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Location: Europe; Poland; Spain; India (Remote); Remote — Romania; Remote Europe; Kenya; Estonia; Portugal; South Africa Location: Global Remote (Flexible: Poland, Spain, Portugal, Estonia, Romania, South Africa, and Kenya) Employment Type: Fixed-term, 1 Year Overview Seeking a highly hands-on AI and automation engineer to design, build, and scale intelligent solutions, integrations, and workflows that improve customer experience, operational efficiency, and farmer impact. Brief of the Role Our client is a social enterprise founded in 2006 that equips 5.5 million smallholder farmers to make their farms more productive. Across nine countries that together are home to two-thirds of Africa's farmers, they provide high-quality farm supplies, tree seedlings, accessible credit, modern agronomic training, and a wide range of other agricultural services. On average, this model enables any farmer to increase their income and assets on supported land by more than 35 percent, while permanently improving their resilience. This is all made possible by a team of 9,000+ full-time staff, drawn from diverse backgrounds and professions. Their Kenya program, founded in 2006, operates under a local brand. Close to 500 staff at the Kakamega headquarters support 1,747 field staff and serve more than 1 million farmers. In Nairobi, around 50 staff support global functions like procurement, recruitment, government relations, and communications. Seeking a highly hands-on AI and automation engineer to design, build, and scale intelligent solutions, integrations, and workflows that improve customer experience, operational efficiency, and farmer impact. Your Background Knowledge - Bachelor's degree or higher in Computer Science, Software Engineering, Data Science, Artificial Intelligence, Engineering, Information Systems, or related technical field required - Strong understanding of artificial intelligence, automation, machine learning, analytics, and emerging technologies - Strong understanding of business process improvement, operational systems, and digital transformation principles - Good understanding of enterprise systems, integrations, software engineering, and technology platforms - Strong understanding of customer-centric design and technology adoption principles - Strong understanding of the organization's operating model, customer journeys, and strategic priorities Technical Skills - Strong AI engineering, automation engineering, and software development capability - Demonstrated experience building and deploying production-grade AI, automation, and intelligent workflow solutions - Strong solution design, systems-thinking, and workflow orchestration capability - Strong API, integration, middleware, and enterprise systems integration experience - Experience integrating AI capabilities into business processes, enterprise systems, and operational workflows - Ability to translate business challenges into practical AI and automation solutions - Ability to evaluate technical trade-offs and guide solution design decisions - Strong experimentation, analytical, and problem-solving capability - Ability to assess emerging technologies and determine practical business application Other - A proven track record of personally building and deploying production-grade AI and automation solutions, combined with a builder mindset for solving real-world business problems - Ability to balance hands-on delivery with effective team leadership, coaching, and mentorship to strengthen technical capability - Strong business and operational acumen, with the ability to navigate complex priorities and balance innovation against operational requirements - Proven ability to influence stakeholders and drive the organisational adoption of new technologies - A strong ownership mindset, with clear accountability for delivering measurable business outcomes and enhancing the customer experience - Driven by a passion for leveraging technology to improve farmer impact, combined with high learning agility and a commitment to continuous improvement Responsibilities & Expectations Drive AI and automation strategy to support organisational priorities - Partner with business leaders to identify opportunities where AI, automation, and intelligent systems can improve customer experience, operational efficiency, decision-making, and business performance - Translate organisational priorities into a clear pipeline of high-impact AI and automation initiatives - Support the development and execution of the organisation's AI and automation roadmap - Ensure AI and automation investments remain aligned to business priorities and deliver measurable value Design, build and deliver intelligent business solutions - Personally lead the full lifecycle (design, development, deployment, and scaling) of AI-enabled solutions, workflows, and automation capabilities - Architect and integrate AI solutions seamlessly across existing enterprise applications, data platforms, and operational systems - Build scalable, secure, and maintainable solutions that solve real business problems and fit specific operational needs - Balance innovation and delivery speed with long-term technical sustainability, risk management, and strategic requirements - Guide technical decision-making across AI, analytics, and process improvement initiatives - Maintain high engineering standards through rigorous architecture, code, and technical reviews Drive organisational transformation through AI and automation - Champion adoption of automation, AI, and intelligent ways of working across the organisation - Identify opportunities to simplify processes, reduce manual effort, improve controls, and enhance decision quality - Support the responsible adoption of emerging AI technologies and best practices - Ensure AI and automation initiatives are operationalised successfully and achieve intended outcomes Build a high-performing AI and automation team - Mentor engineers to strengthen AI, automation, and integration capabilities through hands-on guidance, pair-building, and technical reviews - Establish governance and operating standards to ensure consistent, high-quality execution - Drive a culture of innovation, accountability, and continuous learning - Deliver solutions that consistently meet business goals, timelines, and adoption targets Monitor performance and maximise business value - Monitor the performance, adoption, and impact of AI and automation solutions across the organisation - Proactively identify operational, technical, ethical, and adoption risks and implement mitigation strategies - Continuously improve the effectiveness, sustainability, and value realization of deployed solutions - Ensure the AI and automation portfolio continues to support long-term growth and strategic ambitions What You Can Expect from the Company Career Growth and Development We have a strong culture of constant learning, and we invest in developing our people. You'll have weekly check-ins with your manager, access to mentorship and training programs, and regular feedback on your performance. We hold career reviews every six months and set aside time to discuss your aspirations and career goals. You'll have the opportunity to shape a growing organization and build a rewarding long-term career. Comprehensive Benefits Health insurance, housing, and comprehensive benefits.

Location: Europe; Poland; Spain; India (Remote); Remote — Romania; Kenya; Estonia; Portugal; South Africa Build an Agricultural Enterprise's Automation Capability | AI & Automation Engineering Leadership | Hands-On Engineering + Business Partnership | Kenya-Based (Flexible for the Right Candidate) BRIEF OF THE ROLE Our client is seeking an exceptional AI and automation engineering leader to build their automation capability, lead high-impact solutions, and help scale farmer impact through hands-on engineering, business partnership, and technical leadership. Our client is a social enterprise supporting millions of smallholder farmers through farm supplies, financing, and digital services, currently investing heavily in an internal AI and automation engineering capability to support its long-term strategic ambitions. QUALITIES WE SEEK Knowledge - Master's degree in a relevant technical field (Computer Science, Software Engineering, Data Science, AI, Information Systems) or a Bachelor's degree with relevant certifications - Comprehensive understanding of how AI, automation, and software engineering drive organizational strategy and business performance - Expert knowledge of enterprise systems, automation platforms, digital transformation, and organizational change management - Deep understanding of the organization's operating model, customer journeys, and long-term strategic ambitions Technical Skills - Demonstrated expertise building and deploying production-grade AI, automation, and software solutions, including complex enterprise system integrations (APIs, middleware, third-party platforms) - Strong solution architecture and systems-thinking, with the ability to translate strategic business priorities into scalable technical roadmaps and identify practical applications for emerging technologies - Proven ability to guide technical decision-making, evaluate complex trade-offs, and conduct rigorous architecture and code reviews - Robust portfolio management and prioritization capabilities to ensure sustained, high-impact delivery Other - Proven track record in hands-on delivery of production-grade technology solutions, balancing deep engineering contribution with effective leadership and capability building - Strategic leader with strong commercial and operational acumen, capable of influencing senior stakeholders and driving organizational change amidst ambiguity - Ownership-driven mindset, accountable for delivering measurable business outcomes and passionate about leveraging technology to maximize farmer impact RESPONSIBILITIES & EXPECTATIONS Set and Drive AI Strategy, Automation, and Engineering: Partner with senior leadership to identify how automation, AI, engineering, and technology can accelerate strategic priorities and farmer impact; translate business needs into a clear engineering and automation roadmap; evaluate emerging technologies and recommend investments that improve customer experience, operational efficiency, scalability, and financial sustainability; act as a strategic thought partner to business leaders on opportunities, trade-offs, risks, and innovation priorities. Lead the Design and Delivery of Scalable AI, Automation, and Business Solutions: Ensure automation, AI, enterprise systems, integrations, and software solutions are designed to solve real business problems and deliver measurable value; guide solution architecture and engineering decisions to balance speed, quality, sustainability, and scalability; personally contribute to the design, review, prototyping, and delivery of high-priority automation, AI, integration, and software initiatives; conduct architecture reviews, solution reviews, and technical quality assessments; establish and oversee integration standards across enterprise systems, AI platforms, automation solutions, middleware, APIs, and third-party technologies; ensure business systems exchange information reliably and efficiently; oversee the successful delivery, adoption, and performance of the automation and engineering portfolio. Build and Strengthen AI & Automation Engineering Capability: Lead, coach, and develop a high-performing engineering team, fostering a culture of ownership, innovation, and disciplined execution; establish robust governance and performance standards (SOPs) to ensure consistent delivery excellence, reliability, and continuous improvement; build long-term technical leadership and succession pipelines by mentoring specialists in AI, automation, and integration aligned with strategic goals. Drive Organizational Transformation Through Automation and AI: Champion the adoption of automation, AI, and modern engineering practices across the organization; identify opportunities to simplify processes, improve decision-making, reduce cost-to-serve, and enhance customer experience; ensure automation and AI initiatives are delivering measurable operational and business impact; position the organization as a leader in the practical application of technology within agricultural operations. Provide Stewardship of the AI & Automation Engineering Portfolio: Monitor the health, performance, value realization, and sustainability of engineering investments across the organization; proactively manage technical, operational, and delivery risks; balance immediate delivery priorities with long-term platform, capability, and organizational needs; ensure the engineering portfolio continues to support business growth, resilience, and future strategic ambitions. Maintain External Awareness and Organizational Influence: Stay informed on industry trends, emerging technologies, and leading engineering practices; build strong partnerships across the organization and external technology ecosystems; represent engineering and automation priorities in strategic discussions and planning forums; continuously elevate the organization's understanding and effective use of technology. WHAT YOU CAN EXPECT FROM THE COMPANY Career Growth and Development: A strong culture of constant learning and investment in people - weekly check-ins with your manager, access to mentorship and training programs, and regular feedback on your performance. Career reviews every six months, with time set aside to discuss your aspirations and career goals. The opportunity to shape a growing organization and build a rewarding long-term career. Comprehensive Benefits: Health insurance, housing, and comprehensive benefits.

Location: Poland Workplace: remote Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users,  agents, or scale. We help midsize and large organizations run customer workflows in the AI era. Headquartered in  Boston, MA, with a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100  countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.  We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.  In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture. Who We’re Looking For Technical Advisor to join our Global Customer Support Division. In this role, you will support enterprise customers in the successful operation, optimization, and strategic use of the Creatio platform with a focus on the MEA/America/Europe region. You will act as the primary technical point of contact, developing a deep understanding of each customer’s architecture, business objectives, and system configuration. Combining strong troubleshooting expertise with a proactive, advisory approach, you will provide guidance, preventive monitoring, and technical consultations to ensure platform stability, maximize value, and support long-term customer success. Responsibilities Technical Account Ownership: Be the dedicated technical contact for assigned enterprise accounts. Ensure full visibility and ownership over all technical matters, escalations, and platform usage challenges. Escalation Case Management: Collaborate closely with Support, Product, and RCD teams to resolve and manage critical incidents, coordinate escalations, and ensure SLA compliance for technical cases. Proactive Monitoring and Risk Prevention: Continuously monitor system performance and health. Identify potential risks, inefficiencies, and bottlenecks, providing actionable recommendations to mitigate them before they impact the customer. Platform Enablement Consulting: Guide customers on platform best practices, new feature enablement, system architecture, and performance optimization. Deliver tailored recommendations that align with their business roadmap. Strategic Engagement Advocacy: Participate in QBRs and strategic reviews. Provide feedback to internal teams based on customer needs. Influence roadmap decisions through structured customer insights. Requirements 4+ years of experience in enterprise technical support, professional services, or TAM/TA roles (preferably in B2B SaaS). Experience with the Creatio platform or similar low-code/no-code solutions, as well as CRM systems or SaaS platforms, is considered a plus. Hands-on experience with APIs, integrations, SQL (as a language), cloud infrastructure (IIS server, Redis server, SQL server), and performance tuning (monitoring tools e.g. Grafana, Zabbix). Experience in managing technical relationships with enterprise customers. Ability to lead technical workshops, explain complex ideas clearly, and influence outcomes. Advanced English. Proactive, customer-first mindset with strong ownership culture. Professional competencies Platform architecture configuration: Strong understanding of platform architecture, system capabilities, deployment models (cloud/on-prem), and integrations within CRM or enterprise SaaS environments. Technical troubleshooting diagnostic skills: Strong analytical mindset for investigating system issues, performance degradation, and cross-component dependencies. Preventive support mindset: Ability to proactively detect trends and prevent escalations using monitoring tools, AI alerts, and system logs. Communication stakeholder engagement: Capable of translating complex technical topics for non-technical stakeholders. Skilled in managing executive relationships. Collaboration cross-functional influence: Experienced in working alongside support, customer success, and product teams to ensure seamless delivery of services. Process and automation orientation: Familiarity with DevOps, CI/CD pipelines, and self-service enablement practices to improve scalability and efficiency. What you should expect from us Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential. Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally. Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one. Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve. Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.

Location: Warszawa, Poland Workplace: remote We are looking for a Senior/Expert Technical Artist to help us create high-quality materials and technical art solutions for Frostpunk 1886 . You will work closely with artists and programmers, build shaders and tools in UE5, and help keep assets optimized and production-ready. What will you be doing on a day-to-day basis? Create high-quality materials and shaders in UE5. Build and maintain Blueprint- and code-based tools for the art team. Create and update documentation for tools, workflows, and engine limitations. Help with optimization, profiling, and debugging in the final product. Work with Art Leads, Technical Directors, programmers, and QA to make sure assets meet technical requirements. What will help you succeed in this role? For a senior position: Good knowledge of UE materials and shading workflows. Solid understanding of the UE5 rendering pipeline, including PBR and post-processing. Experience with UE Blueprints for tools or gameplay-supporting systems. Practical approach to problem-solving and a good understanding of optimization. At least one shipped title or completed commercial project. For an expert position, we also require: Deep, production-proven knowledge of UE5 materials, shaders, and rendering. Experience designing scalable material, shader, and technical art workflows. Strong understanding of GPU performance, profiling, and optimization. Ability to take ownership of complex technical and visual problems and drive them to resolution. Experience mentoring other artists and defining technical best practices. Please remember to include your portfolio (link or file) with your application, as this is one of the evaluation criteria. Nice to have Knowledge of VFX or lighting. Experience with procedural workflows (e.g. Substance Designer or other node-based tools). Familiarity with shader languages such as HLSL or GLSL. Background in 3D software such as Blender, 3ds Max, or Maya. Experience working closely with both artists and programmers. What we offer? Health and Wellness psychological support/care private medical package Multisport Development team training budget in-office library Our office near Metro Stadion Narodowy and Dworzec Wschodni stations dog-friendly in-house gym no dress code car and bike parking chill zone video, board and arcade games Working conditions flexible working hours hybrid work (3 days from office, 2 days from home + additional pool of remote days per year) 20 or 26 days of fully-paid holiday leave international working environment Events and more attendance in game dev events relocation budget for candidates from abroad referral program annual company events merch/swag

Location: Wrocław, Poland What is Box? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. Why Box needs you: We are looking for a Machine Learning Engineer to design, build, and operate reliable machine learning systems that deliver meaningful product impact at enterprise scale. In this role, you will combine strong software engineering and applied machine learning skills to take solutions from idea through production. You will work closely with engineering, product, data, and infrastructure partners to develop scalable ML and agentic capabilities, improve model quality, and ensure that systems are secure, observable, and dependable for Box customers. The Metadata Extraction team builds AI-powered capabilities that transform unstructured enterprise content into structured, usable metadata. The team works on the platform and machine learning layer of document understanding, developing and operationalizing technologies such as OCR and LLM-based extraction agents. These capabilities help understand document layout, tables, handwriting, semantic content, and other complex information within enterprise documents. As a Machine Learning Engineer, you will build reliable, scalable systems that support the development, evaluation, deployment, and operation of these AI capabilities. You will collaborate with engineers, product partners, and adjacent platform teams to bring document intelligence features to Box customers at enterprise scale. What you'll do: Design, build, deploy, and maintain production LLM agents, machine learning models and services. Develop robust data preparation pipelines, prompt and tool design, and agentic workflows. Write high-quality, maintainable, and well-tested Python code for production systems. Partner with Product, Software Engineering, Data, and Infrastructure teams to translate customer and business needs into ML-powered capabilities. Evaluate and improve agents quality using appropriate offline and online metrics, eval sets, experiments, and feedback loops. Monitor production ML systems for quality, reliability, latency, cost, and data or model drift; investigate and resolve issues as needed. Contribute to the architecture of scalable services and pipelines that support real-time and batch ML workloads. Create clear technical designs, documentation, tests, and operational runbooks. Share knowledge, contribute to engineering best practices, and help raise the bar for code quality and operational excellence. Participate in an on-call rotation and help triage production issues when on call. Who you are: We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box. You have 3+ years of experience building, deploying, or operating production software, data, or machine learning systems. You have strong programming skills in Python and are comfortable writing production-grade, readable, testable, and maintainable code. You have practical experience with the LLM based agents lifecycle: data and eval-set preparation, prompting and tool schemas, RAG, evaluation, deployment and monitoring. You have experience with LLM application frameworks and libraries, such as LangChain, LangGraph, PyTorch, Pydantic, Pandas, or NumPy, and are comfortable calling LLM APIs (e.g. Gemini, Claude, OpenAI). You understand core machine learning concepts and can make pragmatic trade-offs between model performance, reliability, latency, scalability, and cost. You have experience building APIs, services, pipelines, or distributed systems in a cloud environment. You are familiar with CI/CD, observability, testing, and production support practices. You communicate clearly with both technical and non-technical partners. You have an ownership mindset, enjoy solving ambiguous problems, and work collaboratively across teams. Nice to have: Experience with MLOps tooling, model monitoring, feature stores, workflow orchestration, or experiment tracking. Experience with generative AI in production: multi-provider gateways, semantic search, or structured extraction. Experience with multimodal intelligent document processing workflows. Experience with a major cloud platform, including GCP, AWS, or Azure, and technologies such as Kubernetes and Terraform. Experience with SQL and large-scale analytics (e.g. BigQuery) for quality, cost, and incident investigation. Experience in enterprise software, security, search and retrieval, or content intelligence. Experience mentoring engineers or contributing to technical direction. Methodology Agile management - Scrum Issue tracking tool -Jira Knowledge repository - GitHubEnterprise Code reviews - GitHubEntreprise Version control system - GIT BENEFITS Check out the overview of Life at Box which include general perks and benefits. Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week. Your Recruiter will share more about how we work and company culture during the hiring process. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! EQUAL OPPORTUNITY 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, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. For details on how we protect your information when you apply, please see our Personnel Privacy Notice . For more details on how Box Poland protects your information, please see our Supplemental Personnel and Candidate Privacy Notice . NOTICE OF USE OF AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . #LI-hybrid #LI-OB1

Location: Spain We’re Avomind - and we’re a recruiting firm. What makes us special? We connect high-achieving individuals with hyper-growth firms. I’m sure you don’t see that every day. Our team is diverse and international (we come from all over the world — and we speak 16 languages), with teams in Germany, the UK, the Americas, and Indonesia. Our core vision? To provide our candidates with the top opportunities they deserve — and to provide our clients with quality candidates, every time. Easy. What are we looking for? We’re looking to grow our Talent Acquisition team , and we can’t do it without you. This team is paramount to the success of Avomind, and you’ll be supporting right at the heart of everything we do here - and how our business will be shaped for the future. Are you passionate, committed, and eager to learn about the recruitment process? Wonderful — then we’re good to go. What will you be doing on a daily basis? Actively contribute to both outbound and inbound recruitment strategies, working closely with management to explore new candidate opportunities. Conduct direct outbound sourcing through various channels such as LinkedIn / Xing / GitHub / Google X-Ray, etc. Conduct screening calls with candidates - really getting to know them and assessing their fit for our roles. Manage interview logistics with candidates in tandem with our Project Managers and Client Managers. Advise Project Managers and Client Managers on the candidate landscape and trends, to support a seamless service for our clients. Take ownership of the candidate experience - build your reputation through an excellent candidate experience. Work closely with some of the best in the business - we’re incredibly proud of our team, and we’re excited to have you onboard! Requirements Sounds good, right? We would LOVE to get to know you if: You have a minimum of 2 years of full-cycle recruitment experience within an agency or sales-oriented environment. You have experience working with LinkedIn Recruiter and internal ATS platforms. You thrive in goal-oriented environments and want to achieve the best. You have a growth mindset and are always looking for ways to improve. You are team-oriented and committed. You can work with ever-changing priorities in a very agile environment. You’re fluent in English & German — any other languages would be an advantage. Benefits Career Booster: Coaching & Development Program Weekly Global Trainings Fast-Track Career Progression (70% of our team were promoted in the last 12 months — you will be joining them, too!) Learning from the top. We have flat hierarchies, so you’ll learn from the best that Avomind has to offer. Modern Work: Flexible working hours (we get it — life comes at you thick and fast sometimes, so we’re flexible). Vacations: 20 vacation days + public holidays. Each year with us = +1 holiday day (capped at 30 days). Type of Contract: Freelance Location: 100% remote from Spain, Portugal, Italy, Greece, Montenegro, Poland, or other EMEA country

Location: Portugal We’re Avomind - and we’re a recruiting firm. What makes us special? We connect high-achieving individuals with hyper-growth firms. I’m sure you don’t see that every day. Our team is diverse and international (we come from all over the world — and we speak 16 languages), with teams in Germany, the UK, the Americas, and Indonesia. Our core vision? To provide our candidates with the top opportunities they deserve — and to provide our clients with quality candidates, every time. Easy. What are we looking for? We’re looking to grow our Talent Acquisition team , and we can’t do it without you. This team is paramount to the success of Avomind, and you’ll be supporting right at the heart of everything we do here - and how our business will be shaped for the future. Are you passionate, committed, and eager to learn about the recruitment process? Wonderful — then we’re good to go. What will you be doing on a daily basis? Actively contribute to both outbound and inbound recruitment strategies, working closely with management to explore new candidate opportunities. Conduct direct outbound sourcing through various channels such as LinkedIn / Xing / GitHub / Google X-Ray, etc. Conduct screening calls with candidates - really getting to know them and assessing their fit for our roles. Manage interview logistics with candidates in tandem with our Project Managers and Client Managers. Advise Project Managers and Client Managers on the candidate landscape and trends, to support a seamless service for our clients. Take ownership of the candidate experience - build your reputation through an excellent candidate experience. Work closely with some of the best in the business - we’re incredibly proud of our team, and we’re excited to have you onboard! Requirements Sounds good, right? We would LOVE to get to know you if: You have a minimum of 2 years of full-cycle recruitment experience within an agency or sales-oriented environment. You have experience working with LinkedIn Recruiter and internal ATS platforms. You thrive in goal-oriented environments and want to achieve the best. You have a growth mindset and are always looking for ways to improve. You are team-oriented and committed. You can work with ever-changing priorities in a very agile environment. You’re fluent in English & German — any other languages would be an advantage. Benefits Career Booster: Coaching & Development Program Weekly Global Trainings Fast-Track Career Progression (70% of our team were promoted in the last 12 months — you will be joining them, too!) Learning from the top. We have flat hierarchies, so you’ll learn from the best that Avomind has to offer. Modern Work: Flexible working hours (we get it — life comes at you thick and fast sometimes, so we’re flexible). Vacations: 20 vacation days + public holidays. Each year with us = +1 holiday day (capped at 30 days). Type of Contract: Freelance Location: 100% remote from Spain, Portugal, Italy, Greece, Montenegro, Poland, or other EMEA country

Location: Poland; Romania; Bulgaria; Hungary; Germany; Egypt About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team. Job Summary We are looking for a high-energy, articulate, and driven Appointment Setter to join a fast-growing B2B sales organization. In this role, you will be the first point of contact for prospective clients, acting as a critical bridge between initial interest and closed deals. If you thrive in a high-volume environment and possess the linguistic precision to engage senior stakeholders in both German and English, this is an elite opportunity to accelerate your career in global sales. Key Responsibilities Execute high-volume outbound calling campaigns to identify and qualify B2B leads. Manage a consistent pipeline of prospects, ensuring timely follow-ups and meticulous lead tracking. Navigate complex corporate structures to reach key decision-makers. Articulate the value proposition clearly to overcome objections and generate interest. Schedule qualified discovery calls and meetings for the senior sales team. Maintain accurate records of all interactions within the CRM system. Requirements Native or professional fluency in German (C1/C2 level). Full professional bilingual proficiency in English. Proven experience in B2B appointment setting, telemarketing, or inside sales. Ability to maintain high energy and productivity in a high-volume cold-calling environment. Exceptional communication, active listening, and persuasion skills. Strong organizational skills and the ability to manage a demanding daily workflow. Nice-to-Haves Prior experience using modern CRM tools (e.g., Salesforce, HubSpot). Experience selling professional services or SaaS solutions. A track record of exceeding performance targets and KPIs. Benefits 💰 Competitive base salary 🌎 Fully remote work environment 🚀 Career growth opportunities within a scaling global agency 📈 Long-term stability in a high-demand industry 🤝 Supportive, collaborative team culture

Location: Ukraine; Armenia; Georgia; Jordan; North Macedonia; Poland Company: Crystalia Glass Contract: B2B Format: Remote Market: US Working hours: at least 6 hours of daily overlap with US Eastern time (8:30 AM-5:00 PM ET) Media budget: $200K+/month ($2.4M+ per year) Crystalia Glass is a US manufacturer and installer of premium architectural glass systems for residential and commercial interiors, including glass partitions, sliding glass walls, and steel- and aluminum-framed systems. We are looking for a Marketing Team Lead who will turn the CMO's strategy into execution, lead our distributed marketing team day to day, and own the performance of our paid channels. This is a hands-on leadership role for someone who brings solutions, not questions. WHAT YOU'LL DO • Build quarterly plans, set team priorities, and deliver on agreed targets independently • Lead the marketing team day to day: task allocation, 1:1s, feedback, performance management • Own the performance of Paid Search and Paid Social: optimize campaigns and reallocate budget between channels within agreed limits • Lead AI adoption across the team: design and launch AI workflows for content, creative, lead qualification, and reporting, with measurable impact • Review and approve briefs, creatives, content, and landing pages before launch • Run funnel analytics and weekly reporting (GA4, GTM, HubSpot, dashboards, attribution) • Manage SEO, content, and CRM initiatives through the specialists who own them • Manage agencies and contractors based on outcomes; recommend replacements when needed • Work with Sales leadership as a peer: analyze lost deals, objections, CRM notes, and call recordings, and turn findings into changes in messaging, targeting, and content • Execute partnership and PR programs with architects, interior designers, and trade professionals • Build documented processes, briefs, and quality standards • Act as the CMO's deputy when needed REQUIREMENTS • 3-5+ years in marketing, including 1-2 years of team leadership • Direct experience managing about 4+ marketing specialists or contractors, including hiring, feedback, performance management, and tough personnel decisions • US-market marketing experience: demand generation and brand presence, with accountability for results • Hands-on AI implementation in marketing operations with measurable results • Experience managing paid media budgets and reallocating them between channels • Strong analytics: GA4, Google Tag Manager, HubSpot (pipelines, workflows, lead scoring, attribution reports), Google Ads, Meta Ads Manager, Search Console, Ahrefs or Semrush • Experience with agent and automation platforms (n8n, Make, Zapier AI, HubSpot Breeze, Claude or OpenAI APIs), AI image and video tools, landing page optimization and A/B testing, Figma or Canva for design review, and call recording tools (Gong or similar) • English C1 with strong written English STRONG ADVANTAGES • Premium or luxury market experience; interior design, architecture, high-end residential construction, furniture, or similar • Marketing through architects, designers, contractors, or other specifier channels • Showroom, trade-show, or physical retail marketing • New product launches in an established market • PR and media relations in design, architecture, or lifestyle • Experience with AI agents and prompt engineering WHO THRIVES HERE Analytical and data-driven, with strong ownership and independence. Accountable for outcomes, comfortable in a lean and fast-changing organization, and able to balance brand building with measurable revenue.

Location: Brazil; Poland; Argentina; Colombia Workplace: Remote Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. We are looking for a Forward Deployed Engineer to work directly with clients on high ambiguity GenAI, agentic AI and AI-enabled workflow transformation initiatives. This role is designed for someone who can operate at the intersection of customer discovery, hands-on engineering, solution architecture, early delivery and production adoption. You will work closely with client stakeholders and users to uncover the real operational problem, build thin end-to-end solutions with real systems and data, validate feasibility, shape the delivery path and stay involved through MVP or first production release to assure alignment with expected outcome. ROLE MISSION Your mission is to turn ambiguous customer problems into validated, production-grade AI solutions. You will help Solvd move from “we can build this” to “we have proven this works in the customer’s real operating environment.” You will bridge presales, discovery, prototyping and delivery, while converting field learnings into solution blueprints and service accelerators. YOUR RESPONSIBILITIES - Lead discovery and solution shaping for GenAI / Agentic AI initiatives, working directly with client stakeholders, users and technical teams to understand workflows, systems, data and business constraints. - Drive early-stage opportunities partnering with account executives, product analysts and technology SMEs to prototype, define scope, implementation roadmap and effort estimates. - Translate ambiguous business problems into validated AI solution designs covering model strategy, data access, orchestration, tool use, integration patterns and production constraints. - Build proof-of-concepts fast, prioritizing speed and impact over perfect design, technical spikes to validate architectural assumptions using real or representative systems and data. - Evaluate and select appropriate AI frameworks, platforms and tools, including LLMs, vector databases, orchestration frameworks, cloud AI services and agentic tooling. - Present, defend and explain complex AI, architecture and delivery concepts in simple, practical terms for both business and technical stakeholders. - Stay involved through MVP or first production release to preserve context, support delivery teams and validate that the solution works in the customer’s operating environment. - Define evaluation criteria for AI quality and business impact, including accuracy, groundedness, tool-call correctness, latency, cost, adoption and workflow effectiveness. - Ensure proposed solutions adhere to security, compliance, Responsible AI, observability and production-readiness principles. - Convert field learnings into reusable Solvd assets, including solution blueprints, evaluation frameworks and service accelerators. OUR REQUIREMENTS - A seasoned hands-on technical leader who has evolved from full-stack or server-side software engineering into the GenAI and agentic AI domain. - Experienced in designing, prototyping and integrating systems that combine LLMs, agentic frameworks, enterprise data and business workflows. - Proficient at combining established engineering patterns with emerging AI capabilities to deliver reliable, production-ready solutions. - Skilled in guiding teams and clients through ambiguity - able to prototype rapidly, validate assumptions and converge toward delivery-ready designs. - Comfortable engaging with executives, product teams, operational users and engineers alike, translating complex AI concepts into clear, actionable solution narratives. - Pragmatic, curious, collaborative and obsessed with customer problem — equally focused on technical soundness, business value, user adoption and delivery readiness. - 8+ years of experience in IT, including strong experience in software design and engineering. - 2+ years of hands-on experience architecting or building GenAI or agentic AI systems using modern LLM ecosystems, such as OpenAI, Anthropic, Gemini, Azure AI or AWS Bedrock. - Experience supporting presales solutioning, discovery, prototyping or early delivery for AI engagements. - Strong understanding of LLM orchestration, retrieval-augmented generation, vector databases, prompt engineering and tool-calling patterns. - Understanding of cost modeling for AI workloads, including token usage, inference scaling and hosting models. - Proficiency with at least one major cloud platform, such as AWS, Azure or GCP, and its AI/ML service offerings. - Demonstrated experience leading technical discussions with both engineering and non-technical stakeholders in presales, discovery or early delivery phases. - Strong command of software engineering fundamentals, API design, integration patterns and production-readiness practices. - Knowledge of modern software delivery practices, including CI/CD, containerization, observability and DevSecOps. - Excellent communication, presentation and documentation skills, with the ability to articulate complex solutions clearly and persuasively. OPTIONAL - Prior experience as a Forward Deployed Engineer, Field Engineer, staff engineer, solution architect or technical product lead. - Prior experience with traditional AI/ML systems, including model training, MLOps, data pipelines or feature stores. - Familiarity with frameworks for agentic or multi-component AI pipelines. - Exposure to Responsible AI, data privacy and governance frameworks. - Hands-on experience with Databricks or Snowflake. - Experience creating reusable solution blueprints, evaluation frameworks or technical accelerators. - Industry-recognized cloud and AI certifications from Anthropic, AWS, Azure or Google. When you join Solvd, you'll… - Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. - Be part of a global team with equal opportunities for collaboration across continents and cultures. - Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. Ready to make an impact? If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together. Solvd is an equal opportunity employer.

Location: Nicosia, Cyprus; Warsaw, Poland; Braga, Portugal Workplace: remote Our client is an iGaming Advertising Agency specializing in performance-driven user acquisition for operators worldwide. The company delivers high-quality traffic through its global affiliate network and proprietary in-house traffic sources, working with leading brands across multiple markets. Recognized by industry awards and certifications, the agency is known for its reliability, transparency, and strong market presence. We are currently looking for a Middle-Senior Affiliate Manager to attract new affiliates, develop relationships with existing partners, and maximize the performance of ongoing campaigns. 📋 Key responsibilities and your contribution: Attracting new partners and maintaining relationships with existing ones; Developing proposals for partners to improve the effectiveness of collaboration; Negotiating and concluding agreements with partners; Analyzing and optimizing current campaigns, improving key performance indicators (KPIs); Daily traffic monitoring, reporting, and monitoring of target achievement; Coordinating with internal departments to support successful campaigns; Participating in industry events and conferences to develop the partner network. 📚 Your qualifications: 2+ years of experience in Affiliate Management within the iGaming industry. Proven experience working with affiliates across different traffic sources (SEO, PPC, Paid Social, ASO, In-app, Email, Push, Native, etc.). Strong understanding of affiliate business models, including CPA, RevShare, Hybrid, CPL, Flat Fee, and other commercial agreements. Experience analyzing affiliate performance using tracking platforms and analytics tools. Strong negotiation, communication, and relationship-building skills. Analytical mindset with a data-driven approach to decision-making. Experience in product companies or affiliate programs within iGaming will be a strong advantage. Hands-on experience working with Tier-1 markets is required. An established personal network of partners will be considered a strong advantage. English level — B2+ 📍Your location: EU countries Benefits: ⭐ Time Off & Recovery: 20 working days of fully paid annual leave, fully paid sick leave, and public holidays off according to company policy. ⭐ Health & Wellness: A flexible Benefits cafeteria that allows you to choose the perks that fit you best, with options including medical support, regular check-ups, mental health services, or gym access. ⭐ Education & Development: Internal and external training, industry events, language courses, and professional service subscriptions. ⭐ Workspace & Tech: All necessary corporate equipment provided, the flexibility to work fully remotely, and premium digital tools to enhance performance (e.g., AI tools, ChatGPT Plus). ⭐ Work Environment & Perks: Holiday bonuses, gifts for special occasions, paid business trips, and team events.

Location: Warsaw, Poland Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. About this role: At Sensor Tower, we process tens of terabytes of data to power insights used by thousands of customers. We’re looking for curious, motivated engineers who want to grow their skills while helping us build fast, reliable systems that make data easy to access and understand. You’ll work closely with experienced engineers, contribute to meaningful features from day one, and learn how large-scale systems are designed, built, and optimized in production. If you enjoy learning, solving problems, and shipping real software that users rely on, we would love to meet you. Our Engineering Culture We believe that "Simplicity is a prerequisite for reliability." We are looking for engineers who align with our core values: - Simplicity: We avoid over-engineering. We prefer the tools we already have and the most straightforward solutions over "shiny new toys." - Quality: We write code that is a pleasure to read because we know code is written once but read many times. We don't cut corners, and we polish to a high level before shipping. - Extreme Ownership: We don't just do the minimum. We expect you to understand the "why" behind your work and own the ultimate goal of fixing problems at their root cause, avoiding temporary band-aids. - Prioritization: We focus relentlessly on what is important, not just what is urgent. What you’ll do: - Improving and building new features for an app market intelligence SaaS platform focused on the SMBs (AppMagic by Sensor Tower). - Participate in the full development life cycle, including design, implementation, quality polish, and release. - Work on a variety of tasks, such as parsing, data aggregation, API design, refactoring, and performance optimization. - Create and optimize complex database queries for data analysis and modification. - Perform code reviews, and suggest improvements to tools and processes. Backend stack: Golang, PostgreSQL, ClickHouse, MongoDB, Elasticsearch, RabbitMQ, GitLab, Docker, Kubernetes. What we are looking for: - +3 years of experience with Go (if you have lesser years of experience but have meaningful github contributions and other coding samples, this will be taken into consideration). - Strong SQL skills (Postgres/ClickHouse). You know when to rely on an ORM and when to write raw SQL, and you're comfortable writing and debugging complex queries. - Focusing on quality by writing testable code that simplifies debugging and ensures long-term reliability. - Ability to see the product through the user’s eyes and a passion for product excellence. - Curiosity & drive: a proactive approach to digging into sources yourself rather than relying on second-hand information, and an eagerness to understand why a project is valuable before you start coding. - Experience with CI/CD, docker, k8s as a plus. - Ability to pass technical interview both in Russian & English. - Hands-on, thoughtful use of AI tools in development. Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Athens Workplace: OnSite ROLE HIGHLIGHTS - Title: Planner Satellite Manufacturing - MAITE - Location: Athens, Greece - Department: Global Manufacturing Organisation - Reports to: Director of MAITE - Employment type: Permanent - Workplace model: Office - Employment is subject to applicable security screening (incl. SUPO, where required) - Please note we can only accept applications in English WHY THIS ROLE MATTERS: The mission of this role is to be the single planning point for the whole MAITE (Manufacturing, Assembly, Integration, Test and Execution) organisation in Greece: AIT Engineering, Production, Stock & Logistics, Procurement, Quality, and the Cleanroom & Lab. You will build and own one integrated schedule, from the master schedule down to daily work orders, that turns satellite demand into executable work across all of them. You will work with the global planning team, which sets the master plan and component MRP, and turn it into a detailed, executable plan for the site. Unlike traditional satellite builds, LEO constellations demand industrial-scale throughput, modular design adaptability, and tight integration between production, engineering and supply chain. Much of the value sits in the interfaces: sequencing a calibration campaign or a cleanroom intervention so it does not stop a build, holding a slot for a quality inspection, or flagging a long-lead component early enough for procurement to act. The ideal candidate thrives in ambiguity, works comfortably across departments, and improves the planning tools and workflows they inherit where off-the-shelf solutions fall short. You are the reliable source of truth for the site plan: when the plan and the floor disagree, you know first and say so. WHO WE ARE ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE's world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world's largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy, day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits. As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE's near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring (including oil-spill detection), and finance, contributing to global security and community resilience. ICEYE operates internationally with offices in Finland, Poland, Spain, Japan, the UAE, Greece, and the US. The company has more than 1000 employees, inspired by the shared vision of improving life on Earth by becoming the global source of truth in Earth Observation. YOUR DAY-TO-DAY RESPONSIBILITIES - Build, maintain and optimise a single integrated schedule covering AIT Engineering, Production, Stock & Logistics, Procurement, Quality and the Cleanroom & Lab, from the master schedule down to daily work orders, against technical constraints, material availability, labour and facility capacity. - Translate the master plan and component MRP from the global planning team into a sequenced plan for each department, agreeing dates and capacity with the department owners rather than directing their work. Hold slots for cleanroom interventions, calibration campaigns, quality inspections and rework loops so that planned work lands where it costs least, and keep those slots when priorities move. - Run the daily and weekly planning cadence. Coordinate daily schedules with the site team leads, report actual people availability into the capacity plan, publish status, and raise deviations early and factually rather than sitting on them, then drive them to a decision. - Feed the planning cycle. Keep plan versus actuals, milestone status and people availability current and flowing to the global planning team on cadence, so the plan above the site reflects floor reality. - Produce and maintain the artefacts the organisation runs on: master schedule, critical path analysis, capacity plans, sprints and the visual management boards used in daily meetings. - Integrate new product introduction and engineering changes into the plan, including prototype and qualification builds, without disrupting series production. Keep the plan and work order BOMs aligned with the current approved configuration, coordinating with Configuration Management, who own the governed baseline. - Schedule planned downtime deliberately, including preventive maintenance, instrument calibration campaigns and cleanroom interventions, so that they land where they cost least. - Embed quality hold points, inspection windows and rework loops into the schedule rather than absorbing them as overruns, and flag long-lead and shortage risk to Procurement early enough to act. - Keep planning data in NetSuite, Manufacturo (MES), Jira and Smartsheet in sync with the floor: work orders released and closed on time, no phantom work in progress, no conflicting references, and material, WIP and stock status accurate enough to plan from. - Publish and track the organisation-level planning indicators: on-time delivery, schedule adherence and cycle time. Consolidate and report the department-level measures that explain them, including material availability at kit release, inspection turnaround, equipment availability and calibration compliance. These measures remain owned by the department that produces them. Where one moves against the plan, raise it in the planning cadence with its owner and drive it to a decision. WHAT WE’RE LOOKING FOR MUST HAVES: - 5+ years of experience in production, industrial or operations planning in a technological environment (aerospace, defense, maritime, automotive, semiconductor, medical devices, etc.). - Proven scheduling capability across multiple departments or product lines, building and owning a master schedule fully. - Capacity planning across labour, equipment and facilities, with the judgement to state clearly what cannot be done as well as what can. - Deep understanding of manufacturing processes, supply chain logistics and systems engineering, sufficient to challenge a lead time or a routing. - Comfortable reading technical documentation: bills of materials, routings, work instructions and engineering change notices. - Inventory management experience: tracking materials, work in progress and stock accuracy against plan. - Ability to hold competing departmental priorities in balance and reach a decision without formal authority over the teams involved: influence and reliability over authority, and the instinct to raise a problem early rather than sit on it. - Analytical thinking with a data-driven approach to forecasting, problem-solving and decision-making, using Excel, Power BI or similar. - Adaptability to respond quickly to production changes, delays, or evolving technical requirements. - Hands-on experience with ERP/MRP/MES systems and scheduling tools, including responsibility for planning master data accuracy. We use NetSuite, Manufacturo (MES), Jira and Smartsheet, which are being implemented while in use; experience with equivalent systems is fine. - Experience producing visual management for daily operational meetings, and with project tooling such as Jira, Smartsheet or MS Project. - Strong communication skills in English (written & spoken). NICE TO HAVES: - A satellite, aerospace, or another regulated, low-volume / high-complexity manufacturing setting. - Foundational software development skills, such as Python or scripting, useful for automating planning tasks, integrating data sources, or building internal planning tools. - Exposure to Lean or continuous improvement, S&OP cycles, or APICS/ASCM certification. APPLICATION PROCESS - Talent Acquisition Interview - Hiring Manager General Interview - Technical Interview (onsite or virtual), including a Technical Challenge - Leadership & Hiring Team Interview WORKING AT ICEYE At ICEYE, you'll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) - Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the "why" behind decisions. - See the big picture: Stay close to what's happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters, and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) - Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. - A job that matters in a dynamic Earth Observation environment with a scale-up approach - An independent role with a supportive and diverse work environment - Phone subscription with iPhone of choice - Relocation support (flight tickets, accommodation, relocation agency support) - Time for self-development, research, training, conferences, or certification schemes - Inspiring and collaborative offices and silent workspaces that enable you to focus - A wide variety of the best coffee, tea, snacks, and sweets to accompany your daily space mission - Competitive salary contingent on your experience level, negotiated individually OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. 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: Ukraine; Poland; Spain; Portugal; Germany; Romania At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed. And now we are looking for a Engineering Manager, Applied AI & Machine Learning Engineering to join us as part of our team. About Role PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. As an Engineering Manager, AI/ML, you will support a cross-functional team of MLE and MLOps engineers working across several AI/ML initiatives. Your primary focus will be resource planning, execution, and people management. You will work closely with project leads, technical leads, functional managers, and product partners to ensure projects are appropriately staffed, plans are realistic, risks are visible, and teams can deliver effectively. You will manage capacity and resource allocation across multiple projects, help coordinate dependencies and priorities, and provide stakeholders with a clear view of delivery progress. Project and technical leads will continue to own product direction and technical decisions. You will also support the career growth and performance of team members. This includes gathering feedback, coaching employees, creating development plans, and contributing to performance, promotion, and compensation reviews. You should have enough AI/ML experience to understand the work, communicate effectively with engineers, and identify technical delivery risks. However, this is not expected to be a hands-on engineering or architecture role. Our Tech Stack & Focus Areas Generative AI & LLMs: Develop and maintain LLM-based solutions for generative features. Classic ML Models: Develop and maintain predictive and classification models for financial data Vector Databases: Implementing efficient storage and retrieval systems for high-dimensional data embeddings. Embeddings: Developing hybrid models to extract insights from diverse data sources. High-Volume Data Management: Engineering systems capable of handling massive, real-time data streams. Work Environment Flexible schedule with participation in team ceremonies and cross-functional collaboration. Time zone: Europe/Kyiv. As a qualified expert, You will: Manage resource allocation and capacity planning across multiple AI/ML projects and operational commitments Partner with project and technical leads to create realistic delivery plans, milestones, and staffing models Maintain a clear view of project progress, dependencies, risks, and resource constraints Help resolve delivery blockers, priority conflicts, and cross-team dependencies Facilitate quarterly and ongoing planning across MLEs and MLOps teams Provide clear delivery and staffing updates to functional managers and other stakeholders Manage and coach engineers through regular one-to-one meetings and career discussions Gather and synthesize feedback from project leads, technical leads, and cross-functional partners Create development plans and support performance, promotion, and compensation review processes Identify team capability gaps and contribute to hiring, onboarding, retention, and workforce planning Foster an inclusive, collaborative, and high-performing team environment Apply Agile, Lean, and Fast-Flow practices to improve team effectiveness and delivery predictability We’re looking for you if you have At least three years of experience in software engineering, AI/ML, or a related field At least three years of experience in people management, engineering management, or technical program leadership Working knowledge of AI/ML modeling, systems and the development lifecycle Experience managing multiple technical projects with shared resources and cross-team dependencies Strong skills in capacity planning, resource allocation, project execution, risk management, and stakeholder communication Experience supporting the performance and career development of technical employees Ability to understand technical discussions and work effectively with MLE and MLOps teams Experience working with distributed or geographically dispersed teams English — Upper Intermediate or higher; Ukrainian — fluent Bonus points Experience managing or supporting MLE and MLOps teams Experience working in a matrix organization with separate people, project, product, and technical leadership roles Experience with planning or allocating engineers across multiple projects Familiarity with production ML, generative AI, semantic search, summarization, prediction, or similar capabilities Familiarity with technologies such as Kubernetes, Docker, Kafka, Airflow, Snowflake, and cloud platforms Experience conducting performance reviews and building employee development plans Experience working with staffing partners, contractors, or blended internal and external teams Experience in fintech, SaaS, market data, or another data-intensive industry What’s in it for You Reveal great tech solutions Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling clients growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients. Experience an agile and flexible working environment Work fully remote around the globe, or in a hybrid work model from our office hubs which are equipped with everything needed for comfortable work. Enjoy a flexible working schedule and create work and rest balance for yourself. Empower yourself with a stable workload and a stable income, focusing on lasting cooperation and high-performance culture. Embrace the opportunity for personal and professional growth Take advantage of performance review and career path. Elevate your skills with mentorship program, personal development plan, and individual learnings through the corporate library, public speaking support, and more. Feel cared about Be among like-minded people and feel supported with collaboration, open communication and mutual respect. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Interview Steps: Interview with the recruiter Codebase review Interview System design Interview Cross-functional execution case Interview Final сlient Interview

Location: Warsaw, Poland; Kraków, Poland We are seeking a Build and Release Engineer to help improve the build and deployment pipeline for our games and tools. In this role, you will be working closely with Engineering and QA teams to advance and optimize the build pipelines and improve redundancy of our build services. Responsibilities Support and improve development pipelines that the core team relies upon for day-to-day game development (Continuous Integration, build verification and deployment, performance, stability, etc.); Analyze build system’s performance, troubleshoot and resolve build and deployment issues, work with engineering teams to prevent future issues; Keep the build tools up to date, coordinating the updates with other teams; Review proposed solutions and code written by peers; Update pipeline documentation and configuration guides; Take responsibility for efficiency and maintainability of the build system; Maintain and extend platform tools; Hands-on contribution to the game development as a secondary role. [PL] Poszukujemy Inżyniera ds. Budowy i Wydawania Oprogramowania, który pomoże usprawnić nasz proces budowania i wdrażania gier oraz narzędzi. Na tym stanowisku będziesz ściśle współpracować z zespołami programistycznymi oraz zapewnienia jakości w celu rozwoju i optymalizacji procesów tworzenia oprogramowania, a także zwiększenia niezawodności naszych usług budowania. Zakres obowiązków Wsparcie i rozwój procesów programistycznych, na których kluczowy zespół polega w codziennej pracy nad grami (Ciągła Integracja / CI, weryfikacja i wdrażanie kompilacji, wydajność, stabilność itp.); Analiza wydajności systemu budowania, diagnozowanie i rozwiązywanie problemów związanych z kompilacją oraz wdrażaniem oprogramowania, a także współpraca z zespołami inżynierskimi w celu zapobiegania ich występowaniu w przyszłości; Utrzymywanie narzędzi do kompilacji w aktualnych wersjach przy jednoczesnej koordynacji aktualizacji z innymi zespołami; Recenzowanie proponowanych rozwiązań oraz kodu pisanego przez innych członków zespołu; Aktualizowanie dokumentacji procesów oraz instrukcji konfiguracji; Dbanie o wydajność i łatwość utrzymania systemu budowania oprogramowania; Utrzymanie i rozwój narzędzi platformowych; Aktywny, bezpośredni udział w procesie tworzenia gier w ramach dodatkowej roli. Requirements Development and debugging experience in C++; Good grasp on Computer Science fundamentals (algorithms, data structures, operating systems); Familiarity with version control systems (Perforce, Git, SVN); Familiarity with Gradle or XCode; Good analytical & troubleshooting skills; Strong communication skills; Good written English skills; Self-driven and a team player with a solid work ethic; Inspired to make everyone's job easier by improving team efficiency and reducing technical barriers. Would be a plus Development experience in the following languages: Python, C#, TypeScript; Experience with build automation and CI/CD tools (e.g. TeamCity, Jenkins); Experience with configuration management and infrastructure as code tools (e.g. Terraform, Ansible, Puppet, etc.); Experience with Windows administration and PowerShell; Experience with OSX and Linux environments; Experience with cloud technologies, specifically AWS; Experience with branching and merging; Experience with mobile development and publishing; Experience working across internal and remote engineering teams using agile methodologies. [PL] Wymagania Doświadczenie w programowaniu i debugowaniu w języku C++; Dobra znajomość podstaw informatyki (algorytmy, struktury danych, systemy operacyjne); Znajomość systemów kontroli wersji (Perforce, Git, SVN); Znajomość narzędzi Gradle lub Xcode; Bardzo dobre zdolności analityczne oraz umiejętność rozwiązywania problemów; Silne umiejętności komunikacyjne; Dobra znajomość języka angielskiego w pismie; Samodzielność, umiejętność pracy w zespole oraz wysoka etyka zawodowa; Motywacja do ułatwiania pracy innym poprzez zwiększanie efektywności zespołu i usuwanie barier technicznych. Mile widziane Doświadczenie w programowaniu w językach: Python, C#, TypeScript; Doświadczenie z narzędziami do automatyzacji budowania oprogramowania oraz CI/CD (np. TeamCity, Jenkins); Doświadczenie z narzędziami do zarządzania konfiguracją oraz Infrastructure as Code (np. Terraform, Ansible, Puppet itp.); Doświadczenie w administracji systemem Windows oraz znajomość PowerShell; Doświadczenie w pracy w środowiskach macOS i Linux; Doświadczenie z technologiami chmurowymi, w szczególności AWS; Doświadczenie w zarządzaniu gałęziami kodu i ich scalaniu; Doświadczenie w tworzeniu i wydawaniu aplikacji mobilnych; Doświadczenie w współpracy z wewnętrznymi oraz rozproszonymi zespołami inżynierskimi w oparciu o metodyki zwinne (Agile). Benefits [EN] Medical Care package MyCafeteria system - including Multisport card and more Employee Assistance Program (EAP), offering confidential legal, financial, and personal counseling English or Polish language classes Sensibly flexible working hours Additional benefits: Care Bonus to cover health, educational and safety needs, corporate parties and team buildings [PL] Pakiet opieki medycznej System MyCafeteria – w tym karta MultiSport i wiele więcej Program Wsparcia Pracowników (EAP) – oferujący poufne porady prawne, finansowe oraz psychologiczne/osobiste Lekcje języka angielskiego lub polskiego Elastyczne godziny pracy (w ramach potrzeb projektu) Benefity dodatkowe: Care Bonus (pokrywający wydatki związane ze zdrowiem, edukacją i bezpieczeństwem), imprezy firmowe oraz wyjazdy integracyjne

Location: United Kingdom; Ireland; Poland Workplace: Remote As a Staff Software Engineer on Coder’s Agentic Engineering team, you’ll shape the systems behind our agentic development experience. You’ll work across the agent harness, integrations, and workflows that connect agents with real development environments. You’ll stay hands-on while setting the team's technical direction. You’ll lead complex work, make sound architectural decisions, and help other engineers do their best work. WHAT YOU’LL DO HERE - Set technical direction across Coder’s agent harness, integrations, and workflows. - Design and build production systems in Go, with work across React and TypeScript where needed. - Evolve agent execution, tool use, context management, streaming, and long-running workflows. - Extend our provider-agnostic architecture as models and capabilities change. - Lead complex projects from early ambiguity through production. - Raise the engineering bar through design reviews, code reviews, and technical mentorship. - Partner with Product and Design on clear, useful agent experiences. - Improve the reliability, performance, and operability of agentic systems. WHAT WE’RE LOOKING FOR - Deep experience building and operating production software systems. - Strong hands-on experience with Go. - Experience with React and TypeScript. - Hands-on experience building systems around LLMs and agentic workflows. - Experience with model APIs, tool calling, context management, or agent loops. - Strong distributed systems knowledge. - Working knowledge of AWS. - A track record of setting technical direction without formal authority. - Strong architectural judgment and comfort working through ambiguity. - Someone who makes the engineers around them better. OUR TECH STACK - Backend: Go, Postgres - Frontend: TypeScript, React - Infrastructure: AWS, Kubernetes - Observability: Prometheus, Grafana - CI/CD: GitHub Actions BONUS TACOS IF YOU HAVE - (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!) - Experience building coding agents, developer tools, or cloud development environments. - Experience with agent tools, or multi-agent systems. - Experience building abstractions across multiple model providers. - Deep experience with AWS, Kubernetes, Docker and Linux. - Open-source contributions or experience working directly with customers. Coder’s agentic architecture is provider-agnostic. The foundation is already built; this role helps decide how it evolves, where we invest, and how we keep it reliable as the space moves quickly. ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

Location: Remote, Canada; Remote, Poland; Remote, United Kingdom 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 Intermediate Backend Engineer (Python) in GitLab's Agent Foundations stage, you'll go beyond using AI tools. You'll help build the foundations for GitLab's agentic AI experiences: the platform that lets AI agents work across the whole software delivery lifecycle, not just write code. That covers the reusable building blocks agents and flows are made from as well as our core harness, Duo Developer. Most of your work will be backend engineering in Python, using libraries such as LangGraph to build secure, reliable and scalable features in our AI Gateway. You'll also work across the stack where needed. You'll work closely with engineers across the stage and other AI Engineering teams. This is a high-visibility area where GitLab's core platform meets its AI strategy. What you'll do Develop, ship and maintain features for the Duo Agent Platform in the Duo Workflow Service, the AI Gateway and, where needed, the GitLab monolith. Keep them secure, well-tested and performant. Build and improve agentic flows and their reusable parts with LangChain and LangGraph, including the Flow Registry. Work with Product Management, UX, frontend, backend and AI specialists to refine requirements and ship improvements in small iterations. Design, implement and review APIs (including GraphQL and REST) and the backend logic behind them, with reliable, scalable and clear contracts for clients such as the GitLab monolith, IDE extensions and Duo CLI. Improve and extend automated testing (pytest and other frameworks), including evaluations of agent and flow behavior, to strengthen quality and give developers faster feedback. Share standards, patterns and learnings with other engineers to raise the bar for responsible AI integration and evidence-driven engineering. Join Tier 2 on-call rotations to troubleshoot production issues, contribute to root cause analysis, and improve observability and resiliency. Keep an eye on the competitive landscape to help keep GitLab's agent platform best-in-class as more work becomes agentic. Take part in on-call or operational support where your team’s ownership model requires it. What you'll bring Experience building and maintaining production Python backend applications, including APIs, asynchronous or background processing, and data models. Experience with LLM application frameworks such as LangGraph, or designing and shipping AI-powered backend features or harnesses. Skill in designing or extending APIs (REST, GraphQL or gRPC) with attention to scalability, maintainability and backward compatibility. Comfort working across the stack in a mature codebase. Familiarity with Ruby on Rails and/or JavaScript and Vue is a plus. Experience finding and fixing performance bottlenecks in applications. Clear written and verbal communication, including technical proposals and documentation, in a remote, async, cross-functional team. Openness to learning and to applying skills from related technologies or fields. About the team The Agent Foundations stage builds the foundations for GitLab's agentic AI experiences. We provide the platform, catalog and execution features that help teams deliver resilient agents and flows to customers. The stage has three groups: Agent Developer, AI Catalog and Agent Execution. Between them, they own the GitLab Duo Developer foundational flow and the Flow Registry; the AI Catalog, including custom agents, custom flows and external agent integrations; and agent execution, agent tools and agent observability. Our engineers work async-first across EMEA, AMER, and India timezones. We work with teams across AI engineering and the rest of GitLab so the Duo Agent Platform can power many of GitLab's AI features. 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: Batumi, Georgia; Tbilisi, Georgia; Antalya, Türkiye; Cluj-Napoca, Romania; Bromolla, Sweden; Bucuresti, Romania; Rome, Italy; Berat, Albania; Dubai, United Arab Emirates; istanbul, Türkiye; Istambul, Türkiye; Ankara, Türkiye; Istanbul, Türkiye; Sofia, Bulgaria; Krakow, Poland; Krosno, Poland; Lublin, Poland; Poland; Poznan, Poland; Warsaw, Poland; Porto, Portugal; Port Vila, Vanuatu; Podgorica, Montenegro; Pilsen, Czechia; Lisbon, Portugal; Riga, Latvia; Barcelona, Spain; Madrid, Spain; Tenerife, Spain; Tiraspol, Moldova, Republic of; Nicosia, Cyprus; Almaty, Kazakhstan; Astana, Kazakhstan; Athens, Greece; Baku, Azerbaijan; Belgrade, Serbia; Bratislava, Slovakia; Bucharest, Romania; Budapest, Hungary; Dnipro, Ukraine; Erevan, Armenia; Kharkiv, Ukraine; Ljubljana, Slovenia; Sarajevo, Bosnia and Herzegovina; Skopje, North Macedonia; Banská Bystrica, Slovakia; Toshkent, Uzbekistan Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently looking for a dedicated Technical Support Engineer / Linux Systems Administrator to join one of our clients' teams . If you're looking for an exciting opportunity to grow in an innovative environment, this could be the perfect fit for you. Key Responsibilities Infrastructure Collaboration: Work within the technical team to administer and maintain GNU/Linux operating systems and virtualized/containerized environments (OpenVZ, KVM, Docker, etc). Web Hosting Operations: Participate in the deployment, management, and troubleshooting of industry-standard control panels (like cPanel/WHM, Plesk) within shared hosting environments. Application & Web Stack Support: Troubleshoot and optimize web applications built on common web technologies, frameworks and CMS platforms (WordPress, Laravel, etc.). Assist clients and resolve complex issues related to PHP, with knowledge of Node.js and Python stacks considered a strong plus. Network & Security Operations: Help configure and maintain network protocols, firewalls, and WAFs (ModSecurity, Imunify360). Work with the team to identify, respond to, and mitigate security incidents (malware, phishing, DoS, etc.). Mail Server Administration: Troubleshoot mail flow and deliverability issues, you are already familiar with Exim, Dovecot, SPF, DKIM, DMARC, and the use of external mail relays. Performance & DevOps: Contribute to routine service monitoring and execute performance tuning across Apache, Nginx, LiteSpeed, and database engines (mainly MySQL/MariaDB, and rarely PostgreSQL and Redis). Reliability & Migrations: Support infrastructure projects, including migration of hosting accounts, VMs, and mail systems. Assist in testing and implementing disaster recovery, backups, failovers, and caching/CDN strategies. Required Qualifications Experience: Several years of hands-on experience in the web hosting industry in both technical support and system administration. OS Mastery: Advanced proficiency in Linux system administration and troubleshooting. Familiarity with Windows Server environments (including IIS, MSSQL) for cross-platform support cases. Hosting Stacks: Deep understanding of the cPanel/WHM ecosystem, CloudLinux (LVE, CageFS, Selectors), PHP configuration, and typical shared hosting constraints and workarounds. In addition to proven expertise configuring, managing, and troubleshooting HTTP web servers (Apache, Nginx, LiteSpeed, etc.). Web Technologies: Strong grasp of web server mechanics, relational/NoSQL databases, and the ability to debug complex web apps at the server level. Networking Fundamentals: Solid understanding of TCP/IP, DNS, and network protocols. Communication: Strong ability to manage escalated support tickets and collaborate with peers to provide custom technical solutions for clients. Nice-to-Have Automation & Scripting: Proficiency in writing Bash scripts, Python utilities, and utilizing Ansible playbooks to help the team automate routine deployments and maintenance tasks. Billing & Integration: Experience with WHMCS backend architecture and custom module integrations. Hardware & Architecture: Familiarity with high-density enterprise server architectures and large-scale account consolidation workflows. Multilingual Support: Professional fluency in English is highly advantageous for internal documentation and diverse client communication.