软件工程师 / 高级软件工程师
Software Engineer / Senior Software Engineer
我们是谁？
在Leadership Connect，我们认为关系在商业和生活中至关重要。由两位标普500公司前首席执行官和一位前总统新闻秘书创立，我们的顶级信息服务旨在建立影响政府、商业和媒体决策的关系。利用深入的研究专业知识和尖端技术，我们帮助客户在各个专业领域和垂直行业赢得业务并影响政策。我们是一个紧密合作的团队，致力于帮助每位用户产生影响。
Leadership Connect Canada（LCC）是Leadership Connect Inc.的子公司，是我们位于魁北克省的实体。此职位要求申请人居住并在魁北克省内工作。
职位介绍
我们正在寻找一名软件工程师或高级软件工程师加入我们的授权团队，帮助设计和构建支持Leadership Connect平台的应用程序和服务。
这是一个需要扎实软件工程基础，并享受解决后端服务、API、数据、搜索、云基础设施和分布式系统等产品和技术问题的实际操作岗位。
我们的环境包括Kotlin/Java、Spring Boot、Python、AWS、Elasticsearch和现代云原生技术。我们重视至少一个领域的深入专业知识、扎实的基础知识以及在不同技术间快速上手的能力。
我们还相信人工智能正在改变软件的构建方式。我们寻找能够使用现代AI编码工具和代理来显著提高生产力的工程师，同时保持强大的工程判断力和责任感。
岗位核心职责
设计、构建、测试、部署和维护生产应用程序和服务。
使用Kotlin/Java、Python、Spring Boot及相关技术开发设计良好的API和后端服务。
与关系型和非关系型数据库、搜索技术和大型数据集协作。
为运行在AWS上的分布式系统和微服务架构做出贡献。
参与整个开发生命周期：计划、设计、估算、实现、测试、部署和持续改进。
使用AI编码助手和代理加速研究、规划、开发、测试、调试、重构和文档编写。
对AI生成的实现进行批判性审查，并对质量、正确性、安全性和可维护性负责。
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Who are we?
At Leadership Connect, we believe that relationships are everything in business and in life. Founded by two former CEOs of S&P 500 companies and a former presidential press secretary, our premier information service is built for developing relationships that impact decisions in government, business, and media. Utilizing deep research expertise and cutting-edge technology, we help our clients win business and influence policy across various specialties and verticals. We are a close-knit team dedicated to helping each of our users make a difference.
Leadership Connect Canada (LCC), a subsidiary of Leadership Connect Inc., is our Canadian entity operating in the Quebec province. This opportunity requires an applicant to live and work within the Quebec province.
About the Role
We are looking for a Software Engineer or Senior Software Engineer to join our Entitlements Team and help design and build the applications and services that power the Leadership Connect platform.
This is a hands-on role for someone with strong software engineering fundamentals who enjoys solving product and technical problems across backend services, APIs, data, search, cloud infrastructure, and distributed systems.
Our environment includes Kotlin/Java, Spring Boot, Python, AWS, Elasticsearch, and modern cloud-native technologies. We value deep expertise in at least one area, strong fundamentals, and the adaptability to become productive across technologies.
We also believe AI is changing how software is built. We are looking for engineers who use modern AI coding tools and agents to significantly increase productivity while maintaining strong engineering judgment and ownership.
Core Functions of the Role
Design, build, test, deploy, and maintain production applications and services.
Develop well-designed APIs and backend services using Kotlin/Java, Python, Spring Boot, and related technologies.
Work with relational and NoSQL databases, search technologies, and large datasets.
Contribute to distributed systems and microservice architectures running in AWS.
Participate throughout the development lifecycle: planning, design, estimation, implementation, testing, deployment, and continuous improvement.
Use AI coding assistants and agents to accelerate research, planning, development, testing, debugging, refactoring, and documentation.
Critically review AI-generated implementations and remain accountable for quality, correctness, security, and maintainability.
Collaborate with engineers, product managers, and stakeholders to turn requirements into high-quality technical solutions.
Contribute to design discussions, code reviews, engineering standards, and development practices.
About You
2+ years of professional software development experience for mid-level candidates or 6+ years for senior-level candidates.
Strong computer science and software engineering fundamentals through a CS-related degree or equivalent professional experience.
Experience designing and building production web applications, APIs, or backend services.
Strong understanding of HTTP, REST, API design, relational databases, SQL, data modeling, and database design.
Strong proficiency in Kotlin/Java with Spring Boot or a comparable JVM framework, OR Python and its modern application ecosystem.
Willingness and ability to work across JVM and Python technologies as needed.
Experience writing maintainable, well-tested production software.
Strong debugging, problem-solving, and analytical skills.
Experience with Git and modern collaborative development workflows.
AI-Augmented Software Development
AI-assisted development is an important part of how we approach modern software engineering. We are particularly interested in candidates who meaningfully use tools such as Claude Code, OpenAI Codex, GitHub Copilot, or comparable coding agents in their regular workflow.
We want engineers who use AI to expand what they can accomplish while retaining responsibility for understanding and validating the result.
Use AI to understand unfamiliar codebases, research technologies, plan implementations, write and modify code, develop tests, debug problems, refactor systems, and automate repetitive work.
Critically evaluate AI-generated solutions, recognize incorrect assumptions, validate implementations, and know when direct engineering investigation is the better approach.
Experience with repository-level agent instructions, reusable agent workflows, MCP integrations, custom tooling, or agentic development processes is a plus.
Additional Experience We'd Value
Experience with some of the following is preferred; we don't expect every candidate to have all of them:
AWS
Terraform or other infrastructure-as-code technologies
Docker or other container technologies
CI/CD pipelines
Elasticsearch or other search technologies
Microservices and distributed systems
Event-driven architectures
Linux, command-line tooling, and Bash
Large-scale or data-intensive applications
For Senior-Level Candidates
Strong system-design and architectural judgment.
Ownership of systems from design through production.
Ability to evaluate scalability, reliability, performance, maintainability, security, and cost tradeoffs.
Ability to diagnose complex problems across distributed systems.
Ability to turn ambiguous requirements into clear technical approaches.
Thoughtful code and design review skills.
Ability to mentor engineers and improve team effectiveness.
What Is It Like to Work Here?
We foster an environment that encourages all our team members to excel by offering competitive compensation for top talent. We believe in creating a friendly and enjoyable workplace, with regular team-building events, happy hours, and more. Transparency is key within our company, and we hold monthly town halls led by our CEO to address questions regarding business plans, product direction, and company goals. In addition, we provide flexible PTO policies to ensure you can enjoy your time outside the office and focus on your personal life.
Are you ready to join our dynamic team and build meaningful relationships that make a difference? Apply today!
Benefits/Rewards:
Awesome Extended Health Care Plan
Dental Care
Life & Disability insurance
Health spending accounts
Unlimited Vacation Leave
12 Paid Holidays
$3,000 Employee Referral Program
Employer contribution to VRSP
Rewards and recognition programs
If you’re excited about this role but don’t meet 100% of the requirements, we still want to hear from you!
Leadership Connect is committed to building a diverse and inclusive workforce where unique experiences are valued and everyone has the opportunity to contribute. Research has continuously shown that women and people of color are less likely to apply for jobs unless they meet all of the listed qualifications. We want to help overcome this trend and seek to make space for unique and relevant skills and attributes. So, when applying to Leadership Connect we focus on evaluation based on key competencies needed for success in the position. We look forward to receiving your application!
Leadership Connect is committed to creating a diverse environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.