Senior Software Engineer, C#

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Blend360

501 - 1000 employees

🏥 Healthcare

🏨 Hospitality

✈️ Travel

💰 $100M Private Equity Round on 2022-08

Healthcare • Hospitality • Travel

Blend360 is a professional services company specializing in AI, data analytics, and data-driven solutions. They work with Fortune 1000 and large enterprise brands to tackle significant challenges by integrating people and artificial intelligence. Blend360 focuses on several domains including business intelligence, data engineering, data science, MLOps, and data governance. Their industries of expertise encompass financial services, energy, healthcare and life sciences, retail, technology, media & telecom, and travel & hospitality. Blend360 is recognized for their AI and data solutions, having earned accolades such as "AI-Enabling Solution of the Year" and being listed among the "Top Generative AI Service Providers 2024.

📋 Description

• Contribute to engineering initiatives as a full software developer, delivering production-quality features and services • Write, review, test, and maintain clean, reliable, and scalable code using PRs, code reviews, and CI/testing • Provide internal developer support across tooling, libraries, standards, and patterns • Guide engineers on local development environment setup, Unix/Bash workflows, and day-to-day tooling • Advise teams on internal tools and frameworks, explaining technical trade-offs and recommending paths forward • Identify repetitive friction points and automate workflows through scripts, templates, and improved tooling • Embed AI know-how into the company’s AI coding tools, such as Claude • Contribute to infrastructure-as-code and internal platform efforts using Terraform, especially in AWS environments • Help teams make identity and security framework decisions, such as Okta and Auth0 • Establish clarity in ambiguous environments where documentation or standards do not yet exist

🎯 Requirements

• 5–6 years of professional software engineering experience • At least 5+ years of experience in data engineering or similar roles • Strong proficiency in .NET • Flexibility to work in languages outside the core stack when required • Strong software design and architecture skills • Ability to structure solutions, weigh trade-offs, and explain design decisions • Strong focus on testing within the development workflow • Ability to diagnose problems quickly, communicate trade-offs, and recommend solutions • Strong written and verbal communication skills • Coaching and mentoring mindset • Positive, collaborative attitude and openness to feedback • Proactive and independent approach to improving, automating, and simplifying work • Comfort switching between deep technical work and developer support • Excellent written and verbal English • Exposure to AWS architecture is nice to have, but not required

🏖️ Benefits

• Certifications in AWS, Databricks, and Snowflake • Access to AI learning paths • Study plans, courses, and additional certifications tailored to the role • Access to Udemy Business • English lessons • Travel opportunities to attend industry conferences and meet clients • Career development plans and mentorship programs • Special day rewards for birthdays, work anniversaries, and other personal milestones • Company-provided equipment • Flexible working options • Other benefits may vary according to location in LATAM

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