Job description

Key Responsibilities: - Solution Deployment:Build, deploy, configure, and customize our software to meet client-specific use cases, ensuring seamless integration with existing systems and data sources. - Technical Problem-Solving: Troubleshoot and resolve complex technical issues on-site or remotely, often under tight deadlines, to ensure client success. - Client Engagement: Collaborate closely with clients to understand their operational challenges, workflows, and objectives. Translate these needs into technical requirements for our software platform. - Cross-Functional Collaboration: Partner with Augmented Strategists, backend engineers, and designers to relay client feedback and drive product improvements. - Continuous Improvement:Identify opportunities to optimize customer workflows, enhance platform performance, and deliver measurable value. Qualifications: - Education:Bachelor’s degree in Computer Science, Engineering, or a related field. - Technical Skills: - Proficiency in programming languages such as Python, Java, or JavaScript. - Experience with databases (SQL/NoSQL), APIs, and data integration tools. - Familiarity with cloud platforms (AWS, Azure, or GCP) is a plus. - Comfortable working with complex, large-scale systems and ambiguous technical environments. - Problem-Solving: Strong analytical skills with a knack for breaking down complex problems into actionable solutions. - Communication: Exceptional verbal and written communication skills, with the ability to explain technical concepts to non-technical stakeholders. - Adaptability: Thrives in fast-paced, ambiguous environments and can pivot quickly to address evolving client needs. - Travel: Willingness to travel to client sites as needed. - Experience: 4+ years of experience in software engineering, consulting, or a client-facing technical role. Prior experience in data-intensive environments is a plus. Preferred Qualifications: - Experience working in industries such as legal, government, or finance. - Familiarity with big data technologies (e.g., Hadoop, Spark) or machine learning frameworks. - Prior consulting or deployment experience in a SaaS or enterprise software environment.

Requirements