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Added 5 days ago
ST
AI Software Engineer
SS&C Technologies
Toronto, ON
- Full-time
Strong knowledge of REST APIs, microservices, and cloud-native technologies.
Added 5 days ago
Technology Lead
Infosys
ON
Integrate Gen AI solutions with cloud-native services (AWS Bedrock, Azure OpenAI, GCP Vertex AI).
Added 5 days ago
Technology Analyst
Infosys
ON
Integrate Gen AI solutions with cloud-native services (AWS Bedrock, Azure OpenAI, GCP Vertex AI).
Added 5 days ago
K
Senior Data Integration Developer, Fabric
KPMG
Toronto, ON · ON · Vaughan, Ontario
- Full-time
The Senior Data Integration Developer (Fabric) designs, builds, and supports secure, scalable data integration solutions for KPMG Canada’s internal clients through the Enterprise Analytics…
Added 5 days ago
GeoComply Graduate Rotational Program (Technology)
GeoComply
Vancouver, BC
☐ DevOps and Cloud Infrastructure: keeping everything running at scale
Added 5 days ago
GeoComply Graduate Rotational Program (Customer, Growth, and Operations)
GeoComply
Vancouver, BC
☐ DevOps and Cloud Infrastructure: keeping everything running at scale
Added 5 days ago
E
Kafka Platform Admin/Kafka Developer
Experis
Calgary, AB
- Contract
We are looking for an experienced Kafka Platform Administrator / Kafka Developer with strong expertise in Apache Kafka, Kafka on-premises and cloud environments, and Red Hat OpenShift…
Added 5 days ago
Senior Product Manager, Serverless Compute
Amazon
Vancouver, BC
…working on event-driven architectures that connect and integrate cloud-native systems at scale, workflow orchestration and durable execution for AI agents and distributed applications, or…
Added 5 days ago
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DevOps Engineer
TechDoQuest
Canada
- Full-time
…Fulfillment Services team, focused on infrastructure automation, cloud platform management, and CI/CD enablement. This role is ideal for a highly technical engineer with strong expertise in…
Added 5 days ago
TI
Kafka Platform Administrator
TEKFORTUNE INC
Calgary, AB
- Contract
We are looking for an experienced Kafka Platform Administrator / Kafka Developer with strong expertise in Apache Kafka, Kafka on-premises and cloud environments, and Red Hat OpenShift…
Added 5 days ago
S
Technical Support Engineer
Sidetrade
Remote, Canada
- Full-time
- Remote
Sidetrade (Euronext Growth: ALBFR.PA) is an AI-native company dedicated to Order-to-Cash (O2C). Its platform combines O2C applications, autonomous AI agents, and Aimie IQ, an intelligent…
Added 5 days ago
KG
.NET & SharePoint Integration Engineer
K&K Global Talent Solutions INC.
Quebec, QC
- Full-time
…Microsoft Graph, and enforcing clean architectural patterns across cloud-native…
Added 5 days ago
LS
Chief Information Officer
Leadership Source Inc.
Regina, SK
- Full-time
…enterprise transformations, including OSS/BSS, CRM, ERP, or cloud native modernization, is highly…
Added 5 days ago
Z
React Native - Mobile FullStack Developer
Zoho
Toronto, ON
- Contract
…customers. You will work across the entire stack, building React Native mobile applications and NestJS backend services while contributing to architectural decisions and raising the…
Added 5 days ago
LC
Director, Product Management (Payments)
Lightspeed Commerce, Inc.
Remote, Canada
- $220,000 to $250,000 CAD / year
- Full-time
- Remote
Integrated: Payments feel native across every surface and workflow.
Added 5 days ago
TR
Staff Software Engineer - II (KeyCite)
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
Strong experience with cloud-native architectures, preferably on AWS.
Added 5 days ago
Senior Customer Engineer, Named Enterprise - Montreal, QC
Cloudflare
Montreal, QC
…have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster…
Added 5 days ago
HS
Data Warehouse System Engineer
Hyve Solutions
ON · Ontario, Canada
- Full-time
…platform from a traditional Hadoop/Hive architecture to a modern cloud-native Lakehouse platform built on Apache Iceberg and object…
Added 5 days ago
HS
Site Reliability Engineer- EDI
Hyve Solutions
ON · Ontario, Canada
- $70,000 to $110,000 CAD / year
- Full-time
Exposure to cloud platforms and cloud-native operating practices.
Added 5 days ago
AI Engineer, Platform and Runtime
HS Financial Technologies
Halifax, NS
Experience with infrastructure as code, containerized workloads, and automated delivery using Terraform, AWS CDK, Docker, ECS, EKS, or comparable cloud-native technologies.
Added 5 days ago
S
Technical Support Engineer
Sidetrade
Calgary, AB
- Full-time
Sidetrade (Euronext Growth: ALBFR.PA) is an AI-native company dedicated to Order-to-Cash (O2C). Its platform combines O2C applications, autonomous AI agents, and Aimie IQ, an intelligent…
Added 5 days ago
NB
Chief Backend Developer
National Bank of Canada
Montreal, QC
- Full-time
A career as a Chief Backend Developer within the Platforms and Automation team at National Bank means acting as an expert in the design, development, and evolution of strategic backend…
Added 6 days ago
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Senior Full Stack Engineer
arcadia
Toronto, ON · Greater Toronto Area, Canada
- $200,000 to $250,000 CAD / year
- Full-time
Own cloud infrastructure and deployment workflows using Terraform, Terragrunt, and ArgoCD
Added 6 days ago
Z
React Native - Mobile FullStack Developer
Zoho
Toronto, ON
- Contract
…customers. You will work across the entire stack, building React Native mobile applications and NestJS backend services while contributing to architectural decisions and raising the…
Added 6 days ago
Z
React Native - Mobile Full Stack Developer
Zoho
Toronto, ON
- Contract
…customers. You will work across the entire stack, building React Native mobile applications and NestJS backend services while contributing to architectural decisions and raising the…

HS Financial Technologies

AI Engineer, Platform and Runtime

Halifax, NS, Canada

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Job details

Experience: 5+ years of software engineering experience, including at least 1 year delivering LLM or agent-based applications in production.
Posting language: English
Posted: Nov 2, 2026

Original job description

HS Financial Technologies (HSFT) is a global technology and fund administration partner to alternative asset managers, supporting more than $1 trillion in assets under administration. We serve private equity, private credit, hedge funds, endowments, and others with integrated technology, specialized expertise, and scalable operations.

Our proprietary platform connects data, workflows, and operations across the investment lifecycle, delivering the automation, transparency, and insights clients need to operate efficiently and grow with confidence. Combined with deep expertise across fund accounting, middle office, investor services, regulatory reporting, tax, risk, and front-office solutions, we help clients navigate complexity at scale.

More than 2,400 professionals across 14 global offices deliver the expertise, responsiveness, and consistency that have made HSFT a trusted partner to alternative asset managers worldwide.

At HSFT, we are committed to helping employees build meaningful, long-term careers through structured development programs, leadership opportunities, and clear paths for growth. Guided by our core values of Relationships, Support, Innovation, and Expertise, we foster a collaborative environment where people are empowered to learn, contribute, and succeed.

We offer flexible working arrangements, comprehensive health and well-being benefits, and a culture that invests in our people because they are the foundation of our success.

Founded in 2008 as HedgeServ, HSFT is recognized as a leading provider of alternative asset services, earning industry recognition across technology, accounting, client service, investor services, and regulatory expertise.

Department Overview

The AI Engineering team builds secure, reliable, and reusable AI capabilities for HS Financial Technologies' business and technology platforms. We partner across engineering, security, data, and operations to move solutions into production.

We integrate AI into existing workflows with a focus on measurable outcomes, production discipline, responsible AI, security, human oversight, and evidence-based evaluation.

Role Overview

As a Senior AI Platform and Runtime Engineer, you will build and operate HS Financial Technologies' shared AWS platform for AI applications and agents. AWS is the primary platform, while experience applying comparable patterns on other enterprise clouds is valued. You will own runtime infrastructure, identity and security, model and tool access, deployment, and reliability, delivering scalable capabilities and reusable standards for engineering teams.

Key Responsibilities

Design, build, and operate secure, scalable AI and agent platforms on AWS, applying relevant patterns from other enterprise clouds.

Own platform architecture across infrastructure, AI services, identity, networking, observability, and runtime operations.

Automate infrastructure and delivery using Terraform, AWS CDK, and CI/CD tooling.

Deploy and support production LLM and agent workloads using Amazon Bedrock and related AWS services.

Build resilient distributed systems using asynchronous processing, durable state, retries, idempotency, and recovery.

Own agent-runtime reliability, including scaling, performance, observability, service-level objectives, incident response, pause-and-resume recovery, and cost optimization.

Implement identity and authorization controls, least privilege, encryption, secrets management, and auditable data and tool access.

Govern model access, quotas, provider onboarding, evaluation, and lifecycle controls.

Partner with engineering, architecture, security, product, and business teams to establish reusable standards and patterns.

Required Qualifications

5+ years of software engineering experience, including at least 1 year delivering LLM or agent-based applications in production.

Demonstrated experience in cloud, platform, site reliability, or software engineering with responsibility for production systems.

Strong enterprise-cloud experience across identity, networking, compute, storage, and event-driven architectures. Hands-on AWS experience is preferred; deep experience with another enterprise cloud and the ability to transfer those skills to AWS are also valued.

Experience with infrastructure as code, containerized workloads, and automated delivery using Terraform, AWS CDK, Docker, ECS, EKS, or comparable cloud-native technologies.

Hands-on experience building or operating production LLM, generative AI, or agent applications using model APIs, structured outputs, tool integration, retrieval, or comparable patterns.

Experience designing or operating distributed systems with asynchronous processing, state management, retries, idempotency, resilience, and recovery.

Working knowledge of observability, incident response, cost management, and enterprise security practices.

Strong analytical, troubleshooting, communication, and collaboration skills, with the ability to work across technical and business teams.

Preferred Experience

7+ years of cloud, platform or software engineering, including substantial production AWS experience and responsibility for architecture. Strong knowledge of identity, networking, compute, storage and event-driven services.

Experience building shared platforms, internal developer products, APIs, SDKs, or reusable services for multiple engineering teams.

Experience leading architecture reviews, establishing technical standards, documenting platforms, or mentoring engineers.

Experience with agentic AI platforms, multi-agent systems, Model Context Protocol, or similar tool and context integration patterns.

Familiarity with OAuth 2.0, OpenID Connect, workload identity, Microsoft Entra ID, or comparable identity platforms.

Experience with AI governance, model evaluation, safety testing, policy enforcement, or lifecycle management.

Experience in financial services or another regulated environment with strong audit, privacy, security, and access-control requirements.

Relevant cloud, security, platform, or AI certifications, or equivalent practical experience.

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More about this job

Responsibilities

You will design, build, and operate a secure, scalable AWS platform for AI applications and agents. This includes managing platform architecture, infrastructure automation, and ensuring the reliability and performance of production LLM workloads.

Requirements

The role requires at least 5 years of software engineering experience, with specific expertise in delivering LLM or agent-based applications in production. Candidates must have strong experience with enterprise cloud platforms, infrastructure as code, and distributed systems.

Skills

AWS
Terraform
AWS CDK
LLM
Generative AI
Distributed systems
Site reliability engineering
Infrastructure as code
Containerization
Identity and access management
Observability
Python
Docker
EKS
ECS
Cloud architecture

Benefits

Flexible working arrangements
Comprehensive health and well-being benefits

Visa sponsorship

Not detected in the job text

Keywords

AI Engineer
Platform Engineering
AWS
LLM
Generative AI
Terraform
AWS CDK
Infrastructure as Code
Distributed Systems
Site Reliability Engineering
Containerization
Docker
EKS
ECS
Identity Management
OAuth 2.0
OpenID Connect
Observability
Financial Technology
Agentic AI
Multi-agent systems
Model Context Protocol
Cloud-native
CI/CD
Security
API
SDK
Performance Optimization
Incident Response
Governance

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