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Director Software Engineer Startup Jobs in Louisiana

EnvisionWare Inc

The AI-Directed Software Engineer designs and delivers software across thefull Cloud Nine stack - backend, frontend, native clients, and the infrastructure that runs them- by directing AI systems to ...

EnvisionWare Inc

The AI-Directed Software Engineer designs and delivers software across thefull Cloud Nine stack - backend, frontend, native clients, and the infrastructure that runs them- by directing AI systems to ...

Harris

Software Engineer

Iowa, LA · On-site

$80K - $90K/yr

GitHub Copilot, Claude, Cursor or ChatGPT) - Familiarity with AI directed prompt engineering for ... software engineering principles, design patterns, algorithms, and system architecture ...

Harris

$80K - $90K/yr

GitHub Copilot, Claude, Cursor or ChatGPT) - Familiarity with AI directed prompt engineering for ... software engineering principles, design patterns, algorithms, and system architecture ...

Enginuity Global

Lead Electrical Engineer

Baton Rouge, LA · On-site

$110K/yr

... the direct supervision of Enginuity Professional Engineers. This includes project management ... Site Acceptance testing / Commissioning / Startup supervision as required by the project. * Power ...

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Director Software Engineer Startup information

What does a director software engineer do at a startup?

A Director Software Engineer at a startup leads and manages the engineering team, overseeing the development and delivery of software products. They set technical direction, ensure best practices, and collaborate closely with founders and other departments to align technology with business goals. This role often involves hands-on coding, mentoring junior engineers, and making key architectural decisions. Directors at startups must be adaptable, balancing strategic planning with the fast-paced demands of startup growth.

What is the difference between Director Software Engineer Startup vs Lead Software Engineer?

AspectDirector Software Engineer StartupLead Software Engineer
ResponsibilitiesOversees multiple teams, strategic planning, and project alignmentLeads a specific team or project, technical mentorship
Required CredentialsBachelor's/Master's in CS or related, extensive experienceBachelor's/Master's in CS or related, strong technical background
Work EnvironmentStartup setting, cross-functional collaborationStartup or tech company, hands-on technical work
FocusStrategic leadership, team managementTechnical excellence, project delivery

The main difference between a Director Software Engineer Startup and a Lead Software Engineer lies in scope and focus. The Director typically manages multiple teams and handles strategic planning, while the Lead focuses on technical leadership within a specific team or project. Both roles require strong technical credentials, but the Director's role emphasizes leadership and organizational skills in a startup environment.

What are some common challenges faced by a director software engineer at a startup, and how can they be addressed?

As a Director Software Engineer at a startup, you may encounter challenges such as balancing hands-on technical work with managerial responsibilities, scaling the engineering team rapidly, and adapting to shifting business priorities. It’s important to establish clear communication channels, set achievable milestones, and foster a collaborative culture to keep the team aligned. Leveraging agile methodologies and regularly reviewing technical debt can help maintain product quality while meeting fast-paced deadlines. Building strong relationships with other departments, such as product and design, also ensures that engineering efforts are strategically aligned with the company’s goals.

What are the key skills and qualifications needed to thrive as a director software engineer at a startup?

To thrive as a Director Software Engineer at a startup, you need deep expertise in software architecture, coding best practices, and team leadership, often supported by a degree in computer science and significant engineering experience. Familiarity with agile methodologies, cloud platforms (such as AWS or GCP), and project management tools is typically required, along with experience in scaling systems. Exceptional communication, strategic thinking, and the ability to motivate and mentor a diverse team set standout leaders apart in this role. These skills are vital for driving innovation, ensuring technical excellence, and fostering a high-performing engineering culture in a fast-paced startup environment.
What are the most commonly searched types of Software Engineer Startup jobs in Louisiana? The most popular types of Software Engineer Startup jobs in Louisiana are:
What are popular job titles related to Director Software Engineer Startup jobs in Louisiana? For Director Software Engineer Startup jobs in Louisiana, the most frequently searched job titles are:
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Director Software Engineer Startup jobs near you

AI-Directed Software Engineer

EnvisionWare Inc

Full-time

Re-posted 2 days ago

Job description

Job Summary:

The AI-Directed Software Engineer designs and delivers software across thefull Cloud Nine stack - backend, frontend, native clients, and the infrastructure that runs them- by directing AI systems to do the bulk of the implementation work. You'll move ideas from concept to demo to production at high speed, decomposing problems into AI-executable tasks, steering and refining AI output, and owning the quality, performance, and customer impact of the result.
This is afull-stack role with a DevOps component. You won't be specializing in one layer. You'll own features end-to-end - from the database schema, through the Java services, through the Angular or React UI, and out through the Kubernetes deployment that ships them.
Operating in an AI-first environment, you'll push the organization from AI-assistedtoward AI-delegatedsoftware delivery.

Job Description:

Our Stack

You don't need to know all of this on day one, but you'll work across it:

Backend:Java, Maven, Jersey (JAX-RS), Jackson, Log4j, Tomcat

Frontend (Angular):Angular + TypeScript , PrimeNG, PrimeFlex, Transloco, DayPilot

Frontend (React):React, Vite, TypeScript, TailwindCSS

Data:PostgreSQL (runtime + analytics instances), direct SQL

Messaging:Apache ActiveMQ

Native client:C# / .NET Framework (Windows ZeroClient), WiX / MSI installers

Infra & DevOps:Docker, Kubernetes, AWS (CloudFormation, EFS, S3), Helm/Kustomize, multi-tenant cloud architecture

Analytics & tooling:Python ETL pipelines, Swagger / OpenAPI

Multi-module monorepo: WebServices (backend) WebApps (Angular) ReactWebApps (Vite/React) NativeClients (C#) Packages (Docker/K8s).

What You'll Own

End-to-end delivery of features from concept demo production, acrossbackend, frontend, and deployment

Directing AI tools to generate code, APIs, UI, SQL, infra config, and workflows

Decomposing product requirements into AI-executable tasks

Validation, testing, and hardening of AI-generated output

Kubernetes/Docker configuration and deployment of the services you build

Throughput and cycle time across your assigned workstreams

Continuous improvement of AI-driven development patterns, prompts, and tooling

How AI Changes This Role

AI is your primary implementation engine. You're not expected to hand-write every line of code across every layer of this stack - you're expected to direct AI to produce it. You'll use AI to generate Java services, Angular components, React UIs, SQL, Dockerfiles, and K8s manifests alike.

Every AI-generated output is astarting point, not a finished product.You own correctness, edge cases, security, and production readiness. The breadth of this stack is exactly why AI-directed development matters here: no single engineer can be a deep expert in Java, Angular, React, C#, PostgreSQL,andKubernetes - but one engineer directing AI across all of them can.

What We're Looking For

Strong software engineering fundamentals (APIs, distributed systems, debugging, data flows)

Full-stack breadth- comfortable moving between backend services, UI, and deployment config in the same day

Working familiarity withcontainers and Kubernetes(or willingness to ramp fast); can debug a failing pod, read a manifest, and ship a Helm change

Demonstrated experience using AI coding tools (Claude Code, Cursor, Copilot, or similar) to ship real work

Sharp eye for reviewing AI output - especially subtle correctness, security, or deployment issues

Comfort in fast, ambiguous, rapidly changing environments

Bias toward shipping working software over perfect design

Systems thinking - understanding how components interact at scale

Willingness to challenge both humanandAI-generated assumptions

Strong written communication - prompting is writing

Nice to have:Experience with Java/Jersey, Angular or React, PostgreSQL, AWS, or retail/POS domain.

What Success Looks Like (First 90 Days)

Ship multiple features from concept to demo-ready in 5 days each, touching backend, frontend,anddeployment where required

Demonstrate effective use of AI to produce production-quality code across the stack

Establish repeatable, documented workflows for AI-directed development

Measurably improve delivery speed and consistency across your workstreams

Validate and harden AI-generated output before it reaches customers

Help move the team from AI-assisted AI-directed development

Bottom Line

This is a full-stack + DevOps role, and that's exactly why AI makes it possible. If you can take an idea, direct AI across Java, TypeScript, SQL, and Kubernetes, and deliver something that works in days - this is the job.

Worker Type:

Regular

Number of Openings Available:    

1

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