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Juniper Square

Engineering Manager

Juniper Square

. Hire, onboard, and grow a squad of 5–7 engineers .

Posted 11/11/2026full-timeRemote • IndiaSeniorLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive experience in software engineering and team leadership, with a strong focus on managing engineering teams, executing technical designs, and improving data systems. Proficient in Python, React, and data-intensive applications, with a commitment to fostering team culture and collaboration.

Highest-signal resume keywords
12 Years In Software Engineering3+ Years Managing Engineering TeamsStrong Technical JudgmentExperience With Data-Intensive SystemsDaily Use Of AI Tools

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Python ServicesReact FrontendSQL-Heavy Data PipelinesData ModelingPerformance OptimizationFinancial Number CorrectnessSecurity StandardsTechnical Design ReviewIncident Response StandardsSprints Planning
Soft Skills
Clear CommunicationFeedback ProvisionTeam BuildingCollaboration
Tools & Technologies
RedshiftAI ToolsBI ToolsCloud Data Warehouse
Industry Keywords
Private Markets Domain KnowledgeFinancial ReportingInvestor ReportingDistributed Teams

Tech Stack

Tools & technologies
Amazon RedshiftCloudPythonReactSQLTypeScript

About the role

Key responsibilities & impact
  • Hire, onboard, and grow a squad of 5–7 engineers
  • Set the team’s standards, culture, and operating rhythm
  • Own execution of the web reporting roadmap from technical design through launch
  • Plan sprints, manage scope and dependencies, and deliver roadmap milestones
  • Build, review, and approve technical designs for the new reporting system
  • Lead technical direction across Python services, React frontend, and Redshift-backed data warehouse
  • Improve data modeling, performance at scale, financial-number correctness, and security
  • Use AI tools to increase team throughput and evaluate LLM use in reporting products
  • Collaborate with product, design, PDF Reporting, and data platform teams in North America
  • Maintain daily overlap with Pacific time and document decisions and status
  • Establish testing, observability, and incident-response standards
  • Run 1:1s, provide feedback, write performance reviews, and build career paths

Requirements

What you’ll need
  • 12 years in software engineering
  • 3+ years directly managing an engineering team of 5 or more
  • Track record of hiring, onboarding, and retaining engineers
  • Strong technical judgment across web applications and data
  • Ability to review Python services, React/TypeScript frontends, and SQL-heavy data pipelines
  • Experience with data-intensive or financial systems where numbers must be exact
  • Daily use of AI tools and experience bringing them into a team workflow, with specific results
  • Experience working with distributed teams, ideally with stakeholders in North America
  • Clear, direct written and spoken English
  • Bonus: private markets domain knowledge
  • Bonus: financial or investor reporting experience
  • Bonus: Redshift or similar cloud data warehouse, semantic layers, or BI tools
  • Bonus: production LLM feature experience, including evaluation and guardrails
  • Bonus: experience as the first engineering manager on a new team or in a new location

Benefits

Comp & perks
  • Fully remote work experience available
  • Flexible choice to work in a physical office some or all of the time
  • Digital-first operations
  • Collaboration across India, the United States, Canada, Luxembourg, and England
  • Opportunity to work with AI coding and design tools
  • Professional growth through 1:1s, feedback, performance reviews, and career paths