About The Role Reporting to the VP of Projects, the Principal, Project Metallurgist serves as the senior technical authority and subject matter expert (SME) for metallurgical and process engineering across Torex Gold’s project portfolio. This role provides technical leadership through the full project lifecycle, from early-stage studies through engineering, commissioning, and operational readiness. The Principal, Project Metallurgist, ensures metallurgical integrity in process design, oversees metallurgical test work and consultant deliverables, and supports optimization initiatives across the Morelos Complex and future development projects. Working closely with corporate and site teams, the role ensures that metallurgical solutions are technically robust, aligned with project objectives, and ready for successful operational implementation. About Torex Gold “Our purpose is to transform finite mineral resources into lasting prosperity by positively impacting all the lives we touch.” We are a Canadian mining company engaged in the exploration, development, and production of gold, copper, and silver from our flagship Morelos Complex in Guerrero, which is currently Mexico’s largest single gold producer. The Company also owns the advanced-stage Los Reyes gold-silver project in Sinaloa, Mexico, and recently acquired a portfolio of early-stage exploration properties, including the Batopilas and Guigui projects in Chihuahua, Mexico, and the Gryphon and Medicine Springs projects in Nevada, USA. Torex consistently delivers on our commitments guided by our key strategic objectives: optimization of Morelos production and costs; disciplined growth and capital allocation; growth of reserves and resources; excellence in project delivery; retention and attraction of best industry talent; and being an industry leader in responsible mining. We have proven over the past decade that we can make a positive impact on people’s lives and the environment around us, all while improving safety, achieving operational efficiencies, realizing cost reductions, and generating positive return on investment. This is what makes us strong. This is the Torex way. What We're Looking for: Education: Bachelor's degree in Chemical, Metallurgical, or Mineral Processing Engineering Professional Engineer designation Experience: 10+ years of progressive technical, operational, engineering, and project experience, including significant exposure to study and execution phases At least 5+ years in process operations or operational support roles Experience in precious and base metals processing, including water systems and tailings management Demonstrated experience leading metallurgical inputs into PEA, Pre-Feasibility, and Feasibility studies Experience approving flowsheets, plant modifications, plant expansions, and optimization strategies Strong experience managing and governing consultant deliverables Experience supporting operational readiness, pre-commissioning, and commissioning Skills: Deep metallurgical and process engineering expertise Strong governance mindset with the ability to challenge assumptions and ensure technical discipline Ability to collaborate effectively with corporate leaders, project development teams, and site operations Confident communicator capable of presenting to executive and site leadership Strong analytical and problem-solving capabilities Experience working in multicultural environments Spanish language knowledge (written, spoken, and read) is considered an asset Key Accountabilities Efficient Processing of Ore In collaboration with the Principal Engineer, Geometallurgy, manages metallurgy and processing-related test work for projects Analyzes and reviews metallurgical parameters from Geometallurgy, and provides input and guidance around blending rates for projects Management and Oversight of Ore Processing Design Aspects of Projects Approves designs and plans related to metallurgy and processing as per the developed framework, including flowsheet development, modifications to existing facilities, and expansion to existing facilities Reviews all technical documentation related to process engineering and metallurgy, and advises the Team Leader of any deviations and corrective actions Monitors and coordinates all the work done by consultants and keeps the Team Leader informed of any deviations Acts as a resource for sites in the planning of metallurgy and processing projects, leading specific pieces of work for projects Supports operational readiness, pre-commissioning, and commissioning of new processing facilities What Success Looks Like Metallurgical inputs into studies are robust, defensible, and aligned with corporate standards Projects advance with strong process design governance and minimal technical rework Optimization initiatives result in measurable improvements to plant performance and capacity Consultant work is well-coordinated and aligned with Torex's technical expectations Seamless transition from project development into operations Why Join Us? Impactful Work: Help optimize the Morelos Property’s potential as we continue to diversify and create value for our shareholders. Hands-On Leadership: Be directly involved in driving key initiatives and processes that positively impact people’s lives and the environment around us. Collaborative Environment: Work with a dedicated team of professionals committed to being an industry leader in responsible mining. Competitive Total Rewards Annual Base Salary: $155k- $200k Short-term incentive plan and long-term incentives Extended group health and dental plans Health Care Spending Account of $1,000 per year Insurance coverage (Life, AD&D, STD, and LTD) RRSP matching Wellness initiatives, ongoing development, and career growth opportunities Four weeks of vacation for everyone Flexible work arrangements The posted salary range represents our target pay for this role. Final compensation will be determined based on the comprehensive review of the candidate’s qualifications, skills, and experience, as well as internal equity and external benchmark data for comparable roles. This posting is for an existing vacancy that the Company is actively recruiting to fill, and while we use technology to help us with our recruitment campaigns, we do not use Artificial Intelligence in the screening of applicants. Join us in shaping the future of Torex Gold! Please note that Torex Gold does not accept unsolicited resumes from recruitment agencies without a created agreement in place for permanent/contract placements. Torex Gold Resources is an equal-opportunity employer. We are proud to provide employment accommodation during the recruitment process. Should you require any accommodation, please indicate this when you apply, and we will work with you to meet your accessibility needs.

This role is part of the Jobright TNT - the private hiring network connecting top talent with top AI startups like Perplexity, Mercor, Cresta, Suno and 150 more. This is not a mass job posting. Only select, high-signal candidates are invited to Jobright TNT and recommended directly to hiring teams Hiring Company: Cresta One-liner: Cresta is a $1.6B enterprise AI platform born out of the Stanford AI Lab, transforming how Fortune 500 companies run their contact centers. Salary: $190K/yr - $300K/yr Why Join Us: Role Responsibilities • Design, develop, and maintain scalable and robust backend architectures for Cresta's AI Agent solutions and proprietary models • Collaborate with cross-functional teams including frontend engineers, machine learning engineers to ensure seamless integration of AI Agents into Cresta's customer solutions • Lead initiatives to enhance system scalability and reliability in production environments, focusing on backend services that support AI functionalities • Drive efforts to optimize server response times, process large volumes of data efficiently, and maintain high system availability • Innovate and implement security measures, cost-reduction strategies, and performance improvements in backend systems supporting AI Agents Qualitications Required • Bachelor's degree in Computer Science or a related field • 5+ years of experience in backend system architecture, cloud services, or related technology fields • Proficient in designing and maintaining clear and robust APIs with a strong understanding of protocols including gRPC, REST • Previous experience working with Virtual Agent or AI Agent systems • Experience in high-performance database schema design and query optimization, including knowledge of SQL and NoSQL databases • Experience in containerized application deployment using Kubernetes and Docker in microservices architectures • Experience with cloud environments such as AWS, Azure, or Google Cloud, with a strong understanding of cloud security and compliance standards How can I join Jobright TNT: If this is your first time applying to a Jobright TNT role, the process works as follows: 1. Apply to your first Jobright TNT role 2. We review your background to determine if you meet the TNT quality bar 3. If qualified, your application is directly recommended to the employer 4. Once accepted into TNT, you may be: - Invited to apply for other exclusive TNT-only roles - Invited to private, invite-only hiring events with top startups You will be notified of your TNT selection result. PS: All Jobright TNT roles are 100% real, directly hired by top AI startups we partner with, and come with priority review and higher response rates than the normal application queue.

About LandingAI LandingAI is building the infrastructure to make the world’s documents computable. We are an AI-native company transforming unstructured and dark data into trusted, structured, auditable data that software can understand and act on. Our focus is on the hardest document understanding problems: multiple document types, complex layouts, tables, images, handwriting, and mixed modalities within and across workflows. Founded by Andrew Ng, LandingAI has brought together some of the strongest AI Engineers and Machine Learning Engineers in the industry, with deep expertise in visual AI, agentic systems, foundation models, and production ML infrastructure. We build from the ground up where it matters, move fast with the latest AI coding tools and agentic developer workflows, and invest in the compute and technical environment needed to do exceptional work. Our work is grounded in three core strengths: Agentic systems built for production . We have been early builders of agentic AI systems and have applied that work in the real world through Agentic Document Extraction (ADE), our platform for parsing, understanding, and extracting information from complex documents with traceability, control, and production-grade reliability. A data-centric mindset . We bring a rigorous, practical approach to model quality, edge cases, evaluation, and real customer data, because solving document understanding in production requires far more than strong benchmark performance. A vision-first approach to foundation models . We build from the ground up where it matters, including specialized document models and agentic systems, because solving real document understanding problems requires more than stitching together generic components. Since launching Agentic Document Extraction in early 2025, LandingAI has grown quickly by bringing a modern, AI-native approach to a legacy intelligent document processing market ready for disruption. This is a place for builders. If you want to work on real technical depth, move quickly, take ownership, and help define the future of document intelligence, LandingAI is the place to do it. Key Responsibilities: Be a driving force for the team's agentic coding practice - establishing patterns for spec-driven development, context engineering, and multi-agent orchestration that compound team output. Collaborate cross-functionally with product managers, designers, and backend/ML engineers to deliver solutions that solve real customer problems. Architect, develop, and maintain modern, responsive web applications using React.js, Next.js, and TypeScript. Implement pixel-perfect, accessible UI components leveraging Tailwind CSS, ShadCN, or other modern styling frameworks. Ensure frontend performance, scalability, and reliability, optimizing for low latency and a seamless user experience. Take ownership of the full software development lifecycle: design, development, testing, deployment, and monitoring of frontend systems. Mentor and guide engineers, setting best practices for UI development, code quality, and technical direction. Contribute to developer experience, working with backend teams to design intuitive APIs and ensure smooth integration across the stack. Stay ahead of trends in frontend engineering and bring fresh ideas to elevate user experience and productivity. Required Skills: Fluency with agentic coding tools (Claude Code, Codex or equivalent). Experience writing effective specs, managing repo context, and reviewing/verifying agent output. 5+ years of professional experience in frontend development with a strong focus on React.js and Next.js . Proficiency in JavaScript, TypeScript, and ES6+ features . Strong product sense and customer empathy . Comfortable making judgment calls on scope, UX tradeoffs, and what's worth building without waiting for a spec. Deep experience with modern UI frameworks (Tailwind CSS, ShadCN, or similar). Solid understanding of web application architecture and frontend–backend interactions . Proven track record of leading frontend projects , from early prototypes to production systems. Strong collaboration skills across engineering, product, and design teams. Experience mentoring engineers and contributing to team-wide technical direction. Nice to Haves: Experience with databases (e.g., Postgres) and ORMs (Prisma.js, Sequelize.js). Exposure to computer vision, LLMs, or multimodal AI applications. Experience building developer-facing products (e.g., SDKs, dashboards, APIs). Familiarity with Docker, Kubernetes, and cloud environments (AWS/GCP/Azure). Experience simplifying user experiences for complex, enterprise-facing software. This role is onsite at our Mountain View HQ , with the expectation to work from the office on a daily basis. As we are a global team, the position also requires flexibility to collaborate across international time zones.

Company Overview KKR is a leading global investment firm that offers alternative asset management as well as capital markets and insurance solutions. KKR aims to generate attractive investment returns by following a patient and disciplined investment approach, employing world-class people, and supporting growth in its portfolio companies and communities. KKR sponsors investment funds that invest in private equity, credit and real assets and has strategic partners that manage hedge funds. KKR’s insurance subsidiaries offer retirement, life and reinsurance products under the management of Global Atlantic Financial Group. References to KKR’s investments may include the activities of its sponsored funds and insurance subsidiaries. Team Overview The Investment Technology group at KKR builds and operates the systems that power the entire investment lifecycle—from deal sourcing and portfolio construction to risk management and monetization. We design platforms that connect data, people, and insights across Private Equity, Credit, Real Estate, Infrastructure, and Capital Markets, enabling investment teams to make faster, smarter decisions at scale. Our mandate is to transform how KKR invests by engineering shared, data-driven platforms that replace fragmented legacy tools with integrated solutions that drive efficiency, transparency, and alpha generation. Position Summary As a Lead Engineer, you will serve as a senior hands-on technical leader responsible for coordinating cross-functional execution and delivering larger, more complex initiatives. You’ll combine strong architectural understanding with delivery leadership, ensuring teams execute effectively through ambiguity. Responsibilities Lead planning and execution of larger technical initiatives. Drive technical design for complex features and systems. Coordinate work across engineers, product partners, and stakeholders. Identify and remove execution blockers to improve delivery efficiency. Mentor engineers and strengthen technical depth across the team. Ensure systems are reliable, scalable, and aligned with platform strategy. Qualifications 8+ years of experience building enterprise-grade software solutions. Bachelor’s degree in computer science, engineering, or a related field preferred; or equivalent practical experience. Extensive experience delivering complex, multi-component systems. Strong architectural intuition and execution discipline. Ability to lead technical delivery through ambiguity. Proven track record of mentorship and technical influence. Strong sense of ownership for outcomes and system health. TECH STACK AWS (EKS, RDS, Aurora), Python (FastAPI), React, PostgreSQL, Redis, Kestra (job scheduling), PySpark (ETL / Medallion model), with AI-assisted development tools used across the SDLC. This is the expected annual base salary range for this New York-based position. Actual salaries may vary based on factors, such as skill, experience, and qualification for the role. Employees may be eligible for a discretionary bonus, based on factors such as individual and team performance. Base Salary Range $150,000—$190,000 USD KKR is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law. KKR will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email Benefits@kkr.com. Emails sent for unrelated issues, such as following up on an application, will not receive a response. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access https://www.kkr.com/careers because of your disability. You can request reasonable accommodations by sending an email to Benefits@kkr.com. Only emails left for this purpose will be returned. Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. This notice applies only to applicants and employees who work or will work in Massachusetts, in accordance with applicable state law.

Requisition ID: 262547 Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. The Global Wealth Engineering (GWE) team is continuously modernizing and enhancing the client and account onboarding platforms for Scotia Wealth Management. Our group consists of several agile teams working closely together to deliver, support, and maintain the client and account onboarding systems to provide the best client experience. The team is searching for a client-focused full stack engineer who is motivated to contribute to the development of components of enterprise applications and providing hands-on development and testing on all project assignments. You will work as part of a team to ensure that the business and technical architecture of the delivered solution matches business requirements. You will be asked to implement various aspects of design and development while working with architects, developers, key business stakeholders, various technical support teams across the Bank, regulatory and compliance groups, and senior leadership. We are looking for an energetic and ambitious individual looking to make a difference for our clients. Is this role right for you? In this role you will: Contribute to the design, development, and implementation of full-stack applications for internal and external-facing systems. Work with modern frameworks such as React, Next.js, and Node.js, building components and services under guidance from senior engineers. Assist in developing RESTful APIs, integrating with microservices and event streaming platforms (e.g., Kafka, Google Pub/Sub). Collaborate with team members to deliver high-quality solutions following Agile development practices. Participate in code reviews, follow established coding standards, and continuously improve technical skills. Support CI/CD pipelines, automated testing, and deployment processes. Apply security-first principles in development, including secure coding practices and API design. Troubleshoot and resolve issues in development and production environments with guidance from senior engineers. Do you have the skills that will enable you to succeed in this role? We’d love to work with you if you have. Bachelor’s degree in Computer Science, Engineering, or related technical field (or equivalent practical experience). 2–4 years of full-stack development experience (internship and/or professional). Familiarity with: Front-End: React.js, Next.js, JavaScript (ES6+), TypeScript. Back-End: Node.js, Java (Java 8+), Spring Boot basics. Microservices & REST APIs: Understanding of service-oriented architecture. Event Streaming: Exposure to Kafka or Google Pub/Sub is an asset. Cloud Platforms: Google Cloud: Cloud Run, Cloud Functions basics. Microsoft Azure: App Services, Key Vault basics. DevOps & CI/CD: Basic knowledge of Git, Jenkins, GitHub Actions. Security: Awareness of SSL/TLS, OAuth2, JWT. Databases: SQL (PostgreSQL, Azure SQL), basic NoSQL (MongoDB). Understanding of Agile methodologies and SDLC. Strong problem-solving skills and willingness to learn. Ability to work effectively in cross-functional teams and take direction from senior engineers. Experience with containerization (Docker, Kubernetes) – asset Understanding of financial services domain – asset What's in it for you? Diversity, Equity, Inclusion & Allyship - We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias-free practices and inclusive values across Scotiabank. We embrace diversity and provide opportunities for all employee to learn, grow & participate through our various Employee Resource Groups (ERGs) that span across diverse gender identities, ethnicity, race, age, ability & veterans. Accessibility and Workplace Accommodations - We value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. Scotiabank continues to locate, remove and prevent barriers so that we can build a diverse and inclusive environment while meeting accessibility requirements. Upskilling through online courses, cross-functional development opportunities, and tuition assistance. Competitive Rewards program including bonus, flexible vacation, personal, sick days and benefits will start on day one. Dynamic Ecosystem - Free tea & coffee, universal washrooms, and lots of space for team collaboration. Community Engagement - We offer opportunities for community engagement & belonging with our various programs such as hackathons. Location(s): Canada : Ontario : Toronto Scotiabank is a leading bank in the Americas. Guided by our purpose: 'for every future', we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets. At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

The Opportunity Are you an experienced Senior Software Engineer, Backend (Infrastructure) looking to make a significant impact at the intersection of scalable web services and cutting-edge AI technologies? We're seeking a talented engineer to lead the development, deployment, and management of web services and infrastructure that empower AI-driven products and initiatives. As part of our dynamic engineering team, you'll collaborate closely with AI researchers, product managers, and technologists to deliver innovative solutions that transform the experiences of end-user professionals and enterprise clients across diverse industries. Your Impact Leverage your extensive experience in Python to build and enhance backend systems that seamlessly integrate with machine learning and AI-driven features. Design and implement robust business logic using web frameworks such as Django, ensuring compatibility with AI components and integration with MySQL. Architect scalable solutions utilizing technologies like Nginx, Kafka, MySQL, Cassandra, Redis, and big data platforms to support sophisticated AI models and workflows. Write reusable, efficient, and maintainable code that underpins our high-performance web services and supports real-time AI analytics. Collaborate closely with AI teams to streamline data pipelines, optimize model deployment, and ensure backend systems effectively support AI-based product features. Communicate effectively with stakeholders across multiple teams, clearly articulating technical strategies related to AI-enabled infrastructure. We're Looking For Someone Who Has 5+ years of experience in developing and architecting large-scale web services, preferably with exposure to supporting AI systems. Holds a Bachelor's, Master's, or Ph.D. in Computer Science or a related field. Demonstrates strong expertise in databases, distributed systems, backend performance optimization, and familiarity with backend requirements for machine learning infrastructure. Possesses expert proficiency in Python or other programming languages such as Go, Java, or C++. Has extensive experience with web frameworks like Django and is comfortable integrating systems with technologies such as MySQL, Redis, Elasticsearch, Kafka, and Cassandra, particularly in support of AI workflows. Demonstrates a solid understanding of database internals, transactions, indexing, and experience in schema design optimized for AI data workloads. Has hands-on experience deploying and managing services on AWS, particularly those interfacing with machine learning platforms. Is driven by ownership and passionate about delivering impactful solutions from conception to deployment, especially in collaborative environments with AI-focused teams. Brings substantial production server experience or equivalent backend expertise to the table. Has excellent communication skills, a genuine curiosity for technology, and meticulous attention to detail. Nice to haves Familiarity with HTTP, networking principles, and API design patterns beneficial to AI integrations. Experience with operating systems, particularly Linux, and an understanding of their interactions with AI applications and services. About Otter.ai We are in the business of shaping the future of work. Our mission is to make conversations more valuable. With over 1B meetings transcribed, Otter.ai is the world’s leading tool for meeting transcription, summarization, and collaboration. Using artificial intelligence, Otter generates real-time automated meeting notes, summaries, and other insights from in-person and virtual meetings - turning meetings into accessible, collaborative, and actionable data that can be shared across teams and organizations. The company is backed by early investors in Google, DeepMind, Zoom, and Tesla. Otter.ai is an equal opportunity employer. We proudly celebrate diversity and are committed to building an inclusive and accessible workplace. We provide reasonable accommodations for qualified applicants throughout the hiring process. Accessibility & Accommodations Otter.ai is committed to providing reasonable accommodations for candidates with disabilities in our hiring process. If you need assistance or an accommodation during any stage of the recruitment process, please contact hr@otter.ai at least 3 business days before your interview. Otter.ai does not accept unsolicited resumes from 3rd party recruitment agencies without a written agreement in place for permanent placements. Any resume or other candidate information submitted outside of established candidate submission guidelines (including through our website or via email to any Otter.ai employee) and without a written agreement otherwise will be deemed to be our sole property, and no fee will be paid should we hire the candidate. Salary range Salary Range: $185,000 to $230,000 USD per year. This salary range represents the low and high end of the estimated salary range for this position. The actual base salary offered for the role is dependent on several factors. Our base salary is just one component of a comprehensive total rewards package.

About INNIO Group INNIO Group is a global distributed energy solutions provider that delivers reliable, flexible, transient, decentralized, modular and efficient power. With a track record of innovation, INNIO designs, manufactures and services high‑performance power systems under its Jenbacher and Waukesha brands. The company delivers power for applications including data centers, microgrids, grid stabilization, industrial energy and gas compression. INNIO operates a global installed base across approximately 100 countries as of December 31, 2025, supported by a resilient, high‑margin services business that delivers long‑term, recurring revenues across the full equipment lifecycle. As electricity demand accelerates—driven by AI, electrification and grid constraints—INNIO enables scalable, behind‑the‑meter power generation with high efficiency, fast start capability, strong transient performance and fuel flexibility, including hydrogen‑ready solutions. INNIO employs over 5,000 people worldwide and is committed to moving energy forward. Position Overview The Lead Mechanical Engineer will be part of our Genset Development team. This position is responsible for leading projects and initiatives with broad scope and significant impact on the business, leveraging technical expertise in reciprocating engines. The role contributes to overall strategy and manages complex issues within INNIO as well as with customers and suppliers. This position requires an assertive Senior Engineer with strong communication and leadership skills, capable of coordinating complex, cross-functional engineering projects and driving efficient solutions while balancing technical requirements and strategic business goals. This position will be based at our Houston, TX office. Responsibilities Identify technical product weaknesses at the generator set level across design, production, and customer operation, and drive issue resolution through all levels of the organization until critical KPIs are met. Act as the technical project lead for INNIO’s scope of supply on multiple large and complex engine projects, focusing on identifying project needs and executing projects through to closure. Coordinate and document project-specific product specifications and subsystem definitions across all involved internal functions and external partners. Manage changes to project requirements in collaboration with Customers, Sales, Suppliers, Engineering teams, Service, Product Management, Sourcing, and other INNIO functions. Organize and lead regular project meetings, track action items, and drive resolution of technical challenges. Facilitate the application of new, non-established technical solutions based on project-specific requirements. Own project milestone tracking and ensure on-time delivery of project deliverables. Prepare and conduct internal project reviews in collaboration with PMO and PLM. Support Sourcing in localization projects and supply base initiatives by evaluating and validating alternative packaging suppliers, providing technical RFQ documents, and participating in alignment calls and supplier visits. Requirements Bachelor’s or Master’s degree in Mechanical Engineering or equivalent education, with eight (8) or more years of relevant engine development experience Substantial experience in reciprocating engine mechanical development within the medium- to large-bore sector Proficiency in the latest engineering tools and methodologies relevant to product development, including but not limited to: RCA, DFMEA, Six Sigma, DMAIC, Fishbone, FTA, and Design for Reliability Hands-on experience across a broad range of engineering aspects such as design, analysis, validation and testing, production, and prototyping Commitment to sustainability by supporting initiatives that reduce life-cycle emissions and contribute to the development of low-carbon and circular products Ability to travel up to 75% of the working time spent at customer sites Valid driver's license and passport Legally authorized to work in the United States Knowledge, Skills, & Abilities Strong leader leadership and communication skills to effectively manage and support a team of engineers and technical experts, as well as external suppliers. This includes fostering a collaborative and innovative work environment. Ability to influence others and support large, globally diverse teams towards common goals Strong ability in conflict management, expectation setting as well as say/do mentality Organizational skills required to manage large, integrated programs and teams Ability to engage effectively across all organizational levels within the US and Headquarter in Jenbach / Austria

Note: Have you done the Karat test? If yes, get me the dates Job Summary Deep expertise in Java (8+), Spring Boot, Microservices & Enterprise Architecture Strong experience in designing & integrating AI/ML and GenAI solutions into enterprise platforms Solid foundation in cloud-native architectures (AWS/Azure), Kubernetes, CI/CD Exposure to Big Data ecosystems (Kafka, Spark, Hadoop, Data Lakes, Streaming architectures) Ability to design end-to-end scalable data + AI platforms Proven leadership in mentoring teams and influencing architectural decisions Experience in BFSI / large enterprise ecosystems is a strong plus What you’ll do: Lead AI/ML and GenAI initiatives (NLP, intelligent automation, copilots, RAG-based systems) Design data-driven architectures leveraging Big Data pipelines & real-time processing Define reference architectures and governance standards across programs Collaborate with product, data science, and business stakeholders on high-impact initiatives Key Responsibilities Deep expertise in Java (8+), Spring Boot, Microservices & Enterprise Architecture Strong experience in designing & integrating AI/ML and GenAI solutions into enterprise platforms Solid foundation in cloud-native architectures (AWS/Azure), Kubernetes, CI/CD Exposure to Big Data ecosystems (Kafka, Spark, Hadoop, Data Lakes, Streaming architectures) Ability to design end-to-end scalable data + AI platforms Proven leadership in mentoring teams and influencing architectural decisions Experience in BFSI / large enterprise ecosystems is a strong plus What you’ll do: Lead AI/ML and GenAI initiatives (NLP, intelligent automation, copilots, RAG-based systems) Design data-driven architectures leveraging Big Data pipelines & real-time processing Define reference architectures and governance standards across programs Collaborate with product, data science, and business stakeholders on high-impact initiatives Skill Requirements Deep expertise in Java (8+), Spring Boot, Microservices & Enterprise Architecture Strong experience in designing & integrating AI/ML and GenAI solutions into enterprise platforms Solid foundation in cloud-native architectures (AWS/Azure), Kubernetes, CI/CD Exposure to Big Data ecosystems (Kafka, Spark, Hadoop, Data Lakes, Streaming architectures) Ability to design end-to-end scalable data + AI platforms Proven leadership in mentoring teams and influencing architectural decisions Experience in BFSI / large enterprise ecosystems is a strong plus

The application window is expected to close on: 07/13/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received . This is a hybrid role working onsite 3 days a week in Milpitas. However, candidates working remotely from the USA will be considered. MEET THE TEAM This team builds and supports networking products leveraging Cisco IOS-XR and open-source technologies, operating at the intersection of systems and silicon. The environment spans hyper-scale data centers, cloud infrastructure, and highly distributed systems where reliability, scalability, and customer outcomes are critical. The team combines deep platform and networking expertise with modern automation and data-driven approaches, including AI-assisted workflows, to accelerate issue resolution and improve product behavior in production. This role sits at the center of customer engagement, production support, and engineering collaboration, serving as a key bridge between customers and internal teams. YOUR IMPACT You will play a critical role in strengthening the team’s ability to design, deploy, and troubleshoot large-scale datacenter and cloud networking environments while scaling operational excellence through automation and intelligent tooling! Serve as a technical focal point for customer solutions, translating real-world constraints into scalable, supportable designs and operational models Partner closely with engineering teams to troubleshoot and resolve complex issues across datacenter and cloud networking stacks, establishing repeatable diagnostics and clear escalation paths Support high-priority customers on deep, cross-layer issues, driving problems to root cause with data-backed analysis and clear technical narratives Apply hyper-scale operational best practices, including telemetry, alerting, and workflow automation, to improve mean time to detect and resolve issues Develop and maintain Python-based tools to parse, correlate, and visualize operational data, and leverage AI/ML or LLM-based approaches where appropriate for log analysis, triage, and summarization Minimum Qualifications Bachelors degree + 7 years of related experience, or Masters + 5 years of related experience, or PhD + 2 years of related experience. Experience with routing and switching technologies in production environments or advanced lab settings Experience with Python programming skills, including building automation, parsing workflows, and troubleshooting tools (beyond basic scripting) Experience working with structured data and operational telemetry, including experience with time-series concepts, anomaly detection, or similar analytical approaches Experience with AI-assisted tools or workflows in engineering environments, including safe and effective use of GenAI or LLM-based APIs for operational support Preferred Qualifications Strong Linux experience supporting lab, tooling, or production-adjacent environments Background in system architecture, deployment engineering, or field engineering within Tier-1 enterprise or hyperscale environments Experience building scalable automation solutions using APIs, CI/CD pipelines, and repeatable workflows for testing and troubleshooting Experience applying AI-assisted techniques to operational workflows such as classification, anomaly detection, or search across telemetry and support data Familiarity with open-source and network operating systems such as SONiC, IOS-XR, or FBOSS Solid understanding of networking fundamentals including L2/L3, VXLAN, and security services such as MACsec Experience with development and collaboration tools including Git, Jira, and CI/CD systems Proven ability to troubleshoot and perform root cause analysis in large-scale, multi-vendor environments Experience supporting high-priority or escalated customer issues, with the ability to lead technically during critical situations Experience with network testing and validation tools such as Ixia, Spirent, or similar platforms Why Cisco? At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada: The starting salary range posted for this position is $183,800.00 to $263,600.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco’s plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco’s policies: 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees 1 paid day off for employee’s birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees Exempt employees participate in Cisco’s flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next Additional paid time away may be requested to deal with critical or emergency issues for family members Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco’s policies. Employees On Sales Plans Earn Performance-based Incentive Pay On Top Of Their Base Salary, Which Is Split Between Quota And Non-quota Components, Subject To The Applicable Cisco Plan. For Quota-based Incentive Pay, Cisco Typically Pays As Follows .75% of incentive target for each 1% of revenue attainment up to 50% of quota; 1.5% of incentive target for each 1% of attainment between 50% and 75%; 1% of incentive target for each 1% of attainment between 75% and 100%; and Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area $183,800.00 - $303,100.00 Non-Metro New York State & Washington State $163,600.00 - $269,800.00 For quota-based sales roles on Cisco’s sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers. She will pick the best candidates from Jack's network. The next step is to speak to Jack. Job Title Head of Engineering Salary $225K – $325K + 0.75% – 1.6% Equity Company Description Index Ventures-backed agentic AI startup automating institutional real estate for $T asset managers Job Description As the first Head of Engineering, you will own the technical truth for a high-intensity startup transforming the $300T built world. You’ll architect a robust agentic AI platform, scale a high-output engineering team from zero-to-one, and partner with leaders from Blackstone and OpenAI to automate complex development workflows for global institutions. Location San Francisco or New York City, USA Why this role is remarkable Work alongside a founding team with a proven track record, including the former CPTO of 11x.ai and an early engineer from Europe's fastest unicorn. Secure a high-impact leadership position at an Index Ventures-backed company already generating 7-figure revenue and serving clients managing nearly $2 trillion in assets. Earn significant equity and radical autonomy while building a generational agentic AI stack that translates directly into physical infrastructure and global real estate projects. What You Will Do Own the engineering function end-to-end, defining the architecture, infrastructure, and security protocols for a production-grade agentic AI platform. Lead, recruit, and mentor a team of elite engineers, fostering a culture of high execution velocity and uncompromising technical excellence. Partner with product and domain experts to encode complex real estate logic into autonomous systems that handle real-world load and ambiguity. The ideal candidate Extensive experience scaling a vertical AI company (e.g., Harvey, Sierra, or Glean) through a major growth phase with LLM-based systems. A tech lead or engineering manager who maintains deep hands-on coding skills and can debug complex production issues alongside the team. Proven track record in B2B or enterprise software, demonstrating a deep understanding of the reliability and security standards required by global institutions. Who are Jack & Jill? Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support. And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate. How does this work? Jack's an AI agent for job searching and career coaching. He works for you. Jill is the AI recruiter working for the company. She recruits from Jack's network. If it's a match and the company wants to meet you, they'll make the intro. In the meantime, if you'd like, Jack will send you excellent alternatives. We never post fake jobs This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network. Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description. We appreciate this can make them look a bit suspect, but there isn't much we can do about it. Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.