Social Media Marketer

About the Role

We are seeking an Engineering Manager to lead our engineering team in building and scaling complex products and integrations. Our systems are based on a microservices architecture, with a stack that includes Node.js (NestJS), ReactJS, GraphQL APIs, multiple databases (MongoDB, DynamoDB), and multi-cloud deployments (AWS & GCP).

You will play a critical role in ensuring that our software is secure, reliable, and scalable while enabling seamless integrations with platforms like Shopify, Easyecom, Clickpost, and a growing set of partner services that power our ecosystem.

Key Responsibilities

• Lead, mentor, and grow a team of backend, frontend, and full-stack engineers.
• Define and maintain technical direction for microservices-based systems and event-driven architecture.
• Guide engineers in building robust integrations with third-party platforms (e.g., Shopify, Easyecom, Clickpost) and internal services.
• Ensure best practices in API-driven development (GraphQL, REST, event streams) and system interoperability.
• Oversee cloud infrastructure across AWS & GCP, leveraging key AWS services (Lambda, S3, ECS/EKS, CloudFront, SQS/SNS, etc.) for distributed and scalable systems.
• Manage data infrastructure with MongoDB and DynamoDB, ensuring efficient, high-performance queries and resilience at scale.
• Partner with Product and Business stakeholders to align technical strategy with business goals.
• Implement processes for CI/CD, observability, incident management, and cost-optimized cloud operations.
• Conduct regular 1-on-1s, performance reviews, and foster a culture of psychological safety, accountability, innovation, and growth.

Qualifications

• 6+ years of software engineering experience, with at least 2+ years leading or managing engineering teams.
• Strong technical foundation in Node.js (NestJS), ReactJS, and API design (GraphQL, REST).
• Hands-on experience building and scaling microservices architectures.
• Familiarity with third-party integrations and e-commerce platforms such as Shopify, Easyecom, Clickpost, or similar services.
• Knowledge of working with MongoDB, DynamoDB, and distributed data systems.
• Expertise with AWS and GCP cloud environments (including container orchestration, serverless, and event-driven services).
• Experience implementing engineering best practices in CI/CD, observability, monitoring, and incident response.
• Strong leadership and people management skills with the ability to nurture talent, improve processes, and build a culture of excellence.

Technical Content Writer & Strategist – CRM & Digital Transformation

Location:

Hybrid – Noida

Department:

Marketing & Growth

Reports To:

Manager – Marketing

Experience Required:

3–5 years in technical content writing, preferably in CRM, SaaS, or B2B tech.

🚀 The Role

We’re seeking a Technical Content Writer & Strategist who can simplify the complex and craft compelling, tech-driven stories. This role is made for you if you have a knack for turning CRM workflows, Salesforce use cases, or digital strategy frameworks into impactful blogs, whitepapers, and email sequences.

You’ll write for decision-makers, tech leaders, and digital stakeholders—delivering content that’s clear, authoritative, and conversion-ready.

💼 What You’ll Do

• Write long-form technical content: Deep-dive blogs, implementation guides, whitepapers, how-tos, product overviews, and explainers.
• Simplify technical concepts: Translate complex CRM, API, or integration language into accessible content for B2B audiences.
• Create SEO-first content: Use tools like SEMrush to drive search performance.
• Collaborate with SMEs: Work closely with developers, architects, and consultants to ensure technical accuracy.
• Craft LinkedIn content: Ghostwrite strategic posts for founders, CXOs, and tech leaders.
• Support marketing campaigns: Develop content for email drips, landing pages, lead magnets, and product launches.
• Leverage AI tools: Use Claude AI, ChatGPT, Grammarly, etc., to enhance writing speed and tone alignment.
• Maintain documentation standards: Build and refine internal and external docs with clarity and consistency.

🎯 What You Bring

• 3–5 years of technical content writing experience for B2B or SaaS audiences.
• Deep understanding of CRM platforms (Salesforce preferred), digital transformation, and enterprise tech.
• Proven ability to translate complex technical ideas into business-readable content.
• Solid research and interviewing skills to collaborate with product and solution teams.
• Familiarity with SEO, analytics tools, and performance tracking.
• Excellent storytelling skills—both long-form and short-form.

🌟 Bonus Points If You Have

• Experience working with Salesforce partners or CRM consultants
• Published thought leadership in CRM, AI, digital transformation, or SaaS
• Familiarity with tools like Notion, WordPress, or other content management platforms

Greetings from FR8 (New Olog Logistics Pvt Ltd) !!

At FR8, we leverage technology bringing India's fleet of trucks to a mobile APP platform for easy connectivity. We make trucking reliable, low-cost and simple for our customers and truck owners, by providing transparent pricing, quality service and real-time tracking using GPS. Please read about us here: http://www.fr8.in/" target="_blank">www.fr8.in.

Job Description - Full Stack Architect 

• Building interactive consumer data from multiple systems and RESTfully abstract to the UI through a Node.js backend
• Define code architecture decisions to support a high-performance and scalable product with a minimal footprint
• Address and improve any technical issues
• Collaborate well with Engineers, Architects, Managers to design and create advanced, elegant and efficient systems

• Proven 2+ years of relevant experience
• Hands-on experience in Javascript
• Expertise knowledge in React JS, Node JS & SQL

At Testing Ground, we are looking for a person who is highly passionate about technology and automation with a focus on value-driven deliverables, wants to work, learn, and expand their capability into the start-up domain.

This role is a great fit for someone who enjoys technology, project management, process improvement, and fast pace environment.

Apply to the link below and get in touch with now!

SKILLS REQUIRED (BACKEND ENGINEER)

• A person should have a sense of ownership, hold accountability for the task allocated with a data and results-driven attitude
• Have Knack over the bigger picture while building the technology with a keen eye over the minute details
• Proficient knowledge of Backend Programming language/framework and Security Compliance
• Must be experienced in designing and building Video Platforms with live streaming features
• A person with a growth mindset, who demonstrate strong initiative for building up your own skills
• In the ability to take existing models and best practices and adapt them to our environment
• Must know agile Data Analytics tools and cloud technology with back end integration
• Must know multiple systems, servers, data sources, analytics, and management with an ability to design dashboard with plugins

ROLES AND RESPONSIBILITIES

• Build and Design models from scratch and help product managers and stakeholders understand results
• Integration of user-facing elements developed by front-end developers with server-side logic
• Design, implement and optimize the application for maximum speed and scalability
• Management of hosting environment, Data migration, transformation, and scripting
• Streamline the process, ensuring integration and deployment of AI-driven models
• Set up and manage production infrastructure with the implementation of data storage solutions
• Help business stakeholders understand the limitations and consequences of various alternatives when planning
• Design Video making platform with a live streaming technology solution to integrate it with product
• Build data ingest and data transformation infrastructure
• Suggest creative and noble ideas to design a disruptive technology solution

BENEFITS

Remote Work | Flexibility | Flat Structure | Entrepreneurial Culture

A high degree of value on Autonomy, Flexibility, Empathy, and Mobility

An awesome work culture which has an agile team with a growth mindset

Role and Responsibilities

• Execute data mining projects, training and deploying models over a typical duration of 2 -12 months.
• The ideal candidate should be able to innovate, analyze the customer requirement, develop a solution in the time box of the project plan, execute and deploy the solution.
• Integrate the data mining projects embedded data mining applications in the FogHorn platform (on Docker or Android).

Core Qualifications
Candidates must meet ALL of the following qualifications:

• Have analyzed, trained and deployed at least three data mining models in the past. If the candidate did not directly deploy their own models, they will have worked with others who have put their models into production. The models should have been validated as robust over at least an initial time period.
• Three years of industry work experience, developing data mining models which were deployed and used.
• Programming experience in Python is core using data mining related libraries like Scikit-Learn. Other relevant Python mining libraries include NumPy, SciPy and Pandas.
• Data mining algorithm experience in at least 3 algorithms across: prediction (statistical regression, neural nets, deep learning, decision trees, SVM, ensembles), clustering (k-means, DBSCAN or other) or Bayesian networks

Bonus Qualifications
Any of the following extra qualifications will make a candidate more competitive:

• Soft Skills
  • Sets expectations, develops project plans and meets expectations.
  • Experience adapting technical dialogue to the right level for the audience (i.e. executives) or specific jargon for a given vertical market and job function.
• Technical skills
  • Commonly, candidates have a MS or Ph.D. in Computer Science, Math, Statistics or an engineering technical discipline. BS candidates with experience are considered.
  • Have managed past models in production over their full life cycle until model replacement is needed. Have developed automated model refreshing on newer data. Have developed frameworks for model automation as a prototype for product.
  • Training or experience in Deep Learning, such as TensorFlow, Keras, convolutional neural networks (CNN) or Long Short Term Memory (LSTM) neural network architectures. If you don’t have deep learning experience, we will train you on the job.
  • Shrinking deep learning models, optimizing to speed up execution time of scoring or inference.
  • OpenCV or other image processing tools or libraries
  • Cloud computing: Google Cloud, Amazon AWS or Microsoft Azure. We have integration with Google Cloud and are working on other integrations.
  • Decision trees like XGBoost or Random Forests is helpful.
  • Complex Event Processing (CEP) or other streaming data as a data source for data mining analysis
  • Time series algorithms from ARIMA to LSTM to Digital Signal Processing (DSP).
  • Bayesian Networks (BN), a.k.a. Bayesian Belief Networks (BBN) or Graphical Belief Networks (GBN)
  • Experience with PMML is of interest (see www.DMG.org).
• Vertical experience in Industrial Internet of Things (IoT) applications:
  • Energy: Oil and Gas, Wind Turbines
  • Manufacturing: Motors, chemical processes, tools, automotive
  • Smart Cities: Elevators, cameras on population or cars, power grid
  • Transportation: Cars, truck fleets, trains

About FogHorn Systems
FogHorn is a leading developer of “edge intelligence” software for industrial and commercial IoT application solutions. FogHorn’s Lightning software platform brings the power of advanced analytics and machine learning to the on-premise edge environment enabling a new class of applications for advanced monitoring and diagnostics, machine performance optimization, proactive maintenance and operational intelligence use cases. FogHorn’s technology is ideally suited for OEMs, systems integrators and end customers in manufacturing, power and water, oil and gas, renewable energy, mining, transportation, healthcare, retail, as well as Smart Grid, Smart City, Smart Building and connected vehicle applications.

Press:  https://www.foghorn.io/press-room/">https://www.foghorn.io/press-room/

Awards: https://www.foghorn.io/awards-and-recognition/">https://www.foghorn.io/awards-and-recognition/

• 2019 Edge Computing Company of the Year – Compass Intelligence
• 2019 Internet of Things 50: 10 Coolest Industrial IoT Companies – CRN
• 2018 IoT Planforms Leadership Award & Edge Computing Excellence – IoT Evolution World Magazine
• 2018 10 Hot IoT Startups to Watch – Network World. (Gartner estimated 20 billion connected things in use worldwide by 2020)
• 2018 Winner in Artificial Intelligence and Machine Learning – Globe Awards
• 2018 Ten Edge Computing Vendors to Watch – ZDNet & 451 Research
• 2018 The 10 Most Innovative AI Solution Providers – Insights Success
• 2018 The AI 100 – CB Insights
• 2017 Cool Vendor in IoT Edge Computing – Gartner
• 2017 20 Most Promising AI Service Providers – CIO Review

Our Series A round was for $15 million.  Our Series B round was for $30 million October 2017.  Investors include: Saudi Aramco Energy Ventures, Intel Capital, GE, Dell, Bosch, Honeywell and The Hive.

About the Data Science Solutions team
In 2018, our Data Science Solutions team grew from 4 to 9.  We are growing again from 11. We work on revenue generating projects for clients, such as predictive maintenance, time to failure, manufacturing defects.  About half of our projects have been related to vision recognition or deep learning. We are not only working on consulting projects but developing vertical solution applications that run on our Lightning platform, with embedded data mining.

Our data scientists like our team because:

• We care about “best practices”
• Have a direct impact on the company’s revenue
• Give or receive mentoring as part of the collaborative process
• Questions and challenging the status quo with data is safe
• Intellectual curiosity balanced with humility
• Present papers or projects in our “Thought Leadership” meeting series, to support continuous learning