Lead Fullstack Engineer (Contract)

Embark on an exciting journey into the realm of software development with 3Pillar! We extend an invitation for you to join our team and gear up for a thrilling adventure. As a senior AI/ML engineer,  you will hold a crucial position within our dynamic team, actively contributing to thrilling projects that reshape data analytics for our clients, providing them with a competitive advantage in their respective industries.
If you are passionate about discovering solutions hidden in large data sets to improve business outcomes, consider this your pass to the captivating world of Data Science and Engineering!
Role: Lead Engineer
Work timing: Start at 2PM IST (Monday - friday, 8hrs a day)
Duration: 6 months
Key Skills: Backend heavy role: AWS with Lambda - this is a dealbreaker, Node.js - latest one, API’s, GitHub, Claude AI/GPT etc;  DB: SQL/ NoSQL
FE: JS + React, Typescript
Note: We are currently prioritizing partnerships Individual Freelancer or with companies that maintain in-house engineering teams.

Responsibilities:
Facilitate effective communication with client project stakeholders regarding project status and recommendations. Craft client code that is not just efficient, but also performant, testable, scalable, secure, and of the highest quality. Actively participate in accurate planning and estimation efforts, utilizing project methods and tools. Proficiently gather requirements and organize/present developed features for clients. Execute complex activities within the current methodology and quality standards, showcasing success across diverse engagements. Promote client success across the team by collaborating with engineers, designers, and managers to understand user pain points, anticipate potential problems, and iterate on solutions that drive client success. Engage in agile software development, including daily stand-ups, sprint planning, team retrospectives, and other governance activities. Actively participate in the Engineering Practice community, mentoring others through Communities of Practice (CoPs) or on project teams, and supporting the growth of technical capabilities. Independently drive project delivery within defined architecture, demonstrating autonomy and accountability in all stages from conceptualization to deployment.

Qualifications:
Minimum 8 years of experience/expertise in the following areas specified below: Design and implement scalable backend services and APIs using Node.js Utilize serverless services, namely AWS services such as Lambda, API Gateway, DynamoDB, or RDS for robust backend infrastructure Collaborate with cross-functional teams to define and execute on technical requirements Optimize system performance and troubleshoot complex issues Mentor and guide junior team members, fostering a culture of learning and growth Stay updated with the latest Node.js and AWS technologies to drive continuous improvement Experience in Agile software development methodologies. Expertise in applying Object-Oriented Programming principles (abstraction, encapsulation). High-level design proficiency following UML / C4 / ArchiMate. Experience in creating and implementing well-tested, scalable, and performant enterprise-level systems. Practice and initiative mentoring other engineers and decision-makers throughout the organization. Good understanding of SOLID principles. Familiarity with OWASP. Proficiency in the English language. Additional Experience Desired: Ability to optimize backend performance and troubleshoot complex issues. Familiarity with modern frontend build tools and CI/CD pipelines. Excellent problem-solving skills and a proactive attitude towards challenges. Strong verbal and written communication skills. Professional software engineering experience, working on multi-discipline teams Experience in backend development with expertise in node.js Proficiency in designing and implementing RESTful APIs and microservices architecture. Strong knowledge of AWS services like Lambda, API Gateway, DynamoDB/RDS, and S3. Experience with containerization using Docker and orchestration with Kubernetes (optional). Excellent problem-solving skills and a proactive attitude towards challenges. and Object-Relational Mappers (ORMs) Architectural (Microservices, Serverless etc) and Design (Factory, Singleton, Observer etc) Patterns Unit Testing