Scala Developer Job at Signify Technology (Berlin)

Scala Developer

Must Have Technical/Functional Skills; Roles Responsibilities

Location

United States , Jersey City

Salary:

Not provided

Realign

Expiration Date

Until further notice

Requirements

At least 5 years of heavy, hands-on, software development in Scala and/or Java
Experience in building distributed, scalable applications with heavy data processing in realtime or batch using multi-threading and parallel processing architecture
Experience in working with Agile development environment
Strong problem-solving and communication skills and enjoys a collaborative environment
Flexible, self-starter, fast-learner - willing and able to quickly learn new technologies and skills

Job Responsibility

Looking for top-tier engineers who have a strong and successful track record of solving hard problems and out of the box thinking
They will lead the push for horizontally scalable, high-performance applications

Fulltime

Scala Developer

Signify Technology are working with a long-standing, trusted clients of ours who...

Location

Portugal , Lisbon

Salary:

50000.00 EUR / Year

Signify Technology

Expiration Date

Until further notice

Requirements

Proficient in Scala with an understanding of its intricacies
Fluent in English with excellent communication skills
Eagerness to learn about business processes and a proactive attitude towards continuous improvement

Job Responsibility

Contribute to a robust microservices architecture in Scala, utilizing technologies such as SBT, Quill, ScalaPB, Http4s, Scalatest, Oracle DB, Postgres, Flyway, Kafka, RabbitMQ, Protobuf, Scalaxb, git, Docker, Kubernetes, Jenkins, and Elastic Search
Maintain and enhance the Scala 2.13 codebase, incorporating tools like sbt, quill, scalapb, flyway, and protobuf
Develop new microservices to automate and optimize business processes
Collaborate closely with business analysts and stakeholders to gather requirements and design innovative features
Review performance metrics and ensure scalability of existing processes and services

What we offer

A dynamic and collaborative work environment
Opportunities for continuous learning and skill growth
Competitive compensation
Anonymity of the company to respect your privacy
Help with relocation from anywhere globally to Portugal

Fulltime

Senior Scala Developer / Tech Lead

A fast-growing, privacy-first technology company building large-scale, real-time...

Location

United Kingdom , London

Salary:

100000.00 - 130000.00 GBP / Year

Signify Technology

Expiration Date

Until further notice

Requirements

Prior experience in technical leadership, mentoring engineers, drive technical and architectural decisions
Strong communication and stakeholder engagement skills
Strong, recent experience with functional programming (ideally Scala), but open to other FP languages or JVM-based languages
Experienced with the type-level eco-system (Cats Effect)
Cloud platform (AWS/GCP), with Kubernetes, Terraform etc.
Messaging systems like Kafka or Kinesis

Job Responsibility

Lead technical direction for a core platform team
Own architecture and delivery of distributed, data-intensive systems
Mentor engineers and set technical standards
Work closely with product and internal stakeholders
Build and scale data ingestion and data export services
Remain hands-on while providing technical leadership

What we offer

Equity / stock options
Flexible working hours and hybrid setup
Generous paid time off
Enhanced parental leave
Home office budget
Ongoing learning & development support
Mental health and wellbeing resources
Pension / retirement contributions

Fulltime

Senior Scala Developer

We at Sigma Software are looking for a Senior Scala Developer to join our fast-g...

Location

Salary:

Not provided

Sigma Software Group

Expiration Date

Until further notice

Requirements

Scala / expert
JVM Languages (Java/Kotlin) / strong
TypeScript / strong
PostgreSQL / strong
Kafka / good

Job Responsibility

Design and deliver robust Back-End solutions using Scala and JVM technologies
Contribute to systems that handle tens of thousands of requests per second
Collaborate closely with an international, UK-based product team
Take ownership of major features
Influence technical decisions across scalable architecture, stream processing, data storage, and CI/CD practices

What we offer

Diversity of Domains & Businesses
Variety of technology
Health & Legal support
Active professional community
Continuous education and growing
Flexible schedule
Remote work
Outstanding offices (if you choose it)
Sports and community activities

New

Senior Data Engineer

This role is categorized as hybrid. This means the successful candidate is expec...

Location

United States , Austin

Salary:

133000.00 - 188600.00 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

5+ years of relevant full-time experience
or equivalent knowledge
Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field, or equivalent practical experience.
Strong proficiency in Scala, Python, SQL, Spark, and Databricks, with production-quality software engineering practices.
Strong experience building and supporting cloud-based ETL/ELT pipelines, data platforms, and pipeline orchestration patterns for both batch and streaming operations.
Experience deploying machine learning models into production environments and supporting model development through operational release.
Strong experience with Databricks jobs, workflows, repos, Unity Catalog, and MLflow-based experimentation and model lifecycle management.
Experience building CI/CD pipelines with Git-based workflows, automated testing, and deployment of data or ML products.
Strong troubleshooting, communication, and cross-functional collaboration skills.

Job Responsibility

Design and develop batch and streaming ETL/ELT pipelines in Azure Databricks to support ingestion, transformation, curation, and delivery of manufacturing and enterprise data
Build reusable Bronze, Silver, and Gold data pipelines, data quality frameworks, and governed data products in Unity Catalog
Build and operationalize ML workflows for data preparation, feature engineering, model training, evaluation, deployment, batch scoring, retraining, and inference
Establish and maintain MLflow-based model lifecycle controls, including experiment tracking, model registration, versioning, lineage, traceability, and controlled promotion across environments
Implement CI/CD pipelines for data products, ML code, workflows, and deployment bundles using Git-based development practices, automated testing, and release automation
Build and support Databricks jobs and workflows for orchestration, scheduled execution, retraining, scoring, and downstream operational consumption
Improve reliability, observability, and production readiness through testing, monitoring, validation, alerting, documentation, and automation that reduce deployment risk and manual intervention
Partner with data scientists, data engineers, platform teams, architecture, manufacturing, and business stakeholders to productionize scalable, supportable solutions aligned to production constraints
Support modernization of legacy data and ML workflows into standardized cloud-native Databricks patterns and help bridge proof-of-concept work into repeatable production solutions

What we offer

Medical
Dental
Vision
Health Savings Account
Flexible Spending Accounts
Retirement savings plan
Sickness and accident benefits
Life insurance
Paid vacation & holidays
Tuition assistance programs

Fulltime

New

Senior Staff Machine Learning Scientist, Recommendations

At SiriusXM and Pandora, recommendations sit at the core of the user experience....

Location

Ireland , Dublin

Salary:

Not provided

SiriusXM

Expiration Date

Until further notice

Requirements

M.S. in a quantitative field required
Ph.D. preferred
7+ years production experience implementing recommender systems, machine learning pipelines, models at scale in Python, Java, Scala, or similar languages
Production ML: Knowledge of production ML best practices such as model versioning, tracking, deployment, monitoring
serving concepts such as feature stores, etc.
ML Concepts: Expertise with modern ML approaches for recommendations such as transformers, other deep-learning based recommender/ranking approaches, and LLM/agentic recommendation approaches
Soft Skills: Excellent written and verbal communication skills, with the ability to effectively advocate technical solutions to scientists, engineers, and product audiences
Mindset: Self-motivated, growth-oriented, and driven to pursue solutions to challenging problems

Job Responsibility

Design, build, and improve traditional, deep-learning, transformer-based, and AI-based personalised recommendation models for various audio-content recommendation tasks
Drive the development of novel methods to enable cross-domain recommendations, live on-the-air content recommendations, multi-stakeholder recommendations, and improved recommendation explainability and interactivity
Continuously monitor, evaluate, optimise, and improve model performance, ensuring alignment with business goals and high-quality user experiences via offline metrics and A/B testing
Establish and scale best practices for ML development, deployment, and evaluation
Lead cross-functional efforts with product, backend engineers, data engineers, and machine learning engineers to define and drive roadmaps across multiple recommendation and personalisation surfaces
Stay up-to-date with the latest techniques in machine learning and apply these advancements to solve complex problems in recommendations and ranking, helping set the technical direction and vision for personalisation in a rapidly evolving ML and AI landscape
Own and influence the technical strategy for recommendation and personalisation systems across the organisation
Elevate the team’s capabilities by mentoring junior members, conducting thorough code reviews, and fostering an environment of shared knowledge and continuous learning

Fulltime

New

Senior Data Engineer – Core Team (Onshore)

Location

United States

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

8–10 years of hands-on data engineering experience
Strong understanding of Apache Spark and its core concepts
Proficiency in Scala and/or Java — code-first approach required
Advanced SQL skills
Experience with Azure Synapse
Working knowledge of GitHub for source control
Experience with data warehousing and large-scale data integration
Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent work experience
Must be a hands-on builder
Must be available to mobilize immediately

Job Responsibility

Migrate Spark Job Definitions from Synapse to Fabric (32) Design, develop, and maintain data pipelines using Scala and SQL on Apache Spark
Monitor and support Phase 1 pipelines post go-live
Investigate and remediate pipeline failures, data quality issues, and performance bottlenecks
Lead refactoring and cleanup of existing Phase 1 code
Optimize existing solutions for performance and scalability
Build and contribute to reusable patterns and automation frameworks
Work within TCCC’s metadata-driven architecture
Ensure pipelines are used strictly for scheduling — ETL logic must remain in code
Manage code using GitHub version control
Contribute to discovery sessions to derive requirements directly from data

New

Senior Lead Ai Engineer (Mlx, Agentic Ai, Gen Ai Platform Services)

Location

United States , San Francisco; New York; San Jose; Cambridge; McLean

Salary:

229900.00 - 286200.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies
At least 6 years of experience programming with Python, Go, Scala, or Java

Job Responsibility

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being

Fulltime

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