Responsibilities:
Lead the design and development of sophisticated, high availability, and secured
server-side applications with a primary focus on Golang.
● Collaborate with cross-functional teams to understand requirements, architect
solutions, and deliver high-quality software products.
● Mentor and guide junior engineers, sharing your engineering expertise and best
practices to foster skill development within the team.
● Analyze and optimize performance, scalability, and reliability of existing Golang
applications, making strategic improvements where necessary.
● Design and implement automated unit and integration tests to ensure code quality,
maintainability, and stability.
● Stay up-to-date with the latest advancements in software technologies,
recommending their adoption when appropriate.
● Champion code reviews, architectural discussions, and technical documentation to
maintain high development standards.
● Troubleshoot and resolve complex issues, providing innovative solutions to overcome
challenges.
● Contribute to the recruitment and hiring process by participating in interviews,
evaluating candidates, and providing input on hiring decisions.
Requirements
Bachelor's or Master's degree in Computer Science, or a related field.
● 3+ years of experience in software development, with substantial experience in
Golang and cloud infrastructure.
● Expert-level proficiency in designing and developing high-performance, concurrent
applications with Golang.
● Experience with distributed systems, microservices architecture, and containerization
(e.g., Docker, Kubernetes).
● Solid knowledge of software testing methodologies and tools, including unit testing
and integration testing for Golang applications.
● Demonstrated ability to lead projects, collaborate effectively with teams, and mentor
junior engineers.
● Excellent problem-solving and analytical skills, with the ability to tackle complex
technical challenges.
● Having prior experience in the FinTech domain would be an added advantage.
PinnacleWorks is looking for a NodeJS Developer who is passionate about design, architecture, and programming. Responsibilities include implementing business logic and developing APIs & services. Your primary focus will be the development of all server-side logic, definition, and maintenance of databases, and ensuring high performance and responsiveness to requests from the front-end. If you are also passionate about Node.js and software design/architecture, we’d like to meet you.
What will you do?
Skills Required:
Data Strategy and Planning:
Collaborate with stakeholders to develop and implement data management strategies aligned with business objectives.
Define data standards, policies, and procedures to ensure consistent and accurate data collection and storage.
Data Collection and Integration:
Identify and assess various data sources, both internal and external, to gather relevant and reliable data.
Design and implement data collection methods and processes to ensure data is captured efficiently.
Oversee data integration initiatives to consolidate data from different sources into a unified database.
Data Quality Assurance:
Develop and enforce data quality standards to ensure the accuracy, completeness, and consistency of data.
Implement data validation processes and routines to identify and rectify data discrepancies or errors.
Database Management:
Maintain and optimize data storage systems, including databases, data warehouses, and data lakes.
Ensure data security and compliance with relevant data protection regulations.
Data Analysis and Reporting:
Collaborate with analysts to provide clean and structured data for analysis.
Assist in creating data visualizations and reports to communicate insights and findings to stakeholders.
Team Collaboration:
Work closely with IT teams, data scientists, analysts, and other stakeholders to define data requirements and resolve technical issues.
Provide guidance and training to team members regarding data management best practices.
Summary role description:
Hiring for Technical Lead - Full Stack for a global InsurTech SaaS product company
Company description:
Our client is a global digital SaaS platform InsureTech company headquartered in Silicon Valley providing omnichannel customer acquisition platform, Analytics powered customer engagement, services, and self-service portals and apps for agents as well as policyholders.
Role details:
Role & Responsibilities:
Candidate requirements:
Selection process:
Excellent knowledge of Unity, including experience with scripting, textures, animation, GUI styles, and user session management.
C# programming skills to write Scripts.
Familiarity with level design and planning.
Knowledge of with game physics and particle systems.
location : Ahmedabad
only work from office
face to face interview
urgent requirement
Responsibilities Description:
Responsible for the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Primary duties may include are but not limited to: Design machine learning projects to address specific business problems determined by consultation with business partners. Work with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users.
Experience Requirements:
BS/MA/MS/PhD in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics or related Quantitative disciplines. 2-4 years of experience in predictive analytics and advanced expertise with software such as Python, or any combination of education and experience which would provide an equivalent background. Experience in the healthcare sector. Experience in Deep Learning strongly preferred.
Required Technical Skill Set:
o Understanding of wide range of algorithms and their corresponding problems to solve
o Data preparation and analysis
o Model training and validation
o Model application to the problem