About the Client

Our client is a neocloud building purpose-built GPU infrastructure for AI workloads. We operate large-scale clusters powering training and inference for some of the most demanding AI customers in the market, and we're rapidly expanding. Our infrastructure runs on NVIDIA and AMD accelerators, InfiniBand and high-speed Ethernet fabrics, and a production stack spanning bare-metal provisioning, Kubernetes, and OpenStack.

We're small, senior, and moving fast. The people who do well here own problems end-to-end and make decisions with incomplete information.
 

The role

We're hiring a Senior Manager, Platform Engineering to lead the team that keeps our GPU

clusters running and evolving. You'll own the operational heartbeat of Company's cloud platform, the people, the systems, and the practices that turn racks of GPUs into reliable customer-facing infrastructure.

This is a hands-on leadership role. You'll start roughly 50/50 between technical work and management as you ramp up, earn context, and build trust with the team, and scale toward 80/20 management over your first 12 months as the team grows and your direct reports take on more. We're not looking for a manager who has forgotten how to read a stack trace, and we're not looking for a senior IC with a team tacked on. We're looking for someone who leads by setting technical direction, raising the bar on operational rigor, and growing engineers, and who can still jump into an incident bridge and be useful.
 

What you'll own

• A team of ~9 engineers spanning production engineering, SRE, security, and

automation.

• The reliability, performance, and operability of Client's GPU cloud platform across

multiple clusters and customers

• Incident response and post-incident culture, you'll set the standard for how we

investigate, communicate, and learn from outages

• Operational readiness for new clusters and data center buildouts, in close partnership

with our DC Build, Networking, and Program Management functions

• Platform automation and infrastructure-as-code maturity, reducing toil, codifying tribal

knowledge, and making our environment legible to both engineers and AI tooling

• Hiring, coaching, and career development for the team, including an anticipated split of the team into specialized functions as we scale
   

What we're looking for

Required

• 8+ years of infrastructure, production engineering, or SRE experience, including 3+

years managing or tech-leading engineers

• Deep hands-on experience with Linux production systems at scale, you've debugged

kernel, networking, and storage issues in anger, not just read about them

• Strong Kubernetes operational experience, you understand what breaks in Kubernetes

at scale and why, not just how to write a deployment manifest

• Experience running cloud or cloud-adjacent platforms in production, IaaS, bare-metal, or hybrid, with real customers depending on uptime
• Fluency with modern automation and IaC tooling (Ansible, Terraform, or equivalent) and a bias toward codifying operational knowledge rather than keeping it in people's heads
• Track record of building and running on-call, incident response, and post-mortem

practices that engineers actually trust

• Clear, direct written communication, much of our team and work is async
  
   

Strongly preferred

• Experience operating GPU or HPC infrastructure, or a strong appetite to go deep on it

quickly

• OpenStack, or bare-metal provisioning experience
• Experience working alongside networking and security engineers as peers, not as tickets to file
• Familiarity with observability stacks (Prometheus, Grafana, Checkmk, or similar) and a

point of view on what good monitoring looks like

• Experience scaling a team through rapid growth, splitting functions, hiring against a plan, and evolving reporting structures without breaking trust
   

How we work

• We're remote-first across US, LATAM, and EU time zones
• We write things down, decisions, architecture, runbooks, post-mortems
• We use AI tooling heavily in day-to-day operations and expect everyone on the team to be fluent with it and to help us get more leverage from it
• We ship, we debug, we iterate. We don't process-engineer our way around problems that need to be solved
   

AI as a force multiplier

We're making a deliberate bet that AI changes the shape of infrastructure teams. Our plan is to scale our platform faster than we scale headcount, using AI-powered development tools to build and refactor automation, AI-assisted testing and validation to improve reliability, and LLM-driven workflows to accelerate investigation, documentation, and operational review.

We're already applying these approaches in production and actively working to turn institutional knowledge into AI-accessible systems that improve operational efficiency and decision-making.
We want a leader who is genuinely excited about this, not someone who tolerates AI tooling because it's in the JD, but someone who will drive it. That means:

• Setting the expectation on the team that AI-assisted workflows are the default, not the exception
• Identifying where agents can own meaningful slices of work, writing playbooks,

generating tests, validating configurations, triaging alerts, drafting RCAs

• Building the substrate the team needs: good documentation, clear schemas, MCP

integrations, and the kind of structured knowledge that makes AI actually useful rather

than a gimmick

• Measuring what's working, killing what isn't, and being honest with the team and with

leadership about both

If your reaction to this is "finally, a team that's serious about this," we should talk.
 

What success looks like

First 30 days: You've built 1:1 relationships with every member of the team, shadowed enough incidents and customer escalations to have a real picture of where we are, and identified the two or three operational patterns most worth changing.

First 90 days: You're the owner of our incident and post-mortem practice. You've onboarded two new senior hires (SRE and Security Engineer) and set clear expectations for their first deliverables. You've made at least one meaningful call on platform architecture or operational tooling that the team agrees was the right one.

First 12 months: The team is measurably more effective, fewer repeat incidents, faster time to resolution, more work automated away. You've hired at least one additional engineer, coached at least one existing team member into a stretch role, and established Platform Engineering as a function that other teams at Company want to work with.

About the Client

Our client is a neocloud building purpose-built GPU infrastructure for AI workloads. We operate large-scale clusters powering training and inference for some of the most demanding AI customers in the market, and we’re rapidly expanding. Our infrastructure runs on NVIDIA and AMD accelerators, InfiniBand and high-speed Ethernet fabrics, and a production stack spanning bare-metal provisioning, Kubernetes, and OpenStack.

We’re small, senior, and moving fast. The people who do well here own problems end-to-end and make decisions with incomplete information.
 

The role

Security is a core part of who we are and how we operate. We’re hiring a Senior Production Security Engineer to help strengthen and scale our security capabilities.

This is not a compliance-focused role, and it is not purely advisory. We are looking for a hands-on senior engineer who can identify high-risk gaps and opportunities, partner with engineering and leadership teams to design effective solutions, and implement those solutions through code, automation, and tooling. In addition to security-focused initiatives, this person will contribute meaningfully to broader infrastructure, platform, and production engineering efforts.
Beyond the technical responsibilities, this role plays a key part in fostering a security-first engineering culture. You will advocate for best practices, educate teams, and help raise the security bar across the organization. This is an opportunity to shape the future of our security function and become a foundational leader as it continues to grow.
 

What this role is, and is not

This role is:

• A senior engineer who drives the core of a security focus.
• A self-directed practitioner who identifies security weaknesses, opportunities to level up, prioritizes them, and builds a credible roadmap.
• A cross-functional partner who works with infrastructure, platform, cloud, and leadership to recommend action and architect solutions.
• A builder who implements solutions in software, tooling, and infrastructure, not just slides and policies.
• A reviewer and advisor who partners with developers and teams on proposed projects from a security perspective.
• A versatile contributor who still gets meaningful work done in other engineering domains.

This role is not:

• A regulatory or legal compliance role. Compliance evidence will be a byproduct of good engineering, not the job itself.
• An audit-and-recommend-only role. We need someone who builds what they recommend.
   

What you’ll work on

The scope below outlines where this role will harden, automate, and validate Client’s security posture across our infrastructure, platform and customer facing surfaces.  We expect the person in this role to refine priorities based on what they learn in their first weeks.
 

Internal tools, services, and applications that harden our security posture

• Proper network segmentation best practices across tenants, management, and customer planes.
• SSH and system access management architecture
• Multi-tier secret storage for both internal users and customers.
• User account management and lifecycle policy for core systems (joiners, movers, leavers done right).
• Secret rotation pathways for core internal systems, automated, auditable, and not reliant on tribal memory.
• x509 certificate issuing architecture, an internal PKI we can actually operate and rotate.
   

Security-focused monitoring, alerting, and auditing

• Multi-redundancy Vault admin logging.
• GCP access and action logging with real retention and alerting.
• Automatic alerting and reporting from log aggregation pipelines.
• Network traffic analysis and reporting, feeding off our existing fabric telemetry.
• Security-focused dashboards that are actually used, not just built.
   

Customer-facing secret and identity management

As our cloud offering matures, this role helps define the customer-side story:

• KMS architecture and options.
• Encryption strategy, at rest, in transit, and tenant-scoped.
• Security reporting surfaces for customers.
• Customer login, identity, and account management for the cloud platform.
   

Review of what we already have

• Own and drive third-party penetration tests and red team engagements.
• Lead a full design and architecture review of our current stack and document the risk landscape.
• Translate findings into a prioritized, resourced remediation plan.
   

Clear policies and partnerships around third-party code

• Own the liability model, or make the deliberate decision to pay someone else to.
• Processes and tooling for third-party software review, and dependency risk.
• A “happy path” for engineers, the easy, supported way to pull in third-party code safely.
   

What we’re looking for

Required

• 7+ years of hands-on engineering experience, with a substantial portion focused on security in production environments.
• Demonstrated experience designing and operating in multi-tenant, tenant-isolated environments, cloud, neocloud, hosting, or regulated enterprise.
• Deep, practical familiarity with secrets management (HashiCorp Vault or equivalent), PKI, and identity systems (Okta, Google Workspace, or similar).
• Strong Linux and OS fundamentals, you understand what is actually happening on the box, not just what the tool reports.
• Working fluency in networking and network security: firewalls, segmentation, VPN, BGP at a conceptual level, and modern L3/L4 controls.
• Experience with at least one of: Kubernetes security (admission control, network policy, workload identity), cloud IAM at depth (GCP, AWS, or Azure), or infrastructure-as-code security review.
• CI/CD automation design and implementation experience, enough to build the paved road yourself when needed.
• Experience driving or responding to a third-party audit, penetration test, or customer-led security review.

• Clear, direct written communication, much of our team and work is async.

   

Strongly preferred

• Experience being the first or one of the first dedicated security hires at a company, and building a function from there.
• Experience in GPU cluster, HPC, or AI infrastructure environments.
• Familiarity with InfiniBand, RoCE, or other high-performance fabrics from a security and segmentation perspective.
• Experience with SOC 2, ISO 27001, HIPAA, or similar frameworks, enough to know what auditors actually care about, without being a compliance specialist.
• Experience supporting sensitive customer workloads (regulated industries, government, frontier AI labs).

How we work

• We’re remote-first across US, LATAM, and EU time zones.
• We write things down, decisions, architecture, runbooks, post-mortems, threat models.
• We use AI tooling heavily in day-to-day operations and expect everyone on the team to be fluent with it and to help us get more leverage from it.
• We ship, we debug, we iterate. We don’t process-engineer our way around problems that need to be solved.

AI as a force multiplier

We’re making a deliberate bet that AI changes the shape of infrastructure and security teams. Our plan is to scale Client's platform faster than we scale headcount, using coding agents to write and refactor automation, AI-assisted testing and validation to harden our changes, and LLM-driven tooling to compress the work of investigation, documentation, and operational review. We’re already doing this in production: Claude Code for SRE operations, MCP servers exposing Jira, NetBox, and Checkmk, and an active effort to turn tribal infrastructure knowledge into AI-consumable formats.

For security specifically, we want someone who is excited about this, not someone who tolerates AI tooling because it’s in the JD. That means:

• Using AI-assisted workflows as the default for tasks like log review, config audit, threat modeling support, and policy drafting.
• Identifying where agents can own meaningful slices of security work, triaging alerts, drafting RCAs, generating and validating hardening configurations, reviewing pull requests for security-relevant changes.
• Building the substrate the team needs to make AI actually useful, good documentation, clear schemas, MCP integrations, and structured knowledge about our environment.
• Being honest about where AI is adding value and where it isn’t, with the team and with leadership.

If your reaction to this is “finally, a team that’s serious about this,” we should talk.

What success looks like

First 30 days: You’ve built working relationships with the infrastructure, platform, network, and cloud teams, shadowed enough of our production environment to understand where real risk sits, and produced a draft of our top security issues ranked by impact and effort.

First 90 days: You own a credible, prioritized security risk register that leadership and engineering actually use in planning. You’ve made at least one meaningful architectural call, on access, secrets, or identity, that the team agrees was the right one. Shared admin-scoped SSH keys and shared or weak passwords on critical systems have a concrete plan and timeline to be eliminated.

First 12 months: A functioning internal PKI and secret rotation story is in place for core systems. Security-relevant logging, alerting, and dashboards cover our highest-value systems with an on-call path that works. A third-party penetration test has been executed and findings have a remediation plan with owners and dates. Engineering teams have a clear, low-friction path for third-party code and for new service design reviews. You and leadership have a shared point of view on what the next hire into the security function looks like, and whether this becomes a team, a CSO search, or both.

Benefits:

• Unlimited Paid Time Off (PTO)
• Zero-cost employer-covered health insurance
• Company-funded 401k contributions
• Transparent, candid culture with 1:1 coaching, performance reviews, and a consistent feedback loop
• Diverse, respectful, high-performing coworkers you’ll want to achieve greatness with!  

Description

About the Client

Our client is a neocloud purpose-built for AI workloads. We design, deploy, and operate GPU clusters at scale, bare-metal compute, high-performance networking (NVLink, InfiniBand, RoCE), and the software platforms that make them usable for training and inference customers. We move fast, we own our infrastructure end-to-end, and we are building the operational foundation for the next generation of AI compute.

The Role

We are hiring a Principal Production Operations Engineer to serve as part of the senior technical backbone of how we run production. This is a generalist role. You will operate horizontally across systems administration, DevOps, SRE, automation, platform engineering, and vertically from hands-on incident command to multi-quarter architectural strategy and execution.

This is not a people-manager role. It is a senior individual contributor role with org-wide technical influence. You will help set the standards that the rest of the operations org follows, lead the hardest incidents, design the automation and platform investments that determine how we scale, and raise the bar for every engineer around you. We expect you to have already done this work somewhere else, owned production at scale, survived the outages, built the systems that prevented the next ones, and mentored the engineers who now run them.

You will work alongside our network architects, platform engineers, and datacenter delivery team. You will be expected to have strong opinions, defend them with data, and change your mind when the evidence says you should.

What you'll own

Production infrastructure and reliability

• End-to-end ownership of reliability, performance, and operational health across the company's production infrastructure, bare-metal GPU clusters, OpenStack, Kubernetes, storage, and the networking and security layers underneath.
• Technical leadership during major incidents: incident command, root cause analysis, and the durable fixes that ensure the same class of failure does not recur.
• Architectural decisions for how we scale compute, storage, and networking across

multiple datacenters and cluster generations.

• Lifecycle workflows for bare-metal provisioning, node onboarding, decommissioning,

firmware management, and fleet-wide remediation.

• Capacity planning, performance engineering, and the operational readiness reviews that gate new clusters into production.
   

Automation and platform engineering

• Set the bar for infrastructure-as-code, configuration management, and operational

tooling across the org. Define the patterns; do not just follow them.

• Design and build the automation that eliminates classes of toil, deployment, scaling,

failover, provisioning, firmware, observability, security posture.

• Own the CI/CD, GitOps, and release engineering primitives that production runs on. Make them boring, reliable, and self-service.
• Choose the right tools and frameworks (Terraform, Ansible, Helm, Python, Go, Bash) for the problem in front of us, and know when to build versus buy versus avoid.
• Drive the AI-assisted operations strategy, agentic runbooks, MCP-integrated tooling, and the workflows that let a small team operate a very large fleet.
   

Observability and operational discipline

• Evolve the observability stack (OpenTelemetry, Prometheus, Grafana, Alertmanager,

Loki, Checkmk) into a platform engineers trust.

• Define what good looks like for instrumentation, SLOs, alerting, and on-call hygiene.

Drive the org toward signal over noise.

• Lead post-incident reviews. Translate findings into concrete engineering work, not action items that die in a doc.
• Participate in the on-call rotation.
   

Technical leadership and force multiplication

• Mentor senior and mid-level engineers. Raise the technical ceiling of the team without

becoming the bottleneck.

• Write the design docs, the runbooks, and the standards that the rest of the org builds on.
• Prioritize engineering effort against real operational risk. Say no to the work that does

not matter; say yes loudly to the work that does.

• Partner with the leadership on org-level technical strategy.
• Represent operations in customer-facing technical conversations when the situation calls for it.
   

What we're looking for

Required

• 10+ years in Operations, DevOps, SRE, Production Engineering, or Infrastructure

Engineering, with significant time at the senior or staff level.

• Deep Linux internals knowledge.
• Proven track record owning production systems end-to-end at scale, not just

participating in operations, but defining how operations work.

• Strong programming and automation skills in at least one of Python, Go, or similar. Bash fluency is assumed.
• Hands-on expertise with Terraform, Ansible, or equivalent configuration management at scale.
• Hands-on expertise with modern observability stacks (Prometheus, Grafana, Loki,

OpenTelemetry) instrumentation, SLO definition, alert design, and reducing alert fatigue.

• Networking depth well beyond fundamentals: routing, NAT, conntrack behavior, load

balancing, DNS, TLS, and the ability to troubleshoot when needed.

• Experience leading incident response and post-incident review for high-severity

production events.

• Track record of mentoring engineers and elevating the technical standards of a team or org.
• Comfortable working in ambiguity. You build a structure where there is none and do not

wait to be told what to do.
 

Strongly preferred

• Production OpenStack experience, particularly Ironic, Nova, Neutron, and the

operational realities of bare-metal provisioning at scale.

• Kubernetes at scale, including GPU-aware workloads, operators, and the failure modes of CNI, CSI, and the control plane.
• GPU compute or AI infrastructure experience, NVIDIA driver and Fabric Manager

troubleshooting, NCCL, InfiniBand or NVLink fabrics, CUDA version management across

fleets.

• Hardware-aware operations: firmware management, BMC/Redfish automation, BIOS

configuration at fleet scale, and the operational discipline that goes with bare metal.

• Startup or scale-up experience. You know what it feels like to build the second version of everything because the first one was duct tape.
• Experience integrating AI-assisted tooling (Claude Code, agentic workflows, MCP

servers) into production operations.
 

How we work

• We are remote-first. We rely on written communication, async-by-default decision

making, and high-bandwidth pairing when it matters.

• We own our infrastructure. We do not hand off problems to vendors and wait. We

diagnose, we fix, and we write down what we learned.

• We use AI as a force multiplier, not as a replacement for engineering judgment, and not

as a novelty. We expect every engineer to be fluent with it.

• We participate in a 24/7 on-call rotation. Principal engineers are also an escalation point when the rest of the rotation needs help.
  
   

AI as a Force Multiplier

Operations is built on the assumption that a small, senior team augmented with AI can outperform a much larger traditional ops org. We expect you to use Claude Code, MCP-integrated tooling, and agentic workflows as core parts of how you investigate, automate, and document. If you have not used these tools in production yet, you should be hungry to. If you have, you should be ready to help define how the rest of the team uses them.

What success looks like

First 30 days

• Onboarded into all production systems, and the active incident backlog. You know where the bodies are buried.
• Shadowed an incident, and contributed at least one durable fix to a recurring operational issue.
• Identified the top three operational risks you would prioritize in the next quarter and started building consensus on them.

First 90 days

• Owning at least one major reliability or automation initiative end-to-end, with measurable impact (toil reduction, MTTR improvement, or reliability gain).
• Driving meaningful improvements to incident response, observability, or platform tooling that the rest of the org has adopted.
• Actively mentoring at least one mid-level or senior engineer.

First 12 months

• Recognized across the company as a technical authority on production operations. Architecture decisions of any significance include you.
• Shipped at least one platform-level investment (automation, observability, or lifecycle) that has materially changed how we operate.
• Raised the operational maturity of the org by a visible step, measured in incident frequency, MTTR, toil, and engineer quality of life.
• Influenced the hiring bar and the technical direction of operations beyond your own scope of work

Data Science UA is a service company with deep expertise in AI and Data Science. Our story started in 2016 with the first Data Science UA Conference in Kyiv, and since then, we’ve built one of the largest AI communities in Europe.

About the client:
Our client is a global Solution Integrator specializing in enterprise-grade infrastructure, platform engineering, and cloud-native architectures. They partner with the world's leading technology vendors to help organizations design and implement transformative solutions that drive innovation, efficiency, and growth. 
 

Office location: Vilnius (hybrid format, office visit 1-2 times a week)

About the role: 
We are looking for a Full Stack Engineer to join the CTO Office and take ownership of our client’s product development lifecycle. You'll work hand-in-hand with the CTO Office team, taking initiatives that have been validated as POCs and leading them into production-grade, scalable solutions.

Responsibilities:
- Take validated POCs from the CTO Office and architect, build, and ship them as production-ready applications
- Design and develop full-stack solutions — modern frontends paired with robust, scalable backends
- Build and deploy within the AWS ecosystem (Lambda, ECS/EKS, DynamoDB, S3, RDS, API Gateway, CDK/CloudFormation, and more)
- Own the CI/CD pipeline — design, build, and maintain automated workflows using GitHub Actions
- Design and build internal agentic AI solutions using LangChain and LangGraph — from multi-step agent orchestration to RAG pipelines and tool-augmented workflows
- Leverage Agentic IDE tools (Cursor, Claude Code, and similar) as a core part of your development workflow, applying best practices around skills, MCPs, agents, and prompt engineering to accelerate delivery
- Collaborate closely with the CTO Office, product stakeholders, sales, and pre-sales teams to translate business needs into elegant technical solutions 
- Make pragmatic technology decisions that balance speed, quality, and maintainability

Requirements:
Must-Have:
- 5+ years of professional full-stack development experience
- Frontend: Strong proficiency with Vue.js or React (with modern tooling such as Nuxt/Next.js, TypeScript, Vite, Tailwind CSS)
- A builder's mindset — you thrive on taking something from prototype to production
- Understanding of system design principles — you can architect scalable, reliable distributed systems and make sound trade-offs
- Grasp of data structures and design patterns — to work alongside your Agentic IDE you write efficient, well-structured code
- Backend: Solid experience with Python and modern frameworks — primarily FastAPI, or Django/Flask
- Hands-on experience with the AWS cloud ecosystem — you've built and deployed real workloads on AWS
- Hands-on experience building agentic AI systems with LangChain and LangGraph — including multi-agent orchestration, tool use, and RAG patterns
- Proven experience designing and maintaining CI/CD pipelines with GitHub Actions including automated PR based Code Reviews.
- Working knowledge of Agentic IDEs and AI-assisted development (Cursor, Claude Code, Windsurf, or similar) — including familiarity with skills, MCP servers, agents, and AI-driven development best practices
- Strong understanding of RESTful API design, relational and NoSQL databases, and cloud-native architecture patterns

Nice-to-Have:
- Experience with Amazon Bedrock and/or Azure AI Foundry for building and deploying AI/ML solutions on managed cloud platforms
- Experience with Infrastructure as Code (AWS CDK, Terraform, CloudFormation)
- Experience in security infrastructure (IDP, authentication protocols - S) and writing secured applications 
- Security & Identity - understanding of application security, including SSL/TLS certificates, secret management, and identity providers (IDP). Experience implementing authentication and authorization protocols such as SAML, OAuth2, and JWT.
- Foundational SRE knowledge, including monitoring, logging, and observability (e.g., CloudWatch, Prometheus, ELK) to ensure production stability and performance.
- Familiarity with FinOps concepts, cloud cost management, or multi-cloud environments
- Experience building data-driven tools — predictive models, analytics dashboards, or recommendation engines
- Exposure to Azure services alongside AWS
- Experience with containerization and orchestration (Docker, Kubernetes)
- Background in B2B SaaS or enterprise software development

• Build and optimize automated email flows for onboarding, activation, retention, reactivation, and transactional communication
• Own email deliverability across domains, senders, and campaigns, including inbox placement, sender reputation, bounce rates, spam complaints, and blacklist risks
• Identify key user actions and design trigger-based journeys that send the right message at the right moment
• Segment users by behavior, lifecycle stage, engagement, and business value to improve relevance and performance
• Create and manage email content, structure, logic, and testing inside email automation tools
• Analyze email performance daily and use data to improve open rates, CTR, conversions, retention, and revenue impact
• Work closely with product, engineering, and business teams to connect email automation with user behavior, product events, and company goals

• 3+ years of experience in email marketing, lifecycle marketing, automation, or deliverability
• Strong hands-on experience building trigger-based and automated email campaigns
• Deep understanding of email deliverability fundamentals, including sender reputation, SPF, DKIM, DMARC, domain health, bounce rates, and spam complaints
• Experience with ESPs and automation platforms such as SendPulse, Klaviyo, Mailchimp, HubSpot, Customer.io, ActiveCampaign, or similar tools
• Ability to read email performance metrics and turn insights into clear improvements
• Experience with user segmentation based on behavior, lifecycle stage, and engagement
• Strong ownership mindset and the ability to work independently in a fast-moving environment
• English level B2/C1 or higher, with the ability to write, edit, and collaborate in English day to day

• Experience in SaaS, B2B, marketplace, real estate, or startup environments
• Experience managing large contact databases and multi-segment communication strategies
• Familiarity with chatbot flows, SMS, or multi-channel automation
• Technical experience with email infrastructure, domain setup, warm-up strategies, and deliverability tools
• Experience improving deliverability after reputation, spam placement, or performance issues

• You’ll work at the core of a product-led, AI-powered startup where data drives every decision
• Your work will ship fast and impact thousands of users
• High autonomy, low bureaucracy: we trust you to own your domain
• Remote-first culture with flexible hours and async-friendly communication
• Salary (fixed base) ABOVE the market average
• A smart, passionate team that moves fast, supports each other, and builds cool stuff
• 15 paid vacation days plus 5 paid sick days annually
• Paid access to courses, books, and growth resources
• Real decision-making power and ownership of your results

• Own product discovery for a lead marketplace used by US real estate investors, including user interviews, funnel analysis, and opportunity sizing
• Identify the biggest product and funnel bottlenecks using data, user feedback, and business context
• Turn insights into clear one-page briefs with hypotheses, value sizing, success metrics, and expected impact
• Collaborate daily with the Product Owner and engineering team to translate validated problems into focused product work
• Partner with sales, support, and founders to understand user pain points, market signals, and revenue opportunities
• Track product outcomes after launch and connect shipped work to metrics like conversion, retention, LTV, CAC, or revenue
• Use AI and analytics tools to speed up research, analysis, decision-making, and product communication

• 4+ years of product management experience in B2B SaaS, marketplace, or another data-driven digital product
• Strong track record of moving business or product metrics, not just shipping features
• Regular hands-on experience with user research, especially talking directly to customers and turning conversations into product decisions
• Confident with analytics tools and able to work with data independently, including writing SQL or building your own analysis when needed
• Strong product thinking around funnels, user behavior, monetization, retention, and business impact
• Comfortable working with ambiguity, setting direction, and deciding what to improve without waiting for a detailed roadmap
• English C1+ for daily communication with fast-speaking US users, user interviews, written briefs, and cross-functional work
• Based in or able to work with UTC+0 to UTC+3 overlap, with regular late-afternoon or evening overlap for calls with US users

• Experience with two-sided marketplaces, lead-gen, proptech, fintech, or real estate products
• Experience working with US customers or US-based sales and support teams
• Experience in a product-led startup where speed, ownership, and measurable outcomes mattered
• Ukrainian language skills for smoother internal team communication
• Experience using AI tools as part of real product workflows, not only for writing or basic tasks

• You’ll work at the core of a product-led, AI-powered startup where data drives every decision
• Your work will ship fast and impact thousands of users
• High autonomy, low bureaucracy: we trust you to own your domain
• Remote-first culture with flexible hours and async-friendly communication
• Salary (fixed base) ABOVE the market average
• A smart, passionate team that moves fast, supports each other, and builds cool stuff
• 15 paid vacation days plus 5 paid sick days annually
• Paid access to courses, books, and growth resources
• Real decision-making power and ownership of your results

🧩 Role overview
We are looking for a Product Owner to ensure that the most valuable product decisions are executed efficiently, shipped quickly, and delivered in the right order. You will own the “how and when” of the product, turning direction into reality while maintaining speed, clarity, and high delivery quality.


🧩 Requirements:

• 2+ years of experience as a Product Owner managing delivery in cross-functional teams (8+ engineers).
• Strong ability to break down product initiatives into clear, incremental deliverables.
• Experience prioritizing work based on value, effort, and cost of delay.
• Ability to define detailed acceptance criteria, edge cases, and definitions of done.
• Strong communication skills for managing stakeholders and ensuring visibility across teams.
• Technical understanding of APIs, system design, and microservices architecture (Node.js is a plus).
• Fluent English (B1–B2+) for internal communication.
• AI-first mindset with demonstrated productivity gains using AI tools.
• High ownership mindset with focus on outcomes, not processes.

• Impact: Direct influence on how fast and effectively product decisions reach users.
• Autonomy: Ownership over delivery processes and prioritization decisions.
• Flexibility: Remote-first setup with async-friendly communication.
• Compensation: Competitive salary above market benchmarks.
• Team: Skilled, fast-moving team focused on execution and results.
• Time Off: Three weeks paid vacation plus 5 paid sick days annually.
• Growth: Unlimited learning opportunities and resources.
• AI-Heavy Environment: Advanced tooling and automation across workflows.
• Ownership: Full responsibility for delivery outcomes and team efficiency.

Our Mission and Vision

At Solidgate, our mission is clear: to empower outstanding entrepreneurs to build exceptional internet companies. We exist to fuel the builders — the ones shaping the digital economy — with the financial infrastructure they deserve. To achieve that, we’re on a bold path: to become the #1 payments orchestration platform in the world.

About the Role

Solidgate is a product-driven FinTech company operating in a highly dynamic and regulated environment. Our platform processes millions of transactions daily, where data accuracy, real-time monitoring, and system reliability directly impact revenue and customer trust.

We are seeking a Product Analyst to drive sustainable revenue growth for our product and merchants through advanced payment analytics and strategic performance optimization. You will take ownership of payment flow analysis, establish scalable frameworks for tracking and visualizing key payment metrics, and uncover high-impact opportunities to maximize approval rates, optimize payment costs, and drive overall transactional efficiency.

What You Will Own

• Conduct deep-dive analysis across payment flow segments to uncover growth and optimization opportunities.
• Generate, validate, and prioritize hypotheses through full-cycle experimentation, including A/B testing.
• Build and maintain dashboards to track Feature Adoption and key payment domain metrics.
• You will focus on the most technical domains of our platform: Core, Integrations, and Orchestration, ensuring the seamless performance of our payment engine.
• Partner closely with Product Managers to drive data-informed decisions.
• Research and implement growth opportunities within Network Tokenization and scheme-specific features (Visa, Mastercard, American Express, etc.), collaborating with analysts, payment scheme representatives, and other PSPs.
• Document research findings and experiment results to support strategic payment initiatives.

You Are a Great Fit If You Have

• 2+ years in analytics, including at least 1 year in Product Analytics
• Solid foundation in mathematical statistics, strong SQL, Python for data analysis, and experience with Tableau or similar BI tools
• Ownership mindset: You don’t just wait for tasks; you proactively find anomalies and propose solutions
  English proficiency at an intermediate level or higher
• Critical thinking and structured problem-solving
• Experience in the payments domain will be a plus (for example, a background at a payment service provider or as a Payment Analyst within an e-commerce or product company).
   

Why Join Solidgate?

Build systems that matter. Your work will directly affect platform stability, business decisions, and customer trust.

Real ownership. You’ll work with critical infrastructure, not dashboards for dashboards’ sake.

Career trajectory. We are moving towards a Domain Ownership model, where you can eventually lead the analytical vision for a specific payment stream.

Modern stack & innovation. Real-time analytics, AI automation, and scalable data systems.

Growth without bureaucracy. Fast decisions, strong engineering culture, and room to experiment.

Tomorrow’s fintech needs your mindset. Come build it with us.

🫂 Know top talent? We’re always on the lookout. Recommend someone for our role, and if they get hired, there’s a bonus waiting for you — simple as that.

An international company is looking for a Junior Retention manager to strengthen the team that works with the African markets. Our company is a team of ambitious and creative experts who are continuously progressing and attaining remarkable feats. Join us if you want to enjoy your work!

What We Are Looking For:

• Experience in writing SMS/push/email/post texts is a mandatory requirement;
• English language proficiency at B2 level;
• Experience in copywriting will be an advantage;
• Previous work experience in sports industry will be advantageous for the retention manager position.

Responsibilities:

• Writing and sending promotional SMS manually (for sporting events, promotions, etc.);
• Writing and sending push notifications to browsers and applications;
• Creating automated SMS and push notification chains using CRM, Customer IO, and similar tools;
• Reporting and analytics of mass promotional mailings using CRM and Google Analytics 4;
• Writing, editing, and updating sales scripts for telesales;
• Segmenting the call base and assigning tasks to telesales;
• Creating a content plan for all promotional mailings (SMS, push, email).

We offer you:

• Flexible schedule and remote work;
• Support from Team Lead on various tasks;
• 20 working-days paid annual leave, 5 days paid sick leave, UA national holidays;
• High salary growth potential. Competitive compensation depending on success of your work and your results;
• A unique work environment where you can be a part of creating a new and innovative product.

An international company is looking for a Retention manager to strengthen the team that works with the African markets. Our company is a team of ambitious and creative experts who are continuously progressing and attaining remarkable feats. Join us if you want to enjoy your work!

What We Are Looking For:

• Experience in writing and sending SMS/push/email/post texts using CRM is a mandatory requirement;
• English language proficiency at B2 level;
• Experience in copywriting will be an advantage;
• Previous work experience in sports industry will be advantageous for the retention manager position.

• Writing and sending promotional SMS manually (for sporting events, promotions, etc.);
• Writing and sending push notifications to browsers and applications;
• Creating automated SMS and push notification chains using CRM, Customer IO, and similar tools;
• Reporting and analytics of mass promotional mailings using CRM and Google Analytics 4;
• Writing, editing, and updating sales scripts for telesales;
• Segmenting the call base and assigning tasks to telesales;
• Creating a content plan for all promotional mailings (SMS, push, email).

• Stable schedule and remote work;
• Support from Team Lead on various tasks;
• 20 working-days paid annual leave, 5 days paid sick leave, UA national holidays;
• High salary growth potential. Competitive compensation depending on success of your work and your results;
• A unique work environment where you can be a part of creating a new and innovative product.

Chief Human Resources Officer (CHRO)

Основні задачі

HR-стратегія та організаційний розвиток

• Формувати та реалізовувати HR-стратегію відповідно до цілей бізнесу.
• Розвивати та вдосконалювати HR-процеси компанії.
• Супроводжувати організаційні зміни та процеси масштабування.
• Розвивати корпоративну культуру та підтримувати цінності компанії.
• Підвищувати рівень залученості співробітників та розвивати бренд роботодавця.

Recruitment & Workforce Planning

• Формувати стратегію залучення талантів.
• Планувати потребу в персоналі разом із керівниками функцій.
• Забезпечувати виконання плану найму на рівні компанії.
• Аналізувати ефективність джерел пошуку кандидатів та впроваджувати покращення.
• Формувати зовнішній та внутрішній кадровий резерв.

Leadership Development & Talent Management

• Будувати модель управлінських компетенцій.
• Організовувати оцінку та розвиток керівників.
• Впроваджувати програми розвитку менеджерів усіх рівнів.
• Формувати систему succession planning та кадрового резерву.
• Розвивати практики внутрішнього кар'єрного росту та мобільності співробітників.

Employee Experience & Retention

• Розвивати систему адаптації та онбордингу нових співробітників.
• Впроваджувати програми утримання ключових талантів.
• Аналізувати причини плинності персоналу та працювати над їх усуненням.
• Проводити дослідження залученості та задоволеності співробітників.
• Розвивати програми визнання та нематеріальної мотивації.

Performance Management

• Розвивати систему оцінки ефективності співробітників.
• Впроваджувати стандарти постановки цілей та оцінки результатів.
• Підтримувати керівників у проведенні performance review.
• Забезпечувати зв'язок між оцінкою ефективності, розвитком, кар'єрним зростанням та винагородою.

HR Analytics & Compensation

• Формувати систему HR-аналітики та управлінської звітності.
• Аналізувати ефективність найму, адаптації та утримання персоналу.
• Прогнозувати кадрові потреби бізнесу.
• Розвивати систему грейдів, кар'єрних рівнів та компенсацій.
• Брати участь у формуванні підходів до мотивації та винагороди співробітників.

Наш ідеальний кандидат

• Має досвід роботи на позиції Head of HR, HR Director, CHRO або Senior HRBP від 2 років.
• Має досвід побудови або трансформації HR-функції.
• Має практичний досвід управління HR- та Recruitment-напрямами.
• Працював(ла) в компаніях зі штатом від 100 співробітників.
• Має успішний досвід партнерської взаємодії з CEO та топменеджментом.
• Будував(ла) системи performance management та оцінки ефективності.
• Має досвід розвитку керівників та формування кадрового резерву.
• Приймає рішення на основі даних та володіє сильними аналітичними навичками.
• Має досвід супроводу організаційних змін та масштабування бізнесу.
• Володіє системним мисленням, високою емоційною зрілістю та бізнес-орієнтованим підходом до HR.

Ми пропонуємо

• Віддалений формат роботи.
• Високий рівень автономії та впливу на розвиток компанії.
• Пряму взаємодію з CEO та участь у стратегічних рішеннях.
• Можливість побудови та розвитку HR-системи на рівні всієї компанії.
• Команду, відкриту до змін та розвитку.
• Конкурентну компенсацію та бонусну систему.

What if your next project was with a company whose name is often the first answer to the question: "Where would you work if you could choose any tech company in the world?"

We're hiring a Lead Java Engineer to join a strategic cloud infrastructure initiative focused on building and scaling a Managed Kafka Connect ecosystem for a large-scale managed streaming platform.

Why this role is interesting

This isn't another CRUD application.

You'll work on distributed systems that operate at massive scale, helping productionize and improve Kafka connectors used to move and process critical data across cloud environments.

The team is responsible for integrating, optimizing, and launching first-party connectors including:

• Apache Iceberg Sink
• Debezium MySQL Source
• Debezium MongoDB Source
• SQL Server CDC Source
• Spanner CDC Source
• Bigtable Sink
• BigQuery connector enhancements

The work spans distributed systems, cloud infrastructure, performance optimization, reliability engineering, CDC technologies, load testing, and production readiness.

Your impact

As a Lead Engineer, you'll help shape technical direction and engineering practices while remaining hands-on.

You will:

• Lead architecture and design discussions
• Mentor engineers and support technical growth
• Drive delivery of complex distributed systems components
• Improve scalability, performance, and reliability
• Collaborate with product and engineering stakeholders
• Participate in launch readiness, operational reviews, and production support planning

Technology Stack

• Java
• Apache Kafka
• Kafka Connect
• Distributed Systems
• JVM Performance & Optimization
• Cloud Infrastructure
• Reliability Engineering

Nice to have:

• Go
• CDC technologies
• Experience building infrastructure, platform, or data-intensive products

We're looking for someone who has

• Strong experience with Java backend development
• Deep understanding of distributed systems
• Experience with Kafka ecosystem
• Technical leadership experience
• Strong system design and problem-solving skills
• Ability to mentor and guide engineers
• Upper-Intermediate+ English

Location

📍 Kraków, Poland

This is an office-based role.

Relocation support is available for candidates moving to Kraków.

We’re seeking motivated, sharp-minded professionals to join our team as a Cyber Security Analyst/Researcher. In this role, you’ll collaborate directly with clients, examine traffic patterns, and play a key part in identifying and neutralizing harmful bots and online threats.

Why join us? If you’re passionate about cybersecurity and eager to make the internet a safer place, this is your chance to make a meaningful contribution.

Customer

Our customer is a global provider of comprehensive security solutions, protecting individuals, organizations, and communities from a wide range of risks, particularly in the digital space. Their enterprise-focused products specialize in bot defense and invalid traffic detection, helping clients safeguard critical systems and maintain operational integrity.

Project

The project focuses on real-time threat detection and bot mitigation for enterprise-scale clients. Cyber Security Analyst collaborates directly with customers, leveraging advanced analytics platforms to identify malicious traffic patterns and neutralize online threats. This dynamic environment requires both technical expertise and strong communication skills.

Requirements

• At least 4 years of experience in data analysis in cybersecurity or fraud detection domains, including experience with logs and dashboards
• Strong SQL skills: complex queries, aggregations, GROUP BY, ORDER BY, filters, window functions (e.g., RANK()), CTEs, and subqueries
• Technical understanding of web technologies and client–server architecture (APIs, HTTP, basic HTML/JavaScript)
• Experience with SIEM systems (experience with the Elastic Stack would be an advantage)
• Strong troubleshooting and problem-solving skills
• Experience in customer support, including direct communication with clients; professionalism and politeness are essential
• Strong English communication skills

Would be a plus 

• Experience in a Cybersecurity Analyst/Researcher role, ideally supporting external customers in threat detection and response
• Experience in web security and security research: web application security, bot management, fraud detection
• Experience with research methodologies (hypothesis testing, verification and research plan)
• Python and JavaScript knowledge
• Experience with BigQuery/Snowflake
• Proficiency in building dashboards using BI tools (Snowflake, Looker, Kibana, JSM)

Personal Profile

• High level of responsibility and ownership
• Ability to work independently with minimal supervision
• Analytical mindset with a data-driven approach to decision-making
• Genuine interest in data, cybersecurity, and delivering high-quality customer service

• Proactive communicator who keeps stakeholders informed without being prompted

   

  Responsibilities

• Investigate advanced and persistent attacks using data analysis and data science tools
• Analyze customers’ web traffic to detect unidentified threats and reduce false positives using Elasticsearch and BigQuery
• Research, design, and continuously enhance detection mechanisms to stay ahead of evolving threats
• Provide real-time technical support to global customers, delivering professional and timely incident responses
• Produce clear, insightful incident reports
• Collaborate cross-functionally with R&D and Research teams to optimize the company’s detection and mitigation capabilities
• Design, plan, and implement internal automation projects to improve team efficiency
• Work in a shift-based schedule, including weekends

An international gambling company is looking for a Junior Affiliate Manager to strengthen the team that works with the African markets. Our company is a team of ambitious and creative professionals who are constantly developing and achieving high results. You can become a part of our team.

What We Are Looking For:

• Minimum work experience/no work experience but willing to learn;

• Understanding of sports betting and casino topics;

• Experience in closing deals and communicating with clients;

• Understanding the principles of affiliate marketing;

• High level of English language proficiency.

Personal Skills:

• Great attention to details;

• Ability to negotiate and obtain the lucrative terms for the company;

• Logical thinking;

• Ability to solve the problems independently.

Responsibilities:

• Attracting and connecting new affiliates to run RevShare and CPA campaigns;

• Analyzing and optimizing campaigns activity. Monitor performance of affiliates, such as source of traffic, the quality of their players and the revenues they are generating to increase ROI and reach KPIs;

• Building long-term relationships with partners;

• Invoicing and tracking of timely payment;

• Delivering affiliate marketing reports to management.

We offer you:

• Stable schedule and remote work;

• Support from Team Lead on various tasks;

• 20 working-days paid annual leave, 5 days paid sick leave, UA national holidays;

• High salary growth potential;

• Competitive compensation depending on success of your work and your results;

• A unique work environment where you can be a part of creating a new and innovative product.

Send us your Telegram @username and a few words about your experience in betting/gambling (if applicable). We’re excited to connect with you!

Our customer is a global leader in digital agreement and e-signature solutions, enabling organizations worldwide to securely manage, sign, and automate business-critical documents and workflows.

They are looking for a self-motivated software engineer to join us developing storage infrastructure to organize and facilitate our business growth. Our team is the center of how customers and services store their critical data and trust its security, performance, availability, compliance and durability, which enables customer derive intelligence and analytics through AI & BI.

As a Lead Software Engineer, you will own all aspects of the software development lifecycle including design, development, testing, deployment, and maintenance of product features in software products. You will play a key role in ensuring that our storage solutions are reliable, scalable, and support advanced orchestration using technologies such as the Temporal .NET SDK. You enjoy fast-paced entrepreneurial environments where you can solve difficult problems using current technologies and tools. You collaborate well with other team members when brainstorming, designing, and implementing new solutions. You will also help the team succeed by thinking about ways to improve processes, suggesting ways to make the team more effective, and mentoring and modeling engineering best practices.

Responsibilities:

• Design, develop, and maintain high-performance backend systems and APIs using C# and .NET technologies, hosted in Azure and various compliance-level data centers
• Build and maintain microservices-based architectures using C#, ASP.NET, and others
• Leverage Azure services like Azure App Services, Azure Kubernetes Service (AKS), Azure Blob Storage, and SQL/No-SQL databases to build scalable, secure, and reliable cloud-native solutions
• Design, implement, and maintain distributed workflows using the Temporal .NET SDK to provide resilient and observable orchestration for business-critical backend processes
• Integrate Temporal workflows with our .NET microservices architecture and cloud-based infrastructure
• Design and implement RESTful or gRPC APIs, and ensure seamless integration with other systems and products
• Optimize architecture and solutions for scalability and availability, with cost and maintenance in mind
• Identify and address performance bottlenecks and scalability challenges proactively
• Align across teams for designs, communicate and resolve roadblocks

• Guide and mentor other engineers through design and code reviews

   

Required Qualifications:

• Extensive experience 8+ years developing backend services and APIs in C#/.NET
• Experience with Azure services including App Services, AKS, Blob Storage, SQL/NoSQL Databases
• Experience with microservices architecture and distributed systems
• Hands-on experience with the Temporal .NET SDK or other workflow orchestration/tools (e.g., Durable Functions, Step Functions, Apache Airflow)
• Strong understanding of designing and building scalable, secure, and reliable cloud-native applications
• Experience with designing and implementing RESTful or gRPC APIs

• Knowledge of data storage best practices, including security, availability, and compliance

   

Preferred Qualifications:

• Familiarity with integrating orchestration tools into enterprise software environments
• Experience with performance optimization, cost management, and designing for high availability
• Excellent communication and collaboration skills
• Prior experience mentoring engineers and conducting design/code reviews
• Background in supporting analytics and business intelligence integrations