Data Engineer

JOB TITLE – BACKEND DEVELOPER

Company’s Profile- VectorStack is a dynamic and creative leader in the IT industry. In addition to providing high-quality, high-value goods, consulting, and support services all in one package, we are dedicated to fostering innovation and providing our clients with outstanding solutions. We offer 24/7 service with an unwavering dedication to quality, guaranteeing prompt resolution of any issues.

Job Summary: We are seeking a skilled and experienced Senior Back-end Engineer proficient in Java to join our dynamic team. The ideal candidate will have 4-8 years of hands-on experience in Java development, particularly in building robust back-end systems and microservices architecture. As a Senior Back-end Engineer, you will collaborate with cross-functional teams to design, develop, and deploy scalable and efficient back-end solutions to support our products and services.

Responsibilities:

1.        Design, develop, and maintain high-performance backend systems and microservices using

Java.

2.        Collaborate with product managers, front-end engineers, and other stakeholders to understand requirements and translate them into technical specifications.

3.        Implement best practices in software development, including code reviews, testing, and documentation.

4.        Optimize and refactor existing codebase for improved performance, scalability, and maintainability.

5.        Troubleshoot and debug issues in production environments and provide timely resolutions.

6.        Stay updated with industry trends and emerging technologies to propose innovative solutions and improvements.

7.        Mentor junior engineers and contribute to their professional growth and development.

8.        Participate in agile ceremonies such as sprint planning, stand-ups, and retrospectives.

Requirements:

1.                  Bachelor's degree in Computer Science, Engineering, or a related field.

2.                  3+years of professional experience in backend development with a focus on Java.

3.                  Strong proficiency in Java programming language and its ecosystem.

4.                  Experience with building scalable and distributed systems using a microservices architecture.

5.                  Proficiency in Spring Framework (Spring Boot, Spring MVC, Spring Data, etc.).

6.                  Solid understanding of relational and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB).

7.                  Experience with RESTful API design and implementation.

8.                  Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.

9.                  Knowledge of containerization and orchestration tools like Docker and Kubernetes is a plus.

10.              Excellent problem-solving skills and attention to detail.

11.              Strong communication and collaboration skills.

12.              Ability to work independently and in a team-oriented environment.

13.              Experience with Agile/Scrum methodologies.

Preferred Qualifications:

1.                  Master's degree in Computer Science or a related field.

2.                  Experience with DevOps practices and CI/CD pipelines.

3.                  Knowledge of reactive programming frameworks like Akka or Vert. x.

4.                  Familiarity with message broker systems such as Kafka or RabbitMQ.

5.                  Contributions to open-source projects or active participation in the developer community.

We are seeking a skilled Laravel Software Engineer to join our team. The successful candidate will be responsible for designing, developing, and maintaining software programs using PHP/Laravel and related technologies. The ideal candidate will be responsible for developing high-quality applications. They will also be responsible for designing and implementing testable and scalable code.

Roles:

• Design, develop, and maintain software programs using PHP/Laravel, MySQL and other related technologies.
• Write clean, efficient, and well-documented code.
• Troubleshoot and debug software issues.
• Ensure compliance with industry best practices and standards.
• Collaborate with cross-functional teams to deliver high-quality software solutions.
• Contribute to the development of software architecture, design, and infrastructure.
• Implement and maintain security protocols and procedures.

Competencies:

• Strong experience with Laravel and related technologies such as PHP, MySQL
• Experience with front-end technologies such as Vue.js
• Strong understanding of Agile development methodologies.
• Experience with database technologies such as MySQL
• Strong analytical and problem-solving skills.
• Good verbal and written communication skills.
• Ability to work effectively in a team environment.
• B-Tech in Computer Science, Engineering or a related field.

We offer a competitive salary, benefits package, and an exciting and innovative work environment. If you have a passion for software development and are excited about working on cutting-edge technologies, please apply today.

We're looking for a Data Entry Executive who is down to earth and is willing to learn. In this role, most of your time is likely to be spent on data entry related tasks.

Responsibilities

->Collecting and managing data.

-> Maintaining documents and sheets, updating changes.

->Maintaining bills and expense invoices

->Data entry tasks

Qualifications

-> Candidates must have good computer knowledge and typing skills.

-> Web browsing and data collection from the internet

• Working closely with sales and operations & Sales team on all diversity involving recruitment to ensure fairness in hiring practices
• Using various methods to recruit and network with potential candidates including social media platforms, networking events, job fairs, job portals and campus hiring
• Ensuring proper onboarding for new hires and the necessary paperwork is completed promptly and accurately
• Providing feedback to management about details regarding applications
• Using standardized screening techniques, Assess the skills, qualifications and experience of potential candidates
• Coordinating the hiring process end-to-end

What you need to have:

• Proven experience of 4-6 years as a Talent Acquisition Specialist, TA lead, or similar role
• Should have experience into sales hirings and building sales teams
• Edu-tech experience preferred.
• Hands-on experience with the largest job sites like, Indeed, LinkedIn and Campus Hiring
• Experience with full-cycle recruiting, using various interview techniques and evaluation methods
• Familiarity with applicant tracking systems
• Strong interpersonal skills and communication skills
• Team spirit

What you need to have:

About Turing:

Turing enables U.S. companies to hire the world’s best remote software engineers. 100+ companies including those backed by Sequoia, Andreessen, Google Ventures, Benchmark, Founders Fund, Kleiner, Lightspeed, and Bessemer have hired Turing engineers. For more than 180,000 engineers across 140 countries, we are the preferred platform for finding remote U.S. software engineering roles. We offer a wide range of full-time remote opportunities for full-stack, backend, frontend, DevOps, mobile, and AI/ML engineers.

We are growing fast (our revenue 15x’d in the past 12 months and is accelerating), and we have raised $14M in seed funding (https://tcrn.ch/3lNKbM9">one of the largest in Silicon Valley) from:

• Facebook’s 1st CTO and Quora’s Co-Founder (Adam D’Angelo)
• Executives from Google, Facebook, Square, Amazon, and Twitter
• Foundation Capital (investors in Uber, Netflix, Chegg, Lending Club, etc.)
• Cyan Banister
• Founder of Upwork (Beerud Sheth)

We also raised a much larger round of funding in October 2020 that we will be publicly announcing over the coming month. 

Some articles about Turing:

• https://techcrunch.com/2020/08/25/turing-raises-14m-to-help-source-vet-place-and-manage-remote-developers-in-tech-jobs/">TechCrunch: Turing raises $14M seed to help source, vet, place, and manage remote developers
• https://www.theinformation.com/articles/six-startups-prospering-during-coronavirus">The Information: Six Startups Prospering During Coronavirus
• https://medium.com/@cyanbanister/turing-helps-the-world-level-up-ff44b4e6415d">Cyan Banister: Turing Helps the World Level Up
• https://turing.com/boundarylessblog/2019/10/the-future-of-work-is-remote/the-future-of-work/">Jonathan Siddharth (Turing CEO): The Future of Work is Remote.

Turing is led by successful repeat founders Jonathan Siddharth and Vijay Krishnan, whose last A.I. company leveraged elite remote talent and had a successful acquisition. (https://techcrunch.com/2017/02/23/revcontent-acquires-rover/">Techcrunch story). Turing’s leadership team is composed of ex-Engineering and Sales leadership from Facebook, Google, Uber, and Capgemini.

About the role:

Software developers from all over the world have taken 200,000+ tests and interviews on Turing. Turing has also recommended thousands of developers to its customers and got customer feedback in terms of customer interview pass/fail data and data from the success of the collaboration with a U.S customer. This generates a massive proprietary dataset with a rich feature set comprising resume and test/interview features and labels in the form of actual customer feedback. Continuing rapid growth in our business creates an ever-increasing data advantage for us. 

We are looking for a Machine Learning Scientist who can help solve a whole range of exciting and valuable machine learning problems at Turing. Turing collects a lot of valuable heterogeneous signals about software developers including their resume, GitHub profile and associated code and a lot of fine-grained signals from Turing’s own screening tests and interviews (that span various areas including Computer Science fundamentals, project ownership and collaboration, communication skills, proactivity and tech stack skills), their history of successful collaboration with different companies on Turing, etc. 

A machine learning scientist at Turing will help create deep developer profiles that are a good representation of a developer’s strengths and weaknesses as it relates to their probability of getting successfully matched to one of Turing’s partner companies and having a fruitful long-term collaboration. The ML scientist will build models that are able to rank developers for different jobs based on their probability of success at the job. 

     
 You will also help make Turing’s tests more efficient by assessing their ability to predict the probability of a successful match of a developer with at least one company. The prior probability of a registered developer getting matched with a customer is about 1%. We want our tests to adaptively reduce perplexity as steeply as possible and move this probability estimate rapidly toward either 0% or 100%; maximize expected information-gain per unit time in other words. 

As an ML Scientist on the team, you will have a unique opportunity to make an impact by advancing ML models and systems, as well as uncovering new opportunities to apply machine learning concepts to Turing product(s).

This role will directly report to Turing’s founder and CTO, https://www.linkedin.com/in/vijay0/">Vijay Krishnan. This is his https://scholar.google.com/citations?user=uCRc7DgAAAAJ&;hl=en">Google Scholar profile. 

Responsibilities:

• Enhance our existing machine learning systems using your core coding skills and ML knowledge.
• Take end to end ownership of machine learning systems - from data pipelines, feature engineering, candidate extraction, model training, as well as integration into our production systems.
• Utilize state-of-the-art ML modeling techniques to predict user interactions and the direct impact on the company’s top-line metrics.
• Design features and builds large scale recommendation systems to improve targeting and engagement.
• Identify new opportunities to apply machine learning to different parts of our product(s) to drive value for our customers.

Minimum Requirements:

• BS, MS, or Ph.D. in Computer Science or a relevant technical field (AI/ML preferred).
• Extensive experience building scalable machine learning systems and data-driven products working with cross-functional teams
• Expertise in machine learning fundamentals, applicable to search - Learning to Rank, Deep Learning, Tree-Based Models, Recommendation Systems, Relevance and Data mining, understanding of NLP approaches like W2V or Bert.
• 2+ years of experience applying machine learning methods in settings like recommender systems, search, user modeling, graph representation learning, natural language processing.
• Strong understanding of neural network/deep learning, feature engineering, feature selection, optimization algorithms. Proven ability to dig deep into practical problems and choose the right ML method to solve them.
• Strong programming skills in Python and fluency in data manipulation (SQL, Spark, Pandas) and machine learning (scikit-learn, XGBoost, Keras/Tensorflow) tools.
• Good understanding of mathematical foundations of machine learning algorithms.
• Ability to be available for meetings and communication during Turing's "coordination hours" (Mon - Fri: 8 am to 12 pm PST).

Other Nice-to-have Requirements:

• First author publications in ICML, ICLR, NeurIPS, KDD, SIGIR, and related conferences/journals. 
• Strong performance in Kaggle competitions.
• 5+ years of industry experience or a Ph.D. with 3+ years of industry experience in applied machine learning in similar problems e.g. ranking, recommendation, ads, etc.
• Strong communication skills.
• Experienced in leading large-scale multi-engineering projects.
• Flexible, and a positive team player with outstanding interpersonal skills.

Job description

• Experience working on Ful-time, c2c, W2-contract
• Candidates should have Good Knowledge and an overview of all Technologies in the market.
• Candidate should have strong experience in serving Corp-Corp requirements for Direct clients
• Facilitate the full lifecycle recruitment process for candidates by walking them through each step
• Experienced in all aspects of full-cycle recruiting to include requirement gathering, sourcing, resume evaluation, phone screening, interviewing, salary, and extending offers.
• Accuracy and the ability to follow through, capable of working independently in a high volume, fast-paced, deadline-oriented situation.