ML Engineer Jobs in Bucharest.
All active ML Engineer roles based in Bucharest.
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Kafka DevOps Engineer
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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.
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Apply to Verifone
Senior Domain Engineering Specialist - VDP
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Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.
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.
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The Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to us, will be processed by us in connection with our recruitment processes.
By applying for this position, you consent to the processing of your personal data in accordance with our Recruiting Privacy Notice.
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Apply to Veeam Software
OUR HIRING PROCESS:
- We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment.
- We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team.
- At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team.
- From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live.
INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy
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.
Ready to apply?
Apply to INFUSE
Senior Full Stack Web Engineer
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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.
Ready to apply?
Apply to In The Pocket
Python Software Engineer (Hybrid / Mostly Remote)
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Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education.
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.
Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
Candidate Privacy Policy
Orion Systems Integrators, LLC and its subsidiaries and its affiliates (collectively, “Orion,” “we” or “us”) are committed to protecting your privacy. This Candidate Privacy Policy (orioninc.com) (“Notice”) explains:
- What information we collect during our application and recruitment process and why we collect it;
- How we handle that information; and
- How to access and update that information.
Your use of Orion services is governed by any applicable terms in this notice and our general Privacy Policy.
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Software Engineer, Backend (Bucharest)
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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.
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. Your recruiter can provide further details.
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
Ready to apply?
Apply to CrestaStaff Software Engineer, Backend (Bucharest)
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Cresta is excited to expand our operations to Romania and build a tech hub in the region. These early joiners will play a key role in establishing our engineering team in Romania, helping to shape the future of the site. We are a remote-first environment, offering opportunities to work with a global team across Europe, the US, and Canada. Over time, we aim to create a co-working space in Romania, moving towards a hybrid environment.
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:
Cresta Insights: As a Staff full-stack engineer, with a backend focus, you will be at the forefront of shaping the future of customer engagement! As we work towards our vision, you'll be instrumental in delivering timely, actionable insights that drive business growth from day one. We're building a state-of-the-art Customer Data Platform, visualizing relevant insights for businesses post-onboarding and guiding customer engagement across all touch-points. Be part of the team that's redefining the way businesses connect with their customers!
Responsibilities:
- Design, implement, and maintain backend services and APIs to support applications.
- Build and optimize data storage solutions using Postgres, ClickHouse and Elasticsearch to ensure high performance and scalability.
- Collaborate with cross-functional teams, including frontend engineers, data scientists, and machine learning engineers, to deliver end-to-end solutions.
- Monitor and troubleshoot performance issues in distributed systems and databases.
- Write clean, maintainable, and efficient code following best practices for backend development.
- Participate in code reviews, testing, and continuous integration efforts.
- Ensure security, scalability, and reliability of backend services.
- Analyze and improve system architecture, focusing on performance bottlenecks, scaling, and security.
Qualifications We Value:
- Proven experience as a Backend Engineer with a focus on database design and system architecture.
- Strong expertise in ClickHouse or similar columnar databases for managing large-scale, real-time analytical queries.
- Hands-on experience with Elasticsearch for indexing and searching large datasets.
- Proficient in backend programming languages such as Python, Go.
- Experience with RESTful API design and development.
- Solid understanding of distributed systems, microservices architecture, and cloud infrastructure.
- Experience with performance tuning, data modeling, and query optimization.
- Strong problem-solving skills and attention to detail.
- Excellent communication and teamwork abilities.
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. Your recruiter can provide further details.
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
Ready to apply?
Apply to CrestaJunior Software Engineer (Internship)
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Cresta is excited to expand our operations to Romania and build a tech hub in the region. These early joiners will play a key role in establishing our engineering team in Romania, helping to shape the future of the site. We are a remote-first environment, offering opportunities to work with a global team across Europe, the US, and Canada. Over time, we aim to create a co-working space in Romania, moving towards a hybrid environment.
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 - Junior Software Engineer (Internship)
We’re looking for a Junior Software Engineer Intern for a 3-month summer internship who’s excited to learn, curious about how real systems work, and comfortable jumping across the stack with guidance from experienced engineers.
Location requirement: Candidates must be based in Cluj-Napoca or Bucharest.
- Build and improve backend services that power real-time AI features and search
- Help design and implement APIs for internal and external integrations
- Contribute across the stack when needed (backend, frontend, infrastructure)
- Work closely with product managers, ML engineers, and other software engineers
- Take tasks from implementation through deployment, with mentorship and code reviews
Participate in technical discussions and learn best practices through hands-on work
What We’re Looking For
- Bachelor’s degree in Computer Science or a related field (or currently pursuing one)
- Strong problem-solving skills and a solid foundation in computer science
- Familiarity with at least one backend language (Python, Go, Node.js, or similar)
- Basic experience working with APIs (REST, gRPC, or equivalent)
- Willingness to learn, ask questions, and collaborate with others
- Clear communication skills and a team-oriented mindset
- International programming or math olympiad prizes are a strong plus
(If applicable, please clearly include them in your resume.)
Nice to Have - 0–2 years of experience in software engineering (internships count)
- Exposure to databases like PostgreSQL, ClickHouse, Elasticsearch, or similar
- Basic understanding of system design, distributed systems, or cloud platforms (AWS, GCP, Azure)
- Some familiarity with frontend development (React or similar frameworks)
Hiring Process (Please Read Carefully)
- All applicants will automatically receive a coding challenge.
- We will only reach out to candidates who qualify based on their coding challenge results.
- Qualified candidates will then proceed to a series of technical interviews, followed by an HR interview.
Benefits
- 10,000 RON net monthly salary
- Opportunity to transition to a full-time role after the internship
- Equity in the company upon full-time conversion
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.
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
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Apply to CrestaSenior Machine Learning Engineer - Automatic Speech Recognition (ASR)
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About the role:
At Cresta, we are dedicated to building state-of-the-art Machine Learning systems that power real-time, intelligent customer interactions. Our team develops models and platforms that process large-scale, multimodal data—especially speech and text—to extract meaning, improve quality, and deliver actionable insights at scale. By combining applied research with strong engineering discipline, we enable organizations to continuously improve AI-driven experiences in production environments.A key focus of this role is advancing model evaluation, measurement, and quality improvements, with particular emphasis on Automatic Speech Recognition (ASR) and downstream NLP systems. You will design rigorous evaluation frameworks, define quality metrics, and drive systematic improvements to model accuracy, robustness, and reliability. You will work closely with applied researchers, product teams, and platform engineers to ensure that model performance improvements translate into measurable business impact.As a Senior Machine Learning Engineer, you will be at the forefront of applying modern ML and speech/NLP techniques to production systems. Your work will focus on improving ASR quality, building scalable evaluation and benchmarking infrastructure, and enabling continuous model iteration through data-driven insights.
- Design, implement, and maintain evaluation frameworks to measure model accuracy, robustness, latency, and real-world performance across ASR and NLP systems.
- 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.
- Master’s or Ph.D. in Computer Science, Machine Learning, AI, or a related field.
- 5+ years of hands-on experience building, evaluating, and deploying ML models in production.
- Strong background in speech recognition (ASR), speech processing, or closely related domains.
- 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.
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, and local minimum pay requirements as applicable.
This posting will be used to fill a newly-created role.
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
Ready to apply?
Apply to CrestaSenior Software Engineer, Backend (Bucharest)
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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
Ready to apply?
Apply to CrestaSenior Software Engineer, Frontend (Bucharest)
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Cresta is excited to expand our operations to Romania and build a tech hub in the region. These early joiners will play a key role in establishing our engineering team in Romania, helping to shape the future of the site. We are a remote-first environment, offering opportunities to work with a global team across Europe, the US, and Canada. Over time, we aim to create a co-working space in Romania, moving towards a hybrid environment.
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:
As a Senior full-stack engineer, with a front-end focus, you will be at the forefront of shaping the future of customer engagement! As we work towards our vision, you'll be instrumental in delivering timely, actionable insights that drive business growth from day one. We're building a state-of-the-art Customer Data Platform, visualizing relevant insights for businesses post-onboarding and guiding customer engagement across all touch-points. Be part of the team that's redefining the way businesses connect with their customers!
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:
- A deep understanding of the modern front-end ecosystem and experience applying frameworks/tools (React.js, Webpack, and Node.js) and patterns to complex, production web applications
- Comfortable defining and building robust APIs with a strong understanding for different protocols like Websockets, REST, RPC frameworks, etc
- Experience with database schema design and an understanding of query performance that translates to performant, scalable, and reactive products
- Deep appreciation for building applications with observability as a first-class principle and familiarity with application performance monitoring
- Preferably extensive experience coding in TypeScript and Go
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
Ready to apply?
Apply to CrestaAbout 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
Ready to apply?
Apply to Onapsis
At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew.
We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity – inside and outside our organization.
To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success.
Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture.
If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can’t wait to meet you.
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
WHAT WE OFFER
Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country here. More details on benefits plans will be provided if you receive an offer of employment.
From offering comprehensive benefits to fostering hybrid ways of working, we’ve got you covered so you can prioritize work-life harmony. Braze offers benefits such as:
- Competitive compensation that may include equity
- Retirement and Employee Stock Purchase Plans
- Flexible paid time off
- Comprehensive benefit plans covering medical, dental, vision, life, and disability
- Family services that include fertility benefits and equal paid parental leave
- Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend
- A curated in-office employee experience, designed to foster community, team connections, and innovation
- Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching
- Employee Resource Groups that provide supportive communities within Braze
- Collaborative, transparent, and fun culture recognized as a Great Place to Work®
ABOUT BRAZE
Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging.™ Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI™ allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement. From cross-channel messaging and journey orchestration to Al-powered decisioning and optimization, Braze enables companies to turn action into interaction through autonomous, 1:1 personalized experiences.
The company has repeatedly been recognized as a Leader in marketing technology by industry analysts, and was voted a G2 “Best of Marketing and Digital Advertising Software Product” in 2025.
Braze was also named a 2025 Best Companies To Work For by U.S. News & World Report, a 2025 America’s Greatest Companies by Newsweek, and a 2025 Fortune Best Workplace in Technology™ by Great Place To Work®, among other accolades. Braze is also proudly certified as a Great Place to Work® in the U.S., the UK, Australia, and Singapore.
The company is headquartered in New York with offices in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, São Paulo, Singapore, Seoul, Sydney and Tokyo.
At Braze, we strive to create equitable growth and opportunities inside and outside the organization.
Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience – regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you.
We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we’d love to meet you.
Please see our Candidate Privacy Policy for more information on how Braze processes your personal information during the recruitment process and, if applicable based on your location, how you can exercise any privacy rights.Ready to apply?
Apply to Braze
Senior ML Platform Engineer
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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.
#LI-Hybrid
Ready to apply?
Apply to Bolt Technology
At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew.
We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity – inside and outside our organization.
To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success.
Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture.
If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can’t wait to meet you.
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 WE OFFER
Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country here. More details on benefits plans will be provided if you receive an offer of employment.
From offering comprehensive benefits to fostering hybrid ways of working, we’ve got you covered so you can prioritize work-life harmony. Braze offers benefits such as:
- Competitive compensation that may include equity
- Retirement and Employee Stock Purchase Plans
- Flexible paid time off
- Comprehensive benefit plans covering medical, dental, vision, life, and disability
- Family services that include fertility benefits and equal paid parental leave
- Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend
- A curated in-office employee experience, designed to foster community, team connections, and innovation
- Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching
- Employee Resource Groups that provide supportive communities within Braze
- Collaborative, transparent, and fun culture recognized as a Great Place to Work®
ABOUT BRAZE
Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging.™ Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI™ allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement. From cross-channel messaging and journey orchestration to Al-powered decisioning and optimization, Braze enables companies to turn action into interaction through autonomous, 1:1 personalized experiences.
The company has repeatedly been recognized as a Leader in marketing technology by industry analysts, and was voted a G2 “Best of Marketing and Digital Advertising Software Product” in 2025.
Braze was also named a 2025 Best Companies To Work For by U.S. News & World Report, a 2025 America’s Greatest Companies by Newsweek, and a 2025 Fortune Best Workplace in Technology™ by Great Place To Work®, among other accolades. Braze is also proudly certified as a Great Place to Work® in the U.S., the UK, Australia, and Singapore.
The company is headquartered in New York with offices in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, São Paulo, Singapore, Seoul, Sydney and Tokyo.
At Braze, we strive to create equitable growth and opportunities inside and outside the organization.
Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience – regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you.
We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we’d love to meet you.
Please see our Candidate Privacy Policy for more information on how Braze processes your personal information during the recruitment process and, if applicable based on your location, how you can exercise any privacy rights.Ready to apply?
Apply to Braze
At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew.
We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity – inside and outside our organization.
To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success.
Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture.
If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can’t wait to meet you.
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 WE OFFER
Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country here. More details on benefits plans will be provided if you receive an offer of employment.
From offering comprehensive benefits to fostering hybrid ways of working, we’ve got you covered so you can prioritize work-life harmony. Braze offers benefits such as:
- Competitive compensation that may include equity
- Retirement and Employee Stock Purchase Plans
- Flexible paid time off
- Comprehensive benefit plans covering medical, dental, vision, life, and disability
- Family services that include fertility benefits and equal paid parental leave
- Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend
- A curated in-office employee experience, designed to foster community, team connections, and innovation
- Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching
- Employee Resource Groups that provide supportive communities within Braze
- Collaborative, transparent, and fun culture recognized as a Great Place to Work®
ABOUT BRAZE
Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging.™ Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI™ allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement. From cross-channel messaging and journey orchestration to Al-powered decisioning and optimization, Braze enables companies to turn action into interaction through autonomous, 1:1 personalized experiences.
The company has repeatedly been recognized as a Leader in marketing technology by industry analysts, and was voted a G2 “Best of Marketing and Digital Advertising Software Product” in 2025.
Braze was also named a 2025 Best Companies To Work For by U.S. News & World Report, a 2025 America’s Greatest Companies by Newsweek, and a 2025 Fortune Best Workplace in Technology™ by Great Place To Work®, among other accolades. Braze is also proudly certified as a Great Place to Work® in the U.S., the UK, Australia, and Singapore.
The company is headquartered in New York with offices in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, São Paulo, Singapore, Seoul, Sydney and Tokyo.
At Braze, we strive to create equitable growth and opportunities inside and outside the organization.
Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience – regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you.
We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we’d love to meet you.
Please see our Candidate Privacy Policy for more information on how Braze processes your personal information during the recruitment process and, if applicable based on your location, how you can exercise any privacy rights.Ready to apply?
Apply to Braze