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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
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Feedzai is the world’s first RiskOps platform for financial risk management, and the market leader in safeguarding global commerce with today’s most advanced cloud-based risk management platform, powered by machine learning and artificial intelligence. Feedzai is securing the transition to a cashless world while enabling digital trust in every transaction and payment type. The world’s largest banks, processors, and retailers trust Feedzai to protect trillions of dollars and manage risk while improving the customer experience for everyday users, without compromising privacy. Feedzai is a Series D company and has raised $282M to date. With a valuation of $2 billion, our technology protects 1 billion consumers and 90 billion transactions each year.
The Data Science Team within Customer Success is highly engaged with our clients making use of their critical thinking skills with a business-focused mentality and customer-facing attitude. They activate, maintain, and support clients, develop models and rules, and train & enable them. In addition, they work cross-functionally with other departments (e.g., Research, Product, Marketing) in a collaborative team spirit spanning the globe to ensure we deliver best in class risk prevention solutions. Being on the frontline of fighting crime and protecting people from financial harm is incredibly inspiring to each of us. Join Us!
Your Day to Day:
- Understanding the data which our clients provide to us;
- Cleaning that data and validating that it is correct;
- Preprocessing the data, usually by using a mixture of shell scripts and a programming language such as Python, Java, Scala, etc
- Iteratively computing features and tuning parameters to improve the quality of the model;
- Communicating your findings to the project manager and assisting him/her in decision making on the Data Science part of the project;
- Work together with key stakeholders (data scientists, engineers, risk managers) from our clients;
- Work with other parts of the organization (Product, Research, etc.) to improve processes, best practices and tooling.
You Have & You Know-how:
- MSc or PhD in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, Physics or related field;
- Proficient in Machine Learning (training and testing, avoiding overfit, etc.);
- Knowledge of Big Data technologies such as Spark, Hadoop and related;
- Proficiency in bash, Python and either Java or Scala;
- Knowledge of resource monitoring and runtime optimization (both at JVM and OS level);
- Knowledge of statistics or data visualization is a plus;
- Knowledge of tree based algorithms (Random Forests, XGBoost, LGBM) is a plus;
- Knowledge of Deep Learning algorithms is a plus;
- Ability to communicate your findings in a clear way.
The Customer Success Team is responsible for delivering our product to our clients. This includes education, configuration, solution development, and risk strategy to enable our clients to address their pain points. We collaborate with our clients to ensure they have the right solution, build out a strategy and training plan for them, and then support them through each phase of our client lifecycle. We grow at a fast clip and believe no challenge is too big or too small. Therefore, we have an open environment that encourages us to lean in, try new things, and discover our potential. Join Us!
#LI-remote #LI-BR1
Your First 30-Days at Feedzai:
You will be immersed in our brand with training, connections, and one-on-one time with your manager. You may shadow your colleagues virtually or onsite at an office depending on where you work as you are supported through your Feedzai journey. In addition, you will have access to a ton of information to give you history, context, and all the knowledge you can handle about Feedzai and the team. Finally, you will start working on projects and collaborating on work currently being done. We can't wait to have you join the team!
Feedzai is an Equal Opportunity Employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Feedzai does not accept unsolicited resumes from recruiters or employment agencies.
Feedzai will use the personal data you provide us with by filling out this form for reviewing your application and to potentially negotiate a contract with you. Your personal data will be retained by Feedzai for 24 months following your application. Please see our Privacy Notice available at https://www.feedzai.com/legal/feedzai-candidate-privacy-policy/ and https://www.feedzai.com/legal/feedzai-california-candidates-privacy-policy/ for more information on how we process your personal data.
Ready to apply?
Apply to Feedzai
Are you passionate about working with the most cutting-edge technologies, including AI, big data analytics, LLMs, data mining, and business intelligence (BI)? Are you looking to become part of a world-class engineering team? Do you aspire to contribute to a globally recognized, pre-IPO leader in technology?
As a Senior Software Engineer, you will contribute to the design and development of AI-driven architectures that power our next-generation intelligent customer engagement platforms. Your contributions will help shape AI-powered customer experiences, enhancing the intelligence and efficiency of our service platforms.
Job Responsibilities:
- Develop and enhance a cloud-based data foundation system and AI agent platform. This involves leveraging AI/ML models, applying prompt engineering techniques, and conducting data analysis across structured, semi-structured, and unstructured data. Utilize technologies such as data and pattern mining, business intelligence (BI), and data transformation and processing.
- Collaborate with cross-functional teams, including data scientists, software engineers, product managers, and business stakeholders, to deliver a high-performance, reliable, scalable service with assured AI quality.
- Contribute to architectural discussions, providing technical design input and ensuring alignment with the overall technology roadmap while adopting best practices effectively and independently.
- Participate in shaping the engineering roadmap, ensuring solutions are scalable and extensible while meeting business needs.
- Support and mentor junior engineers, fostering a collaborative and innovative development culture.
- Stay up-to-date with industry trends, emerging technologies, and advancements in AI and data engineering.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in backend development for cloud-based services, with a strong focus on scalability, reliability, and performance.
- Proficiency in Java, Python, C++, C#, Kotlin, Scala, or similar languages.
- Experience building and optimizing data-intensive services, including data processing, transformation, storage, and retrieval at scale.
- Strong problem-solving skills and ability to design scalable solutions for AI-driven services.
- Strong written and verbal English communication skills.
- Prior experience with data platforms and/or AI services is highly desirable.
- Experience working with distributed data platforms and modern data architectures, such as Apache Spark, Databricks, Kafka, Delta Lake, or similar is a desirable.
- Experience in data science and practical experience applying AI/ML models is a plus.
Additional Notes:
This position will follow a hybrid work model.
Talkdesk is pioneering a new era of Customer Experience Automation (CXA), redefining how the world’s most admired brands interact with their customers through AI. Our global team of courageous innovators is customer-obsessed, building AI-first solutions that put empathy, trust, and transparency at the center of every interaction. We foster an inclusive culture where diverse perspectives drive our success and every voice belongs. Combining the stability of a global leader with the agility of a disruptor, Talkdeskers are empowered with the autonomy to drive meaningful impact, while giving back to the communities and environment around us.
Talkdesk has been recognized as a Leader in the Gartner® Magic Quadrant™ for Contact Center as a Service (CCaaS) and in the G2 Overall Grid® Reports for AI Agents and Contact Center. With seven consecutive years on the Forbes Cloud 100 and multiple AI Breakthrough awards, there has never been a more exciting time to join us as we shape the future of customer experience automation!
Work Environment and Physical Requirements:
Primarily office-environment work, extended periods of sitting or standing, computer-based work. Limited lifting, and equipment usage limited to computer-related equipment (keyboards, mouse, etc.)
The Talkdesk story hinges on empathy and acceptance. It is the shared goal among all Talkdeskers to empower a new kind of customer hero through our innovative software solution, and we firmly believe that the best path to success for our mission is inclusivity, diversity, and genuine acceptance. To that end, we will hire, promote, work along, cheer for, bond with, and warmly welcome into the Talkdesk family all persons without regard to ethnic and racial identity, indigenous heritage, national origin, religion, gender, gender identity, gender expression, sexual orientation, age, disability, marital status, veteran status, genetic information, or any other legally protected status.
Ready to apply?
Apply to Talkdesk
About this job
Teamwork plays an integral role in the success of our tech strategy. In JUMO, our teams have exposure to a broad range of the best new technology, and are trusted with the autonomy and flexibility to explore, innovate and find creative solutions to interesting challenges. With this, everyone has the opportunity to contribute to our mission of enabling equal access to finance opportunities. We have chosen our tech stack carefully and believe in using the best tools out there.
Our software engineering team is responsible for building our market-leading banking as a service platform & products, enabling real-time access to funds at the lowest possible operating cost. When integrated into JUMO’s platform, it enables our partners to offer loans, savings and a wide range of financial choices to a new group of customers.
As a Junior Software Engineer, you will be accountable for solving complex technical problems with solutions that are scalable, testable, maintainable, and efficient, whilst continuing to improve our engineering practices. This position reports to a Tech Lead.
You will
- You will deliver across the SDLC to build a highly scalable distributed system
- Assist in defining the team's roadmap in line with the company and technology vision.
- Architect services and systems using well accepted design patterns to allow for iterative, autonomous development and future scaling.
- Design, implement, test, deploy, and support our products and services.
- Review code developed by other developers and provide feedback.
- Guide the team to consistently write production-ready code that is easily testable, easily understood by other developers and accounts for edge cases and errors.
- Anticipate and communicate blockers, delays and cost ballooning within their team’s projects, before they require escalation.
- Contribute to existing documentation or educational content and drive best practices and engineering excellence.
You will need
- 1 - 2 years’ of experience with Kotlin / Java / Scala, and a cloud-based infrastructure, ideally AWS. Python experience will be an added advantage.
- Experience designing, developing and testing software.
- Some experience with the design and development of high-volume/low-latency services.
- Business and operational awareness.
- Good communication skills & EQ – able to work in a diverse team.
We ask a lot of each other at JUMO, but we give a lot too.
You will love
- Work in an agile cross-functional team, delivering quality code you can be proud of.
- Work with a modern but pragmatic Tech Stack (i.e. Kotlin + Spring Boot for Backend, TypeScript + React for Web and Mobile, Docker, Terraform, Kubernetes, Kafka, Flink, Datadog, GitHub Actions + ArgoCD for CI/CD, AWS), building a highly scalable distributed system
- Ensure consistency and accuracy when required.
- Led and supported by an experienced, hands-on Tech Lead.
- Collaborating with smart, engaging people.
- Working for impact.
- Growing and learning continuously, with loads of encouragement and support.
- Boldly taking risks as we navigate new challenges.
- Flexible work practices enabling your best delivery.
- Being autonomous and empowered to lead.
Remote First
Our environment is designed to foster innovation and enable collaboration. We operate a remote-first approach that enables us with the flexibility to work and live where we are most productive. We work between the UTC and UTC+3 time zones and currently have team members based in South Africa, Portugal and Kenya.
Diversity and Inclusion
At JUMO, we firmly believe that diversity strengthens our teams. We are dedicated to fostering an inclusive recruitment process that cultivates an environment where all individuals can be authentic, collaborate, and thrive.
Ready to apply?
Apply to JUMO
Principal Software Engineer (Networking) - Platform
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Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.
What Is The Role:
As part of the Platform Engineering department, the Traffic team is crafting, building, and improving the multi-cloud platform at scale for Elastic Cloud Hosted and Serverless. We grow and mature our distributed network services and solutions for multiple cloud service provider platforms. We are built on Kubernetes, Go/Scala, and custom orchestration architectures. In your daily life with us, you will participate in coding, innovating technical designs, crafting solutions, improving resilience, and prioritizing security, bug fixes, and features. For example, Debugging Azure Networking for Elastic Cloud Serverless is part of our efforts, and we want your experience to contribute to a truly exceptional customer experience!
What You Will Be Doing:
- Taking an engineering approach in leading technical initiatives for automating network engineering efforts to guarantee the reliability of the global Elastic infrastructure. .
- Growing our global Platform infrastructure to meet the increasing scaling demands by developing and maintaining software, codebases, tooling and automations.
- Collaborating in an environment with an inclusive approach, and focusing on operational perfection which uplifts others.
- Preventing repeated customer impact in response to major incidents and prioritised problem management. Our on call rotation is spread well, and we address complex customer concerns too.
What You Bring:
- 10+ years in Software Engineering with product success in delivering Cloud network solutions. You collaborate with engineers as an authority in identifying, implementing and delivering solutions. Experience in public cloud, Go and managed Kubernetes services is advantageous.
- Success and lessons of experiences from striving for 'progress not perfection' in the name of Platform reliability. We want to hear about your customer first approach in solving operational problems for both today and the future.
- Passion for developing solutions that involve inclusive communication methods to grow and strengthen partner and team relationships. Examples of working in distributed teams or working remotely is desirable.
Bonus Points:
You don't need to have all of these items, but these represent the types of work you will do as a Software Engineer at Elastic.
- You have designed and built a SaaS product in a public cloud ideally built using Infrastructure-as-Code tooling such as Crossplane or Terraform
- You have built Kubernetes-at-scale infrastructure, ideally across multiple cloud providers, and the vital automation to support it.
- You have written product features or functions in Golang or other programming languages.
- You have worked with containerized services (such as Docker.)
- You have proven results in leading and improving cross-team engineering initiatives.
- You have experience in system administration with professional skills in Linux on distributed systems at scale.
- You have diagnosed or designed, implemented and created solutions with the Elastic Stack.
- You are experienced in a self-organizing and sharing in a globally distributed team environment.
- You strengthen team members in bringing out the best of each other by uplifting others with coaching and mentoring.
Compensation for this role is in the form of base salary. This role does not have a variable compensation component.
The typical starting salary range for new hires in this role is listed below. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below.
These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future.
An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.
Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being.
Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is listed below.
These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future.
An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.
Additionally, this role is still eligible to participate in Elastic’s equity plan, Registered Retirement Savings Plan (RRSP), and a range of other benefits offered with a holistic emphasis on employee well-being. If you need additional details on our benefits, please review the Canada Benefits page on Wiki.
Additional Information - We Take Care of Our People
As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do.
We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.
- Competitive pay based on the work you do here and not your previous salary
- Health coverage for you and your family in many locations
- Ability to craft your calendar with flexible locations and schedules for many roles
- Generous number of vacation days each year
- Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
- Up to 40 hours each year to use toward volunteer projects you love
- Embracing parenthood with minimum of 16 weeks of parental leave
Different people approach problems differently. We need that. Elastic is an equal opportunity/affirmative action employer committed to diversity, equity, and inclusion. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation.
We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co We will reply to your request within 24 business hours of submission.
Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster)
Elasticsearch develops and distributes encryption software and technology that is subject to U.S. export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Russia, Syria, the Crimea Region of Ukraine, the Donetsk People’s Republic (“DNR”), and the Luhansk People’s Republic (“LNR”). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic.
Please see here for our Privacy Statement.
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Iterable is the leading AI-powered customer engagement platform that helps leading brands like Redfin, SeatGeek, Priceline, Calm, and Box create dynamic, individualized experiences at scale. Our platform empowers organizations to activate customer data, design seamless cross-channel interactions, and optimize engagement—all with enterprise-grade security and compliance. Today, nearly 1,200 brands across 50+ countries rely on Iterable to drive growth, deepen customer relationships, and deliver joyful customer experiences.
Our success is powered by extraordinary people who bring our core values—Trust, Growth Mindset, Balance, and Humility—to life. We foster a culture of innovation, collaboration, and inclusion, where ideas are valued and individuals are empowered to do their best work. That’s why we’ve been recognized as one of Inc’s Best Workplaces and Fastest Growing Companies, and were recognized on Forbes’ list of America’s Best Startup Employers in 2022. Notably, Iterable has also been listed on Wealthfront’s Career Launching Companies List and has held a top 10 ranking on the Top 25 Companies Where Women Want to Work.
With a global presence—including offices in San Francisco, New York, Denver, London, and Lisbon, plus remote employees worldwide—we are committed to building a diverse and inclusive workplace. We welcome candidates from all backgrounds and encourage you to apply. Learn more about our story and mission on our Culture and About Us pages. Let’s shape the future of customer engagement together!
How you will make an impact:
As a Software Engineer II at Iterable, you'll complete smaller projects autonomously, with regular oversight on new problems or undefined projects. You will prioritize activities with limited guidance while understanding how your tasks contribute to the team's project goals. You will proactively seek guidance from team members or managers when an answer is not known, form opinions while seeking input from a diverse group of team members, and learn to proactively anticipate small roadblocks to accomplishing tasks.
How you will make a difference:
- Complete assigned tasks that are comprehensive and thought out
- Proactively collaborate with team members to find the best solutions
- Form opinions while seeking input from a diverse group of team members on how to solve a problem
- Recommend solutions to enhance existing processes and understand resources available to overcome unforeseen issues
- Learn to proactively anticipate small roadblocks to accomplishing tasks and use knowledge of business unit processes to navigate
- Learn to manage expectations and accurately gauge effort needed to accomplish objectives
We are looking for people who have:
- 3+ years relevant software development experience.
- Experience building production-ready, scalable web applications.
- Proficiency in at least one modern programming language (ideally Scala and/or Java)
- Experience with Elasticsearch and/or other relevant technologies like Postgres.
- Desire to work in a highly remote/distributed but collaborative environment. (Iterable has offices in San Francisco, Denver, New York and Lisbon but the vast majority of Engineering has chosen to work remotely)
- Willingness to take on-call responsibilities.
- Fluency in English (verbal and written).
- Legally authorized to work in the EU.
Our Technology Stack:
- Programming Language: Scala
- Databases: Elasticsearch, Postgres, Redis, CRDB
- Infrastructure: Pulsar, Kafka, AWS
- Other Relevant Technologies: Docker / Kubernetes, React
Bonus Points
- Experience with End-to-End, Integration, and Performance testing
- Exposure to enterprise systems
- Worked in a company with a strong US presence
What we offer
- Competitive salaries & meaningful equity
- Private Medical Insurance
- Life/Risk Assurance
- Meal Allowance: 8.55€ per day
- Community Days (days for us to give back to the community)
- Paid Annual Leave (22 days)
- Global Lifestyle Reimbursement Account
- Paid Sabbatical
- Complete laptop workstation
Recruitment Disclaimer:
Please be aware that Iterable, Inc. (“Iterable”) and our official professional recruiting agencies and platforms do not:
- Send job offers from free email services like Gmail, Yahoo mail, Hotmail, etc.
- Request money, fees, or payment of any kind from prospective candidates to apply to Iterable, for employment, or for the recruitment process (e.g. for home office supplies, or training, etc.).
- Request or require personal documents like bank account details, tax forms, or credit card information as part of the recruitment process prior to the candidate signing an engagement letter or an employment contract with Iterable.
You may see all job vacancies on our official Iterable channels:
- Official Iterable website, Careers page: https://iterable.com/careers/
- Official LinkedIn Jobs page: https://www.linkedin.com/company/iterable/jobs/
Iterable is not affiliated in any way to these impostors and we hereby confirm that such individuals/entities are not authorized, encouraged, or sponsored to act on behalf of Iterable. Such job opportunities are entirely fake and not valid. Therefore, please disregard any written or oral request for a job offer or an interview that you believe is or might be fraudulent or suspicious and immediately reach out to us via email at talent-ops@iterable.com upon receiving a suspicious job offer.
Criminal and/or civil liabilities may arise from such actions, and Iterable expressly reserves the right to take legal action, including criminal action, against such individuals/entities whenever such phenomena occur. In any case, please note that under no circumstances shall Iterable and any of its affiliates be held liable or responsible for any claims, losses, damages, expenses or other inconvenience resulting from or in any way connected to the actions of these impostors.
Iterable is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Iterable does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Iterable also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance and other similar state laws and local ordinances, and its internal policy, Iterable will also consider for employment qualified applicants with arrest and conviction records.
Ready to apply?
Apply to Iterable
Our mission is to improve developers’ experience by giving them the tools to manage the entire software lifecycle and to be self-sufficient.
To help with this we are building our own internal PaaS using the latest technologies like Kubernetes, Prometheus, Kotlin and others. This platform is an important pillar in Talkdesk’s engineering effort and helps us deliver better, faster and more reliable solutions for our customers.
Responsibilities:
Design, build, harden, and maintain key infrastructure parts of our platform (from the lifecycle of the infrastructure to each one of our Kubernetes clusters)
Support the processes that enable the safe upgrade and update of each component of our compute infrastructure
Work with GitOps industry-leading tools such as Spacelift and/or Atlantis
Help automate safe deployment practices by using industry-leading tools such as GitHub Actions, ArgoCD, Argo Rollouts, Helm Charts, etc
Help automate infrastructure provisioning and other engineering processes by working on automations built on top of an engineering platform written in GitHub Actions
Coach and up-skill other engineering team members
Solve challenging technical problems and put your skills to the test every day; see an immediate impact of your work and the value you've created for other engineers
Automate every aspect of our infrastructure to remove as much human intervention as possible
Develop effective tooling, alerts, and responses to both identify and address reliability risks
Drive and promote protocols on production readiness and operational excellence
Partner with product engineering teams to debug production outages and carry out action items to improve the reliability of those systems
Advocate for automated testing, continuous integration and delivery, feature toggles, and progressive rollouts
Plan for the growth of Talkdesk’s infrastructure.
Skills and Qualifications:
Understand large-scale complex systems from a reliability perspective
Passion for producing clean, standards-compliant, secure code
Bringing a developer mindset and applying it to infrastructure
Know your way around Linux/Unix systems
Experience with Kubernetes
Experience with Infrastructure as code tools like Terraform and Ansible
Experience building software with a programming language such as Java, Kotlin, Scala, or any other JVM-based languages
Experience writing scripts for automating the execution of certain tasks with a programming language like Ruby, Python, Bash, or any other scripting language
Experience with at least one relational and non-relational databases (ex.: PostgreSQL, MySQL, MongoDB, Redis, ElasticSearch)
Ability to identify time-consuming and error-prone manual tasks and then build/leverage tooling to automate them
Ability to identify root causes of instability in a large-scale distributed system across stacks
Nice to haves / Pluses:
Experience with cloud-based solutions such as Amazon AWS, Google Cloud, or Microsoft Azure
Experience with Go programming language
Additional Notes:
This position will follow a hybrid work model.
Talkdesk is pioneering a new era of Customer Experience Automation (CXA), redefining how the world’s most admired brands interact with their customers through AI. Our global team of courageous innovators is customer-obsessed, building AI-first solutions that put empathy, trust, and transparency at the center of every interaction. We foster an inclusive culture where diverse perspectives drive our success and every voice belongs. Combining the stability of a global leader with the agility of a disruptor, Talkdeskers are empowered with the autonomy to drive meaningful impact, while giving back to the communities and environment around us.
Talkdesk has been recognized as a Leader in the Gartner® Magic Quadrant™ for Contact Center as a Service (CCaaS) and in the G2 Overall Grid® Reports for AI Agents and Contact Center. With seven consecutive years on the Forbes Cloud 100 and multiple AI Breakthrough awards, there has never been a more exciting time to join us as we shape the future of customer experience automation!
Work Environment and Physical Requirements:
Primarily office-environment work, extended periods of sitting or standing, computer-based work. Limited lifting, and equipment usage limited to computer-related equipment (keyboards, mouse, etc.)
The Talkdesk story hinges on empathy and acceptance. It is the shared goal among all Talkdeskers to empower a new kind of customer hero through our innovative software solution, and we firmly believe that the best path to success for our mission is inclusivity, diversity, and genuine acceptance. To that end, we will hire, promote, work along, cheer for, bond with, and warmly welcome into the Talkdesk family all persons without regard to ethnic and racial identity, indigenous heritage, national origin, religion, gender, gender identity, gender expression, sexual orientation, age, disability, marital status, veteran status, genetic information, or any other legally protected status.
Ready to apply?
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Feedzai is the world’s first RiskOps platform for financial risk management, and the market leader in safeguarding global commerce with today’s most advanced cloud-based risk management platform, powered by machine learning and artificial intelligence. Feedzai is securing the transition to a cashless world while enabling digital trust in every transaction and payment type. The world’s largest banks, processors, and retailers trust Feedzai to protect trillions of dollars and manage risk while improving the customer experience for everyday users, without compromising privacy. Feedzai is a Series D company and has raised $282M to date. With a valuation of $2 billion, our technology protects 1 billion consumers and 90 billion transactions each year.
The Engineering (Tech) Team is responsible for all Feedzai product development. Together with Product Management and Data Science, we build the next generation of tools to catch fraud in real-time with a machine learning first approach. Formed by engineers and managed by engineers, at Feedzai, you will find one of the most talented teams out there, from junior to senior engineers.
We are fast-paced and provide a safe, open, and collaborative environment that encourages us to lean in, try new things and discover our potential with continuous learning for everyone.
While building the best value for our customers, you will work with a wide range of technical challenges. Such as building distributed systems that need to operate 24/7 and ultra-low latencies, solving UI/UX problems to help fraud analysts to fight fraud more efficiently. In addition, designing extensive databases from relational, NoSQL and graphs, validate and develop new data science techniques and algorithms.
You:
As an AI Engineer, you will be a core contributor to the design and development of GenAI-based product frameworks and services that enable natural language interaction, intelligent automation, and agent-based workflows across Feedzai’s ecosystem. You will work at the intersection of backend engineering, applied AI, and platform development, helping multiple product teams build AI-powered features in a secure, scalable, and standardized way.
You will work on foundational technology that enables multiple product teams to innovate faster and deliver intelligent, agent-driven capabilities to customers. Your work will directly influence Feedzai’s product strategy and the way users interact with our platform.
This role is not about experimentation in isolation. It is about bringing Generative AI into production-grade platforms that serve mission-critical financial systems, with a strong focus on reliability, security, and user trust.
- Play a key role in shaping how Generative AI transforms Feedzai’s products, user journeys, and internal engineering practices, introducing new interaction paradigms and accelerating how innovation reaches customers.
- Thrive at the boundary between software engineering and applied AI. You are curious about how Generative AI can fundamentally change how users interact with complex systems and enjoy turning cutting-edge ideas into robust, production-ready capabilities.
- Embrace modern engineering workflows and actively use Generative AI tools (such as Cursor, Copilot, or similar) to accelerate development, explore solutions, and iterate quickly. You see GenAI not only as a product capability but also as a force multiplier for how engineering itself is done.
- Combine speed with rigor: moving fast while maintaining high standards for code quality, security, and production readiness.
- Have a strong builder mindset: you prototype quickly and evolve solutions into scalable platform capabilities
- Think in platforms, not just features. You enjoy building reusable frameworks, APIs, and infrastructure that empower other teams and set technical direction across products.
- Comfortable navigating ambiguity, exploring new problem spaces, and helping shape both technical direction and product vision in an emerging domain.
Our philosophy across Engineering includes the following key ideas, which you will have a key role promoting in your team:
- Teams operate with a “you build it, you run it” DevOps mindset, taking end-to-end ownership of development, deployment, and operations. You'll drive a culture focused on automation, observability, and operational excellence, enabling continuous delivery with confidence.
- Architecture evolves towards a decoupled, microservice-based architecture, positioning it to scale efficiently in a multi-tenant, cloud-native environment. This effort is central to Feedzai’s long-term vision and product evolution
Your Day to Day:
- Design and implement core GenAI platform components that enable intelligent agents and AI-driven user experiences across Feedzai products.
- Architect and build backend services and APIs that integrate large language models into critical product workflows in a secure and scalable way.
- Define technical standards and best practices for agent development, model access, authentication, security, and governance.
- Drive architectural decisions for GenAI workloads, balancing performance, cost, reliability, and user experience.
- Collaborate closely with product managers, designers, data scientists, and senior engineers to shape AI-powered user journeys and product capabilities.
- Ensure strong observability, cost control, and operational stability of GenAI systems in production.
- Prototype new interaction paradigms using natural language, automation, and agent-based systems and mature them into long-term platform services.
- Own services throughout their lifecycle following DevOps principles (“you build it, you run it”).
- Continuously evaluate emerging AI technologies and translate them into practical, scalable engineering solutions.
- Leverage GenAI-assisted development tools to prototype, implement, and iterate on platform capabilities quickly, while maintaining strong engineering and security standards.
You Have & You Know-how:
- 5+ years of experience building complex production software systems.
- Strong programming skills in Java and Python; Scala are a plus.
- Proven experience designing and operating backend services and APIs in cloud-native environments.
- Hands-on experience with Generative AI systems (LLMs, embeddings, vector databases, prompt pipelines, or agent frameworks).
- Strong understanding of distributed systems, reliability engineering, and security principles.
- Experience with continuous delivery, monitoring, and operational ownership of services.
- Ability to work autonomously and take ownership of ambiguous, high-impact technical problems.
- Strong technical communication and collaboration skills.
Preferred/Valued Qualifications and Skills:
- Experience building AI-powered products or platforms used by external customers.
- Familiarity with LLM gateways, orchestration frameworks, or agent-based architectures.
- Experience with Kubernetes and cloud-native architectures (AWS preferred).
- Understanding of cost optimization and observability for AI workloads.
- Background in fintech, fraud prevention, or other mission-critical domains.
- Contributions to open-source AI or distributed systems projects.
The Product Team builds our product to disrupt the financial crime industry from a data-led approach. We partner with our clients using a holistic lens and have result-driven solutions to manage financial risk with a cloud-first platform and a world-class UX interface. Being part of this team, you have a voice in planning, strategizing, and challenging the status quo. Your thoughts and ideas are valued. Our fast-paced and open environment encourages us to lean in, try new things, and discover our potential. We define and act on what could be in tomorrow's world, not on what is today. Join Us!
#LI-Remote #LI-MG3
Your First 30-Days at Feedzai:
You will be immersed in our brand with training, connections, and one-on-one time with your manager. You may shadow your colleagues virtually or onsite at an office depending on where you work as you are supported through your Feedzai journey. In addition, you will have access to a ton of information to give you history, context, and all the knowledge you can handle about Feedzai and the team. Finally, you will start working on projects and collaborating on work currently being done. We can't wait to have you join the team!
Feedzai is an Equal Opportunity Employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Feedzai does not accept unsolicited resumes from recruiters or employment agencies.
Feedzai will use the personal data you provide us with by filling out this form for reviewing your application and to potentially negotiate a contract with you. Your personal data will be retained by Feedzai for 24 months following your application. Please see our Privacy Notice available at https://www.feedzai.com/legal/feedzai-candidate-privacy-policy/ and https://www.feedzai.com/legal/feedzai-california-candidates-privacy-policy/ for more information on how we process your personal data.
Ready to apply?
Apply to Feedzai
Feedzai is the world’s first RiskOps platform for financial risk management, and the market leader in safeguarding global commerce with today’s most advanced cloud-based risk management platform, powered by machine learning and artificial intelligence. Feedzai is securing the transition to a cashless world while enabling digital trust in every transaction and payment type. The world’s largest banks, processors, and retailers trust Feedzai to protect trillions of dollars and manage risk while improving the customer experience for everyday users, without compromising privacy. Feedzai is a Series D company and has raised $282M to date. With a valuation of $2 billion, our technology protects 1 billion consumers and 90 billion transactions each year.
The Engineering (Tech) Team is responsible for all Feedzai product development. Together with Product Management and Data Science, we build the next generation of tools to catch fraud in real-time with a machine learning first approach. Formed by engineers and managed by engineers, at Feedzai, you will find one of the most talented teams out there, from junior to senior engineers.
We are fast-paced and provide a safe, open, and collaborative environment that encourages us to lean in, try new things and discover our potential with continuous learning for everyone.
While building the best value for our customers, you will work with a wide range of technical challenges. Such as building distributed systems that need to operate 24/7 and ultra-low latencies, solving UI/UX problems to help fraud analysts to fight fraud more efficiently. In addition, designing extensive databases from relational, NoSQL and graphs, validate and develop new data science techniques and algorithms.
Feedzai’s Pulse Engineering organization powers the Risk Engine that evaluates transactions in real-time based on strategies configured by data scientists and fraud analysts. At the same time, the Datascience Framework (DSF) provides a platform for clients to design, test, and promote these strategies into production. DSF runs complex, high-volume data workloads - Spark jobs on EMR or Kubernetes, Hadoop ecosystem components (HDFS/YARN), data ingestion pipelines via Firehose and Glue into S3, and interactive workflows through JupyterLabs and the DS API.
You:
As a Senior Data Engineer in Pulse Engineering, you will ensure the stability, scalability, and performance of DSF, working at the intersection of distributed systems, big data engineering, and developer experience. Your work will ensure that DS workloads run reliably, efficiently, and at scale, directly supporting the Risk Engine in production.
You are a Big Data specialist with deep hands-on expertise in Apache Spark and distributed data systems. You know how to tune jobs, troubleshoot cluster behaviour, and design scalable data workflows. At the same time, you’re a software engineer at heart — someone who writes clean, maintainable code, understands APIs, and can build platform components in Java with first-principles engineering discipline. You take pride in operating what you build, debugging complex distributed systems, and enabling data scientists and analysts with a platform that is reliable, predictable, and performant.
Our philosophy across Engineering includes the following key ideas, which you will have a key role promoting in your team:
- Teams operate with a “you build it, you run it” DevOps mindset, taking end-to-end ownership of development, deployment, and operations. You'll drive a culture focused on automation, observability, and operational excellence, enabling continuous delivery with confidence.
- Architecture evolves towards a decoupled, microservice-based architecture, positioning it to scale efficiently in a multi-tenant, cloud-native environment. This effort is central to Feedzai’s long-term vision and product evolution
Your Day-to-Day
- Re-architect and scale existing big data processing components powering DSF.
- Analyse workload patterns (Spark jobs, notebook activity, DS API usage) and drive performance, reliability, and cost improvements.
- Ensure stability of Spark jobs running on EMR or Kubernetes clusters.
- Operate and evolve Hadoop ecosystem components (HDFS, YARN) and Spark runtimes.
- Maintain and improve ingestion pipelines between Runtime and DSF (Firehose, Glue → S3).
- Improve the developer and power-user experience across JupyterLabs and the DS API.
- Collaborate with product engineers, data scientists, and platform teams on DSF roadmap execution.
- Own services throughout their lifecycle following DevOps practices (“you build it, you run it”) and participate in an on-call rotation for our mission-critical platform, taking end-to-end ownership to ensure 24/7 reliability, with dedicated compensation.
You Have & You Know-How
- 5+ years of experience building and operating distributed big data systems
- Strong experience with Apache Spark - tuning, debugging, orchestration
- Strong programming fundamentals (Java required; Scala or Python a plus)
- Solid knowledge of the Hadoop ecosystem (HDFS, YARN)
- Experience operating Linux-based systems in cloud environments
- Familiarity with JupyterHub/JupyterLabs workflows
- Experience designing and operating ETL/ELT pipelines
- Comfort with continuous delivery, monitoring, and on-call responsibilities
- Ability to work autonomously on complex technical challenges
Preferred/Valued Qualifications and Skills:
- Experience running Spark on EMR or Kubernetes.
- Experience with Kubernetes, AWS S3, AWS Glue, Nessie, Trino, Spark, Kafka, Iceberg and Airflow
- Experience building data pipelines or automation for data-heavy workflows
- Contributions to OSS, especially in the Big Data ecosystem
- Experience developing or maintaining DS/ML engineering platforms.
The Product Team builds our product to disrupt the financial crime industry from a data-led approach. We partner with our clients using a holistic lens and have result-driven solutions to manage financial risk with a cloud-first platform and a world-class UX interface. Being part of this team, you have a voice in planning, strategizing, and challenging the status quo. Your thoughts and ideas are valued. Our fast-paced and open environment encourages us to lean in, try new things, and discover our potential. We define and act on what could be in tomorrow's world, not on what is today. Join Us!
#LI-Remote #LI-MG3
Your First 30-Days at Feedzai:
You will be immersed in our brand with training, connections, and one-on-one time with your manager. You may shadow your colleagues virtually or onsite at an office depending on where you work as you are supported through your Feedzai journey. In addition, you will have access to a ton of information to give you history, context, and all the knowledge you can handle about Feedzai and the team. Finally, you will start working on projects and collaborating on work currently being done. We can't wait to have you join the team!
Feedzai is an Equal Opportunity Employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Feedzai does not accept unsolicited resumes from recruiters or employment agencies.
Feedzai will use the personal data you provide us with by filling out this form for reviewing your application and to potentially negotiate a contract with you. Your personal data will be retained by Feedzai for 24 months following your application. Please see our Privacy Notice available at https://www.feedzai.com/legal/feedzai-candidate-privacy-policy/ and https://www.feedzai.com/legal/feedzai-california-candidates-privacy-policy/ for more information on how we process your personal data.
Ready to apply?
Apply to Feedzai
About this job
Teamwork plays an integral role in the success of our tech strategy. In JUMO, our teams have exposure to a broad range of the best new technology, and are trusted with the autonomy and flexibility to explore, innovate and find creative solutions to interesting challenges. With this, everyone has the opportunity to contribute to our mission of enabling equal access to finance opportunities. We have chosen our tech stack carefully and believe in using the best tools out there.
Our software engineering team is responsible for building our market-leading banking as a service platform & products, enabling real-time access to funds at the lowest possible operating cost. When integrated into JUMO’s platform, it enables our partners to offer loans, savings and a wide range of financial choices to a new group of customers.
As a Software Engineer, you will be accountable for solving complex technical problems with solutions that are scalable, testable, maintainable, and efficient, whilst continuing to improve our engineering practices. This position reports to a Tech Lead.
You will
- Deliver across the SDLC to build a highly scalable distributed system.
- Assist in defining the team's roadmap in line with the company and technology vision.
- Architect services and systems using well accepted design patterns to allow for iterative, autonomous development and future scaling.
- Design, implement, test, deploy, and support our products and services
- Review code developed by other developers and provide feedback. Guide the team to consistently write production-ready code that is easily testable, easily understood by other developers and accounts for edge cases and errors.
- Anticipate and communicate blockers, delays and cost ballooning within their team’s projects, before they require escalation.
- Contribute to existing documentation or educational content and drive best practices and engineering excellence
You will need
- A Computer Science degree
- Experience with Kotlin / Java / Scala, and a cloud-based infrastructure, ideally AWS. Python experience will be an added advantage
- Experience designing, developing and testing software
- Extensive hands-on experience with the design and development of high-volume/low-latency services
- Business and operational awareness
- Good communication skills & EQ – able to work in a diverse team
We ask a lot of each other at JUMO, but we give a lot too.
You will love
- Work in an agile cross-functional team, delivering quality code you can be proud of
- Work with a modern but pragmatic Tech Stack (i.e. Kotlin + Spring Boot for Backend, TypeScript + React for Web and Mobile, Docker, Terraform, Kubernetes, Kafka, Flink, Datadog, GitHub Actions + ArgoCD for CI/CD, AWS), building a highly scalable distributed system
- Develop as a mentor, helping your junior colleagues grow as professionals
- Ensure consistency and accuracy when required
- Led and supported by an experienced, hands-on Tech Lead
- Collaborating with smart, engaging people
- Working for impact
- Growing and learning continuously, with loads of encouragement and support
- Boldly taking risks as we navigate new challenges
- Flexible work practices enabling your best delivery
- Being autonomous and empowered to lead
Remote First
Our environment is designed to foster innovation and enable collaboration. We operate a remote-first approach that enables us with the flexibility to work and live where we are most productive.
We work between the UTC and UTC+3 time zones and currently have team members from South Africa, Portugal and Kenya.
Diversity and Inclusion
At JUMO, we firmly believe that diversity fortifies our teams. We are dedicated to fostering an inclusive recruitment process that cultivates an environment where individuals from all walks of life can collaborate, thrive, and express their authentic selves.
Ready to apply?
Apply to JUMO
Iterable is the leading AI-powered customer engagement platform that helps leading brands like Redfin, SeatGeek, Priceline, Calm, and Box create dynamic, individualized experiences at scale. Our platform empowers organizations to activate customer data, design seamless cross-channel interactions, and optimize engagement—all with enterprise-grade security and compliance. Today, nearly 1,200 brands across 50+ countries rely on Iterable to drive growth, deepen customer relationships, and deliver joyful customer experiences.
Our success is powered by extraordinary people who bring our core values—Trust, Growth Mindset, Balance, and Humility—to life. We foster a culture of innovation, collaboration, and inclusion, where ideas are valued and individuals are empowered to do their best work. That’s why we’ve been recognized as one of Inc’s Best Workplaces and Fastest Growing Companies, and were recognized on Forbes’ list of America’s Best Startup Employers in 2022. Notably, Iterable has also been listed on Wealthfront’s Career Launching Companies List and has held a top 10 ranking on the Top 25 Companies Where Women Want to Work.
With a global presence—including offices in San Francisco, New York, Denver, London, and Lisbon, plus remote employees worldwide—we are committed to building a diverse and inclusive workplace. We welcome candidates from all backgrounds and encourage you to apply. Learn more about our story and mission on our Culture and About Us pages. Let’s shape the future of customer engagement together!
How you will make a difference:
- Contribute to team roadmap and planning sessions to enhance customer value of the product.
- Collaborate with cross-functional teams, product, and design to conceptualize and build new product features.
- Be personally responsible for the entire lifecycle of projects, from initial engineering design and planning through development, deployment, and success in production.
- Develop solutions to scale a complex platform that reaches millions of users.
- Contribute to the code review process by offering suggestions for improvement, helping to define and enforce coding standards.
- Leverage design discussions and other team engagements as an opportunity to level up your team and the product.
We are looking for people who have:
- 5+ years relevant software development experience.
- Relevant industry experience building production-ready, scalable web applications.
- Proficiency in at least one modern programming language (ideally Scala and/or Java)
- Extensive experience with Elasticsearch and/or other relevant technologies like Postgres.
- Desire to work in a highly remote/distributed but collaborative environment. (Iterable has offices in San Francisco, Denver, and New York, but the vast majority of Engineering has chosen to work remotely)
- Willingness to take on-call responsibilities.
- Fluency in English (verbal and written).
- Legally authorized to work in the EU.
Our Technology Stack:
- Programming Language: Scala
- Databases: Elasticsearch, Postgres, Redis, CRDB
- Infrastructure: Pulsar, Kafka, AWS
- Other Relevant Technologies: Docker / Kubernetes, React
Bonus Points
- Experience with End-to-End, Integration, and Performance testing
- Previously built enterprise systems at scale
- Worked in a company with a strong US presence
What we offer
- Competitive salaries & meaningful equity
- Private Medical Insurance
- Life/Risk Assurance
- Meal Allowance: 8.55€ per day
- Community Days (days for us to give back to the community)
- Paid Annual Leave (22 days)
- Global Lifestyle Reimbursement Account
- Paid Sabbatical
- Complete laptop workstation
Recruitment Disclaimer:
Please be aware that Iterable, Inc. (“Iterable”) and our official professional recruiting agencies and platforms do not:
- Send job offers from free email services like Gmail, Yahoo mail, Hotmail, etc.
- Request money, fees, or payment of any kind from prospective candidates to apply to Iterable, for employment, or for the recruitment process (e.g. for home office supplies, or training, etc.).
- Request or require personal documents like bank account details, tax forms, or credit card information as part of the recruitment process prior to the candidate signing an engagement letter or an employment contract with Iterable.
You may see all job vacancies on our official Iterable channels:
- Official Iterable website, Careers page: https://iterable.com/careers/
- Official LinkedIn Jobs page: https://www.linkedin.com/company/iterable/jobs/
Iterable is not affiliated in any way to these impostors and we hereby confirm that such individuals/entities are not authorized, encouraged, or sponsored to act on behalf of Iterable. Such job opportunities are entirely fake and not valid. Therefore, please disregard any written or oral request for a job offer or an interview that you believe is or might be fraudulent or suspicious and immediately reach out to us via email at talent-ops@iterable.com upon receiving a suspicious job offer.
Criminal and/or civil liabilities may arise from such actions, and Iterable expressly reserves the right to take legal action, including criminal action, against such individuals/entities whenever such phenomena occur. In any case, please note that under no circumstances shall Iterable and any of its affiliates be held liable or responsible for any claims, losses, damages, expenses or other inconvenience resulting from or in any way connected to the actions of these impostors.
Iterable is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Iterable does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Iterable also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance and other similar state laws and local ordinances, and its internal policy, Iterable will also consider for employment qualified applicants with arrest and conviction records.
Ready to apply?
Apply to Iterable
Who we are
At Fluxon, we believe that how you build matters as much as what you build. We help businesses navigate their most important technology decisions with confidence, and take responsibility for seeing them through. Founded by ex-Googlers and startup veterans, we’re proud to partner with teams behind some of the most ambitious products, including Google, OpenAI, Anthropic, Walmart and Stripe.
Our work spans strategy, design, and engineering — often in complex, AI-driven environments — where clarity, speed and quality are the standard. We use AI intentionally, applying it only where it adds real value and expands what’s possible. Care shapes everything we do.
Inside Fluxon, you’ll find a global, remote-first team of experienced builders, who are curious, kind and serious about their craft. We’re building a place where people can take ownership, solve problems that matter and do work they’re proud to stand behind. If you want to do your best work alongside people who care as much as you do, you’ll feel at home here.
The role is open to candidates preferably based in Lisbon, Portugal.
About the role
As an AI Engineer at Fluxon, you’ll take the lead in designing, building and deploying AI-powered applications for our clients.
You'll be responsible for:
- System Architecture: Design and implement end-to-end AI systems and their parts, including data ingestion, preprocessing, model inference, and output structuring
- Generative AI Development: Build and optimize RAG (Retrieval-Augmented Generation) systems and Agentic workflows using frameworks like LangChain, LangGraph, ADK (Agent Development Kit), Genkit
- Production Engineering: Deploy models to production environments (AWS/GCP/Azure) using Docker and Kubernetes, ensuring high availability and scalability
- Evaluation & Monitoring: Implement feedback loops to evaluate model performance (accuracy, hallucinations, relevance) and set up monitoring for drift in production
- Collaboration: Work closely with other engineers to integrate AI endpoints into the core product and with product managers to define AI capabilities
- Model Optimization: Fine-tune open-source models (e.g., Llama, Mistral) for specific domain tasks and optimize them for latency and cost
You'll work with technologies including:
Languages
- Python (Preferred)
- Java / C++ / Scala / R / JavaScript
AI / ML
- LangChain
- LangGraph
- Google ADK
- Genkit
- OpenAI API
- LLM - Large Language Model
- Vertex AI
Cloud & Infrastructure
- Platforms: Google Cloud Platform (GCP) or Amazon Web Services (AWS)
- Storage: Google Cloud Storage (GCS) or AWS S3
- Orchestration: Temporal, Kubernetes
Data Stores
- PostgreSQL
- Firestore
- MongoDB
Monitoring & Observability
- GCP Cloud Monitoring Suite
Qualifications
- 5+ years of industry experience in software engineering roles
- Strong proficiency in Python or any preferred AI programming language such as Scala, Javascript and Java
- Strong understanding of Transformer architectures, embeddings, and vector similarity search
- Experience integrating with LLM provider APIs (OpenAI, Anthropic, Google Vertex AI)
- Hands-on experience with agent workflows like LangChain, LangGraph
- Experience with Vector Databases and traditional SQL / NoSQL databases
- Familiarity with cloud platforms, preferably GCP or AWS
- Understanding of patterns like RAG (Retrieval-Augmented Generation), few-shot prompting, and Fine-Tuning
- Solid understanding of software development practices including version control (Git) and CI/CD
Nice to have:
- Experience with Google Cloud Platform (GCP) services, specifically Vertex AI, Firestore, and Cloud Functions
- Knowledge of prompt engineering techniques (Chain-of-Thought, ReAct, Tree of Thoughts)
- Experience building "Agentic" workflows where AI can execute tools or API calls autonomously
What we offer
- Remote-first, flexible work with a budget to set up a work space that works for you
- Localized healthcare coverage to support you and your family’s wellbeing
- Flexible paid time off with a minimum of 3 weeks per year (plus holidays)
- "No internal meetings" Fridays, so you can focus on deep, uninterrupted work
- A professional growth budget for learning that matters to you – whether it’s developing your technical skills or learning a new language
- A monthly wellness allowance to support your physical and mental health
- Annual company offsites, where we gather in person to build meaningful connections
- A competitive salary that reflects your expertise, impact and experience
- Profit-sharing, so you can benefit directly from the value we build together
- A paid sabbatical program, designed for rest, renewal and fresh perspective
Ready to apply?
Apply to Fluxon
Senior Data Consultant (m/f/*)
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Our Data & Engineering team is growing, and we’re now looking for a Senior Data Consultant (m/f/*) to join our team in Portugal, supporting our global growth.
As a Senior Data Consultant, you will combine deep hands-on experience in modern data platforms — particularly Databricks — with a strategic, client-oriented mindset. You’ll advise organizations on how to design, implement, and scale data-driven architectures, while guiding them through every stage of their digital transformation journey.
WHAT WE OFFER
- Flexible work options, including fully remote or hybrid arrangements (candidates must be located in Portugal)
- The chance to accelerate your career and work with outstanding colleagues in a collaborative, global learning community across three continents
- Opportunities to shape cutting-edge data projects and see your ideas implemented in real-world solutions
- Balance your work and personal life: choose to work from home, in the office, or in a hybrid setup
- Annual performance reviews and continuous feedback focused on collaboration and growth, not hierarchy
- A personalized development plan and professional advancement opportunities
- Access to learning resources — paid certifications, unlimited Udemy Business, and more
- Local, virtual, and global team events to connect with colleagues worldwide
WHAT YOU’LL DO
- Advise clients on the design and implementation of scalable data architectures using Databricks Lakehouse Platform, with a strong focus on Apache Spark, Delta Lake, and Unity Catalog
- Translate complex business requirements into data strategies, architecture blueprints, and technical roadmaps
- Design, implement, and optimize data pipelines for analytics, machine learning, and business intelligence workloads
- Collaborate with stakeholders — from executives to technical teams — to align data initiatives with business goals
- Ensure data quality, governance, and security best practices within Databricks and related ecosystems
- Support pre-sales and discovery activities by identifying client needs and defining technical approaches
- Mentor junior consultants and contribute to the growth of our Databricks and data consulting expertise
- Stay current with emerging technologies and trends in cloud data platforms and AI-driven analytics
WHAT YOU’LL BRING
- Proven experience in data consulting or architecture, with hands-on expertise in Databricks on Azure, AWS, or GCP
- Deep knowledge of Spark (PySpark/Scala), Delta Lake, and MLflow
- Strong programming skills in Python or Scala, and experience with CI/CD pipelines (GitHub Actions, Azure DevOps, etc.)
- Solid understanding of data modeling, distributed computing, and performance optimization in cloud environments
- Experience advising or working directly with enterprise clients on data modernization or cloud migration projects
- Familiarity with orchestration tools (e.g., Databricks Workflows, Airflow) and infrastructure-as-code (e.g., Terraform)
- Excellent communication and stakeholder management skills, with the ability to translate technical solutions into business value
- Professional proficiency in English (C1 level, written and spoken)
Did we pique your interest, or do you have any questions?
We’d love to hear from you — contact us at recruiting@ultratendency.com
ABOUT US
Ultra Tendency is a leading international Data Engineering consultancy specializing in Big Data, Cloud, Streaming, IIoT, and Microservices. We design, build, and operate large-scale, data-driven applications for major enterprises including the European Central Bank, HUK-Coburg, Deutsche Telekom, and Europe’s largest car manufacturer. Founded in Germany in 2010, Ultra Tendency has grown to 8 offices across 10 countries on 3 continents, serving a trusted and expanding client base.
We don’t just use technology—we create it. Our team contributes to over 20 open-source projects, including Ansible, Terraform, NiFi, and Kafka, making a visible impact on both technology and business. Enterprises choose Ultra Tendency because we solve the problems others cannot.
We thrive on challenges. Here, you’ll work on unique projects you won’t find elsewhere and become part of a knowledge-driven, supportive community—not a rigid hierarchy. Continuous learning, feedback, and collaboration drive both personal and professional growth, while maintaining a healthy work-life balance.
Ultra Tendency evaluates applications based on skills and business fit. We welcome candidates from all backgrounds, regardless of race, ethnicity, national or social origin, disability, sex, sexual orientation, or age.
Data privacy statement: Data Protection for Applicants – Ultra Tendency
Ready to apply?
Apply to Ultra Tendency
Senior Data Engineer - Databricks (m/f/*)
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Our Engineering community is growing, and we’re now looking for a Senior Data Engineer - Databricks (m/f/*) to join our team in Portugal, supporting our global growth.
As Senior Data Engineer (m/f/*), you design and optimize data processing algorithms on a talented, cross-functional team. You are familiar with the Apache open-source suite of technologies and want to contribute to the advancement of data engineering.
WHAT WE OFFER
- Flexible work options, including fully remote or hybrid arrangements (candidates must be located in Portugal)
- A chance to accelerate your career and work with outstanding colleagues in a supportive learning community split across 3 continents
- Contribute your ideas to our unique projects and make an impact by turning them into reality
- Balance your work and personal life through our workflow organization and decide yourself if you work at home, in the office, or on a hybrid setup
- Annual performance review, and regular feedback cycles, generating distinct value by connecting colleagues through networks rather than hierarchies
- Individual development plan, professional development opportunities
- Educational resources such as paid certifications, unlimited access to Udemy Business, etc.
- Local, virtual, and global team events, in which UT colleagues become acquainted with one another
WHAT YOU’LL DO
- Design, implement, and maintain scalable data pipelines using Databricks Lakehouse Platform, with a strong focus on Apache Spark, Delta Lake, and Unity Catalog.
- Lead the development of batch and streaming data workflows that power analytics, machine learning, and business intelligence use cases.
- Collaborate with data scientists, architects, and business stakeholders to translate complex data requirements into robust, production-grade solutions.
- Optimize performance and cost-efficiency of Databricks clusters and jobs, leveraging tools like Photon, Auto Loader, and Job Workflows.
- Establish and enforce best practices for data quality, governance, and security within the Databricks environment.
- Mentor junior engineers and contribute to the evolution of the team’s Databricks expertise.
WHAT YOU’LL BRING
- Deep hands-on experience with Databricks on Azure, AWS, or GCP, including Spark (PySpark/Scala), Delta Lake, and MLflow.
- Strong programming skills in Python or Scala, and experience with CI/CD pipelines (e.g., GitHub Actions, Azure DevOps).
- Solid understanding of distributed computing, data modeling, and performance tuning in cloud-native environments.
- Familiarity with orchestration tools (e.g., Databricks Workflows, Airflow) and infrastructure-as-code (e.g., Terraform).
- A proactive mindset, strong communication skills, and a passion for building scalable, reliable data systems.
- Professional English communication skills (C1-level, written and spoken).
Did we pique your interest, or do you have any questions?
We want to hear from you: contact us at recruiting@ultratendency.com
ABOUT US
Ultra Tendency is a leading international Data Engineering consultancy specializing in Big Data, Cloud, Streaming, IIoT, and Microservices. We design, build, and operate large-scale, data-driven applications for major enterprises including the European Central Bank, HUK-Coburg, Deutsche Telekom, and Europe’s largest car manufacturer. Founded in Germany in 2010, Ultra Tendency has grown to 8 offices across 10 countries on 3 continents, serving a trusted and expanding client base.
We don’t just use technology—we create it. Our team contributes to over 20 open-source projects, including Ansible, Terraform, NiFi, and Kafka, making a visible impact on both technology and business. Enterprises choose Ultra Tendency because we solve the problems others cannot.
We thrive on challenges. Here, you’ll work on unique projects you won’t find elsewhere and become part of a knowledge-driven, supportive community—not a rigid hierarchy. Continuous learning, feedback, and collaboration drive both personal and professional growth, while maintaining a healthy work-life balance.
Ultra Tendency evaluates applications based on skills and business fit. We welcome candidates from all backgrounds, regardless of race, ethnicity, national or social origin, disability, sex, sexual orientation, or age.
Data privacy statement: Data Protection for Applicants – Ultra Tendency
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