Cloud DevOps & Data Platform Engineer Job at Abotts (Mangalore)

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Senior DevOps Engineer (Cloud & Platform Reliability)

We are seeking a highly skilled DevOps professional with strong expertise in clo...

Location

India , Pune

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Experienced in Unix/Linux environments with working knowledge of Java
Strong expertise in shell scripting and Python scripting
Proficient with GitHub and GitHub Actions for change control and automation
Hands-on experience with Terraform, Kubernetes, and Helm
Familiar with AWS cloud environments including setup, scripting, and management
Knowledge of networking concepts and troubleshooting techniques
Understanding of SQL, PL/SQL, or NoSQL databases such as Influx, PostgreSQL (Timescale), or MongoDB
Skilled in monitoring tools such as CloudWatch, Grafana, Prometheus, Dynatrace, or Instana
Experience in data analysis tools such as Splunk or Dynatrace
Good understanding of web technologies including HTTP, SSL, headers, APIs, and IP concepts

Job Responsibility

Support and operate Vodafone services and underlying DevOps components
Define and implement monitoring strategies aligned with KPIs to ensure service availability and performance
Proactively monitor systems to identify anomalies and resolve issues before impact
Manage incident troubleshooting across application and infrastructure layers, collaborating with project teams
Implement backup and restore strategies and ensure operational readiness
Support software rollouts and deployments using appropriate automation and release strategies
Handle PBI processes including resolution, coordination, and reporting
Provide 24/7 on-call support based on defined support models

What we offer

Opportunity to work on large-scale, global telecommunications platforms
Exposure to modern cloud-native technologies and DevOps tools
Collaborative and inclusive team environment across geographies
Continuous learning through real-world problem solving and innovation
Experience in managing high-availability systems within a 24/7 model

Fulltime

Cloud Platform DevOps Engineer

We are seeking an experienced (5+ years), motivated, and hands-on Cloud Platform...

Location

Canada , Mississauga

Salary:

94300.00 - 141500.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

5+ years of experience
Experience in infrastructure design, implementation, and maintenance
Agile development
Understanding of infrastructure and operational considerations for AI and Machine Learning initiatives
Hands-on experience with Kubernetes, Docker, HELM, Ansible, DevOps tools, or similar CI/CD platforms
Proficiency in scripting and automation (e.g., Python, Bash)
Track record of implementing scalable, resilient, and high-performance solutions
Strong communication and collaboration skills
Ability to mentor and guide junior team members
Proven hands-on experience with HashiCorp Vault

Job Responsibility

Lead the design, implementation, and ongoing management of secure, scalable, and resilient infrastructure components
Administer and maintain secret and certificate management solutions using HashiCorp Vault
Perform hands-on administration and optimization of database systems (PostgreSQL, Oracle, MongoDB)
Deploy, monitor, and troubleshoot data orchestration workflows using Apache Airflow
Implement and manage messaging queues such as Kafka and IBM MQ
Develop, maintain, and troubleshoot RESTful API and SOAP integrations
Implement and optimize build and deployment processes using Gradle
Design, implement, and manage container orchestration platforms with Kubernetes and Helm
Configure and manage persistent storage solutions including PVC, SONiC NAS, and S3
Set up and maintain load balancing solutions (e.g., Nginx, HAProxy, AWS ELB/ALB, Kubernetes Ingress controllers)

Fulltime

Senior DevOps Engineer - Data Platform

We are looking for a Senior DevOps Engineer - Data Platform to join the Data and...

Location

France , Paris

Salary:

Not provided

Doctolib

Expiration Date

Until further notice

Requirements

More than 5 years of experience as a DataOps Engineer or in a similar role, with a proven track record of building and maintaining complex data infrastructures
Strong proficiency in data engineering and infrastructure tools and technologies (Kubernetes, ArgoCD, Crossplane)
Expertise in programming languages like Python
Familiar with cloud infrastructure and services, preferably GCP, and have experience with infrastructure-as-code tools such as Terraform
Excellent problem-solving skills with a focus on identifying and resolving data infrastructure bottlenecks and performance issues

Job Responsibility

Maintain Data Product Controller to give stakeholders full responsibility for managing their data products in an automated way (via CI/CD and infrastructure as code) securely, reliably, governed and with full ownership
Maintain Data and AI Platform orchestrator (Dagster) to give the possibility to Data Product developers to orchestrate their Data Product in a decentralized way (Data Mesh), by owning their release process and job pipelines
Monitor data platform for performance and reliability, identify and troubleshoot issues, and implement proactive solutions to ensure availability
Offer observability components to enable developer teams and data product consumers to have the right level of knowledge of costs, data quality and data lineage
Monitor platform costs, identify optimizations and saving opportunities while collaborating with data engineers, data scientists, and other stakeholders

What we offer

Free comprehensive health insurance for you and your children
Parent Care Program: receive one additional month of leave on top of the legal parental leave
Free mental health and coaching services through our partner Moka.care
For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
Work from EU countries and the UK for up to 10 days per year, thanks to our flexibility days policy
Up to 14 days of RTT
A subsidy from the work council to refund part of the membership to a sport club or a creative class
Lunch voucher with Swile card

Fulltime

Backend Data Engineer — Data Platform

We're looking for an engineer to support hands-on implementation and migration w...

Location

Poland

Salary:

140.00 - 170.00 PLN / Hour

Devire

Expiration Date

Until further notice

Requirements

Strong Java development skills, with experience in data platform or data engineering contexts
Practical experience with at least one JVM-based data processing framework — Flink experience is a plus
Beam, Dataflow, or Spark also relevant
Comfortable with SQL and cloud data analytics platforms, particularly BigQuery
DevOps is part of your day-to-day: you work with cloud infrastructure, containerised applications, and are familiar with Kubernetes basics
Experience working with data engineering pipelines in Scala and/or Python
You write quality code and understand what it means to ship reliably in a production environment
You can work autonomously in an ambiguous environment and move quickly without waiting to be directed

Job Responsibility

Support hands-on implementation and migration work as we evolve our data processing stack
Contribute to company wide migration efforts and platform development
Embedded in a team in Data Infrastructure PA, contributing to hands-on engineering work including large-scale pipeline migrations — validating performance and cost outcomes and helping move workloads to our evolving stack
Contribute to platform development across our Flink platform, Lakehouse architecture and beyond

What we offer

Access to benefits package at attractive prices (medical care, Multisport card, life insurance, cafeteria system)
Long-term cooperation

Fulltime

Platform Engineer - Data Science Platform

Location

United States , Columbus, OH or Dallas, TX or Minneapolis, MN

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science or a related field, or equivalent practical experience
5+ years of experience supporting Data Science infrastructure
5+ years of hands-on experience with AWS-hosted Data Lake, Data Science, or AI/ML platforms
5+ years of working knowledge with Kubernetes
AWS services such as SageMaker, Glue, Lambda, Athena
CI/CD tools such as Azure DevOps
Infrastructure as Code tools such as Terraform
Container technologies including Docker and Amazon ECR
Security tools such as AQUA and Kenna
Experience producing technical documentation and written solutions

Job Responsibility

Support and maintain ongoing Data Science infrastructure operations
Design, build, and deploy AWS environments using automated CI/CD pipelines
Manage and scale large, secure cloud environments to support current and future Data Science initiatives
Implement, own, and improve the image management lifecycle process
Assist with the setup and ongoing management of AWS accounts dedicated to the Data Science platform
Develop and maintain infrastructure pipelines using CI/CD tools (e.g., Azure DevOps)
Build and manage environments using Infrastructure as Code (IaC) tools such as Terraform
Develop scripts and applications using programming languages such as Python
Manage and support database technologies including Athena, Oracle, MySQL, and PostgreSQL
Leverage AWS services to enable Data Lake, Data Science, and AI/ML workloads

What we offer

medical
vision
dental
life and disability insurance
401(k) plan

Fulltime

Data Engineer (Big Data, Cloud - AWS, Databricks) - Assistant Vice President

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Scala, Spark/Pyspark is must, Hadoop ( BIG Data ), + AWS,Databricks
8 to 11 years’ experience implementing data-intensive solutions using agile methodologies
Experience of relational databases and using SQL for data querying, transformation and manipulation
Experience of modelling data for analytical consumers
Ability to automate and streamline the build, test and deployment of data pipelines
Experience in cloud native technologies and patterns
A passion for learning new technologies, and a desire for personal growth, through self-study, formal classes, or on-the-job training
Excellent communication and problem-solving skills
An inclination to mentor
an ability to lead and deliver medium sized components independently

Job Responsibility

Developing and supporting scalable, extensible, and highly available data solutions
Deliver on critical business priorities while ensuring alignment with the wider architectural vision
Identify and help address potential risks in the data supply chain
Follow and contribute to technical standards
Design and develop analytical data models

Fulltime

Public Cloud Engineer - GCP (Google Cloud Platform)

The Lead Public Cloud Engineer - GCP is responsible for advanced technical suppo...

Location

United States , Plano

Salary:

68000.00 - 78202.00 USD / Year ▼

NTT DATA

Expiration Date

Until further notice

Requirements

5+ years of hands-on experience in cloud engineering, operations, or support
3+ years multi-cloud experience (must have hands-on in at least two of the four of GCP/AWS/Azure/OCI
familiarity in all is preferred
GCP cloud is mandatory)
Bachelor’s degree (or equivalent experience) in Computer Science, IT, Engineering, or a related field
At least two of the following certifications (or equivalent experience): Google Professional Cloud Architect / Engineer, AWS Certified Solutions Architect / SysOps Administrator, Microsoft Certified: Azure Administrator Associate or Solutions Architect Expert, Oracle Cloud Infrastructure Architect Associate/Professional
(Preferred) DevOps or automation certifications (e.g., Kubernetes, Terraform)
(Preferred) ITIL Foundation or other support framework knowledge
Direct experience in managed services/NOC/SOC/MSP environments is a plus
In-depth expertise with provisioning, configuring, securing, supporting, and optimizing cloud-native and hybrid workloads in GCP, AWS, Azure, and/or OCI

Job Responsibility

Support Customer Self-Provision cloud instances across GCP, AWS, Azure and OCI with security guardrail and backend deployment
Monitor, troubleshoot, and resolve incidents, performance issues, and service outages in production and staging environments
Implement and maintain monitoring, alerting, and logging solutions to ensure high availability and reliability
Lead root cause analysis and post-mortem documentation for major incidents
Execute patch management, upgrades, and regular maintenance activities
Develop and maintain backup, disaster recovery, and failover strategies and operations
Participate in on-call rotation and after-hours support as required
Develop and maintain Infrastructure as Code (IaC) templates using tools such as Terraform, CloudFormation, ARM, or OCI Resource Manager
Use scripting (e.g., Python, Bash, PowerShell) to automate repetitive tasks and operational processes
Champion the use of configuration management tools and assist in DevOps pipeline integrations

What we offer

medical, dental, and vision insurance
flexible spending or health savings account
life and AD&D insurance
short and long term disability coverage
paid time off
employee assistance
participation in a 401k program with company match
additional voluntary or legally-required benefits

Fulltime

Fabric Data Engineer / Azure Data Engineer

Location

Salary:

Not provided

Myticas Consulting

Expiration Date

Until further notice

Requirements

Hands-on Data Engineer with strong Microsoft Fabric experience, including Lakehouse, OneLake, Data Factory/Pipelines, Warehousing, and Fabric ecosystem services
Strong Python development skills for data engineering, data transformation, automation, and pipeline development
Experience working with Microsoft Fabric Lakehouse architecture, including data ingestion, transformation, storage, and analytics enablement
Strong understanding of data engineering fundamentals, including data modeling, partitioning, optimization, and performance tuning
Experience supporting Azure Data Platform technologies, including Azure Data Factory, Azure Synapse Analytics, Azure Storage, and related services
Ability to work within large-scale enterprise data environments supporting multiple business units and data domains
Knowledge of Medallion Architecture (Bronze, Silver, Gold) and practical implementation of modern data lakehouse solutions
Experience integrating and transforming structured and semi-structured data sources including APIs, databases, JSON, CSV, and cloud-based systems
Understanding of Fabric operational monitoring, capacity consumption monitoring, and platform governance best practices
Ability to clearly explain and demonstrate the distinction between Fabric Files, Tables, Lakehouses, Warehouses, and OneLake storage concepts

Job Responsibility

Design, build, and support scalable ETL/ELT data pipelines across enterprise Azure environments
Ability to support integration across multiple systems, applications, databases, and cloud platforms

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Cloud DevOps & Data Platform Engineer

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