Graphic Designer WFH Nightshift

The Senior Engineer – Windows Administration will be responsible for L2-level troubleshooting, configuration, and optimization of Windows Server and Client OS environments. The role spans operating system administration, backup and patch management, antivirus, monitoring, and Office 365 administration. The engineer will ensure compliance, security, and high availability of IT services while also supporting end-user environments.

Key Responsibilities:

OS Administration

• Perform OS-level troubleshooting for both Windows Server and Windows Client environments.
• Configure and manage network and security configurations across servers and client endpoints.
• Maintain documentation for OS configurations and updates.

Backup Management

• Fine-tune backup strategies for servers and critical client systems.
• Conduct regular backup and restore testing to validate data integrity and recovery capability.
• Respond effectively to incidents, including recovery from data loss.

Patch Management

• Troubleshoot failed patch deployments for servers and client endpoints.
• Ensure timely patch compliance with organizational security policies.

Antivirus Management

• Fine-tune antivirus policies for both server and endpoint environments.
• Resolve complex antivirus-related incidents and escalations.

Monitoring & Alerts

• Address and resolve advanced monitoring alerts across servers and client devices.
• Ensure proactive detection, reporting, and remediation of issues.

Office 365 Administration

• Manage Office 365 licenses and subscription allocations.
• Perform advanced troubleshooting of Office 365 services (Exchange Online, Teams, OneDrive).
• Implement governance and compliance controls for secure usage.

Qualifications & Skills

• Bachelor’s degree in computer science, Information Technology, or equivalent.
• 6 –8 years of experience in Windows Administration, with L2/L3 troubleshooting exposure.

Strong expertise in:

• Windows Server (2016/2019/2022) and Windows Client OS (Windows 10/11)
• Active Directory, DNS, DHCP, Group Policy
• Backup solutions and recovery processes, including periodic testing
• Patch and antivirus management across server and endpoint environments
• Office 365 administration (Exchange Online, Teams, OneDrive, Intune preferred)
• Familiarity with compliance frameworks (ISO/IEC 27001 preferred).
• Proficiency in PowerShell scripting and automation.
• Strong problem-solving, analytical, and documentation skills.
• Excellent communication and collaboration abilities.

Role: We are looking for a data-driven Growth Hacker with a proven track record of scaling B2C apps globally. The ideal candidate has experience in zero-cost growth hacking strategies and can demonstrate measurable success in user acquisition, retention, and revenue generation.

Key Responsibilities:

1. Propose & Execute Zero-Cost Growth Hacks: Identify and implement creative, scalable strategies to drive user growth without paid marketing.
2. Funnel Optimization: Design and optimize user acquisition funnels for maximum conversion.
3. Performance Tracking: Define key metrics (e.g., CAC, LTV, retention, virality) and track performance rigorously.
4. Experimentation: Rapidly test hypotheses, analyze results, and iterate for growth.
5. Cross-Channel Strategy: Leverage organic channels (SEO, viral loops, referrals, partnerships, PR, etc.) to drive scalable growth.

Position: AWS Data Engineer

Experience: 5 to 7 Years

Location: Bengaluru, Pune, Chennai, Mumbai, Gurugram

Work Mode: Hybrid (3 days work from office per week)

Employment Type: Full-time

About the Role:

We are seeking a highly skilled and motivated AWS Data Engineer with 5–7 years of experience in building and optimizing data pipelines, architectures, and data sets. The ideal candidate will have strong experience with AWS services including Glue, Athena, Redshift, Lambda, DMS, RDS, and CloudFormation. You will be responsible for managing the full data lifecycle from ingestion to transformation and storage, ensuring efficiency and performance.

Key Responsibilities:

• Design, develop, and optimize scalable ETL pipelines using AWS Glue, Python/PySpark, and SQL.
• Work extensively with AWS services such as Glue, Athena, Lambda, DMS, RDS, Redshift, CloudFormation, and other serverless technologies.
• Implement and manage data lake and warehouse solutions using AWS Redshift and S3.
• Optimize data models and storage for cost-efficiency and performance.
• Write advanced SQL queries to support complex data analysis and reporting requirements.
• Collaborate with stakeholders to understand data requirements and translate them into scalable solutions.
• Ensure high data quality and integrity across platforms and processes.
• Implement CI/CD pipelines and best practices for infrastructure as code using CloudFormation or similar tools.

Required Skills & Experience:

• Strong hands-on experience with Python or PySpark for data processing.
• Deep knowledge of AWS Glue, Athena, Lambda, Redshift, RDS, DMS, and CloudFormation.
• Proficiency in writing complex SQL queries and optimizing them for performance.
• Familiarity with serverless architectures and AWS best practices.
• Experience in designing and maintaining robust data architectures and data lakes.
• Ability to troubleshoot and resolve data pipeline issues efficiently.
• Strong communication and stakeholder management skills.

About the Role:

We are looking for a Performance Marketing Manager with hands-on experience in SaaS lead generation for Storefronts, Order Management Systems (OMS), Warehouse Management Systems (WMS), and Transport Management Systems (TMS). You will be responsible for planning, executing, and optimizing paid marketing campaigns to drive high-quality leads and conversions.

What will you do at Fynd?

• Develop and execute data-driven performance marketing campaigns across Google Ads, LinkedIn, Meta, and other paid channels.
• Generate high-intent leads for SaaS products catering to e-commerce, logistics, and supply chain industries - fynd storefront, fynd tms, fynd oms, fynd wms, fynd omnichannel solutions etc.
• Optimize campaigns for CPL, CAC, ROAS, and LTV while ensuring budget efficiency.
• Conduct A/B testing on ad creatives, landing pages, and messaging for maximum conversions.
• Utilize analytics tools (Google Analytics, HubSpot, CRM, etc.) to track performance and generate actionable insights.
• Work closely with content, design, and sales teams to align marketing strategies with business goals.
• Stay updated with the latest trends in B2B SaaS marketing, paid ads, and growth strategies.

Some Specific requirements:

• 4+ years of experience in performance marketing for B2B SaaS (experience in e-commerce, logistics, or supply chain is a plus).
• Proven expertise in Google Ads, LinkedIn Ads, Facebook Ads, and programmatic advertising.
• Strong understanding of SEO, PPC, conversion rate optimization (CRO), and attribution models.
• Hands-on experience with Google Analytics, HubSpot, Marketo, or other marketing automation tools.
• Analytical mindset with data-driven decision-making skills.
• Excellent communication and collaboration skills.

• Work with product managers to understand product requirements and make them live.
• Ownership of end to end development

• Startup mindset of getting things done and focussing on business goals
• Proven problem solving skills
• 3+ years Hands on experience in designing and developing applications using server side technology (Java, Spring Boot / Node.js, Express)
• Excellent knowledge of Relational Databases, SQL and ORM technologies
• Good knowledge of design patterns
• Proficiency in REST architecture
• Experience with test-driven development
• Experience with Git/CI/CD/Gradle/Maven
• Inclination towards writing quality and performant code

• Experience in Agile development
• Performance tuning, testing, refactoring and automation
• Experience working with AWS Cloud and Devops technologies (terraform , cloudformation, ansible)
• Experience running a production environment
•  

• Assist in project scoping and interact with users to gather requirements
• Must have skills: Java,Spring,SQL,Web App development
• Produce well-planned, well-structured, high-quality codes that have been independently unit tested
• Design, develop, implement and maintain multi-tier web based applications using Java, J2EE, Struts, MVC, Weblogic, XML, Spring, Hibernate, and Oracle, to support business requirements (angular will be advantage)
• Participate and contribute actively in the complete software development lifecycle, including performance analysis, design, development, and testing
• Ensure well designed, testable, efficient codes by performing unit testing with test cases and through rigorous integration testing of the entire application
• Ensure designs are in compliance with specifications
• Support users by developing design documentation and assistance tools
• Interact regularly with internal and external teams to address technical issues and provide appropriate solutions through debugging, research, and investigation
• Develop configuration tools for internal teams to further automate programming tasks that are repetitive
• Engage in and lead application performance tuning

• Graduate/Post Graduate degree in Computer Science, Engineering or a related subject
• Proven working experience in Java development, application of standard software development principles and designing and developing applications using Java EE platforms
• Experience in developing web applications using at least one popular web frameworks using MVC
• Object oriented analysis and design using common design patterns
• Able to respond to technical queries / requests from team members and customers
• Profound insight of Java and JEE internals (Classloading, Memory Management, Transaction management etc.)
• Excellent knowledge of Relational Databases, SQL and ORM technologies (Oracle, Hibernate)
• Experience in the Spring Framework
• Experience with test-driven development

• Developing new user-facing features using React.js

• Building reusable components and front-end libraries for future use

• Translating designs and wireframes into high quality code

• Optimizing components for maximum performance across a vast array of web-capable devices and browsers

• Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model

• Thorough understanding of React.js and its core principles

• Experience with popular React.js workflows (such as Flux or Redux)

• Familiarity with newer specifications of EcmaScript

• Experience with data structure libraries (e.g., Immutable.js)

• Knowledge of isomorphic React is a plus

• Familiarity with RESTful APIs
• Knowledge of GraphQL is a plus.

• Knowledge of modern authorization mechanisms, such as JSON Web Token

• Familiarity with modern front-end build pipelines and tools

• Experience with common front-end development tools such as Babel, Webpack, NPM, etc.

• Ability to understand business requirements and translate them into technical requirements

• A knack for benchmarking and optimization

Familiarity with code versioning tools such as Git


Timeline:

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.