8 Cloudsql Jobs

We are hiring a DevOps / Site Reliability Engineer for a 6-month full-time onsite role in Pune (with possible extension). The ideal candidate will have 69 years of experience in DevOps/SRE roles with deep expertise in Kubernetes (preferably GKE), Terraform, Helm, and GitOps tools like ArgoCD or Flux. The role involves building and managing cloud-native infrastructure, CI/CD pipelines, and observability systems, while ensuring performance, scalability, and resilience. Experience in infrastructure coding, backend optimization (Node.js, Django, Java, Go), and cloud architecture (IAM, VPC, CloudSQL, Secrets) is essential. Strong communication and hands-on technical ability are musts. Immediate joiners only.

Timings: Full Time (As per company timings) Notice Period: (Immediate Joiner - Only) Duration: 6 Months (Possible Extension) Shift Timing: 11:30 AM 9:30 PM IST About the Role We are looking for a highly skilled and experienced DevOps / Site Reliability Engineer to join on a contract basis. The ideal candidate will be hands-on with Kubernetes (preferably GKE), Infrastructure as Code (Terraform/Helm), and cloud-based deployment pipelines. This role demands deep system understanding, proactive monitoring, and infrastructure optimization skills. Key Responsibilities: Design and implement resilient deployment strategies (Blue-Green, Canary, GitOps). Configure and maintain observability tools (logs, metrics, traces, alerts). Optimize backend service performance through code and infra reviews (Node.js, Django, Go, Java). Tune and troubleshoot GKE workloads, HPA configs, ingress setups, and node pools. Build and manage Terraform modules for infrastructure (VPC, CloudSQL, Pub/Sub, Secrets). Lead or participate in incident response and root cause analysis using logs, traces, and dashboards. Reduce configuration drift and standardize secrets, tagging, and infra consistency across environments. Collaborate with engineering teams to enhance CI/CD pipelines and rollout practices. Required Skills & Experience: 510 years in DevOps, SRE, Platform, or Backend Infrastructure roles. Strong coding/scripting skills and ability to review production-grade backend code. Hands-on experience with Kubernetes in production, preferably on GKE. Proficient in Terraform, Helm, GitHub Actions, and GitOps tools (ArgoCD or Flux). Deep knowledge of Cloud architecture (IAM, VPCs, Workload Identity, CloudSQL, Secret Management). Systems thinking understands failure domains, cascading issues, timeout limits, and recovery strategies. Strong communication and documentation skills capable of driving improvements through PRs and design reviews. Tech Stack & Tools Cloud & Orchestration: GKE, Kubernetes IaC & CI/CD: Terraform, Helm, GitHub Actions, ArgoCD/Flux Monitoring & Alerting: Datadog, PagerDuty Databases & Networking: CloudSQL, Cloudflare Security & Access Control: Secret Management, IAM Driving Results: A good single contributor and a good team player. Flexible attitude towards work, as per the needs. Proactively identify & communicate issues and risks. Other Personal Characteristics: Dynamic, engaging, self-reliant developer. Ability to deal with ambiguity. Manage a collaborative and analytical approach. Self-confident and humble. Open to continuous learning Intelligent, rigorous thinker who can operate successfully amongst bright people

Notice Period: (Immediate Joiner - Only) Duration: 6 Months (Possible Extension) Shift Timing: 11:30 AM 9:30 PM IST About the Role We are looking for a highly skilled and experienced DevOps / Site Reliability Engineer to join on a contract basis. The ideal candidate will be hands-on with Kubernetes (preferably GKE), Infrastructure as Code (Terraform/Helm), and cloud-based deployment pipelines. This role demands deep system understanding, proactive monitoring, and infrastructure optimization skills. Key Responsibilities: Design and implement resilient deployment strategies (Blue-Green, Canary, GitOps). Configure and maintain observability tools (logs, metrics, traces, alerts). Optimize backend service performance through code and infra reviews (Node.js, Django, Go, Java). Tune and troubleshoot GKE workloads, HPA configs, ingress setups, and node pools. Build and manage Terraform modules for infrastructure (VPC, CloudSQL, Pub/Sub, Secrets). Lead or participate in incident response and root cause analysis using logs, traces, and dashboards. Reduce configuration drift and standardize secrets, tagging, and infra consistency across environments. Collaborate with engineering teams to enhance CI/CD pipelines and rollout practices. Required Skills & Experience: 5-10 years in DevOps, SRE, Platform, or Backend Infrastructure roles. Strong coding/scripting skills and ability to review production-grade backend code. Hands-on experience with Kubernetes in production, preferably on GKE. Proficient in Terraform, Helm, GitHub Actions, and GitOps tools (ArgoCD or Flux). Deep knowledge of Cloud architecture (IAM, VPCs, Workload Identity, CloudSQL, Secret Management). Systems thinking understands failure domains, cascading issues, timeout limits, and recovery strategies. Strong communication and documentation skills capable of driving improvements through PRs and design reviews. Tech Stack & Tools Cloud & Orchestration: GKE, Kubernetes IaC & CI/CD: Terraform, Helm, GitHub Actions, ArgoCD/Flux Monitoring & Alerting: Datadog, PagerDuty Databases & Networking: CloudSQL, Cloudflare Security & Access Control: Secret Management, IAM Driving Results: A good single contributor and a good team player. Flexible attitude towards work, as per the needs. Proactively identify & communicate issues and risks. Other Personal Characteristics: Dynamic, engaging, self-reliant developer. Ability to deal with ambiguity. Manage a collaborative and analytical approach. Self-confident and humble. Open to continuous learning Intelligent, rigorous thinker who can operate successfully amongst bright people

About the Role: Grade Level (for internal use): 09 The Team: Automotive Mastermind was founded on the idea that there are patterns in peoples behavior that, with the right logic, can be used to predict future outcomes.Our software helps automotive dealerships and sales teams better understand and predict exactly which customers are ready to buy, the reasons why, and the key offers and incentives most likely to close the sale.Our culture is creative and entrepreneurial where everyone contributes to company goals in a very real way. We are a hardworking group, but we have a lot of fun with what we do and are looking for new people with a similar mindset to join the organization. The Impact: As a Quality Engineer you will collaborate with members of both, Product and Development Teams to help them make informed decisions on releases of one of the best tools there is for car dealerships in the United States. Whats in it for you: Possibility to work on a project in a very interesting domain - Automotive industry in the United States, and influence the quality of one of the best tools there is for car dealerships. Affect processes and tools used for Quality Engineering. Our Team has a high degree of autonomy in automotive Mastermind organization to decide what tools and processes we will use. Responsibilities: Own and be responsible for testing and delivery of product or core modules. Assessing the quality, usability and functionality of each release. Reviewing software requirement and capable in preparing test scenarios for complex business rules Interact with the stakeholders to understand the detailed requirements and expectations Be able to gain technical knowledge and aim to be a quality SME(s) in core functional components Developing and organizing QA Processes for assigned projects to align with overall QA goals Designing and implementing a test automation strategy supporting multiple product development teams Leading efforts for related automation projects, design and code reviews Producing regular reports on the status and quality of software releases and be prepared to speak to findings in an informative way to all levels of audiences. What Were Looking For: Participate in and improve the whole lifecycle of servicesfrom inception and design, through deployment, operation, and refinement. Participate in the release planning process to review functional specifications and create release plans. Collaborate with software engineers to design verification test plans. Design regression test suites and review with engineering, applications and the field organization. Produce regular reports on the status and quality of software releases and be prepared to speak to findings in an informative way to all levels of audience. Assess the quality, usability and functionality of each release. Develop and organize QA Processes for assigned projects to align with overall QA goals Lead and train a dynamically changing team of colleagues who participate in testing processes Exhibit expertise in handling large scale programs/projects that involve multiple stakeholders (Product, Dev, DevOps) Maintain a leading edge understanding of QA as related to interactive technologies best practices Design and implement test automation strategy for multiple product development teams at the onset of the project. Lead efforts for related automation projects, design and code reviews. Work closely with leadership and IT to provide input into the design and implementation of the automation framework. Work with Architecture, Engineering, Quality Engineering, IT, and Product Operations leaders to create and implement processes that accelerate the delivery of new features and products with high quality and at scale. Develop and contribute to a culture of high performance, transparency and continuous improvement as it relates to the infrastructure services and streamlining of the development pipeline. Participate in a diverse team of talented engineers globally, providing guidance, support and clear priorities. ? Who you are: Total Experience: 2 to 6 years. Hands on experience with at least 2 or more of leading testing tools/framework like Playwright, Robot Framework, K6, Jmeter. Hands on experience working on Python. Experience with Databases SQL/NoSQL. Experience working on CloudNative Applications. Hands on experience with Google Cloud Services like Kubernetes, Composer, Dataplex, Pub-Sub, BigQuery, AlloyDb, CloudSQL , lookerstudio etc. Strong analytical skills and ability to solve complex technical problems. API testing - must have understanding of RESTful design / best practices. Hands on experience testing APIs and test tools Experience with load / stress / performance testing and tools, Experience with Azure DevOps (or other similar issue/bug tracking systems) is required, Experience working with Cloud native applications. Ability to think abstract to ensure ability to not conform to the norm. Norms do not find bugs quickly, Experience working in an Agile software development organization, Experience supporting development and product teams Excellent verbal, written, and interpersonal communication skills; ability to interact with all levels of an organization Ability to work in an advisory capacity to identify key technical and business problems, develop and evaluate. Grade: 08 / 09 Job Location: Gurugram Hybrid Mode: twice a week work from office. Shift Time: 12 pm to 9 pm IST.

Skill & Experience Strategic Planning and Direction Maintain architecture principles, guidelines and standards Project & Program Management Data Warehousing Big Data Data Analytics &; Data Science for solutioning Expert in Big Query, Dataproc, Data Fusion, Dataflow, Bigtable, Fire Store, CloudSQL, Cloud Spanner, Google Cloud Storage, Cloud Composer, Cloud Interconnect, Etc Strong Experience in Big Data- Data Modelling, Design, Architecting & Solutioning Understands programming language like SQL, Python, R-Scala. Good Python skills, - Experience from data visualisation tools such as Google Data Studio or Power BI Knowledge in A/B Testing, Statistics, Google Cloud Platform, Google Big Query, Agile Development, DevOps, Date Engineering, ETL Data Processing Strong Migration experience of production Hadoop Cluster to Google Cloud. Experience in designing & mplementing solution in mentioned areas:Strong Google Cloud Platform Data Components BigQuery, BigTable, CloudSQL, Dataproc, Data Flow, Data Fusion, Etc

Position Description: The Boeing Company is currently seeking a high performing versatile Experienced Programmer Analyst_Data Engineer to join the Product Systems build team. The Product Systems build team provides comprehensive software solutions to rapidly access and visually transform complex engineering and manufacturing product data. Responsibilities include development and integration for a variety of Commercial off the Shelf (COTS) and in house software application supporting our engineering/manufacturing teams. Job requires working within a diverse team of skilled and motivated co-workers to collaborate on results. Other qualities for this candidate are a positive attitude, self-motivated, the ability to work in a fast-paced, demanding environment, and the ability to adapt to changing priorities. Essential Job Functions/Responsibilities: Hands-on experience in understanding aerospace domain specific data Must coordinate with data scientists in data preparation, exploration and making data ready. Must have clear understanding of defining data products and monetizing. Must have experience in building self-service capabilities to users. Build quality checks across the data lineage and responsible in designing and implementing different data patterns. Works on prototyping and evaluates technical feasibility. Can influence different stakeholders for funding and building the vision of the product in terms of usage, productivity, and scalability of the solutions. Build impactful or outcome-based solutions/products. Qualification: 7+ years of experience as a data engineer. Strong understanding of Datawarehouse concepts, Data Lake, and data mesh Familiar with ETL tools and Data ingestion patterns Hands on experience in building data pipelines using Azure. Hands on experience in writing complex SQL and No- SQL Hands on experience with data pipeline orchestration tools such as Azure data Factory Hands on experience on Data Modelling Experience on Data visualization using Power BI or Tableau Experience in working with Global teams with global mindset. Mandatory Skills: Experience in Core Java/Python, SQL, Data Modelling, Airflow & Spark Experience in BQ, CloudSQL, PubSUB, BigTable, Terraform, DBMS, Dataflow and GCS Experience in Azure Services Education: Technical bachelor's degree and typically 8 - 12 years of related work experience. A technical degree is defined as any four year degree, or greater, in a mathematic, scientific or information technology field of study. Relocation: This position does offer relocation based on candidate eligibility within INDIA

Post Trade Automation Technology within the Investment Banking Division of Deutsche Bank is responsible for building and managing the Documentation & Settlement applications to support Operations Division in managing the trade lifecycle across Interest Rates, Credit, Equities (OTC Derivatives), Foreign Exchange & Money Market businesses. Our group is building cross-asset Documentation and Settlement cloud platforms. Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Flexible working arrangements Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Analysis, design and development of FXPCA system components with enhancements to GEM business a priority. Maintain and enhance existing applications by implementing planned engineering changes as part of agile feature team. Implement and comply with bank policies (naming conventions, encryption, security settings, capacity, availability and other non-functional requirements). Design, implementation, execution and results analysis of automated unit, integration, regression, resilience and performance tests. Code reviews based on the four-eye principle. Level-3 technical support as well as problem and root cause analysis. Your Skills and Experience: B.Tech/BE or M.Tech/ME/MCA/M.Sc. preferably in Computer-Science A hands-on technologist with 8-10 years of experience in Java based technologies, Micro-services architecture, CI/CD pipeline Java 8/11/17, Spring, Quarkus, REST APIs, Junit, Linux, Shell Script, messaging technology such as JMS,MQ, equivalent, Maven, Artifactory Experience with Github workflows actions and cloud deployment, preferably GCP. Experience working in an Agile/DevOps environment with JIRA, Confluence Strong analytical and design skills Proficient communication skills (written/verbal) Desired skills GCP services including GKE, CloudSQL, Cloud Composer TDD, BDD Python 3.x, Terraform Experience in Foreign Exchange Settlements/Investment Banking/Financial domain

We're seeking curious engineers to work within our feature teams. You will support customers by ensuring the products we deliver are fit for purpose and meet the quality and standards expected. We're looking for someone who wants to further develop their engineering skillset. Well support you to be able to be able to take on technical challenges and develop your understanding of how data solutions and services are developed, tested and implemented. If this excites you then you would be an asset to our team! We are pioneering the transformation of current processes from our on-premises platforms and have started our journey in deploying solutions on the Google Cloud Platform. This role sits within our platforms Analytics Lab who are looking to create strategic data products and build data and analytics capability. We work using agile delivery practices, so a self-led individual capable of accurately estimating and planning their own work would be valued highly. What Youd Get Involved With: Design, develop, maintain and improve data processes to support regulatory and prudential change with high quality solutions and providing oversight and leadership to help others do the same. Building data pipelines for current and future analytics and reporting solutions Implement and embody engineering standards, using constructive feedback to create opportunities for learning. Work with the Product Owner and customers to understand, refine and prioritise items for the feature team backlog Using strong problem solving skills and a combination of technical knowledge, experience and judgement to identify available options and clearly set-out the way forward. Key skills required: Passion for software and data engineering, adopting the mindset of a curious engineer Experience of DBT, SQL, Python, Java, SAS or other open source technologies used for analytics Ability to understand business requirements and create business ready solutions Show well-developed interpersonal, communication and influencing skills, particularly the ability to convey key business information arising from complex issues to non-technical people Desirable skills include: Cloud understanding, particularly GCP Knowledge of Terraform Data engineering background and good knowledge of waterfall and agile development practices. Insights into industry solutions for data management, storage and analytics coupled with experience of financial data, including Credit Risk, capital and impairment processes