Engineering Manager (Python, React & AWS)

Worldwide | Feb. 6, 2026

Report as Closed

Company: Devsu

Salary: $0 - $0

Type: Remote

Employment: Full-time

Description: Build innovative digital products. A career that fits your calling and offers a new challenge every day.

With over 10 years of experience driving innovation for companies ranging from startups to large corporations in the United States and Latin America, Devsu has developed high-impact solutions in industries such as entertainment, banking, healthcare, retail, education, and insurance.

At Devsu, you'll work alongside top-tier professionals, with the opportunity for continuous learning and participation in challenging, high-impact projects for global clients. Our team is present in more than 18 countries, collaborating on a variety of software products and solutions.

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.

• 7+ years of professional software engineering experience, including 2+ years managing engineers and delivering user-facing products at scale.
• Track record leading distributed teams managing 5–8 engineers, including senior/staff ICs.
• 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.
• Ownership of a complex, business-critical production system, ideally in:
  • Data platforms or ETL pipelines
  • Distributed systems
  • ML / AI / LLM-powered products
• Demonstrated impact improving reliability, scalability, performance, or accuracy over time.
• Strong experience defining and evolving engineering processes, not just maintaining them.
• Track record of effective roadmap ownership with Product, including prioritization and trade-off discussions.
• Ability to coach senior engineers through architecture, design decisions, and technical leadership.
• Strong communication skills, especially around decision-making, risks, and trade-offs with both technical and non-technical stakeholders..

Nice to have:

• Background in data-heavy or AI/ML-driven companies.
• Experience working in teams with a strong reliability, observability, and incident-response culture.
• Familiarity with operating systems at scale with clear SLAs, SLOs, and error budgets.

With over 10 years of experience driving innovation for companies ranging from startups to large corporations in the United States and Latin America, Devsu has developed high-impact solutions in industries such as entertainment, banking, healthcare, retail, education, and insurance.

At Devsu, you'll work alongside top-tier professionals, with the opportunity for continuous learning and participation in challenging, high-impact projects for global clients. Our team is present in more than 18 countries, collaborating on a variety of software products and solutions.

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.

• Set a high technical bar, push senior and staff engineers to think more clearly about design and impact, and coach them through complex architectural decisions.
• Take ownership of decisions, communicate rationale clearly, and ensure the team delivers measurable improvements over time
• 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 maintai

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