Product Manager

Position : Lead – Java Full Stack Developer

Experience : 7 to 12 Years

Location : Kochi / Thiruvananthapuram / Remote

Notice Period : Immediate to 15 Days

Open Positions : 1

Role Overview :

We are looking for a Lead Java Full Stack Developer with strong expertise in Java (Java 21, Spring Boot, and Hibernate), Angular (v19), and AWS to lead agile scrum teams and drive end-to-end feature delivery.

Key Skills Required :

• Java 21, Spring Boot MVC, Spring Data, Hibernate, Gradle
• Angular 19, HTML5, CSS3, JavaScript, REST APIs
• PostgreSQL / RDBMS / NoSQL
• AWS services: S3, Secrets Manager, CloudWatch
• CI/CD (Jenkins, GitHub), Docker
• Unit Testing (Jasmine/Karma or Jest)
• Tools: JIRA, Azure DevOps, Confluence
• Strong in design patterns, OOPs concepts, and performance optimization
• Excellent debugging and communication skills

Responsibilities :

• Design, develop, and deploy scalable full stack solutions
• Lead sprint tasks, perform code reviews, and ensure code quality
• Collaborate with stakeholders and convert requirements into technical specs
• Participate in Agile ceremonies and follow DevOps/CI-CD best practices
• Guide team members and promote technical best practices

Interview Process :

1. Technical Round
2. 2–3 Technical Rounds
3. Final Technical Discussion

Backend Developer responsible for managing back-end services and the interchange of data between the server and the users.

Your primary focus will be the development of all server side logic, definition and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end.

We are looking to recruit a candidate for a role that will require:

• Create and consume restful APIs
• Design, develop, and maintain internal and external applications
• Build efficient, testable, and reusable modules
• Write high quality, structured application/interface code and documentation
• Identify solutions through research and collaboration that resolves the root of problems as they arise
• Define functional and technical requirements for application software to develop skills and knowledge
• Troubleshoot, test and maintain the core product software and databases to ensure strong optimization and functionality
• Contribute in all phases of the development lifecycle

Requirement

∙ Proficient in Node.JS

∙ 2+ years’ experience designing, querying, and updating databases in MySQL/nosql 

∙ Passion for best design and coding practices and a desire to develop new bold ideas

∙ Good to have knowledge of AWS, Redis, ElasticSearch

Education: Min. Graduate in related discipline

Work experience: 2 years relevant experience

JOB SYNOPSIS

We are looking for an SEO - Executive / Sr. Executive to manage all search engine optimization and marketing activities.

You will be responsible for managing all SEO activities such as content strategy, link building and keyword strategy to increase leads, traffic & rankings.

JOB RESPONSIBILITIES

• Performing ongoing keyword research including discovery and expansion of keyword opportunities
• Researching and implementing content recommendations for organic SEO success
• Track, report and analyze website analytics 
• Perform ongoing keyword discovery, expansion, and optimization
• Research and implement the latest search engine optimization recommendations and best practices
• Develop and implement link building strategy
• Work with the development team to ensure SEO best practices are properly implemented on newly developed code
• Work with editorial and marketing teams to drive SEO in content creation and content programming
• Recommend changes to website architecture, content, linking, and other factors to improve SEO positions for target keywords.
• Identify and fix technical SEO issues rapidly, including architecture, crawlability and indexability, broken links, etc.
• Will be responsible for achieving targets in terms of leads, ranking, and traffic on-page and off-page activities.

JOB REQUIREMENTS

• 2-5 years of experience as an SEO Strategist or similar role
• Proven SEO experience
• In-depth experience with website analytics tools (e.g, Google Analytics, Google Webmaster, Ahref, SE Ranking, etc)
• Knowledge of ranking factors and search engine algorithms
• Up-to-date with the latest trends and best practices in SEO 
• Develop and implement an SEO strategy that reflects the business needs and drives strong traffic increase
• Ability to analyze and show the competitive keyword ranking on major search engines like Google, Yahoo, and Bing.
• Strong organizational, time management, and analytical skills
• Team player
• Experience with Social media is a plus
• Excellent Written Skills

§ Experience of developing web based enterprise wide applications in .NET4.5 (C#, ASP.NET), WCF, WPF, AJAX etc

§ Understanding of enterprise application development and deployment.

§ Good understanding OOPS and Design Patterns and experience of tools like Enterprise Architect.

§ Good knowledge of RDBMS design, programming and DBA concepts and experience of working in SQL Server and Oracle databases.

§ Good Design, Coding and Testing skills.

§ Knowledge and exposure to Service Oriented Architecture, Enterprise Service Bus and application Integration (using middleware).

§ Experience of working in electricity utility domain – preferably in EA/AMR/AMI/EMS/IT System Integration/ERP (for Utilities) projects

§ Mobility based software development, GPRS, GSM Knowledge of BI tools implementation.

§ Experience in mobility based applications will be an added advantage.

• Java 8, Spring Boot, Java Microservices
• REST API’s
• Angular 11, HTML5, CSS3, Bootstrap
• SQL DB
• Azure/AWS
• Kafka

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.

• Design of the overall architecture of the web application.
• Optimization of the application for maximum speed and scalability.
• Solve complex performance problems and architectural challenges.
• Integration of user-facing elements developed by front-end developers with server-side logic.
• Learn and use core AWS technologies to design and then build available and scalable backend web services and customer-facing APIs.
• Troubleshoot and debug support issues and code blues autonomously.
• Assure quality of the solutions being developed within the team.
• Maintain technical mastery of the products being developed.
•  Person with a track record of delivering innovative solutions in the field of algorithm development.

• Strong knowledge of PHP frameworks such as Laravel Symfony etc. depending on your technology stack.
• Experience in working with MySQL database and analyzing the efficiency of queries.
• Worked with real time web applications and event driven architectures like Node.js or jQuery.
• Full-cycle PHP code development experience including debugging and performance analysis.
• Building scalable and performance oriented services with caching techniques and systems like Memcached, redis.
• Experience with NoSQL and distributed database like MongoDB, Cassandra or Redis.
• Comfortable with search engines like Solr or ElasticSearch.
• Working understanding of NGINX and Apache web servers.
• Working knowledge of RESTful paradigms and to build API for our front services and mobile applications.
• Passion for products, empathy for users, and aspiration to make big impact.
• Strong database design and query writing skills with a commitment to performance and efficiency.
• Solid engineering principles and clear understanding of data structures and algorithms.
• Knowledge of service-oriented architecture, microservices, and distributed systems.
• Strong problem-solving skills, algorithmic skills, and data structures.
• Experience in agile methodologies like Scrum.
• Good understanding of branching, build, deployment, continuous integration methodologies.