Infrastructure jobs in India

Looking for a strong leader who has a proven expertise in project and product management, along with deep expertise in Transport Management Systems (TMS), Warehouse Management Systems (WMS), enterprise software development, systems integration, and robust tech infrastructure management.

The role of Company Secretary & Compliance Officer involves ensuring robust corporate governance practices and adherence to regulatory requirements. This position is ideal for a CS professional with expertise in legal compliance and corporate affairs in regulation-heavy industries such as power, infrastructure, energy, cement, steel, EPC.

The Assistant Manager - Tax will manage end-to-end direct tax compliance and audits for 25+ SPVs and holding companies engaged in the energy infrastructure sector. This role involves close coordination with consultants, internal teams, and senior leadership to ensure timely and accurate tax reporting and compliance.

Lead the design and execution of enterprise-wide Knowledge Management strategy, integrating advanced tools, content governance, and analytics to enhance IT service delivery and innovation. Build and maintain knowledge infrastructure, foster a culture of knowledge sharing, ensure compliance, and drive stakeholder engagement, training, and change management to maximize knowledge asset value and business impact.

Role Summary The Zone Network and Security Project Manager will be responsible for the co-ordination of designing, implementing, and maintaining secure IT infrastructure solutions. The role's main responsibility is to ensure the organization's IT systems remain resilient, compliant, and aligned with business objectives. The ideal candidate will have a strong technical background in network engineering and cybersecurity coupled with hands-on experience in project management and cross-functional collaboration. Experience with retail and cloud infrastructure a plus.Key Responsibilities

Project Management

• Lead network and system migration projects.
• Collaborate with suppliers and stakeholders, including Retail IT, to design and test IT infrastructure solutions.
• Ensure timely delivery and successful execution of IT and security projects.

Network Engineering and Security

• Advise and co-ordinate the design, configuration, and management of company network security infrastructure (e.g., Meraki, Fortinet, Zscaler).
• Lead the implementation and maintenance of secure WAN solutions (ADSL, MPLS, SD-WAN).
• Develop and enforce security compliance measures, including IPSec VPN management.
• Support global connectivity solutions, such as Meraki, Cloudi-fi, and Zscaler.
• Design, implement, and manage Zscaler Private Access (ZPA) solutions for secure remote access to internal applications across our 3500 retail stores in the Zone.
• Configure and optimize Zscaler Secure Internet Access (ZIA) policies for web security, threat prevention, and data loss prevention for our 3500 retail stores in the Zone.
• Troubleshoot and resolve issues related to Zscaler ZPA and ZIA deployments, ensuring optimal performance and security.

Cloud Infrastructure and Automation

• Working knowledge of cloud-based systems in Azure and AliCloud, including AAD server migrations.

Cybersecurity and Compliance

• Implement and support data loss prevention (DLP) tools such as CrowdStrike.
• Lead cybersecurity IT training where needed.

IT Systems Administration

• Monitor and maintain system performance using tools like ThousandEyes.
• Strong analytical skills and high proficiency in using PowerBI and Excel.

Collaboration and Support

• Manage access controls using SharePoint.
• Provide project workflow customization and ServiceNOW and Confluence knowledge base access management.
• Support cross-functional teams with IT tools, meeting room setups, and collaboration platforms (Teams, SharePoint, ServiceNOW, Confluence).

Qualifications and Skills

Technical Certifications (bonus but not required)

• CCNP (Cisco Certified Network Professional).
• PMP (Project Management Professional).
• Zscaler Certifications (e.g., Zscaler Certified Administrator, Zscaler Certified Professional) are a significant plus.

Technical Expertise

• Proficient in network technologies: Cisco Meraki, Palo Alto Firewalls.
• Strong skills in cloud technologies: Azure, AliCloud.
• Advanced knowledge of cybersecurity tools: CrowdStrike, CyberArk.
• Extensive hands-on experience with Zscaler, specifically Zscaler Private Access (ZPA) and Zscaler Secure Internet Access (ZIA) modules.

Preferred Experience

• 5+ years of experience in network engineering and cybersecurity roles.
• Proven track record in IT infrastructure management and cloud migration projects.

Demonstrated experience in deploying, configuring, and maintaining Zscaler Private Access (ZPA) and Zscaler Secure Internet Access (ZIA) in an enterprise environment, particularly within a large-scale retail contextLocation- Hyderabad

Mode- Hybrid, 3 Days WFO

Job Responsibilities:
Design, implement, and maintain robust and scalable CI/CD pipelines.
* Implement and maintain infrastructure as code (IaC) for CI/CD environments.
* Automate build, test, and deployment processes using industry-standard tools and best practices.
* Develop and maintain pipeline scripts for Jenkins using Groovy and Java.
* Maintain and develop tools used in the development infrastructure.
* Evaluate software updates and ensure version changes do not impact existing functionality.
* Consulting of application developers on the usage of the development environment and to troubleshoot and resolve issues related to CI/CD pipelines.
* Collaborate with development, QA, and operations teams to ensure smooth and efficient software releases.
* Monitor and optimize pipeline performance and reliability.
* Develop and maintain scripts and tools for automation tasks.
* Research and evaluate new CI/CD technologies and tools.
* Contribute to the improvement of our DevOps practices and processes.
* Document CI/CD processes and configurations.
* Ensure security best practices are implemented throughout the CI/CD pipeline.
SKILLS REQUIRED
* Strong know-how in Jenkins with experience in Groovy and Java.
* In-depth understanding of DevSecOps.
* Extensive hands-on experience in using git.
* Gitlab, Jenkins, Artifactory, SonarQube and Pact are your favourite friends.
* You know Docker, Podman and Kubernetes, preferably in conjunction with AWS.
* You are familiar with bash scripting and have a basic knowledge of HTTP.
* Independent and proactive way of working.
* Service-oriented and responsible - your contributions to the system can have very big impact.

Senior Embedded Software Engineer

Your Job:

* Design, implement, and test embedded software for Smart Motion Products in the field of industrial

automation.

* Collaborate within an agile team on projects related to industrial communication, cybersecurity, and

closed-loop control.

* Assist in the development and enhancement of infrastructure for continuous integration and industrial

Ethernet.

* Utilize and integrate reusable software components from our embedded platform.

Your technical qualification:

* A degree in computer science, software engineering, electrical engineering, or a related field.

o Familiarity with electric and pneumatic systems, along with a willingness to engage with

them.

* Proficiency in object-oriented design and the C++ programming language

o Python for Scripting and Automation

o Principles of version control and branching with Git

o Skills in troubleshooting and testing embedded software

o Knowledge of unit and integration testing

* 10 years of experience in developing software for embedded systems and industrial

communication, particularly for "small systems" with limited resources and embedded RTOS

o Knowledge of ARM v7/v8 Cortex-M / Cortex-A based microcontrollers and their

ecosystems.

* Understanding of industrial communication protocols, stacks e.g. EtherCAT, Profinet, Modbus, IOLink,

and controllers, such as SIEMENS and Beckhoff.

o Proficiency with modern software tools including VS Code, LLVM, Git, GitLab, CMake,

and Conan.

* Familiarity with current software development processes, methods, and relevant standards is a plus.

o Awareness of architectural design principles and understanding of measures and best

practices to ensure software quality.

Your Responsibilities * Design and maintain frameworks for product classification and automated security requirements mapping * Conduct TARAs (Threat Analysis and Risk Assessment) and security assessments for Festo products * Support product teams in automating the generation of SBOMs (Software Bill of Materials) * Develop and execute test specifications, test cases and test plans for vulnerability testing of Festo products * Conduct penetration testing and basic vulnerability assessment of Festo products * Support documentation of test results and collaborate with the development teams * Support the continuous improvement and automation of security testing * Establish and maintain DevSecOps practices within CI/CD environments and develop automation infrastructure * Support the provision of tools and documentation in the context of SAMM (Software Assurance Maturity Model) * Collaborate with product compliance and development teams to implement and maintain product security measures * Support investigation and mitigation of product-related security incidents (PSIRT) Our Requirements * Education: Bachelor's degree in engineering, Computer Science, Mechatronics, Information Science and Electronics, Cyber Security or equivalent * Mandatory Experience: o Min 2 years of experience in product security, ideally in Industrial Automation or automotive field o Programming knowledge in Python and JavaScript o Basic familiarity with different industrial protocols and PLC systems o Experience with CI/CD practices and DevOps o Basic knowledge of Linux * Nice-to-Have: o Understanding of Secure Development Lifecycle and standards like IEC 62443-3 / 62443-4 o Additional knowledge in programming languages such as C, C++ or Shell scripting o Experience with tools like OpenVAS, Nessus, Nmap, Wireshark, embedded or IOT penetration testing o Experience in embedded domain o Experience in Linux hardening

Qualifications & Required Skills: Full-Time

bachelor's or master's degree in engineering/technology, computer science, information technology, or related fields.

 10+ years of total experience in data modeling and database design and experience in Retail domain will be added advantage.

 8+ years of experience in data engineering development and support.

 3+ years of experience in leading technical team of data engineers and BI engineers  Proficiency in data modeling tools such as Erwin, ER/Studio, or similar tools.

 Strong knowledge of Azure cloud infrastructure and development using SQL/Python/PySpark using ADF, Synapse and Databricks.

 Hands-on experience with Azure Data Factory, Azure Synapse Analytics, Azure Analysis Services, Azure Databricks, Blob Storage, Python/PySpark, Logic Apps, Key Vault, and Azure functions.

 Strong communication, interpersonal, collaboration skills along with leadership capabilities.

 Ability to work effectively in a fast-paced, dynamic environment as cloud SME.

 Act as single point of contact for all kinds of data management related queries to make data decisions.

 Design and manage centralized, end-to-end data architecture solutions, such as- Data model designs, Database development standards, Implementation and management of data warehouses, Data analytics systems.

 Conduct continuous audits of data management system performance and refine where necessary.

 Identify bottlenecks, optimize queries, and implement caching mechanisms to enhance data processing speed.

 Work to integrate disparate data sources, including internal databases and external application programming interfaces (APIs), enabling organizations to derive insights from a holistic view of the data.

 Ensure data privacy measures comply with regulatory standards.Preferred

* Azure Data Factory (ADF), Databricks certification is a plus.

* Data Architect or Azure cloud Solution Architect certification is a plus.Technologies we use: Azure Data Factory, Databricks, Azure Synapse, Azure Tabular, Azure Functions, Logic Apps, Key Vault, DevOps, Python, PySpark, Scripting (PowerShell, Bash), Git, Terraform, Power BI, Snowflake

Data Scientist (IT)Position:

Data ScientistJob type:

Techno-FunctionalPreferred education qualifications:

Bachelor/ Master's degree in Statistics, Operation Research, Computer Science, Data Science OR related quantitative fieldJob location:

IndiaGeography:

SAPMENARequired experience:

6-8 YearsPreferred profile/ skills:



§ 5+ years in developing and implementing forecasting models

§ [Mandatory] Proven track record in data analysis (EDA, profiling, sampling), data engineering (wrangling, storage, pipelines, orchestration)

§ [Mandatory] Proven expertise in time series analysis, regression analysis, and other statistical modelling techniques

§ [Mandatory] Experience in ML algorithms such as ARIMA, Prophet, Random Forests, and Gradient Boosting algorithms (XGBoost, LightGBM, CatBoost)

§ [Mandatory] Experience in model explainability with Shapley plot and data drift detection metrics.

§ [Mandatory] Strong programming & analysis skills with Python and SQL, including experience with relevant forecasting packages

§ [Mandatory] Prior experience on Data Science & ML Engineering on Google Cloud

§ [Mandatory] Proficiency in version control systems such as GitHub

§ [Mandatory] Strong organizational capabilities; and ability to work in a matrix/ multidisciplinary team

§ [Mandatory] Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical audience

§ Experience in Beauty or Retail/FMCG industry is preferred

§ Experience in handling large volume of data (>100 GB)

§ Experience in delivering AI-ML projects using Agile methodologies is preferred

§ Proven ability to work proactively and independently to address product requirements and design optimal solutionsJob objectives:

Design, develop, implement, and maintain data science and machine learning solutions to meet enterprise goals. Collaborate with cross-functional teams to leverage statistical modeling, machine learning, and data mining techniques to improve forecast accuracy and aid strategic decision-making across the organization. Scale the proven AI-ML Product across the SAPMENA region.Job description:§ Deep understanding of business/functional needs, problem statements and objectives/success criteria

§ Develop and maintain sophisticated statistical forecasting models, incorporating factors such as seasonality, promotions, media, traffic and other economic indicators

§ Collaborate with internal and external stakeholders including business, data scientists & product team to understand the business and product needs and translate them into actionable data-driven solutions

§ Review MVP implementations, provide recommendations and ensure Data Science best practices and guidelines are followed

§ Evaluate and compare the performance of different forecasting models, recommending optimal approaches for various business scenarios

§ Analyze large and complex datasets to identify patterns, insights, and potential risks and opportunities

§ Communicate forecasting results and insights to both technical and non-technical audiences through clear visualizations and presentations

§ Stay up to date with the latest advancements in forecasting techniques and technologies, continuously seeking opportunities for improvement

§ Contribute to the development of a robust data infrastructure for AI-ML solutions, ensuring data quality and accessibility

§ Collaborate with other data scientists and engineers to build and deploy scalable AI-ML solutions

Job RequirementsEducation

* Bachelor's degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.)

* Master's degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.)Relevant Experience

* 5 - 7 years for Data Scientist

* Relevant working experience in a data science/advanced analytics roleBehavioural Skills

* Delivery Excellence

* Business disposition

* Social intelligence

* Innovation and agilityExperience

* Functional Analytics (Supply chain analytics, Marketing Analytics, Customer Analytics, etc.)

* Statistical modelling using Analytical tools (R, Python, KNIME, etc.)

* Knowledge of statistics and experimental design (A/B testing, hypothesis testing, causal inference)

* Practical experience building scalable ML models, feature engineering, model evaluation metrics, and statistical inference.

* Practical experience deploying models using MLOps tools and practices (e.g., MLflow, DVC, Docker, etc.)

* Strong coding proficiency in Python (Pandas, Scikit-learn, PyTorch/TensorFlow, etc.)

* Big data technologies & framework (AWS, Azure, GCP, Hadoop, Spark, etc.)

* Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational (MongoDB, DynamoDB) database management systems and Data Engineering tools

* Business intelligence & reporting (Power BI, Tableau, Alteryx, etc.)

* Microsoft Office applications (MS Excel, etc.)Roles & Responsibilities

Analytics & Strategy

1. Analyse large-scale structured and unstructured data; develop deep-dive analyses and machine learning models in retail, marketing, merchandising, and other areas of the business

2. Utilize data mining, statistical and machine learning techniques to derive business value from store, product, operations, financial, and customer transactional data

3. Apply multiple algorithms or architectures and recommend the best model with in-depth description to evangelize data-driven business decisions

4. Utilize cloud setup to extract processed data for statistical modelling and big data analysis, and visualization tools to represent large sets of time series/cross-sectional dataOperational Excellence

1. Follow industry standards in coding solutions and follow programming life cycle to ensure standard practices across the project

2. Structure hypothesis, build thoughtful analyses, develop underlying data models and bring clarity to previously undefined problems

3. Partner with Data Engineering to build, design and maintain core data infrastructure, pipelines and data workflows to automate dashboards and analysesStakeholder Engagement

1. Working collaboratively across multiple sets of stakeholders - Business functions, Data Engineers, Data Visualization experts to deliver on project deliverables

2. Articulate complex data science models to business teams and present the insights in easily understandable and innovative formats