DevOps Jobs in Lithuania.
All active DevOps roles based in Lithuania.
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DevOps Engineer (Digital Marketing sphere)
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Company Background
Our client is a global technology company transforming the advertising landscape by enabling advertisers, agencies, publishers, and broadcasters to leverage advanced data and modern TV technologies. Their unified technology stack includes a demand-side platform (DSP), a supply-side platform (SSP), and a robust data platform that supports scalable advertising solutions. With an international presence and a culture of flexibility and innovation, they are building a world-class engineering organization.
Project Description
As part of the DevOps team, you will be embedded within one or more software engineering teams to deliver infrastructure and operational support. You’ll take ownership of delivering scalable, automated systems and services. Your work will help bridge the gap between development and operations, ensuring reliable, secure, and performant infrastructure across a modern microservices architecture. You’ll be expected to operate infrastructure in AWS, build CI/CD pipelines, monitor performance, troubleshoot complex issues, and support both development teams and live production systems.
Technologies
- Linux
- AWS
- Chef
- Ansible
- Terraform
- Bash
- Python
- Ruby
- Bamboo
- Kubernetes
- REST APIs
- Microservices
- Prometheus
- InfluxDB
- Nagios
- ELK
- Zookeeper
- Consul
- Spark
- Hive
- EMR
- Couchbase
What You'll Do
- Contribute to the design and implementation of infrastructure solutions with a strong focus on automation and scalability;
- Operate, monitor, and troubleshoot infrastructure in large-scale production environments;
- Support developers with deployment, observability, and reliability tooling;
- Develop scripts and automation tools for monitoring, incident response, and infrastructure tasks;
- Collaborate across engineering and business teams to maintain operational excellence;
- Maintain system documentation, deployment procedures, and best practices;
- Proactively identify performance bottlenecks and implement tuning strategies;
Job Requirements
- 3+ years of experience in DevOps roles supporting large-scale production environments;
- Expertise with AWS;
- Strong Linux skills, with advanced knowledge of system internals and networking;
- Knowledge of Victoria Metrics, Click House, and Grafana;
- Hands-on experience with infrastructure-as-code tools like Chef, Terraform, or Ansible;
- Proficiency in scripting languages such as Bash, Python, or Ruby;
- Experience with Kubernetes and container orchestration;
- Familiarity with monitoring tools like Prometheus, Nagios, or InfluxDB;
- Experience with CI/CD practices and tools;
- English: B1+ level (spoken and written);
What Do We Offer
The global benefits package includes:
- Technical and non-technical training for professional and personal growth;
- Internal conferences and meetups to learn from industry experts;
- Support and mentorship from an experienced employee to help you professional grow and development;
- Internal startup incubator;
- Health insurance;
- English courses;
- Sports activities to promote a healthy lifestyle;
- Flexible work options, including remote and hybrid opportunities;
- Referral program for bringing in new talent;
- Work anniversary program and additional vacation days.
Ready to apply?
Apply to Coherent Solutions
AI/ML Developer
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We are launching a strategic pool of AI specialists to accelerate the growth of our AI Practice and turn strong market demand into scalable, repeatable capabilities. This role goes beyond project delivery-it is about shaping how AI is built, shared, and scaled across the company.
As part of this group, you will play a key role in internal capability development, with a strong focus on designing and evolving AI Accelerators-reusable frameworks, templates, and reference architectures covering GenAI, LLM-based solutions, ML pipelines, and cloud-native AI systems. These accelerators will become the backbone of our AI offerings, enabling faster delivery, higher quality, and consistent technical standards across projects.
A second core dimension of the role is knowledge leadership. Strategic hires will actively contribute to internal knowledge-sharing initiatives: technical deep dives, hands-on workshops, demos, and best-practice sessions covering topics such as GenAI orchestration, RAG, model deployment, prompt and system design, observability, and cost-efficient AI architectures. You will help raise the overall AI maturity of the organization while mentoring engineers and influencing technical direction. In addition, members of this group will act as AI project jumpstarters, joining new client engagements for up to 50% allocation over 1-2 months. In this capacity, you will help define solution architectures, validate technical approaches, build initial prototypes, and set strong engineering foundations before teams scale. This gives you exposure to diverse domains and cutting-edge AI use cases while maximizing your impact across multiple initiatives.
Project Description
We are looking for a highly skilled and innovative Machine Learning Engineer to develop and expand our Generative AI and Computer Vision capabilities. This role involves accelerating Technical Sales Support, Architecture and PoC development.
Technologies
- Python
- Git, CI/CD practices for ML and data pipelines
- AWS and/or Azure
- PyTorch, TensorFlow
- MLflow
- LLMs and NLP tasks
- Generative AI concepts
- LangChain/LangGraph, LlamaIndex
- Qdrant, Pinecone, Weaviate, FAISS or similar
- RNNs, Transformers
- Dataset labeling, annotation tools (e.g., Label Studio, CVAT)
- Prometheus, Grafana, DataDog, OpenTelemetry
- YOLO, SDD
- Segmentation models
- Image Classification
What You'll Do
- Lead the design, development, and deployment of scalable ML services;
- Architect and implement AI/ML solutions, ensuring model quality, governance, and security;
- Optimize ML workflows for performance and cost efficiency on cloud platforms (AWS, Azure, or GCP);
- Collaborate with data scientists, analysts, and business stakeholders to understand ML requirements;
- Mentor and guide junior engineers, promoting best practices in ML engineering;
- Develop and maintain documentation, ML models, and technical standards;
- Monitor, troubleshoot, and resolve issues in production for ML pipelines and environments;
- Stay up-to-date with emerging trends and technologies in AI/ML field;
Job Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field;
- 5+ years of experience in ML engineering, with at least 1 years of hands-on experience with LLMs;
- Strong proficiency in Python;
- Experience with cloud data platforms (AWS and/or Azure);
- Familiarity with CI/CD, DevOps, and infrastructure-as-code practices for ML engineering;
- Experience with data governance, security, and compliance in cloud environments;
- Excellent problem-solving, communication, and leadership skills;
- English: Upper Intermediate level or higher;
What Do We Offer
The global benefits package includes:
- Technical and non-technical training for professional and personal growth;
- Internal conferences and meetups to learn from industry experts;
- Support and mentorship from an experienced employee to help you professional grow and development;
- Health insurance;
- English courses;
- Sports activities to promote a healthy lifestyle;
- Flexible work options, including remote and hybrid opportunities;
- Referral program for bringing in new talent;
- Work anniversary program and additional vacation days.
Ready to apply?
Apply to Coherent Solutions
Cloud Infrastructure Engineer (Data Center)
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Company Background
Our client is a leading global data center provider delivering hyperscale and edge infrastructure solutions across the Americas, EMEA, and Asia-Pacific. With 80+ data centers in 20+ countries, they partner with industry leaders such as Google, Oracle, NVIDIA, and Microsoft Azure to power the world’s digital infrastructure. Recognized as a USA TODAY Top Workplace for four consecutive years, the company continues to expand its global footprint and customer ecosystem.
Project Description
We are looking for a Cloud Infrastructure Engineer to help shape and deliver a modern cloud and hybrid IT strategy across Azure, AWS, and GCP. In this role, you will design scalable, secure, and cost-effective infrastructure that supports enterprise applications, hybrid connectivity, and next-generation data and AI/ML workloads.
Technologies
- Azure ecosystem
- Azure DevOps
- GCP / AWS
- Infrastructure as Code: Bicep
- Windows Server
- Microsoft SQL Server
What You'll Do
- Lead the assessment and modernization of enterprise cloud workloads, defining migration roadmaps across retain, re-platform, refactor, and retire scenarios;
- Design governed multi-cloud landing zones across Azure, AWS, and/or GCP, standardizing networking, identity, policy, and account/subscription topology through Terraform and Bicep;
- Establish cloud-agnostic infrastructure practices, reusable IaC modules, and automated provisioning standards to reduce manual operations and subscription sprawl;
- Govern identity and access across cloud platforms, SaaS applications, and CI/CD workloads using Microsoft Entra ID, conditional access, workload identity federation, and service principal controls;
- Architect secure hybrid and cross-cloud connectivity, including ExpressRoute, SD-WAN, traffic segmentation, and low-latency data transfer patterns;
- Implement zero-trust security controls for IT/OT boundaries, including inspected and policy-enforced traffic flows for SCADA, HMI, ICS, and enterprise systems;
- Design resilient, highly available cloud architectures with defined RTO/RPO targets and automated disaster recovery validation;
- Build platform services, CI/CD templates, and self-service infrastructure capabilities that enable internal teams to consume cloud services through documented standards and APIs;
- Implement governance, policy-as-code, and FinOps practices to enforce security, compliance, cost tagging, spend attribution, and cloud cost optimization;
- Support strategic modernization initiatives, including Kubernetes adoption, application containerization, database optimization, and reduction of Windows server licensing costs;
Job Requirements
- 7+ years of experience in cloud infrastructure engineering, with deep hands-on expertise in Microsoft Azure and production experience with at least two major cloud providers, such as Azure, AWS, or GCP;
- Strong experience with cloud networking, IAM, compute, IaaS/PaaS services, and Microsoft Entra ID / Azure AD, including conditional access, workload identity federation, SAML/SCIM, and service principal governance;
- Proven expertise in IaC using Terraform and/or Bicep, including governed landing zones, module registries, and cloud infrastructure migration;
- Hands-on experience designing and operating CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tools, including pipeline-as-code, security scanning, and deployment gates;
- Solid understanding of zero-trust architecture, IT/OT boundary security, and industrial control environments such as SCADA, HMI, and ICS;
- Experience designing and validating disaster recovery architectures across regions and cloud providers, including RTO/RPO definition and automated failover testing;
- Familiarity with FinOps practices and tools, including cost tagging, spend attribution, showback/chargeback models, CloudHealth, CloudCor, or native cloud cost tools;
- Experience with policy-as-code frameworks such as Azure Policy, AWS SCPs, GCP Organization Policies, or Open Policy Agent;
- English level: B2 or higher;
What Do We Offer
The global benefits package includes:
- Technical and non-technical training for professional and personal growth;
- Internal conferences and meetups to learn from industry experts;
- Support and mentorship from an experienced employee to help you professional grow and development;
- Health insurance;
- English courses;
- Sports activities to promote a healthy lifestyle;
- Flexible work options, including remote and hybrid opportunities;
- Referral program for bringing in new talent;
- Work anniversary program and additional vacation days.
Ready to apply?
Apply to Coherent Solutions
AI focused DataBricks Developer (Digital Engineering)
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Company Background
Our client is a leading life insurance company, part of a global financial services group. The company offers a wide range of products, including annuities and life insurance, delivered through a large nationwide network of agents.
Project Description
The project focuses on a production system managing clients and life insurance programs. The role involves both support and new feature development, with a strong emphasis on building and optimizing data pipelines and working within a modern Azure-based data platform.
Technologies
- Azure
- Databricks (Architecture, Unity Catalog, Delta, Lineage, Permissions, Databricks Genie, Notebooks)
- Agentic AI (Mosaic AI)
- Python
- SQL
What You'll Do
- Develop and maintain data pipelines within the Azure-based data platform;
- Work with the Databricks ecosystem (Delta Tables, Unity Catalog, notebooks) to process and manage data;
- Build and optimize data transformations using Python and SQL;
- Develop and support AI-driven data pipelines and automation using Databricks (Mosaic AI or similar tools);
- Support and enhance existing production data systems;
- Collaborate with a team of engineers on Databricks-based solutions;
- Ensure data quality, consistency, and reliability across data pipelines;
Job Requirements
- 3+ years of experience as a Data Engineer;
- Strong experience with Databricks ecosystem (Architecture, Unity Catalog, Delta tables, lineage, permissions, Databricks Genie, notebooks);
- Strong experience with Python;
- Solid proficiency in SQL;
- Experience working in Azure cloud environment;
- Experience with Databricks pipelines AI automation (Mosaic AI or AWS Agentcore);
Nice To Have
- Experience with Azure data integration tools (Synapse Pipelines, Azure Data Factory);
- Experience with Azure SQL pools;
- Understanding of performance tuning for data workloads;
- Experience with CI/CD, DevOps practices, Infrastructure as Code (IaC);
What Do We Offer
The global benefits package includes:
- Technical and non-technical training for professional and personal growth;
- Internal conferences and meetups to learn from industry experts;
- Support and mentorship from an experienced employee to help you professional grow and development;
- Health insurance;
- English courses;
- Sports activities to promote a healthy lifestyle;
- Flexible work options, including remote and hybrid opportunities;
- Referral program for bringing in new talent;
- Work anniversary program and additional vacation days.
Ready to apply?
Apply to Coherent Solutions
Database Administrator (TravelTech)
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Company Background
Our client is an award-winning travel company that connects travelers with a nationwide network of independent travel advisors. The company combines innovative technology, personalized service, and strong supplier partnerships to deliver customized vacation experiences across cruises, resorts, tours, and more.
Project Description
The project focuses on rebuilding a proprietary agent-facing travel platform from the ground up using a modern, cloud-native architecture on Microsoft Azure. The new platform aims to improve performance, scalability, and usability while enabling faster feature delivery and seamless integrations. A key part of the initiative is migrating data from legacy systems to a new PostgreSQL-based architecture and ensuring high availability, security, and performance of critical data systems.
Technologies
- PostgreSQL
- Microsoft Azure
- SQL
- High Availability (Failover, Replication, Backup/Recovery)
- Database Security & Encryption
- CI/CD & DevOps
What You'll Do
- Administer and maintain Azure-managed PostgreSQL databases across environments
- Design scalable and efficient database schemas and architectures
- Monitor and optimize database performance (queries, indexing, execution plans)
- Implement and maintain backup and disaster recovery strategies
- Ensure database security, access control, and compliance
- Plan and execute data migrations from legacy systems
- Write and optimize complex SQL queries, procedures, and functions
- Collaborate with development teams on database design and query optimization
- Automate routine DBA tasks using scripting tools
- Troubleshoot and resolve database issues
- Maintain documentation (data models, ER diagrams, data dictionaries)
- Participate in on-call rotation
Job Requirements
- 5-8 years of experience as a Database Administrator
- Strong experience with PostgreSQL, including Azure-managed environments
- Expert-level SQL skills and query optimization
- Experience with high availability and disaster recovery solutions
- Strong experience with performance tuning and indexing strategies
- Understanding of database security, encryption, and compliance
- Experience with data migration from legacy systems
- Familiarity with database monitoring and performance tools
- Strong analytical and problem-solving skills
- Excellent communication skills
- Ability to work in a greenfield environment
- Strong experience in schema design
- English level: B1 (Intermediate) or higher
What Do We Offer
The global benefits package includes:
- Technical and non-technical training for professional and personal growth;
- Internal conferences and meetups to learn from industry experts;
- Support and mentorship from an experienced employee to help you professional grow and development;
- Health insurance;
- English courses;
- Sports activities to promote a healthy lifestyle;
- Flexible work options, including remote and hybrid opportunities;
- Referral program for bringing in new talent;
- Work anniversary program and additional vacation days.
Ready to apply?
Apply to Coherent Solutions
Data Engineer (Digital Engineering)
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Company Background
Our client is a leading life insurance company, part of a global financial services group. The company offers a wide range of products, including annuities and life insurance, delivered through a large nationwide network of agents.
Project Description
The project focuses on a production system managing clients and life insurance programs. The role involves both support and new feature development, with a strong emphasis on building and optimizing data pipelines and working within a modern Azure-based data platform.
Technologies
- Azure
- Databricks (Architecture, Unity Catalog, Delta, Lineage, Permissions, Databricks Genie, Notebooks)
- Synapse (Pipelines)
- Azure SQL pools
- Python
- SQL
- Performance tuning
What You'll Do
- Develop and maintain data pipelines in the Azure environment;
- Work with Azure SQL Pools for data storage and processing;
- Write and optimize SQL queries;
- Perform performance tuning for queries and data workflows;
- Collaborate with a team of engineers on Databricks-based solutions;
- Build and orchestrate data workflows using Synapse Pipelines / Azure Data Factory;
- Ensure reliability and consistency of data pipelines;
Job Requirements
- 3+ years of experience as a Data Engineer;
- Solid proficiency in SQL;
- Experience working in Azure cloud environment;
- Experience with Azure SQL Pools;
- Strong understanding of performance tuning for data workloads;
- Experience working in Azure cloud environment;
- Excellent communication skills;
- English level: B2 (Upper-Intermediate) or higher;
Nice To Have
- Experience with Azure data integration tools (Synapse Pipelines, Azure Data Factory);
- Experience with Python;
- Experience with Databricks ecosystem (architecture, Unity Catalog, Delta tables, notebooks, lineage, permissions);
- Experience with CI/CD, DevOps practices, Infrastructure as Code (IaC);
- Familiarity with Databricks Asset Bundles;
What Do We Offer
The global benefits package includes:
- Technical and non-technical training for professional and personal growth;
- Internal conferences and meetups to learn from industry experts;
- Support and mentorship from an experienced employee to help you professional grow and development;
- Health insurance;
- English courses;
- Sports activities to promote a healthy lifestyle;
- Flexible work options, including remote and hybrid opportunities;
- Referral program for bringing in new talent;
- Work anniversary program and additional vacation days.
Ready to apply?
Apply to Coherent Solutions
Data Architect (Azure, Lakehouse)
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Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
Project Duration
4-month engagement with the possibility of extension
Project Tech Stack
Databricks, Microsoft Azure, Medallion Architecture, Star Schema / Dimensional Modelling, Fact & Dimension tables, Databricks SQL, T-SQL, Python, Azure DevOps CI/CD, Git-based deployment pipelines
What You’ll Do
- Rapidly review and understand the original Statement of Work, change requests, and any pre-existing contractual dependencies
- Audit the current state of the Databricks environment: what has been built, its quality, and its alignment to the agreed design
- Identify root causes for delivery gaps — distinguishing between client-side blockers, scope ambiguity, and engineering shortfalls
- Assess the medallion architecture (Bronze / Silver / Gold) and the ADF pipeline design against best practice and the client's requirements
- Review all outstanding work items (including dependent database views, gold views, ingestion, test framework, and UAT artefacts) and produce a clear, honest picture of the remaining effort
- Validate and, where necessary, correct or redesign the existing solution architecture to ensure it is fit for purpose, scalable, and maintainable
- Own the technical design for all remaining deliverables: ADF pipelines, Databricks SQL views, medallion layers, Unity Catalog, and CI/CD deployment via Azure DevOps
- Ensure architectural decisions are documented clearly and are explainable to both technical and non-technical client stakeholders
- Define the reconciliation and testing framework for view validation against SQL Server source systems
- Lead and execute the engineering delivery of all remaining scope, including: porting SQL Server views to Databricks SQL, building and validating ADF pipelines (batch ingestion), implementing gold-layer dimensional models and analytic views, deploying via Azure DevOps CI/CD pipelines (Test and Production environments)
- Produce high-quality, well-documented, maintainable code — not quick fixes
- Execute or oversee the reconciliation framework to prove view correctness against source systems
- Manage dependencies on the client (CDC enablement, SQL account provisioning, UAT availability) and escalate blockers promptly to the Engagement Lead
- Produce a realistic, structured delivery plan covering all remaining scope, with clear milestones, dependencies, and acceptance criteria
- Support the Engagement Lead in presenting the recovery plan to the client for sign-off
- Attend client-facing working sessions as the technical authority — you must be credible and confident communicating with both IT and commercial stakeholders
- Support the delivery management function with regular, accurate progress reporting
What You Bring
- Expert-level proficiency in Azure Data Factory: pipeline design, linked services, integration runtimes (including Self-Hosted IR), incremental load patterns, and CDC
- Strong command of Azure Data Lake Storage Gen2, Unity Catalog, and Azure networking fundamentals relevant to data platform connectivity (VNets, Private Endpoints)
- Hands-on experience with Azure DevOps for CI/CD pipeline construction covering Databricks and ADF deployment across Dev / Test / Prod environments
- Familiarity with Microsoft Purview for data governance and lineage (desirable)
- Deep, hands-on Databricks experience — this is not a theoretical understanding; you must have delivered real solutions on the platform
- Expertise in Databricks SQL, Delta Lake, and the medallion architecture (Bronze / Silver / Gold)
- Ability to design and implement performant Databricks SQL views at scale, including complex join patterns, cross-database references, and performance validation
- Experience with Unity Catalog configuration and RBAC
- Familiarity with Databricks Lakeflow (desirable)
- Strong T-SQL / SQL Server background — you will be porting SQL Server views and need to understand source system data structures across OLTP and analytical databases
- Proven ability to design and implement fact/dimension tables, staging tables, and analytic models in a lakehouse context
- Experience building and running reconciliation frameworks to validate migrated data against source systems
- Solid Python skills for pipeline logic, test scripting, and utility development
- Demonstrated experience designing greenfield modern data platforms — you must be able to evidence solutions you have architected from scratch
- Demonstrated experience leading modernisation or transformation of brownfield data environments — migrating legacy reporting layers, rationalising fragmented data estates, or re-platforming to cloud-native architectures
- Ability to produce clear, concise architecture artefacts: solution design documents, data flow diagrams, entity models, and deployment architecture
- Sound understanding of data modelling — conceptual, logical, and physical — in the context of Lakehouse and dimensional design
- Proven ability to operate in a consulting or client-facing environment: credible, articulate, and capable of managing expectations under pressure
- Experience producing and owning delivery plans — not just contributing to them
- Comfortable working in a recovery or turnaround context, where rapid assessment and honest communication are more important than defending prior decisions
- Experience working under an engagement lead / principal and operating with a high degree of autonomy within that structure
English level
Upper-Intermediate
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel
DevOps Engineer (RPA sphere)
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Company Background
Our client is the market leader in contact center robotic process automation (RPA). Its patented platform automates manual management processes in contact centers, helping enterprises reduce costs while improving agent engagement and customer experience. The platform powers over 1 billion automated actions annually and has delivered significant measurable ROI across industries such as financial services, telecommunications, insurance, and healthcare.
Project Description
The project focuses on deploying and managing a multi-tenant, namespace-isolated Kubernetes platform in a hosted AWS environment. You will design and implement secure, scalable tenant environments, automate deployments using GitOps, and ensure infrastructure reliability and compliance.
Technologies
- Kubernetes, Helm, Kustomize, GitOps (Argo CD, Flux), OpenTofu
- AWS (RDS, S3, KMS, IAM, Secrets Manager)
- NiFi, MariaDB, Flink, Dremio
- OpenTelemetry, Grafana, Jaeger/Tempo, ELK/Loki
- Service Mesh (Linkerd, Istio), OPA
- Bash, Python, PowerShell
What You'll Do
- Design and implement namespace-isolated tenant environments within shared Kubernetes clusters;
- Develop and maintain Helm charts with tenant-specific configurations;
- Build and manage GitOps-based CI/CD pipelines for per-tenant deployments;
- Integrate tenant workloads with backend systems (RDS/MariaDB, Flink, Dremio, S3);
- Implement compute isolation (node affinity, taints, tolerations);
- Apply security controls (RBAC, NetworkPolicies, OPA, service mesh);
- Ensure observability and monitoring using OpenTelemetry, Grafana, and centralized logging;
- Support secure deployment automation and rollback strategies;
- Collaborate with architecture and security teams on compliance validation;
- Participate in backend readiness efforts and transition from NiFi to microservices;
Job Requirements
- 5+ years of experience in DevOps, cloud infrastructure, or platform engineering;
- Strong hands-on experience with Kubernetes, including multi-tenant architecture and namespace management;
- Proficiency with Helm, Kustomize, and GitOps tools (Argo CD, Flux);
- Hands-on experience with AWS services (RDS, S3, IAM, KMS, Secrets Manager);
- Experience implementing secure CI/CD pipelines;
- Familiarity with backend/data systems (Flink, Dremio, MariaDB);
- Experience with NiFi (process groups, permissions, variable registries);
- Understanding of service mesh technologies and policy enforcement (OPA);
- Scripting experience (Bash, Python, PowerShell);
- Strong analytical and troubleshooting skills;
- Ability to work independently in fast-paced environments;
- Excellent collaboration and communication skills;
- English level: B2 or higher;
What Do We Offer
The global benefits package includes:
- Technical and non-technical training for professional and personal growth;
- Internal conferences and meetups to learn from industry experts;
- Support and mentorship from an experienced employee to help you professional grow and development;
- Health insurance;
- English courses;
- Sports activities to promote a healthy lifestyle;
- Flexible work options, including remote and hybrid opportunities;
- Referral program for bringing in new talent;
- Work anniversary program and additional vacation days.
Ready to apply?
Apply to Coherent Solutions
Data Engineer (Databricks)
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Project Description
We are looking for an experienced Data Engineer with deep expertise in Databricks to join our advanced analytics and data engineering team. The ideal candidate will play a key role in designing, building, and optimizing large-scale data solutions on the Databricks platform, supporting business intelligence, advanced analytics, and machine learning initiatives. You will collaborate with cross-functional teams to deliver robust, scalable, and high-performance data pipelines and architectures.
Technologies
- Databricks (including Spark, Delta Lake, MLflow)
- Python/Scala
- SQL
- ETL concepts
- Distributed data processing
- Data warehousing
- Cloud Platforms & Storage
What You'll Do
- Lead the design, development, and deployment of scalable data pipelines and ETL processes using Databricks (Spark, Delta Lake, MLflow);
- Architect and implement data lakehouse solutions, ensuring data quality, governance, and security;
- Optimize data workflows for performance and cost efficiency on Databricks and cloud platforms (Azure, AWS, or GCP);
- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver actionable insights;
- Mentor and guide junior engineers, promoting best practices in data engineering and Databricks usage;
- Develop and maintain documentation, data models, and technical standards;
- Monitor, troubleshoot, and resolve issues in production data pipelines and environments;
- Stay current with emerging trends and technologies in data engineering and Databricks ecosystem;
Job Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field;
- 5+ years of experience in data engineering, with at least 2 years of hands-on experience with Databricks (including Spark, Delta Lake, and MLflow);
- Strong proficiency in Python and/or Scala for data processing;
- Deep understanding of distributed data processing, data warehousing, and ETL concepts;
- Experience with cloud data platforms (Azure Data Lake, AWS S3, or Google Cloud Storage);
- Solid knowledge of SQL and experience with large-scale relational and NoSQL databases;
- Familiarity with CI/CD, DevOps, and infrastructure-as-code practices for data engineering;
- Experience with data governance, security, and compliance in cloud environments;
- Excellent problem-solving, communication, and leadership skills;
- English: Upper Intermediate level or higher;
What Do We Offer
The global benefits package includes:
- Technical and non-technical training for professional and personal growth;
- Internal conferences and meetups to learn from industry experts;
- Support and mentorship from an experienced employee to help you professional grow and development;
- Health insurance;
- English courses;
- Sports activities to promote a healthy lifestyle;
- Flexible work options, including remote and hybrid opportunities;
- Referral program for bringing in new talent;
- Work anniversary program and additional vacation days.
Sep 25, 2025 12:50
Ready to apply?
Apply to Coherent Solutions
Data Architect (Azure, Lakehouse)
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Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
Project Duration
4-month engagement with the possibility of extension
Project Tech Stack
Databricks, Microsoft Azure, Medallion Architecture, Star Schema / Dimensional Modelling, Fact & Dimension tables, Databricks SQL, T-SQL, Python, Azure DevOps CI/CD, Git-based deployment pipelines
What You’ll Do
- Rapidly review and understand the original Statement of Work, change requests, and any pre-existing contractual dependencies
- Audit the current state of the Databricks environment: what has been built, its quality, and its alignment to the agreed design
- Identify root causes for delivery gaps — distinguishing between client-side blockers, scope ambiguity, and engineering shortfalls
- Assess the medallion architecture (Bronze / Silver / Gold) and the ADF pipeline design against best practice and the client's requirements
- Review all outstanding work items (including dependent database views, gold views, ingestion, test framework, and UAT artefacts) and produce a clear, honest picture of the remaining effort
- Validate and, where necessary, correct or redesign the existing solution architecture to ensure it is fit for purpose, scalable, and maintainable
- Own the technical design for all remaining deliverables: ADF pipelines, Databricks SQL views, medallion layers, Unity Catalog, and CI/CD deployment via Azure DevOps
- Ensure architectural decisions are documented clearly and are explainable to both technical and non-technical client stakeholders
- Define the reconciliation and testing framework for view validation against SQL Server source systems
- Lead and execute the engineering delivery of all remaining scope, including: porting SQL Server views to Databricks SQL, building and validating ADF pipelines (batch ingestion), implementing gold-layer dimensional models and analytic views, deploying via Azure DevOps CI/CD pipelines (Test and Production environments)
- Produce high-quality, well-documented, maintainable code — not quick fixes
- Execute or oversee the reconciliation framework to prove view correctness against source systems
- Manage dependencies on the client (CDC enablement, SQL account provisioning, UAT availability) and escalate blockers promptly to the Engagement Lead
- Produce a realistic, structured delivery plan covering all remaining scope, with clear milestones, dependencies, and acceptance criteria
- Support the Engagement Lead in presenting the recovery plan to the client for sign-off
- Attend client-facing working sessions as the technical authority — you must be credible and confident communicating with both IT and commercial stakeholders
- Support the delivery management function with regular, accurate progress reporting
What You Bring
- Expert-level proficiency in Azure Data Factory: pipeline design, linked services, integration runtimes (including Self-Hosted IR), incremental load patterns, and CDC
- Strong command of Azure Data Lake Storage Gen2, Unity Catalog, and Azure networking fundamentals relevant to data platform connectivity (VNets, Private Endpoints)
- Hands-on experience with Azure DevOps for CI/CD pipeline construction covering Databricks and ADF deployment across Dev / Test / Prod environments
- Familiarity with Microsoft Purview for data governance and lineage (desirable)
- Deep, hands-on Databricks experience — this is not a theoretical understanding; you must have delivered real solutions on the platform
- Expertise in Databricks SQL, Delta Lake, and the medallion architecture (Bronze / Silver / Gold)
- Ability to design and implement performant Databricks SQL views at scale, including complex join patterns, cross-database references, and performance validation
- Experience with Unity Catalog configuration and RBAC
- Familiarity with Databricks Lakeflow (desirable)
- Strong T-SQL / SQL Server background — you will be porting SQL Server views and need to understand source system data structures across OLTP and analytical databases
- Proven ability to design and implement fact/dimension tables, staging tables, and analytic models in a lakehouse context
- Experience building and running reconciliation frameworks to validate migrated data against source systems
- Solid Python skills for pipeline logic, test scripting, and utility development
- Demonstrated experience designing greenfield modern data platforms — you must be able to evidence solutions you have architected from scratch
- Demonstrated experience leading modernisation or transformation of brownfield data environments — migrating legacy reporting layers, rationalising fragmented data estates, or re-platforming to cloud-native architectures
- Ability to produce clear, concise architecture artefacts: solution design documents, data flow diagrams, entity models, and deployment architecture
- Sound understanding of data modelling — conceptual, logical, and physical — in the context of Lakehouse and dimensional design
- Proven ability to operate in a consulting or client-facing environment: credible, articulate, and capable of managing expectations under pressure
- Experience producing and owning delivery plans — not just contributing to them
- Comfortable working in a recovery or turnaround context, where rapid assessment and honest communication are more important than defending prior decisions
- Experience working under an engagement lead / principal and operating with a high degree of autonomy within that structure
English level
Upper-Intermediate
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel
Data Architect (Azure, Lakehouse)
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Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
Project Duration
4-month engagement with the possibility of extension
Project Tech Stack
Databricks, Microsoft Azure, Medallion Architecture, Star Schema / Dimensional Modelling, Fact & Dimension tables, Databricks SQL, T-SQL, Python, Azure DevOps CI/CD, Git-based deployment pipelines
What You’ll Do
- Rapidly review and understand the original Statement of Work, change requests, and any pre-existing contractual dependencies
- Audit the current state of the Databricks environment: what has been built, its quality, and its alignment to the agreed design
- Identify root causes for delivery gaps — distinguishing between client-side blockers, scope ambiguity, and engineering shortfalls
- Assess the medallion architecture (Bronze / Silver / Gold) and the ADF pipeline design against best practice and the client's requirements
- Review all outstanding work items (including dependent database views, gold views, ingestion, test framework, and UAT artefacts) and produce a clear, honest picture of the remaining effort
- Validate and, where necessary, correct or redesign the existing solution architecture to ensure it is fit for purpose, scalable, and maintainable
- Own the technical design for all remaining deliverables: ADF pipelines, Databricks SQL views, medallion layers, Unity Catalog, and CI/CD deployment via Azure DevOps
- Ensure architectural decisions are documented clearly and are explainable to both technical and non-technical client stakeholders
- Define the reconciliation and testing framework for view validation against SQL Server source systems
- Lead and execute the engineering delivery of all remaining scope, including: porting SQL Server views to Databricks SQL, building and validating ADF pipelines (batch ingestion), implementing gold-layer dimensional models and analytic views, deploying via Azure DevOps CI/CD pipelines (Test and Production environments)
- Produce high-quality, well-documented, maintainable code — not quick fixes
- Execute or oversee the reconciliation framework to prove view correctness against source systems
- Manage dependencies on the client (CDC enablement, SQL account provisioning, UAT availability) and escalate blockers promptly to the Engagement Lead
- Produce a realistic, structured delivery plan covering all remaining scope, with clear milestones, dependencies, and acceptance criteria
- Support the Engagement Lead in presenting the recovery plan to the client for sign-off
- Attend client-facing working sessions as the technical authority — you must be credible and confident communicating with both IT and commercial stakeholders
- Support the delivery management function with regular, accurate progress reporting
What You Bring
- Expert-level proficiency in Azure Data Factory: pipeline design, linked services, integration runtimes (including Self-Hosted IR), incremental load patterns, and CDC
- Strong command of Azure Data Lake Storage Gen2, Unity Catalog, and Azure networking fundamentals relevant to data platform connectivity (VNets, Private Endpoints)
- Hands-on experience with Azure DevOps for CI/CD pipeline construction covering Databricks and ADF deployment across Dev / Test / Prod environments
- Familiarity with Microsoft Purview for data governance and lineage (desirable)
- Deep, hands-on Databricks experience — this is not a theoretical understanding; you must have delivered real solutions on the platform
- Expertise in Databricks SQL, Delta Lake, and the medallion architecture (Bronze / Silver / Gold)
- Ability to design and implement performant Databricks SQL views at scale, including complex join patterns, cross-database references, and performance validation
- Experience with Unity Catalog configuration and RBAC
- Familiarity with Databricks Lakeflow (desirable)
- Strong T-SQL / SQL Server background — you will be porting SQL Server views and need to understand source system data structures across OLTP and analytical databases
- Proven ability to design and implement fact/dimension tables, staging tables, and analytic models in a lakehouse context
- Experience building and running reconciliation frameworks to validate migrated data against source systems
- Solid Python skills for pipeline logic, test scripting, and utility development
- Demonstrated experience designing greenfield modern data platforms — you must be able to evidence solutions you have architected from scratch
- Demonstrated experience leading modernisation or transformation of brownfield data environments — migrating legacy reporting layers, rationalising fragmented data estates, or re-platforming to cloud-native architectures
- Ability to produce clear, concise architecture artefacts: solution design documents, data flow diagrams, entity models, and deployment architecture
- Sound understanding of data modelling — conceptual, logical, and physical — in the context of Lakehouse and dimensional design
- Proven ability to operate in a consulting or client-facing environment: credible, articulate, and capable of managing expectations under pressure
- Experience producing and owning delivery plans — not just contributing to them
- Comfortable working in a recovery or turnaround context, where rapid assessment and honest communication are more important than defending prior decisions
- Experience working under an engagement lead / principal and operating with a high degree of autonomy within that structure
English level
Upper-Intermediate
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel Inc (Website)
Senior Software Engineer
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Why Cast AI?
Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.
The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.
Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.
Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead.
Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.
Join us as we build the future of autonomous infrastructure.
This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, and Ukraine.
We are hiring across multiple teams!
As a Senior Software Engineer, you will have the opportunity to work on different key features of our product. We are currently hiring Senior Software Engineers for the following teams:
- Workload Optimization - Automates workload resource management by dynamically adjusting resource allocations, helping developers significantly reduce costs and improve application reliability.
- Karpenter - The Karpenter team powers the integration between Karpenter and Cast AI, bringing enterprise capabilities to the most popular open source Kubernetes autoscaler. We enhance Karpenter with advanced features that improve application reliability and performance while optimizing costs. By joining the team, you’ll bridge open source innovation with enterprise requirements, directly impacting how organizations run Karpenter at scale.
- Reporting - Builds a scalable reporting system that ingests millions of rows per second into our time-series databases, providing insights into cost savings, workload efficiencies, and Cast AI automation impact.
- Pricing - Drives the synchronization of public and customer cloud resources, availability, and dynamic pricing across all major cloud providers. Empowers autoscaling by leveraging discounts, commitments, and cross-cluster tracking to maximize savings. Provides a reliable source of truth for node pricing, resources, components, discounts, and commitments.
- Autoscaler - Automates Kubernetes node autoscaling to optimize clusters, balance workloads, remove underutilized nodes, and dynamically allocate capacity in real-time, thereby reducing cluster costs by half.
- Identity - Builds and maintains the trust and access foundation for the entire platform, ensuring every user, service, and workload authenticates and interacts securely and seamlessly at scale.
- Billy - Powers the critical day-2 operations layer of the platform - from billing and audit trails to notifications and feature flags - ensuring the platform runs reliably, transparently, and at scale for every customer, every day.
Here are some of the tools we use daily:
- Programming Languages: Go
- Cloud & Orchestration: Kubernetes, AWS, GCP, Azure
- Databases & Storage: PostgreSQL, Cloud Object Storage
- Messaging & APIs: GCP Pub/Sub, gRPC for internal communication, REST for public APIs
- Observability: Prometheus, Grafana, Loki, Tempo
- CI/CD & GitOps: GitLab CI with ArgoCD.
Requirements:
- Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language.
- Deep hands-on experience with cloud platforms (AWS, GCP, or Azure) - including real understanding of how compute, networking, and storage work under the hood.
- Understanding of Kubernetes internals - autoscaling and networking.
- You've personally driven a complex project end-to-end.
- Strong debugging, optimization, and performance-tuning skills - including query profiling, index design, and database performance tuning beyond ORM usage.
- You've run observability tooling (Prometheus, Grafana, OpenTelemetry) in production.
- CI/CD and DevOps practices experience.
- Strong English skills, both verbal and written.
- Startup mindset: adaptable, proactive, and comfortable with ambiguity.
Responsibilities:
- Design and build distributed systems that operate Kubernetes infrastructure autonomously at scale.
- Write production Go services that interact with AWS, GCP, and Azure APIs for real-time cloud resource management.
- Own features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1-4 weeks).
- Debug complex production issues across cloud providers, Kubernetes clusters, and distributed services.
- Collaborate with product and other engineering teams to solve problems that don't have textbook solutions.
- Work with time-series data, cloud provider APIs, and Kubernetes control plane internals.
What’s in it for you?
- Competitive salary (€6,500 - €9,000 gross, depending on the level of experience)
- Enjoy a flexible, remote-first global environment.
- Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
- Equity options.
- Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
- Spend 10% of your work time on personal projects or self-improvement.
- Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
- Annual hackathon to spark new ideas and strengthen team bonds.
- Team-building budget and company events to connect with your colleagues.
- Equipment budget to ensure you have everything you need.
- Extra days off to help maintain a healthy work-life balance.
Hiring process
- Screening call with Recruiter
- Hiring Manager interview
- Technical interview (system design)
- Live coding
- Culture Check interview with an executive
*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI does not provide any form of visa sponsorship/work permit.
#LI-Remote
Ready to apply?
Apply to Cast AI
Senior Full Stack Developer (Java/Scala)
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About Digital.ai
Digital.ai is the only AI-powered software delivery platform purpose-built for the enterprise, enabling the world’s largest organizations to build, test, secure, and deliver high-quality software. By unifying AI-driven insights, automation, and security across the software development lifecycle, Digital.ai empowers enterprises to deliver innovation with confidence. Trusted by 5,000 global enterprises, Digital.ai is redefining how enterprises build better software in an AI-driven world. Additional information about Digital.ai can be found at digital.ai and on Twitter, LinkedIn, and YouTube.
About the Job:
You will be the technical lead within our release orchestration and deployment product development teams. You will build upon our software stack that is being run by numerous Fortune 5000 companies in the world to streamline their DevOps processes at scale. We are looking for owners, people that can pick up a something from a range of topics and become experts, producing a quality solution that will last, and leaders, that can encourage team members with their work and personality to produce the best solutions. The position is full-stack, but with backend affinity – passionate about architecture, performance and scalability.
What you will do:
- Serve as the Technical Lead for our Release Orchestration product development teams.
- Own your space and pick up a range of topics to become an expert and produce a quality solution that will last.
- Lead by example with your work expertise and inspire your team with your personality to produce the best solutions.
What you will bring:
- Located in Lithuania. Candidates outside Vilnius will be considered for a hybrid work schedule, coming to office occasionally as needed.
- Bachelors degree and professional experience crafting enterprise softwareValidated experience in application/product development using a broad range of programming technologies including:
- At least 5 years of experience developing full-stack applications
- Excellent knowledge of object-oriented programming in Java and Scala languages
- Experience with Spring, Akka, ORMs, and SQL databases
- Excellent testing skills with JUnit and ScalaTest
- Solid understanding of DevOps tools and practices, including CI/CD pipelines (GitLab, GitHub Actions), containerization (Docker, Kubernetes), and cloud platforms (AWS, Azure, GCP).
- Practical experience with Go or Kubernetes, cloud platform APIs is a great plus.
- Willingness to share knowledge and mentor team members to support their growth and development
- Growth mindset, continually seeking feedback on ways to improve yourself and the team
- Familiarity with React, TypeScript, JavaScript, and associated tooling
- Understanding of software design and architecture principles to develop maintainable enterprise applications
- Phenomenal written and spoken English skills
For this position we offer a gross salary of 5,200 - 6,250 EUR/month depending on the level of experience.
Why is Digital.ai a great place to be?
Digital.ai offers great benefits including:
- Opportunity to work in an international company
- Outstanding and exciting challenges
- Cash long term incentive plan
- Private health insurance
- Employee referral program
- Free access to O'Reilly
- Informal work environment and flexible working hours
- Additional days off
- Team building and other unifying events
- Team meals and snacks in the office
- Food delivery voucher
- Office parking
At Digital.ai, we believe in fostering a culture of pay transparency. We are committed to providing our employees with fair and competitive compensation. The current salary for this specific job is estimated to be €62,500 - €70,000 pus bonus. Please note that final compensation will be determined based on factors such as qualifications, experience, and internal equity. We value transparency and aim to create an inclusive and equitable workplace for all our employees. Certain positions at Digital.ai might also be eligible for additional compensation in the form of bonuses, or other employee benefits which are separate from the base salary and to be defined at offer stage.
All are welcome to apply. We maintain compliance with federal, state, and local laws that prohibit employment discrimination on the basis of age, race, color, gender, identity, gender expression, sex, pregnancy, national origin, ancestry, religion, physical or mental ability, medical condition, sexual orientation, marital status, citizenship status, protected military or veteran status, and all other protected classifications. We welcome everyone and believe that diversity is the foundation of innovation.
For individuals with disabilities who would like to request accommodation, please advise us within your job application or cover letter.
FRAUD PREVENTION ALERT: please note that Digital.ai does not use third party recruiters. In our efforts to protect you against impersonation please check the email address or if you are contacted by an unfamiliar/third party requesting please reach out directly to Digital.ai.
Ready to apply?
Apply to Digital.ai
Senior Site Reliability Engineer (DevOps, Java)
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Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
The company has been building solutions for mobile apps, effortless payment, business travel, and advertising since 1992. The customer is developing a mobility platform that allows operators to manage their vehicles and drivers efficiently, regulators to be informed and establish guidelines, service providers to deliver sustainable solutions, and riders to have an effortless transit experience.
Project Team
The project is a taxi ordering service and it contains the following components:
- Ride server (all data processing)
- Payment server (PCI DSS-compliant), which performs a transaction with the passenger's digital wallet and payment gateways
- Mobile application (hail taxi, geocoding, map, payments)
- Taxi terminal (3rd party)
The project integrates with 3rd party services, including PayPal, MasterPass, Stripe, and Twilio.
The team itself consists of 1 Team Lead, 1 UI Developers, 6 Back-End Developers, 9 Mobile Developers, 5 QA, 2 BA and 2 Designer.
What You’ll Do
- Design, build, and operate reliable, scalable distributed systems
- Improve system availability, performance, and resilience
- Automate infrastructure, deployments, and operational processes
- Diagnose and resolve production issues
- Lead upgrades and migrations with minimal or zero downtime
- Participate in on-call rotations and incident response
- Collaborate closely with development teams to improve operability
- Drive best practices around monitoring, alerting, and capacity planning
- Reduce operational toil through automation
- Contribute to incident management, post-mortems, disaster recovery strategies, and continuous reliability improvements
What You Bring
- 7+ years of experience, specializing in Kubernetes and AWS
- Strong programming skills in Java, with willingness to learn Ruby
- Solid understanding of concurrency, runtime behavior, and performance optimization
- Hands-on experience with Docker and containerized workloads
- Strong Kubernetes expertise (Deployments, StatefulSets, Services, Ingress, Helm, troubleshooting, autoscaling)
- Strong AWS experience (EC2, EKS, RDS, S3, IAM, VPC, Load Balancers, CloudWatch)
- Experience designing infrastructure for high availability and disaster recovery
- Experience with CI/CD pipelines and Infrastructure as Code (Terraform, CloudFormation, Pulumi, or similar
- Experience with RabbitMQ or similar messaging systems (Kafka, SQS, Pulsar, etc.
- Strong understanding of relational databases (MySQL/PostgreSQL), including query optimization, replication, and failover strategies
- Familiarity with NoSQL and in-memory databases (Redis, DynamoDB, MongoDB)
- Experience with distributed systems, microservices, capacity planning, and fault tolerance
- Experience with monitoring and observability tools (Prometheus, Grafana, Datadog, ELK/OpenSearch, OpenTelemetry)
- Strong understanding of Linux systems and networking fundamentals (TCP/IP, DNS, HTTP/HTTPS, TLS, load balancing)
- Experience with SRE practices, including SLOs/SLIs/SLAs, load testing, resilience testing, and incident management
- Strong communication skills and ability to collaborate across engineering teams
- Calm and effective during incidents with an ownership mindset
Nice to Have
- Experience operating production systems written in Ruby, Java, or other major platforms
- Framework experience such as Ruby on Rails, Spring Boot, or similar
- Experience operating high-traffic SaaS platforms
- Cost optimization in cloud environments
- Chaos engineering practices
- Experience mentoring junior engineers
English level
Upper-Intermediate
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel
Senior Site Reliability Engineer (DevOps, Java)
Share this job
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
The company has been building solutions for mobile apps, effortless payment, business travel, and advertising since 1992. The customer is developing a mobility platform that allows operators to manage their vehicles and drivers efficiently, regulators to be informed and establish guidelines, service providers to deliver sustainable solutions, and riders to have an effortless transit experience.
Project Team
The project is a taxi ordering service and it contains the following components:
- Ride server (all data processing)
- Payment server (PCI DSS-compliant), which performs a transaction with the passenger's digital wallet and payment gateways
- Mobile application (hail taxi, geocoding, map, payments)
- Taxi terminal (3rd party)
The project integrates with 3rd party services, including PayPal, MasterPass, Stripe, and Twilio.
The team itself consists of 1 Team Lead, 1 UI Developers, 6 Back-End Developers, 9 Mobile Developers, 5 QA, 2 BA and 2 Designer.
What You’ll Do
- Design, build, and operate reliable, scalable distributed systems
- Improve system availability, performance, and resilience
- Automate infrastructure, deployments, and operational processes
- Diagnose and resolve production issues
- Lead upgrades and migrations with minimal or zero downtime
- Participate in on-call rotations and incident response
- Collaborate closely with development teams to improve operability
- Drive best practices around monitoring, alerting, and capacity planning
- Reduce operational toil through automation
- Contribute to incident management, post-mortems, disaster recovery strategies, and continuous reliability improvements
What You Bring
- 7+ years of experience, specializing in Kubernetes and AWS
- Strong programming skills in Java, with willingness to learn Ruby
- Solid understanding of concurrency, runtime behavior, and performance optimization
- Hands-on experience with Docker and containerized workloads
- Strong Kubernetes expertise (Deployments, StatefulSets, Services, Ingress, Helm, troubleshooting, autoscaling)
- Strong AWS experience (EC2, EKS, RDS, S3, IAM, VPC, Load Balancers, CloudWatch)
- Experience designing infrastructure for high availability and disaster recovery
- Experience with CI/CD pipelines and Infrastructure as Code (Terraform, CloudFormation, Pulumi, or similar
- Experience with RabbitMQ or similar messaging systems (Kafka, SQS, Pulsar, etc.
- Strong understanding of relational databases (MySQL/PostgreSQL), including query optimization, replication, and failover strategies
- Familiarity with NoSQL and in-memory databases (Redis, DynamoDB, MongoDB)
- Experience with distributed systems, microservices, capacity planning, and fault tolerance
- Experience with monitoring and observability tools (Prometheus, Grafana, Datadog, ELK/OpenSearch, OpenTelemetry)
- Strong understanding of Linux systems and networking fundamentals (TCP/IP, DNS, HTTP/HTTPS, TLS, load balancing)
- Experience with SRE practices, including SLOs/SLIs/SLAs, load testing, resilience testing, and incident management
- Strong communication skills and ability to collaborate across engineering teams
- Calm and effective during incidents with an ownership mindset
Nice to Have
- Experience operating production systems written in Ruby, Java, or other major platforms
- Framework experience such as Ruby on Rails, Spring Boot, or similar
- Experience operating high-traffic SaaS platforms
- Cost optimization in cloud environments
- Chaos engineering practices
- Experience mentoring junior engineers
English level
Upper-Intermediate
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel
Senior Site Reliability Engineer (DevOps, Java)
Share this job
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
The company has been building solutions for mobile apps, effortless payment, business travel, and advertising since 1992. The customer is developing a mobility platform that allows operators to manage their vehicles and drivers efficiently, regulators to be informed and establish guidelines, service providers to deliver sustainable solutions, and riders to have an effortless transit experience.
Project Team
The project is a taxi ordering service and it contains the following components:
- Ride server (all data processing)
- Payment server (PCI DSS-compliant), which performs a transaction with the passenger's digital wallet and payment gateways
- Mobile application (hail taxi, geocoding, map, payments)
- Taxi terminal (3rd party)
The project integrates with 3rd party services, including PayPal, MasterPass, Stripe, and Twilio.
The team itself consists of 1 Team Lead, 1 UI Developers, 6 Back-End Developers, 9 Mobile Developers, 5 QA, 2 BA and 2 Designer.
What You’ll Do
- Design, build, and operate reliable, scalable distributed systems
- Improve system availability, performance, and resilience
- Automate infrastructure, deployments, and operational processes
- Diagnose and resolve production issues
- Lead upgrades and migrations with minimal or zero downtime
- Participate in on-call rotations and incident response
- Collaborate closely with development teams to improve operability
- Drive best practices around monitoring, alerting, and capacity planning
- Reduce operational toil through automation
- Contribute to incident management, post-mortems, disaster recovery strategies, and continuous reliability improvements
What You Bring
- 7+ years of experience, specializing in Kubernetes and AWS
- Strong programming skills in Java, with willingness to learn Ruby
- Solid understanding of concurrency, runtime behavior, and performance optimization
- Hands-on experience with Docker and containerized workloads
- Strong Kubernetes expertise (Deployments, StatefulSets, Services, Ingress, Helm, troubleshooting, autoscaling)
- Strong AWS experience (EC2, EKS, RDS, S3, IAM, VPC, Load Balancers, CloudWatch)
- Experience designing infrastructure for high availability and disaster recovery
- Experience with CI/CD pipelines and Infrastructure as Code (Terraform, CloudFormation, Pulumi, or similar
- Experience with RabbitMQ or similar messaging systems (Kafka, SQS, Pulsar, etc.
- Strong understanding of relational databases (MySQL/PostgreSQL), including query optimization, replication, and failover strategies
- Familiarity with NoSQL and in-memory databases (Redis, DynamoDB, MongoDB)
- Experience with distributed systems, microservices, capacity planning, and fault tolerance
- Experience with monitoring and observability tools (Prometheus, Grafana, Datadog, ELK/OpenSearch, OpenTelemetry)
- Strong understanding of Linux systems and networking fundamentals (TCP/IP, DNS, HTTP/HTTPS, TLS, load balancing)
- Experience with SRE practices, including SLOs/SLIs/SLAs, load testing, resilience testing, and incident management
- Strong communication skills and ability to collaborate across engineering teams
- Calm and effective during incidents with an ownership mindset
Nice to Have
- Experience operating production systems written in Ruby, Java, or other major platforms
- Framework experience such as Ruby on Rails, Spring Boot, or similar
- Experience operating high-traffic SaaS platforms
- Cost optimization in cloud environments
- Chaos engineering practices
- Experience mentoring junior engineers
English level
Upper-Intermediate
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel Inc (Website)
Senior DevOps Engineer
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Overview
Shift4 (NYSE: FOUR) is boldly redefining commerce by simplifying complex payments ecosystems across the world. As the leader in commerce-enabling technology, Shift4 powers billions of transactions annually for hundreds of thousands of businesses in virtually every industry. For more information, visit www.shift4.com.
We are looking for uber passionate Senior DevOps / SRE candidates to join the team responsible for the infrastructure and services that empower our customers to run their businesses. Milliseconds matter in an environment dealing with many thousands of requests per second and we must adapt and scale to handle an ever-growing volume of traffic across a diverse ecosystem of products and services.
Responsibilities:
- Design and implement Cloud infrastructure for our mission critical cloud platforms using AWS technologies and best practices.
- Enhance our Infrastructure as code capabilities for our complex Cloud environments.
- Ensure the reliability and stability of application platforms by implementing observability, monitoring, alerts and dashboards for critical components.
- Collaborate closely with engineers, and other team members to achieve elegant solutions which satisfy business needs, goals, and objectives.
- Build and provide recommendations for monitoring processes across engineering teams.
- Diagnose and resolve issues with deployed and/or released systems using a variety of techniques.
- Be the first line of defense and response when it comes to production outages.
- Enhance our CI/CD capabilities and work with engineering teams for releases.
- Continuously invest in improving our platform to meet our engineering needs and goals.
Requirements:
- 5+ years development or automation experience.
- 4+ years of experience working with containers.
- 4+ years working with AWS infrastructure and services.
- 4+ years of hand-on experience working with container orchestration platforms such as Kubernetes or Amazon EKS.
- 4+ years of hands-on experience with IaC, Terraform or similar.
- 2+ years working with CI/CD tooling, hands on experience with GitLab is a plus.
- Strong AWS cloud engineering experience.
- Certifications with any of the following is a plus: AWS Certified DevOps Engineer, Certified Kubernetes Administrator (CKA) or Certified DevOps Developer - Master (CDCD-001).
- Experience integrating monitoring tools into application support.
- Experience working with distributed cloud deployments is a strong plus.
- Be attentive to details and show aptitude for problem solving and a highly collaborative mindset.
- Working knowledge of datastores such as RDS Postgres, RabbitMQ or equivalent.
- Experience with Agile project delivery.
- On-call experience supporting the platform and business critical services
Benefits
- A growing innovative company with a friendly atmosphere.
- Social Responsibility Initiatives.
- Creative, people-oriented, encouraging working environment.
- Cutting-edge technologies and tools.
- Office in the city center with parking for cars, bicycles, and scooters.
- Private health insurance.
- Additional vacation days for each year spent with us.
- Solid salary and annual bonuses for the achieved results.
- Employee referral program.
The salary for this position starts from 6000 gross/month, depending on your experience.
#LI-Hybrid
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class.
Ready to apply?
Apply to Shift4 Lithuania