Principal Streaming Technology & Quality Lead

About KX

KX is the temporal AI infrastructure for capital markets, giving AI a sense of time, so every decision is grounded in when data was true, not just what it says. The KX portfolio normalizes market data across 250+ venues, capturing, sequencing, and replaying events at nanosecond precision. We enable firms to eliminate data fragmentation, meet regulatory auditability requirements, and build AI systems that are fast, accurate, and defensible across trading, risk, and compliance.

Trusted by 8 of the top 10 global investment banks and serving $50 trillion+ in assets under management, KX is the essential infrastructure for the world's most demanding financial institutions. We serve leading organizations across aerospace and defense and high-tech manufacturing, with offices across North America, Europe, and Asia Pacific.

Overview Of The Role

KX is hiring an Incident Manager to help streamline incident management processes, improve customer communication during critical situations, and reduce the operational pressure on technical teams.

In this role, you'll sit at the centre of customer-facing incident coordination — ensuring timely communication, effective escalation, and smooth collaboration between customers, Monitoring, Product, and Engineering teams. You'll help drive incidents from initial detection through resolution while ensuring stakeholders stay informed and aligned throughout the process.

As part of the team, you'll establish structured incident management practices, improve operational workflows, track recurring issues, and contribute to building scalable processes as we expand our customer base.

This is a high-impact role for someone who thrives in fast-paced environments, can confidently manage critical customer situations, and enjoys bringing structure and clarity to complex operational challenges.

Skills

• Strong written and verbal English communication skills, with the ability to manage high-visibility customer communications.
• Strong incident management and prioritization skills.
• Ability to remain composed under pressure and handle critical customer situations.
• Strong understanding of support SLAs and support operations principles.
• Ability to coordinate cross-functional teams and drive issues through to resolution.
• Deep knowledge of the Release management process.

Essential Experience

• 3+ years of experience in incident, change, and problem management following ITIL practices.
• Hands-on experience managing P1 incidents.
• Experience owning customer communication during critical incidents, including updates, escalations, and closure.
• Experience maintaining incident timelines, impact assessments, action tracking, and stakeholder communication.
• Experience working with incident reporting, RCA documentation, and operational processes.
• Experience working with support, monitoring, or technical teams in an operational environment.
• Experience leading or coordinating a team of 3–5 people.

Preferred Qualifications

• Experience in the FinTech domain
• Awareness of Data Protection Regulations
• Experience with Jira, Confluence, or similar collaboration tools.
• Familiarity with monitoring and alerting tools such as Airflow, Sentry, or Grafana.

Key Responsibilities

• Continuously monitor customer emails, channels, and threads during agreed coverage hours.
• Together with Monitoring, identify emerging issues and notify the customers proactively. While monitoring focuses on raising the issues, incident manager focuses on customer communication side of activities in a proactive way.
• Maintain and lead incident comms: acknowledgement → interval updates → closure → tracking remediation items and reporting on resolution status continuously.
• Maintain incident records (timeline, impact, actions, owners, status).
• Support monitoring team with cross- team collaboration and proactive routing of the technical work to the right team and track to closure — without owning the fix.
• Initiate and facilitate pro-active P1 Customer calls based on needs, engaging team members required.
• Escalate on severity, SLA risk, or customer sentiment to the PM team.
• Track SLA breaches for incidents, escalate and speed up resolution.
• Ensure smooth release upgrades from the incidents’ perspective, analyze the gaps, and suggest improvements to the process.
• Managing incidents in connection with the releases as part of the release management process
• Handle simple cases end-to-end, removing them from the PM queue.
• In alignment with PMs and customer service tiers (priorities)improve prioritization process on the level of L1.
• Produce incident summaries, RCA and periodic reporting+ monthly/quarterly/yearly analysis and reporting (internal and external)
• Feed recurring patterns into monitoring coverage, run books and knowledge base.
• Scale incident management to the whole set of Customers.
• Participate in incident management automation via AI.
• Drive urgent change advisory boards for incident-related patches as part of the Customer release process.

Out of scope

• Technical resolution of issues.
• Security and data breaches (for the beginning, later -is needed with support of the technical leads).

Location & Workplace Type

This is a Hybrid role where you will work 3 days in our Yerevan office.

Why Choose KX

Data Driven: We lead with instinct and follow facts.

Naturally Curious: We lean in, listen, and learn fast.

All In: We take ownership, take on challenges and give it our all.

Benefits

• Competitive Salary
• Individually tailored training and skills development
• Private healthcare package and Employee Assistance Programme
• Enhanced maternity and paternity package
• Wellness Days and Volunteer Days

Are you GAME to JOIN US and be our new AI Data Center Manager?

SoftConstruct is on a search for a new player to join our AI Center Of Excellence team.

Description

We are seeking an experienced, forward-thinking AI Data Center Manager to lead our 5MW high-density compute footprint. Unlike traditional mega-scale facilities, this role is designed for an agile executive leader who can manage a cutting-edge, ultra-dense deployment focused entirely on Enterprise AI workloads, including large language model fine-tuning, high-throughput inference, and advanced multi-node HPC clustering. This role is part of a landmark AI infrastructure project with a total investment of more than USD 100 million, making it one of the largest AI data center initiatives in the region. In this role, you will hold ultimate responsibility for the physical deployment, thermal management, and day-to-day operational efficiency of our liquid-cooled GPU clusters. You will serve as the critical link between our physical colocation partners and our internal AI Platform Engineering teams to ensure maximum hardware performance, zero thermal throttling, and seamless power delivery.

Requirements

• Professional Experience: 7+ years of direct experience in data center operations, high-performance computing (HPC), or critical facilities engineering, with at least 3 years in a direct leadership or managerial capacity
• Advanced Thermal Expertise: Deep technical understanding of direct-to-chip liquid cooling loops, Coolant Distribution Units, rear-door heat exchangers (RDHx), and general facility MEP (Mechanical, Electrical, Plumbing) designs
• High-Density Hardware Literacy: Direct experience deploying and maintaining high-power density compute environments (NVIDIA HGX/DGX, advanced liquid-cooled chassis, or specialized OEM architectures)
• Colocation Contract Proficiency: Proven experience negotiating and managing SLAs, Master Service Agreements (MSAs), and joint operating procedures inside high-tier commercial colocation facilities
• Bachelor's degree in Mechanical Engineering, Electrical Engineering, Computer Science, or equivalent technical discipline / equivalent practical experience
• Transition Management: Experience guiding active environments through transitioning from legacy air cooling to hybrid air-and-liquid or 100% direct-to-chip liquid-cooled architectures
• Software Infrastructure Literacy: Functional knowledge of container orchestrators (Kubernetes) and AI training scheduling architectures (Slurm)
• Strategic Partnerships: Established, active relationships with key component providers (CDU vendors, quick-disconnect suppliers) and server OEMs

Responsibilities

• Liquid Cooling Operations: Oversee the operation and maintenance of direct-to-chip liquid cooling loops, Coolant Distribution Units (CDUs), and localized liquid-to-air secondary heat exchangers in a dense environment
• Rack-Level Power Strategy: Optimize active power distribution at the rack level, managing ultra-dense power envelopes ranging from 60kW to 100kW+ per rack 60-140across our 5MW footprin
• PUE & Efficiency Optimization: Drive continuous physical optimization to lower Power Usage Effectiveness (PUE) and achieve carbon neutrality and environmental sustainability metrics
• Colocation SLA Management: Act as primary liaison to wholesale colocation partners, holding suppliers strictly accountable to power, cooling, physical security, and infrastructure uptime SLAs
• Hardware Lifecycle Operations: Direct the logistics, installation, staging, provisioning, and decommissioning of advanced AI hardware systems (including NVIDIA DGX/Blackwell/Hopper, Ver Rubin)
• Network Fabric Readiness: Collaborate closely with Network Architecture teams to ensure high-bandwidth, ultra-low-latency backend topologies (InfiniBand, RoCEv2) are perfectly integrated and structurally protected
• Telemetry and Monitoring: Implement and maintain centralized environmental telemetry pipelines that connect physical variables such as coolant flow rates, pressure, and ambient temperature with software schedulers such as Slurm and Kubernetes

Do you like to learn hard, work hard and play hard?

Do you imagine better things, technologies, future?

If you answered “Yes” to at least two of these questions then we might be a great fit for you.

Department:
Research & Development

Location:
EMEA-Armenia-Yerevan

Description
We are looking for a Senior Software Quality Assurance Engineer to join our team and help ensure the quality of cloud-based workflow orchestration for complex backend systems.

The team works on a central orchestration platform responsible for running automated workflows related to data processing, validation, transformation, and publishing. The system coordinates multiple internal services, APIs, cloud components, command-line tools, event-based communication, and workflow state management.

In this role, you will work closely with developers, SQA engineers, DevOps, and product stakeholders to validate complex integration scenarios, improve automated test coverage, maintain CI/CD pipelines, and support reliable delivery across development and production environments.

Responsibilities
Key Responsibilities

• Design, implement, and maintain automated tests for backend workflow systems.
• Work with integration and end-to-end test scenarios covering complex multi-step business processes.
• Validate integrations between backend services, internal APIs, cloud components, and external dependencies.
• Analyze test failures, logs, cloud events, workflow states, and service responses to identify root causes.
• Build and maintain Python-based automation tools and test utilities.
• Support and improve cloud-based test infrastructure using AWS services such as S3, Lambda, SQS, CloudWatch, IAM, EventBridge, and related components.
• Set up, maintain, and improve CI/CD pipelines for automated test execution and reporting.
• Work with test data, cloud assets, API payloads, identifiers, and environment-specific configuration.
• Collaborate with development teams to clarify requirements, define test strategy, and improve system quality.
• Mentor less experienced team members in Python automation, SQA practices, and troubleshooting approaches.

Required Skills
Skills, Knowledge & Expertise

• Relevant experience of 8+ years, last 4+ of which should be focused on automation.
• Strong Python programming skills for automation, tooling, and backend test logic.
• Solid understanding of SQA fundamentals: test design, test strategy, defect analysis, regression testing, and risk-based testing.
• Hands-on experience with automated testing of APIs, backend services, or distributed systems.
• Strong AWS knowledge, especially S3, Lambda, SQS, CloudWatch, IAM, and EventBridge.
• Basic DevOps knowledge, including CI/CD setup, pipeline maintenance, environment configuration, and troubleshooting.
• Experience with Git and CI/CD tools such as Bamboo, Jenkins, GitHub Actions, or similar.
• Ability to analyze logs, debug integration failures, and work with complex multi-service workflows.
• Good English communication skills, both written and spoken.

Nice to Have

• Experience with BDD frameworks and feature-based test scenarios.
• Experience with workflow orchestration systems, event-driven architecture, or message queues.
• Familiarity with Kafka, Amazon SWF, or similar workflow/event technologies.
• Experience testing complex algorithms, data processing systems, or computational workflows.
• Experience with Docker, Linux/WSL, and cloud-based test execution.
• Experience with test result reporting, XML/HTML reports, cloud-based artifacts, and distributed test execution.
• Understanding of performance, reliability, and stability testing for backend systems.

Ideal Candidate
The ideal candidate is a hands-on SQA engineer who is comfortable working deep inside backend systems, cloud infrastructure, and automation frameworks. They can write clean Python code, understand how distributed systems fail, investigate complex issues across logs and AWS services, and help the team build reliable automated validation for critical backend workflows.

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Equal Opportunity Statement
Align Technology is an equal opportunity employer. We are committed to providing equal employment opportunities in all our practices, without regard to race, color, religion, sex, national origin, ancestry, marital status, protected veteran status, age, disability, sexual orientation, gender identity or expression, or any other legally protected category. Applicants must be legally authorized to work in the country for which they are applying, and employment eligibility will be verified as a condition of hire.