

About 1HResource Soutions LLP
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As a Senior Backend & Infrastructure Engineer, you will take ownership of backend systems and cloud infrastructure. You’ll work closely with our CTO and cross-functional teams (hardware, AI, frontend) to design scalable, fault- tolerant architectures and ensure reliable deployment pipelines.
- What You’ll Do :
- Backend Development: Maintain and evolve our Node.js (TypeScript) and Python backend services with a focus on performance and scalability.
- Cloud Infrastructure: Manage our infrastructure on GCP and Firebase (Auth, Firestore, Storage, Functions, AppEngine, PubSub, Cloud Tasks).
- Database Management: Handle Firestore and other NoSQL DBs. Lead database schema design and migration strategies.
- Pipelines & Automation: Build robust real-time and batch data pipelines. Automate CI/CD and testing for backend and frontend services.
- Monitoring & Uptime: Deploy tools for observability (logging, alerts, debugging). Ensure 99.9% uptime of critical services.
- Dev Environments: Set up and manage developer and staging environments across teams.
- Quality & Security: Drive code reviews, implement backend best practices, and enforce security standards.
- Collaboration: Partner with other engineers (AI, frontend, hardware) to integrate backend capabilities seamlessly into our global system.
Must-Haves :
- 5+ years of experience in backend development and cloud infrastructure.
- Strong expertise in Node.js (TypeScript) and/or Python.
- Advanced skills in NoSQL databases (Firestore, MongoDB, DynamoDB...).
- Deep understanding of cloud platforms, preferably GCP and Firebase.
- Hands-on experience with CI/CD, DevOps tools, and automation.
- Solid knowledge of distributed systems and performance tuning.
- Experience setting up and managing development & staging environments.
• Proficiency in English and remote communication.
Good to have :
- Event-driven architecture experience (e.g., Pub/Sub, MQTT).
- Familiarity with observability tools (Prometheus, Grafana, Google Monitoring).
- Previous work on large-scale SaaS products.
- Knowledge of telecommunication protocols (MQTT, WebSockets, SNMP).
- Experience with edge computing on Nvidia Jetson devices.
What We Offer :
- Competitive salary for the Indian market (depending on experience).
- Remote-first culture with async-friendly communication.
- Autonomy and responsibility from day one.
- A modern stack and a fast-moving team working on cutting-edge AI and cloud infrastructure.
- A mission-driven company tackling real-world environmental challenges.
Job Title: Tableau BI Developer
Years of Experience: 4-8Yrs
12$ per hour fte engagement
8 hrs. working
Required Skills & Experience:
✅ 4–8 years of experience in BI development and data engineering
✅ Expertise in BigQuery and/or Snowflake for large-scale data processing
✅ Strong SQL skills with experience writing complex analytical queries
✅ Experience in creating dashboards in tools like Power BI, Looker, or similar
✅ Hands-on experience with ETL/ELT tools and data pipeline orchestration
✅ Familiarity with cloud platforms (GCP, AWS, or Azure)
✅ Strong understanding of data modeling, data warehousing, and analytics best practices
✅ Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders
Responsibilities:
- Develop and implement digital marketing and branding strategies for the CEO's personal and professional brand.
- Collaborate with the CEO to develop content for social media platforms, blogs, newsletters, and other digital channels.
- Monitor, track, and analyze the effectiveness of digital marketing campaigns and adjust strategies as needed.
- Maintain up-to-date knowledge of industry trends and competitor activity.
- Manage and optimize the CEO's online presence and reputation.
- Handle any digital crises that may occur, including negative reviews or feedback.
- Ensure all digital content is SEO optimized to increase online visibility
At Nextyn, we're seeking talented individuals to join our Market Research department. As a vital bridge between researchers, clients, and industry experts, you'll play a crucial role in delivering comprehensive research solutions that drive informed decision-making.
Join our innovative and collaborative team, where your contributions will be recognized, and professional growth is encouraged. If you're passionate about connecting people, driving insightful research, and facilitating informed decision-making, apply today to be part of Nextyn's Market Research department!
The ideal candidate will conduct quantitative and qualitative analysis across various projects to optimize company growth and business. You will summarize findings in a succinct manner for the client's usage.
Candidates from Mumbai who can join immediately are preferred.
Responsibilities
- Performing quantitative and qualitative research based on the project requirements (Use/Implement other market research databases, tools, and methodologies for executing the project as per the contract)
- Compiling data and preparing reports related to the current market and sharing a depth understanding of market trends, customer demographics, market sizing, and other factors influencing the product and service
- Analyzing and interpreting project data to identify patterns and offer solutions/consultation to the clients
- Supporting other consultants/analysts in the organization to deliver optimum results for a project
- Liaising with the client to keep them updated regarding project status, deliverables, and other related information
- Market research for competitors, customers, suppliers, industries, market trends, and technologies
- Prepare competitor and customer profiles and reports including operational, financial, and corporate data
- Prepare Competitive Benchmarking reports (technical and financial)
- Prepare analysis of targeted industries
Qualifications
- Master's/Bachelor's degree in Business or Economics or a related discipline
- 2 - 3 years of experience working with data in a related field
- Excellent communication skills
- Fluency in Microsoft Office suite (Outlook, Excel, Word, PowerPoint, etc.)
Basic Qualifications
- Solid knowledge of algorithms/data structures is a must
- Strong Java software development experience – with a focus on Java 8 & 9
- Experience with NoSql databases – ideally with MongoDB
- Experience implementing REST apis – ideally with JAX-RS
- Experience with Reactive Programming – ideally with RxJava
- Experience implementing unit tests
Preferred Qualifications
- Experience developing applications in fintech or established financial institutions
- Experience with microservice architectures
- Experience developing systems that can scale to large amounts of data
- Experience working in Agile Scrum
- Experience working on a globally distributed team
empower healthcare payers, providers and members to quickly process medical data to
make informed decisions and reduce health care costs. You will be focusing on research,
development, strategy, operations, people management, and being a thought leader for
team members based out of India. You should have professional healthcare experience
using both structured and unstructured data to build applications. These applications
include but are not limited to machine learning, artificial intelligence, optical character
recognition, natural language processing, and integrating processes into the overall AI
pipeline to mine healthcare and medical information with high recall and other relevant
metrics. The results will be used dually for real-time operational processes with both
automated and human-based decision making as well as contribute to reducing
healthcare administrative costs. We work with all major cloud and big data vendors
offerings including (Azure, AWS, Google, IBM, etc.) to achieve our goals in healthcare and
support
The Director, Data Science will have the opportunity to build a team, shape team culture
and operating norms as a result of the fast-paced nature of a new, high-growth
organization.
• Strong communication and presentation skills to convey progress to a diverse group of stakeholders
• Strong expertise in data science, data engineering, software engineering, cloud vendors, big data technologies, real-time streaming applications, DevOps and product delivery
• Experience building stakeholder trust and confidence in deployed models especially via application of the algorithmic bias, interpretable machine learning,
data integrity, data quality, reproducible research and reliable engineering 24x7x365 product availability, scalability
• Expertise in healthcare privacy, federated learning, continuous integration and deployment, DevOps support
• Provide mentoring to data scientists and machine learning engineers as well as career development
• Meet project related team members for individual specific needs on a regular basis related to project/product deliverables
• Provide training and guidance for team members when required
• Provide performance feedback when required by leadership
The Experience You’ll Need (Required):
• MS/M.Tech degree or PhD in Computer Science, Mathematics, Physics or related STEM fields
• Significant healthcare data experience including but not limited to usage of claims data
• Delivered multiple data science and machine learning projects over 8+ years with values exceeding $10 Million or more and has worked on platform members exceeding 10 million lives
• 9+ years of industry experience in data science, machine learning, and artificial intelligence
• Strong expertise in data science, data engineering, software engineering, cloud vendors, big data technologies, real time streaming applications, DevOps, and product delivery
• Knows how to solve and launch real artificial intelligence and data science related problems and products along with managing and coordinating the
business process change, IT / cloud operations, meeting production level code standards
• Ownerships of key workflows part of data science life cycle like data acquisition, data quality, and results
• Experience building stakeholder trust and confidence in deployed models especially via application of algorithmic bias, interpretable machine learning,
data integrity, data quality, reproducible research, and reliable engineering 24x7x365 product availability, scalability
• Expertise in healthcare privacy, federated learning, continuous integration and deployment, DevOps support
• 3+ Years of experience managing directly five (5) or more senior level data scientists, machine learning engineers with advanced degrees and directly
made staff decisions
• Very strong understanding of mathematical concepts including but not limited to linear algebra, advanced calculus, partial differential equations, and
statistics including Bayesian approaches at master’s degree level and above
• 6+ years of programming experience in C++ or Java or Scala and data science programming languages like Python and R including strong understanding of
concepts like data structures, algorithms, compression techniques, high performance computing, distributed computing, and various computer architecture
• Very strong understanding and experience with traditional data science approaches like sampling techniques, feature engineering, classification, and
regressions, SVM, trees, model evaluations with several projects over 3+ years
• Very strong understanding and experience in Natural Language Processing,
reasoning, and understanding, information retrieval, text mining, search, with
3+ years of hands on experience
• Experience with developing and deploying several products in production with
experience in two or more of the following languages (Python, C++, Java, Scala)
• Strong Unix/Linux background and experience with at least one of the
following cloud vendors like AWS, Azure, and Google
• Three plus (3+) years hands on experience with MapR \ Cloudera \ Databricks
Big Data platform with Spark, Hive, Kafka etc.
• Three plus (3+) years of experience with high-performance computing like
Dask, CUDA distributed GPU, TPU etc.
• Presented at major conferences and/or published materials
- Experience in understanding and Debugging of java web-based technologies (Java, Java Spring, JSP, Servlet, JavaScript, CSS, XML, JSON).
- Experience with API Background like Linux, Windows, Jason
- Good knowledge of Oracle PLSQL and Shell scripting.
- Excellent verbal and written communication skills.
- Demonstrated ability to install, configure, maintain, upgrade, troubleshoot, repair, and support Adobe Experience Manager (AEM/CQ5).
- Comfortable with basic scripting and programming (Java, C , Python, Powershell, Bash, etc). managing known hosts and troubleshooting connection issues Support of AEM/CQ5 infrastructure with load-balanced, replicated and fail-over capabilities.
- Installation / configuration / maintenance of Apache webserver and Dispatcher module configs.
- Ability to monitor Adobe Experience Manager/CQ5 infrastructure and provide both proactive and reactive support, problem management and root cause analysis.
- Support application deployment into the Adobe Experience Manager environments, configuring application needs, deploying code/content, troubleshooting and performance tuning.
- Experience in troubleshooting production environment issues and working closely with Development teams Able to work on Linux/unix environments










