Software Engineering Manager

Allata is a global consulting and technology services firm founded in 2016, with 350+ employees across the US, India, and Argentina. We partner with some of the world's largest enterprises to move AI from idea to production — building intelligent agents, data foundations, and governance frameworks that scale.   Our teams work at the intersection of strategy, engineering, data, and design, helping clients modernize their technology, unlock data value, and create meaningful digital experiences. At Allata, you'll join an agile, cross-functional team that works closely alongside clients — making a real impact and building lasting partnerships. 

Allata is looking for a Software Engineering Manager to join a client product team and provide technical direction across a cross-functional engineering squad.

This role is ideal for an experienced engineer who enjoys staying close to the code while having a broader impact through architecture, technical standards, and team development. You’ll work closely with product and engineering stakeholders to turn complex requirements into well-structured solutions, anticipate technical risks, and create an environment where engineers can deliver high-quality software consistently.

The ideal candidate combines strong technical depth with leadership and communication skills, can make pragmatic architectural decisions, and is comfortable shaping how a team adopts emerging technologies—including AI-assisted development.

Responsibilities:

• Design and guide features across the frontend and backend architecture, ensuring solutions are scalable, maintainable, and aligned with technical standards.
• Partner with Product to break epics into well-scoped, estimable stories and identify cross-service dependencies and technical risks early.
• Lead code reviews and maintain a high bar for code quality, automated testing, API contracts, error handling, performance, and maintainability.
• Own and evolve shared frontend libraries and backend common components.
  Drive reliability and release safety, including observability, feature-flagged rollouts, database migrations, CI/CD, containerization, and cloud infrastructure.
• Help define and maintain engineering practices around AI-assisted development, including guidelines for AI-generated code, review practices, and appropriate use cases.
• Identify where AI tools can meaningfully accelerate development while ensuring their output meets the team's standards for quality, security, and maintainability.
• Mentor engineers through technical guidance, code reviews, architectural discussions, and knowledge sharing.
• Collaborate with other engineering squads to coordinate integrations, shared dependencies, and cross-team technical decisions.