DevSecOps Engineer Mount Talent Consulting

5.0 - 10.0 years

20 - 35 Lacs

Hyderabad, Bengaluru, Delhi / NCR

Work from Office

DevSecOps Engineer Experience: 5 to 9 Years Budget: Up to 36 LPA Location: Hyderabad, Bangalore, Pune, Gurgaon, Chennai Notice Period: Immediate Joiners Only About the Role: Were seeking a skilled DevSecOps Engineer with a strong security mindset and hands-on experience in secure cloud deployments. This role demands practical knowledge of cloud platforms, Infrastructure as Code (IaC), CI/CD pipelines, and modern security tooling. You will be at the forefront of embedding security in every stage of the software development lifecycle. Key Skills & Responsibilities: Cloud: Experience with Azure or AWS IaC Tools: Expertise in Terraform Containerization: Working knowledge of Kubernetes CI/CD: Hands-on with any modern CI/CD tools (e.g., Jenkins, GitHub Actions, GitLab CI, etc.) Security Tools (any): WiZ, Snyk, Qualys, Mend, Checkmarx, Dependabot Secret Management: Experience with HashiCorp Vault or Akeyless DevSecOps: Strong experience in integrating security into DevOps pipelines Mandatory Requirement: Security experience is mandatory DevSecOps exposure is highly preferred

Posted 3 days ago

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Java Developer / Lead - JSP | EJB | REST & AWS - All Skills are Must Indo Tech Staffing Solutions

6.0 - 11.0 years

15 - 25 Lacs

Pune, Bengaluru

Work from Office

Need Only Immediate Joiners Must be Strong in JAVA, JSP, EJB, REST AND AWS Develop and maintain Java-based applications on AWS Familiarity with AWS services such as EC2, S3, Lambda, and RDS. Docker and Kubernetes

Posted 1 month ago

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Data Scientist Sourceright Technologies (India) Private Limited

6.0 - 12.0 years

8 - 10 Lacs

Bengaluru / Bangalore, Karnataka, India

On-site

Job description : 5+ years highly skilled Data Scientist, responsible for designing, developing, and maintaining large-scale data processing systems using cutting-edge technologies like Spark Streaming, Kafka, or similar technologies. The ideal candidate will have a strong background in object-oriented programming, data architecture, and cloud-based data management. The successful candidate will work closely with cross-functional teams to deliver complex data projects. Your role: Implement Real-time Data Processing Solutions: Design, develop, and deploy real-time data processing solutions using Spark Streaming and/or Kafka to handle high-volume, high-velocity data streams. Stream Processing Frameworks: Ability to develop / work on / maintain a near real-time stream processing frameworks to handle high-volume, high-velocity data streams, leveraging Spark Streaming and/or Kafka. Advanced Data Storage: Knowledge of advanced data storage formats like Apache Hudi or Apache Iceberg to optimize data storage, management, and retrieval. Code Quality and Maintainability: Develop and maintain high-quality, maintainable code using object-oriented programming principles, ensuring scalability, efficiency, and reliability. ETL Process Design and Implementation: Experience with designing and implementing ETL (Extract, Transform, Load) processes managing data pipelines, data transformation, and data loading. Collaboration and Communication: Collaborate with cross-functional teams, including data engineering, data analytics, software developers, testers, cloud architects and business stakeholders to deliver complex data projects, ensuring alignment with business objectives and technical requirements. Data Architecture and Security: Participate in designing and implementing data architectures, ensuring data security, governance, and compliance with organizational standards. What we need: masters or Ph.D. in Computer Science, Statistics, Mathematics, or related fields. 5+ years of experience in data science, data engineering, or related fields. Strong expertise in Spark Streaming and/or Kafka Hands on knowledge of Apache Hudi, Apache Iceberg, and AWS Glue. Very good proficiency in object-oriented programming languages (Java, Scala, Python). Experience with cloud-based data management (AWS, GCP, Azure). Strong understanding of data architecture, data modeling, and data governance. Excellent problem-solving skills, with the ability to work in a fast-paced environment. Strong communication and collaboration skills, with experience working in cross-functional teams. Experience with Agile development methodologies and version control systems (eg, Git).

Posted 1 month ago

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