Why Verifone

For more than 30 years, Verifone has established a remarkable record of leadership in the electronic payment technology industry. Verifone is one of the leading electronic payment solutions brands and among the largest providers of electronic payment systems worldwide.

Verifone has a diverse, dynamic, and fast-paced work environment in which employees are focused on results and have opportunities to excel. We take pride in working with leading retailers, merchants, banks, and third-party partners to invent and deliver innovative payment solutions around the world. We strive for excellence in our products and services and are obsessed with customer happiness.

Across the globe, Verifone employees are leading the payments industry through experience, innovation, and an ambitious spirit. Whether it’s developing the next generation of secure payment systems or finding new ways to bring electronic payments to emerging markets, the Verifone team is dedicated to the success of our customers, partners, and investors. It is this passion for innovation that drives every Verifone employee toward personal and professional success.

Verifone is proudly an in-office work culture as we see immense benefits to career development and business results from our colleagues being physically co-located.

What’s Exciting About the Role

Verifone is seeking a Kafka DevOps Engineer to join our Platform Engineering team. This is an operations-first role with a strong emphasis on scripting, automation, and pipeline development. You’ll be hands-on with day-to-day Kafka operations, reliability, tuning, and high availability for payment gateway solutions that process billions of transactions annually on-prem and in AWS Cloud. Beyond keeping the lights on, you’ll play a key role in building the data pipelines—of which Kafka is a core component—that power Verifone’s new AI, machine learning, and analytics initiatives. You’ll also be part of an active effort to migrate Kafka and related services to Kubernetes, giving you hands-on experience with a meaningful infrastructure modernization project. The technology footprint is broad: Redis, MongoDB, PostgreSQL, MySQL, Snowflake, and more—so you’ll grow well beyond a single-technology niche.

Key Responsibilities

Kafka Operations & Reliability

• Manage and support Apache Kafka clusters (including MSK), Kafka Connect ecosystem, and KSQL for high-throughput, fault-tolerant messaging and event streaming pipelines.
• Monitor system health, set up alerts, and drive incident response and root cause analysis (RCA).
• Handle day-to-day operational tasks including offset management, lag monitoring, consumer group management, and cluster rebalancing.
• Perform routine cluster maintenance: upgrades, configuration changes, scaling, and health checks.

Scripting, Automation & DevOps

• Develop and manage automation scripts using Python and Shell scripting to reduce manual toil and improve operational efficiency.
• Design, implement, and maintain robust CI/CD pipelines for patching automation.
• Build and maintain Infrastructure as Code (IaC) using tools such as Terraform, Ansible, or similar.
• Containerize and orchestrate workloads using Docker and Kubernetes, with the opportunity to help migrate Kafka and related services to Kubernetes.

Data Pipeline Development

• Build and optimize end-to-end data pipelines, with Kafka as a core streaming component alongside batch and ETL processes, enabling new AI, ML, and analytics use cases.
• Collaborate with development teams to implement best practices for data flow, security, scalability, and performance.
• Continuously identify and implement improvements to the software development lifecycle (SDLC).

Cloud & Infrastructure

• Manage cloud infrastructure on AWS (VMs, networking, storage, IAM, etc.).
• Support cloud migration tasks and assist in moving workloads between on-prem and cloud environments.

Required Qualifications / Skills

• 4+ years of overall engineering experience with 2+ years of hands-on experience supporting Kafka infrastructure in a large-scale production environment.
• Kafka Producer/Consumer microservices concepts and Kafka distributed architecture.
• Solid Linux fundamentals: networking basics, logs, system troubleshooting, process/memory, disk.
• Strong scripting and automation skills (Python, Bash) with a track record of reducing operational toil.
• CI/CD pipeline development and Infrastructure-as-Code experience (Terraform preferred).
• Cloud engineering skills, preferably AWS (EC2, VPC, IAM, MSK/ElastiCache, CloudWatch).
• Familiarity with observability tools (metrics/logs/tracing concepts) and incident response practices.
• Basic understanding of distributed systems tradeoffs (availability, consistency, partitions, backpressure).
• Strong communication and presentation skills with emphasis on executive communication.
• Flexible with regards to working shifts; on-call and weekends.

Preferred Skills (Highly Desired)

Data Engineering & Pipelines

• Data engineering skills including data analytics, data processing, ETL, and data lake technologies (batch and streaming, file formats like Parquet, table formats like Iceberg/Delta/Hudi, basic orchestration).
• Experience with AWS data tools (Athena, Glue, Iceberg, Redshift, etc.).
• Exposure to Kafka Streams, Apache Flink, or similar stream processing frameworks.

Database & Caching Technologies

• Operate Redis deployments for caching, ephemeral state, queues/streams, and rate limiting use cases.
• Relational DB experience: PostgreSQL and/or MySQL (indexing basics, vacuum/analyze, query plans, replication fundamentals).
• MongoDB operational familiarity (replica sets, elections, oplog basics, backup/restore).

Infrastructure & Security

• Container/Kubernetes familiarity (deployments, stateful workloads, storage classes).
• On-prem experience (VMware/KVM, storage, networking).
• Security fundamentals: least privilege, secrets management, encryption-in-transit/at-rest concepts.
• Experience working with PCI (Payment Card Industry Data Security) standards.

What We Offer

• Direct impact on Verifone’s global payment infrastructure—your work keeps billions of transactions flowing reliably every year.
• Ground-floor involvement in building the data pipelines that will drive Verifone’s AI, machine learning, and analytics strategy.
• Hands-on participation in a Kafka-to-Kubernetes migration—a resume-building modernization project from day one.
• Multi-technology exposure—Kafka, Redis, MongoDB, PostgreSQL, MySQL, Snowflake—so you grow as a well-rounded platform engineer, not a single-tool specialist.
• Mentorship from senior engineers and Kafka architects with deep production experience.
• Clear career progression path from mid-level to senior and lead engineer.
• Funded certification paths—Confluent (CCDAK, Certified Administrator), AWS (Solutions Architect, MSK Specialty), CKA—plus budget for courses and technical conferences.
• Hybrid/remote working flexibility with a collaborative team culture.
• Competitive compensation with performance-based incentives.

Our Commitment

Verifone is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Verifone is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

About the Role

The ideal candidate will be naturally collaborative, articulate, extremely organized, have a solid technical understanding of Veeam products, and motivated by maximizing customer success and outcomes. Soft skills combined with technical skills are key in this role. You will partner with Customer Success Engineers (CSEs) and Account Executives (AEs) to drive customer outcomes across security-related products and use cases within the Veeam Data Platform (VDP). You’ll lead readiness checks, data modeling, and risk conversations with CISO/CIO stakeholders, while monitoring telemetry and maturity against the Veeam Data Resilience Maturity Model (DRMM) to optimize posture and identify expansion opportunities.

What You’ll Do

• Engage customers on security-related products, architectures, and risk topics across the Veeam Data Platform (VDP).  
• Run readiness checks and lead data modeling to validate solution design and accelerate decisions.  
• Monitor attack surfaces and vulnerabilities (including DRMM scoring), track telemetry or recurring inspection signals, report trends, and capture potential health checks.  
• Validate designs to de-risk adoption and accelerate time to value.  
• Identify and articulate expansion opportunities; review consumption trends and schedule checkpoint reviews (with or without AE coordination).  
• Engage CISO/CIO stakeholders for risk, status, and opportunity discussions; synthesize inputs from account health and CSE-led QBRs.  
• Support AEs on security- and AI-driven expansion motions; influence roadmap priorities with CSE counterparts.  
• Operate as a pooled resource covering Enterprise and Commercial-Named accounts (generally $100K+ ARR), typically at a 1 Security Success Engineer to 6–8 CSE coverage ratio.  
• Note: Not the primary owner for Onboarding motions nor directly responsible for Renewals

What You’ll Bring

• 5+ years of experience in engineering architecture for cybersecurity-related products (e.g., Security Engineer/Architect, Cloud Solution Architect, MLOps/ML Engineer).  
• Bachelor’s degree in Computer Science, Electrical Engineering, or a related technical field; advanced degree is a plus.  
• Relevant certifications (e.g., CompTIA Security+, CISSP, or equivalent).  
• Expertise in data security and governance, including DSPM/DLP; familiarity with AI/ML architectures.  
• Demonstrated ability to engage CISO/CIO stakeholders on risk, resilience, and modernization roadmaps.  
• Hands-on experience with solution design, POCs, telemetry monitoring, and maturity modeling (DRMM familiarity is a plus).  
• Strong communication, stakeholder management, and cross-functional collaboration skills.  
• VMCE certification (can be completed after joining)

What You’ll Get 

• 21 annual vacation days, additional days based on tenure, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Private health, dental, and vision insurance for employees and dependents, including outpatient care, hospitalization, pregnancy monitoring, and psychology support
• Monthly lifestyle and daily meal benefits: 40 RON/day via Edenred and 600 RON/month through a flexible cafeteria platform
• Life insurance (2× annual gross salary), critical illness, and disability coverage, plus vision reimbursement
• Free access to Bookster library platform for borrowing your favorite books for free
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops and learning events like our annual Global Day of Learning

Please note: If an applicant is permanently located outside of Romania, Veeam reserves the right to decline the application for this position.

#LI-AF1

We are seeking an experienced Product Manager to lead the strategy, development, and implementation of the new systems, tools, and business processes that will power the next stage of growth.

Key Responsibilities

• Partner with leadership and department heads to define and communicate the vision for new solutions and tools that increase business outcomes.
• Transform strategic goals into actionable product solutions, aligning technical capabilities with business priorities.
• Lead the end-to-end product lifecycle - from discovery and requirements gathering to release, implementation into the business process, and continuous optimization.
• Act as a bridge between business stakeholders and technical teams, ensuring clarity, alignment, and transparency at every stage. Work closely with engineering and design teams to ensure timely, high-quality delivery.
• Analyze existing business processes and identify opportunities for automation and improvement. Re-engineer processes and implement new, effective solutions.
• Collaborate with business analysts, product designers, development teams, and other departments to get measurable outcomes. Be able to cover niche projects or product stages independently. 

Qualifications

• 5+ years as a Product or Project Manager with product expertise in a fast-paced digital or tech-driven company, delivering innovations with positive measurable results.
• Experience leading cross-functional teams and delivering impactful results.
• Deep understanding of modern product and project management practices. 
• Good understanding of when development is needed or not needed to solve the problem.
• Strong analytical mindset with the ability to make data-informed decisions.
• Strong organizational, planning, and delivery skills are a must.
• Excellent communication with strong stakeholder engagement and alignment skills.
• Proven records in business process analysis, optimization, and digital transformation.
• Experience in building automations to optimize processes and manual tasks.
• Self-driven, highly organized, and comfortable working remotely across time zones.
• Proficiency in building no-code/low-code prototypes and tools to validate hypotheses in the early stages.
• Previous BA experience is a plus.
• Fluent in English (spoken and written).

What We Offer

• Opportunity to shape the backbone systems of a modern, data-driven digital company.
• Autonomy to lead meaningful projects from ideation to impact.
• A collaborative, innovation-first environment that values initiative and experimentation.
• Reduced working hours on Fridays during the summer.
• Schedule: Monday–Friday, 1:00/2:00 PM – 9:00/10:00 PM EET.

Why Join Us

You’ll be at the intersection of technology, process innovation, and business growth - building systems that empower our teams to work smarter, faster, and more collaboratively. If you’re a strategic thinker who loves turning complexity into clarity and ideas into scalable solutions, we’d love to meet you.

About us

We're an independent European digital product studio with a strong track record of delivering market-defining strategies and products for enterprises and governments. With about 200 talented people across three countries, premium AI capabilities and a diverse portfolio of international clients, we define, design and ship high-quality digital products, strategies and software. From global cloud-based platforms and large-scale apps to medical devices, banking software and augmented reality experiences. In a nutshell: if it lives and breathes digital, it’s what we do best.

Become a part of our team

At In The Pocket, you join a multidisciplinary team of designers, engineers, strategists and data specialists who care about the work as much as the people they work with. We work in small, autonomous teams that stay close to our clients and their users, and we give everyone the space to take ownership, speak up and grow. You’ll learn from colleagues across our studios, ship products that reach thousands or even millions of people and help shape what digital can do for leading organisations in Europe.

What you’ll do 

We are looking for a Senior Full Stack Web Engineer with a strong foundation in AI technologies. The ideal candidate will have hands-on experience building and deploying full stack web applications, along with a solid understanding of modern AI tools, APIs, and frameworks. This role requires someone who can architect scalable web solutions while integrating intelligent features powered by machine learning or AI models.

• Prototype and develop scalable and reliable software solutions
• Enforce quality through test-driven development
• Ensure maintainability by documenting code and solution
• Act as a mentor for colleagues and help sharing knowledge
• Translate business requirements in a robust, performant and secure technical solution.
• Effectively integrate AI tools (e.g., Copilot, ChatGPT) into the development workflow to optimize code writing, code reviews, and overall productivity.

Who you are 

• Proficient in modern front-end development: ES6+, HTML5, CSS3, and component-based frameworks such as React or Angular.
• Familiar with back-end fundamentals (Node.js, MongoDB, SQL, and messaging systems like AMQP) to collaborate effectively with API teams. Bonus: exposure to C# or Java.
• Deep understanding of web technologies: HTTP/HTTPS, HTTP/2, WebSockets.
• Skilled in API development: REST, GraphQL, JSON, OAuth, JWT, Swagger/OpenAPI.
• Strong grasp of software engineering best practices: Git, unit testing, code quality, CI/CD, documentation, dependency/version management, and monitoring.
• Solid instinct for software architecture, especially microservices and event-driven design.
• Experience with Docker and an interest in cloud platforms like AWS, GCP, or Azure.
• Awareness of security best practices (e.g., not hardcoding secrets).
• Apply advanced use of AI tools (Copilot, ChatGPT, Cursor and others) to accelerate high-quality software delivery, refine algorithmic solutions, and critically validate AI-generated output.
• Open to experimenting with AI-powered features in product development and tooling.
• Curious, eager to learn, and not afraid to ask questions.
• Enjoy exploring new technologies and frameworks through pet projects or research.
• Able to debug effectively using logs, stack traces, and error messages.
  Comfortable with the agility and pace of a growing or young company.
• Collaborative, proactive, and fluent in English.
• Bachelor’s in Informatics or Master’s in Computer Science (or equivalent experience).

What we offer  

Joining In The Pocket means becoming part of a team that shapes the future of our clients’ businesses across Europe. Here’s what you can look forward to:

• You’ll start with a permanent contract in a role that comes with responsibility and the opportunity to make a real impact from day one.
• We offer a competitive salary that reflects your experience and the value you bring.
• Our benefits package has you covered with medical insurance, meal vouchers, and more.
• You’ll have a mobility budget that lets you decide how to get around, your way. 
• Life at In The Pocket isn’t just about work, we host team events throughout the year to celebrate, connect, and have fun together.
• Learning never stops here, so after six months, you’ll receive a dedicated learning and development budget to keep growing your skills and exploring new horizons.

Location: Bucharest

About us:

IONOS is the largest cloud hoster in Europe and is setting up the foundation as European Cloud Provider. This includes not just offering storage that can compete with the American hyper-scalers, but that offers the full infrastructure stack, including AI & Machine Learning Products. As the largest hosting company in Europe, we manage more than 8 million customer contracts and host over 12 million domains in our own regional data centers in the US and Europe.

About the team:

The AI & ML Products Development department is responsible for building the platform for ML Services products for IONOS Cloud customers, as well as other companies in the United Internet group.

Our most recent product development features integration of GenerativeAI foundational models, LLMs and others. We run foundational models on prem in our cloud, such as Meta’s Llama, Mistral or StableDiffusion and also VectorDBs and offer them via APIs to our cloud customers.

We are also working with classic ML models for Computer Vision,  NLP), audio/voice  processing & predictions.

Our team is working with technologies such as HugginFace frameworks, TensorFlow, PyTorch, Keras, vLLM, notebooks, MLflow and others.

On the platform side, technologies: GoLang, Java, Spring Boot, REST APIs, Hibernate, SQL (PostgreSQL and MySQL) and NOSQL (Redis, MongoDB). 

We deploy everything to cloud-native Docker / Kubernetes environments, making use of GitHub + Actions, ArgoCD, Prometheus, and other modern cloud technologies.

You will work together with a creative and innovative group of people that love experimenting and learning new things. We are an international team that breaks barriers and solves real customer and business problems.

Main responsibilities:

Would you like to join the AI Technology team at IONOS (1&1 Internet), Europe’s leading cloud and web hosting provider? We are building a platform that provides AI solutions to customers worldwide, from GenAI / LLM inference, to model training, vector databases and much more.

We are looking for a Go Developer with Python knowledge to develop our AI Cloud platform, which provides GenAI and Machine Learning Services to customers in IONOS Cloud.

In this role, you will:

• Develop platform components, services and APIs, that integrate AI / ML services into our cloud products stack;
• Drive cloud-native implementation as part of a cross-functional team responsible for building our AI / ML platform that will provide AI-based products to our cloud customers, as well as internal clients and IONOS Group brands;
• Take part in all phases of development, maintenance and housekeeping of the platform;
• Work closely with Product Owners, Architects to define the best technical solutions that match our product vision;
• Collaborate with an international organization of software developers and AI enthusiasts.

We appreciate:

• Strong programming language in GO / Python, preferably more than one, and ecosystem knowledge with a 4+ years experience, or 7+ years for Senior level;
• Experience with cloud-native environments such as Docker, Kubernetes;
• Very good command of software design patterns and architectural concepts;
• Experience with building RESTful services;
• Ability to take on technical concepts and deliver solution for project initiatives;
• Microservice oriented architecture, performance and scalability concerns;
• Very good OOP and OOD experience;
• Experience with build tools and versioning systems, such as Git/GitHub/Gitlab, Actions, Jenkins, ArgoCD or similar;
• Good written and verbal English skills. 

Would be a plus:

• Product-oriented development mindset and a responsible ownership attitude towards software components;
• Previous experience integration AI / ML related solutions;
• Strong understanding of systems resilience, concurrency, and scalability concerns;
• Full-stack development skills are appreciated;
• Knowledge of Machine Learning technologies, working with data and ML models;
• Openness to take new approaches, learn new concepts and technologies;
• An open collaboration approach and transparent communication.

What we offer:

• Access to local/international trainings, development and growth opportunities, including access to e-learning platforms, covering both technical and soft skills areas;
• Modern technologies, product responsibility;
• Flexible work schedule;
• Hybrid work option;
• Medical services package from one of two private providers;
• 25 vacation days per year;
• Substitute days off for public holidays that occur on the weekend;
• Meal tickets;
• Internal referral program;
• Employee anniversary program;
• Team events, networking events organized to promote a passionate, creative and diverse culture;
• Summerfest and Winterfest parties;
• Of course, coffee, soft drinks and fresh fruits are on us in the office.

Our Partner

Our partner (listed on NASDAQ) is the leading expert in 5G ready cloud-native, network intelligence solutions for telecom operators transitioning to 5G. Their Network Intelligence consists of Network Visibility, Service Assurance, and Network Insights. The Network Intelligence suite offers intelligent, container-based, on-demand solutions to deliver network analysis from the RAN to the Core for 5G assurance. Utilizing automated and dynamic solutions with smart minimal data collection and on-demand troubleshooting and cutting-edge techniques based on machine learning, these solutions work in harmony to provide operators an understanding of the entire customer experience and allow them to troubleshoot network performance from a high to granular level while reducing storage costs and cloud resource utilization.

Role Overview

We are looking for a Python Software Engineer to join the AI Module project which enables operators gain valuable insights about their network and promote network improvement automation using AI and ML for real-time Anomaly Detection, Root Cause Analysis and automated resolution for corrective actions. If you’re passionate about using Python and visualizing data, we’d love to hear from you.

Responsibilities

• Design, develop and maintain scalable microservices using Python. Ensure these services are robust, secure, and capable of handling high data throughput.
• Develop dashboards / visualizations to complement the backend code.
• Monitor, improve the performance of microservices and related services that are being used (e.g. SQL Database). This includes (load) testing, identifying bottlenecks, finding solutions to scale.
• Work closely with researchers to implement business logic algorithms to solve use cases.
• Work collaboratively with cross-functional teams, including DevOps, IT, Product Managers, to align development with business goals.
• Strive for high-quality code, documentation, adhere to coding standards, and promote best practices within the team.
• Stay updated with the latest in Python, libraries, microservices, data visualization. Propose and implement innovative solutions to enhance our capabilities.

Requirements

Must Have:

• At least 2-3 years of experience in software development or equivalent skills. We know there are talented people out there who are young but highly skilled.
• A Bachelor’s degree in Computer Science or a closely related discipline.
• Solid Python programming skills with a deep understanding of frameworks such as FastAPI, pydantic, sqlalchemy, pymongo.
• Experience with SQL and NoSQL databases, understanding of data modeling, and efficient query optimization.
• Basic understanding of Machine Learning concepts. We’re not doing pure research but we want you to be able to understand from a high level how some algorithms and approaches work.
• Fair knowledge of containers (e.g. Docker/Podman, Dockerfile) and Kubernetes, they are everywhere these days.
• Flexibility, we are an agile team and we’re not afraid of fixing DevOps/GitOps/Infrastructure/OS/you-name-it issues.

Nice to Have:

• Knowledge of Kubernetes, Helm, be able to deploy a helm chart, debug containers.
• Basic knowledge of PowerBI / Tableu / Grafana / etc, how to make dashboards, view Timeseries data.
• Code performance oriented – early optimization is the root of all evil however we keep an eye on it.
• Visual Studio Code IDE fan.
• UI Skills, JavaScript / Typescript, React.
• Master’s degree in Computer Science, Engineering, or related field.

Reasons to Work with Us

• Competitive financial conditions.
• Opportunity to work on internationally recognized projects.
• Flexible schedule and a hybrid work model, prioritizing remote work as much as possible to support work-life balance.
• An exciting career path within a friendly, dynamic, and growing organization.
• Professional development opportunities in a multicultural environment.
• Private medical coverage with Medlife or Regina Maria.
• Meal vouchers.
• Gift vouchers for special occasions such as birthdays, weddings, or childbirth.
• Wellbeing programs, including sick days, 7Card subscriptions, and relaxation facilities in the office.
• Team-building events and other social experiences.
• Budget allocated for certifications relevant to your project.
• Workshops, internal training sessions, and knowledge-sharing opportunities.
• Convenient city-center office location.
• Shared parking spaces.

As a global digital transformation company, Orion values creating a productive, diverse work environment. We are committed to maintaining a positive work environment where our people value traits that make each one of us different from one another. We all bring a diverse set of perspectives, work and life experiences, and our differences make us more valuable both internally and for our clients.

Our Partner 

Our partner (listed on NASDAQ) is the leading expert in 5G ready cloud-native, network intelligence solutions for telecom operators transitioning to 5G. Their Network Intelligence consists of Network Visibility, Service Assurance, and Network Insights. The Network Intelligence suite offers intelligent, container-based, on-demand solutions to deliver network analysis from the RAN to the Core for 5G assurance. Utilizing automated and dynamic solutions with smart minimal data collection and on-demand troubleshooting and cutting-edge techniques based on machine learning, these solutions work in harmony to provide operators an understanding of the entire customer experience and allow them to troubleshoot network performance from a high to granular level while reducing storage costs and cloud resource utilization.

Role Overview

We are looking for a proactive and experienced Fullstack Java Developer to help migrate existing Node.js backend services to a robust Java-based architecture. This role is ideal for someone with a strong backend focus on Java, while also being comfortable working across the stack with modern frontend technologies like React or Angular. You will be responsible for designing, implementing, and maintaining scalable solutions, collaborating with cross-functional teams, and ensuring seamless integration across systems. You will be part of the Infra team within the Infra & Orch Group, which focuses on developing tools and processes for installing, configuring, and managing our Partner’s products. The Infra team is responsible for both in-house applications that support product infrastructure (such as user management, authentication integrations, and system configurations) as well as third-party open-source solutions, including databases (MongoDB, Vertica), monitoring tools (Prometheus, EFK), and other technologies like Kafka and MinIO. 

Responsibilities 

• Migrate backend components from Node.js to Java, using frameworks such as Spring and Hibernate. 
• Design and implement scalable, maintainable backend services and APIs. 
• Design data models and queries with Spring Data, optimizing for performance and scalability. 
• Work with NoSQL databases (e.g., MongoDB, Couchbase). 
• Services with Apache Kafka for message streaming. 
• Maintain and improve existing frontend components using HTML, CSS, JavaScript, and modern frameworks like React or Angular. 
• Collaborate with the product owner, architect, frontend developers, DevOps, and other team members on end-to-end product delivery. 
• Take end-to-end responsibility for backend features – from requirements gathering to production support. 
• Identify bottlenecks, bugs, and devise elegant solutions to mitigate and address them. 
• Implement best practices for code quality, testing, and performance optimization. 
• Write unit and integration tests for critical components. 
• Participate in code reviews and technical design discussions. 
• Deploy and manage microservices in containerized environments using Docker and Kubernetes. 

Requirements 

Must Have: 

• Bachelor’s degree or Master’s degree in Computer Science or Computer Engineering. 
• 5+ years overall Java developer experience.  
• Experience working with frameworks such as Spring, Hibernate, REST API. 
• Experience with NoSQL databases like MongoDB or Couchbase. 
• Strong understanding of JavaScript (ES6+) and asynchronous programming. 
• Experience implementing OAuth2, JWT and SSO mechanism. 
• Experience with authentication, authorization protocols and API security practices. 
• Familiarity with Git and version control workflows. 
• Basic understanding of Docker, Kubernetes, Helm and microservices. 
• Good understanding of software development principles and lifecycles. 
• Knowledge of CI/CD pipelines (e.g., Git, Jenkins). 
• Experience in NodeJs. 
• Fluent English. 
• Strong analytical and problem-solving skills. 
• Highly independent and self-motivated. 
• Good communication skills and the ability to work closely with frontend teams. 
• Proactive communicator, comfortable raising concerns and proposing improvements. 

Nice to Have: 

• Experience with TypeScript in Node.js applications. 
• Comfortable with frontend technologies like React, Angular (React preferred). 
• Familiar working with Vertica DB or other relational databases. 
• Familiarity with 3rd party tools (Grafana, Prometheus, ELK). 
• Understanding of message queues (e.g., Kafka, RabbitMQ). 
• Familiarity with Swagger or similar tools for API documentation. 
• Familiarity with Elasticsearch for search capabilities and log analytics. 

Reasons to Work with Us 

• Competitive financial conditions. 
• Opportunity to work on internationally recognized projects. 
• Flexible schedule and a hybrid work model, prioritizing remote work as much as possible to support work-life balance. 
• An exciting career path within a friendly, dynamic, and growing organization. 
• Professional development opportunities in a multicultural environment. 
• Private medical coverage with Medlife or Regina Maria. 
• Meal vouchers. 
• Gift vouchers for special occasions such as birthdays, weddings, or childbirth. 
• Wellbeing programs, including sick days, 7Card subscriptions, and relaxation facilities in the office. 
• Team-building events and other social experiences. 
• Budget allocated for certifications relevant to your project. 
• Workshops, internal training sessions, and knowledge-sharing opportunities. 
• Convenient city-center office location. 
• Shared parking spaces. 

As a global digital transformation company, Orion values creating a productive, diverse work environment. We are committed to maintaining a positive work environment where our people value traits that make each one of us different from one another. We all bring a diverse set of perspectives, work and life experiences, and our differences make us more valuable both internally and for our clients. 

About the role:

• Lead ASR quality improvement efforts, including error analysis, dataset curation, metric definition (e.g., WER and task-specific metrics), and model iteration.
• Analyze large-scale speech and text data to identify failure modes and drive targeted model and data improvements.
• Develop, train, and deploy machine learning models for speech recognition and downstream tasks such as classification, entity recognition, information extraction, and structured insight generation.
• Partner with applied research to translate experimental improvements into production-ready systems.
• Collaborate with product managers, platform engineers, and UX teams to align model quality metrics with customer and business goals.
• Optimize ML pipelines and evaluation workflows to operate efficiently and reliably at scale.
• Establish best practices for model validation, offline/online evaluation, and continuous quality monitoring in production.

• Deep experience with model evaluation, benchmarking, and error analysis for ML systems.
• Proficiency with ML frameworks and libraries (e.g., PyTorch, TensorFlow, Hugging Face).
• Solid understanding of modern ML techniques, including transformer-based models and large-scale training.
• Experience building data pipelines and tooling for large-scale experimentation and quality analysis.
• Strong passion for improving real-world AI system quality, with a track record of delivering measurable, production-grade improvements.

Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun, the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu, the co-founder of Google Contact Center AI and Vertex AI platform, and co-founder, Tim Shi, an early member of Open AI.

Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it's at Cresta.

About the role:

At Cresta, the Voice Platform team is on a mission to transform real-time voice infrastructure and contact center automation through AI-powered backend systems. As a Senior Software Engineer on the Voice Platform team, you’ll be responsible for designing, scaling, and operating the distributed services that power Cresta’s voice ecosystem.
You’ll drive major initiatives in areas such as SIP and WebRTC support, multilingual and translation pipelines, and real-time conversation intelligence. This role requires strong technical leadership, a passion for building reliable distributed systems, and the ability to collaborate across engineering and product teams to bring innovative features into production.

Responsibilities:

• Lead the design and development of scalable, distributed backend microservices in Golang (with some Python for AI-related services).
• Own and evolve voice platform integrations with large-scale enterprise communication and contact center systems.
• Drive initiatives to expand platform capabilities, including bi-directional SIP, WebRTC integrations, multilingual support, advanced transcription, and real-time translation.
• Build systems that power conversation intelligence for both remote and in-person interactions.
• Improve observability, reliability, and self-service troubleshooting across the platform.
• Ensure performance, scalability, and resilience of real-time voice pipelines running in the cloud.
• Collaborate with cross-functional teams (ML, product, solution architects) to design end-to-end solutions for customer deployments.
• Provide technical guidance, mentorship, and best practices to other engineers on the team.

Qualifications We Value:

• Bachelor’s degree in Computer Science or related field.
• 5+ years of experience in backend system development, distributed systems, or cloud infrastructure.
• Expertise in Go (or a similar systems language) with strong API and service design skills.
• Proven experience with scalable architectures using microservices, workflow orchestration, distributed caching, and cloud databases.
• Strong knowledge of Kubernetes, Docker, and modern cloud infrastructure.
• Solid understanding of networking, real-time communication protocols, and cloud security best practices.
• Demonstrated ability to lead complex technical projects from design through production.
• Bonus: experience with voice systems, telephony, or real-time media platforms

Conclusion:

Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, as well as applicable local pay requirements. We are actively hiring for this role in Romania, the US, and Canada. 

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.  If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai

Responsibilities:

• Work with the product manager to define and detail the product requirements
• Define software architecture and design matching the requirements
• Write and push high-quality code efficiently for both the frontend and backend
• Apply synchronous and asynchronous design patterns
• Scale distributed applications
• Identify and leverage opportunities to improve general engineering productivity
• Integrate with various tools for CI/CD, test automation, monitoring, logging, documentation
• Develop multi-tier scalable, high-volume performing, and reliable user-centric applications that operate 24x7

Qualifications We Value:

Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is the German Sebastian Thrun, the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu, the co-founder of Google Contact Center AI and Vertex AI platform, and co-founder, Tim Shi, an early member of Open AI.

We’ve assembled a world-class team of AI and ML experts, go-to-market leaders, and top-tier investors including Andreessen Horowitz, Greylock Partners, Sequoia, and former AT&T CEO John Donovan. Our valued customers include brands like Intuit, Cox Communications, Hilton, and Carmax and we’ve been recognized by Forbes and Bain Consulting as one of the top private AI companies in the world.

Join us on this thrilling journey to revolutionize the contact center workforce with AI. The future of work is here, and it's at Cresta.

About the role:

The Knowledge Assist (KA) team at Cresta builds AI solutions that help contact center agents access the right knowledge at the right time. Our projects include real-time generative assistance (GenKA), knowledge search (KS), retrieval-augmented generation (RAG) capabilities, and knowledge connectors to integrate with customer systems.

We are looking for a software engineer who enjoys working across the stack and thrives in a dynamic, fast-paced environment. While this role leans toward backend development, a full stack skill set is highly valued.

Responsibilities:

• Build scalable, reliable backend services that power real-time AI assistance and search.
• Design APIs and data flows to support integrations with knowledge bases and customer systems.
• Work across the stack when needed, including backend, frontend, and infrastructure layers.
• Collaborate closely with product managers, machine learning engineers, and fellow software engineers.
• Take ownership of projects end-to-end, from design through implementation and operation in production.
• Contribute to technical discussions, architecture reviews, and continuous improvement efforts.

Qualifications We Value:

• Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
• 3+ years of experience in software engineering roles.
• Strong backend development skills, preferably with Python, Go, Node.js, or similar languages.
• Proficiency in designing clear, maintainable APIs (e.g., REST, gRPC).
• Familiarity with frontend development (e.g., React or similar frameworks) is a plus.
• Experience working with databases (PostgreSQL, ClickHouse, Elasticsearch, or equivalents).
• Solid understanding of system design, distributed systems, and cloud platforms (AWS, GCP, or Azure).
• Clear communication skills and a collaborative working style.

Our Partner

Our partner delivers comprehensive solutions to oil companies and commercial fleets, improving profitability and optimizing performance from the forecourt to the head office. Be it the single transaction, network optimization or business analytics, our hardware, software, and services enhance the entire retail fuel network and fleet management value chains.  

Our partner's solutions are powered by IoT, secure cloud-based data storage, machine learning (ML) and artificial intelligence (AI) engines. Their solutions include cloud-based retail solutions including business insight, fuel retail network and convenience store management, service station automation and management, home-based station and fleet management, forecourt payment terminals and vehicle identification.  

Our partner's field-proven products are installed in more than 40,000 service stations and 7 million vehicles across 60 countries. Their solutions are distributed via an international network of subsidiaries and value-added partners. 

Role Overview

Join our journey in one of our amazing groups, developing our next-generation products and solutions for the Retail, Fuel and Energy industries.

Responsibilities 

• Develop infrastructure for the solutions’ architecture. 
• Construct low-level designs of development features. 

Requirements

Must Have:

• B.Sc. / B.A. in Computer Science / Software Engineering or related field.
• 5+ years of hands-on experience in C# (.NET) software development.
• 3+ years hands-on experience React.js.
• Experience with MS-SQL and familiarity with stored procedures.
• Experience with WCF OR RestAPI.
• Experience with Entity framework.
• Ability to analyze requirements and give technical solutions.
• Experience with Dependency injections.
• Professional-level English communication skills.

Nice to Have: 

• Experience with known protocols and 3rd party software / interfaces.
• Background in retail systems development.
• Experience with DevExpress reporting / Ext.NET components.
• Experience in implementing software interfaces.
• Experience with ASP.NET /ASP.NET Core/ HTML5, CSS & JavaScript.
• Experience with WinForm/WPF applications.

Reasons to Work with Us

• Competitive financial conditions.
• Opportunity to work on innovative products with a global impact.
• Collaborative and inclusive work environment.
• Professional development and growth opportunities.
• Flexible schedule and a hybrid work model, prioritizing remote work as much as possible to support work-life balance.
• An exciting career path within a friendly, dynamic, and growing organization.
• Private medical coverage with Medlife or Regina Maria.
• Meal vouchers.
• Gift vouchers for special occasions such as birthdays, weddings, or childbirth.
• Wellbeing programs, including sick days, 7Card subscriptions, and relaxation facilities in the office.
• Team-building events and other social experiences.
• Budget allocated for certifications relevant to your project.
• Workshops, internal training sessions, and knowledge-sharing opportunities.
• Convenient city-center office location.
• Shared parking spaces.

As a global digital transformation company, Orion values creating a productive, diverse work environment. We are committed to maintaining a positive work environment where our people value traits that make each one of us different from one another. We all bring a diverse set of perspectives, work and life experiences, and our differences make us more valuable both internally and for our clients.

Job Description

The Data & Information Architect is accountable for defining and embedding a shared Data & Analytics architecture. This role provides practical architectural guardrails, establishes clear ownership and decision rights for data domains, and enables analytics use cases to be delivered through standard, compliant patterns - without ad-hoc data handling or policy exceptions. You will work across product, platform, and domain teams to ensure data is modelled consistently, governed effectively, and usable for operational, analytical, and advanced analytics use cases.

Main Duties and Responsibilities

Data & Analytics Architecture

• Define, document, and maintain the target Data & Analytics architecture, covering data domains, ingestion pipelines, analytics layers, and access patterns.
• Contribute to the definition of architectural guardrails that explain what teams must do—not just what they must avoid.
• Provide approved (“golden path”) patterns for data ingestion, analytics, and reporting aligned with security, privacy, and governance requirements.

Common Domain & Canonical Modelling

• Define and govern the Common Domain Model, establishing shared semantic definitions for core maritime concepts such as vessel, seafarer, voyage, cargo, port call, certificate, and contract.
• Design and evolve a technology-neutral Canonical Data Model (CDM) to standardise data exchange for targeted integrations.
• Ensure consistency between operational data models and analytical representations to support reporting and advanced analytics.

Ownership, Governance & Decision-Making

• Establish and document clear ownership and stewardship for data domains, datasets, and analytics platforms.
• Define decision rights and resolve cross-domain data design conflicts in collaboration with domain and platform leaders.
• Drive metadata management, glossary definitions, and lineage standards to improve discoverability, traceability, and regulatory compliance (e.g. IMO, EU MRV, ESG).

Analytics Enablement

• Ensure the data architecture enables scalable reporting, self-service analytics, and ML-ready data without ad-hoc handling.
• Work with analytics and data scientists to align data structures, pipelines, and access patterns with real analytical use cases.
• Balance operational and analytical needs across real-time events, reporting, and historical analysis.

Collaboration & Architecture Practice

• Embed data architecture decisions into Architecture Decision Records (ADRs) and architecture review forums.
• Act as a bridge between domain experts, product managers, platform teams, and delivery teams to ensure data architecture is understood, adopted, and applied.
• Contribute to the evolution of platform-wide architecture standards and review practices.

Standards & Industry Alignment

• Align the company's data models with relevant maritime and logistics standards (e.g. S-100, IMO/ISO/EDIFACT, BIMCO, DCSA) where appropriate, while supporting proprietary innovation.
• Evaluate emerging data and analytics practices and recommend improvements aligned with the company's strategy.

Skills and Qualifications

• 5+ years’ experience in data architecture, information architecture, or enterprise data modelling roles.
• Strong expertise in canonical data modelling and semantic modelling across complex, distributed systems.
• Experience defining data architectures that support both operational and analytical use cases.
• Familiarity with event-driven architectures, APIs, and cloud-native data platforms (e.g. data lakes, data hubs, event buses).
• Proven experience working with domain-driven design (DDD) teams in agile product organisations.
• Ability to influence decisions and drive adoption without formal authority.

About the job

The world’s most critical--and at risk--business applications have been neglected for far too long. Onapsis eliminates this blind spot by providing cybersecurity solutions dedicated to business-critical applications. Whether running on premises, in the cloud, or in a hybrid environment, Onapsis helps nearly 30% of the Forbes Global 100 understand the threats and risks across their SAP and Oracle landscapes.

We are seeking a Senior Data Engineer to join our mission-driven team. This role is ideal for experienced data engineers with a proven track record in architecting scalable data pipelines, leveraging cloud technologies, and contributing to high-impact cybersecurity solutions. You will be responsible for building high-performance ETL frameworks, optimizing data platforms, and contributing directly to the enhancement of our customers' threat detection, response, and remediation capabilities.

What you will be doing, your legacy: 

You will be working directly with company Principal Engineers evaluating, scoping, proposing, and building features to fulfill business solution requirements to protect our customers. You will play a direct role in laying the technical foundation for a new product offering. Additionally, you will be working with Engineering and DevOps to deliver high-quality products and services while also working closely with security and IT professionals to ensure safe and secure best practices are followed. 

Responsibilities:

• Architect and Design Scalable Data Solutions: Design/develop/maintain Data lakehouse solutions (Iceberg/Delta Lake /Hudi) applying industry best practices and structuring / optimizing the data according to data access patterns.
• Data Pipeline Development: Implement ETL/ELT pipelines using cloud technologies (Spark / pySpark / Glue, Kinesis Streams / Iceberg) to load the data into a Lakehouse for both efficient ML processing and UI reporting.
• Implement data models and data processing frameworks (Spark, Kafka, Snowflake) to ingest, transform, and load large datasets into Data Lakehouse techs (Apache Iceberg, Apache Delta Lake or Apache Hudi), ensuring high availability and reliability of data.
• Advanced Data Integration: Develop solutions that integrate multiple data sources into Snowflake or similar data warehouses to enable real-time analytics and reporting across dashboards.
• AI/ML Integration: Collaborate with cross-functional teams to co-develop AI-driven features identifying patterns and anomalies in client data using AI/ML technologies (python).
• Compliance and Security: Ensure compliance with industry standards and secure best practices (SOX, SOC 1/2), by implementing data governance frameworks, monitoring data pipelines, and optimizing cloud database architectures to protect sensitive information.
• Stakeholder Collaboration: Work closely with stakeholders, including analysts, engineers, and product managers, to understand their data needs, propose solutions, and drive data-driven decision-making by delivering actionable insights.
• Data Infrastructure Monitoring: Continuously monitor, troubleshoot, and enhance data pipelines, leveraging CI/CD tools (Docker, Jenkins, GitHub Actions) and orchestrating workflows using Apache Airflow to maintain operational efficiency.
• Leadership and Mentorship: Provide hands-on mentorship and technical guidance to junior engineers, including code reviews and architecture discussions.
• Documentation and Governance: Establish comprehensive documentation for data architecture, governance, and processes to ensure scalability, compliance, and security.

Qualifications:

• 5+ years of proven experience as a Data Engineer or in a similar role with a deep understanding of data architecture and cloud-based ETL/ELT frameworks.
• Strong experience with AWS (preferably) or Azure , particularly with Glue, EMR, S3, Lambda. Databricks, Snowflake, Synapse experience is a bonus.
• Proficiency in big data technologies such as Apache Spark, Kafka, Hadoop, and Databricks for distributed data processing.
• Proficiency with Python libraries for data processing and ML (e.g., Pandas, NumPy, Polars, Scikit-learn, PyTorch, TensorFlow).
• Hands-on experience in building real-time data processing and AI/ML-driven analytics solutions (SageMaker, Bedrock, NLP, Power BI).
• Ability to architect and manage data lakehouse solutions (Iceberg / Delta Lake / Hudi) or classic warehouse solutions (Redshift, Snowflake).
• Familiarity with compliance and audit requirements (SOX, SOC 1/2, GDPR) and implementing data governance and security frameworks.
• Strong problem-solving skills with a focus on data integrity, scalability, and performance optimization.
• Experience with CI/CD tools (Jenkins, GitHub Actions, Docker) and data orchestration platforms (Apache Airflow).

Preferred Qualifications:

• Experience with advanced data architecture principles (medallion architecture, materialized views, task scheduling).
• Experience using BI tools (e.g., Power BI, Tableau) for real-time analytics and operational reporting

What we offer: 

• A role in shaping the future of protecting the most critical applications that run the world's business and a career that grows as the company grows.
• A unique culture of high achievement and teamwork.
• Supportive and humble colleagues are the space's top problem solvers and innovators.
• Financial security through competitive compensation and incentives.

Location: Onapsis is established a new development center in Bucharest. This is a hybrid role (1-2 days per week from the office), so candidates must be commutable to Bucharest every week.

About Onapsis:

Onapsis protects the business applications that run the global economy. The Onapsis Platform delivers vulnerability management, change assurance, and continuous compliance for business applications from leading vendors such as SAP, Oracle, and others. The Onapsis Platform is powered by the Onapsis Research Labs, the team responsible for the discovery and mitigation of more than 1,000 zero-day vulnerabilities in business applications.

Onapsis is headquartered in Boston, MA, with egional offices in Heidelberg, Germany; Buenos Aires, Argentina; Texas, USA, and now in Bucharest, Romania; and proudly serves hundreds of the world’s leading brands, including close to 30% of the Forbes Global 100, six of the top 10 automotive companies, five of the top 10 chemical companies, four of the top 10 technology companies, and three of the top 10 oil and gas companies. 

For more information, connect with Onapsis on LinkedIn or visit https://www.onapsis.com.

#LI-AC1

#LI-Hybrid

WHAT YOU'LL DO

Our Data Scientist, AI Deployment team is a group of creative technical experts who design and build end-to-end machine learning solutions that power 1-to-1 personalization for some of the world's leading brands. In this role, you will:

• Design ML use cases from the ground up — scoping solutions that optimize for real business value, accounting for the complexity of modern marketing journeys, and proactively identifying risks to set each engagement up for success
• Build and own the full ML pipeline —  taking customers' raw data through transformation, model training, and activation, so that model decisions are delivered to personalize experiences for millions of end users
• Drive customer success by providing ongoing technical guidance that ensures data science performance, successful adoption and measurable outcomes
• Extend product capabilities by developing features and tools that support the broader AI deployment team and scale what's possible across engagements
• Partner with the Braze Product team to refine and advance Braze's reinforcement learning algorithms, pushing the self-learning capabilities of the platform forward
• Shape BrazeAI product strategy and roadmap by bringing customer-facing insights and deep technical expertise to the table

WHO YOU ARE

• Education: Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required; Master’s or PhD in a relevant technical discipline preferred
• Experience: 3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments. Experience in customer-facing or consulting roles is strongly preferred
• Strong technical expertise: Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost). Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment
• Engineering best practices: You write well-structured, modular, documented code; follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews); and can build scalable, maintainable solutions
• Nice-to-have skills: Experience with DevOps tools (Airflow, Kubernetes, Terraform, GCP), data integration/ETL and pipeline optimization, or reinforcement learning algorithms
• Customer collaborator: Comfortable working directly with clients and cross-functional teams, aligning stakeholders, and translating technical concepts into clear business value
• Entrepreneurial problem-solver: You identify opportunities and risks early, troubleshoot obstacles, and drive creative solutions
• Continuous learner: You stay current with industry trends, explore new tools/technologies, and thrive in environments that push you to grow
• Clear communicator: Able to explain complex technical ideas persuasively to both technical and non-technical audiences

We are looking for a Senior ML Platform Engineer to join our ML Platform team to build, evolve and scale AI Infrastructure that powers Bolt's intelligent services

With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.

We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, age, or disability.

Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!

The ML Platform Team makes ML/AI easy at scale. We streamline development, testing and deployment of ML/AI systems for hundreds of real-time algorithms. 

We own training orchestration, an inference software stack and infrastructure, and a Feature Store, including VectorSearch and RAG tooling. We develop LLM tools and CI/CD for ML, covering the whole range of ML infrastructure needs.

Our tech stack includes TypeScript, Python, Spark (batch and structured streaming), Airflow, n8n, MLflow, LiteLLM, AWS SageMaker, Redis, Elasticsearch, Docker, Kubernetes, AWS (S3, EKS), Terraform, Great Expectations. 

• Designing, building, and optimising components of Bolt’s ML Platform.
• Optimise and extend our in-house Feature Store Platform serving billions of data points in real-time.
• Tune infrastructure (k8s and AWS) and build automations to achieve the best cost-performance.
• Proactively solve technical challenges, discover and build new features, enabling develop efficiency.
• Support our internal users and help with troubleshooting, and turn user problems into scalable solutions.
• Raise our product and technical quality bar, promoting software engineering best practices.

• 5+ years of experience in Software Engineering, out of which 2+ in ML/MLOPS/AI Engineering.
• Experience in leading and delivering complex cross-team projects.
• Production experience with Python, Spark, and Kubernetes.
• Experience in MLOPS and AI ecosystem, and developing end-to-end ML/AI solutions at scale.
• You strive for technical excellence while staying pragmatic to achieve outcomes for the users.

Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying!

• Accelerate your professional growth with unique career opportunities.
• Enjoy a rewarding salary and stock options, knowing that as Bolt succeeds, so do you.
• Take care of your physical and mental health with our wellness perks.
• Celebrate 5 years at Bolt with a 1-month paid sabbatical to recharge.
• Connect with colleagues at annual company events and smaller team gatherings.
• Balance flexibility and in-person collaboration with our hybrid model, including at least 12 monthly in-office days.

*Some perks may differ depending on your location and role.

WHAT YOU'LL DO

As our customer base continues to grow with the excitement around BrazeAI, we’re expanding our team! Join our Field Data Scientist group of creative technical experts who partner with customers to ensure their success. In this role, you will:

• Collaborate with customer Analytics/BI teams and Braze colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration
• Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components
• Work closely with the RL pipeline development team to refine and advance our reinforcement learning (self-learning) algorithms
• Contribute to shaping Braze's product strategy and roadmap through customer-facing insights and technical expertise
• Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success

WHO YOU ARE

• Education: Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required; Master’s or PhD in a relevant technical discipline preferred
• Experience: 3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments. Experience in customer-facing or consulting roles is strongly preferred
• Strong technical expertise: Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost). Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment
• Engineering best practices: You write well-structured, modular, documented code; follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews); and can build scalable, maintainable solutions
• Nice-to-have skills: Experience with DevOps tools (Airflow, Kubernetes, Terraform, GCP), data integration/ETL and pipeline optimization, or reinforcement learning algorithms
• Customer collaborator: Comfortable working directly with clients and cross-functional teams, aligning stakeholders, and translating technical concepts into clear business value
• Entrepreneurial problem-solver: You identify opportunities and risks early, troubleshoot obstacles, and drive creative solutions
• Continuous learner: You stay current with industry trends, explore new tools/technologies, and thrive in environments that push you to grow
• Clear communicator: Able to explain complex technical ideas persuasively to both technical and non-technical audiences

WHAT YOU'LL DO

As our customer base continues to grow with the excitement around BrazeAI, we’re expanding our team! Join our Field Data Scientist group of creative technical experts who partner with customers to ensure their success. In this role, you will:

• Collaborate with customer Analytics/BI teams and Braze colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration
• Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components
• Work closely with the RL pipeline development team to refine and advance our reinforcement learning (self-learning) algorithms
• Contribute to shaping Braze's product strategy and roadmap through customer-facing insights and technical expertise
• Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success

WHO YOU ARE

• Education: Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required; Master’s or PhD in a relevant technical discipline preferred
• Experience: 3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments. Experience in customer-facing or consulting roles is strongly preferred
• Strong technical expertise: Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost). Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment
• Engineering best practices: You write well-structured, modular, documented code; follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews); and can build scalable, maintainable solutions
• Nice-to-have skills: Experience with DevOps tools (Airflow, Kubernetes, Terraform, GCP), data integration/ETL and pipeline optimization, or reinforcement learning algorithms
• Customer collaborator: Comfortable working directly with clients and cross-functional teams, aligning stakeholders, and translating technical concepts into clear business value
• Entrepreneurial problem-solver: You identify opportunities and risks early, troubleshoot obstacles, and drive creative solutions
• Continuous learner: You stay current with industry trends, explore new tools/technologies, and thrive in environments that push you to grow
• Clear communicator: Able to explain complex technical ideas persuasively to both technical and non-technical audiences