Technical Support

Position: iOS / Android Developer (Kotlin Multiplatform / Compose Multiplatform)

Location: Noida

Experience Required: 4+ Years

Joining: Immediate Joiner (Preferred)

Job Summary

We are seeking a highly skilled iOS / Android Developer with strong hands-on experience in Kotlin Multiplatform Mobile (KMM) and Compose Multiplatform (CMP) to join our mobile development team. The ideal candidate will be responsible for building and maintaining cross-platform mobile applications while ensuring high performance, scalability, and seamless user experience across iOS and Android platforms.

Key Responsibilities

• Design, develop, and maintain cross-platform mobile applications using Kotlin Multiplatform Mobile (KMM) and Compose Multiplatform (CMP).
• Build and manage shared business logic, networking, and domain layers across iOS and Android.
• Develop native components using Swift & iOS SDK and Android SDK as required.
• Integrate RESTful APIs, handle JSON parsing, and manage networking using Ktor.
• Ensure application performance, memory optimization, and effective debugging across both platforms.
• Collaborate closely with backend, Android, iOS, QA, and product teams to deliver high-quality solutions.
• Participate in code reviews, technical discussions, and architecture decisions.
• Manage app deployment processes, including App Store and Play Store submissions, certificates, signing, and provisioning profiles.
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Required Skills & Qualifications

• 4+ years of professional experience in mobile application development.
• Strong hands-on experience with Swift & iOS SDK and Android SDK.
• Mandatory hands-on experience with Kotlin Multiplatform Mobile (KMM) and Compose Multiplatform (CMP).
• Solid understanding of mobile app architectures such as MVC and MVVM.
• Experience with REST APIs, JSON parsing, and Ktor for networking.
• Good knowledge of performance optimization, memory management, and debugging techniques.
• Familiarity with app publishing processes, certificates, code signing, and provisioning profiles.
• Ability to work independently and deliver within timelines.
• Strong communication and collaboration skills.

Preferred Candidate Profile

• Immediate joiner or candidates available on short notice.
• Experience working in agile or fast-paced product environments.
• Strong problem-solving and analytical mindset.

AI Product QA Engineer

This is not the QA you know. We're not hiring someone to find bugs. We're hiring someone to guard the user's experience — with AI as the foundation.

Read this before you read anything else

Forget everything traditional QA taught you.

I don't want "I tested it, here are the 14 defects." I don't want a gatekeeper at the end of the line ticking checkboxes against a technical feature list. That QA is dead here, and honestly, AI already does it better.

I want business-product QA. Product taste as a discipline. User empathy as a test case. Your foundation is AI — everything runs through Claude Code / Codex — and on top of that foundation you apply QA from a business, user-empathy, onboarding, and go-to-market lens. You're not asking "does the button work?" You're asking "is this the sharpest user journey this product could possibly have?"

We're extreme about four things and nothing else: extreme hard work, extreme respect, extreme shipping, extreme innovation. Not hours . There's no boss — there's a product, a user, and you. You're rewarded on one thing: your hunger.

The 90 / 10

Same philosophy that runs this whole company. 90% of the work, AI does. Claude Code writes the test cases, automates the suites, drives the API calls, spins up the harness — faster than any QA team I've ever run . That 90% is the floor now.

The 10% is you — the human who decides what's actually worth testing and why:

• the user empathy — feeling the friction a real brand manager feels at 9pm
• the judgment — is this the sharpest journey, or just a working one?
• the taste — the design standard, the elegance, the delight
• the business sense — does this survive a real client's Tuesday, their onboarding, their objection?
• the critical eye — reading an AI trace and knowing instantly when the product is confidently wrong

AI didn't shrink QA. It concentrated it. The 10% is smaller and heavier than the 100% ever was. That's the 10% I'm hiring.

How you actually work

Everything you do runs through Claude Code. You write the cases in it. You automate the cases in it. You do business testing in it. You interrogate user empathy in it — "how will the user react to this, and is this the sharpest journey of the product?"

But make no mistake: this is technical QA. You write scripts. You hit and test APIs directly. You read the traces, the payloads, the failure modes. You don't wait for a UI to click — you go straight at the system. The difference from old-school QA isn't less technical; it's technical in service of the user and the business, not the feature checklist.

The stack & the surface

We're a web application in Python, Rust, and everything in between — and you'll be QA-ing across four products: ARIA, the Persona product, the video-decoding product, and the rest of the family. Real APIs, real pipelines, real agents watching millions of social videos in Hindi, Tamil, Bahasa, Thai for the world's biggest consumer brands . You need to be comfortable writing a script to probe any of them and reading exactly what came back.

Your first 48 hours

Day one, morning: you get access to a live product and its real client questions in the queue. Not a sandbox. Not a tutorial.

Day one, afternoon: you pick one user journey and, in Claude Code, you build the case, automate it, and pressure-test it against the actual experience a client would have.

Day two: you tell me not "here are the defects" but "here's where the journey breaks the user, and here's the sharper one." And you've already got the automated eval that guards it going forward.

If that scares you, this isn't your room. If it makes you grin — keep reading.

The loop

We are always on. A technique drops on Twitter Tuesday morning; by Thursday it's in a product; by Friday a brand team on the other side of the world is using it — and someone has to make sure that journey is delightful, not just functional. That someone is you. See it. Test it against the user. Sharpen it. Ship it. The loop never stops. If your learning lives in "read later" folders , this will break you.

What you own

The user's experience across every product. Not the defect list — the journey. Find a problem and you don't just log the instance; you build the automated eval in Claude Code that kills the whole class of bad experience forever. Your evals become the product's conscience. Your standard becomes the bar the whole team ships to.

The bar is craft, not years. 23 or 43 — I don't care. I care whether you can feel what a user feels and write the script that proves it.

Who this is actually for

This is a close-to-100% self-starter environment.

You do not want to be here if you want to be handed a test plan. You want to be here if you believe you're the only one who can guard this product's soul — the king or queen of the user journey — with absolute hunger burning in you to do it. Here, will is bigger than skill. And AI isn't a tool you use; it's the foundation you think on.

Fair warning ⚠

The pace is relentless and there's no playbook for AI-product QA — you're partly inventing the discipline as you go. If you want a stable checklist and a comfortable gate at the end of the pipeline, you'll be miserable here, and I'd rather you know now. But if you want to define what QA even means in the age of agents — what you learn here in one year, you won't learn anywhere else in five.

How this goes

Don't send a resume. Send the 10%.

An eval harness you're proud of. A test suite you built in Claude Code that caught something a checklist never would. A teardown of a product's user journey where your taste and your technical chops were unmistakably yours.

Work Location: Remote

Data Engineer 

Mandatory Requirements  

• Experience in AWS Glue 

• Experience in Apache Parquet  
• Proficient in AWS S3 and data lake  
• Knowledge of Snowflake 
• Understanding of file-based ingestion best practices. 
• Scripting language - Python & pyspark 

CORE RESPONSIBILITIES 

• Create and manage cloud resources in AWS  
• Data ingestion from different data sources which exposes data using different technologies, such as: RDBMS, REST HTTP API, flat files, Streams, and Time series data based on various proprietary systems. Implement data ingestion and processing with the help of Big Data technologies  
• Data processing/transformation using various technologies such as Spark and Cloud Services. You will need to understand your part of business logic and implement it using the language supported by the base data platform  

• Develop automated data quality check to make sure right data enters the platform and verifying the results of the calculations  
• Develop an infrastructure to collect, transform, combine and publish/distribute customer data. 
• Define process improvement opportunities to optimize data collection, insights and displays. 
• Ensure data and results are accessible, scalable, efficient, accurate, complete and flexible  
• Identify and interpret trends and patterns from complex data sets  

• Construct a framework utilizing data visualization tools and techniques to present consolidated analytical and actionable results to relevant stakeholders.  
• Key participant in regular Scrum ceremonies with the agile teams   
• Proficient at developing queries, writing reports and presenting findings  
• Mentor junior members and bring best industry practices  

QUALIFICATIONS 

• 5-7+ years’ experience as data engineer in consumer finance or equivalent industry (consumer loans, collections, servicing, optional product, and insurance sales)  
• Strong background in math, statistics, computer science, data science or related discipline 
• Advanced knowledge one of language: Java, Scala, Python, C#  
• Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, Amazon Web Services (AWS), Docker / Kubernetes, Snowflake   

• Proficient with 
• Data mining/programming tools (e.g. SAS, SQL, R, Python) 
• Database technologies (e.g. PostgreSQL, Redshift, Snowflake. and Greenplum) 
• Data visualization (e.g. Tableau, Looker, MicroStrategy) 
• Comfortable learning about and deploying new technologies and tools.  

• Organizational skills and the ability to handle multiple projects and priorities simultaneously and meet established deadlines.  
• Good written and oral communication skills and ability to present results to non-technical audiences  
• Knowledge of business intelligence and analytical tools, technologies and techniques. 

Familiarity and experience in the following is a plus:  

• AWS certification 
• Spark Streaming  
• Kafka Streaming / Kafka Connect  
• ELK Stack  
• Cassandra / MongoDB  

• CI/CD: Jenkins, GitLab, Jira, Confluence other related tools 

SA Role Summary:

The Solutions Architect is responsible for designing and leading the implementation of technology solutions that align with the organization's business goals and technology standards. This role involves working closely with both technical teams and business stakeholders to translate business requirements into robust, scalable, and secure technology solutions.

Key Responsibilities:

Solution Design and Architecture:

●      Develop and maintain a comprehensive understanding of the business processes and technology landscape.

●      Design holistic technology solutions that address business challenges and opportunities, integrating with existing systems and technologies where necessary.

●      Define and document architectural designs, including system components, functionalities, interfaces, and data flows.

●      Taking into account all pillars of the Well-Architected Framework (WAF) on AWS - including Scalability, Resiliency

●      Identifying reusable components in a project and working with the Backend team to generalize those components.

●      Amazon Web Services (AWS) Certification (Preferred)

Technical Leadership and Guidance:

●      Provide technical leadership and guidance to development teams throughout the implementation phase, ensuring adherence to architectural principles and best practices.

●      Evaluate and recommend technologies and tools for the effective development and management of solutions.

●      Ensure the implemented solution is in compliance with the designed architecture. Deviation from the architecture must be evaluated and agreed upon.

Stakeholder Engagement and Communication:

●      Collaborate with business stakeholders to understand their requirements and translate them into technical specifications.

●      Communicate complex technical concepts to non-technical stakeholders in a clear and concise manner.

●      Act as a liaison between technical teams and business units, facilitating understanding and alignment on project objectives and deliverables.

Project and Risk Management:

●      Participate in project planning activities, including resource allocation, timeline estimation, and risk assessment.

●      Identify potential technical and project risks and develop mitigation strategies.

Quality Assurance and Best Practices:

●      Ensure solutions are designed and implemented to high-quality standards, including performance, security, and scalability considerations.

●      Advocate for and ensure adherence to software development best practices, including code reviews, continuous integration, and automated testing.

Continuous Learning and Improvement:

●      Stay abreast of emerging technologies and industry trends, evaluating their applicability to organizational needs.

●      Promote a culture of continuous improvement, encouraging innovation and efficiency improvements in technology practices.

About TensorIoT

TensorIoT is an AWS Advanced Consulting Partner. We help companies realize the value and efficiency of the AWS ecosystem. From building PoCs and MVPs to production-ready applications, we are tackling complex business problems every day and developing solutions to drive customer success.

TensorIoT's founders helped build world-class IoT and AI platforms at AWS and Google and are now creating solutions to simplify the way enterprises incorporate edge devices and their data into their day-to-day operations. Our mission is to help connect devices and make them intelligent. Our founders firmly believe in the transformative potential of smarter devices to enhance our quality of life, and we're just getting started!

TensorIoT is proud to be an equal opportunity employer. This means that we are committed to diversity and inclusion and encourage people from all backgrounds to apply. We do not tolerate discrimination or harassment of any kind and make our hiring decisions based solely on qualifications, merit, and business needs at the time.

• Gather and evaluate user requirements in collaboration with product managers and engineers
• Illustrate design ideas using storyboards, process flows and sitemaps
• Design graphic user interface elements, like menus, tabs and widgets
• Build page navigation buttons and search fields
• Develop UI mockups and prototypes that clearly illustrate how sites function and look like
• Create original graphic designs (e.g. images, sketches and tables)
• Prepare and present rough drafts to internal teams and key stakeholders
• Identify and troubleshoot UX problems (e.g. responsiveness)
• Conduct layout adjustments based on user feedback
• Adhere to style standards on fonts, colors and images

Designation: Art Director

Department: Brand Marketing

Location: Bangalore

Qualification: Bachelor’s degree in graphic design, art, or similar discipline

Experience: 4+ years of relevant experience in creative roles at Ad agency, with an understanding of creative development and production.

Responsibilities:

1. Collaborate, brainstorm, and strategize with teams for a wide range of materials – be in ATL, BTL, internal, corporate or brand communication
2. Translate strategic direction into high-quality design within an established brand identity
3. Develop concepts by hand or with software, and execute original content determining ideal usage of colour, text, font style, imagery, and layout
4. Use trend intelligence and an understanding of the current and historical business and market to design and execute specific classifications
5. Develop innovative marketing experiences that help tell meaningful stories, which connect to users and communities to drive awareness and viewership of the brand.
6. Graphic and Layout design, End to End development of the set.
7. Create tailored content and conversations across each channel for total ecosystem engagement.
8. Effectively build and manage relationships with internal stakeholders, as well as talent.
9. Read, review and design content to identify the right content for videos.
10. Supervise projects, timelines and manage deadlines

Skills:  

1. Exceptional creativity and innovative design skills
2. Experience with design software, including Illustrator, InDesign, Photoshop, etc.
3. Proven experience with graphic design, with a strong portfolio of work
4. Excellent communication and presentation skills
5. Organizational and time-management skills for meeting deadlines in a fast-paced environment
6. Hands-on knowledge in creative skills like content, layout design, graphic design,
7. Excellent verbal and written skills and confident communication skills..

Salary: Upto 12LPA (Negotiable)

IMMEDIATE JOINING PREFERRED!

About us: Nexopay helps transforming digital payments and enabling instant financing for parents, across schools and colleges world-wide.

Responsibilities:

• Work with stakeholders throughout the organisation and across entities to identify opportunities for leveraging internal and external data to drive business impact
• Mine and analyze data to improve and optimise performance, capture meaningful insights and turn them into business advantages
• Assess the effectiveness and accuracy of new data sources and data gathering techniques
• Develop custom data models and algorithms to apply to data sets
• Use predictive modeling to predict outcomes and identify key drivers
• Coordinate with different functional teams to implement models and monitor outcomes
• Develop processes and tools to monitor and analyze model performance and data accuracy

Requirements:

• Experience in solving business problem using descriptive analytics, statistical modelling / machine learning
• 2+ years of strong working knowledge of SQL language
• Experience with visualization tools e. g., Tableau, Power BI
• Working knowledge on handling analytical projects end to end using industry standard tools (e. g., R, Python)
• Strong presentation and communication skills
• Experience in education sector is a plus
• Fluency in English