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.

Location Qualifications: Bucharest (hybrid, 2x week in office)

Position Overview:

Ready to build the future of data at scale? We’re looking for a passionate Data Platform Engineer to join our high-impact, fast-moving Data Platform team—part of a dynamic and innovative Data organization that’s reshaping how we make decisions.

This is your chance to build and evolve a cloud-native, cutting-edge data platform that powers business insights and drives a data-first culture across the company.

💡 What You’ll Be Doing

🔧 Build for Scale: Architect and engineer robust, cost-efficient, and high-performing data infrastructure on AWS.

⚡ Streamline Data Flow: Design and optimize powerful ETL/ELT pipelines that connect systems and fuel smarter decision-making.

🛠️ Automate Everything: Use Infrastructure as Code (AWS CDK) to automate provisioning and manage platform resources seamlessly.

🚨 Stay Ahead of the Curve: Set up top-tier monitoring, alerting, and logging. Spot issues before they become problems—and solve them fast.

🧠 Think Big: Help shape our tech strategy and bring new ideas to life. You’re not just building systems—you’re building the future.

🔐 Be the Guardian of Data: Champion best practices in data governance, security (GDPR, CCPA), and quality.

📚 Document Like a Pro: Create clear, comprehensive platform documentation that your teammates will actually want to read.

🤝 Lead & Collaborate: Take the technical lead on initiatives. Work hand-in-hand with Data Science, Analytics, and Engineering teams.

🌱 Mentor & Grow: Share your knowledge, code wisdom, and best practices with the team. Raise the bar—and help others reach it.

👀 What We’re Looking For

Experience That Stands Out:

• You’ve built and run scalable data platforms in the cloud (AWS preferred).
• You know the difference between “good enough” and “engineering excellence.”

Mindset That Moves Us:

• 🧩 Problem Solver: Analytical, curious, and eager to tackle challenges head-on.
• 💬 Great Communicator: Can explain complex ideas in simple terms—both to engineers and to non-tech folks.
• 🤝 Team Player: You collaborate, share, and lift others up.
• 🚀 Self-Starter: You take initiative, own your work, and drive things to the finish line.

What We’re Looking For:

• Cloud & Data Services: AWS (S3, Glue, Lake Formation, Lambda, Redshift, Step Functions, IAM, VPC)
• IaC Mastery: AWS CDK (bonus if you’re fluent in TypeScript!)
• Coding Power: Strong in TypeScript and/or Python
• Data Lake Know-How: Medallion/zoned architectures, Parquet, Delta Lake, schema evolution—you get it
• DevOps/Software Craft: Git, CI/CD, testing, and agile engineering practices
• Containers: Experience with Docker, Kubernetes, ECS, or Fargate

Bonus Points

• Strong SQL skills
• Hands-on experience with DBT
• Familiar with data catalogs or governance tools
• Experience with streaming technologies (Kafka, Kinesis, Spark Streaming)

Company Highlights: 

Welcome to the new era of revenue effectiveness. The merger of Showpad and Bigtincan is creating the first AI-powered platform to strengthen the entire field selling motion.

By unifying two industry-acclaimed solutions for content, readiness, engagement, and intelligence into a single operating system, we are delivering unrivaled scale and accelerated growth for our 2,000+ combined customers worldwide, including leaders in manufacturing (Dow, Dupont), healthcare (Fujifilm, Kaiser Permanente, Johnson&Johnson), CPG (Smucker’s, Mitsubishi, Stanley Black & Decker), and enterprise tech (HID, CultureAmp, LastPass).

Acclaimed by analysts and adored by customers, we’re recognized as a Leader in the Forrester Wave™ Revenue Enablement Platforms, honored by Gartner as a Customers’ Choice in Revenue Enablement Platforms, and, together, endorsed by nearly 3,000 5-star customer reviews on G2.

United, we’re focused on powering the next generation of field selling success through a more holistic engine that creates lasting value for our customers and a new vision for our category.

Discover the revenue team outcomes we’re driving together at showpad.com.

#Li-hybrid #LI

Our Partner

Our partner is a fast-growing software company that builds networks like clouds. It offers communications service providers and cloud providers a radical new way to build networks, detaching network growth from network cost and increasing network profitability.

Our partner’s Network Cloud solution uniquely supports the complete virtualization of network and compute resources, enabling communication service providers and cloud providers to meet increasing service demands much more efficiently than with today’s monolithic routers.

Their software runs over standard white-box hardware and can easily scale network capacity by adding additional white boxes into physical network clusters. This unique disaggregated network model enables the physical infrastructure to operate as a shared resource that supports multiple networks and services. This unique network design also allows faster service innovation at the network edge, supporting multiple service payloads, including latency-sensitive ones, over a single physical network edge.

Role Overview

We are seeking a DevTest Engineer with a strong QA mindset and a passion for networking, who is not afraid to use AI‑driven tools to elevate and modernize testing practices. The ideal candidate thrives in a dynamic environment, takes ownership of quality, and actively applies modern technologies to enhance automation, efficiency, and overall testing impact.
We are looking for the best of the best talent that is capable of dreaming out of the box and can execute on the dream and turn it into real value for our customers.

Responsibilities

• Own QA testing activities as part of a Scrum team in an Agile environment.
• Design, write, and execute test plans; lead TP reviews; report and verify issues.
• Contribute to PI planning and define QA scope and activities within the team.
• Participate in daily meetings, proactively raising risks and blockers.
• Collaborate closely with Dev, DevTest, Product, and Architecture to deliver high-quality features.
• Develop and maintain automated tests in a Python environment.
• Triage and analyze failures from automation regression runs.
• Actively use AI-based tools to improve testing efficiency, coverage, and debugging.
• Contribute to improving test frameworks, methodologies, and QA processes

Requirements

Must have:

• Bachelor’s degree in computer science, engineering, or related field (or equivalent experience).
• At least 2 years of experience in QA Networking, or 5 years of experience in Networking Routing.
• Deep understanding in routing protocols: ISIS/OSPF, BGP.
• Network Knowledge: L2, L3, MPLS/LDP.
• Experience in test automation using Python (preferred), Java, or JavaScript, including working with frameworks such as pytest.
• Scripting capabilities (e.g., Bash/Python).
• Strong troubleshooting and root cause analysis skills.
• Experience with CI/CD tools (e.g., Jenkins, GitHub Actions, GitLab CI).
• Hands-on experience with AI coding assistants (e.g., Cursor, GitHub Copilot) or similar tools.
• Familiarity with LLMs and prompt engineering.
• Strong English communication skills (verbal and written).
• Willing to adapt and learn new things.

Nice to have:

• Minimum 2 years of experience in QA position.
• Experience with writing test plans and performing manual/automated tests.
• Familiarity with traffic generators (Ixia, Spirent).
• Segment-Routing, RSVP, L2VPN, L3VPN, Multicast– strong advantage.
• Experience with Ixia/Spirent tool.
• Linux knowledge: deep knowledge/experience with Linux.
• Experience with Docker or containerized environments.
• Experience working with Jira in Agile mode.
• Autodidact.
• Multitasking.

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.

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.                  

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 
Refer them! 

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its Design award winner for inclusivity for 2025.

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

With the growth of our Android app, being the most used text-to-speech app in the Play Store, we find the need for a Senior Android Engineer to help us support the new user base as well as work on new and exciting projects to push us forward.   

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Owning major features and working closely with our design team - take ownership of features inside the app and become responsible of delivering high quality features
• Shape the future of our Android team
• Own, maintain and improve reliability metrics for key features
• Participate in discussions across different teams - Product, Design, Engineering
• Review pull requests, and support other teammates
• Handle critical issues or cope with unexpected challenges 
• Take ownership of feature releases and provide nightly builds for the QA team

An Ideal Candidate Should Have

• 5+ years of software engineering experience
• Familiarity with Android components
• Experience building or contributing to at least one Android app
• Product design intuition and user empathy
• Drive to push the boundaries of Android UI/UX
• Understanding of the importance of tests and how to approach writing tests
• Self-drive to improve the app and codebase above and beyond what's outlined in the spec
• Rock solid experience with Kotlin, Kotlin Coroutines, Kotlin Flow, Dagger 2, MVVM, Clean Architecture, Background Services, Music Player Service, Android Animations, Jetpack Navigation, JUnit tests
• Excellent communication skills
• User oriented problem solving approach
• Driven with continuous feedback from leaders

Bonus:

• Experience building, maintaining, or otherwise contributing to open source projects in Android
• Experience with iOS, Web or NodeJS

Technologies we use:

• Kotlin
• Kotlin Coroutines
• Kotlin Flow
• Jetpack Navigation
• Dagger 2
• Room
• Custom Views, Canvas & Paint
• Jetpack Compose
• JUnit

What We offer:

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

About the Role

Technical Customer Support is our customers’ “hotline.” This is a department that has revolutionized the way we think about technical support. They face the challenging reality of one-on-one support and leave our customers with a positive impression, providing invaluable feedback to developers and testers.

We are now looking for Virtualization Backup Engineer (French speaker).

The Veeam Backup and Replication (VBR) is a reliable solution that lets us verify the recoverability of backups, recover instantly, and test upgrades in an isolated environment before putting them in production. The VBR technical support engineer is a trusted role providing technical assistance to fellow IT Professionals, using broad and in-depth troubleshooting skills and product knowledge to solve challenging technical issues.

What You’ll Do

• Performing troubleshooting and analysis, including log file investigation
• Acting as a technical focal point in relationships to fellow IT Professionals
• Taking ownership of the customer problem or issue from the beginning of a support case through resolution, troubleshooting on our end (in Veeam) as well as in 3rd party components from Microsoft and Vmware, checking if the issue is known or unknown if it’s a defect if it’s caused by misconfiguration, correcting it as break/fix scenario and educating the customer by explaining for the process and interaction works
• Documenting of all customer interactions accurately and within SLA in our CRM tool

What You’ll Bring

• Fluent French & English (reading/writing/speaking)
• Advanced user or administrative level with the following areas: Windows Server 2016 / 2019 / 2022 / 2025, Windows 10 / 11
• Practical knowledge of TCP/IP (OS, firewalls configuration) and networking configuration/troubleshooting (NAT, ports, DHCP, DNS)
• As a plus, UNIX and/or Linux knowledge, VMware ESX(i), Microsoft Hyper-V, Microsoft Exchange server administration, DataBase engines (SQL/Oracle)
• Ability to quickly learn, understand and explain technical information
• Ability and desire to take ownership of client issues through resolution
• Excellent time management skills
• Ability to work in a fast-paced environment

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-REMOTE

About the Role

Veeam is expanding its Site Reliability Engineering (SRE) organization to support Veaam services. As an SRE Team Leader, you will build and lead a high-performing team that partners with product, platform, and security engineering to make our systems reliable, scalable, and observable from the ground up. You’ll collaborate with peer engineering leaders to embed reliability into service roadmaps.

You’ll drive adoption of SRE principles (SLIs/SLOs/error budgets) and operate a healthy, daytime follow-the-sun on-call model in partnership with other regions. You will lead your team to make improvements in the overall operability, reliability, resilience, and security of the services we support.

What You’ll Do

People & Team Leadership

• Hire, onboard, and develop your SRE team
• Encourage culture that prioritizes learning and engineering over fault-finding and firefighting
• Ensure a sustainable operational coverage; monitor on-call health and workload

Reliability Strategy & Governance

• Establish and operationalize SLIs/SLOs and error budgets with service owners
• Run reliability reviews and hold teams accountable to outcomes
• Define reliability standards, runbooks, readiness checklists, and alerting patterns (including SLO-based alerting)

Operations & Incident Excellence

• Ensure incident response readiness
• Lead and coordinate major incidents
• Measure MTTR, change failure rate, SLO posture, and repeat-incident reduction

Engineering & Automation

• Lead software-first reliability investments: observability, resilience testing/chaos, and self-service guardrails
• Drive platform improvements and internal tools

What You’ll Bring

• 3+ years in managing Software, Platform, and/or Reliability Engineering
• Experience in IT Platform Engineering or Software Development 
• Demonstrable experience leading engineering teams to predictably deliver outcomes
• Demonstrated success leading SLO/error-budget adoption and reliability programs for services
• Experience leading cross-functional initiatives collaboratively with peers through influence
• Experience with public clouds, Kubernetes, IaC, CI/CD, and observability
• Hands-on incident management and postmortem practice
• Readiness to participate in an on-call rotation (typically during daytime hours, including weekends/holidays)

Bonus Skills

• Experience operating a multi-region follow-the-sun on-call model
• Background in chaos/resilience/performance testing
• Experience in building or scaling SRE teams and influencing org-wide standards
• Coding background with experience improving service reliability

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 the Romania, Veeam reserves the right to decline the application for this position.

#LI-Remote
#LI-JS4

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

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. As a Customer Success Engineer, you are the primary technical owner driving long-term customer outcomes across the Veeam Data Platform. You’ll lead onboarding, adoption, and optimization; proactively identify churn risk, migrations, and upsell opportunities; and apply deep disaster recovery and resilience (DR&R) expertise to conduct recovery simulations, DRMM assessments, and quarterly resilience reporting for measurable customer value

What You’ll Do

• Configure customer accounts; customize backup policies and storage; facilitate onboarding; orient stakeholders; walk through admin portals; introduce support channels.  
• Identify migration opportunities; analyze usage and environment; conduct success planning and strategy sessions; align business outcomes with product adoption.  
• Conduct assessments; build protection plans; recommend software products and architectures across the Veeam Data Platform.  
• Run recovery simulations; apply the Veeam Data Resilience Maturity Model (DRMM) to track and report resilience posture; deliver quarterly resilience reports.  
• Monitor signals to detect churn risk early; define mitigation plans; partner on renewal strategy with actionable technical insights.  
• Build business cases; define TCO; articulate value propositions for expansion; schedule checkpoint reviews with stakeholders.  
• Engage CISO/CIO stakeholders with clear risk, status, and opportunity updates; support context for executive discussions and roadmap alignment.  
• Collaborate on marketing-informed campaigns and plays to drive adoption and expansion.  
• Operate with a long-term account assignment model tied to ARR and growth potential, typically covering 5–50 Enterprise and Commercial-Named accounts with $100K+ ARR.  
• Own the technical success plan and adoption roadmap; influence pricing, commercial terms, and renewal terms in partnership with Sales and CS leadership

What You’ll Bring

• 5+ years in customer-facing engineering roles focused on data backup and recovery (e.g., Technical Consulting, Pre-Sales SE, Technical Account Manager); this is a mid-level role.  
• Advanced level of English (Spanish / German / French nice to have)
• Hands-on expertise across operating systems, virtualization, storage, scripting/automation, cloud platforms, and DR&R best practices.  
• Strong experience designing and executing protection plans, migrations, and recovery simulations; familiarity with Veeam platform capabilities is a plus.  
• VMCE certification required (may be completed post-hire within an agreed timeframe).  
• Preferred industry certifications: AWS Solutions Architect (Associate/Professional), Microsoft Azure Administrator or Solutions Architect Expert  
• Proven ability to translate business outcomes into technical adoption roadmaps and measurable value.  
• Executive stakeholder engagement skills (CISO/CIO) with the ability to synthesize technical, business, and risk signals into clear recommendations.  
• Excellent communication, cross-functional collaboration, and stakeholder management skills. 

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-AG2

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day.

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

With the growth of our iOS app, being the #18 productivity app in the App Store category and also our recent recognition as Apple's 2025 Design Award for inclusivity, we find the need for a Senior iOS Engineer to help us support the new user base as well as work on new and exciting projects to push our missing forward.   

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Opportunity to lead key engineering and product decisions
• Actively shipping production code for the Speechify iOS app
• Work within a dedicated product team
• Participate in product discussions to shape the product roadmap
• Maintain and enhance the existing complex app architecture

An Ideal Candidate Should Have

• Experience. You've worked on products that scaled to a large user base
• Track record. You have worked on various products from inception to decent traction. You have been responsible for engineering the product
• Customer obsession. We expect every team member whose responsibilities directly impact customers to be constantly obsessed about providing the best possible experience
• Product thinking. You make thoughtful decisions about the evolution of your product and support internal teams and designers into taking the right direction
• Speed. You work quickly to generate ideas and know how to decide which things can ship now and what things need time
• Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
• Technical skills. Swift, SwiftUI

Technical Requirements:

• Swift Programming Language
• SwiftUI experience
• Experience in Multithreading Programming
• Working with CI/CD infrastructure
• Experience with Fastlane
• SOLID principles, the ability to write every single class according to SOLID
• Experience with Git and understanding of different Git strategies

What We offer:

• A fast-growing environment where you can help shape the company and product
• An entrepreneurial crew that supports risk, intuition, and hustle
• The opportunity to make a big impact in a transformative industry
• A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture
• Work on a product that millions of people use and where daily feedback includes users sharing that they cried when they first found the product because it was so impactful on their lives
• Support people with learning differences like Dyslexia, ADD, Low Vision, Concussions, Autism, and Second Language Learners, and give reading superpowers to professionals all over the world
• Work in one of the fastest growing sectors of tech: Intersection of Artificial Intelligence and Audio

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace.

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

About the team:

Our mission is to  build a modern ecosystem used for all IONOS customer support needs. The tools developed by us are used in over 20 locations, by more than 2.000 users, supporting 8 million customer contracts in 10 markets.

The development team has full responsibility for the development lifecycle. This means we plan, develop, test and deploy our software without any other internal or external dependencies.

Our portfolio revolves around an internally built CRM which is now being enhanced with AI capabilities. 

About the product you will be building:

We are building a next-generation AI platform designed to redefine how our company interacts with customers. This isn't just a chatbot; it's a high-performance, multimodal AI ecosystem powered by state-of-the-art Speech-to-Speech (S2S) models, advanced Large Language Models (LLMs), and intelligent orchestration frameworks. Our platform will understand, reason, and respond across text and voice — while seamlessly executing real-time actions to resolve customer needs.

We are aiming for a hybrid architecture of Open Source LLMs, industry-leading proprietary models, and Model Context Protocol (MCP) to enable contextual reasoning, tool invocation, and seamless orchestration across systems. The goal is not just to talk to the customer, but to act on their needs.

What makes this project unique:

The Voice Frontier: We are building low-latency, emotive speech-to-speech pipelines for a truly natural voice channel experience.

Deep System Integration: Our platform connects directly to the company's core systems via MCPs, allowing the AI to access real-time customer context and execute complex workflows.

Self-Evolving Logic: We are developing  an automated QA and evaluation module that continuously analyzes interactions across channels.By programmatically measuring quality, accuracy, latency, and resolution outcomes, we can close the feedback loop, and adapt system behavior in hours, not weeks.

Hybrid Innovation: You’ll work at the intersection of "build vs. buy," integrating the best of the open-source community with custom-built internal infrastructure.

What's in it for you:

You won't just be shipping code; you’ll be part of making this concept evolve and shift.
You’ll join a friendly, experienced team where your voice matters and your contribution shapes real-world outcomes. You’ll work in a modern environment with technologies and practices that help us ship reliable software efficiently.

Role description:

As an AI Engineer on this team, you will build the core intelligence systems behind our multimodal AI platform.You will be responsible for moving beyond simple chat interfaces to build high-performance, real-time systems that handle complex reasoning, deep context retrieval, LLM orchestration, retrieval-augmented generation (RAG) and seamless voice interactions.

Main responsibilities:

• Design Agentic Workflows: Design and implement LLM-based systems that go behind response generation - enabling structured tool usage, workflow orchestration, and secure interaction with internal services via MCP (Model Context Protocol).
• Build and Optimize RAG & CAG: Develop high-performance Retrieval-Augmented Generation and Context-Augmented Generation pipelines to ensure accurate, relevant, and low-latency responses. Continuously improve context management, ranking strategies, and grounding mechanisms to support complex, multi-step interactions.
• Voice Channel Mastery: Develop and optimize real-time Speech-to-Speech (S2S) pipelines, focusing on streaming architectures, latency reduction  (including Time to First Word - TTFW) and maintaining a natural conversational flow.
• Evaluation, Quality & Alignment: Build and maintain an automated QA module, including LLM-as-a-judge patterns, to measure accuracy, safety, latency, and resolution quality at scale. Translate evaluation insights into systematic models and prompt improvements..
• Model Strategy & Hybrid Integration: Integrate and operate both commercial foundation  models (e.g., OpenAI, Anthropic, Google) and open-source alternatives (e.g., Qwen, Kimi, DeepSeek, Moonshot, GLM), selecting and optimizing models based on performance, latency, cost, and use-case requirements.

We are looking for some of:

• Strong Python and/or Java Engineering Skills: Advanced-level Python development experience, including  asynchronous programming (e.g., FastAPI, asyncio) and building high-performance, production-grade services. Experience with streaming architectures is a strong advantage.
• LLM Application & Multi-Agent Orchestration Experience: Hands-on experience building LLM-powered systems, including multi-step workflows, stateful agents, and tool invocation. Familiarity with orchestration frameworks such as LangChain, LlamaIndex, or LangGraph, particularly in building stateful, multi-turn agents.
• Advanced Retrieval & Context Management: Deep understanding of vector databases (e.g., Weaviate, Qdrant, pgvector, Elasticsearch), semantic search, embedding strategies, and re-ranking techniques. Experience designing and optimizing RAG pipelines.
• Real-Time & Low-Latency Systems: Experience in designing systems that operate under latency constraints, including streaming APIs, event-driven architectures, and performance optimization. Understanding of trade-offs between quality, cost, and response time.
• Evaluation-Driven Development: Experience in implementing evaluation frameworks for LLM-based systems, including automated QA pipelines and LLM-as-a-judge patterns.
• Familiar with API Design: knowledge of RESTful API design, OAuth2

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;
• 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 mission is to  build a modern ecosystem used for all IONOS customer support needs. The tools developed by us are used in over 20 locations, by more than 2.000 users, supporting 8 million customer contracts in 10 markets.

The development team has full responsibility for the development lifecycle. This means we plan, develop, test and deploy our software without any other internal or external dependencies.

Our portfolio revolves around an internally built CRM which is now being enhanced with AI capabilities. 

About the product you will be building:

We are building a next-generation AI platform designed to redefine how our company interacts with customers. This isn't just a chatbot; it's a high-performance, multimodal AI ecosystem powered by state-of-the-art Speech-to-Speech (S2S) models, advanced Large Language Models (LLMs), and intelligent orchestration frameworks. Our platform will understand, reason, and respond across text and voice — while seamlessly executing real-time actions to resolve customer needs.

We are aiming for a hybrid architecture of Open Source LLMs, industry-leading proprietary models, and Model Context Protocol (MCP) to enable contextual reasoning, tool invocation, and seamless orchestration across systems. The goal is not just to talk to the customer, but to act on their needs.

What makes this project unique:

The Voice Frontier: We are building low-latency, emotive speech-to-speech pipelines for a truly natural voice channel experience.

Deep System Integration: Our platform connects directly to the company's core systems via MCPs, allowing the AI to access real-time customer context and execute complex workflows.

Self-Evolving Logic: We are developing  an automated QA and evaluation module that continuously analyzes interactions across channels.By programmatically measuring quality, accuracy, latency, and resolution outcomes, we can close the feedback loop, and adapt system behavior in hours, not weeks.

Hybrid Innovation: You’ll work at the intersection of "build vs. buy," integrating the best of the open-source community with custom-built internal infrastructure.

What's in it for you:

You won't just be shipping code; you’ll be part of making this concept evolve and shift.
You’ll join a friendly, experienced team where your voice matters and your contribution shapes real-world outcomes. You’ll work in a modern environment with technologies and practices that help us ship reliable software efficiently.

Role description:

As a DevOps Engineer in this team you will  build the foundation of our internal AI Customer Care platform. You will be responsible for the "heavy lifting"—designing the distributed systems that power real-time speech-to-speech pipelines, orchestrating agentic workflows via MCP, and ensuring our AI scales without breaking a sweat.

Main responsibilities:

• Design, build, and maintain CI/CD pipelines in collaboration with development teams
• Improve and gradually redesign our infrastructure toward container orchestration
• Maintain and optimize Debian-based Linux systems
• Ensure high availability and monitoring across multiple data centers
• Contribute to observability, monitoring, logging, and incident response practices
• Automate infrastructure provisioning and configuration
• Maintain ISO security standards throughout the infrastructure 
• Handle vulnerabilities, ensure dependency tracking
• Work closely with developers to optimize deployment workflows and runtime environments
• Use AI tooling effectively (Claude, ChatGPT, internal MCP tools) to improve productivity and automation
• Architect Low-Latency Pipelines: Build and optimize the streaming infrastructure for Speech-to-Speech (S2S), ensuring sub-500ms round-trip latency for natural voice interactions.Experience with scaling and deploying in zones. Minimize hops between services. Experience with WSS & SRTP protocol would be a plus. 
• Hosting Specialized tooling: Host and maintain the specialized applications needed in our AI pipelines (eq. MCP servers, Vector store databases, Caching apps, etc..) Monitor and respond to unhealthy patterns (high memory, high cpu, low disk space, high latency).
• Data & Evaluation Plumbing: Host and maintain our Automated QA Module. Schedule jobs and design alerts that would need a rapid response (High hallucinations or low response quality for latest nightly run, etc..)

We are looking for some of:

• Strong Linux administration experience, preferably Debian-based systems
• Hands-on experience with Kubernetes in production environments
• Experience with cloud native architectures (design, build, operations)
• Solid understanding of networking fundamentals:
• Subnetting
• Routing
• BGP concepts and high-availability design
• Experience with CI/CD systems and infrastructure automation tools
• Good scripting skills (Bash, Python or similar)
• Ability to troubleshoot distributed systems
• Systems Expertise: DevOps knowledge: Docker or Docker Swarm, Kubernetes, ArgoCD, JFrog Artifactory, Infrastructure-as-Code, CI/CD, Helm, Prometheus, Terraform, Gitlab/Github CI, Grafana, Jenkins
• Familiar with monitoring stack: Prometheus/Grafana (Metrics), ELK (Logs) & Jaeger (Trace) etc.
• Best practices on how to secure systems and pipelines: OpenID Connect, OAuth 2, Hashicorp Vault, Keycloak, Keepass, Ansible-vault

Would be a plus:

• Experience with telephony gateways (Twilio, Amazon Connect) and SIP/RTP protocols  or other telephony platforms
• Experience migrating from VM-based infrastructure to container orchestration
• Exposure to AI-driven development workflows

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;
• 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.

About the team:

Our department's vision is to build a Data-Driven IONOS Group. Our mission is to connect AI and BI, to evolve our platforms and to empower our customers.
As the central provider of the BI platform for Corporate-, CTO-topics and state-of-the-art AI solutions we are supporting data driven decision making all across the IONOS Group.

Taking these strategic objectives the team focuses on the white spots in our CTO area which can be optimized with modern analytics abilities.

The team fulfills the full stack development lifecycle over each of the Plan, Build and Run responsibilities. This means we engineer requirements, develop, test and deploy our deliverables by always staying in close touch with our stakeholders.

On a functional project level as Business Intelligence team we are responsible for delivering insights on different data sources for our CTO area with its 11 divisions.

We are also currently building our new big data platform based on the IONOS cloud. Among other things, the platform uses Trino, Hive and Airflow. The whole system is orchestrated by a private managed Kubernetes.

If you are familiar with these keywords and even have practical experience in using these tools, this job could be the right job for you.

As a DevOps Engineer, you will actively help shape this new cloud big data platform together with your colleagues, share responsibility for the operation of our technical data processes, carry out deployments, and support operational stability.

The most important thing for us is that you have the mindset of a curious explorer, combined with a strong interest in implementing the best solution for the platform, the team, and the company.

What we'd like from you:

• Curiosity and independence in solving problems by taking over ownership;
• Desire to constantly acquire knowledge and share own knowledge;
• Experience with Kubernetes and containerization technologies;
• Knowledge of CI/CD technologies (such as ArgoCD, Terraform);
• System administration (Handling of Linux systems and applications);
• Confident handling of Linux systems and environments;
• Practical experience with networking concepts and technologies;
• Practical experience with Python programming and related frameworks.

If you join us you would:

• Express your experience in engineering software, platforms and support in operations of our analytics platforms;
• Contribute your existing experience to a dedicated team and collaborate across disciplines;
• Discuss and implement requirements with various stakeholders;
• Support other DevOps engineers across our department with your expertise.

Main responsibilities:

• The focus is on the operations part of our various platforms as well as their further development;
• First point of contact for all topics related to the operation of applications, like data pipelines or platform-related infrastructure processes;
• Basic requirements gathering and analysis for the implementation of additional platform services;
• Coordination with internal/external stakeholders within the organization for solution engineering or ensuring operations;
• Monitoring the operational processes for which you are responsible;
• Continuous and independent further development of operational process definitions;
• Collaboration with colleagues from different disciplines and levels of experience.

We appreciate:

• Minimum 5 years of experience in Operations or Software Engineering;
• Interest in understanding of new technologies and technology concepts.

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 is a fast-growing software company that builds networks like clouds. It offers communications service providers and cloud providers a radical new way to build networks, detaching network growth from network cost and increasing network profitability. Our partner’s Network Cloud solution uniquely supports the complete virtualization of network and compute resources, enabling communication service providers and cloud providers to meet increasing service demands much more efficiently than with today’s monolithic routers. Their software runs over standard white-box hardware and can easily scale network capacity by adding additional white boxes into physical network clusters. This unique disaggregated network model enables the physical infrastructure to operate as a shared resource that supports multiple networks and services. This unique network design also allows faster service innovation at the network edge, supporting multiple service payloads, including latency-sensitive ones, over a single physical network edge.

Role Overview

We are looking for the best of the best talent that is capable of dreaming out of the box and can execute on the dream and turn it into real value for our customers. Our automation system is one of the most important to our partner’s mission. 

Responsibilities

• Automate deployment, monitoring, and configuration management for complex networked systems. 
• Implement infrastructure-as-code (IaC) principles to streamline system automation.  
• Collaborate with networking teams to enhance automation in switching, routing, security, and virtualization.
• Troubleshoot and optimize network configurations through automation tools and scripting. 
• Work in a CI/CD environment, integrating automation into continuous deployment pipelines. 
• Develop and maintain APIs, microservices, and automation tools for system reliability. 
• Implement and enhance security best practices in automated systems.

Requirements

Must have:

• BSc/MSc in Computer Science, Software Engineering, or equivalent.
• 5+ years of relevant experience in the networking field.
• 3+ years of Python development experience.
• Networking Fundamentals:
  • Solid understanding of OSI and TCP/IP models.
  • IP addressing and subnetting (CIDR, VLSM).
  • Ethernet switching and VLANs (802.1Q, LACP).
  • IP routing fundamentals (static vs dynamic, convergence).
• Routing, MPLS & Segment Routing:
  • BGP fundamentals (iBGP/eBGP, path attributes, best-path selection).
  • OSPF fundamentals (areas, adjacencies, LSAs).
  • Basic IS-IS concepts (L1/L2, areas).
  • MPLS fundamentals (labels, LDP, L3VPN concepts).
  • Basic understanding of EVPN and VPWS.
  • Basic understanding of Segment Routing (SR-MPLS) and SRv6 concepts (SIDs, paths, steering).
• Network Automation Interfaces:
  • Experience with programmatic network interfaces (NETCONF, gNMI, and/or vendor APIs).
• Systems & Linux
  • Linux command-line basics and system troubleshooting.
  • Docker fundamentals (containers, images, basic networking).
• Automation & Python:
  • Strong Python skills for automation.
  • Experience with structured data (JSON, YAML, XML).
  • Working knowledge of object-oriented concepts (inheritance, composition).
  • Practical understanding of mixins, super(), and Method Resolution Order (MRO).
  • Experience using and extending versioned automation libraries.
• Pytest-Based Automation:
  • Strong experience with pytest.
  • Fixture usage and scope management (function/class/module/session).
  • Parameterization, including indirect parametrization (request.param).
  • Dynamic fixture selection and object construction.
  • Reliable setup/teardown and test state management.
• Test Reliability & Abstractions:
  • Managing stateful resources and preventing test leakage.
  • Using fixtures and/or context managers for transactional changes.
  • Familiarity with wrapper abstractions (retry, wait/polling helpers).
  • Awareness of parallel execution and resource contention issues.
• Traffic Validation & Observability:
  • Basic experience validating forwarding behavior using traffic generators or software-based tools (e.g., Ixia, Spirent, TRex, Scapy).
  • Ability to analyze logs and telemetry data (device logs, syslog, counters) as part of automated testing and troubleshooting.
• Security & Access Control:
  • Basic understanding of network access and authentication mechanisms (AAA, TACACS+, RADIUS).
• Code Quality:
  • Writing clean, maintainable automation code.
  • Experience working in shared codebases with version control.

Nice to have:

• AI-Assisted Automation:
  • Experience using AI tools to support automation development and troubleshooting.
  • Ability to clearly frame problems and ask precise questions.
  • Understanding AI limitations and the need to validate AI-generated output.
  • Comfort using AI as an assistive tool, not a runtime decision-maker.

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 is a fast-growing software company that builds networks like clouds. It offers communications service providers and cloud providers a radical new way to build networks, detaching network growth from network cost and increasing network profitability. 

Our partner’s Network Cloud solution uniquely supports the complete virtualization of network and compute resources, enabling communication service providers and cloud providers to meet increasing service demands much more efficiently than with today’s monolithic routers.  

Their software runs over standard white-box hardware and can easily scale network capacity by adding additional white boxes into physical network clusters. This unique disaggregated network model enables the physical infrastructure to operate as a shared resource that supports multiple networks and services. This unique network design also allows faster service innovation at the network edge, supporting multiple service payloads, including latency-sensitive ones, over a single physical network edge. 

Role Overview

We are looking for a software engineer to join our AI-Ops team as part of a rapidly evolving Network Automation project. This role focuses on building and operating production-grade services using Python, with exposure to Golang, in a distributed microservices environment leveraging technologies such as Kafka and Pulsar. If you enjoy solving complex operational problems, taking end-to-end ownership, and working close to real network systems, 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 traffic volumes.
• Continuously monitor and improve the performance of microservices and data pipelines. This includes load testing, identifying bottlenecks, and implementing solutions for scalability. 
• Work collaboratively with cross-functional teams, including DevOps, System Architects, Data Engineers, and Product Managers, to align development with business goals. 
• Take end-to-end ownership of services, from design and implementation through testing and deployment.
• Design and maintain automated tests (unit, integration, and system-level) to ensure reliability and long-term maintainability.
• Contribute to infrastructure and deployment automation, working closely with DevOps practices and tools to ensure services are observable, resilient, and production-ready.
• Maintain high-quality documentation for all code, adhere to coding standards, and promote best practices within the team. 
• Stay updated with the latest in Python, microservices, AI, and messaging technologies. Propose and implement innovative solutions to enhance our AI-Ops capabilities.

Requirements

Must Have:

• 3-5 years of experience in software development. 
• Solid Python programming skills with a deep understanding of frameworks such as Flask, FastAPI, or Django. 
• Experience with SQL and NoSQL databases, understanding of data modeling, and efficient query optimization. 
• Strong experience in developing and managing microservices architecture, with a focus on scalability, fault tolerance, and distributed systems.
• Experience taking ownership of services in production, including testing, deployment, monitoring, and troubleshooting.
• Bachelor’s degree in computer science, engineering, or related field (or equivalent experience).
• Working knowledge of computer networking fundamentals, including IP networking, routing, and troubleshooting in distributed systems.

Nice to Have:

• Experience with data stream processing pipelines and data analytics.
• Strong background in computer networking, including advanced routing and switching concepts (e.g., CCNP-level knowledge or equivalent experience).
• Knowledge of Docker and Kubernetes for containerization and orchestration. 
• Familiarity with CI/CD pipelines and tools like GitHub actions or K8s Helm charts. 
• Experience with Golang programming language or willingness to learn and contribute to Go-based services.

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 is a leader in high-scale disaggregated networking solutions. Founded in 2015, our Partner modernizes the way service providers, cloud providers and hyperscale’s build networks. Supporting the largest network in the world, more than half of AT&T’s backbone traffic is running on our Partner’s Network Cloud open disaggregated architecture. Raising $587 million in three funding rounds, our Partner is disrupting the networking market from high-scale architecture to AI platforms and is bringing onboard the most talented people. We are seeking people that want to make an impact on the world’s leading communication networks and are experienced in networking architecture or AI infrastructure solutions.

Role Overview

We are looking for an experienced QA Network Engineer - AI Sonic DC Solution who will execute comprehensive testing of AI datacenter networking solutions, focusing on SONiC-based systems, smart NIC integration, and high-performance networking for AI workloads.

Responsibilities

• Design large scale testing topologies with GPU/Traffic Generators and execute test cases for network operating system functionality.
• Validate smart NIC performance and integration with SONiC datapath.
• Perform functional, performance, and stress testing of AI networking scenarios.
• Develop automated test scripts for regression testing and continuous validation.
• Execute interoperability testing between different hardware vendors and software versions.
• Validate RDMA, high-speed Ethernet performance for AI workloads.
• Test failover scenarios and network resilience under various failure conditions.
• Document test results, file detailed bug reports, and track issue resolution.
• Collaborate with development teams to reproduce and isolate defects.
• Participate in customer proof-of-concept testing and field issue reproduction.

Requirements

Must Have:

• Bachelor's degree in Computer Science, Computer Engineering, Data Science or a related field.
• 5+ years of Networking experience, preferably in datacenter environments / as Network QA Engineer.
• Knowledge of networking protocols: BGP, VLAN, EVPN/VXLAN, QOS.
• Experience testing network hardware (switches, NICs, cables) and software integration.
• Experience with capturing traffic and deep knowledge of Ethernet/IP/TCP/UDP headers.
• Experience with networking concepts that influence traffic characteristics, such as Tunneling, NAT, QinQ, MTU, PMTUD.
• Experience with performance testing tools and traffic generators such as Ixia/Spirent.
• Linux Proficiency: In-depth knowledge of Linux, with testing experience.
• Containerization: Experience with Docker.
• Expertise in testing methodologies and hands-on experience with testing tools.

Nice to Have:

• Experience in testing AI Network solutions based on Infiniband or Ethernet.
• Knowledge in RoCE and AI DC Solution Designs.
• Knowledge in SONiC OS architecture and Linux networking stack.
• Experience with smart NIC programming and testing.
• Experience with network simulation tools (containerlab).
• Experience with large-scale datacenter testing environments.
• Proficiency in Python scripting for test automation.

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 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.

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.

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 

In this role, you will be responsible for designing, developing, and maintaining robust backend services that power our applications. You will work closely with frontend engineers, DevOps professionals, and cloud architects to ensure a seamless and efficient development process. You should also be a strong technical mentor, supporting and guiding colleagues to help the team grow.

• Design, develop, and implement backend APIs using secure and efficient programming languages and frameworks.
• Migrate and manage cloud infrastructure on platforms like AWS.
• Automate backend deployments and infrastructure provisioning using infrastructure-as-code (IaC) tools like Terraform.
• Optimize cloud resource utilization for cost-effectiveness and scalability.
• Implement robust security measures to protect applications and data in the cloud (OWASP).
• Troubleshoot and debug complex backend issues.
• Stay up-to-date with the latest trends and innovations in cloud technologies.
• Effectively integrate AI tools (e.g., Copilot, ChatGPT) into the development workflow to enhance code writing, code reviews, and overall productivity.
• Act as a mentor for colleagues, providing guidance, support, and knowledge sharing to help the team grow.

Who you are 

• Excellent knowledge of TypeScript (5+ years of experience).
• Proven experience working with cloud platforms like AWS.
• Experience with containerization technologies such as Docker and Kubernetes.
• Good knowledge of authentication technologies, including OAuth, OpenID Connect, and SAML.
• Strong knowledge of database technologies, both relational and NoSQL (MySQL, PostgreSQL, MongoDB, Redis).
• Good understanding of messaging and broker systems (Pub/Sub, RabbitMQ, Kafka, SNS, SQS).
• Solid understanding of security concepts and best practices (OWASP).
• Familiarity with DevOps practices, including infrastructure-as-code, observability, and CI/CD.
• Good understanding of quality engineering practices.
• Excellent problem-solving and debugging skills.
• Strong communication and collaboration skills.
• Passion for building high-quality, scalable, and secure software.
• Advanced use of AI tools (Copilot, ChatGPT, Cursor, etc.) to accelerate software delivery, refine algorithmic solutions, and critically validate AI-generated output.
• Knowledge of Domain-Driven Design (DDD) is an asset.

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.

Principal Engineer & CMS Platform Lead 

Location: [Remote / Europe / Israel/ Cyprus] 

Technology: TypeScript, Node.js, Next.js, CMS (Open-Source), AI Localization. 

About Kape Technologies 

Kape (LSE: KAPE, privatized 2023) is a global leader in the "Privacy-First" digital security era. We are the powerhouse behind the world’s most trusted consumer privacy brands. 

With over 7 million paying subscribers and a global team of 1,000+ experts across 10 locations, our mission is to provide complete digital autonomy. We believe that a free and open internet starts with state-of-the-art technology. As we scale toward the next 10 million users, we are consolidating our web infrastructure into a unified, next-generation content platform that matches the world-class engineering of our core VPN products. 

The Challenge 

You will lead the engineering squad responsible for retiring our legacy WordPress instances across brands. You aren't just building a website; you are building a Content Operating System powered by an open-source headless CMS at its core. This platform must support high-velocity PPC landing pages, complex multi-language blogs, and technical support hubs—all while maintaining the extreme performance and security standards expected of global privacy leaders. 

A key part of this role is evaluating and adopting an open-source CMS solution (such as Strapi, Payload CMS, Directus, or KeystoneJS) as the foundation of the new platform. You will assess these solutions against our requirements for extensibility, multi-tenancy, and API-first content delivery, and lead the customization and integration effort to make the chosen platform fit our multi-brand ecosystem. 

Key Responsibilities 

• Open-Source CMS Selection & Integration: Evaluate and lead the adoption of an open-source headless CMS (e.g., Strapi, Payload CMS, Directus, KeystoneJS) as the content backbone. Define selection criteria around extensibility, plugin ecosystem, multi-tenancy support, role-based access, and API performance. Own the customization roadmap to tailor the chosen solution to our multi-brand needs.
• Unified Architecture: Design a multi-brand, component-based headless system built on the selected open-source CMS. You will architect the "Core Engine" that allows all three brands to share high-performance components while maintaining unique visual identities. 
• Inheritance & Customization: Solve the "Parent-Child" challenge. Build a system where a global campaign (Parent) can be instantly deployed across dozens of regional versions (Children) with localized overrides and inherited SEO logic. 
• Infrastructure & Security Governance: Partner with DevOps to define the global delivery strategy. You will oversee requirements for Edge Computing (ISR/Edge Functions), WAF, and multi-layered caching (Redis/CDN) to ensure sub-second LCP (Largest Contentful Paint) globally. 
• AI-Powered Localization: Architect a native-feeling translation pipeline. Integrate LLMs to handle context-aware translations and build an AI "Quality Gate" that automatically checks pages for SEO health and UI regressions before they go live. 
• Visual Editor Implementation: Bridge the gap between engineering and marketing by leveraging the chosen open-source CMS's admin panel and extending it with a high-performance visual editing experience that doesn't bloat the frontend code. 

Technical Requirements (Hard Skills) 

• Next.js & React Mastery: Expert-level experience with the App Router, Server Components, and performance optimization for massive traffic (millions of monthly uniques). 
• Node.js/TypeScript Ecosystem: Deep experience building robust, type-safe APIs and microservices. Hands-on experience with open-source headless CMS platforms (Strapi, Payload CMS, Directus, or similar) is a strong advantage. 
• Multi-layered Caching: Professional-grade understanding of browser, server-side, and edge caching strategies. 
• Infrastructure Fluency: Ability to set precise tasks for DevOps and verify the integrity of deployments, proxying, and firewalling. 
• Technical SEO: Deep knowledge of how headless architectures impact crawlability, schema, and dynamic sitemaps. 

Why Join Kape? 

This is a rare opportunity to own the web platform for one of the biggest names in cybersecurity. You will have the budget and the mandate to move away from legacy debt and build a "Golden Path" for web development using the best of the JavaScript and open-source ecosystem—starting with a best-in-class headless CMS as the foundation.

Java Backend Engineer

Hybrid, Bucharest, Romania

JOB OVERVIEW

The Legion application is a high-performance data-driven Java enterprise application that implements sophisticated scheduling and optimization algorithms. It also provides the necessary endpoints for our Web and mobile frontend applications. As a Senior Software Engineer, you will be a member of the team responsible for the implementation and evolution of this application. You will need to be able to write secure, efficient, enterprise-quality Java code, and have a deep understanding of the techniques and technologies that are necessary for scalability and performance. You will also need knowledge and experience with data modeling and relational databases. Our application runs on AWS, so experience with containerization and cloud deployments is desirable. We're using Springboot, Hibernate, MySQL, and JSON, so familiarity with these technologies will be helpful. Frontend experience in JavaScript and Angular and/or React is a big plus.

RESPONSIBILITIES AND DUTIES

• Develop features with high quality and on-time
• Thorough understanding of product area 
• Assist with feature design along with CTO/Architect
• Develop features keeping in mind best coding practices including performance and user experience
• Own product quality
• Test features before asking QA engineers to test
• Write unit tests
• Work with QA engineers to test the product end-to-end
• Fix incoming bugs daily: Adhere to bug resolution goals and SLA
• Be able to demo the Legion product end-to-end
• Devise robust solutions that enable product engineering teams to rapidly deliver features in a scalable and performant manner
• Design, build, and support applications from End to End.
• Make data-driven technical decisions
• Use your deep technical knowledge to debug and solve complex technical problems
• Identify and resolve ambiguities in requirements in consultation with the various stakeholders
• Contribute to the long-term team charter and quarterly planning
• Mentor others on the team, and hold a high bar for code quality and standards by conducting design reviews, code reviews, and providing feedback
• Work with QA team to make the feature as Production ready.

REQUIRED SKILLS AND QUALIFICATIONS

• Bachelor's Degree in Computer Science, Engineering or related discipline
• Strong individual contributor with the ability to research
• 3-5 years with backend technologies (Java, Spring Boot, MySQL)
• 3-5 years working on building multi-tenant SaaS applications
• 3-5 years experience with designing and building APIs
• 3+ years delivering software in a cloud-based environment (AWS, GCP, Azure)
• Professional software development experience
• Proficiency in Java or C++, and object-oriented design skills
• Application architecture and design patterns
• Experience serving as technical lead throughout the full software development lifecycle, from conception, architecture definition, detailed design, scoping, planning, implementation, and testing to documentation, delivery, and maintenance is preferred
• Knowledge of professional software engineering and best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
• Experience in the development of distributed/scalable systems and high-volume transaction applications
• Proven ability to lead projects from inception to production
• Strong mastery in communication skills, software architecture design, writing technical documents
• Strong personal work ethic focused on prioritization, being action-oriented, and being driven to achieve positive results

PREFERRED QUALIFICATIONS AND ATTRIBUTES

• Proactive and able to command respect through intelligence, hard work, and persistence
• Personal passion and fervor for industry-leading next-generation technology
• Ability to operate in an environment with limited resources
• A great communicator who can distill powerful messages that resonate with customers 
• Track record of building positive relationships with peers 
• Continuous and thoughtful listener, able to learn from others and leverage input
• Strong personal work ethic focused on high-priority issues; action and results-oriented
• Unquestionable integrity, credibility, and character; demonstrated high moral and ethical behavior
• Proficiency with AWS products and services
• Experience in managing frameworks/systems for ensuring code quality such as Coverity, SonarQub, etc.

ABOUT LEGION

Join Legion's mission to turn hourly jobs into good jobs. We're a mission-driven team seeking exceptional talent to propel this vision. Embrace a culture that's collaborative, fast-paced, and entrepreneurial. With us, you'll grow your skills, work closely with experienced executives, and contribute significantly to our mission. Our award-winning AI-native workforce management platform is intelligent, automated, and employee-centric and proven to deliver 13x ROI. We help labor-intensive organizations maximize labor efficiency and employee engagement simultaneously. Legion has earned recognition for its innovation, including spots on the Inc. 5000 list, Forbes’ Next Billion Dollar Startups, and awards for our AI technology. Backed by leading investors such as Norwest Venture Partners, Stripes, First Round Capital, XYZ Ventures, Webb Investment Network, Workday Ventures, and NTT DOCOMO Ventures, we're making real change. If you're ready to make an impact and grow your career, Legion is where you belong. Join us in making hourly work rewarding and fulfilling.

BACKGROUND AND OPPORTUNITY

There are almost 75 million hourly workers in the United States, representing more than half of the entire workforce. Historically, managing hourly employees has been difficult due to high attrition (average of 60%) and high replacement costs (average of $3,200 per employee in retail). The ongoing labor shortage and competition from the gig economy, make it more difficult to attract and retain hourly employees. The top reasons hourly employees leave their jobs are a lack of schedule empowerment, poor communication with employers, and an inability to get paid early. Gen Z and the millennial workforce demand gig-like flexibility, modern technology, and compelling work options. Legion’s mission is to turn hourly jobs into good jobs, serving the hourly workers who make up the majority of the US workforce. We believe in empowering employees and helping employers be efficient and innovative by enabling intelligent automation powered by Legion’s Workforce Management platform to optimize labor efficiency and enhance the employee experience simultaneously. 

Legion WFM was built for the cloud with AI at the core and is designed to handle the complexity of modern businesses and meet the needs of today’s hourly employees. Our team is composed of dedicated individuals from all backgrounds and experiences, globally distributed across all time zones. For more information, visit https://legion.co 

COMPENSATION & BENEFITS

At Legion, we offer competitive compensation and benefits packages to all employees. As a hybrid employer in Bucharest, Romania, pay for positions is determined using local, national, and industry-specific survey data. We strive to make competitive offers allowing employees room for future growth. Salaries will be based on the applicant’s location, level of experience, education, and specialized knowledge and skills. Additionally, we consider the external market rate, the amount we have budgeted internally, and internal equity within the company for the same position. 

Benefits include, but are not limited to: 

• Health Benefits
• Paid Time Off and Paid Holidays
• Equity
• Monthly Wellness Reimbursement
• Meal Vouchers

EQUAL EMPLOYMENT OPPORTUNITY

Legion Technologies is proud to be an equal opportunity employer and is committed to maintaining a diverse and inclusive work environment. All qualified applicants will be considered for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, genetic information, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.

DISABILITY ACCOMMODATION

For individuals with disabilities who need additional assistance at any point in the application and interview process, please email recruiting@legion.co 

Senior Production Engineer

Hybrid, Bucharest, Romania

JOB OVERVIEW

Are you passionate about automation, cloud infrastructure, Kubernetes, and reliability engineering? As a Senior Production Engineer (SRE) at Legion, you will build and operate a secure, highly scalable, and cost-effective AWS/Kubernetes-based cloud platform. You will work across infrastructure automation, CI/CD pipelines, observability, and production reliability. Simply put, the SRE team ensures Legion’s platform is reliable, scalable, and continuously improving for our customers.

This role includes participation in an on-call rotation.

RESPONSIBILITIES AND DUTIES

• Support and operate Legion’s AWS-based cloud platform and Kubernetes (EKS) environments.
• Leverage GenAI tools (e.g., Claude Code, Codex, or similar) to accelerate infrastructure development, automation, and auto-remediation of common production issues.
• Build and maintain infrastructure-as-code using Terraform.
• Develop automation and internal tooling using Go or Python.
• Improve CI/CD pipelines to increase deployment safety and velocity.
• Define and improve monitoring, alerting, and observability systems.
• Respond to production incidents, conduct root cause analysis, and implement systemic improvements.
• Develop and automate operational runbooks and remediation workflows.
• Support production deployments, including during off-hours as needed.

REQUIRED SKILLS AND QUALIFICATIONS

• 5-8+ years of experience in SRE, DevOps, or SaaS production operations.
• 3+ years of hands-on experience operating production workloads in AWS.
• 5+ years of experience with observability tools such as Datadog, CloudWatch, ELK stack, Prometheus, or similar.
• 3+ years experience with Terraform and infrastructure-as-code practices, including managing complex multi-region deployments with module based configurations.
• 3+ years of experience with containerized environments using Docker and Kubernetes (EKS preferred); familiarity with Helm.
• Proficiency in Go or Python (or similar programming language).
• Experience building and maintaining CI/CD systems (Git-based workflows, Argo, Jenkins or similar).
• Strong Linux/Unix systems experience.
• Bachelor’s degree in Computer Science or equivalent practical experience.

PREFERRED QUALIFICATIONS AND ATTRIBUTES

• Experience managing AWS RDS and/or Aurora MySQL including slow query analysis, replication, and upgrade operations.
• Experience implementing SLIs/SLOs and reliability best practices.
• Experience working effectively with remote, distributed teams.
• Experience with supporting SOC 2 / ISO 27001 audits.

AWS certification preferred.

ABOUT LEGION

Join Legion's mission to turn hourly jobs into good jobs. We're a mission-driven team seeking exceptional talent to propel this vision. Embrace a culture that's collaborative, fast-paced, and entrepreneurial. With us, you'll grow your skills, work closely with experienced executives, and contribute significantly to our mission. Our award-winning AI-native workforce management platform is intelligent, automated, and employee-centric and proven to deliver 13x ROI. We help labor-intensive organizations maximize labor efficiency and employee engagement simultaneously. Legion has earned recognition for its innovation, including spots on the Inc. 5000 list, Forbes’ Next Billion Dollar Startups, and awards for our AI technology. Backed by leading investors such as Norwest Venture Partners, Stripes, First Round Capital, XYZ Ventures, Webb Investment Network, Workday Ventures, and NTT DOCOMO Ventures, we're making real change. If you're ready to make an impact and grow your career, Legion is where you belong. Join us in making hourly work rewarding and fulfilling.

BACKGROUND AND OPPORTUNITY

There are almost 75 million hourly workers in the United States, representing more than half of the entire workforce. Historically, managing hourly employees has been difficult due to high attrition (average of 60%) and high replacement costs (average of $3,200 per employee in retail). The ongoing labor shortage and competition from the gig economy, make it more difficult to attract and retain hourly employees. The top reasons hourly employees leave their jobs are a lack of schedule empowerment, poor communication with employers, and an inability to get paid early. Gen Z and the millennial workforce demand gig-like flexibility, modern technology, and compelling work options. Legion’s mission is to turn hourly jobs into good jobs, serving the hourly workers who make up the majority of the US workforce. We believe in empowering employees and helping employers be efficient and innovative by enabling intelligent automation powered by Legion’s Workforce Management platform to optimize labor efficiency and enhance the employee experience simultaneously. 

Legion WFM was built for the cloud with AI at the core and is designed to handle the complexity of modern businesses and meet the needs of today’s hourly employees. Our team is composed of dedicated individuals from all backgrounds and experiences, globally distributed across all time zones.

For more information, visit https://legion.co 

COMPENSATION & BENEFITS

At Legion, we offer competitive compensation and benefits packages to all employees. As a hybrid employer in Bucharest, Romania, pay for positions is determined using local, national, and industry-specific survey data. 

We strive to make competitive offers allowing employees room for future growth. Salaries will be based on the applicant’s location, level of experience, education, and specialized knowledge and skills. Additionally, we consider the external market rate, the amount we have budgeted internally, and internal equity within the company for the same position. 

Benefits include, but are not limited to: 

• Health Benefits
• Paid Time Off and Paid Holidays
• Equity
• Monthly Wellness Reimbursement
• Meal Vouchers

EQUAL EMPLOYMENT OPPORTUNITY

Legion Technologies is proud to be an equal opportunity employer and is committed to maintaining a diverse and inclusive work environment. All qualified applicants will be considered for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, genetic information, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.

DISABILITY ACCOMMODATION

For individuals with disabilities who need additional assistance at any point in the application and interview process, please email recruiting@legion.co 

Java Backend Engineer

Hybrid, Bucharest, Romania

JOB OVERVIEW

The Legion application is a high-performance data-driven Java enterprise application that implements sophisticated scheduling and optimization algorithms. It also provides the necessary endpoints for our Web and mobile frontend applications. As a Senior Software Engineer, you will be a member of the team responsible for the implementation and evolution of this application. You will need to be able to write secure, efficient, enterprise-quality Java code, and have a deep understanding of the techniques and technologies that are necessary for scalability and performance. You will also need knowledge and experience with data modeling and relational databases. Our application runs on AWS, so experience with containerization and cloud deployments is desirable. We're using Springboot, Hibernate, MySQL, and JSON, so familiarity with these technologies will be helpful. Frontend experience in JavaScript and Angular and/or React is a big plus.

RESPONSIBILITIES AND DUTIES

• Design and implement: Build scalable, high-performance, and secure features for our Time & Attendance engine, including time-tracking, scheduling rules, overtime logic, and labor compliance calculations.
• Leverage AI tooling daily: Use AI coding assistants and LLM-powered tools throughout your workflow — code generation, test scaffolding, code review acceleration, documentation, and debugging — and share learnings with your team.
• Own quality: Write comprehensive unit tests, integration tests, and collaborate on automated test suites. AI-generated code still needs rigorous human review and validation.
• Drive technical decisions: Participate actively in architecture discussions, propose solutions, and document trade-offs with clarity.
• Mentor and review: Give substantive code reviews, pair with junior engineers, and model best practices including responsible AI-assisted development.
• Collaborate cross-functionally: Work closely with Product Management, UX, and QA to translate business requirements into robust technical specifications and BDD scenarios.
• Troubleshoot production issues: Diagnose and resolve complex bugs in distributed, high-volume environments with urgency and care.
• Continuously improve: Identify and drive performance, scalability, and reliability improvements across the platform.
• Uphold security standards: Participate in security reviews and ensure implementations comply with industry standards and internal policies.

REQUIRED SKILLS AND QUALIFICATIONS

• Experience: 5-10+ years of professional software development with deep expertise in Java (or C++) in enterprise or SaaS environments.
• AI tooling proficiency: Demonstrated, habitual use of AI coding assistants (e.g., GitHub Copilot, Cursor, Claude Code, ChatGPT, Tabnine) in daily development - you should be able to describe specific workflows where AI tooling materially changed how you work.
• Backend depth: Strong command of Spring Boot, REST API design, Hibernate/JPA, and relational databases (MySQL or equivalent), including query optimization and indexing strategies.
• Distributed systems: Solid understanding of microservices architecture, asynchronous patterns, and high-volume transaction handling.
• Cloud & containerization: Hands-on experience with AWS and containerized deployments (Docker, Kubernetes).
• Software craftsmanship: Deep familiarity with coding standards, code review practices, CI/CD pipelines, and DevOps principles.
• Testing discipline: Proven ability to write and maintain unit tests, integration tests, and automated test suites - including for AI-generated code.
• Problem-solving: Demonstrated ability to troubleshoot and debug complex, multi-layered systems independently.
• Communication: Excellent written and verbal communication skills; able to document technical decisions clearly for both engineers and non-technical stakeholders.
• Education: Bachelor's or Master's degree in Computer Science, Computer Engineering, or equivalent practical experience.

PREFERRED QUALIFICATIONS AND ATTRIBUTES

• AI-native workflow: You've gone beyond autocomplete — you use AI for architecture brainstorming, test generation, spec drafting, PR summaries, and are actively experimenting with agentic coding tools.
• Workforce management or HCM domain experience: Familiarity with time-and-attendance, payroll, scheduling, or labor compliance systems is a significant advantage.
• Frontend exposure: Working knowledge of JavaScript and either Angular or React.
• Leadership track record: Experience informally leading feature teams, running design reviews, or serving as a technical point of contact for a product area.
• Performance engineering: Prior work on query optimization, caching strategies, or throughput/latency improvements in high-volume applications.
• Agile fluency: Comfortable operating in fast-paced sprint cycles with evolving requirements.
• Integrity and judgment: Demonstrated ethical behavior and sound judgment, including when evaluating AI-generated outputs for correctness, bias, and security implications.

In your interviews, we'll ask you to describe:

• Which AI coding tools you use and how frequently.
• A specific example where an AI tool helped you design, refactor, or debug something non-trivially.
• How you validate and review AI-generated code to catch errors, security issues, or performance problems.
• Your view on the limits of current AI coding assistants and where human judgment remains essential.

We are not looking for performative AI enthusiasm. We are looking for engineers who have genuinely integrated these tools into their craft and can think critically about their strengths and failure modes.

ABOUT LEGION

Join Legion's mission to turn hourly jobs into good jobs. We're a mission-driven team seeking exceptional talent to propel this vision. Embrace a culture that's collaborative, fast-paced, and entrepreneurial. With us, you'll grow your skills, work closely with experienced executives, and contribute significantly to our mission. Our award-winning AI-native workforce management platform is intelligent, automated, and employee-centric and proven to deliver 13x ROI. We help labor-intensive organizations maximize labor efficiency and employee engagement simultaneously. Legion has earned recognition for its innovation, including spots on the Inc. 5000 list, Forbes’ Next Billion Dollar Startups, and awards for our AI technology. Backed by leading investors such as Norwest Venture Partners, Stripes, First Round Capital, XYZ Ventures, Webb Investment Network, Workday Ventures, and NTT DOCOMO Ventures, we're making real change. If you're ready to make an impact and grow your career, Legion is where you belong. Join us in making hourly work rewarding and fulfilling.

BACKGROUND AND OPPORTUNITY

There are almost 75 million hourly workers in the United States, representing more than half of the entire workforce. Historically, managing hourly employees has been difficult due to high attrition (average of 60%) and high replacement costs (average of $3,200 per employee in retail). The ongoing labor shortage and competition from the gig economy, make it more difficult to attract and retain hourly employees. The top reasons hourly employees leave their jobs are a lack of schedule empowerment, poor communication with employers, and an inability to get paid early. Gen Z and the millennial workforce demand gig-like flexibility, modern technology, and compelling work options. Legion’s mission is to turn hourly jobs into good jobs, serving the hourly workers who make up the majority of the US workforce. We believe in empowering employees and helping employers be efficient and innovative by enabling intelligent automation powered by Legion’s Workforce Management platform to optimize labor efficiency and enhance the employee experience simultaneously. 

Legion WFM was built for the cloud with AI at the core and is designed to handle the complexity of modern businesses and meet the needs of today’s hourly employees. Our team is composed of dedicated individuals from all backgrounds and experiences, globally distributed across all time zones. For more information, visit https://legion.co 

COMPENSATION & BENEFITS

At Legion, we offer competitive compensation and benefits packages to all employees. As a hybrid employer in Bucharest, Romania, pay for positions is determined using local, national, and industry-specific survey data. We strive to make competitive offers allowing employees room for future growth. Salaries will be based on the applicant’s location, level of experience, education, and specialized knowledge and skills. Additionally, we consider the external market rate, the amount we have budgeted internally, and internal equity within the company for the same position. 

Benefits include, but are not limited to: 

• Health Benefits
• Paid Time Off and Paid Holidays
• Equity
• Monthly Wellness Reimbursement
• Meal Vouchers

EQUAL EMPLOYMENT OPPORTUNITY

Legion Technologies is proud to be an equal opportunity employer and is committed to maintaining a diverse and inclusive work environment. All qualified applicants will be considered for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, genetic information, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.

DISABILITY ACCOMMODATION

For individuals with disabilities who need additional assistance at any point in the application and interview process, please email recruiting@legion.co 

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