Role Description As the first Engineering Manager at Nebulock, you will lead the team responsible for the core systems that form the foundation upon which Nebulock is built. You will own the vision and execution of our data ingestion, transformation, and search layers that power threat hunting and detection engineering workflows for our customers. You will build and grow a high-performing team while remaining hands-on when needed. This is a foundational leadership role with significant ownership over architecture, team culture, and long-term technical direction. This role blends hands-on technical leadership with people management. You will: - Guide system design decisions - Empower engineers - Maintain a high bar for quality and execution - Partner cross-functionally with our internal detection engineering and threat hunting team, and our product engineers Ensure Nebulock’s platform can ingest, process, and reason over massive volumes of security telemetry (TBs / day). Technical Leadership - Own and drive the architecture of Nebulock’s data platform - Establish best practices for data modeling, system reliability, and performance optimizations - Oversee the development of complex entity correlation systems - Guide the development and evolution of real-time and batch processing systems - Ensure high-quality and clearly structured data models that power detection engineering and threat hunting workflows - Set standards for building scalable integrations across diverse and disparate data sources (EDR, IAM, Cloud, SaaS) Team Leadership - Build, mentor, and lead a team of backend engineers - Drive execution quality, velocity, and accountability across the team - Foster a culture of high-ownership, transparency, and low-egos - Support career growth and development of individual team members - Own recruiting for the data platform team as needed Cross-Functional Collaboration - Work cross-functionally to align on data platform needs and capabilities - Translate business and product priorities into concrete data platform roadmap items and deliverables - Partner in shaping Nebulock’s broader engineering culture and standards Qualifications - 6+ years of experience building backend distributed systems and working with data - 1+ years of experience managing engineering teams - Proficiency in Python, Java, Go, Rust, or similar - Experience with either AWS or GCP - Deep experience with data pipelines and event-driven systems - Strong understanding of system design, data modeling, and performance trade-offs - Experience with OLAP databases and large-scale query systems - Proven ability to lead a team that executes consistently and maintains a high-quality bar - Desire to operate in a fast-paced, low-ego environment Nice to Haves - Experience with streaming data processing engines (i.e. Flink) - Experience building or working with search systems over large datasets - Cybersecurity experience - Startup experience Benefits - A dynamic startup environment with opportunities for rapid career growth - A collaborative culture that values innovation and creativity - Competitive salary and equity options - Comprehensive benefits package (including 401K) - Opportunities to travel for conferences, workshops, and team-building events

Role Description This course is a Compulsory Core course for the Online MEM, and is the online version of the in-class EMP5100. - Introduction to management. - The structure of engineering organizations. - Planning and control in engineering management. - Interpersonal and presentation skills. Qualifications - Bachelor qualification degree in engineering or applied science. - MBA or postgraduate qualification degree in management, and a relevant professional designation (preferred). - Demonstrated 10+ years of experience, including 5+ years in management in an industrial/corporate/governmental context (preferred). - Demonstrated track record in online teaching and/or mentoring revolving towards management in an industrial/corporate/governmental context (preferred). Requirements - Active competence in a second language. Benefits - Hourly Rate: Enseignement / Teaching: $239.47 (2024-2025). - Work Hours: 39. - The academic year starts on September 1 and ends on August 31. - These rates do not include vacation pay nor statutory pay. - These rates will be applied until a new collective agreement is ratified. Retro will be paid after the ratification. Company Description The University of Ottawa embraces diversity and inclusion in the workplace. We are passionate about our people and committed to employment equity. We foster a culture of respect, teamwork and inclusion, where collaboration, innovation, and creativity fuel our quest for research and teaching excellence. - While all qualified persons are invited to apply, we welcome applications from qualified Indigenous persons, racialized persons, persons with disabilities, women and LGBTQIA2S+ persons. - The University is committed to creating and maintaining an accessible, barrier-free work environment. - The University is also committed to working with applicants with disabilities requesting accommodation during the recruitment, assessment and selection processes. - Applicants with disabilities may contact vra.affairesprofessorales@uottawa.ca to communicate the accommodation need. - All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.

Role Description We are looking for Mission Engineers (MEs) to be the tip of the Spear leading customer engagements and understanding the pain points and issues within current technology. You will design end-to-end solutions to solve some of the hardest problems within the national security enterprise. What You'll Do: - Act as the connective tissue between operators, analysts, and technical teams to translate mission needs into technical solutions. - Identify, articulate, and shape operational use cases that can be enhanced or enabled by AI/ML capabilities. - Interface with client leadership, developers, and external stakeholders to align product development with mission-critical needs. - Drive feedback loops between end users and engineers to ensure delivered solutions are impactful and relevant. - Support field testing, performance evaluations, and operationalization of new tools in a fast-paced, iterative environment. - Leverage Spear AI's core product offering, open source technologies, and whatever you can build to succeed. Qualifications - You’re fanatical about polish. Every detail matters. - You care about correctness. You take pride in the fact that downstream consumers trust libraries and services you build. - You obsess over performance. You daydream about Lighthouse scores and query speed. - You dive deep. It’s important for you to really know how things work. - You live on the bleeding edge. You’ve got a long list of upcoming platform features you’re excited about. - You’re a great teacher. You know how to break down a concept for a specific audience. Requirements - Active TS/SCI clearance. - Strong software engineering background. - Familiarity with data structures, storage systems, cloud infrastructure, front-end frameworks, and other technical tools. - Understanding of how technical decisions impact the user of what you're building. - Demonstrated ability to work in classified environments and liaise across operational and technical stakeholders. - Strong written and verbal communication skills, especially in conveying technical ideas to non-technical audiences. - Willingness and interest to travel as needed. Nice To Have - Degree in Computer Science or related degree. - Familiarity with AI/ML systems and their operational applications. - Military background or previous IC/DoD experience. Benefits - Unlimited PTO — Take the time you need to recharge and maintain work-life balance. - Dedicated sick time — Your health and well-being come first. - Comprehensive health and benefits – Medical, dental, and vision coverage to keep you and your family protected. - 11 Paid Holidays — Enjoy time off throughout the year to celebrate and spend time with loved ones. - Professional development — Educational opportunities and resources to help you grow your skills and advance your career. - Collaborative environment — Work directly with leadership in our flat organizational structure, where your ideas and contributions matter. - Mission-driven work — Contribute to projects that directly support national security and make a real-world impact. - 401(k) with company match. - Onsite / Remote / Flexible work arrangements or hybrid options (position dependent). - Relocation assistance (position dependent). - Referral bonuses. - Performance bonuses. - Life insurance and disability coverage. - Technology home office setup stipend. - Professional certification reimbursement (position dependent).

Role Description NextLink Labs is hiring a Forward Deployed Engineer to join our growing AI practice. You'll work directly with clients on the design, build-out, and roll-out of production AI systems, collaborating closely with an AI Architect and focusing on the robust data infrastructure that makes AI applications work in the real world, using tools like Airflow, Snowflake, BigQuery, and Databricks. As a "forward deployed" engineer, you'll sit close to the customer's problem: - Discovering use cases - Prototyping rapidly - Hardening what works - Shipping it into the client's environment Your time will be spent on hands-on engineering, delivering ETL/ELT pipelines for AI-powered applications, RAG pipelines, agentic workflows, and the supporting cloud infrastructure. This role has a strong consultative dimension and is distinct from pure backend development or pure research positions. Qualifications - 3–5 years of professional software engineering experience, with at least 1 year shipping AI/ML or LLM-based features to production - Strong Python skills; comfort with at least one of TypeScript/JavaScript, Go, or Java for integration work - Hands-on experience building applications with modern LLM APIs (Anthropic, OpenAI, Azure OpenAI, AWS Bedrock, etc.) - Background with data engineering tooling such as dbt, Airflow, Dagster, Snowflake, BigQuery, or Databricks - Working knowledge of RAG patterns, embedding models, and at least one vector store (pgvector, Pinecone, Weaviate, OpenSearch, etc.) - Solid grasp of one major cloud platform (AWS, Azure, or GCP), including how to deploy containerized services and manage secrets/IAM - Experience writing tests, instrumenting code, and reasoning about observability, including for non-deterministic systems - Strong written and verbal English; comfortable presenting technical work to client engineering teams and non-technical stakeholders - Customer-facing instincts: you ask good questions, manage ambiguity well, and don't disappear when a problem gets messy Requirements - Prior experience in a consulting, agency, or forward-deployed/solutions-engineering role - Experience with agent frameworks (Claude Agent SDK, AWS Strands, etc.) and MCP (Model Context Protocol) - Familiarity with prompt engineering, evals frameworks, and structured-output techniques - Infrastructure-as-Code experience (Terraform, Pulumi, CDK) and CI/CD pipelines - Exposure to regulated industries (financial services, healthcare) and the data-handling practices they require - Contributions to open-source AI tooling or technical writing/speaking on applied AI topics Benefits - We're a technical consulting firm that values clarity, ownership, and outcomes - Remote-first, with a strong written communication culture (docs, async updates, clear PRs) - Investment in your growth, including access to LLM playgrounds, an internal AI guild, and senior architects to learn from - The opportunity to build something big and exciting at the frontier of applied AI Location & Employment Type - Remote, LATAM - Long-term independent contractor - Significant overlap with US Eastern Time (ET) required