Summary
✨ AI‑Generated
Work as a hands-on Python developer within a portfolio-management technology environment. You will independently design and deliver software, build backend services and REST APIs, clarify ambiguous requirements, manage dependencies and risks, and take ownership of outcomes with minimal supervision.
Highlights
An autonomous software engineering role with ownership of delivery, architecture, stakeholder engagement, and backend development. The position offers substantial responsibility and the opportunity to work on portfolio-management technology.
Description
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
