Pipeline Engineer IV Job at Randstad (Edmonton)

DevOps Engineer IV

Planet DDS is a leading provider of a platform of cloud-based solutions that emp...

Location

United States , Irvine

Salary:

142000.00 - 177000.00 USD / Year

Planet DDS

Expiration Date

Until further notice

Requirements

8-11 years’ experience providing Infrastructure as Code, scripted solutions for deploying software, application security, containerization, creation of CI/CD pipelines that ensure quality software delivery
Strong knowledge of Azure (AWS, GCP experience a plus)
At least 2 years’ experience in each of: Microsoft Azure, Azure DevOps, Microsoft Windows, Linux
Strong background in scripting (Terraform, Powershell, Python, Databases, etc.)
Background in high-quality software development and delivery
Ability to analyze and provide timely solutions to increase efficiency, reduce bottlenecks, contain costs, improve quality, increase security and improve maintainability across development processes and CI/CD pipelines
Bachelor’s Degree in a relevant major (Computer Science, Computer Engineering, Information Systems, or similar) or equivalent years of experience

Job Responsibility

Build out the IaC platform using Terraform
Modernize the deployment pipeline
Lead and guide the team in identifying and implementing new technologies
Build and maintain highly available systems
Participate in on-call rotations supporting production applications
Establish and maintain best practices for cloud security, compliance, and cost optimization
Participate in code and design reviews to ensure the quality and maintainability of code

Fulltime

Cloud Engineer IV

The Cloud Engineer is responsible for designing, implementing and documenting hi...

Location

United States , Washington, DC

Salary:

140000.00 - 155000.00 USD / Year

Chickasaw Nation Industries, Inc (CNI)

Expiration Date

Until further notice

Requirements

Ability to obtain, maintain and access classified information at the Top Secret level
Bachelor's degree and a minimum of 8 years relevant experience, or equivalent combination of 15 years of education/experience
Certification at the IAT II is required (can consist of: CCNA-Security, CYSA+, GICSP, GSEC, Security+ CE, CND, SSCP)
Advanced understanding of distributed systems via on prem, cloud native or hybrid computing
Familiarity with systems management concepts, processes and standards, capacity and performance management and tuning, and storage and network management
Good understanding of infrastructure: AD, DNS, firewalls, load balancers, routing, switching, etc.
Experience in building applications using languages
Experience in database systems
Experience in working with microservices and containerization, including virtualization, orchestration, cluster management, and container storage
Experience with scripting languages

Job Responsibility

Evaluates provided documentation and make recommendations to the government on acceptability of technical artifacts
Tracks and reports commercial parity exceptions on a monthly basis to support the customer
Evaluates change/release notifications from CSPs and advise the government on the operational impact of those changes
Provides direction on designing cloud infrastructure capable of supporting applications in the cloud with an emphasis on scalability, automation, performance and availability
Advises user community on CSO adoption based on specific DoD use cases
Interacts with CSPs on a weekly basis to discuss cloud adoption pipeline
Engages with CSPs on routine questions regarding DoD configuration, policy, and controls
Facilitates and attends multi-cloud technical exchange meetings
Develops and tracks DoD CSO demand tracking list for IC working groups
Works with Cyber PMO to ensure engineered solutions meet cyber compliance

What we offer

Medical
Dental
Vision
Company Life Insurance
Short-Term and Long-Term Disability Insurance
401(K) Immediate Vesting
Professional Development Assistance
Legal Aid Assistance Program
Family Planning / Fertility Assistance
Personal Time Off

Fulltime

Senior Subsea Pipeline Marine Inspector

Airswift are a Global Manpower Provider specializing in the Energy, Infrastructu...

Location

Qatar , Doha

Salary:

Not provided

Airswift Sweden

Expiration Date

Until further notice

Requirements

Bachelor’s degree in engineering discipline (Mechanical) with demonstrated knowledge and experience
CSWIP 3.4UC Underwater Inspection Controller (Ref. CSWIP Document No.CSWIP-DIV-7-95 – Part 2)
Current / valid BOSIET, TBOSIET, FOET or TFOET certificate (Ref. OPITO requirements), as applicable, in conjunction with an offshore medical certificate
Experience in conducting QMS audits and QA verification programs for various project phases (i.e., Engineering, Procurement, Construction and Installation (specifically, the Repair / Installation of pipelines and their associated infrastructure) would be preferable
At least six (6) years of working experience in Quality Assurance and Control (QA/QC) within the Oil and Gas industry (i.e., onshore and offshore)
Should have a proven history as a lead 3.4UC underwater inspection controller within demanding subsea/offshore projects
Subsea pipeline project experience is highly desired, with emphasis on pipeline operations, integrity assurance/non-destructive testing (NDT) and inspection, maintenance and/or design and construction
Familiarity with marine vessel operations and the organisational responsibility of the (i) Offshore Construction/Installation Manger, (ii) Vessel Master, (iii) Diving and ROV Supervisors, (iv) Client Representative(s), (v) Certifying Authorities, etc.
Knowledge and working experience of underwater inspection (UWI) in the form of visual inspection and non-destructive testing (NDT) conducted by means of the intervention of diver(s) and/or remotely operated vehicle (ROV) or crewed submersible (i.e., either as a practitioner and/or as the result of training or certification conforming to the requirements of CSWIP Document No. CSWIP-DIV-7-95 – Part 1 and 2)
With respect to UWI and other related activities, shall be familiar with (i) relevant subsea applied inspection systems, (ii) recording and processing of data, (iii) quality assurance (QA), (iv) inspection planning and briefing, (v) the capabilities and limitations of divers/ROV’s and submersibles, and (vi) the care and deployment of equipment

Job Responsibility

Ensure compliance with QatarEnergy LNG systems and processes, including the Project Management System. Engage contractors and applicable third-party organisations with a professional approach and maintain a good working level relationship
Have a knowledge of the front end engineering design (FEED) deliverables and engineering study reports to support the implementation of the Project Quality Plan (PQP) and associated Procedures
Review the project Scope of work, to determine the nature, extent, and frequency of quality verification activities
Monitor, evaluate and report the inspection and testing status of the pipeline repair activities
Maintain interface relationships with Subsea Pipeline Repair Installation, and Inspection Contractors (including nominated specialist third-party Contractor organisation(s)), and the applicable regulatory focal points
especially, those functioning offshore
Review Contractor’s and Vendor’s quality reports / deliverables, in line with the project quality requirements
In conjunction with the QA/QC delegation operating offshore, verify that the repair activities are in accordance with approved documented information (i.e. procedures, specifications, detailed methodologies, etc)
Support the underwater inspection (UWI) activities during the offshore / subsea repairs, by means of the development of job records, preparation of daily reports, review of diver commentary and transfer into the written form, interpretate ROV camera footage and transfer into the written form and be able to produce an oral commentary of the daily activities, as and when required
Monitor the technical inspections, verification, certification and acceptance by Specialist Third Party Inspection (TPI) Contractor, as applicable, and develop the final documentation for each offshore campaign (i.e., PL-49, PL-75, PL-610 and PL-811)

Fulltime

AI Simulation Engineer IV

As an AI Simulation Engineer, you will fuse simulation and AI to accelerate trai...

Location

United States , Lehi

Salary:

Not provided

Autonomous Solutions

Expiration Date

Until further notice

Requirements

Experience in AI, robotics, simulation engineering, or machine learning model development
Strong understanding of simulation environments, synthetic data workflows, scenario generation, or virtual testing systems
Experience integrating AI models into simulation frameworks for training, validation, or performance testing
Proficiency in Python, C++, or similar languages used for simulation tools and AI development
Experience working with robotics concepts such as perception, planning, control, or vehicle dynamics
Ability to analyze real world data and convert it into simulated scenarios that expose edge cases and system weaknesses
Experience with cloud simulation infrastructure, distributed compute, or GPU accelerated workloads
Strong problem solving and analytical abilities, with the skill to bridge real world system behavior and simulated environments
Ability to collaborate effectively with cross functional engineering teams and communicate technical concepts clearly

Job Responsibility

Fuse simulation and AI to accelerate training, validation, and edge case discovery for safe autonomous deployment
Build closed loop systems where on-field data improves simulation, and simulation sharpens real world performance
Develop simulation driven workflows that generate diverse scenarios, edge cases, and long tail events to improve AI robustness
Integrate perception, planning, control, and vehicle dynamics models into high fidelity simulation environments
Create automated validation pipelines that use simulation to stress test autonomy performance across environments, weather, terrain, and failure modes
Use generative models or data augmentation techniques to expand scenario coverage and reduce reliance on costly on-field testing
Enhance simulation fidelity by incorporating real world telemetry, sensor data, logs, and environmental conditions
Develop tools that measure model performance, regression trends, safety margins, and reliability metrics within simulated environments
Collaborate with autonomy, robotics, data, and test teams to ensure simulation tools and AI workflows reflect real world behavior and operational constraints
Optimize simulation infrastructure for speed, scalability, and throughput across local, cloud, and distributed compute

What we offer

Full Benefits - 90% Medical, ESOP, 401K, Generous PTO

Fulltime

AI Infrastructure Engineer IV

At ASI, we are revolutionizing industries with state-of-the-art autonomous robot...

Location

United States , Lehi

Salary:

Not provided

Autonomous Solutions

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Computer Engineering, or a related technical field
10+ years of experience in cloud infrastructure, DevOps, or platform engineering with an emphasis on AI/ML systems
Strong understanding of modern AI infrastructure components, including distributed computing, GPU-accelerated systems, and large-scale storage
Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud
Proficiency with Kubernetes, Docker, Terraform, or similar containerization and orchestration tools
Strong programming skills in Python and/or C++, with experience supporting machine learning frameworks (TensorFlow, PyTorch, etc.)
Experience implementing CI/CD pipelines, MLOps practices, and automation tooling

Job Responsibility

Design, build, and maintain high-performance computing infrastructure including CPUs, GPUs, storage, and networking to support AI and ML workloads
Deploy and manage AI systems within cloud environments (AWS, Azure, GCP), ensuring scalability, cost-efficiency, and high availability
Collaborate with data scientists, ML engineers, and software teams to support AI model development, training, and deployment workflows
Implement automation, CI/CD, DevOps, and MLOps practices to create efficient, repeatable, and reliable AI infrastructure processes
Optimize compute and storage systems to achieve maximum performance and throughput for AI/ML pipelines
Monitor system health and troubleshoot performance bottlenecks, infrastructure issues, and deployment challenges

What we offer

Full Benefits - 90% Medical, ESOP, 401K, Generous PTO

Fulltime

AI Infrastructure Engineer IV

At ASI, we are revolutionizing industries with state-of-the-art autonomous robot...

Location

United States , Mendon

Salary:

Not provided

Autonomous Solutions

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Computer Engineering, or a related technical field
10+ years of experience in cloud infrastructure, DevOps, or platform engineering with an emphasis on AI/ML systems
Strong understanding of modern AI infrastructure components, including distributed computing, GPU-accelerated systems, and large-scale storage
Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud
Proficiency with Kubernetes, Docker, Terraform, or similar containerization and orchestration tools
Strong programming skills in Python and/or C++, with experience supporting machine learning frameworks (TensorFlow, PyTorch, etc.)
Experience implementing CI/CD pipelines, MLOps practices, and automation tooling

Job Responsibility

Design, build, and maintain high-performance computing infrastructure including CPUs, GPUs, storage, and networking to support AI and ML workloads
Deploy and manage AI systems within cloud environments (AWS, Azure, GCP), ensuring scalability, cost-efficiency, and high availability
Collaborate with data scientists, ML engineers, and software teams to support AI model development, training, and deployment workflows
Implement automation, CI/CD, DevOps, and MLOps practices to create efficient, repeatable, and reliable AI infrastructure processes
Optimize compute and storage systems to achieve maximum performance and throughput for AI/ML pipelines
Monitor system health and troubleshoot performance bottlenecks, infrastructure issues, and deployment challenges

What we offer

Full Benefits - 90% Medical, ESOP, 401K, Generous PTO

Fulltime

Perception Engineer IV - AI Applications

At ASI, we are revolutionizing industries with state-of-the-art autonomous robot...

Location

United States , Mendon

Salary:

Not provided

Autonomous Solutions

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Robotics, Electrical Engineering, or a related technical field
10+ years of experience as a Perception Engineer, or similar working experience
Experience developing computer vision or perception models for detection, classification, segmentation, or tracking
Proficiency in programming languages such as Python, C, ROS, and C++ with an emphasis on C++ 11 or newer
Strong understanding of developing multithreaded embedded software applications in Linux
Hands on experience with frameworks such as TensorFlow or PyTorch and perception specific libraries or toolsets
Familiarity with camera technologies, LiDAR, radar, and sensor fusion techniques
Strong analytical and problem-solving abilities with the ability to design solutions for complex field conditions
Thorough understanding of mathematics, including linear algebra, especially solving least-squares equations and performing coordinate system transformations

Job Responsibility

Build and maintain perception models for object detection, semantic classification, instance segmentation, and tracking across diverse environments
Optimize perception pipelines for accuracy, speed, robustness, and reliability under real world field conditions including varying lighting, terrain, and sensor noise
Embed perception models into production systems and platform level services and ensure compatibility with planning, control, and safety modules
Convert perception models into scalable services, APIs, or embedded libraries tailored for real time robotic workloads
Tune models and pipelines to meet real-time performance requirements including low latency inference and efficient resource usage
Collaborate closely with robotics engineers, sensor experts, and software developers to align perception outputs with downstream system needs
Integrate models with sensor suites including cameras, LiDAR, radar, depth sensors, and multimodal fusion pipelines
Test, validate, and evaluate perception systems using simulation, recorded datasets, and field deployment to ensure reliability and predictable behavior
Monitor deployed perception systems and implement improvements or retraining strategies to enhance performance over time

What we offer

Full Benefits - 90% Medical, ESOP, 401K, Generous PTO

Fulltime

Perception Engineer IV - AI Applications

As a Perception Engineer IV, you will focus on developing, optimizing, and deplo...

Location

United States , Lehi

Salary:

Not provided

Autonomous Solutions

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Robotics, Electrical Engineering, or a related technical field
10+ years of experience as a Perception Engineer, or similar working experience
Experience developing computer vision or perception models for detection, classification, segmentation, or tracking
Proficiency in programming languages such as Python, C, ROS, and C++ with an emphasis on C++ 11 or newer
Strong understanding of developing multithreaded embedded software applications in Linux
Hands on experience with frameworks such as TensorFlow or PyTorch and perception specific libraries or toolsets
Familiarity with camera technologies, LiDAR, radar, and sensor fusion techniques
Strong analytical and problem-solving abilities with the ability to design solutions for complex field conditions
Thorough understanding of mathematics, including linear algebra, especially solving least-squares equations and performing coordinate system transformations

Job Responsibility

Build and maintain perception models for object detection, semantic classification, instance segmentation, and tracking across diverse environments
Optimize perception pipelines for accuracy, speed, robustness, and reliability under real world field conditions including varying lighting, terrain, and sensor noise
Embed perception models into production systems and platform level services and ensure compatibility with planning, control, and safety modules
Convert perception models into scalable services, APIs, or embedded libraries tailored for real time robotic workloads
Tune models and pipelines to meet real-time performance requirements including low latency inference and efficient resource usage
Collaborate closely with robotics engineers, sensor experts, and software developers to align perception outputs with downstream system needs
Integrate models with sensor suites including cameras, LiDAR, radar, depth sensors, and multimodal fusion pipelines
Test, validate, and evaluate perception systems using simulation, recorded datasets, and field deployment to ensure reliability and predictable behavior
Monitor deployed perception systems and implement improvements or retraining strategies to enhance performance over time

What we offer

Full Benefits - 90% Medical, ESOP, 401K, Generous PTO

Fulltime

Pipeline Engineer IV

Randstad

Location:
Canada , Edmonton

Category:
-

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
February 25, 2026

Expiration:
April 04, 2026

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Pipeline Engineer IV

Randstad

Location:Canada , Edmonton

Category:-

Contract Type:Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:February 25, 2026

Expiration:April 04, 2026

Looking for more opportunities? Search for other job offers that match your skills and interests.

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Perception Engineer IV - AI Applications

Location:
Canada , Edmonton

Category:
-

Contract Type:
Not provided

Job Posted:
February 25, 2026

Expiration:
April 04, 2026