Senior Python/Aws Engineer

We are seeking a hands-on engineer to support delivery within the Total Fund Management Portfolio Management team with one of our clients. This role is suited for an experienced, self-directed software engineer who can operate with a high degree of autonomy, take ownership of outcomes, solve ambiguous problems, 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, communicate progress and trade-offs effectively, and manage stakeholder expectations. The Total Fund Management team supports the enterprise-level investment structure and processes for managing the clients portfolio. The team collaborates across investment, risk, and operations groups to integrate and optimize portfolio management workflows using modern, cloud-native technologies. The TFM PM Engineering team builds platforms and analytical capabilities that enable portfolio construction, monitoring, and decision-making at scale, supporting the long-term objectives of the fund.Responsibilities
Own timelines and deliverables, proactively managing scope, dependencies, and execution risksIndependently frame, design, and deliver software solutions by engaging stakeholders, clarifying ambiguous requirements, and challenging assumptionsBuild backend services and RESTful APIs aligned to those designsDevelop cloud-native applications (AWS preferred)Implement workflow automation and data pipelines where neededContribute across the full software development lifecycle, including CI/CDEnsure solutions are production-ready, including testing, documentation, and handoverAct as a reliable execution partner, proactively communicating progress, trade-offs, risks, and changes in expectationsRequirements
Prior consulting, advisory, or client-facing delivery experienceProven ownership and independent delivery without close supervisionStrong problem-solving skills, including the ability to frame and solve problems in ambiguous situationsStrong communication and stakeholder management skills, including proactive expectation managementDemonstrated adoption of AI-assisted engineering tools and practices as part of day-to-day software deliveryStrong Python experience in enterprise environmentsExperience building RESTful services / APIsStrong cloud experience (AWS preferred)Experience with CI/CD pipelinesStrong unit and integration testing practicesNice to have Workflow automation experienceCI/CD tooling (e.G., GitHub Actions)Workflow orchestration experience Terraform (infrastructure as code)Capital markets experience
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