Move Forward

Job Description

• Identify and pursue new business opportunities through lead generation, cold outreach, networking, and inbound inquiries.
• Understand client needs and propose tailored software solutions that meet their technical and business objectives.
• Conduct presentations to prospective clients.
• Collaborate with pre-sales and technical teams to create proposals, SOWs, and RFP responses.
• Negotiate contracts, pricing, and terms in line with company policies.
• Maintain strong relationships with existing clients to drive upsell/cross-sell opportunities and ensure customer satisfaction.
• Stay updated with market trends, competition, and emerging technologies.
• Track sales pipeline, activities, and forecasts using CRM tools.
• Experience with selling AI solutions is a plus.

Job Description:

A Data Scientist is required to be proactive in developing and implementing machine learning models, analyzing large datasets, and delivering data-driven solutions. The role also requires cross-functional collaboration to ensure the highest standards in AI and Generative AI solutions.

Key Responsibilities:

• Understand the values and vision of the organization.
• Protect the Intellectual Property.
• Adhere to all policies and procedures.
• Develop and implement machine learning models and algorithms, particularly in the areas of AI and Generative AI.
• Analyze large, complex datasets to extract actionable insights and identify trends.
• Monitor model performance and conduct ongoing optimization and tuning.
• Evaluate and deploy AI solutions, ensuring robustness, scalability, and performance.
• Utilize Python and other relevant tools to manipulate data and build predictive models.
• Communicate findings and recommendations to stakeholders through reports, presentations, and visualizations.
• Stay updated with the latest advancements in AI and Generative AI and incorporate them into projects.

Required Skills & Experience:

• Strong proficiency in Python programming and its libraries such as TensorFlow, PyTorch, Scikit-learn, Pandas, and NumPy.
• Experience with deep learning frameworks and neural networks.
• Solid understanding of machine learning algorithms and statistical methods.
• Ability to work with large datasets and perform data preprocessing, cleaning, and transformation.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Familiarity with natural language processing (NLP) and computer vision techniques.

Job Description:

Data Engineer is required to be proactive in designing, building and maintaining data systems. The role also requires cross-functional collaborations and ensure highest standards of data quality and performance by extending his expertise in data engineering, data architecture, pipeline creation and big data technologies.

Key Responsibilities:

• Understand the values and vision of the organization.
• Protect the Intellectual Property.
• Adhere to all the policies and procedures.
• Design, develop, and maintain scalable data pipelines for data ingestion, processing and storage.
• Build and optimize data architectures and data models for efficient data storage and retrieval.
• Develop ETL processes to transform and load data from various sources into data warehouses and data lakes.
• Ensure data integrity, quality, and security across all data systems.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs.
• Monitor and troubleshoot data pipelines and workflows to ensure high availability and performance.
• Document data processes, architectures, and data flow diagrams.
• Implement and maintain data integration solutions using industry-standard tools and technologies (e.g., Apache Spark, Kafka, Airflow).

Required Skills & Experience:

• Expertise on Data Integration, processing & Storage.
• Expertise on Data optimization architecture, data process and data flow.
• Knowledge of Data integration tools like Apache Spark, Kafka & Airflow.
• Proficiency in SQL and at least one programming language (e.g., Python, Scala).
• Experience with cloud data platforms (e.g., AWS, Azure, GCP) and their data services.
• Experience with data visualization tools (e.g., Tableau, Power BI).

Job Description:

As a DevOps Engineer, you will lead in designing, implementing, and maintaining our DevOps infrastructure. Using your expertise in continuous integration, deployment, and automation, you'll work with cross-functional teams to streamline development processes and improve system reliability. Responsibilities include managing cloud infrastructure, implementing configuration management best practices, ensuring application security and scalability.

Key Responsibilities:

• Design, implement, and manage CI/CD pipelines to automate and optimize software development and deployment processes.
• Deploy, monitor, and maintain AI/ML models in production, ensuring scalability, security, and high availability.
• Manage and optimize cloud infrastructure (AWS, Azure, or GCP) for AI-driven applications, ensuring cost-effectiveness and performance.
• Implement infrastructure as code (IaC) using Terraform, CloudFormation, or similar tools.
• Monitor system performance, troubleshoot issues, and ensure 99.9% uptime for AI services.
• Enhance containerization and orchestration strategies using Docker and Kubernetes.
• Implement security best practices, ensuring compliance with industry standards and regulations.
• Automate and streamline deployment, configuration management, and system monitoring.
• Collaborate with AI/ML engineers, data scientists, and software developers to ensure seamless integration of AI models.
• Set up logging, monitoring, and alerting solutions using Prometheus, Grafana, ELK stack, or similar tools.

Required Skills & Experience:

• Sound Experience in DevOps, Cloud Engineering, or Infrastructure Automation.
• Expertise in cloud platforms – AWS, Azure, or Google Cloud.
• Strong hands-on experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI/CD, CircleCI).
• Proficiency in containerization (Docker) and orchestration (Kubernetes, Helm).
• Experience with Infrastructure as Code (IaC) – Terraform, Ansible, CloudFormation.
• Strong scripting skills in Python, Bash, or PowerShell for automation.
• Knowledge of security best practices – IAM, firewalls, encryption, vulnerability scanning.
• Experience in monitoring/logging tools – Prometheus, Grafana, ELK stack, Datadog.
• Familiarity with networking concepts, load balancing, and DNS management.
• Certifications in AWS (AWS Certified DevOps Engineer), Azure (Azure DevOps Engineer), or Kubernetes (CKA, CKS, EKS) would be preferred.

Job Description:

We are seeking a skilled IT SecOps Engineer with 3-5 years of experience to strengthen our security operations team. The ideal candidate will demonstrate expertise in IT security, a passion for safeguarding critical systems, and the ability to thrive in a fast-paced environment. This role involves managing and enhancing the organization's security posture, responding to incidents, and collaborating with cross-functional teams to ensure the safety and integrity of our IT infrastructure.

Key Responsibilities:

• Protect the Intellectual Property.
• Adhere to all the policies and procedures.
• Monitor and manage security tools and platforms to identify and address threats in real time.
• Respond to security incidents, perform root cause analysis, and implement preventive measures.
• Conduct regular security assessments, including vulnerability scanning and penetration testing.
• Maintain and optimize firewalls, intrusion detection/prevention systems, and endpoint protection solutions.
• Develop, implement, and maintain security policies, procedures, and guidelines.
• Collaborate with IT and development teams to design secure network and system architectures.
• Stay updated on emerging cybersecurity threats and implement necessary defenses.
• Prepare incident reports and security performance metrics for internal and external stakeholders.
• Facilitate security awareness training for employees.
• Manage compliance with security standards and regulatory requirements.

Required Skills & Experience:

• Strong knowledge of cybersecurity frameworks (e.g., NIST, ISO 27001).
• Proficiency in scripting languages (e.g., Python, Bash) for automation and reporting.
• Experience with cloud security (AWS, Azure, or Google Cloud).
• Familiarity with tools such as Splunk, Palo Alto, or CrowdStrike.

Job Description:

We are hiring for a Penetration Tester with a minimum of 5 years of hands-on experience in penetration testing and vulnerability assessment./B.Tech. in Computer Science, Information Security, or a related field. Advanced certifications such as OSCP, CEH, or CISSP are preferred.

Key Responsibilities:

• Conduct comprehensive penetration testing of networks, web applications, mobile applications, and other systems to identify security vulnerabilities.
• Perform vulnerability assessments and provide detailed recommendations for remediation.
• Develop and execute security test plans, scenarios, and scripts to simulate real-world attacks.
• Collaborate with development and IT teams to understand security requirements and integrate security testing into the software development lifecycle.
• Prepare detailed reports of findings, including risk analysis and recommended mitigations, and present these findings to stakeholders.

Required Skills & Experience:

• Minimum of 5 years of hands-on experience in penetration testing and vulnerability assessment.
• B.E./B.Tech. in Computer Science, Information Security, or a related field. Advanced certifications such as OSCP, CEH, or CISSP are preferred.
• Proficiency in using penetration testing tools such as Metasploit, Burp Suite, Nmap, Nessus, Wireshark, and others.
• Strong understanding of network protocols, network and application security architectures, and common vulnerabilities (e.g., OWASP Top Ten).
• Experience with scripting languages such as Python, Ruby, Bash, or PowerShell.
• Familiarity with operating systems (Windows, Linux) and their security features.

Job Description:

We’re hiring a Data Engineering Architect with strong expertise in Medallion Architecture and Azure Cloud to lead end-to-end data platform modernization. This role involves designing scalable solutions, leading cloud migrations, and setting up secure, governed data pipelines.

Key Responsibilities:

• Architect data pipelines and platforms using Medallion Architecture.
• Lead on-premise to Azure cloud migration projects.
• Build and manage ETL/ELT workflows using ADF, Synapse, Databricks, ADLS.
• Define and enforce Role-Based Access Control (RBAC) and data governance policies.
• Automate cloud infrastructure using Terraform.
• Collaborate with cross-functional teams (data science, BI, DevOps).
• Optional but nice-to-have: Build dashboards using Power BI, Tableau, etc.

Tech Stack:

• Azure: ADF, Synapse, Databricks, ADLS
• IaC: Terraform
• ETL/ELT: Python, SQL, Spark
• Access Management: Azure RBAC
• Visualization: Power BI, Tableau (nice to have)

Job Description:

We are looking for a Manufacturing & Deployment Engineer to manage the firmware deployment, device provisioning, and factory production processes for our Android OS-based smartphone hardware. You will work with hardware, software, and supply chain teams to ensure smooth manufacturing, testing, and deployment.

Key Responsibilities:

• Develop and execute firmware flashing, OTA updates, and multiport firmware upgrades.
• Set up and manage IMEI & Serial Number writing, Google key provisioning, and CSR upload.
• Work with factory testing tools for PCB leakage tests, thermal analysis, and hardware validation.
• Debug and optimize wireless connectivity (WiFi, Bluetooth), camera performance, and display calibration.
• Work on Google RCS, TMO My Account integration, and carrier compliance (WEA TRD).
• Develop and validate factory test scripts, hidden engineering mode, and MMI test APKs.
• Ensure compliance with factory production workflows and label printing requirements.

Required Skills & Experience:

• 5-7 years of experience in Manufacturing, Production Engineering, or Embedded Testing.
• Knowledge of Android Fastboot, ADB, firmware flashing & OTA update mechanisms.
• Experience with factory testing tools (IMEI writers, PCB testers, thermal cameras).
• Familiarity with bootloader security, device encryption, and provisioning systems.
• Understanding of reverse logistics, quality control, and mass production workflows.
• Ability to debug hardware, RF, and network-related issues in production.

Job Description:

We are looking for a highly skilled Embedded Software Engineer to work on low-level software development, including boot configuration, system bring-up, hardware drivers, and embedded security features for an Android-based OS on smartphone hardware.

Key Responsibilities:

• Develop and optimize chipcode software baselines and BSP integration.
• Work on system bring-up, bootloader, and power management.
• Develop, debug, and optimize device drivers for WiFi, Bluetooth, USB, SD, and Display.
• Implement secure boot mechanisms and key provisioning systems.
• Debug firmware, kernel crashes, and performance bottlenecks.
• Collaborate with hardware and platform teams to optimize system architecture.
• Work on Android performance tuning & debugging (DOU, Benchmarking, Profiling).

Required Skills & Experience:

• 6-8 years of experience in Embedded Software Development.
• Strong programming skills in C, C++, Assembly.
• Experience with RTOS, Linux Kernel, and Device Drivers.
• Hands-on expertise in bootloaders (U-Boot), JTAG debugging, and power management.
• Experience with USB, PCIe, I2C, SPI, UART protocols.
• Knowledge of Google xTS, Secure Boot, TrustZone, TPM is a plus.
• Ability to debug low-level hardware/software integration issues.