Senior Software Engineer, Platform - Data AI (Back-End)
Company: C3 AI
Location: Portola Valley
Posted on: January 8, 2026
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Job Description:
C3 AI (NYSE: AI), is the Enterprise AI application software
company. C3 AI delivers a family of fully integrated products
including the C3 Agentic AI Platform, an end-to-end platform for
developing, deploying, and operating enterprise AI applications, C3
AI applications, a portfolio of industry-specific SaaS enterprise
AI applications that enable the digital transformation of
organizations globally, and C3 Generative AI, a suite of
domain-specific generative AI offerings for the enterprise. C3 AI
is looking for Senior Software Engineers to join the rapidly
growing Data org within the Platform Engineering department.
Successful candidates will get the opportunity to work on
high-value technologies at the intersection of large-scale
distributed systems, data infrastructure, and machine learning. You
will design, develop, and maintain various features in a highly
scalable and extensible AI/ML platform for large-scale
applications, involving data science, distributed systems, and
multi-cloud strategy. You will be given opportunities to take
ownership of components, collaborate to drive technical direction,
and work on interesting, impactful projects. Join us in building
the next-generation AI/ML platform at petabyte level scale that
powers some of the world’s largest companies in Energy, Financial
Services, Utilities, Health Care, Aerospace, Defense, etc.
Accelerate your career in the leading enterprise AI company that is
in a hyper-growth trajectory. Responsibilities : • Design and
develop infrastructure and services to enable data pipelines for
petabyte level scale and more. • Design and develop abstractions
over datastores such as Cassandra, PostgreSQL, Snowflake, etc. •
Design and develop file system abstractions over AWS S3, Azure
Blobs, HDFS, etc. • Design and develop connectors to various
external data stores. • Design and develop distributed system
components for stream processing, queueing, batch processing,
analytics engines, etc. • Develop and maintain industry-leading,
high-performance APIs for AL/ML applications. • Develop and
maintain features for distributed computations over large-scale
data for ML workflows. • Design and develop ML-specific
data-systems such as feature stores and behavioral frameworks such
as recommendation engines. • Design and develop integrations with
distributed computing technologies such as Apache Spark, Ray, etc.
for data exploration and ML workload orchestration. • Design and
develop integrations with data analysis libraries such as Pandas,
Koalas, etc. • Develop and production AI/ML models for failure
prediction, data schema inferencing, etc. • Work on frameworks for
performance, scalability, and reliability tracking over different
components of a highly extensible AI/ML platform. • Work with
architects, product managers, and software engineers across teams
in a highly collaborative environment. • Participate and provide
insights in technical discussions. • Write clean code following a
test-driven methodology. • Deliver commitments promptly following
agile software development methodology. Qualifications : • Bachelor
of Science in Computer Science, Computer Engineering, or related
fields. • Strong understanding of Computer Science fundamentals. •
High proficiency in coding with Java, C++, C#, or some other
compiled language. Python would also be acceptable. • Strong
competency in object-oriented programming, data structures,
algorithms, and software design patterns. • Experience with version
control systems such as Git. • Experience with large-scale
distributed systems. • Experience with any public cloud platform
(AWS, Azure, GCP). • Some familiarity with distributed computing
technologies (e.g., Hadoop, Spark, Kafka). Familiarity with managed
versions of these technologies on public cloud platforms is also
acceptable. • Familiarity with technologies in the modern data
science/analysis and engineering ecosystem (e.g., Pandas, Koalas).
• Good verbal and written technical communication ability to
facilitate collaboration. • Thrive in a fast-paced, dynamic
environment and value end-to-end ownership of components. •
Intellectually curious and open to challenges. Preferred
Qualifications: • Advanced degree in engineering, sciences, or
related field. • Experience with Agile development methodology. •
Experience developing and working with REST and/or GraphQL APIs. •
Experience building scalable and reliable data pipelines. •
Experience with integration of data from multiple sources. •
Experience working with analytics and/or data processing engines. •
Experience developing distributed computation over large-scale
data. • Experience working with distributed computing frameworks
(e.g., Hadoop, Spark, Kafka). • Experience with data
science/analysis libraries (e.g., Pandas, Koalas). • Experience
with task schedulers in distributed computing (e.g., Spark, Ray,
Dask). • Familiarity with machine learning workload orchestration
in a distributed computing environment. • Familiarity with workflow
execution and/or optimization using DAGs, ideally for machine
learning use-cases. • Conceptual understanding of orchestration and
resource provisioning systems (Kubernetes)
Keywords: C3 AI, Vallejo , Senior Software Engineer, Platform - Data AI (Back-End), IT / Software / Systems , Portola Valley, California
