The Data Platform Team @ Pave

The Data Platform team owns the data infrastructure that makes Pave work — connecting Pave's platform to the HRIS, EMS, ATS, and partner systems that power our customers' compensation workflows. Without reliable, high-quality integrations, none of Pave's products can deliver their full value. This is a high-leverage role at the core of Pave's platform strategy. This is also a rare opportunity to join as a founding engineer on the team - meaning you won't just be executing on a defined roadmap, but actively shaping how the platform evolves, what gets prioritized, and what engineering culture looks like from day one. As a Senior Software Engineer on the Data Platform team, you will design and build the connectors, pipelines, and platform capabilities that enable Pave to serve enterprise customers at scale. You'll have significant influence over the architecture and reliability of a system that touches every Pave customer.  

What You'll Do 

• Design and build new HRIS, EMS, ATS, and partner integrations, with a focus on enterprise-grade systems like Workday, BambooHR, and ADP
• Own integrations end-to-end — from connector design and data mapping through testing, rollout, and ongoing reliability
• Build and improve observability tooling — monitoring, alerting, and debugging infrastructure that gives the team and customers confidence in pipeline health
• Partner closely with product and go-to-market to prioritize connector coverage and unblock key deals
• Identify and address systemic reliability and scalability issues in Pave’s data platform

What You'll Bring

• 5+ years of experience building and shipping production-grade software, with meaningful exposure to integrations, data pipelines, or API platforms
• Strong understanding of integration patterns, API design, and the operational challenges of third-party data dependencies
• Experience working on enterprise B2B products and an understanding of the reliability and data quality standards they require
• Ability to lead technical projects with ambiguity — third-party APIs are rarely well-documented and requirements shift
• Execution oriented — eager to not only design solutions but dive into implementation and see them through to a reliable, monitored production state
• Experience with our tech stack: TypeScript, Node.js, React, GCP

Compensation, It's What We Do.

At Pave, we believe compensation should be as thoughtful as the people we hire. This role is structured as a B2B contract engagement — and your total rewards package includes meaningful equity, flexible PTO, and region-specific benefits designed around your life, not just your role. Your level and compensation are determined by your experience and how you show up throughout the interview process. We're always happy to walk you through how we think about leveling — just ask.

Benefits @ Pave

At Pave, growth isn't a perk — it's the point. As you develop, your role expands, your responsibilities deepen, and your compensation reflects the impact you're making.

We offer a monthly stipend to cover:

• Private Health Coverage: Comprehensive private healthcare to keep you and your wellbeing a priority — because great work starts with taking care of yourself.
• Sports & Wellness: A monthly wellness stipend to fuel your active lifestyle — whether that's a MultiSport membership or whatever keeps you moving.
• Life & Disability Protection: Life, AD&D, and permanent disability coverage so you and your family are protected when it matters most.
• Room to Keep Growing: A quarterly education stipend to invest in the skills and knowledge that matter most to you.
• Retirement Program: Monthly retirement contributions to help you build the kind of long-term financial security that lets you focus on the work in front of you.

What comes with working at Pave:

• Time That's Actually Yours: Flexible PTO to rest, recharge, and show up as your best self — no counting days, no guilt.
• Work From Anywhere: The freedom to work from anywhere in the world for a full month each year, because life doesn't pause and neither should you.
• Equipment: Top-of-the-line Pave hardware waiting for you on day one — no setup anxiety, just hit the ground running. 

The Communicate Team @ Pave

The Communicate team builds the products that help companies communicate compensation with clarity, transparency, and trust. As part of this team, you will own core experiences used every day by thousands of employees, managers, and candidates to understand pay, rewards, and compensation decisions. This is a rare chance to join as a founding engineer on a high-impact product team. You will help define not just what gets built, but how the team operates, shaping the roadmap, influencing technical direction, and helping establish the engineering culture from the ground up. As a Senior Software Engineer, you will play a key role in building elegant, enterprise-grade product experiences for some of the world’s leading companies. The team’s immediate focus is on expanding enterprise capabilities and building AI-powered compensation intelligence features that help companies make better pay decisions and give employees a clearer understanding of their compensation. 

What You'll Do

• Build end-to-end product experiences that help companies like OpenAI, Databricks, and Atlassian communicate compensation to employees & candidates
• Solve enterprise-scale challenges, designing products that perform reliably for organizations with 150,000+ employees
• Develop AI-powered compensation intelligence features that help leaders make better pay decisions and surface issues before they become retention risks
• Play a foundational role in shaping the team and product. As a founding engineer, you will help define the technical architecture, engineering patterns, testing practices, and quality standards the team will build on as it grows. You’ll partner closely with Product and Design to shape the roadmap, influence priorities, and help determine what gets built

What You'll Bring

• 5+ years of full-stack experience building customer-facing web applications
• Strong product instincts with an ability to translate product requirements and user feedback into thoughtful technical decisions
• Strong execution skills and a high bar for engineering quality, testing, and reliability
• Ability to bring clarity to ambiguous problem spaces, break complex work into concrete milestones, and stay focused on the highest-impact opportunities
• Collaborative technical leadership skills, with the ability to work effectively across Engineering, Product, and Design, drive sound technical decisions, and bring others along through clear reasoning and good judgment
• Experience with our tech stack: TypeScript, Node.js, React, GCP

Compensation, It's What We Do.

At Pave, we believe compensation should be as thoughtful as the people we hire. This role is structured as a B2B contract engagement — and your total rewards package includes meaningful equity, flexible PTO, and region-specific benefits designed around your life, not just your role. Your level and compensation are determined by your experience and how you show up throughout the interview process. We're always happy to walk you through how we think about leveling — just ask.

Benefits @ Pave

At Pave, growth isn't a perk — it's the point. As you develop, your role expands, your responsibilities deepen, and your compensation reflects the impact you're making.

We offer a monthly stipend to cover:

• Private Health Coverage: Comprehensive private healthcare to keep you and your wellbeing a priority — because great work starts with taking care of yourself.
• Sports & Wellness: A monthly wellness stipend to fuel your active lifestyle — whether that's a MultiSport membership or whatever keeps you moving.
• Life & Disability Protection: Life, AD&D, and permanent disability coverage so you and your family are protected when it matters most.
• Room to Keep Growing: A quarterly education stipend to invest in the skills and knowledge that matter most to you.
• Retirement Program: Monthly retirement contributions to help you build the kind of long-term financial security that lets you focus on the work in front of you.

What comes with working at Pave:

• Time That's Actually Yours: Flexible PTO to rest, recharge, and show up as your best self — no counting days, no guilt.
• Work From Anywhere: The freedom to work from anywhere in the world for a full month each year, because life doesn't pause and neither should you.
• Equipment: Top-of-the-line Pave hardware waiting for you on day one — no setup anxiety, just hit the ground running. 

The Impact You'll Drive

As a Senior ML Engineer (Speech Synthesis), you’ll be a founding member of the team building Telnyx’s next-generation speech synthesis systems. This is a greenfield opportunity — you’ll define the stack, architecture, and best practices for training and deploying state-of-the-art multilingual text-to-speech (TTS) models that power our voice AI agents.

You’ll build everything from distributed training pipelines to inference services that generate ultra-low-latency, lifelike voices across dozens of languages. Your work will bridge research and production — shaping how millions of people experience real-time conversational AI.

What You’ll Work On

• Own the stack from day one: Design and implement the ML training and inference pipelines for multilingual speech synthesis.
• Low-latency TTS: Engineer systems optimized for real-time, streaming speech generation with sub-100ms response targets.
• Train cutting-edge models: Build and fine-tune multilingual TTS systems using modern architectures — including LLM-based, diffusion, and flow-matching approaches.
• Massive-scale data processing: Develop pipelines for ingesting, aligning, and normalizing text, audio, and phonetic data across dozens of languages.
• Experimentation at scale: Run distributed training across multi-node GPU clusters, tracking results and iterating quickly.
• Cross-functional collaboration: Work with infrastructure and voice platform teams to deploy models that scale globally.
• Research meets production: Evaluate emerging techniques (LLM-guided synthesis, zero/few-shot voice cloning, full-duplex modeling) and bring them to life in production-grade systems.

What You’ll Work With

• Infrastructure: Docker, Kubernetes, Ray, Kubeflow, MLflow, Weights & Biases
• Data Systems: Kafka, Redis, PostgreSQL, Parquet
• You’ll define it: You’ll help select and implement the stack that supports distributed training, data processing, and inference for global deployment.

What We’re Looking For

• 6+ years of experience in machine learning or speech systems engineering
• Hands-on expertise with neural TTS, speech synthesis, or adjacent areas (ASR, voice cloning, multilingual modeling)
• You’ve obsessed over one or two hard problems, whether it’s building multilingual TTS from noisy data, teaching LLMs to speak, designing self-supervised audio encoders, or making diffusion models run in real time.
• Experience with LLM-based approaches to speech synthesis or prosody control
• Strong proficiency in Python and PyTorch
• Ability to deploy models efficiently (ONNX, TensorRT)
• Experience leading small teams and defining technical direction or team executables
• Production mindset: You build systems that run fast, stay stable, and are easy to maintain

Why Telnyx

You’ll be joining a company where voice, infrastructure, and AI converge. Telnyx is building the foundation for real-time, intelligent global communications — and your work on multilingual TTS will be at the core of that vision.



#LI-KG1
#LI-REMOTE

Are you passionate about designing and building technology that connects the physical and digital worlds? Do you thrive on leading complex projects and mentoring other engineers, while working with cutting-edge IoT devices?

Alarm.com is seeking a Senior Software Engineer to join our Protocols Team, which develops and maintains the communication backbone that powers millions of smart home devices worldwide.

In this role, you will drive the design and delivery of robust, scalable solutions that enable seamless device interoperability. You will collaborate across teams to define technical strategy, guide architecture decisions, and ensure high-quality implementation. Your work will directly influence the performance, security, and reliability of our platform.

If you enjoy solving challenging problems, improving processes, and mentoring future engineering talent, we would love to talk to you.

Alarm.com values working together and collaborating in person. We are building a new team in Krakow. Our employees work fully from the office with possibility to work remotely occasionally.

What You Will Do

• Lead the design, development, and maintenance of full-stack software across diverse platforms and technologies.
• Architect solutions that balance scalability, performance, and maintainability for device protocol communications.
• Research emerging technologies and champion adoption where they can bring significant value.
• Guide the software development life cycle from requirements gathering through deployment, monitoring, and optimization.
• Collaborate with product managers, QA, and other engineering teams to deliver impactful solutions.
• Make strategic technical decisions, setting direction for projects and influencing the broader team’s approach.
• Mentor junior and mid-level engineers, providing code reviews, architectural coaching, and career guidance.
• Contribute innovative ideas and drive continuous improvement in both product and process.

What You Bring

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field, or equivalent professional experience.
• 5+ years of professional software development experience, with proven success in delivering complex projects.
• Advanced object-oriented programming skills, preferably in C#.
• Strong experience with database design, SQL, and backend services.
• Proficiency with modern JavaScript frameworks such as Ember.js, Angular, or React a plus.
• Experience in the IoT and/or home automation field is a plus.
• Solid track record of implementing and improving unit testing and automated testing strategies.
• Experience in distributed systems, real-time communications, or high-performance applications.
• Excellent communication skills and ability to lead cross-functional collaboration.

Why You Will Love Working Here

• Collaborate with exceptional peers. Work alongside talented engineers who value innovation and excellence.
• Shape technical direction. Influence architecture decisions that impact millions of connected devices globally.
• See your impact. Watch your solutions interact with and power IoT hardware in real-world environments.
• Mentor and grow talent. Help guide the next generation of engineers while building high-performing teams.
• Work with cutting-edge technology. Our stack includes C#, .NET, SQL Server, Kafka, Ember.js, and native iOS/Android apps.
• Long-term employment based on a permanent employment contract (CoE).
• Attractive benefits package: including medical care, life insurance, sports package, annual budget for professional development ($2,000).

COMPANY INFO

Alarm.com is the leading cloud-based platform for smart security and the Internet of Things. More than 7.6 million home and business owners depend on our solutions every day to make their properties safer, smarter, and more efficient. And every day, we’re innovating new technologies in rapidly evolving spaces including AI, video analytics, facial recognition, machine learning, energy analytics, and more.  We’re seeking those who are passionate about creating change through technology and who want to make a lasting impact on the world around them. 

EBS Sp. z o.o. is a dynamically growing Polish technology company with over 35 years of experience, specializing in the development of smart security solutions. We are part of the American corporation Alarm.com, a leading global provider of intelligent security solutions for homes and businesses.

For more information, please visit www.alarm.com or ebssmart.com

Alarm.com is an Equal Opportunity Employer

 In connection with your application, we collect information that identifies, reasonably relates to, or describes you ("Personal Information"). The categories of Personal Information that we may collect include your name, government-issued identification number(s), email address, mailing address, other contact information, emergency contact information, employment history, educational history, criminal record, and demographic information. We collect and use those categories of Personal Information about you for human resources and other business management purposes, including identifying and evaluating you as a candidate for potential or future employment or future positions, recordkeeping in relation to recruiting and hiring, conducting criminal background checks as permitted by law, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies. By submitting your application, you acknowledge that we may retain some of the personal data that you provide in your application for our internal operations, such as managing our recruitment system and ensuring compliance with labor laws and regulations, even after we have made our employment decision.We will retain this data for a maximum of 3 years after the end of the recruitment process. The data administrator is EBS Sp. z o.o.

Job Type: Full-Time Experience Level: Senior (7+ years)

We are looking for an experienced Senior Python Developer who excels at designing and architecting large-scale systems. In this role, you will be responsible for leading the development of robust, high-performance software platforms from the ground up. You’ll define architecture, guide technical decision-making, and ensure that our systems are reliable, maintainable, and built for growth. While experience with AI and automation is a plus, your core strength will be scalable architecture, distributed systems, and engineering leadership. You’ll collaborate across teams to deliver systems that power critical business functions and enable innovation.

Essential Duties and Responsibilities:

• Architect, design, and implement large-scale, distributed systems using Python
• Build and maintain scalable, secure, and high-performance platforms
• Design data processing pipelines to handle large volumes of structured and unstructured data
• Collaborate with product and engineering teams to translate business needs into technical solutions
• Drive code quality, performance, and maintainability through reviews, standards, and mentorship
• Ensure solutions meet scalability, availability, and reliability requirements
• Integrate AI/ML components where appropriate to enhance system capabilities
• Stay current with modern architecture patterns, tools, and best practices.

What You’ll Bring

• Proven track record in architecting and delivering complex, high-scale systems
• Strong proficiency in Python for backend development
• Expertise in distributed systems, microservices architecture, and API design
• Experience with vector databases (e.g., ClickHouse)
• Proficiency with containerization (Docker) and orchestration (Kubernetes)
• Familiarity with data engineering concepts (ETL, batch, and streaming pipelines)
• Strong problem-solving skills and ability to make high-impact technical decisions
• Excellent communication and leadership skills

Experience and Qualifications Required:

• Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field.
• Proficient English.
• 7+ years of experience developing end-to-end scalable solutions using Python.
• Experience as a leader, managing and mentoring other engineers.
• Experience with vector databases

Experience with Kubernetes Preferred:

• Proven leadership in extracurricular activities or community involvement, showcasing the ability to take initiative and lead in diverse environments.
• Track record of exceptional personal achievements, such as awards, competitions, or ambitious self-driven projects, reflecting discipline and a high level of motivation.
• Published research or contributions to open-source projects.
• Experience with AI domains such as NLP, computer vision, or reinforcement learning.
• Experience with frameworks (TensorFlow, PyTorch, Scikit-learn)

We work 3 days at Kaseya Krakow office per week, which is mandatory.

The Data Platform Team @ Pave

The Data Platform team owns the data infrastructure that makes Pave work, connecting Pave's platform to the HRIS, EMS, ATS, and partner systems that power our customers' compensation workflows. Without reliable, high-quality integrations, none of Pave's products can deliver their full value. This is a high-leverage role at the core of Pave's platform strategy. This is also a rare opportunity to join as a founding engineer on the team - meaning you won't just be executing on a defined roadmap, but actively shaping how the platform is architected, what gets prioritized, and what engineering culture looks like from day one. As a Staff Software Engineer on the Data Platform team, you will set the technical direction for how Pave builds, scales, and operates its integrations infrastructure. You'll have a direct line from your architectural decisions to product capabilities and customer outcomes.

What You'll Do

• Assess the existing integrations infrastructure and drive high-impact architectural changes that improve reliability, performance, and developer experience
• Set the technical direction for how Pave builds and operates its connector and pipeline platform at scale
• Design and build new partner integrations and establish patterns that make future integrations faster to deliver
• Own data quality end-to-end, building validation, anomaly detection, and confidence signals that ensure customer data is accurate and up to date
• Build and scale the normalization layer that transforms messy, inconsistent data from thousands of customers into Pave's canonical data model
• Evaluate and apply AI to data normalization challenges, including automated field mapping, entity resolution, and data quality detection to improve data quality and reduce the manual effort of onboarding new customers
• Build and improve observability tooling: monitoring, alerting, and debugging infrastructure that gives the team and customers confidence in pipeline health
• Partner with product, go-to-market, and engineering leadership to shape the integrations roadmap and surface technical tradeoffs and investment needs
• Mentor and uplevel the engineers around you, creating leverage through coaching and the standards you set

What You'll Bring

• 8+ years of experience building and shipping production-grade software, with significant depth in integrations, data pipelines, or platform infrastructure
• Demonstrated ability to assess an existing system, identify structural weaknesses, and deliver architectural improvements that have lasting impact
• Deep understanding of integration patterns, API design, and the operational challenges of third-party data dependencies at enterprise scale
• A track record of working across team boundaries and influencing technical direction without direct authority
• Strong judgment in prioritization - able to sequence a large surface area of work and create as much value through what you simplify or kill as through what you ship
• Execution oriented - equally comfortable defining the architecture and rolling up your sleeves to drive implementation

Compensation, It's What We Do.

At Pave, we believe compensation should be as thoughtful as the people we hire. This role is structured as a B2B contract engagement — and your total rewards package includes meaningful equity, flexible PTO, and region-specific benefits designed around your life, not just your role. Your level and compensation are determined by your experience and how you show up throughout the interview process. We're always happy to walk you through how we think about leveling — just ask.

Benefits @ Pave

At Pave, growth isn't a perk — it's the point. As you develop, your role expands, your responsibilities deepen, and your compensation reflects the impact you're making.

We offer a monthly stipend to cover:

• Private Health Coverage: Comprehensive private healthcare to keep you and your wellbeing a priority — because great work starts with taking care of yourself.
• Sports & Wellness: A monthly wellness stipend to fuel your active lifestyle — whether that's a MultiSport membership or whatever keeps you moving.
• Life & Disability Protection: Life, AD&D, and permanent disability coverage so you and your family are protected when it matters most.
• Room to Keep Growing: A quarterly education stipend to invest in the skills and knowledge that matter most to you.
• Retirement Program: Monthly retirement contributions to help you build the kind of long-term financial security that lets you focus on the work in front of you.

What comes with working at Pave:

• Time That's Actually Yours: Flexible PTO to rest, recharge, and show up as your best self — no counting days, no guilt.
• Work From Anywhere: The freedom to work from anywhere in the world for a full month each year, because life doesn't pause and neither should you.
• Equipment: Top-of-the-line Pave hardware waiting for you on day one — no setup anxiety, just hit the ground running. 

Role Summary and Impact 

As part of the Global Operations Centre (GOC), you will work closely with teams across the United States, Europe, and Asia to deliver high-impact solutions in a collaborative, multicultural environment. We are searching for a skilled and innovative Cypher/Graph Engineer to join our Data & Technology Solutions team. In this role, you will be instrumental in designing, building, and optimizing graph database solutions that uncover complex relationships within our vast datasets, driving new insights for our clients and powering advanced features within WPP Open. If you have a deep understanding of graph theory, are proficient in Cypher, and are passionate about leveraging connected data to solve real-world problems in AdTech, we encourage you to apply. 

You are: 

• A specialist in graph databases, with hands-on experience in modelling, querying, and managing connected data. 
• A strong problem-solver, adept at translating complex business problems into graph-based solutions and efficient Cypher queries. 
• Collaborative and communicative, able to work effectively with data scientists, data engineers, and product teams to integrate graph insights. 
• Performance-minded, always seeking to optimize query performance and ensure the scalability of graph solutions. 
• Continuously curious, staying abreast of the latest developments in graph technologies and algorithms. 

What You will do:

Design and Implement Graph Database Solutions 

• Design and develop robust graph data models to represent complex relationships within various datasets, catering to specific business use cases in AdTech, marketing, and client intelligence. 
• Implement, configure, and maintain graph databases (e.g., Neo4j) in cloud environments (AWS, GCP). 
• Write, optimize, and troubleshoot complex Cypher queries to extract, transform, and analyze data efficiently, supporting analytical and operational requirements. 
• Work closely with data engineers to establish seamless data ingestion pipelines for populating and updating graph databases. 

Apply Graph Algorithms and Enable Analytics 

• Identify opportunities to apply graph algorithms (e.g., shortest path, community detection, centrality, PageRank) to uncover hidden patterns and insights within our interconnected data. 
• Collaborate with data scientists to develop and integrate graph-based features for machine learning models and AI applications on the WPP Open platform. 
• Develop APIs and services to expose graph database functionalities and insights to downstream applications and internal tools. 

Ensure Performance, Scalability, and Maintainability 

• Monitor and optimize the performance of graph databases and Cypher queries to ensure efficient data access and processing at scale. 
• Contribute to the architectural design and scaling strategies for our graph database infrastructure. 
• Implement best practices for graph database management, including backup, recovery, and security. 
• Ensure the reliability and maintainability of graph solutions through proper documentation, testing, and version control. 

Collaborate, Educate, and Innovate 

• Serve as a subject matter expert on graph databases and Cypher, providing guidance and training to other engineering and data science teams. 
• Actively participate in architectural discussions, code reviews, and technical decision-making processes. 
• Research and evaluate new graph technologies, tools, and methodologies to continuously improve our capabilities and competitive edge. 

 Skills and Experience 

If this opportunity looks right for you, we are looking for candidates who have:  

• 2-5 years of professional experience in a role focused on graph databases, data engineering, or software engineering with significant exposure to graph technologies. 
• Proven expertise and hands-on experience with Cypher query language is essential. 
• Demonstrated experience with at least one major graph database platform (e.g., Neo4j, Graph API). 
• English fluency B2/C1 
• Strong understanding of graph data modeling principles and best practices for representing complex relationships. 
• Proficiency in at least one modern programming language (e.g., Python) for data integration, API development, and scripting. 
• Familiarity with common graph algorithms and their practical applications. 
• Experience working in a cloud environment (GCP preferred), including deploying and managing database services. 
• Understanding of data warehousing concepts and experience with data integration/ETL processes. 
• Strong analytical and problem-solving skills, with the ability to diagnose performance issues and design efficient solutions. 
• Excellent communication skills, capable of explaining complex technical concepts to both technical and non-technical audiences. 
• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related quantitative field, or equivalent practical experience. 

Life at WPP Media & Benefits 

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include access to internal learning platforms, certifications, and training sessions, life insurance, medical care & sports card in Medicover, funding for English language learning, employee mental health awareness day, and more.  

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. We are committed to offering equal opportunities to all employees, which is why we only establish collaborations based on employment contracts. 

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office two days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. 

Following a detailed review of all applications, we will contact those candidates whose qualifications and stated terms of cooperation most closely align the objectives of our recruitment process.

The controller of your personal data is the WPP Media Poland sp. z o.o.The personal data you provide will be processed for the purpose of the recruitment process.  By providing us with personal data beyond the scope required by the Labour Code, you consent to the processing of such data for the purposes of the recruitment process.  Consent may be withdrawn at any time. Withdrawal of consent does not affect the lawfulness of the processing carried out prior to its withdrawal. For evidence purposes, please withdraw your consent in writing or by email to RODO@wppmedia.com. 

The Job in short

Where Innovation Meets Excellence! We're transforming the banking industry with cutting-edge technology and unparalleled customer experiences. Be part of a dynamic team that's redefining the future of digital banking. Together, we'll create groundbreaking solutions and achieve incredible success. Your journey to making a real impact starts here!"
Backbase created the Backbase Engagement Banking Platform – a unified platform with the customer at the center, helping banks orchestrate seamless journeys across every stage of the customer lifecycle.
                        
From customer onboarding, to customer servicing, customer loyalty and loan origination, we help financial institutions surpass customers’ expectations in every phase of the customer lifecycle.
                        
Built from the ground up with the customer at the heart, our Engagement Banking Platform easily plugs into existing core banking systems and comes pre-integrated with the latest fintechs so financial institutions can innovate at scale.
                        
Industry analysts Forrester, Gartner, Celent, Omdia and IDC continuously recognize Backbase’s category leadership position.

Meet the job

Do you thrive in high-pressure environments and crave a role that pushes the boundaries of technology in Banking? Are you an AI whiz who can adapt and solve problems on the fly? If so, then we want YOU!

We are forming an elite initial team of Navy Seal AI Engineers to spearhead the integration of cutting-edge artificial intelligence into our Banking solutions. This pioneering role demands exceptional technical skills coupled with the unwavering mental and physical fortitude of a Navy Seal.

Responsibilities:
Design, develop, and deploy AI solutions for real-world banking challenges
● Stay abreast of the latest advancements in AI, particularly Large Language Models (LLMs) like LaMDA, Jurassic-1 Jumbo, and emerging technologies like LangChain and HuggingFace transformers;
● Effectively utilize various LLM platforms like HuggingFace, ollama to tailor AI solutions to specific mission needs;
● Collaborate with other members and customers  to understand operational requirements and translate them into actionable AI applications;
● Troubleshoot and maintain deployed AI systems (LLMOps, MLOps, etc), ensuring optimal performance in austere environments;
● Document and share knowledge effectively to train future AI engineers within the team;
● Maintain the highest level of physical fitness and mental preparedness to seamlessly integrate with the SEAL team during operations.

How about You?

● Proficiency in programming languages like Python, Java, or C++;
● In-depth understanding of machine learning algorithms and deep learning architectures;
● Experience with cloud computing platforms (e.g., AWS, Azure);
● Exceptional problem-solving skills and the ability to think critically under pressure;
● Excellent communication and collaboration skills to work effectively within a team.

• Full SDLC Ownership: Lead the entire lifecycle of digital banking products—from initial idea and architectural design to release and maintenance.
• Architectural Excellence: Improve system architecture and design components that integrate smoothly across APIs and microservices.
• Technical Leadership: Act as a go-to resource for your team, mentoring junior engineers, conducting critical code reviews, and raising the bar for engineering standards.
• AI & Innovation: Contribute to the evolution of LLM-based voice assistants and real-time personalization engines using OpenAI and ML models.
• Security-First Mindset: Implement "Entitlements" and fraud prevention services with a focus on non-functional requirements like security, scalability, and resilience.
• Collaborative Culture: Work in a Pod based model, collaborating with Architects, Product Owners, and UX Designers to align technical solutions with business needs.

• Location: You live in Kraków or nearby area and you are willing to work in a hybrid mode - twice per week from our office. 
• Experience: You have 5–7+ years of professional experience building complex, high-traffic products.
• Backend Mastery: Solid understanding of Java, Spring JPA/Hibernate, and Maven. Experience with Microservices (Netflix OSS is a plus) and Cloud technologies.
• Frontend Expertise: Strong skills in Angular and TypeScript. You are proficient with RxJS and modern build systems (Webpack, Jenkins). Experience with Vue.js is a plus.
• System Design: You have a solid grasp of Enterprise Integration Patterns and can design systems that handle complex data flows between services.
• The "Senior" Edge: You don't just solve tickets; you identify gaps in tooling, reduce technical debt, and optimize CI/CD pipelines to streamline delivery.
• Communication: Excellent English (spoken and written). You can confidently explain technical concepts to non-technical stakeholders and get buy-in for your architectural decisions.
• Domain Knowledge: Previous experience in Fintech or Banking is highly considered an advantage.

• Growth: €1,000 annual self-development budget, a clear promotion path, and dedicated time for training.
• Rewards: Competitive base salary plus an annual bonus and referral bonuses.
• Hybrid Work: A flexible arrangement combining remote work with our vibrant Kraków office.
• Office Perks: Daily lunches, community breakfasts on Wednesdays, and high-end hardware (MacBook).
• Well-being: Private healthcare (Luxmed), Headspace app subscription, and a Work-From-Home allowance.
• Culture: Integration events, flexible working hours, and a focus on healthy work-life balance.