Node.js Developer

About Asha Health

Asha Health helps medical practices launch their own AI clinics. We're backed by Y Combinator and recently raised an oversubscribed seed round from some of the best investors in Silicon Valley. Our team includes AI product leaders from companies like Google, physician executives from major health systems, and more.

About the Role

We're looking for an exceptional engineer to join our engineering team (currently 6 teammates). We're looking for someone who is an all-rounder, but has particularly exceptional backend engineering skills.

In this role, you will have the opportunity to build state-of-the-art AI agents, and learn what it takes to build an industry-leading multimodal, multi-agent suite.

Responsibilities

You'll wear many hats. Your responsibilities will fall into 3 categories:

Full-Stack Engineering (80% backend, 20% frontend)

• Lead the team in designing scalable architecture to support performant web applications.
• Develop features end-to-end for our web applications (Typescript, nodeJS, python etc).

AI Engineering

• Develop AI agents with a high bar for reliability and performance.
• Build SOTA LLM-powered tools for providers, practices, and patients.
• Architect our data annotation, fine tuning, and RLHF workflows.

Product Management

• Propose, scope, and prioritize new feature ideas. Yes, engineers on our team get to be leaders and propose new features themselves!
• Lead the team in building best-in-class user experiences.

Requirements

You do not need AI experience to apply to this role. While we prefer candidates that have some AI experience, we have hired engineers before that do not have any, but have demonstrated that they are very fast learners.

We prefer candidates who have worked as a founding engineer at an early stage startup (Seed or Preseed) or a Senior Software Engineer at a Series A or B startup.

Perks of Working at Asha Health

#1 Build cool stuff: work on the latest, cutting-edge tech (build frontier AI agents with technologies that evolve every 2 weeks).

#2 Surround yourself with top talent: our team includes senior AI product leaders from companies like Google, experienced physician executives, and top 1% engineering talent (the best of the best).

#3 Rocketship trajectory: we get more customer interest than we have time to onboard, it's a good problem to have :)

1. Java development knowledge is a must

1. Springboot preferred
2. 2.AWS exposure is a must
3. Engineering degree in Computer Science, Electronics and, Communication or Information Science.

1. Or MCA is agreeable.
1. Location: Bangalore

• 3 - 6 Years of Experience in Golang Development
• Understands requirements well and comes up with an efficient design
• Develops complex, well-backed and bug-free products.
• Estimates accurately.
• Takes well-reasoned tech decisions keeping in mind goals and trade-offs
• Become a go-to person in more than one area. Provide technical mentoring to team
• Communicates clearly, gets clarifications, and establishes expectations for all parties
• Helps establish SDLC best practices and high standards of code quality
• Demonstrates excellent problem solving & debugging skills
• Proactively identifies and resolves issues in requirements, design, and code

Ideal Candidate Profile:

• Solid experience in Golang is a must.
• Solid understanding of Apache Products.
• Should have experience in cloud computing (AWS is desired).
• Has an ability to quickly learn and contribute in multiple codebases
• Overcomes roadblocks and requires minimal oversight
• Takes initiatives to fix issues/tech debts before assigned to him/her
• Able to deep dive into the codebase and advise QA of possible regression impact
• Communicates tech decisions through design docs and tech talks
• Has delivered projects with end-to-end accountability
• Keeps track of industry trends and introduces the right tech/ tools for a given job
• Excellent understanding of software engineering practices,
• Design Patterns, Data Structures, Algorithms
• Experience in product-driven organization

Collabsports Technologies Pvt Ltd is a sports-tech startup based in Pune, India. We are a small team, passionate about Sports & Technology. Our product, Scorpad is a mobile app with a mission “Sporting Made Smarter”, helps athletes in recording, analysing & improving their game while collaborating with their friends and other like-minded athletes. For more information, visit https://scorpad.com">https://scorpad.com

You need to be passionate about technology with strong OOPS background.

Must have strong PHP skills with PGSQL/ MYSQL

Good understanding of MVC & API Development

Experience in Bootstrap, Symphony/ CodeIgnitor

Willingness to learn new technologies

You should have a desire to work in startup fast-paced environment, able to self-manage and work remotely, when required.

We are looking for a seasoned technology professional who can use their experience to build effective teams, high-performance culture, scalable processes and mentor aspiring talent. The candidate must be entrepreneurial, hands-on in technology, must have experience with design, development, and delivery of mobile apps, web applications and tech platforms, at scale. It is highly important for the candidate to have experience with eCommerce and is expected to have some experience in the retail sector, building technology systems and platforms.

The person is expected to be a technology leader with the capability of building and leading a high-performance engineering team.

Responsibilities

• Provide Technical authority in prospective meetings with other departments and provide guidance to developers
• Provide Hands-on Technical leadership, in the development, operation, and improvement of services
• Work with the wider team to ensure high-quality code is delivered in line with the project goals and delivery cycles
• Work with product managers to understand user needs for new/existing services
• Work closely with designers to deliver rapid prototypes as well as production code to ensure high accessibility standards are upheld. We expect familiarity with modern frameworks and languages, as well as best practices such as Clean Code, TDD, BDD, continuous integration, continuous delivery, and DevOps
• Attract, hire, retain and develop top-notch engineering/technology talent
• Implement technology product(s) as per the product requirements, using appropriate technologies
• The company’s tech-stack comprises Node.js (for Backend), MongoDB as the Database (MEAN stack), and Native App development (for iOS and Android)
• Communicate business goals to the engineers. Keep them focused on building the right product and in the right manner. Ensure that engineering is always adding business value and communicate this value to the business leaders
• Be an individual contributor if necessary. Engineering managers could spend ~20% of their time coding and contribute to the code base
• Perform regular code review of the code being developed by your team, to maintain the high quality of code

Qualification

• Computer Science & Engineering education/degree from an internationally recognized top technology institute or university
• 8-10 years of overall experience in the delivery of quality scalable and extensible software. Should currently be leading a team of top-notch developers as an Engineering Manager or Technical Architect.
• Experience of leading product development in B2C startups
• 4+ years of experience in architecting, designing, developing, and scaling high-quality mobile apps and end-to-end systems (consumer-facing and business-facing systems), under tight timelines and delivery pressure
• Experience with backend software development at a high scale. Experience with distributed systems, service-oriented architecture (SOA), and microservices design.
• Capacity to take the complete responsibility of developing and delivering a product-mobile apps and backend. Has good design sense. Has to experience with Node.js.
• Knowledge of new and cutting-edge technologies & tools. Experience working on complex projects having Analytics, Data-Science and Machine Learning components.