Remote Devops Jobs • SQL

Be part of a dynamic team that is shaping the future of energy and technology. Build and maintain backend systems and data pipelines for AI-based software platforms, integrating SQL/NoSQL databases and collaborating with engineering teams to enhance performance. Design, deploy, and optimize cloud infrastructure on Google Cloud Platform, including Kubernetes clusters, virtual machines, and cost-effective scalable architecture.

As a DevOps Engineer / Site Reliability Engineer on the Veradigm Payer Dev Ops team, you’ll work closely with Business and Technical Leaders from across the organization to manage and monitor our Azure based cloud solutions, focusing on automation, scalability, availability, and security. You will be responsible for designing and building our Cloud infrastructure in Azure, creating a foundation for success in managing systems in a public cloud setting.

As a Senior Machine Learning Ops Engineer, you will design and build large-scale architectures, workflows, tools, and automation for processing data and apply machine learning engineering to solve global business challenges with a focus on making tasks easier for data scientists.

We are seeking a highly skilled Senior Specialist Automation Developer to design, develop, and implement Robotic Process Automation (RPA) solutions that improve business efficiency for Procurement Services. The ideal candidate should have experience with RPA tools like UiPath & Power Automate and possess strong analytical and problem-solving skills. The role is based in Chennai.

The Data Science team is hiring an experienced Machine Learning Engineer with a background building machine learning and statistical modeling frameworks from scratch, to assist with optimizing different aspects of the modeling process (Data Validation, Data Visualization, Data Stores & Structures, Feature Engineering, Model Training & Evaluation, Deployments) and improving a variety of Swish products. This role involves engineering custom solutions to solve complex data-related sports challenges across multiple leagues.

This person will play a pivotal role in ensuring a seamless experience for both our developers and users, driving improvements in our infrastructure, the development lifecycle, automating tasks, and taking our development tools to the next level with AI. You will architect and build scalable, highly available systems alongside our infrastructure team that serve millions of daily users.

Minimum 11 -12 years of experience in application support is required. This role involves leading mid-sized teams and requires knowledge of DEVOPS methodologies and CD/CI. The candidate should be customer-focused, goal-oriented, and possess excellent analytical and problem-solving skills, along with good verbal/written communication skills. Good knowledge of IIS troubleshooting & ability to read the event viewer logs from Windows server is needed.

As a Senior DataOps Engineer I, you will play a central role in helping secure our enterprise, cloud native environments, applications and data. We’re looking for engineers that understand data and automation are important ingredients to our mission and know how to actively employ these ingredients at scale. Beyond the technical expertise, we value individuals who can partner cross-functionally across various teams, driving impactful outcomes and further securing our digital landscape.

As a Cloud Engineer (Azure) at Techie Talent, you'll be part of transforming the tech industry through our honest, transparent, and people-centric approach. Your role will be diverse and dynamic. You'll be instrumental in developing and maintaining our software solutions, working with a varied technology stack, and ensuring that our products are functional, efficient, reliable, and scalable.

Own the internal tooling layer end-to-end which includes ideating, building, and shipping data-driven Streamlit apps backed by robust pipelines. Collaborate with platform engineers whenever your code touches shared services. You'll design & build Streamlit apps that surface core KPIs, anomaly-detection workflows, and AI rate-review UIs, while modeling the data, writing clear, performant SQL and dbt models that power your apps and keep logic in one place.