Position Description
Despite the global pandemic, Flexiple has been growing ~25% month on month for the last 6 months and has grown its fully distributed network of highly skilled tech talent across ~50 countries now.
Our Marketplace & Talent Operations team till date has been led by https://www.linkedin.com/in/suvansh-bansal/">Suvansh Bansal, right now assisted by a 10 member team. We are now looking to add a leader to the team who can help us hire, grow, nurture, and retain quality operations talent. Additionally, you will play a key role in leading the strategy and execution to ensure that high-quality freelance talent is onboarded and optimally placed to meet client demands (average deal size of ~US$30000).
You have the opportunity to be a part of a company that is leading the remote work revolution and be the revenue-driving force in the premium B2B services industry Flexiple operates in. We expect to grow to $15 million by end of FY22-23.
Kindly note, this is a remote position.
Your Responsibilities:
- Attracting & Retaining Talent - Build and execute a strategy to effectively attract, onboard, and retain talent to meet the speed and quality expectations of our clients. This includes collaborating with our screening teams to optimize the process for sourced talent. Your strategic and analytical thinking will contribute to the formulation of unique solutions to streamline such processes.
- Optimize matching process - Lead a fully distributed team and ensure work practices are designed to encourage revenue optimization. The focus thus, needs to be on assessing client needs, finding the "right" freelancer, so that we can match freelance talent to meet the speed and quality expectations of our clients. A key work area would be to do supply planning in alignment with forecasted client demand.
- Collaboration with Sales team - Build robust feedback loops with the Sales team to ensure that both teams work in the same direction. Your success will be measured by exceeding established KPIs for the supply and the demand teams.
- Driving improvements with the Marketing team - Lead efforts while working with the founders to dramatically scale the inbound funnel. Your role will be prioritize the different methods of talent acquisition to meet the forecasted client demand. Your insights will help the marketing team build landing pages and site resources to attract and retain targeted talent.
- Work with the Founders - Share feedback backed by strategic and analytical thinking with the founders on tech products (for freelancer success, onboarding, and matching), technical screening, talent success (laying out a clear path for success for our community).
- Team - Lead by example, hire/ train/ mentor mentor junior team members, and provide instant, relevant feedback on areas of improvement for processes and performance.
Expectations in Week 1
- Understand our business model and way of working.
- Work with key teams to learn the core of Flexiple's talent operations and sales capabilities.
Expectations in Month 1
- Take ownership of a set of freelancer leads and work on the process followed for them.
- Complete a current state assessment of the structure and functions that define attracting, onboarding, and retaining talent.
- Pick up necessary tech skills that are needed for the industry.
Expectations till Month 3
- Take ownership of a set of client leads and work on finding the best matches for them.
- Complete a current state assessment of the structure and functions that define the Talent Matching process.
- Work with the existing Talent Operations team to help them improve their sales ability, industry knowledge, and tech understanding.
- Get the team in the habit of hitting their targets every month.
- Build up on the tech skills you picked up in the first month.
Expectations till Month 6
- Assess, develop, and execute strategies to effectively onboard, and retain talent while adapting to the specialized needs of our clients.
- Begin to assess, develop, and execute strategies to effectively matching talent while meeting the speed and quality expectations of our clients.
- Gain a deep understanding of the supply/ demand dynamics within Flexiple to assist with prioritization of matching activities and optimal supply planning.
- Build up on the tech skills you picked up in the first 3 months.
Expectations in Year 1
- Take ownership of the talent attraction, on-boarding, retention, and matching teams to meet changing demands and drive revenues.
- Develop and nurture robust feedback loops between the Talent Operations team and the Sales teams to efficiently run the matching process.
- Evaluate the current team and bridge shortfalls by hiring, training, growing, and retaining internal talent for the Talent Operations team.
- Develop supply models to ensure we can meet client expectations for current and future needs.
Who are you:
- 5+ years of experience in business operations/ management consulting, developing and executing strategies, leveraging analytics and KPIs to inform decision-making and performance management.
- Strong analytical skills and ability to problem solve to inform supply planning decisions so that priorities can be set are mandatory.
- Ability to lead a global team, provide motivation and clear direction to meet expectations by instilling accountability for quality, sense of urgency, and deepening of customer relationships with both clients and freelance talents.
- Proven ability to collaborate effectively and develop strong cross-functional relationships, especially with Operations and Sales functions.
- Accustomed to working in a metrics-driven environment and success in developing methods to achieve KPI expectations.
- Expertise in building a replicable playbook to hire, train, mentor junior team members.
- Ability to adapt to changing business priorities and environments.
Compensation and Benefits:
- A fully remote (work from anywhere) role
- Receive a more-than-competitive salary plus benefits
- A flat and transparent culture
- Support for setting up home office
- Laptop on joining
- Enjoy a culture with opportunities for growth and learning
Shubham Vishwakarma
Full Stack Developer - Averlon
About Flexiple Technologies
About
Flexiple is an offshore team and GCC building company. We build, staff and run your India team end to end, covering hiring, payroll, compliance, HR and IT, so you get an operating team rather than a list of candidates.
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📍 Location: Remote (India-wide)
🖥 Role: *Full-Time | Permanent WFH*
👤 Candidate Profile Required
- Fluent in English + French (Certified B2+) / Experienced B1 certified
- Fresher or experienced
- Graduate/Undergraduate
- Age limit: up to 40 years
- Must own a device (smartphone, laptop/desktop) and have WiFi access
💼 Why Support This Role?
- ✅ Permanent Work From Home
- ✅ Company-provided system
- ✅ Transparent salaries:
• French (B2+): Up to ₹10 LPA
- ✅ Pan India accessibility
- ✅ No certification needed — just strong language skills!
📝 Screening Workflow
1. HR Round
2. AMCAT Assessment (English 70 + Chosen Language) 3+
3 OPS round
Hello Candidate,
Hope you're doing well!
We have an exciting opening for the Senior Civil Engineer – Renewable Energy (Hydro / Wind Projects)
role at Soham, offering strong growth potential and a dynamic work environment. If you're interested or know someone who might be, feel free to reach via job posting. Looking forward to connecting!
Senior Civil Engineer – Renewable Energy (Hydro / Wind Projects)
Company: Soham Renewable Energy
Position Overview
Soham Renewable Energy is looking to appoint a highly experienced Senior Civil Engineer with 20+ years of experience in civil construction, specifically for solar and wind renewable energy projects. The role involves end-to-end responsibility for civil works, from design review and planning to on-site execution and project delivery.
Experience & Age Criteria
Total Experience: Minimum 8+ years in civil construction
Relevant Experience: Proven experience in solar / wind / renewable energy projects
Age: 40 – 50 years
Key Responsibilities
· Lead and oversee civil and structural works for solar plants, wind farms, and hydro projects
· Solar: foundations, mounting structures, roads, drainage, control rooms, substations
· Wind: turbine foundations, access roads, hard standings, crane pads
· Hydro: dams, canals, intake structures, penstocks, powerhouses, spillways
· Review and approve designs, drawings, BOQs, estimates, and construction methodologies
· Manage EPC contractors, consultants, and site teams to ensure quality and timelines
· Monitor project schedules, budgets, and cost controls
· Ensure compliance with safety, statutory, and environmental regulations
· Coordinate with electrical, mechanical, and project management teams
· Conduct regular site inspections and resolve complex technical challenges
· Lead contractor meetings and provide progress reports to senior management
· Mentor and guide junior engineers and strengthen site execution teams
· Support land development, geotechnical studies, and infrastructure planning for renewable sites
Required Skills & Competencies
· Strong expertise in civil construction for renewable energy projects
· In-depth knowledge of RCC, pile foundations, structural steel, geotechnical works
· Experience handling large-scale infrastructure and energy projects
· Strong leadership, planning, and stakeholder management skills
· Ability to manage multiple project sites
Educational Qualification
B.E. / B.Tech in Civil Engineering
Master’s degree is an added advantage
Location
Project Sites / HO (as applicable)
Reporting To
Project Director / Senior Management
How to reach me?
Lets Connect on Linkedin!
Check us out on – www.sohamenergy.in
Best Regards,
Indrani Dutta
Senior HR Manager
Job Description
Mandatory Requirements
● 5+ years of backend development experience with Drupal 10/11
. ● Strong expertise in headless/decoupled Drupal architectures.
● Proficiency in creating and exposing APIs using GraphQL, REST, and JSON:API.
● Hands-on experience with content types, view modes, fields, paragraphs, and taxonomies.
● Strong understanding of custom module development, Drupal hooks, and services.
● Experience integrating and querying Elasticsearch/Solr Search in Drupal applications. Proficiency with Drush, Composer, Acquia Cloud, Git, Ddev, and CI/CD tools.
● Solid knowledge of security best practices in Drupal and API development.
● Experience with API versioning, rate-limiting, and token-based authentication (OAuth2/JWT).
● Knowledge of performance optimization (Varnish, Redis, CDN integration).
● Experience with automated testing in Drupal (PHPUnit/Behat).
● Prior experience collaborating with Next.js frontend teams.
● Exposure to Content Staging, Multi-site architectures, or content governance workflows. Roles & Responsibilities Develop and maintain headless Drupal 9/10 backends for frontend integration.
● Expose content via GraphQL, REST, and JSON:API for frontend consumption.
● Design and manage content types, fields, paragraphs, taxonomies, and view modes.
● Develop custom modules and extend Drupal core functionalities.
● Configure and optimize Elasticsearch/Solr search for scalable search solutions.
● Collaborate with frontend developers to enable component-driven development.
● Implement SEO-friendly, accessible, and multilingual configurations.
● Apply performance tuning, API caching, and backend security best practices.
● Actively participate in sprint planning, demos, and retrospectives.
● Conduct peer code reviews and ensure adherence to documentation and coding standards.
Android Development
Kotlin
JavaRole:
Android Developer
Role Description:
Desired Experience Range 4+ years
Location: Mumbai
Work Experience:
Minimum 4+ years of professional experience in Android development
Requirements:
1. Writing clean and efficient native Android applications
2. Proven knowledge of Android SDK, different versions of Android, and how to deal with different screen sizes
3. Familiarity with RESTful APIs to connect Android applications to back-end services
4. Proven knowledge of Android UI design principles, patterns, and best practices
5. Experience with offline storage, threading, and performance tuning
6. Must have worked on integrating oAuth/JWT
7. Must have worked with Git
8. Understanding of SDLC process
9. Good to have knowledge of Jira
Key Responsibilities:
1. Writing clean and efficient native Android applications
2. Consuming web services/APIs for Android platform
3. Monitoring the performance of live apps and work on optimizing them at the code level
4. Identifying and resolving bottlenecks, rectifying bugs and enhancing application performance
5. Integrating new features into the platform
6. Integrating payment gateways
7. Looking into any bug fixes post go live
8. Helping the junior developers
Reporting
Candidate will report to the Engineering Lead
JOB DESCRIPTION:
You will work as an Associate Product Manager to help develop a product and create an amazing learning experience that directly impacts the lives of millions of Learners across the country.
WHO ARE WE LOOKING FOR?
- Logical bend of mind. Incessant problem solver; the tougher the problem gets, the more fun they have
- Strong product intuition and analytical thinking(Metrics oriented)
- Bias toward data-driven decision-making, combined with solid business judgment
- Has the ability to operate in a very fast-paced, constantly changing and evolving environment
- Strong customer obsession and empathy
- Ability to prioritize work and understand the trade-offs
- Execution focused - ability to infuse execution, milestone focused
- Above all, the candidate must have an outstanding work ethic, should be results-driven and have a strong passion to contribute to the company's vision and mission
ROLES & RESPONSIBILITIES:
- You’ll need to find ways to automate and productize solutions around course experience to improve efficiency
- Identify problems along the learner journey to understand and develop solutions to learner’s pain points
- Gather insights from across teams within the org and conduct external research and usability studies to understand how customers are interacting with the product and develop enhancements based on the results/analysis
- Continuously improve existing products and features to drive higher engagement, retention and customer delight(NPS)
- On an average day you’d be breaking down user problems, creating roadmaps, prioritizing with the team, running daily stand-ups, looking at customer issues, interacting with customers and collaborating with engineers, designers, operations, support team to help create value
WHY NxtWave:
- Get a front-row seat to a high-growth, fast-paced startup
- Accelerated learning curve
- Impact millions of lives and develop role models in every nook and corner of the country
- Work with the founding team of NxtWave who are on a mission to transform India
- High transparency in decision-making
- Market Competitive salary
HTML/CSS
Javascript
Angular (2+)
AngularJS (1.x)Responsibilities and Duties
- Can work on live projects of international clients.
- Can handle multiple projects
- Error-free coding.
Requirements
- Minimum 3 Years of Experience.
- Extremely fluent in Database performance and tuning
- Knowledge in Web API
- Knowledge in Payment Gateway Integration
- Knowledge in Angular JS
- Good analytical, logic building and problem-solving skills
- Proper Reporting & Documentation
- Experience with Microsoft .NET technologies including, ASP.NET, MVC, Entity Framework
- Proven Skills with C#, SQL JavaScript/HTML, HTML-CSS, AJAX, jQuery, Web Services, etc.
- Excellent research capability.
Role: QA LEAD
Experience: 8 – 9 years
Responsibilities:
- Manual and Automation testing,
- ETL Testing, Basic SQL queries, API testing using Postman, Selenium-Java/Python, Develop Automation Framework experience from scratch
- At least 2 -3 years of Automation testing experience on Selenium or Cypress hands on experience in any Low-code Test Automation tool
- Manufacturing domain knowledge, Product testing, Agile/Scrum, Azure/JIRA, Katalon Studio (or any record and playback testing tool)
- GitHub,hands-on, Docker hands on experience
- Lead QA team and work as an individual contributor
- Reporting to QA Manager/Release Manager
- Team Management, Provide Trainings to team, Functional KT
- Test Plan, Test Scenarios, Test Case draft, Review
- Send Weekly QA Status report to stakeholders
- Send QA summary report on every release
- Prepare UAT Release notes
- UAT testing, Bug Triage, Regression testing
- Good in Test Effort Estimation
- Self-Driven
- Excellent communication and critical thinking skills.
- Expert in Agile Project Methodology using Azure DevOps board for bug management applied to product/project development.
About the role:
- Around 8-9 years of experience in QA testing that includes around 2 years as a QA Lead and extensively involved in Test Planning Creation, developing & executing test cases, reviewing and monitoring progress, planning & managing dependencies, risks and resources, schedules, estimates, test reports in Telecom domains.
- Experience with functional and automated testing on web application
- Good understanding of Software Development Life Cycle (SDLC) and all stages of QA and Defect Life Cycles
- Experience with Agile software development (Scrum)
- API testing
- Experience in both manual and automation testing with Selenium (Java/Python)
- Strong experience with executing stored procedures for ETL and SQL queries to perform the Database testing.
- Experience working on Reports data validation.
- Experience in developing test plans, test cases, defect logging.
- Actively involved in GUI, Functional, Integration, System, Regression, E2E testing, Post Validation Test, User acceptance, and Database testing
- Familiarity of Quality Assurance standards, processes methodologies and strategies
- Strong in analysing business requirements and specifications and development of test plans, test scripts, test cases and executing them
- Experience in leading a testing team, assigning, and tracking tasks provided to team members
- Self - motivated, team-oriented individual with strong problem-solving abilities
- Good to have – Experience in testing AI based web application
- Work with Release Manager to make sure Release process is followed in all the phases of SDLC and defined checkpoints, entry and exit criteria are met
NodeJS (Node.js)
React.jsAngular (2+)AngularJS (1.x)Javascript
Responsibilities
- 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
Skills
- 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)
- Knowledge of isomorphic React is a plus
- Familiarity with RESTful APIs
- Knowledge of modern authorization mechanisms, such as JSON Web Token
- 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, SVN, and Mercurial
Data Science
Machine Learning (ML)XressBees – a logistics company started in 2015 – is amongst the fastest growing companies of its sector. Our
vision to evolve into a strong full-service logistics organization reflects itself in the various lines of business like B2C
logistics 3PL, B2B Xpress, Hyperlocal and Cross border Logistics.
Our strong domain expertise and constant focus on innovation has helped us rapidly evolve as the most trusted
logistics partner of India. XB has progressively carved our way towards best-in-class technology platforms, an
extensive logistics network reach, and a seamless last mile management system.
While on this aggressive growth path, we seek to become the one-stop-shop for end-to-end logistics solutions. Our
big focus areas for the very near future include strengthening our presence as service providers of choice and
leveraging the power of technology to drive supply chain efficiencies.
Job Overview
XpressBees would enrich and scale its end-to-end logistics solutions at a high pace. This is a great opportunity to join
the team working on forming and delivering the operational strategy behind Artificial Intelligence / Machine Learning
and Data Engineering, leading projects and teams of AI Engineers collaborating with Data Scientists. In your role, you
will build high performance AI/ML solutions using groundbreaking AI/ML and BigData technologies. You will need to
understand business requirements and convert them to a solvable data science problem statement. You will be
involved in end to end AI/ML projects, starting from smaller scale POCs all the way to full scale ML pipelines in
production.
Seasoned AI/ML Engineers would own the implementation and productionzation of cutting-edge AI driven algorithmic
components for search, recommendation and insights to improve the efficiencies of the logistics supply chain and
serve the customer better.
You will apply innovative ML tools and concepts to deliver value to our teams and customers and make an impact to
the organization while solving challenging problems in the areas of AI, ML , Data Analytics and Computer Science.
Opportunities for application:
- Route Optimization
- Address / Geo-Coding Engine
- Anomaly detection, Computer Vision (e.g. loading / unloading)
- Fraud Detection (fake delivery attempts)
- Promise Recommendation Engine etc.
- Customer & Tech support solutions, e.g. chat bots.
- Breach detection / prediction
An Artificial Intelligence Engineer would apply himself/herself in the areas of -
- Deep Learning, NLP, Reinforcement Learning
- Machine Learning - Logistic Regression, Decision Trees, Random Forests, XGBoost, etc..
- Driving Optimization via LPs, MILPs, Stochastic Programs, and MDPs
- Operations Research, Supply Chain Optimization, and Data Analytics/Visualization
- Computer Vision and OCR technologies
The AI Engineering team enables internal teams to add AI capabilities to their Apps and Workflows easily via APIs
without needing to build AI expertise in each team – Decision Support, NLP, Computer Vision, for Public Clouds and
Enterprise in NLU, Vision and Conversational AI.Candidate is adept at working with large data sets to find
opportunities for product and process optimization and using models to test the effectiveness of different courses of
action. They must have knowledge using a variety of data mining/data analysis methods, using a variety of data tools,
building, and implementing models, using/creating algorithms, and creating/running simulations. They must be
comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion
for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Roles & Responsibilities
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Building cloud services in Decision Support (Anomaly Detection, Time series forecasting, Fraud detection,
Risk prevention, Predictive analytics), computer vision, natural language processing (NLP) and speech that
work out of the box.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Build core of Artificial Intelligence and AI Services such as Decision Support, Vision, Speech, Text, NLP, NLU,
and others.
● Leverage Cloud technology –AWS, GCP, Azure
● Experiment with ML models in Python using machine learning libraries (Pytorch, Tensorflow), Big Data,
Hadoop, HBase, Spark, etc
● Work with stakeholders throughout the organization to identify opportunities for leveraging company data to
drive business solutions.
● Mine and analyze data from company databases to drive optimization and improvement of product
development, marketing techniques and business strategies.
● Assess the effectiveness and accuracy of new data sources and data gathering techniques.
● Develop custom data models and algorithms to apply to data sets.
● Use predictive modeling to increase and optimize customer experiences, supply chain metric and other
business outcomes.
● Develop company A/B testing framework and test model quality.
● Coordinate with different functional teams to implement models and monitor outcomes.
● Develop processes and tools to monitor and analyze model performance and data accuracy.
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Deliver machine learning and data science projects with data science techniques and associated libraries
such as AI/ ML or equivalent NLP (Natural Language Processing) packages. Such techniques include a good
to phenomenal understanding of statistical models, probabilistic algorithms, classification, clustering, deep
learning or related approaches as it applies to financial applications.
● The role will encourage you to learn a wide array of capabilities, toolsets and architectural patterns for
successful delivery.
What is required of you?
You will get an opportunity to build and operate a suite of massive scale, integrated data/ML platforms in a broadly
distributed, multi-tenant cloud environment.
● B.S., M.S., or Ph.D. in Computer Science, Computer Engineering
● Coding knowledge and experience with several languages: C, C++, Java,JavaScript, etc.
● Experience with building high-performance, resilient, scalable, and well-engineered systems
● Experience in CI/CD and development best practices, instrumentation, logging systems
● Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights
from large data sets.
● Experience working with and creating data architectures.
● Good understanding of various machine learning and natural language processing technologies, such as
classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.
● Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest,
Boosting, Trees, text mining, social network analysis, etc.
● Knowledge on using web services: Redshift, S3, Spark, Digital Ocean, etc.
● Knowledge on creating and using advanced machine learning algorithms and statistics: regression,
simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
● Knowledge on analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Core metrics,
AdWords, Crimson Hexagon, Facebook Insights, etc.
● Knowledge on distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Kafka etc.
● Knowledge on visualizing/presenting data for stakeholders using: Quicksight, Periscope, Business Objects,
D3, ggplot, Tableau etc.
● Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
networks, etc.) and their real-world advantages/drawbacks.
● Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
statistical tests, and proper usage, etc.) and experience with applications.
● Experience building data pipelines that prep data for Machine learning and complete feedback loops.
● Knowledge of Machine Learning lifecycle and experience working with data scientists
● Experience with Relational databases and NoSQL databases
● Experience with workflow scheduling / orchestration such as Airflow or Oozie
● Working knowledge of current techniques and approaches in machine learning and statistical or
mathematical models
● Strong Data Engineering & ETL skills to build scalable data pipelines. Exposure to data streaming stack (e.g.
Kafka)
● Relevant experience in fine tuning and optimizing ML (especially Deep Learning) models to bring down
serving latency.
● Exposure to ML model productionzation stack (e.g. MLFlow, Docker)
● Excellent exploratory data analysis skills to slice & dice data at scale using SQL in Redshift/BigQuery.
Django
Python
Vue.js
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon