About The Company: At ReKnew, our mission is to empower enterprises to revitalize their core business and organization by positioning themselves for the new world of AI. We're a startup founded by seasoned practitioners, supported by expert advisors, and built on decades of experience in enterprise technology, data, analytics, AI, digital, and automation across diverse industries. We're actively seeking top talent to join us in this mission. What You'll Do: As a DevOps Engineer, you will focus on building and maintaining robust, scalable, and secure continuous delivery platforms. This hands-on role involves designing and implementing infrastructure and application solutions across hybrid cloud environments, with a strong emphasis on automation, reliability, and continuous improvement. You will contribute to the deployment and operational excellence of critical applications, including those within the big data and AI/ML ecosystems. Key Responsibilities: Design, implement, and manage CI/CD pipelines for automated code deployments. Provision and manage cloud infrastructure using Infrastructure as Code (IaC) tools like Terraform and CloudFormation. Administer and optimize container orchestration platforms, primarily Kubernetes and EKS. Develop automation scripts and tools using Python. Implement comprehensive monitoring, logging, and alerting solutions for application and infrastructure health. Ensure security best practices are integrated throughout the development and deployment lifecycle. Support and optimize environments for big data and AI/ML workloads, including Airflow. Qualifications: Solid experience with Kubernetes and EKS. Minimum of 4+ years of professional experience in a DevOps role. Proficiency in Docker and containerization best practices. Hands-on experience with IaC tools (Terraform, CloudFormation). Strong programming skills in Python for automation. Demonstrated experience in implementing robust monitoring, alerting, and logging solutions. Familiarity with CI/CD principles and tools for code deployments. Understanding of security principles in cloud environments. Experience with or knowledge of the big data ecosystem and AI/ML infrastructure. Experience with workflow orchestration tools, specifically Airflow. Exposure to or understanding of all three major cloud platforms (AWS, Azure, GCP). Who You Are: A passionate problem-solver with a strong bias for automation. Committed to building reliable, scalable, and secure systems. An excellent communicator with a collaborative mindset. Proactive in identifying and resolving operational challenges. Show more Show less
Company Overview At ReKnew, our mission is to empower enterprises to revitalize their core business and organization by positioning themselves for the new world of AI. We're a startup founded by seasoned practitioners, supported by expert advisors, and built on decades of experience in enterprise technology, data, analytics, AI, digital, and automation across diverse industries. We're actively seeking top talent to join us in this mission. Job Description We're seeking a highly skilled Senior Data Engineer with deep expertise in AWS-based data solutions. In this role, you'll be responsible for designing, building, and optimizing large-scale data pipelines and frameworks that power analytics and machine learning workloads. You'll lead the modernization of legacy systems by migrating workloads from platforms like Teradata to AWS-native big data environments such as EMR, Glue, and Redshift. A strong emphasis is placed on reusability, automation, observability, performance optimization, and managing schema evolution in dynamic data lake environments . Key Responsibilities Migration & Modernization: Build reusable accelerators and frameworks to migrate data from legacy platforms (e.g., Teradata) to AWS-native architectures such as EMR, Glue, and Redshift. Data Pipeline Development: Design and implement robust ETL/ELT pipelines using Python, PySpark, and SQL on AWS big data platforms. Code Quality & Testing: Drive development standards with test-driven development (TDD), unit testing, and automated validation of data pipelines. Monitoring & Observability: Build operational tooling and dashboards for pipeline observability, including tracking key metrics like latency, throughput, data quality, and cost. Cloud-Native Engineering: Architect scalable, secure data workflows using AWS services such as Glue, Lambda, Step Functions, S3, and Athena. Collaboration: Partner with internal product teams, data scientists, and external stakeholders to clarify requirements and drive solutions aligned with business goals. Architecture & Integration: Work with enterprise architects to evolve data architecture while securely integrating AWS systems with on-premise or hybrid environments. This includes strategic adoption of data lake table formats like Delta Lake, Apache Iceberg, or Apache Hudi for schema management and ACID capabilities. ML Support & Experimentation: Enable data scientists to operationalize machine learning models by providing clean, well-governed datasets at scale. Documentation & Enablement: Document solutions thoroughly and provide technical guidance and knowledge sharing to internal engineering teams. Team Training & Mentoring: Act as a subject matter expert, providing guidance, training, and mentorship to junior and mid-level data engineers, fostering a culture of continuous learning and best practices within the team. Qualifications Experience: 7+ years in technology roles, with at least 5+ years specifically in data engineering, software development, and distributed systems. Programming: Expert in Python and PySpark (Scala is a plus). Deep understanding of software engineering best practices. AWS Expertise: 3+ years of hands-on experience in the AWS data ecosystem. Proficient in AWS Glue, S3, Redshift, EMR, Athena, Step Functions, and Lambda. Experience with AWS Lake Formation and data cataloging tools is a plus. AWS Data Analytics or Solutions Architect certification is a strong plus. Big Data & MPP Systems: Strong grasp of distributed data processing. Experience with MPP data warehouses like Redshift, Snowflake, or Databricks on AWS. Hands-on experience with Delta Lake, Apache Iceberg, or Apache Hudi for building reliable data lakes with schema evolution, ACID transactions, and time travel capabilities. DevOps & Tooling: Experience with version control (e.g., GitHub/CodeCommit) and CI/CD tools (e.g., CodePipeline, Jenkins). Familiarity with containerization and deployment in Kubernetes or ECS. Data Quality & Governance: Experience with data profiling, data lineage, and relevant tools. Understanding of metadata management and data security best practices. Bonus: Experience supporting machine learning or data science workflows. Familiarity with BI tools such as QuickSight, PowerBI, or Tableau. Show more Show less
We’re looking for a Marketing Associate who’s ready to learn fast, think sharp, and own execution. What you'll do? Manage ReKnew’s content calendar and social presence (with a focus on LinkedIn) Support campaign execution, partnerships, and community engagement Research trends, competitors, and GTM signals — turn insights into action Assist in event promotion and thought leadership amplification Track campaign performance with simple reporting What you bring? Minimum of 3 years in marketing, communications, or related field Bachelor's degree in relevant field Strong writing and storytelling skills Curiosity about AI, GTM, and B2B SaaS Creative mindset, detail-driven execution Familiarity with tools like LinkedIn Campaign Manager, Canva, HubSpot, and other leading CRM and Marketing tools Know how to use essential tools like ChatGPT, Perplexity, Claude, and other LLM tools. Why join ReKnew? This isn’t a back-office role. You’ll be in the room where strategy meets execution. You’ll experiment, ship campaigns, and see the direct impact of your work. Most importantly, you’ll grow with a team that’s building a new category in GTM.
ReKnew Overview We are ReKnew! Our mission is to help Enterprises revitalize their core business and organization by positioning themselves for the new world of AI. We believe that AI and data are not just a technological shift but a fundamental business transformation. We are a startup founded by practitioners with decades of experience in enterprise technology, data, analytics, AI, digital, and automation. We are surrounded by a world-class advisory board and are dedicated to building a company that values expertise, innovation, and direct impact. Description Join our dynamic engineering team to build the next generation of Data, AI, and Agentic applications that will drive significant value for our company and our clients and partners. We are looking for an experienced Python Application Engineer who thrives in a fast-paced environment and is deeply familiar with the modern Python ecosystem for building robust, scalable, and intelligent applications and services. This role is ideal for professionals looking to blend their technical depth in modern Python with AI/data engineering. Key Responsibilities Design, develop, and deploy high-performance, maintainable Python-based applications and microservices / APIs for our Data & AI/Agentic application suite. Work closely with data engineers, data scientists and AI engineers to productionize sophisticated applications and intelligent agent workflows. Implement robust data validation and serialization using frameworks like Pydantic to ensure data integrity across our systems. Build and maintain reliable Applications and REST APIs using the FastAPI framework, ensuring low-latency and high-throughput web server performance. Containerize and orchestrate services using Docker for consistent development, testing, and production environments. Implement professional-grade logging and monitoring to ensure operational visibility and fast troubleshooting. Develop database interaction layers using SQLAlchemy (ORM) for efficient and secure data persistence. Collaborate on architectural decisions, documentation, code reviews, and setting best practices for Python development. Participate in demos, presentations and training others as needed Required Skills & Attributes for Success We are seeking a candidate with 3+ years of professional experience in a similar role who possesses deep expertise in: Modern Python and object-oriented programming best practices. Pydantic for data modelling, validation, and settings management. Web Servers & HTTP: Strong understanding of HTTP protocols, asynchronous programming, and building high-performance services with frameworks like FastAPI . API/Microservices Development: Proven track record building and documenting resilient REST ful APIs. Database ORM: Extensive experience with SQLAlchemy for efficient database operations and schema management. Containerization: Proficient in creating and managing applications using Docker . Observability: Implementing effective structured logging and basic monitoring strategies. Templating: Familiarity with templating engines like Jinja (or similar) for minimal front-end or internal tooling needs. Dev Tools: Expertise in managing source code in Git / GitHub , building code using VSCode and developing tests using PyTest Preferred Skills Experience in any of the following areas will be a significant advantage: AI/Agentic Frameworks: Hands-on experience with modern Python-based AI orchestration and development tools like LangChain or LangGraph . Data Manipulation: Expertise in large-scale data wrangling and analysis using Pandas or Polars . Databases: Practical experience with relational database systems such as PostgreSQL or working with file-based systems like SQLite . NoSQL: Practical experience building AI-native data applications on vector databases or graph databases . Cloud/DevOps: Familiarity with CI/CD pipelines and deployment to major cloud platforms (AWS, GCP, or Azure). AI Coding Assistants: Hands-on experience developing Python applications aided by one of the AI assistants: GitHub Co-Pilot, Cursor, any major CLI, etc. Salary Range: Depends on the Exp. What We Offer Professional Growth • Opportunity to lead cutting-edge AI transformation at global financial institution • Access to latest AI development technologies and platforms • Collaboration with industry-leading AI researchers and technology vendors • Professional development budget for advanced AI/ML training and certification Compensation & Benefits • Competitive base salary with performance-based bonus structure • Stock options and long-term incentive compensation • Open to both full-time employees and experienced consultants/contractors Work Environment • Fast-paced, innovation-focused environment with strong investment in emerging technologies • Collaborative culture with emphasis on continuous learning and professional development • Global organization with opportunities for international exposure and career advancement • Strong commitment to diversity, equity, inclusion, and employee well-being If you're passionate about building intelligent data and AI applications that enable Enterprise-wide transformation, we’d love to hear from you. To be considered, we are looking for candidates with GitHub repositories and/or contributions to open-source projects in addition to relevant experience.
ReKnew Overview We are ReKnew! Our mission is to help Enterprises revitalize their core business and organization by positioning themselves for the new world of AI. We believe that AI and data are not just a technological shift but a fundamental business transformation. We are a startup founded by practitioners with decades of experience in enterprise technology, data, analytics, AI, digital, and automation. We are surrounded by a world-class advisory board and are dedicated to building a company that values expertise, innovation, and direct impact. Description Join our dynamic engineering team to build the next generation of Data, AI, and Agentic applications that will drive significant value for our company and our clients and partners. We are looking for an experienced Python Application Engineer who thrives in a fast-paced environment and is deeply familiar with the modern Python ecosystem for building robust, scalable, and intelligent applications and services. This role is ideal for professionals looking to blend their technical depth in modern Python with AI/data engineering. Key Responsibilities Design, develop, and deploy high-performance, maintainable Python-based applications and microservices / APIs for our Data & AI/Agentic application suite. Work closely with data engineers, data scientists and AI engineers to productionize sophisticated applications and intelligent agent workflows. Implement robust data validation and serialization using frameworks like Pydantic to ensure data integrity across our systems. Build and maintain reliable Applications and REST APIs using the FastAPI framework, ensuring low-latency and high-throughput web server performance. Containerize and orchestrate services using Docker for consistent development, testing, and production environments. Implement professional-grade logging and monitoring to ensure operational visibility and fast troubleshooting. Develop database interaction layers using SQLAlchemy (ORM) for efficient and secure data persistence. Collaborate on architectural decisions, documentation, code reviews, and setting best practices for Python development. Participate in demos, presentations and training others as needed Required Skills & Attributes for Success We are seeking a candidate with 3+ years of professional experience in a similar role who possesses deep expertise in: Modern Python and object-oriented programming best practices. Pydantic for data modelling, validation, and settings management. Web Servers & HTTP: Strong understanding of HTTP protocols, asynchronous programming, and building high-performance services with frameworks like FastAPI. API/Microservices Development: Proven track record building and documenting resilient RESTful APIs. Database ORM: Extensive experience with SQLAlchemy for efficient database operations and schema management. Containerization: Proficient in creating and managing applications using Docker. Observability: Implementing effective structured logging and basic monitoring strategies. Templating: Familiarity with templating engines like Jinja (or similar) for minimal front-end or internal tooling needs. Dev Tools: Expertise in managing source code in Git / GitHub, building code using VSCode and developing tests using PyTest Preferred Skills Experience in any of the following areas will be a significant advantage: AI/Agentic Frameworks: Hands-on experience with modern Python-based AI orchestration and development tools like LangChain or LangGraph. Data Manipulation: Expertise in large-scale data wrangling and analysis using Pandas or Polars. Databases: Practical experience with relational database systems such as PostgreSQL or working with file-based systems like SQLite. NoSQL: Practical experience building AI-native data applications on vector databases or graph databases. Cloud/DevOps: Familiarity with CI/CD pipelines and deployment to major cloud platforms (AWS, GCP, or Azure). AI Coding Assistants: Hands-on experience developing Python applications aided by one of the AI assistants: GitHub Co-Pilot, Cursor, any major CLI, etc. Salary Range: Depends on the Exp. What We Offer Professional Growth • Opportunity to lead cutting-edge AI transformation at global financial institution • Access to latest AI development technologies and platforms • Collaboration with industry-leading AI researchers and technology vendors • Professional development budget for advanced AI/ML training and certification Compensation & Benefits • Competitive base salary with performance-based bonus structure • Stock options and long-term incentive compensation • Open to both full-time employees and experienced consultants/contractors Work Environment • Fast-paced, innovation-focused environment with strong investment in emerging technologies • Collaborative culture with emphasis on continuous learning and professional development • Global organization with opportunities for international exposure and career advancement • Strong commitment to diversity, equity, inclusion, and employee well-being If you're passionate about building intelligent data and AI applications that enable Enterprise-wide transformation, we’d love to hear from you. To be considered, we are looking for candidates with GitHub repositories and/or contributions to open-source projects in addition to relevant experience.
Role Overview: You will be joining the dynamic engineering team at ReKnew to contribute to building the next generation of Data, AI, and Agentic applications. As an experienced Python Application Engineer, you will play a crucial role in designing, developing, and deploying high-performance Python-based applications and microservices. This position offers an exciting opportunity to work with a team of experts in enterprise technology, data, analytics, AI, digital, and automation. Key Responsibilities: - Design, develop, and deploy high-performance Python-based applications and microservices/APIs for the Data & AI/Agentic application suite. - Collaborate closely with data engineers, data scientists, and AI engineers to bring sophisticated applications and intelligent agent workflows into production. - Implement robust data validation and serialization using frameworks like Pydantic to maintain data integrity across systems. - Build and maintain reliable applications and REST APIs using the FastAPI framework for low-latency and high-throughput web server performance. - Containerize and orchestrate services with Docker for consistent development, testing, and production environments. - Implement professional-grade logging and monitoring for operational visibility and fast troubleshooting. - Develop database interaction layers with SQLAlchemy (ORM) for efficient and secure data persistence. - Collaborate on architectural decisions, documentation, code reviews, and setting best practices for Python development. - Participate in demos, presentations, and training sessions as required. Qualification Required: - 3+ years of professional experience in a similar role with expertise in modern Python and object-oriented programming best practices. - Deep knowledge of Pydantic for data modeling, validation, and settings management. - Strong understanding of web servers, HTTP protocols, and building high-performance services with frameworks like FastAPI. - Proven track record in building resilient RESTful APIs and documenting them. - Extensive experience with SQLAlchemy for efficient database operations and schema management. - Proficiency in containerization using Docker, structured logging, and basic monitoring strategies. - Familiarity with templating engines like Jinja for front-end or internal tooling needs. - Expertise in managing source code with Git/GitHub, building code with VSCode, and developing tests using PyTest. Additional Company Details: ReKnew is a startup founded by industry practitioners with extensive experience in enterprise technology, data, analytics, AI, digital, and automation. The company is committed to valuing expertise, innovation, and direct impact in its pursuit of helping enterprises revitalize their core business and organization in the era of AI. If you are passionate about contributing to the development of intelligent data and AI applications for enterprise-wide transformation, ReKnew welcomes candidates with GitHub repositories and contributions to open-source projects, in addition to relevant experience.,
ReKnew's ReLearn EdTech Practice Lead ReKnew | India | Remote Who We Are ReKnew, a tech-forward data and AI transformation company founded by senior executives with decades of experience leading large-scale initiatives at Fortune 500 and Federal clients. We've built enterprise-grade Data & AI solutions for Fortune 500 clients. Now we're democratizing this expertise through Training-as-a-Service . The Opportunity Build and scale our AI literacy practice from the ground up. Transform our enterprise curriculum (covering Data Engineering, GenAI, Agentic Systems, MLOps) into accessible learning experiences for diverse audiences—veterans transitioning to tech, non-technical professionals, and career changers. We have the content. We need you to build the practice. What You'll Own Design learning pathways for different personas (non-tech backgrounds, veterans, professionals) Build scalable EdTech operations: LMS selection, certification programs, learner journeys Create hybrid delivery models (self-paced + cohort-based + mentorship) Establish partnerships with organizations serving target segments Develop business model: pricing, packaging, go-to-market Track learning outcomes and iterate based on data You Should Have 5+ years building EdTech products or programs (not just teaching) Track record of taking 0→1 educational initiatives to scale Experience designing learning for technical topics with non-technical audiences Understanding of skills transformation programs (bootcamps, reskilling, upskilling) Strong operational mindset: you build systems, not just courses Entrepreneurial energy—comfortable with ambiguity Nice to Have Experience with veteran transition programs or workforce development Background in SaaS/B2B EdTech business models Familiarity with corporate training or L&D ecosystems Network in Indian EdTech/reskilling space Why This Role High impact : Enable thousands to enter the AI economy Creative freedom : Build the practice your way Market timing : AI literacy is the #1 workforce challenge globally Founding team role : Shape company direction beyond just EdTech What We're Not Looking For Another data scientist or AI engineer (we have that covered) Someone who just wants to teach courses Traditional academic backgrounds without execution experience ReKnew is an equal opportunity employer committed to building a diverse team of practitioners. Join an exciting team that is at the cusp of technology and enablement of that technology in talent.