Nice to have Background in startups or high-growth environments. Exposure to edtech or e-commerce platforms. Interest in data-intensive systems Why join us? Shape the future of AI-powered education for kids worldwide. 100% remote, flexible schedule (core hours GMT+3). A small, highly skilled team where your decisions have direct impact. A culture of ownership, trust, and learning — we want you to grow into a Tech Lead / Architect role. Unlimited paid time off. Competitive compensation, bonuses, and stock options — we succeed together.

Location: Salt Lake City, Utah, United States About the Role iCapital is looking to hire a Full Stack Engineer Assistant Vice President to join the Post-Investment Technology team. This role will work end-to-end on new features, enhancements, and defect resolution on one or more of iCapital's software platforms. This individual will partner closely with the Product Management team throughout the software development process, detailing requirements, reviewing work in progress, and addressing issues found in manual test efforts. Responsibilities Develop web applications using TypeScript for the front end and Python for the back end. Demonstrate a strong grasp of system design, architecture, and trade-offs while mentoring junior engineers. Participate in architecture reviews and technical design discussions. Contribute to daily stand-up meetings. Engage in peer code reviews as part of the standard SDLC and change management processes. Qualifications 7+ years of software engineering experience building enterprise SaaS cloud-based solutions 5+ years of Python development experience 5+ years of hands-on experience with Typescript Technical leadership and management experience is a plus Demonstrated understanding of relational database concepts and modeling practices Familiar with cloud-based technologies (i.e. K8S and AWS) Able to work in an Agile or Kanban methodology Able to work independently or as part of a group effort, as required Strong problem-solving ability Excellent communication skills Collaborative approach to software development Benefits The base salary range for this role is $100,000 to $130,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: Armenia; Spain; Serbia; Poland; Kyiv City; Kyiv; Odesa; North Macedonia Workplace: remote About Provectus Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide.   Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture.   Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDE and an FDX, Forward Deployed Executives (FDX) own the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs. Forward Deployed Engineers (FDE) embed with a client, map the client workflow, identify the business problem underneath it, design and build a working AI solution, present to the client, and transfer the knowledge to the client's team. Owns technical direction of the whole solution. Senior AI Engineer. When an FDE comes back from the client with the business problem, you will help turn that into an agentic system that runs in production and will be responsible for evaluation, observability, and guardrails.  You'll have real ownership of components and of the technical decisions inside them. Requirements: Mindset Proactive and self-directed; you push for clarity rather than waiting for a ticket Excellent communication and problem-solving skills Comfort with ambiguity and ownership. B2+ English, comfortable collaborating across distributed, multicultural teams. Technical depth 5+ years in software or ML engineering, with production systems you were accountable for . Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes. Shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks. Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production. Strong engineering fundamentals. Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure. Python and/or TypeScript proficiency; depth matters more than stack. Dropped into an unfamiliar codebase, you're productive. Hands-on AWS in production: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus. Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release. Model and agent monitoring, drift detection. Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs. Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus. MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus. Responsibilities: Work in a pair with an FDE and an FDX. Build and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Build and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Integrate AI components into backend services and RESTful APIs Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD. Implement LLMOps and AgentOps practices: agent tracing, prompt and version management, cost and latency monitoring, regression testing, drift detection Start from the blueprint, contribute to enablement and handover: clear documentation, runbooks, and pairing with the client engineers who will inherit the system. Feed reusable components and lessons back into the Provectus Blueprints Participate in technical discussions and architectural decisions Conduct model evaluation, improve failure modes you find, optimize model performance, efficiency, and reliability Mentor junior and mid-level AI engineers, conduct code reviews and share knowledge across the team through documentation, presentations, and workshops. Nice to Have: Experience in one of the industries: financial services, insurance, healthcare. Consulting, professional services, or other embedded customer-facing delivery. AWS and Claude Code Certifications A2A: you can explain agent-to-agent interoperability CI/CD pipeline experience (GitHub Actions, GitLab CI) Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. Experience in an additional language (Go, TypeScript, or Rust). Experience with Apache Spark, Apache Airflow, Kafkа What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside FDE and FDX A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire:   Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant  HR Interview. Soft skills and expectations HM interview. Tech questions; a live engine

Location: Mexico; Colombia; Argentina; Honduras; Panama; Costa Rica About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe & Australia. Unlike an outsourcing agency, we place you directly with a client where you're hired in-house to work as a valued member of their team. Please note that by applying & completing our interview process, you will be added to our community. This means you’ll be considered for this and all other possible roles that may match your skills. These potential opportunities will be sent your way as an exclusive Huzzle candidate. Job Type: Full-time Location: Remote About the company Our client is an established digital marketing agency that specializes in building predictable growth systems for appointment-based businesses across the United States. With over 15 years of experience, the team focuses on helping professional service providers in the medical, legal, and home services sectors move beyond traditional advertising. By integrating performance marketing with advanced lead conversion technology, they solve complex systems problems through high-intent lead generation, automated follow-up sequences, and transparent, data-driven reporting. The team operates with a results-oriented mindset, utilizing a proprietary diagnostic framework to identify revenue leaks and optimize the entire customer acquisition journey. They pride themselves on a culture of accountability and innovation, focusing on measurable impact rather than vanity metrics. Candidates joining this growth-focused agency will work in a collaborative environment dedicated to transforming how businesses scale through sophisticated automation and strategic multi-channel marketing campaigns. Job Summary We are seeking a technically-adept Operations / Project Manager to bridge the gap between high-level AI strategy and day-to-day execution. In this role, you will oversee the deployment of "AI employees"—automated systems designed to scale businesses efficiently. This is a unique hybrid position that requires the presence of a client-facing lead and the technical logic of an entry-level AI engineer. You will be the primary point of contact for clients, ensuring their AI systems are functioning at peak performance while managing the project lifecycle from onboarding to optimization. Key Responsibilities Lead client onboarding sessions to gather requirements and define project scopes. Set up and manage complex AI workflows and automations using platforms like GoHighLevel and n8n. Perform hands-on adjustments to existing systems, including prompt engineering and logic updates. Use LLM tools (OpenAI, Claude) to design prompts and build simple automation strings. Serve as the primary liaison for client feedback, troubleshooting technical issues, and prioritizing bug fixes. Collaborate closely with the AI Engineering team to facilitate more complex technical implementations. Manage timelines and expectations to ensure projects stay on track and deliver high ROI for clients. Requirements Background in software, automation, or AI system management. Technical proficiency with tools such as GoHighLevel, n8n, Zapier, or similar automation platforms. Hands-on familiarity with LLMs (OpenAI, Claude) and the principles of effective prompt design. Strong project management skills with a proven ability to organize multiple workstreams. Excellent English communication skills with a professional, confident, and clear speaking presence. Ability to work comfortably within EST business hours. A "solution-oriented" mindset with the technical literacy to discuss AI architecture with both developers and clients. Previous experience in an agency environment or a high-growth startup. Advanced experience with API integrations and webhooks. Familiarity with CRM architecture and lead lifecycle management. Benefits 💰 Competitive monthly salary 🌎 100% remote work environment 🚀 Career growth at the intersection of AI and Operations 📈 Long-term stability in a rapidly expanding industry 🛠️ Opportunity to work with cutting-edge LLM and automation tools 🤝 Collaborative and forward-thinking team culture

Location: North America Workplace: Remote At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. As Linear moves upmarket, the gap between deal close and successful enterprise rollout has become our most important surface area. We're hiring an Implementation Manager to own that gap. You will be the single point of accountability from signed contract through successful go-live, coordinating across CSM, Solutions Engineering, Customer Education, Sales, and the customer's own teams to make every enterprise rollout repeatable, on time, and high quality. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in North America. EST time zone is preferred for this position. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you'll do - Own end-to-end implementation plans for enterprise customers: timeline, milestones, dependencies, risk, and stakeholder accountability - Run the handoff from Sales at deal close in partnership with Customer Success and Solutions Engineering: validate services scope, timeline commitments, complexity signals, and migration readiness - Coordinate workspace architecture, migration, and integration workstreams (SSO/SCIM, Slack, GitHub, Jira sync, custom integrations) across customer IT, Solutions Engineering, and engineering escalations - Build the enablement calendar in partnership with Customer Education, drive persona-based training plans, and run wave-by-wave rollout planning - Own go-live execution and the first 30 days post-launch: adoption tracking, rapid issue triage, and a structured handoff to the CSM - Define and enforce the services engagement model so every enterprise deal has a clear scope, deliverables, and boundaries before kickoff - Build the implementation playbook: turn each rollout into a documented, repeatable framework that scales with the business What we're looking for - 5+ years in implementation management, technical program management, or enterprise onboarding at a B2B SaaS company - Track record managing multi-workstream, multi-stakeholder enterprise rollouts (1,000+ user deployments preferred) - Deep fluency with structured project management: implementation plans, dependencies, owners, risk tracking - Ability to coordinate technical and non-technical teams without owning the technical execution directly - Strong executive communication: comfortable running a steering committee, delivering a VP-level status update, and working with a customer IT admin in the same day - Experience defining and enforcing services scope: scoping engagements, setting expectations on hours and deliverables, and managing scope creep - Bonus: familiarity with enterprise migration patterns, SSO/SCIM provisioning, integration configuration at scale, or experience working alongside Solutions Engineering or Professional Services What we offer We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect: - Competitive salary and equity - Employee-friendly equity terms including early exercise in the US and extended exercise windows - Daily meal and coffee stipend on every workday - Paid co-working space or desk - Health coverage (based on country requirements) - 5 weeks paid vacation, plus local statutory holidays - 4 months paid parental leave - Paid month off after 4 years & every 2 years thereafter - Regular team events and off-sites - Remote-first with no required commute Learn how we think and work: - A story about our mission: Read Me https://linear.app/readme - Our hiring process: How we hire at Linear https://linear.app/now/how-we-hire-at-linear - Our CEO and co-founder, Karri at 20VC: How to Grow Capital Efficiently in a World of BS Growth https://www.youtube.com/watch?v=4vqDYkuzbSM - Make an Org Chart You Want to Ship — Advice from Linear on How Heirloom Tomatoes Should Inspire Team Design https://review.firstround.com/make-an-org-chart-you-want-to-ship-advice-from-linear-on-how-heirloom-tomatoes-should-inspire-team-design/ - Building our teams: Why and how we do work trials at Linear https://linear.app/blog/why-and-how-we-do-work-trials-at-linear - A video series: Conversations on Quality https://linear.app/quality - Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear   Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app http://linear.app email address, and all open roles are listed at linear.app/careers http://linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to security@linear.app.

Location: Salt Lake City, Utah, United States About the Role The Full Stack Engineer at iCapital will work end-to-end on new features, enhancements, and defect resolution on one or more of iCapital's software platforms. You will work closely with our Product Management team throughout the software development process, detailing requirements, reviewing work in progress, and addressing issues found in manual test efforts. Responsibilities Web application development in React as front end and Ruby on Rails as a backend. Strong grasp of system design, architecture, and trade-offs. Able to mentor junior engineers effectively. Participate in architecture reviews and technical design. Active participation in daily stand-up meetings Active participation in Peer Code Reviews as part of our standard SDLC and Change Qualifications 5+ years software engineering experience building enterprise SaaS cloud-based solutions 4+ years of Ruby on Rails development experience or 5+ years of Python development experience 4+ years of hands-on experience with modern JS frameworks such as React 4+ years of front end and back-end test automation development using RSpec, Cucumber or similar Technical leadership/management experience is a plus Demonstrated understanding of relational database concepts and modeling practices. Familiarity with cloud-based technologies – K8S, AWS etc. Ability to work in an Agile / Kanban methodology Ability to work independently or as part of a group effort, as required Solid problem-solving ability Excellent communication skills Collaborative approach to software development Benefits The base salary range for this role is $100,000 to $130,000 depending on level.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: Manila, Philippines Workplace: hybrid At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Software Solutions Engineer to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. As a Software Solutions Engineer, you play an important role in the Innovation team, helping to scout, validate and fast-track new ideas that can shape the next generation of the BankWorks platform. The role is ideal for a curious, hands-on and solution-oriented personality who enjoys experimenting with new technologies, building prototypes and working closely with technical, product and operational teams. Responsibilities: ● Analyse technology trends in payments/fin-tech industry and adjacent sectors, maintaining up-to-date knowledge of technological developments. ● Convert rough concepts into PoC/MVP implementations, adhering to deadlines. ● Participate in and seek to continuously improve the software life cycle phases, focusing on designing, coding, documenting, testing and support ● Produce concise design notes, demo scripts, and handover documentation for smooth transition to other teams ● Collaborate effectively in cross-functional teams through pairing, brainstorming sessions, and knowledge sharing to meet defined objectives ● Contribute to and maintain the team's internal knowledge-base ● Ensure a high quality/standard of work and service throughout ● Communicate effectively and professionally with internal and external customers ● Perform other duties which may be assigned from time to time ● May be required to work extended hours to meet deadlines and/or be on-call ● Follow all company policies and procedures ● Diploma or Bachelor’s degree in ICT or related professional qualifications ● Solid understanding of the software development life cycle and agile/lean methodologies ● A strong sense of curiosity and willingness to learn new technologies ● Comfortable working in ambiguous, iterative, and exploratory settings ● Strong analytical reasoning, organizational and time-management skills with ability to prioritize tasks and meet deadlines under pressure. ● Be proficient in software development, with ability to use more than one of the following development languages: -Front-end: Java, Javascript, SQL -Back-end: Java, PL/SQL -Real-time: C/C++, PL/SQL, Lua ● Have good knowledge of the following relational database management systems -Oracle, PostgreSQL, MySQL ● Bonus points for experience or exposure to: o Modern software architecture patterns (microservices, RESTful services) o High-volume data streaming technologies (Kafka, RabbitMQ) o Scripting languages (e.g., Ruby, Python, Bash) o DevOps tools (e.g., Git, Jenkins) o Containerisation and cloud environments (Docker, Kubernetes) ● Able to work effectively in a collaborative team environment ● Meticulous, methodical and accurate in the completion of tasks ● Strong communication and writing skills in English ● Willing to work extended hours and be on-call when required ● Experience in writing software for the financial and/or payment industry is preferred

Location: IN - Jaipur This role supports the ongoing delivery of agentic AI–enabled automation across document-heavy and operational workflows. The intent is to move critical automation work off a high-cost contractor and into a lower-cost, full-time role without losing execution capability or momentum. The focus is on building and supporting automation.  This is hands-on delivery work that is well understood, repeatable, and already embedded in core operational processes. Responsibilities: Assist in building and enhancing agentic AI workflows that automate multi-step processes such as document intake, data extraction, validation, enrichment, and downstream routing. Support integration of AI / ML and LLM-based models for document classification, entity extraction, and metadata generation, and connect those outputs into end-to-end automated workflows. Build and maintain automation workflows and system integrations across document platforms, workflow engines, and operational systems. Assist with API integrations and data movement, ensuring secure, reliable flow between platforms with appropriate controls and auditability. Support production automation by monitoring workflows, troubleshooting failures, addressing defects, and improving reliability through logging, retries, and validation checks. Work closely with Product, Engineering, and Operations to translate known business requirements into implemented automation and to support ongoing enhancements. Contribute to documentation and standards so workflows are maintainable and not dependent on contractor knowledge. Qualifications: 6+ years of experience in data science, machine learning or AI-related roles, with 3+ years leading cross-functional initiatives at scale Experience operationalizing AI/ML or advanced analytics solutions in production, ideally within financial services, fintech, or data-driven platforms Strong understanding of LLMs, data science, AI/ML, and modern AI architectures, including model evaluation, context engineering, and agentic workflow automation Experience designing and implementing agentic AI workflows, including multi-step AI agents that automate complex processes and integrate with enterprise systems, data, and APIs Experience building or supporting production automation, ideally in document-heavy or regulated environments. Hands-on exposure to AI-driven data extraction, document processing, or NLP-based workflows. Familiarity with workflow orchestration, rules-based automation, and system integrations. Comfortable working within established patterns and under technical direction. Execution-oriented, able to support existing platforms and improve them incrementally. We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office four days, with the flexibility to work remotely one day (Friday). For additional information on iCapital Network, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc

Location: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. ABOUT THE ROLE We are seeking a mid-level Infrastructure Vulnerability Management Engineer with a strong background in Cloud Security, DevSecOps, and Infrastructure-as-Code (IaC). In this role, you will bridge the gap between security, compliance, DevOps, and Platform engineering teams. You will identify infrastructure misconfigurations, secure multi-cloud environments, and manage continuous vulnerability lifecycles across cloud workloads, containers, and data repositories to satisfy strict regulatory compliance frameworks. You will also serve as a technical infrastructure responder during security incidents, deploying real-time cloud or network countermeasures to protect our production ecosystem. WHAT YOU'LL DO CORE RESPONSIBILITIES - Infrastructure Scanning & Triage: Perform continuous security scanning across our cloud posture and workloads. Review, validate, and prioritize flaws and misconfigurations based on CVSS scores, real-world exploitability, and infrastructure network exposure. - Posture Management & Visibility: Own and optimize Cloud Security Posture Management (CSPM), Kubernetes Security Posture Management (KSPM), and Data Security Posture Management (DSPM) tools to ensure uniform compliance, prevent data leakage, and maintain hardened baselines. - Infrastructure-as-Code (IaC) Security: Configure, tune, and embed automated IaC security scanning tools into CI/CD pipelines to identify architectural risks (e.g., overly permissive IAM, public S3 buckets/Cloud Storage) before they are deployed to production. - Workload & Container Security: Manage the continuous vulnerability scanning lifecycle for container images, registries, and Virtual Machines (VMs), partnering with SRE and Platform teams to build automated base-image patching and rolling upgrade pipelines. - Compliance-Driven Tracking: Track, document, and manage infrastructure vulnerabilities according to strict compliance SLAs (e.g., SOC 2, ISO 27001, PCI-DSS). Maintain audit-ready evidence of infrastructure remediation timelines and exception approvals. - Executive Reporting & Alerting: Escalate and report critical production exposures directly to the CISO and senior leadership. Maintain dashboards and alerting mechanisms that visualize infrastructure risk trends and cloud compliance posture. - Remediation Collaboration: Partner with SRE, DevOps, and Platform teams to provide clear infrastructure mitigation paths. Assist in writing, reviewing, or modifying cloud configuration templates directly when necessary to resolve security flaws. - Incident Response Support: Assist Incident Response teams during active cloud or host-level breaches. Help develop and implement immediate, real-time cloud, network, or IAM configuration countermeasures to contain threats. REQUIRED SKILLS & EXPERIENCE - Experience: 5 years of experience in Cloud Security, DevSecOps, or Systems Engineering roles. - Cloud Infrastructure Depth: Strong foundational experience working with multi-cloud environments (Deep GCP expertise preferred, with working knowledge of AWS or Azure). - Posture Management & Scanning Tooling: Hands-on experience operating modern infrastructure security platforms such as Wiz, Orca, Prisma Cloud, Lacework, or cloud-native options (GCP Security Command Center). - IaC and Automation Fluency: Strong proficiency with Infrastructure as Code platforms (Terraform, Pulumi) and GitOps deployment workflows. Ability to evaluate and configure IaC scanners like Checkov, Tfsec, or KICS. - Containerization & Orchestration: Deep understanding of Docker/container security and Kubernetes architectures (e.g., GKE, EKS), including runtime security, network policies, and workload identity. - Compliance Awareness: Understanding of how infrastructure configurations and vulnerability management map to security compliance frameworks like SOC 2, ISO 27001, CIS Benchmarks, or NIST. WHAT WE VALUE - Systems Thinking: The ability to see the "big picture" and understand how security decisions impact the entire stack. - Technical Influence: The ability to drive technical alignment across the organization through expertise and collaboration rather than direct authority. - Autonomy: Comfortable leading major technical initiatives and driving outcomes with minimal oversight. - Problem-Solving Mindset: A passion for breaking down complex security challenges into elegant, scalable engineering solutions. This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: Bangalore Workplace: hybrid Merkle Science provides blockchain transaction monitoring and intelligence solutions for web3 companies, digital asset service providers, financial institutions, law enforcement and government agencies to detect, investigate and prevent illicit use of cryptocurrencies. Our vision is to make cryptocurrencies safe and provide infrastructure for the safe and compliant growth of cryptocurrencies. Merkle Science is headquartered in New York with offices in Singapore, Bangalore and London. The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon. The company has raised over US$27 MM from SIG, Beco, Republic, DCG, Kenetic, GGV and several others. Responsibilities ·  Optimize Hubspot Strategy for full funnel alignment with Marketing, Sales, and Customer Success teams. ·   Work with the Growth Marketing team to build and scale Merkle Science’s marketing operations & insights ·   function, creating the right marketing operations framework, automation, and reporting to accelerate our growth. ·   Standardize campaign processes around lead capture, data capture, assignment, notification and other workflows. ·   Develop reports that help the marketing team analyze key KPIs including marketing channel performance and effectiveness, funnel conversion rates, and other key conversion metrics. ·   Build the attribution model for the marketing organization and help clearly define the marketing impact on the growth of the company. ·   Manage ongoing projects and effectively communicate status across stakeholders. ·   Balance long-term projects with day to day changes and demands across a dynamic go to market organization. ·   Serve as primary system administrator for marketing operations platforms and integration points. ·   Draft documentation and update ongoing documentation around new and existing system architecture Requirements ·       2-4 years of experience in Marketing Automation / Marketing Operations in a B2B SaaS environment ·       Hands-on experience with HubSpot and Salesforce is a must ·       Attention to detail is your way of life. You nit-pick every little detail - from why a field is not populated, to why it is attributed differently, to why it is even spelt wrong. ·       You like to work in a team environment with a lot of cross-functional collaboration. ·       Bonus Points For Hubspot certification and/or SFDC certifications   ❤️ Well Being, Compensation and Benefits We care about your well-being. Along with excellent health insurance, we offer flexible time off, learning & development initiatives and hours that are designed to provide work/life balance.  We regularly host team-building sessions and encourage discussions around mental health.   We reward talent and believe in acknowledging people for their contributions.  We offer industry-leading compensation, along with generous equity.  As a rapidly growing business, there are endless opportunities to grow your career with Merkle Science.

Location: Hamburg adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we've become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually. Architecting Intelligence to Optimize 200M+ Daily Decisions As the intelligence core of our engineering organization, our Data Science team doesn't just deploy models, we engineer the fundamental decision engine that powers our platform. At a scale of 770 million users and 100,000+ predictions per second, we are solving a multi-objective optimization problem that balances user incentives, advertiser ROI, and long-term platform health in real time.  Our architecture is built on a 1PB+ behavioral data lake, providing the high-fidelity input necessary to train deep learning models that predict individual user engagement with precision. We aren't just optimizing clicks, we are dynamically calculating optimal reward structures to sustain a global value exchange.  Engineered for performance, our stack leverages Tensorflow and PyTorch for model training, NVIDIA Triton to achieve sub-100ms inference. We own the full ML lifecycle from high-level research and feature engineering to deployment and A/B experimentation. Here, you will find the autonomy, the data depth, and the massive scale required to solve the most complex optimization challenges in the adtech ecosystem. The data infrastructure behind this runs at real scale: 2TB ingested in real time every day, 100+ Airflow jobs and data pipelines, and ML models handling p99 latency of 100ms across 100,000+ predictions per second. As a Data Engineer on this team – you'll be building and maintaining the infrastructure that makes them possible: the Feature Store, the data pipelines, the data quality systems, and the data architecture that data scientists depend on to move fast. Your Mission & Who We Are Looking For: - Data engineering at ML scale. You have 5+ years in data engineering on a modern stack, with proven experience handling systems that process several TB of data per day and thousands of events per second.  - Flink is your default for real-time. You have hands-on experience with Apache Flink for stateful stream processing and real-time feature computation. You'll translate Data Science requirements into high-performance streams, enable Data Scientists to contribute new features and implement features yourself when needed.. - Pipeline bottlenecks don't survive long around you. You know how to identify and eliminate inefficiencies in complex ETL jobs, whether handling high-volume batch processing or real-time streaming systems like Kafka. At adjoe, data velocity is critical: slow pipelines directly impact model freshness and prediction quality at sub-100ms inference. - You think in layers, not tables. You move beyond raw data to design robust, multi-layered data architectures using dbt, and can reason confidently about storage formats, Data Lakehouse models, and what belongs where in a 1PB+ data lake. Familiarity with Medallion Architecture is a strong plus. - The bridge between Data Science and Backend. You've worked closely with Data Scientists on online ML systems with low latency requirements, and understand what it takes to make experimental research production-ready. Strong Java required; Go or Python a plus. - Owns quality, not just delivery. You implement data validation, monitoring, and governance processes in production, because in a system where model inputs directly drive advertiser ROI, data integrity isn't optional. Experience with Airflow, Kubeflow, AWS, Terraform, and Kubernetes is a strong plus.  🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team.  What’s in It for You? At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day. - Go Big. Own projects with impact on 770M users and push adtech boundaries. - Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum. - Be Direct. Solve problems openly and collaborate across teams. - Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other.   - Have Fun. Celebrate wins, enjoy daily victories, and bring your energy. We welcome applications from people who will contribute to the diversity of our company.

Location: Montenegro; Slovenia; Slovakia; Moldova; Romania; Poland The position is open for a global, publicly traded AdTech market leader. The company's platforms handle over 1 trillion requests per day, operating within a highly optimized real-time cloud architecture across dozens of servers and processing terabytes of data daily. The engineering team focuses on intense performance optimization, low-latency infrastructure, asynchronous data streaming, and cutting-edge GenAI research and development. Salary: upto $5,000 USD / month. Format: Full-time. Hybrid (Budva, Montenegro) or 100% Remote globally Contract Type: B2B Contract Responsibilities Design, scale, and maintain real-time advertising bidding systems (DSPs, RTB Exchanges, and SSP platforms). Optimize backend services using Java (Spring Boot / WebFlux) and Go (Golang) to meet strict low-latency SLA/SLO targets. Build and manage data-intensive architectures utilizing high-load storage solutions (Aerospike, ClickHouse) and event-driven messaging (Apache Kafka). Participate in R&D initiatives involving GenAI, integrating Agentic AI frameworks (LangChain, LangGraph, N8N) for workflow automation and predictive analytics. Take full ownership of features end-to-end, contributing to the frontend layer (React / TypeScript) for internal tools and dashboards when required. Requirements 5+ years of commercial software development experience with Java as the primary language. Deep knowledge of the Spring ecosystem (Boot, Data, MVC, Security, Cloud) and strong practical experience with reactive/asynchronous programming (Spring WebFlux / Project Reactor). Solid understanding of distributed systems, concurrency, and performance tuning at the JVM level. Strong verbal English skills at B2 level or higher, with the ability to explain architectural decisions and collaborate directly with a global engineering team during voice calls. Location outside of the Russian Federation due to contractual and payment restrictions. Candidates from Belarus are eligible only if they possess an active legal entity/IP in Georgia or Europe for international payments. Commercial programming experience or strong familiarity with Go (Golang). Hands-on experience with high-load and Big Data tools including Apache Kafka, ClickHouse, and Aerospike. Real-world experience or deep interest in LLMs and AI orchestration tools such as LangChain, LangGraph, or N8N. Familiarity with frontend development using ReactJS and TypeScript. Benefits Opportunity to work on production infrastructure handling 1 trillion + daily requests. Work within a team of senior engineers with direct impact on the platform's architecture. Choice between a fully remote schedule or a hybrid format from the office in Budva, Montenegro. Stable monthly payments in USD via international B2B contracts.

Location: Espoo Workplace: Hybrid Role Highlights: - Title: OBC & Comms AIT Engineer - Department: Global Manufacturing Organization - Reports to: AIT Engineering Team Lead - Location: Espoo, Finland - Type of Contract: Permanent - Working model: On-site - Employment is subject to applicable security screening (incl. SUPO, where required) About the role ICEYE is seeking an AIT Engineer to own the assembly, integration, and testing of on-board computer and communications subsystems at our Espoo headquarters. This is a hands-on technical role for an engineer with strong expertise in complex electronics and SDR-based communications systems, ready to contribute directly to spacecraft production and mission-critical troubleshooting in a fast-paced, high-cadence environment. What you will do - Serve as the primary technical point of contact for all OBC and Comms issues during manufacturing, integration, and testing - Conduct hands-on inspection, verification, and assembly of OBC and Comms subsystems hardware - Identify, contain, and drive root cause analysis of non-conformances; implement corrective actions and close feedback loops into design and production processes - Contribute to OBC and Comms design reviews, production ramp-up planning, and DFM/DFT improvements - Represent AIT Engineering across projects and disciplines, interfacing with design engineers, production leads, and other domain AIT engineers - Apply system-level understanding to anticipate integration risks across subsystem interfaces and ensure mission success - Produce and maintain technical documentation including test procedures, NCRs, and corrective action records What you bring Must have - 5+ years of hands-on experience in the development, integration, testing, or production of complex electronics and communications systems - Deep technical knowledge of electronics engineering and SDR-based communications systems, with system-level understanding across full hardware architectures - Demonstrated experience in multidisciplinary engineering environments, including mentoring engineers and technicians and driving cross-functional collaboration - Strong track record in DFM and DFT in high-reliability hardware environments - Familiarity with integration, verification, configuration management, and production ramp-up processes in complex hardware industries - Proactive, hands-on approach to problem-solving including structured root cause analysis - Continuous improvement mindset, with the ability to drive reliability and repeatability as production volumes scale - Ability to manage multiple projects and priorities simultaneously - Strong written and spoken English communication skills - Experience writing clear, traceable technical documentation Nice to have - Experience with issue tracking and configuration management tools - Familiarity with Python or AI-assisted tools for productivity and test automation - Rapid ability to structure and synthesize complex technical information and communicate conclusions clearly - Resilience and sustained motivation in high-pressure production environments - Transparency, humility, and an active growth mindset   Application Process - Talent Acquisition Interview - Hiring Manager General Interview - Technical Interview (onsite or virtual), including a Technical Challenge - Hiring Team + Director-level Interview - Offer Decision What We Offer at ICEYE At ICEYE, you will join a diverse and highly engaged team united by the ambition to make the impossible possible. We know that we will succeed only through exceptional people in our team, which is why your growth, well-being, and success are a priority. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. You will benefit from continuous professional development, training opportunities, and a ICEYE is a place where your contributions have a visible impact and where we celebrate success together.   Benefits - A job that matters in a dynamic Defence Technology and Earth Observation environment with a scale-up approach - An independent role with a supportive and diverse work environment - Time for self-development, research, training, conferences, or certification schemes - Health insurance - Creative, inspiring and collaborative office Our Commitment to Diversity, Equity, and Inclusion At ICEYE, we believe that diversity isn't just a buzzword – it's our greatest asset. We're committed to fostering an inclusive environment where every voice is not only heard but celebrated. We know that diverse perspectives breed innovation and creativity, which is why we actively seek out individuals from all walks of life, backgrounds, and experiences. Whatever your background, we want you to bring your authentic self to the table. Join us and be part of a team where differences are not only embraced but cherished, because together, we're stronger. We welcome applications from people of all backgrounds, including those who may need workplace adjustments. If you require any specific accommodations or assistance during the recruitment process for any reason, please let us know. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com

Location: Poland Company Background Our client is a fast-growing, multinational company in the sports tech and predictive gaming space, backed by leading investors and founders. The company operates fully remotely, with business operations in the U.S. and development teams across Europe. They foster a close-knit, respectful, and collaborative culture, placing strong emphasis on innovation, inclusivity, and user experience. The platform introduces a new approach to sports predictions by focusing on social engagement and entertainment, creating a community-driven experience that is fun, rewarding, and accessible to all sports fans. Project Description The project is a social sports gaming platform that offers free-to-play alternatives to traditional real-money sports betting. It allows sports fans to make predictions, compete for leaderboard positions, earn badges, build in-game status, and participate in sweepstakes promotions and loyalty rewards. The platform focuses on creating a fun, engaging, and community-driven sports gaming experience for users with different levels of interest in sports. Technologies Python, Django/FastAPI, asyncio Distributed systems, Microservices, Event-driven architecture Apache Kafka Docker, AWS (or other cloud providers) SQL, PostgreSQL CI/CD, Test automation Prometheus, Grafana What You'll Do Take full ownership of backend services from design and development through deployment, maintenance, and continuous improvement; Design, develop, and maintain scalable, high-performance distributed backend services using Python and Django; Architect distributed systems to support millions of users with low latency and high availability; Own critical backend infrastructure components, including APIs, data pipelines, message brokers such as Kafka, and caching; Optimize systems for throughput, latency, fault tolerance, and resilience under heavy load; Implement robust testing strategies, including unit, integration, and performance tests; Drive continuous improvement of development processes and system observability, including monitoring and logging; Collaborate with product, frontend, and DevOps teams to ship reliable features on aggressive timelines; Lead and mentor junior engineers through code reviews, architectural discussions, and knowledge sharing; Job Requirements 5+ years of experience in Python backend development; Solid experience with Django/FastApi and asynchronous programming using asyncio; Production experience with Apache Kafka; Strong experience with distributed systems, microservices, or similar architecture; Experience deploying and managing containerized applications using Docker; Familiarity with any cloud provider, preferably AWS; Proficiency with SQL databases, especially PostgreSQL; Experience with CI/CD pipelines and test automation; Knowledge of monitoring and logging tools such as Prometheus, Grafana, or equivalent; Strong problem-solving skills and experience with code reviews; Comfortable working in Agile teams; English level: B2 or higher; Nice To Have Experience with Kubernetes; Experience working with systems supporting 1M+ users; Experience with NoSQL databases; Exposure to event sourcing or CQRS patterns; Familiarity with frontend technologies such as React; Knowledge of big data tools such as Flink or NiFi; Exposure to infrastructure as code tools such as Terraform; Experience in the sports or betting industries; What Do We Offer The global benefits package includes: Technical and non-technical training for professional and personal growth; Internal conferences and meetups to learn from industry experts; Support and mentorship from an experienced employee to help you professional grow and development; Health insurance; Sports activities to promote a healthy lifestyle; Flexible work options, including remote and hybrid opportunities; Referral program for bringing in new talent; Work anniversary program and additional vacation days.

Location: Beograd, Serbia Workplace: hybrid About The Role: Join Paysend’s Automation and Efficiency team to help build and improve backend systems that support global payment operations at scale. This role focuses on designing and developing high-performance backend services and internal tooling used to process and analyze millions of financial transactions daily. You’ll work across distributed systems and data-heavy workflows where reliability, performance, and correctness are critical. This is a strong fit for engineers who enjoy solving complex backend and data problems, working across multiple services, and building systems that operate under real-world scale and operational demands. What You'll Do (Responsibilities): Design, implement, and maintain backend services and internal tools in Java, powering the processing and analysis of millions of financial transactions daily Own and evolve PostgreSQL -based data models, queries, and performance optimization across multiple services. Build and improve systems that automate operational and transaction-monitoring workflows at scale Work within a distributed microservices ecosystem, handling service communication, dependencies, and evolving integrations Contribute to the design and implementation of a new fraud monitoring platform built on the company’s modern technology stack Investigate complex production and operational issues, identify bottlenecks, and implement long-term improvements Collaborate closely with QA and Analytics teams to ensure systems are reliable, scalable, and operationally effective Monitor and improve system performance, observability, reliability, and scalability across services Contribute to CI/CD and deployment automation improvements across engineering workflows What You’ll Need To Be Successful In This Role: 5+ years of backend development experience with Java and Spring Strong hands-on experience with PostgreSQL in production systems Experience working with distributed systems and microservices architectures Experience with major cloud platforms, preferably AWS or GCP Strong engineering mindset with the ability to solve unfamiliar and complex technical problems independently Comfortable working across multiple services and technical domains Strong ownership mentality from implementation through deployment and operational support Ability to adapt quickly to changing technical and business priorities Great to have: Experience with CI/CD pipelines and deployment automation (GitLab preferred) Experience with Docker or other containerization technologies Hands-on experience with C# or Rust Experience in fintech, payments, fraud detection, or other transaction-heavy systems Bachelor’s or Master’s degree in Computer Science or a related field Why Join Paysend? Make a Global Impact: Join a company that is transforming how people and businesses move money around the world. Your work will contribute to products and services that help millions of customers stay connected globally. Own Meaningful Outcomes: We empower our people to take ownership, make decisions, and drive real impact. You'll have the opportunity to shape solutions, challenge the status quo, and see the results of your work firsthand. Grow with Us: As a fast-growing global fintech, we offer opportunities to learn, develop new skills, take on new challenges, and advance your career across functions and geographies. Collaborate with Exceptional People: Work alongside talented colleagues from diverse backgrounds and disciplines who are united by a shared ambition to build, innovate, and deliver great outcomes for our customers. Move Fast and Make Things Happen: We value action, curiosity, and continuous improvement. You'll be part of a culture that encourages experimentation, embraces change, and focuses on delivering meaningful results. Be Part of Our Journey: We're building the future of the global money movement. Join us at an exciting stage of growth where your ideas, expertise, and contributions can help shape what's next.

О компании: Глобальная финтех-экосистема, 16 лет на рынке. Объединяет процессинг платежей, мультивалютные бизнес-счета, BaaS и крипто-шлюзы в единую интеллектуальную инфраструктуру. Сейчас трансформируем инфраструктуру из human-operated финтеха в AI-native financial platform. О роли: Ищем Solution Architect / Agentic Systems Engineer Lead в Design Team. Вы будете владельцем технической архитектуры web-продуктов acquiring business line — payment pages, merchant dashboards, marketing websites. Плюс design и реализация AI-powered automation pipelines: от design-to-code до automated QA и design system management. Ключевые задачи: — Owner технической архитектуры web-продуктов: Angular SPA, NestJS BFF — Дизайн API и data flows между frontend и backend (PostgreSQL, MongoDB, Redis, Oracle) — PCI DSS compliance в payment-facing интерфейсах — Дизайн и реализация multi-agent pipelines: design-to-code, visual QA, component generation — MCP-серверы и tool integrations для AI-агентов команды — Менторство команды, architecture reviews, technical leadership Что важно: — 7+ лет в full-stack/backend, из них 2+ года в роли архитектора или tech lead — Подтверждённый опыт проектирования системной архитектуры (API, data flows, service interactions) — Production-опыт с PostgreSQL, MongoDB, Redis (schema design, оптимизация, кэширование) — Hands-on с LLM API — Понимание agent frameworks и паттернов (MCP, RAG, function calling, multi-agent orchestration) — Английский B2 Почему это интересно: — Реальный AI-native стек: multi-agent pipelines, MCP, agentic systems в production. — Архитектурная свобода + влияние на продукт уровня глобального финтеха.