About this opportunity
Allata lists this Software Engineering Manager (Java + Angular) opportunity in dallas, Texas. Review the employer’s description below for duties, qualifications and application requirements.
Job description
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
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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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Worksite address
dallas, TX, 75215, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.