DevOps Engineer

Cloud Technical Architect / Data DevOps Engineer

The role involves designing, implementing, and optimizing scalable Big Data and ...

Location

United Kingdom , Bristol

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

An organised and methodical approach
Excellent time keeping and task prioritisation skills
An ability to provide clear and concise updates
An ability to convey technical concepts to all levels of audience
Data engineering skills – ETL/ELT
Technical implementation skills – application of industry best practices & designs patterns
Technical advisory skills – experience in researching technological products / services with the intent to provide advice on system improvements
Experience of working in hybrid environments with both classical and DevOps
Excellent written & spoken English skills
Excellent knowledge of Linux operating system administration and implementation

Job Responsibility

Detailed development and implementation of scalable clustered Big Data solutions, with a specific focus on automated dynamic scaling, self-healing systems
Participating in the full lifecycle of data solution development, from requirements engineering through to continuous optimisation engineering and all the typical activities in between
Providing technical thought-leadership and advisory on technologies and processes at the core of the data domain, as well as data domain adjacent technologies
Engaging and collaborating with both internal and external teams and be a confident participant as well as a leader
Assisting with solution improvement activities driven either by the project or service
Support the design and development of new capabilities, preparing solution options, investigating technology, designing and running proof of concepts, providing assessments, advice and solution options, providing high level and low level design documentation
Cloud Engineering capability to leverage Public Cloud platform using automated build processes deployed using Infrastructure as Code
Provide technical challenge and assurance throughout development and delivery of work
Develop re-useable common solutions and patterns to reduce development lead times, improve commonality and lowering Total Cost of Ownership
Work independently and/or within a team using a DevOps way of working

What we offer

Extensive social benefits
Flexible working hours
Competitive salary
Shared values
Equal opportunities
Work-life balance
Evolving career opportunities
Comprehensive suite of benefits that supports physical, financial and emotional wellbeing

Fulltime

Data (DevOps) Engineer

Ivy Partners is a Swiss consulting firm dedicated to helping businesses navigate...

Location

Switzerland , Genève

Salary:

Not provided

IVY Partners

Expiration Date

Until further notice

Requirements

Substantial experience with Apache Airflow in complex orchestration and production settings
Advanced skills in AWS, Databricks, and Python for data pipelines, MLOps tooling, and automation
Proven experience deploying volumetric and sensitive pipelines
Confirmed to senior level
Highly autonomous, capable of working in a critical and structuring environment
Not just a team player but someone who challenges the status quo, proposes solutions, and elevates the team
Communicate clearly and possess a strong sense of business urgency

Job Responsibility

Design and maintain high-performance data pipelines
Migrate large volumes of historical and operational data to AWS
Optimize data flows used by machine learning models for feature creation, time series, and trade signals
Ensure the quality, availability, and traceability of critical datasets
Collaborate directly with data scientists to integrate, monitor, and industrialize models: price prediction models, optimization algorithms, and automated trading systems
Support model execution and stability in production environments utilizing Airflow and Databricks
Build, optimize, and monitor Airflow DAGs
Automate Databricks jobs and integrate CI/CD pipelines (GitLab/Jenkins)
Monitor the performance of pipelines and models, and address incidents
Deploy robust, secure, and scalable AWS data architectures

What we offer

Supportive environment where everyone is valued, with training and career advancement opportunities
Building a relationship based on transparency, professionalism, and commitment
Encouraging innovation
Taking responsibility

Data Platform Engineer

Data Platform Engineers at Adyen build the foundational layer of tooling and pro...

Location

Netherlands , Amsterdam

Salary:

Not provided

Adyen

Expiration Date

Until further notice

Requirements

Fluency in Python
Experience developing and maintaining distributed data and compute systems like Spark, Trino, Druid, etc
Experience developing and maintaining DevOps pipelines and development ecosystems
Experience developing and maintaining real-time and batch data pipelines (via Kafka, Spark streaming)
Experience with Kubernetes ecosystem (k8s, docker), and/or Hadoop ecosystems (Hive, Yarn, HDFS, Kerberos)
Team player with strong communication skills
Ability to work closely with diverse stakeholders

Job Responsibility

Develop and maintain scalable and high performance big data platforms
Work with distributed systems in all shapes and flavors (databases, filesystems, compute, etc.)
Identify opportunities to improve continuous release and deployment environments
Build or deploy tools to enhance data discoverability through the collection and presentation of metadata
Introduce and extend tools to enhance the quality of our data, platform-wide
Explore and introduce technologies and practices to reduce the time to insight for analysts and data scientists
Develop streaming processing applications and frameworks
Build the foundational layer of tooling and processes for on-premise Big Data Platforms
Collaborate with data engineers and ML scientists and engineers to build and roll-out tools
Develop and operate multiple big data platforms

Fixed Income Data Python Platform Engineer

Fixed Income Data Python Platform Engineer position at Citi, building and mainta...

Location

Canada , Mississauga

Salary:

94300.00 - 141500.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

5 years+ of hands-on experience in building an enterprise scale highly componentized application using Python incl. web frameworks like Django or Flask and data science tools - Pandas, Polars, Streamlit, Airflow
Experience with Docker and Kubernetes/Openshift
Experience with DevOps technologies - Ansible, Chef
Experience working in a Continuous Integration and Continuous Delivery environment and familiar with Jenkins, TeamCity, Code Quality Tools - SonarQube, etc.
Proficient in industry standard best practices such as Design Patters, Coding Standards, Coding modularity, Prototypes etc.
Unit testing frameworks - PyTest
Understanding of the SDLC lifecycle for Agile & Waterfall methodologies
Excellent written and oral communication skills
Bachelor's degree/University degree or equivalent experience

Job Responsibility

Analyzes system requirements, including identifying program interactions and appropriate interfaces between impacted components and sub systems
Participate in Sprint Planning, Tasking and Estimation of the assigned work for Python platform
Participate in component and service design for Python analytical services
Work on bug resolution and application improvements, such as performance and maintainability
May occasionally work a non-standard shift including nights and/or weekends and/or have on-call responsibilities
Stay abreast with new trends in open source tooling and champion tools that could help improve efficiency of the Fixed Income quant and data science community
Work closely with quants and data scientists to help them use platform capabilities and develop efficient analytical tools
Continuously look to automate manual touchpoints in the technology delivery pipeline

Fulltime

Senior Software Engineer – DevOps Platform

We’re looking for a Senior Software Engineer to join our Devops team, where you ...

Location

United States , Palo Alto; New York City

Salary:

172000.00 - 228000.00 USD / Year

Wealthfront

Expiration Date

Until further notice

Requirements

Extensive experience with running and troubleshooting modern Linux systems and services in production
6+ years of experience developing reliable production-grade software in Java, Go, or other similar languages
Proficiency with at least one automation technology such as Terraform, Chef, or Puppet
Successfully designed and deployed mission-critical complex distributed systems
Excellent critical thinking and communications skills with a desire to both learn from and educate your peers
A BS or MS in Computer Science or an Engineering field, or equivalent professional experience

Job Responsibility

Maintain our core infrastructure by writing software to automate application deployment, configure our infrastructure, and manage critical services such as our databases
Ensure that mission critical services operate reliably by triaging and fixing operational issues as an on-call engineer, participating in post-mortems, and implementing improvements to prevent future issues
Design, implement, and deploy internal tools and services to accelerate productivity of the wider Engineering team and enable direct ownership of operations
Help manage our server hardware in our physical data centers which may occasionally include travel to our Bay Area or New Jersey data centers for onsite projects
Be involved in key decisions regarding the evolution of our infrastructure
Mentor junior members of the team

What we offer

medical
vision
dental
401K plan
generous time off
parental leave
wellness reimbursements
professional development
employee investing discount

Fulltime

Data Engineer

The Data Engineer is accountable for developing high quality data products to su...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

First Class Degree in Engineering/Technology/MCA
5 to 8 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
ETL: Hands on experience of building data pipelines. Proficiency in two or more data integration platforms such as Ab Initio, Apache Spark, Talend and Informatica
Big Data: Experience of ‘big data’ platforms such as Hadoop, Hive or Snowflake for data storage and processing

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

Data Engineer

The Data Engineer is accountable for developing high quality data products to su...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

First Class Degree in Engineering/Technology/MCA
3 to 4 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
ETL: Hands on experience of building data pipelines. Proficiency in at least one of the data integration platforms such as Ab Initio, Apache Spark, Talend and Informatica
Big Data: Exposure to ‘big data’ platforms such as Hadoop, Hive or Snowflake for data storage and processing

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

BioCatch is the leader in Behavioral Biometrics, a technology that leverages mac...

Location

Israel , TLV

Salary:

Not provided

BioCatch

Expiration Date

Until further notice

Requirements

5+ Years of Experience: Demonstrated experience as a DevOps professional, with a strong focus on big data environments, or Data Engineer with strong DevOps skills
Data Components Management: Experiences managing and designing data infrastructure, such as Snowflake, PostgreSQL, Kafka, Aerospike, and Object Store
DevOps Expertise: Proven experience creating, establishing, and managing big data tools, including automation tasks. Extensive knowledge of DevOps concepts and tools, including Docker, Kubernetes, Terraform, ArgoCD, Linux OS, Networking, Load Balancing, Nginx, etc.
Programming Skills: Proficiency in programming languages such as Python and Object-Oriented Programming (OOP), emphasizing big data processing (like PySpark). Experience with scripting languages like Bash and Shell for automation tasks
Cloud Platforms: Hands-on experience with major cloud providers such as Azure, Google Cloud, or AWS

Job Responsibility

Data Architecture Direction: Provide strategic direction for our data architecture, selecting the appropriate componments for various tasks. Collaborate on requirements and make final decisions on system design and implementation
Project Management: Manage end-to-end execution of high-performance, large-scale data-driven projects, including design, implementation, and ongoing maintenance
Cost Optimization: Monitor and optimize cloud costs associated with data infrastructure and processes
Efficiency and Reliability: Design and build monitoring tools to ensure the efficiency, reliability, and performance of data processes and systems
DevOps Integration: Implement and manage DevOps practices to streamline development and operations, focusing on infrastructure automation, continuous integration/continuous deployment (CI/CD) pipelines, containerization, orchestration, and infrastructure as code. Ensure scalable, reliable, and efficient deployment processes

Fulltime

DevOps Engineer - Data Platforms

Alter Domus

Location:
India , Hyderabad

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 11, 2026

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