Distributed Systems Engineer 4/5 - Cloud Platform Infrastructure Engineering Tooling

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Deployment & Operations Engineer (Kraków)

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‹ All Open Jobs Positions

Deployment & Operations Engineer (Kraków)

Apply now

Apply at joinus@voicepin.com. Please include name of the position in the title.

You Must Enclose The Following Statement:
“I hereby agree for processing the following personal information strictly for the purposes of job recruitment in accordance with the regulation for the protection of personal data passed on the following day: 29.08.97r. Dz.U. nr 133 poz. 883.”

In most instances, this position requires in-person interviews as part of the hiring process.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience programming in C++, Java, Go or Python.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
• 5 years of experience with data structures and algorithms.
• Experience developing accessible technologies.
• Experience in a technical leadership role.

About The Job
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

With your technical expertise, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Poland: zł364000 - zł374000 (PLN) + 15% bonus target + equity + benefits

Learn More About Benefits At Google .
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

• Write and test product or system development code.
• Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
• Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Meet Our Team
Pega Poland is a leading technology hub in Europe, driving innovation and delivering cutting-edge software solutions. Employees are encouraged to collaborate, develop their skills, and share their expertise in an open and supportive environment. In addition to our passion for technology, we value an inclusive work environment and engaged community, care deeply of wellbeing of our employees by providing wellness programs and social initiatives.

Become part of our high-performance team focused on machine learning, AI, and speech recognition. As a core member of the team, you will solve interesting backend challenges while building distributed, resilient, fast, and modern cloud infrastructure that serves speech recognition and analysis capabilities at scale. We work with TypeScript, Python, C++, Go, and AWS. Your work will power thousands of customers and help deliver accurate Voice AI capabilities directly into client applications.

Picture Yourself At Pega
Pega is changing the way the world builds software. In this role, you’ll help shape the next generation of Pega’s Voice AI capabilities by building reliable, scalable infrastructure for real-time speech recognition and analysis.

At Pega, we actively explore and embrace emerging AI capabilities with curiosity, responsibility, and a drive for meaningful innovation. You will work in an environment where AI-enabled tools are used to enhance learning, improve engineering efficiency, and support better decision-making across the cloud platform.

We expect engineers to apply critical thinking to all AI-generated outputs - validating accuracy, quality, and relevance before applying them in production environments. We view AI maturity as a spectrum, progressing from foundational adoption toward more strategic, advocacy-driven integration, and you will play an active role in that journey.

What You'll Do At Pega

• Collaborate with AI researchers and engineers to build real-time speech recognition and natural language processing capabilities.
• Develop scalable backend infrastructure that powers Voice AI experiences for thousands of customers.
• Solve challenging distributed systems problems across reliability, latency, and performance.
• Optimize real-time audio processing, speech analysis, and model-serving infrastructure.
• Design and improve audio ingestion across cloud and on-premise channels.

Who You Are
You are a pragmatic backend engineer who enjoys turning advanced machine learning capabilities into reliable production systems. You may not be focused on training models yourself, but you are excited by the challenge of serving them efficiently, scaling them globally, and making them dependable for real customer use cases.

What You've Accomplished

• You have min. 4 years of professional experience.
• You have strong backend engineering fundamentals, understand network protocols, and can reason about what happens when an HTTP/1.1 request travels across the network.
• You are comfortable with TypeScript, Python, Go, or similar backend languages, and you are curious enough about audio systems to understand how a WAV file is structured.
• You understand how systems like Redis work internally, even though you know when using proven infrastructure is the better engineering choice.
• You enjoy working with strong type systems, clear abstractions, and code that is easy to reason about.
• You care about correctness and prefer tests that verify behavior, edge cases, and system invariants - not just implementation details.

Pega Offers You

• A highly collaborative environment for designing and development of new ideas and features.
• An ever-changing business landscape that adapts, scales and performs.
• A culture where employees engage deeply, own outcomes and lead from the front.
• Continuous learning and career opportunities – internal and external training opportunities.
• An inclusive, agile, and flexible work environment (you can use our DYI lab, volunteer, or do other great things with us).
• Permanent agreement and benefits package (bonus incentive, employee equity in the company, Medical and Group Insurance, Multisport, English & Polish lessons, Employee Assistance Program and that’s not all).
• Flexible work mode: office/hybrid (min. 2 days per week from the office). Our modern office is located in Krakow (Bonarka4Business Center). We hope you will enjoy Pega relax/game rooms and social/sport initiatives soon!

Additional Information
Base salary range for this role is 171,800 - 256,800 PLN annually. This role may also be eligible for annual bonus OR commission, as well as benefits and other incentives.

The final compensation will be determined during the offer process based on the candidate's education, experience, skills, and qualifications, as well as market conditions and may vary from the posted range. We will share an information on benefits, bonus/commission, and other pay components for this role at the relevant recruitment stage.

Description
The company is building the agent platform for professional music production: the orchestration layer, tool interfaces, skills runtime, and context architecture that allow any AI agent to reason about and act on a music-production workflow.

You will lead the design of the orchestration loop, define how the engine’s capabilities are exposed to models, build the skills runtime that transforms a general-purpose model into a domain specialist, and architect the context and memory systems that keep agents coherent across long creative sessions.

The object model is a song. The users are producers, musicians, and creatives. The domain has real-time constraints, deep semantics, and no existing playbook.

Requirements

• Five or more years shipping production platform or infrastructure software that other engineers have built on top of.
• Eighteen or more months of production experience building LLM agent systems, covering orchestration loops, tool use, and context management. We have no preference for a specific framework. We are equally interested in engineers who shipped on a provider-agnostic framework such as LangGraph and engineers who rejected frameworks entirely and built their own harness, provided you can articulate what you learned from the path you took.
• Demonstrated experience designing tool interfaces for LLM consumption. You can explain what makes a tool schema discoverable and usable by a model versus merely technically correct.
• Demonstrated experience building context, memory, or state-management systems beyond framework defaults, including compaction, durable memory, or session persistence. You have diagnosed agent failures from raw execution traces and made targeted harness changes in response.
• Strong proficiency in TypeScript and Python.
• Experience with the Model Context Protocol (MCP) or similar tool-connectivity standards.

Nice To Have (not Required)

• Background in music production, audio engineering, or another creative-tool domain, including as a serious hobbyist.
• Experience with real-time audio systems, professional audio software, or other latency-sensitive environments.
• Experience making a complex desktop or professional application agent-accessible, in any domain with a rich object model (DAW, IDE, design tool, CAD).
• Experience building middleware or hook architectures that allow others to customize agent behavior without modifying core code.

Job responsibilities

What You Will Own

• Tool interfaces. Define how the engine’s capabilities are exposed to LLMs as structured, discoverable tools. This includes schemas, semantic descriptions, scoped tool sets, input validation, and output parsing that a model can reliably produce and the harness can reliably consume. Designing a tool surface that models use well is a distinct discipline from designing an API for human developers, and you will own that discipline.
• Orchestration and control flow. Design and build the harness: the core loop and the machinery around it. This covers step sequencing, retries, timeouts, error recovery, fallback paths, and multi-agent coordination where a workflow is split across sub-agents with their own tools and context. You will evaluate whether to build this in-house, adopt a framework, or extend an existing one. We have no commitment to any specific framework, and we will not build the platform on top of a single provider or model. A well-reasoned argument for building our own harness is a welcome outcome of that evaluation.
• Skills runtime. Design the format, packaging, loading, and execution layer for the structured domain knowledge that turns a generic model into a music-production specialist. This is our most distinctive platform primitive and it is largely greenfield.
• Context, memory, and state. Build the systems that keep agents performant and coherent across long, multi-step creative workflows. This includes context compaction, short-term working memory, durable cross-session memory, session state persistence, continuity across disconnects, and sub-agent delegation in which parent and child contexts remain consistent.
• Extension points. Design the harness so that new tools, skills, and middleware can be added without modifying the core runtime. Extensibility is an architectural property of the system, not a retrofit.
• Evaluations, observability, and failure analysis. Evaluations tell us the harness is working; raw execution traces and structured failure logs tell us why it is not. You will build and own the platform-level evaluation surface, the observability that every engineer on the platform depends on, and the feedback loop that converts failed agent runs into targeted harness changes.
• Ongoing simplification. As frontier models improve, some of the scaffolding we build today will stop earning its keep. You will audit the harness on a regular basis and remove the components that models no longer require.

This Role Is Not

• LLM integration engineering. This role is not responsible for wiring models to the DAW or building end-user AI features. This role builds the platform those features run on.
• ML or model engineering. This team does not train models. It builds the systems that agents run on.
• Research. This team applies current research in production. Original research happens elsewhere in the company.

What we offer

Empowering Projects:
With 500+ clients spanning diverse industries and domains, we provide an exciting opportunity to contribute to groundbreaking projects that leverage cutting-edge technologies. As a team, we engineer digital products that positively impact people’s lives.

Empowering Growth:
We foster a culture of continuous learning and professional development. Our dedication is to provide timely and comprehensive assistance for every consultant through our dedicated Learning & Development team, ensuring their continuous growth and success.

DE&I Matters:
At GlobalLogic, we deeply value and embrace
diversity
. We are dedicated to providing
equal
opportunities for all individuals, fostering an
inclusive
and empowering work environment.

Career Development:
Our corporate culture places a strong emphasis on career development, offering abundant opportunities for growth. Regular interactions with our teams ensure their engagement, motivation, and recognition. We empower our team members to pursue their career goals with confidence and enthusiasm.

Comprehensive Benefits:
In addition to equitable compensation, we provide a comprehensive benefits package that prioritizes the overall well-being of our consultants. We genuinely care about their health and strive to create a positive work environment.

Flexible Opportunities:
At GlobalLogic, we prioritize work-life balance by offering flexible opportunities tailored to your lifestyle. Explore relocation and rotation options for diverse cultural and professional experiences in different countries with our company.

About GlobalLogic
GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.