Software Engineer

• Permanent - Full Time
• Prague

Trading Technologies runs one of the lowest-latency trading networks in the industry: points of presence inside exchange colocation facilities across [North America, Europe, and Asia], carrying live market data and order flow for professional traders worldwide. On this network every microsecond and every dropped multicast packet is measurable, visible, and matters.
We’re adding a senior network engineer to own European operating hours. You’ll be the network authority for your region — designing, hardening, and troubleshooting the infrastructure that moves market data from the exchange to our customers, and handing off cleanly to colleagues in other regions at the edges of your day. This is a build-and-own role, not a NOC seat.

Key Responsibilities

• Design and deploy low-latency network infrastructure across exchange colocation sites — routing, switching, multicast distribution, and the cross-connects and carrier circuits that link them.
• Own the health of the market-data and order-flow path end to end: multicast delivery, gap and recovery behaviour, latency, and capacity.
• Lead network projects in your region and contribute to global architecture — site builds, capacity expansion, hybrid-cloud extension, and technology refreshes.
• Diagnose and resolve production incidents calmly and methodically, often as the senior engineer on shift, then drive the fix and the write-up.
• Execute configuration changes safely in production, with the discipline a latency-sensitive trading network demands.
• Partner with systems, infrastructure, and operations teams globally on projects and daily support.

Hours & On-Call

You’ll own European working hours. TT runs a follow-the-sun support model, which for you means you cover your region and hand off to Asia and the Americas at the edges of your day — not that you’re carrying an all-night global pager. Sustainable, humane coverage is the entire reason this role exists.

Skills, Knowledge and Expertise

Essential Skills & Experience

• Deep, hands-on network engineering — you’ve designed and run production networks, not just operated them.
• Strong routing and switching fundamentals: BGP, OSPF, MPLS, and IP multicast (PIM, IGMP) — with real understanding of multicast, not just exposure to it.
• Hands-on experience with Cisco, Juniper, and Arista across routers, switches, and firewalls.
• Calm, methodical crisis management — you can own a critical incident under pressure and think clearly while doing it.
• Comfortable in Linux; you can troubleshoot from the host, not just the switch.
• Network automation in practice (Python, Ansible).

Desirable Skills & Experience

• Financial market-data connectivity or exchange networking: multicast feed handling, exchange colocation, latency-sensitive delivery.
• Precision time: PTPv2, hardware timestamping, grandmaster clocks.
• Kernel-bypass networking (Solarflare/Onload or similar) and precision packet capture / latency measurement.
• Colocation physical-layer fluency: cross-connects, dark fibre, DWDM, carrier and Megaport-style connectivity.
• Hybrid-cloud network experience extending on-premises infrastructure into public cloud.

Benefits

Compensation: Kč2,500,000 – Kč2,900,000 / year

We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance.

• Health & Financial Security:
  • Pension contributions
• Time Off & Flexibility:
  • Enjoy the best of both worlds: the energy and collaboration of in-person work, combined with the convenience and focus of remote days. This is a hybrid position requiring three days of in-office collaboration per week, with the flexibility to work remotely for the remaining two days. Our hybrid model is designed to balance individual flexibility with the benefits of in-person collaboration, enhanced team cohesion, spontaneous innovation, hands-on mentorship opportunities and strengthens our company culture.
  • 25 days of Paid Time Off (PTO) per year, with the option to roll over unused days.
  • One dedicated day per year for volunteering.
  • Two professional development days per year to allow uninterrupted professional development.
  • An additional PTO day added during milestone anniversary years.
  • Generous parental leave for all parents (including adoptive parents).
• Work-Life Support & Resources:
  • Budget for tech accessories, including monitors, headphones, keyboards, and other office equipment.
  • Milestone anniversary bonuses.
• Wellness & Lifestyle Perks:
  • Subsidy contributions toward gym memberships and health/wellness initiatives (including discounted healthcare premiums, healthy meal delivery programs, or smoking cessation support).
• Our Culture:
  • Forward-thinking, culture-based organization with collaborative teams that promote diversity and inclusion.

Trading Technologies (www.tradingtechnologies.com) is a global capital markets platform services company providing market-leading technology for the end-to-end trading operations of Tier 1 banks, brokerages, money managers, hedge funds, proprietary traders, Commodity Trading Advisors (CTAs), commercial hedgers, and risk managers. With its roots in listed derivatives, the Software-as-a-Service (SaaS) company delivers “multi-X” solutions, with “X” representing asset classes, functions, workflows, and geographies. This multi-X approach features trade execution services across futures and options, fixed income, foreign exchange (FX), and cryptocurrencies, augmented by solutions for data and analytics, including transaction cost analysis (TCA); quantitative trading; compliance and trade surveillance; clearing and post-trade allocation; and infrastructure services. The award-winning TT platform ecosystem also helps exchanges deliver innovative solutions to their market participants and technology companies to distribute their complementary offerings to Trading Technologies’ clients.
Trading Technologies is backed by leading global investment firms Thoma Bravo, one of the world’s largest and most experienced software investors, and 7Ridge, a global growth equity firm focused on technology-enabled businesses.
This investment supports Trading Technologies’ continued focus on product innovation, platform scalability, and long-term growth for customers and partners worldwide.

Trading Technologies (TT) is an equal-opportunity employer. Equal employment has been, and continues to be, a required practice at the Company. Trading Technologies’ practice of equal employment opportunity is to recruit, hire, train, promote, and base all employment decisions on ability rather than race, color, religion, national origin, sex/gender orientation, age, disability, sexual orientation, genetic information, parental status, veteran, or any other protected status. Additionally, TT participates in the E-Verify Program for US offices.

Description

Trading Technologies runs one of the lowest-latency trading networks in the industry: points of presence inside exchange colocation facilities across [North America, Europe, and Asia], carrying live market data and order flow for professional traders worldwide. On this network every microsecond and every dropped multicast packet is measurable, visible, and matters.

We're adding a senior network engineer to own European operating hours. You'll be the network authority for your region — designing, hardening, and troubleshooting the infrastructure that moves market data from the exchange to our customers, and handing off cleanly to colleagues in other regions at the edges of your day. This is a build-and-own role, not a NOC seat.### Key Responsibilities

• Design and deploy low-latency network infrastructure across exchange colocation sites — routing, switching, multicast distribution, and the cross-connects and carrier circuits that link them.
• Own the health of the market-data and order-flow path end to end: multicast delivery, gap and recovery behaviour, latency, and capacity.
• Lead network projects in your region and contribute to global architecture — site builds, capacity expansion, hybrid-cloud extension, and technology refreshes.
• Diagnose and resolve production incidents calmly and methodically, often as the senior engineer on shift, then drive the fix and the write-up.
• Execute configuration changes safely in production, with the discipline a latency-sensitive trading network demands.
• Partner with systems, infrastructure, and operations teams globally on projects and daily support.

Hours & On-Call

You'll own European working hours. TT runs a follow-the-sun support model, which for you means you cover your region and hand off to Asia and the Americas at the edges of your day — not that you're carrying an all-night global pager. Sustainable, humane coverage is the entire reason this role exists.### Skills, Knowledge and Expertise

Essential Skills & Experience* Deep, hands-on network engineering — you've designed and run production networks, not just operated them.

• Strong routing and switching fundamentals: BGP, OSPF, MPLS, and IP multicast (PIM, IGMP) — with real understanding of multicast, not just exposure to it.
• Hands-on experience with Cisco, Juniper, and Arista across routers, switches, and firewalls.
• Calm, methodical crisis management — you can own a critical incident under pressure and think clearly while doing it.
• Comfortable in Linux; you can troubleshoot from the host, not just the switch.
• Network automation in practice (Python, Ansible).

Desirable Skills & Experience* Financial market-data connectivity or exchange networking: multicast feed handling, exchange colocation, latency-sensitive delivery.

• Precision time: PTPv2, hardware timestamping, grandmaster clocks.
• Kernel-bypass networking (Solarflare/Onload or similar) and precision packet capture / latency measurement.
• Colocation physical-layer fluency: cross-connects, dark fibre, DWDM, carrier and Megaport-style connectivity.
• Hybrid-cloud network experience extending on-premises infrastructure into public cloud.

Benefits

We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance.* Health & Financial Security:
+ Pension contributions

• Time Off & Flexibility:
  • Enjoy the best of both worlds: the energy and collaboration of in-person work, combined with the convenience and focus of remote days. This is a hybrid position requiring three days of in-office collaboration per week, with the flexibility to work remotely for the remaining two days. Our hybrid model is designed to balance individual flexibility with the benefits of in-person collaboration, enhanced team cohesion, spontaneous innovation, hands-on mentorship opportunities and strengthens our company culture.
  • 25 days of Paid Time Off (PTO) per year, with the option to roll over unused days.
  • One dedicated day per year for volunteering.
  • Two professional development days per year to allow uninterrupted professional development.
  • An additional PTO day added during milestone anniversary years.
  • Generous parental leave for all parents (including adoptive parents).
• Work-Life Support & Resources:
  • Budget for tech accessories, including monitors, headphones, keyboards, and other office equipment.
  • Milestone anniversary bonuses.
• Wellness & Lifestyle Perks:
  • Subsidy contributions toward gym memberships and health/wellness initiatives (including discounted healthcare premiums, healthy meal delivery programs, or smoking cessation support).
• Our Culture:
  • Forward-thinking, culture-based organization with collaborative teams that promote diversity and inclusion.

Trading Technologies (www.tradingtechnologies.com) is a global capital markets platform services company providing market-leading technology for the end-to-end trading operations of Tier 1 banks, brokerages, money managers, hedge funds, proprietary traders, Commodity Trading Advisors (CTAs), commercial hedgers, and risk managers. With its roots in listed derivatives, the Software-as-a-Service (SaaS) company delivers “multi-X” solutions, with “X” representing asset classes, functions, workflows, and geographies. This multi-X approach features trade execution services across futures and options, fixed income, foreign exchange (FX), and cryptocurrencies, augmented by solutions for data and analytics, including transaction cost analysis (TCA); quantitative trading; compliance and trade surveillance; clearing and post-trade allocation; and infrastructure services. The award-winning TT platform ecosystem also helps exchanges deliver innovative solutions to their market participants and technology companies to distribute their complementary offerings to Trading Technologies’ clients.

Trading Technologies is backed by leading global investment firms Thoma Bravo, one of the world’s largest and most experienced software investors, and 7Ridge, a global growth equity firm focused on technology-enabled businesses.
This investment supports Trading Technologies’ continued focus on product innovation, platform scalability, and long-term growth for customers and partners worldwide.

Trading Technologies (TT) is an equal-opportunity employer. Equal employment has been, and continues to be, a required practice at the Company. Trading Technologies’ practice of equal employment opportunity is to recruit, hire, train, promote, and base all employment decisions on ability rather than race, color, religion, national origin, sex/gender orientation, age, disability, sexual orientation, genetic information, parental status, veteran, or any other protected status. Additionally, TT participates in the E-Verify Program for US offices.

About Trading Technologies

Trading Technologies is a Software-as-a-Service (SaaS) technology platform provider to the global capital markets industry. The company’s award-winning TT® platform connects to the world’s major international exchanges and liquidity venues in listed derivatives alongside a growing number of asset classes, including fixed income and cryptocurrencies. The TT platform delivers advanced tools for trade execution and order management, market data solutions, analytics, trade surveillance, risk management, and infrastructure services to the world’s leading sell-side institutions, buy-side firms, and exchanges. The company’s blue-chip client base includes Tier 1 banks as well as brokers, money managers, hedge funds, proprietary traders, Commodity Trading Advisors (CTAs), commercial hedgers, and risk managers. These firms rely on the TT ecosystem to manage their end-to-end trading operations. In addition, exchanges utilize TT’s technology to deliver innovative solutions to their market participants. TT also strategically partners with technology companies to make their complementary offerings available to Trading Technologies’ global client base through the TT ecosystem.

Hledáme zkušeného Azure Data Engineera, který se zapojí do vývoje a migrace velkého datového řešení z on-prem databází do Azure. Projekt zahrnuje výstavbu datových pipeline v Azure Data Factory/Fabric, orchestrace datových toků a následné rozšiřování řešení o event-driven architekturu (Event Hub, Functions, Kafka). Pracovat budeš v týmu špičkových inženýrů, kteří se podílejí na jednom z největších datových projektů svého druhu v ČR.

Úroveň

• Senior
• Expert

Pozice

• Specialista Data (BI, DWH, BigData)
• Specialista Data (BI, DWH, BigData)

Spolupráce

• Freelancer

Úvazek

• Plný úvazek

Mzda

180 000 Kč / měsíc nebo si řekni o víc

Informace

• Team8
• Praha
  Popis pozice

---

Co budete dělat

• Návrh a implementace datových pipeline v Azure Data Factory/Fabric
• Přenos a transformace dat z on-prem databází do Azure (SQL, Oracle, PostgreSQL apod.)
• Nastavení a správa Lakehouse architektury (Fabric/Databricks)
• Optimalizace výkonnosti a kvality datových toků
• Práce s event-driven architekturou: Event Hub, Functions, Kafka
• Spolupráce s datovými analytiky a architekty na návrhu řešení

Co od tebe očekáváme

• Zkušenost s vývojem v Azure Data Factory (ADF) nebo Microsoft Fabric
• Praxi s Pythonem (skripty pro transformaci a orchestrace dat)
• Znalost datových modelů, ETL/ELT procesů a optimalizace SQL
• Výhodou: zkušenosti s CI/CD v Azure DevOps
• Znalost Azure Functions, Event Hub nebo Kafka výhodou
• Angličtina: čtení dokumentace
• Ochotu být min. 50 % on-site v Praze

Zkušenosti****Co požadujeme

• Úroveň:

Senior Expert

• Praxe:

3 roky

Pozice

Specialista Data (BI, DWH, BigData) Specialista Data (BI, DWH, BigData)

Základní dovednosti

Azure Data Factory ETL CI/CD SQL

Jazyky

Česky – plynule Anglicky – domluvit se
Práce u nás****Co nabízíme

Jaké jsou benefity

• Nástup ihned
• Spolupráce na IČO
• Hybridní režim spolupráce
• Spolupráci na významném datovém projektu v oblasti financí/enterprise
• Možnost práce s nejnovějšími technologiemi Azure (Fabric, Event Hub, Functions, Databricks)

Informace o pozici

Mzda 150 000 - 180 000 Kč / měsíc

Typ odměny Odměna/Mzda

Pracovní prostředí Moderní

Typ práce nebo projektu Moderní technologie Inovační projekty Transformační projekty

Typ smlouvy Freelancer

Typ pracovního úvazku Plný úvazek

Typ firmy Střední

Místo pracoviště Praha

Company Description Devoteam is an AI-driven tech consulting firm specialising in cloud platforms, cybersecurity, data, and sustainability.

At Devoteam, we believe that technology combined with strong human values can drive change for the better. As a leading digital transformation consulting firm, we support organizations in creating measurable business value using cloud, data, artificial intelligence, cyber security, and modern ways of working.

With more than 11,000 technology and business experts across over 25 countries in EMEA, we connect local expertise with global scale. Our partnerships with leading technology providers such as Google Cloud, AWS, Microsoft, and ServiceNow enable us to develop innovative and scalable solutions for our clients.

As a Google Cloud Diamond Partner, our Google Cloud team supports companies in designing and implementing modern cloud, data, and AI solutions. We don't just guide our clients strategically; we work alongside them to build production-ready applications for concrete business challenges.

Job Description

As a Forward Deployed Engineer – GenAI , you will work directly with our clients to design, build, and deploy sophisticated GenAI solutions.

You will bridge the gap between client-side engineering needs, AI architecture, and technical consulting. Working side by side with our clients' engineering teams, you will turn initial ideas and prototypes into robust, secure, and scalable applications for productive use.

Unlike in a purely advisory role, you won't stop at concepts and presentations: You will develop, integrate, test, and optimize solutions directly with the client. You will focus heavily on agentic applications, multi-agent systems, RAG architectures, and the integration of Large Language Models into existing enterprise landscapes.

Your Responsibilities

• Develop complex GenAI applications from early concept to production deployment.
• Design and implement agentic workflows and multi-agent systems.
• Build production-ready applications using Python and modern AI frameworks.
• Connect GenAI solutions to existing APIs, data platforms, enterprise applications, and legacy systems.
• Design RAG architectures and data pipelines for structured and unstructured data.
• Integrate foundation models and Large Language Models into secure enterprise architectures.
• Develop evaluation, monitoring, and observability solutions for GenAI applications.
• Ensure developed systems meet strict requirements for quality, security, data privacy, scalability, and latency.
• Conduct technical discovery sessions and engineering workshops with clients.
• Analyze functional and technical requirements and translate them into actionable solution architectures.
• Co-develop alongside client engineering teams and support them in adopting modern software engineering and AI engineering practices.
• Identify recurring technical patterns to build reusable components, accelerators, and internal frameworks.
• Collaborate closely with our AI/ML Consultants, Cloud Architects, Data Engineers, and Software Engineers.
• Support selected pre-sales activities, technical demonstrations, and Proofs of Concept.

Qualifications What we expect from you:

• A degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience.
• Multi-year experience in software engineering, AI engineering, machine learning engineering, or a similar technical role.
• Strong programming skills in Python or a comparable language.
• Practical experience in building production-ready AI or GenAI applications.
• Experience in architecting distributed or cloud-based AI systems.
• Experience with LLMs, prompt engineering, and foundation model integration.
• Hands-on experience with RAG architectures, embeddings, and vector databases.
• Experience with multi-agent systems or agentic workflows.
• Experience with frameworks such as LangGraph, Google Agent Development Kit, LangChain, CrewAI, or similar technologies.
• Experience with APIs, containerized applications, and modern software engineering practices.
• Solid understanding of CI/CD, testing, deployment, and monitoring for AI applications.
• Ability to clearly communicate complex technical concepts to both technical and business stakeholders.
• Enthusiasm for direct collaboration with clients and their engineering teams.
• Fluency in English.

Google Cloud Experience is Helpful, but Not Required. You don't need to know Google Cloud inside out from day one. What matters more to us is solid experience in building modern AI systems, strong software engineering skills, and the drive to quickly get up to speed on Google Cloud, Vertex AI, and Gemini.

Nice to Have

• Experience with Google Cloud, Vertex AI, Gemini, or comparable cloud AI platforms.
• Experience with Model Context Protocol servers and tool integrations.
• Knowledge of agent patterns such as ReAct, Reflection, Planning, or hierarchical delegation.
• Experience with evaluation frameworks for LLMs and agentic systems.
• Understanding of LLM-specific metrics such as latency, tokens per second, cost per query, and success rates.
• Experience with LLMOps or MLOps.
• Knowledge of IAM, network security, data privacy, and governance for enterprise AI applications.
• Experience in a consulting, professional services, or client-facing engineering environment.
• Experience moving Proofs of Concept into production-ready solutions.
• Relevant certifications in Google Cloud, AWS, or Microsoft Azure.

Additional Information Why to join us:

• Work on innovative and impactful Cloud, Data & AI projects for leading clients across industries.
• Join a fast-growing, entrepreneurial environment with strong Google Cloud expertise.
• Be part of a collaborative and international team of cloud, data and AI specialists.
• Take ownership and play a key role in shaping customer engagements and growing our Data & AI capabilities.
• Benefit from continuous learning, certification support and professional development opportunities.
• Enjoy a culture built on respect, ambition, entrepreneurship, collaboration and frankness.
• Receive a competitive compensation package and grow in a supportive environment that empowers you to succeed.

Benefits and perks:

• 5 weeks of vacation per year (= 1 week extra).
• 4 “My Days” per year.
• Hybrid office.
• Flexible working hours.
• Udemy for business account.
• Meal allowance up to 32.000 CZK/year (129,50 CZK/day).
• Cafeteria 1200 CZK/month (MultiSport Card available).
• Phone tariff (unlimited calls, texts messages within the EU, 20GB of Internet).
• Employee Referral Program.
• Sabbatical leave.
• Repurchase of hardware.

Moreover, we offer:

• Above standard working equipment.
• Snacks and breakfasts in the office.
• Company events and team buildings.
• Gifts for work anniversaries, promotion or childbirth.
• Friendly and open culture.

And last but not least, you can rely on:

• Transparent framework for career growth, reinforced by annual performance evaluations
• Trust and autonomy, with no micro-management
• Learning from senior colleagues and opportunities to collaborate with professionals from various industries