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Requirements:
7+ years of professional experience as a software engineer, building and maintaining production systems.
Demonstrated ability to lead the design and implementation of complex systems.
Proven experience designing and implementing classical algorithms (not AI/ML) and data structures in production environments.
Strong experience with database systems, both SQL and NoSQL, including schema design and performance considerations.
Ability to quickly learn new technologies and programming languages and apply them effectively to complex systems.
Strong proficiency in C++ and Python.
Experience with Rust - an advantage.
BSc in Computer Science or a related field, or equivalent practical experience.

Requirements:
9+ years of backend development experience
2+ years of hands-on NodeJs OR Python OR GO experience - or strong motivation to learn and use it in production- big advantage.
Experience with distributed, high-scale systems.
Proven experience designing and building high-scale, production systems
Deep understanding of backend architecture, distributed systems, and APIs
Strong problem-solving and debugging skills, including complex system behavior and production troubleshooting at scale
Experience working with databases (relational and/or NoSQL), including schema design and performance considerations
Solid knowledge of modern backend technologies and frameworks
Experience collaborating across teams in a large or multi-team environment
Strong communication skills and the ability to lead through influence
Nice to Have
Familiarity with containerization tools (Docker/Kubernetes)
Exposure to caching systems (e.g., Redis) or event-driven architectures
Prior experience leading a technical area or subsystem
Experience with Cursor
Education And/or Relevant Experience
BSc in Computer Science, Software Engineering, or a related technical field; or equivalent hands-on experience in software development
If your experience is close but doesnt fulfill all requirements, please apply. we are on a mission to build a special company comprised of individuals with different backgrounds, perspectives, and experiences.

Requirements:
3+ years of experience as a Product Manager in B2B SaaS, with a proven background as a Software Engineer / Developer prior to transitioning into product management.
Significant hands-on software development experience, ideally within cloud-native architectures, Kubernetes, microservices, or AI-driven solutions.
A data-driven mindset with the ability to approach challenges strategically and identify impactful solutions.
You know to operate independently, move quickly, and keep work organized.
Excellent verbal and written communication abilities, capable of translating complex technical concepts for various audiences, including non-technical stakeholders.
Proven ability to work effectively across diverse teams, managing multiple stakeholders and aligning priorities to drive product success.

Requirements:
Technical Skills
- 5+ years of hands-on DevOps experience with a strong software development background - prior development experience is a must
- B.Sc. in Computer Science or equivalent practical experience
- Strong programming skills in Python (or a similar high-level language); ability to write and own production tooling
- Proven experience designing and building scalable systems, automation frameworks, and infrastructure as code using Terraform and Helm
- Solid understanding of Linux, containers (Docker), and Git-based workflows
- Hands-on experience with CI/CD at scale using GitHub Actions or similar - including reusable actions, workflow design, and automation frameworks
- Deep experience with hybrid cloud infrastructure (AWS and on-prem), including EKS, ARC, Karpenter, ECR, S3, Direct Connect, VPC endpoints, IAM/OIDC, and Secrets Manager
- Experience operating spot and on-demand runner pools for builds, DinD tests, releases, and security scans across multiple AWS regions
- Experience with DinD environments (Sysbox, EBS/NVMe, memory limits, overlay storage, MTU/networking) and build caching (BuildKit, sccache, Valkey)
- Experience connecting on-prem/self-hosted runners and routing physical device (wbox) test jobs by site and device type
- Experience implementing DevSecOps controls and improving platform observability, cost efficiency, and reliability
- Platform & tooling familiarity: Kubernetes (EKS, on-prem) GitHub Actions ARC Karpenter Terraform Helm Docker/DinD Sysbox containerd BuildKit ECR S3 ElastiCache (Valkey) sccache Direct Connect VPC endpoints IAM/OIDC Secrets Manager self-hosted runners
Soft Skills
- Strong system-level thinking and troubleshooting skills; able to diagnose and resolve complex infrastructure issues independently
- Takes end-to-end ownership and drives problems to resolution without hand-holding
- Excellent communication and cross-team collaboration skills; comfortable working alongside large engineering organizations
Nice to Have / Advantage
- Experience with Jenkins
- Familiarity with GitHub merge queue
- Experience with MinIO or on-prem S3 caching
- Hardware-in-the-loop CI experience
- MTU/VPC networking tuning expertise
- Monorepo CI optimization experience.

Requirements:
Technical Skills
5+ years of DevOps / platform engineering experience in a product company.
Deep hands-on experience with Kubernetes and Helm, including shipping software onto clusters you don't control.
Production experience with GitOps (ArgoCD/Flux), infrastructure as code, and zero-downtime release engineering.
Experience running stateful workloads on Kubernetes via operators (Kafka, PostgreSQL, Elasticsearch).
Solid grasp of observability fundamentals: Prometheus, Grafana, OpenTelemetry.
Comfortable operating in air-gapped environments without managed cloud services.
Soft Skills
Strong cross-functional collaboration - works daily with AI/ML Ops, backend, research, and solutions teams on customer onboarding.
Comfortable owning production reliability and on-call responsibilities.
Nice to Have / Advantage
Experience with OpenShift, KEDA, and Temporal.
Hands-on AI inference infrastructure experience: deploying and operating LLM inference on Kubernetes with GPUs (vLLM, TGI, Triton, or similar).
GPU scheduling and node readiness, model packaging for offline delivery.
Experience with LLM gateways (LiteLLM) and LLM observability (Langfuse).

Requirements:
10+ years of experience building modern, production-grade frontend applications.
5+ years of hands-on experience building large-scale applications with React in production.
Deep expertise in JavaScript and TypeScript, including async patterns, event loop, memory management, and advanced type modeling.
Strong understanding of React architecture and modern patterns (hooks, context, suspense, concurrent features, composition patterns).
Proven experience designing and implementing scalable frontend architectures.
Experience managing complex client-side state (Redux, Zustand, or similar).
Experience building complex, dynamic UIs with intricate workflows and advanced interaction patterns.
Hands-on experience integrating real-time data streams (WebSockets / SSE).
Strong knowledge of performance optimization techniques (code splitting, memoization, virtualization, lazy loading).
Experience writing comprehensive unit and E2E tests (Jest, Playwright or similar).
Strong CSS/SCSS knowledge, including layout systems and responsive design.
Experience working in cross-functional Agile teams with strong communication skills.
Nice to Have
Experience building graph-based or visualization-heavy interfaces (e.g., React Flow, D3, Cytoscape).
Experience building or contributing to shared component libraries or design systems.
Experience working in distributed or cloud-native environments.
Prior ownership of a technical domain or subsystem.
Experience with monorepos (Nx / Turborepo).
Familiarity with containerized development environments (Docker/Kubernetes).
Education
BSc in Computer Science, Software Engineering, or a related field - or equivalent hands-on experience.

Requirements:
Required
Bachelor's degree in Engineering, Telecommunications, Business, or a related field.
Up to 2 years of experience in a technical, commercial, sales engineering, proposal management, or customer-facing role.
Interest in networking technologies, including IP, Optical, or Software solutions.
Strong analytical skills with the ability to work with data, pricing, and business information.
Strong attention to detail and ability to manage multiple tasks simultaneously.
Excellent communication and collaboration skills.
Ability to work effectively in a fast-paced, global, cross-functional environment.
Proficiency in Microsoft Office applications, particularly Excel, PowerPoint, and Word.

Preferred
Experience in the telecommunications or networking industry.
Experience working in technical sales, solutions engineering, proposal support, or commercial operations.
Familiarity with Salesforce or other CRM systems.
Exposure to pricing analysis, business case development, or project coordination.

Requirements:
5+ years of hands-on experience designing and operating enterprise or datacenter networks.
Strong expertise in routing and switching technologies.
Experience with network security technologies including firewalls, VPNs, IDS/IPS, and network segmentation.
Hands-on experience with BGP, OSPF, VLANs, VRFs, and modern networking concepts.
Experience with VXLAN, EVPN, MPLS, or similar overlay technologies - an advantage.
Experience with network automation and scripting (Python, Golang, Shell, or similar).
Strong troubleshooting and problem-solving skills.
Excellent communication and collaboration abilities.
Preferred Experience
Fortinet, Cisco, Palo Alto, Arista, Juniper, or F5 technologies.
Datacenter and cloud-scale environments.
Kubernetes and container networking.
Infrastructure-as-Code and automation frameworks.
Network Access Control (NAC) and Zero Trust architectures.

Requirements:
10+ years in B2B SaaS marketing, with direct ownership of both product marketing and brand. Exposure to both is not the same thing.
Proven track record building messaging from scratch - frameworks that held up when they hit Sales, Product, and the market simultaneously.
Experience leading and growing diverse marketing teams. Your reports develop under you. That's a pattern, not a coincidence.
A track record in cross-functional GTM: launches, repositioning exercises, or category-defining moments you can walk through in detail.
AI-native mindset. Not someone who has just tried the tools, but someone who has thought through what AI means for how a content team should be structured, what the inputs need to look like, and how to keep quality high at volume.
Comfortable at the strategic layer when the picture is still forming. Precise and execution-focused when it's time to ship.
Empathic by default, but not soft. You lead by creating clarity - for your team, for your peers, for the exec team.
A robust sense of humor:)

Requirements:
7+ years in software quality / QA engineering, including leading a team, ideally owning quality for a SaaS product at scale.
Deep hands-on experience with test automation, CI/CD, and quality gates;
comfort with code-quality tooling (SonarQube/SonarCloud or similar).
Strong production monitoring / observability background (Datadog or
equivalent) and SRE-adjacent practices; monitoring-as-code a plus.
Fluency with engineering metrics - DORA, change-fail / rework rate, defect
escape - and using them to drive decisions.
Comfortable with AI-assisted / agentic development and evaluating LLM/agent
output (evals) - or a strong, demonstrated eagerness to go deep here.
A player-coach: credible hands-on and able to build and grow a team.
Able to hold an independent line and manage stakeholders across Engineering
and Product.
Professional English; based in (or able to work from) our Ukraine delivery center.

Requirements:
Must:
BSc in Computer Science or related degree, or equivalent practical experience.
5+ years of working as a Software Engineer.
Experience with the following coding languages: C++/ C - Must
Fast and self-learner of new technologies and coding languages
Advantage
Experience working in Linux environment
Rust, Python
Experience with developing software infrastructures
Experience with computer networking software
Experience with high scale & performance optimizations.

Requirements:
Networking & Infrastructure
6+ years designing large-scale Service Provider or hyperscale IP/MPLS networks
Strong understanding of:
BGP
ISIS
RSVP-TE
EVPN/VXLAN
Segment Routing
QoS architectures
Deep familiarity with distributed routing systems and disaggregated architectures
Automation & Cloud-Native
4+ years in network automation and orchestration
Strong knowledge of:
NetConf/YANG
gNMI
REST/gRPC
OpenConfig
Hands-on Kubernetes architecture experience
Strong understanding of:
Docker
Helm
Service meshes
Microservices
Event-driven systems
Observability & Reliability- Experience with:
Prometheus
Grafana
OpenTelemetry
Kafka
Pulsar
RabbitMQ
Strong SRE mindset:
HA
Scalability
Failure domains
Reliability engineering
Operational resiliency
Ideal Candidate Profile
The ideal candidate combines:
Deep networking expertise
Cloud-native software architecture
Automation-first thinking
Operational scalability mindset
Strong customer-facing communication
Ability to translate hyperscale operational requirements into reusable platform capabilities.