AWS Engineer

About Us:

We are a new, dynamic IoT solutions provider with a mission to empower Small and Medium Enterprises (SMEs) across Gujarat and India. We believe in the power of data to transform traditional businesses, making them more efficient, profitable, and sustainable. We are building a team of passionate, hands-on leaders to join us from the ground floor and build something remarkable.

​Job Summary:

You will build and manage the entire "digital" side of our solution. This role begins with configuring the on-site gateways to model and send data securely via MQTT. You will then build the "brain" on AWS, using the IoT suite to ingest, process, and store this data. Finally, you will turn this raw data into value by creating the powerful, intuitive dashboards our SME clients will use every day to make critical business decisions.

​Key Responsibilities:

• ​Gateway Configuration & Data Modeling: Remotely configure and manage IoT gateways. You will define the JSON data "payload" (data model) and ensure clean, tagged data is sent securely via MQTT to the cloud.
• ​AWS IoT Platform Management: Configure and manage AWS IoT Core, including device registration, security (certificates), rules engine, and MQTT message routing.
• ​Data Pipeline Development: Build a scalable data pipeline using AWS services (e.g., IoT Rules, Kinesis, Lambda functions, S3, and Timestream or DynamoDB) to process and store data.
• ​Dashboard & Visualization: This is your primary deliverable. Design, build, and maintain client-facing dashboards using tools like AWS Quicksight or Grafana.
• ​Data Analytics & Alerts: Implement rules and functions to generate real-time alerts (e.g., via SNS, email) and provide business insights.
• ​Collaboration & Problem Solving: Work seamlessly with the Hardware & OT Engineer to define data requirements and be the lead problem-solver for any data connectivity issues from the gateway to the cloud.

​Skills & Qualifications:

• ​Degree in Computer Science, IT, or a related field.
• ​Proven experience with the AWS ecosystem, specifically AWS IoT Core.
• ​Strong experience with data visualization tools, especially Grafana or AWS Quicksight.
• ​Deep understanding of MQTT protocols and JSON data structures.
• ​Experience with configuring IoT gateways (e.g., their software, edge logic) is highly desirable.
• ​Scripting/programming skills (e.g., Python or Node.js) for writing AWS Lambda functions.
• ​A logical mindset with a passion for turning complex data into simple, actionable insights.

​What We Offer You (Our Culture)

• ​Working Flexibility: We trust you to get your work done. We focus on results, not on rigid 9-to-5 schedules.
• ​Fair Compensation: We offer a competitive salary and benefits package that respects your skills and the market.
• ​Real Growth Opportunities: You are joining at the very beginning. You won't just do a job; you will help build the department. Your growth is tied directly to the company's success.
• ​Work-Life Balance: We are building a marathon, not a sprint. We actively work to create an environment that is more respectful of your personal time compared to traditional companies.

​What We Need From You (Our Expectations)

• ​Enthusiasm & Confidence: We need you to be passionate about what IoT can do for SMEs and confident in your ability to deliver.
• ​A Standalone Leader: You will have a high degree of autonomy. We need you to take ownership of your domain, make decisions, and drive results without waiting to be told what to do.
• ​Teamwork is Key: While you'll lead your area, you'll be working in a tight-knit team. You must be able to communicate clearly and "spice things up" with collaboration and shared problem-solving.
• ​Focus & Clarity: The ability to focus on the most important tasks and communicate with clarity is essential in a fast-moving startup.
• ​A Challenging Mindset: We want you to respectfully challenge our ideas (and us to challenge yours!) so we always find the best possible solution.

Job Types: Full-time, Permanent

Pay: ₹400,000.00 - ₹700,000.00 per year

Education:

• Bachelor's (Preferred)

Experience:

• AWS: 1 year (Required)
• AWS Lambda: 1 year (Preferred)

Work Location: In person