Automation Tester

• Experience in Core Java, CXF, Spring. 
• Experience in spring boot, microservices. 
• Extensive experience in developing enterprise-scale n-tier applications for the financial domain. Should possess good architectural knowledge and be aware of enterprise application design patterns. 
• Should have the ability to analyze, design, develop and test complex, low-latency client-facing applications. 
• Good development experience with RDBMS, preferably Sybase database 
• Good knowledge of multi-threading and high volume server side development 
• Experience in sales and trading platforms in investment banking/capital markets 
• Basic working knowledge of Unix/Linux 
• Excellent problem solving and coding skills in Java 
• Strong interpersonal, communication and analytical skills. 
• Should have the ability to express their design ideas and thoughts. 

We are looking for an upbeat Telemarketer to be responsible for contacting potential customers telephonically and informing them of our products and services. The Telemarketer will use a directory of contact numbers to phone individuals and read a scripted sales pitch to them.

To be successful as a Telemarketer you should have a positive attitude and excellent telephone etiquette. The ideal Telemarketer will remain calm and professional under pressure and always treat clients with respect.

Telemarketer Responsibilities:

• Contact potential clients telephonically.
• Read the prepared script when pitching the company's products and services.
• Provide any information that the client requests.

We are looking for a highly skilled Backend Developer with expertise in Core Java, Java 8, and Data Structures. The ideal candidate should have experience in Spring Boot, JPA/Hibernate, and Microservices architecture. If you are passionate about backend development and want to work in a dynamic environment, we’d love to hear from you!

Key Responsibilities:

• Develop and maintain backend applications using Core Java and Java 8.
• Design and implement RESTful and SOAP web services.
• Work with Spring Framework, Spring Boot, and JPA/Hibernate for backend development.
• Build and optimize microservices-based architectures.
• Manage databases such as PostgreSQL, MySQL, or Oracle.
• Collaborate with cross-functional teams to deliver high-quality software solutions.
• Write clean, efficient, and scalable code while following best practices.
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Requirements:

✅ Strong hands-on experience in Java (Core Java, Java 8) and Data Structures.

✅ Proficiency in Spring, Spring Boot, JPA/Hibernate.

✅ Experience in developing and consuming RESTful & SOAP APIs.

✅ Knowledge of Microservices architecture and best practices.

✅ Database expertise in PostgreSQL, MySQL, or Oracle.

✅ Excellent verbal and written communication skills.

Nice to Have:

• Experience with Docker/Kubernetes.
• Knowledge of CI/CD pipelines and DevOps practices.
• Exposure to cloud platforms (AWS, GCP, or Azure).

Job title: Content Writing-Head

Work Location: Gurgaon

Reports to: CEO 

Role Overview:

As The Head of Content Writing, you will play a pivotal role in shaping and executing our content strategy. This position requires a seasoned content professional with a strong editorial background, exceptional leadership skills, and a passion for creating high-impact content. The ideal candidate will lead a team of content writers and collaborate with cross-functional teams to deliver content that engages, educates, and inspires our target audience.

Roles and Responsibilities:

1. Develop and lead the content strategy, ensuring alignment with the company's brand, goals, and target audience.

2. Manage and mentor a team of content writers, setting clear expectations, providing feedback, and fostering a culture of creativity and excellence.

3. Ensure all content produced is of high quality, adheres to brand guidelines, and aligns with the company's messaging and tone.

4. Lead the creation of various types of content, including blog posts, articles, whitepapers, eBooks, and more, ensuring they meet the standards for accuracy, clarity, and creativity.

5. Work closely with other departments, including marketing, design, and product, to gather insights and ensure content aligns with overall business objectives and strategies.

6. Collaborate with the SEO team to incorporate best practices into content creation, improving search engine visibility and driving organic traffic.

7. Use analytics tools to measure the performance of content, providing insights and recommendations for continuous improvement.

8. Keep abreast of industry trends, content marketing best practices, and emerging technologies to ensure our content remains relevant and competitive.

Education and/or Work Experience Requirements:

• Bachelor's degree in English, Journalism, Communications, or a related field. Master's degree is a plus.

• 7+ years of experience in content writing, with a focus on leadership roles.

• Proven track record of developing and executing successful content strategies.

• Strong editorial skills with a keen eye for detail and storytelling.

• Excellent leadership and team management skills.

• Ability to collaborate effectively with cross-functional teams.

• Familiarity with SEO best practices and content optimization.

• Outstanding written and verbal communication skills.

Job Title: DevOps SDE llI

Job Summary

Porter seeks an experienced cloud and DevOps engineer to join our infrastructure platform team. This team is responsible for the organization's cloud platform, CI/CD, and observability infrastructure. As part of this team, you will be responsible for providing a scalable, developer-friendly cloud environment by participating in the design, creation, and implementation of automated processes and architectures to achieve our vision of an ideal cloud platform.

Responsibilities and Duties

In this role, you will

• Own and operate our application stack and AWS infrastructure to orchestrate and manage our applications.
• Support our application teams using AWS by provisioning new infrastructure and contributing to the maintenance and enhancement of existing infrastructure.
• Build out and improve our observability infrastructure.
• Set up automated auditing processes and improve our applications' security posture.
• Participate in troubleshooting infrastructure issues and preparing root cause analysis reports.
• Develop and maintain our internal tooling and automation to manage the lifecycle of our applications, from provisioning to deployment, zero-downtime and canary updates, service discovery, container orchestration, and general operational health.
• Continuously improve our build pipelines, automated deployments, and automated testing.
• Propose, participate in, and document proof of concept projects to improve our infrastructure, security, and observability.

Qualifications and Skills

Hard requirements for this role:

• 5+ years of experience as a DevOps / Infrastructure engineer on AWS.
• Experience with git, CI / CD, and Docker. (We use GitHub, GitHub actions, Jenkins, ECS and Kubernetes).
• Experience in working with infrastructure as code (Terraform/CloudFormation).
• Linux and networking administration experience.
• Strong Linux Shell scripting experience.
• Experience with one programming language and cloud provider SDKs. (Python + boto3 is preferred)
• Experience with configuration management tools like Ansible and Packer.
• Experience with container orchestration tools. (Kubernetes/ECS).
• Database administration experience and the ability to write intermediate-level SQL queries. (We use Postgres)
• AWS SysOps administrator + Developer certification or equivalent knowledge

Good to have:

• Experience working with ELK stack.
• Experience supporting JVM applications.
• Experience working with APM tools is good to have. (We use datadog)
• Experience working in a XaaC environment. (Packer, Ansible/Chef, Terraform/Cloudformation, Helm/Kustomise, Open policy agent/Sentinel)
• Experience working with security tools. (AWS Security Hub/Inspector/GuardDuty)
• Experience with JIRA/Jira help desk.

ROLE
Associate Product Manager

WHY SHOULD YOU JOIN US?
At Vidyakul, you will have the opportunity to impact 60 million state board students’ lives by growing India’s first truly vernacular e-learning platform for 9-12 class state board students.

WHO ARE WE and WHAT IS OUR MISSION?
● Vidyakul is a pre-Series A funded EdTech startup based out of Gurgaon, that is truly democratizing education for the masses.
● Our Investors:
○ We Founder Circle - Backed marquee brands such as BluSmart & Zypp Electric
○ JITO Angel Network - Backed Finance Peer, largest lender of EdTech
○ Dholakia Ventures - Backed by the Diamond King of Surat
● Our Founders:
○ Tarun Saini - 3X founder, 8 years experience in Sales & Marketing
○ Raman Garg - 3X founder, 7 years experience in Ecommerce and Tech
● We are bridging the gap between the villages and quality education at an affordable cost.
● We are growing fast (3X Q-o-Q) and wish for you to be part of this rocketship!

WHAT IS THE ROLE?
About the Role: This role requires someone who would:

- Be responsible for creating and delivering on the product roadmap - Interface with design, engineering, business and growth teams and drive the desired outcome
- Understand user behaviour and champion consumers needs and strive to deliver the absolute best consumer experience

- Grow product adoption and key app metrics

Expectations/Requirements:

- A passionate APM / Senior Product Associate with 3+ years of experience in Product Management

- Someone with an entrepreneurial mindset who enjoys taking end-to-end ownership of the product and work across stakeholders to achieve the desired objectives for the product

- A keen eye for understanding the end user and creating product-led solutions to bridge user need gaps

- Strong analytical skills, ability to define KPIs, KPI dashboards and success metrics.

- Prioritization: The PM should be able to carry out effective prioritization of user stories balancing between user experiences, business requirements, tech debts and resourcing. Superpowers/ Skills that will help you succeed in this role:

- Love for simplifying - Knowledge of product development processes - Being a leader and an inspiration to your entire team - Ability to take internal and external stakeholders along

We are looking for an outstanding ML Architect (Deployments) with expertise in deploying Machine Learning solutions/models into production and scaling them to serve millions of customers. A candidate with an adaptable and productive working style which fits in a fast-moving environment.

Skills:

- 5+ years deploying Machine Learning pipelines in large enterprise production systems.

- Experience developing end to end ML solutions from business hypothesis to deployment / understanding the entirety of the ML development life cycle.
- Expert in modern software development practices; solid experience using source control management (CI/CD).
- Proficient in designing relevant architecture / microservices to fulfil application integration, model monitoring, training / re-training, model management, model deployment, model experimentation/development, alert mechanisms.
- Experience with public cloud platforms (Azure, AWS, GCP).
- Serverless services like lambda, azure functions, and/or cloud functions.
- Orchestration services like data factory, data pipeline, and/or data flow.
- Data science workbench/managed services like azure machine learning, sagemaker, and/or AI platform.
- Data warehouse services like snowflake, redshift, bigquery, azure sql dw, AWS Redshift.
- Distributed computing services like Pyspark, EMR, Databricks.
- Data storage services like cloud storage, S3, blob, S3 Glacier.
- Data visualization tools like Power BI, Tableau, Quicksight, and/or Qlik.
- Proven experience serving up predictive algorithms and analytics through batch and real-time APIs.
- Solid working experience with software engineers, data scientists, product owners, business analysts, project managers, and business stakeholders to design the holistic solution.
- Strong technical acumen around automated testing.
- Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
- Strong hands-on experience with statistical packages and ML libraries (e.g., Python scikit learn, Spark MLlib, etc.)
- Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.)
- Experience in developing and debugging in one or more of the languages Java, Python.
- Ability to work in cross functional teams.
- Apply Machine Learning techniques in production including, but not limited to, neuralnets, regression, decision trees, random forests, ensembles, SVM, Bayesian models, K-Means, etc.

Roles and Responsibilities:

Deploying ML models into production, and scaling them to serve millions of customers.

Technical solutioning skills with deep understanding of technical API integrations, AI / Data Science, BigData and public cloud architectures / deployments in a SaaS environment.

Strong stakeholder relationship management skills - able to influence and manage the expectations of senior executives.
Strong networking skills with the ability to build and maintain strong relationships with both business, operations and technology teams internally and externally.

Provide software design and programming support to projects.

 Qualifications & Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Machine Learning Architect (Deployments) or a similar role for 5-7 years.