Senior Security Engineer – Azure DevOps & GitHub Administration

At Truveta, we harness unique real-world data and live intelligence from a vast dataset owned by US health systems, all dedicated to our mission of saving lives with data. Our collaborative efforts drive groundbreaking medical advancements, enhance regulatory-grade evidence, and elevate patient care. Currently, we empower research on over 130 million de-iden…

About Gather AI At Gather AI, we are at the forefront of transforming the supply chain landscape. Our innovative software harnesses the power of autonomous drones and existing technology to gather real-time data, revolutionizing workflows that have traditionally been manual and prone to error. Our vision-powered platform enhances operational intelligence, making warehouses smarter, safer, and more efficient, thus redefining the standards of delivery. Join us in making a remarkable impact within the rapidly evolving robotics sector. If you are passionate about contributing to groundbreaking technologies that reshape the global supply chain, Gather AI is your ideal destination. About the Team As part of the Backend and Platform Engineering division, you will collaborate closely with the Fullstack Engineering team. Your role will ensure that our application services are supported by robust cloud infrastructure, capable of scaling and deploying securely. You will also work hand-in-hand with the ML Systems Engineering team, facilitating the infrastructure necessary for running production ML pipelines and handling data workloads. Additionally, you will coordinate with QA, Release Engineering, and Platform and Security teams to maintain stable testing environments, manage access controls, handle secrets management, and enforce operational governance. About the Role We are seeking a Cloud Engineer (Platform & Infrastructure) to enhance our cloud operations into a well-structured and scalable platform. While our foundational infrastructure is already active and supporting production workloads, we aim to refine our practices that have organically evolved. This is a unique opportunity to build upon an existing production environment by implementing stronger operational patterns, enhancing deployment safety, and ensuring that our infrastructure adequately supports growing system demands. This role is vital for the evolution of our cloud capabilities.

Join DigitalOcean as a Senior Infrastructure Security Engineer and play a crucial role in safeguarding our cloud infrastructure. You will be responsible for implementing security best practices, conducting audits, and collaborating with cross-functional teams to enhance our security posture. Your expertise will help in identifying vulnerabilities and ensuring compliance with industry standards.

Speechify builds text-to-speech tools that help over 50 million people turn written content into audio. From PDFs and books to news articles and websites, our products make reading more accessible and efficient. Our apps span iOS, Android, Mac, Chrome, and web, earning recognition such as Chrome Extension of the Year from Google and the 2025 Apple Design Award for Inclusivity. Our team of nearly 200 works remotely across the globe. We bring together frontend and backend engineers, AI researchers, and specialists from companies like Amazon, Microsoft, and Google, as well as alumni of top PhD programs and startups. Role Overview Speechify is hiring a Software Engineer for the AI data division in Hyderabad, India. This role focuses on all aspects of data collection that power our model training. The work centers on building and maintaining large-scale, high-quality datasets, integrating engineering, infrastructure, and research to do so efficiently. What You Will Do Identify and bring in new audio data sources to expand our ingestion pipeline. Manage and improve the cloud infrastructure supporting the ingestion pipeline (currently on GCP, configured with Terraform). Partner with scientists to improve dataset cost, throughput, and quality for advanced model development. Work with AI team members and company leadership to shape the strategic roadmap for datasets used in future consumer and enterprise products.

NeuraFlash, part of Accenture, creates business solutions that use AI technologies and platforms such as Salesforce Einstein, Service Cloud Voice, Amazon Connect, and Agentforce. The team focuses on transforming workflows and improving customer experiences for clients. NeuraFlash has been recognized as a leader in AI and Salesforce innovation, serving as Salesforce’s premier partner for Agentforce and the exclusive partner for its private beta launch. Projects at NeuraFlash span conversational AI, predictive analytics, and the latest generative AI tools. Team members work closely with experts from different fields to deliver solutions that help businesses adapt in a changing digital landscape. Role overview The Senior AWS Developer will design and implement complex solutions using AWS-optimized architectures for enterprise clients. This role centers on building and delivering solutions for contact centers, with a strong focus on Amazon Connect. What you will do Design and implement advanced solutions following AWS best practices Develop and maintain code, mainly in Python or JavaScript Work with core AWS services, prioritizing security and scalability Deliver projects focused on contact center technology, especially Amazon Connect Requirements Extensive development experience with Python or JavaScript Strong understanding of AWS core services and architecture Ability to apply AWS best practices for security and scalability Experience delivering enterprise-level solutions, particularly for contact centers Interest in working with new technologies and a hands-on coding approach Location This remote position is open to candidates based in India, specifically in Bengaluru, Chennai, Gurugram, Hyderabad, Noida, or Pune.

Establishing and configuring AWS services including EC2, RDS, and S3 while optimizing database performance.Implementing caching mechanisms at both server and database levels, conducting server monitoring, managing migrations, and ensuring data backups.Proficient in PHP with experience in WordPress considered a valuable asset.

Join Truveta as a Senior Cloud Infrastructure Security Engineer!At Truveta, we are dedicated to harnessing the power of real-world data and real-time intelligence to improve patient care. Our mission is clear: to Save Lives with Data. We collaborate with US health systems to facilitate groundbreaking medical discoveries, accelerate regulatory-grade evidence, and enhance patient outcomes. Our platform currently enables research on over 130 million de-identified patients across the United States.To achieve our ambitious goals, we are in search of a talented and diverse team that can tackle complex health and technical challenges. We seek passionate individuals who are inspired by the prospect of applying data securely to develop real-world health solutions. If you are a problem solver and a collaborative team player ready to make a meaningful impact, we want to hear from you!This position requires daily onsite presence at our headquarters in Hyderabad.

Join Notion Labs as a Software Engineer specializing in Data Infrastructure. In this role, you will be responsible for building and maintaining robust data systems that facilitate efficient data processing and analytics. Collaborate with cross-functional teams to design scalable solutions that enhance our platform's performance and usability.

Join Our Team as a Senior Developer for Microsoft Copilot Studio!Are you a talented developer passionate about creating advanced conversational experiences? We invite you to contribute your skills in designing, developing, and maintaining innovative solutions using Microsoft Copilot Studio and Power Virtual Agents (PVA).Key Responsibilities:Craft and sustain sophisticated conversational experiences leveraging Microsoft Copilot Studio / PVA.Develop intricate topics, actions, workflows, variables, plugins, and custom extensions within Copilot Studio.Design comprehensive Copilot-powered solutions utilizing the Power Platform (including Power Apps, Power Automate, Dataverse, and AI Builder).Integrate Copilot solutions with Azure services, API Management, external systems, and enterprise data sources.Implement advanced features like Human-in-the-Loop (HITL), escalation paths, fallback logic, and conversation orchestration.Enhance bot performance through analytics, telemetry, usage data, and conversational metrics.Develop and audit custom connectors, Azure Functions, Logic Apps, and integration frameworks.

At TTEC Digital, we empower our clients to create environments where employees feel valued and fully supported, believing that an exceptional customer experience begins with a motivated workforce. Our vision is to cultivate a workplace where employees can truly thrive.Position OverviewThe Principal Solution Architect for the AWS Contact Center Practice will play a pivotal role in pre-sales activities, solution design, and market strategy within TTEC Digital’s AWS division. This position is focused on architecting scalable AWS contact center solutions, developing customer demonstrations, crafting reusable technical assets, and equipping delivery teams with best practices and accelerators.Key ResponsibilitiesSolution Development & Pre-Sales SupportDesign and develop technical solutions and architecture diagrams for client proposals and RFP responses.Create comprehensive effort estimates and Scopes of Work (SOWs).Transform business needs into actionable technical delivery plans.Assist in RFP/RFI responses with solution narratives and technical estimations.Work closely with Solutions Architects to refine and authenticate designs.Demonstration & Proof-of-Concept DevelopmentConstruct customer-facing demonstrations and POCs that showcase AWS contact center capabilities.Establish reusable demo environments and technical accelerators.Develop reference architectures and implementation patterns for prevalent use cases.Enablement & DocumentationGenerate technical documentation, solution guides, and best-practice resources.Create marketing collateral including solution briefs and white papers.Maintain an updated internal knowledge base on AWS contact center integrations and patterns.

Role Overview Experian is hiring a Lead Software Developer in Hyderabad. This role focuses on building software solutions using AWS along with Java and Python. The position involves guiding a team of developers and contributing to projects that support business goals. What You Will Do Design and develop applications with AWS, Java, and Python Lead and mentor a group of software developers Collaborate with team members to deliver project objectives Location Hyderabad

Role Overview neuraflash is hiring a Senior AWS Developer for its Managed Services team. This remote position is open to candidates based in Bengaluru, Chennai, Gurugram, Hyderabad, Noida, or Pune. What You Will Do Design, implement, and maintain scalable cloud applications on Amazon Web Services. Develop and manage high-performance cloud solutions for a range of clients. Tackle complex technical challenges and contribute new ideas to improve our services. Location Details This role is fully remote within India. Applicants must reside in one of the following cities: Bengaluru, Chennai, Gurugram, Hyderabad, Noida, or Pune.

NeuraFlash, part of Accenture, specializes in building AI-driven solutions that connect platforms like Salesforce Einstein, Service Cloud Voice, and Amazon Connect. The team focuses on improving workflows and customer experiences through conversational AI and predictive analytics. NeuraFlash is recognized for its early work with generative AI and remains a leading Salesforce partner for Agentforce, shaping projects with an emphasis on innovation. Team members collaborate with experts to tackle real business problems, from developing AI bots to optimizing operations using the latest generative AI tools. The company values contributions from those interested in advancing AI and offers opportunities to grow alongside skilled professionals. Role overview This AWS Technical Architect role is fully remote within India, open to candidates based in Bengaluru, Chennai, Gurugram, Hyderabad, Noida, or Pune. The position centers on designing and launching Amazon Connect solutions, guiding customers through cloud adoption, and ensuring successful delivery of AWS and Salesforce projects. Key responsibilities Design and implement Amazon Connect solutions to support customer goals. Conduct technology assessments and audits to evaluate ROI and outcomes for migrating to the AWS Connect Platform, with attention to agent experience and productivity. Lead business process reviews to understand customer workflows and needs. Educate customers on AWS capabilities, and participate in architecture discussions to ensure effective cloud deployment. Run discovery sessions, assist customers in developing ROI for projects, and deliver presentations and estimates to support those objectives. Translate customer requirements into contact center designs, applying best practices and relevant AWS services. Oversee and mentor technical teams, providing guidance to deliver Salesforce and AWS Cloud solutions on time, within budget, and at the expected quality.

Join Experian as a Data Architect specializing in Cloud Data & Analytics with a focus on AWS. In this role, you will leverage your expertise in cloud technologies to design and implement robust data architecture solutions that drive business intelligence and analytics capabilities. Collaborate with cross-functional teams to ensure data integrity and optimize data flow, enabling data-driven decision-making across the organization.

Strategic Leadership & VisionExecutive Consulting: Serve as a trusted technical advisor to various teams, customer executives, and technical leaders, adeptly translating intricate technical roadmaps into tangible business value and comprehensive risk assessments.Enterprise Cloud Strategy: Develop a long-term, organization-wide strategy for cloud adoption, migration, and modernization, with a keen emphasis on Google Cloud Platform (GCP) services while ensuring strategic interoperability with additional cloud platforms, particularly AWS.Architecture Governance: Implement and uphold global cloud governance frameworks, architectural standards, reference models, and reusable deployment patterns, ensuring optimal security and operational efficiency across all cloud environments.DevOps & Cost Strategy: Foster advanced DevOps practices and accountability models. Lead initiatives for cloud cost optimization, negotiate significant enterprise cloud contracts, and establish technical guardrails to maximize return on investment across a multi-cloud architecture.

We are seeking a talented Software Architect with expertise in .NET and AWS to join our dynamic team. In this role, you will be responsible for designing and implementing scalable software solutions that meet our clients' needs. You will collaborate with cross-functional teams to deliver high-quality products and drive technology advancements.

Veeva Systems creates cloud-based solutions for the life sciences sector, aiming to speed up the delivery of therapies to patients. The company reported over $3 billion in revenue last year and continues to experience strong growth. Veeva’s approach centers on four core values: Do the Right Thing, Customer Success, Employee Success, and Speed. In 2021, Veeva became a public benefit corporation, which means the company balances the needs of customers, employees, society, and investors. The team’s work focuses on transforming the life sciences industry and making a positive impact for customers, employees, and communities. For more about this mission, watch this video. Location This Software Engineer - Infrastructure position is based in Hyderabad, India.

Yext is seeking a Data Engineer to join the team in Hyderabad, India. This position plays a key role in building and optimizing data pipelines that support analytics and reporting across the company. The work centers on improving data flow, integrating information from multiple sources, and ensuring reliable delivery to business teams. What you will do Design, build, and refine scalable data pipelines Enhance processes that move and transform data for analytics and reporting needs Collaborate with data analysts and business teams to deliver accurate, timely data Integrate data from various systems to support analytics initiatives Handle multiple systems and evolving data requirements Requirements Strong analytical skills and a curious mindset Experience working with large datasets Ability to extract insights using exploratory analysis and machine learning methods Comfortable working with both technical and business stakeholders Self-driven and able to balance competing priorities Location This role is based in Hyderabad, India.

Join Schrödinger, a pioneering company dedicated to transforming drug discovery through advanced computational methods. As a Software Developer in our LiveDesign Infrastructure team, you will play a crucial role in developing and maintaining software solutions that aid in the design and optimization of molecular compounds.Your responsibilities will include collaborating with cross-functional teams, enhancing existing systems, and contributing to the overall architecture of our software platform. We are looking for innovative problem solvers who are eager to make an impact in the field of computational chemistry.

Join our dynamic team at accellor as a Senior MLOps Engineer, where you will play a crucial role in architecting, building, and sustaining the infrastructure and pipelines essential for operationalizing AI and Machine Learning systems at scale. This position serves as a vital link between model development and production deployment, ensuring that ML and GenAI workloads are dependable, observable, cost-effective, and continuously optimized across enterprise environments.Key ResponsibilitiesDesign and execute comprehensive ML pipelines involving data ingestion, feature engineering, model training, evaluation, and deployment.Develop and oversee CI/CD pipelines for ML models, incorporating automated testing, validation, and rollback strategies.Architect and sustain model serving infrastructure for real-time and batch inference workloads, including deployments of LLM and agentic AI.Implement systems for model monitoring, drift detection, and alerting to maintain production model reliability and health.Oversee experiment tracking, model versioning, and artifact registries to facilitate reproducibility and governance.Optimize computing costs and inference latency for both GPU and CPU workloads on cloud platforms (AWS, Azure, or GCP).Utilize Docker and Kubernetes for the containerization and orchestration of ML workloads.Automate data pipeline workflows and manage feature stores for training and inference processes.Collaborate with AI Engineers, Data Scientists, and Platform teams to streamline the transition from prototype to production.Establish and uphold MLOps best practices, standards, and documentation across the engineering team.