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automation engineer reliability maintenance engineering

Amazon

<div>
 
 Description
 
 
 
 Join us in the Amazon Reliability Maintenance Engineering team. We maintain and optimize technologies in the Global Amazon Warehouse &amp; Delivery Network.
 
 
 We are looking for motivated, customer-focused people who want to join our team as an Automation Engineer (AE).
 
 
 The focus of the AE role is to fault find, troubleshoot and improve controls solutions for automated material handling equipment such as conveyors, sortation systems, scanners, cameras, print and apply systems, scales, Human-Machine Interface (HMI) systems, and control cabinets. The AE will also provide training to the Engineering Technicians on device troubleshooting and preventive maintenance.
 
 
 Key job responsibilities
 
 
 <ul>
 <li>
 Be the site level Subject Matter Expert (SME) for all controls systems and sensors within the building. Work in a hands-on manner to actively monitor, fault find and repair systems in order to provide a high level of equipment availability to internal customers.
 </li>
 <li>
 Train technicians in the basics of control systems fault finding in order to raise the level of knowledge within the site.
 </li>
 <li>
 Work within the AMET Controls network to enhance the capability to monitor Material Handling Equipment (MHE) metrics and provide visualization and data to internal customers by means of troubleshooting and prioritizing.
 </li>
 <li>
 Actively participate in or own continuous improvement projects coordinated by the AMET Controls network.
 </li>
 <li>
 Work with IT, AMET Controls Engineering and Operations Engineering to ensure all systems are correctly documented and that accurate backup libraries are maintained.
 </li>
 <li>
 Work alongside global teams to support the installation and commission of new equipment.
 </li>
 <li>
 Support other sites in the AMET network as required.
 </li>
 <li>
 Interpreting both mechanical and electrical drawings plus understanding and developing improvement strategies for code conforming to IEC 61131-3.
 </li>
 <li>
 Perform the Process Improvement required changes in the PLC code ,SCADA and OEE systems following the change management process
 </li>
 <li>
 Ensure Equipment control systems reliability and ensure regular/documented back up collection for the PLC codes
 </li>
 <li>
 Perform the required root cause analysis after unplanned stoppages related to control systems and ensure CPA closure on time
 </li>
 <li>
 Work jointly with OEMs technical remote support teams for if any support required
 
 
 </li>
 </ul>
 A day in the life
 
 
 <ul>
 <li>
 Daily Monitor and respond to RME customers
 </li>
 <li>
 Requests through trouble ticketing system and always show customer obsession behavior.
 </li>
 <li>
 Plan for PLC code, SCADA and OEE change following the standard change management process
 </li>
 <li>
 Train In house RME Technicians on basic Automation troubleshooting skills.
 </li>
 <li>
 Coordinate scoped projects and best practices implementation.
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Experience with PLC controlled automation and issue diagnosis in a continuous process or production environment
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience supporting a wide range of different conveyors and sortation systems
 
 
 </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - Souq.com for E-Commerce LLC
 
 
 Job ID: A3164498
</div>

Automation Engineer, Reliability Maintenance Engineering

Valeo

<div>
 
 Responsibilities
 
 
 
 Deploy, and maintain secure cloud infrastructure primarily on GCP (Google Cloud Platform) and AWS, ensuring seamless integration between services.
 
 
 Manage and optimize GKE (Google Kubernetes Engine) clusters for high-availability AI applications and microservices.Infrastructure as Code: Build and enforce Terraform strategies to provision and manage infrastructure, ensuring environments are reproducible and version-controlled.
 
 
 
 CI/CD &amp; Software Verification
 
 
 
 Design and implement advanced CI/CD workflows using GitHub Actions. Move beyond simple deployments to create intelligent automation.
 
 
 Build robust verification pipelines that include automated testing, linting, security scanning, and quality gates before production release.
 
 
 Streamline the release process for backend applications and frontend applications, ensuring "one-click" reliability.
 
 
 Oversee the deployment, maintenance, and backup strategies for PostgreSQL (transactional) and ClickHouse (analytical) databases.
 
 
 Implement comprehensive monitoring and logging solutions (Prometheus, Grafana, Cloud Ops) to ensure system health, performance, and rapid incident response.
 
 
 Implement security best practices (IAM, VPC configuration, encryption) to protect sensitive AI data and intellectual property.
 
 
 
 Qualifications
 
 
 
 Education:
 
 
 B.Sc. or M.Sc. in Computer Science, Computer Engineering, or a related technical field.
 
 
 Professional Experience
 
 
 5+ years of relevant experience in DevOps, Cloud Engineering, or Site Reliability Engineering (SRE).
 
 
 Proven experience acting as a Senior or Lead engineer, guiding architectural decisions.
 
 
 
 Technical Requirements
 
 
 
 Advanced hands-on experience with GCP (specifically GKE, VPC, IAM) and AWS.
 
 
 Mastery of Docker and Kubernetes administration.
 
 
 Strong proficiency in Terraform.
 
 
 Expert knowledge of GitHub Actions for building test, build, and deploy pipelines.
 
 
 Experience managing PostgreSQL and ClickHouse
 
 
 Deep understanding of Linux System Administration.
 
 
 Experience inwith AI/ML lifecycle tools (Kubeflow, MLflow, Vertex AI
 
 
 Strong proficiency in Python and Bash scripting.
 
 
 Knowledge of Go or Javascript/Node.js is a plus .
 
 
 Familiarity with DevSecOps tools and practices
 
 
 Ability to design long-term solutions rather than quick fixes.
 
 
 Excellent ability to explain complex cloud concepts to Data Scientists and business stakeholders.
 
 
 Comfortable working in a fast-paced environment with evolving requirements.
 
 
 Fluent English is a must.
</div>

Senior DevOps Engineer, AI4ALL

Brightly Software

<div>
 Siemens Digital Industries Software is a global technology powerhouse. With some of the best-known brands in the world, Siemens has stood for engineering excellence, innovation, quality, and reliability for more than 175 years.
 
 
 We are looking for a
 
 Senior Cloud Engineer - FinOps
 
 to join our Brightly team in Cairo, Egypt.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Collaborate cross-functionally with both technical teams and finance/business stakeholders to translate infrastructure needs and changes into financial impacts.
 </li>
 <li>
 Own the cost management processes for cloud environments (AWS/Azure), balancing performance, reliability, and spending.
 </li>
 <li>
 Design and implement robust tagging and account structures to ensure accuracy and granularity in cost attribution.
 </li>
 <li>
 Build automation and custom reports from AWS Cost &amp; Usage Reports (CUR) for enhanced visibility and actionable insights.
 </li>
 <li>
 Develop and maintain BI dashboards using tools such as Power BI, including work with DAX where needed.
 </li>
 <li>
 Script automation for cost reporting using Python and/or Bash.
 </li>
 <li>
 Drive adoption of optimization practices: rightsizing, storage tiering, spot instance usage, and autoscaling strategies to improve value.
 </li>
 <li>
 Leverage AWS cost management tools (Cost Explorer, CUR, Budgets, Savings Plans, RI utilization) for effective forecasting and analysis.
 </li>
 <li>
 Advocate and educate around the FinOps Framework, cloud cost culture, unit economics, and accountability practices.
 </li>
 <li>
 Regularly communicate cost insights, potential savings, and opportunities to both technical and non-technical team members.
 
 
 </li>
 </ul>
 
 Requirements
 
 :
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Computer Engineering, or related discipline, or equivalent experience.
 </li>
 <li>
 Experience as a cloud engineer and/or DevOps specialist supporting AWS/Azure/Google Cloud environments.
 </li>
 <li>
 Demonstrated ability to manage cloud infrastructure with cost, performance, and reliability in mind.
 </li>
 <li>
 Experience explaining technical cloud matters in business and financial terms to non-technical stakeholders.
 </li>
 <li>
 Relevant certifications (one or more is highly preferred): Cloud Provider Certs (AWS, Azure, Google Cloud) - AWS Certified Solutions Architect (Associate or Professional) - AWS Certified Cloud Practitioner - Azure Administrator / Google Cloud Engineer - FinOps Certified Practitioner (FOCP) or FinOps Certified Professional.
 </li>
 <li>
 Experience with AWS CUR files and automation/reporting methodologies.
 </li>
 <li>
 Familiarity with BI tools (Power BI) and DAX for dashboard creation.
 </li>
 <li>
 Strong scripting ability in Python and/or Bash.
 </li>
 <li>
 Proven knowledge of AWS billing and cost optimization tools.
 </li>
 <li>
 Experience designing tagging/account structures and extracting data via APIs.
 </li>
 <li>
 Well-versed in FinOps methodologies: rightsizing, storage tiering, spot instances, autoscaling, cost accountability.
 
 
 </li>
 </ul>
 We&rsquo;re Siemens. A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us shape tomorrow!
 
 
 We offer a comprehensive reward package which includes a competitive basic salary, bonus scheme and generous holiday allowance.
 
 
 Siemens is an equal opportunities employer and do not discriminate unlawfully on any grounds. We are committed to providing access and equal opportunity.
 
 
 #Brightly
 
 
</div>

Senior Cloud Engineer – FinOps

geidea

<div>
 
 Geidea Established in 2008, Geidea epitomizes customer focused empowerment and commercial success through continuous innovation.
 
 
 Geidea makes best in class digital payment solutions available for all by attracting and leveraging the best creative &amp; entrepreneurial talent in the market
 
 
 Our solutions give any business the chance to get ahead and reach for more no matter their size or maturity.
 
 
 Our technology mirrors our people - Smart, Innovative &amp; Forward Thinking
 
 
 
 www.geidea.net
 
 
 
 
 
 
 To maintain a competitive advantage as we grow, we are currently looking for a new "
 
 Senior Site Reliability Engineer
 
 "
 
 
 
 
 
 
 Job purpose:
 
 
 
 
 
 <ul>
 <li>
 The Senior Specialist Site Reliability Engineering (SRE) is responsible for ensuring the reliability, availability, scalability, and performance of critical production systems. This role combines software engineering and systems engineering to build and maintain highly resilient platforms while driving automation, monitoring, and continuous improvement across infrastructure and applications.
 </li>
 <li>
 The position plays a key role in reducing operational risk, improving system observability, and enhancing service stability in a 24/7 environment.
 </li>
 <li>
 Design proactive alerting strategies.
 </li>
 <li>
 Build dashboards for infrastructure, applications, and business KPIs.
 </li>
 <li>
 Analyze performance bottlenecks and system anomalies.
 </li>
 </ul>
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 
 1. Reliability &amp; Availability
 
 </li>
 <li>
 Ensure high availability and performance of production systems.
 </li>
 <li>
 Define and manage SLAs, SLOs, and SLIs.
 </li>
 <li>
 Lead incident management and root cause analysis (RCA).
 </li>
 <li>
 Implement proactive measures to prevent recurring incidents.
 </li>
 <li>
 
 2. Monitoring &amp; Observability
 
 </li>
 <li>
 Design and maintain monitoring solutions (Infrastructure, Application, Database).
 </li>
 <li>
 Develop dashboards and alerts using tools such as Cloud watch,
 
 Grafana
 
 , Prometheus, ELK, etc.
 </li>
 <li>
 Improve logging, tracing, and metrics collection.
 </li>
 <li>
 Reduce alert noise and improve actionable monitoring.
 </li>
 <li>
 
 3. Automation &amp; DevOps Practices
 
 </li>
 <li>
 Automate operational tasks using scripting (PowerShell, Bash, Python).
 </li>
 <li>
 Implement CI/CD pipelines and deployment automation.
 </li>
 <li>
 Apply Infrastructure as Code (IaC) using Terraform, Ansible, or similar tools.
 </li>
 <li>
 Improve release reliability and reduce deployment risks.
 </li>
 <li>
 
 4. Incident &amp; Problem Management
 
 </li>
 <li>
 Participate in 24/7 on-call rotation.
 </li>
 <li>
 Lead Major Incident handling and communication.
 </li>
 <li>
 Conduct post-incident reviews and drive corrective actions.
 </li>
 <li>
 Collaborate with application and infrastructure teams for permanent fixes.
 </li>
 <li>
 
 5. Performance &amp; Capacity Management
 
 </li>
 <li>
 Conduct system performance tuning.
 </li>
 <li>
 Monitor capacity trends and forecast scaling needs.
 </li>
 <li>
 Optimize resource utilization across environments.
 </li>
 <li>
 
 6. Security &amp; Compliance
 
 </li>
 <li>
 Support security hardening initiatives.
 </li>
 <li>
 Ensure compliance with IT governance and audit requirements.
 </li>
 <li>
 Implement secure configuration standards.
 </li>
 </ul>
 
 
 
 
 
 Technical Requirements:
 
 
 
 
 
 <ul>
 <li>
 Strong knowledge of Linux and/or Windows Server environments.
 </li>
 <li>
 Experience with cloud platforms (AWS, Azure, or GCP).
 </li>
 <li>
 Hands-on experience with monitoring tools (Grafana, Prometheus, Zabbix, etc.).
 </li>
 <li>
 Experience with containerization (Docker, Kubernetes).
 </li>
 <li>
 Knowledge of networking fundamentals (TCP/IP, DNS, Load Balancers).
 </li>
 <li>
 Experience with scripting and automation.
 </li>
 <li>
 Understanding of database systems (SQL Server, MySQL, PostgreSQL).
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 <ul>
 <li>
 5 Years of experience
 </li>
 <li>
 Bachelor&rsquo;s degree in IT or engineering
 </li>
 <li>
 Strong knowledge of Linux and/or Windows Server environments.
 </li>
 <li>
 Experience with cloud platforms (AWS, Azure, or GCP).
 </li>
 <li>
 Hands-on experience with monitoring tools (Grafana, Cloud watch, Prometheus, Zabbix, etc.).
 </li>
 <li>
 Experience with containerization (Docker, Kubernetes).
 </li>
 <li>
 Knowledge of networking fundamentals (TCP/IP, DNS, Load Balancers).
 </li>
 <li>
 Experience with scripting and automation.
 </li>
 <li>
 Understanding of database systems (SQL Server, MySQL, PostgreSQL).
 </li>
 </ul>
 
 
 
 
 
 Our values guide how we think and act - They describe what we care about the most
 
 
 
 
 C
 
 ustomer first - It&rsquo;s embedded in our design thinking and customer service approach
 
 
 
 O
 
 pen - Openness allows us to constantly improve and evolve
 
 
 
 R
 
 eal - No jargon and no excuses!
 
 
 
 B
 
 old - Constantly challenging ourselves and our way of thinking.
 
 
 
 R
 
 esilient &ndash; If we fail, we bounce back stronger than before.
 
 
 
 C
 
 ollaborative - We know that we can achieve a lot more as a team.
 
 
 We are changing lives by constantly striving for a better solution.
 
</div>

Senior Site Reliability Engineer

SITA

<div>
 
 Overview
 
 
 
 WELCOME TO SITA
 
 
 At SITA, we keep airports moving, airlines flying smoothly, and borders open. Our technology and communication innovations power the success of the global air travel industry.
 
 
 You'll find us in 95% of international airports, working closely with over 2,500 transportation and government clients. Each partnership brings unique challenges, and we thrive on delivering fresh solutions and cutting-edge tech to keep operations running like clockwork. We don't just move the world forward-we're proud to be recognized as a
 
 Great Place to Work
 
 &reg; by 79% of our employees and certified in most of our growing locations. Here, we feel empowered, supported, and inspired to grow.
 
 
 Are you ready to love your job?
 
 
 The adventure begins right here, with you, at SITA.
 
 
 
 About The Role &amp; Team
 
 
 
 
 
 
 
 Site Reliability Engineer/ Expert/ Specialist you will be responsible for the proactive support of products so that there is high product performance that is continuously improved. Responsible for identifying and resolving the root causes of operational incidents, implementing solutions to improve stability and prevent recurrence. Manages the creation and maintenance of the event catalog to trigger events and develop both manual remediation approaches and automated workflows to resolve alerts. Oversee the deployment of IT services and solutions ensuring successful integration with minimal disruption. Focuses on operational automation and integration to enhance efficiency and collaboration between development and operations within service operations.
 
 
 
 
 
 
 
 What You Will Do
 
 
 
 <ul>
 <li>
 Define, build, and maintain support systems to ensure high availability and performance.
 </li>
 <li>
 Handle complex cases for the PSO.
 </li>
 <li>
 Implement automation for system provisioning, self-healing, auto-recovery, deployment, and monitoring.
 </li>
 <li>
 Perform incident response and root cause analysis (RCA) for critical system failures.
 </li>
 <li>
 Monitor system performance and establish Service-Level Indicators (SLIs) and Service-Level Objectives (SLOs).
 </li>
 <li>
 Collaborate with Development and Operations to integrate reliability best practices, including zero-downtime architecture.
 </li>
 <li>
 Proactively identify and remediate performance issues.
 </li>
 <li>
 Work closely with Product T&amp;E, ICE, and Service Architects for new product productization as SGS technical expert.
 </li>
 <li>
 Coordinate with internal and external stakeholders to improve service performance and ensure high availability.
 </li>
 <li>
 Ensure Operations readiness to support new products.
 </li>
 <li>
 Accountable within SGS for in-scope product availability and performance.
 </li>
 <li>
 Problem Management
 </li>
 <li>
 Conduct thorough problem investigations and root cause analyses to diagnose recurring incidents and service disruptions.
 </li>
 <li>
 Coordinate with Incident Management teams and collaborate with PSOs and Engineering/Product teams to implement permanent solutions.
 </li>
 <li>
 Monitor effectiveness of problem resolution activities and provide regular reporting to ensure continuous improvement.
 </li>
 <li>
 Event Management
 </li>
 <li>
 Define, build, and maintain an event catalog specifying active events, thresholds, and remediation actions; optimize it for efficiency.
 </li>
 <li>
 Develop event response protocols, provide training, and ensure efficient incident handling.
 </li>
 <li>
 Customer &amp; Operational Support
 </li>
 <li>
 Collaborate with Customer Success Managers to implement initiatives that enhance customer satisfaction and retention.
 </li>
 <li>
 Prepare reports, documentation, and communication materials covering customer metrics, updates, and product changes.
 </li>
 <li>
 Identify and implement improvements in internal processes and workflows.
 </li>
 <li>
 Contribute to knowledge management resources such as FAQs and training materials.
 </li>
 <li>
 Data Steward Responsibilities
 </li>
 <li>
 Implement data governance policies defined by the Data Owner and ensure adherence to standards.
 </li>
 <li>
 Monitor data quality, consistency, and compliance on an ongoing basis.
 </li>
 <li>
 Act as a Subject Matter Expert (SME) for data within the assigned area, providing guidance and answering queries.
 
 
 </li>
 </ul>
 
 
 
 
 
 Who You Are
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Technology, Engineering, or a related field.
 </li>
 <li>
 5+ years of experience in IT operations, service management, or infrastructure management, including roles such as Site Reliability Engineer, Problem Manager, or DevOps Manager.
 </li>
 <li>
 Proven experience managing high-availability systems and ensuring operational reliability.
 </li>
 <li>
 Extensive experience in root cause analysis (RCA), incident management, and developing permanent solutions for recurring service disruptions.
 </li>
 <li>
 Hands-on experience with CI/CD pipelines, automation, system performance monitoring, and infrastructure as code (IaC).
 </li>
 <li>
 Strong background in collaborating with cross-functional teams (Development, Operations, Engineering, etc.) to improve operational processes and service delivery.
 </li>
 <li>
 Experience managing deployments, conducting risk assessments, and optimizing event and problem management processes.
 </li>
 <li>
 Familiarity with cloud technologies, containerization, and scalable architectures, including zero-downtime deployment strategies.
 
 
 </li>
 </ul>
 
 Technical Skills (Must-to-Have)
 
 
 
 <ul>
 <li>
 Strong AKS &amp; On prem K8s skills and experience.
 </li>
 <li>
 Scripting (Ansible &amp; Bash, Python - combination of anything would be great),
 </li>
 <li>
 Automation,
 </li>
 <li>
 CI/CD pipeline,
 </li>
 <li>
 Terraform exposure,
 </li>
 <li>
 Azure (or) AWS skill.
 </li>
 <li>
 Basic DB skills.
 </li>
 <li>
 Strong problem-solving skills &amp; quick learner.
 </li>
 <li>
 SRE mindset.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 WHAT WE OFFER
 
 
 We're all about diversity. We operate in 200 countries and speak 60 different languages and cultures. We're really proud of our inclusive environment. Our offices are comfortable and fun places to work, and we make sure you get to work from home too. Find out what it's like to join our team and take a step closer to your best life ever.
 
 
 🏡
 
 Flex Week:
 
 Work from home up to 2 days/week (depending on your team's needs)
 
 
 ⏰
 
 Flex Day:
 
 Make your workday suit your life and plans.
 
 
 🌎
 
 Flex-Location:
 
 Take up to 30 days a year to work from any location in the world.
 
 
 🌿
 
 Employee Wellbeing:
 
 We have got you covered with our Employee Assistance Program (EAP), for you and your dependents 24/7, 365 days/year. We also offer Champion Health - a personalized platform that supports a range of wellbeing needs.
 
 
 🚀
 
 Professional Development:
 
 At SITA, we believe growth fuels innovation. Our learning ecosystem offers access to world-class platforms and programs designed to help you thrive. From
 
 LinkedIn Learning, Microsoft's Enterprise Skills Initiative,
 
 and
 
 Airport Council International
 
 -available to all employees-to specialized solutions like
 
 Pluralsight
 
 for technology upskilling,
 
 Harvard Business Publishing
 
 for people leadership,
 
 Stanford
 
 for strategic development and many others, we align learning opportunities with your Development Plan and our business priorities. Your development journey is supported every step of the way.
 
 
 🙌
 
 Competitive Benefits:
 
 Competitive benefits that make sense with both your local market and employment status.
 
 
 
 SITA is an Equal Opportunity Employer. We value a diverse workforce. In support of our Employment Equity Program, we encourage women, aboriginal people, members of visible minorities, and/or persons with disabilities to apply and self-identify in the application process.
 
</div>

Site Reliability Engineer/ Expert/ Specialist (DevOps Eng)

HireOn

<div>
 
 Senior MLOps Engineer (Onsite | Cairo, Egypt)
 
 
 
 
 Experience:
 
 5&ndash;8 Years
 
 
 
 Employment Type:
 
 Full-Time
 
 
 
 Location:
 
 Cairo, Egypt (Onsite)
 
 
 
 Salary Range:
 
 80,000 EGP &ndash; 100,000 EGP per month
 
 
 
 About The Opportunity
 
 
 
 HireOn is recruiting for its reputed international client seeking a highly skilled
 
 Senior MLOps Engineer
 
 to lead the operationalization of machine learning models in production environments.
 
 
 This role requires a hands-on expert who can bridge Data Science and Cloud Engineering teams, ensuring scalable, secure, and automated ML systems on AWS infrastructure. The ideal candidate will drive end-to-end MLOps architecture, CI/CD automation, and cloud-native ML deployment strategies.
 
 
 
 Core Requirements Experience
 
 
 
 <ul>
 <li>
 5&ndash;8 years of overall experience with minimum 3+ years in MLOps or production ML environments
 </li>
 <li>
 Strong experience managing the full ML lifecycle (training, deployment, monitoring, optimization)
 </li>
 <li>
 Proven ability to work independently and collaborate across cross-functional teams
 
 
 </li>
 </ul>
 
 AWS &amp; Cloud Expertise (Mandatory)
 
 
 
 
 Hands-on Experience With
 
 
 
 Amazon SageMaker, S3, EC2, Lambda, IAM, CloudWatch, ECR, ECS, EKS
 
 
 Strong understanding of secure, scalable, and highly available AWS architecture
 
 
 
 MLOps &amp; Machine Learning
 
 
 
 <ul>
 <li>
 Model deployment and monitoring in production
 </li>
 <li>
 Experience with TensorFlow, PyTorch, or Scikit-learn
 </li>
 <li>
 Experiment tracking tools such as MLflow
 </li>
 <li>
 Model performance monitoring and drift detection
 
 
 </li>
 </ul>
 
 DevOps &amp; Automation
 
 
 
 <ul>
 <li>
 Docker and containerization
 </li>
 <li>
 CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or AWS CodePipeline
 </li>
 <li>
 Infrastructure as Code (Terraform or CloudFormation)
 
 
 </li>
 </ul>
 
 Programming &amp; Data
 
 
 
 <ul>
 <li>
 Strong Python programming expertise
 </li>
 <li>
 Experience with SQL and working knowledge of NoSQL databases
 </li>
 <li>
 Experience handling structured and unstructured datasets
 
 
 </li>
 </ul>
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and implement scalable end-to-end MLOps pipelines
 </li>
 <li>
 Deploy and manage ML models using AWS-native services
 </li>
 <li>
 Build and maintain CI/CD pipelines for ML workflows
 </li>
 <li>
 Implement model monitoring, logging, and performance tracking
 </li>
 <li>
 Containerize ML applications and deploy on ECS/EKS
 </li>
 <li>
 Automate infrastructure using Terraform or CloudFormation
 </li>
 <li>
 Ensure system scalability, reliability, and security
 </li>
 <li>
 Troubleshoot ML pipelines and cloud infrastructure issues
 </li>
 <li>
 Collaborate closely with Data Science and Engineering teams to productionize ML solutions
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Exposure to feature stores and data versioning
 </li>
 <li>
 AWS Associate-level certification
 </li>
 <li>
 Understanding of ML governance, compliance, and model risk management
 
 
 </li>
 </ul>
 Skills: aws codepipeline,terraform,tensorflow,aws sagemaker,mlops,python,aws,ml
</div>

Senior MLOps Engineer

Siemens

<div>
 
 About Brightly
 
 
 
 Brightly is a global leader in intelligent, cloud‑based asset lifecycle management, empowering 12,000+ clients with predictive insights to optimize maintenance, energy, and capital planning&mdash;backed by Siemens. Our products help schools, hospitals, cities, and manufacturers keep critical infrastructure running efficiently and sustainably.
 
 
 
 The Opportunity
 
 
 
 We&rsquo;re looking for a Senior Machine Learning Engineer to lead LLM‑powered application development&mdash;from prototype to production&mdash;on AWS. You&rsquo;ll design robust ML/LLM services that power search, recommendations, copilots, and workflow automation in Brightly&rsquo;s platform, partnering closely with product, data, and engineering teams. Responsibilities and skill expectations reflect current industry practice for senior ML/LLM engineers, including end‑to‑end model lifecycle ownership, production‑grade code, and MLOps.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Build LLM applications: Design and implement RAG pipelines, prompt orchestration, tools/agents, safety/guardrails, and evaluation harnesses; instrument for latency, cost, and quality. (Guided by current LLM engineer role practices.)
 </li>
 <li>
 Own the ML lifecycle: Data curation, feature engineering, training/fine‑tuning (LoRA/QLoRA), A/B testing, deployment, monitoring, and continuous improvement of models and prompts.
 </li>
 <li>
 Productionize on AWS: Ship scalable services on EKS/ECS/Lambda; leverage SageMaker, Bedrock, EMR, MSK, Step Functions; apply observability (CloudWatch/OpenTelemetry) and cost controls. (Duties aligned to modern AWS ML roles.)
 </li>
 <li>
 Scale training &amp; inference: Use distributed training (FSDP/DeepSpeed), quantization, caching, vector databases, and GPU/Inferentia for performance and efficiency.
 </li>
 <li>
 MLOps &amp; governance: Establish CI/CD for models (MLflow/Kedro/SageMaker Pipelines), model/version registries, data and prompt lineage, evaluation gates, and responsible‑AI controls. (Aligned with contemporary MLOps templates.)
 </li>
 <li>
 Partner across Brightly: Translate asset‑management use cases into ML/LLM solutions; collaborate with product managers and UX to ship customer‑visible features that measurably improve reliability, safety, and sustainability.
 </li>
 <li>
 Mentor &amp; lead: Provide technical leadership, review designs/PRs, and raise the bar on ML engineering excellence across the team. (Common senior ML expectations.)
 </li>
 <li>
 Perform Exploratory Data Analysis (EDA) on structured, semi‑structured, and unstructured datasets to identify patterns, correlations, feature importance, and data quality issues.
 
 
 </li>
 </ul>
 (Consistent with ML engineer responsibilities to analyze data before model development.)
 
 
 <ul>
 <li>
 Conduct deep research on asset-related, operational, and domain-specific datasets to understand root causes, trends, and predictive signals.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring
 
 
 
 
 Required experience
 
 
 
 <ul>
 <li>
 8&ndash;10 years total software/ML engineering experience, with 5+ years building and operating ML systems in production.
 </li>
 <li>
 1+ years hands‑on LLM application development (e.g., RAG, fine‑tuning, prompt engineering, evaluators/guardrails, agentic workflows) using packages such as Langchain and Langgraph.
 </li>
 <li>
 AWS proficiency (3+ years): Strong with core services (EKS/ECS, Lambda, S3, DynamoDB/RDS, Step Functions, IAM) and ML stack (SageMaker, Bedrock or HF on AWS). (Representative AWS ML role skills.)
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 Modeling &amp; frameworks: Python, PyTorch, Hugging Face ecosystem; vector stores (e.g., OpenSearch, PGVector, Pinecone), embeddings, retrieval, and evaluation metrics for NLP/LLMs. (In line with senior LLM roles.)
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 MLOps: CI/CD for ML, model registries, experiment tracking, telemetry/monitoring, automated retraining; Docker/Kubernetes, GitHub Actions/GitLab CI. (Current MLOps expectations.)
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 Data engineering fluency: ETL/ELT, streaming/batch (Spark/Flink), data quality and governance controls for ML.
 
 
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 Nice to have
 
 
 
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 Experience with distributed training (FSDP, DeepSpeed), RLHF, or Inferentia/Trainium optimization.
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 Exposure to sustainability/asset/intelligent operations domains.
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 Familiarity with security &amp; compliance for ML systems in enterprise environments. (Frequently included in senior ML roles.)
 
 
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 </ul>
 
 How You&rsquo;ll Work
 
 
 
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 Pragmatic and product‑oriented: You bias to measurable outcomes and iterate quickly with stakeholders. (Modern senior ML role framing.)
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 Engineering excellence: You write production‑quality Python, design reliable APIs/services, and uphold testing/observability standards. (Common duties in senior templates.)
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 Collaborative leadership: You mentor peers and influence architecture across teams. (Industry‑standard senior expectations.)
 
 
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 </ul>
 
 Qualifications
 
 
 
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 Bachelor&rsquo;s in CS/EE/Math or related field (Master&rsquo;s preferred) or equivalent practical experience. (Typical for senior ML roles.)
 
 
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 </ul>
 Join a mission‑driven team building technology that keeps communities running&mdash;safer, greener, and more resilient&mdash;at global scale. You&rsquo;ll pair startup‑speed product work with the reach and rigor of Siemens.
 
 
 
 The Brightly culture
 
 
 
 We&rsquo;re guided by a vision of community that serves the ambitions and wellbeing of all people, and our professional communities are no exception. We model that ideal every day by being supportive, collaborative partners to one another, conscientiously making space for our colleagues to grow and thrive. Our passionate team is driven to create a future where smarter infrastructure protects the environments that shape and connect us all. That brighter future starts with us.
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Principal Machine Learning Engineer

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