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Location: San Francisco, CA; US - Remote; New York, NY; Atlanta, GA; Washington, D.C. Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. ABOUT THE PUBLIC SECTOR TEAM - Sierra recently received FedRAMP High https://sierra.ai/blog/certified-fedramp-high certification, enabling us to bring our industry-leading technology to partners in the US public sector. We’re now building our founding public sector team to redefine the relationship between the government and its citizenry. - Today, our agents already enable citizens to access social services, report fraud, and understand complex government systems. Simultaneously, they empower government officials to better hear the concerns and inquiries of their constituencies. - We are explicitly nonpartisan and committed to empowering public servants to leverage AI to advance their important missions. - In our journey, we are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do. WHAT YOU'LL DO - Be the primary partner to your Sales counterparts helping to win deals and grow customers - Go from first discovery to a tailored, working agent in days, not weeks, across prospects and existing customers - Work with every team involved in the decision: CX, IT, security, procurement, and executive sponsors - Own the end-to-end technical pre-sales process by scoping customer use cases, articulating business value, designing and demoing Sierra’s incredible platform, leading technical and architecture reviews, and serving as the trusted technical expert throughout the sales cycle - Mentor newer SEs and contribute reusable assets for your industry or team - Stay with the account after the sale, through the Agent Development handoff, launch, and expansion to new use cases - Go deep on your industry, the patterns, and winning motions to scale your work WHAT YOU'LL BRING - 4-6+ years experience in Sales Engineering, Solutions Engineering or customer-facing technical sales - Experience in leading the sales process with large Enterprise customers with deal sizes ranging $500-$1M - Past experience in demo building, and presenting, and working with customers or clients in the GTM function - Experience in relationship-building with prospects, including executives and technical leaders - Ability to connect a prospect’s specific business problems and Sierra’s solutions and explain them to both a technical and non-technical audience - Ability to leverage AI tools efficiently as a regular part of your technical sales motion — discovery prep, solution design, demo and prototype building, technical proposals. Importantly, you own the accuracy of anything you put in front of a customer, whether or not AI helped you build it - Experience growing accounts past initial sale - Bachelor's Degree or above; bonus if in Computer Science or related field, or equivalent professional experience EVEN BETTER... - Experience translating code, technical logic and user requirements to product and engineering requirements - Selling a technical AI product OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: Istanbul, Turkey P.I. Works is the first company in the world to automate the management of a commercial 5G network. Our automated network management products and services empower Mobile Operators to accelerate network transformation and to drive network quality and efficiency on the path to 5G. These solutions have been deployed across 91 mobile network operators in 64 countries around the world. Come and join us to work with the leading telecom operators around the world and redefine the mobile experience worldwide by contributing to our research and development efforts. What you will have An opportunity to work with some of the brightest minds in the Software & Telecom industry. Hands-on opportunities to learn from the best and put your knowledge and skills to work A mentor to help you build and develop your potential A friendly, open, and collaborative environment that thrives on learning and practicing Paid internship opportunity Key Responsibilities Collaborate with the product team to design and develop prototypes of innovative telecommunication solutions and next-generation features. Conduct in-depth data analysis and perform validation of algorithms and models to support Product Owners in making informed decisions. Handle data ingestion, movement, transformation, and ETL processes to enable effective product design and feature prioritization. Create compelling data visualizations using the most appropriate tools; interpret and clearly communicate the statistical insights and underlying stories to stakeholders. Required Qualifications & Skills Currently pursuing a Bachelor’s  degree in one of the following fields: Telecommunications Engineering, Computer/ Software Engineering, Artificial Intelligence Engineering, Control & Automation Engineering Practical experience in programming and scripting (Python and/or C# preferred) Hands-on experience with data collection, data processing / cleaning, and data visualization Strong proficiency in SQL (writing queries, data extraction, and analysis) Fluent in English, both written and spoken, with the ability to actively participate in technical discussions and meetings Strongly Valued (Advantages / Nice-to-have) Practical knowledge or project experience in machine learning / AI model development Familiarity with Large Language Models (LLMs) and Intelligent Agents Solid understanding of statistics and strong data visualization skills Previous exposure to or working experience in the telecommunications domain Apply today and unlock your potential!

Location: Istanbul, Turkey P.I. Works is the first company in the world to automate the management of a commercial 5G network. Our automated network management products and services empower Mobile Operators to accelerate network transformation and to drive network quality and efficiency on the path to 5G. These solutions have been deployed across 91 mobile network operators in 64 countries. Come and join us to work with the leading telecom operators around the world and redefine the mobile experience worldwide by contributing to our research and development efforts As part of the role definition, you will: - Provide exceptional service to our customers worldwide - Actively communicate with customers on questions/issues related to our products and solutions - Go above and beyond our service level agreements to pro-actively diagnose and resolve issues - Collaborate with customers on deployment and provide support for upgrades, new features and fixes - Collaborate with team members, share knowledge, lessons learned, document best practices through active participation in team meetings and trainings - Collaborate with project teams on installation, configuration, testing and integration of our solutions. Required Experience and Skills: - Basic to intermediate knowledge of database architecture and good command on SQL - Good understanding of programming in C++/C#/Java and .NET framework is an asset - Good understanding of one or more OSS products is an asset - Technical understanding of 2G/3G/4G/5G mobile technologies, including RAN standards, architectures, protocols, and services is an asset. - Passionate and self-motivated individual capable of troubleshooting and solving complex customer issues in a fast-paced, dynamic environment. - Excellent communication and interpersonal skills in both verbal and written English.

Location: Colombia; Brazil; Peru The Data Center Capacity & Inventory Engineer owns a single, accurate, and always-current view of the organization's entire data center estate worldwide. The role exists because the biggest infrastructure decisions — where to place workloads, when to expand or consolidate, and how to plan a move — are only as reliable as the underlying data on power, cooling, racks, and space. That information is typically fragmented across sites, spreadsheets, and providers. This role consolidates it into one authoritative source of truth, keeps it current, and turns it into capacity forecasts, utilization reporting, and move/migration analysis the business depends on. It is accountable for the inventory and operational data of every facility the organization uses — owned, colocation, and edge. Scope & Context Global portfolio: every data center facility across all regions — company-owned and on-premises sites, colocation and wholesale space, and edge or remote equipment rooms. Physical assets: racks and cabinets; power (utility feeds, UPS, generators, PDUs, circuits); cooling (CRAC/CRAH, containment, chilled water); floor, cage, and suite space; structured cabling; and environmental monitoring. Data domains: inventory, capacity and utilization, contracts and commitments (colo agreements, power and space reservations), and a history of physical changes. Organizational placement: reports into infrastructure/IT leadership and partners with networking, cloud, security, procurement, and finance. Key stakeholders: site and facilities teams, colocation providers, infrastructure engineering, capacity planning, finance (cost allocation), and the business units requesting space or moves. Key Responsibilities Define and enforce how every site records and reports its power, cooling, rack, and space configuration, so data is comparable across the portfolio. Participate in the the space, power, and cooling analysis behind data center moves, migrations, and consolidations: what fits where, target-site readiness, and the sequencing of each move. Supply the accurate capacity and utilization data that drives resourcing and planning decisions Manage capacity risk proactively: identify sites approaching power, cooling, or space limits before they constrain the business. Uphold resilience, safety, and compliance standards across facilities, including redundancy targets (for example N+1) and disaster-recovery posture. Inventory, Data & Capacity Management (Core Mandate) This is the primary purpose of the role: a single, trusted, global source of truth for every data center, kept accurate and current. Maintain the global inventory and data for all facilities A complete register of every data center and equipment room, with location, provider, and contracted commitments. Space: floor area, cage and suite allocation, rack and cabinet counts, rack-unit (RU) inventory and occupancy, and remaining white space. Power: utility feeds and redundancy, UPS and generator capacity, PDU and circuit inventory, provisioned vs. actual draw (kW) per rack, row, and room, and PUE where measured. Cooling: cooling capacity and type, containment, redundancy (N, N+1), temperature and humidity envelopes, and thermal headroom. Racks & assets: rack elevations, cabinet layouts, and the physical assets each contains, mapped to their power and connectivity. Turn that data into decisions Track utilization and remaining headroom for space, power, and cooling at rack, row, room, and site level. Forecast capacity, flag sites approaching their limits, and recommend expansion, consolidation, or reallocation. Provide the analysis behind every move and migration — what a target site can support and how a move should be staged. Produce regular reporting and dashboards for leadership, finance, and planning. Own the tooling and data quality Define data standards, naming conventions, and an audit cadence that keep the inventory accurate. Run periodic physical audits and reconciliations against the recorded data. Requirements Proven experience managing data center infrastructure at multi-site or global scale, ideally across a mix of owned and colocation facilities. Deep, practical understanding of data center power, cooling, and physical space — circuits, PDUs, UPS and generators, redundancy concepts (N, N+1, 2N), cooling systems, and containment. A demonstrated track record of keeping accurate inventory and capacity data current across many sites. Experience planning and executing data center moves, migrations, consolidations, or build-outs. Colocation and vendor management experience — contracts, SLAs, capacity commitments, and cost control. Strong data and reporting skills: able to turn raw facility data into clear capacity forecasts and dashboards, with advanced spreadsheet skills and comfort using BI or reporting tools. Experience coordinating work across multiple regions, time zones, and stakeholder groups. Preferred Qualifications & Certifications Data center certifications such as Uptime Institute (ATD/ATS), BICSI DCDC, or EPI CDCP/CDCS/CDCE. Familiarity with specific DCIM platforms (for example Nlyte, Sunbird, Device42, or Hyperview). Knowledge of relevant standards — Uptime Institute Tier topology, ANSI/TIA-942, and ASHRAE thermal guidelines. Exposure to hybrid environments (on-premises, colocation, edge, and public cloud) and how physical capacity relates to workload placement. Awareness of data center sustainability and energy-efficiency practice, including PUE and power reporting. Benefits Full Remote Comfortable working on EST time zone Contractor Working equipment provided by the company Equal Opportunity Employer PartnerOne is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic. This recruitment process may use automated or artificial intelligence to screen or assess applicants. This job posting is for an existing vacancy.

Location: Houston, United States We are EnerMech, a specialist service company that delivers safe, integrated solutions for complex energy projects. For over 50 years, we have supported our clients across the world with unrivalled expertise, equipment, and technology throughout the entire asset lifecycle – both offshore and onshore. Operating through our global business lines of Energy Solutions, Infrastructure & Industrial Solutions, and Lifting Solutions, we provide a broad range of specialist services including cranes, lifting, fluid power, training, equipment rental, pipeline, process, subsea, and valve services. At EnerMech, we are driven by operational excellence, innovation, and technical expertise, delivering value through integrated solutions that reduce risk, improve efficiency, and enhance performance for our customers worldwide. Role Overview Purpose: lead complex or non-routine engineering within an assigned discipline, providing reliable technical delivery, independent checking and coaching across relevant ES and IIS scopes. Own the technical integrity, quality, schedule and traceability of assigned deliverables, including calculations, procedures, drawings and equipment specifications. Review and check engineering deliverables within demonstrated competence and approve outputs only within formally delegated authority. Provide technical direction to assigned engineers and develop graduate capability. Escalate high-risk, novel or out-of-authority decisions and technical deviations through the approved technical governance process. Responsibilities Develop discipline calculations, technical procedures, drawings, P&IDs and engineering content for work packs; establish assumptions, design basis, applicable codes and acceptance criteria. Use approved and validated calculation tools and understand their limitations. Independently check others’ work within demonstrated competence, document review findings and confirm closure before authorized release; maintain separation of preparation, checking and approval. Lead engineering for assigned ES and IIS scopes. Depending on discipline, these may include pipeline pre-commissioning, pigging, hydrotesting, dewatering, drying, nitrogen and leak testing, flange management, umbilicals, and inspection and integrity services. Act as the principal technical contact for assigned scopes, coordinating technical discussions, clarifications and agreed actions with clients, Project Managers and operations. Resolve technical queries within delegated authority and assess changes through management of change. Specify equipment and engineering mobilization requirements; support pre-mobilization trials, function testing and readiness reviews with maintenance, workshop and logistics teams. Provide technical leadership during site execution, working with the Project Manager and site supervisor to confirm compliance with approved procedures, resolve technical issues and assess proposed changes within delegated authority. Lead the engineering contribution to assigned tenders, consolidating methods, equipment requirements, estimates, resource needs, assumptions, exclusions and technical risks with commercial and project teams. Apply EnerMech and client quality, health, safety and environmental requirements; lead relevant technical risk reviews and resolve engineering nonconformities. Coach graduates and engineers in calculations, procedure writing, codes and engineering judgment; contribute evidence to competency development and assessment through the established process. Maintain controlled technical records, capture closeout lessons and contribute reusable procedures, templates and verified calculation methods to the global framework. Plan and coordinate engineering activities, deliverables, resources and interfaces to support agreed project milestones; report progress, dependencies and delivery risks. Develop and monitor engineering estimates and allocated budgets, identify variances and recommend improvements to support project profitability without compromising safety or technical requirements. Prepare and review technical requisitions, evaluate supplier technical submissions and resolve technical clarifications with procurement and vendors. Recommend engineering resources and competency requirements, allocate assigned engineering tasks and identify specialist support needs. Coordinate interfaces with other engineering disciplines and service lines to ensure an integrated and executable technical solution. Provide verified technical progress records, completion evidence and scope-change information to support project reporting, variations and invoicing. Requirements Experience: minimum 7 years of relevant engineering experience, supported by evidence of complex technical delivery, checking and mentoring. Qualifications: relevant engineering degree, including Mechanical, Civil, Electrical, Chemical or Ocean Engineering according to discipline, plus demonstrated application. Travel: office, workshop and onshore / offshore project support as required by assigned projects. Benefits At EnerMech, you'll join a global organisation where innovation, collaboration and technical excellence drive everything we do. You'll have the opportunity to influence business strategy, develop long-term customer partnerships and contribute to some of the world's most challenging energy and industrial projects. We offer a collaborative and entrepreneurial environment where commercial leadership is valued, professional development is encouraged and your contribution will directly support the continued growth and success of our business. Diversity & Inclusion EnerMech is committed to creating a diverse and inclusive workplace where everyone feels valued, respected, and empowered to succeed. We welcome applications from candidates of all backgrounds and experiences.

Location: Houston, United States We are EnerMech, a specialist service company that delivers safe, integrated solutions for complex energy projects. For over 50 years, we have supported our clients across the world with unrivalled expertise, equipment, and technology throughout the entire asset lifecycle – both offshore and onshore. Operating through our global business lines of Energy Solutions, Infrastructure & Industrial Solutions, and Lifting Solutions, we provide a broad range of specialist services including cranes, lifting, fluid power, training, equipment rental, pipeline, process, subsea, and valve services. At EnerMech, we are driven by operational excellence, innovation, and technical expertise, delivering value through integrated solutions that reduce risk, improve efficiency, and enhance performance for our customers worldwide. Role Overview Establish, develop and lead the Americas engineering function across ES and IIS, implementing the global engineering operating model while maintaining responsive regional delivery. Provide dedicated transformation leadership and remain the long-term regional owner of capability, standards adoption, engineering governance implementation and workforce development. Translate globally defined standards, competency requirements and approval levels into consistent local practice. Lead the assigned regional engineering team and own its training, development and competency readiness. Coordinate capability across countries and service lines and with other regional engineering leaders to enable agile delivery and global workforce flexibility. Manage the regional technical authority process and access to appointed authorities. Responsibilities Implement the engineering transformation locally: establish the capability and workload baseline, assign process owners, clarify responsibilities and deploy approved procedures, review gates and readiness requirements. Maintain a regional engineering delivery and capacity plan with operations, project and commercial leaders; match work to verified competence, secure checking capacity and escalate resource conflicts. Embed engineering early in tendering, project planning, equipment preparation, mobilization and field handovers, supporting realistic technical commitments and effective delivery interfaces. Ensure preparation, independent checking and approval responsibilities are explicit and recorded. Route high-risk or specialist decisions to appointed Technical Authorities and escalate unresolved technical / schedule conflicts to the Global Engineering Director. Lead adoption of controlled documentation, shared templates, verified calculation methods and approved digital workflows; manage regional implementation of engineering process and tool improvements within the global strategy. Implement the global competency framework and maintain regional team training and development plans aligned with competency gaps and delivery needs; coordinate structured training, mentoring and graduate rotations, develop multiskilling across relevant ES and IIS services and support succession planning. Coordinate regional recruitment and capability development with regional leadership and HR. Coordinate with other Regional Engineering Managers to share visibility of capacity, competencies and demand; agree cross-regional resource sharing, mobility and development opportunities to respond rapidly to changing priorities and provide global delivery flexibility. Align assignments with verified competence and regional commitments, promote common methods and reuse of technical lessons, and feed improvement proposals into the global framework. Monitor engineering quality, schedule adherence, readiness, rework, review turnaround and capability development; provide transparent regional delivery reports, risk escalation and corrective-action follow-up. Apply EnerMech and client quality, health, safety and environmental requirements; ensure competent technical risk assessment, management of change and closure of engineering assurance findings. Sustain regional ownership through routine governance, standards-adoption checks, training compliance and continuous improvement across onshore and offshore delivery. Requirements Experience: normally 8–12+ years of relevant engineering experience, including at least 3 years in engineering leadership Qualifications: relevant engineering degree, including Mechanical, Civil, Electrical, Chemical or Ocean Engineering according to discipline, plus demonstrated application. Evidence: implementation of standards and review processes; coordination of engineering resources; structured training / mentoring; and delivery across operations and project interfaces. Competency: Advanced leadership, planning and governance, with sufficient technical breadth to direct multidisciplinary ES / IIS support and recognize specialist limits. Travel: travel across the Americas and collaboration with global teams as required. Benefits Why Join EnerMech? At EnerMech, you'll join a global organisation where innovation, collaboration and technical excellence drive everything we do. You'll have the opportunity to influence business strategy, develop long-term customer partnerships and contribute to some of the world's most challenging energy and industrial projects. We offer a collaborative and entrepreneurial environment where commercial leadership is valued, professional development is encouraged and your contribution will directly support the continued growth and success of our business. Diversity & Inclusion EnerMech is committed to creating a diverse and inclusive workplace where everyone feels valued, respected, and empowered to succeed. We welcome applications from candidates of all backgrounds and experiences.

Location: Serres, Greece ALUMIL is seeking a Production Engineer for its subsidiary BMP, located in the Industrial Area (B.I.PE.) of Serres. About BMP BMP was founded in 1954 in Legnano, Italy, and is ISO 9001 certified. The company specializes in the production of thermoplastic gaskets and sealing solutions. In Greece, BMP operates two production facilities (in Serres and Kilkis) with a combined production capacity of more than 30 tons per day. Through this investment, BMP Greece has completed a significant growth cycle and now offers a comprehensive product portfolio. The company's core values include quality, a customer-centric approach, continuous employee training and development, and competitive pricing. About the Role As a Production Engineer, you will be responsible for planning, implementing, and improving production processes. You will analyze manufacturing workflows, contribute to capacity planning, and collaborate with teams to enhance productivity and reduce downtime. Key Responsibilities Monitor and optimize production processes for efficiency and quality improvement. Develop and maintain production schedules in coordination with the planning team. Analyze and troubleshoot manufacturing issues to minimize downtime. Implement process improvements and automation solutions. Ensure compliance with safety regulations and company policies. Collaborate with maintenance, quality assurance, and R&D teams on continuous improvement initiatives. Provide technical support and training to production staff. Prepare reports on production metrics and present findings to management. Requirements Bachelor’s degree in Mechanical Engineering, Industrial Engineering, or a related technical field. Knowledge of lean principles, and quality management. Ability to analyze data and use problem-solving tools effectively. Excellent communication and teamwork skills. Ability to work in a fast-paced industrial environment and manage multiple priorities. Good English knowledge Good AutoCAD knowledge Benefits What you’ll gain Provision of private life & health insurance Annual bonus according to your performance Annual customized training plan Excellent working environment Role specific benefits About us At ALUMIL we are building excellence every day. Alumil has more than 30 years of experience in the production of architectural aluminium systems and 3.000 employees. We are one of the most advanced companies globally owning state-of-the art production lines in our 12 factories in Europe. Alumil, is a family-owned business that also embraces all of its employees like family. Our culture’s primary focus is on integrity, team spirit, initiative, loyalty and “meraki” (spirited work). ALUMIL opposes any discrimination, unequal treatment and violation of human rights and ensures the provision of equal opportunities at work. When hiring and evaluating employees, it does not discriminate based on race, gender, religion, age, disability, sexual orientation, nationality, political beliefs or social status.

Location: Brussels, Belgium We currently have a vacancy for a Senior LLMOps Engineer fluent in English, to offer his/her services as an expert who will be based in Belgium. The work will be carried out either in the company’s premises or on site at customer premises. In the context of the first assignment, the successful candidate will be integrated in the Development team of the company that will closely cooperate with a major client’s IT team. Your tasks: Design, build, and maintain production-grade ML systems with a strong focus on Large Language Models (LLMs) in a secure hybrid on-prem / cloud infrastructure; Deploy, test, manage and monitor ML models in different containerized environments; Work closely with data scientists and back-end developers to build, test, integrate and deploy ML models; Evolve the LLMOps lifecycle: data preparation, fine-tuning, evaluation, deployment, monitoring, and iteration. Develop evaluation frameworks for LLM quality, robustness, and regression tracking; Analyse performance metrics and troubleshoot issues to ensure high availability and reliability; Design CI/CD pipelines, use orchestration solutions and data versioning tools; Creating automated anomaly detection systems and constant tracking of its performance and optimizing ML pipelines for scalability, efficiency and cost-effectiveness; Provision of security studies, security assessments or other security matters associated with information system projects; Provision of support and guidance to other team members on LLMOps/MLOps practices. Requirements University degree in a relevant field such as Computer Science, Information Technology, or Systems Engineering combined with relevant IT professional experience of at least 10 years; Excellent experience of managing an on-prem and/or cloud LLM / MLOps infrastructure; Experience with data analytics over big datasets, non-structured databases as well as data lakes; Experience with monitoring and logging tools (e.g. ELK stack, Prometheus, Grafana, OpenTelemetry, Cloudwatch); Experience with model testing and model validation in production environments; In depth knowledge of containerisation and orchestration platforms (e.g. Kubernetes, Docker, Podman, EKS, PKS); Good knowledge of MLflow, TensorFlow (TFX) or equivalents; Good knowledge of Airflow; Good knowledge of AWS or EU cloud providers; Good knowledge of Python; Good knowledge of Unix and Bash; Good knowledge agile software development methodologies; Good knowledge of infrastructure as code (Terraform, CloudFormation); Excellent knowledge of messaging services and platforms (e.g. Kafka, Redis, RabbitMQ); Knowledge of NoSQL databases, such as OpenSearch, MongoDB as well as query languages, such as SQL, Hive, Pig, etc. and with information extraction; Excellent command of the English language. Benefits If you are seeking a career in an exciting, dynamic and multicultural international environment with exciting opportunities that will boost your career, please send us your detailed CV in English, quoting reference (158837/10/2026). We offer a competitive remuneration (either on contract basis or remuneration with full benefits package), based on qualifications and experience. All applications will be treated as confidential. You may also consider all our other open vacancies by visiting the career section of our web site ( www.eurodyn.com) and follow us on Twitter (@EURODYN_Careers) and LinkedIn. EUROPEAN DYNAMICS ( www.eurodyn.com) is a leading European Software, Information and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Berlin, Stockholm, London, Nicosia, Valetta, Vienna, Den Haag, Hong Kong, etc.) The company employs over 1000 engineers, IT experts and consultants (around 3% PhD, 36% MSc and 53% BSc). We design and develop software applications using integrated, state-of-the-art technology. Our current IT projects have a value exceeding 300 million EURO. EUROPEAN DYNAMICS is a renowned supplier of IT services to European Union Institutions, international organizations, European Agencies and national government Administrations in 40 countries and 4 continents. As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, color, age, national origin, ethnicity, gender, disability, sexual orientation, gender identity or religion. EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published in www.eurodyn.com/privacy. By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorise ED to process your personal data for the purposes of the company's recruitment opportunities, in line to the Policy.

Location: Warsaw, Poland; Madrid, Spain; Tbilisi, Georgia; Sofia, Bulgaria; Yerevan, Armenia; Podgorica, Montenegro CloudLinux is a global remote-first company. We are driven by our principles: do the right thing, employees first, we are remote first, and we deliver high-volume, low-cost Linux infrastructure and security products that help companies to increase the efficiency of their operations. Every person on our team supports each other and does what we can to ensure we all are successful. Check out our website for more information: https://cloudlinux.com/ Imunify360 is CloudLinux's security suite for Linux web servers: real-time and background malware scanning, automated cleanup, a WAF, runtime PHP protection (Proactive Defense), a database malware scanner, and IP reputation. It runs on hosting providers' shared, VPS, and dedicated servers, so new web-malware campaigns land on our fleet early. We sit on one of the largest labeled corpora of live web-server malware in the industry: files, verdicts, cleanup outcomes, and analyst decisions collected from production hosting servers every day. It already drives our signatures, heuristics, and ML models, and there is far more to get out of it. We are looking for a Senior ML Engineer who will turn that data into detection that ships — classifiers, LLM-assisted triage and generated signatures — and keep exploring new ML/LLM methods against it, measured by the product's false-negative and false-positive rates, not by notebook accuracy. Our dataset focuses on web malware — PHP, JavaScript, HTML phishing kits, infected WordPress and Joomla plugins and themes, database injections — with the context around each file. What you'll work with: Malware samples from production servers, with verdicts and analyst decisions Years of signatures and detection rules Customer-reported false negatives and false positives Runtime behavior of code on live sites Web-attack traffic File metadata and how files spread across servers Cleanup outcomes, including what came back What you will do: The goal is 10x more malware detected at the same or lower false-positive rate. Hand-written rules and faster pipelines will not get there; models trained on our data might. Decide which files on a server deserve a closer look, within tight CPU and memory budgets Tell malicious code from benign at fleet scale and a sensible cost per file Generate detection signatures automatically from new campaigns Catch malware that only looks malicious in context, such as phishing pages and script injections Route each file to the right detection engine Make cleanup precise so sites stay clean afterwards Prove each model improves detection before it ships How we work: You get an experimentation track, GPUs, and a direct line to leadership; in return, you bring numbers, not opinions. Remote-first, async across UTC−5 to UTC+8. Decisions are written down (ADR-Lite) and public by default. Hardware follows evidence: Each training direction starts with dedicated GPUs on our own bare metal; leadership has committed to fund more when the case is made with data. Agentic engineering: Claude and Codex are the default tools, wired to GitLab, Jenkins, Redash, Jira, and Slite through MCP servers. We look at how engineers work with agents — context, specificity, review quality — not only at output. Close to ground truth: You work daily with malware analysts, detection and infrastructure engineers, and the rest of our ML team. Ship gates: No model or build goes out if it raises false positives or false negatives on our past-error sets. Blameless post-mortems within 24 hours. What you'll deliver: You own the path from raw samples to a model in production, and the numbers that prove it helped. First month: A first model trained on production data and measured against today's engines — suspicious-file triage or a metadata model. The evaluation harness in place: splits by time and campaign so families don't leak, and a regression set from past FPs and FNs. By month 3: Several models in production: some in shadow mode building evidence, some live and producing real detections, all gated on the past-error regression set. A training setup that keeps its GPUs busy. A written proposal (ADR) for the detection cascade, with cost per file and hardware needs. By month 12: Models are a main source of new detections, reported as share of new detections and FN-rate trend. Retraining on fresh analyst and FN labels on a fixed cadence. Generated signatures inside the analyst workflow. Two or three parallel training directions that other engineers can run with your tooling. Requirements What you bring: 5+ years building ML systems that ran in production, including 2+ in an adversarial domain: security, abuse, fraud, or spam. Y ou have trained and fine-tuned transformer models yourself — data preparation, tokenizing code, LoRA/QLoRA or full fine-tunes, distillation, quantization — not only called hosted APIs. Classic ML depth: gradient boosting, linear models on sparse features, calibration, class imbalance, and judgement on when these beat an LLM. Evaluation discipline: leakage-free splits by time and family, precision at a fixed false-positive budget, regression sets, and an honest account of why production will differ from offline. Inference cost engineering: you have measured throughput and latency and made a model fit a CPU or memory budget (ONNX, llama.cpp, vLLM, int8/int4). Strong Python, PyTorch and the Hugging Face stack; SQL on large analytical tables (ClickHouse or similar). Familiarity with PHP or JavaScript , or willingness to pick it up working with our malware analysts. You use AI coding agents daily and can show how. English at upper-Intermediate (B2) level or higher , with particularly strong written communication for async work. It is a strong plus if you have: Web malware, webshells, phishing kits or WordPress security experience. Models over code: AST or token features, code LLMs, graph models on program structure. Malware clustering and similarity analysis. Multi-GPU training on your own bare metal; MLflow or Weights & Biases; dataset versioning. Go or Rust, for on-server inference. Published work or talks on ML for security. Benefits What's in it for you? A focus on professional development. Interesting and challenging projects. Fully remote work with flexible working hours, that allows you to schedule your day and work from any location worldwide. Paid 24 days of vacation per year, 10 days of national holidays, and unlimited sick leaves. Compensation for private medical insurance. Co-working and gym/sports reimbursement. Budget for education. The opportunity to receive a reward for the most innovative idea that the company can patent. By applying for this position, you consent to the processing of your personal data as described in our Privacy Policy ( https://cloudlinux.com/candidate-privacy-notice ), which provides detailed information on how we maintain and handle your data.

Location: Warsaw, Poland; Sofia, Bulgaria; Podgorica, Montenegro; Tbilisi, Georgia; Yerevan, Armenia; Madrid, Spain CloudLinux is a global remote-first company. We are driven by our principles: do the right thing, employees first, we are remote first, and we deliver high-volume, low-cost Linux infrastructure and security products that help companies to increase the efficiency of their operations. Every person on our team supports each other and does what we can to ensure we all are successful. Check out our website for more information: https://cloudlinux.com/ CloudLinux Inc. develops the Imunify family of security products , designed to protect hosting environments from a wide range of cyber threats. One of these solutions is Imunify Email , an email security product that protects hosting servers against spam, phishing, and other email-based threats. Imunify Email filters mail on about 5,000 hosting servers. Today the filter is rspamd with rules and a scoring model we train in-house. We are replacing it with a transformer we trained ourselves that runs on the customer's own CPU in under 100 MB and already beats rspamd at every operating point we measured. We are looking for a Senior Machine Learning Engineer to join our team and work alongside the engineer currently responsible for both the existing spam-filtering pipeline and the new ML model. Together, you will drive the development, improvement, and production rollout of our email security technology. What you will do: Train, evaluate, and release spam-detection models: build the corpus, pick the threshold, read the precision/recall report, decide ship or retrain. Build the production side of the new engine in Go: the inference service, the mail-filter integration, the tokenizer, the streaming message parser. Fix detection quality end to end, from a customer's "this phishing got through" to a rule, a corpus fix, or a retrain, with the false-positive cost weighed against the catch. Keep the corpus tooling and training infrastructure running. Review and approve classifier, rule, and model changes, so no release waits on one person. Answer partner engineers who ask why a message scored the way it did. Write specs, handbooks, and post-mortems. That is how this team transfers knowledge. Your first six months: Month 1: you ship a rule-model release on your own. Month 3: your first piece of the new engine is merged and running on staging. Month 6: a model release goes out while the principal engineer is away. Requirements What you bring: 5+ years of shipping detection or classification systems where false positives have a cost you had to defend: anti-spam, anti-phishing, anti-malware, fraud, abuse. You have taken at least one ML classifier to production yourself: corpus construction, threshold selection, error analysis. Hands-on transformer training in PyTorch: tokenizers, masked-language pre-training, fine-tuning, ONNX export, CPU inference measurement. Linux, shell, and Python on shared servers and a shared GPU. Daily usage of AI coding agents and tools. English at upper-Intermediate (B2) level or higher , with particularly strong written communication skills for technical documentation, specifications, and code reviews. Your specs and merge-request descriptions count as much as your code. It is a strong plus if you have: Email internals: SMTP, MIME, transfer encodings, SPF / DKIM / DMARC, how Exim, Postfix, and Dovecot handle mail to a filter. Experience in creating embedded models Go or Rust for systems code: parsers, streaming, memory budgets, concurrency. rspamd or SpamAssassin internals: rules, composites, Lua plugins, mass-check scoring. Multi-million-sample corpora, labelling pipelines, annotator tooling. Small models for constrained hardware: quantization, distillation, latency budgets. LLM-based labelers or validators for scaling annotation. Hosting panels: cPanel, Plesk, DirectAdmin. Benefits What's in it for you? A focus on professional development. Interesting and challenging projects. Fully remote work with flexible working hours, that allows you to schedule your day and work from any location worldwide. Paid 24 days of vacation per year, 10 days of national holidays, and unlimited sick leaves. Compensation for private medical insurance. Co-working and gym/sports reimbursement. Budget for education. The opportunity to receive a reward for the most innovative idea that the company can patent. By applying for this position, you consent to the processing of your personal data as described in our Privacy Policy ( https://cloudlinux.com/candidate-privacy-notice ), which provides detailed information on how we maintain and handle your data.

Location: Warsaw, Poland; Prague, Czechia; Sofia, Bulgaria; Bucharest, Romania; Madrid, Spain; Tbilisi, Georgia CloudLinux is a global remote-first company. We are driven by our principles: do the right thing, employees first, we are remote first, and we deliver high-volume, low-cost Linux infrastructure and security products that help companies to increase the efficiency of their operations. Every person on our team supports each other and does what we can to ensure we all are successful. Check out our website for more information: cloudlinux.com Imunify360 Security Suite is an innovative security solution designed specifically for shared and VPS/Dedicated servers. The automated, easy-to-use solution with the six-layer approach to security delivers comprehensive and complete attack prevention. We are looking for a Lead Security Engineer - Vulnerability Response to join our Web Protection Team. The challenge ahead When a critical vulnerability in a popular web application or WordPress plugin goes public, attackers start exploiting it within hours. Most site owners can't patch that fast. We want our customers protected before the first attack reaches them, and we want them to know it. That's the challenge we're hiring for: AI-driven vulnerability response. Build and run a pipeline that detects new high and critical vulnerabilities, generates WAF rules with AI assistance, validates them, and ships them to production in a short window. Protection plus public announcement, both automated. The same pipeline that ships the rule also produces the public advisory. Every critical vulnerability we cover is announced soon after the rule ships, so customers and the market see that Imunify closed it first. Build on what works. An AI-assisted pipeline already runs for our WordPress protection plugin. The first big project is to extend this approach to ModSecurity/Coraza WAF rules. Speed without breaking sites. On shared hosting, a rule that blocks legitimate traffic is a customer incident. Fast and precise both matter. Make it measurable. Time-to-protection, coverage of critical vulnerabilities, and false-positive rate are the numbers this role owns. About the role You will own the vulnerability response pipeline end to end and be its main builder. You combine deep web application security expertise with strong automation skills, and you think about the product: what customers need, what to measure, what to build next. You'll lead a small team of security analysts and work closely with automation, QA, and marketing. What you'll do Design and build the AI-driven pipeline from disclosure to announcement: vulnerability intake, triage, rule drafting, testing, release, and the public advisory. Lead the extension of our existing WordPress-plugin pipeline to ModSecurity/Coraza rules. Write and review WAF rules (ModSecurity/SecLang) for real-world web vulnerabilities. Build test harnesses that check rules against exploits and real traffic before release. Lead and mentor security analysts: set priorities, review their work, remove blockers. Define and track time-to-protection, coverage, and false-positive rate, and improve them. Automate advisory generation as part of the pipeline, and agree the format and review flow with marketing. Requirements What we're looking for: 5+ years in web/application security: vulnerability research, detection engineering, WAF engineering, or similar. Deep understanding of web attack classes (SQLi, XSS, RCE, auth bypass, path traversal, file upload, deserialization) and how to detect them in HTTP traffic. Hands-on experience writing WAF rules (ModSecurity/SecLang, OWASP CRS, or similar) and regular expressions. Able to read PHP code and understand a vulnerability from an advisory or a patch diff. Strong Python: you've built automation pipelines that run in production. CI/CD and automated testing. Hands-on daily use of AI/LLM tools; you know where to trust them and how to verify their output. Proven track record of leading a technical project end to end. Product mindset: you reason about customer impact, not only technical correctness. Upper-intermediate English or better. Nice to have: WordPress ecosystem security: plugin vulnerabilities, vulnerability feeds (Wordfence, Patchstack, WPScan), CVE credits or bug bounty. Coraza or other WAF engines. Exploit analysis or threat intelligence background. Linux server administration, hosting industry. Personal skills: Strong ownership: you take a goal, not a task list. See the whole process and find the bottleneck, not only fix individual issues. Communicate clearly and raise risks early. Calm under pressure: critical vulnerabilities don't wait for working hours. Comfortable making decisions with incomplete information. Benefits What's in it for you? A focus on professional development. Interesting and challenging projects. Fully remote work with flexible working hours, that allows you to schedule your day and work from any location worldwide. Paid 24 days of vacation per year, 10 days of national holidays, and unlimited sick leaves. Compensation for private medical insurance. Co-working and gym/sports reimbursement. Budget for education. The opportunity to receive a reward for the most innovative idea that the company can patent. By applying for this position, you consent to the processing of your personal data as described in our Privacy Policy ( https://cloudlinux.com/candidate-privacy-notice ), which provides detailed information on how we maintain and handle your data.

Location: Armenia; Georgia; Poland; Estonia; Azerbaijan; Romania Intetics Inc. , a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a highly skilled and experienced Senior PHP Engineer to join our dynamic team. The client is a leading company specializing in advanced cybersecurity solutions. They provide comprehensive security measures designed to protect sensitive data and systems from cyber threats. Their offerings include vulnerability management, threat intelligence, incident response, and compliance management. With cutting-edge technology and a team of experts, they ensure robust protection for organizations across various industries, helping clients stay ahead of evolving cyber threats and maintain a secure digital environment. Responsibilities Take end-to-end ownership of QA for a new .NET-based product as the sole QA engineer. Define and implement the testing strategy, test plans, quality standards, and release readiness criteria. Select appropriate automation tools and build a maintainable test automation framework from scratch. Design, implement, and maintain automated tests covering critical functionality, integrations, and end-to-end workflows. Perform manual and exploratory testing to validate new features and identify issues beyond automated coverage. Integrate automated tests into CI/CD pipelines and ensure reliable, actionable test results. Collaborate with developers and product stakeholders to clarify requirements, identify edge cases, and improve testability early in development. Investigate defects, document reproducible findings, and verify fixes. Drive release quality by assessing test coverage, communicating risks, and providing clear release readiness recommendations. Requirements Proven experience in a Senior QA or QA Automation role, with the ability to independently own the full QA lifecycle. Experience establishing QA processes and building test automation frameworks from scratch. Strong hands-on programming skills in at least one language used for test automation; no specific language is required. Solid understanding of test design techniques, risk-based testing, and selecting appropriate levels of test coverage. Experience testing APIs, backend services, and integrations. Ability to combine automated, manual, and exploratory testing effectively. Experience integrating automated testing into CI/CD pipelines and working with Git. Strong troubleshooting skills, including working with logs, test data, and databases. Ability to select tools pragmatically, prioritize testing activities, and work independently in a new project with evolving requirements. Clear communication skills and the ability to explain quality risks to technical and non-technical stakeholders. Nice to Have Experience testing .NET-based applications or programming in C#. Previous experience as the sole QA engineer on a product. Experience with performance, load, or security testing. Experience with containerized test environments and Docker.

Location: Dubai, United Arab Emirates M1 CONSTRUCTION L.L.C is seeking a qualified Structural Engineer to join our engineering team. The successful candidate will be responsible for assisting in the design, analysis, and supervision of structural elements in construction projects to ensure safety, reliability, and compliance with industry standards. Key Responsibilities: Assist in structural design calculations and prepare design drawings for various projects. Review and interpret engineering documents, plans, and specifications. Collaborate closely with architects, contractors, and project managers to ensure integrated project execution. Conduct site visits to monitor construction activities and ensure compliance with design specifications. Support preparation of technical reports and project documentation. Assist in resolving any technical issues related to structural engineering during construction. Requirements Bachelor’s Degree in Civil or Structural Engineering. Minimum 3 years of experience in structural engineering roles, preferably within the UAE construction industry. Knowledge of local building codes, regulations, and standards. Proficiency in structural analysis and design software such as STAAD Pro, ETABS, or equivalent. Strong skills in AutoCAD and other drafting tools. Good communication and teamwork abilities. Benefits - Visa provided - Health Insurance provided - Competitive salary

Location: Dubai, United Arab Emirates We are seeking a proficient Mechanical Design Engineer to join our engineering team. The candidate will be responsible for designing, developing, and optimising mechanical systems and components for various construction projects, ensuring compliance with industry standards and project specifications. Key Responsibilities: Develop detailed mechanical designs, drawings, and specifications for HVAC, plumbing, and other mechanical systems. Use CAD and BIM software (AutoCAD, Revit, SolidWorks) to prepare layouts and 3D models. Collaborate with multidisciplinary teams to integrate mechanical designs with architectural and structural layouts. Conduct engineering calculations and simulations to verify design viability and performance. Review and revise designs based on project requirements, codes, and client feedback. Ensure all designs comply with local regulations and industry standards. Coordinate with contractors, and suppliers to support project execution. Participate in site visits to monitor installation and resolve design-related issues. Requirements Bachelor’s degree in Mechanical Engineering or related field. Minimum 5 years of experience in mechanical design engineering, preferably in the construction industry. Proficiency in CAD and BIM software such as AutoCAD, Revit, and SolidWorks. Strong knowledge of mechanical systems including HVAC, plumbing, and fire protection. Familiarity with local building codes and regulations. Excellent analytical, problem-solving, and communication skills. Ability to work collaboratively in multidisciplinary teams and manage multiple tasks effectively. Previous experience with a consultant. Benefits Competitive salary. Official UAE employment status. Comprehensive medical insurance coverage.

Location: Bessé-sur-Braye, Pays de la Loire Workplace: OnSite ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE MISSION You will work every day on the racks that power one of France's largest AI clusters. Mistral's compute footprint is our single largest investment and the foundation of our AI research and engineering. We're hiring Data Center Hardware Engineers to keep our GPU/CPU clusters healthy, safe and growing — hands-on, in the data center, at the intersection of high-performance computing and physical infrastructure. You'll join a small, senior team working at a scale few engineers get to experience: GPU-dense racks (H100/H200-class and next-generation platforms), high-speed interconnects, liquid-cooled systems — with new sites under development in France and beyond. Hardware here is not someone else's problem. As part of a small on-site team, you carry responsibility for it end to end. Location: On-site at one of our data center in Bessé-sur-Braye, Pays de la Loire. WHAT YOU'LL DO - Diagnose & repair server and cluster hardware: CPUs, memory, drives, NICs, GPUs, PSUs, and interconnect problems (switches, cables, transceivers; Ethernet/InfiniBand). - Intervene safely — power-off/lockout, ESD discipline, pre/post-work checklists, tidy and safe work areas. - Capture everything — photos, serials, test results; open, update and close tickets with notes the next engineer can act on. - Manage parts — receive, label and track inventory; run RMAs and coordinate with vendors. - Help us get better — feed recurring anomalies into monitoring, alerts and SOPs; contribute small scripts (Python/Bash) if you have those skills. - Be a good teammate — clear status updates, honest handovers, and respect for the people depending on the cluster. ABOUT YOU - Hands-on comfort in data centers or server hardware — you can (or will quickly learn to) work cleanly in racks: rails, cabling, labeling, mounting. - Disciplined and meticulous: checklists aren't bureaucracy to you, they're craftsmanship. - Practical electrical basics: power-off procedures, PPE, short-circuit risk awareness. - Basic Linux (boot checks, logs) — scripting is a plus, not a requirement. - Physically able to work in racks (lift, mount, maneuver) in a data center environment. - Comfortable in a 24/7 operation, including a rotating on-call with emergency response expectations. - Driver's licence (B) for travel between our sites. EVEN IF YOU DON'T MATCH EVERY CRITERION Many of our best hardware engineers came from research labs, telecoms, IT services or the military. If you are rigorous, curious and genuinely motivated by hardware at scale, we would be glad to hear from you — we assess demonstrated scope rather than keyword matching. NICE TO HAVE - HPC/AI/cloud production experience at scale; large-fleet server install and maintenance. - Networking fundamentals (Ethernet/InfiniBand) beyond basics. - Vendor/RMA tooling, ticketing (Jira/ServiceNow), inventory systems. - Python/Bash automation for checks, capture, inventory or reporting.   WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: San Francisco; New York City Workplace: OnSite The charter of Perplexity’s Core Experience team is to create a cohesive, intuitive, and delightful user experience by integrating cutting-edge AI capabilities and research into a unified system. The Core Experience team works closely with product design teams to ship a world-class web app that’s used by millions of people every day. We imagine and build the interfaces through which people experience the promise of AI. We are seeking a talented engineer with an uncompromising dedication to the craft of frontend web development. You’ll help us to define the future of human-agent collaboration: establishing intuitive mental-models, patterns, and state-representation. You’ll work closely with design to prototype, architect, and engineer novel interfaces for interacting with AI collaborators. WHAT YOU’LL DO - Build and ship polished, high-craft, intuitive web interfaces - Constantly improve high-visibility surfaces like agent chat threads, artifact editing, and message composition - Partner directly with design to turn visionary ideas into production implementations - Solve complex problems across architecture, state-management, animation, and performance-optimization - Collaborate with capabilities and research teams to synthesize the latest research into coherent production experiences - Support other product teams by designing reusable libraries and SDKs to maintain a high quality-bar across all surfaces of the product WHAT WE’RE LOOKING FOR - Strong proficiency in modern web technologies: React, TypeScript, CSS, etc. - Exceptional taste: relentless attention to detail, from aesthetics to performance to code-quality - Comfortable owning projects end-to-end, working at high velocity in an ambiguous environment where the industry changes by the day - Keen product sensibilities: being able to reason about what will work, what won’t, and articulate why - Customer obsession: always thinking about how what you’re building will touch the person on the other side of the screen

Location: New York, New York, United States About the Role The ideal candidate for this role is a strong cloud architect who excels at both big-picture thinking as well as hands-on technical work.  With very strong AWS, Kubernetes and web infrastructure skillsets, they will be working on projects building or improving our core compute, core network and edge infrastructure. They also play a critical role in helping the iCapital platform scale and doing so with an automation-first mentality. The engineer will work with application and platform teams to onboard services, establish connectivity, troubleshoot traffic flows, and maintain consistent networking patterns across environments. Responsibilities Design and continually improve Kubernetes architecture, also helping operationally manage cluster lifecycle. Work on projects integrating new self-hosted and SaaS services, in some cases understanding and working with developers to help design software architecture Manage Transit Gateway, Network Firewall and external connectivity.  Own architectural guidance for edge and traffic management, including CDN, DNS, and TLS strategies (e.g., Akamai, Cloudflare). Produce and maintain reference architectures, design documents, and architectural guardrails Partner with engineering, security, and product teams to ensure platform standards are practical, well understood, and broadly adopted. Qualifications 8+ years of experience in platform, cloud, or infrastructure engineering roles, with demonstrated architectural responsibility.  Must have strong hands-on experience designing and operating Kubernetes platforms in production environments, including a strong understanding of autoscaling strategies, node provisioning, and security on EKS. Deep understanding of AWS infrastructure, including networking, security primitives, and managed services.  This includes expertise in cloud networking architecture patterns, including VPC design, routing, and planning for scale. Strong understanding of ingress/egress, TGW design and private connectivity. Comfortable operating as a senior individual contributor with influence across multiple teams as a leader. Very Strong written and verbal communication skills, with the ability to explain architectural decisions to both technical and nontechnical audiences. Preferred Qualifications Expertise in Kong or other API Gateways at a deep level Experience directly managing Akamai in a production environment Strong understanding of application design principles Some experience with EKS standards such as Bottlerocket, Karpenter, Auto-mode A software engineering background is helpful, and some experience with Python expected. Certifications (AWS / Kubernetes) are a plus but not required. Benefits The base salary range for this role is $150,000 to $190,000 depending on level. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: Brazil About the Role Join Alvys, an early-stage company transforming the $800B US freight industry. As a DevSecOps Engineer, you'll help protect our platform and the customer data it holds. You'll close cloud security gaps, build security checks into how we ship software, run our penetration testing program, and stand up the infrastructure behind our internal security, IT, and AI tools. This role combines hands-on infrastructure work with coordination across DevOps, engineering teams, IT & Security, and outside security vendors. Industry Insight Freight companies run their business on Alvys: loads, drivers, carriers, payments, and financial records. As more of the industry moves to modern software, customers expect that data to be protected like any other business-critical system. Security is part of how we earn and keep their trust. About Alvys Alvys is building a multi-tenant SaaS platform that powers modern transportation operations. We combine deep industry knowledge with strong technical execution to bring clarity, automation, and reliability to one of the world's most essential industries. Security is a shared responsibility at Alvys, and this role helps every team meet that bar. Our Principles Engineering Principles Build for Real-World Impact. Our users rely on Alvys to solve real problems, not abstract ones. Every security fix should reduce real risk to our platform and the people moving freight every day, not just clear a scanner finding. Extreme Ownership and Empowerment. Ownership extends beyond building. It means being accountable for quality, reliability, and customer impact. If it's in production, it's yours: bugs, uptime, and results. Technology Debt is Strategic, Not Accidental. Technical debt is a strategic choice, not an oversight. We incur it deliberately when it unlocks speed, learning, or market advantage. Our architecture remains clean, maintainable, and scalable as we grow. Simplicity Scales; Complexity Costs. Logistics is inherently complex, but our technology shouldn't be. We prioritize simplicity in our architecture, leveraging modularity and well-defined service boundaries to reduce cognitive load. Radical Transparency. We democratize data and make it accessible across all functions to drive alignment and decision-making. Transparency also means feedback. We systematize constructive feedback loops to ensure growth. Engineering Culture Move Fast, Learn Fast. Speed is our advantage, but we move fast intentionally. We bias for action, assume positive intent, and treat every mistake as a learning opportunity. Own the Outcome. Every engineer owns outcomes, not tickets. We take responsibility end-to-end, identifying problems, delivering solutions, and ensuring they last. Partner, Don't Gatekeep. Security works best when it's built with the teams who own the systems. We share context with DevOps and engineering teams, explain the risk behind each ask, and make the secure path the easy one. Pragmatism Over Purism. Perfect security doesn't exist, but reduced risk does. We choose fixes that scale, are maintainable, and address real threats, not theoretical ones. People Over Heroics. We don't reward burnout or always-on behavior. Sustainability is a feature, not a luxury. If someone needs to slow down, unplug, or take care of life outside work, that's expected. Responsibilities Cloud security architecture Design and deliver infrastructure changes that strengthen our cloud security posture, including network isolation and identity-based access. Make these changes through infrastructure as code, plan rollouts that avoid customer downtime, and work with service owners to update the applications that depend on them. Build secure defaults into our infrastructure modules so new resources start out compliant. Vulnerability management and pipeline security Help run our vulnerability management program, driving remediation within defined SLAs. Extend our existing security scanning with AI-assisted security testing, such as automated security code review and AI-driven penetration testing. Tune and improve the automation we already use to process security findings. Penetration testing Manage our third-party penetration tests from start to finish: scoping and targeting, test environments and accounts, vendor coordination, findings intake, and retesting. Help mature our internal, AI-assisted penetration testing tool into a dependable part of the security program, including deployment and scheduled runs. Infrastructure for security, IT, and AI tooling Deploy and operate internal applications in Azure, with identity, secrets, networking, and backups set up correctly from day one. Build telemetry pipelines (OpenTelemetry into Azure Monitor) for our AI and internal tools, with dashboards and alerts that surface anomalous activity. Working with others Partner with DevOps, engineering teams, and IT & Security to plan and prioritize work. Write clear runbooks and documentation, and produce evidence for our SOC 2 program. Tech Stack Cloud: Azure (AKS, App Service, Azure Functions, Storage, Key Vault, Cosmos DB, VNets, Microsoft Entra ID) Infrastructure as code: Terraform CI/CD: GitHub Actions and Azure DevOps pipelines Containers: Docker, Kubernetes, Azure Container Registry Observability: Azure Monitor, App Insights, Log Analytics, OpenTelemetry, Grafana Security: Aikido, Cloudflare AI tooling: Cursor, Claude, Claude Platform (managed agents), Grokbot Application code: .NET/C#, TypeScript, Angular, React Minimum Qualifications Fluent in English, spoken and written. 3+ years of professional experience in DevOps, cloud infrastructure, platform engineering, or security engineering. Hands-on experience with at least one major cloud provider (Azure, AWS, or GCP), including networking, identity and access management, and secrets management. Production experience with infrastructure as code, preferably Terraform. Experience building and maintaining CI/CD pipelines. Working knowledge of containers and Kubernetes. Scripting skills in Python, PowerShell, or Bash. Understanding of common security risks in cloud and web applications, and how to fix them. Ability to explain technical risk clearly to engineers and non-engineers. Preferred Qualifications Experience with Azure specifically, including private endpoints, VNet integration, and Entra ID managed identities. Experience with application security testing (SCA, SAST, DAST), and interest in applying AI to security testing. Experience coordinating penetration tests or working with external security firms. Experience with OpenTelemetry, Azure Monitor, or similar observability tools, including writing alert queries (KQL is a plus). Familiarity with SOC 2, ISO 27001, or CIS Benchmarks. Interest in AI tooling and how to deploy and monitor it safely. Security certifications such as AZ-500, Security+, or similar are a plus. Background in logistics or transportation is a bonus.