TopGrep Tech Private Limited

Employment Type: Full-time, Contractual

Contract Duration: 3–6 Months

Job Summary

We are looking for a skilled .NET Developer with strong experience in C#, ASP.NET Core,

Web APIs, and modern application development practices. The ideal candidate should have a

solid understanding of .NET fundamentals, dependency injection, middleware, action filters,

model binding, and application architecture.

Key Responsibilities

 Design, develop, and maintain scalable applications using .NET and ASP.NET Core.

 Develop and consume RESTful APIs and microservices.

 Implement Dependency Injection and follow SOLID principles.

 Develop and configure Middleware components for request processing.

 Implement and customize Action Filters for authorization, validation, logging, and

exception handling.

 Work with Model Binding, Validation, and API request/response handling.

 Optimize application performance and troubleshoot production issues.

 Collaborate with cross-functional teams in Agile environments.

 Participate in code reviews and follow coding best practices.

Mandatory Technical Skills

.NET & C#

 Strong knowledge of C# and .NET Framework/.NET Core.

 Good understanding of OOPs concepts and design patterns.

 Hands-on experience with Extension Methods.

 Understanding of Delegates, Events, Lambda Expressions, LINQ, and Async

Programming.

 Knowledge of IDisposable interface and Using Statement.

ASP.NET Core

 ASP.NET Core MVC

 ASP.NET Core Web API

 Dependency Injection (Singleton, Scoped, Transient lifetimes)

 Middleware Pipeline

 Action Filters

 Model Binding

 Authentication & Authorization

 Exception Handling and Logging

Database

 SQL Server

 Stored Procedures

 Query Optimization

 Entity Framework Core

Additional Skills

 REST APIs

 Git

 Azure DevOps / CI-CD

 Unit Testing

Preferred Skills

 Microservices Architecture

 Docker & Kubernetes

 Azure Cloud Services

 Messaging Services (RabbitMQ, Service Bus)

 Clean Architecture / Domain Driven Design

Interview Focus Areas

Candidates should be able to explain and demonstrate:

 Dependency Injection and service lifetimes (Singleton, Scoped, Transient)

 Middleware vs Action Filters

 Model Binding in ASP.NET Core

 Extension Methods

 IDisposable and Using Statement

 ASP.NET Core Request Pipeline

 REST API Design Principles

Key Responsibilities  

1. Maintain and enhance the Yocto BSP for the TechNexion PICO-IMX6 DualLite (NXP i.MX6) platform.
2. Assess and execute migration from Yocto Zeus to a newer LTS release (e.g., Dunfell/Kirkstone).
3. Integrate stable Linux kernel patches from NXP and mainline.
4. Optimize system boot time, startup sequence, and overall performance.
5. Remove unnecessary services and packages to reduce image footprint.
6. Update and stabilize the Bluetooth stack (BlueZ and firmware).
7. Optimize Linux kernel configuration, power management, and CPU tuning.
8. Debug CPU, memory, storage, and I/O performance issues.
9. Maintain Yocto layers, build process, and technical documentation.
10. Define and maintain eMMC/SD storage layouts for boot, rootfs, data, and update partitions.

Required Skills  

Mandatory

1. 5+ years of Embedded Linux development experience.
2. 2+ years of hands-on Yocto Project experience.
3. Strong expertise in:
4. Yocto (recipes, meta-layers, BitBake, bbappend)
5. Linux kernel configuration and patching
6. NXP i.MX6 or similar embedded platforms
7. Systemd optimization and boot profiling
8. Embedded Linux debugging (dmesg, perf, ftrace, systemd-analyze)
9. BlueZ and Bluetooth bring-up
10. Cross-compilation, toolchains, and Git workflows

Preferred

1. Yocto LTS migration experience.
2. U-Boot optimization.
3. Embedded power optimization.
4. Secure Boot and OTA update concepts.
5. Exposure to Qt-based embedded systems.

Key Deliverables  

1. Optimized and maintainable Yocto BSP.
2. Reduced system boot time.
3. Lean system image with redundant services removed.
4. Stable Bluetooth stack with updated patches.
5. Updated Linux kernel with critical fixes.
6. Documented Yocto layers and build process.
7. Migration plan for the latest Yocto LTS.
8. Defined storage partition layout for deployment.

Experience: 9+ Years in Embedded Linux (Minimum 5+ Years with Yocto)

Experience: 4–6 Years

Domain: Automotive IoT | Connected Vehicles | Firmware & OTA

Core Stack: Rust | AWS | IoT Core | Apache Kafka | MemoryDB

Key Responsibilities  

OTA & Firmware Lifecycle  

• Co-own OTA firmware rollout operations across multi-ECU connected vehicle architectures.
• Design automated mechanisms to detect update failures, network interruptions, verification errors, and stalled deployments.
• Implement deterministic retry, recovery, and rollback mechanisms to ensure reliable firmware updates without vehicle bricking.
• Ensure firmware package integrity, signature validation, and data security throughout the OTA pipeline.

Data Engineering & Telemetry  

• Design and maintain real-time streaming pipelines for vehicle telemetry, heartbeats, OTA campaign status, and ECU state changes.
• Build high-throughput data services and workers using Rust for payload routing, processing, and verification.
• Use Apache Kafka and AWS IoT Core for real-time data ingestion and event streaming.
• Leverage AWS MemoryDB for Redis for low-latency fleet state, campaign progression, and session management.
• Build resilient pipelines capable of handling intermittent connectivity, noisy networks, and out-of-order data.

Monitoring & Analytics  

• Build real-time dashboards for fleet health, firmware versions, OTA campaigns, and update progress.
• Define and monitor key OTA metrics including success/failure rates, retry rates, failure categories, and completion time.
• Implement automated alerting and anomaly detection for unexpected failure spikes during staged or canary rollouts.
• Analyze logs, traces, and telemetry data to identify campaign bottlenecks, telemetry loss, and hardware-related failures.

Required Skills  

Mandatory  

• 4–6 years of experience in Data Engineering, Software Engineering, or IoT Backend Engineering.
• Strong hands-on experience with Rust for backend/data processing applications.
• Experience with AWS, particularly IoT Core, S3, ECS/EKS, and Lambda.
• Strong experience with Apache Kafka and real-time data pipelines.
• Hands-on experience with AWS MemoryDB for Redis or Redis Enterprise.
• Working knowledge of Python and SQL.
• Experience with MQTT, WebSockets, and HTTP/S protocols.
• Strong understanding of distributed systems, streaming data, and resilient data pipelines.

Preferred  

• Experience with firmware lifecycle management and OTA systems.
• Exposure to connected vehicles, automotive IoT, telemetry platforms, or connected hardware fleets.
• Experience with device shadows and fleet/device state management.
• Experience building telemetry dashboards using Power BI, Apache Superset, or custom dashboards.
• Experience with staged/canary deployments and automated failure recovery.

Primary Technology Stack  

• Languages: Rust, Python, SQL
• Cloud: AWS, IoT Core, S3, ECS/EKS, Lambda
• Streaming: Apache Kafka
• Caching & State: AWS MemoryDB for Redis, Redis
• IoT Protocols: MQTT, WebSockets, HTTP/S
• Analytics & Visualization: Power BI, Apache Superset
• Domain: Automotive IoT, Vehicle Telemetry, OTA, Firmware Management

Key Responsibilities  

• Design, build, and optimize scalable data pipelines for AI/ML applications.
• Develop, train, evaluate, and deploy Machine Learning and Deep Learning models.
• Build production-ready LLM applications using Retrieval-Augmented Generation (RAG), prompt engineering, and vector databases.
• Fine-tune open-source and foundation models using domain-specific datasets.
• Develop and maintain end-to-end MLOps pipelines for model deployment, monitoring, and lifecycle management.
• Perform data preprocessing, feature engineering, exploratory data analysis (EDA), and model evaluation.
• Develop APIs and AI services for production deployment.
• Collaborate with cross-functional teams to deliver scalable AI-driven solutions.
• Monitor model performance, troubleshoot production issues, and maintain technical documentation.

Required Skills  

Mandatory  

• 1–3 years of experience in Data Science, Data Engineering, or AI/ML development.
• Strong programming skills in Python and SQL.
• Hands-on experience with Machine Learning frameworks such as PyTorch, TensorFlow, or Scikit-learn.
• Experience building LLM-powered applications using RAG, Prompt Engineering, and Embeddings.
• Hands-on experience with LangChain, LlamaIndex, CrewAI, or n8n for LLM orchestration and AI workflow automation.
• Experience in LLM fine-tuning and working with Hugging Face models.
• Knowledge of MLOps concepts including model deployment, monitoring, versioning, and CI/CD.
• Experience with Git, REST APIs, Linux environments, and data processing libraries.

Preferred  

• Experience with vector databases such as Pinecone, Chroma, Milvus, or Weaviate.
• Familiarity with Docker, Kubernetes, and MLflow.
• Exposure to Apache Spark or Airflow for data engineering workflows.
• Experience with cloud platforms (AWS, Azure, or GCP).

Primary Technology Stack  

• Languages & Data Processing: Python, SQL, Pandas, NumPy, Apache Spark
• AI & Machine Learning: PyTorch, TensorFlow, Scikit-learn
• Application Frameworks: LangChain, LlamaIndex, CrewAI, n8n
• Core Methodologies: Retrieval-Augmented Generation (RAG), Model Fine-Tuning, Prompt Engineering, Embeddings
• Models & Infrastructure: OpenAI APIs, Hugging Face Ecosystem, Embedding Models
• Vector Databases: Pinecone, Chroma, Milvus, Weaviate
• Databases: PostgreSQL, MongoDB
• MLOps & DevOps: Docker, Kubernetes, MLflow, CI/CD, Git
• Cloud Platforms: AWS, Azure, GCP

Experience: 1–3 Years

Domain: Data Science | Data Engineering | Machine Learning | Generative AI | MLOps

Key Responsibilities

• Maintain and enhance the Yocto BSP for the TechNexion PICO-IMX6 DualLite (NXP i.MX6) platform.
• Assess and execute migration from Yocto Zeus to a newer LTS release (e.g., Dunfell/Kirkstone).
• Integrate stable Linux kernel patches from NXP and mainline.
• Optimize system boot time, startup sequence, and overall performance.
• Remove unnecessary services and packages to reduce image footprint.
• Update and stabilize the Bluetooth stack (BlueZ and firmware).
• Optimize Linux kernel configuration, power management, and CPU tuning.
• Debug CPU, memory, storage, and I/O performance issues.
• Maintain Yocto layers, build process, and technical documentation.
• Define and maintain eMMC/SD storage layouts for boot, rootfs, data, and update partitions.

Required Skills

Mandatory

5+ years of Embedded Linux development experience.

2+ years of hands-on Yocto Project experience.

Strong expertise in:

• Yocto (recipes, meta-layers, BitBake, bbappend)
• Linux kernel configuration and patching
• NXP i.MX6 or similar embedded platforms
• Systemd optimization and boot profiling
• Embedded Linux debugging (dmesg, perf, ftrace, systemd-analyze)
• BlueZ and Bluetooth bring-up
• Cross-compilation, toolchains, and Git workflows

Preferred

• Yocto LTS migration experience.
• U-Boot optimization.
• Embedded power optimization.
• Secure Boot and OTA update concepts.
• Exposure to Qt-based embedded systems.

Key Deliverables

• Optimized and maintainable Yocto BSP.
• Reduced system boot time.
• Lean system image with redundant services removed.
• Stable Bluetooth stack with updated patches.
• Updated Linux kernel with critical fixes.
• Documented Yocto layers and build process.
• Migration plan for the latest Yocto LTS.
• Defined storage partition layout for deployment.

Experience: 5+ Years in Embedded Linux (Minimum 2+ Years with Yocto)

Key Responsibilities  

1. Define and own the end-to-end automation strategy for an Android-based Instrument Cluster (AOSP/Android Automotive).
2. Design, develop, and maintain automation frameworks for UI, Android system services, boot flows, OTA validation, and Hardware-in-the-Loop (HIL) testing.
3. Automate system validation for boot performance, crashes, ANRs, memory usage, CPU/GPU performance, thermal behavior, and application launch times.
4. Validate power consumption, UI responsiveness, frame rates, Bluetooth, Wi-Fi, and network recovery scenarios.
5. Develop automated validation for CAN signals, ECU interactions, vehicle state transitions, and safety-critical display behavior.
6. Automate OTA testing, including A/B updates, rollback, recovery, and post-update stability.
7. Convert field issues into regression automation suites and support root cause analysis using logs and system traces.
8. Integrate automation into CI/CD pipelines and deliver actionable test reports with regression tracking.

Required Skills  

Mandatory  

1. 7–12+ years of experience in Test Automation for Android or Embedded Systems.
2. Strong experience with Android AOSP or Android Automotive at the system level.
3. Excellent Python programming skills for automation framework development and CI integration.
4. Hands-on expertise with:
5. UI Automator (mandatory)
6. Espresso
7. Monkey / MonkeyRunner
8. Experience with Android debugging and performance tools such as Logcat, Perfetto, Systrace, Dumpsys, and Simpleperf.
9. Strong understanding of CAN, ECUs, vehicle signals, diagnostics, and embedded system validation.
10. Experience integrating automation into Jenkins or GitLab CI pipelines.
11. Working knowledge of Java/Kotlin for Android integration.

Preferred  

1. Experience with Hardware-in-the-Loop (HIL) testing.
2. Knowledge of Android CTS, VTS, GTS, and Android Test Station (ATS).
3. Experience with OTA validation, A/B update mechanisms, and recovery testing.
4. Working knowledge of Yocto is a strong advantage.

Primary Technology Stack  

1. Languages: Python, Java/Kotlin
2. Automation: UI Automator, Espresso, Monkey/MonkeyRunner
3. Android Testing: CTS, VTS, GTS, ATS
4. Performance & Debugging: Perfetto, Systrace, Simpleperf, Dumpsys, Logcat
5. CI/CD: Jenkins, GitLab CI
6. Domain: Android Automotive, Embedded Systems, CAN, ECU, OTA, HIL

Experience: 7–12+ Years

Domain: Android Automotive | Embedded Systems | Test Automation

We are seeking a Senior Android DevOps Engineer with 4+ years of specialized experience in mobile engineering pipelines. In this role, you will own, scale, and optimize our Android continuous integration and deployment (CI/CD) infrastructure. You will work closely with mobile development and QA teams to accelerate release cycles, ensure tight build security, and automate the journey from local code commit to the Google Play Store.

Key Responsibilities

1. ● Own CI/CD Infrastructure: Build, maintain, and scale robust mobile-specific CI/CD pipelines using platforms like Bitrise, GitHub Actions, or GitLab CI.
2. ● Automate Release Workflows: Design and implement end-to-end automation for Android builds (APK/AAB), test execution, and deployment using Fastlane and Gradle.
3. ● Manage Store Deployment: Oversee and automate app distribution via the Google Play Console, managing internal, closed testing, and production rollouts.
4. ● Secure Code Signing: Maintain the integrity of Android keystores, API keys, and certificates using secure secrets management tools.
5. ● Optimize Build Performance: Monitor and actively reduce build times, resolve dependency caching issues, and ensure infrastructure cost efficiency.
6. ● Quality & Observability Integration: Embed automated UI/unit testing (Espresso, Appium) and crash/performance tracking tools (Firebase Crashlytics, Sentry) directly into the pipeline.

Required Skills & Qualifications

1. ● Experience: 4+ years of dedicated experience in Mobile DevOps, Release Engineering, or Android Development with a heavy focus on infrastructure.
2. ● Build Systems: Deep, hands-on expertise with Gradle, ProGuard/R8, and the Android SDK.
3. ● Automation Tools: Advanced proficiency with Fastlane and scripting languages like Bash, Python, or Groovy.
4. ● Version Control: Solid understanding of version control best practices and Git branching strategies (e.g., Gitflow, Trunk-based development).
5. ● Problem Solving: Ability to diagnose and resolve build/environment issues independently.
6. ● Cloud & Containers: Solid understanding of Docker, cloud runners (AWS/GCP), and infrastructure as code.

Key Responsibilities

Data Modeling & Power BI Development

Design, develop, and maintain high-performance Power BI dashboards and reports.

Build robust, scalable data models using **advanced DAX (Data Analysis Expressions)** to implement complex business logic, time-intelligence calculations

Optimize existing reports and data models for speed, efficiency, and scalability.

Advanced Data Extraction & Transformation

Write, optimize, and debug **complex SQL queries** (including subqueries, CTEs, window functions, and advanced joins) to extract data from various enterprise data warehouses.

Ensure data integrity and consistency between source systems and front-end reports.

Required Technical Skills & Qualifications

Must-Haves (Non-Negotiable)

Power BI & DAX: Minimum of 1–3 years of hands-on experience building Power BI solutions. Deep understanding of evaluation contexts (Filter Context vs. Row Context) and complex DAX functions (CALCULATE, FILTER, ALL, EARLIER, and time-intelligence).

Expert SQL Skills: High proficiency in writing complex, optimized SQL queries. Must be comfortable handling large datasets, writing Common Table Expressions (CTEs), utilizing window functions (RANK, LEAD/LAG, PARTITION BY), and analyzing query performance.

Nice-to-Haves

Data Modeling: Strong understanding of relational database concepts, star/snowflake schemas, and data normalization/denormalization.

Familiarity with cloud data platforms like Snowflake, Azure Synapse, or AWS Redshift.

Basic knowledge of Python for data manipulation.

Soft Skills & Core Competencies

Problem-Solving: A natural curiosity to dig into data anomalies and find the root cause of discrepancies.

Communication: Ability to explain complex technical data constraints to non-technical business users clearly.

Attention to Detail: Precision in data validation to ensure business decisions are made on 100% accurate reporting.

Job Title: 

Role Overview

We are seeking a high-performing Senior Power BI Analyst / Developer to design, build, and optimize our next-generation enterprise analytics platform. In this role, you will be the core architect of our data visualization layer, turning complex data streams into actionable executive insights.

The ideal candidate bridges the gap between traditional business intelligence and modern cloud data engineering. You will be responsible for building highly performant, scalable data models on Azure and creating seamless, near real-time reporting solutions utilizing streaming data and Change Data Capture (CDC) pipelines.

Key Responsibilities

1. Advanced Data Modeling & Performance Tuning

Design, implement, and maintain enterprise-grade, highly scalable data models (Star and Snowflake schemas) within Power BI and Azure Analysis Services/Fabric.

Optimize complex DAX queries, M code, and data loading processes to ensure sub-second dashboard responsiveness on large-scale datasets.

Implement advanced performance-tuning strategies, including aggregations, incremental refreshing, and hybrid tables (combining Import and DirectQuery).

2. Streaming Analytics & Real-Time Reporting

Architect and implement near real-time dashboards utilizing Power BI streaming datasets, push datasets, and automatic page refreshes.

Integrate reporting front-ends with modern Change Data Capture (CDC) architectures to surface low-latency transactional updates.

Partner with data engineering teams to ingest and model fast-moving event data coming from cloud streams into analytical reporting structures.

3. Azure Architecture Integration

Leverage the Azure data stack (Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure Databricks, and Azure SQL DB) to build robust downstream reporting layers.

Participate in the orchestration of data pipelines (using Azure Data Factory or Synapse pipelines) to align with dashboard refresh schedules.

Embrace modern Power BI developer workflows using Tabular Editor, ALM Toolkit, DAX Studio, and Git integration for version control.

Required Technical Skills & Qualifications

Experience: 3-5+ years of dedicated experience developing, modeling, and tuning enterprise Power BI solutions, with at least 2+ years operating within an Azure cloud ecosystem.

Expert DAX & Power Query: Mastery of complex DAX computations (time-intelligence, advanced filtering) and optimized M-code data transformations.

Modern Data Paradigms: Proven experience handling Streaming Data or CDC (Change Data Capture) patterns (e.g., streaming from Debezium, Azure Event Hubs, Kafka, or Synapse Link) into Power BI.

Azure Stack Expertise: Solid working knowledge of Azure data resources (Synapse, Data Factory, Azure SQL, or Azure Fabric Lakehouses).

Data Engineering Concepts: Deep understanding of data warehousing concepts, including slowly changing dimensions (SCDs), partitioning, and indexing strategies.

Education: Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related quantitative field (or equivalent practical experience).

Preferred (Nice-to-Have) Skills

Microsoft Certifications: PL-300 (Power BI Data Analyst) or DP-600 (Fabric Analytics Engineer).

Experience with CI/CD deployment pipelines for Power BI deployment pipelines or Azure DevOps.

Familiarity with SQL performance tuning (analyzing execution plans, optimizing views, and indexing).

Job Summary 

We are looking for an experienced Technical Project Manager with 6–7 years of experience in software project management. The ideal candidate should have strong expertise in Agile methodologies, Jira administration, sprint planning, release management, stakeholder communication, and team leadership. The candidate will be responsible for driving end-to-end project execution, ensuring timely delivery of high-quality software releases, and coordinating with cross-functional teams and customers.

Key Responsibilities  

• Lead and manage multiple software development projects from initiation to production release.
• Configure and administer Jira projects, workflows, dashboards, boards, permissions, and reports.
• Manage Agile ceremonies including sprint planning, daily stand-ups, sprint reviews, retrospectives, and backlog refinement.
• Define, implement, and continuously improve Agile sprint management processes.
• Monitor project progress, identify risks, and ensure timely mitigation.
• Plan, coordinate, and execute production releases with zero or minimal downtime.
• Ensure on-time delivery of software releases while maintaining quality standards.
• Publish regular project status reports, release updates, and performance metrics to stakeholders.
• Collaborate closely with Product Managers, Developers, QA teams, DevOps, Customers, and Business stakeholders.
• Track project KPIs, software metrics, team velocity, and resource utilization.
• Drive issue resolution by coordinating with internal teams and customers.
• Handle customer escalations and ensure prompt resolution of production issues.
• Facilitate cross-functional communication and maintain project documentation.
• Mentor and manage project teams to achieve delivery excellence.

Required Skills  

• 6–7 years of experience in Technical Project Management within software development.
• Strong hands-on experience in Jira configuration and administration.
• Excellent knowledge of Agile/Scrum methodologies and Sprint Management.
• Experience in release planning, production deployment, and release governance.
• Strong understanding of SDLC and software delivery lifecycle.
• Experience in project planning, estimation, resource allocation, and risk management.
• Ability to monitor project health using software metrics and reporting dashboards.
• Strong stakeholder management and communication skills.
• Experience in handling customer-facing projects and production support.
• Excellent leadership, problem-solving, and decision-making abilities.
• Ability to manage multiple projects simultaneously in a fast-paced environment.