Top 7 database developer Jobs in bangor, me

Senior Software Engineer
Tyler Technologies —Orono, ME
- $66,585 - $110,000 a year
- Computer science
- Computer Science
- 5 years
Quick Apply
QA Engineer (Remote)
Vector Airport Systems —United States
- $80,000 - $100,000 a year
- Full-time
- Remote
- Background check
- Azure
- 3 years
- AD&D insurance
- Disability insurance
8d

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Senior Software Engineer
Tyler Technologies —Orono, ME
Bachelor's degree in Computer Science, Computer Engineering, or related technical field, OR equivalent professional experience demonstrating expert-level…
$66,585 - $110,000 a year
Quick Apply
Senior DevOps Engineer – Data Engineering
innoVet Health, LLC —United States
This position works directly with US government contracts and under Order 11935, it requires either U.S. Citizenship or valid Green Card.
From $140,000 a year
Quick Apply
10d

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ETL & SQL Developer
Central Point Partners —Columbus, OH
Bachelor's degree in Computer Science, Information Systems, or related field or equivalent professional experience. 2+ years experience with C#.
Up to $95,000 a year
Quick Apply
IT Senior Software Engineer
PASONA N A, INC. —Columbus, OH
Degree in Computer Science, Computer Engineering, or related field. Experience with Microsoft tools/environments (SSRS, SSIS, Visual Studio).
$95,000 a year

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Senior Software Engineer

Tyler Technologies -
Orono, ME

Quick Apply

Job Details

$66,585 - $110,000 a year

Qualifications

Roadmap creation (System development task)
Containerization systems
Knowledge management
Performance tuning
Computer science
AI use case identification
Software engineering
Content creation for technical audiences
Computer Science
Continuous Delivery (CD) implementation
Managing projects in an engineering role
Product roadmapping
Tooling
Team leadership
5 years
Infrastructure as Code (IaC)
Large-scale organizational change management
Coaching
C#
System performance optimization
IT vision strategy
System design
Engineering process optimization
Git
Scalable systems
Quality assurance within IT
Technology security practices
Enterprise software systems development
Infrastructure architecture design
System design for system development

Full Job Description

The Development Enablement team is a new engineering group focused on streamlining the development experience, providing guidance, and addressing challenges in working with the technology stacks maintained by the departmental Architecture team. A Senior Software Engineer for this group will provide technical guidance and assistance to product engineers, identify and resolve development challenges, and champion best practices and technology adoption.

The ideal candidate is a technical leader responsible for setting best practices, establishing development standards, supporting/implementing system design decisions that impact team and organizational success, and identifies opportunities to leverage AI to improve development workflows. This role combines advanced technical expertise with technical leadership responsibilities, focusing on mentoring engineers, defining technical roadmaps, and ensuring delivery of high-quality, secure, and scalable software solutions.

Responsibilities

Define and establish technical standards from architectural guidelines
Build scalable, maintainable software systems
Drive adoption of emerging technologies, selected by leads
Mentor junior and mid-level engineers
Participate in hiring processes and technical interviews
Collaborate with leadership on technical roadmaps
Represent technical perspectives in strategic planning
Establish code quality standards and technical debt management within the team
Create technical documentation and knowledge-sharing resources
Collaborate with cross-functional teams
Identify opportunities to leverage Agentic AI to improve developer productivity, streamline engineering workflows, and enhance software quality
Guide engineering teams in the responsible adoption of AI-assisted development practices and tooling
Evaluate and implement AI-driven solutions that support development enablement, automation, and operational efficiency
Establish best practices for integrating Agentic AI into the software development lifecycle

Qualifications

Bachelor's degree in Computer Science, Computer Engineering, or related technical field, OR equivalent professional experience demonstrating expert-level programming competency and proven technical leadership capability
Typically 5+ years of professional software development experience with demonstrated progression to technical leadership roles
Proven track record of leading complex technical projects
Experience with large-scale system design and production system management
History of contributing to technical decision-making and establishing best practices
Technologies: Proficiency with C#, Angular, SQL, Linux, git, Docker, and AWS; or similar
Advanced Programming: Expert-level proficiency in multiple languages with deep ecosystem knowledge
System Architecture: Extensive experience with scalable, distributed systems and cloud-native patterns
DevOps & Infrastructure: Advanced CI/CD, containerization, orchestration, infrastructure as code
Performance & Scale: Application tuning, database optimization, caching, system scaling
Security & Quality: Deep understanding of secure development practices and quality assurance methodologies
Emerging Technologies: Active knowledge of industry trends and innovative practices
Technical Leadership: Proven ability to influence technical decisions and establish technical vision
Mentoring Excellence: Strong coaching skills with track record of developing engineers
Excellent Communication: Exceptional skills for technical documentation, presentations, cross-functional collaboration
Strategic Thinking: Balance technical considerations with business objectives
Change Leadership: Experience driving organizational change and technology adoption
Advanced Problem Solving: Complex technical and organizational challenge resolution
Agentic AI: Experience leveraging and creating AI-assisted development tools and agentic workflows to improve engineering efficiency, accelerate delivery, and support software quality initiatives
AI Governance & Enablement: Understanding of responsible AI adoption practices, including security, compliance, data privacy, and human oversight within engineering workflows

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