11+ Log management Jobs in Chennai | Log management Job openings in Chennai

We are seeking a Security Program Manager to effectively drive Privacy & Security Programs in collaboration with cross functional teams. You will partner with engineering leadership, product management and development teams to deliver more secure products.

Roles & Responsibilities:

• Work with multiple stakeholders across various departments such as IT, Engineering, Business, Legal, Finance etc to implement controls defined in policies and processes.
• Manage projects with security and audit requirements with internal and external teams and serve as a liaison among all stakeholders.
• Managing penetration tests and security reviews for core applications and APIs.
• Identify, create and guide on privacy and security requirements considering applicable Data Protection Laws and implement them across software modules developed at Netmeds.
• Brainstorm with engineering teams to figure out how privacy and security controls can be applied to Netmeds tech stack.
• Coordination with Infra Teams and Dev Teams on DB and application hardening, standardization of server images / containerization.
• Assess vendors' security posture before onboarding them and after they qualify, review their security posture at a set frequency.
• Manage auditors and ensure compliance for ISO 27001 and other data privacy audits.
• Answer questions or resolve issues reported by the external security researchers & bug bounty hunters.
• Investigate privacy breaches.
• Educate employees on data privacy & security.
• Prioritize security requirements based on their severity of impact and product roadmap.
• Maintain a balance of security and business values across the organisation.

 Required Skills:

• Web Application Security, Mobile Application Security, Web Application Firewall, DAST, SAST, Cloud Security (AWS), Docker Security, Manual Penetration Testing.
• Good hands-on experience in handling tools such as vulnerability scanners, Burp suite, patch management, web filtering & WAF.

• Familiar with cloud hosting technologies (ex. AWS, Azure). Understanding of IAM, RBAC, NACLs, and KMS.

• Experience in Log Management, Security Event Correlation, SIEM.
• Must have strong interpersonal skills and should be able to communicate complex ideas seamlessly in written and verbal communication.

Good to Have Skills:

• Online Fraud Prevention.
• Bug Bounty experience.
• Security Operations Center (SOC) management.
• Experience with Amazon AWS services (EC2, S3, VPC, RDS, Cloud watch).
• Experience / Knowledge on tools like Fortify and Nessus.
• Experience in handling logging tools on docker container images (ex. Fluentd).

About Moative

Moative, an Applied AI company, designs and builds transformation AI solutions for traditional industries in energy, utilities, healthcare & lifesciences, and more. Through Moative Labs, we build AI micro-products and launch AI startups with partners in vertical markets that align with our theses.

Our Past: We have built and sold two companies, one of which was an AI company. Our founders and leaders are Math PhDs, Ivy League University Alumni, Ex-Googlers, and successful entrepreneurs.

Our Team: Our team of 20+ employees consist of data scientists, AI/ML Engineers, and mathematicians from top engineering and research institutes such as IITs, CERN, IISc, UZH, Ph.Ds. Our team includes academicians, IBM Research Fellows, and former founders.

Work you’ll do

As a Data Engineer, you will work on data architecture, large-scale processing systems, and data flow management. You will build and maintain optimal data architecture and data pipelines, assemble large, complex data sets, and ensure that data is readily available to data scientists, analysts, and other users. In close collaboration with ML engineers, data scientists, and domain experts, you’ll deliver robust, production-grade solutions that directly impact business outcomes. Ultimately, you will be responsible for developing and implementing systems that optimize the organization’s data use and data quality.

Responsibilities

• Create and maintain optimal data architecture and data pipelines on cloud infrastructure (such as AWS/ Azure/ GCP)
• Assemble large, complex data sets that meet functional / non-functional business requirements
• Identify, design, and implement internal process improvements
• Build the pipeline infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
• Support development of analytics that utilize the data pipeline to provide actionable insights into key business metrics
• Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs

Who you are

You are a passionate and results-oriented engineer who understands the importance of data architecture and data quality to impact solution development, enhance products, and ultimately improve business applications. You thrive in dynamic environments and are comfortable navigating ambiguity. You possess a strong sense of ownership and are eager to take initiative, advocating for your technical decisions while remaining open to feedback and collaboration. 

You have experience in developing and deploying data pipelines to support real-world applications. You have a good understanding of data structures and are excellent at writing clean, efficient code to extract, create and manage large data sets for analytical uses. You have the ability to conduct regular testing and debugging to ensure optimal data pipeline performance. You are excited at the possibility of contributing to intelligent applications that can directly impact business services and make a positive difference to users.

Skills & Requirements

• 3+ years of hands-on experience as a data engineer, data architect or similar role, with a good understanding of data structures and data engineering.
• Solid knowledge of cloud infra and data-related services on AWS (EC2, EMR, RDS, Redshift) and/ or Azure.
• Advanced knowledge of SQL, including writing complex queries, stored procedures, views, etc.
• Strong experience with data pipeline and workflow management tools (such as Luigi, Airflow).
• Experience with common relational SQL, NoSQL and Graph databases.
• Strong experience with scripting languages: Python, PySpark, Scala, etc.
• Practical experience with basic DevOps concepts: CI/CD, containerization (Docker, Kubernetes), etc
• Experience with big data tools (Spark, Kafka, etc) and stream processing.
• Excellent communication skills to collaborate with colleagues from both technical and business backgrounds, discuss and convey ideas and findings effectively.
• Ability to analyze complex problems, think critically for troubleshooting and develop robust data solutions.
• Ability to identify and tackle issues efficiently and proactively, conduct thorough research and collaborate to find long-term, scalable solutions.

Working at Moative

Moative is a young company, but we believe strongly in thinking long-term, while acting with urgency. Our ethos is rooted in innovation, efficiency and high-quality outcomes. We believe the future of work is AI-augmented and boundary less. Here are some of our guiding principles:

• Think in decades. Act in hours. As an independent company, our moat is time. While our decisions are for the long-term horizon, our execution will be fast – measured in hours and days, not weeks and months.
• Own the canvas. Throw yourself in to build, fix or improve – anything that isn’t done right, irrespective of who did it. Be selfish about improving across the organization – because once the rot sets in, we waste years in surgery and recovery.
• Use data or don’t use data. Use data where you ought to but not as a ‘cover-my-back’ political tool. Be capable of making decisions with partial or limited data. Get better at intuition and pattern-matching. Whichever way you go, be mostly right about it.
• Avoid work about work. Process creeps on purpose, unless we constantly question it. We are deliberate about committing to rituals that take time away from the actual work. We truly believe that a meeting that could be an email, should be an email and you don’t need a person with the highest title to say that out loud.
• High revenue per person. We work backwards from this metric. Our default is to automate instead of hiring. We multi-skill our people to own more outcomes than hiring someone who has less to do. We don’t like squatting and hoarding that comes in the form of hiring for growth. High revenue per person comes from high quality work from everyone. We demand it.

If this role and our work is of interest to you, please apply. We encourage you to apply even if you believe you do not meet all the requirements listed above.  

That said, you should demonstrate that you are in the 90th percentile or above. This may mean that you have studied in top-notch institutions, won competitions that are intellectually demanding, built something of your own, or rated as an outstanding performer by your current or previous employers. 

The position is based out of Chennai. Our work currently involves significant in-person collaboration and we expect you to work out of our offices in Chennai.

Greetings!

Hiring for a leading Sweden based MNC for the below position

Role: CRM Developer - MS Dynamics

Experience: 4-10 years

Location: Chennai, Thane, Noida, Kolkata

Job Description:

As a senior developer you are taking the lead on all development with our D365 platform and are supporting and advising on all development tasks. You take a keen interest in all platform updates. You are challenged by cross-functional work and understand the Microsoft ecosystem known as Dynamics 365 (including the power platform) 

·        Familiar with Dynamics 365 F&O data model

·        Exceptional skills in java script or C# programming

·        Deep knowledge of configuration and development in Dataverse platform

·        Strong understanding of low code-no code concepts inside the power platform

·        Hands on experience from SQL server

·        Good understanding of relational data models

·        Familiar with integration patterns and modern integration technology

Interested candidates kindly apply!

Regards

Aishwarya

The Knowledge Graph Architect is responsible for designing, developing, and implementing knowledge graph technologies to enhance organizational data understanding and decision-making capabilities. This role involves collaborating with data scientists, engineers, and business stakeholders to integrate complex data into accessible and insightful knowledge graphs.

Work you’ll do

1. Design and develop scalable and efficient knowledge graph architectures.

2. Implement knowledge graph integration with existing data systems and business processes.

3. Lead the ontology design, data modeling, and schema development for knowledge representation.

4. Collaborate with IT and business units to understand data needs and deliver comprehensive knowledge graph solutions.

5. Manage the lifecycle of knowledge graph data, including quality, consistency, and updates.

6. Provide expertise in semantic technologies and machine learning to enhance data interconnectivity and retrieval.

7. Develop and maintain documentation and specifications for system architectures and designs.

8. Stay updated with the latest industry trends in knowledge graph technologies and data management.

The Team

Innovation & Technology anticipates how technology will shape the future and begins building future capabilities and practices today. I&T drives the Ideation, Incubation and scale of hybrid businesses and tech enabled offerings at prioritized offering portfolio and industry interactions.

It drives cultural and capability transformation from solely services – based businesses to hybrid businesses. While others bet on the future, I&T builds it with you.

I&T encompasses many teams—dreamers, designers, builders—and partners with the business to bring a unique POV to deliver services and products for clients.

Qualifications and Experience

Required:

1. Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.

2. 6-10 years of professional experience in data engineering with Proven experience in designing and implementing knowledge graph systems.

3. Strong understanding of semantic web technologies (RDF, SPARQL, GraphQL,OWL, etc.).

4. Experience with graph databases such as Neo4j, Amazon Neptune, or others.

5. Proficiency in programming languages relevant to data management (e.g., Python, Java, Javascript).

6. Excellent analytical and problem-solving abilities.

7. Strong communication and collaboration skills to work effectively across teams.

Preferred:

1. Experience with machine learning and natural language processing.

2. Experience with Industry 4.0 technologies and principles

3. Prior exposure to cloud platforms and services like AWS, Azure, or Google Cloud.

4. Experience with containerization technologies like Docker and Kubernetes

Experience creating PowerPoint slide decks and along with that experience in automating the PowerPoint slide creation using excel VBA Formats extracted data based on expected report output with batching capability and multiple data formatting requirements Consolidate and combine extracted data from multiple resources using automated tools excel, VBA macro, SQL database, and/or from different system/tools/Database in one single database using SQL queries to standardize data structure

Professional Attributes :
Gathers and analyse report requirements from stakeholders Identify the processing tool Excel / SQL and provide a robust solution which can be easily leveraged or extended to other domains Building complex VBA scripts to automate Excel spreadsheet processes

Experience:
Min 3 year experience

• 3-5  years of experience in development of Java based Web software solutions
•  
• Expertise in Full Stack Java development using Java frameworks and libraries such as Spring, Spring Boot, Hibernate and Maven with Oracle database
• Have knowledge and experience with at least one of the following frontend technologies: ReactJS or Angular 2+
• Knowledge of JavaScript, HTML5, CSS3
• Have good written and verbal English language communication skills with an ability to work effectively in an international environment 

Responsibilities:

• Drive innovation and manage product development teams within a fast paced, agile environment
• Cultivate an environment of continuous engineering improvement through mentoring, feedback, and metrics
• Recruit IT professionals with business and industry experience, and develop, reward and energize a competent, effective team within the technology organization.
• Lead software development teams, obtaining necessary resources, acting as an escalation point and removing impediments to achieve goals and objectives
• Engage in hands-on design and ensure alignment of strategy, architecture, tools/methods with software engineers and architects to execute product road-maps
• Collaborate with a wide variety to stakeholders within business and technology teams to drive change required to execute product road-maps
• Enable integrated teams to deliver technology solutions in support of key product initiatives by working closely with product managers, technical project managers, architects, engineers, and quality assurance