11+ Release engineering Jobs in Pune | Release engineering Job openings in Pune

Dear Candidate,

We are urgently looking for a Release- Big data Engineer For Pune Location.

Experience : 5-8 yrs

Location : Pune

Skills: Big data Engineer , Release Engineer ,DevOps, Aws/Azure/GCP Cloud exp. ,

JD:

• Oversee the end-to-end release lifecycle, from planning to post-production monitoring. Coordinate with cross-functional teams (DBA, BizOps, DevOps, DNS).
• Partner with development teams to resolve technical challenges in deployment and automation test runs
• Work with shared services DBA teams for schema-based multi-tenancy designs and smooth migrations.
• Drive automation for batch deployments and DR exercises. YAML based micro service deployment using shell/Python/Go
• Provide oversight for Big Data toolsets for deployment (e.g., Spark, Hive, HBase) in private cloud and public cloud CDP environments
• Ensure high-quality releases with a focus on stability and long-term performance.
• Able to run the automation batch scripts and debug the deployment and functional aspects/ work with dev leads to resolve the release cycle issues.

Regards,

Minakshi Soni

Executive- Talent Acquisition

Rigel Networks

• 6+ years of experience with expertise in Django CMS, Python, REST framework, AI framework
• MySQL Db usage, SQL queries
• Experience in using scraping tools.
• Microservices
• Docker and Kubernetes hands-on experience
• AWS Redis cache integration
• Deployment on AWS cloud, auto-scale
• Work will be rotational Shifts/ UK Shift
• Must be flexible to work on weekends/stretch for some hours

The ideal candidate will be familiar with the full software design life cycle. They should have experience in designing, coding, testing and consistently managing applications They should be comfortable coding in a number of languages and have the ability to test code in order to maintain high-quality code.

Responsibilities

• Design, code, test and manage various applications, Product Development
• Collaborate with the engineering team and product team to establish the best products
• Follow outlined standards of quality related to code and systems
• Develop automated tests and conduct performance tuning

Qualifications

• Bachelor's degree in Computer Science or relevant field
• 6 to 10 years of experience working with .NET or relevant experience
• Must have experience in Product Development
• Experience developing web-based applications in C#, HTML, JavaScript, VBScript/ASP, or .NET, Angular 8+
• Experience working with MS SQL Server and MySQL Knowledge of practices and procedures for full software design life cycle
• Experience working in an agile development environment

ServiceNow,ITSM + CSM

Role Purpose The role holder is responsible for developing ServiceNow services, applications and modules, which satisfy the agreed requirements/stories and acceptance criteria, in collaboration with the Lead Consultant and Engagement Manager, on customer projects. The role holder will ensure that Fujitsu is seen as a trusted ServiceNow delivery partner and project activities are successfully delivered as sold, generating positive customer feedback and unpinning further business growth.Key Accountabilities 1.Product Development. In-depth knowledge of the ServiceNow Platform (2 years), from the technology, development, integration and modules, to design, develop, implement and test modules in line with agreed timelines, budget, costs, quality and development standards.2.IT Integration. Provides integration facilities and provisions logistics on ServiceNow implementation projects, for the required customer integrations.3.Process Improvement. Suggests and implements proposals for process improvements within projects, once agreed.4.Innovation. Uses new technologies and methods actively to develop competitive services on customer projects.5.Documentation. Provides technical documentation on modules / products, following company standards on customer projects.6.Technical Expertise. Maintains high level of product and solution knowledge and maintains an up-to-date skills profile in ServiceNow and Java Scripting, .NET and Jelly code.7.Capabilities: Ability to drive business requirements and take an active/leading role with customer stakeholders including C-level / director level / users.Selection Criteria:Must have implementation experience in complete ITSM and CSM (Agent and Configurable Workspace, Playbook, Types, Guided decisions, Configuration Areas, Roles, Integration of CSM with other ServiceNow Apps).Strong expertise in scripting on the ServiceNow platform using JavaScript, CSS and Angular JS: Flows, Business Rules, Client Scripts, UI Actions, Widgets and UI PagesDeep understanding of the key technologies relevant to the ServiceNow integration solutions including: Integration Hub, SSO, Web Services, LDAP, JDBC, etc.Educated to degree level or have at least three years experience in an IT industry/environmentAt least three years of experience in technical delivery, preferably within a consulting environmentServiceNow Certified Administrator is essentialServiceNow Certified Implementation Specialist is desirableServiceNow Application Developer certification is essential.Experience of software development lifecyclesExperience of Agile and Waterfall project methods.

Find JD

         5+ Years of experience SAP ABAP Consultant

• Experience of supporting medium/large scale Support / implementation / SAP ECC on HANA .
• Worked with SAP MM, SD, FICO and HCM.Having experience in S4 HANA implementation.
• Absolute understanding of mapping technical designs to Functional Documents (FS) & creating/reviewing corresponding Technical Specs (TS).
• Detailed & exhaustive understanding of coding practices & naming conventions in ABAP.
• Deliver of New Business Request/ Change Request with good quality, the defined timeline and the defined budget Data Dictionary Concepts (Mandatory)Report development classical / Interactive / ALV ,SAP Script / Smart forms /Adobe Forms Module Pool ,SAP BAPI/RFC Performance optimizations
• Proficient in finding correct User Exit / SAP Enhancements Points and SAP BADI.IDOC Configuration, extensions, custom IDOC (Mandatory as working knowledge , if not complete hands-on)
• Interface developmentExcellent client facing consulting skills , analytical skills and debugging
• Should be well versed with SAP standards and best practices.Experience with OSS Note application & validation.Strong client facing
• Demonstrate the ability to plan, run, and manage and sustain the operation support service delivery according to agreed SLA with quality and customer satisfaction by following ITSM
• Working knowledge of industry project processes and frameworks, such as CMMI/ITIL.

Position Summary

DevOps is a Department of Horizontal Digital, within which we have 3 different practices.

1. Cloud Engineering
2. Build and Release
3. Managed Services

This opportunity is for Cloud Engineering role who also have some experience with Infrastructure migrations, this will be a complete hands-on job, with focus on migrating clients workloads to the cloud, reporting to the Solution Architect/Team Lead and along with that you are also expected to work on different projects for building out the Sitecore Infrastructure from scratch.

We are Sitecore Platinum Partner and majority of the Infrastructure work that we are doing is for Sitecore.

Sitecore is a .Net Based Enterprise level Web CMS, which can be deployed on On-Prem, IaaS, PaaS and Containers.

So, most of our DevOps work is currently planning, architecting and deploying infrastructure for Sitecore.
 

Key Responsibilities:

• This role includes ownership of technical, commercial and service elements related to cloud migration and Infrastructure deployments.
• Person who will be selected for this position will ensure high customer satisfaction delivering Infra and migration projects.
• Candidate must expect to work in parallel across multiple projects, along with that candidate must also have a fully flexible approach to working hours.
• Candidate should keep him/herself updated with the rapid technological advancements and developments that are taking place in the industry.
• Along with that candidate should also have a know-how on Infrastructure as a code, Kubernetes, AKS/EKS, Terraform, Azure DevOps, CI/CD Pipelines.

Requirements:

• Bachelor’s degree in computer science or equivalent qualification.
• Total work experience of 6 to 8 Years.
• Total migration experience of 4 to 6 Years.
• Multiple Cloud Background (Azure/AWS/GCP)
• Implementation knowledge of VMs, Vnet,
• Know-how of Cloud Readiness and Assessment
• Good Understanding of 6 R's of Migration.
• Detailed understanding of the cloud offerings
• Ability to Assess and perform discovery independently for any cloud migration.
• Working Exp. on Containers and Kubernetes.
• Good Knowledge of Azure Site Recovery/Azure Migrate/Cloud Endure
• Understanding on vSphere and Hyper-V Virtualization.
• Working experience with Active Directory.
• Working experience with AWS Cloud formation/Terraform templates.
• Working Experience of VPN/Express route/peering/Network Security Groups/Route Table/NAT Gateway, etc.
• Experience of working with CI/CD tools like Octopus, Teamcity, Code Build, Code Deploy, Azure DevOps, GitHub action.
• High Availability and Disaster Recovery Implementations, taking into the consideration of RTO and RPO aspects.
• Candidates with AWS/Azure/GCP Certifications will be preferred.

We are looking for a marketer with 3+ years of experience promoting B2B SaaS Product by designing and executing innovative marketing strategies to generate B2B leads. The various initiatives include:

1. Competitive Research and Market Analysis
2. Driving traffic to website to generate leads and tracking conversions, and key KPIs
3. Measure and report performance of all digital marketing campaigns, and assess against goals (ROI and KPIs)
4. Launch optimized online adverts through Google AdWords to increase company and brand awareness and conversion
5. Monitoring of Leads from all the Online Channels
6. Prepare online newsletters and promotional emails and organize their distribution through various channels
7. Responsible for Managing Online Brand and Product Campaigns to Raise Brand Awareness
8. Manage SEO, SEM and Content Management
9. Plan and monitor the ongoing company presence on social media (Quora, LinkedIn, Twitter, Facebook, etc)

Skills:

We are looking for someone who has exposure to the following:

• Needs to know Lead Generation, Lead Nurturing, Demand Generation, Email Marketing, Marketing Automation, Campaign Management, Web Traffic and Conversion, Lead Qualification Programs, Automated Nurture Campaigns, Marketing Funnel Management.
• Must have excellent Oral and Written communication skills.
• Must have excellent understanding of digital marketing concepts and best practices
• Hands-on experience in Marketing Automation tools, Google Analytics, Google Adwords and LinkedIn Ads.
• Must have hands on experience in handling CRM’s and its integration with third party plugins.
• Strong analytical skills and data-driven thinking and knowledge of web analytics tools (e.g. Google Analytics, SEMRush, etc.)

Role and Responsibilities

• Execute data mining projects, training and deploying models over a typical duration of 2 -12 months.
• The ideal candidate should be able to innovate, analyze the customer requirement, develop a solution in the time box of the project plan, execute and deploy the solution.
• Integrate the data mining projects embedded data mining applications in the FogHorn platform (on Docker or Android).

Core Qualifications
Candidates must meet ALL of the following qualifications:

• Have analyzed, trained and deployed at least three data mining models in the past. If the candidate did not directly deploy their own models, they will have worked with others who have put their models into production. The models should have been validated as robust over at least an initial time period.
• Three years of industry work experience, developing data mining models which were deployed and used.
• Programming experience in Python is core using data mining related libraries like Scikit-Learn. Other relevant Python mining libraries include NumPy, SciPy and Pandas.
• Data mining algorithm experience in at least 3 algorithms across: prediction (statistical regression, neural nets, deep learning, decision trees, SVM, ensembles), clustering (k-means, DBSCAN or other) or Bayesian networks

Bonus Qualifications
Any of the following extra qualifications will make a candidate more competitive:

• Soft Skills
  • Sets expectations, develops project plans and meets expectations.
  • Experience adapting technical dialogue to the right level for the audience (i.e. executives) or specific jargon for a given vertical market and job function.
• Technical skills
  • Commonly, candidates have a MS or Ph.D. in Computer Science, Math, Statistics or an engineering technical discipline. BS candidates with experience are considered.
  • Have managed past models in production over their full life cycle until model replacement is needed. Have developed automated model refreshing on newer data. Have developed frameworks for model automation as a prototype for product.
  • Training or experience in Deep Learning, such as TensorFlow, Keras, convolutional neural networks (CNN) or Long Short Term Memory (LSTM) neural network architectures. If you don’t have deep learning experience, we will train you on the job.
  • Shrinking deep learning models, optimizing to speed up execution time of scoring or inference.
  • OpenCV or other image processing tools or libraries
  • Cloud computing: Google Cloud, Amazon AWS or Microsoft Azure. We have integration with Google Cloud and are working on other integrations.
  • Decision trees like XGBoost or Random Forests is helpful.
  • Complex Event Processing (CEP) or other streaming data as a data source for data mining analysis
  • Time series algorithms from ARIMA to LSTM to Digital Signal Processing (DSP).
  • Bayesian Networks (BN), a.k.a. Bayesian Belief Networks (BBN) or Graphical Belief Networks (GBN)
  • Experience with PMML is of interest (see www.DMG.org).
• Vertical experience in Industrial Internet of Things (IoT) applications:
  • Energy: Oil and Gas, Wind Turbines
  • Manufacturing: Motors, chemical processes, tools, automotive
  • Smart Cities: Elevators, cameras on population or cars, power grid
  • Transportation: Cars, truck fleets, trains

About FogHorn Systems
FogHorn is a leading developer of “edge intelligence” software for industrial and commercial IoT application solutions. FogHorn’s Lightning software platform brings the power of advanced analytics and machine learning to the on-premise edge environment enabling a new class of applications for advanced monitoring and diagnostics, machine performance optimization, proactive maintenance and operational intelligence use cases. FogHorn’s technology is ideally suited for OEMs, systems integrators and end customers in manufacturing, power and water, oil and gas, renewable energy, mining, transportation, healthcare, retail, as well as Smart Grid, Smart City, Smart Building and connected vehicle applications.

Press:  https://www.foghorn.io/press-room/">https://www.foghorn.io/press-room/

Awards: https://www.foghorn.io/awards-and-recognition/">https://www.foghorn.io/awards-and-recognition/

• 2019 Edge Computing Company of the Year – Compass Intelligence
• 2019 Internet of Things 50: 10 Coolest Industrial IoT Companies – CRN
• 2018 IoT Planforms Leadership Award & Edge Computing Excellence – IoT Evolution World Magazine
• 2018 10 Hot IoT Startups to Watch – Network World. (Gartner estimated 20 billion connected things in use worldwide by 2020)
• 2018 Winner in Artificial Intelligence and Machine Learning – Globe Awards
• 2018 Ten Edge Computing Vendors to Watch – ZDNet & 451 Research
• 2018 The 10 Most Innovative AI Solution Providers – Insights Success
• 2018 The AI 100 – CB Insights
• 2017 Cool Vendor in IoT Edge Computing – Gartner
• 2017 20 Most Promising AI Service Providers – CIO Review

Our Series A round was for $15 million.  Our Series B round was for $30 million October 2017.  Investors include: Saudi Aramco Energy Ventures, Intel Capital, GE, Dell, Bosch, Honeywell and The Hive.

About the Data Science Solutions team
In 2018, our Data Science Solutions team grew from 4 to 9.  We are growing again from 11. We work on revenue generating projects for clients, such as predictive maintenance, time to failure, manufacturing defects.  About half of our projects have been related to vision recognition or deep learning. We are not only working on consulting projects but developing vertical solution applications that run on our Lightning platform, with embedded data mining.

Our data scientists like our team because:

• We care about “best practices”
• Have a direct impact on the company’s revenue
• Give or receive mentoring as part of the collaborative process
• Questions and challenging the status quo with data is safe
• Intellectual curiosity balanced with humility
• Present papers or projects in our “Thought Leadership” meeting series, to support continuous learning