L2 Technical Support Engineer

Company Description
Join a growing DevOps community at Sigma Software and build hands-on experience with modern cloud infrastructure, CI/CD pipelines, automation, and Infrastructure as Code. We are looking for a Junior DevOps Engineer eager to develop technical expertise while working alongside experienced professionals on international projects.

You will become part of a top-notch DevOps team of more than 30 specialists collaborating across cloud-native platforms, enterprise systems, and scalable digital products. We as a company support continuous learning, mentoring, certification growth, and transparent career development.

This role is a great opportunity for engineers who want to strengthen their cloud and automation skills in a collaborative environment with access to Senior and Principal-level mentorship.

Job Description

• Set up, configure, test, and maintain infrastructure across development, staging, testing, and production environments
• Contribute to Infrastructure as Code implementation following established modules, conventions, and review processes
• Support CI/CD pipeline configuration, maintenance, release preparation, and deployment activities
• Investigate incidents by collecting logs and monitoring evidence, performing initial triage, and documenting resolutions
• Configure monitoring checks, alerts, and participate in backup and recovery procedures
• Follow security best practices including least-privilege access management and secure secrets handling
• Maintain infrastructure documentation, deployment instructions, architecture diagrams, and operational runbooks
• Collaborate with developers, QA engineers, security specialists, and operations teams
• Continuously improve technical skills through mentoring, certifications, and project participation

Qualifications

• 1+ years of hands-on experience with at least one public cloud platform: AWS, Azure, or GCP
• Solid understanding of Linux administration and networking fundamentals including TCP/IP, DNS, HTTP/HTTPS, services, packages, and system metrics
• Understanding of CI/CD principles and practical exposure to GitHub Actions, GitLab CI, Azure DevOps, Jenkins, or TeamCity
• Understanding of containerization concepts and practical experience with container images and runtime environments
• Scripting experience using Shell and either Python or PowerShell
• General understanding of Infrastructure as Code and configuration management tools such as Terraform and Ansible
• Understanding of SDLC processes and DevOps principles
• Basic knowledge of databases, monitoring, logging, backup, storage, and security concepts
• Understanding of authentication and authorization concepts, TLS, and secure secrets management
• Experience using AI assistants responsibly while validating outputs and maintaining data security standards
• Good communication and collaboration skills
• At least an Upper-Intermediate level of English

WILL BE A PLUS

• Experience with Kubernetes or other orchestration platforms
• Hands-on experience with Terraform or Ansible in production environments
• Experience with centralized logging and monitoring tools such as Prometheus, Grafana, ELK Stack, CloudWatch, or Datadog
• Exposure to GitOps practices
• Familiarity with AI/LLM services or vector databases in infrastructure-related scenarios
• Cloud or Linux-related certifications

Additional Information

PERSONAL PROFILE

• Strong willingness to learn and grow within a professional DevOps environment
• Proactive and ownership-oriented mindset
• Ability to collaborate effectively in cross-functional teams
• Attention to detail and structured approach to operational tasks
• Good analytical and problem-solving skills

🔹Who we are!
At Levi9, we are passionate about what we do. We love our work and together in a team, we are smarter and stronger. We are looking for skilled team players who make change happen. Are you one of these players?

🔹About The Project
You will become part of a dynamic, cross-functional AI team working on AI prototyping, from classic ML to advanced applications of LLMs such as Text-to-SQL and complex RAG systems. Our goal is to engage our customers with advanced AI solutions.

🔹Responsibilities

• Design and deploy predictive ML models (e.g., decision trees, random forests, gradient boosting) for analytics and feature engineering.
• Develop recommendation systems using collaborative and content-based filtering techniques.
• Build and enhance RAG systems, including embedding pipelines, managing vector databases, and integrating LLMs.
• Implement text-to-SQL capabilities, allowing users to query relational databases naturally using LangChain or similar technologies.
• Work alongside data engineers to ensure robust data pipelines and high-quality datasets for training and inference.
• Collaborate with Product Owners and UX Designers to align AI features with user needs and business goals.
• Continuously research, test, and apply cutting-edge algorithms and technologies to boost model performance and scalability.
• Monitor and improve production models, ensuring reliability, performance, and compliance with ethical standards.

🔹Requirements

• Experience: 4+ years in AI/ML, specifically building and deploying production-level ML models.
• Classic ML: Solid skills with decision trees, random forests, and gradient boosting methods (scikit-learn, XGBoost).
• Recommender Systems: Proven experience in collaborative and content-based recommendation algorithms.
• RAG & LLM Development: Hands-on expertise with retrieval-augmented generation systems, vector databases (Pinecone, Weaviate), and frameworks like LangChain or LlamaIndex.
• Text-to-SQL: Experience developing natural-language-to-SQL solutions using frameworks like LangChain.
• Programming & Data: Advanced Python proficiency, strong SQL skills, and familiarity with Pandas and NumPy.
• Cloud & MLOps: Knowledge of deploying models on AWS, Azure, or GCP, and familiarity with CI/CD and MLOps tools (MLflow, Kubeflow).
• Communication: Comfortable in Agile teams with excellent English communication skills.

🔹Will be a plus

• Experience with Docker and Kubernetes.
• Familiarity with advanced embedding techniques and optimizing similarity searches.
• Background in deep learning frameworks such as TensorFlow or PyTorch.
• Knowledge of ethical AI practices and data privacy standards.

🔹
Our customer's stack
Core
— Python 3.13, LangGraph and LangChain for agent orchestration, AWS Bedrock for inference, retrieval, and runtime (AgentCore, Knowledge Bases, Guardrails), Pydantic for schema enforcement, CloudFormation for infrastructure.

Quality
— pytest across unit, integration, and e2e tiers with a coverage gate, ruff, mypy and pyright, promptfoo for prompt and output evaluation. We hold agent code to the same bar as any other production system.

🔹9 Reasons To Join Us

• Today we're working with the technology of tomorrow.
• We don't wait for a change. We are the change.
• We're experts in creating experts (Levi9 academy, Lead9 program for leaders).
• No micromanagement. We are free birds with a clear understanding of what high performance is!
• Learning in Levi9 never stops (unlimited Udemy for business, meetups, English courses, Professional trainings).
• Here you can train your body and mind.
• We've gathered the best locations - comfortable, cozy and pet-friendly offices in Kyiv (5 minutes from Olimpiyska subway station) and Lviv (5 minutes from the Opera Theatre) with regular offline internal events
• We have master's degree in work-life balance.
• We are actively supporting Ukraine with constant donations and volunteering

🔹Simple steps to get this job
Click the APPLY NOW button and leave your contacts!

Levi9 is a nearshore technology service provider with around 1000 employees and 50+ customers. We specialize in custom made business IT – 95% of our work is on the revenue side of our customers. This is where time to market, high productivity, stable team velocity, and great quality through automation, agility, intensive interaction and understanding matter most.

Зміст роботи:

• Технічна підтримка та забезпечення безперебійної експлуатації:

• IТ-систем та сервісів;
• серверного обладнання та систем зберігання даних;
• мережевого обладнання та телеком-сервісів;
• структурованої кабельної системи;
• телефонії;
• робочих місць співробітників;
• автоматизованої системи диспетчерського управління ЦОД (АСДУ).

• Виявлення проблем експлуатації, складання заходів щодо їх усунення.
• Доопрацювання та модернізація систем.
• Участь у внутрішніх проектах в зоні своєї відповідальності.
• Організація роботи служби, керування персоналом.
• Фінансове планування діяльності служби.
• Взаємодія із суміжними підрозділами.
• Організація взаємодії із зовнішніми компаніями в рамках виконання службових обов'язків.

Обов'язкові Професійні Компетенції

• Досвід експлуатації ІТ-сервісів на базі програмного забезпечення компанії Microsoft.
• Досвід експлуатації мережі Cisco.
• Знання основних принципів роботи систем віртуалізації на базі технології VMware.
• Знання основних засад інформаційної безпеки.
• Знання принципів побудови, досвід експлуатації АСДУ.
• Знання основних засад ITIL/ITSM.
• Знання основних засад управління проектами.

Бажані професійні компетенції:
досвід роботи з контролерами та SCADA виробництва Schneider Electric.

Бізнес-компетенції:
здатність працювати відповідно до корпоративних стандартів, політик та методологій.

Ми пропонуємо:

• Оформлення згідно з КЗпП України.
• Офіційну ЗП.
• Професійний, дружній колектив.
• Комфортний офіс.
• Медичне страхування після випробувального терміну.
• Компенсація витрат за мобільний зв'язок у межах встановлених лімітів.
• Sweet Fridays, спортзал та інші "плюшки" від компанії.

Chief Engineer — Occam Industries

Kyiv, Full-Time
Occam Industries applies AI to Ukraine's drone fleet, flying on live combat missions. We are partnered with some of the major OEMs and brigades in Ukraine, and our AI is also deployed on EU platforms. We were built on a simple premise: deterrence is proven in the field, not built in a laboratory. We're hiring a Chief Engineer who wants to keep building, not step away from it.

This role leads our Pilot and Platform engineering teams — not through day-to-day people management or payroll, but through architecture, product decisions, and direct technical leadership. You'll work with the product team to shape what gets built, own system architecture across flight autopilot and hardware/platform layers, and drive both teams to ship. A CTO sits above this role to handle strategy, business, and financing — this position exists so that whoever holds it can stay close to the code and the customer instead of being pulled upward into the business.

We expect this to be a genuinely split role: roughly half your time in the codebase, hands-on, because the team won't respect — or follow — someone who can't. The other half is spent making architectural and product calls, leading the teams, and hiring. If you want a senior role that still means being one of the best engineers in the building, this is it.

What we're looking for:

• Deep hands-on engineering ability — you need to be credible in the codebase, not just above it
• Experience owning system architecture across complex, hardware-adjacent software systems
• A track record of driving engineering teams to ship, without relying on formal management authority
• Comfort working closely with product and OEM stakeholders on real-world tradeoffs
• A build-first mentality — this is not a strategy or business-facing role
• Bilingual English / Ukrainian is a bonus but not necessary, basic English skills is a must

What you get:

• Top-of-market compensation plus equity
• A senior technical role explicitly structured to keep you building and close to the customer
• Direct influence over the architecture and product driving Occam's AI into combat
• We are able to discuss reservations for critical candidates with significant experience

Interview process:

• Typically a four stage interview process that will complete within one to two weeks.
• Offer conditional on background check by security services.

We are well funded by EU governments and defence primes. Based in Kyiv.