
Opportunity to work with a Silicon Valley based security and governance
startup.
About Privacera:
Privacera, Inc is a California based start-up company that is looking for Software Engineers to work out of our
Mumbai based office. Privacera is a cloud-based product, which uses Cloud native services in AWS, Azure and
GCP. Privacera is a fast-growing start-up and provides many opportunities work on all Cloud services like AWS
S3, DynamoDB, Kinesis, RedShift, EMR, Azure ADLS, HDInsight, GCP GCS, GCP PubSub and other services.
https://www.privacera.com" target="_blank">https://www.privacera.com
About our company
Freestone Infotech is a global IT solutions company providing innovative best-in-class turnkey solutions to
enterprises worldwide and is a partner to Privacera in Mumbai.
http://www.freestoneinfotech.com" target="_blank"> http://www.freestoneinfotech.com
We are looking for motivated individuals who have worked on Cloud and Big Data or keen on working on Cloud
or Big Data services. If you want to work in a start-up culture and are ready for the challenge, then join us on
our exciting journey.
Job Description:
We are looking for a “QA Automation Engineer” to join our engineering team and help us develop and maintain
various test suites.
As a “QA Automation Engineer”, the responsibilities include developing automated scripts to verify the various
project functionalities, debugging programs and integrating applications with third-party web services. To be
successful in this role, you should have experience using API implementations and work well in a team.
Job Responsibilities:
Improve the quality of the product by creating scalable and optimized test cases.
Develop scripts to verify the overall product functionalities.
Test and debug various modules of the product.
Assess and prioritize feature requests of Test Suites / Framework.
Work closely with QA and development teams to improve test automation strategies for faster iteration.
Design and develop test cases/test suites at both API level and system levels.
Actively participate in test planning discussions to improve automation coverage
Job Requirement:
Good exposure to Test Automation, API Automation, Devops, SQL technologies and tools with
TDD/BDD.
Hands on experience with building and maintaining test automation frameworks.
Experience with Python programming language and various I/O libraries.
Knowledge of frameworks such as unit test, doctest and PyTest.
Knowledge of unit testing frameworks, mock objects etc.
Experience in Linux is a must.
Knowledge of Jupyter notebook and Jupyter ecosystem.
Good grasp of data structures such as sets, lists, dictionaries.
Good to have experience in DevOps using python scripts / framework.
Good to have experience in Ansible and Docker.
Understanding of Scrum/Agile & DevOps Process.
Working experience with tools/systems like Jira, GitHub, Confluence, CI/CD Pipeline using Jenkins,
Cloud Watch, Cloud Formation templates.
SQL knowledge will be a plus.
Good problem-solving skills.
Job Type: Full time (Permanent)
Domain: Security
Education and Experience:
Bachelors / Master’s degree in Computer Science or Information Technology or a related field.
Experience Required between 3 to 8 Years

About Freestone Infotech Pvt. Ltd.
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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.
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- Research and develop innovative, scalable and dynamic solutions to hard problems
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- 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
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- Mathematics, Mathematics and Mathematics
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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.
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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
- Proxy Incident Management
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Partner with product and UX peers to create beautiful consumer experiences that are consistent with the brand's identity and promise.











