Sr System Administrator

Required Qualifications:

• 5+ years of professional software development experience.
• Post-secondary degree in computer science, software engineering or related discipline, or equivalent working experience.
• Development of distributed applications with Microsoft technologies: C# .NET/Core, SQL Server, Entity Framework.
• Deep expertise with microservices architectures and design patterns.
• Cloud Native AWS experience with services such as Lambda, SQS, RDS/Aurora, S3, Lex, and Polly.
• Mastery of both Windows and Linux environments and their use in the development and management of complex distributed systems architectures.
• Git source code repository and continuous integration tools.

• Oversee the editing of all video content, ensuring it aligns with the creative vision and storytelling objectives.
• Manage the editing team, assigning projects, monitoring progress, and ensuring deadlines are met.
• Collaborate with Directors, Producers, and Motion Graphics Designers to create cohesive and engaging narratives.
• Maintain quality control on all output, ensuring that the final products meet the high standards expected by clients and stakeholders.
• Innovate and drive the adoption of new editing technologies and techniques to keep the agency at the forefront of the industry.

Job Description:

We are seeking a motivated DevOps intern to join our team. The intern will be responsible for deploying and maintaining applications in AWS and Azure cloud environments, as well as on client local machines when required. The intern will troubleshoot any deployment issues and ensure the high availability of the applications.

Responsibilities:

• Deploy and maintain applications in AWS and Azure cloud environments
• Deploy applications on client local machines when needed
• Troubleshoot deployment issues and ensure high availability of applications
• Collaborate with development teams to improve deployment processes
• Monitor system performance and implement optimizations
• Implement and maintain CI/CD pipelines
• Assist in implementing security best practices

Requirements:

• Currently pursuing a degree in Computer Science, Engineering, or related field
• Knowledge of cloud computing platforms (AWS, Azure)
• Familiarity with containerization technologies (Docker, Kubernetes)
• Basic understanding of networking principles
• Strong problem-solving skills
• Excellent communication skills

Nice to Have:

• Familiarity with configuration management tools (e.g., Ansible, Chef, Puppet)
• Familiarity with monitoring and logging tools (e.g., Prometheus, ELK stack)
• Understanding of security best practices in cloud environments

Benefits:

• Hands-on experience with cutting-edge technologies.
• Opportunity to work on exciting AI and LLM projects

JD-Backend Intern (NodeJs)

Internship Span – 6 Months (Fulltime)

Ventura Securities is establishing its fintech team - a remote-first, work from anywhere team with highly talented individuals who come from diverse backgrounds and looking to solve real client problems at scale. Ventura has been in the stockbroking business for 20+ years and it is a robust and profitable franchise with 1000+ employees currently. We are looking for passionate techies with skills primarily around AWS and Node’s/JS who are aspiring for a fast-track career.

Your Key Responsibilities: 

• Build out of the Ventura cloud-based backend platform from scratch

• Ownership and monitoring of our D2C backend

• Robust documentation skills and desire to share information with others

• Desire and ability to prototype ideas quickly, and be willing to experiment and learn

Basic Requirements:

• Very strong Nodejs, AWS Lambda, Postgres, ORM (Sequelize)

• Clean coding skills around Nodejs 

• Hands-on experience around writing testable code, working with git, doing peer-level code review, daily standups, and generally championing software excellence.

• Should have concepts cleared around Nodejs and JS

• Strong proficiency with JavaScript

• Ability to use Async programming to improve performance & productivity

• Strong problem solving skills with understanding of Data Structures and Algorithms.

• What you get: 

• Chance to build out a next-gen fintech product from ground 0

• Opportunity to influence the design of the product

• Flexible and work anywhere environment running out of Slack

• Flat org structure

• This internship is paid internship.

JOB TITLE - Product Development Engineer - Machine Learning
● Work Location: Hyderabad
● Full-time
 

Company Description

Phenom People is the leader in Talent Experience Marketing (TXM for short). We’re an early-stage startup on a mission to fundamentally transform how companies acquire talent. As a category creator, our goals are two-fold: to educate talent acquisition and HR leaders on the benefits of TXM and to help solve their recruiting pain points.
 

Job Responsibilities:

• Design and implement machine learning, information extraction, probabilistic matching algorithms and models
• Research and develop innovative, scalable and dynamic solutions to hard problems
• Work closely with Machine Learning Scientists (PhDs), ML engineers, data scientists and data engineers to address challenges head-on.
• Use the latest advances in NLP, data science and machine learning to enhance our products and create new experiences
• Scale machine learning algorithm that powers our platform to support our growing customer base and increasing data volume
• Be a valued contributor in shaping the future of our products and services
• You will be part of our Data Science & Algorithms team and collaborate with product management and other team members
• Be part of a fast pace, fun-focused, agile team

Job Requirement:

• 4+ years of industry experience
• Ph.D./MS/B.Tech in computer science, information systems, or similar technical field
• Strong mathematics, statistics, and data analytics
• Solid coding and engineering skills preferably in Machine Learning (not mandatory)
• Proficient in Java, Python, and Scala
• Industry experience building and productionizing end-to-end systems
• Knowledge of Information Extraction, NLP algorithms coupled with Deep Learning
• Experience with data processing and storage frameworks like Hadoop, Spark, Kafka etc.

Position Summary
We’re looking for a Machine Learning Engineer to join our team of Phenom. We are expecting the below points to full fill this role.

• Capable of building accurate machine learning models is the main goal of a machine learning engineer
• Linear Algebra, Applied Statistics and Probability
• Building Data Models
• Strong knowledge of NLP
• Good understanding of multithreaded and object-oriented software development
• Mathematics, Mathematics and Mathematics
• Collaborate with Data Engineers to prepare data models required for machine learning models
• Collaborate with other product team members to apply state-of-the-art Ai methods that include dialogue systems, natural language processing, information retrieval and recommendation systems
• Build large-scale software systems and numerical computation topics
• Use predictive analytics and data mining to solve complex problems and drive business decisions
• Should be able to design the accurate ML end-to-end architecture including the data flows, algorithm scalability, and applicability
• Tackle situations where problem is unknown and the Solution is unknown
• Solve analytical problems, and effectively communicate methodologies and results to the customers
• Adept at translating business needs into technical requirements and translating data into actionable insights
• Work closely with internal stakeholders such as business teams, product managers, engineering teams, and customer success teams.

Benefits

• Competitive salary for a startup
• Gain experience rapidly
• Work directly with the executive team
• Fast-paced work environment

About Phenom People

At PhenomPeople, we believe candidates (Job seekers) are consumers. That’s why we’re bringing e-commerce experience to the job search, with a view to convert candidates into applicants. The Intelligent Career Site™ platform delivers the most relevant and personalized job search yet, with a career site optimized for mobile and desktop interfaces designed to integrate with any ATS, tailored content selection like Glassdoor reviews, YouTube videos and LinkedIn connections based on candidate search habits and an integrated real-time recruiting analytics dashboard.

 Use Company career sites to reach candidates and encourage them to convert. The Intelligent Career Site™ offers a single platform to serve candidates a modern e-commerce experience from anywhere on the globe and on any device.

 We track every visitor that comes to the Company career site. Through fingerprinting technology, candidates are tracked from the first visit and served jobs and content based on their location, click-stream, behavior on site, browser and device to give each visitor the most relevant experience.

 Like consumers, candidates research companies and read reviews before they apply for a job. Through our understanding of the candidate journey, we are able to personalize their experience and deliver relevant content from sources such as corporate career sites, Glassdoor, YouTube and LinkedIn.

 We give you clear visibility into the Company's candidate pipeline. By tracking up to 450 data points, we build profiles for every career site visitor based on their site visit behavior, social footprint and any other relevant data available on the open web.

 Gain a better understanding of Company’s recruiting spending and where candidates convert or drop off from Company’s career site. The real-time analytics dashboard offers companies actionable insights on optimizing source spending and the candidate experience.

Kindly explore about the company phenom (https://www.phenom.com/">https://www.phenom.com/)
Youtube - https://www.youtube.com/c/PhenomPeople">https://www.youtube.com/c/PhenomPeople
LinkedIn - https://www.linkedin.com/company/phenompeople/">https://www.linkedin.com/company/phenompeople/

https://www.phenom.com/">Phenom | Talent Experience Management