Our client, an AI-powered financial technology company, is looking for an Engineering Manager. The company automates data extraction and financial modeling for investment professionals. They deliver accurate, auditable data and modern workflows to help analysts spend less time on rote work and more time on insight.

Responsibilities:

Lead, coach, and grow a distributed team of software engineers building production systems used daily by leading asset managers, hedge funds, and banks.
Own delivery for a set of product areas across our web app, Excel plugin, data extraction pipelines, and AI/LLM-enabled modeling features.
Partner with Product, Design, Data Science/ML, and GTM to define roadmaps, break down work, and ship iteratively with clear success metrics.
Establish engineering excellence: code quality, testing strategy, CI/CD, observability, incident response, and SLAs for reliability and latency.
Drive architectural decisions across Python/Django services, React front ends, and AWS-based data services centered on S3 and related primitives.
Guide the integration and safe operation of LLM features (prompt/version management, eval/guardrails, data privacy, cost/performance).
Ensure data accuracy and auditability standards are upheld across ingestion, normalization, and delivery, including source-linking for every datapoint.
Hire and develop talent; set goals, provide feedback, and create growth paths for engineers at multiple levels.
Champion an inclusive, async-friendly culture that supports teammates across time zones while maintaining high velocity.

Requirements

7+ years of professional software engineering experience, including 2+ years managing engineers and delivering user-facing products at scale.
Track record leading distributed teams and shipping iteratively in fast-paced environments.
Hands-on experience with Python (Django or similar web frameworks) and modern front-end development (React; TypeScript a plus).
Strong grasp of AWS fundamentals and operating production systems with S3-centric data storage, APIs, and background processing.
Fluency in software delivery practices: roadmapping, estimation, CI/CD, code review, testing strategies, and production operations/incident management.
Experience collaborating closely with Product and cross-functional partners to define scope, milestones, and success metrics.
Ability to make pragmatic architectural tradeoffs balancing speed, quality, cost, and risk.
Excellent communication skills tailored for async, written-first collaboration.

Nice to have:

Experience building AI/LLM-enabled features in production, including retrieval augmentation, prompt management, evaluation, guardrails, and cost optimization.
Background in financial data, investment research workflows, or document-heavy data extraction (e.g., SEC filings, investor materials).
Knowledge of data processing at scale (queues/streaming, batch processing) and service containerization/orchestration.
Exposure to security and compliance for enterprise customers (e.g., SOC 2) and data privacy best practices.

Benefits

At Devsu, we believe in creating an environment where you can thrive both personally and professionally. By joining our team, you’ll enjoy:

• A stable, long-term contract with opportunities for career growth

• Private health insurance

• A remote-friendly culture that promotes work-life balance

• Continuous training, mentorship, and learning programs to keep you at the forefront of the industry

• Free access to AI training resources and state-of-the-art AI tools to elevate your daily work

• A flexible Paid Time Off (PTO) policy as well as paid holiday days

• Challenging, world-class software projects for clients in the US and LatAm

• Collaboration with some of the most talented software engineers in Latin America and the US, in a diverse work environment

Join Devsu and discover a workplace that values your growth, supports your well-being, and empowers you to make a global impact.

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