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1.SV, UVM, USB, DDR, PCIE, Ethernet, Axi, MIPI. Any one of the protocols will
be added advantage.
2.Experience in verification of complex IPs or SoCs.
3. Expertise in SoC Verification using C and SV/UVM.Expertise in AMBA
protocols
4. AXI/AHB/APB and experience in working with ARM Processors.
5. Expertise in Test Plan creation and Verification technologies like Code
Coverage, Functional Coverage and Assertions.
We are seeking an experienced Senior MEAN/MERN Developer with 2 to 5 years of professional experience to join our development team. The ideal candidate will possess strong expertise in the MEAN (MongoDB, Express.js, Angular, Node.js) or MERN (MongoDB, Express.js, React, Node.js) technology stacks, along with a solid understanding of data structures and algorithms.
Key Responsibilities and Skills:
- Design, develop, and maintain scalable web applications using MEAN or MERN stack.
- Demonstrate a strong command of data structures and algorithms to optimize application performance.
- Work extensively with MongoDB for database design and management.
- Possess basic knowledge of AWS services to support cloud infrastructure needs.
- Understand and implement microservices architecture for modular and maintainable systems.
- Collaborate effectively with cross-functional teams in a fast-paced environment.
Additional Requirements:
- Preference will be given to candidates willing to work from our Hyderabad office location.
The successful candidate will have a detail-oriented approach, a commitment to code quality, and strong problem-solving skills.

WeMakeScholars is a data-driven platform in the space of International Education. Students from around the world have used our portal to find higher education opportunities overseas. We specifically help Indian students in sorting their education loan for abroad studies by working with the biggest banks in India like SBI, ICICI, BOB, etc.
Role: Full-stack development for our Product https://www.wemakescholars.com/">https://www.wemakescholars.com/
Technologies we use: LAMP with Yii framework
Why should you join us?
- We are a 6 years old start-up with a quite small tech team. Hence, you will have a lot to learn.
- We are growing really quickly with more than 5 lac users every month and have a team size of 65 members as on today.
- We do offer ESOP along with salary if you are well on our expectations.
- We like people who love to learn and grow. We equally contribute to your learning by allowing you enough time to participate in online courses or sessions.
- 24 paid leaves in a year. Work from home option available occasionally.
I think we gave you a lot of reasons to join our team.
**Please apply only if you are well versed in LAMP stack. We do not accept applications from freshers, you should have worked in an organization for at least 6 months before applying.

We Help Our Customers Build Great Products.
Innominds is a trusted innovation acceleration partner focused on designing, developing and delivering technology solutions for specialized practices in Big Data & Analytics, Connected Devices, and Security, helping enterprises with their digital transformation initiatives. We built these practices on top of our foundational services of innovation, like UX/UI, application development and testing.
Over 1,000 people strong, we are a pioneer at the forefront of technology and engineering R& D, priding ourselves as being forward thinkers and anticipating market changes to help our clients stay relevant and competitive.
About the Role:
We are looking for a seasoned Data Engineering Lead to help shape and evolve our data platform. This role is both strategic and hands-on—requiring leadership of a team of data engineers while actively contributing to the design, development, and maintenance of robust data solutions.
Key Responsibilities:
- Lead and mentor a team of Data Engineers to deliver scalable and reliable data solutions
- Own the end-to-end architecture and development of data pipelines, data lakes, and warehouses
- Design and implement batch data processing frameworks to support large-scale analytics
- Define and enforce best practices in data modeling, data quality, and system performance
- Collaborate with cross-functional teams to understand data requirements and deliver insights
- Ensure smooth and secure data ingestion, transformation, and export processes
- Stay current with industry trends and apply them to drive improvements in the platform
Requirements
- Strong programming skills in Python
- Deep expertise in Apache Spark, Big Data ecosystems, and Airflow
- Hands-on experience with Azure cloud services and data engineering tools
- Strong understanding of data architecture, data modeling, and data governance practices
- Proven ability to design scalable data systems and enterprise-level solutions
- Strong analytical mindset and problem-solving skills
For our company to deliver world-class products and services, our business depends on recruiting and hiring the best and the brightest from around the globe. We are looking for the engineers, designers and creative problem solvers that stand out from the rest of the crowd but are also humble enough to continue learning and growing, are eager to tackle complex problems and are able to keep up with the demanding pace of our business. We are looking for YOU!


Lead Developer
Qualification:
Science / Engineering graduateResponsibility:
Requirements Gathering:
- ' Participate in requirement gathering JAD (Joint Application Development) sessions and support documentation where applicable (business functional Technical UI usability data compliance data migration NFR 3rd party tools & products).
- Raise queries and get query resolution on areas which are unclear ambiguous and which need more information to the Technology Lead.
Project Estimation:
- ' Understand how the estimation (effort size etc) is done at task level in the area of work concerned measure and report the actual effort against the estimated effort and ensure task progress reporting in C20 or any other applicable tool.
Capability Development:
- Become an expert in the core skill and develop additional skills.
Design & Analysis:
- ' Create the HL Design and detailed design document with the support of architects for the assigned scope.
- Review all deliverables created by the Developer.
- Study non functional requirements and design for NFR as required.
- Understand the interdependencies of the various components in work packages being developed.
- Create detailed design and assign to developer.
- provide input to the Project Manager / Technical Lead to create the project plan from a technical perspective.
- support development of proof of concept as designed by Designer / Solution Architect.
- initiate development environment setup.
- Provide demo to customer for early feedback.
- create quality check points for all deliverables.
Coding:
- ' Develop tier coding business layer coding interface development service development creation of stored procedures etc as applicable for the work package / project.
- CTS and customer specific coding standards guidelines and best practices.
- Understand the database concepts and write efficient queries.
- raise clarifications / issues / concerns regarding work output to the lead.
- Seek review from peer / technical lead periodically.
- participate in setup activities for required environment setup.
- deploy code build in testing environment.
- conduct peer review during design coding and testing.
- Complete documentation as per the scope.
- prepare guidelines and checklist for development and testing activities.
- Provide feedback to design team.
- share feedback with developers to check if code is as per requirements.
- Incorporate changes as per feedback.
- provide necessary and timely status updates to the Supervisor / Technical Lead.
- Highlight any potential risks to the leads.
- Update traceability matrix for the work package developed.
- mentor the Developers to help them solve technical difficulties in the course of coding.
- Follow the SCM policies set for project.
- raise clarifications / issues / concerns regarding work output to the lead on time.
- provide necessary and timely status updates to the Supervisor / Technical Lead.
- Proactively highlight any potential risks to the lead.
- provide support on process audit activities.
- adhere to process and tools (usage of cognizant 20 awareness of Quality Management System).
Testing:
- ' Develop comprehensive unit testing cases and unit test plans.
- conduct comprehensive unit testing.
- create unit test logs.
- Prepare and support in preparation of unit test strategy.
- plan document and data requirements.
- automate unit testing and contribute to automation of unit testing.
- Conduct peer review of unit test cases.
- perform developer integration testing by integrating the components.
- Review test cases as prepared by the Developer.
Defect Management:
- Participate in defect triage meetings.
- conduct RCA for defects identified.
- Rework on the code based on review comments from code review / defects raised in unit testing peer testing SIT UAT testing or any other relevant testing phases.
- Assist in transition of knowledge and to support organization with any defects raised post production as required.
Process Improvements and Adherence:
- Participate in innovation sessions.
- implement process improvements to reduce manual intervention (eg automation).
- support on process audit activities.
- Generate ideas to provide value add and share the same with the Technical Lead.
- Adhere to process and tools (usage of cognizant 20 awareness of Quality Management System IDE etc).
Knowledge Management:
- Contribute towards updating knowledge assets user manual online help document installation manual / scripts.
- Conduct knowledge transfer sessions for new joiners in the project team.
- conduct training through academy (if approved).
- Guide and mentor team junior members from a technical perspective to ensure quality delivery of the components.
- contribute / search / reuse all types of assets from repository.
People management:
- Engage with team.
- resolve / conflict management within team.
- conduct internal trainings for developers within team.
Must Have Skills
- WPF Performance Suite
- .Net Framework
- C++
Good To Have Skills
- C# Studio
- C#. Net Logger
- MS SQL Server
- .Net Programming-C# .Net
- Specialized in architectural knowledge/experience in Tosca
- Hands on experience to support operational stuff on Tosca
- Needs to be an SME who will lead and guide rest of the resources on the project
- Needs to come up with solutions, strategic thoughts and efficiencies for Tosca implementation
- Willingness to find answers and resolutions
- Good Communications Skills

at Altimetrik
DevOps Architect
Experience: 10 - 12+ year relevant experience on DevOps
Locations : Bangalore, Chennai, Pune, Hyderabad, Jaipur.
Qualification:
• Bachelors or advanced degree in Computer science, Software engineering or equivalent is required.
• Certifications in specific areas are desired
Technical Skillset: Skills Proficiency level
- Build tools (Ant or Maven) - Expert
- CI/CD tool (Jenkins or Github CI/CD) - Expert
- Cloud DevOps (AWS CodeBuild, CodeDeploy, Code Pipeline etc) or Azure DevOps. - Expert
- Infrastructure As Code (Terraform, Helm charts etc.) - Expert
- Containerization (Docker, Docker Registry) - Expert
- Scripting (linux) - Expert
- Cluster deployment (Kubernetes) & maintenance - Expert
- Programming (Java) - Intermediate
- Application Types for DevOps (Streaming like Spark, Kafka, Big data like Hadoop etc) - Expert
- Artifactory (JFrog) - Expert
- Monitoring & Reporting (Prometheus, Grafana, PagerDuty etc.) - Expert
- Ansible, MySQL, PostgreSQL - Intermediate
• Source Control (like Git, Bitbucket, Svn, VSTS etc)
• Continuous Integration (like Jenkins, Bamboo, VSTS )
• Infrastructure Automation (like Puppet, Chef, Ansible)
• Deployment Automation & Orchestration (like Jenkins, VSTS, Octopus Deploy)
• Container Concepts (Docker)
• Orchestration (Kubernetes, Mesos, Swarm)
• Cloud (like AWS, Azure, GoogleCloud, Openstack)
Roles and Responsibilities
• DevOps architect should automate the process with proper tools.
• Developing appropriate DevOps channels throughout the organization.
• Evaluating, implementing and streamlining DevOps practices.
• Establishing a continuous build environment to accelerate software deployment and development processes.
• Engineering general and effective processes.
• Helping operation and developers teams to solve their problems.
• Supervising, Examining and Handling technical operations.
• Providing a DevOps Process and Operations.
• Capacity to handle teams with leadership attitude.
• Must possess excellent automation skills and the ability to drive initiatives to automate processes.
• Building strong cross-functional leadership skills and working together with the operations and engineering teams to make sure that systems are scalable and secure.
• Excellent knowledge of software development and software testing methodologies along with configuration management practices in Unix and Linux-based environment.
• Possess sound knowledge of cloud-based environments.
• Experience in handling automated deployment CI/CD tools.
• Must possess excellent knowledge of infrastructure automation tools (Ansible, Chef, and Puppet).
• Hand on experience in working with Amazon Web Services (AWS).
• Must have strong expertise in operating Linux/Unix environments and scripting languages like Python, Perl, and Shell.
• Ability to review deployment and delivery pipelines i.e., implement initiatives to minimize chances of failure, identify bottlenecks and troubleshoot issues.
• Previous experience in implementing continuous delivery and DevOps solutions.
• Experience in designing and building solutions to move data and process it.
• Must possess expertise in any of the coding languages depending on the nature of the job.
• Experience with containers and container orchestration tools (AKS, EKS, OpenShift, Kubernetes, etc)
• Experience with version control systems a must (GIT an advantage)
• Belief in "Infrastructure as a Code"(IaaC), including experience with open-source tools such as terraform
• Treats best practices for security as a requirement, not an afterthought
• Extensive experience with version control systems like GitLab and their use in release management, branching, merging, and integration strategies
• Experience working with Agile software development methodologies
• Proven ability to work on cross-functional Agile teams
• Mentor other engineers in best practices to improve their skills
• Creating suitable DevOps channels across the organization.
• Designing efficient practices.
• Delivering comprehensive best practices.
• Managing and reviewing technical operations.
• Ability to work independently and as part of a team.
• Exceptional communication skills, be knowledgeable about the latest industry trends, and highly innovative
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¡ Solid Design and Architecture skills. Experience in the designing, development, and deployment of large-scale enterprise applications with multiple tiers. |
¡ Ensure agile test-driven development for robustness, usability, reliability, security and performance. |
¡ Expert in Core JAVA and Spring Boot and other Spring libraries, Eureka, Hystrix etc. |
¡ Experience creating architecture or developing web services to integrate applications with databases such as Oracle, MySQL, MongoDB, or Cassandra |
¡ Solid understanding of OOPS, algorithms and data structures. |
¡ Experience on Kafka / Scala / Storm / Elastic Search and Web Services like RESTful / SOAP. |
¡ Extensive experience with version control systems (Git is preferred) and issue tracking systems (JIRA is preferred) |


Job Title: Chief Engineer: Deep Learning Compiler Expert
You will collaborate with experts in machine learning, algorithms and software to lead our effort of deploying machine learning models onto Samsung Mobile AI platform.
In this position, you will contribute, develop and enhance our compiler infrastructure for high-performance by using open-source technology like MLIR, LLVM, TVM and IREE.
Necessary Skills / Attributes:
- 6 to 15 years of experience in the field of compiler design and graph mapping.
- 2+ years hands-on experience with MLIR and/or LLVM.
- Experience with multiple toolchains, compilers, and Instruction Set Architectures.
- Strong knowledge of resource management, scheduling, code generation, and compute graph optimization.
- Strong expertise in writing modern standards (C++17 or newer) C++ production quality code along test-driven development principles.
- Comfortable and experienced in software development life cycle - coding, debugging, optimization, testing, and continuous integration.
- Familiarity with parallelization techniques for ML acceleration.
- Experience working on and contributing to an active compiler toolchain codebase, such as LLVM, MLIR, or Glow.
- Experience in deep learning algorithms and techniques, e.g., convolutional neural networks, recurrent networks, etc.
- Experience of developing in a mainstream machine-learning framework, e.g. PyTorch, Tensorflow or Caffe.
- Experience operating in a fast-moving environment where the workloads evolve at a rapid pace.
- Understanding of the interplay of hardware and software architectures on future algorithms, programming models and applications.
- Experience developing innovative architectures to extend the state of the art in DL performance and efficiency.
- Experience with Hardware and Software Co-design.
M.S. or higher degree, in CS/CE/EE or equivalent with industry or open-source experience.
Work Profile:
- Design, implement and test compiler features and capabilities related to infrastructure and compiler passes.
- Ingest CNN graphs in Pytorch/TF/TFLite/ONNX format and map them to hardware implementations, model data-flows, create resource utilization cost-benefit analysis and estimate silicon performance.
- Develop graph compiler optimizations (operator fusion, layout optimization, etc) that are customized to each of the different ML accelerators in the system.
- Integrate open-source and vendor compiler technology into Samsung ML internal compiler infrastructure.
- Collaborate with Samsung ML acceleration platform engineers to guide the direction of inferencing and provide requirements and feature requests for hardware vendors.
- Closely follow industry and academic developments in the ML compiler domain and provide performance guidelines and standard methodologies for other ML engineers.
- Create and optimize compiler backend to leverage the full hardware potential, efficiently optimizing them using novel approaches.
- Evaluate code performance, debug, diagnose and drive resolution of compiler and cross-disciplinary system issues.
- Contribute to the development of machine-learning libraries, intermediate representations, export formats and analysis tools.
- Communicate and collaborate effectively with cross-functional hardware and software engineering teams.
- Champion engineering and operational excellence, establishing metrics and processes for regular assessment and improvement.
Keywords to source candidates
Senior Developer, Deep Learning, Prediction engine, Machine Learning, Compiler