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Platform Engineer

Platform Engineer

Senior Cloud Engineer, Data Platforms

Rivian

Belgradefulltime

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Описание вакансии

About Rivian
Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract.

As a company, we constantly challenge what’s possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations.

Role Summary
We are looking for a Senior Data Engineer who thrives at the intersection of high-performance data development and platform stewardship. In this role, you aren’t just a passenger on the roadmap—you are a key contributor to how we build.

You will spend your time crafting sophisticated data pipelines while taking a high-level interest in the health, setup, and evolution of our Databricks Platform. We value a "Senior Mindset"— someone who naturally looks at a solution and asks, "How can we make this more scalable, more efficient, and more future-proof?"

We don't believe in manual drudgery. Our team stays ahead of the curve by integrating the world’s most advanced AI tools into our daily workflows. You will have full access to Gemini, Claude, Cursor, Windsurf, and Devin to accelerate architecture design, automate boilerplate, and focus your energy on solving complex logic and platform challenges.

Responsibilities

  • Hybrid Engineering & Platform Ownership: Balance the delivery of high-impact data pipelines with the responsibility of maintaining and optimizing our Databricks environment.
  • Architectural Influence: Act as a technical consultant within the team. You will proactively propose infrastructure improvements and evaluate new technologies to keep our stack at the cutting edge.
  • Advanced Lakehouse Development: Design and deploy modular ingestion and processing pipelines using Lakeflow and Databricks Asset Bundles (DABs) for reproducible, automated deployments.
  • Platform Stewardship: Take a primary role in Databricks setup, ensuring the environment is tuned for performance and integrated seamlessly with our wider ecosystem.
  • Enterprise Governance: Configure and manage enterprise data lineage and metadata through Unity Catalog, ensuring our data remains a trusted asset.
  • Collaborative Engineering: Work alongside Data Scientists to build robust data services using Python, SQL, and dbt, helping translate complex requirements into elegant technical solutions.

Qualifications

  • Experience: 4+ years in Data Engineering, with a deep, hands-on understanding of the Databricks ecosystem, is considered a plus.
  • The Architect’s Mindset: You enjoy thinking about the "big picture" and have a track record of proposing and implementing technical improvements.
  • Core Mastery: Expert-level proficiency in Python, SQL, and dbt (data build tool).
  • Modern Tooling: Strong experience with AWS infrastructure (S3, ECS, Lambdas), GitLab CI/CD, and automated data movement via Fivetran.
  • Orchestration: Proficiency in automating complex workflows using Managed Airflow or Databricks Workflows.

Equal Opportunity
Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law.

Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com.

Candidate Data Privacy and Technology
Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (“Candidate Personal Data”). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law.

Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian’s service providers, including providers of background checks, staffing services, and cloud services.

Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions.

How We Use AI in Our Hiring Process: To ensure transparency, we want candidates to know that Rivian uses iCIMS Talent Cloud Artificial Intelligence (TCAI) and AI-enabled tools to assist with screening, reviewing, organizing and highlighting profiles and applications that match the key requirements for each role.

AI does not make hiring decisions: Qualified candidate applications are reviewed by a member of our team, and all decisions throughout the process are made by humans. We use AI to support efficiency and consistency, not to replace human judgment. We are committed to a fair, thoughtful, and equitable experience for every candidate.

Participation in AI profile matching is entirely voluntary. If you prefer that your profile not be used in this process, you can opt out at any time. Opting out means your profile will be excluded from automated matching and will not be surfaced for additional roles through this system. Your current application remains active and will not be affected in any way.

Please note that we are currently not accepting applications from third party application services.

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Platform Engineer

CloudOps Engineer (Serbia)

Camlin Group

Belgradefulltime

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Описание вакансии

About Camlin

Camlin is a global technology leader that operates with the vision of bringing revolutionary products to life for a wide range of industries, including power and rail, and also has interests in a number of R&D projects in a variety of scientific sectors.

At Camlin we believe in high quality engineering and design, allowing us to develop market leading products and services. In short, we love creating value for our customers by solving difficult problems. As of now, Camlin operates in over 20 countries worldwide.

What to expect day to day?

This is an exciting opportunity for an experienced CloudOps Engineer to help automate, deploy and secure customer facing Cloud solutions using DevSecOps practices such as automation, CI Pipelines and Infrastructure as Code & Security.

You will work alongside Software Development, Product and Operations teams to identify and eliminate constraints in the product life cycle. You will help to develop monitoring and alerting for AWS deployed platforms and software to support sustained and reliable availability of internal and production systems.

The ideal candidate will be someone who is ambitious and not afraid to take ownership, someone with strong technical problem – solving skills and who is collaborative with development teams and has a passion to automate away the mundane areas of development and deployment and will keep up to date with current trends in technology.

You will be working alongside the small, existing team but will be expected to bring additional knowledge and experience to aid the growth and expansion of the company.

The successful candidate must be available for participation in the on-call rotation schedule and occasional travel.

What will you need to succeed?

  • 7+ years’ experience in a similar role (SRE, Cloud infrastructure/DevOps)
  • An understanding of the SDLC process.
  • Infrastructure as Code (Terraform)
  • Experience of container technologies (Docker or Podman)
  • Container Orchestration (Kubernetes)
  • Familiarity with configuration management tools (Ansible, Puppet)
  • Experience of AWS services (VPC, Security Group, EC2, Route53, IAM, S3, AWS-cli)
  • Familiarity with Continuous Integration Pipelines (Gitlab CI, Travis CI, etc.)
  • Proficiency in one or more scripting languages (Shell, Python, etc.)
  • Experience with Source Control Management (Git)
  • Demonstrable Linux Systems Administration (Ubuntu, CentOS)
  • Experience with Web servers (Apache, NGINX)
  • Excellent written and verbal communication
  • Experience of producing technical and process documentation

Qualifications:

  • Bachelor of Science degree in Computer Science, Management Information Systems, or related is desirable but not essential.

Nice to have but not essential:

  • Service monitoring and graphing tools (DataDog, Prometheus + Grafana, Nagios + Munin)
  • Elastic stack
  • Repository solutions
  • OpenVPN
  • Apache Tomcat
  • Messaging streams or communication platforms (RabbitMQ, Postfix, Mandrill)
  • SQL Databases (MongoDB, PostgreSQL, or MySQL)
  • Microservice Architecture
  • Apache Pulsar / Kafka

Our Values

  • We work together
  • We believe in people
  • We won’t accept the ‘way it has always been done’
  • We listen to learn
  • We’re trying to do the right thing

Benefits

  • 25 Days of Annual Leave
  • FitPass membership
  • Private Health Insurance
  • Internal Reward & Recognition Tool Kudos

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Platform Engineer

Cloud Operations Architect

Camlin Group

Belgradefulltime

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Описание вакансии

Company Description

At Camlin we pride ourselves on designing and building complete solutions in-house. We create everything from hardware PCB designs to device firmware, Linux drivers, IoT application software, server software, server web UIs, mobile apps, and machine learning and data science solutions. We believe that by controlling every aspect of the development process, we can deliver truly unique and exceptional products to our customers.

Our advanced technology stack includes the use of REST APIs, MQTT and RabbitMQ queues, Docker, and open-source tools. We are constantly looking for new and innovative ways to improve our products and processes, and we believe that by using the latest technologies, we can continue to lead the industry.

As a member of our team, you will have the opportunity to work with a variety of technologies and collaborate with experts in the field of digital signal processing, data acquisition, complex connected devices, machine learning, and data science. You will have the opportunity to work on exciting projects and see your ideas come to life, and you will be part of a team that is committed to creating solutions that make a difference.

If you are a passionate programmer who is looking to work on challenging projects and be part of a team that is dedicated to innovation, then we want to hear from you. Join us and

be part of a company that is changing the world with our cutting-edge IoT devices and an advanced technology stack.

Position Overview

We are seeking a Cloud Operations Architect to lead the design, implementation, and management of scalable, secure, and resilient cloud – based solutions. The ideal candidate will collaborate with cross – functional teams to drive cloud adoption strategies, optimize cloud resources, and ensure seamless operational performance. You will play a key role in architecting and automating cloud environments to support modern enterprise needs.

Key Responsibilities

Cloud Architecture and Design:

  • Develop and implement scalable cloud solutions across multiple platforms (e.g., AWS, Azure, GCP).
  • Design robust cloud architectures for high availability, performance, and disaster recovery.
  • Define and enforce best practices for cloud infrastructure, ensuring security and compliance.

Operations Management:

  • Oversee the day–to–day operations of cloud environments, ensuring optimal performance and uptime.
  • Implement monitoring and logging frameworks to proactively identify and resolve issues.
  • Drive cost optimization initiatives by implementing efficient resource utilization strategies.

Automation and CI/CD:

  • Develop and manage Infrastructure as Code (IaC) using tools such as Terraform, CloudFormation, or Ansible.
  • Architect and maintain CI/CD pipelines for application deployment and infrastructure updates.
  • Automate routine cloud management tasks to enhance operational efficiency.

Governance and Compliance:

  • Establish policies and guidelines for cloud usage and governance.
  • Ensure cloud solutions adhere to industry standards and regulations (e.g., GDPR, HIPAA, ISO 27001).
  • Conduct regular security and compliance audits of cloud environments.

Collaboration and Leadership:

  • Partner with DevOps, Security, and Development teams to align cloud operations with business goals.
  • Provide technical leadership and mentoring to team members and stakeholders.
  • Stay updated on emerging cloud technologies and trends to drive innovation.

Incident Response and Troubleshooting:

  • Lead incident response efforts for cloud-related outages or disruptions.
  • Analyze and resolve complex technical issues across cloud platforms.

Essential Criteria

  • 8+ years of experience in IT operations with a focus on cloud technologies.
  • Proven expertise in architecting and managing solutions on at least one major cloud platform (AWS, Azure, GCP).
  • Hands-on experience with IaC tools like Terraform, CloudFormation, or Ansible.
  • Strong knowledge of cloud – native technologies (Kubernetes, Docker, Serverless, etc.).
  • Experience with monitoring tools (e.g., Prometheus, Datadog, New Relic).
  • Familiarity with networking concepts, security protocols, and identity management.
  • Strong problem-solving and analytical skills.
  • Excellent communication and leadership abilities.
  • General Experience building SaaS applications

Nice To Have But Not Essential

  • Bachelor’s degree in computer science, Engineering, or a related field.
  • Ability to work in a collaborative, fast-paced environment.
  • Proficiency in scripting/programming languages (Python, Bash, or PowerShell).
  • Cloud certifications such as AWS Certified Solutions Architect, Azure Solutions Architect Expert, or Google Professional Cloud Architect.
  • Experience with multi-cloud or hybrid-cloud strategies.
  • Background in Software development.

What We Look For -- Our Values

  • We seek out individuals who are always looking for new ways to improve or do things differently.
  • We expect you to be proactive and be prepared to share open and honest feedback regularly.
  • We know that working collaboratively will help us reach our shared goals faster, so we always look for similar individuals who will be willing to help others.
  • Whether it is our customers, our markets, or each other, we like people to ask questions and listen to the answers so we can all learn and improve.
  • We expect individuals to take responsibility for their actions and make decisions based on what is right for people, profit and planet.

Benefits

  • 25 Days of Annual Leave
  • FitPass membership
  • Private Health Insurance
  • Internal Reward & Recognition Tool Kudos

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Platform Engineer

Cloud Developer (AI Integrations)

Bosch Srbija

Belgradefulltime

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Описание вакансии

Do you want to shape beneficial technologies with your ideas? Whether in mobility solutions, consumer goods, industrial technology, or energy and building technology – with us, you will have the chance to improve quality of life all across the globe.

As part of the Bosch Engineering Center, you will work on an enterprise AI integration platform that connects large language models to internal business systems via the Model Context Protocol (MCP). Our stack powers secure, policy-driven AI assistant experiences across various enterprise platforms — serving thousands of users within a large corporate environment.

Welcome to Bosch.

Job Description

► Develop scalable backend microservices and handle authentication, request routing, and protocol orchestration

► Contribute to our SDK used by multiple servers across the organization

► Build and manage cloud-native infrastructure, utilizing GitOps, modern messaging systems, and service meshes

► Build integration servers that connect AI assistants to major business platforms and enterprise APIs

► Implement robust security and authentication flows, including policy evaluation and secret management

► Ensure system observability through comprehensive instrumentation, metrics, and distributed tracing

► Design tool interfaces for LLM consumption and optimize protocol interactions

► Take full ownership of your work from code to production, bringing a security mindset, writing clean code, and fostering collaboration

Qualifications

► 3–5 years building production backend systems

► Strong TypeScript / Node.js; comfortable designing and consuming REST APIs and async/event-driven interfaces

► Hands-on with containerization and orchestration (eg. Docker and Kubernetes) in production — not just local dev

► Solid Git, CI/CD, and automated testing discipline (unit, integration, contract)

► Cloud fundamentals: networking, load balancing, secure communications (TLS/mTLS, identity, secrets)

► Comfortable with observability in practice — structured logging, metrics, distributed tracing (OpenTelemetry)

► Curiosity and interest in AI/LLM technology and how it intersects with enterprise software

► Strong plus: Experience with AI/LLM integration patterns (RAG, tool/function calling, MCP, agent frameworks) Event-driven architectures and message brokers (NATS/JetStream, Kafka, etc.)

Additional Information

Your
work-life
balance is valuable to us, so we offer you:

  • 22 - 27 days of annual leave
    , because work-life balance is essential to us
  • Flexible working hours
  • Our
    Hybrid program
    is designed to combine working from office and from home, offering flexibility and a balanced approach
  • Up to 3 days off for private purposes

Your
health
and
well-being
is important to us, so we have you covered:

  • Medical subscription for annual health check ups
  • Paid private health insurance
  • Mental health and well-being initiatives

We believe in
a Life-Long Learning
approach, supporting your growth through:

  • Technical and soft skills training, according to the needs of your role and career path
  • A mentorship program and personalized development plans
  • English and German language courses, provided based on job requirements and responsibilities
  • Local and global career development programs
  • Opportunities to attend conferences, that align with your professional goals

You will be part of a
product company
. You will contribute to developing end-to-end products that are delivered to Global OEMs.

On top of these, we are offering:

  • Office restaurant with lunch discounts
  • Annual bonus
  • Referral bonus

Are you our new colleague?

Get ready to work
Bosch
! Simply complete the contact form and submit your CV in
PDF format
and
i English
.

If you have any questions, feel free to contact us at
HRing.team@rs.bosch.com
.

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Platform Engineer

Sr Engineer, Server Inference

Tenstorrent

Belgradefulltime

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Описание вакансии

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.

Join our Inference Server Technologies team, where we develop software that powers state-of-the-art AI inferencing on Tenstorrent’s cutting-edge hardware. Our team builds the layer that works on top of the Tenstorrent ML libraries - designing APIs, deploying workloads, and benchmarking end-to-end inference speed. You’ll help us shape how developers consume and scale model execution on Tenstorrent’s stack.

This role is hybrid based in Belgrade, Serbia.

We welcome candidates at various experience levels. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

  • An engineer who enjoys designing modern APIs and improving how ML models are deployed in production.
  • Curious about performance gains through techniques like batching, caching, and model parallelism.
  • Passionate about clean software architecture and effective abstraction layers.
  • Motivated to deliver backend systems that developers trust and rely on.

What We Need

  • Backend engineers who enjoy solving performance bottlenecks and scaling infrastructure.
  • Experience with web technologies, protocols, and system design.
  • Familiarity with Python, Docker, and Linux-based environments.
  • Strong coding practices and a clear ability to break down complex problems into high-quality, maintainable code.

What You Will Learn

  • How to optimize end-to-end ML inference on custom silicon.
  • Strategies for building scalable, reliable software interfaces for real-world AI applications.
  • How to shape the experience developers have when using Tenstorrent’s hardware for AI workloads.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.
This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

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Ещё 30 вакансий по этой категории в этой стране

Senior Cloud Engineer, Data PlatformsRivian · Serbia

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