Senior Software Engineer

Acosta

Senior Software Engineer enhancing and modernizing a Microsoft-based technology stack for multiple business teams. Collaborating with stakeholders to deliver technical solutions and support operations.

Posted 7/20/2026full-timeRemote • California • 🇺🇸 United StatesSenior💰 $120,000 - $140,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in .NET application development, SQL Server database management, and AI integration, with a strong focus on customer collaboration and effective communication. Capable of analyzing business requirements, troubleshooting legacy systems, and implementing AI solutions to enhance operational efficiency.

Highest-signal resume keywords

Modern .NET DevelopmentSQL Server Database ManagementAI/LLM API IntegrationBusiness Analysis and Requirements GatheringJavaScript UI Frameworks (React, Angular, Vue)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Application DevelopmentSQL Query OptimizationAPI DevelopmentDebugging Legacy SystemsAI-Assisted Development ToolsPrompt EngineeringData IntegrationCloud Application Services (Microsoft Azure)Technical DocumentationTroubleshooting Complex Issues

Soft Skills

Strong CommunicationAnalytical ThinkingCustomer FocusProactive AttitudeIndependent Work

Tools & Technologies

Microsoft AzureAzure OpenAIAI Tools for Code AnalysisSemantic SearchVector Databases

Industry Keywords

Enterprise ApplicationsBusiness Process ImprovementOperational WorkflowsIntegration SolutionsAI Solution Patterns

Tech Stack

Tools & technologies

AngularASP.NETAzureCloudJavaScriptMS SQL Server.NETReactSQLVue.js

About the role

Key responsibilities & impact

Design, develop, maintain, and support enterprise applications using modern .NET (.NET 9 and beyond)
Work directly with business users, customers, and stakeholders to understand requirements, clarify needs, and recommend practical solutions
Perform business analysis by documenting processes, identifying gaps, translating business requirements into technical specifications, and validating solutions with end users
Jump into existing and legacy .NET applications to troubleshoot production issues, analyze unfamiliar code, support integrations, and improve stability and maintainability
Debug complex application, data, integration, and configuration issues across legacy systems, APIs, SQL Server databases, scheduled jobs, and operational workflows
Work extensively with Microsoft SQL Server, including writing and optimizing SQL queries, views, stored procedures, and data fixes
Support and enhance existing database schemas, data integrations, reporting needs, and operational data flows
Build and maintain APIs and backend services that integrate internal and external systems
Develop, deploy, and support applications using Microsoft Azure development-related services, including Azure App Service and related cloud application services
Use AI-assisted development tools to accelerate research, code analysis, debugging, documentation, test planning, and solution design while maintaining sound engineering judgment
Work with AI/LLM APIs and services (e.g., Azure OpenAI or similar) to prototype and support lightweight AI-enabled features, integrations, or workflows
Understand and contribute to AI solution patterns such as prompt design, retrieval-augmented generation (RAG), and data grounding approaches, as applied to real business use cases
Evaluate practical AI use cases that can improve internal workflows, automate repetitive tasks, enhance knowledge retrieval, or support business users more effectively
Identify opportunities to modernize, refactor, and improve current solutions without disrupting business operations
Participate in technical discussions and help guide design and architectural decisions
Communicate clearly with engineers, business partners, customers, and stakeholders throughout discovery, development, testing, deployment, and support

Requirements

What you’ll need

Customer-focused and comfortable working directly with business users and stakeholders
Strong communicator who can explain technical issues clearly to both technical and non-technical audiences
Strong analytical thinker who can ask good questions, uncover root causes, and connect business needs to technical solutions
Comfortable debugging unfamiliar legacy systems, tracing data flows, reading existing code, and learning how older applications work
Curious and pragmatic about AI, with a working understanding of how AI/LLM-powered systems function (prompts, APIs, grounding, data flows) and the ability to identify where they can improve productivity, analysis, support, or solution quality without overcomplicating the architecture
Willing to challenge assumptions, call out risks, and propose practical alternatives
Strong sense of ownership and a proactive, can-do attitude
Able to balance production support, business priorities, technical debt, and new development
Strong independent worker who is ready to jump in and start contributing on a small engineering team
Experience with modern Javascript UI frameworks (React, Angular, Vue) and ASP.Net.
Hands-on experience with AI-assisted development tools, prompt engineering, LLM-based workflows, RAG concepts, or practical AI pilots that support software delivery or business operations
Experience using AI tools to analyze legacy code, summarize technical documentation, accelerate troubleshooting, generate test scenarios, or improve developer productivity
Exposure to AI-enabled knowledge retrieval, document search, semantic search, embeddings, vector databases, or chatbot-style solutions for internal business users
Ability to evaluate where AI can responsibly improve business processes, support workflows, data analysis, documentation, or operational efficiency
Familiarity with integrating AI capabilities into applications, automation workflows, APIs, or internal tools while considering accuracy, security, usability, and maintainability
Experience working with AI/LLM APIs (e.g., Azure OpenAI, OpenAI, or similar) to prototype or integrate AI capabilities into applications, automation workflows, or internal tools

Benefits

Comp & perks

Health insurance
401(k) matching
Flexible work hours
Paid time off
Professional development opportunities