Innovecs

Innovecs is looking for a Senior DevOps Engineer to work on a high-performance filesystem product in a complex multi-cloud and on-prem infrastructure environment.

Our value to you:

• Flexible hours and remote-first mode,
• Competitive compensation,
• Complete Hardware/Software setup – anything you need for work,
• Open-door culture, transparent communication, and top management at a handshake distance,
• Health insurance, vacation, sick leaves, holidays, paid maternity/paternity leave,
• Access to our learning & development center: workshops, webinars, training platform, and edutainment events,
• Virtual team buildings and social activities.

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

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

Requirements:

• Strong Linux administration skills with at least 5 years of experience in production environments
• In-depth knowledge of AWS or GCP
• Proficiency in Python programming
• Extensive experience with Kubernetes and container technologies like Docker
• Solid understanding of infrastructure-as-code principles and experience with tools like Terraform
• Familiarity with monitoring and alerting systems for DevOps operations
• At least 5 years Prior experience as a DevOps Engineer.
• Strong problem-solving skills and the ability to work in a fast-paced environment
• Experience with VMware or bare metal server management
• Networking knowledge and experience
• Familiarity with Go programming language
• Experience designing and implementing CI/CD processes and build systems
• Knowledge of security best practices for cloud and on-premises environments

Responsibilities:

• As a Senior DevOps Engineer, your primary responsibility will be collaborating with other team members on our high-performance filesystem solution and releasing our kernel driver, which is written in C on top of Linux, as part of the filesystem product.
• What you’ll be doing: Client is at the forefront of automation, continuously striving to streamline our operations across all aspects of our infrastructure. We maintain a vast multi-cloud environment spanning AWS, GCP, Azure, and OCI, as well as a robust on-premises infrastructure. Our team is responsible for maintaining and optimizing these diverse environments.
• Key Responsibilities: As a Senior DevOps Engineer, you'll play a crucial role in supporting and expanding our automation efforts. You'll be responsible for designing, implementing, and maintaining sc

We are seeking an experienced and talented Lead Machine Learning Engineer

Innovecs is a global digital transformation tech company with a presence in the US, the UK, the EU, Israel, Australia, and Ukraine. Specializing in software solutions, the Innovecs team has experience in Supply Chain, Healthtech, Software & Hightech, and Gaming.
For the fifth year in a row, Innovecs is included in the Inc. 5000 and recognized in IAOP’s ranking of the best global outsourcing service providers. Innovecs is featured in the Global Top 100 Inspiring Workplaces Ranking and won gold at the Employer Brand Management Awards.

Our value to you: 

• Flexible hours and remote-first mode
• Competitive compensation
• Complete Hardware/Software setup – anything you need for work
• Open-door culture, transparent communication, and top management at a handshake distance
• Health insurance, vacation, sick leaves, holidays, paid maternity/paternity leave
• Access to our learning & development center: workshops, webinars, training platform, and edutainment events
• Virtual team buildings and social activities 
          

If you feel like you’re the perfect match for this role, drop us your CV! 

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

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

Requirements

• BSc degree in Computer Science, Data Science, Statistics, or a related field. A Master's degree is a plus,
• At least 5 years of relevant work experience in machine learning, data science, or a related field,
• At least 1–2 years of experience in a technical leadership, team lead, or mentoring capacity,
• Proficiency in Python and SQL/NoSQL (Cassandra, MongoDB) for quantitative analysis, modeling, and data manipulation,
• Knowledge of cloud technologies such as AWS Sage Maker and MLOps practices and tools (e.g., MLFlow, KubeFlow),
• Knowledge of basic data structures and algorithms and OOP,
• Experience with Big Data Analytics and tools (e.g., Elasticsearch, Spark, Airflow) for data analysis and visualization,
• Familiarity with model deployment, MLOps practices, and the lifecycle of machine learning models,
• Familiarity with model and application monitoring tools (e.g., Evidently.ai, NewRelic),
• Strong communication, leadership, problem-solving, and stakeholder management skills,
• Strong analytical skills and experience working with large volumes of data,
• A strong desire to continuously learn, improve, and stay updated with the latest technologies and trends in AI/ML,

• Upper Intermediate English level, with excellent communication skills to effectively collaborate with both technical and non-technical teams.

   

Responsibilities

• Lead and mentor a team of ML engineers, providing technical direction and supporting team growth,
• Own the end-to-end development and delivery of ML solutions, from problem framing and experimentation to production deployment and monitoring,
• Analyze large, complex data sets to translate them into actionable insights,
• Design and review ML architectures, data pipelines, and MLOps workflows,
• Perform the preparation and preprocessing of both structured and unstructured data to ensure model accuracy and effectiveness,
• Design, develop, implement, and test both descriptive and predictive ML models, focusing on quality, accuracy, and consistency,
• Convert data into meaningful insights and present information using advanced data visualization tools and techniques,
• Deploy models into production environments and be responsible for model management (MLOps),
• Ensure best practices in model development, deployment, observability, CI/CD, and production support.

We are seeking an experienced and talented Backend Team Leader (AI-Driven Lifecycle Specialist) 

Looking for a visionary Backend Team Leader to spearhead a newly formed high-performance engineering squad. In this role, you will manage a team of 6–8 members, including Senior Frontend and Backend Engineers. You are a "trusted person" responsible for both project success and the individual growth of your team.
Beyond traditional leadership, you will be the champion of AIDLC (AI-Driven Lifecycle), ensuring the team utilizes AI tools not just for unit testing, but across the entire development spectrum to radically accelerate delivery.

Innovecs is a global digital transformation tech company with a presence in the US, the UK, the EU, Israel, Australia, and Ukraine. Specializing in software solutions, the Innovecs team has experience in Supply Chain, Healthtech, Software & Hightech, and Gaming.
For the fifth year in a row, Innovecs is included in the Inc. 5000 and recognized in IAOP’s ranking of the best global outsourcing service providers. Innovecs is featured in the Global Top 100 Inspiring Workplaces Ranking and won gold at the Employer Brand Management Awards.

Our value to you: 

• Flexible hours and remote-first mode
• Competitive compensation
• Complete Hardware/Software setup – anything you need for work
• Open-door culture, transparent communication, and top management at a handshake distance
• Health insurance, vacation, sick leaves, holidays, paid maternity/paternity leave
• Access to our learning & development center: workshops, webinars, training platform, and edutainment events
• Virtual team buildings and social activities 
          

If you feel like you’re the perfect match for this role, drop us your CV! 

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

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

Requirements

• Expertise in AI‐Driven Development Lifecycle (AIDLC) and the ability to embed AI across design, development, testing, deployment, and operations.
• Expertise in Asp.Net 7/8, Web API, and C# for building scalable backend services.
• Expertise in Microservice Architecture and Domain‐Driven Design (DDD), including structuring complex domains and designing distributed systems.
• Expertise in Unit and Integration Testing using xUnit, NSubstitute, and modern testing practices.
• Expertise in relational data access with T‐SQL, EF Core, and Dapper.
• Above‐average level in distributed messaging and caching technologies such as Redis, Kafka, or RabbitMQ.

• Above‐average level in containerized development and cloud‐native deployment, including Docker and Kubernetes.

   

Responsibilities

• Full-Spectrum AI Integration: Implement and oversee the "full use of AI" across the SDLC—from architectural design and code generation to debugging and deployment—to maximize team velocity.
• Accelerated Delivery: Use AI-driven insights to meet and exceed performance benchmarks, ensuring that technical debt is minimized while output is maximized.
• Prompt Engineering & Mentorship: Mentor the team in AI best practices, ensuring AI is used as a core engine for development, not just a complementary tool.
• Performance & KPIs: Define and monitor clear KPIs with team members, reporting progress to senior management.
• Bi-directional Growth: Conduct monthly 1-on-1s and 6-month formal feedback sessions to support career paths and personal development.
• Code Quality: Enforce a strict 97% code coverage ratio and maintain a code churn of 10% or less during the final two days of a sprint.
• Stability: Ensure less than 1% of deployed code results in downtime.
• Review Process: Lead code reviews focused on performance, standards, and observability.
• Documentation: Foster a sharing culture by keeping the wiki updated and sharing monthly technical articles with the team.
• Data-Driven Decisions: Use analytical rigor and data to guide the team’s direction.
• Autonomy: Provide clear goals in our Agile environment and empower the team to be self-directing.
• Risk Mitigation: Act as a "lantern" for the team, identifying and solving problems before they escalate.