83 Gke Jobs

Wipro Limited is a leading technology services and consulting company dedicated to addressing clients" most complex digital transformation needs. With a strong focus on building innovative solutions, Wipro leverages its comprehensive portfolio of capabilities in consulting, design, engineering, and operations to help clients achieve their boldest ambitions and develop sustainable businesses for the future. The company, with over 230,000 employees and business partners spanning 65 countries, is committed to supporting customers, colleagues, and communities in navigating an ever-changing world. For more information, please visit www.wipro.com. Position: GCP Cloud Admin Location: PAN India Shift: Rotation Shift/ 24/7 Key Responsibilities: - Demonstrated hands-on experience with Google Cloud and its services - Proficiency in (GKE) Kubernetes and Microservices - Expertise in establishing production standard landing zones including design, deployment, and operations - Collaborate with Application teams on migration projects - Sound knowledge of Cloud networking and security principles - Strong DevOps and Automation skills - Effective troubleshooting abilities - Cloud certifications would be an added advantage Mandatory Skills: - Cloud Azure Admin Join Wipro in reinventing your world. As we strive to build a modern Wipro, we are seeking individuals who are inspired by reinvention - of themselves, their careers, and their skills. We are looking for those who are driven by continuous evolution, both in our business and the industry at large. At Wipro, change is in our DNA, and as the world evolves, so do we. Embrace a culture fueled by purpose and a workplace that empowers you to shape your own reinvention. Realize your ambitions at Wipro. We welcome applications from individuals with disabilities.,

You are hiring a Manager for GCP Migration & Infrastructure based in Bangalore within the Cloud Engineering Consulting Practice department. The ideal candidate should have 9-12 years of experience and will be responsible for leading large-scale cloud migration and infrastructure transformation projects on Google Cloud Platform (GCP), with expertise in GKE, GCVE, VMware to GCVE migrations, and landing zone architecture. This client-facing role involves hands-on delivery, technical leadership, and cross-functional collaboration. Your key responsibilities will include leading VMware to GCVE migration initiatives with minimal disruption, designing secure and scalable GCP landing zones, deploying and managing GKE clusters for containerized apps, and architecting secure VPCs, firewalls, and hybrid connectivity. You will also be responsible for implementing IAM, RBAC, and data protection frameworks, ensuring regulatory compliance, and collaborating with cloud, security, and client teams to align on strategy. As a Manager, you will guide engineering teams through deployment and migration phases, develop detailed technical documentation and runbooks, and provide support for presales activities including solution design, effort estimation, and proposals. You will also participate in client workshops to gather requirements and pitch solutions. To qualify for this role, you should have 8-10 years of IT experience, with at least 3-5 years focused on GCP cloud migration. Strong experience in GCVE, GKE, VMware migrations, and landing zone design is required, along with a deep understanding of GCP networking, IAM, firewalls, and security best practices. GCP certifications such as Professional Cloud Architect, Security Engineer, or Network Engineer are preferred.,

We are looking for a highly motivated and skilled Senior Fullstack Engineer to become a part of our dynamic engineering team. The ideal candidate should possess a strong command of Python for backend development, expertise in React for creating intuitive user interfaces, and a solid understanding of both SQL and NoSQL databases. In addition, familiarity with leveraging Generative AI tools to enhance productivity, improve code quality, and explore innovative solutions is highly desirable. As a Senior Fullstack Engineer, your primary responsibilities will include designing, developing, and deploying robust and scalable enterprise cloud applications from inception to production. This role offers an excellent opportunity for individuals who excel in fast-paced environments and are enthusiastic about crafting cutting-edge technology while embracing the capabilities of AI-assisted development. Key Responsibilities: - Design, develop, and maintain high-performance, secure, and scalable cloud applications utilizing Python (e.g., Django, Flask, FastAPI) for the backend. - Develop responsive and interactive user interfaces with React.js to ensure a seamless user experience. - Collaborate with product managers, designers, and fellow engineers to comprehend requirements, define technical specifications, and deliver features within designated timelines. - Manage and optimize data storage solutions, working with both SQL (e.g., PostgreSQL, MySQL, Cloud SQL) and NoSQL databases (e.g., MongoDB, Redis, Firestore, Datastore). - Implement and maintain RESTful APIs and microservices. - Architect, deploy, and manage applications and services on Google Cloud Platform (GCP). - Write clean, well-documented, and testable code following best practices. - Actively utilize Generative AI tools for code generation, debugging, refactoring, and exploring new approaches. - Participate in code reviews, offering constructive feedback to team members. - Troubleshoot and resolve production issues to ensure high availability and performance. - Stay abreast of the latest industry trends, technologies, and best practices in fullstack development and Generative AI. - Contribute to enhancing development processes and tools for continuous improvement. Required Skills & Qualifications: - Bachelor's degree in computer science, Engineering, or a related field (or equivalent practical experience). - 3-6 years of professional experience in fullstack cloud application development. - Strong proficiency in Python for backend development (e.g., Django, Flask, FastAPI). - Expertise in React.js and its ecosystem (Redux, Context API, Hooks, etc.). - Solid understanding of HTML5, CSS3, and JavaScript (ES6+). - Proficiency with SQL databases (e.g., PostgreSQL, MySQL, Cloud SQL) and experience in database design, querying, and optimization. - Experience with NoSQL databases (e.g., MongoDB, Redis, Cassandra, Firestore, Datastore) and understanding of their use cases. - Experience with Docker and Kubernetes, particularly GKE. - Demonstrated experience or strong familiarity with Generative AI tools like GitHub Copilot, Google Gemini, ChatGPT, or similar AI code assistants. - Understanding of software development best practices, including testing, continuous integration, and continuous delivery (CI/CD). - Excellent problem-solving, analytical, and communication skills. - Ability to work independently and collaboratively within a team. Bonus Skills: - Familiarity with GCP's AI/ML services (e.g., Vertex AI). Job Types: Full-time, Permanent Benefits: - Health insurance - Provident Fund Application Question(s): - Work from Office Education: - Bachelor's degree (Required) Experience: - Python: 3 years (Required) - React: 3 years (Required) Language: - English (Required) Location: - Hyderabad, Telangana (Required) Work Location: In person,

Work mode- WFO 5 days Experience- 7+ K8s Hands-on experience Linux Troubleshooting Skills Experience on OnPrem Servers and Management Helm Docker Ingress and Ingress Controllers Networking Basics Proficient Communication Must-Have Skills: Hands-on experience with airgap Kubernetes clusters , ideally in regulated industries (finance, healthcare, etc.) . Strong expertise in CI/CD pipelines , programmable infrastructure , and automation . Proficiency in Linux troubleshooting, observability (Prometheus, Grafana, ELK), and multi-region disaster recovery . Security & compliance knowledge for regulated industries. Preferred: Experience with GKE, RKE, Rook-Ceph, and certifications like CKA, CKAD . Who You Are A Kubernetes expert who thrives on scalability, automation, and security . Passionate about optimizing infrastructure, CI/CD, and high-availability systems . Comfortable troubleshooting Linux, improving observability , and ensuring disaster recovery readiness . A problem solver who simplifies complexity and drives cloud-native adoption . What Youll Do Architect & automate Kubernetes solutions for airgap and multi-region clusters . Optimize CI/CD pipelines & cloud-native deployments . Work with open-source projects , selecting the right tools for the job. Educate & guide teams on modern cloud-native infrastructure best practices. Solve real-world scaling, security, and infrastructure automation challenges . Why Join Us Work on high-impact Kubernetes projects in regulated industries . Solve real-world automation & infrastructure challenges with cutting-edge tools . Grow in a team that values learning, open-source contributions, and innovation . Location: Hyderabad (Onsite) Show more Show less

Job Title: SRE Engineer with GCP cloud Location: Hyderabad & Ahmedabad Work Model: Hybrid 3 Days from office Exp in year: 7years+ Job Overview Dynamic, motivated individuals deliver exceptional solutions for the production resiliency of the systems. The role incorporates aspects of software engineering and operations, DevOps skills to come up with efficient ways of managing and operating applications. The role will require a high level of responsibility and accountability to deliver technical solutions. Summary: As a Senior SRE, you will ensure platform reliability, incident management, and performance optimization. You&aposll define SLIs/SLOs, contribute to robust observability practices, and drive proactive reliability engineering across services. Roles and Responsibilities: Define and measure Service Level Indicators (SLIs), Service Level Objectives (SLOs), and manage error budgets across services. Lead incident management for critical production issues drive root cause analysis (RCA) and post-mortems. Create and maintain run books and standard operating procedures for high[1]availability services. Design and implement observability frameworks using ELK, Prometheus, and Grafana; drive telemetry adoption. Coordinate cross-functional war-room sessions during major incidents and maintain response logs. Develop and improve automated system recovery, alert suppression, and escalation logic. Use GCP tools like GKE, Cloud Monitoring, and Cloud Armor to improve performance and security posture. Collaborate with DevOps and Infrastructure teams to build highly available and scalable systems. Analyse performance metrics and conduct regular reliability reviews with engineering leads. Participate in capacity planning, failover testing, and resilience architecture reviews. Mandatory: Cloud: GCP (GKE, Load Balancing, VPN, IAM) Observability: Prometheus, Grafana, ELK, Data dog Containers & Orchestration: Kubernetes, Docker Incident Management: On-call, RCA, SLIs/SLOs IaC: Terraform, Helm Incident Tools: PagerDuty, OpsGenie Nice to Have: GCP Monitoring, Sky walking Service Mesh, API Gateway GCP Spanner, MongoDB (basic) Show more Show less

Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow - people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. This position provides leadership in full systems life cycle management to ensure delivery is on time and within budget. You will be responsible for directing component and data architecture design, technology planning, and testing for Applications Development (AD) initiatives to meet business requirements and ensure compliance. Additionally, you will develop and lead AD project activities and integrations, guide teams to ensure effective communication and achievement of objectives, research and support the integration of emerging technologies, and provide knowledge and support for applications development, integration, and maintenance. Leading junior team members with project-related activities and tasks, guiding and influencing department and project teams, and facilitating collaboration with stakeholders are also key aspects of this role. Primary Skills: - C#, .Net - Web-Development (Angular) - Database(SQL/PLSQL) - ReST API (Micro/Webservices) - Cloud apps experience & DevOps(CI/CD) Secondary skills: - Google Cloud Platform - GKE, Apigee, BigQuery, Spanner etc. - Agile experience - PowerBI - Experience in Java apps Responsibilities: - Leads systems analysis and design. - Leads design and development of applications. - Develops and ensures creation of application documents. - Defines and produces integration builds. - Monitors emerging technology trends. - Leads maintenance and support. Qualifications: - Bachelors Degree or International equivalent - Bachelor's Degree or International equivalent in Computer Science, Information Systems, Mathematics, Statistics, or related field - Preferred Employee Type: Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.,

As a Solution Architect & Technical Lead at RebusCode, you will play a crucial role in driving the design and architecture of our Big Data Analytics solutions within the Market Research industry. Your responsibilities will include providing technical leadership, ensuring governance, documenting solutions, and sharing knowledge effectively. Moreover, you will be actively involved in project management and ensuring timely delivery of projects. To excel in this role, you should have a minimum of 5 years of experience in software development, out of which at least 2 years should be in architecture or technical leadership positions. A proven track record of delivering enterprise-grade, cloud-native SaaS applications on Azure and/or GCP is essential for this role. Your technical skills should encompass a wide range of areas including Cloud & Infrastructure (Azure App Services, Functions, Kubernetes; GKE, Cloud Functions; Service Bus, Pub/Sub; Blob Storage, Cloud Storage; Key Vault, Secret Manager; CDN), Development Stack (C#/.NET 6/7/8, ASP.NET Core Web API, Docker, container orchestration), Data & Integration (SQL Server, Oracle, Cosmos DB, Spanner, BigQuery, ETL patterns, message-based integration), CI/CD & IaC (Azure DevOps, Cloud Build, GitHub Actions; ARM/Bicep, Terraform; container registries, automated testing), Security & Compliance (TLS/SSL certificate management, API gateway policies, encryption standards), and Monitoring & Performance (Azure Application Insights, Log Analytics, Stackdriver, performance profiling, load testing tools). Nice-to-have qualifications include certifications such as Azure Solutions Architect Expert, Google Professional Cloud Architect, PMP or PMI-ACP. Familiarity with front-end frameworks like Angular and React, as well as API client SDK generation, would be an added advantage. Prior experience in building low-code/no-code integration platforms or automation engines is also beneficial. Exposure to alternative clouds like AWS or on-prem virtualization platforms like VMware and OpenShift will be a plus. Join us at RebusCode, where you will have the opportunity to work on cutting-edge Big Data Analytics solutions and contribute to the growth and success of our market research offerings.,

Kubernetes Work with application owners and developers on Container deployments including deploying and maintaining Agent Pools (Azure/ Rancher / GKE) HCL will follow GSK engineered and documented processes to deploy AKS dedicated clusters, GKE clusters, Rancher Clusters and Projects Upgradation of the clusters and patching of worker Nodes Track CPU, Memory, Network and I/O Security and Networking policies needed as per AKS and Rancher Cluster. Configure alerts and respond accordingly leveraging cloud native tools Manually scale up/down agent nodes Manage access for Azure/Rancher cluster agent nodes Maintain access restrictions using cloud native features Defining or implementing the access configuration Push / Pull Container Images for deployment Provision of Storage services as per application requirements. Installation and configuration of full stack, including hardware (server, storage, network), OS and Kubernetes platform layers.

As a GCP Architect with AI Expertise, you will play a crucial role in leading the design, implementation, and optimization of cloud and AI-driven solutions on Google Cloud Platform (GCP). Your deep expertise in cloud infrastructure, AI/ML, networking, and security will be essential for architecting scalable, secure, and highly available cloud solutions while leveraging AI to drive automation and intelligence across enterprise environments. Your responsibilities will include designing and implementing scalable, secure, and cost-effective architectures on GCP, developing AI/ML-driven solutions using tools such as Vertex AI, BigQuery ML, TensorFlow, and AutoML, and architecting end-to-end data pipelines to support AI model training, deployment, and monitoring. You will also be responsible for building high-availability, backup, and disaster recovery solutions in GCP. In terms of infrastructure and security, you will implement identity management, IAM policies, security protocols, and network segmentation, design and automate provisioning of networks, firewalls, ACLs, and access control policies, and ensure compliance with security and governance frameworks for cloud-based AI workloads. Additionally, you will manage multi-VPC networking, hybrid cloud connectivity, and firewall configurations. Your role will also involve leading large-scale application and network migrations to GCP, developing Terraform-based infrastructure automation, and managing Infrastructure as Code (IaC). You will implement CI/CD pipelines for AI/ML workloads using tools like GitHub, Jenkins, and Ansible, and design DevOps solutions with cloud-native tools and containerized workloads on GKE. As a technical leader and advisor, you will provide strategic guidance on cloud adoption, AI/ML use cases, and infrastructure modernization, lead requirements gathering, solution design, and implementation for GCP cloud-based AI solutions, and support pre-sales activities, including POCs, RFP responses, and SOW creation. You will mentor and provide technical oversight to engineering teams and serve as a trusted cloud advisor for customers, helping them solve complex cloud infrastructure and AI challenges. Furthermore, you will be responsible for optimizing cloud resource usage, cost management, and AI model performance, conducting cloud usage analytics, security audits, and AI model monitoring, and developing strategies to improve network reliability, redundancy, and high availability. If you are passionate about cloud transformation, AI, and solving complex infrastructure challenges, this role presents a perfect opportunity for you to make a meaningful impact in the field of cloud and AI technologies.,

As a GCP CloudOps Engineer, you will be responsible for deploying, integrating, and testing solutions using Infrastructure as Code (IaC) and DevSecOps techniques. With over 8 years of experience in infrastructure design and delivery, including 5 years of hands-on experience in Google Cloud technologies, you will play a key role in ensuring continuous, repeatable, secure, and automated deployment processes. Your responsibilities will also include: - Utilizing monitoring tools such as Datadog, New Relic, or Splunk for effective performance analysis and troubleshooting. - Implementing container orchestration services like Docker or Kubernetes, with a preference for GKE. - Collaborating with diverse teams across different time zones and cultures. - Maintaining comprehensive documentation, including principles, standards, practices, and project plans. - Building data warehouses using Databricks and IaC patterns with tools like Terraform, Jenkins, Spinnaker, CircleCI, etc. - Enhancing platform observability and optimizing monitoring and alerting tools for better performance. - Developing CI/CD frameworks to streamline application deployment processes. - Contributing to Cloud strategy discussions and implementing best practices for Cloud solutions. Your role will involve proactive collaboration, automation of long-term solutions, and adherence to incident, problem, and change management best practices. You will also be responsible for debugging applications, enhancing deployment architectures, and measuring cost and performance metrics of cloud services to drive informed decision-making. Preferred qualifications for this role include experience with Databricks, Multicloud environments (GCP, AWS, Azure), GitHub, and GitHub Actions. Strong communication skills, a proactive approach to problem-solving, and a deep understanding of Cloud technologies and tools are essential for success in this position. Key Skills: Splunk, Terraform, Google Cloud Platform, GitHub Workflows, AWS, Datadog, Python, Azure DevOps, Infrastructure as Code (IaC), Data Warehousing (Databricks), New Relic, CircleCI, Container Orchestration (Docker, Kubernetes, GKE), Spinnaker, DevSecOps, Jenkins, etc.,

As a Java Full Stack Developer with 7-10 years of experience, you will be responsible for designing, developing, and maintaining scalable Java-based backend systems. Your role will involve building dynamic and responsive user interfaces using React.js, as well as developing and integrating RESTful APIs and microservices. You will work with distributed systems and event-driven architecture, collaborating closely with cross-functional teams in an Agile environment. Your key responsibilities will include participating in code reviews, troubleshooting, and performance tuning. You will also be expected to integrate applications with cloud services (AWS preferred), work with containerized environments, and use Kubernetes for deployment. Ensuring code quality, scalability, and maintainability will be essential aspects of your work. To excel in this role, you should possess a Bachelor's degree in Computer Science or a related field (preferred) and have at least 8 years of experience in Java application development. Proficiency in Java 11+ is required, including Streams, Lambdas, and functional programming. Strong knowledge of Spring Boot, Spring Framework, and RESTful API development is essential, as well as experience with microservices architecture and monitoring tools. You should have a solid understanding of persistence layers such as JPA, Hibernate, MS-SQL, and PostgreSQL. Hands-on experience with React.js and strong frontend development skills with HTML, CSS3/Tailwind, and responsive design are also necessary. Experience with CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions, or AWS DevOps) and familiarity with cloud platforms like AWS, Azure, or GCP (AWS preferred) are important. Exposure to container orchestration using EKS, AKS, or GKE, knowledge of Domain-Driven Design (DDD) and Backend-for-Frontend (BFF) patterns, and working knowledge of Kafka, MQ, or other event-driven technologies are advantageous. Strong problem-solving, debugging, and optimization skills, proficiency in Agile methodologies, version control (Git), and SDLC best practices are also required. Experience in the hospitality domain is a plus.,

Inviting applications for the role of Lead Consultant - Cloud specialist role We are seeking a highly skilled and experienced Cloud Specialist - Lead Consultant to design, implement, and manage cloud infrastructure and solutions across public cloud platforms such as AWS, Azure, or GCP. The ideal candidate will have deep technical expertise in cloud architecture, automation, security, and best practices, along with the ability to lead client engagements, drive solution delivery, and mentor team members. Responsibilities Monitor cloud environments (Azure & AWS) using tools like CloudWatch, Azure Monitor, Datadog, Dynatrace, or similar. Lead the end-to-end design, implementation, and optimization of cloud infrastructure across AWS, Azure, or GCP platforms. Engage with stakeholders to assess current cloud infrastructure, define cloud adoption strategies, and architect secure, scalable, and cost-effective solutions. Drive infrastructure automation using Terraform, ARM, CloudFormation, or other IaC tools. Design and implement CI/CD pipelines using tools like Jenkins, GitLab CI, GitHub Actions, or Azure DevOps. Lead migration of on-prem workloads to the cloud using lift-and-shift or cloud-native approaches. Enforce cloud governance, compliance, and security controls including IAM, encryption, network security, logging, and monitoring. Collaborate with DevOps, Security, and Application teams to support modern deployment and release practices. Provide technical leadership, mentorship, and guidance to junior cloud engineers and consultants. Troubleshoot complex issues, conduct root cause analysis, and implement preventative solutions. Develop and maintain cloud architecture documents, standards, runbooks, and knowledge base articles. Stay current with emerging cloud technologies, trends, and certifications. Qualifications we seek in you! Minimum Qualifications / Skills Bachelor%27s degree in information technology, Computer Science, or a related field. Hands-on experience with AWS, Azure, or Google Cloud Platform (certification preferred). Strong expertise in Terraform, CloudFormation, or equivalent IaC tools. Experience with containerization and orchestration: Docker, Kubernetes, EKS/AKS/GKE. Proficiency in scripting (Python, Bash, PowerShell) and cloud automation. Deep understanding of cloud security best practices, identity/access management, and compliance (CIS, NIST, etc.). Experience in setting up and managing CI/CD pipelines. Good understanding of networking concepts (VPC, subnets, VPN, load balancing, DNS). Familiarity with tools like Ansible, Packer, Vault, Prometheus/Grafana, CloudWatch, Azure Monitor, or Stackdriver. Strong client-facing, consulting, and communication skills. Preferred Qualifications/ Skills AWS Certified Solutions Architect - Professional Microsoft Certified: Azure Solutions Architect Expert Google Cloud Professional Cloud Architect HashiCorp Certified: Terraform Associate . . . . . .

Join the Agentforce team in AI Cloud at Salesforce and make a real impact with your software designs and code! This position requires technical skills, outstanding analytical and influencing skills, and extraordinary business insight. It is a multi-functional role that requires building alignment and communication with several engineering organisations. We work in a highly collaborative environment, and you will partner with a highly cross functional team comprised of Data Scientists, Software Engineers, Machine learning engineers, UX experts, and product managers to build upon Agentforce, our cutting edge new AI framework. We value execution, clear communication, feedback and making learning fun. Your impact - You will: Architect, design, implement, test and deliver highly scalable AI solutions: Agents, AI Copilots/assistants, Chatbots, AI Planners, RAG solutions. Be accountable for defining and driving software architecture and enterprise capabilities (scalability, fault tolerance, extensibility, maintainability, etc.) Independently design sophisticated software systems for high-end solutions, while working in a consultative fashion with other senior engineers and architects in AI Cloud and across the company Determine overall architectural principles, frameworks, and standards to craft vision and roadmaps Analyze and provide feedback on product strategy and technical feasibility Drive long-term design strategies that span multiple sophisticated projects, deliver technical reports and performance presentations to customers and at industry events Actively communicate with, encourage and motivate all levels of staff. Be a subject matter expert for multiple products, while writing code and working closely with other developers, PM, and UX to ensure features are delivered to meet business and quality requirements Troubleshoot complex production issues and interface with support and customers as needed Drives long-term design strategies that span multiple sophisticated projects, deliver technical reports and performance presentations to customers and at industry events Required Skills: 12+ years of experience in building highly scalable Software-as-a-Service applications/ platform Experience building technical architectures that address complex performance issues Thrive in dynamic environments, working on cutting edge projects that often come with ambiguity. Innovation/startup mindset to be able to adapt Deep knowledge of object oriented programming and experience with at least one object oriented programming language, preferably Java Proven ability to mentor team members to support their understanding and growth of software engineering architecture concepts and aid in their technical development High proficiency in at least one high-level programming language and web framework (NodeJS, Express, Hapi, etc.) Proven understanding of web technologies, such as JavaScript, CSS, HTML5, XML, JavaScript, JSON, and/or Ajax Data model design, database technologies (RDBMS & NoSQL), and languages such as SQL and PL/SQL Experience delivering or partnering with teams that ship AI products at high scale. Experience in automated testing including unit and functional testing using Java, JUnit, JSUnit, Selenium Demonstrated ability to drive long-term design strategies that span multiple complex projects Experience delivering technical reports and presentations to customers and at industry events Demonstrated track record of cultivating strong working relationships and driving collaboration across multiple technical and business teams to resolve critical issues Experience with the full software lifecycle in highly agile and ambiguous environments Excellent interpersonal and communication skills. Preferred Skills: Solid experience in API development, API lifecycle management and/or client SDKs development Experience with machine learning or cloud technology platforms like AWS sagemaker, terraform, spinnaker, EKS, GKE Experience with AI/ML and Data science, including Predictive and Generative AI Experience with data engineering, data pipelines or distributed systems Experience with continuous integration (CI) and continuous deployment (CD), and service ownership Familiarity with Salesforce APIs and technologies Ability to support/resolve production customer escalations with excellent debugging and problem solving skills,

Job Summary Synechron is seeking an experienced Java Developer to lead the design, development, and deployment of scalable cloud-native applications. This role involves leveraging expertise in Java programming, containerization, orchestration, and cloud services to deliver innovative, efficient solutions. The successful candidate will collaborate with cross-functional teams to implement best practices, optimize cloud infrastructure, and drive digital transformation initiatives aligned with business goals. This position offers a unique opportunity to work at the forefront of cloud and Java development, contributing to strategic projects that enhance operational agility and scalability. Software Requirements Required Skills: Extensive experience developing applications using Java (latest versions preferred) Hands-on experience with Google Cloud Platform (GCP) , including GKE (Google Kubernetes Engine), Cloud Run , or App Engine Proficiency with containerization and Docker for building and managing containerized applications Knowledge of orchestration tools such as Kubernetes (GKE) Experience deploying, managing, and optimizing applications in cloud environments Familiarity with CI/CD pipelines and automation tools Preferred Skills: Experience with Terraform or other IaC tools Knowledge of Cloud Pub/Sub , Cloud Functions , Cloud Storage , and BigQuery Experience with other container orchestration platforms or hybrid cloud models Overall Responsibilities Design, develop, and deploy scalable, containerized Java applications on GCP Build, optimize, and manage CI/CD pipelines for continuous integration and deployment Implement containerization solutions using Docker and orchestrate deployments using GKE Develop microservices and APIs adhering to best practices for cloud environments Optimize application performance, scalability, and security within GCP Troubleshoot runtime or deployment issues, ensuring system resilience and availability Collaborate with DevOps, QA, and Security teams to implement automation, monitor, and improve cloud infrastructure Stay updated on industry trends and emerging technologies, sharing insights with the team Maintain comprehensive documentation of system architectures, deployment processes, and best practices Strategic objectives: Enable efficient, secure, and reliable cloud-based applications Increase automation and deployment efficiency Support the organizations cloud migration and modernization efforts Performance outcomes: Seamless deployment and operation of cloud-native applications Reduced time-to-market for new features or updates High system uptime, security standards, and operational efficiency Technical Skills (By Category) Programming Languages (Essential): Java (latest versions, Spring Boot preferred) Scripting knowledge in Shell , and Python (optional but advantageous) Cloud Technologies (Essential): GCP services including GKE, Cloud Run, App Engine, Cloud Storage, and BigQuery Containerization & Orchestration (Essential): Docker and Kubernetes (GKE experience mandatory) DevOps & CI/CD (Preferred): Jenkins, Cloud Build, or similar CI/CD tools Databases & Data Management (Essential): Experience with relational databases like MySQL, Oracle, or SQL Server Familiarity with NoSQL databases and BigQuery (preferred) Frameworks & Libraries (Essential): Spring, Hibernate, Struts (basic familiarity) Development Methodologies (Essential): Agile practices and SCRUM Security & Governance (Preferred): IAM best practices, secrets management, network security in cloud environments Experience Requirements 6+ years in Java application development, deployment, and cloud integration Proven experience in building and managing cloud-native applications on GCP Hands-on experience containerizing applications with Docker and orchestrating with Kubernetes Demonstrated success in deploying CI/CD pipelines and automating workflows Exposure to hybrid or multi-cloud environments (preferred) Prior experience in financial services or enterprise environments is advantageous Alternative pathways: Candidates with extensive cloud infrastructure experience combined with strong Java development skills may be considered if they demonstrate relevant project experience. Day-to-Day Activities Develop, test, and deploy Java applications in GCP environments Build and manage containerized applications using Docker and Kubernetes Design and implement CI/CD pipelines to automate build, test, and deployment processes Troubleshoot and resolve runtime, deployment, and infrastructure issues promptly Collaborate with cross-functional teams to define architecture, security, and operational standards Document deployment procedures, architecture designs, and best practices Monitor system health, resource utilization, and performance metrics Participate in sprint planning, reviews, and continuous improvement discussions Qualifications Bachelors degree in Computer Science, Engineering, or relevant technical discipline Demonstrated expertise in GCP services and container orchestration Proven track record of building scalable, cloud-native applications Strong understanding of microservices architecture and APIs Excellent communication skills and ability to work collaboratively in agile teams Willingness to learn new tools and adapt to evolving technologies Professional Competencies Critical thinking and analytical problem-solving skills Strong communication and stakeholder management abilities Leadership qualities and willingness to mentor junior team members Self-motivated with the ability to work independently Agile mindset and continuous improvement focus Time and priority management skills.

As a seasoned Software Development professional with 5-7 years of experience, you will play a crucial role in researching and designing cutting-edge technology architectures to meet the strategic objectives of the company. Your responsibilities will include designing, developing, and maintaining products while collaborating with Product teams to align with functional and non-functional requirements in line with the business strategy. You will also engage with senior technical leaders to ensure alignment with the overall technology strategy and coordinate with QA for seamless product releases. Your role will involve facilitating technology and methodology decision-making within the team, focusing on standardization, code reviews, developing reusable code bases, implementing best practices, managing source control, and streamlining deployment processes. Additionally, you will be responsible for driving hiring initiatives, creating career plans, providing training, and overseeing OKR reviews for the software engineering team. This will encompass activities such as employee coaching, mentoring, development, and fostering team cohesion. The ideal candidate for this position should possess a strong background in software development, with expertise in Node.Js and proficiency in languages like Typescript, Go, Python, and Java. Experience in building applications based on Microservices Architecture and a solid grasp of object-oriented and functional programming concepts are essential. Proficiency in MySQL and MongoDB, along with a foundation in container orchestration using Kubernetes or GKE, is highly desirable. Familiarity with Nginx, Redis, IOC, CI/CD, and Unit Testing will be advantageous. At AeroQube, you will enjoy a range of benefits, including medical insurance, flexible working hours, skills development opportunities, food and beverage provisions, employee clubs and activities, gifts, a focus on work-life balance, and various financial benefits. Join our team and be part of a dynamic work environment that values your expertise and promotes professional growth and well-being.,

You should have a minimum of 5 years of experience in DevOps, SRE, or Infrastructure Engineering. Your expertise should include a strong command of Azure Cloud and Infrastructure-as-Code using tools such as Terraform and CloudFormation. Proficiency in Docker and Kubernetes is essential. You should be hands-on with CI/CD tools and scripting languages like Bash, Python, or Go. A solid knowledge of Linux, networking, and security best practices is required. Experience with monitoring and logging tools such as ELK, Prometheus, and Grafana is expected. Familiarity with GitOps, Helm charts, and automation will be an advantage. Your key responsibilities will involve designing and managing CI/CD pipelines using tools like Jenkins, GitLab CI/CD, and GitHub Actions. You will be responsible for automating infrastructure provisioning through tools like Terraform, Ansible, and Pulumi. Monitoring and optimizing cloud environments, implementing containerization and orchestration with Docker and Kubernetes (EKS/GKE/AKS), and maintaining logging, monitoring, and alerting systems (ELK, Prometheus, Grafana, Datadog) are crucial aspects of the role. Ensuring system security, availability, and performance tuning, managing secrets and credentials using tools like Vault and Secrets Manager, troubleshooting infrastructure and deployment issues, and implementing blue-green and canary deployments will be part of your responsibilities. Collaboration with developers to enhance system reliability and productivity is key. Preferred skills include certification as an Azure DevOps Engineer, experience with multi-cloud environments, microservices, and event-driven systems, as well as exposure to AI/ML pipelines and data engineering workflows.,

As a GCP Cloud Engineer at Ascentt, you will play a crucial role in designing, deploying, and managing cloud infrastructure on Google Cloud Platform to provide scalable solutions for our development teams. Your expertise will contribute to turning enterprise data into real-time decisions using advanced machine learning and GenAI, with a focus on solving hard engineering problems with real-world industry impact. Your key responsibilities will include designing and managing GCP infrastructure such as Compute Engine, GKE, Cloud Run, and networking components. You will be expected to implement CI/CD pipelines and infrastructure as code, preferably using Terraform, and configure monitoring, logging, and security using Cloud Operations Suite. Automation of deployments and maintenance of disaster recovery procedures will be essential aspects of your role, along with collaborating closely with development teams on architecture and troubleshooting. To excel in this role, you should possess at least 5 years of GCP experience with core services like Compute, Storage, Cloud SQL, and BigQuery. Strong knowledge of Kubernetes, Docker, and networking is essential, along with proficiency in Terraform and scripting languages such as Python and Bash. Experience with CI/CD tools, cloud migrations, and GitHub is required, and holding GCP Associate/Professional certification would be advantageous. A Bachelor's degree or equivalent experience is also necessary to succeed in this position. Additionally, preferred skills for this role include experience with multi-cloud environments like AWS/Azure, familiarity with configuration management tools such as Ansible and Puppet, database administration knowledge, and expertise in cost optimization strategies. If you are a passionate builder looking to shape the future of industrial intelligence through cutting-edge data analytics and AI/ML solutions, Ascentt welcomes your application to join our team and make a significant impact in the automotive and manufacturing industries.,

As a Team Lead in DevOps with 6+ years of experience, you will be responsible for managing, mentoring, and developing a team of DevOps engineers. Your role will involve overseeing the deployment and maintenance of applications such as Odoo (Python/PostgreSQL), Magento (PHP/MySQL), and Node.js (JavaScript/TypeScript). You will design and manage CI/CD pipelines using tools like Jenkins, GitHub Actions, and GitLab CI. Additionally, you will handle environment-specific configurations for staging, production, and QA. Your responsibilities will include containerizing legacy and modern applications using Docker and deploying them via Kubernetes (EKS/AKS/GKE) or Docker Swarm. You will implement and maintain Infrastructure as Code using tools like Terraform, Ansible, or CloudFormation. Monitoring application health and infrastructure using tools such as Prometheus, Grafana, ELK, Datadog, and ensuring systems are secure, resilient, and compliant with industry standards will also be part of your role. Optimizing cloud costs and infrastructure performance, collaborating with development, QA, and IT support teams, and troubleshooting performance, deployment, or scaling issues across tech stacks are essential tasks. To excel in this role, you must have at least 6 years of experience in DevOps/Cloud/System Engineering roles, with hands-on experience. You should have a minimum of 2 years of experience managing or leading DevOps teams. Proficiency in supporting and deploying Odoo on Ubuntu/Linux with PostgreSQL, Magento with Apache/Nginx, PHP-FPM, MySQL/MariaDB, and Node.js with PM2/Nginx or containerized setups is required. Experience with AWS, Azure, or GCP infrastructure in production, strong scripting skills (Bash, Python, PHP CLI, or Node CLI), and a deep understanding of Linux system administration and networking fundamentals are essential. In addition, you should have experience with Git, SSH, reverse proxies (Nginx), and load balancers. Good communication skills and exposure to managing clients are crucial. Preferred certifications that are highly valued include AWS Certified DevOps Engineer Professional, Azure DevOps Engineer Expert, and Google Cloud Professional DevOps Engineer. Additionally, experience with Magento Cloud DevOps or Odoo Deployment is considered a bonus. Nice-to-have skills include experience with multi-region failover, HA clusters, RPO/RTO-based design, familiarity with MySQL/PostgreSQL optimization, and knowledge of Redis, RabbitMQ, or Celery. Previous experience with GitOps, ArgoCD, Helm, or Ansible Tower, as well as knowledge of VAPT 2.0, WCAG compliance, and infrastructure security best practices, are also advantageous for this role.,

Dexcom Corporation is a pioneer and global leader in continuous glucose monitoring (CGM), with a mission to revolutionize diabetes management and improve health outcomes. With a vision to empower individuals to take control of their health, Dexcom is dedicated to providing personalized, actionable insights to address important health challenges. As a part of the team, you will contribute to the innovative solutions that are transforming the healthcare industry and improving human health on a global scale. Joining the high-growth and fast-paced environment at Dexcom, you will collaborate with leading-edge cloud and cybersecurity teams to develop cutting-edge diabetes medical device systems. As a Cloud Operations Engineer specializing in Google Cloud Platform (GCP) and PKI operations, you will play a crucial role in deploying and operating cloud-based services for the next generation of Dexcom products. Your responsibilities will include supporting the secure design, development, and deployment of products and services, working closely with various teams to ensure the PKI system is securely deployed and operated in the cloud. In this role, you will: - Support designs and architectures for enterprise cloud-based systems in GCP, ensuring careful planning and consideration of changes within the internal platform ecosystem. - Deploy and support PKI, device identity management, and key management solutions for Dexcom products and services. - Assist in software building and delivering processes using CI/CD tools, with a focus on automation and traceability. - Monitor and maintain production systems, troubleshoot issues, and participate in on-call rotations to address service outages. - Collaborate with stakeholders and development teams to integrate capabilities into the system architecture and align delivery plans with project timelines. - Provide cloud training to team members and support system testing, integration, and deployment. To be successful in this role, you should have experience with: - CI/CD processes and GitHub actions - Scripting languages such as Bash, Python - Automation of operational work - Cloud development and containerized Docker applications - GKE, Datadog, and cloud services - Developing and deploying cloud-based systems via CI/CD pipelines and cloud-native tools Additionally, having knowledge of PKI fundamentals, cryptography, and cloud security expertise is preferred. By joining Dexcom, you will have the opportunity to work with life-changing CGM technology, access comprehensive benefits, grow on a global scale, and contribute to an innovative organization committed to its employees, customers, and communities. Travel Required: 0-5% Experience And Education Requirements: - Bachelors degree in a technical discipline with 5-8 years related experience - Masters degree with 2-5 years equivalent industry experience - PhD with 0-2 years experience ,

Exp - 8 to 12 years Experience with Google Cloud, security and compliance, as well as Terraform experience. The team supports all 4 major public cloud environments (Google/Azure/IBM/AWS) but for this position Google is preferred. Minimum Qualifications: Knowledge of public Cloud Architecture and solutions (Google Cloud specifically, Azure, IBM and/or AWS as well) Experience in Python and PowerShell programing/scripting Experience with Terraform Excellent time and project management skills Influencing skills Multitasking Process Analysis Mandatory Skills Google cloud infrastructure, security and compliance, GKE, Kubernetes, Terraform, Desired Skills Azure, IBM, AWS Cloud, Grafana, Prometheus, Logi, Python

As a hands-on backend expert, you will be responsible for taking our FastAPI-based platform to the next level by building production-grade model-inference services, agentic AI workflows, and seamless integration with third-party LLMs and NLP tooling. Please note that this role is being hired for one of our client companies, and the company name will be disclosed during the interview process. In this role, you will have the opportunity to work on the following key areas: Core Backend Enhancements: - Build APIs - Harden security with OAuth2/JWT, rate-limiting, SecretManager, and observability with structured logging and tracing - Implement CI/CD, test automation, health checks, and SLO dashboards Awesome UI Interfaces: - Develop UI interfaces using React.js/Next.js, Redact/Context, and various CSS frameworks like Tailwind, MUI, Custom-CSS, and Shadcn LLM & Agentic Services: - Design micro/mini-services to host and route to OpenAI, Anthropic, local HF models, embeddings, and RAG pipelines - Implement autonomous/recursive agents that orchestrate multi-step chains including Tools, Memory, and Planning Model-Inference Infrastructure: - Set up GPU/CPU inference servers behind an API gateway - Optimize throughput with batching, streaming, quantization, and caching using technologies like Redis and pgvector NLP & Data Services: - Own the NLP stack focusing on Transformers for classification, extraction, and embedding generation - Build data pipelines that combine aggregated business metrics with model telemetry for analytics You will be working with the following tech stack: - Python, FastAPI, Starlette, Pydantic - Async SQLAlchemy, Postgres, Alembic, pgvector - Docker, Kubernetes, or ECS/Fargate on AWS or GCP - Redis, RabbitMQ, Celery for jobs and caching - Prometheus, Grafana, OpenTelemetry - HuggingFace Transformers, LangChain, Torch, TensorRT - OpenAI, Anthropic, Azure OpenAI, Cohere APIs - Pytest, GitHub Actions - Terraform or CDK To be successful in this role, you must have: - 3+ years of experience building production Python REST APIs using FastAPI, Flask, or Django-REST - Strong SQL schema design and query optimization skills in Postgres - Deep knowledge of async patterns and concurrency - Hands-on experience with UI applications that integrate with backend APIs - Experience with RAG, LLM/embedding workflows, prompt-engineering, and agent-ops frameworks - Cloud container orchestration experience - Proficiency in CI/CD pipelines and infrastructure-as-code Nice-to-have experience includes familiarity with streaming protocols, NGINX Ingress, RBAC, multi-tenant SaaS security, data privacy, event-sourced data models, and more. This role is crucial as our products are live and evolving rapidly. You will have the opportunity to own systems end-to-end, scale AI services, work closely with the founder, and shape the future of our platform. If you are seeking meaningful ownership and enjoy working on challenging, forward-looking problems, this role is perfect for you.,

You have an exciting opportunity to join Ripplehire as a Senior DevOps Team Lead - GCP Specialist. In this role, you will play a crucial part in shaping and executing the cloud infrastructure strategy using Google Cloud Platform (GCP), with a particular focus on GKE, networking, and optimization strategies. As the Senior DevOps Team Lead, your responsibilities will include designing, implementing, and managing GCP-based infrastructure, optimizing GKE clusters for performance and cost-efficiency, establishing secure VPC architectures and firewall rules, setting up logging and monitoring systems, driving cost optimization initiatives, mentoring team members on GCP best practices, and collaborating with development teams on CI/CD pipelines. To excel in this role, you must possess extensive experience with GCP, including GKE, networking, logging, monitoring, and cost optimization. Additionally, you should have a strong background in Infrastructure as Code, CI/CD pipeline design, container orchestration, troubleshooting, incident management, and performance optimization. Qualifications for this position include at least 5 years of DevOps experience with a focus on GCP environments, GCP Professional certifications (Cloud Architect, DevOps Engineer preferred), experience leading technical teams, cloud security expertise, and a track record of scaling infrastructure for high-traffic applications. If you are ready for a new challenge and an opportunity to advance your career in a supportive work environment, don't miss this chance to apply. Click on Apply, complete the Screening Form, upload your resume, and increase your chances of getting shortlisted for an interview. Uplers is committed to making the hiring process reliable, simple, and fast, and we are here to support you throughout your engagement. Apply today and take the next step in your career journey with us!,

You will be responsible for leading a team of DevOps engineers in Ahmedabad. Your main duties will include managing and mentoring the team, overseeing the deployment and maintenance of various applications such as Odoo, Magento, and Node.js. You will also be in charge of designing and managing CI/CD pipelines using tools like Jenkins and GitLab CI, handling environment-specific configurations, and containerizing applications using Docker. In addition, you will need to implement and maintain Infrastructure as Code using tools like Terraform and Ansible, monitor application health and infrastructure, and ensure systems are secure, resilient, and compliant with industry standards. Collaboration with development, QA, and IT support teams is essential for seamless delivery, and troubleshooting performance, deployment, or scaling issues across tech stacks will also be part of your responsibilities. To be successful in this role, you should have at least 6 years of experience in DevOps/Cloud/System Engineering roles, with a minimum of 2 years managing or leading DevOps teams. Hands-on experience with Odoo, Magento, Node.js, and AWS/Azure/GCP infrastructure is required. Strong scripting skills in Bash, Python, PHP, or Node CLI, as well as a deep understanding of Linux system administration and networking fundamentals, are essential. Experience with Git, SSH, reverse proxies, and load balancers is also necessary, along with good communication skills and client management exposure. Preferred certifications that would be highly valued for this role include AWS Certified DevOps Engineer Professional, Azure DevOps Engineer Expert, and Google Cloud Professional DevOps Engineer. Bonus skills that are nice to have include experience with multi-region failover, HA clusters, MySQL/PostgreSQL optimization, GitOps, ArgoCD, Helm, VAPT 2.0, WCAG compliance, and infrastructure security best practices.,

Apigee SRE Bangalore (Hybrid), India Seeking a talented Apigee SRE in Bangalore for a hybrid role (3 days in office)! Drive the reliability and scalability of our API platforms. Intro: We are looking for a dedicated Apigee Site Reliability Engineer (SRE) to join our team in Bangalore. In this hybrid role, you will be crucial in ensuring the robustness, scalability, and performance of our Apigee API platform and related API ecosystems. You'll work on designing, implementing, and maintaining reliable systems, and actively contribute to an engineering culture that values innovation and continuous improvement. You'll gain broad exposure working with diverse clients, expanding your skillset, and having a direct impact on our success. What Experience is Mandatory: Proven hands-on experience with Google Apigee Edge (or Apigee X/Hybrid), including API proxy development, security, and traffic management. Strong understanding and practical application of Site Reliability Engineering (SRE) principles and practices. Experience with monitoring, logging, and alerting tools relevant to API platforms (e.g., Cloud Monitoring, Prometheus, Grafana, ELK Stack). Proficiency in diagnosing and resolving complex production issues related to APIs and distributed systems. Solid understanding of cloud platforms, with a preference for Google Cloud Platform (GCP) services relevant to Apigee. Experience with scripting and automation (e.g., Python, Bash, Go). What Experience is Beneficial but Optional: Familiarity with Infrastructure as Code (IaC) tools like Terraform for managing cloud resources and Apigee configurations. Knowledge of containerization (Docker) and orchestration (Kubernetes/GKE). Experience with other API Gateway solutions or API management platforms. Background in network troubleshooting and security best practices for APIs. Experience with CI/CD pipelines for API deployments. What We Offer: Real Impact: You'll have a direct impact on our clients' success and the growth of our company. Your work ensures critical systems remain highly available and performant. Learning and Growth: We invest in your development. We cover education expenses, encourage certifications, and provide opportunities to work with the latest technologies. Equity in the Company: Become a part-owner of Aviato (after 6 months). We believe in sharing our success with the team. Competitive Compensation and Benefits: We offer a competitive salary and comprehensive benefits package, including an annual bonus. Hybrid Work Model: Enjoy a balanced work-life with our hybrid setup in Bangalore (3 days in office). Great Place to Work: Join a company certified as a Great Place to Work, founded by Ex-Googlers who prioritize a positive and innovative culture. Ready to build something amazing? Apply now!

Join the Agentforce team in AI Cloud at Salesforce and make a real impact with your software designs and code! This position requires technical skills, outstanding analytical and influencing skills, and extraordinary business insight. It is a multi-functional role that requires building alignment and communication with several engineering organizations. We work in a highly collaborative environment, and you will partner with a highly cross-functional team comprised of Data Scientists, Software Engineers, Machine learning engineers, UX experts, and product managers to build upon Agentforce, our cutting-edge new AI framework. We value execution, clear communication, feedback, and making learning fun. Your impact - You will: Architect, design, implement, test, and deliver highly scalable AI solutions: Agents, AI Copilots/assistants, Chatbots, AI Planners, RAG solutions. Be accountable for defining and driving software architecture and enterprise capabilities (scalability, fault tolerance, extensibility, maintainability, etc.) Independently design sophisticated software systems for high-end solutions, while working in a consultative fashion with other senior engineers and architects in AI Cloud and across the company. Determine overall architectural principles, frameworks, and standards to craft vision and roadmaps. Analyze and provide feedback on product strategy and technical feasibility. Drive long-term design strategies that span multiple sophisticated projects, deliver technical reports and performance presentations to customers and at industry events. Actively communicate with, encourage, and motivate all levels of staff. Be a subject matter expert for multiple products, while writing code and working closely with other developers, PM, and UX to ensure features are delivered to meet business and quality requirements. Troubleshoot complex production issues and interface with support and customers as needed. Drive long-term design strategies that span multiple sophisticated projects, deliver technical reports and performance presentations to customers and at industry events. Required Skills: 12+ years of experience in building highly scalable Software-as-a-Service applications/platform. Experience building technical architectures that address complex performance issues. Thrive in dynamic environments, working on cutting-edge projects that often come with ambiguity. Innovation/startup mindset to be able to adapt. Deep knowledge of object-oriented programming and experience with at least one object-oriented programming language, preferably Java. Proven ability to mentor team members to support their understanding and growth of software engineering architecture concepts and aid in their technical development. High proficiency in at least one high-level programming language and web framework (NodeJS, Express, Hapi, etc.). Proven understanding of web technologies, such as JavaScript, CSS, HTML5, XML, JavaScript, JSON, and/or Ajax. Data model design, database technologies (RDBMS & NoSQL), and languages such as SQL and PL/SQL. Experience delivering or partnering with teams that ship AI products at high scale. Experience in automated testing, including unit and functional testing using Java, JUnit, JSUnit, Selenium. Demonstrated ability to drive long-term design strategies that span multiple complex projects. Experience delivering technical reports and presentations to customers and at industry events. Demonstrated track record of cultivating strong working relationships and driving collaboration across multiple technical and business teams to resolve critical issues. Experience with the full software lifecycle in highly agile and ambiguous environments. Excellent interpersonal and communication skills. Preferred Skills: Solid experience in API development, API lifecycle management, and/or client SDKs development. Experience with machine learning or cloud technology platforms like AWS sagemaker, terraform, spinnaker, EKS, GKE. Experience with AI/ML and Data science, including Predictive and Generative AI. Experience with data engineering, data pipelines, or distributed systems. Experience with continuous integration (CI) and continuous deployment (CD), and service ownership. Familiarity with Salesforce APIs and technologies. Ability to support/resolve production customer escalations with excellent debugging and problem-solving skills.,