Lead Java Engineer | 8+ Year (Contract)
Top Benefits
About the role
Lead Java Engineer (Contract)
Experience: 8+ Years Location: Toronto, Canada Work Mode: Hybrid
Employment Type: 6-Month Contract (Extension up to 1 year possible based on individual performance and business requirements.)
Role Summary
We are looking for a Lead Java Engineer who thrives in ambiguous environments, enjoys building scalable platforms from the ground up, and delivers high-quality solutions at speed. This is a hands-on technical leadership role with strong architectural ownership, where you will design scalable systems while actively contributing to development. You will work at the intersection of backend engineering, edge computing, and AI/ML platforms, partnering closely with Data Science teams to build the foundation for trust-signal processing and machine learning inference.
Key Responsibilities
Design and develop end-to-end trust-signal processing solutions, including edge detection, ingestion APIs, processing pipelines, storage, and downstream integrations. Build scalable backend services using Java Spring Boot, including APIs, data processing pipelines, and core platform services. Architect edge-layer solutions across CDN and edge-computing platforms for low-latency signal capture and processing. Design secure integrations with third-party identity and trust providers using JWT validation, public-key caching, and deterministic signal ingestion. Develop platform capabilities that enable ML inference, including feature pipelines, structured data layers, and model registry integrations. Drive architecture and technology decisions across AWS infrastructure, storage, observability, reliability, and governance. Collaborate closely with Product, Data Science, and Engineering teams while rapidly prototyping and delivering production-ready solutions.
Required Qualifications
8+ years of experience building scalable distributed systems. Proven experience building greenfield applications and taking platforms from 0 to 1. Strong system design and architectural skills with the ability to translate business requirements into technical solutions. Comfortable working in fast-paced, evolving environments with high ownership.
Required Skills
Strong expertise in Java, Spring Boot, REST APIs, Microservices, and Event-Driven Architecture. Experience building AI/ML inference platforms, including data normalization, feature pipelines, or model-serving integrations. Hands-on experience with AWS (Compute, Storage, Networking, IAM). Experience with Edge Computing technologies such as Edge Workers, CDN Functions, Lambda@Edge, or similar platforms. Proficiency using AI-assisted development tools such as GitHub Copilot, LLM-powered workflows, or agentic coding assistants. Working knowledge of JavaScript/TypeScript for edge runtimes; Python experience is a plus.
Preferred Skills
Identity and security technologies such as JWT, JWS, OAuth 2.0, PKI, or token verification. Databricks or similar AI/Data platforms. Observability tools including distributed tracing, structured logging, and monitoring dashboards. Experience building multi-party integration platforms or network services. Open-source contributions or technical community involvement.
About Apexon
Apexon is a digital-first technology services firm specializing in accelerating business transformation and delivering human-centric digital experiences. We help customers innovate faster by leveraging our expertise in AI, analytics, cloud, data, DevOps, application development, quality engineering, and user experience across industries including BFSI, Healthcare, and Life Sciences. Backed by Goldman Sachs Asset Management and Everstone Capital, Apexon has a global presence with 15 offices and 10 delivery centers across four continents.
Our Commitment to Diversity & Inclusion
Apexon has been certified as a Great Place To Work® across the USA, India, the UK, and Mexico. We are committed to fostering an inclusive workplace where diversity is valued, and equal employment opportunities are provided to all qualified individuals.
Our Commitment to Environment
We actively support sustainable practices and encourage every employee to contribute to Apexon's environmental and ESG initiatives.
Benefits & Perks
Group Health Insurance for a family of four Term Life Insurance Personal Accident Insurance Paid Holidays & Earned Leaves Paid Parental Leave Learning & Career Development Programs Employee Wellness Programs Continuous Upskilling & Career Growth Opportunities
Not the right fit? Search for Java Engineer | 8+ Year jobs in Toronto, Ontario, Canada
About Apexon
Apexon is a digital-first technology services firm specializing in accelerating business transformation and delivering human-centric digital experiences. For over 27 years, Apexon has been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation. Our reputation is built on a comprehensive suite of engineering services, a dedication to solving our clients’ toughest technology problems, and a commitment to continuous improvement. We focus on three broad areas of digital services: User Experience (UI/UX, Commerce); Engineering (QE/Automation, Cloud, Product/Platform); and Data (Foundation, Analytics, and AI/ML), and have deep expertise in BFSI, healthcare, and life sciences. Apexon is backed by Goldman Sachs Asset Management and Everstone Capital.
Similar Jobs
Lead Java Engineer | 8+ Year (Contract)
Top Benefits
About the role
Lead Java Engineer (Contract)
Experience: 8+ Years Location: Toronto, Canada Work Mode: Hybrid
Employment Type: 6-Month Contract (Extension up to 1 year possible based on individual performance and business requirements.)
Role Summary
We are looking for a Lead Java Engineer who thrives in ambiguous environments, enjoys building scalable platforms from the ground up, and delivers high-quality solutions at speed. This is a hands-on technical leadership role with strong architectural ownership, where you will design scalable systems while actively contributing to development. You will work at the intersection of backend engineering, edge computing, and AI/ML platforms, partnering closely with Data Science teams to build the foundation for trust-signal processing and machine learning inference.
Key Responsibilities
Design and develop end-to-end trust-signal processing solutions, including edge detection, ingestion APIs, processing pipelines, storage, and downstream integrations. Build scalable backend services using Java Spring Boot, including APIs, data processing pipelines, and core platform services. Architect edge-layer solutions across CDN and edge-computing platforms for low-latency signal capture and processing. Design secure integrations with third-party identity and trust providers using JWT validation, public-key caching, and deterministic signal ingestion. Develop platform capabilities that enable ML inference, including feature pipelines, structured data layers, and model registry integrations. Drive architecture and technology decisions across AWS infrastructure, storage, observability, reliability, and governance. Collaborate closely with Product, Data Science, and Engineering teams while rapidly prototyping and delivering production-ready solutions.
Required Qualifications
8+ years of experience building scalable distributed systems. Proven experience building greenfield applications and taking platforms from 0 to 1. Strong system design and architectural skills with the ability to translate business requirements into technical solutions. Comfortable working in fast-paced, evolving environments with high ownership.
Required Skills
Strong expertise in Java, Spring Boot, REST APIs, Microservices, and Event-Driven Architecture. Experience building AI/ML inference platforms, including data normalization, feature pipelines, or model-serving integrations. Hands-on experience with AWS (Compute, Storage, Networking, IAM). Experience with Edge Computing technologies such as Edge Workers, CDN Functions, Lambda@Edge, or similar platforms. Proficiency using AI-assisted development tools such as GitHub Copilot, LLM-powered workflows, or agentic coding assistants. Working knowledge of JavaScript/TypeScript for edge runtimes; Python experience is a plus.
Preferred Skills
Identity and security technologies such as JWT, JWS, OAuth 2.0, PKI, or token verification. Databricks or similar AI/Data platforms. Observability tools including distributed tracing, structured logging, and monitoring dashboards. Experience building multi-party integration platforms or network services. Open-source contributions or technical community involvement.
About Apexon
Apexon is a digital-first technology services firm specializing in accelerating business transformation and delivering human-centric digital experiences. We help customers innovate faster by leveraging our expertise in AI, analytics, cloud, data, DevOps, application development, quality engineering, and user experience across industries including BFSI, Healthcare, and Life Sciences. Backed by Goldman Sachs Asset Management and Everstone Capital, Apexon has a global presence with 15 offices and 10 delivery centers across four continents.
Our Commitment to Diversity & Inclusion
Apexon has been certified as a Great Place To Work® across the USA, India, the UK, and Mexico. We are committed to fostering an inclusive workplace where diversity is valued, and equal employment opportunities are provided to all qualified individuals.
Our Commitment to Environment
We actively support sustainable practices and encourage every employee to contribute to Apexon's environmental and ESG initiatives.
Benefits & Perks
Group Health Insurance for a family of four Term Life Insurance Personal Accident Insurance Paid Holidays & Earned Leaves Paid Parental Leave Learning & Career Development Programs Employee Wellness Programs Continuous Upskilling & Career Growth Opportunities
Not the right fit? Search for Java Engineer | 8+ Year jobs in Toronto, Ontario, Canada
About Apexon
Apexon is a digital-first technology services firm specializing in accelerating business transformation and delivering human-centric digital experiences. For over 27 years, Apexon has been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation. Our reputation is built on a comprehensive suite of engineering services, a dedication to solving our clients’ toughest technology problems, and a commitment to continuous improvement. We focus on three broad areas of digital services: User Experience (UI/UX, Commerce); Engineering (QE/Automation, Cloud, Product/Platform); and Data (Foundation, Analytics, and AI/ML), and have deep expertise in BFSI, healthcare, and life sciences. Apexon is backed by Goldman Sachs Asset Management and Everstone Capital.