United States onlyAllata 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.
- Remain hands-on and contribute to implementation when needed, particularly on complex or high-impact technical areas.
Hard Skills - Must have:
- Experience leading engineers, owning architecture, or serving in a comparable technical leadership role.
- Expert-level experience with Angular and TypeScript.
- Strong experience with Java and Spring Boot.
- Solid experience with MongoDB and document-oriented data models.
- Strong understanding of event-driven architectures and AWS services such as SQS/SNS.
- Experience designing and working with distributed systems and microservices.
- Strong understanding of software architecture, API design, testing strategies, and engineering best practices.
- Demonstrated experience raising engineering quality through code review, technical standards, and development practices.
- Substantial hands-on experience with AI coding tools such as Claude Code, GitHub Copilot, Cursor, or similar.
- Ability to articulate the benefits, limitations, and trade-offs of AI-assisted development to both engineers and non-technical stakeholders.
Nice to have:
- Experience with Nx and monorepo architectures.
- Experience with AWS CDK.
- Experience with Buddy or similar CI/CD platforms.
- Experience facilitating Agile refinement and estimation sessions.
Soft Skills:
- Strong technical leadership and the ability to influence without relying solely on formal authority.
- Excellent communication skills, with the ability to translate complex technical decisions into clear recommendations.
- Strong ownership and accountability for technical outcomes.
- Pragmatic decision-maker who can balance technical quality, delivery timelines, and product priorities.
- Comfortable facilitating technical discussions and helping teams reach clear decisions.
- Strong mentoring and coaching mindset.
- Collaborative approach to working across teams and disciplines.
- Curious and proactive about emerging technologies and their practical application in software engineering.
- Able to identify risks early and communicate them clearly to technical and non-technical stakeholders.
At Allata, we value differences.
Allata is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Allata makes employment decisions without regard to race, color, creed, religion, age, ancestry, national origin, veteran status, sex, sexual orientation, gender, gender identity, gender expression, marital status, disability or any other legally protected category.
This policy applies to all terms and conditions of employment, including but not limited to, recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
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