Key Responsibilities : Design, implement, and maintain secure bootloaders for automotive ECUs. Develop support for firmware-over-the-air (FOTA) and diagnostic over CAN (DoCAN) update mechanisms. Integrate bootloader solutions with AUTOSAR-based platforms and production ECUs. Implement safety and security features such as secure boot , rollback protection , cryptographic signature verification , and memory integrity checks . Ensure compliance with automotive safety standards, especially ISO 26262 (up to ASIL-B/C). Work closely with functional safety and cybersecurity teams to develop bootloaders meeting ISO/SAE 21434 standards. Support testing, debugging, and validation of bootloaders in both lab and vehicle environments. Provide production support for ECU programming tools (UDS, XCP, CAN, Ethernet). Required Skills and Qualifications : Strong experience in embedded C/C++ and real-time software development. Solid understanding of microcontroller architectures (e.g., Infineon Aurix, NXP, Renesas, TI). Experience with automotive communication protocols : CAN, LIN, FlexRay, Ethernet . Proficiency in bootloader development for AUTOSAR Classic or Adaptive platforms . Familiarity with ISO 26262 and ASIL safety development processes. Knowledge of UDS (Unified Diagnostic Services) and automotive diagnostics. Experience with secure boot concepts , including cryptographic libraries (e.g., AES, RSA, HMAC, ECC). Preferred Qualifications : Experience with Vector , ETAS , or Elektrobit automotive stacks. Hands-on experience with OTA update systems and software update campaign strategies . Knowledge of automotive cybersecurity standards ( ISO/SAE 21434 , EVITA , HEAVENS ). Familiarity with Flashing Tools (e.g., Vector CANape, CANoe, INCA). Experience in ASIL decomposition and technical safety concept implementation . Education : Bachelors or Master’s degree in Electrical Engineering , Computer Engineering , Automotive Engineering , or related fields.

Role & responsibilities Preferred candidate profile We are looking for a passionate and skilled Software Engineering Manager with a strong foundation in Data Structures and Algorithms (DSA) and experience in building systems that handle large-scale data efficiently. Youll play a key role in designing, developing, and optimizing backend systems, real-time pipelines, or storage engines that scale to billions of records. Design and implement highly performant algorithms to process, transform, and analyze large volumes of data Apply advanced DSA concepts like Trees, Graphs, Tries, Heaps, and Hashing for data indexing, filtering, and routing Develop and optimize data pipelines, stream processors, or caching systems Architect scalable systems for data ingestion, storage, and retrieval (structured/unstructured) Collaborate with cross-functional teams to integrate and deploy performant services Perform profiling, tuning, and memory optimization to ensure low-latency operations Write clean, modular, testable code and participate in code reviews Must-Have Skills Strong command over Core DSA concepts: Binary Search, Heaps, Graphs, Tries, Trees (AVL, B-Trees, Segment Trees) Hands-on experience with algorithms for sorting, searching, indexing, and caching large dataset Proficiency in one or more of the following languages: Java, Python Experience working with large datasets in real-time or batch Solid grasp of time and space complexity and performance tuning Familiarity with memory management, garbage collection, and data locality Deep technical knowledge; hands-on in architecture design, development, deployment, and production operation; familiar with agile software development and modern development tools and frameworks; holds strong engineering principles, including automation, quality, and best practices with a high bar. Extensive experience in complete software development life cycle E2E, including production monitoring. *On a special note, the idle resource must have strong hands-on DSA + System design + System Architecture. + Event Driven Architecture. He will be performing 70% core technical (Coding) & 30% Managerial role.

Role & responsibilities Preferred candidate profile Required Qualifications: Bachelors degree in computer science, Information Technology, or a related field. AWS Certified Solutions Architect (Associate) is highly preferred. Experience : Minimum of 6+ years of experience in IT infrastructure and cloud architecture, with significant hands-on experience in AWS. Proven track record in managing and leading infrastructure teams. Handson experience with AWS services such as EC2, S3, RDS, Lambda, VPC, CloudFormation, and IAM. Technical Skills : Strong understanding of Linux/Windows systems and network architectures. Proficiency in scripting languages such as Python, Bash, or PowerShell. Experience with Infrastructure as Code (IaC) tools and best practices. Working knowledge of other cloud platforms (e.g., Azure, Google Cloud) is a plus. Perks and benefits