Senior Staff Engineer for Artificial Intelligence and Machine Learning
Accellor
United States Full-time posted 2 days ago in I.T. & Communications-
Job ID 2115330
Job Description
At Accellor, we pride ourselves on being a premier consulting partner that leverages cutting-edge Cloud technologies to enhance customer engagement and boost business efficiency for our clients. With extensive expertise across diverse sectors including Financial Services, Retail, High Tech, and Healthcare, we are dedicated to delivering tailored solutions that drive success.
Our workplace is designed to foster curiosity, continuous learning, and resilience. We encourage our team members to pursue their passions and interests, promoting a culture of collaboration, autonomy, and empowerment. We recognize the dedication and pride our employees take in their work, and we seek individuals who are enthusiastic, proactive, and committed to creating optimal solutions while maintaining a holistic perspective.
In the role of Staff Engineer within our dynamic digital transformation agency, you will play a pivotal part in implementing impactful technical solutions for our clients. This position melds in-depth technical knowledge with direct client interaction, ensuring our solutions are in perfect harmony with the strategic objectives of our clients. You will work closely with internal teams and clients alike, providing valuable technical leadership and encouraging innovative, collaborative problem-solving.
Key Responsibilities:
- Architect, design, and develop robust software solutions tailored to meet both functional and non-functional client requirements.
- Serve as a trusted technical consultant, collaborating with clients to identify their challenges and converting them into actionable technical strategies.
- Work in tandem with product managers, architects, and fellow engineers to formulate cohesive project plans aligning with client and company goals.
- Act as a technical authority, establishing coding, design, and architectural best practices to ensure consistent excellence across all projects.
- Conduct comprehensive code reviews to uphold quality standards and mentor team members in maintaining high technical proficiency.
- Manage complex technical projects from conception to deployment, keeping clients apprised of progress, challenges, and proposed solutions.
- Proactively pinpoint opportunities for improvement in code, performance, and scalability, leading technical initiatives that provide additional value to clients.
- Guide and mentor junior and mid-level engineers, nurturing a culture of growth, teamwork, and technological expertise.
- Remain abreast of new technologies and industry trends, introducing innovative tools and methodologies that can enhance client satisfaction.
- Diagnose and resolve critical issues in both development and production environments, ensuring reliability and high availability of client deliverables.
Qualifications:
- Possess a Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline.
- Bring 10+ years of experience in software engineering, showcasing a successful history of designing, developing, and deploying software solutions.
- Exhibit proficiency in one or more programming languages such as Python, Java, C++, or Go, alongside familiarity with applicable frameworks.
- Demonstrate significant experience with cloud platforms (AWS, Azure, Google Cloud) and a comprehensive understanding of cloud-native application architecture.
- Showcase strong analytical and problem-solving skills to navigate complex technical challenges effectively.
- Have a proven track record in a client-facing capacity, with excellent communication and presentation abilities conducive to productive client interactions.
- Exemplify competence in leading large-scale projects that involve collaboration among cross-functional teams and client stakeholders.
- Possess experience in mentoring engineers to uphold quality standards and foster continuous improvement.
- Be knowledgeable about CI/CD processes, microservices architecture, and modern software development techniques.
Preferred Qualifications:
- Familiarity with Kubernetes, Docker, and related container orchestration tools.
- Understanding of DevOps methodologies and experience with infrastructure as code (IaC).
- Hands-on expertise in performance optimization and troubleshooting within complex production environments.
Please note that candidates must be located in the United States, preferably on the West Coast.
Our Benefits Include:
- Comprehensive Health Care Plan (Medical, Dental & Vision)
- Retirement Savings Plan (401k, IRA)
- Life Insurance (Basic, Voluntary & AD&D)
- Generous Paid Time Off (Vacation, Sick Days & Public Holidays)
- Parental Leave (Maternity, Paternity)
- Short and Long-Term Disability Coverage
- Ongoing Training & Development Opportunities
- Flexible Work From Home Options
- Access to Wellness Resources