Apexon is a digital-first technology services firm that accelerates business transformation through innovative engineering, user-centric experiences, and data-driven solutions across diverse industries.
Santa Clara, California
Apexon is a technology services firm specializing in accelerating business transformation and engineering intelligent enterprises. For over two decades, the company has been meeting clients wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation. Its reputation is built on a comprehensive suite of engineering services, a dedication to solving clients’ toughest technology problems, and a commitment to continuous improvement. The company focuses on Artificial Intelligence, Data and Analytics, Digital Engineering and Experience, and has deep expertise in Banking and Financial Services, Healthcare, and Life Sciences. Apexon is backed by Goldman Sachs Asset Management and Everstone Capital. Learn more at Apexon.com.
On-site · Toronto
Lead the design and implementation of Snowflake-native data architectures and production ETL/ELT pipelines. Develop internal utilities and apps while optimizing query performance, cost, and data governance.
Hybrid · Toronto
Build scalable backend services and cloud-native microservices using Python and FastAPI. Develop Snowflake-native applications and secure REST APIs while collaborating with product and analytics teams.
Hybrid · Toronto
The architect will design scalable automation frameworks and drive enterprise-wide test automation strategies across web, mobile, and API platforms. They will integrate Generative and Agentic AI technologies to enhance software quality and delivery speed.
On-site · Toronto
Design and build scalable Snowflake-native solutions and high-performance ETL/ELT pipelines. Optimize Snowflake performance, cost, and security while driving automation and CI/CD best practices.
On-site · Toronto
Design, build, and maintain scalable and reliable platform infrastructure to support microservices-based applications. Ensure environment consistency and optimize database performance for the engineering team.
On-site · Toronto
The role involves performing functional, regression, and exploratory testing for mobile and web applications. Responsibilities include creating test plans, executing end-to-end cycles, and collaborating with Agile teams to ensure high-quality releases.
On-site · Toronto
Design and build scalable backend services and Snowflake-native applications using Python and FastAPI. Develop secure REST APIs and data processing pipelines to deliver production-ready data products.
On-site
We're Hiring: Senior Software Engineer 📍 Location: Toronto, Canada 💼 Experience: 6+ Years Join our engineering team to build highly scalable, secure, and high-performance solutions for a modern core banking platform. You'll work on distributed microservices that process high volumes of financial transactions while collaborating with a talented cross-functional team. What You'll Bring: ✅ 6+ years of software development experience ✅ Strong expertise in Python (preferred) or another object-oriented language ✅ Hands-on experience with Microservices & Distributed Systems ✅ Docker / Container…
Hybrid
🚀 We're Hiring: Data Engineering Lead 📍 Toronto, ON | Hybrid We're looking for an experienced Data Engineering Lead to join a high-performing team building scalable data platforms that power enterprise analytics, business intelligence, and next-generation AI solutions. If you're passionate about big data, cloud technologies, and leading technical initiatives, we'd love to connect! 💻 Required Skills ✅ 8+ years of Data Engineering experience (2+ years in a Lead/Technical Lead role) ✅ Python, PySpark, Pandas & NumPy ✅ SQL, Apache Spark, Hadoop & Impala ✅ Databricks & Snowflake ✅ Azure or AW…
Hybrid · Toronto
Design and develop end-to-end trust-signal processing solutions and scalable backend services using Java Spring Boot. Architect edge-layer solutions and drive technology decisions across AWS infrastructure to enable ML inference.
Hybrid · Toronto
Join an R&D Innovation Team to build next-generation Agentic AI solutions from scratch. You will be responsible for solving complex problems, evaluating new technologies, and designing robust software architectures.
On-site · Toronto
Design, develop, and maintain scalable backend services and RESTful APIs while contributing to platform engineering initiatives. Collaborate with cross-functional teams to optimize system performance, security, and observability within distributed systems.
Remote · Canada
Lead efforts to ensure mobile application quality through advanced automation frameworks and AI-driven tools. Design and implement scalable automation solutions for iOS and Android platforms to optimize testing strategies.
On-site · Toronto
The Data Engineering Lead will design, build, and optimize scalable data platforms for advanced analytics and business intelligence. They will lead the ingestion, transformation, and processing of large-scale datasets while ensuring data quality and performance.
On-site · Toronto
The role involves hands-on engineering as well as technical leadership, focusing on enterprise architecture and analytics enablement. It also requires stakeholder management and innovation for long-term platform strategy.
Hybrid · Toronto
The role involves designing and developing scalable Java backend applications and building proof-of-concepts for innovative AI-driven solutions. Additionally, the candidate will evaluate new technologies and partner with product teams to develop beta products and services.
On-site · Toronto
Design and deliver high-quality features and enhancements for a core banking platform. Own end-to-end delivery of large features and optimize system performance to meet SLAs.
