11+ Metasploit Jobs in Mumbai | Metasploit Job openings in Mumbai

• OWASP Secure Code review,• Basic programing knowledge in any programming language and knowledge on secure development practices.
• OWASP TOP 10 vulnerabilities and their mitigations
• Hands on experience in Web Application Security Testing tools (SAST & DAST) and Penetration testing tools such as HP Fortify, Checkmarx, Acunetix, Nessus, Burp Suite, Metasploit., Qualys Guard, Kali Linux , etc.
• Understand/modify exploit code and find logical security flaws in applications
• Should have knowledge and experience on Network Security, Application Security, Internet Security, attack vectors.
• To carry out technical vulnerability assessments, identify potential vulnerabilities and provide recommended controls and support to mitigate them.

Strong performance marketer profile

Mandatory (Experience 1): Must have 2.5+ years of experience in performance marketing in B2C Fintech product companies

Mandatory (Tech Skills 1): Must have strong hands-on expertise in running campaigns on Google Ads, Meta Ads, LinkedIn Ads, Youtube, Whatsapp etc

Mandatory (Tech Skills 2): Must have 1+ experience in customer acquisition in FinTech, B2C

Mandatory (Tech Skills 3): Must have experience with Appsflyer, Branch, Mixpanel or similar analytical tools

Mandatory (Company): B2C Fintech Product companies (Targeted companies list given below)

To ensure the highest standards of health, safety, and environmental compliance and stewardship across all phases of operations within the solar panel and battery manufacturing plant. This role will lead the implementation of proactive risk mitigation strategies, promote a culture of safety, and ensure sustainable and legally compliant environmental practices.

Key Responsibilities

- Develop and implement the HSE vision, policies, and systems aligned with corporate objectives and government regulations.

- Guide the organization towards a safety-first culture with clear KPIs for safety performance.

- Influence cross-functional teams to incorporate HSE into business planning and operational execution.

- Ensure compliance with Indian and international HSE laws, including Factories Act, Environment Protection Act, and Battery Waste Management Rules.

- Liaise with regulatory bodies such as MoEFCC, MPCB, and DISH for necessary approvals, inspections, and reporting.

- Oversee implementation of safety procedures specific to solar cell manufacturing (e.g., chemical handling) and battery production (e.g., lithium-ion risks).

- Lead incident investigations, root cause analysis, and corrective action implementation.

- Monitor plant operations for potential environmental and safety hazards using modern risk assessment tools (e.g., HAZOP, FMEA).

- Design and execute regular safety drills, workshops, and certifications.

- Mentor site HSE managers and create a strong safety culture at all levels of the plant.

- Ensure behavioral safety programs and toolbox talks are embedded in daily routines.

- Sustainability and Environmental Management

- Develop programs for waste management, emissions control, water conservation, and clean energy usage.

- Implement ISO 14001 and ISO 45001 frameworks across the facility.

- Promote circular economy principles in battery lifecycle and solar module disposal.

Qualifications

- Bachelor's or Master's Degree in Environmental Science, Engineering, Occupational Health, or related field.

- NEBOSH/IOSH Certification or equivalent HSE qualification mandatory.

- 15+ years of experience, with at least 5 years in a leadership role in a large-scale manufacturing or energy plant.

- Deep understanding of solar and battery-specific safety and environmental risks.

Job Title: SAP TM Technical Consultant

Experience: Minimum 6 years in SAP TM (Technical)

Location: Pune, Mumbai, Gandhinagar, Bangalore (Onsite/Hybrid)

Employment Type: Full-time

Job Overview:

We are hiring for an experienced SAP TM Technical Consultant with strong hands-on in BOPF, BRF+, PPF, FPM and custom developments. The role requires in-depth technical exposure in SAP Transportation

Management including enhancements and integrations.

Must-Have Skills:

• 6+ years in SAP TM Technical
• BOPF, BRF+, PPF, FPM
• Custom enhancements, debugging
• ABAP for TM, object-oriented ABAP

Nice to Have:

• TM integration with EWM or S/4HANA
• Fiori/UI5 exposure in TM

• Product messaging and positioning
• Go to Market Strategies
• Content Development 
• Market, customer, and competitive analysis
• Designing & Evaluating Marketing Collaterals/ Promotional Plans
• Demand generation 
• Evangelism

• 5+ years of software development experience in Java 8+ and Microservices.
• Experience in developing micro services. Experience in developing High Cohesion & Loosely Coupled Micro Services.
• Experienced in skills of requirement, analysis, design, develop, Java, springboot, microservices, rest api, AWS, lambda, EC2, Jenkins, design pattern, spring security, splunk, auth, docker, SOLID
• Hands on experience on Microservices Architecture.
• Should have excellent acumen in Data Structures, algorithms, problem-solving and Logical/Analytical skills. Thorough understanding of OOPS concepts, Design principles and implementation of different type of Design patterns.
• Experience with Multithreading, Concurrent Package and Concurrent APIs
• Basic understanding of Java Memory Management (JMM) including garbage collections concepts.
• Experience in RDBMS or NO SQL databases and writing SQL queries (Joins, group by, aggregate functions, etc.)
• Hands-on experience with Message Broker like Kafka/Rabbitmq or other. Hands-on experience in creating RESTful webservices and consuming web services. Hands-on experience with spring Cloud/Spring Boot.
• Hands-on experience with any of the logging frameworks (SLF4J/LogBack/Log4j)
• Experience of writing Junit test cases using Mockito / Powermock frameworks. Should have practical experience with Maven/Gradle and knowledge of version control systems like Git/SVN etc.
• Hands on experience on Cloud deployment/development like AWS/Azure/GCP.
• Good communication skills and ability to work with global teams to define and deliver on projects. Sound understanding/experience in software development process, test-driven development.

• Gender Neutral /Diversified Culture
• 51 Leaves annually
• Insurance covered for family
• Incentives, Bonus
• Permanent WFH Option
• Generous parental leave and new parent transition program
• Flexible work arrangements

• Works towards developing Stable & Efficient Applications for
• Responsible for developing Applications which are Stable, Efficient and if required cross   
• Responsible to create Native Applications for Android to achieve best performance.
• Responsible for understanding best UI Practices
• Responsible for creating Application UI utilizing latest Google UI Guide lines.
• Qualification: B.E. / B.Tech / M.C.A. in Computer Sciences.
• Should have Experience of at least one production environment Application in Google Play Store. GIT, Agile Frameworks, Jenkins
• Must have Java, Android, C, and C++.

•  2 - 6 years of software development experience
•  Good grasp on programming fundamentals including OOP, Design Patterns and Data Structures
•  Excellent analytical, logical and problem-solving skills
• Software Development Engineer
• Good understanding of complexities involved in designing/developing large scale systems
• Strong system design skills
•  Experience in technologies like Elasticsearch, Redis, Kafka etc
• Good knowledge of relational and NoSQL databases
• Familiarity with common machine learning algorithms. In-depth knowledge is a plus
• Experience of working with big data technologies like Hadoop, Spark, Hive is a big plus
• Ability to understand business requirements and take ownership of the work
• Exhibit passion and enthusiasm for building and maintaining large scale platforms

ML Engineer-Analyst/ Senior Analyst

Job purpose:

To design and develop machine learning and deep learning systems. Run machine learning tests andexperiments and implementing appropriate ML algorithms. Works cross-functionally with the Data Scientists, Software application developers and business groups for the development of innovative ML models. Use Agile experience to work collaboratively with other Managers/Owners in geographically distributed teams.

Accountabilities:

• Work with Data Scientists and Business Analysts to frame problems in a business context. Assist all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.

• Understand business objectives and developing models that help to achieve them, along with metrics to track their progress.

• Explore and visualize data to gain an understanding of it, then identify differences in data distribution that could affect performance when deploying the model in the real world.

• Define validation strategies, preprocess or feature engineering to be done on a given dataset and data augmentation pipelines.

• Analyze the errors of the model and design strategies to overcome them.
• Collaborate with data engineers to build data and model pipelines, manage the infrastructure and data pipelines needed to bring code to production and demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created.

Qualifications & Specifications

• Bachelor's degree in Engineering /Computer Science/ Math/ Statistics or equivalent. Master's degree in relevant specification will be first preference

• Experience of machine learning algorithms and libraries
• Understanding of data structures, data modeling and software architecture.
• Deep knowledge of math, probability, statistics and algorithms
• Experience with machine learning platforms such as Microsoft Azure, Google Cloud, IBM Watson, and Amazon

• Big data environment: Hadoop, Spark
• Programming languages: Python, R, PySpark
• Supervised & Unsupervised machine learning: linear regression, logistic regression, k-means

clustering, ensemble models, random forest, svm, gradient boosting

• Sampling data: bagging & boosting, bootstrapping
• Neural networks: ANN, CNN, RNN related topics
• Deep learning: Keras, Tensorflow
• Experience with AWS Sagemaker deployment and agile methodology