Jobs Scala

About the Role
Optimizing data infrastructure at scale lies in providing breakthrough data processing acceleration to the bottomline that drives up costs: the software deployed at scale by data engineering teams.
As a Senior Software Engineer for this role, you will collaborate with the founding team in the implementation of a next-generation accelerator for Apache Spark, the most widely used Big Data processing engine at petabyte-scale.
Working at the intersection of compilers and Big Data analytics, you’ll drive state-of-the-art implementation of algorithms and techniques that span across the entire software stack, from SQL pushdown to enhancements in low-level C++ data processing APIs and beyond.

Requirements:

• 7+ years of hands-on commercial software development experience
• 3+ years of strong Scala experience
• experience with Java
• 2+ years of solid C++ experience
• Upper-Intermediate (B2+) English with confidence in active communication (meetings, discussions)
   

Responsibilities:

• Take full ownership of SQL acceleration features — from architecture and design to implementation and measurable performance gains
• Design, build, and optimize Big Data processing algorithms using Scala, Java, and C++
• Develop high-performance, low-latency components at the intersection of Big Data and compiler technologies
• Work with custom DSLs and code generation frameworks to extend and enhance query execution capabilities
• Contribute to cross-language integrations (Java ↔ C++ via JNI) and drive system-wide performance improvements
   

Ready to level up your career? 

Playtech's GPAS unit is looking for an experienced Scala Developer with excellent engineering skills.

Your influential mission. You will...  

• Participate in software design, development, refactoring, support, and code reviews to maintain high development standards.
• Collaborate with platform teams to deliver great results.
• Work autonomously on your tasks with little or no supervision.
• Optimize the platform to achieve maximum throughput and scalability.
• Be proactive and go beyond expectations.

Components for success. You...

• Bring at least 3 years of hands-on experience developing server-side applications in Scala.
• Have a strong working knowledge of Scala (preferably Scala 3) and SBT (Scala Build Tool).
• Demonstrate solid experience with Pekko/Akka, including HTTP, Actors, Cluster, Persistence, Streams, and connectors.
• Possess a strong understanding of the JVM, data structures, and algorithms.
• Exhibit excellent knowledge of parallel and concurrent programming principles.
• Have practical experience building high-scale, distributed systems with complex interfaces and integrations.
• Think like an engineer - taking ownership, driving solutions forward, and continuously improving systems and processes.
• Demonstrate exceptional problem-solving skills and critical thinking.
• Show a willingness to document solutions and actively share knowledge with colleagues.

• Communicate clearly and effectively in English.

   

You'll get extra points for...

• Previous experience in the iGaming domain.
• Experience working with Typesafe Config.
• Hands-on experience with Couchbase or other document-based NoSQL databases.
• Familiarity with AWS services such as S3 and DynamoDB.
• Experience using Play JSON.
• Proficiency with ScalaTest for testing.
• Experience with containerization and orchestration tools such as Docker, Nomad, or Kubernetes.
• Confidence working in Linux environments.

Thrive in a culture that values...   

• A friendly, cooperative, and goal-oriented team of experienced professionals.
• Clear goals and a results-driven environment.
• Open communication, knowledge sharing, and mutual support across teams.
• Initiative-taking and a confident approach at the workplace.
• Collaborative and supportive culture as well as stable long-term career opportunities.
• Global scope and inclusive working environment where you can engage with diverse teams and perspectives.
• Constant learning and development opportunities and professional growth programs.

• An active lifestyle and mental well-being supported through sports classes, master classes, and monthly well-being activities.

   

GPAS UNIT

We invite an experienced Scala Developer to become a part of Playtech as a new member of the GPAS product team. Gaming Platform as a Service aka GPAS is Playtech’s exclusive distributed games delivery platform that currently has more than 1000 games running on it. GPAS is a highly accessible, multi-tenant, scalable, distributed and event-driven system written in Scala with the help of the Akka framework. We use Couchbase as a hot storage and AWS S3/DynamoDB as our cold storage to ensure we can handle nearly a billion transactions per day. We have a complex solution that provides capabilities to run various types of online casino games. We adopt Scrum methodology to deliver new features on time.

Playtech is an equal opportunities employer. Our mission is to welcome everyone and create inclusive teams. We celebrate differences and encourage everyone to join us and be themselves at work.

Build data-intensive systems that actually scale. Own distributed processing, not just services. Shape how large-scale data flows power products.
 

We’re looking for a Senior Scala / Data Engineer for one of our clients — a company operating in a data-heavy, distributed systems environment. This is a hands-on role for someone with a strong Scala background who has built and optimized high-performance data systems in production.

This role is for someone who takes full ownership of distributed data systems — from architecture to performance. You’ll work on complex, large-scale data processing challenges where efficiency, scalability, and fault tolerance are critical.
 

Your responsibilities will include:

• Build and optimize distributed data processing systems using Scala;
• Design and implement high-throughput, low-latency data pipelines;
• Work with big data frameworks (e.g., Spark) and distributed architectures;
• Develop and maintain scalable backend services for data-intensive workloads;
• Optimize performance of data processing jobs and infrastructure;
• Ensure fault tolerance and resilience of distributed systems;
• Implement monitoring, logging, and observability for data pipelines;
• Collaborate with engineering teams to design scalable system architectures;
• Contribute to cross-functional backend and data engineering efforts;
• Ensure high standards of code quality, performance, and reliability.
   

What we expect from you:

• Strong experience with Scala in production environments;
• Proven experience as a Senior Data Engineer or Backend Engineer in data-heavy systems;
• Strong understanding of distributed systems and parallel processing;
• Experience with big data technologies (Spark, Kafka, etc.);
• Strong knowledge of JVM ecosystem and performance tuning;
• Experience building high-load, scalable systems;
• Strong system design and architectural thinking;
• Ability to work independently and take ownership;
• Strong problem-solving skills in complex, distributed environments;
• English level: B2+ (C1 preferred);
• Availability to work in EU timezone.
   

Nice to have:

• Experience with functional programming paradigms;
• Experience with cloud infrastructure (AWS / GCP);
• Experience with stream processing frameworks (Flink, Akka Streams);
• Background in low-latency or real-time systems;
• Experience in niche or hard-to-hire tech domains.
   

We offer:

• Six-month full-time contract engagement;
• Remote work with overlap in US business hours;
• High-impact project with direct influence on production AI systems;
• Close collaboration with client’s product and engineering teams;
• Opportunity to build core infrastructure for real-world AI applications — not prototypes.

Are you passionate about building scalable, reliable data systems that power real-world solutions? We are looking for a Senior Scala Developer to join our team and work remotely from Europe, Ukraine, or LATAM.

At Sigma Software, we partner with innovative companies to deliver cutting-edge technology solutions. This role offers the opportunity to design and operate a canonical data platform that integrates diverse external data sources, ensuring high quality and flexibility.

Why join us? You’ll work with modern technologies, collaborate with talented professionals across multiple regions, and have the freedom to experiment and innovate while contributing to impactful projects in the AdTech domain.

Customer

Our client is a fast-growing AdTech company focused on solving real-world challenges in digital advertising and data-driven marketing. They specialize in building highly resilient and scalable systems that encourage experimentation and innovation. Their data platform is designed to be both powerful and flexible, enabling engineers to introduce new ideas and leverage the latest technologies to optimize advertising performance and audience insights.

Project

The project involves developing and maintaining a canonical data platform that integrates multiple external data sources. It supports both full data loads and incremental updates, ensures high data quality, and leverages AI-assisted tools for monitoring and issue detection.

Key Technologies: Java, Scala, SQL, GCP Dataflow, REST APIs, AI-assisted tools, event-driven architectures

Responsibilities

• Design, build, and maintain reliable data pipelines to ingest and process data from external systems
• Implement integrations using Java or Scala, ensuring scalability and resilience
• Handle both full data loads and incremental updates efficiently
• Collaborate with engineering and product teams to align on integration and data needs
• Develop and maintain a unified internal data model
• Ensure data quality, detect and resolve incorrect or incomplete data
• Utilize AI-assisted tools to improve data quality and operational efficiency
• Monitor and optimize data pipelines for production readiness

Requirements

• At least 5 years of experience as a Software Engineer
• Strong production experience with Java or Scala
• Experience with Spark
• Proven experience integrating external systems via REST APIs (pagination, rate limiting, token-based authentication)
• Strong data modelling skills with structured, relational data
• Solid SQL knowledge
• Experience with GCP Dataflow
• Experience operating data pipelines in production environments
• Strong communication skills and ability to collaborate across teams
• At least an Upper Intermediate level of English
   

WILL BE A PLUS:

• Experience with event-driven architectures or messaging systems
• Designing canonical schemas across multiple data sources
• Experience with LLM (Large Language Models)
   

Personal Profile

• Proactive and detail-oriented
• Thrives in collaborative environments
• Enjoys solving complex integration challenges
• Comfortable experimenting with new technologies
• Committed to improving data systems

ABOUT THE ROLE
We are looking for a Technical Application Support Engineer to provide backup coverage for our platform and related audience workflows. This is NOT a primary feature development role. 

The person will act as a technical backup and first responder when the Europe-based team is unavailable, helping India and US teams investigate issues, validate system behavior, check logs, inspect API/database state, and escalate with clear technical context when deeper engineering work is required.

Time Overlap (!): 5:00 AM to 2:00 PM or 4:00 AM to 1:00 PM EST

Platform stack:
Scala Pekko HTTP Kafka Pekko Streams MongoDB PostgreSQL, Facebook/Meta, LinkedIn Google Ads Microsoft/Bing Ads, Reddit Pinterest TikTok Twitter/X

RESPONSIBILITIES
• Provide backup technical support for internal API and related workflows
• Investigate production and staging issues using API responses, logs, metrics, Kafka state, MongoDB, and PostgreSQL
• Understand and trace the core system flow related to external platform integrations
• Investigate why entities failed to create/update, synchronize, or retrieve reports correctly
• Troubleshoot platform-specific issues (Facebook/Meta, LinkedIn, etc.)
• Validate common token/auth issues including expired user tokens, missing permissions, and platform account
mapping problems
• Use Kibana, Grafana, Prometheus, Graphite, Kafka metrics, and database queries to support investigations
• Follow runbooks for safe operational checks and simple remediation steps
• Document findings clearly and escalate with enough context for engineering teams to act quickly
• Work closely with teams in India, Europe, and the US

REQUIRED QUALIFICATIONS
• 3+ years in application support, production support, technical operations, backend QA, SRE-lite, or similar roles
• Strong understanding of REST APIs, JSON, HTTP status codes, and backend request flows
• Hands-on experience reading logs and investigating production issues
• Practical experience with MongoDB and SQL/PostgreSQL for read-only investigation
• Basic working knowledge of Kafka or event-driven systems
• Familiarity with Kubernetes-based applications at support level
• Ability to use dashboards and observability tools such as Kibana, Grafana, Prometheus, or similar
• Strong troubleshooting mindset with clear written communication in English
• Ability to work with distributed teams across India, Europe, and the US

PREFERRED QUALIFICATIONS
◆ Experience supporting Scala, Java, or JVM backend systems
◆ Familiarity with Apache Pekko or Akka HTTP / Streams

◆ Experience with advertising platforms or marketing APIs
◆ Familiarity with OAuth, refresh tokens, access tokens, system users, and platform permissions
◆ Basic understanding of CI/CD, Jenkins, GitHub Actions, Docker, and Kubernetes deployments
◆ Experience creating support runbooks and incident summaries

WHAT SUCCESS LOOKS LIKE
After onboarding, this person should be able to:
• Understand the platform request/event flow end-to-end
• Check whether a problem is in API validation, Kafka processing, event handling, MongoDB/PostgreSQL state, external
platform API, or something else
• Identify common platform integration differences
• Answer basic "what happened?" questions without waking up the European owner
• Escalate only when deeper engineering changes or platform-specific decisions are needed
• Maintain useful troubleshooting documentation for repeated issues

ABOUT PROJECT

We are a leading technology company that uses real-world data in real-time to optimize campaign performance and revolutionize health decision-making. Leveraging proprietary datasets and methodology, we target healthcare professionals and patients with an unprecedented level of accuracy—delivering unparalleled results to the clients we serve.