Principal Software Engineer
Job Summary
At Anaplan we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.
What unites Anaplanners across teams and geographies is our collective commitment to our customers success and to our Winning Culture.
Our customers rank among the whos who in the Fortune 50. Coca-Cola LinkedIn Adobe LVMH and Bayer are just a few of the 2400 global companies who rely on our best-in-class platform.
Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas we behave like leaders regardless of title we are committed to achieving ambitious goals and we love celebrating our wins big and small.
Supported by operating principles of being strategy-led values-based and disciplined in execution youll be inspired connected developed and rewarded here. Everything that makes you unique is welcome; join us and lets build whats next - together!
About the Role
Anaplan is looking for a skilled Senior Python Machine Learning Developer to join our AI engineering team. This is a crucial hands-on developer role focused on building the robust backend systems that power our machine learning features. You are not just a data scientist; you are a software engineer who specializes in bringing ML models to life in a production environment. You will be responsible for designing building and deploying the APIs data pipelines and backend services necessary to integrate sophisticated machine learning capabilities into the Anaplan platform.
Key Responsibilities
- Design build and maintain scalable and reliable machine learning services and APIs using Python.
- Develop and productionize ML models taking them from prototype to scalable live systems.
- Construct and manage the data pipelines required for model training validation and inference.
- Build and interact with databases (both SQL and NoSQL) to store and retrieve data for ML applications.
- Write clean high-quality and well-tested code adhering to software engineering best practices.
- Collaborate with data scientists AI architects and other engineers to integrate ML models into our products.
- Optimize applications for speed scalability and reliability.
- Contribute to our MLOps infrastructure to streamline the deployment and monitoring of machine learning models.
Required Qualifications
- Expert Python Programming: Strong hands-on proficiency in Python for software development.
- Backend & API Development: Proven experience building and deploying backend services and RESTful APIs using frameworks like Flask FastAPI or Django.
- Database Proficiency: Solid experience with both SQL (e.g. PostgreSQL) and NoSQL (e.g. MongoDB Redis) databases including data modeling and query optimization.
- Machine Learning Libraries: Deep practical knowledge of the core Python ML ecosystem:
- Data manipulation and analysis: Pandas NumPy.
- Core ML frameworks: scikit-learn.
- Deep learning frameworks: Experience with TensorFlow or PyTorch.
- Strong understanding of software engineering principles including data structures algorithms and design patterns.
- Experience with version control (Git) and CI/CD practices.
- Excellent problem-solving skills and the ability to write efficient production-ready code.
Preferred Qualifications
- Bachelors or Masters degree in Computer Science Engineering or a related field.
- Experience with cloud platforms (AWS Azure or GCP) and their ML services.
- Familiarity with containerization technologies like Docker and orchestration with Kubernetes.
- Experience with MLOps tools and principles (e.g. MLflow Kubeflow).
- Knowledge of large-scale data processing frameworks like Spark or Dask.
What Makes This Role Exciting
This role places you at the critical intersection of software engineering and machine learning. You are a builder responsible for creating the tangible systems that make our AI intelligent. You will tackle complex engineering challenges from API design to database performance all within the context of delivering cutting-edge machine learning features. At Anaplan you will see your code run at scale directly impacting a product used by leading global enterprises and solving real-world business problems.
Our Commitment to Diversity Equity Inclusionand Belonging (DEIB)
We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce enhances trust with our partners and customers and drives business success. Build your career in a place where diversity equity inclusion and belonging arent just words on paper this is what drives our innovation its how we connect and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued regardless of gender identity or expression sexual orientation religion ethnicity age neurodiversity disability status citizenship or any other aspect which makes people unique. We hire you for who you are and we want you to bring your authentic self to work every day!
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process perform essential job functions and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
Fraud Recruitment Disclaimer
It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals mainly through telephone calls emails and correspondence claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.
Anaplan does not:
- Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.
- Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.
All emails from Anaplan would come from an @ email address. Should you have any doubts about the authenticity of an email letter or telephone communication purportedly from for or on behalf of Anaplan please send an email to before taking any further action in relation to the correspondence.
Required Experience:
Staff IC
About Company
See, plan and lead on finance, supply chain, and sales strategies that drive business performance using the Anaplan connected planning platform.