Behavox Is Hiring A DevOps Engineer 3 For Machine Learning Infrastructure - Apply Now

by StackCamp Team 86 views

Are you a seasoned DevOps engineer passionate about building and scaling machine learning infrastructure? Behavox, a leading AI-driven data analytics company, is seeking a DevOps Engineer 3 to join their team and play a pivotal role in shaping the future of their machine learning platform. This is an exciting opportunity to work on cutting-edge technology, collaborate with talented engineers and data scientists, and contribute to a product that has a significant impact on the financial industry.

About Behavox

Behavox is a global leader in AI-powered compliance solutions, helping financial institutions and other organizations detect and prevent misconduct. Their platform uses advanced machine learning algorithms to analyze vast amounts of data, identifying patterns and anomalies that could indicate regulatory violations, fraud, or other risks. With a commitment to innovation and a focus on delivering exceptional value to their clients, Behavox is at the forefront of the compliance technology landscape.

The Role: DevOps Engineer 3

As a DevOps Engineer 3 at Behavox, you will be a key member of the Machine Learning Infrastructure team, responsible for designing, building, and maintaining the infrastructure that powers their machine learning models. You'll work closely with data scientists and other engineers to ensure that their platform is scalable, reliable, and secure. This role requires a strong understanding of DevOps principles, experience with cloud technologies, and a passion for automation.

Key Responsibilities

  • Design and implement scalable and reliable infrastructure for machine learning workloads. This involves selecting appropriate technologies, designing system architectures, and ensuring that the infrastructure can handle the demands of machine learning models, which often require significant computational resources and data storage.
  • Automate infrastructure provisioning and deployment using Infrastructure-as-Code (IaC) tools. Automation is crucial for ensuring consistency, repeatability, and efficiency in managing infrastructure. IaC tools like Terraform or CloudFormation allow you to define your infrastructure in code, making it easier to version, test, and deploy.
  • Manage and monitor cloud-based infrastructure (AWS, Azure, GCP). Behavox leverages cloud technologies to host its machine learning platform, so you'll need to be proficient in managing resources in cloud environments. This includes tasks like provisioning virtual machines, configuring networks, and monitoring system performance.
  • Implement and maintain CI/CD pipelines for machine learning models. Continuous Integration and Continuous Delivery (CI/CD) pipelines automate the process of building, testing, and deploying machine learning models. This ensures that new models can be released quickly and reliably.
  • Collaborate with data scientists and engineers to optimize machine learning workflows. Effective collaboration is essential for ensuring that the infrastructure meets the needs of the data science team. This involves understanding their workflows, identifying bottlenecks, and implementing solutions to improve efficiency.
  • Troubleshoot and resolve infrastructure issues in a timely manner. When issues arise, you'll need to be able to diagnose the problem and implement a solution quickly to minimize downtime. This requires strong troubleshooting skills and a deep understanding of the infrastructure.
  • Ensure the security and compliance of the infrastructure. Security is a top priority, especially in the financial industry. You'll need to implement security best practices and ensure that the infrastructure complies with relevant regulations.
  • Participate in on-call rotation. As part of the team, you'll be responsible for responding to incidents outside of regular business hours. This ensures that the platform remains available and reliable.

Qualifications

To be successful in this role, you'll need a combination of technical skills, experience, and personal attributes. Here are some of the key qualifications Behavox is looking for:

  • Bachelor's degree in Computer Science or a related field. A strong educational background in computer science or a related field provides the foundation for understanding the technical concepts and principles involved in DevOps engineering.
  • 5+ years of experience in a DevOps role. This level of experience indicates that you have a proven track record of building and managing infrastructure in a production environment.
  • Strong understanding of DevOps principles and practices. A solid understanding of DevOps principles, such as automation, collaboration, and continuous improvement, is essential for success in this role.
  • Experience with cloud platforms (AWS, Azure, GCP). Proficiency in one or more cloud platforms is crucial for managing the cloud-based infrastructure that powers Behavox's machine learning platform.
  • Experience with Infrastructure-as-Code (IaC) tools (e.g., Terraform, CloudFormation). Experience with IaC tools is essential for automating infrastructure provisioning and deployment.
  • Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes). Containerization and orchestration technologies are widely used in modern infrastructure to package and deploy applications. Experience with these technologies is highly desirable.
  • Experience with CI/CD pipelines. Experience with CI/CD pipelines is crucial for automating the process of building, testing, and deploying machine learning models.
  • Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack). Monitoring and logging tools are essential for tracking system performance and identifying issues.
  • Strong scripting skills (e.g., Python, Bash). Scripting skills are necessary for automating tasks and managing infrastructure.
  • Excellent communication and collaboration skills. Effective communication and collaboration are essential for working with data scientists and other engineers.
  • Passion for learning and staying up-to-date with the latest technologies. The technology landscape is constantly evolving, so a passion for learning and staying up-to-date is crucial for success in this role.

Preferred Qualifications

In addition to the core qualifications, the following qualifications are considered a plus:

  • Experience with machine learning infrastructure. Experience with machine learning infrastructure is highly desirable, as it demonstrates a deep understanding of the specific challenges and requirements of this type of infrastructure.
  • Experience with big data technologies (e.g., Spark, Hadoop). Experience with big data technologies is beneficial for managing the large datasets used in machine learning.
  • Experience with data engineering pipelines. Experience with data engineering pipelines is valuable for understanding how data is processed and prepared for machine learning.
  • Experience with security best practices. A strong understanding of security best practices is essential for ensuring the security and compliance of the infrastructure.

Why Join Behavox?

Behavox offers a dynamic and challenging work environment where you can make a real impact. You'll be working on cutting-edge technology, collaborating with talented engineers and data scientists, and contributing to a product that is transforming the financial industry. In addition to a competitive salary and benefits package, Behavox offers opportunities for professional growth and development.

Here are some of the key reasons to consider joining Behavox:

  • Be at the forefront of AI-powered compliance solutions. Behavox is a leader in the field of AI-powered compliance, and you'll have the opportunity to work on innovative technology that is making a difference in the world.
  • Work with a talented team of engineers and data scientists. You'll be surrounded by smart and passionate people who are committed to excellence.
  • Make a real impact on the financial industry. Behavox's platform helps financial institutions detect and prevent misconduct, contributing to a more ethical and transparent financial system.
  • Opportunities for professional growth and development. Behavox is committed to investing in its employees and provides opportunities for learning and growth.
  • Competitive salary and benefits package. Behavox offers a competitive salary and benefits package, including health insurance, paid time off, and other perks.

How to Apply

If you are a passionate DevOps engineer with experience building and scaling machine learning infrastructure, Behavox encourages you to apply. To learn more about this opportunity and submit your application, please visit the Behavox careers website. Don't miss this chance to join a dynamic team and contribute to the future of AI-powered compliance.

Behavox is an equal opportunity employer and values diversity at its company. They do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

In conclusion, the DevOps Engineer 3 position at Behavox presents a unique opportunity for experienced DevOps professionals to contribute to a cutting-edge machine learning platform. By joining Behavox, you will be working alongside talented engineers and data scientists, building scalable and reliable infrastructure, and making a real impact on the financial industry. The role requires a deep understanding of DevOps principles, cloud technologies, and automation, as well as a passion for learning and problem-solving. If you are looking for a challenging and rewarding career in a fast-growing company, Behavox is a great place to consider.

Behavox's commitment to innovation and its focus on delivering exceptional value to its clients make it a leader in the compliance technology landscape. As a DevOps Engineer 3, you will play a vital role in ensuring the stability, scalability, and security of the machine learning infrastructure that powers their platform. The key responsibilities of this role include designing and implementing scalable infrastructure, automating infrastructure provisioning and deployment, managing cloud-based infrastructure, implementing CI/CD pipelines, collaborating with data scientists, troubleshooting issues, and ensuring security and compliance. By mastering these responsibilities, you will contribute significantly to the success of Behavox and its mission to detect and prevent misconduct in the financial industry.

Therefore, if you possess the required qualifications and a passion for DevOps and machine learning, Behavox encourages you to apply for this exciting opportunity. You will have the chance to work on challenging problems, learn from experienced professionals, and make a tangible difference in a dynamic and innovative company. The DevOps Engineer 3 role at Behavox is more than just a job; it's an opportunity to build a rewarding career in a field that is constantly evolving and shaping the future of the financial industry. This position not only offers technical challenges but also the chance to work in a collaborative environment where your contributions are valued and recognized. With a commitment to innovation and a strong team culture, Behavox is an excellent place to grow your career as a DevOps engineer. You'll be part of a company that is dedicated to making a positive impact on the world by helping financial institutions and other organizations operate with integrity and transparency.