Acronis

<p>Acronis is revolutionizing cyber protection—providing natively integrated, all-in-one solutions that monitor, control, and protect the data that businesses and lives depend on. We are looking for a Compensation Consultant to join our mission to create a #CyberFit future and protect all data, applications and systems across any environment. </p>
<p>We are seeking an experienced and strategic Compensation Consultant to join our Human Resources Center of Excellence team. The Compensation Consultant will be primarily responsible for designing and implementing competitive pay ranges across the globe for all departments within the Company. This role requires a deep understanding of global compensation practices, regulatory requirements, and market trends to ensure our compensation programs support our business objectives and attract, retain, and motivate top talent. This is a 12-month contract position.</p>
<p><strong>WHAT YOU'LL DO</strong></p>
<ul>
<li>Develop and maintain competitive pay ranges for all roles across the organization, ensuring alignment with market data and internal equity</li>
<li>Conduct comprehensive market analysis to benchmark salaries and ensure our compensation practices are competitive and aligned with industry standards</li>
<li>Ensure compliance with global, national, and local compensation regulations and labor laws</li>
<li>Lead job evaluation processes to determine appropriate pay levels for new and existing positions</li>
<li>Maintain accurate compensation data and documentation, and provide reporting and analysis when required</li>
<li>Stay updated with industry trends and best practices in compensation and rewards and proactively recommend improvements to our compensation programs.</li>
</ul>
<p><strong>WHAT YOU BRING</strong></p>
<ul>
<li>5 years of compensation experience</li>
<li>Experience evaluating compensation programs and developing recommendations to meet business objectives</li>
<li>Knowledge of compensation best practices</li>
<li>Fluent English both written and verbal</li>
<li>Strong internal customer focus with desire to learn all aspects of the business</li>
<li>High level of discipline, attention to detail, and ability to meet deadlines in a fast-paced environment while still maintaining a high-level of accuracy </li>
<li>Strong written and verbal communication and interpersonal skills</li>
<li>Outstanding organizational, problem solving, and multi-tasking skills</li>
<li>Collaborative, team-player with a commitment to succeed and never give up attitude</li>
<li>Self-motivated, proactive, and able to work with minimal supervision</li>
</ul>
<p>*Please submit your resume and application in English</p>
<p><strong>WHO WE ARE</strong> </p>
<p>Acronis is a global cyber protection company that provides natively integrated cybersecurity, data protection, and endpoint management for managed service providers (MSPs), small and medium businesses (SMBs), enterprise IT departments and home users. Our all-in-one solutions are highly efficient and designed to identify, prevent, detect, respond, remediate, and recover from modern cyberthreats with minimal downtime, ensuring data integrity and business continuity. We offer the most comprehensive security solution on the market for MSPs with our unique ability to meet the needs of diverse and distributed IT environments. </p>
<p>A Swiss company founded in Singapore in 2003, Acronis offers over twenty years of innovation with 15 offices worldwide and more than 1800 employees in 50+ countries. Acronis Cyber Protect is available in 26 languages in 150 countries and is used by over 20,000 service providers to protect over 750,000 businesses. </p>
<p>Our corporate culture is focused on making a positive impact on the lives of each employee and the communities we serve. Mutual trust, respect and belief that we can contribute to the world everyday are the cornerstones of our team. Each member of our “A-Team” plays an instrumental role in driving the success of our innovative and expanding business. We seek individuals who excel in dynamic, global environments and have a never give up attitude, contributing to our collective growth and impact. </p>
<p><em>Acronis is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, marital status, national origin, physical or mental disability, medical condition, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, gender identity or expression, or any other characteristic protected by applicable laws, regulations and ordinances.</em> </p>
<p>#LI-CW1 </p>

Canada

Compensation Consultant (12-Month Contract)

Rackspace

<b>About the Role:</b>We are seeking a highly skilled and experienced Senior Big Data Engineer to join our dynamic team. The ideal candidate will have a strong background in developing batch processing systems, with extensive experience in Oozie, the Apache Hadoop ecosystem, Airflow, and a solid understanding of public cloud technologies, especially GCP.  This role involves working in a remote environment, requiring excellent communication skills and the ability to solve complex problems independently and creatively.<b>Work Location: </b>Canada-Remote<h3>Key Responsibilities: </h3><ul><ul><li>Develop scalable and robust code for batch processing systems. This includes working with technologies like Hadoop, Oozie, Pig, Hive, Map Reduce, Spark (Java), Python, Hbase.</li><li>Develop, Manage and optimize data workflows using Oozie and Airflow within the Apache Hadoop ecosystem.</li><li>Leverage GCP for scalable big data processing and storage solutions.</li><li>Implementing automation/DevOps best practices for CI/CD, IaC, etc.</li></ul></ul><h3>Qualifications: </h3><ul><ul><li>Bachelors's degree in Computer Science, software engineering or related field of study.</li><li>Experience with GCP managed services and understanding of cloud-based batch processing systems are critical.</li><li>Proficiency in Oozie, Airflow, Map Reduce, Java.</li><li>Strong programming skills with Java (specifically Spark), Python, Pig, and SQL.</li><li>Expertise in public cloud services, particularly in GCP.</li><li>Proficiency in the Apache Hadoop ecosystem with Oozie, Pig, Hive, Map Reduce.</li><li>Familiarity with BigTable and Redis.</li><li>Experienced in Infrastructure and Applied DevOps principles in daily work. Utilize tools for continuous integration and continuous deployment (CI/CD), and Infrastructure as Code (IaC) like Terraform to automate and improve development and release processes.</li><li>Ability to tackle complex challenges and devise effective solutions. Use critical thinking to approach problems from various angles and propose innovative solutions.</li><li>Worked effectively in a remote setting, maintaining strong written and verbal communication skills. Collaborate with team members and stakeholders, ensuring clear understanding of technical requirements and project goals.</li><li>Proven experience in engineering batch processing systems at scale.</li><li>Hands-on experience in public cloud platforms, particularly GCP. Additional experience with other cloud technologies is advantageous.</li></ul></ul><h3>Must Have:</h3><ul><ul><li>Google Associate Cloud Engineer Certification or other Google Cloud Professional level certification.</li><li>5+ years of experience in customer-facing software/technology or consulting.</li><li>5+ years of experience with “on-premises to cloud” migrations or IT transformations.</li><li>5+ years of experience building, and operating solutions built on GCP (ideally) or AWS/Azure.</li></ul></ul><b>About Rackspace Technology</b>We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.  <b>More on Rackspace Technology</b>Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.

Calgary

Sr Big Data Engineer Airflow and Oozie (GCP)

<b>About the Role:</b>We are seeking a highly skilled and experienced Senior Big Data Engineer to join our dynamic team. The ideal candidate will have a strong background in developing batch processing systems, with extensive experience in the Apache Hadoop ecosystem (Map Reduce, Oozie, Hive, Pig, HBase, Storm).  This role involves working in Java, and working on Machine Learning pipelines for data collection or batch inference.   This is a remote position, requiring excellent communication skills and the ability to solve complex problems independently and creatively.<b>Work Location: </b>US-Remote<h3>What you will be doing:</h3><ul><ul><li>Develop scalable and robust code for large scale batch processing systems using Hadoop, Oozie, Pig, Hive, Map Reduce, Spark (Java), Python, Hbase</li><li>Develop, manage, and maintain batch pipelines supporting Machine Learning workloads</li><li>Leverage GCP for scalable big data processing and storage solutions</li><li>Implementing automation/DevOps best practices for CI/CD, IaC, etc.</li></ul></ul><h3>Requirements:</h3><ul><ul><li>Proficiency in in the Hadoop ecosystem with Map Reduce, Oozie, Hive, Pig, HBase, Storm</li><li>Strong programming skills with Java, Python, and Spark</li><li>Knowledge in public cloud services, particularly in GCP.</li><li>Experienced in Infrastructure and Applied DevOps principles in daily work. Utilize tools for continuous integration and continuous deployment (CI/CD), and Infrastructure as Code (IaC) like Terraform to automate and improve development and release processes.</li><li>Ability to tackle complex challenges and devise effective solutions. Use critical thinking to approach problems from various angles and propose innovative solutions.</li><li>Worked effectively in a remote setting, maintaining strong written and verbal communication skills. Collaborate with team members and stakeholders, ensuring clear understanding of technical requirements and project goals.</li><li>Proven experience in engineering batch processing systems at scale.</li><li>Hands-on experience in public cloud platforms, particularly GCP. Additional experience with other cloud technologies is advantageous.</li></ul></ul><h3>Must Have:</h3><ul><ul><li>Experience with batch pipelines supporting Machine Learning workloads</li><li>Strong experience in programming language such as Java</li><li>Strong experience in the Apache Hadoop ecosystem</li><li>10+ years of experience in customer-facing software/technology or consulting</li><li>5+ years of experience with “on-premises to cloud” migrations or IT transformations</li><li>Technical degree: Computer Science, Software Engineering or related</li></ul></ul><h3>Good to Have:</h3><ul><ul><li>Familiarity with Terraform</li><li>Familiarity with Python</li><li>5+ years of experience building, and operating solutions built on GCP </li></ul></ul>#LI-VM1#Rackspace#LI-Rackspace#LI-USA#LI-Canada#LI-Remote<b>About Rackspace Technology</b>We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.  <b>More on Rackspace Technology</b>Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.

Toronto

Senior Big Data Hadoop ML Engineer (GCP) - Canada

<b>Job Summary:</b>  Recently we entered in a partnership with one of our preferred to clients for a large-scale migration into the GCP Cloud.  This team’s code receives and processes millions of requests per second in a large-scale distributed system performing content aggregation, indexing, and relevance ranking. You will be working on coding, testing, and debugging this system running in a k8s environment, where there is zero downtime worldwide. <b>Work Location:  </b>Remote Canada<h3>Key Responsibilities</h3><ul><ul><li>Develop scalable and innovative robust Java code for content aggregation as well as for information indexing, retrieval, processing, and ranking. </li><li>Build, enhance, optimize, and deploy tools, workflows, systems to process textual data for extraction of relevant information.</li><li>Collaborate with team members and stakeholders, ensuring clear understanding of technical requirements and project goals. </li><li>Write detailed design documents, develop comprehensive automated tests, and coordinate automated deployments.</li></ul></ul><h3>Qualifications</h3><ul><ul><li>Bachelor’s degree in computer science or related field of study.  Master’s degree is preferred. </li><li>Prefer - Google Associate Cloud Engineer Certification or other Google Cloud Professional level certification.</li><li>Minimum of 8+ years developing applications in core Java.</li><li>In-depth knowledge of algorithms, data structures, and systems </li><li>E2E software development lifecycle experience, including building and maintaining production grade software.</li><li>Excellent verbal and writing communication skills with the English language. </li><li>Operability experience (logging, monitoring, alerting, debugging). </li><li>Prefer - Experience with Cassandra or Spanner </li><li>Prefer - Containerization knowledge (Kubernetes, Docker) experience. </li><li>Prefer - Experience with DevOps and infrastructure as code (terraform, CI/CD, build tools – maven/gradle).</li><b>Discover your inner Racker: </b><a href="https://rackspace.jobs/culture/" rel="noopener noreferrer nofollow ugc" target="_blank"><b>Racker Life</b></a></ul></ul><b>About Rackspace Technology</b>We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.  <b>More on Rackspace Technology</b>Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.

Principal Java DevOps Engineer

<b>Role Overview:</b>We are seeking a dedicated Observability Engineer with specialized experience in OpenTelemetry frameworks and google cloud This role is ideal for someone who excels in monitoring and observability within Google Cloud Platform environments and has a strong background in implementing OpenTelemetry solutions. The candidate should be adept at working remotely, showcasing exceptional communication abilities, and possess the skills to innovatively and independently address intricate challenges.<h3>Key Responsibilities:</h3><ul><ul><li>Implement and manage observability and monitoring solutions on the GCP, leveraging OpenTelemetry frameworks.</li><li>Build monitoring solutions to ensure high availability and performance of applications and services in the cloud.</li><li>Collaborate with development teams to integrate observability tools and practices into the development lifecycle.</li><li>Conduct detailed analysis and troubleshooting of complex system issues using observability tools.</li><li>Develop custom instrumentation, metrics, and logs to enhance monitoring capabilities.</li><li>Stay updated with the latest developments in GCP observability and OpenTelemetry.</li></ul></ul><h3>Essential Qualifications:</h3><ul><ul><li>Proficient in implementing and managing observability tools on GCP, with a focus on OpenTelemetry frameworks.</li><li>Terraform Experience</li><li>Kubernetes  and GKE experience</li><li>Solid understanding of cloud-based architectures, particularly within the Google Cloud Platform.</li><li>Experience in scripting and automation for integrating observability tools in cloud environments.</li><li>Ability to work independently in a remote setting, with strong written and verbal communication skills.</li><li>Familiarity with CI/CD pipelines and DevOps practices in a cloud context.</li><li>Hands-on experience in troubleshooting and resolving complex technical issues using monitoring and observability tools.</li><li>Proven track record of enhancing system performance and reliability through effective observability.</li></ul></ul><h3>Mandatory Requirements:</h3><ul><ul><li>Minimum 5 years of experience in GCP , observability or a related field.</li><li>Google Associate Cloud Engineer Certification or other Google Cloud Professional level certification</li><li>Demonstrated experience in implementing and managing OpenTelemetry solutions.</li><li>Experience in cloud-based monitoring and troubleshooting.</li><li>Technical degree in Computer Science, Information Technology, or a related field.</li></ul></ul>#LI-VM1#LI-Canada#LI-Rackspace#Rackspace<b>About Rackspace Technology</b>We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.  <b>More on Rackspace Technology</b>Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.

Observability Engineer with OpenTelemetry Expertise (GCP) - Canada

About the Role:We are looking for a seasoned Senior ML OPS Engineer to architect, build, and optimize ML inference platform. The role demands an individual with significant expertise in Machine Learning engineering and infrastructure, with an emphasis on building Machine Learning inference systems. Proven experience in building and scaling ML inference platforms in a production environment is crucial. This remote position calls for exceptional communication skills and a knack for independently tackling complex challenges with innovative solutions.<h3>What you will be doing:</h3><ul><ul><li>Architect and optimize our existing data infrastructure to support cutting-edge machine learning and deep learning models.</li><li>Collaborate closely with cross-functional teams to translate business objectives into robust engineering solutions.</li><li>Own the end-to-end development and operation of high-performance, cost-effective inference systems for a diverse range of models, including state-of-the-art LLMs.</li><li>Provide technical leadership and mentorship to foster a high-performing engineering team.</li></ul></ul><h3>Requirements:</h3><ul><ul><li>Proven track record in designing and implementing cost-effective and scalable ML inference systems. </li><li>Hands-on experience with leading deep learning frameworks such as TensorFlow, Keras, or Spark MLlib. </li><li>Solid foundation in machine learning algorithms, natural language processing, and statistical modeling. </li><li>Strong grasp of fundamental computer science concepts including algorithms, distributed systems, data structures, and database management. </li><li>Expert-level proficiency in at least one programming language such as Java, Python, or C++.</li><li>Ability to tackle complex challenges and devise effective solutions. Use critical thinking to approach problems from various angles and propose innovative solutions.</li><li>Worked effectively in a remote setting, maintaining strong written and verbal communication skills. Collaborate with team members and stakeholders, ensuring clear understanding of technical requirements and project goals.</li><li>Proven experience in Apache Hadoop ecosystem (Oozie, Pig, Hive, Map Reduce).</li><li>Expertise in public cloud services, particularly in GCP and Vertex AI.</li></ul></ul><h3>Must have:</h3><ul><ul><li>Proven expertise in applying model optimization techniques (distillation, quantization, hardware acceleration) to production environments.</li><li>In-depth understanding of LLM architectures, parameter scaling, and deployment trade-offs.</li><li>Technical degree: Bachelor's degree in Computer Science with a minimum of 8 years of relevant industry experience, or </li><li>A Master's degree in Computer Science with at least 6 years of relevant industry experience. </li><li>A specialization in Machine Learning is preferred. </li></ul></ul>#LI-VM1#Rackspace#LI-Rackspace#LI-USA#LI-Remote<b>About Rackspace Technology</b>We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.  <b>More on Rackspace Technology</b>Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.

Senior MLOPs Engineer (Canada)

About the Role:We are looking for a seasoned Principal ML OPS Engineer to architect, build, and optimize ML inference platform. The role demands an individual with significant expertise in Machine Learning engineering and infrastructure, with an emphasis on building Machine Learning inference systems. Proven experience in building and scaling ML inference platforms in a production environment is crucial. This remote position calls for exceptional communication skills and a knack for independently tackling complex challenges with innovative solutions.<h3>What you will be doing:</h3><ul><ul><li>Architect and optimize our existing data infrastructure to support cutting-edge machine learning and deep learning models.</li><li>Collaborate closely with cross-functional teams to translate business objectives into robust engineering solutions.</li><li>Own the end-to-end development and operation of high-performance, cost-effective inference systems for a diverse range of models, including state-of-the-art LLMs.</li><li>Provide technical leadership and mentorship to foster a high-performing engineering team.</li></ul></ul><h3>Requirements:</h3><ul><ul><li>Proven track record in designing and implementing cost-effective and scalable ML inference systems. </li><li>Hands-on experience with leading deep learning frameworks such as TensorFlow, Keras, or Spark MLlib. </li><li>Solid foundation in machine learning algorithms, natural language processing, and statistical modeling. </li><li>Strong grasp of fundamental computer science concepts including algorithms, distributed systems, data structures, and database management. </li><li>Expert-level proficiency in at least one programming language such as Java, Python, or C++.</li><li>Ability to tackle complex challenges and devise effective solutions. Use critical thinking to approach problems from various angles and propose innovative solutions.</li><li>Worked effectively in a remote setting, maintaining strong written and verbal communication skills. Collaborate with team members and stakeholders, ensuring clear understanding of technical requirements and project goals.</li><li>Proven experience in Apache Hadoop ecosystem (Oozie, Pig, Hive, Map Reduce).</li><li>Expertise in public cloud services, particularly in GCP and Vertex AI.</li></ul></ul><h3>Must have:</h3><ul><ul><li>Proven expertise in applying model optimization techniques (distillation, quantization, hardware acceleration) to production environments.</li><li>In-depth understanding of LLM architectures, parameter scaling, and deployment trade-offs.</li><li>Technical degree: Bachelor's degree in Computer Science with a minimum of 10+ years of relevant industry experience, or </li><li>A Master's degree in Computer Science with at least 8+ years of relevant industry experience. </li><li>A specialization in Machine Learning is preferred. </li></ul></ul>#LI-VM1#Rackspace#LI-Rackspace#LI-USA#LI-Remote<b>About Rackspace Technology</b>We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.  <b>More on Rackspace Technology</b>Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.

Principal MLOPs Engineer (Canada)

<b>Job Summary:</b>  We are seeking a highly skilled and experienced Principal Java Systems Engineer to join our dynamic team. The ideal candidate will have a strong background in information retrieval, processing, and ranking, with a solid understanding of public cloud technologies, especially GCP.  This role involves working in a remote environment, requiring excellent communication skills and the ability to solve complex problems independently and creatively.<b>Work Location: </b>Canada-Remote<h3>Key Responsibilities</h3><ul><ul><li>Develop scalable and innovative robust Java code for information retrieval, processing, and ranking at massive scale.</li><li>Build, enhance, optimize, and deploy tools, workflows, systems to process textual data for extraction of relevant information</li><li>Improve information extraction using machine learning and natural language processing techniques</li><li>Collaborate with team members and stakeholders, ensuring clear understanding of technical requirements and project goals.</li><li>Write detailed design documents, develop comprehensive automated tests, and coordinate automated deployments</li></ul></ul><h3>Qualifications</h3><ul><ul><li>Bachelor’s degree in computer science or related field of study with 15+ years of relevant industry experience /  Master’s degree in Computer Science with 10+ years of relevant industry experience</li><li>In-depth knowledge of algorithms, data structures, and systems</li><li>Familiarity with data mining, text processing and classification algorithms.</li><li>Experience in algorithm design and machine learning</li><li>Several years of experience developing enterprise applications in core Java</li><li>Experience in building distributed, low-cost, internet-scale streaming systems in Java, ideally on Linux</li><li>E2E software development lifecycle experience, including building and maintaining production grade software</li><li>Excellent communication, interpersonal, analytical, and problem-solving skills</li><li>Worked effectively in a remote setting, maintaining strong written and verbal communication skills. </li><li>Hands-on experience in Google Cloud Platform</li><li>5+ years of experience in customer-facing software/technology or consulting</li><li>Understanding of statistical methods and exploratory data analysis</li><li>Hands-on experience with Apache Hadoop</li><li>Prefer - Google Associate Cloud Engineer Certification or other Google Cloud Professional level certification.</li><b>Discover your inner Racker: <a href="https://rackspace.jobs/culture/" rel="noopener noreferrer nofollow ugc" target="_blank">Racker Life</a></b>#LI-JR1</ul></ul><b>About Rackspace Technology</b>We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.  <b>More on Rackspace Technology</b>Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.

Principal Java Systems Engineer

<b>Job Summary:</b> We are seeking a highly skilled and experienced Senior Java Systems Engineer to join our dynamic team. The ideal candidate will have a strong background in information retrieval, processing, and ranking, with a solid understanding of public cloud technologies, especially GCP.  This role involves working in a remote environment, requiring excellent communication skills and the ability to solve complex problems independently and creatively.  <b>Work Location: </b>Remote<h3>Key Responsibilities: </h3><ul><ul><li>Develop scalable and innovative robust Java code for information retrieval, processing, and ranking. </li><li>Build, enhance, optimize, and deploy tools, workflows, systems to process textual data for extraction of relevant information </li><li>Improve information extraction using machine learning and natural language processing techniques </li><li>Collaborate with team members and stakeholders, ensuring clear understanding of technical requirements and project goals. </li><li>Write detailed design documents, develop comprehensive automated tests, and coordinate automated deployments </li></ul></ul><h3>Qualifications: </h3><ul><ul><li>BS with 10+ years of relevant industry experience, or MS in Computer Science with 8+ years of relevant industry experience.</li><li>In-depth knowledge of algorithms, data structures, and systems.</li><li>Several years of experience developing applications in core Java.</li><li>Experience in building distributed, low-cost, highly scalable streaming systems in Java, ideally on Linux.</li><li>E2E software development lifecycle experience, including building and maintaining production grade software.</li><li>Excellent communication, interpersonal, analytical, and problem-solving skills.</li><li>Strong written and verbal communication skills with the English language.</li><li>Familiarity with data mining, text processing and classification algorithms. </li><li>Experience in algorithm design and machine learning.</li><li>Prefer… Google Associate Cloud Engineer Certification or other Google Cloud Professional level certification.</li><li>Prefer… Hands-on experience in public cloud platforms, ideally GCP. Additional experience with other cloud technologies is advantageous. </li><li>Prefer... 5+ years of experience in customer-facing software/technology or consulting.</li><li>Prefer… Understanding of statistical methods and exploratory data analysis.</li><b>Discover your inner Racker: </b><a href="https://rackspace.jobs/culture/" rel="noopener noreferrer nofollow ugc" target="_blank"><b>Racker Life</b></a></ul></ul><b>About Rackspace Technology</b>We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.  <b>More on Rackspace Technology</b>Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.

SR Java Systems Engineer

We are seeking a highly experienced Senior Backend Java Engineercombined with Data and Machine learning experience with a minimum of 8 years of industry experience. The ideal candidate will be an independent contributor, self-driven, and possess excellent communication and collaboration skills. This role requires close interaction with the Research team and Product Managers to bring machine learning models into production. <h3>Requirements:</h3><ul><ul><li><b>Collaborate and Integrate:</b> Work closely with the Research team and Product Managers to understand requirements and translate them into robust backend solutions. Ensure seamless integration of machine learning models into production environments. </li><li><b>Design and Development:</b> Architect, design, and develop distributed, scalable, and high-performance software solutions. Apply best practices in software engineering to ensure code quality, reliability, and maintainability. </li><li><b>Proactive Issue Resolution:</b> Take initiative to identify potential issues and proactively resolve them. Ensure the robustness and reliability of the backend systems through continuous monitoring and improvement. </li><li><b>Operability Measures:</b> Implement and maintain operability measures such as logging, monitoring, alerting, and debugging. Ensure that systems are always running smoothly and any issues are quickly addressed. </li><li><b>DevOps Practices:</b> Embrace DevOps methodologies to streamline the development and deployment process. Utilize CI/CD pipelines and build tools like Maven and Gradle to ensure efficient and reliable software delivery. </li><li><b>Performance Optimization:</b> Continuously analyze and optimize the performance of backend systems. Ensure that applications can handle high volumes of traffic and data efficiently. </li><li><b>Documentation and Best Practices:</b> Create and maintain comprehensive documentation for the backend systems and processes. Share best practices with the team and contribute to a culture of continuous improvement. </li></ul></ul><h3>Must Have: </h3><ul><ul><li><b>Proficiency in Java:</b> Demonstrable expertise in Java programming, with a deep understanding of its ecosystem and best practices. </li><li><b>Experience in Distributed Systems:</b> Proven experience in designing, developing, and maintaining distributed, scalable, and high-performance software. Ability to handle complex system architectures. </li><li><b>Machine Learning and Big Data:</b> Practical knowledge of machine learning algorithms and big data technologies. Experience with Hadoop, Oozie, Pig, Hive, HBase , Vertex AI and AutoML along with machine learning frameworks( TensorFlow, PyTorch) and libraries (e.g., scikit-learn) </li><li><b>Collaboration and Communication:</b> Strong ability to work collaboratively with cross-functional teams, including researchers and product managers. Excellent communication skills to effectively convey technical concepts and ideas. </li><li><b>Proactivity:</b> Ability to take initiative and be proactive in identifying and resolving issues. Strong problem-solving skills and a can-do attitude. </li><li><b>Operability Experience:</b> Experience with implementing and maintaining operability measures such as logging, monitoring, alerting, and debugging. Ensuring system health and reliability. </li><li><b>DevOps Practices:</b> Familiarity with DevOps practices, CI/CD pipelines, and build tools like Maven and Gradle. Experience with automation and continuous integration. </li><li><b>Performance Optimization:</b> Ability to analyze and optimize system performance. Ensuring applications can handle high volumes of traffic and data efficiently. </li><li><b>Containerization:</b> Knowledge of containerization technologies such as Kubernetes (K8S) and Docker. Experience with container orchestration and management. </li><li><b>GCP Vertex AI:</b> Experience with Google Cloud Platform (GCP) Vertex AI. Ability to leverage cloud-based tools and services for machine learning and data processing. </li></ul></ul>#LI-VM1#LI-Toronto#LI-Rackspace#Rackspace<b>About Rackspace Technology</b>We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.  <b>More on Rackspace Technology</b>Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.

Senior Backend Java ML Engineer- Canada

<b>About the Role:</b>We are seeking a highly skilled and experienced Senior Big Data Engineer to join our dynamic team. The ideal candidate will have a strong background in developing and scaling both stream and batch processing systems, and a solid understanding of public cloud technologies, especially GCP. This role involves working in a remote environment, requiring excellent communication skills and the ability to solve complex problems independently and creatively.<b>What you will be doing</b>Build a reusable, and reliable code for stream and batch processing systems at scale. This includes working with technologies like Pub/Sub, Kafka, Kinesis, DataFlow, Flink, Hadoop, Pig, Hive, and Spark. Implementing automation/DevOps best practices for CI/CD, IaC, Containerization, etc.<h3>Requirements:</h3><ul><ul><li>Experience in building a reusable, and reliable code for stream and batch processing systems at scale. </li><li>Expertise in public cloud services, particularly in GCP. </li><li>Experience with GCP managed services and understanding of cloud-based messaging/stream processing systems are critical.  Data Proc, Cloud Composer, GCS, DataFlow.</li><li>Experienced in Infrastructure and Applied DevOps principles in daily work. Utilize tools for continuous integration and continuous deployment (CI/CD), and Infrastructure as Code (IaC) like Terraform to automate and improve development and release processes.</li><li>Has knowledge in containerization technologies such as Docker and Kubernetes to enhance the scalability and efficiency of applications.</li><li>Ability to tackle complex challenges and devise effective solutions. Use critical thinking to approach problems from various angles and propose innovative solutions.</li><li>Worked effectively in a remote setting, maintaining strong written and verbal communication skills. Collaborate with team members and stakeholders, ensuring clear understanding of technical requirements and project goals.</li><li>Proven experience in engineering stream/batch processing systems at scale.</li><li>Strong programming abilities in Java and Python.</li><li>Hands-on experience in public cloud platforms, particularly GCP. Additional experience with other cloud technologies is advantageous.</li></ul></ul><h3>Must Have: </h3><ul><ul><li><b>Strong Java 11-17 experience</b></li><li><b>Dataflow (Managed Apache Beam)</b></li><li><b>Pub/Sub</b></li><li>Google Associate Cloud Engineer Certification or other Google Cloud Professional level certification</li><li>4+ years of experience in customer-facing software/technology or consulting</li><li>4+ years of experience with “on-premises to cloud” migrations or IT transformations</li><li>4+ years of experience building, and operating solutions built on GCP (ideally) or AWS/Azure</li><li>Technical degree: Computer Science, software engineering or related</li></ul></ul>#LI-VM1#LI-Canada#LI-Toronto#Rackspace<b>About Rackspace Technology</b>We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.  <b>More on Rackspace Technology</b>Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.

Senior Streaming Engineer (GCP) - Canada

Apply to Cyber Security Jobs in Canada in companies remotely and near you. New Cyber Security Jobs in Canada added daily.

Job Position and Company	Location	Tags	Posted
Compensation Consultant (12-Month Contract) at Acronis	Remote Full Time Consultant Contract
Sr Big Data Engineer Airflow and Oozie (GCP) at Rackspace	Remote Full Time Consulting
Senior Big Data Hadoop ML Engineer (GCP) - Canada at Rackspace	Remote Full Time Consulting
Principal Java DevOps Engineer at Rackspace	Remote Full Time
Observability Engineer with OpenTelemetry Expertise (GCP) - Canada at Rackspace	Remote Full Time
Senior MLOPs Engineer (Canada) at Rackspace	Remote Full Time
Principal MLOPs Engineer (Canada) at Rackspace	Remote Full Time
Principal Java Systems Engineer at Rackspace	Remote Full Time Consulting
SR Java Systems Engineer at Rackspace	Remote Full Time Consulting
Senior Backend Java ML Engineer- Canada at Rackspace	Full Time
Senior Streaming Engineer (GCP) - Canada at Rackspace	Remote Full Time Consulting

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