Cloud Engineer Jobs

Senior AI Engineer Job RequirementsExperience: 5 - 8 yearsNo. of Positions: 4Budget: 1,25,000/- Per monthPrimary SkillsAI/MLsuch as AWS/Azure/GCP Solutions Architect TO GAF Certified Kubernetes Administrator with exposure to Lean Six SigmaJob DescriptionAbout the roleWe are looking for a Senior AI Engineer with strong full-stack engineering and AI solution development expertise to architect, build, and scale enterprise-grade intelligent solutions. This role requires a blend of hands-on technical leadership, solution architecture, and AI implementation experience, with the ability to translate business requirements into secure, scalable, and production-ready applications.The ideal candidate will bring deep expertise in AI-enabled software engineering, system integration, cloud-native development, and DevOps practices, with a strong focus on accelerated delivery through modern engineering methodologies, automation, and continuous improvement. Experience in deploying AI/ML models into enterprise environments, working across cross-functional teams, and driving innovation while maintaining governance, security, and long-term maintainability will be key to success.What You Bring You have 5+ years of experience in software engineering, enterprise application development, or solution architecture, with hands-on exposure to AI/ML-driven solutions. You bring strong development expertise in technologies such as Python, Java, TypeScript, or Go. You have practical experience integrating AI or machine learning capabilities into enterprise applications or digital platforms. You are comfortable working with cloud platforms such as AWS, Azure, or Google Cloud. You understand APIs, microservices, distributed systems, containerization, and modern integration patterns. You have experience using AI-assisted development tools and engineering productivity accelerators. You bring strong experience with Agile delivery, DevOps practices, CI/CD automation, and engineering lifecycle execution. You understand secure engineering principles, data privacy considerations, and enterprise governance expectations. You are a structured problem solver with strong communication and stakeholder management skills.Good to have skills / qualifications Experience building and scaling machine learning, generative AI, or intelligent automation solutions in production environments. Familiarity with MLOps, LLM integration, prompt engineering, model monitoring, and AI validation practices. Experience working within banking, fintech, payments, or other highly regulated industry environments. An advanced degree in Computer Science, Artificial Intelligence, Engineering, or a related discipline. Relevant certifications in cloud architecture, enterprise solution design, platform engineering, or AI/ML, such as AWS/Azure/GCP Solutions Architect, TOGAF, Certified Kubernetes Administrator, with exposure to Lean Six Sigma considered an advantage. Experience leading engineering transformation, automation initiatives, or enterprise modernization programs. Demonstrated passion for innovation through open-source contributions, experimentation with emerging technologies, or adoption of modern engineering practices.

Key Responsibilities: Cloud EngineerDesign, implement, and manage CI/CD pipelinesAutomate deployments and infrastructure using tools like Terraform/AnsibleMonitor system performance and ensure high availabilityRequirements:Experience with AWS/AzureKnowledge of Docker, Kubernetes, and scriptingStrong problem-solving skillsBrief Summary:Responsible for automating and optimizing cloud infrastructure and deployment processes.

We are looking for a skilled DevOps Engineer with 6 to 12 years of experience to join our team in Bangalore. In this full-time role, you will collaborate with software developers and system operators to streamline processes for the development, deployment, and maintenance of applications.Key Responsibilities:- **Automation of Processes**: Design and implement automation tools to improve development workflows, ensuring consistency and reducing manual effort in deployments.- **Continuous Integration and Deployment (CI/CD)**: Set up CI/CD pipelines that allow for quick and reliable code integration and deployment, enhancing the speed of development cycles.- **Monitoring and Performance Optimization**: Monitor system performance and troubleshoot any issues that arise, ensuring high availability and efficiency of applications in production.- **Collaboration with Development Teams**: Work closely with developers to understand their needs and help design infrastructure that supports smooth software deployment and scaling.- **Security Management**: Implement security measures and monitor compliance protocols to safeguard infrastructure and protect sensitive data.Required Skills and Expectations:The ideal candidate should possess strong expertise in automation tools like Jenkins, Docker, or Kubernetes. Proficiency in scripting languages such as Python or Bash is essential. A solid understanding of cloud platforms (AWS, Azure, or Google Cloud) and infrastructure as code (IaC) tools, like Terraform, is important. Excellent problem-solving skills and the ability to work collaboratively in a team setting are crucial. Candidates should demonstrate strong communication skills and a commitment to continuous learning and improvement in DevOps practices.

Requirements: Background in Engineering, Architecture, Drafting or related field Basic knowledge of Revit, AutoCAD and other related software Can read plans and understand construction/technical concepts Good problem-solving skills and attention to detail Own computer that can run the software Stable internet connection Good English communication Willing to learn and follow instructions properly

Job DescriptionResponsibilities:Sales Strategy: Develop and implement effective sales strategies to achieve targets in the designated area.Team Leadership: Manage, motivate, and support a team of sales representatives to maximize performance.Client Relationships: Build and maintain strong relationships with key clients and stakeholders.Market Analysis: Monitor market trends, competitor activities, and identify opportunities for growth.Travel: Regular travel within the assigned area to meet clients and support the sales team.Requirements:Experience: Minimum of 3-5 years of experience in sales management, preferably in IT product like cloud computing, BulkSMS,Digital Marketing and hardware like Laptop desktop and CCTV products.Leadership Skills: Proven ability to lead and inspire a sales team.Communication Skills: Excellent verbal and written communication skills.Analytical Skills: Strong analytical skills to assess market conditions and sales performance.Education: Any Degree

Job Title: Full Stack Software Engineer (Java, Angular, Cloud) Experience: 6 to 10 YearsLocation: Pune - HybridCompensation : 25LPANp::immediate-30 daysResponsibilities:Backend Development

Laxant Limited are looking for a proactive Azure Developer who enjoys working in a cloud-firstenvironment and takes ownership of solutions from design to delivery. In this role you willhelp design and build scalable services on Azure, working closely with architects, productowners, and Agile teams.You are someone who communicates clearly, challenges ideas when needed, and activelycontributes to improving solutions. We value developers who speak up, think ahead, andtake responsibility for the quality of what they build.Responsibilities Design, develop, and maintain cloud solutions on Azure Build backend services and integrations using .NET Work closely with architects and teams to translate functional requirements intotechnical solutions Contribute to solution design and challenge approaches when better options exist Ensure solutions are secure, scalable, and maintainable Participate actively in Agile ceremonies such as refinement, planning, andretrospectives Support troubleshooting and resolving production issues when needed Contribute to improving development standards, automation, and best practices Document solutions in a way that is understandable for both technical and nontechnicalstakeholdersWhat we are looking for Strong experience developing applications using .NET / C# Experience building solutions on Microsoft Azure Experience with APIs, integrations, and cloud services Understanding of cloud architecture principles and scalable design Experience working in Agile environments Comfortable collaborating with architects, product owners, and developers acrossteams Good communication skills and willingness to speak up and challengeconstructively Proactive mindset and ownership of work.

We are seeking a skilled Full Stack Developer to join our team in Kolkata. The ideal candidate should have minimum 2 years of experience and a strong coding skill in developing independently. This is a full-time, office-based position.Key Responsibilities:- **Full Stack Development**: Build, test, and maintain mobile and web applications using various technologies. You will be responsible for both the front-end and back-end components, ensuring smooth integration and functionality.- **Database Management**: Design and manage databases. You will work with data modeling and database optimization to enhance performance and ensure data security.- **Collaboration**: Work closely with designers and other developers. Your role will involve engaging in team meetings to contribute ideas and solutions, fostering a collaborative environment.- **Bug Fixing and Maintenance**: Identify and resolve issues in existing applications. You will actively monitor system performance and make improvements when necessary.Required Skills and Expectations:The ideal candidate should have proficiency in languages such as JavaScript, NextJS, React / React Native and CSS for front-end development, along with experience in server-side languages like Node.js, NestJs (Must to know), Golang (Optional) and Python (Must to know). Familiarity with database management systems like Postgresql or MongoDB is essential. Strong problem-solving skills and the ability to communicate effectively are essential, as you will be working in a team-oriented environment. A proactive attitude towards learning new technologies and methodologies is expected.Nice to have -1) Ability to do UX design using Figma.2) Devops knowledge to deploy in cloud (like AWS, GCP etc) using Terraform, Helm3) CI/CD knowledge like Github actions, Jenkins etc4) Experience in Blockchain related technology.

Job Title: QA Engineer (Automation / Database Testing)Work Mode:Remote: Permanent & 9-Month Contract positions availableHybrid: 3 days Work From OfficeJob Summary:We are looking for a skilled QA Engineer with strong expertise in automation and database testing. The ideal candidate should have hands-on experience in writing complex SQL queries, working with automation frameworks, and exposure to cloud platforms.Key Responsibilities:Perform database testing with strong SQL knowledgeWrite and execute complex SQL queries for data validationDevelop and maintain automation test scriptsWork on test automation using modern tools and frameworksCollaborate with cross-functional teams to ensure product qualityValidate applications hosted on cloud platformsMandatory Skills:Strong experience in SQL (must-have)Automation testing experience (must-have)Proficiency in Python or JavaHands-on experience with Playwright or SeleniumExperience in database testingExposure to any cloud platform (AWS, Azure, GCP, etc.)Nice to Have:Experience in end-to-end test automation frameworksKnowledge of CI/CD pipelines

We are seeking a talented AI/ML Engineer to design, develop, and deploy machine learning models that solve real-world business problems.Key ResponsibilitiesDevelop, train, and optimize machine learning and deep learning models.Design and implement AI solutions for automation, prediction, and data analysis.Work with large datasets to clean, preprocess, and engineer features.Deploy models into production environments and monitor performance.Build scalable ML pipelines and integrate models with applications.Conduct experiments, model evaluations, and performance tuning.Collaborate with cross-functional teams including data engineers and product managers.Stay updated with the latest research and advancements in AI/ML.Note: Only Pune-based candidates can eligible to apply.

AIML Engineer Job DescriptionExp: 4+ yrsNP : Immediate / 15 daysLocation : Bhubaneswar/ Bangalore/ ChennaiPosition OverviewWe are seeking a highly skilled Artificial Intelligence & Machine Learning Engineer to design, develop, and deploy intelligent systems that solve complex business problems. The role involves applying advanced algorithms, data science techniques, and deep learning frameworks to build scalable AI solutions.Key ResponsibilitiesModel Development: Design, train, and optimize ML/DL models for predictive analytics, NLP, computer vision, and recommendation systems.Data Engineering: Collect, preprocess, and analyze large datasets to ensure quality and usability.Deployment & Integration: Implement AI models into production environments using cloud platforms (AWS, Azure, GCP).Research & Innovation: Stay updated with emerging AI/ML technologies and apply them to business challenges.Collaboration: Work closely with product managers, data scientists, and software engineers to deliver end-to-end AI solutions.Performance Monitoring: Continuously evaluate and improve deployed models for accuracy, scalability, and efficiency.Required Skills & QualificationsStrong programming skills in Python, R, Java, or C++.Expertise in ML/DL frameworks: TensorFlow, PyTorch, Keras, Scikit-learn.Solid understanding of statistics, probability, and linear algebra.Experience with cloud services: AWS SageMaker, Azure ML, Google AI Platform.Knowledge of data handling tools: SQL, Spark, Hadoop.Familiarity with NLP, computer vision, reinforcement learning.Strong problem-solving, communication, and teamwork skills.Preferred QualificationsExperience with MLOps (CI/CD pipelines for ML).Hands-on with big data technologies.Publications or contributions to AI research.Infested candidate can share CV to Rekha.C@eagledrift.com

Job Title: AI Computer Science Engineer (Prompt Engineering & Client Support)Company: DrytisType: Remote Contract Position (Independent Contractor)Compensation: $4.28 $17.15 per hour (based on experience and performance)About DrytisDrytis is a forward-thinking technology company specializing in AI-powered coding solutions that bridge the gap between clients and technology. Were building a dynamic, on-demand engineering platform that delivers immediate, expert software engineering support to help clients complete the last mile of their application development.We thrive on innovation, agility, and real-world problem-solving. Our team of AI and software specialists works directly with clients to provide hands-on technical guidance and coding support in a cloud-based development environment.Role OverviewAs an AI Computer Science Engineer at Drytis, you will play a key role in providing direct technical support and AI-driven development assistance to clients using our Vibe Coding platform. This role blends deep AI expertise with practical coding, debugging, and client collaboration.You may engage in live pair programming sessions, perform hands-on debugging, or help clients complete software projects in real time. You will be expected to move fluidly between coding, prompt engineering, and direct client interaction, while communicating clearly and confidently with primarily English-speaking clients.ResponsibilitiesEngage with clients in live or asynchronous sessions to provide coding support and project guidance.Apply advanced prompt engineering and AI development techniques (including extensive use of AI coding applications and tools) to enhance client workflows.Debug, refactor, and complete application features across various software stacks.Collaborate via remote, cloud-based development tools and shared workspaces.Maintain detailed documentation of client sessions, tasks, and resolutions.Contribute to process improvement initiatives and platform optimization feedback loops.QualificationsDegree in Computer Science, AI, or a related field (or equivalent practical experience).Strong command of Python, JavaScript, or other common programming languages.Hands-on experience with prompt engineering, LLMs, and AI-assisted coding tools, with extensive daily use of AI coding applications.Proven full-stack application deployment experience (front-end, back-end, and production environments).Exceptional English communication skillsverbal and writtenare absolutely required.Strong problem-solving skills and excellent attention to detail, especially in client-facing and production-critical scenarios.Familiarity with cloud-based IDEs, version control (e.g., Git), and API integrations.Strong UX/UI design and product experience are highly favorable.Reliable internet connectivity with access to multiple providers for redundancy and uninterrupted client sessions.Comfortable working independently in a remote, fast-paced environment.What Makes This Role UniqueFully remote & flexible: Work from anywhere, on your schedule. You design your working hours around your life.You choose your clients: Pick the clients and projects you want to work with, based on your interests and strengths.Empowered by AI: Work with cutting-edge AI technologies, using and pushing the limits of the most advanced AI coding tools to make them do backflips and deliver exceptional outcomes for clients.High-impact, client-facing work: Every session is hands-on, fast-paced, and collaborative; your thinking, speed, and clarity directly help clients ship their products.Built for elite communicators: Success here means you can think fast, communicate incredibly well, and genuinely enjoy helping clients get their applications into production.How to ApplyInterested candidates should submit:An up-to-date resume.A brief note outlining relevant experience with AI coding tools, full-stack deployment, client-facing work, and why this role interests you.We look forward to connecting with you and exploring how you can contribute to Drytis and our clients success.You may also refer your friends

Design, build, and maintain ETL/ELT data pipelines and data lake solutions to support analytics and AI/ML use cases. Ensure data quality, performance, and reliability across enterprise data platforms.Key ResponsibilitiesPipeline DevelopmentData Lake EngineeringPerformance & OptimizationCollaboration & SupportRequired Skills & Experience 4+ years of experience in data engineering or ETL development. Proficiency in SQL and Python (or Scala/Java) for data transformations. Hands-on with ETL tools (Informatica, Talend, dbt, SSIS, Glue, or similar). Exposure to big data technologies (Hadoop, Spark, Hive, Delta Lake). Familiarity with cloud data platforms (AWS Glue/Redshift, Azure Data Factory/Synapse, GCP Dataflow/BigQuery). Understanding of workflow orchestration (Airflow, Oozie, Prefect, or Temporal).Preferred Knowledge Experience with real-time data pipelines using Kafka, Kinesis, or Pub/Sub. Basic understanding of data warehousing and dimensional modeling. Exposure to containerization and CI/CD pipelines for data engineering. Knowledge of data security practices (masking, encryption, RBAC).Education & Certifications Bachelors degree in Computer Science, IT, or related field.Preferred certifications:o AWS Data Analytics Specialty / Azure Data Engineer Associate / GCP Data Engineer.o dbt or Informatica/Talend certifications.

Location: Noida Sector 142 (Work From Office)Experience: 510 YearsOpenings: 2CTC: Up to 1213 LPAJoining: ImmediateRole SummaryWe are hiring Full Stack Developers (.NET Core + Flutter) to work on Shipskart Enterprise, a B2B SaaS platform for the maritime and supply chain industry. The role involves end-to-end development across backend microservices and cross-platform frontends.Key ResponsibilitiesDevelop and maintain backend services using .NET Core & EF CoreBuild cross-platform UI using Flutter (Web/Mobile/Desktop)Design and consume RESTful APIs and microservicesWork with PostgreSQL & MongoDBCollaborate on architecture, code reviews, testing, and deploymentsTroubleshoot and resolve production issuesRequired Skills510 years overall experience; 3+ years in .NET CoreExperience with Enterprise SaaS / Multi-Tenant platformsStrong skills in C#, EF Core, LINQProficiency in Flutter & DartExperience with REST APIs, Microservices, Git, Docker, CI/CDKnowledge of JWT/OAuth and clean architectureNice to HaveKubernetes, Cloud (AWS/Azure/GCP)Message brokers (RabbitMQ/Kafka)DDD / CQRS exposure

About the Role:We are looking for a passionate and enthusiastic Flutter Developer to join our dynamic team. As a fresher, you will work closely with experienced developers to design, build, and maintain mobile applications using Flutter. This role is an excellent opportunity to kickstart your career and grow in a supportive and innovative environment.________________________________________Key Responsibilities: Design and develop user interfaces using Flutter widgets while ensuring responsiveness and performance. Implement state management solutions (Provider, Riverpod) for seamless app functionality. Integrate RESTful APIs and handle backend interactions. Utilize Firebase services such as Authentication, Firestore, and Cloud Functions to build scalable apps. Collaborate with team members to debug, test, and optimize app performance. Work with Git for version control and project collaboration. Ensure apps are compatible across multiple devices and platforms with responsive design techniques. Assist in basic native platform integration for both iOS and Android. Develop problem-solving skills and contribute to team success through collaboration and creativity.________________________________________Qualifications and Skills: Strong knowledge of Dart programming language and Flutter framework. Familiarity with state management techniques (Provider, Riverpod, etc.). Basic understanding of RESTful APIs and backend integration. Knowledge of Firebase services (Authentication, Firestore, Cloud Functions). Proficiency with version control tools like Git. Understanding of debugging and testing tools in Flutter. Awareness of responsive design principles and best practices. Basic knowledge of native platform integration (iOS and Android). Excellent problem-solving skills and ability to work collaboratively in a team.________________________________________Preferred Skills: Familiarity with Agile/Scrum methodologies. Basic understanding of Material Design and Cupertino design guidelines. Hands-on experience with small personal or academic Flutter projects.

Designation: Application Technology Leadlocation: Andheri East, Mumbaimax Hike Payable to Candidate: 30%relocation Allowance: No Allowance Shall Be Provided On Relocation. However, You May Source Candidates from Anywhere in India Provided He Relocates to Mumbai.industry: Candidate Has to Be from Mutual Fund Industry Only.position: Application Technology Leadjob Summary:as the Technology Solution Lead, You Will Be Responsible for Leading and Managing the Technology Solutions Function, Overseeing the Design, Development, and Implementation of Technology Solutions for Vendor Driven Applications and Support the Application Operations. You Will Collaborate with Cross-functional Teams, Including Business Stakeholders, Operations and Development Teams, to Identify and Deliver Innovative Technology Solutions that Drive Business Growth, Enhance Operational Efficiency, and Ensure Regulatory Compliance.key Responsibilities:1. Technology Solution and Architecture Planning and Execution: Develop and Implement a Comprehensive Software Solution Aligned with the Organization Goals and Objectives. Identify Opportunities for Technology-driven Innovation and Provide Recommendations On Emerging Trends and Solutions.2. Vendor Management: Manage Relationships with Technology Vendors, Including Software Providers, System Integrators, and Consulting Firms. Evaluate Vendor Proposals, Negotiate Contracts, and Ensure Timely and Quality Delivery of Vendor Services and Solutions.3. Solution Design and Architecture: Lead the Design and Architecture of Technology Solutions, Ensuring Alignment with Business Requirements, Scalability, Security, and Reliability. Evaluate and Select Appropriate Technologies, Platforms, and Frameworks to Support Solution Development.4. Project and Program Management: Oversee the End-to-end Project and Program Management Lifecycle for Technology Solution Initiatives. Define Project Scope, Timelines, Budgets, and Resource Requirements. Monitor Project Progress, Identify Risks, and Implement Mitigation Strategies.5. Stakeholder Management: Collaborate Closely with Business Stakeholders to Understand Their Requirements, Objectives, and Pain Points. Translate Business Needs Into Technology Solution Requirements and Ensure Effective Communication and Engagement Throughout the Solution Development Lifecycle.6. Solution Development and Implementation: Oversee the Development and Implementation of Technology Solutions, Including Custom-built Applications, Integration Projects, and Third-party Software Deployments. Ensure Adherence to Coding Standards, Quality Assurance, and Testing Best Practices.7. Regulatory Compliance: Ensure Technology Solutions Comply with Relevant Regulatory Requirements, such as Sebi Guidelines and Exchange Guidelines or Any other Industry-specific Regulations in the Broking Sector. Stay Updated On Regulatory Changes and Drive Compliance Initiatives.8. Performance Monitoring and Optimization: Establish Mechanisms to Monitor the Performance and Effectiveness of Technology Solutions. Implement Continuous Improvement Processes to Optimize Solution Performance, Scalability, and User Experience.9. Team Leadership and Management: Build and Lead a High-performing Technology Solutions Team. Provide Guidance, Mentorship, and Support to Team Members, Fostering Their Professional Growth and Creating a Collaborative and Innovative Work Culture.10. Technology Trends and Innovation: Stay Abreast of Emerging Technologies, Trends, and Industry Best Practices. Evaluate Their Applicability to the Broking Firm's Technology Landscape and Make Recommendations On Adopting Innovative Solutions to Drive Business Growth and Operational Excellence.qualifications and Experience: Bachelor's or Master's Degree or Equivalent in Computer Science, Information Technology, or a Related Field. Overall 12+ Years Experience in Technology Solution Design, Architecture, and Delivery, Minimum 5+ Years Within the Amc, Broking or Financial Services Industry. Strong Knowledge of Technology Platforms, Frameworks, and Software Development Methodologies. Familiarity with Fintech Ecosystem Working for Broking Systems, Trading Platforms, and Financial Market Data Feeds Experience in Project and Program Management, with a Track Record of Successfully Delivering Technology Solutions On Time and Within Budget. Excellent Leadership and Team Management Skills, with the Ability to Motivate and Inspire Teams to Achieve High Performance. Strong Analytical and Problem-solving Abilities, with a Focus On Delivering Innovative and Value-driven Technology Solutions. Excellent Communication and Interpersonal Skills, with the Ability to Effectively Engage with Stakeholders At all Levels. Familiarity with Regulatory Standards and Guidelines Relevant to the Broking Industry, such as Sebi Guidelines, Exchange Processes as Applicable for Technology Stack, is Necessary Certifications in Relevant Technologies, Project Management, or Enterprise Architecture Frameworks (e.g., Togaf) Would Be Beneficial.

Job Title: ML Engineer - Workflow Automation & Response Intelligence Role Overview: We-re seeking an experienced ML Engineer to lead initiatives in workflow automation and sentiment-driven response generation using third-party AI agents. The candidate will be responsible for integrating external AI services, orchestrating intelligent workflows, and ensuring contextual, automated replies based on sentiment and intent.Key Responsibilities:Integrate and orchestrate third-party AI agents for sentiment analysis and auto-response generationDesign and maintain workflow automation pipelines that trigger intelligent actions based on AI outputsConfigure and fine-tune agent behavior for tone, escalation logic, and contextual relevanceCollaborate with engineering and product teams to define response logic and escalation pathsMonitor agent performance, ensure reliability, and manage API interactionsDocument workflows, integration logic, and fallback strategies in ConfluenceRequired Skills:4-5 years of experience in AI/ML engineering or intelligent automationStrong proficiency in Python for scripting and API orchestrationExperience integrating third-party AI services (e.g., OpenAI, Google Cloud AI, Azure Cognitive Services)Familiarity with sentiment analysis, intent classification, and response generationWorkflow orchestration using tools like Airflow, Prefect, or custom schedulersREST API integration and error handlingVersion control using Git, and task management via JiraNice to Have:Exposure to LangChain, Rasa, or other conversational AI frameworksExperience with LLM prompt engineering and agent chainingUnderstanding of ethical AI principles and fallback logic for agent responsesExposure to Golang and PostgreSQL database

Key ResponsibilitiesManage CI/CD pipelines, deployments & monitoringDocker/Kubernetes orchestrationCloud infrastructure setup & scaling (AWS)Security, backup, logging, and monitoring best practicesRequired Skills & Experience24 years of DevOps/cloud engineeringHands-on with Docker, Kubernetes, GitHub Actions, JenkinsExperience with AWS/GCP cloud servicesFamiliarity with databases & backend environmentsProblem-solving mindset & automation focus

Job Title: Tech LeadExperience: 6 - 8+ YearsEmployment Type: Full-time / Work from officeRole OverviewWe are looking for an experienced Tech Lead to join our dynamic team and drive the development of scalable AdTech solutions. The ideal candidate will bring strong technical expertise, leadership capabilities, and experience working in Agile environments.You will play a key role in building innovative platforms that automate media transactions and enhance global audience engagement.Key Responsibilities Provide hands-on technical guidance to engineering teams. Enforce best practices in coding standards, architecture, and design principles. Lead Agile POD teams across product, engineering, and QA. Ensure timely delivery of technical deliverables with high quality. Collaborate with solution architects to design scalable and maintainable systems. Convert architecture designs into development plans. Mentor junior engineers and promote continuous learning. Encourage collaboration and innovation within the team. Oversee the entire development lifecycle from planning to deployment. Resolve technical challenges to ensure smooth delivery. Identify development bottlenecks and optimize workflows. Implement automation to improve productivity and performance.Required Skills & Qualifications Bachelors or Masters degree in Computer Science, IT, or related field. 6+ years of experience as a Tech Lead or Senior Developer. Strong experience working in Agile development environments.Technical Skills Programming: Java, Python, Angular, C++ Databases: MongoDB, SQL, NoSQL Cloud Platforms: AWS Experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras Experience deploying AI models in production Knowledge of deep learning, NLP, computer vision, or generative AIPreferred Skills Experience in AdTech / OOH advertising / E-commerce platforms Knowledge of CI/CD pipelines and DevOps practices Familiarity with tools such as Jira and ConfluenceTech Stack Programming: Java, Python, C++ Frontend: Angular, React Database: MongoDB, SQL, NoSQL Cloud: AWS

Required Qualifications : 3+ years of demonstrated ability with Hive, Python, Spark/Scala, SQL, etc. Google Cloud Platform Experience, Big Query, Cloud Storage, Dataproc, Data Flow, Cloud Composer, Cloud SQL, Pub Sub, Terraform, etc. Experience with Hadoop Ecosystem, Kafka, PCF cloud services Familiar with big data and machine learning tools and platforms Experience with BI tools, such as Alteryx, Data Stage, QlikSense, etc. Design data pipelines and data robots, take a vision and bring it to life Master data engineer; mentors others; works closely with IT architects to set strategy and design projects Provide extensive technical, and strategic advice and guidance to key stakeholders around the data transformation efforts Redesign data flows to prevent recurring data issues Strong analytical and problem-solving skills Possess excellent oral and written communication skills, as well as facilitationand presentation skills, and engaging presentation style. Ability to work as a global team member, as well as independently, in achanging environment and prioritize. Ability to establish and maintain coordinated and effective working relationships with application implementation teams, IT project teams, business customers, and end users. Ability to deliver work within deadlines. Experience with agile/lean methodologies Experience working independently and with minimal supervision Experience with Test Driven Development and Software Craftsmanship Experience with GitHub, Accurev, or other version-control systems Experience with Putty Experience with Datastage Strong Communications skills Ability to illustrate and convey ideas and prototypes effectively with team and partners Presence demonstrating confidence, ability to learn quickly, influence, and shape ideas Key Skills Required - Data Engineer- Python / PySpark / Scala- SQL & Hive- Hadoop Ecosystem- Data Pipeline Design & ETL Development- Google Cloud Platform (BigQuery, Dataproc, Dataflow, Cloud Storage)- Kafka / Streaming Data Processing- Terraform (Infrastructure as Code)- DataStage or Similar ETL Tools- Version Control (GitHub or equivalent)- Agile Methodologies- Strong Analytical & Problem-Solving Skills- Stakeholder Collaboration & CommunicationNice to Have:- Cloud Composer, Cloud SQL, Pub/Sub- BI Tools (Alteryx, QlikSense)- Machine Learning Platform Exposure- Test Driven Development (TDD)- Mentoring & Technical Leadership

Design and develop microservices using Go that power our AI cloud platform`s core functionalityBuild and maintain Kubernetes-based infrastructure for container orchestration and workload managementImplement and optimize cloud native solutions for scalability, reliability, and performanceContribute to code reviews, technical documentation, and knowledge sharing within the engineering teamExplore and integrate emerging cloud native technologies like Volcano, Prometheus, and service mesh solutionsDesign distributed systems architecture for high-availability AI workload processingCollaborate with DevOps and SRE teams to ensure production reliability and monitoringLeverage AI-assisted coding tools (GitHub Copilot, ChatGPT, Cursor IDE, etc.) to boost productivity and code qualityYou`ll thrive here if you7+ years of software engineering experience with focus on distributed systems and cloud native technologiesStrong proficiency in Go with deep understanding of concurrency patterns and standard librariesFamiliarity with Python or other backend languages for polyglot development environmentsHands-on Kubernetes experience including development, deployment, and maintenance of production clustersSolid understanding of microservices architecture design patterns and implementation best practicesExperience with containerization technologies (Docker, containerd) and container runtime optimizationProblem-solving mindset with ability to independently design and implement complex system componentsStrong collaboration and communication skills for working in cross-functional teamsExperience using AI-assisted coding tools and willingness to integrate them into development workflowBonus qualificationsFamiliarity with cloud native ecosystem tools such as Prometheus, Grafana, Volcano, or service mesh technologiesOpen source contributions to cloud native projects (Kubernetes, CNCF ecosystem)Experience with large-scale Kubernetes cluster operations and troubleshooting in production environmentsKnowledge of microservices architecture patterns including circuit breakers, service discovery, and distributed tracingKnowledge of Mandarin.

Design and develop microservices using Go that power our AI cloud platform`s core functionalityBuild and maintain Kubernetes-based infrastructure for container orchestration and workload managementImplement and optimize cloud native solutions for scalability, reliability, and performanceContribute to code reviews, technical documentation, and knowledge sharing within the engineering teamExplore and integrate emerging cloud native technologies like Volcano, Prometheus, and service mesh solutionsDesign distributed systems architecture for high-availability AI workload processingCollaborate with DevOps and SRE teams to ensure production reliability and monitoringLeverage AI-assisted coding tools (GitHub Copilot, ChatGPT, Cursor IDE, etc.) to boost productivity and code qualityYou`ll thrive here if you7+ years of software engineering experience with focus on distributed systems and cloud native technologiesStrong proficiency in Go with deep understanding of concurrency patterns and standard librariesFamiliarity with Python or other backend languages for polyglot development environmentsHands-on Kubernetes experience including development, deployment, and maintenance of production clustersSolid understanding of microservices architecture design patterns and implementation best practicesExperience with containerization technologies (Docker, containerd) and container runtime optimizationProblem-solving mindset with ability to independently design and implement complex system componentsStrong collaboration and communication skills for working in cross-functional teamsExperience using AI-assisted coding tools and willingness to integrate them into development workflowBonus qualificationsFamiliarity with cloud native ecosystem tools such as Prometheus, Grafana, Volcano, or service mesh technologiesOpen source contributions to cloud native projects (Kubernetes, CNCF ecosystem)Experience with large-scale Kubernetes cluster operations and troubleshooting in production environmentsKnowledge of microservices architecture patterns including circuit breakers, service discovery, and distributed tracingKnowledge of Mandarin.

Your Role and Responsibilities Work with the infrastructure team and provide expert advice on securing our use of Azure cloud and AWS services, Kubernetes and containers in particular, provide guidance and a level of oversight for Azure and AWS network security and Key Vault Encourage a shift-left approach to security Assist the Security Architect with securing our Data Platform, including our use of Databricks and synapse Collaborate with wider tech and security teams on the implementation and operation of a robust Customer Identity and Access Management (CIAM) service Document security processes and security tool low-level design/configuration; Contribute to the development of security service delivery and operation documentation Assist technology teams with integrating their systems and services with security services and tools Assist Security Operations with investigating cloud incidents Support the security and application security engineers and wider security team with their various responsibilities, including achieving and maintaining ISO 27001 Certification and threat modelling activities Skills & Experience: Professional certification such as AZ-500: Microsoft Azure Security, Microsoft Azure Architect Technologies, AWS Certified Security Specialty, AWS Certified Solutions Architect At least 8 years of experience in Security engineering roles At least 3 years of experience in AWS and Azure Cloud Security Practical experience with and exposure to, crafting and implementing security best practices within a Cloud deployment such as AWS Well Architected Framework and Azure Well-Architected Framework Strong background in security fundamentals in Linux, Networking and Cryptography Very good understanding of IAM Policies and cloud roles & responsibilities. Experience with Cloud Security Posture Management Platform/Cloud Workload Protection Platform such as Azure Security Centre, Checkpoint CloudGuard. Knowledge of MITRE ATT&CK