Senior Python Engineer (AI & Cloud) Job at Valtech

Senior Python Engineer (AI & Cloud)

We are looking for a Senior Python Engineer (AI & Cloud) to join a high-impact a...

Location

Poland

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

Deep understanding of Python internals, concurrency (asyncio), and design patterns
Experience in building scalable and secure RESTful or GraphQL APIs
Hands-on experience building and maintaining CI/CD pipelines (e.g., GitHub Actions, GitLab CI, or Jenkins) to ensure automated testing and seamless deployment
Experience with system integrations and data processing
Hands-on experience with AI / LLM uses cases
Experience with API frameworks: FastAPI or Flask (Django not required)
Cloud experience required: preferably GCP, but AWS is acceptable
Understanding of cloud deployment patterns
Teamwork experience
Proactive, collaborative mindset, quick learner

Job Responsibility

Industrializing a Generative AI solution for a major French healthcare corporation, moving from POC to a production-ready MVP
Turning cutting-edge AI (Voice AI, NLU) into reliable industrial services
Teamwork and knowledge-sharing within a cross-functional squad of Data and Salesforce experts

What we offer

24 working days of paid vacation
National holidays covered
Sick leave (up to 20/year)
Unpaid leave (up to 20/year)
Medical insurance
Multisport card OR Multikafeteria
Maternity & paternity leave support
Internal workshops & learning initiatives
Professional certifications reimbursement
Participation in professional local & global communities

Senior Python Engineer (AI & Cloud)

We are looking for a Senior Python Engineer (AI & Cloud) to join a high-impact a...

Location

Bulgaria

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

Deep understanding of Python internals, concurrency (asyncio), and design patterns
Experience in building scalable and secure RESTful or GraphQL APIs
Hands-on experience building and maintaining CI/CD pipelines (e.g., GitHub Actions, GitLab CI, or Jenkins) to ensure automated testing and seamless deployment
Experience with system integrations and data processing
Hands-on experience with AI / LLM uses cases
Experience with API frameworks: FastAPI or Flask (Django not required)
Cloud experience required: preferably GCP, but AWS is acceptable
Understanding of cloud deployment patterns
Teamwork experience
Proactive, collaborative mindset, quick learner

Job Responsibility

Industrializing a Generative AI solution for a major French healthcare corporation, moving from POC to a production-ready MVP
Turning cutting-edge AI (Voice AI, NLU) into reliable industrial services
Teamwork and knowledge-sharing within a cross-functional squad of Data and Salesforce experts

What we offer

Flexibility, with remote and hybrid work options and 25 vacation days for a healthy work-life balance
Co-subsidized transportation & Multisport cards
Premium health insurance for fast and easy access to top healthcare services
Training policy for technical and other skills-related events, courses and certifications
Personal career development roadmap guided by performance evaluations
Self-care program offering psychological consultations & discussions for you and the team
Cozy office space designed for comfort and productivity
Exciting team events and company gatherings

Fulltime

Senior Software Engineer - AI Cloud

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serv...

Location

United States , San Francisco

Salary:

255000.00 - 445000.00 USD / Year

Lambda

Expiration Date

Until further notice

Requirements

Frontend Experience (6+ years): Responsive web apps using TypeScript, React (or equivalent experience in Vue or Svelte), HTML and modern CSS, Vite
Backend Experience (8+ years): Business-critical services using Python, Unix/Command line, Django or FastAPI, Relational databases like PostgreSQL or MySQL
Additional Core Experience: CI/CD: Automation around testing and deployment
Reliability & Observability: Logging, alerting, and building highly available systems
Cloud Native Services: AWS, Okta, Cloudflare, etc.

Job Responsibility

Design and build intuitive, beautiful web interfaces for ML/AI cloud users
Integrate top-tier tooling, workflows, and models from the AI space
Own features end-to-end—from design to deployment to monitoring
Help build the world’s best deep learning cloud by delivering frontend and backend systems that power Lambda's ML and AI platform

What we offer

Generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan

Fulltime

Senior DevOps Engineer (AI & Cloud Infrastructure)

We are seeking a Senior DevOps Engineer to design, deploy, and operate the next ...

Location

United States , Palo Alto

Salary:

175000.00 - 250000.00 USD / Year

Inflection AI

Expiration Date

Until further notice

Requirements

5+ years of hands-on experience in DevOps, Site Reliability Engineering, or ML Infrastructure supporting high-scale, production systems
Deep expertise in Azure and AWS, including storage, compute, networking, databases, and cloud-native monitoring services
Strong Kubernetes administration experience, including GPU scheduling, operator deployment, and management of core infrastructure components
experience with Slurm is highly desirable
Proven experience deploying, scaling, and operating Large Language Models (LLMs) and inference engines such as vLLM, TGI, or Triton
Strong experience with modern DevOps tooling: Terraform, Helm, Kustomize, ArgoCD, GitHub Actions or GitLab CI, Prometheus, Grafana, and Clickhouse
Advanced scripting and automation skills in Python and Bash, with the ability to debug complex distributed systems and optimize performance at scale
Demonstrated ability to troubleshoot LLM servers, Kubernetes workloads, GPU utilization, and cloud infrastructure bottlenecks
Have a bachelor’s degree or equivalent in a related field to the offered position requirements.

Job Responsibility

Architect, deploy, and operate large-scale LLM inference servers and AI applications with a focus on low latency, high availability, and production reliability
Design, provision, and maintain complex cloud architectures across Azure and AWS, including storage, compute, networking, databases, and native LLM services
Manage GPU-enabled Kubernetes clusters and Slurm-based HPC environments, optimizing resource allocation for AI training and inference workloads
Deploy and operate core Kubernetes infrastructure components and operators (GPU operators, ingress controllers, service meshes, CNIs, CSIs, and storage drivers)
Build scalable infrastructure-as-code and deployment workflows using Terraform, Helm, Kustomize, ArgoCD, and GitOps best practices
Design and maintain centralized observability systems using Prometheus, Grafana, Clickhouse, and cloud-native monitoring tools
Participate in on-call rotations, lead incident response, perform post-mortems, and continuously improve system reliability and SLAs.

What we offer

Diverse medical, dental and vision options
401k matching program
Unlimited paid time off
Parental leave and flexibility for all parents and caregivers
Support of country-specific visa needs for international employees living in the Bay Area
Meaningful equity component.

Fulltime

Senior AI Engineer with Python

The Senior AI Engineer role at NTT DATA involves developing an AI Retrieval-Augm...

Location

Romania , Cluj

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent experience
Minimum 5 years of experience developing microservices
5+ years of backend Python development
2+ years building APIs with FastAPI
2+ years designing and maintaining CI/CD pipelines
2+ years managing cloud infrastructure (IAM, databases, compute, networking)
Proven experience deploying and maintaining web application backends in production
Ability to work autonomously and take full technical ownership
Testing experience (unit, integration, performance)
Observability (logging, tracing, metrics) – Grafana, Prometheus, Loki

Job Responsibility

Design and implement scalable backend services for a RAG-based system
Design and develop APIs using FastAPI
Create and maintain CI/CD pipelines
Contribute to vector storage design and chunking strategies
Ensure testing, reliability, and production readiness
Proactively propose backend and infrastructure improvements

What we offer

Smooth integration and a supportive mentor
Pick your working style: choose from Remote, Hybrid or Office work opportunities
Projects have different working hours to suit your needs
Sponsored certifications, trainings and top e-learning platforms
Private Health Insurance
Individual coaching sessions or accredited Coaching School
Epic parties or themed events

Senior Cloud Software Engineer AI

We are looking for an experienced Senior Cloud Software Engineer AI (m/f/d) for ...

Location

Germany , Berlin

Salary:

Not provided

Brighter AI

Expiration Date

Until further notice

Requirements

3+ years of professional experience building resilient, scalable systems and troubleshooting whole-system issues
Several years of experience with Microsoft Azure or AWS and associated services
Solid expertise in at least one programming language, either Python or C++
Several years of experience implementing cloud infrastructure solutions, specifically IaC with Terraform and Kubernetes
Enjoy working in an agile team with daily scrum-based sprints and consider yourself a good team player
Business-fluent English skills

Job Responsibility

Participate in the design and continuous improvement of the existing cloud landscape
Responsible for the scalability of compute-intensive workloads
Guide the team in cloud architecture decisions
Work across teams to improve problem visibility and translate issues into concrete solutions
Reduce cycle times and introduce continuous delivery
Steer technical projects from conception through implementation and ensure handover to operations during the testing phase

What we offer

Friendly cooperation at eye level—flat hierarchies with a positive feedback culture
Innovation where it matters—a challenging position in a company that is changing the world of video data
Creative and entrepreneurial playground - define your own tasks, actively contribute and implement your ideas
Team spirit celebrates diversity—Numerous events to get to know the teams
Flexible working hours - Trust-based and goal-oriented working culture
Public transport ticket with a 50% subsidy
Huge discount on Urban Sports Club memberships
Generous learning budget
Loft-office in central Berlin - With free drinks and a large balcony with barbecue

Fulltime

Senior Cloud Platform Engineer with AI Enablement

We are looking for a Senior Cloud Platform Engineer with AI Enablement experienc...

Location

Poland , Warszawa

Salary:

Not provided

Algoteque

Expiration Date

Until further notice

Requirements

Solid experience as a Cloud, DevOps, Platform, SRE or Infrastructure Engineer
Hands-on knowledge of at least one major cloud platform: AWS, Azure or GCP
Experience with Kubernetes in production or near-production environments
Experience with Infrastructure as Code, especially Terraform
Familiarity with CI/CD tools (GitHub Actions, GitLab CI/CD, Jenkins, Azure DevOps or Tekton)
Knowledge of observability and monitoring tools (Prometheus, Grafana, ELK, Loki, Datadog, New Relic, CloudWatch or OpenSearch)
Experience with production support, incident management, RCA and deployment stability
Good scripting or programming skills (Python, Bash, PowerShell or Go)
Understanding of security basics, IAM, secrets management and secure cloud delivery
Experience working with development teams and improving Developer Experience

Job Responsibility

Design and develop cloud-native platforms and internal developer platforms (IDP)
Deliver scalable, reliable and secure platform solutions for engineering teams
Work with Kubernetes and cloud services on AWS, Azure or GCP
Build and maintain Infrastructure as Code (Terraform, Pulumi, CloudFormation)
Develop CI/CD pipelines and automate deployments
Introduce platform standards, reusable templates, golden paths and best practices
Improve observability, monitoring, alerting and incident response
Support reliability, high availability, disaster recovery and operational stability
Use AI tools and AI-assisted workflows to boost engineering productivity and platform operations
Help define safe, controlled usage of AI tools, coding agents and LLM-based workflows

What we offer

B2B contract
100% remote work
A unique and engaging project in the EdTech space

Fulltime

Senior Generalist (Python, Data) Engineer - Healthcare AI Platform

We are looking for a senior hands-on engineer to own and maintain a sophisticate...

Location

United States

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

6+ years of hands-on engineering experience with production systems
Generalist mindset, comfortable across backend development, data pipelines, and cloud infrastructure
Strong production Python skills and solid software engineering fundamentals
Hands-on experience with AWS (S3, Lambda, ECS, SQS, Bedrock, RDS or similar)
Experience with analytical data pipelines (SQL, Spark) and data processing at scale
Experience with Infrastructure as Code (Terraform, CDK, or CloudFormation)
Experience with AI-assisted development workflows (Claude Code or alternatives), not just autocomplete
Experience maintaining and scaling systems in production, not just building POCs
Autonomous working style, you don't need a project manager to tell you what to do next
US-based, required due to project compliance and data security constraints

Job Responsibility

Maintain, improve, and extend an AI platform already running in production
Handle a mix of backend development, data engineering, DevOps, and infrastructure work
Translate business and product requirements into technical decisions independently
Work directly with internal stakeholders and consumer teams
Establish and maintain engineering best practices for the platform
Identify and resolve technical issues as the first line of defense

What we offer

Full ownership of a production AI platform
Remote-first, fully flexible work environment
Annual performance bonus
Health, dental, vision, 401(k) with company match, unlimited PTO
Long-term engagement
this role extends beyond the initial project

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Senior Python Engineer (AI & Cloud)

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