Development Manager

November 6

Apply Now

Receive Emails with Similar Jobs

CFRA Research

WebsiteLinkedInAll Job Openings

Finance • Fintech • Enterprise

CFRA Research is a global leader in delivering independent and unbiased investment research and financial intelligence solutions to clients worldwide. The company specializes in providing a comprehensive range of research services, including fundamental equity research, forensic accounting research, and public policy and legal research. Catering to a diverse clientele, CFRA serves wealth management firms, institutional investors, financial advisors, and self-directed individual investors by equipping them with the necessary data and analytics to navigate market cycles and make informed investment decisions. Notably, CFRA's award-winning technology and content delivery methods enable clients to integrate its insights seamlessly into their operations, ensuring flexible and cost-effective solutions across various platforms, such as web-based or API integrations. Their expertise spans consumer, energy, financials, healthcare, and technology sectors, among others, helping clients enhance portfolio performance and mitigate risks through high-quality research and data analytics.

51 - 200 employees

Founded 1994

💸 Finance

💳 Fintech

🏢 Enterprise

💰 Private Equity Round on 2023-01

📋 Description

• Ensure engineering team develops high-quality, high-performance, scalable applications using best practices and the latest generation of technologies • Work collaboratively with product, data, and technology stakeholders to refine roadmaps for technical solutions • Provide technical leadership to multiple teams throughout the project lifecycle • Mentor, grow, and work with a skilled team while shaping the future of our products and balancing headcount budget • Create and maintain a culture of continuous learning and improvement of both the engineering team and CFRA systems • Lead in planning, implementation, and optimization of CFRA’s AWS cloud infrastructure and other infrastructure related costs • Lead in building and maintaining of self-service Continuous Integration and Continuous Delivery (CI/CD) tooling to support configurations, deployment, monitoring, observability, and lifecycle management of a wide range of compute workloads and services • Work closely with solutions architects, application developers, and quality assurance testers to advocate a DevSecOps culture within the team • Plan and assist leadership in security and compliance audits • Ensure necessary system security by using best in class cloud security solutions • Lead automation initiatives across the team especially within the QA area • Stay current with new technology options and vendor products, evaluating which ones would be a good fit for the organization

🎯 Requirements

• Bachelor's degree in Computer Science, Information Systems or Engineering • A minimum of 15+ years of full stack development experience on enterprise web applications • A minimum of 10 years of experience leading an engineering team • Comprehensive experience with AWS toolkit including a solid understanding of CI/CD, Amazon S3, EC2, IAM, Lambda, Batch, Glue, API Gateway, Aurora/RDS, FSx, Cloud Formation, Route 53, etc • Experience with tools such as Jenkins, Artifactory, Terraform, etc. to build automation, CI/CD, Self-Service pipelines • Proficient in SQL and developing solutions using relational databases such as MySQL. • Proficient with software development lifecycle (SDLC) methodologies like Agile • Excellent analytical and communication skills are essential, with strong verbal and writing proficiencies • Ability to train and mentor • Experience leveraging AI tools and platforms to enhance engineering team productivity, code quality, and business problem-solving, including: • AI-powered code review and quality assurance tools (e.g., GitHub Copilot, CodeGuru, SonarQube AI features) • Intelligent project management and resource allocation using AI-driven analytics and predictive modeling • AI-assisted technical documentation generation and knowledge management systems • - Automated testing and deployment optimization using machine learning insights • - AI-driven talent development and skill gap analysis for team growth planning • **Desired Skills** • Experience with large language models (LLMs) and generative AI technologies, including integration patterns, prompt engineering, and RAG (Retrieval-Augmented Generation) architectures • Hands-on experience with AI/ML platforms and services such as AWS SageMaker, Bedrock, or similar cloud-based AI services; program certifications preferred • Experience implementing AI-powered features in financial applications, such as automated research summarization, document analysis, or intelligent data extraction • Great organizational and time-management skills • Ability to take complex technical concepts and communicate to technical and non-technical audience • Ability to juggle multiple projects, tasks, and deadlines • Acute attention to detail

🏖️ Benefits

• - 21 days of Annual Vacation • - 8 sick days • - 6 casual days • - 1 paid Volunteer Day • - Medical, Accidental & Term Life Insurance • - Telehealth, OPD • - Competitive pay • - Annual Performance Bonus • **