Technical Support Manager

JobTitle : Mission Control Software Engineer – Java Backend

Experience : 4+ Years

Location : Bengaluru, Karnataka (On-site)

Employment Type : Full-time

Industry : Space Technology

🧠 Role Overview :

As a Mission Control Software Engineer – Java Backend, you will be a founding member of the Mission Control Software team. You will design and develop the backend core of a distributed, high-reliability system responsible for streaming, processing, and routing satellite data.

This role offers high ownership and the opportunity to directly influence system architecture as it evolves from a single-node deployment to a scalable multi-node system.

🛠️ Tech Stack :

Java 11+, gRPC, REST APIs, PostgreSQL, Docker, Linux, WebSockets, Git, CI/CD

⚙️ Key Responsibilities :

• Design, develop, and maintain backend services in Java (11+) for data ingestion, processing, and control workflows
• Build and enhance gRPC and REST APIs for internal and external system integrations
• Develop modular plugins and middleware for routing, persistence, and automation
• Work with PostgreSQL and other databases for structured and time-series data
• Collaborate with frontend teams to support real-time dashboards via WebSockets/event streaming
• Ensure system scalability, reliability, and observability through logging, metrics, and testing
• Contribute to containerized deployments (Docker) and CI/CD pipelines
• Write clean, maintainable, and well-documented code with strong test coverage

🧩 Required Skills & Experience :

• 4+ years of experience in backend or distributed systems development.
• Strong proficiency in Java (11+), including concurrency and networking concepts.
• Experience with frameworks like Spring Boot, Vert.x, or similar.
• Hands-on experience with gRPC and REST API design.
• Strong knowledge of SQL databases (PostgreSQL preferred) and schema design.
• Experience working in Linux environments, with Git and Docker.
• Familiarity with event-driven systems / messaging queues (Kafka, RabbitMQ, MQTT, etc.).
• Ability to design scalable architectures and write automated tests.

⭐ Good to Have :

• Experience with real-time systems, telemetry, IoT, or satellite systems
• Exposure to distributed systems / microservices / high-availability architectures
• Working knowledge of Python for scripting or integrations
• Experience with monitoring tools like Prometheus and Grafana
• Interest in hardware-software integrated systems

Senior Full-Stack Engineer — Backend-Focused

Remote · Platform Engineering · Full-time · 4–5 years experience

About the Role

We're a healthcare technology company building a multi-tenant case-management platform that orchestrates

complex clinical, payment, and communication workflows. You'll build backend services that power the product

— a TypeScript GraphQL API on Node.js, backed by PostgreSQL/Prisma and deployed on Google Cloud,

integrating a broad ecosystem of third-party healthcare, payment, and communication providers.

This is a senior, high-ownership role on a remote-first team. You'll design systems, lead complex integrations,

mentor engineers, and influence our architecture as we scale.

What You'll Do

• Design, build, and operate backend features on our Node.js + TypeScript platform using Express + Apollo

GraphQL in a modular-monolith architecture.

• Model and evolve a large, multi-tenant data layer with Prisma 7 on PostgreSQL (including read replicas),

with attention to performance, indexing, and data integrity.

• Build and harden third-party integrations — payments (Stripe, NMI), communications (SendGrid, Twilio),

CRM (HubSpot), scheduling (Calendly), and healthcare systems (Dosespot, pharmacy/consult-provider

APIs).

• Design event-driven and asynchronous workflows using Google Cloud Pub/Sub, scheduled jobs (App

Engine Cron), and Cloud Functions — for payment retries, follow-ups, escalations, and batch processing.

• Implement secure authentication and RBAC (Firebase Admin, JWT, OTP flows, granular permissions) in a

multi-tenant, compliance-sensitive context.

• Work with GCP services — App Engine, Cloud Storage, BigQuery, Document AI, Secret Manager — and

contribute to CI/CD via GitHub Actions and Prisma migration pipelines.

• Make full-stack changes when needed — wiring up the Vue 3 / Apollo frontend to ship a feature completely.

• Write robust tests with Vitest + Supertest and Firebase emulators; ensure reliability, observability

(Winston/Cloud Logging), and safe rollouts.

• Mentor engineers, lead design discussions, and own systems end-to-end in production.

What We're Looking For

• 4–5 years of professional backend or full-stack engineering experience, with a track record on

medium-to-large-scale production systems.

• Strong Node.js + TypeScript expertise and solid API design skills (GraphQL strongly preferred; strong

REST background welcome).

• Deep relational database experience — schema design, query optimization, migrations — ideally with

Prisma/PostgreSQL or comparable ORMs.

• Experience building and maintaining complex third-party integrations and webhook-driven systems,

including payments.

• Familiarity with cloud infrastructure (GCP preferred; AWS/Azure transferable), async messaging/queues,

caching (Redis), and CI/CD.

• Solid grasp of authentication, authorization (RBAC), and security best practices.

• Enough frontend competence to contribute to a Vue/React + GraphQL client when a feature demands it.

• Demonstrated ability to own systems independently, take responsibility for reliability and on-call quality,

and reason about scale and trade-offs.

• Excellent written and verbal communication — essential for our remote, async culture.

• Leadership qualities: you mentor others, drive technical design, and raise engineering standards.

Nice to Have

• Experience with Pub/Sub, BigQuery, Document AI, or other GCP-native services.

• Background in healthcare, fintech, or regulated/compliance-sensitive domains (HIPAA awareness a plus).

• Experience with multi-tenant SaaS architecture and data isolation.

• Familiarity with AI/LLM integrations (Claude, OpenAI, vector DBs like Pinecone).

• Experience scaling systems with rate limiting, observability, and performance tuning.

You're good. You know you're good. Your Dribbble has clean case studies, your Figma files are organized, your design system is tight.

And you're bored out of your mind.

Not because the work is easy. Because it doesn't matter. You redesign the settings page. Three stakeholders give conflicting feedback. You compromise on all of it. Ship something you'd never put in your portfolio. Wait for the next sprint.

You didn't get into design for this. You got into it because design isn't decoration. It's the product itself.

If that's still what you believe, keep reading.

The Problems We Haven't Solved Yet: We haven't figured everything out. That's the point. Here are real design challenges on our table right now, unsolved, waiting for someone good enough to crack them:

1. How do you design an AI learning experience that feels human? Our AI tutors adapt in real-time to how each learner thinks. But "adaptive" can easily feel robotic. How do you design an interaction where a machine is teaching but the learner feels understood? No one has solved this well at scale.
2. How do you make learning feel like a game without making it feel like a trick? Gamification in edtech is mostly badges and streaks. The real question: how do you design dopamine loops that make someone want to learn at 11 PM the way they want to scroll Instagram at 11 PM? Without dark patterns.
3. How do you build for a world of generative UI? When AI generates personalized content for every user, the UI can't be static. How do you design a system that's both coherent and infinitely variable? Figma components don't cover it. You'd be inventing the framework.
4. How do you create simulations where people learn by doing? Not watching videos. Not reading docs. Actually doing the work where mistakes are free and feedback is instant. How do you design the UX of "practice" at scale?
5. How do you design across modalities? WhatsApp bots, mobile apps, web platforms, AI-generated video. How do you create a design language that holds together across contexts this different, while feeling native to each?

If you read those five problems and felt your brain start firing, this role is for you.

The Honest Part: Our product today is not beautifully designed. Some of it is. A lot of it isn't.

That's exactly why we need you. Not in six months. Now.

We have 3 million+ learners across 64 countries. AI that genuinely works, personalization that's real (not a buzzword), and a product rated 4.8/5. What we don't have is a founding designer with the taste to make the experience match the ambition.

The gap between what our product does and how it feels is your canvas. It's enormous. And it's yours.

How You'd Actually Work Here:

Most JDs sell you a vision. Here's the reality.

• You'd talk to actual users. Not personas. Not filtered summaries. You'd call a learner in Pune who dropped off mid-course and find out why. Here, user research isn't a quarterly ritual. It's how you start every design decision.
• You'd see your impact. Fast. Ship something, it's in front of 3M+ users. You'll know within days whether it worked. Real data, real fast.
• Your bottleneck is you, not your team. Our devs read Figma files. The gap between what you design and what ships is small. The constraint is the quality of your thinking, not the capacity of the people around you.
• You'd have a voice in what gets built. You'd work directly with me and Gargi (co-founder) on what we build and why. Your perspective on the user experience shapes direction. Because a learning product where design doesn't drive direction doesn't work.
• Design is load-bearing here. A learning experience that feels clunky doesn't just look bad. It literally doesn't teach. Experience quality is the product.

The Specifics:

Role: Sr. Founding Product Designer (AI-First). Senior IC with high ownership & high influence. "Founding" means you'd shape the design culture, system, and standards for everything that follows. 

Experience: 4+ years in B2C product design. Edtech, gaming, or consumer apps where retention actually matters. A portfolio that shows design moving metrics, not just looking good.

You're the person if: • You can articulate a user problem before you draw a single frame • You're comfortable reading dashboards & making decisions from data, not just intuition • You write tight, clear design rationale that developers understand and trust • You thrive with ambiguity and ownership. Slow approvals frustrate you

Comp: Rs 18L-30L CTC + 0.01%-1.0% equity. The equity range is wide because we'll calibrate to what you bring. At our stage, this is real upside.

Location: Mumbai. In-office with WFH flexibility. Full-time.

The team: Google's Top 20 Startups to Watch. Google AI First Accelerator '24. Backed by funds of Naval Ravikant, Reid Hoffman, and founders/CXOs from Udemy, Flipkart, Jupiter, PayU, Edmodo & Inflection AI. Featured on CNBC-TV18. 11-50 people building something that changes how people learn, permanently.

Join Hutech Solutions – Innovate, Lead, and Transform!

We are a global AI-driven software services and product engineering powerhouse, founded and led by

visionary technology leaders from Walmart. We are redefining the future of technology by building

next-gen solutions that empower businesses across Banking, Finance, eCommerce, and Logistics

industries.

At Hutech, we don’t just build software—we create impact. Our culture fosters innovation, creativity,

and continuous learning, enabling our team to push boundaries and solve real-world challenges using

cutting-edge AI tools and techniques.

Position Summary

We are looking for a skilled Data Engineer with strong expertise in Amazon Redshift, advanced SQL,

and data modelling to design, build, and optimize scalable data platforms on AWS. The ideal

candidate will play a key role in developing reliable data pipelines, enforcing data quality standards,

and enabling analytics and reporting across the organization.

Key Responsibilities

● Design, build, and optimize data models (fact/dimension, star/snowflake schemas) with a

strong focus on performance and scalability.

● Develop and maintain complex SQL queries in Amazon Redshift for analytics, reporting, and

downstream consumption.

● Optimize Redshift performance using distribution styles, sort keys, query tuning, and workload

management (WLM).

● Build and orchestrate scalable data pipelines using AWS Glue, Amazon EMR, Apache Spark,

and Airflow.

● Implement data quality checks, validation rules, and monitoring frameworks to ensure

accuracy and consistency.

● Work closely with analytics, BI, and business teams to translate requirements into robust data

solutions.

● Manage and optimize data storage and movement using Amazon S3.

● Ensure best practices in data security, governance, and documentation.

● Troubleshoot data issues and provide root-cause analysis and long-term fixes.

Required Qualifications

● Bachelor’s degree in Computer Science, Engineering, or a related field

● 3–5 years of hands-on experience in data engineering

● Strong advanced SQL skills (mandatory) with deep experience in Amazon Redshift

● Proven expertise in data modeling for analytical workloads

● Strong understanding of AWS data services, including: Amazon Redshift, AWS Glue, AmazonS3, Amazon EMR

● Experience with data pipeline and workflow orchestration tools such as Apache Airflow

● Hands-on experience with Apache Spark

● Proficiency in at least one programming/scripting language such as Python, Java, or Scala

● Solid understanding of data quality, validation, and best practices

Nice to have

● Experience designing large-scale analytics and reporting platforms

● Familiarity with BI tools and downstream analytics use cases

● Experience with cost optimization and performance tuning on AWS

● Exposure to CI/CD for data pipelines

Key Skills

● Amazon Redshift (SQL – Advanced)

● Data Modeling (Analytics-focused)

● AWS (S3, Glue, EMR)

● Apache Airflow

● Apache Spark

● Python / Java / Scala

● Data Quality & Optimization

Date posted: January 22, 2026

Pay: ₹10,000.00 - ₹15,000.00 per month

Job description:

*Role Overview*

The Support Executive will act as the first point of contact for Jupsoft clients, providing prompt assistance, resolving day-to-day issues, and ensuring a smooth user experience with our ERP, CRM, and LMS products. The role requires excellent communication skills, problem-solving ability, and a strong customer-first approach.

*Key Responsibilities*

1. Handle customer queries via phone, email, chat, or ticketing system.

2. Provide timely solutions for user-level issues such as login, permissions, password resets, and navigation support.

3. Log, track, and close tickets while maintaining SLA compliance.

4. Escalate unresolved or complex issues to higher-level support when needed.

5. Maintain accurate documentation of issues and resolutions.

6. Assist clients in using ERP/CRM/LMS modules effectively.

7. Share product updates, FAQs, and knowledge base content with clients.

8. Contribute feedback on recurring issues to improve product quality and support processes.

*Requirements*

1. Proficiency in English (written and spoken).

2. Willingness for Travelling

3. Strong interpersonal and communication skills.

4. Ability to handle day-to-day client tickets with patience and empathy.

5. Customer-first attitude with focus on satisfaction.

6. Analytical and problem-solving skills.

7. Exposure to School ERP/CRM/LMS is an added advantage.

8. Required Experience- 1 year

Job Type: Full-time

Experience:

• Customer support: 1 year (Preferred)

Language:

• English (Required)

Willingness to travel:

• 50% (Required)

Work Location: In person

Company Profile:

We’re now looking for a passionate “/ReactJS Developer” who is willing to join us at an early stage and help us build a world-class product. 

Required Skills

• 2+ years of RELEVANT EXPERIENCE in ReactJS
• Strong Computer Science fundamentals - data structures and algorithms
• Strong understanding of ReactJS Ecosystem (State management, Component-based design, Hooks, Responsive design)
• Good with CSS (converting UI designs to code)
• Writing clean and maintainable code
• Proficient understanding of APIs and wiring them   
• Strong testing, debugging, and problem-solving skills
• Familiar with modern development practices - writing clean code, git versioning, understanding development workflows