Solution Architect
- The SA must have experience in the following areas:
- GCP Infrastructure as code (knowledge of terraform, etc.) and how to deploy
- GCP Service Architecture and Tooling knowledge
- Some experience with GCP Big Query to allow for strategies when online services need to query for data (scale cost vs fixed)
- Experience with online Google tools ecosystem (Tag Manager, Optimise, GMP)
- Some knowledge of network infrastructure on GCP
- Working with security gateways
- Working with elastic infrastructure and container technologies is desirable
Subodh Popalwar
Software Engineer, Memorres
About One of our leading IT services is Artificial Intelligence.
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Description:
As a Data Engineering Lead at Company, you will be at the forefront of shaping and managing our data infrastructure with a primary focus on Google Cloud Platform (GCP). You will lead a team of data engineers to design, develop, and maintain our data pipelines, ensuring data quality, scalability, and availability for critical business insights.
Key Responsibilities:
1. Team Leadership:
a. Lead and mentor a team of data engineers, providing guidance, coaching, and performance management.
b. Foster a culture of innovation, collaboration, and continuous learning within the team.
2. Data Pipeline Development (Google Cloud Focus):
a. Design, develop, and maintain scalable data pipelines on Google Cloud Platform (GCP) using services such as BigQuery, Dataflow, and Dataprep.
b. Implement best practices for data extraction, transformation, and loading (ETL) processes on GCP.
3. Data Architecture and Optimization:
a. Define and enforce data architecture standards, ensuring data is structured and organized efficiently.
b. Optimize data storage, processing, and retrieval for maximum
performance and cost-effectiveness on GCP.
4. Data Governance and Quality:
a. Establish data governance frameworks and policies to maintain data quality, consistency, and compliance with regulatory requirements. b. Implement data monitoring and alerting systems to proactively address data quality issues.
5. Cross-functional Collaboration:
a. Collaborate with data scientists, analysts, and other cross-functional teams to understand data requirements and deliver data solutions that drive business insights.
b. Participate in discussions regarding data strategy and provide technical expertise.
6. Documentation and Best Practices:
a. Create and maintain documentation for data engineering processes, standards, and best practices.
b. Stay up-to-date with industry trends and emerging technologies, making recommendations for improvements as needed.
Qualifications
● Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.
● 5+ years of experience in data engineering, with a strong emphasis on Google Cloud Platform.
● Proficiency in Google Cloud services, including BigQuery, Dataflow, Dataprep, and Cloud Storage.
● Experience with data modeling, ETL processes, and data integration. ● Strong programming skills in languages like Python or Java.
● Excellent problem-solving and communication skills.
● Leadership experience and the ability to manage and mentor a team.
Amazon Web Services (AWS)Intuitive Cloud is #hiring for Cloud Network Security Specialist.
looking for Immediate Joiner
Open to work on EST Time (6 pm to 3 am IST)
100 % Remote Opportunity
Location: India
- 8+ years of Strong Enterprise networking with Routing/Switching configuration/diagnostic experience in Global Network infrastructure design delivery of WAN, LAN, Firewall, and F5.
- Experience with Cisco hardware and OS : Catalyst switches, ISR/ASR routers, ASA
- Strong practical experience with Palo Alto firewalls is a MUST (VM series, CN series and other DC models)
- Strong understanding of the following Network protocols: BGP, IPsec and IPsec VTI VPN
- Experience and in-depth understanding of TCP/IP packets with ability to analyse captured packets for deep troubleshooting.
- Work closely with the Network architecture, security and application teams to rollout new designs and perform activities for supporting cloud application migration projects.
- Leverage his/her prior experience with Azure and AWS to implement global connectivity Secure solutions.
- Security Architecture: Build Cloud Network Architecture to support Encryption of Data at rest and transit
- Other services such as Guardrail, GuardDuty, AWS shield, CloudFront, AWS Control Tower, Inspector
PythonAmazon Web Services (AWS)How You'll Contribute:
● Redefine Fintech architecture standards by building easy-to-use, highly scalable,robust, and flexible APIs
● In-depth analysis of the systems/architectures and predict potential future breakdown and proactively bring solution
● Partner with internal stakeholders, to identify potential features implementation on that could cater to our growing business needs
● Drive the team towards writing high-quality codes, tackle abstracts/flaws in system design to attain revved-up API performance, high code reusability and readability.
● Think through the complex Fintech infrastructure and propose an easy-to-deploy modular infrastructure that could adapt and adjust to the specific requirements of the growing client base
● Design and create for scale, optimized memory usage and high throughput performance.
Skills Required:
● 5+ years of experience in the development of complex distributed systems
● Prior experience in building sustainable, reliable and secure microservice-based scalable architecture using Python Programming Language
● In-depth understanding of Python associated libraries and frameworks
● Strong involvement in managing and maintaining produc Ɵ on-level code with high volume API hits and low-latency APIs
● Strong knowledge of Data Structure, Algorithms, Design Patterns, Multi threading concepts, etc
● Ability to design and implement technical road maps for the system and components
● Bring in new software development practices, design/architecture innovations to make our Tech stack more robust
● Hands-on experience in cloud technologies like AWS/GCP/Azure as well as relational databases like MySQL/PostgreSQL or any NoSQL database like DynamoDB
Python
MongoDB● Create and maintain optimal data pipeline architecture.
● Assemble large, complex data sets that meet functional / non-functional
business requirements.
● Building and optimizing ‘big data’ data pipelines, architectures and data sets.
● Maintain, organize & automate data processes for various use cases.
● Identifying trends, doing follow-up analysis, preparing visualizations.
● Creating daily, weekly and monthly reports of product KPIs.
● Create informative, actionable and repeatable reporting that highlights
relevant business trends and opportunities for improvement.
Required Skills And Experience:
● 2-5 years of work experience in data analytics- including analyzing large data sets.
● BTech in Mathematics/Computer Science
● Strong analytical, quantitative and data interpretation skills.
● Hands-on experience with Python, Apache Spark, Hadoop, NoSQL
databases(MongoDB preferred), Linux is a must.
● Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
● Experience with Google Cloud Data Analytics Products such as BigQuery, Dataflow, Dataproc etc. (or similar cloud-based platforms).
● Experience working within a Linux computing environment, and use of
command-line tools including knowledge of shell/Python scripting for
automating common tasks.
● Previous experience working at startups and/or in fast-paced environments.
● Previous experience as a data engineer or in a similar role.
Kubernetes👋🏼We're Nagarro.
We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 33 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!
Please find the job details below
Experience: 7.5-10 years
REQUIREMENTS:
Must have Skills : Cloud architecture (Capable), Terraform, Kubernetes, Azure, Cloud Migration Expert,
Job Description :
- Responsible for Automating and orchestrating large scale application and database migration from on-prem to Cloud
- Expertise designing and developing enterprise grade architecture on Cloud
- Expertise in Cloud Security and create guidelines for its implementation
- Experience of managing enterprise grade cloud native Kubernetes cluster
- Expertise of the Infrastructure as a Code (IaC) using tools like Terraform, AWS CDK or other cloud native Iac services.
- Experience in monitoring tools like Prometheus & Grafana, Nagios/ CloudWatch/Data Dog/Zabbix and logging tools like Splunk/Logstash
- Rich experience in designing end to end CI/CD pipelines framework
- Must have Skills: AWS/Azure, Kubernetes, Terraform/AWS CDK, CICD
Responsibilities:
- Writing and reviewing great quality code
- Understanding functional requirements thoroughly and analysing the client’s needs in the context of the project
- Envisioning the overall solution for defined functional and non-functional requirements, and being able to define technologies, patterns, and frameworks to realize it.
- Determining and implementing design methodologies and tool sets
- Enabling application development by coordinating requirements, schedules, and activities.
- Being able to lead/support UAT and production roll outs.
- Creating, understanding, and validating WBS and estimated effort for given module/task, and being able to justify it.
- Addressing issues promptly, responding positively to setbacks and challenges with a mindset of continuous improvement
- Giving constructive feedback to the team members and setting clear expectations.
- Helping the team in troubleshooting and resolving of complex bugs
- Coming up with solutions to any issue that is raised during code/design review and being able to justify the decision taken.
- Carrying out POCs to make sure that suggested design/technologies meet the requirements.
Go Programming (Golang)
Vue.jsAmazon Web Services (AWS)Should be having overall years of experience of 7-12 years and having Team management ability.
Hands-on experience of minimum 5 years into Golang.
Proficient exp of minimum 2-3 years into DevOps* - end to end project implementation.
Strong expertise on DevOps concepts like Continuous Integration (CI), Continuous delivery (CD) and Infrastructure as Code, Cloud deployments.
Good experience of minimum 1-3 year into "Terraform".
Good experience of min 6months - 1 year into frontend technology like Vue.js
Good experience or working knowledge in AWS, Docker, Kubernetes, Helm etc.
Datametica is looking for talented Big Query engineers
Total Experience - 2+ yrs.
Notice Period – 0 - 30 days
Work Location – Pune, Hyderabad
Job Description:
- Sound understanding of Google Cloud Platform Should have worked on Big Query, Workflow, or Composer
- Experience in migrating to GCP and integration projects on large-scale environments ETL technical design, development, and support
- Good SQL skills and Unix Scripting Programming experience with Python, Java, or Spark would be desirable.
- Experience in SOA and services-based data solutions would be advantageous
About the Company:
www.datametica.com
Datametica is amongst one of the world's leading Cloud and Big Data analytics companies.
Datametica was founded in 2013 and has grown at an accelerated pace within a short span of 8 years. We are providing a broad and capable set of services that encompass a vision of success, driven by innovation and value addition that helps organizations in making strategic decisions influencing business growth.
Datametica is the global leader in migrating Legacy Data Warehouses to the Cloud. Datametica moves Data Warehouses to Cloud faster, at a lower cost, and with few errors, even running in parallel with full data validation for months.
Datametica's specialized team of Data Scientists has implemented award-winning analytical models for use cases involving both unstructured and structured data.
Datametica has earned the highest level of partnership with Google, AWS, and Microsoft, which enables Datametica to deliver successful projects for clients across industry verticals at a global level, with teams deployed in the USA, EU, and APAC.
Recognition:
We are gratified to be recognized as a Top 10 Big Data Global Company by CIO story.
If it excites you, please apply.
Scala
JavaJob Description:
TeamExtn is looking for a passionate Senior Scala Engineer. It will be expected from you to build pragmatic solutions on mission-critical initiatives. If you know your stuff, see the beauty in code, have knowledge in depth and breadth, advocate best practices, and love to work with distributed systems, then this is an ideal position for you.
As a core member of our Special Projects team, you will work on various new projects in a startup-like environment. These projects may include such things as building new APIs (REST/GraphQL/gRPC) for new products, integrating new products with core Carvana services, building highly scalable back end processing systems in Scala and integrating with systems backed by Machine Learning. You will use cutting edge functional Scala libraries such as ZIO. You will have the opportunity to work closely with our Product, Experience and Software Engineering teams to deliver impact.
Responsibilities:
- Build highly scalable APIs and back end processing systems for new products
- Contribute in the full software development lifecycle from design and development to testing and operating in production
- Communicate effectively with engineers, product managers and data scientists
- Drive scalability and performance within our distributed AI platform
- Full software development lifecycle from design and development to testing and operating in production
- Communicate effectively with engineers, product managers and data scientists
Skills And Experience:
- 4+ years experience with Scala, Java or other functional language
- Experience with Akka and Lightbend stack
- Expert with PostgreSQL, MySQL or MS SQL
- Experience in architecting, developing, deploying and operating large scale distributed systems and actor systems
- Experience with cloud APIs (e.g., GCP, AWS, Azure)
- Messaging systems such as GCP Pub/Sub, RabbitMQ, Kafka
- Strong foundation in algorithms and data structures and their real-world use cases.
- Solid understanding of computer systems and networks
- Production quality coding standards and patterns
BONUS SKILLS:
- Experience with functional programming in Scala
- Knowledge of ZIO and related ecosystem
- Experience with functional database libraries in Scala (Quill preferred)
- Kubernetes and Docker
- Elasticsearch
- Typescript, React and frontend UI development experience
- gRPC, GraphQL
Amazon Web Services (AWS)As a Partner Development Solution Architect focused on GSI partners within Aqua Security, you will have the opportunity to deliver on a strategy to build mind share and broad use of Aqua Platform across the partner community. Your broad responsibilities will include: owning the technical engagement with strategic partners, position aqua to be part of partner offerings, and assist with the creation of new technical strategies to help partners build and increase their application security practice business. You will be responsible for providing subject-matter expertise on the security of running cloud native workloads, which are rapidly being adopted in enterprise deployments. You will also drive technical relationships with all stakeholders and support sales opportunities. You will also work closely with the internal sales and partner sales team throughout the sales process to ensure all of the partners’ technical needs are understood and met with the best possible solution.
Responsibilities:
The ideal person will have excellent communications skills and be able to translate technical requirements for a non-technical audience. This person can multi-task, is self-motivated, while still interacting well with a team; is highly organized with high energy level and can-do attitude. Required skills include:
- Experience as a sales engineer or solution architect, working with enterprise software products or services.
- Ability to assess partner and customer requirements, identify business problems, and demonstrate proposed solutions.
- Ability to present at technical meetups.
- Ability to work with partners and conduct technical workshops
- Recent familiarity or hands-on experience with:
- Linux distributions, Windows Server
- Networking configurations, routing, firewalling
- DevOps eco-system: CI/CD tools, datacenter automation, open source tools like Jenkins
- Cloud computing environments (AWS, Azure, and Google Compute)
- Container technologies like Docker, Kubernetes, OpenShift and Mesos
-Knowledge of general security practices & DevSecOps
- Up to 25% travel is expected. The ideal candidate will be located in Hyderabad, India
Requirements:
- 7+ years of hands on implementation or consulting experience
- 3+ years in a customer and or partner facing roles
- Experience working with end users or developer communities
- Experience working effectively across internal and external organizations
- Knowledge of the software development lifecycle
- Strong verbal and written communications
- BS degree or equivalent experience required
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Job Title: |
Senior Cloud Infrastructure Engineer (Azure) |
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Department & Team |
Technology |
Location: |
India |
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Reporting To: |
Enterprise Solutions Architect |
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Role Purpose: |
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The purpose of the role is to ensure high systems availability across a multi-cloud environment, enabling the business to continue meeting its objectives.
This role will be mostly Azure / Windows / Active Directory / Azure AD focused but will include a requirement to understand comparative solutions in AWS.
Desire to maintain full hands-on status but to add Team Lead responsibilities in future
Client’s cloud strategy is based around a dual vendor solutioning model, utilising AWS and Azure services. This enables us to access more technologies and helps mitigate risks across our infrastructure.
The Infrastructure Services Team is responsible for the delivery and support of all infrastructure used by Client twenty-four hours a day, seven days a week. The team’s primary function is to install, maintain, and implement all infrastructure-based systems, both On Premise and Cloud Hosted. The Infrastructure Services group already consists of three teams:
1. Network Services Team – Responsible for IP Network and its associated components 2. Platform Services Team – Responsible for Server and Storage systems 3. Database Services Team – Responsible for all Databases
This role will report directly into the Enterprise Solutions Architect and will have responsibility for the day to day running of the Azure public cloud platform, as well as playing a key part in designing best practise solutions. It will enable the Client business to achieve its stated objectives by playing a key role in the Infrastructure Services Team to achieve world class benchmarks of customer service and support.
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Responsibilities: |
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Operations · Deliver end to end technical and user support across all cloud platforms (Primarily Azure) · Day to day, fully hands-on OS management responsibilities (Primarily Windows Server OS) · Contribute to continuous improvement efforts around cost optimisation, security enhancement, performance optimisation, operational efficiency and innovation. · Take an ownership role in delivering technical projects, ensuring best practise methods are followed. · Design and deliver solutions around the concept of “Planning for Failure”. Ensure all solutions are deployed to withstand system / AZ failure. · Work closely with Cloud Architects / Infrastructure Services Manager to identify and eliminate “waste” across cloud platforms. · Ensure robust tagging strategy followed in the organisation with accurate cost allocation of resources in Azure. · Ensure all Client data in all forms are backed up in a cost-efficient way. · Use the appropriate monitoring tools to ensure all cloud / on-premise services are continuously monitored. · Drive utilisation of most efficient methods of resource deployment. · Drive the adoption, across the business, of serverless / open source / cloud native technologies where applicable. · Ensure system documentation remains up to date and designed according to Azure best practise templates. · Participate in detailed architectural discussions, calling on internal/external subject matter experts as needed, to ensure solutions are designed for successful deployment. · Take part in regular discussions with business executives to translate their needs into technical and operational plans. · Engaging with vendors regularly in terms of verifying solutions and troubleshooting issues. · Designing and delivering technology workshops to other departments in the business. · Takes initiatives for improvement of service delivery. · Ensure that Client delivers a service that resonates with customer’s expectations, which sets Client apart from its competitors. · Help design necessary infrastructure and processes to support the recovery of critical technology and systems in line with contingency plans for the business. · Continually assess working practices and review these with a view to improving quality and reducing costs. · Champions the new technology case and ensure new technologies are investigated and proposals put forward regarding suitability and benefit. · Motivate and inspire the rest of the infrastructure team and undertake necessary steps to raise competence and capability as required. · Help develop a culture of ownership and quality throughout the Infrastructure Services team.
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Skills & Experience: |
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· Microsoft Azure Solutions Architect Expert AZ-303– REQUIRED · Microsoft Certified Professional ( MCP ) – REQUIRED · AWS Certified Cloud Practicioner - Preferred · Must be able to demonstrate working knowledge of designing, implementing and maintaining best practise Azure solutions. · Strong working knowledge of on-prem Active Directory, including GPO and Azure AD · Proven examples of ownership of large Azure project implementations in Enterprise settings. · Enterprise production experience of deploying infrastructure as code using Terraform · Experience managing the monitoring of infrastructure / applications using tools including Cloud native, Solarwinds, New Relic, etc. · Must have practical working knowledge of driving cost optimisation, security enhancement and performance optimisation. · Solid understanding and experience of transitioning IaaS solutions to serverless technology · Need to be able to demonstrate security best-practise when designing solutions in Azure. · Working experience of ‘On Premise to Cloud’ migrations · Good working knowledge around WAN connectivity and how this interacts with the various entry point options into Azure public cloud. · Production knowledge of Windows file servers / DFS · Strong experience in desktop virtualisation technologies in Azure · Good appreciation of ISO27001, ITIL and Project management · Good understanding of new and emerging technologies · Excellent presentation skills to both an internal and external audience · The ability to share your specific expertise to the rest of the Technology group · |
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Behavioural Fit: |
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· Professional appearance and manner · High personal drive; results oriented; makes things happen; “can do attitude” · Can work and adapt within a highly dynamic and growing environment · Team Player; effective at building close working relationships with others · Effectively manages diversity within the workplace · Strong focus on service delivery and the needs and satisfaction of internal clients · Able to see issues from a global, regional and corporate perspective · Able to effectively plan and manage large projects · Excellent communication skills and interpersonal skills at all levels · Strong analytical, presentation and training skills · Innovative and creative · Demonstrates technical leadership · Visionary and strategic view of technology enablers (creative and innovative) · High verbal and written communication ability, able to influence effectively at all levels · Possesses technical expertise and knowledge to lead by example and input into technical debates · Depth and breadth of experience in infrastructure technologies · Enterprise mentality and global mindset · Sense of humour
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Role Key Performance Indicators: |
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· Design and deliver repeatable, best in class, cloud solutions. · Pro-actively monitor service quality and take action to scale operational services, in line with business growth. · Generate operating efficiencies, to be agreed with Infrastructure Services Manager. · Establish a “best in sector” level of operational service delivery and insight. · Help create an effective team. |
Follow CutshortSubodh Popalwar
Software Engineer, Memorres