Support geospatial platforms, services and engineering practices, contributing to the design, build, testing and maintenance of geospatial solutions at Waka Kotahi.
Compensation
A competitive salary and benefits package
Responsibilities
Apply agreed DataOps observability and automation practices within assigned geospatial engineering tasks
Follow security, privacy and compliance requirements when developing, maintaining or supporting geospatial services
Work collaboratively with team members, vendors and partners to support consistent and sustainable geospatial delivery
Support the preparation of technical documentation, operational procedures and knowledge articles for geospatial solutions
Contribute to continuous improvement by identifying opportunities to simplify processes, reduce manual effort and improve service reliability
Lead the technical design, development and implementation of automations for various technologies that support security operations.
Compensation
The salary range for this position is $58,400 - $97,500.. The posted salary range represents the expected hiring range for PwC locations in major city centres.
Responsibilities
Lead the technical design, development and implementation of automations for various technologies that support security operations.
Draft security automation workflows and implement them in SOAR solutions.
Spearhead the establishment, implementation and adoption of best practices for methodologies.
Review and approve unit and integration testing, ensuring compliance with standards and adherence to design specifications.
Address and resolve technical issues.
Requirements
Bachelor's degree in Computer Science or Computer Engineering
Master's degree in computer science/information security or another relevant field
Designs, develops and deploys the evaluation and trust capabilities of Equinix's GenAI platform. Builds platform features that let teams evaluate their agents at scale: golden datasets, synthetic test data, scoring with LLM-as-judge, and monitoring of agent quality in production. Builds and tests the trust controls that agents run on, including agent identity, access, guardrails and data boundaries. Traces agent failures to their root cause and fixes them in the platform.
Compensation
Canada - Toronto Office TRO : 102,000 - 152,000 CAD / Annual
Responsibilities
Build platform features for evaluation: dataset creation and versioning, golden datasets, synthetic test data and reusable metric templates
Build scoring for agents: code-based checks, LLM-as-judge, tool-call accuracy and grounding checks
Build human-review features that compare judge scores against human reviewers, and recalibrate when agreement is low
Run evaluations at scale: before release, on every change to a prompt, model or tool, and on agents in production
Build evaluation playbooks so agent builders can evaluate their agents without specialist help
Requirements
Bachelor's degree in computer science, engineering, data science, mathematics or a related field, or equivalent experience
Nice to have: Evaluation or observability features at scale
Nice to have: LLM evaluation and observability tools
Nice to have: OpenTelemetry
Nice to have: Red-teaming
Skills
Project Analyst
Lucayan Technology Solutions LLC · Posted Nov 12, 2026
As a Senior Controls Engineer, you will play a vital leadership role within a team of software engineers, GNC specialists, and mechanisms and RF engineers, contributing directly to the pointing and tracking architecture of the TeraWave constellation. You will use your expertise in control and estimation algorithms, real-time embedded software, and modeling and simulation to develop the software that keeps our antennas precisely pointed and locked on target.
Compensation
WA applicants is $197,529.00 - $276,539.55
Responsibilities
Support motor and drive trade studies for the antenna pointing mechanism by defining what the control system needs: torque, speed, position resolution, and bandwidth.
Define the pointing control architecture for the motor and parabolic antenna system, from motor current control through gimbal position control.
Design and tune control loops, feedforward, filtering, and compensation for friction, backlash, and structural modes.
Develop pointing and tracking algorithms, including program track, RF closed-loop tracking, and fast slews between gateways.
Build models and simulations of the motor, gimbal, and antenna dynamics in MATLAB/Simulink, and own the pointing error budget.
Provide technical leadership in evaluating the performance and impact of advanced technologies, including precision agriculture, automation, autonomous systems, and digital products, while remaining hands-on in developing machine learning models, analytical solutions, and data pipelines.
Compensation
Competitive annual base salary ranging from $123,804 to $185,700, depending on qualifications and experience.
Responsibilities
Lead a sub-team of data scientists within the Technology Intelligence Proving Ground, establishing priorities, allocating responsibilities, and providing day-to-day technical guidance.
Define the technical strategy for evaluating the performance of machines, precision technologies, automation and autonomous capabilities, and digital products.
Design and conduct structured technology evaluations and benchmarks using repeatable methodologies, clear success criteria, and measurable outcomes.
Drive projects from initial concepts to tangible business results by framing problems, exploring data, developing prototypes, and delivering scalable solutions.
Independently develop machine learning models, analytical solutions, and data pipelines to assess real-world technology performance.
Requirements
Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, Operations Research, or a related technical discipline
Advanced degree in statistics, mathematics, engineering, computer science, a quantitative discipline, or applied AI/ML (preferred)
A hands-on Applied ML Engineer to bridge the gap between machine learning research and production-ready engineering systems, taking ownership of the full deployment lifecycle from data pipelines to model serving and monitoring.
Locations (2)
United States, United States
Canada
Compensation
Competitive compensation: Attractive total compensation package with significant performance-based bonus potential.
Responsibilities
Transform research-grade machine learning code and experimental prototypes into production-ready, maintainable, and scalable software systems
Take ownership of end-to-end ML deployment pipelines, including data ingestion, feature engineering, model integration, inference, serving, monitoring, and reliability
Work closely with machine learning researchers and engineering teams to translate research objectives and technical concepts into robust, observable production solutions
Introduce and strengthen structured software development practices, including task management, Git workflows, code reviews, testing, and continuous integration and deployment (CI/CD)
Hands-on Full Stack Engineer to support the development and continuous improvement of marketing websites, digital experiences, and campaign landing pages, working across frontend and backend integrations.
Compensation
Competitive monthly compensation paid in USD.
Responsibilities
Develop, maintain, and enhance marketing websites, campaign landing pages, interactive tools, and customer-facing web applications.
Build high-quality, scalable, and well-tested code using AI-assisted development practices.
Take ownership of assigned features from implementation and testing through deployment and production monitoring.
Develop and maintain integrations between Webflow, Marketo, Salesforce, and internal APIs.
Implement and maintain analytics and tracking solutions using Google Analytics 4 (GA4), Google Tag Manager (GTM), RedTrack, and Pendo.
Lead the technical design of the Data Management System (DMS) for the Next-Generation Ground-Based Solar Observing Network (ngGONG), owning the DMS architecture, requirements, interfaces, and technical designs.
Compensation
Annual salary range: $130,000 to $176,000.
Responsibilities
Create and maintain a coherent DMS architecture, subsystem designs, measurable requirements, subsystem specifications, and verification plans.
Define Interface Control Documents (ICDs), APIs, data contracts, and metadata and provenance models.
Design scientific processing and calibration workflows based on science stakeholder requirements.
Design ingestion, processing, archival, discovery, and distribution services.
Develop end-to-end latency budgets, capacity models, and workload priorities.
Requirements
Bachelor’s degree in computer science, software engineering, engineering, physics, astronomy, or a related field, or equivalent practical experience
Identify architectural weaknesses, technical debt, and engineering quality issues, recommending and implementing solutions that improve maintainability, scalability, and system performance
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