Senior Technology Engineer - AI/ML Platforms

Join our dynamic team at gsstech-group as a Senior Technology Engineer, where you will leverage your expertise in AI/ML platforms, MLOps, and scalable inference systems. In this pivotal role, you will be responsible for the design, deployment, and optimization of cutting-edge AI-driven solutions in both on-premises and cloud environments, with a particular e…

Join our dynamic team at Flywire as a Senior Software Engineer II, where you will play a pivotal role in enhancing our Payments Platform. You will collaborate with cross-functional teams to design, develop, and implement innovative payment solutions that will drive our growth in the fintech sector. Your expertise will be vital in ensuring the seamless integration of our payment systems, enabling us to provide exceptional service to our clients worldwide.

Collaborate with Industry LeadersJoin the dynamic WiFi team at Arista Networks, where you will be at the forefront of developing next-gen WiFi solutions in a high-energy setting. This team manages the full lifecycle of Arista's Cloud-managed WiFi product portfolio. This role focuses specifically on the WiFi AccessPoint team.Your ResponsibilitiesAs a vital member of the AccessPoint team, you will engage with cross-functional teams to gather product requirements, architect innovative solutions, develop software, and ensure successful deployment for final validation. You will keep abreast of emerging technologies and their implications on Arista’s offerings, contributing fresh and inventive ideas to enhance our products and solidify our position as a leader in the campus networking sector. Additionally, you will collaborate closely with sales and support teams to deliver new solutions, grasp customer requirements, and address escalations effectively. Your role will encompass a diverse range of responsibilities, from developing new access points and implementing features to tracking technological advancements and liaising with customer-facing teams.

Join our innovative team at Continental as an Automation Platform Engineer. In this role, you will be pivotal in developing and maintaining our automation platforms, ensuring efficiency and reliability in our operations. You will collaborate with cross-functional teams to implement solutions that enhance our automation capabilities.

Job Overview: Join JioStar as a Senior Software Development Engineer in our Ads Platform team, where you'll play a critical role in constructing the advanced systems that drive our thriving advertising business. Unlike traditional consumer applications, your focus will be on developing high-performance, data-intensive interfaces that empower advertisers, sales personnel, and operations managers to efficiently create, oversee, and optimize intricate ad campaigns and ad sets at scale. You will serve as a vital link between complex backend ad-logic and a user-friendly operational workflow, ensuring seamless functionality.About Our Team: At JioStar, our Ad Platform stands as one of India's premier video advertising solutions, and we are ambitiously aiming for even greater heights. With profound expertise in Video-On-Demand, Live Sports, and Ad Monetization, our mission is to establish the most effective and scalable ad technology ecosystem in the world. Our engineering team operates across the complete ad tech spectrum, from high-throughput backend services to deeply integrated, impactful ad experiences on client platforms. We pride ourselves on our diverse technological experience, tackling exciting challenges and solving complex problems. If you are passionate about fast-paced development, continuous learning, and contributing to a product that sits at the intersection of content, monetization, and user experience, we would love to hear from you.

P-1348 At Databricks, we are dedicated to empowering data teams to tackle some of the most challenging problems in the world, ranging from security threat detection to the development of cancer drugs. Our mission is to create and manage the leading data and AI infrastructure platform, allowing our customers to concentrate on the critical challenges central to their missions. Our engineering teams are committed to developing innovative technical products that meet real and significant needs globally. We continuously push the limits of data and AI technology while ensuring resilience, security, and scalability to enhance our customers' success on our platform. We are responsible for the operation of one of the largest scale software platforms, comprising millions of virtual machines that generate terabytes of logs and process exabytes of data on a daily basis. At this scale, we encounter cloud hardware, network, and operating system issues, and our software must effectively shield our customers from these challenges. As a Senior Software Engineer on the Data Platform team, you will contribute to building the Data Intelligence Platform for Databricks, which aims to automate decision-making across the organization. You will collaborate closely with Databricks Product Teams, Data Science, Applied AI, and more. Your role will involve developing a range of tools for logging, orchestration, data transformation, metric storage, governance platforms, and data consumption layers. You will leverage the latest and most advanced Databricks products and other tools in the data ecosystem. Our team also serves as a substantial in-house customer, using Databricks to inform the future direction of our product. Your Impact: Design and manage the Databricks metrics store, enabling all business units and engineering teams to consolidate and share detailed metrics on a common platform with high quality, introspection capabilities, and query performance. Lead the development of the cross-company Data Intelligence Platform, which encapsulates all business and product metrics essential for running Databricks. You will play a pivotal role in balancing data protection with ease of shareability as we transition to a public company. Create tools and infrastructure to efficiently manage and operate Databricks on Databricks at scale across multiple clouds, geographies, and deployment types. This includes CI/CD processes, testing frameworks for pipelines and data quality, and infrastructure-as-code tooling. Establish the foundational ETL framework utilized by all pipelines developed within the company. Collaborate with our engineering teams to provide...

Collaborate to Innovate in Streaming. Join Roku's Vision to Revolutionize TelevisionAs the leading TV streaming platform in the U.S., Canada, and Mexico, Roku is on a mission to power every television globally. We have transformed how people enjoy their favorite shows and movies by connecting consumers to the content they love, assisting publishers in reaching vast audiences, and offering advertisers unique tools to engage effectively.At Roku, your contributions will be recognized from day one. We are a rapidly expanding public company where every team member plays a pivotal role. This is your chance to impact millions of TV streamers worldwide while gaining valuable experience across diverse fields. About Our Team The Ad Data Activation organization is at the forefront of building a reliable, privacy-conscious, and scalable data foundation vital to Roku’s advertising growth. We develop identity systems, device graph pipelines, audience platforms, and insights tools that empower precise targeting, measurement, and reporting across Roku Ads. We are seeking a Senior Machine Learning Engineer to enhance our systems' intelligence. You will operate at the intersection of large-scale data platforms, applied machine learning, and generative AI, developing functionalities that make Roku's advertising data actionable for both internal teams and advertisers. This role involves creating core generative AI platform features for Roku Advertising, alongside applying traditional ML techniques.

Harness is a pioneering AI Software Delivery Platform, founded by the esteemed technologist and entrepreneur Jyoti Bansal, known for founding AppDynamics, which was acquired by Cisco for $3.7 billion. With approximately $570 million raised in funding, Harness is currently valued at $5.5 billion and is supported by prominent investors such as Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, and Citi Ventures. As artificial intelligence accelerates the process of code creation, the primary challenges have now shifted to subsequent phases including testing, deployments, application security, reliability, compliance, and cost optimization. Harness integrates AI and automation into this "outer loop," empowering teams to deliver software with enhanced speed while ensuring security and governance throughout the software delivery lifecycle.The Harness Platform, propelled by Harness AI and the Software Delivery Knowledge Graph, leverages deep contextual insights and intelligent automation across the software delivery lifecycle, incorporating governance and policy-driven controls seamlessly throughout the platform.In the last year, Harness has facilitated over 185 million deployments, 82 million builds, 18 trillion flag evaluations, 8 million security scans, and 9.1 billion optimized tests, managing $2.8 billion in cloud expenditure. This has enabled esteemed clients such as United Airlines, Morningstar, and Choice Hotels to accelerate their release cycles by up to 75%, lower cloud costs by up to 60%, and achieve a tenfold increase in DevOps efficiency.With a diverse global team across 14 offices in 25 countries, Harness is at the forefront of revolutionizing AI software delivery, and we are on the lookout for exceptional talent to help us advance even more rapidly.Position SummaryThe Unified Data Platform (UDP) represents a robust data infrastructure solution aimed at providing a common storage, ingestion, processing, and query layer for all product modules within the Harness ecosystem. This platform supports real-time and batch data processing, unified querying across diverse data sources, and offers a semantic layer for consistent data modeling across modules. It will also underpin several core Harness AI initiatives, including the Knowledge Graph and AI-powered dashboarding.About the RoleEngage in the design, architecture, and development of this platform alongside principal engineers and architects, tackling complex challenges such as declarative ingestion and processing frameworks or DSL-based query expressions, all while ensuring sub-second read latency, sub-minute freshness SLA with integrated security and compliance.Mentor both senior and junior engineers through peer reviews (code/design) and intricate debugging processes.Draft high-level and low-level design documents.

We are seeking a highly skilled and dedicated System Engineer, specializing in Unix/Linux environments. You will be responsible for the administration and engineering of Unix/Linux systems, including but not limited to RHEL versions 5 through 8, and HPUX. Your expertise will also extend to server hardware platforms such as HP ProLiant Blades and Dell Servers, ensuring optimal server operations and maintenance. The ideal candidate will possess strong knowledge in RAID configurations, ILO firmware, and server technologies. You will have the ability to design infrastructure solutions and demonstrate proficiency in Linux system architecture. Our team values experience in OS patching, upgrades, and package management for installing third-party software on RHEL and other OS servers.Familiarity with virtualization technologies such as VMware, Hyper-V, and KVM is essential. You will monitor server performance using tools like vmstat, prstat, and top. A solid understanding of networking protocols (TCP/IP, NFS, SSH, SCP, FTP, SUDO) and directory services (IDM, LDAP, AD, DNS, DHCP, NIS, NTP) is required to troubleshoot and resolve issues effectively.We encourage a collaborative approach, where you will work alongside the Command Center team to meet deadlines and ensure client satisfaction. Strong documentation skills are necessary for preparing SOPs and project delivery solutions. You should also be adept in scripting languages such as Shell, Perl, or Python for automating tasks and data collection.Experience with Ansible automation, Docker management, and cloud platforms like AWS and Azure will be advantageous. If you are passionate about technology and eager to learn, we want to hear from you!

P-1348 Join Databricks, where our mission is to empower data teams to tackle the world's most challenging problems, from detecting security threats to advancing cancer drug development. We build and maintain the premier data and AI infrastructure platform, enabling our customers to focus on their critical missions. Our engineering teams are dedicated to creating innovative technical products that address significant needs while pushing the limits of data and AI technology. We operate with the resilience, security, and scalability necessary to ensure our customers succeed on our platform. Our platform operates at an unparalleled scale, comprising millions of virtual machines and generating terabytes of logs, processing exabytes of data daily. We encounter various cloud hardware, network, and operating system faults, and our software must adeptly protect our customers from these challenges. As a Staff Software Engineer on the Data Platform team, you will contribute to the development of the Data Intelligence Platform at Databricks, automating decision-making processes across the organization. Collaborating with Product Teams, Data Science, Applied AI, and more, you will create tools for logging, orchestration, data transformation, metric storage, governance platforms, and data consumption layers. Leveraging cutting-edge Databricks products and tools within the data ecosystem, your team will serve as a significant in-house customer, providing insights that shape our product's future. Your Impact: Design and manage the Databricks metrics store, facilitating shared access to detailed metrics across business units and engineering teams with high quality and performance. Develop the cross-company Data Intelligence Platform, encompassing all business and product metrics necessary for running Databricks, balancing data protection with ease of sharing as we transition to a public entity. Create tools and infrastructure for efficiently managing Databricks operations at scale across multiple clouds and geographies, including CI/CD processes, testing frameworks for pipelines and data quality, and infrastructure-as-code tools. Establish the foundational ETL framework utilized by all company-developed pipelines. Collaborate with engineering teams to enhance...

Join our dynamic team at Flywire as a Senior Back End Software Engineer II focused on our Payments Platform. In this crucial role, you will leverage your technical expertise to design, develop, and maintain robust back-end systems that enhance our payment solutions. Collaborate with cross-functional teams to ensure seamless integration, scalability, and performance of our applications. You will be instrumental in driving innovation and improving user experiences within our payment ecosystem.

Experience Required:Proficiency in C programming languageHands-on experience with non-Windows operating systems (e.g., Linux, QNX, VxWorks, ECOS)Familiarity with at least two firmware development environmentsSkilled in debugging complex firmwareExperience in developing test software for firmware debuggingKnowledge of assembly programming languageFamiliarity with C++ programming languageExperience using testing equipment (e.g., oscilloscope, logic analyzer)Understanding of design verification and validation methodologiesProficient in Microsoft Office suite (Word, Excel, Outlook)Knowledge of configuration management practicesAbility to effectively communicate technical concepts to diverse audiencesCapable of working independently and collaboratively in a team settingDemonstrated initiative for continuous improvementGood command of English (technical proficiency)Preferred (Additional Skills)Experience in hardware, firmware, software, and testware developmentFamiliarity with networking protocols (e.g., TCP/IP, UDP, Some/IP DoIP)Some project management experienceAbility to lead projects and implement project lead responsibilitiesFluency in EnglishKnowledge of real-time operating systemsExperience in additional programming languages (e.g., C++, C#, VB.NET)Familiarity with Automotive SPICE standards

Nexthink is seeking a dynamic and forward-thinking Endpoint DevOps Engineer to join our dedicated Endpoint DevOps team within the Data Platform Engineering group. This team is responsible for developing an internal platform that equips our Endpoint developers with essential tools and services for their daily tasks. Our mission is to empower the Endpoint Engineering organization to innovate and enhance the Nexthink product effectively.Become a part of a close-knit group of diverse and skilled engineers who take full ownership of their domains from the initial requirement gathering and design phases through implementation, validation, and deployment. You will collaborate closely with Endpoint Engineering, Security, and Architecture teams to identify developer needs, craft and implement solutions, and advocate for their adoption and usage. Together, we are building a world-class internal developer platform utilizing modern technologies and best practices.As an Endpoint DevOps Engineer, you will:Equip developers with the necessary tools for daily product development, integrate with cloud platforms, and assist in managing their build systems and CI pipelines.Set up and maintain development tools, such as Jenkins, Artifactory, and GitHub.Create internal self-service tools and platforms utilized by Nexthink developers in their daily operations.Drive technical initiatives for various projects from conception to production, including proposal, discussion, and execution.Engage with Nexthink developers to foster relationships, identify growth areas, and promote the adoption of the team’s platforms.Document the solutions developed by the team and organize workshops to facilitate knowledge sharing with development teams. 

This position is for one of Weekday's esteemed clientsSalary Range: ₹1,200,000 - ₹2,200,000 (INR 12 - 22 LPA)Minimum Experience Required: 5 yearsLocation: BengaluruJob Type: Full-timeWe are on the lookout for a talented Software Development Engineer (SDE-2) who will be responsible for designing, developing, and scaling robust backend systems. In this role, you will take complete ownership of features from inception to deployment, contribute to system architecture, and lead a small team in delivering high-performance, scalable, and reliable applications.

Job Summary: Join our dynamic team as a Senior Software Development Engineer in Test I, where you will be instrumental in delivering exceptional user experiences for one of the world’s leading entertainment platforms. Your expertise will drive the development of robust automation frameworks and comprehensive test coverage, ensuring consistent and reliable releases. Collaborating closely with cross-functional teams, you will scale quality assurance practices that impact over 300 million users across various devices.About the Team: Our Quality Engineering (QE) team is at the forefront of innovation, crafting advanced testing solutions that enhance our development lifecycle while upholding the highest quality standards. We operate across multiple applications, services, and platforms, creating scalable automation frameworks, simulators, and data engines. By partnering closely with engineering, DevOps, and QA, we aim to shift our quality practices earlier in the development process, ensuring seamless user experiences at an extraordinary scale.

We are looking for a talented and highly skilled Senior Platform Architect to spearhead the design and implementation of our robust Azure-based SaaS platform. This platform comprises Java-based microservices, a ReactJS frontend, machine learning pipelines, and retrieval-augmented generation (RAG) components.In this pivotal role, you will collaborate closely with Java Tech Leads, Senior DevOps Engineers, Senior ML Engineers, Security teams, and business stakeholders to establish a secure, scalable, and efficient cloud-native architecture. Ensuring security is paramount in this position.Key Responsibilities:1. Platform Architecture & DesignDefine comprehensive architecture for the Azure-based SaaS platform.Design a secure, scalable microservices architecture (preferably using Java/Spring Boot).Establish cloud-native architecture patterns (12-factor app, event-driven, API-first).Create a high-availability, multi-region deployment strategy.Set platform standards for:ObservabilityLoggingMonitoringAPI gatewayService mesh (if required)2. Security Architecture (Critical Area)Design and implement Zero Trust Architecture principles.Establish secure authentication & authorization mechanisms (OAuth2, OIDC, Azure AD, RBAC, ABAC).Lead the identity and access management strategy.Ensure secure API design and protection (rate limiting, throttling, WAF, API management).Define encryption standards (in transit & at rest).Implement a secrets management strategy (Azure Key Vault).Conduct threat modeling and security architecture reviews.Ensure compliance with industry standards (ISO 27001, SOC2, GDPR, etc.).Define DevSecOps practices and establish a secure SDLC.Secure ML and RAG pipelines (data protection, prompt injection mitigation, model access control).3. Azure Cloud ArchitectureDesign and oversee:Azure Kubernetes Service (AKS)Azure App ServicesAzure API ManagementAzure Storage & Databases (SQL/Cosmos/Blob)Event Hub / Service BusAzure AI services (if applicable)Define landing zones and governance model.Implement cost optimization strategies (FinOps awareness).Design multi-tenant SaaS architecture.4. ML & RAG Platform EnablementArchitect infrastructure for:ML model training and deploymentRAG pipelines (vector databases, embeddings, LLM integration)Define data isolation and model security controls.Ensure performance, scalability, and latency optimization.Establish monitoring for ML inference & model drift.5. DevOps & Platform EngineeringWork collaboratively with DevOps on:CI/CD pipeline architecture.Infrastructure as Code (IaC) practices.

Harness is an innovative AI Software Delivery Platform company founded by the visionary technologist and entrepreneur Jyoti Bansal, who previously established AppDynamics, which was acquired by Cisco for a staggering $3.7 billion. With approximately $570 million in funding, Harness is currently valued at $5.5 billion and supported by prestigious investors such as Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, and Citi Ventures.As the landscape of software development evolves with the acceleration of AI-driven code creation, the focus has shifted to the broader aspects of software delivery, including testing, deployments, application security, reliability, compliance, and cost optimization. Harness leverages AI and automation to streamline these processes, enabling teams to deliver software more swiftly while ensuring security and governance throughout the software delivery lifecycle.In the past year, Harness has facilitated over 185 million deployments, 82 million builds, 18 trillion flag evaluations, 8 million security scans, 9.1 billion optimized tests, 3 trillion protected API calls, and managed $2.8 billion in cloud expenditure. Our solutions have empowered clients such as United Airlines, Morningstar, and Choice Hotels to amplify their release speeds by as much as 75%, cut cloud costs by up to 60%, and achieve a remarkable 10x increase in DevOps efficiency.With a diverse and global team across 14 offices spanning 25 countries, Harness is at the forefront of shaping the future of AI software delivery. We are on the lookout for exceptional talent to join our mission and propel us forward.Position SummaryWe are developing a cohesive data platform that will serve over 20 product modules, facilitating the ingestion, processing, and retrieval of data to empower analytics and systems at scale. This position is integral to the Data Activation & Analytics initiative under the Unified Data Platform framework, concentrating on creating a self-service analytics platform equipped with a semantic modeling layer, a domain-specific language (DSL) query layer, and an analytics materialization layer. The platform will enable product teams to construct custom dashboards independently, as well as provide readily embeddable analytics modules.About the RoleYou will spearhead the design, architecture, and development of this platform alongside senior architects, tackling complex challenges related to DSL-based query expressions, achieving sub-second read latency, multi-tenancy, high concurrency, and more.

This position is not affiliated with 2070 Health. About Contiinex Contiinex builds AI-powered automation for the healthcare and insurance industries. The platform processes unstructured conversations, documents, and workflows, handling complex business operations with minimal manual effort. Specialized AI agents and domain-specific language models help large organizations automate Revenue Cycle Management (RCM) tasks at scale, while meeting compliance standards and focusing on measurable results. Role Overview: System Engineer - RCM & Platform Integrations Contiinex is hiring a System Engineer in Bengaluru to design, develop, and maintain integrations for healthcare Revenue Cycle Management (RCM) systems. This role focuses on building connections for Eligibility, Prior Authorization, Claims, Billing, Payments, and Accounts Receivable workflows. The position also covers integrations with third-party platforms, partner systems, and internal applications. Strong Python development skills, experience with Docker, and the ability to deploy and manage services on AWS, Azure, and GCP are required. What You Will Do Design, build, and support RCM system integrations, including: Eligibility & Benefits Verification (EBV) Prior Authorization Claims Submission & Adjudication Billing, Payments, Accounts Receivable, and Denials Develop and manage integrations outside of RCM as needed Create and maintain backend integration services using Python Design and implement RESTful APIs, webhooks, and batch interfaces Connect internal systems with external platforms, clearinghouses, payer systems, and partner applications Design and optimize SQL database schemas and queries for integration workloads Implement secure data exchange, including authentication, authorization, and access control Containerize services with Docker and manage deployments Deploy, configure, and manage applications on AWS and Azure Support microservices-based and event-driven architectures Monitor, troubleshoot, and improve integration flows and system performance Work with cross-functional teams to translate business workflows into scalable system solutions Maintain technical documentation and follow engineering best practices What We’re Looking For Bachelor’s degree in Computer Science, Engineering, or related field (BE/BTech/MCA or equivalent) Strong hands-on Python coding experience (required) Track record with RCM system integrations (Eligibility, Prior Authorization, Claims, Billing, Accounts Receivable) Ability to design and implement integrations across various domains and systems Experience with containerization tools, especially Docker Familiarity with AWS, Azure, and GCP cloud services Location: Bengaluru, Karnataka, India

Role overview SanDisk seeks a Senior ASIC Development Engineer to join the team in Bengaluru. The position centers on designing and developing advanced ASIC products, with a strong emphasis on technical quality and cross-functional teamwork. Collaboration with colleagues from various disciplines is a key part of delivering reliable solutions. What you will do Take ASIC products from initial concept through to final delivery Work closely with engineers and stakeholders from multiple functions Support innovation and address technical challenges throughout the development process Requirements Solid experience in semiconductor design and verification Background in ASIC architectures and development workflows Interest in technology and a drive for continuous improvement This is a senior engineering role located in Bengaluru.

Join SanDisk as a Staff Engineer in our Product Development Engineering team, where you will play a vital role in designing and developing innovative storage solutions. This is an exciting opportunity for an entry-level engineer to gain hands-on experience in a fast-paced environment, working with cutting-edge technology and contributing to the future of data storage.