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Software Engineer Manager Jobs in Chauvin, LA (NOW HIRING)

SLB

Well Testing Data Acquisition Engineer

Houma, LA · On-site

$110K - $132K/yr

Manage and operate pressure, temperature sensors, flowmeters biphasic and multiphasic using ... Experience with Helios System and wellbore data acquisition software * Skilled in surface wireless ...

Bollinger Shipyards

Mechanical Engineer

Lockport, LA

Mechanical Engineer Location:Lockport, LA Position Overview:An Mechanical Engineer is responsible ... software * Other duties assigned or requested by Management. Qualifications: 2+ years' working ...

Bollinger Shipyards

Mechanical Engineer

Lockport, LA · On-site

Job Title: Mechanical Engineer Location: Lockport, LA Position Overview: An Mechanical ... software * Other duties assigned or requested by Management. Qualifications: 2+ years' working ...

Bollinger Shipyards

Mechanical Engineer

Lockport, LA · On-site

Mechanical Engineer Location: Lockport, LA Position Overview: An Mechanical Engineer is responsible ... software * Other duties assigned or requested by Management. Qualifications: 2+ years' working ...

Gulf Island

Junior Project Manager

Houma, LA · On-site

... Engineering, Management or related field * Must be proficient in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook etc.) * Ability to learn project scheduling and project management software

Gulf Island

Junior Project Manager - Houma, LA

Houma, LA · On-site

... Engineering, Management or related field * Must be proficient in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook etc.) * Ability to learn project scheduling and project management software

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Software Engineer Manager information

See Chauvin, LA salary details

$90.1K

$153.3K

$181.5K

How much do software engineer manager jobs pay per year?

As of Aug 29, 2026, the average yearly pay for software engineer manager in Chauvin, LA is $153,311.00, according to ZipRecruiter salary data. Most workers in this role earn between $156,600.00 and $156,600.00 per year, depending on experience, location, and employer.

What is a software engineer manager?

A Software Engineer Manager is a professional who leads a team of software engineers, overseeing the design, development, and deployment of software projects. They are responsible for managing team performance, setting goals, and ensuring that projects are completed on time and within budget. In addition to technical expertise, they also handle hiring, mentoring, and career development of team members. Software Engineer Managers often collaborate with other departments to align technical solutions with business objectives. Their role combines leadership, project management, and deep technical knowledge.

What are the key skills and qualifications needed to thrive as a software engineer manager?

To thrive as a Software Engineer Manager, you need a solid background in software development, team leadership experience, and often a degree in computer science or a related field. Familiarity with project management tools (like Jira), version control systems (such as Git), and cloud platforms (e.g., AWS, Azure) is typically required, along with relevant certifications. Exceptional communication, problem-solving, and mentoring abilities help you build effective teams and drive project success. These skills ensure you can lead technical initiatives, foster collaboration, and deliver high-quality software solutions in dynamic environments.

What are some common challenges faced by software engineer managers when transitioning from an individual contributor role?

Software Engineer Managers often find the shift from coding-focused work to leadership responsibilities challenging. Instead of primarily writing code, their days are filled with mentoring team members, managing project timelines, and facilitating communication between technical and non-technical stakeholders. Balancing technical oversight with people management, and learning to delegate effectively, are critical skills to develop. Additionally, they must stay current with technology trends while focusing on team growth and performance.

What is the difference between Software Engineer Manager vs Software Developer?

AspectSoftware Engineer ManagerSoftware Developer
CredentialsBachelor's or higher in CS or related field; often leadership experienceBachelor's degree in CS or related field; coding skills
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersFocuses on coding, designing, and implementing software solutions
Industry UsageCommon in tech companies, startups, large enterprisesWidespread across industries, including tech, finance, healthcare
Search & Comparison IntentUnderstanding managerial roles, career progressionTechnical skills, coding responsibilities

The main difference between a Software Engineer Manager and a Software Developer lies in their responsibilities. The manager oversees teams, manages projects, and aligns technical work with business goals, while the developer primarily focuses on coding and building software solutions. Both roles require strong technical skills, but the manager also needs leadership and project management abilities.

What cities near Chauvin, LA are hiring for Software Engineer Manager jobs?

Cities near Chauvin, LA with the most Software Engineer Manager job openings:

Software Engineer Manager jobs near you
Infographic showing various Software Engineer Manager job openings in Chauvin, LA as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $153,311 per year, or $73.7 per hour.

Senior Machine Learning Engineer

Bollinger Shipyards

Raceland, LA

$99K - $136K/yr

Full-time

Re-posted 12 days ago

Bollinger Shipyards rating

6.5

Company rating: 6.5 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

Job description

Job Title: Senior Machine Learning Engineer

Location: Mulitple Locations

Position Overview:

The Senior ML Engineer is responsible for operationalizing machine learning and AI solutions into scalable, reliable, and production-ready enterprise systems. This role bridges data science, software engineering, and infrastructure disciplines to deploy, monitor, optimize, and support AI solutions that drive operational and business outcomes.

Key Responsibilities: 

•             Deploy, integrate, and maintain machine learning and AI solutions within enterprise workflows and operational systems

•             Design and develop scalable ML pipelines, feature stores, APIs, and model-serving infrastructure

•             Collaborate with Data Scientists to productionize models and improve deployment readiness

•             Monitor model performance, drift, availability, and reliability across production environments

•             Implement processes for model retraining, versioning, governance, and lifecycle management

•             Partner with Data Engineering teams to support feature engineering and data pipeline integration

•             Ensure ML solutions are secure, scalable, maintainable, and aligned with enterprise architecture standards

•             Support AI applications across forecasting, operational optimization, bidding, scheduling, maintenance, and automation use cases

•             Troubleshoot and resolve issues related to model deployment and operational performance

•             Contribute to ML engineering standards, best practices, and platform improvements

•             Document architecture, deployment processes, and operational support procedures

 

Qualifications: 

·       Bachelor’s degree in Computer Science, Software Engineering, Data Science, or related field

·       6–10 years in ML or software engineering

·       Strong Python and ML deployment experience

·       Experience with cloud ML systems

 

Skills: 

•             Experience with Azure ML, Databricks, ML Ops, or similar cloud AI platforms

•             Experience in manufacturing, industrial, operational, or engineering environments

•             Familiarity with large language models, Generative AI, and intelligent automation

•             Experience supporting enterprise AI applications integrated with ERP or operational systems

•             Knowledge of monitoring, observability, and model governance practices

•             Experience with Docker, Kubernetes, and infrastructure-as-code practices

Bollinger is an equal opportunity employer and is committed to providing employment opportunities to minorities, females, veterans and disabled individuals, and without regard to sexual orientation and gender identity. 

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