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Python Developer with AWS

  • Toronto, ON, Canada

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Job details

Job type
Contract
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Experience
Experience Require : 10+ years
Posting language
English
Posted

Original job description

Experience Require : 10+ years

Project description

We are seeking a hands-on talent to support delivery within the Total Fund Management Portfolio Management Technology team. This role is suited for an experienced, self-directed individual who can operate with a high degree of autonomy, take ownership of outcomes, and deliver working solutions with minimal day-to-day oversight.

This is not a role for someone who requires detailed task breakdowns or constant direction. Once objectives and constraints are clear, you are expected to independently drive work to completion, proactively manage risks, and communicate progress effectively.

This role is opened for subcontractors.

Responsibilities

  • Own timelines and deliverables, proactively managing scope, dependencies, and execution risks
  • Independently frame, design, and deliver software solutions by engaging stakeholders, clarifying ambiguous requirements, and challenging assumptions
  • Build backend services and RESTful APIs aligned to those designs
  • Develop cloud-native applications (AWS preferred)
  • Implement workflow automation and data pipelines where needed
  • Contribute across the full software development lifecycle, including CI/CD
  • Ensure solutions are production-ready, including testing, documentation, and handover
  • Act as a reliable execution partner, proactively communicating progress, trade-offs, risks, and changes in expectations

Skills

Must have

  • Prior consulting, advisory, or client-facing delivery experience
  • Proven ownership and independent delivery without close supervision
  • Strong problem-solving skills, including the ability to frame and solve problems in ambiguous situations
  • Strong communication and stakeholder management skills, including proactive expectation management
  • Demonstrated adoption of AI-assisted engineering tools and practices as part of day-to-day software delivery
  • Strong Python experience in enterprise environments
  • Experience building RESTful services / APIs
  • Strong cloud experience (AWS preferred)
  • Experience with CI/CD pipelines
  • Strong unit and integration testing practices

Nice to have

  • Workflow automation experience
  • CI/CD tooling (e.g., GitHub Actions)
  • Workflow orchestration experience
  • Terraform (infrastructure as code)
  • Capital markets experience
More about this job

Responsibilities

Independently design and deliver backend services, RESTful APIs, cloud-native applications, workflow automation, and data pipelines, taking ownership of timelines, scope, dependencies, and execution risks. Contribute across the software development lifecycle, including CI/CD, testing, documentation, production readiness, handover, and proactive stakeholder communication.

Requirements

Requires 10+ years of experience, strong enterprise Python and REST API development experience, cloud experience (AWS preferred), and familiarity with CI/CD and testing. Candidates should also have client-facing delivery experience, demonstrate independent ownership and problem-solving in ambiguous situations, communicate effectively with stakeholders, and use AI-assisted engineering tools in day-to-day delivery.

Skills

  • Python
  • AWS
  • RESTful APIs
  • Backend Services
  • Cloud-Native Applications
  • CI/CD
  • Unit Testing
  • Integration Testing
  • Workflow Automation
  • Data Pipelines
  • Workflow Orchestration
  • Terraform
  • Stakeholder Management
  • Problem-Solving
  • AI-Assisted Engineering
  • Capital Markets

Visa sponsorship

Not detected in the job text

Categories

  • Software
  • Technology
  • Finance & Accounting
  • Consulting

Keywords

  • Python
  • AWS
  • RESTful APIs
  • Backend Services
  • Cloud-Native Applications
  • CI/CD
  • GitHub Actions
  • Unit Testing
  • Integration Testing
  • Workflow Automation
  • Data Pipelines
  • Workflow Orchestration
  • Terraform
  • Infrastructure as Code
  • AI-Assisted Engineering
  • Enterprise Software
  • Production Readiness
  • Stakeholder Management
  • Client-Facing Delivery
  • Consulting
  • Capital Markets
  • Total Fund Management
  • Risk Management
  • Subcontracting

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