Azure Specialist

 Key Responsibilities

AI Model Development 

 - Design and implement advanced Generative AI models (e.g., GPT-based, LLaMA, etc.) to support applications across various domains, including text generation, summarization, and conversational agents.

 - Utilize tools like LangChain and LlamaIndex to build robust AI-powered systems, ensuring seamless integration with data sources, APIs, and databases.

Backend Development with FastAPI

 - Develop and maintain fast, efficient, and scalable FastAPI services to expose AI models and algorithms via RESTful APIs.

 - Ensure optimal performance and low-latency for API endpoints, focusing on real-time data processing.

Pipeline and Integration

 - Build and optimize data processing pipelines for AI models, including ingestion, transformation, and indexing of large datasets using tools like LangChain and LlamaIndex.

 - Integrate AI models with external services, databases, and other backend systems to create end-to-end solutions.

Collaboration with Cross-Functional Teams

 - Collaborate with data scientists, machine learning engineers, and product teams to define project requirements, technical feasibility, and timelines.

 - Work with front-end developers to integrate AI-powered functionalities into web applications.

Model Optimization and Fine-Tuning

 - Fine-tune and optimize pre-trained Generative AI models to improve accuracy, performance, and scalability for specific business use cases.

 - Ensure efficient deployment of models in production environments, addressing issues related to memory, latency, and resource management.

Documentation and Code Quality

 - Maintain high standards of code quality, write clear, maintainable code, and conduct thorough unit and integration tests.

 - Document AI model architectures, APIs, and workflows for future reference and onboarding of team members.

Research and Innovation

 - Stay updated with the latest advancements in Generative AI, LangChain, and LlamaIndex, and actively contribute to the adoption of new techniques and technologies.

 - Propose and explore innovative ways to leverage cutting-edge AI technologies to solve complex problems.

Required Skills and Experience

Expertise in Generative AI 

Strong experience working with Generative AI models, including but not limited to GPT-3/4, LLaMA, or other large language models (LLMs).

LangChain & LlamaIndex 

Hands-on experience with LangChain for building language model-driven applications, and LlamaIndex for efficient data indexing and querying.

Python Programming 

Proficiency in Python for building AI applications, working with frameworks such as TensorFlow, PyTorch, Hugging Face, and others.

API Development with FastAPI 

Strong experience developing RESTful APIs using FastAPI, with a focus on high-performance, scalable web services.

NLP & Machine Learning 

Solid foundation in Natural Language Processing (NLP) and machine learning techniques, including data preprocessing, feature engineering, model evaluation, and fine-tuning.

Database & Storage Systems Familiarity with relational and NoSQL databases, data storage, and management strategies for large-scale AI datasets.

Version Control & CI/CD 

Experience with Git, GitHub, and implementing CI/CD pipelines for seamless deployment.

Preferred Skills

Containerization & Cloud Deployment 

Familiarity with Docker, Kubernetes, and cloud platforms (e.g., AWS, GCP, Azure) for deploying scalable AI applications.

Data Engineering 

Experience in working with data pipelines and frameworks such as Apache Spark, Airflow, or Dask.

Knowledge of Front-End Technologies Familiarity with front-end frameworks (React, Vue.js, etc.) for integrating AI APIs with user-facing applications.

About JobTwine

JobTwine is an AI-powered platform offering Interview as a Service, helping companies hire 50% faster while doubling the quality of hire. AI Interviews, Human Decisions, Zero Compromises We leverage AI with human expertise to discover, assess, and hire top talent. JobTwine automates scheduling, uses an AI Copilot to guide human interviewers for consistency and generates structured, high-quality automated feedback.

Role Overview

We are looking for a Senior DevOps Engineer with 4–5 years of experience, a product-based mindset, and the ability to thrive in a startup environment

Key Skills & Requirements

• 4–5 years of hands-on DevOps experience
• Experience in product-based companies and startups
• Strong expertise in CI/CD pipelines
• Hands-on experience with AWS / GCP / Azure
• Experience with Docker & Kubernetes
• Strong knowledge of Linux and Shell scripting
• Infrastructure as Code: Terraform / CloudFormation
• Monitoring & logging: Prometheus, Grafana, ELK stack
• Experience in scalability, reliability and automation

What You Will Do

• Work closely with Sandip, CTO of JobTwine on Gen AI DevOps initiatives
• Build, optimize, and scale infrastructure supporting AI-driven products
• Ensure high availability, security and performance of production systems
• Collaborate with engineering teams to improve deployment and release processes

Why Join JobTwine ?

• Direct exposure to leadership and real product decision-making
• Steep learning curve with high ownership and accountability
• Opportunity to build and scale a core B2B SaaS produc

Job Title: Sr. DevOps Engineer

Experience Required: 2 to 4 years in DevOps or related fields

Employment Type: Full-time

About the Role:

We are seeking a highly skilled and experienced Lead DevOps Engineer. This role will focus on driving the design, implementation, and optimization of our CI/CD pipelines, cloud infrastructure, and operational processes. As a Lead DevOps Engineer, you will play a pivotal role in enhancing the scalability, reliability, and security of our systems while mentoring a team of DevOps engineers to achieve operational excellence.

Key Responsibilities:

Infrastructure Management: Architect, deploy, and maintain scalable, secure, and resilient cloud infrastructure (e.g., AWS, Azure, or GCP).

CI/CD Pipelines: Design and optimize CI/CD pipelines, to improve development velocity and deployment quality.

Automation: Automate repetitive tasks and workflows, such as provisioning cloud resources, configuring servers, managing deployments, and implementing infrastructure as code (IaC) using tools like Terraform, CloudFormation, or Ansible.

Monitoring & Logging: Implement robust monitoring, alerting, and logging systems for enterprise and cloud-native environments using tools like Prometheus, Grafana, ELK Stack, NewRelic or Datadog.

Security: Ensure the infrastructure adheres to security best practices, including vulnerability assessments and incident response processes.

Collaboration: Work closely with development, QA, and IT teams to align DevOps strategies with project goals.

Mentorship: Lead, mentor, and train a team of DevOps engineers to foster growth and technical expertise.

Incident Management: Oversee production system reliability, including root cause analysis and performance tuning.

Required Skills & Qualifications:

Technical Expertise:

Strong proficiency in cloud platforms like AWS, Azure, or GCP.

Advanced knowledge of containerization technologies (e.g., Docker, Kubernetes).

Expertise in IaC tools such as Terraform, CloudFormation, or Pulumi.

Hands-on experience with CI/CD tools, particularly Bitbucket Pipelines, Jenkins, GitLab CI/CD, Github Actions or CircleCI.

Proficiency in scripting languages (e.g., Python, Bash, PowerShell).

Soft Skills:

Excellent communication and leadership skills.

Strong analytical and problem-solving abilities.

Proven ability to manage and lead a team effectively.

Experience:

4 years + of experience in DevOps or Site Reliability Engineering (SRE).

4+ years + in a leadership or team lead role, with proven experience managing distributed teams, mentoring team members, and driving cross-functional collaboration.

Strong understanding of microservices, APIs, and serverless architectures.

Nice to Have:

Certifications like AWS Certified Solutions Architect, Kubernetes Administrator, or similar.

Experience with GitOps tools such as ArgoCD or Flux.

Knowledge of compliance standards (e.g., GDPR, SOC 2, ISO 27001).

Perks & Benefits:

Competitive salary and performance bonuses.

Comprehensive health insurance for you and your family.

Professional development opportunities and certifications, including sponsored certifications and access to training programs to help you grow your skills and expertise.

Flexible working hours and remote work options.

Collaborative and inclusive work culture.

Join us to build and scale world-class systems that empower innovation and deliver exceptional user experiences.

You can directly contact us: Nine three one six one two zero one three two

Contract Review and Lifecycle management is no longer a niche idea. It is one of the fastest growing sectors within legal operations automation with a market size of $10B growing at 15% YoY. InkPaper helps corporations and law firms optimize their contract workflow and lifecycle management by providing workflow automation, process transparency, efficiency, and speed. Automation and Blockchain have the power to transform legal contracts as we know of today; if you are interested in being part of that journey, keep reading!

InkPaper.AI is looking for passionate DevOps Engineer who can drive and build next generation AI-powered products in Legal Technology: Document Workflow Management and E-signature platforms. You will be a part of the product engineering team based out of Gurugram, India working closely with our team in Austin, USA.

If you are a highly skilled DevOps Engineer with expertise in GCP, Azure, AWS ecosystems, and Cybersecurity, and you are passionate about designing and maintaining secure cloud infrastructure, we would love to hear from you. Join our team and play a critical role in driving our success while ensuring the highest standards of security.

Responsibilities:

• Solid experience in building enterprise-level cloud solutions on one of the big-3(AWS/Azure/GCP)
• Collaborate with development teams to automate software delivery pipelines, utilizing CI/CD tools and technologies.
• Responsible for configuring and overseeing cloud services, including virtual machines, containers, serverless functions, databases, and networking components, ensuring their effective management and operation.
• Responsible for implementing robust monitoring, logging, and alerting solutions to ensure optimal system health and performance
• Develop and maintain documentation for infrastructure, deployment processes, and security procedures.
• Troubleshoot and resolve infrastructure and deployment issues, ensuring system availability and reliability.
• Conduct regular security assessments, vulnerability scans, and penetration tests to identify and address potential threats.
• Implement security controls and best practices to protect systems, data, and applications in compliance with industry standards and regulations
• Stay updated on emerging trends and technologies in DevOps, cloud, and cybersecurity. Recommend improvements to enhance system efficiency and security.

An ideal candidate would credibly demonstrate various aspects of the InkPaper Culture code –

1. We solve for the customer
2. We practice good judgment
3. We are action-oriented
4. We value deep work over shallow work
5. We reward work over words
6. We value character over only skills
7. We believe the best perk is amazing peers
8. We favor autonomy
9. We value contrarian ideas
10. We strive for long-term impact

You Have:

• B.Tech in Computer Science.
• 2 to 4 years of relevant experience in DevOps.
• Proficiency in GCP, Azure, AWS ecosystems, and Cybersecurity
• Experience with: CI/CD automation, cloud service configuration, monitoring, troubleshooting, security implementation.
• Familiarity with Blockchain will be an edge.
• Excellent verbal communication skills.
• Good problem-solving skills.
• Attention to detail

At InkPaper, we hire people who will help us change the future of legal services. Even if you do not think you check off every bullet point on this list, we still encourage you to apply! We value both current experience and future potential.

Benefits

• Hybrid environment to work from our Gurgaon Office and from the comfort of your home.
• Great compensation package!
• Tools you need on us!
• Our insurance plan offers medical, dental, vision, short- and long-term disability coverage, plus supplemental for all employees and dependents
• 15 planned leaves + 10 Casual Leaves + Company holidays as per government norms

InkPaper is committed to creating a welcoming and inclusive workplace for everyone. We value and celebrate our differences because those differences are what make our team shine. We hire great people from diverse backgrounds, not just because it is the right thing to do, but because it makes us stronger. We are an equal opportunity employer and does not discriminate against candidates based on race, ethnicity, religion, sex, gender, sexual orientation, gender identity, or disability

Location: Gurugram or remote

Job Title: AWS-Azure Data Engineer with Snowflake

Location: Bangalore, India

Experience: 4+ years

Budget: 15 to 20 LPA

Notice Period: Immediate joiners or less than 15 days

Job Description:

We are seeking an experienced AWS-Azure Data Engineer with expertise in Snowflake to join our team in Bangalore. As a Data Engineer, you will be responsible for designing, implementing, and maintaining data infrastructure and systems using AWS, Azure, and Snowflake. Your primary focus will be on developing scalable and efficient data pipelines, optimizing data storage and processing, and ensuring the availability and reliability of data for analysis and reporting.

Responsibilities:

1. Design, develop, and maintain data pipelines on AWS and Azure to ingest, process, and transform data from various sources.
2. Optimize data storage and processing using cloud-native services and technologies such as AWS S3, AWS Glue, Azure Data Lake Storage, Azure Data Factory, etc.
3. Implement and manage data warehouse solutions using Snowflake, including schema design, query optimization, and performance tuning.
4. Collaborate with cross-functional teams to understand data requirements and translate them into scalable and efficient technical solutions.
5. Ensure data quality and integrity by implementing data validation, cleansing, and transformation processes.
6. Develop and maintain ETL processes for data integration and migration between different data sources and platforms.
7. Implement and enforce data governance and security practices, including access control, encryption, and compliance with regulations.
8. Collaborate with data scientists and analysts to support their data needs and enable advanced analytics and machine learning initiatives.
9. Monitor and troubleshoot data pipelines and systems to identify and resolve performance issues or data inconsistencies.
10. Stay updated with the latest advancements in cloud technologies, data engineering best practices, and emerging trends in the industry.

Requirements:

1. Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
2. Minimum of 4 years of experience as a Data Engineer, with a focus on AWS, Azure, and Snowflake.
3. Strong proficiency in data modelling, ETL development, and data integration.
4. Expertise in cloud platforms such as AWS and Azure, including hands-on experience with data storage and processing services.
5. In-depth knowledge of Snowflake, including schema design, SQL optimization, and performance tuning.
6. Experience with scripting languages such as Python or Java for data manipulation and automation tasks.
7. Familiarity with data governance principles and security best practices.
8. Strong problem-solving skills and ability to work independently in a fast-paced environment.
9. Excellent communication and interpersonal skills to collaborate effectively with cross-functional teams and stakeholders.
10. Immediate joiner or notice period less than 15 days preferred.

If you possess the required skills and are passionate about leveraging AWS, Azure, and Snowflake to build scalable data solutions, we invite you to apply. Please submit your resume and a cover letter highlighting your relevant experience and achievements in the AWS, Azure, and Snowflake domains.

Key Sills Required for Lead DevOps Engineer

Containerization Technologies

Docker, Kubernetes, OpenShift

Cloud Technologies

AWS/Azure, GCP

CI/CD Pipeline Tools

Jenkins, Azure Devops

Configuration Management Tools

Ansible, Chef,

SCM Tools

Git, GitHub, Bitbucket

Monitoring Tools

New Relic, Nagios, Prometheus

Cloud Infra Automation

Terraform

Scripting Languages

Python, Shell, Groovy

·       Ability to decide the Architecture for the project and tools as per the availability

·       Sound knowledge required in the deployment strategies and able to define the timelines

·       Team handling skills are a must

·       Debugging skills are an advantage

·       Good to have knowledge of Databases like Mysql, Postgresql

It is advantageous to be familiar with Kafka. RabbitMQ

·       Good to have knowledge of Web servers to deploy web applications

·       Good to have knowledge of Code quality checking tools like SonarQube and Vulnerability scanning

·       Advantage to having experience in DevSecOps

Note: Tools mentioned in bold are a must and others are added advantage

About the Organization

Real Estate Syndicators leverage SyndicationPro to manage billions in real estate assets and thousands of investors. Growing at 9% MoM, http://syndicationpro.com/">SyndicationPro.com is #1 Platform to Automate Real Estate Fund Raising, Investor Relations, & Close More Deals!

What makes SyndicationPro unique is that it is cash flow positive while maintaining a healthy growth rate and is backed by seasoned investors and real estate magnates. We are also part of, FirstPrinciples.io, a tech-holding company that starts, acquires, and advises B2B SaaS Companies. FirstPrinciples.io and SyndicationPro.com have people across India, U.S, Spain, and Germany.

SyndicationPro.com has been featured by https://in.finance.yahoo.com/news/syndicationpro-establishes-hq-lehi-utah-130600371.html?guccounter=1">Yahoo Finance and https://www.benzinga.com/business/best-crms-for-real-estate-investors/">Benzinga, among other top publications! We also were Finalists in Industry Leading Awards such as https://informaconnect.com/finovate-industry-awards/awards-categories/">Finnovate and https://www.cloud-awards.com/2021-software-awards-shortlist/">2021 SaaS Awards.

Tech Stack [High-Level]: We are JavaScript focused i.e., we work in ReactJS, NodeJS, AngularJS, TypeForm, TypeScript, Redis. On the server side, we work with AWS/GCP/DO. Database: MySQL, PostgreS and Mongo DB. API: REST and GraphQL API. We also have a strong DevOps stack - including Kubernetes(K8), Dockers and CI/CD automation.

About the Role:

This role provides you the opportunity to truly accelerate your engineering career by giving you a front-line seat on a Rocketship product. Our fintech product has grown by 10x over the last year and we are expecting that growth to continue for the foreseeable future. The leadership team is committed to make massive investments in its technology and people. Given the growth of the product, individuals will have opportunities to move into leadership roles.

Why SyndicationPro?

Along with having an explosive product, SyndicationPro also has mature leadership, systems, processes, and structures that most fast-growing StartUps lack. SyndicationPro.com is part of the FirstPrinciples.io Venture Studio; this gives us the operational and technical backbone that most young companies struggled with. We are also a profitable SaaS Company that is cash-flow positive; ensuring financial viability. Our founding team also are daily users of the product and are real estate syndicators themselves, ensuring that we continue to maintain product leadership.

Job Description:

Roles & Responsibilities:

1. Perform full stack development activities using MERN Stack
2. Ability to translate UX Designs into functional web apps using React JS
3. Technical architecture design along with system architect and product manager
4. Writing effective business logic (using Rest API or GraphQL API)
5. Algorithm design for system modules
6. Database design for scalable and secure system using NoSQL (MongoDB) or RDBMS (MySQL or PostgreSQL)
7. POC development with other engineers
8. Efforts estimations with Product Manager and Engineering Head
9. Test software to ensure responsiveness and efficiency
10. Writing Unit testing for robust system
11. Technical documentation

Requirement & Skills:

1. Bachelor’s degree in computer sciences or equivalent stream. PG is good to have
2. Strong Knowledge of algorithms and data structures
3. Hands on experience in MERN stack (MySQL or PostgreSQL would be plus)
4. Hands on experience to develop Rest/GraphQL API using Node.js with Typescript.
5. Hands on experience on AWS services (EC2, SQS, SES, Lambda).
6. Fundamentals of Docker/Containerized application development would be plus
7. Experience working with US Clients is a Must
8. Experience and Exposure working with different projects and business models will be an advantage
9. 5+ years of experience as Full Stack Development (MERN stack)
10. Experience in SaaS product development would be a plus
11. Experience in other JS frameworks like Next.JS, React Native/Expo would be plus

• Key Responsibilities : Use cases to support use case analysis E2E, define capabilities, understand the data and model Machine Learning Operations MLOps Azure Machine Learning, Azure Cognitive Services, Azure DevOps, Overall Azure Cloud Experience, Powershell, DSVM, AML Compute / Training Clusters Azure Infrastructure Experience, Python, Big Data Python Scripting 8 Automate ML models deployments,  Manage, monitor, troubleshoot machine learning infrastructure and Setup ML Pipe lines
• Technical Experience : Proven skills experience in Azure AI ML solution design and architecture based solution using Azure Cloud capabilities AML / AKS Proven record of embedding advanced analytical models into business processes Collaborate in multi-functional teams to evaluate business activities, and then develop innovative and effective approaches to tackle teams analytics problems and communicate results bitbucket, Nodejs, PowerBI SQL, Python
• Experience in setting up MLOps framework for AI ML team