Engineering Head

Job responsibilities

• Performs development, deployment, administration, management, configuration, testing, and integration tasks related to the cloud security platforms.
• Develops automated security and compliance capabilities in support of DevOps processes in a large-scale computing environment for the storage program within the firm.
• Champions a DevOps security model so that security is automated and elastic across all platforms and cultivate a cloud first mindset in transitioning workloads.
• Leverages DevOps tools to build, harden, maintain, and instrument a comprehensive security orchestration platform for infrastructure as code.
• Provides support to drive the maturity of the Cybersecurity software development lifecycle and develop & improve the quality of technical engineering documentation.
• Makes decisions of a global, strategic nature by analyzing complex data systems and incorporating knowledge of other lines of business & JPMC standards.
• Provides quality control of engineering deliverables, technical consultation to product management and technical interface between development and operations teams.

Required qualifications, capabilities, and skills

• Formal training or certification on Security engineering and 3+ years applied experience
• Proficiency in programming languages like Python or Java with strong coding skills
• Understanding of one or more Public Cloud platforms( AWS/ GCP/ Azure)
• Experience with highly scalable systems, release management, software configuration, design, development, and implementation is required
• Ability to analyzing complex data systems – failure analysis / root cause analysis, developing, improving, and maintaining technical engineering documentation

• Builds business by identifying and selling prospects; maintaining relationships with clients.
• Identifies business opportunities by identifying prospects and evaluating their position in the industry; researching and analyzing sales options.
• Sells products by establishing contact and developing relationships with prospects; recommending solutions.
• Maintains relationships with clients by providing support, information, and guidance; researching and recommending new opportunities; recommending profit and service improvements.
• Identifies product improvements or new products by remaining current on industry trends, market activities, and competitors.
• Prepares reports by collecting, analyzing, and summarizing information.
• Maintains quality service by establishing and enforcing organization standards.
• Maintains professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; benchmarking state-of-the-art practices; participating in professional societies.

Skill set required
• Contributes to team effort by accomplishing related results as needed.
• Presentation Skills
• Client Relationships
• Emphasizing Excellence
• Energy Level
• Negotiation
• Prospecting Skills
• Meeting Sales Goals
• Creativity
• Sales Planning
• Independence
• Motivation for Sales

Skills and requirements

• Experience analyzing complex and varied data in a commercial or academic setting.
• Desire to solve new and complex problems every day.
• Excellent ability to communicate scientific results to both technical and non-technical team members.

Desirable

• A degree in a numerically focused discipline such as, Maths, Physics, Chemistry, Engineering or Biological Sciences..
• Hands on experience on Python, Pyspark, SQL
• Hands on experience on building End to End Data Pipelines.
• Hands on Experience on Azure Data Factory, Azure Data Bricks, Data Lake - added advantage
• Hands on Experience in building data pipelines.
• Experience with Bigdata Tools, Hadoop, Hive, Sqoop, Spark, SparkSQL
• Experience with SQL or NoSQL databases for the purposes of data retrieval and management.
• Experience in data warehousing and business intelligence tools, techniques and technology, as well as experience in diving deep on data analysis or technical issues to come up with effective solutions.
• BS degree in math, statistics, computer science or equivalent technical field.
• Experience in data mining structured and unstructured data (SQL, ETL, data warehouse, Machine Learning etc.) in a business environment with large-scale, complex data sets.
• Proven ability to look at solutions in unconventional ways. Sees opportunities to innovate and can lead the way.
• Willing to learn and work on Data Science, ML, AI.

Looking for immediate joiners for Pune location only who are having good experience into B2b, Saas and in Field sales.

Team handling experience is compulsory.

MUST HAVE

• Design and implementation of the overall web architecture using React.js, Node.js, Mongo DB and AWS Lambda and Python
• Must have good knowledge of API
• Deployment and maintenance of AWS infrastructure -- Kubernetes, EC2, S3, Lambda
• Ensuring the entire stack is designed and built for speed and scalability
• Integrating our front-end UI with the constructed API
• Design and implementation of continuous integration
• Working knowledge of web-based application architectures and frameworks (including React) and the way it integrates with services.

Key Skillsets

• Node.js
• React.JS
• AWS
• MongoDB