Overview of the position

As a Staff Software Engineer at Enhesa, you will work as part of a team of talented Engineers building modern applications that deliver value with quality to our global customer base, which includes many Fortune 500 companies. You will play a pivotal role in shaping our technology and accelerating our progress toward SaaS excellence by championing best practices, mentoring engineers, and collaborating across teams. At Enhesa, we prioritize our people, trusting them to deliver and investing in their growth.

Core responsibilities

• Writes clean, maintainable code which sets the standard for other engineers in their team using AI tools to assist;
• Regularly delivers high-quality, working software as part of a software development team;
• Builds a deep, expert understanding of their team’s codebase;
• Provides highly insightful, comprehensive code reviews with an eye towards bigger-picture concepts;
• Ensures documentation exists for all critical systems and writes technical guides used widely by other engineers;
• Helps define SRE standards so that teams can effectively monitor their applications in production and respond quickly to incidents;
• Drives technical decision-making at a high level, expertly identifying trade-offs and risks and considering organization-wide technical alignment;
• Effectively diagnoses the root cause of complex bugs using deep knowledge of both code and infrastructure. Provides a fix along with an automated regression test;
• Helps to provide direction and vision to our technical improvements;
• Mentors, coaches and empowers other engineers. Shares knowledge regularly through demos and presentations;
• Evangelizes effective use of Claude Code and other AI tools to accelerate delivery and improve quality.

Education Level

Bachelor’s degree (or equivalent) in computer science or a related field.

Experience

At least 10 years working with .NET C#.

Required Technical Skills

• Expert (10+ years) C#.NET experience and expertise;
• Understanding of how to apply microservice architectures successfully, with expert knowledge of many patterns and techniques, including the tradeoffs of each. Experience working with microservices in more than one context;
• Significant (2+ years) experience with event-driven architectures and event streaming/messaging tools like Kafka (preferred), Pulsar, RabbitMQ, etc.;
• Experience using NoSQL databases - ElasticSearch (preferred), Dynamo, MongoDB, Redis, etc. Understanding of which database is best deployed depending on the use case.;
• Proven ability to identify opportunities for best practice improvements and drive change across multiple teams;
• Ability to tackle the most complex technical problems independently;
• Evidence of driving complex technical decisions involving multiple stakeholders in critical areas;
• Ability to pre-empt technical risks, raise awareness, and coordinate mitigation of the risk;
• Track record of quickly learning about complex architectures and code-bases and becoming an expert;
• Strong knowledge of deploying and scaling cloud applications, including use of containerization (Docker) and orchestration (Kubernetes);
• Experience working in an Agile environment;
• Technical leadership experience (3+ years), including mentoring other engineers. Examples could include leading projects or initiatives, leading a team, organizing engineering community events, etc.;
• Excellent understanding of how to deploy AI tools like Claude Code in their own work and across an Engineering organization.

Other Required Skills:

• Excellent communication skills. Able to communicate clearly and effectively, adjusting style depending on the audience;
• Able to work effectively as part of a team, contributing to the team dynamic and resolving conflicts constructively;
• Can quickly adapt and embraces change;
• Champion of continuous improvement;
• Shows initiative in tackling problems, executing pragmatically and making data driven decisions;