About the Role

We're focused on hiring embedded software engineers that understand not only the lower-level systems, but also how everything integrates together from the hardware to the UI. You’ll be working closely on one side with our hardware vendors and ME/EE people, and on the other side with server and UI engineers, industrial designers, and our operations team. If you’re looking for a fast-paced environment where your work is regularly shipping to customers and improving people’s safety, this is the place for you!

What You'll Do

• Develop features for embedded platforms such as Cameras, Access control, Alarms, Sensors in Linux embedded environment.
• Debug, solve problems, do code reviews 
• Define architecture, design of new features, functionalities.
• Take part in projects from inception to deployment and customer support.
• Build prototypes, work on proof of concepts. 
• Research on technologies we are interested in for new products 
• Work in cross-functional team

What You Bring

• +5 years of experience on Linux Embedded development
• +5 years of experience on C or C++ programming
• Experience with Yocto/bitbake
• Experience with Bash or other scripting language
• Experience with Git

Nice to Have

• Linux kernel modules programming
• Bootloaders (u-boot)
• Secure boot / security
• Go programing
• Python
• Experience in C++ programming
• Basic understanding of electrical circuits and usage of lab equipment (multimeters, etc)
• Experience with RTOS

Poland Employee Benefits

Verkada is committed to fostering a workplace environment that prioritizes the holistic health and wellbeing of our employees and their families by offering comprehensive wellness perks, benefits, and resources. Our benefits and perks programs include, but are not limited to:

• Healthcare programs that can be tailored to meet the personal health and financial well-being needs 
• Paid parental leave policy & fertility benefits
• Time off to relax and recharge through our paid holidays, firmwide extended holidays, flexible PTO and personal sick time
• Professional development stipend
• Wellness/fitness benefits
• Healthy lunches provided daily
• Commuter benefits

Employee Pay Disclosure 

At Verkada, we want to attract and retain the best employees, and compensate them in a way that appropriately and fairly values their individual contribution to the company. With that in mind, we carefully consider a number of factors to determine the appropriate starting pay for an employee, including their primary work location and an assessment of a candidate’s skills and experience, as well as market demands and internal parity. For this role, Verkada estimates a starting base salary will fall in the range of approximately 17 000 PLN - 60 000 PLN netto / month for B2B contracts and 14 000 PLN - 51 000 PLN brutto / month for UoP contracts. This estimate can vary based on the factors described above, so the actual starting base salary may be above or below this range. Base salary is also just one component of Verkada’s total rewards package. A Verkada employee may be eligible for additional forms of compensation, depending on their role, including sales incentives, discretionary bonuses, and/or equity in the company in the form of Restricted Stock Units (RSUs). 

About the Role

What You'll Do

• Define / create automated test system architecture for embedded systems like Access Control, Cameras, Sensors, Alarms etc.
• Take part in choosing technologies used in automated test system
• Together with a team build CI system, choose technology, set all things up, develop needed scripts etc.
• Together with the team define, develop automated test cases, create test strategy,
• Lead automated test case development in a cross-functional engineering team.
• Create test suites for smoke tests, performance tests, functional testing etc.
• Together with the team set up test management solutions, test results reporting (preferred highly automated options)

What You Bring

• +5 years of experience in testing hardware devices / embedded systems / software testing
• Experience in building CI systems for embedded platforms
• Experience in creating test strategy
• Experience in designing and developing automated test cases for hardware devices, ex. HIL
• Proficient in Python
• Linux user
• Knowledge of GitHub

Nice to Have

• Basic understanding of electronics
• Basic usage of lab equipment (multimeter, oscilloscope etc. )
• Wireless communication protocols (NFC, Bluetooth, UWB)
• BDD methodology (Gherkin syntax)
• C / C++ / Go programming
• Bash scripting
• Yocto
• TeamCity, GitHub Actions

Poland Employee Benefits

Verkada is committed to fostering a workplace environment that prioritizes the holistic health and wellbeing of our employees and their families by offering comprehensive wellness perks, benefits, and resources. Our benefits and perks programs include, but are not limited to:

• Healthcare programs that can be tailored to meet the personal health and financial well-being needs 
• Paid parental leave policy & fertility benefits
• Time off to relax and recharge through our paid holidays, firmwide extended holidays, flexible PTO and personal sick time
• Professional development stipend
• Wellness/fitness benefits
• Healthy lunches provided daily
• Commuter benefits

Additional Information

• We do sponsor and take over sponsorship of employment visas for this role. If we make you an offer, we will make every reasonable effort to get you a visa.

Employee Pay Disclosure 

At Verkada, we want to attract and retain the best employees, and compensate them in a way that appropriately and fairly values their individual contribution to the company. With that in mind, we carefully consider a number of factors to determine the appropriate starting pay for an employee, including their primary work location and an assessment of a candidate’s skills and experience, as well as market demands and internal parity. For this role, Verkada estimates a starting base salary will fall in the range of approximately 17 000 PLN - 60 000 PLN netto / month for B2B contracts and 14 000 PLN - 51 000 PLN brutto / month for UoP contracts. This estimate can vary based on the factors described above, so the actual starting base salary may be above or below this range. Base salary is also just one component of Verkada’s total rewards package. A Verkada employee may be eligible for additional forms of compensation, depending on their role, including sales incentives, discretionary bonuses, and/or equity in the company in the form of Restricted Stock Units (RSUs). 

What You'll Do

• Develop features for embedded platforms such as Cameras, Access control, Alarms, Sensors in Linux embedded environment.
• Develop and maintain Go firmware for embedded devices with focus on performance and security.
• Extend Backend services implemented in Python and Go.
• Take part in projects from inception to deployment and customer support.
• Build prototypes, work on proof of concepts. 
• Collaborate closely with cross-functional teams to translate project requirements into well-designed and efficient code.
• Conduct thorough testing and debugging to ensure the delivery of high-quality and error-free software.
• Stay up-to-date with the latest Go language updates and best practices.
• Optimize software applications for better performance and efficiency taking advantage of Go.
• Actively participate in code reviews, providing constructive feedback to improve code quality and maintain coding standards.
• Troubleshoot and resolve issues related to software functionality, performance, and integration, ensuring a seamless user experience.

What You Bring

• Demonstrated experience developing with Go, including its standard library and common developer tools (debugging and profiling).
• Good experience in Python programming or other scripting languages.
• Experience in version control systems.
• Experience designing and implementing APIs using REST, gRPC, and Protobuf.
• Working knowledge of SQL or NoSQL databases, such as DynamoDB.
• Experience building service-oriented backends, preferably within the AWS cloud environment.
• Experience in Linux Embedded development.
• Experience with containerization technologies like Docker and container orchestration platforms like Kubernetes.

Nice to Have

• Experience modifying drivers, working with HAL (Hardware Abstraction Layer) in AOSP, and customizing the AOSP build system (Soong/Blueprint).
• Hands-on experience in Android app development, debugging, and profiling; familiarity in Android Framework internals and AOSP API modifications.
• Experience in C or C++ programming.
• TCP/IP stack.
• Working knowledge in electronics - basic understanding of electrical circuits and usage of lab equipment, like multimeters.

Poland Employee Benefits

Verkada is committed to fostering a workplace environment that prioritizes the holistic health and wellbeing of our employees and their families by offering comprehensive wellness perks, benefits, and resources. Our benefits and perks programs include, but are not limited to:

• Healthcare programs that can be tailored to meet the personal health and financial well-being needs 
• Paid parental leave policy & fertility benefits
• Time off to relax and recharge through our paid holidays, firmwide extended holidays, flexible PTO and personal sick time
• Professional development stipend
• Wellness/fitness benefits
• Healthy lunches provided daily
• Commuter benefits

Additional Information

• We do sponsor and take over sponsorship of employment visas for this role. If we make you an offer, we will make every reasonable effort to get you a visa.

Employee Pay Disclosure 

At Verkada, we want to attract and retain the best employees, and compensate them in a way that appropriately and fairly values their individual contribution to the company. With that in mind, we carefully consider a number of factors to determine the appropriate starting pay for an employee, including their primary work location and an assessment of a candidate’s skills and experience, as well as market demands and internal parity. For this role, Verkada estimates a starting base salary will fall in the range of approximately 17 000 PLN - 60 000 PLN netto / month for B2B contracts and 14 000 PLN - 51 000 PLN brutto / month for UoP contracts. This estimate can vary based on the factors described above, so the actual starting base salary may be above or below this range. Base salary is also just one component of Verkada’s total rewards package. A Verkada employee may be eligible for additional forms of compensation, depending on their role, including sales incentives, discretionary bonuses, and/or equity in the company in the form of Restricted Stock Units (RSUs).

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

Project Duration  

6-month engagement with the possibility of extension

What You’ll Do  

• Lead structured technical discovery with the hardware and platform engineering teams to establish the API surface, platform readiness, and target workload definitions
• Author the Architecture Decision Record (ADR) documenting the integration approach, technology choices, and key design decisions
• Define the requirements baseline, functional and non-functional, and produce the risk register
• Negotiate and agree the revised Statement of Work for Phases 1 and 2 with the client
• Establish the reference workload definition and benchmark criteria to be used through the POC
• Maintain technical governance and architectural coherence across the integration build
• Direct the engineering team on component delivery: workload adapter, hardware dispatch client, telemetry bridge, and any required platform-side changes
• Manage the client relationship on a day-to-day basis: progress reporting, risk escalation, and gate reviews
• Review and sign off integration components before gate conditions are assessed
• Lead knowledge transfer and runbook acceptance sessions with client engineering teams
• Support the customer Proof of Value demonstration in an advisory capacity

What You Bring 

• Demonstrable background in cloud platform architecture, distributed systems, and API design — REST and gRPC in particular
• Experience integrating third-party hardware or specialised compute into cloud scheduling and resource management layers
• Familiarity with workload orchestration: Kubernetes, custom schedulers, resource plugins, or equivalent
• Working knowledge of observability tooling: OpenTelemetry, Prometheus, Grafana, or comparable stacks
• Comfort operating across the full stack, from infrastructure (IaC, networking, cloud providers) to API and platform layers
• SRE background or equivalent: SLO definition, telemetry design, incident response, and operational documentation
• Ability to design for observability and failure modes from the outset, not as a post-build afterthought
• Experience producing runbooks and operational documentation for technical handover
• Proven ability to lead client-facing technical engagements, managing expectations, communicating risk, and maintaining trust in ambiguous early-stage programmes
• Comfortable working with non-traditional technical counterparts, such as hardware scientists who may not be experienced platform API producers
• Skilled at structured requirements elicitation under significant uncertainty — able to extract requirements through interviews, prototypes, and reference examples rather than documentation
• Experience producing Architecture Decision Records, revised SOW documents, and risk registers as formal engagement outputs
• Experience operating as a senior contractor or fractional leader, comfortable with part-time engagement structures and accountability for commercial gate conditions without full-time oversight
• Able to take ownership of engagement quality and client confidence independently

Nice to Have

• Prior exposure to custom silicon, FPGA integration, or specialised AI accelerator hardware
• Experience in sovereign cloud, data sovereignty, or regulated compute environments
• Familiarity with AI/ML workload types: inference serving, training pipelines, batch processing
• Experience with M2M identity, workload authentication, and platform governance patterns
• Background in early-stage or venture-backed technology companies where engineering rigour and commercial pragmatism must coexist

English level

Upper-Intermediate

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel 

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

Project Duration  

6-month engagement with the possibility of extension

What You’ll Do  

• Lead structured technical discovery with the hardware and platform engineering teams to establish the API surface, platform readiness, and target workload definitions
• Author the Architecture Decision Record (ADR) documenting the integration approach, technology choices, and key design decisions
• Define the requirements baseline, functional and non-functional, and produce the risk register
• Negotiate and agree the revised Statement of Work for Phases 1 and 2 with the client
• Establish the reference workload definition and benchmark criteria to be used through the POC
• Maintain technical governance and architectural coherence across the integration build
• Direct the engineering team on component delivery: workload adapter, hardware dispatch client, telemetry bridge, and any required platform-side changes
• Manage the client relationship on a day-to-day basis: progress reporting, risk escalation, and gate reviews
• Review and sign off integration components before gate conditions are assessed
• Lead knowledge transfer and runbook acceptance sessions with client engineering teams
• Support the customer Proof of Value demonstration in an advisory capacity

What You Bring 

• Demonstrable background in cloud platform architecture, distributed systems, and API design — REST and gRPC in particular
• Experience integrating third-party hardware or specialised compute into cloud scheduling and resource management layers
• Familiarity with workload orchestration: Kubernetes, custom schedulers, resource plugins, or equivalent
• Working knowledge of observability tooling: OpenTelemetry, Prometheus, Grafana, or comparable stacks
• Comfort operating across the full stack, from infrastructure (IaC, networking, cloud providers) to API and platform layers
• SRE background or equivalent: SLO definition, telemetry design, incident response, and operational documentation
• Ability to design for observability and failure modes from the outset, not as a post-build afterthought
• Experience producing runbooks and operational documentation for technical handover
• Proven ability to lead client-facing technical engagements, managing expectations, communicating risk, and maintaining trust in ambiguous early-stage programmes
• Comfortable working with non-traditional technical counterparts, such as hardware scientists who may not be experienced platform API producers
• Skilled at structured requirements elicitation under significant uncertainty — able to extract requirements through interviews, prototypes, and reference examples rather than documentation
• Experience producing Architecture Decision Records, revised SOW documents, and risk registers as formal engagement outputs
• Experience operating as a senior contractor or fractional leader, comfortable with part-time engagement structures and accountability for commercial gate conditions without full-time oversight
• Able to take ownership of engagement quality and client confidence independently

Nice to Have

• Prior exposure to custom silicon, FPGA integration, or specialised AI accelerator hardware
• Experience in sovereign cloud, data sovereignty, or regulated compute environments
• Familiarity with AI/ML workload types: inference serving, training pipelines, batch processing
• Experience with M2M identity, workload authentication, and platform governance patterns
• Background in early-stage or venture-backed technology companies where engineering rigour and commercial pragmatism must coexist

English level

Upper-Intermediate

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel 

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

Project Duration  

6-month engagement with the possibility of extension

What You’ll Do  

• Lead structured technical discovery with the hardware and platform engineering teams to establish the API surface, platform readiness, and target workload definitions
• Author the Architecture Decision Record (ADR) documenting the integration approach, technology choices, and key design decisions
• Define the requirements baseline, functional and non-functional, and produce the risk register
• Negotiate and agree the revised Statement of Work for Phases 1 and 2 with the client
• Establish the reference workload definition and benchmark criteria to be used through the POC
• Maintain technical governance and architectural coherence across the integration build
• Direct the engineering team on component delivery: workload adapter, hardware dispatch client, telemetry bridge, and any required platform-side changes
• Manage the client relationship on a day-to-day basis: progress reporting, risk escalation, and gate reviews
• Review and sign off integration components before gate conditions are assessed
• Lead knowledge transfer and runbook acceptance sessions with client engineering teams
• Support the customer Proof of Value demonstration in an advisory capacity

What You Bring 

• Demonstrable background in cloud platform architecture, distributed systems, and API design — REST and gRPC in particular
• Experience integrating third-party hardware or specialised compute into cloud scheduling and resource management layers
• Familiarity with workload orchestration: Kubernetes, custom schedulers, resource plugins, or equivalent
• Working knowledge of observability tooling: OpenTelemetry, Prometheus, Grafana, or comparable stacks
• Comfort operating across the full stack, from infrastructure (IaC, networking, cloud providers) to API and platform layers
• SRE background or equivalent: SLO definition, telemetry design, incident response, and operational documentation
• Ability to design for observability and failure modes from the outset, not as a post-build afterthought
• Experience producing runbooks and operational documentation for technical handover
• Proven ability to lead client-facing technical engagements, managing expectations, communicating risk, and maintaining trust in ambiguous early-stage programmes
• Comfortable working with non-traditional technical counterparts, such as hardware scientists who may not be experienced platform API producers
• Skilled at structured requirements elicitation under significant uncertainty — able to extract requirements through interviews, prototypes, and reference examples rather than documentation
• Experience producing Architecture Decision Records, revised SOW documents, and risk registers as formal engagement outputs
• Experience operating as a senior contractor or fractional leader, comfortable with part-time engagement structures and accountability for commercial gate conditions without full-time oversight
• Able to take ownership of engagement quality and client confidence independently

Nice to Have

• Prior exposure to custom silicon, FPGA integration, or specialised AI accelerator hardware
• Experience in sovereign cloud, data sovereignty, or regulated compute environments
• Familiarity with AI/ML workload types: inference serving, training pipelines, batch processing
• Experience with M2M identity, workload authentication, and platform governance patterns
• Background in early-stage or venture-backed technology companies where engineering rigour and commercial pragmatism must coexist

English level

Upper-Intermediate

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel 

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Why Cast AI?

Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.
The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.
Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.

Global team, diverse perspectives

We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead.

Unicorn momentum

In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.

Join us as we build the future of autonomous infrastructure.

About the role

Throughput. Latency. KV cache utilization.

Move those three numbers in the right direction, and two things happen: customers get faster, cheaper inference, and our margins improve. That's the entire thesis of this role. Every kernel you tune, every quantization scheme you ship, every scheduler tweak you land shows up directly in a customer's p99 and on our P&L.
This is a high-impact seat. It is also a high-autonomy seat as you'll be given the room to lead the technical direction of inference optimization at Kimchi, not execute someone else's roadmap.

The problem: running LLMs in production is a moving target. The "right" model and serving configuration for a workload depend on traffic shape, sequence-length distribution, batch dynamics, GPU SKU, memory bandwidth, quantization tolerance, and a dozen other variables that shift week to week. Most teams pick a model once, over-provision GPUs, and absorb the cost. Kimchi is the system that makes that decision automatically - continuously matching workloads to the most cost-efficient, best-performing LLM and serving configuration on a customer's infrastructure. We're building the optimization layer between the model and the hardware, and we need engineers who understand both sides deeply.

Stack

Python · vLLM · SGLang · TensorRT-LLM · PyTorch · CUDA-adjacent tooling · Kubernetes · gRPC · ClickHouse · PostgreSQL · GCP Pub/Sub · AWS / GCP / Azure · GitLab CI · ArgoCD · Prometheus · Grafana · Loki · Tempo.

Requirements:

• 5+ years building real ML systems, with a portfolio that shows depth in inference or training infrastructure (not just model training notebooks).
• Strong Python - production services, not scripts.
• Hands-on experience with at least one of vLLM, SGLang, or TensorRT-LLM, and a working mental model of why an inference engine performs the way it does on a given GPU.
• Fluency with quantization tradeoffs - you've measured quality regressions, not just compression ratios.
• Comfort with distributed systems: collective communication, sharding strategies, and the practical failure modes of multi-GPU and multi-node setups.
• A bias toward measurement. You instrument before you optimize, and you can tell the difference between a real win and a benchmark artifact.
• Self-direction. This role comes with a wide mandate; you should be excited by that, not unsettled by it.

Responsibilities:

• Push throughput. Continuous batching, speculative decoding, chunked prefill, kernel-level tuning across vLLM, SGLang, and TensorRT-LLM. Find the ceiling on each GPU SKU, then raise it.
• Cut latency. Attack TTFT and TPOT separately. Profile, identify the actual bottleneck (compute, memory bandwidth, scheduling, networking), and fix it - not the bottleneck you assumed.
• Get more out of the KV cache. Paged attention, prefix caching, eviction policies, cache reuse across requests, quantized KV. This is where a lot of the unrealized throughput lives, and it's an area you'll own.
• Quantize without regressing quality. INT8, INT4, FP8 across weights, activations, and KV. Empirical work: measure quality on real workloads, not just perplexity benchmarks.
• Shrink cold starts and memory footprint. Faster init, smarter weight loading, tighter memory accounting - the difference between a model that scales and one that doesn't.
• Scale across nodes. Distributed inference topologies, network-aware placement, checkpointing strategies that don't bottleneck on storage or interconnect.
• Set the technical direction. Decide what we benchmark, what we adopt, and what we build ourselves. Bring the team along with strong writeups and reproducible experiments.

What’s in it for you?

• Competitive salary (depending on the level of experience).
• Enjoy a flexible, remote-first global environment.
• Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology
• Equity options.
• Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
• Spend 10% of your work time on personal projects or self-improvement. 
• Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
• Annual hackathon to spark new ideas and strengthen team bonds.
• Team-building budget and company events to connect with your colleagues.
• Equipment budget to ensure you have everything you need.
• Extra days off to help maintain a healthy work-life balance.

Hiring process

• Screening call with Recruiter
• Hiring Manager interview
• Technical interview (system design)
• Live coding
• Culture Check interview with an executive

*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI does not provide any form of visa sponsorship/work permit.

#LI-Remote

Salary Range: PLN 350,700 - 474,400 + Benefits + Equity

Subject to alignment to the responsibilities and duties of the role.

About Graphcore

At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary 

You will contribute to the architecture, implementation and deployment of highly scalable management and observability solutions for AI infrastructure built using our next-generation products.  Covering monitoring, observability, control, and data center infrastructure management, you will work with software, cloud and customer-facing teams, to establish first-hand knowledge of these solutions, creating proof-of-concepts, reference designs and integrations with third-party tooling.

Your team will work with product, architecture and other delivery teams to ensure that functionally complete, simple to deploy, and easy to use solutions are deployed internally to support engineering efforts and supply reference designs to our customers.

Responsibilities and Duties

• Contribute to all phases of overall product development, from product definition, architecture, and design, through implementation, debugging, testing and early customer support.
• Contribute to the design and implementation of fault-remediation solutions at scale.
• Implement multi-component integrations based on Graphcore and third-party technology stacks, from data ingestion to decision making, ensuring seamless management, monitoring and UI.
• Create reference designs including documentation, configuration files, scripts, source code, etc.
• Deploy solution(s) internally for use by our engineering teams to aid debugging, performance analysis, benchmarking, test/QA, etc. at all scales.
• Maintain and improve deployed infrastructure long term to provide the best service for our customers.
• Ensure solutions are properly tested by working with the development and QA teams to enhance unit testing and ensure a comprehensive test plan is in place.
• Mentor and guide junior engineers, fostering a culture of continuous learning and improvement.

Skills and Experience 

• BSc or MSc degree in Computer Engineering, Computer Science, or related degree or equivalent experience.
• Demonstrated success in architecting and implementing scalable, performant, reliable cluster management systems including telemetry collection & analysis engines.
• Experience in managing big scale datacenters focusing on hardware observability solutions.
• Experience in maintaining and scaling modern observability stacks using Prometheus, Grafana, OTEL, ClickHouse, Kafka, Superset or Elastic StackUnderstanding of secure telemetry practices and data exposure controls.
• Working knowledge of Datadog, Dynatrace or Splunk.
• Experience in large-scale telemetry datasets, time series databases, down-sampling techniques, and creating actionable dashboards.
• Experience automation technologies, such as Ansible or Terraform.
• Experience in containerisation (Docker, Kubernetes) 
• Experience in managing or developing in Linux environments.
• Strong and demonstrable skill in at least one of C/C++/Go and Python.
• Excellent written and verbal communication skills.

Desirable:

• Knowledge of cloud-native development and deployment methodologies (SaaS/PaaS/IaaS).
• Knowledge of data center networking and monitoring best practices.
• Knowledge of monitoring, observability and management solutions in use by hyperscalers.
• Knowledge of declarative management systems.

Benefits

In addition to a competitive salary, annual leave policy, medical and dental health plans, a gym card and employee pension (matched up to 4%). We review our benefits on a yearly basis to ensure we offer a valuable and rewarding benefits programme to our employees.  We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Sponsorship

Applicants for this position must hold the right to work in the Poland. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.

Salary Range: PLN 260,400 - 352,200

Subject to alignment to the responsibilities and duties of the role.

About Graphcore

At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

The Role 

We are seeking a Quality Assurance Engineer to join our Workload Management team, which is responsible for enabling next-generation AI accelerator hardware within Kubernetes clusters.  

In this role, you will contribute to the validation of Kubernetes integrations that allow new accelerator to be scheduled, orchestrated, and utilised efficiently across distributed environments.  

Working closely with software engineers and infrastructure teams you will help ensure that our workload management stack - including scheduling, resource allocation, and device management - operates reliably in production environments. The role combines automation engineering with a systems-level understanding of distributed platforms, helping ensure our solutions are robust, scalable, and ready for real-world deployment. 

Responsibilities 

• Design, develop, and maintain automated test suites for Kubernetes integration components. 

• Develop end-to-end, integration, and system tests to validate scheduling and resource allocation across Kubernetes clusters. 

• Identify, document, and track defects while working closely with engineering teams to investigate root causes and verify fixes. 

• Contribute to design of CI/CD pipelines.  

• Validate the scalability, performance, and reliability of workload orchestration. 

• Improve test coverage, test stability, and observability across distributed system components. 

• Collaborate with development teams to define quality standards, test strategies, and validation plans early in the development lifecycle. 

Skills and Experience 

Essential 

• Programming experience in Python. 

• Hands-on experience with Robot Framework or similar automation frameworks. 

• Good understanding of Linux systems. 

• Experience with CI/CD systems such as GitLab CI or GitHub Actions. 

• Experience testing distributed systems.  

• Ability to debug complex issues across multiple system layers (Kubernetes, infrastructure, applications). 

• Good analytical and problem-solving skills. 

Desirable 

• Experience validating Kubernetes integrations.  

• Understanding of AI training and inference workloads and their orchestration requirements. 

• Experience testing cloud-native systems and containerised environments. 
  

Benefits

In addition to a competitive salary, annual leave policy, medical and dental health plans, a gym card and employee pension (matched up to 4%). We review our benefits on a yearly basis to ensure we offer a valuable and rewarding benefits programme to our employees.  We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Salary Range: PLN 350,700- 474,400

Subject to alignment to the responsibilities and duties of the role.

About Graphcore

At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary 

As a Senior Cloud Software Engineer, you will lead the efforts in enabling new AI accelerator HW within Kubernetes environments. You will be responsible for the design, development, and maintenance of applications in Go, ensuring seamless integration of a new AI accelerator with existing Kubernetes clusters, and providing a native Kubernetes end user experience. This role requires extensive experience in software development, container orchestration technologies and cloud computing.

Responsibilities and Duties

• Lead the design and development of applications in Go for the new AI accelerator integration in Kubernetes.
• Ensure seamless integration of the new hardware with existing Kubernetes clusters.
• Mentor and guide junior engineers, fostering a culture of continuous learning and improvement.
• Collaborate with cross-functional teams to design, implement, and test new features.
• Conduct thorough code reviews and provide constructive feedback to team members.
• Troubleshoot and resolve complex technical issues.
• If necessary, engage with the Kubernetes community, contributing to discussions, forums, and open-source projects.
• Write and maintain comprehensive documentation for your code and the overall project.
• Stay up-to-date with the latest trends and technologies in Kubernetes and cloud computing.

Skills and Experience 

Essential Qualifications: 

• Bachelor’s degree in Computer Science, Engineering, or a related field or equivalent experience. 
• At least 10 years of experience in software development, ideally with a focus on cloud environments.
• Proficiency in Go programming.
• Extensive experience with Kubernetes is essential, with a preference for candidates holding a Certified Kubernetes Administrator (CKA) and Certified Kubernetes Security Specialist (CKS) certifications. 
• Strong understanding of container orchestration and cloud-native development.
• Excellent problem-solving skills and attention to detail.
• Proven track record of achieving goals while implementing complex technical solutions.
• Strong grasp of Linux-based operating systems.
• Proven leadership and mentoring skills.
• Strong communication and teamwork skills.
• English- C1 level.

Preferred Qualification:

• Familiarity with machine learning-related technologies within the Kubernetes ecosystem e.g. Kubeflow, KubeVirt, Kata containers, Volcano is highly desirable.
• Knowledge of RDMA networks is considered an asset. 
• Familiarity with other workload managers, such as Ray and SLURM, is considered an asset.
• Knowledge of cloud computing platforms such as Azure, GCP, AWS and their services.
• Experience with CI/CD pipelines and DevOps tools e.g. GitHub/GitLab.

Benefits

In addition to a competitive salary, annual leave policy, medical and dental health plans, a gym card and employee pension (matched up to 4%). We review our benefits on a yearly basis to ensure we offer a valuable and rewarding benefits programme to our employees.  We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Salary Range: PLN 350,700- 474,400

Subject to alignment to the responsibilities and duties of the role.

About Graphcore

At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

About the Role

Graphcore is building the software that powers a new era of high-performance AI compute. As a Senior Kubernetes Software Engineer, you’ll develop Go services that integrate our accelerator hardware into Kubernetes clusters—making AI compute effortless, scalable, and K8s native.

This is a hands-on engineering role where you will own SW components and  work at the intersection of software, hardware and cloud platforms.

What You’ll Do

• Develop production-grade Go services that expose our accelerator capabilities to end users.

• Build CRDs, operators and other Kubernetes components to provide a seamless experience for ML and platform teams.

• Ensure reliability, performance, and scalability of Kubernetes-based AI-compute infrastructure.

• Partner with cross-functional teams (hardware, cloud, ML) on architecture, design, and feature roadmaps.

• Drive improvements in code quality, observability, automation and developer experience.

You’re a Great Fit If You Have

• Strong Go programming experience.

• Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent experience, with at least 10 years of software development experience. 

• Deep knowledge of Kubernetes architecture. 

• Solid Linux understanding and cloud-native mindset.

• Ability to lead technical initiatives and mentor other engineers.

• English- C1 level.

Bonus Skills

• Familiarity with machine learning-related technologies within the Kubernetes ecosystem e.g. Kubeflow, Karmada, Kueue, KubeVirt, Kata containers, Volcano is highly desirable.

• Knowledge of RDMA networks is considered an asset. 

• Familiarity with other workload managers, such as Ray and SLURM, is considered an asset.

What We Offer

• Work on technologies that push the boundaries of AI.

• Opportunities to influence design decisions.

• A high-impact role in a deeply technical, fast-moving environment.

• Alongside a competitive salary, we offer a well-rounded benefits package designed to support your health, happiness and work–life balance. This includes generous annual leave, medical and dental plans, a gym card, and a pension scheme with up to 4% employer match. We regularly review our benefits to ensure they continue to meet the needs of our team.

Senior: PLN 260,400 - 352,200
Staff: PLN 350,700 - 474,400
Subject to alignment to the responsibilities and duties of the role - we currently have multiple positions available at both Senior and Staff level

About Graphcore 

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.

To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.

We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence

Job Summary

As a Senior Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. You will work on large scale systems where performance is critical to the success of our projects. Working closely with the Software development and Research teams, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore’s technology. We seek engineers with strong technical skills and an understanding of AI model implementation at scale, eager to make a tangible impact in this rapidly evolving field.

The Team

The Applied AI team’s role is to be proxies for our customers, we need to understand the latest AI models, applications, and software to ensure that Graphcore’s technology works seamlessly with the AI ecosystem and at scale. We build reference applications, contribute to key software libraries e.g. optimising kernels for efficiency on our hardware, and collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications.

If you're excited about advancing the next generation of AI models on cutting-edge hardware, we’d love to hear from you!

Responsibilities and Duties

• Implement latest machine learning models and optimise them for performance and accuracy, scaling to 1000s of accelerators.
• Test and evaluate new internal software releases, provide feedback to software engineering teams, make necessary code fixes, and conduct code reviews.
• Benchmark models and key ML techniques to identify performance bottlenecks and improve model efficiency.
• Design and conduct experiments on novel AI methods, implement them and evaluate results.
• Collaborate with Research, Software, and Product teams to define, build, and test Graphcore’s next generation of AI hardware.
• Engage with AI community and keep in touch with the latest developments in AI.

Candidate Profile

Essential:

• Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field.
• Proficiency in deep learning frameworks like PyTorch/JAX.
• Strong Python or C++ software development skills
• Expertise in deep learning from model training to optimisation and evaluation.
• Experience in distributed training or inference of ML models across 64+ accelerators.
• Capable of designing, executing and reporting from ML experiments.
• Developed deep understanding of performance bottlenecks and how to overcome them.
• Ability to move quickly in a dynamic environment
• Enjoy cross-functional work collaborating with other teams.
• Strong communicator - able to explain complex technical concepts to different audiences.

Desirable:

• Experience in one or more of:
  • MLOps for Kubernetes-based clusters
  • Building production systems with large language models
  • Efficient computing based on low-precision arithmetic.
• Experience writing C++/Triton/CUDA kernels for performance optimisation of ML models.
• Familiarity with HPC systems and networking including Infiniband, NVLink, RoCE technologies.
• Have contributed to open-source projects or published research papers in relevant fields.
• Knowledge of cloud computing platforms.
• Keen to present, publish and deliver talks in the AI community.

Benefits

In addition to a competitive salary, Graphcore offers annual leave policy, medical and dental health plans, a gym card, and employee pension (matched up to 4%). We review our benefits on a yearly basis to ensure we offer a valuable and rewarding benefits programme to our employees. We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Salary Range: PLN 350,700 - 474,400

Subject to alignment to the responsibilities and duties of the role.

About Graphcore

At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

The Role 

We are seeking a Quality Assurance Engineer to join our Workload Management team, which is responsible for enabling next-generation AI accelerator hardware within Kubernetes clusters.  

In this role, you will contribute to the validation of Kubernetes integrations that allow new accelerator to be scheduled, orchestrated, and utilized efficiently across distributed environments.  

Working closely with software engineers and infrastructure teams you will help ensure that our workload management stack - including scheduling, resource allocation, and device management - operates reliably in production environments. The role combines strong automation engineering with a systems-level understanding of distributed platforms, helping ensure our solutions are robust, scalable, and ready for real-world deployment. 

As a senior member of the team, you will play an important role in mentoring engineers and shaping quality practices. 

Responsibilities 

• Design, develop, and maintain automated test suites for Kubernetes integration components. 

• Develop end-to-end, integration, and system tests to validate scheduling and resource allocation within Kubernetes clusters. 

• Identify, document, and track defects, working closely with engineering teams to investigate root causes and validate fixes. 

• Contribute to design of CI/CD pipelines.  

• Validate scalability, performance, and reliability of workload orchestration. 

• Improve test coverage, test stability, and observability across distributed system components. 

• Collaborate with development teams to define quality standards, test strategies, and validation plans early in the development lifecycle. 

• Contribute to the evolution of QA automation frameworks, tooling, and testing practices across the organization. 

• Mentor and support other QA engineers, providing guidance on automation, debugging, and testing best practices. 

Skills and Experience 

Essential 

• Strong programming experience in Python. 

• Hands-on experience with Robot Framework or similar automation frameworks. 

• Experience testing cloud-native systems and containerised environments.  

• Strong understanding of Linux systems.  

• Experience with CI/CD systems such as GitLab CI or GitHub Actions. 

• Experience testing distributed systems.  

• Ability to debug complex issues across multiple system layers (Kubernetes, infrastructure, applications). 

• Strong analytical and problem-solving skills. 

• Excellent communication and collaboration skills.  

Desirable 

• Experience validating Kubernetes integrations.  

• Understanding of AI training and inference workloads and their orchestration requirements. 

Benefits

In addition to a competitive salary, annual leave policy, medical and dental health plans, a gym card and employee pension (matched up to 4%). We review our benefits on a yearly basis to ensure we offer a valuable and rewarding benefits programme to our employees.  We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Salary Range: PLN 303,800 - 411,000

Subject to alignment to the responsibilities and duties of the role

About Graphcore 

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.

To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.

We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence

Job Summary 

As a Senior Software Engineer in the Collectives Simulator team, you will drive the design and development of a large-scale collective communication simulator that enables the analysis of network parameters and the efficient implementation of communication algorithms. The ideal candidate will have experience in designing, developing, and maintaining complex software systems involving custom hardware. You will be responsible for leading development efforts, mentoring junior engineers, and driving technical excellence in our projects.

The Team 

The Collectives Simulator team is responsible for building large-scale collective communication simulator for new AI hardware Graphcore is working on. The simulator allows users to in depth analyse communication algorithms in various network topologies.

Responsibilities and Duties

• Designing, implementing, testing and documenting Collectives Simulator for new AI hardware
• Collaborating with other teams to design, implement and test new features
• Troubleshooting and resolving complex technical issues
• Ensuring seamless integration of new hardware with existing AI ecosystem
• Participating in agile development – working as part of a scrum team 
  
  

Candidate Profile 

Essential:

• Extensive experience in software development using C++ programming language
• Experience with Python and C programming 
• Excellent problem-solving skills and ability to debug and resolve complex issues
• Strong knowledge of multithreading and inter-process communication (IPC) techniques for development of efficient concurrent applications
• Experience with unit testing frameworks such as Boost.Test and Google Test
• Proficiency with build tools such as CMake, Make and Ninja 
• Strong understanding of version control systems (preferred Git)
• Ability to work within a multinational team and with multinational customers
• Excellent written and verbal communication skills

Desirable

• Experience in development of SW simulators
• Experience with RDMA networking libraries (for example libibverbs, libfabric)
• Knowledge of multithreading and parallel computing concepts, including experience with parallel algorithms and optimization for AI/ML and HPC systems
• Experience with Continuous Integration/Continuous Delivery (CI/CD) pipelines, including setting up automated workflows and deployments (for example GitHub Actions, GitLab CI)
• Experience with communication libraries (for example NCCL, MPI)
• Knowledge of machine learning frameworks (for example PyTorch)
• Knowledge of modern C++ standards 17/20

Benefits

In addition to a competitive salary, Graphcore offers annual leave policy, medical and dental health plans, a gym card, and employee pension (matched up to 4%). We review our benefits on a yearly basis to ensure we offer a valuable and rewarding benefits programme to our employees. We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Salary Range: PLN 225,400 - 305,000

Subject to alignment to the responsibilities and duties of the role

About Graphcore 

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.

To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.

We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence

Job Summary 

As a Software Engineer in the Collectives Team, you will join the effort of developing the Collectives Communication Library which enables users to utilize large computing clusters. The ideal candidate will have experience in designing, developing, and maintaining complex software systems involving custom hardware.

The Team 

The Collectives team is responsible for building the Collectives Communication library for new AI hardware Graphcore is working on. The library provides communication primitives optimized to achieve high bandwidth and low latency at very high scale.

Responsibilities and Duties

• Implementing, testing and documenting Collectives Communication Library for new AI hardware accelerator
• Collaborating with other teams to design, implement and test new features
• Troubleshooting and resolving complex technical issues
• Ensuring seamless integration of new hardware with existing AI ecosystem
• Participating in agile development – working as part of a scrum team 
  
  

Candidate Profile 

Essential:

• Experience in software development using C++ programming language
• Experience with Python and C programming 
• Good problem-solving skills and ability to debug and resolve complex issues
• Experience with unit testing frameworks such as Boost.Test and Google Test
• Experience with build tools such as CMake, Make and Ninja 
• Strong understanding of version control systems (preferred Git)

Desirable

• Experience with RDMA networking libraries (for example libibverbs, libfabric)
• Knowledge of multithreading and parallel computing concepts, including experience with parallel algorithms and optimization for AI/ML and HPC systems
• Knowledge of multithreading and inter-process communication (IPC) techniques for development of efficient concurrent applications
• Experience with Continuous Integration/Continuous Delivery (CI/CD) pipelines, including setting up automated workflows and deployments (for example GitHub Actions, GitLab CI)
• Experience with communication libraries (for example NCCL, MPI)
• Knowledge of machine learning frameworks (for example PyTorch)
• Knowledge of modern C++ standards 17/20

Benefits

In addition to a competitive salary, Graphcore offers annual leave policy, medical and dental health plans, a gym card, and employee pension (matched up to 4%). We review our benefits on a yearly basis to ensure we offer a valuable and rewarding benefits programme to our employees. We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

As a C++ Machine Learning Engineer on the AI Models team at Tenstorrent, you’ll work on the training framework behind our most advanced models. You’ll write high-performance C++ code, shape how new layers and operators are implemented, and help models scale across our custom silicon. If you enjoy building the guts of ML systems and seeing them run fast, this role is for you.

This role is hybrid, based out of Warsaw or Gdansk, Poland. We also consider remote candidates on a case-by-case status.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• Strong in C++ and low-level systems programming, especially in performance-critical code.
• Comfortable thinking in tensors, memory layout, and compiler graphs.
• Familiar with PyTorch and curious about how frameworks map to hardware.
• A builder who enjoys solving technical puzzles and digging into the details.

What We Need

• Extend and optimize our ML training framework with new ops, layers, and training features.
• Debug and tune model performance on Tenstorrent chips.
• Work with compiler and kernel teams to make sure models compile and run as expected.
• Support integration of real-world models and help bring them into production.

What You Will Learn

• How ML frameworks and compilers connect at the system level.
• How to translate training workloads into low-level operations optimized for custom silicon.
• How large-scale model training works under the hood, from memory layout to operator fusion.
• What it takes to build infrastructure that supports fast iteration in research and production.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Tenstorrent’s AI Software Infrastructure team builds the platforms that power internal development, orchestrate workloads, and manage large-scale AI hardware across on-prem data centers. This team develops and productionizes infrastructure used both internally and externally on Tenstorrent systems.

This role is hybrid, based out of Toronto, ON; Santa Clara, CA; Austin, TX; Belgrade, Serbia; Warsaw, Poland; or Gdańsk, Poland.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• Strong backend or infrastructure engineer with experience building and operating platforms on bare-metal or on-prem systems.
• Deep experience with Kubernetes, including cluster provisioning, operations, and debugging production issues.
• Proficient in Python or Go with experience building APIs and services.
• Comfortable with Linux systems, networking fundamentals, and debugging distributed systems.
• Collaborative and adaptable, able to work across teams in fast-moving environments.

What We Need

• Design, build, and maintain infrastructure platforms for development workflows, workload orchestration, and ML services.
• Develop APIs and services that enable internal teams to interact with infrastructure systems.
• Productionize and scale Kubernetes-based platforms, including cluster management and operational maturity.
• Integrate automation workflows using CI/CD pipelines and infrastructure-as-code tools such as Ansible and GitOps frameworks.
• Collaborate with SRE, infrastructure, and deployment teams to support large-scale on-prem and customer-facing environments.

What You Will Learn

• How large-scale AI infrastructure is built and operated on custom accelerator hardware.
• Advanced Kubernetes patterns including operators, controllers, and production-scale cluster management.
• How on-prem data center infrastructure differs from cloud-native environments at scale.
• How infrastructure platforms evolve from internal tools to production-grade external systems.
• How cross-functional teams coordinate to deploy and support AI systems in real-world environments.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Tenstorrent is building next-generation AI compute. The Kernel Development and Optimization team develops the performance-critical kernels that unlock the full capability of our hardware across ML and HPC workloads.

This role is hybrid based out of Warsaw or Gdansk, Poland.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• A strong C++ systems engineer with experience writing performance-critical or low-level software.
• Comfortable reasoning about concurrency, synchronization, latency hiding, and compute versus memory trade-offs.
• Data-driven in your approach, using profiling and benchmarking results to guide optimization decisions.
• Effective at debugging complex runtime or kernel-level issues in large codebases.
• Structured thinker who can break down ambiguous performance problems into measurable experiments.

What We Need

• Engineers who can design, implement, and optimize GPU-style kernels such as matrix multiplication, attention primitives, and data-movement operations.
• Clear ownership of performance, from identifying bottlenecks to delivering measurable throughput improvements.
• Contribution to host-side orchestration code and parallelization strategies.
• Development of micro-benchmarks, regression tests, and tooling to ensure correctness and sustained performance gains.
• Close collaboration with compiler, runtime, ML, and hardware teams to integrate kernels into production systems.

What You Will Learn

• The execution model, memory architecture, and performance characteristics of Tenstorrent AI hardware.
• How to write and optimize accelerator kernels outside traditional CUDA-first ecosystems.
• Practical AI-assisted and agentic workflows for kernel generation, debugging, and optimization.
• How to translate performance intuition into rigorous, reproducible engineering results.
• How low-level kernels, compilers, runtime systems, and hardware co-evolve in modern AI platforms.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

About Shelf

Shelf builds software that helps enterprises make AI work in the real world. That only works when our systems are secure, observable, and maintainable under real production pressure.

About the Role

This role is for a senior backend engineer who will focus full-time on security work.

We are looking for a hands-on engineer who can improve our security posture by changing real systems, fixing real problems, and following through until the work is fully implemented and maintained.

This role is embedded close to support and operational engineering, so it stays connected to real incidents, real customer impact, and real follow-through. The scope is broader than one team. You will work across the company’s engineering surface wherever security work needs to land.

Our backend stack includes TypeScript/Node.js, AWS and Azure, PostgreSQL/Aurora, DynamoDB, Elasticsearch, S3, queues, observability tooling, CI/CD, and infrastructure-as-code. Exact stack match matters less than backend depth, security judgment, and learning speed.

Poland remote, with travel for onboarding and a few planned in-person collaboration sessions per year.

What You Will Own

• Find and fix concrete security issues in production systems.
• Improve token lifecycle, revocation, auth flows, auditability, and access controls across backend systems.
• Reduce or eliminate security-sensitive data exposure in logs, events, traces, and internal tooling.
• Improve security detection, logging, and audit trails so incidents are easier to detect, investigate, and contain.
• Rotate secrets, reduce long-lived credentials, tighten access, and relentlessly follow through on overdue security hygiene work.
• Review security findings from scanners and assessments, separate signal from noise, fix valid issues quickly, and improve the underlying architecture where needed.
• Sweep broadly when necessary, including across many repositories and services, rather than stopping at local ownership boundaries.
• Contribute to AI-security and modern application-security work where relevant, including risks introduced by new AI initiatives.
• Write useful technical documentation, post-incident follow-ups, and implementation notes that help security work stay real after the first fix lands.

What Strong Performance Looks Like

• Security improvements actually land in production and stay maintained over time.
• Important follow-through work does not get dropped because it is tedious, cross-cutting, or spread across many repos.
• You can tell the difference between a theoretical issue and a real one, and you act with urgency when the risk is real.
• Incidents lead to better systems, tighter controls, and faster detection instead of only better wording in a document.
• Teams trust you because you improve security through pragmatic implementation and follow-through.

What We Are Looking For

• Strong senior-level backend engineering experience in production systems.
• Real hands-on experience implementing security improvements in code, infrastructure, or operational workflows.
• Experience with application-security topics such as auth, token handling, access control, audit trails, logging, secrets, vulnerability remediation, or incident follow-through.
• Strong debugging and investigative instincts. You can trace ugly real-world issues through code, logs, and system behavior.
• Comfort working across many services and repositories when the problem requires a broad sweep.
• Ability to go from problem statement to implementation to enforcement with real ownership.
• Clear written and verbal communication. You can explain risk, trade-offs, and follow-up work without hiding behind vague security language.
• AI-native working style. You already use AI tools in your daily engineering workflow and know how to verify their output.

Strong Plus

• Experience improving security posture after real incidents or near-miss events.
• Experience with AI-security, OWASP LLM frameworks, or securing LLM-enabled systems.
• Experience improving queryability, logging, and forensic visibility for incident response.
• Experience moving systems from weak defaults to safer patterns such as stronger token handling or better credential models.

How We Evaluate Fit

We care most about implementation, enforcement, and follow-through. If you are the kind of engineer who sees a real security gap and closes it across the codebase, we want to talk.

What Shelf Offers:

• B2B contract.
• Company Stock Options.
• Hardware: MacBook Pro.
• Modern technical stack. Develop open-source software.
• GitHub Copilot subscription.
• Access to Claude Code, OpenAI Codex, TypingMind, and MCP Servers.

Why Shelf:

• Our Leadership Team has deep knowledge management and AI domain expertise and enterprise SaaS background to execute this plan
• We love our customers and our customers love us. Ask a Shelf customer why, and they’ll tell you it’s because of our innovative capabilities, rock-solid reliability, they truly enjoy working with our people, but most of all – it’s the improvements they see in their business KPIs.
• We have raised over $60 million in funding and our investors include Tiger Global, Insight Partners, Connecticut Innovations, and others
• We have high velocity growth powered by the most innovative product in our category, 3X growth for 3 years in a row
• We now have over 100 employees in multiple U.S. states and European countries, and we have ambitious hiring goals over the next few months

Our Values:

Quality - We’re united by our focus on world‑class Quality. Quality in all things – starting with everything that leaves your desk. Everything you touch – every email, report, campaign, and piece of code – should be outstanding. Your work product should blow people away. Having people look at what you’ve done and say, “Wow.” That’s the standard here. Remember that how you do anything is how you do everything. Focus on craftsmanship—your ability to make things better.

Momentum - for us means that you should know that the things you’re responsible for are moving forward. When you look around and see something that’s stalled, get it moving again. We pride ourselves on “ball movement.” When your boss or team leaves you with something, they should return to see measurable progress. Small, continuous movement is our recipe for success. Constantly look for how to make the work around you move forward. We want you to initiate solutions, ideas, and progress. Don’t wait for it to come to you—reach out and create movement. All the time.

Accountability - We expect every team member to feel that they are accountable for more than anyone might normally expect. Each of us should feel real responsibility for things even at the edge of our control. We consistently share and align on expectations, give each other open and respectful feedback, and use those two drivers to ensure that every agreement we make with one another is clear and complete.

Hard Work - We’re here to do something difficult together. We care intensely about the mission and we expect that from our teammates. That care means that we work hard here. Hard work comes with long hours, extra effort…and real opportunity at Shelf. Your passion for creating and sustaining output is a part of our DNA. Support each other, cheer each other on, drive the mission forward. Great teams sustain intense effort together to win.

Learning Agility - We’re innovating in one of the fastest‑moving spaces in history at a time of accelerating global change. That’s incredibly exciting and requires each of us to commit fully to learning each and every day so that we can be the best at what we do. None of us know everything. All of us can learn anything. Staying open and constantly curious is a key success driver at Shelf. It also requires humility. We prize people who are consistently humble and open to making mistakes and growing from them. Recognize also that learning itself is a skill…we need you to be really good at it. Keep dialing in your own understanding about how you learn best and push yourself to keep growing.

Adapt and Thrive - Overcoming challenges lives deep in our DNA. We have a proud history of understanding and living the reality that obstacles are our opportunities…they’re the key to our success. Change is a constant in our business and fighting change is counterproductive. We need you to be good at being uncomfortable and understand that discomfort is the key to growth. Cultivate your own ability to adapt and know that struggling well is something you’ll share with every team you’re on at Shelf. Our company stories are about thriving through real difficulty…together.

Win Together - We win or lose as a team. Always. Everything you do here is connected to the rest of the organization. Part of our shared team environment demands full honesty…real candor and directness with one another. We expect you to constantly be thinking about how to support your teammates and the company, always acting in service to our shared mission and what’s best for the organization as a whole.

We are looking for a Senior Database Engineer. You will be part of a team that will architect highly efficient services, making a scalable, performant and well-tested software solution that is focused on building business visibility portal in Supply Chain domain

There are no limitations, no barriers when the right people are on your way — apply for the vacancy and succeed with us!

Innovecs is an equal opportunity employer. All hiring decisions are based on professional qualifications, skills, and experience. We are committed to a transparent, merit-based recruitment process that prevents discrimination and ensures equal opportunities for all candidates. Reasonable accommodations are available upon request throughout the recruitment process to support accessibility and inclusion. 

Senior Software Engineer, Data Foundations

ABOUT THE ROLE

At Peloton, we treat Data as a Product - a critical asset that powers every member interaction and business decision. The Datastores team’s mission is to provide a reliable, secure, highly available, and highly performant data persistence layer for application services across the company. Our guiding principles: 1. Protect the data, 2. Optimize for scale, speed, and reliability, 3. Eliminate toil.

We are looking for a Senior Software Engineer with deep experience building and operating data-intensive systems to join our Datastores team. This role is ideal for a backend engineer who has built and operated production systems that rely heavily on databases, caching layers, and data pipelines, and who is excited to deepen their expertise in scalable, cloud-native data infrastructure.

You will work at the intersection of application engineering and data platform reliability - partnering with service teams to improve how data is stored, accessed, scaled, and observed across Peloton’s ecosystem.

YOUR DAILY IMPACT AT PELOTON

You will:

• Design, build, and operate backend systems that rely on scalable and highly available data persistence layers.
• Partner with service teams to improve database design, query performance, and data modeling.
• Contribute to automation around infrastructure provisioning using tools like Terraform and Backstage.
  Improve developer experience by building self-service tooling for databases and caching systems.
• Work on observability, performance insights, and autoscaling strategies for production datastores.
• Contribute to architectural decisions around multi-regional data persistence and global scalability.

This role combines hands-on backend engineering with deep exposure to cloud data systems and platform reliability challenges.

WHAT YOU BRING

We’re looking for strong backend engineers who are “data-aligned” — meaning you’ve built systems where data performance, reliability, and modeling mattered.

• 5+ years of software engineering experience building production backend systems.
• Strong experience with relational databases such as PostgreSQL or MySQL, including schema design, indexing, and query optimization.
• Experience working with NoSQL datastores such as DynamoDB, Redis, Elasticsearch, or Memcache.
• Exposure to data pipelines, event-driven architectures, or systems that interface with streaming or batch processing frameworks.
• Experience operating services in cloud environments (preferably AWS).
• A strong understanding of distributed systems fundamentals: latency, consistency models, replication, and scaling strategies.
• Experience running or tuning PostgreSQL or Aurora in production.
• Experience with multi-region architectures.
• Exposure to observability tooling (metrics, tracing, query insights).

WHO YOU ARE

• You think about data integrity first.
• You care about performance and understand that small database decisions can have large system-wide impact.
• You enjoy reducing manual toil through automation.
• You collaborate well with application engineers and platform teams.
• You want to grow deeper into database reliability, scalability, and cloud-native data systems.

ABOUT THE ROLE 

Peloton is looking for a Senior Software Engineer for our E-Commerce team to help scale Peloton's $1+ billion e-commerce channel. You will be responsible for growing and executing the technical roadmap of innovative features by partnering with your peers in product management, design, marketing, member support, international teams, etc. You should be comfortable moving back and forth between front end and back end, have a passion for technical and operational excellence, and relentlessly championing best practices in a continuously evolving and dynamic environment. 

YOUR DAILY IMPACT AT PELOTON 

• Develop on modern front-end web technologies, architectures, and building high performant user-friendly experiences on the web. 
• API development experience with Kotlin and/or Python. 
• Help to evolve our platform to best in class by providing guidance to the teams in terms of technical strategy and excellency. 
• Write understandable, testable code with an eye towards maintainability, scalability and performance. Your code should set the bar for how to approach the next generation of Peloton microservices. 
• Conduct peer code reviews with empathy, providing constructive feedback and fostering a collaborative, supportive environment. 
• Drive architecture meetings, cross-team dependencies, and design docs to help promote a culture of learning and constant improvement. 
• Partner with stakeholders to identify technical trade-offs and to make informed technical and product decisions. 
• Support other software engineers by taking part in pair programming and leading white boarding solutions, team discussions, and task breakdown. 

YOU BRING TO PELOTON 

• 6+ years of software development experience. 
• Experience with Kotlin, Javascript/Typescript or similar languages. 
• 3+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems. 
• Familiarity with accessing, querying and writing to data stores like PostgreSQL.
• Familiar with deployment toolings/environments such as Kubernetes, Docker, GitHub Actions, etc. 
• Strong product and technical mindset. 
• Ability to contribute consistently and positively in a high-paced, fast-changed environment.
• Passionate about technology, new ideas, and always willing to learn new things. 
• Good understanding of Agile, Lean, DevOps, and SRE principles. 
• Acute attention to detail and dedication to quality. 

BONUS POINTS IF YOU 

• Have experience working with subscriptions. 
• Have experience integrating and deploying to managed cloud infrastructure (AWS or GCP). 
• Have experience with microservices architecture and the backend-for-frontend pattern.
• 1+ years of experience in the financial services industry, e-commerce, credit card and payment related product operations. 
• Are able to take a project from scoping requirements through actual execution and delivery. 
• Participate in the software engineering community through meetups, conferences, or contributing to open-source projects. 
• Have experience migrating a monolithic system to an ecosystem of microservices.
• Have experience with or knowledge of TDD, DDD and Event Sourcing.
• Worked on a system with internationalization and localization.

ABOUT THE ROLE 

We are looking for a passionate Backend Software Engineer who is enthusiastic about building scalable and performant backend services. You will be on the team that creates and expands Peloton’s e-commerce presence on the web, retail and other sales channels. You’ll build out the services and the infrastructure that delivers delightful experiences to Peloton’s passionate member community. Your work will positively impact the ability of members to interact and engage with Peloton’s ecommerce platform in new and meaningful ways. 

YOUR DAILY IMPACT AT PELOTON 

• Adhere to the highest engineering quality standards to ensure that systems are traceable, reliable, performant and scalable 
• Develop new backend features to support the delivery of experiences within Peloton’s products ● Build internal infrastructure and tooling as needed to support product features ● Work within an agile development environment with peer engineers, designers, and product 

managers on a daily basis to scope, develop and deliver a software experience that realizes the product strategy 

• Be a part of a positive and inclusive culture that is hyper-focused on cultivating engineer growth and learning 

YOU BRING TO PELOTON 

• 4+ years of software engineering experience 
• Experience with Java, Kotlin, Python or similar languages 
• Experience building and scaling out RESTful microservices 
• Familiarity with accessing, querying and writing to data stores like PostgreSQL, MongoDB, DynamoDB, Elasticsearch, etc. 
• Experience with Spring Boot, Docker, Kubernetes, gRPC, GraphQL 
• Experience in Unit Testing/Test Driven Development 
• Experience in cloud infrastructure like AWS/GCP 
• Solid understanding of git workflows in GitHub or similar git-based version control systems ● Support configuring and developing solutions for CI/CD with experience with tools like Github Actions, Jenkins, CircleCI or similar 
• Experience developing dashboards and sifting testing insights using tools like Datadog or similar observability tools 
• Ability to accomplish complex engineering tasks independently and capacity to work in a high growth, fast-paced environment 
• Experience working on an ecommerce platform is a bonus

SENIOR FULL STACK SOFTWARE ENGINEER, DEVICE SERVICES 

ABOUT THE ROLE

We are looking for a Senior Full Stack Software Engineer - a strong front end/back end developer - to join our team. You will be working within an agile scrum team and building Device Management features to support every Peloton Connected Fitness Device. You are a hybrid API/web developer who is comfortable moving back and forth between the front and back end.

You are someone who thinks about simplicity and works to provide solutions that reduce the complexity across services. You are team-focused and prioritize collective learning in addition to solving problems. You build collective ownership amongst the team by contributing to code reviews, designs, whiteboarding, and pair-programming. 

YOUR DAILY IMPACT AT PELOTON:

• Work on different technologies across API and the Web within an agile development environment.
• Responsible for iterating on the process, technology, and communication with peer engineers, designers, and product managers on a daily basis to scope, develop and deliver a software experience
• Be a technical leader within the team you work with and within Peloton in general. Able to identify common patterns as well as develop and foster development of reusable components and standards across teams
• Coordinate technical projects across teams within Peloton
• Be a valued member of an autonomous, multi-functional agile team

YOU BRING TO PELOTON

• 5+ years of software engineering experience
• Experience with Python, Kotlin, Javascript/Typescript or similar languages
• Proficiency in at least one JavaScript framework like React (preferred), Vue, or similar
• Experience building, testing, and scaling out RESTful microservices
• Familiarity with accessing, querying and writing to data stores like PostgreSQL, MongoDB, DynamoDB, Elasticsearch, etc.
• Familiar with deployment toolings/environments such as Kubernetes, Terraform, GitHub Actions, Jenkins etc
• Experience with android development ecosystem or Site Reliability Engineering is a plus
• Experience with Claude or similar models and AI development tools is a plus.

About the Role

We are looking for a skilled and detail-oriented Automation QA Engineer to join our networking products team. In this role, you will be responsible for ensuring product quality through a combination of automated and manual testing, with a strong focus on building scalable and reliable test automation frameworks.

You will work closely with engineering teams to validate new features, improve existing functionality, and contribute to delivering high-quality networking solutions.

Key Responsibilities

Design, develop, and maintain automated test frameworks using Python, Pytest, and Playwright
Create reliable, scalable, and reusable test scripts for web and API testing
Collaborate closely with developers to validate new features and improve product quality
Participate in design and requirement reviews to ensure testability and quality standards
Perform manual testing when needed to support broader QA coverage
Identify, document, and track defects through to resolution
Develop and maintain clear test plans, test cases, and documentation
Continuously improve testing processes, tools, and strategies
Ensure all QA activities follow company and industry best practices and compliance standards

Required Qualifications

3+ years of experience in QA Automation
Strong hands-on experience with Python and Pytest
Experience with Playwright (Appium is a plus)
Solid experience testing REST APIs (e.g., Postman, browser dev tools)
Understanding of software QA methodologies, tools, and processes
Experience with test management and bug tracking tools (e.g., Jira, Zephyr)
Ability to write clear, structured, and comprehensive test documentation
Strong problem-solving skills and ability to identify root causes of issue

Nice to Have

Experience with VPN products (desktop or mobile)
Knowledge of networking fundamentals (IP, DNS, routing)
Experience with networking hardware (routers, switches, Wi-Fi)
Exposure to mobile testing and tools like Appium
Familiarity with CI/CD pipelines and test automation integration
Excellent verbal and written communication skills with the ability to clearly express ideas in meetings and documentation

What We’re Looking For

A proactive, self-driven engineer with strong attention to detail
Someone who takes ownership of quality and continuously looks for improvements
A team player who can collaborate effectively with cross-functional teams

What We Offer

Competitive salary and benefits
Collaborative and supportive team environment
Opportunities for professional development and growth
Hybrid work model (3 days onsite per week)

There are no limitations, no barriers when the right people are on your way — apply for the vacancy and succeed with us!

Innovecs is an equal opportunity employer. All hiring decisions are based on professional qualifications, skills, and experience. We are committed to a transparent, merit-based recruitment process that prevents discrimination and ensures equal opportunities for all candidates. Reasonable accommodations are available upon request throughout the recruitment process to support accessibility and inclusion.

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.

About Shelf

Shelf builds software that helps enterprises make AI work in the real world. For our Voice AI product, that means reliable runtime systems, strong deployment paths, and production infrastructure that lets engineering teams move fast without creating operational chaos.

About the role

This role is for a senior DevOps / platform engineer who can independently own how our Voice AI product ships and runs.

You will work directly with the team building our Voice AI product rather than as part of a generic centralized Platform function. The job is to make deployment, reliability, observability, and operational quality materially better. That includes infrastructure, CI/CD, environments, incident follow-through, and the practical realities of running AI-heavy systems in production.

Real hands-on experience deploying voice-related systems such as STT, TTS, or STS workloads is a strong plus because it is highly relevant to the direction of the work.

Location – Poland remote, with travel for onboarding and periodic in-person collaboration.

What You Will Own

• Improve how Voice AI services are deployed, run, observed, and supported in production.
• Build and maintain infrastructure as code, CI/CD flows, environment setup, and paved paths that reduce developer friction.
• Strengthen observability with better logs, metrics, traces, dashboards, and alerts.
• Improve reliability through better operational standards, incident handling, post-incident follow-through, and practical SLO thinking.
• Work across application and infrastructure boundaries when that is what the problem requires.
• Reduce recurring toil through automation, documentation, and better defaults.
• Make sound trade-offs around cost, security, performance, and speed.
• Use AI tools aggressively and well to increase your own leverage and improve engineering workflows.

What Strong Performance Looks Like

• The Voice AI team can ship faster and with fewer avoidable operational issues because of your work.
• The systems you touch become easier to understand, easier to operate, and easier to trust.
• You do not need heavy management to create momentum; you find important gaps and close them.
• You handle real production problems without drama and improve the system after the immediate issue is over.

What We Are Looking For

• Strong senior-level experience in platform engineering, DevOps, SRE, infrastructure engineering, or a similar hands-on role.
• Strong cloud and infrastructure fundamentals in AWS, Azure, or a comparable environment.
• Real experience with infrastructure as code and modern delivery pipelines.
• Strong operational judgment around reliability, observability, incident response, and production systems.
• Comfort moving across layers: infrastructure, backend services, developer workflows, and operational tooling.
• Clear communication and strong written habits, especially around runbooks, postmortems, and technical decision making.
• AI-native working style. You already use AI tools in daily engineering work and think in terms of leverage, automation, and better workflows.

Strong Plus

• Real hands-on experience deploying or operating STT, TTS, STS, or similar voice-model workloads.
• Experience improving developer experience for product teams, not just operating infrastructure in isolation.
• Experience with security, access control, compliance-minded infrastructure, and pragmatic operational guardrails.
• Ability to debug problems that cut across application code, infrastructure, and third-party systems.

How We Evaluate Fit

We care more about independent ownership, systems judgment, and practical operating ability than about a perfect keyword match to every tool we use. If you are the kind of engineer who can step into a messy production environment and make it calmer, faster, and more reliable, we want to talk.

What Shelf Offers

• B2B contract
• Company Stock Options
• Hardware: MacBook Pro
• Modern technical stack. Develop open-source software
• Premier AI development environment: GitHub Copilot, Claude Code, OpenAI, TypingMind, v0, MCP Servers, plus credits to experiment with emerging AI tools

Why Shelf:

• GenAI will be at least a $4 Trillion market by 2032 and Shelf is a core infrastructure that enables GenAI to be deployed at scale
• Our Leadership Team has deep knowledge management and AI domain expertise and enterprise SaaS background to execute this plan
• We've been helping our customers prevent knowledge mismanagement since our founding in 2017
• We have raised over $60 million in funding and our investors include Tiger Global, Insight Partners, Connecticut Innovations, and others
• We have high velocity growth powered by the most innovative product in our category, 3X growth for 3 years in a row
• We now have over 100 employees in multiple U.S. states and European countries, and we have ambitious hiring goals over the next few months

Our Values:

Quality - We’re united by our focus on world‑class Quality. Quality in all things – starting with everything that leaves your desk. Everything you touch – every email, report, campaign, and piece of code – should be outstanding. Your work product should blow people away. Having people look at what you’ve done and say, “Wow.” That’s the standard here. Remember that how you do anything is how you do everything. Focus on craftsmanship—your ability to make things better.

Momentum - for us means that you should know that the things you’re responsible for are moving forward. When you look around and see something that’s stalled, get it moving again. We pride ourselves on “ball movement.” When your boss or team leaves you with something, they should return to see measurable progress. Small, continuous movement is our recipe for success. Constantly look for how to make the work around you move forward. We want you to initiate solutions, ideas, and progress. Don’t wait for it to come to you—reach out and create movement. All the time.

Accountability - We expect every team member to feel that they are accountable for more than anyone might normally expect. Each of us should feel real responsibility for things even at the edge of our control. We consistently share and align on expectations, give each other open and respectful feedback, and use those two drivers to ensure that every agreement we make with one another is clear and complete.

Hard Work - We’re here to do something difficult together. We care intensely about the mission and we expect that from our teammates. That care means that we work hard here. Hard work comes with long hours, extra effort…and real opportunity at Shelf. Your passion for creating and sustaining output is a part of our DNA. Support each other, cheer each other on, drive the mission forward. Great teams sustain intense effort together to win.

Learning Agility - We’re innovating in one of the fastest‑moving spaces in history at a time of accelerating global change. That’s incredibly exciting and requires each of us to commit fully to learning each and every day so that we can be the best at what we do. None of us know everything. All of us can learn anything. Staying open and constantly curious is a key success driver at Shelf. It also requires humility. We prize people who are consistently humble and open to making mistakes and growing from them. Recognize also that learning itself is a skill…we need you to be really good at it. Keep dialing in your own understanding about how you learn best and push yourself to keep growing.

Adapt and Thrive - Overcoming challenges lives deep in our DNA. We have a proud history of understanding and living the reality that obstacles are our opportunities…they’re the key to our success. Change is a constant in our business and fighting change is counterproductive. We need you to be good at being uncomfortable and understand that discomfort is the key to growth. Cultivate your own ability to adapt and know that struggling well is something you’ll share with every team you’re on at Shelf. Our company stories are about thriving through real difficulty…together.

Win Together - We win or lose as a team. Always. Everything you do here is connected to the rest of the organization. Part of our shared team environment demands full honesty…real candor and directness with one another. We expect you to constantly be thinking about how to support your teammates and the company, always acting in service to our shared mission and what’s best for the organization as a whole.

About Shelf

Shelf builds software that helps enterprises make AI work in the real world. We care about the hard part: reliable systems, clear operational logic, and production-grade engineering that makes AI useful instead of brittle.

Job Description:

This role is for a senior backend engineer who can own important systems, not just implement tickets.

You will take ambiguous problems, design the right backend approach, ship it, and keep it healthy in production. We want someone who is strong technically, communicates clearly, and has the judgment to make systems simpler, safer, and easier to evolve over time.

This is a product engineering role with real ownership from system design through production.

What You Will Own

• Design and ship backend services, APIs, data flows, and background processing for production systems.
• Turn vague requirements into concrete technical plans, trade-offs, and execution.
• Own services after launch: reliability, observability, performance, and incident follow-through.
• Make sound decisions around system boundaries, data models, interfaces, and scaling paths.
• Write clear technical specs, architecture notes, and diagrams when they help the team move faster.
• Work closely with product, frontend, and platform engineers to deliver end-to-end outcomes.
• Improve engineering leverage with AI tooling, automation, and internal workflows rather than using AI as a gimmick.
• Raise the quality bar through code review, design review, and pragmatic technical leadership.

What Strong Performance Looks Like

• You reliably move important backend work forward without waiting to be tightly managed.
• Your systems are easier to operate and easier to change because of your design decisions.
• You communicate trade-offs clearly and make the team around you more effective.
• You use AI tools well: to accelerate analysis, implementation, debugging, writing, and repetitive work, while keeping a high verification bar.

What We Are Looking For

• Strong senior-level backend engineering experience in production systems.
• Strong Python skills and the ability to design clean, maintainable backend code.
• Good distributed systems judgment: concurrency, failure handling, data consistency, async work, and service boundaries.
• Hands-on cloud experience in AWS, Azure, or a similar environment.
• Comfort with SQL and NoSQL systems, schema design, and performance tuning.
• Ability to go from problem statement to design to production rollout with real ownership.
• Clear written and verbal communication. You can explain systems, trade-offs, and incidents without hiding behind jargon.
• AI-native working style. You already use AI tools in your daily engineering workflow and want to keep pushing that further.

Strong Plus

• Experience with LLM-backed systems, search, retrieval, AI infrastructure, or data-heavy pipelines.
• Working knowledge of TypeScript or the ability to contribute across the stack when needed.
• Experience shaping technical direction for other engineers, even without formal management responsibility.

How We Evaluate Fit

We care more about ownership, systems judgment, and learning velocity than a perfect keyword match to our stack. If you are the kind of engineer who can take a messy problem and turn it into a strong production system, we want to talk.

What Shelf Offers:

• B2B contract.
• Company Stock Options.
• Hardware: MacBook Pro.
• Modern technical stack. Develop open-source software.
• GitHub Copilot subscription.
• Access to Claude Code, OpenAI Codex, TypingMind, and MCP Servers.

Why Shelf:

• Our Leadership Team has deep knowledge management and AI domain expertise and enterprise SaaS background to execute this plan
• We love our customers and our customers love us. Ask a Shelf customer why, and they’ll tell you it’s because of our innovative capabilities, rock-solid reliability, they truly enjoy working with our people, but most of all – it’s the improvements they see in their business KPIs.
• We have raised over $60 million in funding and our investors include Tiger Global, Insight Partners, Connecticut Innovations, and others
• We have high velocity growth powered by the most innovative product in our category, 3X growth for 3 years in a row
• We now have over 100 employees in multiple U.S. states and European countries, and we have ambitious hiring goals over the next few months

Our Values:

Quality - We’re united by our focus on world‑class Quality. Quality in all things – starting with everything that leaves your desk. Everything you touch – every email, report, campaign, and piece of code – should be outstanding. Your work product should blow people away. Having people look at what you’ve done and say, “Wow.” That’s the standard here. Remember that how you do anything is how you do everything. Focus on craftsmanship—your ability to make things better.

Momentum - for us means that you should know that the things you’re responsible for are moving forward. When you look around and see something that’s stalled, get it moving again. We pride ourselves on “ball movement.” When your boss or team leaves you with something, they should return to see measurable progress. Small, continuous movement is our recipe for success. Constantly look for how to make the work around you move forward. We want you to initiate solutions, ideas, and progress. Don’t wait for it to come to you—reach out and create movement. All the time.

Accountability - We expect every team member to feel that they are accountable for more than anyone might normally expect. Each of us should feel real responsibility for things even at the edge of our control. We consistently share and align on expectations, give each other open and respectful feedback, and use those two drivers to ensure that every agreement we make with one another is clear and complete.

Hard Work - We’re here to do something difficult together. We care intensely about the mission and we expect that from our teammates. That care means that we work hard here. Hard work comes with long hours, extra effort…and real opportunity at Shelf. Your passion for creating and sustaining output is a part of our DNA. Support each other, cheer each other on, drive the mission forward. Great teams sustain intense effort together to win.

Learning Agility - We’re innovating in one of the fastest‑moving spaces in history at a time of accelerating global change. That’s incredibly exciting and requires each of us to commit fully to learning each and every day so that we can be the best at what we do. None of us know everything. All of us can learn anything. Staying open and constantly curious is a key success driver at Shelf. It also requires humility. We prize people who are consistently humble and open to making mistakes and growing from them. Recognize also that learning itself is a skill…we need you to be really good at it. Keep dialing in your own understanding about how you learn best and push yourself to keep growing.

Adapt and Thrive - Overcoming challenges lives deep in our DNA. We have a proud history of understanding and living the reality that obstacles are our opportunities…they’re the key to our success. Change is a constant in our business and fighting change is counterproductive. We need you to be good at being uncomfortable and understand that discomfort is the key to growth. Cultivate your own ability to adapt and know that struggling well is something you’ll share with every team you’re on at Shelf. Our company stories are about thriving through real difficulty…together.

Win Together - We win or lose as a team. Always. Everything you do here is connected to the rest of the organization. Part of our shared team environment demands full honesty…real candor and directness with one another. We expect you to constantly be thinking about how to support your teammates and the company, always acting in service to our shared mission and what’s best for the organization as a whole.

Location: Poland (Remote/Flexible)

We Are: 

RTB House is a global company that provides state-of-the-art marketing technologies for top brands and agencies worldwide. Its proprietary ad-buying engine is the first in the world to be powered entirely by Deep Learning algorithms, enabling advertisers to generate outstanding results and reach their goals at every stage of the funnel. 

We are looking for Senior Engineers to support our Bidding Platform organization which is the core of the RTB business, processing over 20 million requests per second to participate in real-time auctions and display advertisements to customers from 90+ countries. If you want to work on technically complex and demanding solutions, this is the opportunity for you!

Our Senior Engineers are experts who combine deep technical expertise with a strong sense of ownership, and they take on Tech Lead roles in complex, cross-team projects.

You will:

• Design and lead implementation of system changes that deliver high performance, scalability and observability for displaying and tracking ads world wide. Develop tools and optimizations to drive measurable improvements in critical user performance metrics.
• Implement, test, deploy, monitor and maintain (in all aspects, including setting up environment, writing configuration code, monitor production) HTTP / gRPC services and batch jobs in Java and Python, ensuring adherence to the high engineering standards.
• Provide hands-on technical leadership: solving complex system challenges, participating in planning and scoping of projects, and ensuring the implementation of the highest coding standards through participation in code reviews.

Requirements:

• Excellent understanding of how complex IT systems work - from the hardware level, through software, to algorithms.
• Very good knowledge of fundamental Internet protocols and technologies (DNS, HTTP, cookies and others).
• Good knowledge of basic methods of creating concurrent programs and distributed systems (from thread level to geo-distributed clusters level).
• Practical ability to observe, monitor and analyse the operation of production systems (and draw valuable conclusions from it).
• The ability to critically analyze the solutions created in terms of performance (from estimating the theoretical performance of the designed systems to detecting and removing actual performance problems in production).
• General knowledge of issues (typical problems and methods of solving them) in the areas of 'high scalability' and 'high availability'.
• C1 level in English and Polish.

Nice to have:

• Experience in the AdTech/Real Time Bidding space.
• Experience contributing to Real User Monitoring (RUM) systems.

Selected technologies used: 

• Java, Python
• Aerospike, Memcached
• Google Cloud Platform, BigQuery, MinIO
• Kafka, Clickhouse
• PostgreSQL
• Elasticsearch
• Kubernetes, Prometheus
• Jenkins, Graphite

We Offer:

• Projects focused on extreme performance and high code quality – clean code and solid code reviews are our standard.
• Collaboration within an interdisciplinary, self-sufficient team (including DevOps, database experts, backend developers, product designers, and QA engineers).
• Access to modern technologies and the opportunity to apply them in large-scale, high-impact projects.
• Cooperation based on B2B contract.
• You can cooperate 100 % remotely or choose one of our office spaces in Warsaw or Cracow.

Apply now

You don't need to tick every box to apply. If you are passionate about software engineering, send us your CV, and we'll review it.

Location: Poland

We Are: 

RTB House is a global company that provides state-of-the-art marketing technologies for top brands and agencies worldwide. Its proprietary ad-buying engine is the first in the world to be powered entirely by Deep Learning algorithms, enabling advertisers to generate outstanding results and reach their goals at every stage of the funnel. 

Our Platform Engineering team, within the Bidding Platform structure, is looking for engineers with a strong interest in system-related topics (deployment, monitoring, databases, load balancing), as well as experience in leading the specification and development of complex projects and coordinating the work of others.
If you want to work on technically challenging and sophisticated solutions, this is the opportunity for you!

You Will: 

• Plan and then hands-on lead further development within a given technical area like deployment, monitoring, databases or load balancing, in the context of existing infrastructure within RTB House;
• Coordinate the work of a project team of 3-4 people, also making arrangements with other teams and units within RTB House;
• Ensure the reliability and scalability of the solutions built.

Desired Experience: 

• Excellent understanding of how complex IT systems work - from the hardware level, through software, to algorithms;
• Ability to proactively define requirements, ask appropriate questions and draw conclusions that will combine technical constraints and business needs;
• Ability to lead the design and implementation of a solution;
• Experience in leading project teams;
• Willingness to be involved in topics that go beyond programming and design, such as responsibility for technical areas or communication with other teams;
• Proactive attitude, independence in taking action;
• Extensive experience in programming and readiness to implement key system elements as well as involvement in code reviews;
• Good knowledge of methods of creating concurrent programs and distributed systems;
• Ability to critically analyze created solutions in terms of performance (from estimating the theoretical performance of designed systems to detecting and removing actual performance problems in production);
• C1 level in English and Polish.

Selected technologies used:

• Java, Python
• Kubernetes, Prometheus
• Aerospike, Memcached
• Google Cloud Platform, BigQuery, MinIO
• Kafka, Clickhouse
• PostgreSQL
• Elasticsearch
• Jenkins, Graphite

We Offer:

• Projects focused on extreme performance and high code quality – clean code and solid code reviews are our standard.
• Collaboration within an interdisciplinary, self-sufficient team (including DevOps, database experts, backend developers, product designers, and QA engineers).
• Access to modern technologies and the opportunity to apply them in large-scale, high-impact projects.
• Cooperation based on B2B contract.
• You can cooperate 100 % remotely or choose one of our office spaces in Warsaw or Cracow.

Apply now!

You don't need to tick every box to apply. If you are passionate about software engineering, send us your CV, and we'll review it.

Location: Poland

We Are: 

RTB House is a global company that provides state-of-the-art marketing technologies for top brands and agencies worldwide. Its proprietary ad-buying engine is the first in the world to be powered entirely by Deep Learning algorithms, enabling advertisers to generate outstanding results and reach their goals at every stage of the funnel. 

The Bidding Platform Team is crucial in driving our company’s success. We work collaboratively to deliver system modules and components that support over 24 million queries per second, all while maintaining a low latency of 50 ms.

You Will: 

• Design and programming of a wide range of modules and components as part of a system that supports over 24M queries per second and low latency.
• Work on the optimization of the developed software in terms of response time and resource consumption
• Ensure the reliability and scalability of the solutions built
• Create performance and correctness tests for new system components
• Analyse new technologies in terms of their applicability in production conditions
• Develop tools for monitoring and analysing the operation of the production system
• Continuous optimization of existing tools and processes

Desired Experience: 

• Proficiency in programming
• Excellent understanding of how complex IT systems work (from the hardware level, through software, to algorithmics)
• Very good knowledge of fundamental Internet protocols and technologies (DNS, HTTP, cookies and others)
• Good knowledge of basic methods of creating concurrent programs and distributed systems (from thread level to continent level)
• Practical ability to observe, monitor and analyse the operation of production systems (and draw valuable conclusions from it)
• The ability to critically analyze the solutions created in terms of performance (from estimating the theoretical performance of the designed systems to detecting and removing actual performance problems in production)
• General knowledge of issues (typical problems and methods of solving them) in the areas of 'high scalability' and 'high availability'
• C1 level in English and Polish

Selected Technologies:

• Java, Python
• Aerospike, Memcached
• Google Cloud Platform, BigQuery, MinIO
• Kafka, Clickhouse
• PostgreSQL
• Elasticsearch
• Kubernetes, Prometheus
• Jenkins, Graphite

We Offer: 

• Projects focused on extreme performance and high code quality – clean code and solid code reviews are our standard.
• Collaboration within an interdisciplinary, self-sufficient team (including DevOps, database experts, backend developers, product designers, and QA engineers).
• Access to modern technologies and the opportunity to apply them in large-scale, high-impact projects.
• Cooperation based on B2B contract.
• You can cooperate 100 % remotely or choose one of our office spaces in Warsaw or Cracow.

Apply now! 

You don't need to tick every box to apply. If you are passionate about software engineering, send us your CV, and we'll review it.

Fairmarkit is looking for a skilled Python Backend  Software Engineer to join Fairmarkit and strengthen our growing engineering team. Experience in leading result oriented teams would be a benefit.

Technologies used on the team:

• Python 3.9, 3.11
• Django, DRF, FastAPI
• DDD, CQRS
• PostgreSQL, Redis, RabbitMQ, Elasticsearch, Kafka
• AWS: EKS, Security Groups, ALBs, RDS, ElastiCache, ElasticSearch, EC2, S3, SES, SQS
• Docker & Docker-compose
• Kubernetes, Vault
• Nginx
• Celery
• Jira, GitLab, Sentry, Grafana, Loki, Mimir, Tempo

Responsibilities

• Full cycle of designing & implementing cloud based solution;
• Coordinating & participating in solution implementation, performance, stability, etc.;
• Participate in the Engineering strategy definition and execution;
• Growing technical culture & skills in the team;
• Determine and identify solution specifications and/or needs;
• Analyze the needs of large solutions and breaking them down into smaller manageable components;
• Communicate technical solution requirements to developers. Explain system structure to them and provide assistance throughout the assembly process; 
• Choose suitable software, hardware and suggest integration methods;
• Help resolve complex technical problems as and when they arise;
• Ensure that systems satisfy quality standards and procedures. Carry out testing procedures to ensure systems are running smoothly;
• Create and maintain technical documentation

Requirements

• Proven ability to practically apply architecture standards and patterns to accelerate and enable the delivery of technology solutions to business needs. Proficiency in DDD and CQRS;
• Strong Python skills;
• At least 4 years of technical leadership experience with defining, designing, developing, and implementing complex integration business solution;
• Demonstrated knowledge in the use of microservices in reducing development complexity;
• Strong analytical and problem-solving skills;
• Deep understanding of fundamental concepts of SQL and NoSQL databases;
• Practical experience with messaging services (Kafka, RabbitMQ, etc.), understanding how to choose & use them properly;
• Understanding networking and security concepts of at least one major cloud;
• Strong knowledge and hands on experience with Kubernetes;
• Excellent communication skills, ability to present ideas, and concepts in a clear and concise manner. Excellent English skills.
• Practical experience in designing or implementing integration solutions;

Nice to have:

• Practical experience in designing or implementing data processing solutions;
• Familiarity with data processing frameworks (Spark, Flink, Storm, etc.);

Advantages of working with us:

• Flexible working hours
• Highest level of development and pure DevOps culture - top technology stack
• Skilled and highly motivated teammates, passionate about technologies
• Fast decision making process in a company and effective interaction between teams and departments
• Possibility to improve the development process and bring your ideas, knowledge sharing between colleagues and teams
• Latest MacOs work equipment (macbook)
• 100% salary sick leaves covering, 20 days of paid vacation
• Referral program: we appreciate your recommendations and reward every successful hire
• Professional trainings & courses, attendance of conferences & meetups are paid by Fairmarkit

#Poland #Europe #Serbia

About Shelf

The enterprise is going agentic — but most AI agents fail when they hit real business complexity. Shelf is changing that.

We’ve built the operating system for agentic AI: a platform that models your policies, workflows, and operational logic into an AI Data Model so agents don’t just respond — they reason. The result? AI that understands how your business actually runs and delivers precise, compliant, auditable outcomes at scale.

Brands like Amazon, Nespresso, HelloFresh, and KeyBank trust Shelf to power AI agents that resolve 85% of cases autonomously, cut handle times by 20–25%, and turn hours-long processes into seconds. We’re partnered with Microsoft, Salesforce, OpenAI, Snowflake, and Databricks — and recognized by Gartner (Cool Vendor) and IDC (Innovator) for our approach.

If you want to sell the infrastructure that makes agentic AI actually work in the enterprise, you’re in the right place.

Our mission is to empower humanity with better answers everywhere.

Senior Frontend React Developer:

As a Frontend Engineer at Shelf, you'll craft the interfaces that make enterprise AI accessible and trustworthy. While others are building chatbots, we're solving the harder problem: how do you build UIs that help users confidently navigate AI-powered systems processing millions of documents, while maintaining enterprise-grade reliability?

You won't just build React components — you'll architect production-ready Next.js applications that handle high-load scenarios with complex states, real-time AI streaming, and multiple layers of enterprise functionality. Every interface decision you make directly impacts how knowledge workers at the biggest companies in the market interact with their most critical information.

This is frontend engineering at its most demanding. You'll tackle challenges like building real-time streaming interfaces for LLM responses, architecting state management for concurrent AI operations across multiple tenants, creating accessible interfaces for complex knowledge graphs with thousands of nodes, and ensuring blazing fast interactions even with petabytes of searchable content. Your components will bridge everything from enterprise authentication systems to cutting-edge AI models, requiring both sophisticated technical skills and sharp product instincts.

We obsess over frontend quality because we're building the trust layer for AI itself. When your interfaces gracefully handle edge cases, provide clear feedback during AI processing, and remain performant under load, you're not just meeting UX standards - you're directly enabling users to trust AI-powered answers and make critical business decisions with confidence.

You'll work on production SSR applications serving thousands of enterprise users, implementing localization for global markets, ensuring accessibility compliance, and maintaining security standards that pass SOC 2 audits. Your code will integrate with our Elasticsearch clusters, DynamoDB tables, and Aurora PostgreSQL databases through the largest park of REST APIs, handling real-time websocket updates for AI streaming and collaborative features.

We're a product company that ships fast without compromising on lasting quality. You'll work alongside proactive, ever-learning engineers who actively use AI coding assistants (OpenAI Codex, Claude Code) to accelerate development. We build custom MCP servers, implement DSPy pipelines for LLM optimization, and experiment with different AI tools for implementation. In our environment, AI isn't just what we build — it's how we build.

The best engineers we know are drawn to problems that matter. If you're excited by the challenge of building interfaces that make the AI revolution actually usable and trustworthy for enterprise users, this role offers the rare combination of technical depth, meaningful impact, and the prestige of solving UX patterns that the industry hasn't figured out yet.

Responsibilities

• Design and implement production-ready Next.js SSR applications with complex state management, handling high-load scenarios and real-time AI interactions at scale
• Build interfaces for AI-powered features including streaming LLM responses, semantic search across millions of documents, interactive knowledge graphs, intelligent content recommendations, and AI agentic builders
• Architect component libraries and maintain our design system in Storybook, ensuring reusability, accessibility, and consistent UX patterns across the platform
• Develop enterprise-grade functionality including multi-language support, accessibility compliance, cross-browser compatibility, and security implementations that meet SOC 2 standards
• Create comprehensive technical specifications and component API designs that clearly communicate interface decisions, performance trade-offs, and accessibility considerations
• Build and optimize data-heavy UIs using React Flow for node-based graphs, Highcharts for analytics visualizations, and custom virtualization for handling large datasets
• Instrument components for performance monitoring, track Core Web Vitals, implement error boundaries, and build automated visual regression tests with Playwright
• Take full ownership of the features you build, monitoring their performance in production, optimizing bundle sizes, and ensuring they scale gracefully as user load grows
• Work with SWR for intelligent data fetching, caching, and revalidation strategies that minimize API calls while keeping UIs responsive and data fresh
• Integrate with backend services via REST APIs, handle websocket connections for real-time updates, and implement optimistic UI patterns for seamless user experiences
• Leverage AI coding assistants to accelerate development while maintaining high code quality, and contribute to building internal AI agents that automate frontend workflows
• Stay current with React ecosystem best practices, Next.js updates, AI UX patterns, and modern frontend architecture—experiment with new approaches and share findings with the team
• Contribute to our engineering standards and practices through thoughtful code reviews, mentor colleagues on frontend best practices, and actively participate in our culture of continuous learning

Requirements

• Over 5 years of professional frontend engineering experience, including more than 3 years specializing in React and modern JavaScript/TypeScript
• Production Next.js experience - you've built and shipped SSR applications at scale, understand app router patterns, server components, and the trade-offs between SSR, SSG, and CSR
• Deep TypeScript expertise - you write type-safe code with generics, utility types, and advanced patterns. 
• Complex state management - hands-on experience architecting state solutions for challenging scenarios: real-time collaboration, optimistic updates, multi-tenant data isolation, and large-scale data synchronization
• Enterprise application development - you've built applications with localization (i18n), accessibility, security best practices, and compliance requirements. You understand the complexity beyond "making it work"
• AI/LLM interface experience - you've built interfaces for AI-powered features: streaming token responses, chat UIs, semantic search, or similar real-time AI interactions
• High-load optimization - proven track record optimizing applications for performance under heavy traffic, large datasets, and concurrent operations. You monitor Core Web Vitals and know how to improve them
• Modern CSS mastery - strong expertise with Tailwind CSS and/or CSS-in-JS solutions. You can implement pixel-perfect designs while maintaining responsive layouts and dark mode support
• Write well-structured, testable code with thoughtful component abstractions and clean APIs. You know when to abstract and when to keep it simple
• Strong problem-solving skills and genuine curiosity - you don't wait for designs to be perfect but proactively identify UX issues and propose solutions. You're never satisfied with "good enough" and constantly refine your craft
• Experience with AI coding assistants (OpenAI Codex, Claude, etc.) and eagerness to push the boundaries of AI-assisted development. Part of this role involves creating AI agents to automate portions of the frontend workflow
• Familiarity with observability and monitoring tools like Datadog, Sentry, or similar platforms for tracking frontend performance and errors in production
• Upper-Intermediate or better English skills for technical communication, documentation, and collaborating with distributed teams
• Present your work effectively both verbally and visually - you can articulate design decisions, create component documentation, and explain technical trade-offs clearly

Be a Plus:

• Experience with React Flow, Highcharts, or other complex data visualization libraries
• Understanding of Node.js/Python/backend fundamentals - you can read backend code and contribute to API design discussions
• Experience with SWR, React Query, or similar data fetching libraries
• Hands-on experience with vector search UIs, RAG interfaces, or semantic search implementations
• Familiarity with MCP (Model Context Protocol), DSPy, or other cutting-edge AI frameworks
• Experience with monorepo tools (Lerna, Turborepo, Nx) and managing shared component libraries
• AWS services knowledge (S3, CloudFront, Lambda) and understanding of serverless architectures
• Built or contributed to design systems or open-source component libraries
• Experience with Playwright, Puppeteer, or Cypress for comprehensive E2E testing
• Experience building AI agent interfaces or agentic AI workflows

What Shelf Offers:

• B2B contract
• Company Stock Options
• Hardware: MacBook Pro
• Modern technical stack. Develop open-source software
• Premier AI development environment: GitHub Copilot, Claude Code, OpenAI Codex, TypingMind, v0, MCP Servers, plus credits for experimenting with emerging AI tools

Why Shelf

• Our Leadership Team has deep knowledge management and AI domain expertise and enterprise SaaS background to execute this plan
• We love our customers and our customers love us. Ask a Shelf customer why, and they’ll tell you it’s because of our innovative capabilities, rock-solid reliability, they truly enjoy working with our people, but most of all – it’s the improvements they see in their business KPIs.
• We have raised over $60 million in funding and our investors include Tiger Global, Insight Partners, Connecticut Innovations, and others
• We have high velocity growth powered by the most innovative product in our category, 3X growth for 3 years in a row
• We now have over 100 employees in multiple U.S. states and European countries, and we have ambitious hiring goals over the next few months

Our Values:

Quality - We’re united by our focus on world‑class Quality. Quality in all things – starting with everything that leaves your desk. Everything you touch – every email, report, campaign, and piece of code – should be outstanding. Your work product should blow people away. Having people look at what you’ve done and say, “Wow.” That’s the standard here. Remember that how you do anything is how you do everything. Focus on craftsmanship—your ability to make things better.

Momentum - for us means that you should know that the things you’re responsible for are moving forward. When you look around and see something that’s stalled, get it moving again. We pride ourselves on “ball movement.” When your boss or team leaves you with something, they should return to see measurable progress. Small, continuous movement is our recipe for success. Constantly look for how to make the work around you move forward. We want you to initiate solutions, ideas, and progress. Don’t wait for it to come to you—reach out and create movement. All the time.

Accountability - We expect every team member to feel that they are accountable for more than anyone might normally expect. Each of us should feel real responsibility for things even at the edge of our control. We consistently share and align on expectations, give each other open and respectful feedback, and use those two drivers to ensure that every agreement we make with one another is clear and complete.

Hard Work - We’re here to do something difficult together. We care intensely about the mission and we expect that from our teammates. That care means that we work hard here. Hard work comes with long hours, extra effort…and real opportunity at Shelf. Your passion for creating and sustaining output is a part of our DNA. Support each other, cheer each other on, drive the mission forward. Great teams sustain intense effort together to win.

Learning Agility - We’re innovating in one of the fastest‑moving spaces in history at a time of accelerating global change. That’s incredibly exciting and requires each of us to commit fully to learning each and every day so that we can be the best at what we do. None of us know everything. All of us can learn anything. Staying open and constantly curious is a key success driver at Shelf. It also requires humility. We prize people who are consistently humble and open to making mistakes and growing from them. Recognize also that learning itself is a skill…we need you to be really good at it. Keep dialing in your own understanding about how you learn best and push yourself to keep growing.

Adapt and Thrive - Overcoming challenges lives deep in our DNA. We have a proud history of understanding and living the reality that obstacles are our opportunities…they’re the key to our success. Change is a constant in our business and fighting change is counterproductive. We need you to be good at being uncomfortable and understand that discomfort is the key to growth. Cultivate your own ability to adapt and know that struggling well is something you’ll share with every team you’re on at Shelf. Our company stories are about thriving through real difficulty…together.

Win Together - We win or lose as a team. Always. Everything you do here is connected to the rest of the organization. Part of our shared team environment demands full honesty…real candor and directness with one another. We expect you to constantly be thinking about how to support your teammates and the company, always acting in service to our shared mission and what’s best for the organization as a whole.

About Shelf

The enterprise is going agentic — but most AI agents fail when they hit real business complexity. Shelf is changing that.

We’ve built the operating system for agentic AI: a platform that models your policies, workflows, and operational logic into an AI Data Model so agents don’t just respond — they reason. The result? AI that understands how your business actually runs and delivers precise, compliant, auditable outcomes at scale.

Brands like Amazon, Nespresso, HelloFresh, and KeyBank trust Shelf to power AI agents that resolve 85% of cases autonomously, cut handle times by 20–25%, and turn hours-long processes into seconds. We’re partnered with Microsoft, Salesforce, OpenAI, Snowflake, and Databricks — and recognized by Gartner (Cool Vendor) and IDC (Innovator) for our approach.

If you want to sell the infrastructure that makes agentic AI actually work in the enterprise, you’re in the right place.

Our mission is to empower humanity with better answers everywhere.

Summary

The R&D department plays a pivotal role in driving Shelf to disrupt the market. We are looking for Machine Learning experts that are able to deliver end to end with a blend of experience: Python engineering, ML engineering, and pragmatic Data science and Machine learning research. You will ship end-to-end features—from problem framing and experimentation to service deployment, and ongoing operations—quickly and with high quality. Your work will power ML- and LLM-driven services used by top enterprises like Amazon, Mayo Clinic, AmFam, and Nespresso.

This role requires strong Python engineering capabilities coupled with a strong ability to deliver robust ML solutions, along with ML research literacy to choose sound methodologies, define metrics, and evaluate different approaches effectively.

You’ll work in an agile environment, move fast, and own what you ship.

Responsibilities

• Own end-to-end delivery: ideate, research, prototype, productionize, and operate ML-powered services with an expectation to iterate and ship frequently
• Stand up robust training/evaluation pipelines: dataset curation, labeling/feedback loops, experiment tracking, offline/online metrics, and A/B testing
• Solve problems using sound methodology, evaluate approaches along with 
• Transform ML models and LLM workflows (including RAG) into reusable, versioned, observable production services with CI/CD
• Collaborate with Product Owners to shape our product and requirements
• Conduct and receive code reviews; champion engineering excellence, testing discipline, and documentation
• Leverage AI coding assistants to accelerate development and create internal agents that automate parts of the engineering workflow
• Share learnings through demos, docs, and knowledge sessions; contribute to a culture of continuous improvement

Requirements

• 3+ years of professional experience researching and shipping ML-based solutions, with strong Python skills and a track record of delivering fast without sacrificing quality
• Proven experience in owning research problems end-to-end, starting from initial data analysis, through iterative research phases to delivering on production
• Practical NLP/LLM experience: transformers, embeddings, prompt design, and evaluation; ability to choose and justify metrics and methodologies
• Strong backend fundamentals: designing RESTful services, schema design, data modeling, and performance tuning for SQL and NoSQL stores
• Data processing skills: pandas/NumPy; experience with batch/stream processing and ETL orchestration (e.g., Airflow, Step Functions)
• Strong English verbal and written communication

As a plus

• LLM ops and safety: eval frameworks (e.g., RAGAS), guardrails, red-teaming, prompt optimization at scale
• Model optimization: quantization, distillation, pruning; GPU/accelerator-aware serving
• Experience with AWS ML stack (SageMaker, Batch, Step Functions, Lambda, SQS/SNS, DynamoDB, ECS, EC2, S3)
• Vector databases and search: Pinecone, Elasticsearch, pgvector, FAISS, or DeepLake
• Background in reinforcement learning, agent frameworks, or autonomous agents
• Publications, open-source contributions, GitHub portfolio

What Shelf Offers

• B2B contract
• Company Stock Options
• Hardware: MacBook Pro
• Modern technical stack. Develop open-source software
• Premier AI development environment: GitHub Copilot, Claude Code, OpenAI, TypingMind, v0, MCP Servers, plus credits to experiment with emerging AI tools

Why Shelf

• Our Leadership Team has deep knowledge management and AI domain expertise and enterprise SaaS background to execute this plan
• We love our customers and our customers love us. Ask a Shelf customer why, and they’ll tell you it’s because of our innovative capabilities, rock-solid reliability, they truly enjoy working with our people, but most of all – it’s the improvements they see in their business KPIs.
• We have raised over $60 million in funding and our investors include Tiger Global, Insight Partners, Connecticut Innovations, and others
• We have high velocity growth powered by the most innovative product in our category, 3X growth for 3 years in a row
• We now have over 100 employees in multiple U.S. states and European countries, and we have ambitious hiring goals over the next few months

Our Values:

Quality - We’re united by our focus on world‑class Quality. Quality in all things – starting with everything that leaves your desk. Everything you touch – every email, report, campaign, and piece of code – should be outstanding. Your work product should blow people away. Having people look at what you’ve done and say, “Wow.” That’s the standard here. Remember that how you do anything is how you do everything. Focus on craftsmanship—your ability to make things better.

Momentum - for us means that you should know that the things you’re responsible for are moving forward. When you look around and see something that’s stalled, get it moving again. We pride ourselves on “ball movement.” When your boss or team leaves you with something, they should return to see measurable progress. Small, continuous movement is our recipe for success. Constantly look for how to make the work around you move forward. We want you to initiate solutions, ideas, and progress. Don’t wait for it to come to you—reach out and create movement. All the time.

Accountability - We expect every team member to feel that they are accountable for more than anyone might normally expect. Each of us should feel real responsibility for things even at the edge of our control. We consistently share and align on expectations, give each other open and respectful feedback, and use those two drivers to ensure that every agreement we make with one another is clear and complete.

Hard Work - We’re here to do something difficult together. We care intensely about the mission and we expect that from our teammates. That care means that we work hard here. Hard work comes with long hours, extra effort…and real opportunity at Shelf. Your passion for creating and sustaining output is a part of our DNA. Support each other, cheer each other on, drive the mission forward. Great teams sustain intense effort together to win.

Learning Agility - We’re innovating in one of the fastest‑moving spaces in history at a time of accelerating global change. That’s incredibly exciting and requires each of us to commit fully to learning each and every day so that we can be the best at what we do. None of us know everything. All of us can learn anything. Staying open and constantly curious is a key success driver at Shelf. It also requires humility. We prize people who are consistently humble and open to making mistakes and growing from them. Recognize also that learning itself is a skill…we need you to be really good at it. Keep dialing in your own understanding about how you learn best and push yourself to keep growing.

Adapt and Thrive - Overcoming challenges lives deep in our DNA. We have a proud history of understanding and living the reality that obstacles are our opportunities…they’re the key to our success. Change is a constant in our business and fighting change is counterproductive. We need you to be good at being uncomfortable and understand that discomfort is the key to growth. Cultivate your own ability to adapt and know that struggling well is something you’ll share with every team you’re on at Shelf. Our company stories are about thriving through real difficulty…together.

Win Together - We win or lose as a team. Always. Everything you do here is connected to the rest of the organization. Part of our shared team environment demands full honesty…real candor and directness with one another. We expect you to constantly be thinking about how to support your teammates and the company, always acting in service to our shared mission and what’s best for the organization as a whole.

This position follows the Company’s hybrid schedule which currently requires employees to work in the Krakow Office (Fabryczna Street) a minimum of three days per week.

The Basics

This Senior Helpdesk Engineer will work directly with a talented team of IT and security professionals. This role will also have the opportunity to learn new technologies, including Tanium’s product. 

The Senior Helpdesk Engineer is crucial to ensuring that IT and Tanium’s employees have the access and resources to complete their mission. The right candidate will enjoy working closely with our end-users, which includes developers, engineers, sales, and support staff. A successful candidate will also enjoy working for a company that is focused on quality and ensuring the long-term success of Tanium. 

What you'll do

• Serve as the escalation point for hardware, software, network, and system issues 
• Diagnose, troubleshoot, and resolve high-impact or ambiguous problems across endpoints, operating systems, identity and access, SaaS tools, and basic networking 
• Own tickets end-to-end, including root cause analysis, resolution, documentation, and follow-up communication against SLA 
• Lead incident response efforts, coordinating internal IT teams, security, and vendors as needed 
• Identify trends, recurring issues, and systemic gaps; proactively drive long-term fixes rather than short-term workarounds 
• Provide guidance to junior level Helpdesk Engineers through knowledge sharing, shadowing, and informal coaching 
• Review and contribute to helpdesk workflows, runbooks, and troubleshooting guides with a focus on improving tooling, processes and end user experience.  
• Support user provisioning, access management, and identity systems with a focus on security and compliance 
• Provide advanced troubleshooting and user support for conferencing platforms such as Zoom and Microsoft Teams, as well as other essential collaboration technologies supporting remote and hybrid work environments. 
• Administer the full lifecycle of IT hardware and software assets, including setup, deployment, inventory tracking, and recovery, ensuring all devices are configured, assigned, and documented for compliance and audit purposes. 
• Maintain the operational readiness of conference rooms and manage the setup and troubleshooting of equipment for meetings, webinars, and organizational events. 
• Actively contribute to assigned IT projects, supporting initiatives that enhance technological innovation, optimize service delivery, and advance organization's overall IT strategy. 

We’re looking for someone with

• Bachelor’s degree or equivalent experience 
• Minimum 3-5 years of relevant technical support experience 
• Proven problem-solving capabilities with expertise in supporting and troubleshooting both Windows and macOS environments, including common productivity and collaboration software. 
• Hands-on experience with user and group management in Microsoft 365 and Active Directory environments. 
• Familiarity with basic networking concepts such as DNS, DHCP, VPNs, and TCP/IP, with the ability to diagnose and resolve common connectivity and access issues. 
• Experience using ticketing systems (ServiceNow preferred) to document, track, and close support requests. 
• Exposure to cybersecurity fundamentals, including secure endpoint management, vulnerability management, and compliance standards. 
• Practical knowledge of endpoint protection and MDM solutions 
• Experience supporting remote users, SaaS-based productivity suites, and cloud identity management platforms. 
• Experience providing executive and VIP support.  

About Tanium 

On a mission. Together. 

At Tanium, we are stewards of a culture that emphasizes the importance of collaboration, respect, and diversity. In our pursuit of revolutionizing the way some of the largest enterprises and governments in the world solve their most difficult IT challenges, we are strengthened by our unique perspectives and by our collective actions.   

As a global organization with stakeholders around the world, it’s imperative that the diversity of our customers and communities is reflected internally in our team members. We strive to create a diverse and inclusive environment where everyone feels they have opportunities to succeed and grow because we know that only together can we do great things.  

Our commitment to excellence and innovation has earned us a place on the Forbes Cloud 100 list for ten consecutive years, and we continue to be recognized worldwide as a great place to work. 

Taking care of our team members 

Each of our team members has 5 days set aside as volunteer time off (VTO) to contribute to the communities they live in and give back to the causes they care about most.   

For more information on how Tanium processes your personal data, please see our Privacy Policy.

We are looking for Senior Backend Engineers (AI-Native) to join a high-velocity squad focused on our B2B and B2C warehouse management ecosystem.
The ideal candidate is an AI-Native Software Engineer who won’t just write code but orchestrate AI agents and assistants to accelerate the entire Software Development Life Cycle (SDLC), ensuring we deliver robust, scalable microservices at a pace traditional development cannot match.

Innovecs is an equal opportunity employer. All hiring decisions are based on professional qualifications, skills, and experience. We are committed to a transparent, merit-based recruitment process that prevents discrimination and ensures equal opportunities for all candidates. Reasonable accommodations are available upon request throughout the recruitment process to support accessibility and inclusion.

We are seeking an experienced and talented Senior Machine Learning Engineer

Innovecs is an equal opportunity employer. All hiring decisions are based on professional qualifications, skills, and experience. We are committed to a transparent, merit-based recruitment process that prevents discrimination and ensures equal opportunities for all candidates. Reasonable accommodations are available upon request throughout the recruitment process to support accessibility and inclusion.

We are seeking an experienced and talented Lead Machine Learning Engineer

Innovecs is an equal opportunity employer. All hiring decisions are based on professional qualifications, skills, and experience. We are committed to a transparent, merit-based recruitment process that prevents discrimination and ensures equal opportunities for all candidates. Reasonable accommodations are available upon request throughout the recruitment process to support accessibility and inclusion.

Join Innovecs Play on your way to adventures and professional growth in the ever-growing Game Development industry! We’re looking for a skilled Frontend Engineer who is eager and can translate bold game ideas into high-quality code structure. 

Every day we sharpen our skills in co-op quests, working side by side with proven leaders. We value teamwork, knowledge sharing, and curiosity that empower and motivate us to grow. 

Joining the team, you will be involved in various aspects of game development, starting from the very concept through release and beyond. You will virtuously manipulate 2D and 3D dimensions, blaze a trail of user experience, and will juggle different solutions to realize novel game design ideas. We offer you the opportunity to break barriers, obtain new and strengthen existing expertise!

Innovecs Play is a specialized iGaming development studio delivering end-to-end solutions for iGaming providers, casino game developers, aggregators, and sportsbook platforms. We develop custom slot games, casino platforms, and backend infrastructures that are scalable, resilient, and regulatory-compliant. 

With 300+ successful projects, 100+ global clients, and a team of 200+ experts, Innovecs Play delivers next-gen gaming solutions powered by data-driven insights, cloud scalability, and seamless API integrations. Backed by Innovecs’ engineering excellence, we provide iGaming businesses with the tools to enhance engagement, optimize performance, and expand into global markets. 

There are no limitations, no barriers when the right people are on your way — apply for the vacancy and succeed with us!

Innovecs is an equal opportunity employer. All hiring decisions are based on professional qualifications, skills, and experience. We are committed to a transparent, merit-based recruitment process that prevents discrimination and ensures equal opportunities for all candidates. Reasonable accommodations are available upon request throughout the recruitment process to support accessibility and inclusion.

There are no limitations, no barriers when the right people are on your way — apply for the vacancy and succeed with us!

Innovecs is an equal opportunity employer. All hiring decisions are based on professional qualifications, skills, and experience. We are committed to a transparent, merit-based recruitment process that prevents discrimination and ensures equal opportunities for all candidates. Reasonable accommodations are available upon request throughout the recruitment process to support accessibility and inclusion.

We are seeking an experienced and talented Senior .NET Engineer. 

The Senior Backend Engineer is responsible for designing and implementing high-performance, scalable backend systems for B2C, DTC, and B2B warehouse management applications. This role focuses on building robust microservices architectures, developing high-transactional systems, and leveraging cloud-native technologies to deliver exceptional performance and reliability. The Senior Backend Engineer will work with cutting-edge technologies while mentoring junior team members and contributing to architectural decisions.

Innovecs is an equal opportunity employer. All hiring decisions are based on professional qualifications, skills, and experience. We are committed to a transparent, merit-based recruitment process that prevents discrimination and ensures equal opportunities for all candidates. Reasonable accommodations are available upon request throughout the recruitment process to support accessibility and inclusion.

This position follows the Company’s hybrid schedule which currently requires employees to work in the Krakow Office (Fabryczna Street) a minimum of three days per week.

The Basics

This Lead Helpdesk Engineer will work directly with a talented team of IT and security professionals. This role will also have the opportunity to learn new technologies, including Tanium’s products. 

The Lead Helpdesk Engineer is crucial to ensuring that IT and Tanium’s employees have the access and resources to complete their mission. The right candidate will enjoy working closely with our end-users, while also helping to build out our local IT team in the region. A successful candidate will also enjoy working for a company that is focused on quality.  

What you'll do

• Serve as the escalation point for hardware, software, network, and system issues
• Troubleshoot across endpoints, operating systems, identity and access, SaaS tools, and basic networking
• Help build a local team of engineers focused on supporting and improving employee technology experiences globally.
• Own ticket triage standards, prioritization guidelines, and escalations paths
• Ensure consistent troubleshooting approaches and high-quality ticket resolution against SLA
• Maintain and improve day-to-day helpdesk workflows and queue health
• Maintain and create knowledge base articles, identify documentation gaps, and use documentation as a primary operational tool
• Provide technical guidance and coaching to helpdesk engineers
• Act as local hands and eyes for supporting local engineering environments with support from global peers.
• Partner with other leaders to identify automation opportunities, conduct tool evaluations, and strategize on operational improvements
• Communicate recurring issues, capacity constraints, and lead root cause analysis for any systemic issues
• Participate in operations and incident reviews as well as strategic planning 

We’re looking for someone with

• Minimum 5 years of relevant technical support experience, with at least 2 years as lead engineer
• Proven problem-solving capabilities with expertise in supporting and troubleshooting both Windows and macOS environments, including common productivity and collaboration software.
• Hands-on experience with user and group management in Microsoft 365 and Active Directory environments.
• Familiarity with basic networking concepts such as DNS, DHCP, VPNs, and TCP/IP, with the ability to diagnose and resolve common connectivity and access issues.
• Experience using ticketing systems (ServiceNow preferred) to document, track, and close support requests.
• Exposure to cybersecurity fundamentals, including secure endpoint management, vulnerability management, and compliance standards.
• Practical knowledge of endpoint protection and MDM solutions, Tanium preferred
• Experience supporting remote users, SaaS-based productivity suites, and cloud identity management platforms.
• Experience providing executive and VIP support.  

About Tanium 

On a mission. Together. 

At Tanium, we are stewards of a culture that emphasizes the importance of collaboration, respect, and diversity. In our pursuit of revolutionizing the way some of the largest enterprises and governments in the world solve their most difficult IT challenges, we are strengthened by our unique perspectives and by our collective actions.   

As a global organization with stakeholders around the world, it’s imperative that the diversity of our customers and communities is reflected internally in our team members. We strive to create a diverse and inclusive environment where everyone feels they have opportunities to succeed and grow because we know that only together can we do great things.  

Our commitment to excellence and innovation has earned us a place on the Forbes Cloud 100 list for ten consecutive years, and we continue to be recognized worldwide as a great place to work. 

Taking care of our team members 

Each of our team members has 5 days set aside as volunteer time off (VTO) to contribute to the communities they live in and give back to the causes they care about most.   

For more information on how Tanium processes your personal data, please see our Privacy Policy.

At JetBrains, we have a passion for building the strongest, most effective developer tools in the world. Our tools are designed to give developers the freedom to grow, discover, and create. Over eight million of the world's most dynamic developers speed up their workflows using our products, which help them stay focused on code design and the big picture, allowing them to deliver more creative and effective results.

The remote development functionality in JetBrains products redirects IDE-heavy processing from a local machine to a powerful remote server, reimagining how developers work. With hardware performance no longer a limitation, developers can work from anywhere while benefiting from improved security, stability, and reliability.

We're looking for a QA Automation Engineer to join the Remote Development team and help ensure that the products software engineers around the world rely on daily are of the highest quality.

You'll work alongside QA Engineers to design and implement automated testing scenarios that catch issues before they reach our users, cover regressions with automated tests, and improve automation processes within the team.

What you'll do

Core responsibilities

Test automation 

• Design, develop, and maintain automated tests (UI, E2E, functional, and integration) across multiple platforms and environments: Linux, Windows, macOS, Docker, and WSL.
• Expand test coverage for new and existing functionality.
• Monitor automated test execution results.
• Debug and troubleshoot test failures, distinguishing product issues (regressions) from infrastructure-related issues (including test, framework, or environment).
• Optimize test execution time and reliability.
• Improve test automation stability and contribute to automation frameworks.

Quality assurance 

• Report bugs in YouTrack and verify that they are properly fixed and backported. 
• Participate in release quality assessments.
• Collaborate with QA and developers on testability and quality improvements. 
• Help define test strategies and quality gates for your team.
• Support manual QA activities when needed.

Continuous improvement 

• Define and track quality metrics, including testing coverage, failure rate, and flakiness.
• Identify gaps in test coverage and propose solutions.
• Improve domain-specific test infrastructure and CI/CD pipelines within your team's scope.
• Share knowledge about automation best practices with other team members.
• Work with the tooling team to adopt new frameworks and practices.

What we're looking for

Required skills

Technical foundation

• Proven experience in test automation.
• Solid programming skills in Kotlin or Java and a good understanding of the JVM.
• Experience with test frameworks: JUnit or TestNG.
• Understanding of software testing principles and methodologies.
• Familiarity with CI/CD tools (TeamCity or similar).
• Experience with reporting tools (Allure or others).
• Version control experience (Git).

Quality mindset

• The ability to isolate root causes and distinguish product bugs from environment issues.
• Attention to detail while maintaining focus on overall quality goals.

Collaboration

• Excellent communication skills in English, both written and verbal.
• Experience working in cross-functional teams and collaborating with other teams.
• Comfort with giving and receiving constructive feedback.
• The ability to grasp new concepts quickly and to work both in a team and independently.

Nice to have

• Experience testing developer tools, IDEs, and desktop applications.
• Experience building automated testing infrastructure and processes.
• Experience in performance testing.
• Experience in manual testing.

Why join JetBrains?

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family.
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Relocation support. We help make your move as smooth and stress-free as possible.
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

#LI-DNI 

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.

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.