AgileEngine

Important: after confirming your application on this platform, you’ll receive an email with the next step: completing your application on our internal site, LaunchPod. So keep an eye on your inbox and don’t miss this step — without it, the process can’t move forward.

Why join us

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! :)

About the role
We are looking for an experienced Senior Databricks Data Engineer to help modernize a 15-year-old data warehouse into a governed Databricks Lakehouse. You will build batch and streaming pipelines with PySpark and Delta Lake, following a medallion architecture across bronze, silver, and gold layers. This role also uses AI tools like Claude and GitHub Copilot to speed up development.

What you will do

• Design, build, and operate batch and streaming data pipelines on Databricks using PySpark, Delta Lake, and Databricks Workflows.
• Model and maintain a medallion (bronze/silver/gold) architecture serving analytics, reporting, and machine learning consumers.
• Migrate legacy ETL and data warehouse workloads onto the Lakehouse with validated data parity and minimal business disruption.
• Use Claude or Github Copilot as a development accelerator, generating code scaffolding, writing and reviewing tests, creating documentation and prototyping solutions.
• Write clean, well-tested Python and SQL; maintain high standards through code review and documentation.
• Optimize Spark jobs and Delta tables for performance and cost, including partitioning, clustering, caching, and cluster sizing.
• Implement data quality, lineage, and governance controls using Unity Catalog and automated validation checks.
• Debug, troubleshoot, and resolve pipeline failures, data defects, and production incidents.
• Participate in Agile or product-centric delivery practices including sprint planning and retrospectives.
• Collaborate with DevOps, platform, and analytics engineers on observability, security, and compliance best practices.

Must haves

• 4+ years of professional experience in data engineering, featuring direct expertise with Apache Spark and cloud-based data architectures.
• Strong hands-on experience building data pipelines with Databricks, Apache Spark (PySpark), and Delta Lake.
• Advanced SQL and Python, with strong data modeling skills across dimensional and Lakehouse patterns.
• Experience with streaming ingestion using Structured Streaming, Auto Loader, Kafka, or Event Hubs.
• Experience with workflow orchestration (Databricks Workflows, Airflow, or Azure Data Factory).
• Experience with legacy platform migrations, ETL modernization, or managing data hygiene when porting old systems.
• Strong problem-solving, collaboration, and communication skills, including mentoring junior engineers and explaining data concepts to non-technical stakeholders.
• Familiarity with Unity Catalog, data governance, access control, and PII handling.
• Experience with dbt or an equivalent transformation framework.
  Familiarity with secure coding standards and industry security best practices.
• Experience delivering production data platforms at scale.
• Upper-intermediate English level.

Nice to haves

• Experience with Infrastructure as Code (IaC) using Terraform and CI/CD using Azure Devops.
• Experience working with relational databases (specifically PostgreSQL) and data persistence concepts.
• Familiarity with logging and monitoring tools (e.g., Dynatrace, CloudWatch, Databricks system tables).
• Experience working in Agile or team-based development environments preferred.

Perks and benefits

• Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps
• Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities
• A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands
• Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office — whatever makes you the happiest and most productive.

Meet Our Recruitment Process

Asynchronous stage — An automated, self-paced track that helps us move faster and give you quicker feedback:

• Short online form to confirm basic requirements
• 30–60 minute skills assessment
• 5-minute introduction video

Synchronous stage — Live interviews

• Technical interview with our engineering team (scheduled at your convenience)
• Final interview with your future teammates
   

If it’s a match—you’ll get an offer!

Important: after confirming your application on this platform, you’ll receive an email with the next step: completing your application on our internal site, LaunchPod. So keep an eye on your inbox and don’t miss this step — without it, the process can’t move forward.

About the role

We are looking for a Middle Data Engineer to help modernize a 15-year-old data warehouse into a governed Databricks Lakehouse. You will build batch and streaming pipelines with PySpark and Delta Lake, following a medallion architecture across bronze, silver, and gold layers. This role also uses AI tools like Claude and GitHub Copilot to speed up development.

What you will do

• Design, build, and operate batch and streaming data pipelines on Databricks using PySpark, Delta Lake, and Databricks Workflows.
• Model and maintain a medallion (bronze/silver/gold) architecture serving analytics, reporting, and machine learning consumers.
• Migrate legacy ETL and data warehouse workloads onto the Lakehouse with validated data parity and minimal business disruption.
• Use Claude or Github Copilot as a development accelerator, generating code scaffolding, writing and reviewing tests, creating documentation and prototyping solutions.
• Write clean, well-tested Python and SQL; maintain high standards through code review and documentation.
• Optimize Spark jobs and Delta tables for performance and cost, including partitioning, clustering, caching, and cluster sizing.
• Implement data quality, lineage, and governance controls using Unity Catalog and automated validation checks.
• Debug, troubleshoot, and resolve pipeline failures, data defects, and production incidents.
• Collaborate with DevOps, platform, and analytics engineers on observability, security, and compliance best practices.

Must haves

• 3+ years of professional experience in data engineering, featuring direct expertise with Apache Spark and cloud-based data architectures.
• Strong hands-on experience building data pipelines with Databricks, Apache Spark (PySpark), and Delta Lake.
• Advanced SQL and Python, with strong data modeling skills across dimensional and Lakehouse patterns.
• Experience with streaming ingestion using Structured Streaming, Auto Loader, Kafka, or Event Hubs.
• Experience with workflow orchestration (Databricks Workflows, Airflow, or Azure Data Factory).
• Experience with legacy platform migrations, ETL modernization, or managing data hygiene when porting old systems.
• Strong problem-solving, collaboration, and communication skills.
• Familiarity with Unity Catalog, data governance, access control, and PII handling.
• Experience with dbt or an equivalent transformation framework.
• Familiarity with secure coding standards and industry security best practices.
• Experience delivering production data platforms at scale.
• Upper-intermediate English level.

Nice to haves

• Experience with Infrastructure as Code (IaC) using Terraform and CI/CD using Azure DevOps.
• Experience working with relational databases (specifically PostgreSQL) and data persistence concepts.
• Familiarity with logging and monitoring tools (e.g., Dynatrace, CloudWatch, Databricks system tables).
• Experience working in Agile or team-based development environments preferred.

The benefits of joining us

• Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps
• Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities
• A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands
• Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.

Meet Our Recruitment Process

Asynchronous stage – An automated, self-paced track that helps us move faster and give you quicker feedback:

• Short online form to confirm basic requirements
• 30–60 minute skills assessment via Codility – a platform founded in Poland that helps us provide quicker feedback and streamline this stage of the process.
• 5-minute introduction video

Synchronous stage – Live interviews

• Technical interview with our engineering team (scheduled at your convenience)
• Final interview with your future teammates

If it’s a match — you’ll get an offer!

Important: after confirming your application on this platform, you’ll receive an email with the next step: completing your application on our internal site, LaunchPod. So keep an eye on your inbox and don’t miss this step — without it, the process can’t move forward.

Why join us

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! :)

About the role

We are looking for a Senior Technical Lead to serve as the regional delivery anchor for a follow-the-sun DevSecOps program, leading a cross-functional pod across ASPM integrations and AI-enabled SDLC secure code scanning. You will facilitate shift hand-offs with peer leads across timezones, own regional technical escalations, perform secure code reviews, and drive 24-hour delivery velocity in a regulated enterprise environment. The role requires 5+ years of software engineering experience with strong Python depth and technical leadership acumen.

What you will do

• Lead a localized, cross-functional pod of engineers and data scientists, ensuring continuous feature momentum across the 24-hour cycle.
• Facilitate seamless shift hand-offs with peer SDMs in other timezones to maintain 24/7 delivery velocity.
• Oversee the technical delivery of core workstreams, including Application Security Posture Management (ASPM) integrations and AI-enabled SDLC secure code scanning.
• Act as the primary escalation point for regional technical challenges, performing secure code reviews and guiding infrastructure architecture.

Must haves

• 5+ years of software engineering and architecture experience, with strong technical leadership or engineering management acumen.
• Deep expertise in Python.
• Ideally, experience with modern DevSecOps, Cloud Security, and CI/CD ecosystems.
• Complete technical ownership of the system's structural integrity, performance, and security, with the ability to provide creative direction and mentorship.
• Upper-intermediate English level.

Nice to haves

• Prior experience building or implementing AI-assisted developer workflows or intelligent agents.
• Experience with Java.
• Proven commercial experience managing distributed or follow-the-sun engineering teams in highly regulated enterprise environments (Finance, Healthcare, Defense).

The benefits of joining us

• Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps
• Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities
• A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands
• Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.

Meet Our Recruitment Process

Asynchronous stage – An automated, self-paced track that helps us move faster and give you quicker feedback:

• Short online form to confirm basic requirements
• 30–60 minute skills assessment via Codility – a platform founded in Poland that helps us provide quicker feedback and streamline this stage of the process.
• 5-minute introduction video

Synchronous stage – Live interviews

• Technical interview with our engineering team (scheduled at your convenience)
• Final interview with your future teammates

If it’s a match — you’ll get an offer!

Important: after confirming your application on this platform, you’ll receive an email with the next step: completing your application on our internal site, LaunchPod. So keep an eye on your inbox and don’t miss this step — without it, the process can’t move forward.

Why join us
If you’re looking for a place to grow, make an impact, and work with people who care, we’d love to meet you! :)

About the role
We are looking for a Senior Mobile Engineer to maintain and optimize native iOS and Android voice and messaging applications, with a strong focus on Swift (70%) and Kotlin (30%), while leading Proof of Concept work to evaluate migration toward React Native. You will implement and optimize Real-Time Communication capabilities including WebRTC, SIP, and VoIP push notifications, solve complex voice, network latency, and socket reliability challenges, and collaborate directly with client stakeholders on mobile architecture and feature decisions.

What you will do
● Maintain, enhance, and optimize existing native Android (Kotlin) and iOS (Swift) mobile applications.
● Design and build Proofs of Concept (PoCs) to evaluate and execute the transition of native apps to React Native.
● Implement and optimize Real-Time Communication (RTC) capabilities, including WebRTC, SIP, and in-app chat features.
● Solve complex mobile voice issues related to VoIP/voice-enabled push notifications, socket connections, and network latency.
● Collaborate directly with key client stakeholders to refine mobile architecture and feature specifications.
● Conduct code reviews, establish best practices for mobile stability, and drive continuous performance improvements.
● Operate in an Agile delivery workflow with regular sprint planning and technical iterations.

Must haves
● 3+ years of hands-on professional mobile development experience across both iOS and Android platforms.
● Strong, direct experience writing native mobile applications in Swift (iOS) and Kotlin (Android). (Role will be 70% oriented in Swift and 30% oriented in Kotlin.)
● Exposure or knowledge of React Native.
● Solid domain experience with Real-Time Communication (RTC), specifically WebRTC, SIP, or VoIP architecture.
● Proven experience implementing voice-enabled push notifications (e.g., PushKit, CXProvider, VoIP background modes) and handling network latency in voice/chat apps.
● Strong technical problem-solving ability with a senior-level mindset for app stability and connection reliability.
● Based in LATAM or Ukraine with at least 4 hours of EST time zone overlap.
● Excellent written and spoken English communication skills for client-facing collaboration.

Nice to haves
● Direct experience migrating native mobile applications (Swift/Kotlin) to React Native.
● Deep understanding of socket connections, audio packet management, and mobile bandwidth optimization.
● Background in developing specialized VoIP or real-time communication consumer applications.
● Experience working in high-growth startup or dedicated remote agency environments.

Perks and benefits
● Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps
● Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities
● A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands
● Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office — whatever makes you the happiest and most productive.


Meet Our Recruitment Process
Asynchronous stage — An automated, self-paced track that helps us move faster and give you quicker feedback:
● Short online form to confirm basic requirements
● 30–60 minute skills assessment
● 5-minute introduction video
Synchronous stage — Live interviews
● Technical interview with our engineering team (scheduled at your convenience)
● Final interview with your future teammates
If it’s a match—you’ll get an offer!

Important: after confirming your application on this platform, you’ll receive an email with the next step: completing your application on our internal site, LaunchPod. So keep an eye on your inbox and don’t miss this step — without it, the process can’t move forward.

Why join us

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! :)

About the role

We are looking for a Senior Application Security Engineer to architect and build automated security layers within the SDLC, engineering AI-enabled secure code scanning, hardened baseline automation, and CI/CD security tooling integration within a large-scale financial services program. You will work primarily in Python to build automated security runbooks, deploy and tune scanning tools, and provide code-level remediation guidance to development teams — operating with full autonomy and no daily supervision. AppSec and DevSecOps experience is strongly preferred; SAST/DAST/SCA and Java expertise are a plus.

What you will do

• Engineer and deploy AI-enabled secure code scanning capabilities and "Golden Images" to drive secure-from-the-start adoption;
• Automate the development of secure coding patterns and integrate them with traditional and Agentic SDLC workflows;
• Architect the integration of continuous security scanning tools (SAST, DAST, SCA) into enterprise CI/CD pipelines, tuning them to eliminate noise;
• Act as a senior technical SME, reading and reviewing complex application code (Java/Python) to provide software engineers with highly specific, code-level remediation guidance.

Must haves

• 5+ years of software engineering experience, ideally with a focus on Application Security and DevSecOps;
• Strong coding and architectural proficiency in Python for security automation and scripting;
• Fully autonomous execution capability, requiring no daily supervision to map out and build automated security runbooks;
• Upper-intermediate English level.

Nice to haves

• Deep, hands-on expertise deploying and tuning modern application security testing tools, including SAST, DAST, and SCA, and integrating them into complex CI/CD orchestration ecosystems;
• Experience integrating LLMs, AI agents, or automated coding assistants to streamline vulnerability triaging or secure code generation;
• Advanced application threat modeling experience;
• Ability to confidently read, review, and secure enterprise source Java code.

The benefits of joining us

• Professional growth

Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps

• Competitive compensation

We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities

• A selection of exciting projects

Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands

• Flextime

Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.

Meet Our Recruitment Process

Asynchronous stage – An automated, self-paced track that helps us move faster and give you quicker feedback:

• Short online form to confirm basic requirements
• 30–60 minute skills assessment via Codility – a platform founded in Poland that helps us provide quicker feedback and streamline this stage of the process.
• 5-minute introduction video

Synchronous stage – Live interviews

• Technical interview with our engineering team (scheduled at your convenience)
• Final interview with your future teammates

If it’s a match — you’ll get an offer!

Important: after confirming your application on this platform, you’ll receive an email with the next step: completing your application on our internal site, LaunchPod. So keep an eye on your inbox and don’t miss this step — without it, the process can’t move forward.

Why join us

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! :)

About the role

We are looking for a Senior Quality Engineer to drive quality throughout the software development lifecycle by partnering with Product Managers, Software Engineers, and Architects to embed quality from the start rather than serve as a gatekeeper at release. You will design and maintain automated tests across unit, API, integration, and UI layers using tools like Playwright, Cypress, or Selenium, champion a right-sized test pyramid strategy, and leverage AI-powered tools for test generation, defect analysis, and coverage optimization. The role requires 4+ years of quality engineering experience with hands-on AI-assisted testing tool experience.

What you will do

• Partner closely with Product Managers, Software Engineers, and Architects to understand product functionality, technical design, customer workflows, and acceptance criteria, ensuring quality is built into every stage of SDLC.
• Define and execute a product quality strategy that aligns with business priorities, engineering practices, and release objectives.
• Design, develop, and maintain automated tests across unit, API, integration, and UI layers, applying the appropriate level of testing based on product risk and architecture.
• Champion the concept of a right-sized test pyramid by driving quality through the most effective mix of unit, service, integration, and end-to-end tests rather than relying heavily on UI automation.
• Collaborate with development teams to understand code changes, code coverage, and application architecture to determine where automated tests provide the greatest value.
• Build and maintain scalable, resilient automation frameworks that integrate seamlessly into CI/CD pipelines to enable continuous testing and rapid feedback.
• Promote shift-left quality practices by participating in backlog refinement, sprint planning, design discussions, and code reviews to identify quality risks early.
• Leverage AI-powered tools throughout the software development and testing lifecycle, including test case generation, automation development, defect analysis, risk identification, and coverage optimization, while validating AI-generated outputs for accuracy and effectiveness.
• Identify opportunities to reduce manual effort through intelligent automation and process optimization while improving product reliability.
• Partner with engineering teams to investigate defects, perform root cause analysis, and implement preventative quality improvements.

Must haves

• 4+ years of experience in software testing, quality engineering, or automation roles.
• Proficiency with automation tools and frameworks (e.g., Selenium, Cypress, Playwright, REST-assured, Postman, or similar).
• Ability to read, write, or debug test code or scripts (e.g., Java, JavaScript/TypeScript, Python, C#).
• Understanding of REST APIs and service-based architectures.
• Familiarity with CI/CD pipelines and continuous-testing concepts.
• Hands-on experience with AI-assisted testing tools and practices required.
• Upper-Intermediate English level.

Nice to haves

• Passionate about writing clean, modern, maintainable, & highly-performant code.
• Pro-active ability and a self-starter attitude to troubleshoot and solve problems.
• Experience working in an Agile environment leveraging remote communication tools.
• Strong communication skills with excellent interpersonal effectiveness.

The benefits of joining us

• Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps
• Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities
• A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands
• Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.

Meet Our Recruitment Process

Asynchronous stage – An automated, self-paced track that helps us move faster and give you quicker feedback:

• Short online form to confirm basic requirements
• 30–60 minute skills assessment via Codility – a platform founded in Poland that helps us provide quicker feedback and streamline this stage of the process.
• 5-minute introduction video

Synchronous stage – Live interviews

• Technical interview with our engineering team (scheduled at your convenience)
• Final interview with your future teammates

If it’s a match — you’ll get an offer!