Job SummaryUnder the direction of the Manager, New Surveillance Systems Engineering, the Surveillance Systems Engineer participates in the planning, organizing, and performing work involved in the areas of system requirements, specifications, acceptance tests, configuration control, modifications, design enhancements and deployment of Surveillance system software and hardware. The Surveillance Systems Engineer provides technical expertise on hardware and software issues related to surveillance systems including, but not limited to A-SMGCS, SMR, GSR, and AGL. Job DescriptionWhat NAV CANADA offers you:<ul><li>Challenging, team-oriented work environment</li><li>Competitive compensation and flexible benefits</li><li>Defined benefit pension plan</li><li>Opportunities for growth and development</li><li>Flexible work arrangements</li><li>Diverse and inclusive workforce</li></ul> Job DescriptionKey Accountabilities: <ul><li>Prepare detailed plans, system designs, and specifications for the provision and implementation of systems to meet operational, technical and safety requirements.</li><li>Respond to system change and problem reports by determining root cause, identifying impact, workaround and mitigation, proposing and implementing solutions.</li><li>Evaluate vendor supplied systems and software; develop test cases based on Engineering Standards and site-specific requirements to certify and deploy system solutions.</li><li>Promote a Safety and Quality culture; document design, system change, test procedures following ISO and industry standards.</li><li>Participate in projects of varying complexity including documentation of technical requirements, statements of work, engineering briefs and system test scenarios.</li></ul> Job RequirementsEducation: <ul><li>Graduation from a recognized university with a degree in electrical, electronic, computer or aerospace engineering.</li><li>Professional Certification: Member or eligible to be a member in a Professional Engineering Association in Canada.</li></ul> Experience:<ul><li>A minimum of 3 years&#x2019; experience in the planning, design, test and implementation of safety and/or mission critical systems.</li><li>A minimum of 3 years&#x2019; experience in analyzing requirements, testing and maintaining systems to meet specifications, standards, and operational objectives.</li><li>Experience in investigating, analyzing and resolving engineering issues with surveillance systems such as Surface Movement Radar (SMR) and Advanced Surface Movement Guidance and Control System (A-SMGCS).</li></ul> Knowledge: <ul><li>Knowledge and understanding of engineering principles, practices, and technology in the field of Air Traffic Control (ATC) and surveillance systems.</li><li>Knowledge of electromagnetic theory, RF propagation, signal processing and techniques applicable to surveillance detection Systems.</li><li>Knowledge of problem-solving techniques and strategies, test methodologies, fault-finding techniques and diagnostic tools leveraging the theory and principles of engineering science.</li><li>Knowledge of Windows and Linux operating systems, networking, and communication standards and protocols.</li><li>A working knowledge of project management principles and techniques, system engineering process and practices, business practices and decision-making techniques.</li><li>Knowledge of International standards and regulations such as ICAO and EUROCAE for the safe and reliable provision of aviation surveillance systems.</li><li>Knowledge on Agile Framework .</li></ul> Abilities:<ul><li>Ability to analyze technical problems and propose solutions while meeting industry standards and regulations, and meeting operational safety and efficiency</li><li>Ability to create, document and execute test plans, test cases, and scripts for software and system changes to verify against system requirements.</li><li>Ability to complete technical analysis on projects with a wide range of dollar values and actively supports a Safety and Quality culture.</li><li>Ability to analyze and synthesize technical information, interpret the results of studies, develop strategies, and present recommendations to technical and non-technical audiences.</li><li>Ability to plan, conduct and/or review comprehensive studies, to prepare and/or review reports on specific aspects of unusual problems with existing or new deployments.</li><li>Ability to work autonomously under minimal supervision.</li><li>Ability to adapt to changing priorities, organize and time manage tasks to deliver quality work on time.</li><li>Ability to communicate effectively orally and in writing and to write specification, standards, statements of work and general engineering documents.</li></ul> Personal Suitability: <ul><li>Collaborate effectively in a multidisciplinary team with minimal supervision.</li><li>Demonstrate positive forward-thinking attitude and desire for continuous learning.</li><li>Demonstrates initiative, effective conflict resolution skills, diplomacy, and tact.</li><li>Able to build and maintain strong strategic relationships.</li></ul> Working conditions: <ul><li>This is a hybrid position with a minimum of 3 days per week on site required.</li></ul> NAV CANADA is committed to building a skilled, diverse workforce reflective of Canadian society. If you do not believe that you match every job requirement listed on this job posting, we still encourage you to apply. NAV CANADA encourages a culture of learning and growth, and recognizes that although some technical skills are mandatory, many others can be taught. Our Company strives to create an inclusive and barrier-free selection process and work environment. If you require accommodations during this competition process, please ensure that you inform the interview coordinator or hiring manager of any accommodation measures you may require. NAV CANADA will provide accommodations throughout the recruitment and selection process to applicants with disabilities as required. The successful candidate must meet the security requirement of the position and be legally able to work in Canada. We thank all applicants for their interest; only those selected for next steps will be contacted.

Surveillance Systems Engineer

CapIntel is a software platform built for wealth management enterprises to help financial advisors explain complex investment strategies to their clients. Advisors at some of the biggest banks across North America are winning trust by using CapIntel to easily compare investments and create compelling, educational presentations. Ultimately, we&apos;re focused on investors getting better service, understanding their investments, and feeling at ease knowing their future is secure.Since launching in 2019,&#xA0;CapIntel&#xA0;has seen rapid adoption and industry recognition, earning top placements in Deloitte&#x2019;s Technology Fast 50 Canada and Fast 500 North America in 2025, ranking us among the&#xA0;fastest-growing technology companies. To support this momentum,&#xA0;we&#x2019;re&#xA0;growing our team&#xA0;rapidly&#x2014;investing&#xA0;in people who drive innovation at scale to expand our impact across the North American wealth management industry.&#xA0; About the RoleAs a Context Engineer at CapIntel, you&apos;ll sit at the intersection of software engineering and applied AI. This is a senior engineering role first, with a specialisation in integrating large language models into production systems. It is hands-on and production-focused rather than research-oriented: you&apos;ll be writing code in our core application roughly 75% of the time, and you&apos;ll own the features you build through to production support.Our platform is built in Node and TypeScript, and you&apos;ll be working in it every day. You&apos;ll help define for how language models are integrated into that platform, and for how our engineering team adopts agentic workflows.You&apos;ll be embedded in a development team working closely with engineers, product managers, and domain experts. As the first practitioner in this discipline at CapIntel, you&apos;ll also help define what context engineering looks like here, setting the patterns and practices the broader team can build on.This role is ideal for a strong backend engineer who has already shipped customer-facing AI features, cares about production reliability over demo-day performance, and is energised by working in a discipline that&apos;s still taking shape.What You&apos;ll Do<ul><li>Build and ship LLM-powered features in our Node/TypeScript application via model APIs (e.g. Anthropic, OpenAI, Bedrock), owning them from design through production support</li><li>Help architect and maintain retrieval-augmented generation (RAG) pipelines, connecting language models to internal knowledge bases, databases, and live data sources, with accountability for retrieval quality as well as retrieval plumbing</li><li>Collaborating with Architecture, manage context window strategy, determining what information enters the model, when, in what format, and at what level of compression to optimise for accuracy, cost, and latency</li><li>Design and implement agentic workflows enabling the platform to handle multi-step, autonomous tasks, and diagnose them when they behave unexpectedly, including wrong tool selection, silent failures, and partial state</li><li>Build guardrail and output validation layers that constrain model behaviour and ensure AI features act within well-defined, compliant boundaries</li><li>Develop reusable agent primitives, prompt templates, and workflow components that other engineers can build on independently</li><li>Build evaluation frameworks to measure context effectiveness, output quality, and agent reliability against real production traffic</li><li>Monitor deployed AI systems for failure patterns and implement mitigation strategies, feeding learnings back into continuous improvement cycles</li><li>Help define the engineering standards for this discipline at CapIntel, covering patterns, review criteria, testing approach, and documentation</li><li>Collaborate with Product, Product Engineering, Implementation, and Data teams to translate business requirements and proofs of concept into production AI systems</li><li>Act as an internal practitioner and resource, helping upskill the broader engineering team on context engineering principles and agentic best practices</li></ul>What We&apos;re Looking For<ul><li>5+ years of professional software engineering experience building and operating production systems</li><li>Deep, current Node/TypeScript experience. This is a core requirement for the role, Python experience is a welcome addition alongside it</li><li>1 to 2+ years building LLM-backed features that external users depend on in production, rather than prototypes or internal tooling</li><li>Working knowledge of RAG architecture, vector databases (e.g. Pinecone, pgvector, AWS OpenSearch), and semantic search, including an understanding of where retrieval quality degrades and why</li><li>Hands-on experience with an orchestration or agent execution framework</li><li>Familiarity with context management techniques: summarisation, chunking, session splitting, and memory strategies</li><li>Experience debugging non-deterministic systems</li><li>Experience introducing a new technical practice or discipline into a team that didn&apos;t have one, and getting other engineers to adopt it</li><li>Experience building or consuming REST APIs and integrating with third-party services</li><li>Comfortable collaborating with cross-functional teams in a fast-paced, high-growth environment, and making decisions with incomplete information as the field evolves</li><li>Ability to communicate technical concepts clearly to both technical and non-technical partners</li></ul>Nice to Have<ul><li>Experience in a regulated industry (financial services, healthcare, insurance) and awareness of what compliance requires of AI outputs</li><li>Experience with the Model Context Protocol (MCP) or similar tool-integration standards</li><li>Familiarity with LLMOps practices: tracing, observability (e.g. LangSmith, Langfuse, Datadog), model versioning, and rollback</li><li>Exposure to multi-agent architectures and orchestration patterns</li><li>Experience using AI-assisted development tools as an established part of your own workflow</li><li>Familiarity with AWS or cloud-based infrastructure and containerised deployments (Docker, Kubernetes)</li></ul>&#xA0; At CapIntel, we design compensation with intention. Each role is assessed against the impact, skills, and experience it requires, and we align our pay to competitive market data so candidates know what to expect from the start.Your final offer will reflect your experience, skillset, and location. The listed range is a guideline, and the range for this role may be modified.Compensation at CapIntel goes beyond base pay. Depending on the role, total rewards may include variable pay, equity, comprehensive benefits, flexible time off, and dedicated opportunities for growth and development.If you&#x2019;d like to understand more about our approach, we&#x2019;re happy to walk through it during the hiring process.For roles based in or eligible to work from Ontario, the expected base salary range is:: $120,000 CAD - $150,000 CAD Not&#xA0;sure&#xA0;you meet every requirement?&#xA0;We care most about mindset:&#xA0;your&#xA0;drive,&#xA0;curiosity&#xA0;and&#xA0;commitment&#xA0;to delivering&#xA0;great work.&#xA0;While experience&#xA0;matters, we&#xA0;know that&#xA0;careers&#xA0;aren&#x2019;t&#xA0;always linear. If this role excites&#xA0;you&#xA0;and you believe you can make an impact&#xA0;with us,&#xA0;we want to hear from you.&#xA0;Why&#xA0;you&apos;ll&#xA0;enjoy working here&#xA0;Learn more about&#xA0;life at&#xA0;CapIntel&#xA0;on our&#xA0;Careers&#xA0;page, including the virtues that inspire how we work and the&#xA0;perks&#xA0;and benefits designed to support your growth and well-being.&#xA0;We&#x2019;re&#xA0;a team built on trust, respect, and collaboration. This powers&#xA0;everything we do&#xA0;and creates a space to challenge and elevate each other&#xA0;as we work towards our shared vision.&#xA0;If this speaks to you,&#xA0;we&#x2019;d&#xA0;be excited to have you with us.&#xA0;

Context Engineer

We are: The Advanced Technology Centers (ATCs) is the engine for reinvention in our clients&#x2019; transformation journey. Powered by more than 255,000* people across 24 countries, ATCs will provide our clients seamless access to industry insights and innovative technology solutions. Stronger together! The Advanced Technology Centers (ATCs) make tremendous impact in solving our clients&#x2019; business problems leveraging Innovation, Intelligence, Industry insights, new IT and new technology skills. Now, with the global environment changing at a faster pace, our clients are facing unprecedented challenges and they need us more than ever before. As a Network, ATCs are positioned to unlock greater opportunities and exponential value for our clients. The value for our clients and our people For our clients, the Network provides the strength of our geographic diversity, greater resilience, and seamless access to the deepest industry knowledge, the latest in Gen AI solutions, and tech expertise from around the world. For our people, it brings an opportunity to shape truly boundaryless career paths in a highly collaborative team of experts where they can learn from each other and solve the world&#x2019;s most complex client challenges. You are: You&#x2019;re an experienced data center engineer who can lead complex builds, migrations, and lifecycle programs across compute, storage, and network domains. You blend deep technical skill with operational rigor, mentor others, and standardize processes. You thrive in high-security environments, drive RCA for major incidents, and design for resilience, observability, and cost. The Work: <li>Lead design and delivery of private cloud footprints (Google Distributed Cloud, Azure Stack, Nutanix, Outposts, Anthos) and virtualization estates. </li><li>Engineer storage platforms (block/file/object) and data protection strategies; validate DR across RTO/RPO targets. </li><li>Own capacity planning, performance baselining, and SLOs; implement monitoring/alerting dashboards. </li><li>Establish secure hardware handling (chain of custody) and site readiness standards; coordinate vendor support and RMAs. </li><li>Automate provisioning and configuration with Terraform/Ansible; integrate with CMDB and GitOps workflows. </li><li>Harden OS and platform configurations per ITSG&#x2011;33; implement logging, MFA, key management, and secrets handling. </li><li>Lead P1 incident command, post-incident reviews, and corrective actions; develop resilience and failover patterns. </li><li>Develop and maintain SOPs, diagrams, and asset inventories; mentor junior engineers and uplift team capability. </li><li>Collaborate with Network, Security, and Cloud teams to land scalable, cost-optimized solutions; support FinOps. </li><li>Plan and coordinate change windows; ensure audit compliance and evidence capture for regulated clients. </li>Ability to work shifts/on-call; comfort working on-site in high-security environments. Travel may be required based on client demand. Accenture promotes a client-centric, flexible work environment. This role will require a minimum of 3 days per week in the office. Preferred location: Ottawa. What You&#x2019;ll Need <li>Minimum 2 years of experience in data center engineering or infrastructure team lead roles. </li><li>Advanced Linux/virtualization expertise and strong troubleshooting across compute/storage/network. </li><li>Automation with Terraform/Ansible and scripting (Python/PowerShell/Bash). </li><li>Proven incident management, DR/BCP execution, and stakeholder communication skills. </li><li>Bachelor&#x2019;s degree or college diploma in a related field. </li><li>Eligibility for Reliability Clearance. </li>Bonus Points If You Have <li>Eligible for Top Secret Security Clearance or currently holds Top Secret Security Clearance status. </li><li>Hybrid Kubernetes operations experience. </li><li>Vendor certifications across cloud/server/storage/virtualization. </li><li>Bilingual (English/French). </li>Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation, based on full-time employment, for roles that may be hired as set forth below. The recruiting efforts for this position are intended to fill a brand new position. The base pay range shown below is intended as a guideline to reflect the majority of offers for this role. It does not represent a maximum limit &#x2014; in some cases, actual compensation may exceed the range where appropriate. Information on benefits is here. Role Location Hourly Salary Range British Columbia/Ontario/New Brunswick $25.41 to $49.45 and

Data Center Specialist

Position Title: Principal Product Applications Engineer Location: Canada Contract Type: Full-Time, Permanent Compensation: CAD $165,000&#x2013;$210,000 + applicable bonuses, incentives &amp; benefits Industry: Semiconductors / AI Infrastructure Experience: 8+ Years Role Overview Our client is seeking a Principal Product Applications Engineer to support next-generation AI infrastructure and high-speed switching technologies. This customer-facing role will serve as a technical expert for Scorpio Smart Fabric Switches, working with hyperscalers, AI system builders, ODMs, and technology partners from initial architecture and evaluation through production deployment. The role combines customer engineering, system integration, post-silicon validation, technical troubleshooting, and product development, with significant influence on future PCIe Gen 6/7 and UALink-based platforms. Key Responsibilities Customer Enablement <ul><li>Lead technical engagements with hyperscalers, ODMs, OEMs, and AI system partners.</li><li>Support customer architecture discussions, system design-in, evaluation, bring-up, and deployment.</li><li>Lead on-site and remote debugging, performance tuning, and system integration.</li><li>Translate customer requirements into actionable feedback for product, silicon, firmware, and engineering teams. </li></ul>Post-Silicon Validation &amp; Integration <ul><li>Influence post-silicon validation strategies for next-generation switching platforms.</li><li>Execute system-level integration and troubleshoot complex hardware and software issues.</li><li>Debug challenges involving PCIe Gen 6/7, UALink, UCIe, signal integrity, firmware, and software stacks.</li><li>Partner with hardware, firmware, and SI/PI teams to identify root causes and deliver production-ready solutions. </li></ul>Technical Leadership <ul><li>Serve as the primary Scorpio applications expert across sales, marketing, product, and engineering functions.</li><li>Mentor junior applications engineers and provide technical guidance across customer projects.</li><li>Represent the organization at customer executive reviews, industry forums, and relevant standards bodies.</li><li>Develop technical collateral, white papers, training materials, and customer-facing documentation.</li><li>Contribute customer and technical insights that help shape product and technology roadmaps. </li></ul>Requirements <ul><li>Bachelor&apos;s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field.</li><li>8+ years of experience in product applications, systems engineering, or post-silicon validation involving high-speed connectivity or networking silicon.</li><li>Strong understanding of physical-layer technologies and high-speed serial interfaces such as PCIe, Ethernet, UALink, or UCIe.</li><li>Hands-on experience with laboratory bring-up, system debugging, and integration using oscilloscopes, BERTs, protocol analyzers, or similar equipment.</li><li>Proven experience working directly with hyperscalers, cloud providers, Tier-1 OEMs, or ODMs.</li><li>Excellent communication and presentation skills with the ability to translate complex technical concepts into clear customer-facing solutions. </li></ul>Preferred Qualifications <ul><li>MS or PhD in Electrical Engineering, Computer Engineering, or a related discipline.</li><li>Experience with PCIe Gen 6/7, UALink, or UCIe and related compliance testing.</li><li>Knowledge of AI/ML rack-scale architectures, GPU fabrics, and accelerator interconnects.</li><li>Python or shell scripting experience for validation, automation, and diagnostics.</li><li>Experience contributing to industry standards organizations such as PCI-SIG, UALink Consortium, or UCIe.</li><li>Technical publication, white-paper, or industry presentation experience. </li></ul>Apply Now:talent@leadingedge.plus

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