Senior Staff Software Engineer, NAVEX
MLOps
$125k
+ 5% MBO
Risk, compliance & whistleblowing solutions
Job no longer available
Risk, compliance & whistleblowing solutions
1001+ employees
Job no longer available
$125k
+ 5% MBO
1001+ employees
Company mission
To help customers promote ethical, inclusive workplace cultures, protect their brands, and proactively mitigate risks.
Role
Who you are
- A bachelor’s degree in computer science or be good enough that we won’t notice through equivalent prior work-related experience
- 8+ years full-stack software development experience, ideally in a SaaS or micro service-based system
- Proven experience in MLOps or related roles
- Strong proficiency in cloud platforms, especially AWS or Azure
- Experience in machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
- Experience with containerization and orchestration tools (e.g., Docker, Kubernetes)
- Experience with model pipeline and registry tools, detecting and preventing model drift, automating model monitoring, and ensuring model accuracy
- Experience with data pipeline tools, such as Apache Kafka, and distributed processing systems, such as Apache Spark
- Solid understanding of CI/CD principles and tools
- Strong scripting and programming skills (e.g., Python, Bash)
- Excellent problem-solving skills
- Knowledge of FinOps principles and cloud cost management would be valuable, not required
- Excellent verbal and written communication skills and a commitment to participate effectively with a team and collaborate with people across a variety of levels with diverse backgrounds
What the job involves
- As our MLOps Senior Staff Software Engineer, you will play a crucial role in the development, deployment, and maintenance of machine learning models and solutions
- You will collaborate with cross-functional teams, including data scientists, software engineers, and DevOps Specialists, to ensure seamless integration of machine learning models into our production environments
- Set up and maintain infrastructure on cloud platforms such as AWS and Azure for machine learning workloads
- Work as a part of our DevOps teams to ensure efficient deployment and scaling of machine learning models
- Design and implement end-to-end machine learning pipelines, incorporating tools and services for data preprocessing, model training, and deployment
- Develop and maintain automated workflows for continuous integration and continuous deployment (CI/CD) of machine learning models
- Deploy machine learning models into production environments and manage their lifecycle
- Implement monitoring solutions to track model performance, data drift, and other relevant metrics
- Work closely with data scientists to understand model requirements and assist in model development
- Collaborate with software engineers to integrate machine learning components into applications and services
- Utilize machine learning frameworks to build and deploy models
- Stay updated on the latest advancements in MLOps tools and technologies and recommend improvements to existing workflows
- Incorporate FinOps principles into cloud cost management strategies, optimizing machine learning workloads for cost efficiency and collaborate with finance and hosting operations to monitor, analyze, and control expenses
Our take
Organizations in all sectors face changing and increasingly complex regulations. Compliance failures can lead not only to fines and sanctions, but also to reputational damage that can ruin years’ worth of careful brand building in minutes. Meeting this challenge requires establishing compliance metrics that are documented and auditable across functions, which is what NAVEX was founded to do.
The company consists of an integrated platform of GRC management software that provides businesses with the tools to navigate emerging risks, including those arising from ethical lapses and other bad behaviors which expose organizations to legal, operational, and reputational harm. It has the power to gain organizational insight, increase operational efficiencies, and make informed decisions with confidence. Its solutions are deployed by over ten thousand customers on all corners of the globe, and including 77% of the Fortune 100 and 500.
NAVEX is in a strong financial position to expand its capabilities; its main priority for the following period is developing new software to solve current business challenges. As part of this initiative, it has launched a tool that automates and simplifies ESG Reporting, which has become essential for companies aiming to attract top employees and investors. Its growing presence in Europe led to the opening of a London office and Frankfurt data facility in 2023. An acquisition by a Goldman Sachs-led consortium grew the company's valuation to $2.5 billion in 2025. The future looks bright, then, for Navex.
Steph
Company Specialist at Welcome to the Jungle
Company
Company benefits
- Rest & Relaxation: We offer flexible time off to recharge and see the world.
- Life Leave: Paid time off to support you and your family when you need it most.
- Community Groups: Employee-led groups to support each other, and celebrate the diversity of our people.
- Hybrid Working: We love coming together to work, but we also love the freedom to work outside the office.
Company HQ
Lake Forest, Lake Oswego, OR
Leadership
Arpan Sheth
(CEO)Prior to joining NAVEX in 2026, Arpan spent 23 years at Bain & Company as a Senior Partner.
Raj Sethuraman
(Chief Product & Technology Officer)Raj is a Member of the Forbes Technology Council, a role they have held since 2018. Prior to joining NAVEX in 2026, they were the Chief Product & Technology Officer at Finvi as well as the CTO at Wolters Kluwer ELM Solutions.
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