Cloud Data Engineer / SRE Job at Randstad (Tokyo)

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

Intermediate Software Engineer SRE – AI

At PointClickCare our mission is simple: to help providers deliver exceptional c...

Location

Canada , Mississauga

Salary:

115000.00 - 128000.00 CAD / Year

PointClickCare

Expiration Date

Until further notice

Requirements

5+ years' experience in software engineering
Experience with SRE principles
Experience with AI/ML in production environments
A passion for automation, intelligent systems, and operational excellence
Strong debugging, problem-solving, and system design skills
Languages: Python, Java, Bash, Terraform
Platforms: Azure, Kubernetes, Docker
Tools: Datadog, Prometheus, AppDynamics, ELK, GitHub Actions
ML/AI: MCP framework, AI agents, Vector store, Agent orchestration (LangChain), RAG
CI/CD: Jenkins, ArgoCD, Spinnaker

Job Responsibility

Build ML-based anomaly detection and pattern recognition systems
Enhance telemetry with smart tagging and metadata for better AI insights
Develop event-driven workflows and self-healing systems using AI triggers
Automate incident response with generative AI and custom AI agent orchestration
Use time-series forecasting and predictive modelling to anticipate failures
Optimise infrastructure with AI-powered autoscaling and cost-aware resource allocation
Build scalable, fault-tolerant systems in a cloud-native environment
Participate in on-call rotations and lead incident response for critical systems
Skilled in API integration for streamlined data exchange and system connectivity
Run internal AIOps workshops and help teams adopt AI maturity models

What we offer

Benefits starting from Day 1
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition … and more

Fulltime

Cloud Scale Test Engineer

As a Cloud Scale Test Engineer, you will ensure the delivery of high performance...

Location

United States , San Jose

Salary:

90400.00 - 208500.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's or master's degree in computer science, engineering, information systems, or related field
1-4 years of experience
Strong Python Coding Skills
Passion for AI-driven automation and process optimization
Experience working on cloud platforms like AWS/Azure/Google Cloud
Experience with Observability platforms like Prometheus, Grafana. Open Search, New Relic etc
Knowledge of distributed tracing and debugging in cloud-native environments
Proficiency in GIT, Jira, Jenkins, and CI/CD tool
Basic networking knowledge
Experience in testing containerized applications and Kubernetes-based environments

Job Responsibility

Design, develop, and maintain robust test automation frameworks for cloud-scale distributed systems
Architect performance, load, and stress tests to validate system resilience under high traffic conditions
Build fault-injection and chaos engineering strategies to assess the reliability of distributed services
Develop and execute end-to-end integration, API, and system-level tests across microservices-based architectures
Implement continuous testing pipelines within CI/CD workflows to accelerate deployment cycles
Collaborate closely with development, SRE, and infrastructure teams to ensure quality best practices are embedded within the SDLC
Analyze system logs, telemetry data, and observability metrics to identify and mitigate potential failures before they impact production
Drive automation of security testing, API contract validation, and infrastructure testing
Participate in diagnosing critical production issues related to system reliability and performance

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Site Reliability Engineer SRE – ML platform

Location

United States , Sunnyvale

Salary:

Not provided

Thirdeye Data

Expiration Date

Until further notice

Requirements

6+ years of experience in ML Ops with strong knowledge in Kubernetes, Python, MongoDB and AWS
Good understanding of Apache SOLR
Proficient with Linux administration
Knowledge of ML models and LLM
Ability to understand tools used by data scientists and experience with software development and test automation
Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions (AWS)
Experience working with cloud computing and database systems
Experience building custom integrations between cloud-based systems using APIs
Experience developing and maintaining ML systems built with open-source tools
Experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc., experience with Docker and Kubernetes

Job Responsibility

Continuous Deployment using GitHub Actions, Flux, Kustomize
Design and implement cloud solutions, build MLOps on AWS cloud
Data science model containerization, deployment using Docker, VLLM, Kubernetes
Communicate with a team of data scientists, data engineers, and architects, and document the processes
Develop and deploy scalable tools and services for our clients to handle machine learning training and inference
Knowledge of ML models and LLM

Fulltime

Engineering Manager, Infrastructure

As an Engineering Manager for the Infrastructure team, you’ll lead the engineers...

Location

Canada; United States

Salary:

195000.00 - 285000.00 USD / Year

Apollo.io

Expiration Date

Until further notice

Requirements

5+ years of hands-on software or infrastructure engineering experience
2+ years of experience leading teams of senior and staff-level engineers in platform, SRE, or infrastructure domains
Proven ability to design and operate large-scale distributed systems in cloud environments (preferably GCP or AWS)
Expertise with Kubernetes, Docker, Terraform, Ubuntu, and CI/CD pipelines
Familiarity with observability tools (Grafana, Prometheus, ELK, Datadog, NewRelic) and performance tuning
Strong grounding in networking, security, and reliability principles
Experience managing infrastructure costs, availability SLAs, and high-throughput systems at scale

Job Responsibility

Lead, coach, and grow a distributed team of high-impact Infrastructure Engineers
Partner with senior engineering leadership on strategic initiatives such as cloud migration, infrastructure scaling, platform reliability, and cost efficiency
Define and implement modern operational excellence practices, including SLOs, error budgets, incident reviews, and performance monitoring
Guide technical decision-making across key areas like Kubernetes, GCP, observability, networking, CI/CD, and IaC (Terraform, Ansible)
Collaborate with AI, Data, and Product Engineering teams to ensure infrastructure scalability for ML and AI-native workloads
Run effective 1:1s, career development conversations, and quarterly performance reviews
Support recruiting efforts to attract top engineering talent across time zones

What we offer

Equity
Company bonus or sales commissions/bonuses
401(k) plan
At least 10 paid holidays per year
Flex PTO
Parental leave
Employee assistance program and wellbeing benefits
Global travel coverage
Life/AD&D/STD/LTD insurance
FSA/HSA and medical, dental, and vision benefits

Fulltime

Senior Database Engineer

We’re looking for a skilled Data Reliability Engineer to join our team for a cli...

Location

Salary:

Not provided

Zoolatech

Expiration Date

Until further notice

Requirements

5+ years of experience in Data Engineering, Database Reliability, or Infrastructure Operations
Strong expertise in PostgreSQL on AWS, including tuning, replication, backups, and HA configurations
Experience operating RDBMS databases (PostgreSQL, MySQL, etc.) and Kubernetes technologies is highly desirable
Experience provisioning and operating NoSQL databases at scale like Elasticsearch, Elastic Cache, DynamoDB, Neo4j, Mongo, Cassandra, etc.
Advanced SQL scripting and query optimization skills
Experience with data systems monitoring, alerting, and performance tuning
Strong programming/scripting in Java, Python, or Shell
Proven experience in designing or supporting complex data ecosystems
Solid understanding of cloud infrastructure (preferably AWS) and Infrastructure as Code tools (Terraform)
Familiarity with event streaming platforms (Kafka), and observability stacks (New Relic, ELK, etc.)

Job Responsibility

Own and optimize the reliability, availability, and performance of data infrastructure across production systems
Lead the design and implementation of resilient, secure, and observable data systems
Collaborate with SRE, Security, and Engineering teams to enforce data infrastructure standards and align on architectural decisions
Design and implement automation around provisioning, uptime monitoring, data refresh, integrity, backups, and disaster recovery
Support application developers with performance tuning, complex query optimization, and database design reviews
Analyze and resolve performance bottlenecks and incidents with a focus on long-term solutions
Participate in on-call rotation to support production systems and ensure high availability
Actively contribute to improving incident response and observability through metrics, alerting, and runbooks
Work with technologies such as Java, Ruby on Rails, PostgreSQL, AWS, Kafka, S3, Elasticsearch

What we offer

Paid Vacation
Sick Days
Floating Holidays
Sport/Insurance Compensation
English Classes
Charity
Training Compensation

Senior Database Engineer

We’re looking for a skilled Data Reliability Engineer to join our team for a cli...

Location

United States

Salary:

Not provided

Zoolatech

Expiration Date

Until further notice

Requirements

5+ years of experience in Data Engineering, Database Reliability, or Infrastructure Operations
Strong expertise in PostgreSQL on AWS, including tuning, replication, backups, and HA configurations
Experience operating RDBMS databases (PostgreSQL, MySQL, etc.) and Kubernetes technologies is highly desirable
Experience provisioning and operating NoSQL databases at scale like Elasticsearch, Elastic Cache, DynamoDB, Neo4j, Mongo, Cassandra, etc.
Advanced SQL scripting and query optimization skills
Experience with data systems monitoring, alerting, and performance tuning
Strong programming/scripting in Java, Python, or Shell
Proven experience in designing or supporting complex data ecosystems
Solid understanding of cloud infrastructure (preferably AWS) and Infrastructure as Code tools (Terraform)
Familiarity with event streaming platforms (Kafka), and observability stacks (New Relic, ELK, etc.)

Job Responsibility

Own and optimize the reliability, availability, and performance of data infrastructure across production systems
Lead the design and implementation of resilient, secure, and observable data systems
Collaborate with SRE, Security, and Engineering teams to enforce data infrastructure standards and align on architectural decisions
Design and implement automation around provisioning, uptime monitoring, data refresh, integrity, backups, and disaster recovery
Support application developers with performance tuning, complex query optimization, and database design reviews
Analyze and resolve performance bottlenecks and incidents with a focus on long-term solutions
Participate in on-call rotation to support production systems and ensure high availability
Actively contribute to improving incident response and observability through metrics, alerting, and runbooks
Work with technologies such as Java, Ruby on Rails, PostgreSQL, AWS, Kafka, S3, Elasticsearch

What we offer

Paid Vacation
Sick Days
Floating Holidays
Sport/Insurance Compensation
English Classes
Charity
Training Compensation

Fulltime

Principal Network Operations Site Reliability Systems Engineer

This role entails incorporating Site Reliability Engineering (SRE) concepts into...

Location

United States

Salary:

115500.00 - 266000.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor’s or master’s degree in computer science, Computer Engineering, Information Systems, or equivalent
Typically, 10+ years’ experience
Experience with cloud platforms
Experience with software development languages for console and web-based applications
Experience in User Interface (UI/UX) design
Understanding of and experience with common network infrastructure devices such as switches, routers, access points, authentication, authorization, and accounting systems and protocols, and network management utilities
Experience with network monitoring protocols
Ability to design and implement relational database solutions, time-series databases, and NoSQL database solutions
Excellent analytical and problem-solving skills
Experience in the overall architecture of software systems for products and solutions

Job Responsibility

Develop strategies and implement plans to incorporate SRE concepts into network, tool, and process designs and leads execution of those strategies and plans
Evaluates LAN, WLAN, SD-WAN, AAA, Private 5G, and other network designs for fit-for-use criteria, and designs prototype analysis tools to facilitate rapid iteration of network delivery service enhancements
Identifies and engineers new ways to leverage data from multiple platforms to identify network performance trends and detect anomalies
Prototypes machine learning anomaly detection, event signature identification, and trend identification
Automates common incident management and problem management procedures
Develops organization-wide architectures, methodologies, and prototypes for software systems design and development across multiple platforms and organizations within the Global Business Unit
Identifies and evaluates new technologies and innovations for alignment with technology roadmap and business value
creates plans for prototyping and prototype iteration
Reviews and evaluates designs and project activities for compliance with development guidelines and standards
provides tangible feedback to improve product quality and mitigate failure risk

What we offer

Comprehensive suite of benefits supporting physical, financial and emotional wellbeing
Career development programs
Inclusive environment celebrating individual uniqueness

Fulltime

Cloud Data Engineer / SRE

Randstad

Location:
Japan , Tokyo

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 04, 2026

Expiration:
April 14, 2026

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