Senior Software Engineer - AI & Cloud Architect

ALLIANT CYBERSECURITY

Houston (TX)

On-site

USD 140,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Medical/dental coverage

401(k) matching

PTO

Life insurance

Onsite gym

Free parking

Job summary

alliantgroup, LP in Houston, TX is seeking a Senior Software Engineer to design, build, and enhance enterprise applications, AI-driven solutions, and cloud platforms. You will work across the SDLC with distributed teams in the US and India to deliver scalable, secure software.

The role emphasizes hands-on coding, architecture, and collaboration with product managers, AI specialists, data engineers, and stakeholders to translate complex business needs into robust technology.

Qualifications

Bachelor's degree in CS/SE or related field.
8+ years of professional software engineering experience.
Proven experience designing and building production enterprise software systems.
Strong software architecture and system design expertise.
Experience developing cloud-native, scalable applications.
Experience with AI-powered applications, data-intensive systems, or enterprise integrations.
Strong analytical, problem-solving, and communication skills.
Ability to collaborate effectively within distributed engineering teams.
Must be able to work onsite in Houston, TX five days per week.

Responsibilities

Design, build, test, deploy, maintain, and support scalable, secure, and well-documented enterprise applications and technology platforms throughout the software development lifecycle.
Translate business requirements into technical solutions and develop reusable applications, APIs, frameworks, and services while improving system performance, reliability, and security.
Design and document application and system architectures, lead architectural reviews, define integrations and data flows, and evaluate trade-offs related to scalability, performance, security, maintainability, and cost.
Design and implement AI-powered solutions leveraging generative AI, AI agents, machine learning, retrieval-augmented generation (RAG), large language models, Azure AI services, Azure AI Search, Semantic Kernel, and enterprise business systems.
Design and develop modern data architectures and pipelines supporting structured, unstructured, relational, graph, and vector-based data for AI and analytics solutions.
Ensure solutions meet security, scalability, reliability, fault tolerance, performance, and compliance requirements while proactively mitigating technical risks and vulnerabilities.
Mentor engineers, promote engineering best practices, collaborate with cross-functional teams, contribute to Agile delivery processes, and communicate technical plans, risks, and status to stakeholders.