Location: Athens, Greece
We currently have a vacancy for a
Performance/Resilience Test Engineer
fluent in English, to offer his/her services as an expert
remotely (within EU).
In the context of the first assignment, the successful candidate will be integrated in the Development team of the company that will closely cooperate with a major client’s IT team.
Tasks:
Create the non-functional test plan and update the test plan for review to manager/leader;
Plan, prepare execute and analyse the non-functional testing activities as required;
Develop a strategy for end-to-end non-functional testing of the solution;
Develop the performance test script using the tools available for all the identified performance and resilience testing scenarios; involve in preparation of performance test data;
Execute the various non-functional tests including resilience, recovery, load test, stress test, endurance test, capacity test;
Analyse the resource usage during test execution to verify the performance of the applications and identify bottleneck problem in the application;
Review test results captured during test execution, support the identification of non-functional issues and make recommendations;
Enable other QA engineers and developers in running non-functional tests;
Provide technical assistance to improve system performance, capacity, reliability and scalability;
Develop standards and best practices for writing robust, maintainable, and performant load testing scripts;
Evaluate system performances and stability and recommend improvements.
Requirements
University degree in IT combined with relevant professional experience of at least 6 years in non-functional testing and associated tooling;
Expertise in Test Planning, Test Estimation, Test Strategy, Workload Design, Test Cases Design, Test Platform Setup, Test Data Setup and Defect Management;
Good Hands-on knowledge on performance test tool JMeter or Gatling;
Capacity in writing documents;
Ability to present findings and recommendations to team members, management and customers;
Experience in agile software development and testing methodologies;
Experience using Chaos/Kraken for resilience testing will be considered a plus;
Hands on Java experience from automation point of view will be considered a plus;
Experience in complex setups including several integrated systems will be considered a plus;
Experience in micro-services based private cloud hosted solution will be considered a plus;
Excellent command of the English language.
Benefits
If you are seeking a career in an exciting and dynamic company, where you will offer your services as part of a team of a major European Institution, operating in an international, multilingual and multicultural environment where you can expect real chances to make a difference, please send us your detailed CV in English, quoting reference:
(ST/PRTER/11/2026).
We offer a competitive remuneration (either on contract basis or remuneration with full benefits package), based on qualifications and experience. All applications will be treated as confidential.
You may also consider all our other open vacancies by visiting the career section of our web site (
www.eurodyn.com)
and follow us on Twitter (@EURODYN_Careers) and LinkedIn.
EUROPEAN DYNAMICS (
www.eurodyn.com
)
is a leading Software, Information and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Stockholm, London, Nicosia, Hong-Kong, Valetta, etc). The company employs over 1000 engineers, IT experts and consultants (around 3% PhD, 36% MSc and 53% BSc or equivalent). We design and develop software applications using state-of-the-art technology. The group generates annual revenues in the range of EURO 40 million, with an EBITDA in the range of 20%. The value of our contract portfolio exceeds EURO 300 million. EUROPEAN DYNAMICS is a renowned supplier of IT services to government institutions, multinational corporations, public administrations and multinational companies, research and academic institutes.
As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion
EUROPEAN DYNAMICS (ED)
adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published in
www.eurodyn.com/privacy.
By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorize ED to process your personal data for the purposes of the company's recruitment opportunities, in line to the Policy.
Location: Athens, Greece
Are you an experienced Network Engineer ready for your next professional challenge? Join EUROPEAN DYNAMICS and contribute to the design, implementation, and support of enterprise network infrastructures for large-scale projects worldwide.
Key Responsibilities
Design, implement, operate, and troubleshoot enterprise network and network security infrastructure across LAN/WAN environments;
Implement and support routing, switching, firewalling, VPN, and network segmentation solutions;
Configure and support Application Delivery Controller (ADC), load balancing, and Web Application Firewall (WAF) solutions;
Participate in infrastructure projects, network upgrades, migrations, and deployment of new technologies;
Maintain network documentation and support operational, security, and change management processes.
Requirements
Must Have Qualifications
Good hands-on experience with enterprise IP networking, routing and switching technologies (BGP, OSPF, VLANs, STP, etc.);
Experience with enterprise networking and security solutions;
Good understanding of firewalls, VPNs, network segmentation, high availability, and network security principles;
Experience with network monitoring, troubleshooting, and diagnostic tools;
Strong analytical and troubleshooting skills, with the ability to work effectively both independently and within a team;
Cisco CCNA, Fortinet NSE 4, or equivalent knowledge and experience.
Nice to Have Qualifications
CCNP Enterprise, advanced Fortinet NSE, and/or F5 professional certifications;
Experience with Fortinet security solutions and/or F5 BIG-IP platforms;
Experience with cloud or hybrid networking environments;
Knowledge of network automation and scripting (e.g., Python, Ansible);
Familiarity with ITIL, change management, and enterprise operational processes.
Benefits
We believe in rewarding talent and dedication. Here's what you can expect as part of our team:
Competitive full-time salary;
Private Health Coverage on the Company’s group program;
Flexible Working Hours;
Top-of-the-Line Tools;
Professional Development: Benefit from language courses, specialized training, and continuous learning opportunities;
Career Growth: Work with some of the most innovative and exciting specialists in the industry;
Dynamic Work Environment: Thrive in a setting that offers challenging goals, autonomy, and mentoring, fostering both personal and company growth.
If you want an exciting challenge, work with some of the coolest technologies, and enjoy your time doing it, then join us! Submit your detailed CV in English, quoting reference: (
NE/11/26
).
You may also consider all our other open vacancies by visiting the career section of our website (
www.eurodyn.com
) and follow us on Twitter (@EURODYN_Careers) and LinkedIn.
EUROPEAN DYNAMICS (ED)
(
www.eurodyn.com
) is a leading European Software, Information, and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Berlin, Stockholm, London, Nicosia, Valetta, Vienna, Den Haag, Hong Kong, etc.) The company employs over 1100 engineers, IT experts, and consultants (around 3% PhD, 41% MSc, and 54% BSc). We design and develop software applications using integrated, state-of-the-art technology. Our current IT projects have a value exceeding 300 million EURO. EUROPEAN DYNAMICS is a renowned supplier of IT services to European Union Institutions, international organizations, European Agencies, and national government Administrations in 40 countries and 4 continents.
As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, colour, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion.
EUROPEAN DYNAMICS (ED)
adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published at
www.eurodyn.com/privacy
. By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorize ED to process your personal data for the purposes of the company's recruitment opportunities, in line with the Policy.
Location: Greece; Athens, Greece; Thessaloniki, Greece
Passionate about software quality? Are you a
Junior QA Engineer
? We are currently seeking a talented individual to join our team. You have the option to work from our Thessaloniki or Athens office, or remotely.
Tasks:
Analyze requirements and translate them into clear, structured test cases, applying strong analytical and business understanding;
Collaborate closely with developers, product owners, and system engineers to ensure software quality;
Execute manual and automated test cases to validate functionality, usability, and overall quality of applications;
Document and report test results, defects, and improvement suggestions in a clear and structured way using bug tracking tools;
Conduct performance testing using appropriate tools to identify bottlenecks and assess system stability under load;
Perform basic security testing using OWASP ZAP (and similar tools) to detect vulnerabilities;
Contribute to the continuous improvement of QA processes, tools, and practices;
Stay curious and proactive in learning about QA methodologies, performance testing techniques, and OWASP security principles.
Requirements
Mandatory Qualifications:
Bachelor's degree in Computer Science or a related technical field or equivalent work experience;
Ability to work both independently and in a team-oriented collaborative environment;
Excellent command of English, both written and spoken;
Strong analytical and problem-solving skills with attention to detail.
Nice-to-Have Qualifications
Knowledge of SQL;
Hands-on experience with one or more of the following tools: Selenium, SoapUI, and JMeter;
Exposure to security testing concepts, with hands-on experience using OWASP ZAP or similar tools;
Interest in cybersecurity and a proactive mindset toward identifying vulnerabilities.
Benefits
We believe in rewarding talent and dedication. Here's what you can expect as part of our team:
Competitive full-time salary;
Private Health Coverage on the Company’s group program;
Flexible Working Hours;
Top-of-the-Line Tools;
Professional Development: Benefit from language courses, specialized training, and continuous learning opportunities;
Career Growth: Work with some of the most innovative and exciting specialists in the industry;
Dynamic Work Environment: Thrive in a setting that offers challenging goals, autonomy, and mentoring, fostering both personal and company growth.
If you want an exciting challenge, work with some of the coolest technologies, and enjoy your time doing it, then join us! Submit your detailed CV in English, quoting reference: (
JQA/11/26
).
You may also consider all our other open vacancies by visiting the career section of our website (
www.eurodyn.com
) and follow us on Twitter (@EURODYN_Careers) and LinkedIn.
EUROPEAN DYNAMICS (ED)
(
www.eurodyn.com
) is a leading European Software, Information, and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Berlin, Stockholm, London, Nicosia, Valetta, Vienna, Den Haag, Hong Kong, etc.) The company employs over 1100 engineers, IT experts, and consultants (around 3% PhD, 41% MSc, and 54% BSc). We design and develop software applications using integrated, state-of-the-art technology. Our current IT projects have a value exceeding 300 million EURO. EUROPEAN DYNAMICS is a renowned supplier of IT services to European Union Institutions, international organizations, European Agencies, and national government Administrations in 40 countries and 4 continents.
As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, colour, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion.
EUROPEAN DYNAMICS (ED)
adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published at
www.eurodyn.com/privacy
. By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorize ED to process your personal data for the purposes of the company's recruitment opportunities, in line with the Policy.
Location: Athens, Greece
Are you a talented Data Analyst with a passion for Power BI? Join us in shaping the future of e-Government! We’re looking for a skilled
Data Analyst - Power BI Specialist
to drive the design, analysis, and implementation of data models, reports, and dashboards.
What You'll Do:
Collaborate with stakeholders to understand business needs and translate them into data-driven solutions;
Design and implement Power BI reports and dashboards that deliver key business insights;
Develop and optimize data models within Power BI, ensuring efficient data integration and reporting performance;
Create and manage Power BI Dataflows, connecting and transforming data from various sources for reporting needs;
Write efficient SQL queries to retrieve, clean, and transform data from different databases like SQL Server and PostgreSQL to prepare datasets for reporting and analysis;
Utilize DAX (Data Analysis Expressions) in Power BI to create measures and calculated columns for in-depth analysis;
Publish and manage Power BI reports and dashboards in the Power BI Service, ensuring accessibility and usability for stakeholders;
Oversee the organization of reports within Power BI workspaces, including managing permissions and access rights for users;
Troubleshoot and optimize Power BI reports to ensure accuracy, reliability, and performance.
Requirements
University degree in Computer Science, Information Technology, Data Science, Software or Electrical Engineering, or other related field;
2+ years of experience in business intelligence or data analysis, with a strong focus on Power BI;
Proficiency in DAX for calculations and data modeling;
Experience with Power Query for data transformation and cleaning;
Experience with publishing, sharing, and managing reports in the Power BI Service, including workspace administration;
Strong understanding of data visualization principles and best practices;
Knowledge of relational databases and SQL for data retrieval;
Excellent analytical, problem-solving, and communication skills;
Fluency in oral and written English.
Nice-to-have Qualifications
Experience integrating Power BI with other Microsoft tools (e.g., Excel, Azure) and third-party applications;
Leverage Power BI’s AI capabilities to create advanced analytics solutions, including machine learning models and automated insights;
Familiarity with popular machine learning frameworks and libraries (e.g., TensorFlow, Scikit-learn, PyTorch) for building and deploying models;
Ability to preprocess and clean data for machine learning, including handling missing values, data normalization, and feature engineering;
Understanding of data warehousing concepts, including star and snowflake schema designs, particularly in SQL Server Data Warehouse environments;
Familiarity with database management practices, including indexing, optimization, and maintenance to enhance performance and reliability of data queries;
Experience with Extract, Transform, Load (ETL) processes using SQL to prepare data for analysis and reporting;
Familiarity with Azure Document Intelligence for extracting information from documents, enabling automated data processing and integration into BI workflows;
Relevant Microsoft Certifications (e.g. Azure Data Scientist Associate, Power BI Data Analyst, etc.).
Benefits
We believe in rewarding talent and dedication. Here's what you can expect as part of our team:
Competitive full-time salary;
Private Health Coverage on the Company’s group program;
Flexible Working Hours;
Top-of-the-Line Tools;
Professional Development: Benefit from language courses, specialized training, and continuous learning opportunities;
Career Growth: Work with some of the most innovative and exciting specialists in the industry;
Dynamic Work Environment: Thrive in a setting that offers challenging goals, autonomy, and mentoring, fostering both personal and company growth.
If you want an exciting challenge, work with some of the coolest technologies, and enjoy your time doing it, then join us! Submit your detailed CV in English, quoting reference: (
DAPBS/11/26
).
You may also consider all our other open vacancies by visiting the career section of our website (
www.eurodyn.com
) and follow us on Twitter (@EURODYN_Careers) and LinkedIn.
EUROPEAN DYNAMICS (ED)
(
www.eurodyn.com
) is a leading European Software, Information, and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Berlin, Stockholm, London, Nicosia, Valetta, Vienna, Den Haag, Hong Kong, etc.) The company employs over 1100 engineers, IT experts, and consultants (around 3% PhD, 41% MSc, and 54% BSc). We design and develop software applications using integrated, state-of-the-art technology. Our current IT projects have a value exceeding 300 million EURO. EUROPEAN DYNAMICS is a renowned supplier of IT services to European Union Institutions, international organizations, European Agencies, and national government Administrations in 40 countries and 4 continents.
As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, colour, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion.
EUROPEAN DYNAMICS (ED)
adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published at
www.eurodyn.com/privacy
. By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorize ED to process your personal data for the purposes of the company's recruitment opportunities, in line with the Policy.
Location: Athens, Greece; Thessaloniki, Greece
We are seeking a DevOps Engineer (Mid/Senior, 3+ years) to own CI/CD pipelines, Azure cloud infrastructure, and Kubernetes operations across multiple production environments, supporting digital platforms delivered to public sector and enterprise clients across Europe. The position is fully remote with the option of working from our premises in Athens, Crete or Thessaloniki.
Main Responsibilities and Tasks
Design, build, and maintain CI/CD pipelines in Azure DevOps and Jenkins (YAML pipelines, Jenkinsfile, shared libraries) from commit to production;
Manage and scale Kubernetes clusters on AKS across dev, staging, and production; author Helm charts; manage namespaces, RBAC, configmaps, secrets, and ingress;
Provision and version infrastructure with Terraform/Bicep and manage configuration with Ansible across multiple Azure environments;
Enforce security gates in pipelines — Trivy container scans, Checkov IaC policies, SonarQube SAST quality gates; manage secrets via HashiCorp Vault and Azure Key Vault;
Own observability — Prometheus/Grafana dashboards, ELK/OpenSearch log aggregation, OpenTelemetry instrumentation; define and track SLOs and error budgets;
Manage network configuration — DNS, VPN, ingress controllers, load balancers, and network policies; lead blameless post-mortems.
Requirements
Bachelor's degree in Computer Science, IT Engineering, or equivalent demonstrable experience;
3+ years of hands-on DevOps, Build & Release, or Cloud Engineering experience in production;
Deep hands-on Azure: VMs, VNets, Storage, Azure AD, Load Balancers, AKS; Kubernetes day-2 operations; Docker image build, publish, and hardening;
Azure DevOps (YAML pipelines, repos, artifacts, agent pools, branching policies) and Jenkins (Jenkinsfile, shared libraries); Git workflows (GitFlow or trunk-based);
Terraform for infrastructure-as-code and Ansible for configuration management (playbooks, roles, inventories);
Trivy, Checkov, and SonarQube as blocking pipeline gates; secrets management with HashiCorp Vault or Azure Key Vault;
Scripting in Python and/or Bash/PowerShell; Prometheus + Grafana, ELK/OpenSearch; networking fundamentals (DNS, VPN, ingress, load balancers, network policies); English B2+.
Desired Qualifications
Certifications: AZ-400, AZ-104 or AZ-305, CKA. Experience with GitHub Actions, Kustomize/advanced Helm, Bicep/ARM, OpenTelemetry, APM tooling (Dynatrace, Datadog, New Relic), service mesh (Istio/Linkerd), Nginx Ingress, cert-manager, external-dns.
Multi-cloud exposure (AWS); database operations in pipelines (PostgreSQL, MySQL, Redis); message brokers (RabbitMQ, Kafka); high-availability, multi-region, or regulated-industry infrastructure.
Benefits
We believe in rewarding talent and dedication. Here's what you can expect as part of our team:
Competitive full-time salary;
Private Health Coverage on the Company’s group program;
Flexible Working Hours;
Top-of-the-Line Tools;
Professional Development: Benefit from language courses, specialized training, and continuous learning opportunities;
Career Growth: Work with some of the most innovative and exciting specialists in the industry;
Dynamic Work Environment: Thrive in a setting that offers challenging goals, autonomy, and mentoring, fostering both personal and company growth.
If you want an exciting challenge, work with some of the coolest technologies, and enjoy your time doing it, then join us! Submit your detailed CV in English, quoting reference: (
ADE1/11/26
).
You may also consider all our other open vacancies by visiting the career section of our website (
www.eurodyn.com
) and follow us on Twitter (@EURODYN_Careers) and LinkedIn.
EUROPEAN DYNAMICS (ED)
(
www.eurodyn.com
) is a leading European Software, Information, and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Berlin, Stockholm, London, Nicosia, Valetta, Vienna, Den Haag, Hong Kong, etc.) The company employs over 1100 engineers, IT experts, and consultants (around 3% PhD, 41% MSc, and 54% BSc). We design and develop software applications using integrated, state-of-the-art technology. Our current IT projects have a value exceeding 300 million EURO. EUROPEAN DYNAMICS is a renowned supplier of IT services to European Union Institutions, international organizations, European Agencies, and national government Administrations in 40 countries and 4 continents.
As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, colour, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion.
EUROPEAN DYNAMICS (ED)
adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published at
www.eurodyn.com/privacy
By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorize ED to process your personal data for the purposes of the company's recruitment opportunities, in line with the Policy.
Location: Remote Canada
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
The Data and Storage Services team is responsible for Affirm's data infrastructure across OLTP and OLAP systems, spanning critical online checkout databases, batch orchestration, streaming infrastructure, event-driven frameworks, BI, analytics tooling, large-scale data platforms, and agentic data tools such as semantic layers and internal platform data applications. Our mission is to provide trustworthy, intuitive, and cost-efficient solutions for Affirmers to secure, store, analyze, and transform data at exceptional scale.
The Online Storage team provides a set of managed databases as a platform, used to persist data for all Affirm services. Our platform enables self-service access to OLTP storage systems, including Relational DB(MySQL), KV(DynamoDB), Distributed SQL(TiDB) and Cache(Redis). As a team, we are responsible for various data and access patterns, including but not limited to mission-critical financial transactional data, data science models, and any new persistence use case. These responsibilities require us to learn and gain deep expertise in various database systems.
We are looking for a talented Senior Software Engineer who can architect, build and scale Relational and Distributed SQL Databases identifying opportunities to improve how we build, productionize, operate and improve this mission-critical infrastructure to unlock substantial value within our business. You’ll have the opportunity to directly influence your team’s roadmap in close collaboration with your peers, share your knowledge and expertise with others and learn from some of the best on our shared mission to deliver honest financial products that improve lives.
What you’ll do
You will build and operate the control plane for large-scale distributed SQL databases such as MySQL and TiDB, automating provisioning, failover, backups and upgrades end to end.
You will design and execute reliability-focused schema and data migrations across multi-tenant database clusters, with zero downtime for the products that depend on them.
You will own the networking stack that connects services to storage on Kubernetes, including connection proxies such as ProxySQL, and tune it for latency, resilience and failover.
You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery.
You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs.
You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them.
You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts.
You will foster a culture of quality and ownership on your team by setting or improving code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks.
You will help develop talent on your team by providing feedback and guidance, and leading by example.
What we look for
You have a total of 5+ years of experience as a software engineer.
You are experienced in designing, developing and launching backend systems at scale technologies like Python, Kotlin, AWS, MySQL, Terraform and Kubernetes.
You have in-depth, hands-on experience with large-scale database deployments in a production environment.
You have expertise in distributed databases and database technologies such as MySQL(Preferred), TiDB(Preferred), Postgres, Spanner, Vitess, CockroachDB etc.
Solid understanding of distributed database architecture, data modeling, and performance tuning. Particularly, expertise in SQL tuning and performance optimization techniques.
You have expertise in database benchmarking, load testing, and capacity planning.
You are familiar with connection poolers and proxies such as ProxySQL, RDS Proxy, Pg Bouncer, PgDog etc.
You have built control-plane or automation tooling for databases, such as provisioning, failover, upgrades or schema migrations, ideally on Kubernetes.
You have executed zero-downtime migrations and major version upgrades on production databases, and have built CLI tooling or runbooks to make those procedures repeatable.
You understand Kubernetes networking, service discovery and TLS well enough to debug connection and failover problems between services and databases.
You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others.
You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely.
Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders.
You have strong verbal and written communication skills that support effective collaboration with our global engineering team.
This position requires either equivalent practical experience or a Bachelor’s degree in a related field.
This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan.
Pay Grade - N
Equity Grade - 6
Employees new to Affirm typically come in at the start of the pay range.
Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)
CAN base pay range per year: $
153,000
-
213,000 CAD.
This posting is for an existing vacancy.
#LI-Remote
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.
For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
By clicking "Submit Application," you acknowledge that you have read Affirm's
Global Candidate Privacy Notice
and consent to the use of your personal information as described.
Location: Remote US
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
The Data and Storage Services team is responsible for Affirm's data infrastructure across OLTP and OLAP systems, spanning critical online checkout databases, batch orchestration, streaming infrastructure, event-driven frameworks, BI, analytics tooling, large-scale data platforms, and agentic data tools such as semantic layers and internal platform data applications. Our mission is to provide trustworthy, intuitive, and cost-efficient solutions for Affirmers to secure, store, analyze, and transform data at exceptional scale.
The Online Storage team provides a set of managed databases as a platform, used to persist data for all Affirm services. Our platform enables self-service access to OLTP storage systems, including Relational DB(MySQL), KV(DynamoDB), Distributed SQL(TiDB) and Cache(Redis). As a team, we are responsible for various data and access patterns, including but not limited to mission-critical financial transactional data, data science models, and any new persistence use case. These responsibilities require us to learn and gain deep expertise in various database systems.
We are looking for a talented Senior Software Engineer who can architect, build and scale Relational and Distributed SQL Databases identifying opportunities to improve how we build, productionize, operate and improve this mission-critical infrastructure to unlock substantial value within our business. You’ll have the opportunity to directly influence your team’s roadmap in close collaboration with your peers, share your knowledge and expertise with others and learn from some of the best on our shared mission to deliver honest financial products that improve lives.
What you’ll do
You will build and operate the control plane for large-scale distributed SQL databases such as MySQL and TiDB, automating provisioning, failover, backups and upgrades end to end.
You will design and execute reliability-focused schema and data migrations across multi-tenant database clusters, with zero downtime for the products that depend on them.
You will own the networking stack that connects services to storage on Kubernetes, including connection proxies such as ProxySQL, and tune it for latency, resilience and failover.
You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery.
You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs.
You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them.
You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts.
You will foster a culture of quality and ownership on your team by setting or improving code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks.
You will help develop talent on your team by providing feedback and guidance, and leading by example.
What we look for
You have a total of 5+ years of experience as a software engineer.
You are experienced in designing, developing and launching backend systems at scale technologies like Python, Kotlin, AWS, MySQL, Terraform and Kubernetes.
You have in-depth, hands-on experience with large-scale database deployments in a production environment.
You have expertise in distributed databases and database technologies such as MySQL(Preferred), TiDB(Preferred), Postgres, Spanner, Vitess, CockroachDB etc.
Solid understanding of distributed database architecture, data modeling, and performance tuning. Particularly, expertise in SQL tuning and performance optimization techniques.
You have expertise in database benchmarking, load testing, and capacity planning.
You are familiar with connection poolers and proxies such as ProxySQL, RDS Proxy, Pg Bouncer, PgDog etc.
You have built control-plane or automation tooling for databases, such as provisioning, failover, upgrades or schema migrations, ideally on Kubernetes.
You have executed zero-downtime migrations and major version upgrades on production databases, and have built CLI tooling or runbooks to make those procedures repeatable.
You understand Kubernetes networking, service discovery and TLS well enough to debug connection and failover problems between services and databases.
You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others.
You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely.
Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders.
You have strong verbal and written communication skills that support effective collaboration with our global engineering team.
This position requires either equivalent practical experience or a Bachelor’s degree in a related field.
Pay Grade - N
Equity Grade - 9
Employees new to Affirm typically come in at the start of the pay range.
Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)
USA base pay range (CA, WA, NY, NJ, CT) per year: $
195,000
-
255,000
USA base pay range (all other U.S. states) per year: $173,000-233,000
#LI-Remote
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.
For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
By clicking "Submit Application," you acknowledge that you have read Affirm's
Global Candidate Privacy Notice
and consent to the use of your personal information as described.
Location: Almaty, Kazakhstan
Workplace: OnSite
WHY WORK AT HIGGSFIELD AI?
Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands.
We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.
ABOUT THE ROLE
We're looking for a Senior Recruiting Coordinator to own how our Almaty recruiting team runs day to day.
Our Almaty recruiting team hires across Engineering, ML & Research, Product, Growth, Creative, GTM, Finance, and Operations, at a pace few companies have ever had to match. This role makes sure that pace doesn't turn into chaos.
WHAT YOU'LL DO
Process & Standarts
- Define and roll out one consistent way of working across the team: intake, pipeline stages, scorecards, interview loops, offer approvals, and handoff to onboarding.
- Make sure every open role has a clear recruiter owner, a named final decision-maker, and an agreed interview panel.
- Keep the Hiring Matrix, recruiting playbooks, and Ashby guides current so recruiters and hiring managers can self-serve.
- Catch overlapping roles and duplicated outreach before the same candidate is contacted twice.
Ashby & Recruiting Data
- Own Ashby as the single source of truth. That means no side spreadsheets and no pipelines living in messengers.
- Run weekly pipeline hygiene checks for stale candidates, missing scorecards, untracked sources, and applications that were never closed.
- Make sure every source is tagged and measurable, including referrals, events, university partnerships, paid channels, and agencies.
- Partner with recruiting automation owners on stage automations, integrations, and dashboards.
Reporting & Insights
- Own recruiting reporting to leadership: pipeline by role, where candidates are stuck, offers out, and which decisions are needed.
- Replace manual status reports with live dashboards built on Ashby data.
- Track funnel conversion, time-to-hire, channel performance, and recruiter load, and turn them into clear recommendations.
- Run the weekly recruiting sync and make sure decisions and action items are captured and followed through.
- Onboard new recruiters and coordinators into tools, process, and team standards.
- Manage recruiting tools and licenses (Ashby, LinkedIn Recruiter, sourcing tools) so every seat is actually used.
- Escalate blockers early, such as salary band approvals, onboarding capacity, and stalled final rounds.
YOUR MUST HAVES
- 5+ years in recruiting, recruiting operations, or talent program management, including at least 2 years owning process or operations for a team of recruiters.
- Hands-on Ashby experience, or deep expertise in a comparable ATS plus the ability to become an Ashby power user quickly.
- Experience building recruiting reports and dashboards that leadership actually used to make decisions.
- Experience in a high-growth company hiring at volume across multiple functions.
- Ability to hold recruiters and hiring managers accountable without direct authority over all of them.
- Highly structured, exceptionally organized, and detail-oriented.
- Excellent written and verbal English and Russian.
THE DEAL
- Competitive salary in USD.
- On-site role in Almaty office.
- Full-time position.
Location: Belgrade; Lisbon
Workplace: OnSite
Aghanim is an integrated commerce, liveops automation, community engagement, and payments platform for video games.
Mobile games have traditionally depended on app stores for distribution, payments, and player relationships. We believe there is a better way. Aghanim helps game studios build direct relationships with players, sell directly, and build their future on their own terms. Today, more than 100 games worldwide are already building this future with Aghanim.
Our team brings together people across Los Angeles, New York, Seoul, Beijing, London, Lisbon, Belgrade and other locations around the globe, with deep expertise in gaming, fintech and technology. We move quickly, keep communication direct, and focus on getting things done. We believe the best people thrive when they have autonomy, ownership, and a stake in the company's success.
[https://app.ashbyhq.com/api/images/user-content/4f457f07-466b-477b-b552-fbbabd850111/2de3a7cd-8843-41a9-8bbe-ceb897a42c4a/Logo%20(horizontal).svg]
We're looking for a Senior Frontend Engineer to join our payments team and help build and evolve our Checkout experience.
Checkout is the final step in a mobile game purchase — the interface where players around the world complete payments every day. It operates across 200+ countries and supports 130 currencies, 25 languages, and 100+ payment methods.
Its performance, reliability, and UX directly impact payment success rates, conversion, and revenue.
KEY RESPONSIBILITIES
- Build and improve Checkout: add new payment flows, payment methods, and third-party SDK integrations.
- Build a fast, simple, mobile-first interface that works well across browsers, WebViews, and in-app browsers, including on low-end devices and slow networks.
- Improve Checkout performance and stability by finding bottlenecks and fixing issues in key user flows.
- Use product data and experiments to find friction in the Checkout funnel, test ideas, and improve conversion.
- Investigate production issues using logs, traces, product events, and metrics, and work with APIs and backend services when needed.
- Take part in technical decisions and code reviews and help maintain frontend code quality.
REQUIRED QUALIFICATIONS
- 5+ years of professional frontend development experience with strong TypeScript and React skills.
- Strong understanding of browsers, networking, and mobile web.
- Experience improving web performance, including FCP, LCP, profiling, bundle size, and resource loading.
- Experience building payment or other transactional flows, such as checkout, subscriptions, wallets, or payment SDK integrations.
- Strong debugging skills and ability to investigate problems beyond the frontend layer.
- Ability to own your work from implementation and release to stable operation in production.
PREFERRED QUALIFICATIONS
- Experience in fintech, payments, e-commerce, gaming, or other consumer products with a large mobile audience.
- Understanding of payment concepts such as 3DS, payment statuses, saved payment methods, declines, and refunds.
- Understanding of frontend security, including CSP, iframe security, and PCI scope.
- Ability to read Go or Python and understand backend logic and APIs.
- Experience using AI tools in day-to-day development.
WHY JOIN US
- World-class team – work alongside experienced professionals from around the globe who have built products used by millions of players
- High growth, high impact – be part of a fast-growing company where ideas turn into products and reach customers in days, not months
- Autonomy and ownership – we trust people to make decisions, take initiative, and drive results
- Modern tools and technology – use AI, automation, and modern tools as part of your everyday work
- Equity – participate in the company's growth and long-term success
Location: Amsterdam, Netherlands; Berlin, Germany; London, United Kingdom; Poland; Prague, Czech Republic; Tel Aviv, Israel; Zurich, Switzerland
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
Nebius Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on.
Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production.
Your responsibilities
Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff.
Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization.
Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components.
Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost.
Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices.
Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets.
Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact.
Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs.
Must-haves
A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline.
A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas.
Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes.
Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs.
Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis.
Excellent written and verbal communication.
Nice-to-haves
First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA.
Experience deploying ML models or inference optimizations in production.
Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals.
Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency.
Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems.
Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Workplace: remote
Location
:
Quantori is an international team: we have colleagues who work not only from office but also remotely from all over the world.
Responsibilities
:
Design, develop, and maintain production data pipelines using Python, Apache Airflow, Snowflake, and Amazon S3
Design and evolve scalable data architectures, including Bronze, Silver, and Gold data layers
Develop data models and implement incremental loading, historization, versioning, and reusable transformation patterns
Write and optimize complex SQL transformations, views, stored procedures, dynamic tables, streams, tasks, and scheduled jobs
Integrate data from relational databases, APIs, object storage, and file-based sources
Implement data-quality checks, validation, reconciliation, lineage, monitoring, and robust error-handling processes
Manage Snowflake access controls, roles, permissions, service accounts, and deployment across development, staging, and production environments
Maintain CI/CD pipelines for Snowflake objects, Airflow DAGs, and Python code using Git and automated testing
Monitor and troubleshoot production pipelines and proactively improve reliability and performance
Collaborate with data, analytics, engineering, and other technical teams to translate business and technical requirements into reliable data products
Create technical documentation and specifications following established quality and compliance standards
What we expect
:
5+ years of experience in Data Engineering, including at least 3 years working with production data platforms
Strong hands-on experience with Snowflake, including Data modeling, RBAC and access management, Warehouse management, Query profiling and performance optimization, Stored procedures
Advanced SQL skills, including complex joins, CTEs, window functions, incremental processing, and query optimization
Strong Python skills for ETL, database integration, automation, error handling, and testing
Production experience with Apache Airflow, including DAG development, dependencies, sensors, task groups, retries, backfills, and operational support
Experience working with relational databases, object storage, APIs, and file-based data sources
Strong understanding of modern data architectures, including medallion and dimensional modeling, slowly changing dimensions, natural and surrogate keys, and historization
Experience with Git, pull requests, automated testing, and CI/CD for data pipelines and database code
Strong problem-solving skills and the ability to work independently in a production environment
Snowflake and Apache Airflow are core requirements for this role; experience only with alternative data warehouses or orchestration tools would not be sufficient
Nice to have
:
Experience working in regulated or validated environments
Background in life sciences, healthcare, clinical, laboratory, genomic, or bioinformatics data
Experience working with LIMS or other scientific/clinical data systems
Familiarity with OMOP or other standardized clinical data models
Experience with data-consumption and visualization tools such as Tableau or Streamlit
Familiarity with scientific or computational workflows and tools such as Nextflow or similar workflow orchestration platforms
SnowPro certification
Experience with AWS Managed Workflows for Apache Airflow (MWAA)
We offer
:
Competitive compensation
Remote work
Flexible working hours
A team with excellent tech expertise
Location: San Francisco
Workplace: OnSite
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
Baseten is growing fast, and how we hire shapes what we become. As our Recruiting Operations Program Manager, you'll find where the recruiting team is losing time or quality, confirm it with data, and build and run the program that fixes it. Some of that work is quick, like a data pull for leadership or an Ashby answer for a recruiter. Some of it spans months and needs executive buy-in.
You'll identify, build and own programs end to end, from redesigning core recruiting processes to building and shipping A-powered tools that change how our recruiters work every day. You'll work across Ashby, Notion, Slack, and Claude, and treat AI as a core part of how recruiting runs.
RESPONSIBILITIES
- Build and lead large-scale recruiting programs end to end: secure leadership buy-in, manage timelines across stakeholders, and partner with our Recruiting Operations Data Analyst to use data to decide what to change and how to measure it.
- Break large, ambiguous problems into projects with clearly-structured phases, owners, and deadlines, and drive them through to adoption, not just launch.
- Analyze interview plans, pass-through rates, stage timing, and interviewer load in Ashby, and turn findings into concrete recommendations.
- Support operational asks from recruiters and leadership, and turn repeated asks into self-serve tools or documented answers.
- Build, pilot, and iterate on Claude-powered tools and workflows that solve recurring pain points across the recruiting team.
- Keep recruiting documentation – including interview guides, playbooks, SOPs, and training material – current, monitored, and easy to find.
- Propose and roll out process changes that make recruiting faster and more consistent, including the comms and training that make them stick.
REQUIREMENTS
- 3+ years in recruiting operations, program management, or a related operations role at a fast-growing company.
- Track record of building and running cross-functional projects end to end with clear project management rigor, from securing senior leaders’ buy-in to execution and close-out.
- Comfort pulling, analyzing, and presenting data, and turning it into clear recommendations.
- Clear, concise writing, including for executive audiences.
- Strong prioritization skills, with the ability to balance long-running programs with day-to-day asks.
NICE TO HAVE
- PMP or project management certification a strong plus.
- Hands-on Ashby experience, especially reporting and dashboards, or deep experience with another ATS, including using data and metrics to drive decisions and set priorities.
- Experience building workflows or tools with AI (Claude, ChatGPT, or similar).
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: San Francisco, CA
Workplace: Hybrid
About Niantic Spatial
We are building for the >80% of economic activity that happens beyond the reach of screens. AI has learned from the text, images and video online, but it still lacks an accurate understanding of physical space.
That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are.
In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right.
Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us.
About the Role
Niantic Spatial makes the physical world computable, helping people and machines collaborate safely by aligning how they understand reality. One of the fundamental problems we're helping autonomy teams and engineers overcome is the sim-to-real gap for visual-spatial understanding. We're applying our team's decades of experience encoding the world precisely as it is at Google Maps, Google Earth, and Niantic Labs to build the scalable real-to-sim stack for embodied AI.
We're looking for a Senior/Staff Product Engineer to join our Embodied AI team. Working alongside the group's GM, Product leader, and robot learning engineer, you'll own how the product reaches customers, build the integrations that make it native to their simulators and deployment stacks, and influence the roadmap.
You've turned capabilities into products. You've shipped developer-facing products and watched adoption turn on details nobody planned for. You know that a capability isn't a product until someone outside the building has used it without help, and you're passionate about the work that sits between the two.
This is not a role for someone who wants to manage and not ship, or someone who wants to ship without ownership of commercial consequences. This is a role for an entrepreneurial engineer who loves to build and is energized by making the people around them, researchers and customers alike, more effective. You have a co-founder mentality. You may have been part of a founding team before, or want to start your own business one day.
What You'll Do
- Build the Product Surface - Own how autonomy teams experience our work: the APIs, UIs, packages, and documentation.
- Make Our World Native to the Customer's - Turn scans and reconstructions into reliable, interoperable assets that work in customers' simulation tools and workflows, including packaging, metadata, semantic labels, object structure, and selectable variants.
- Turn Prototypes Into Capability - Partner with reconstruction, mapping, localization, and research teams to transform prototypes and pipeline outputs into production-grade services and user experiences.
- Deliver at Scale - Design and operate backend systems for accounts, organizations, sites, scans, assets, processing jobs, permissions, asynchronous workflows, storage, and data access.
- Make It Work - Work directly with customers and internal users to integrate our technology, diagnose failures, improve reliability, and close the gap between intended and actual product behavior.
- Influence the Roadmap - Work alongside the group's GM, Product leader, and robot learning engineer to shape what we build and when.
What You'll Bring
- 6+ years of software engineering experience; Bachelor's degree in Computer Science or a related field, or equivalent practical experience.
- Significant experience building and operating production web applications and backend services, with strong fundamentals in API design, data modeling, testing, observability, and reliability.
- Shipped developer-facing products — including the documentation and reference code external engineers actually used — and worked with 3D asset formats or comparable binary formats to production depth: you can say what the conventions were, where they broke, and what it cost you.
- Proficient in Python and TypeScript, comfortable working across frontend and backend, and able to take a feature from product requirements through to running it in production.
- Experience designing asynchronous workflows, long-running jobs, external integrations, and data-intensive systems.
Nice to Have
- Experience working with robotics simulators or toolchains such as Isaac Sim, Isaac Lab, or MuJoCo, or OpenUSD.
- Built products for geospatial, 3D, computer vision, graphics, robotics, or spatial computing.
- Worked on visualization or asset-management experiences with React, Next.js, or Three.js.
Competencies
- Relentless bias for action. You make decisions and ship as if the company’s success depends on it, because it does. You set the pace, and drive the people around you to rise to it.
- Intellectually honest. You know there’s just one job that underpins every other in a startup: find the truth. You are relentless in your pursuit of it, including when it challenges your own convictions, and you raise concerns when you see them — even when it's uncomfortable, and especially when it's unpopular.
- Pragmatic. You have no patience for not-invented-here syndrome and analysis paralysis. You find the fastest path to a working capability without one-way doors that undermine scaling.
- Confident and credible with customers. You can read an autonomy engineer's training config, find why our asset didn't load, and explain the fix in their terms.
- Fluent in other people's ecosystems. You'll spend much of your time learning new tools and stacks. You're quick to learn the customer's language, and you can point to something you shipped in a world that was foreign to you a quarter earlier.
Compensation & Benefits
The base salary range for this role is $207,000 - $265,000, and your offer within it will reflect your experience and the scope you take on. Compensation also includes an annual bonus, equity, and a comprehensive benefits package including medical, dental, and vision coverage, 401(k), and more.
Location & Work Model
This role is based in our San Francisco office, with three days per week in office.
Inclusive Application
We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed - you may be exactly who we're looking for.
Equal Opportunity
Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process.
Candidate Privacy
I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.
Location: United States
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
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THE ROLE
The Senior Principal Software Engineer is responsible for shaping and evolving the company’s technical landscape. In addition to designing, developing, and maintaining core systems, the Senior Principal Software Engineer provides strategic guidance to align technology initiatives with business goals. This role is vital in ensuring that the platform is secure, scalable, and performant—capable of supporting rapid growth and driving innovation.
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RESPONSIBILITIES
TECHNICAL STRATEGY & ARCHITECTURE
- Define and drive the overarching technical vision, ensuring the platform meets current and future scalability, performance, and security needs
- Evaluate and select tools, frameworks, and architectures to maintain a state-of-the-art technology stack
LEADERSHIP & MENTORSHIP
- Provide technical leadership and guidance to the engineering organization, setting best practices and standards.
- Coach and mentor engineers, fostering a culture of continuous learning and collaboration
Innovation & Research
- Investigate emerging technologies, frameworks, and best practices
- Lead prototyping initiatives and proof-of-concepts that can transform the platform’s capabilities
SCALABILITY & PERFORMANCE
- Ensure the platform is designed for high performance and can seamlessly handle increasing user loads
- Oversee performance optimization, load balancing, and capacity planning strategies
RELIABILITY & AVAILABILITY
- Design fault-tolerant, highly available systems that minimize downtime and deliver a seamless user experience Infrastructure Automation
- Advocate for and implement Infrastructure as Code (IaC) principles, CI/CD pipelines, and automation best practices
- Continuously refine deployment, testing, and operations processes to improve efficiency
SECURITY & COMPLIANCE
- Collaborate with security experts to ensure platform integrity, compliance with industry standards, and protection of sensitive data
- Proactively address security vulnerabilities and champion secure coding practices
CROSS-FUNCTIONAL COLLABORATION
- Work closely with product managers, designers, and other stakeholders to ensure technical initiatives support business objectives
- Drive alignment between engineering roadmaps and product strategies
TECHNICAL PROBLEM-SOLVING
- Tackle complex architectural and technical issues, providing clear direction and innovative solutions
- Serve as an escalation point for critical system challenges
CODE QUALITY & REVIEWS
- Uphold coding standards through thorough code reviews, ensuring high-quality, maintainable codebases
- Establish and enforce best practices around testing, documentation, and version control
DOCUMENTATION & KNOWLEDGE SHARING
- Produce comprehensive technical documentation, including architectural diagrams, design guidelines, and operational runbooks
- Promote a transparent engineering culture by sharing insights and successes across the organization
- Take part in on-call rotation for your team, respond to incidents, debug production issues, and drive continuous improvement of system reliability
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QUALIFICATIONS
● 12+ years of software engineering experience with demonstrated expertise across multiple domains (SDLC, AI engineering, corporate systems, etc)
● Extensive software engineering experience, with a track record in designing and implementing large-scale, distributed systems
● Deep technical expertise: Proficiency in multiple programming languages, cloud platforms (e.g., AWS, Azure, GCP), and modern development frameworks
● Leadership acumen: Demonstrated ability to lead diverse engineering teams, inspire innovation, and drive successful outcomes
● Architectural vision: Proven skill in defining and driving architectural roadmaps that align with evolving business needs.
● Problem-solving ability: Expertise in diagnosing complex system issues and designing robust, scalable solutions
● Communication skills: Excellent written and verbal communication skills, capable of influencing both technical and non-technical stakeholders.
● Security conscious: Solid understanding of security best practices, compliance standards, and data protection
● Continuous improvement mindset: Passion for optimizing processes, toolchains, and workflows
● Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
As a Senior Principal Software Engineer, you will not only architect innovative solutions but also shape the technical culture. Your leadership and expertise will be pivotal in building a resilient, cutting-edge platform that supports rapid growth and drives long-term success.
Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs.
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COMPENSATION & EQUITY
All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location.
United States: $219K – $352K base
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POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
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PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Reinforcement learning is how Claude learns to reason, write code, and act autonomously over long horizons. At frontier scale, an RL run is an unusually demanding distributed system. Training, sampling, and environment execution run concurrently across a large fleet of accelerators and hosts, exchange data continuously, and have to keep making progress while hardware fails, load shifts, and the research changes underneath them. How well that system holds together determines how much of our compute turns into learning, and how quickly the team can try the next idea.
As a Research Engineer on the Distributed Systems team within RL Engineering, you'll work on whatever part of that system is the current limit. That might be scheduling and placement, data movement between components, running large numbers of sandboxed environments, storage and checkpointing, networking, fault tolerance, autoscaling, or the observability that tells us what a run is actually doing. We're looking for generalists: engineers who can move between these layers, reason from first principles about a system they haven't seen before, and pick the problem that matters most rather than the one closest to their prior experience.
Our system changes as fast as the research does, correctness under failure matters as much as throughput, and the best solutions often come from understanding the ML workload well enough to know which guarantees it actually needs. Strong candidates have built and run large distributed systems, care about getting the details right, and want to apply that experience to a workload that is very large, very heterogeneous, and changing quickly.
Key responsibilities
Design, build, and operate the distributed systems that run RL at scale, across training, sampling, and environment execution
Find and remove whatever currently limits the system, whether it's scheduling, data movement, storage, networking, or coordination
Build fault tolerance into every layer: failure detection, isolation, and recovery that keep long-running jobs making progress without human intervention
Design resource management and autoscaling so that compute follows demand as a run's needs shift
Build observability that makes it possible to understand what a run is doing and why it slowed down, stalled, or produced unexpected results
Build automation that detects and remediates common problems, and design interfaces that let engineers and automated tools operate runs safely
Work with researchers and performance engineers to make sure systems changes preserve training correctness and don't introduce subtle nondeterminism
Remove classes of failure at their source through incident review, testing, and redesign, and write clear design documents for what you build
Minimum qualifications
Strong software engineering skills in Python and at least one systems language such as Rust, C++, or Go
Experience designing, building, and operating large-scale distributed systems in production
Deep understanding of distributed systems fundamentals, including consistency, coordination, consensus, failure modes, and recovery
Ability to reason quantitatively about throughput, latency, and resource costs across compute, memory, storage, and network
Experience debugging complex failures across many hosts and services, including failures you can't reproduce locally
Strong written communication, including design documents and incident writeups
Preferred qualifications
Experience running ML training or inference infrastructure at scale
Experience across several layers of the stack, such as scheduling, storage, networking, and orchestration
Experience building schedulers, autoscalers, or resource management systems
Experience with container orchestration such as Kubernetes, and with sandboxed or virtualized code execution at scale
Experience with high-performance networking, RDMA, or collective communication libraries
Experience building observability or automated remediation for large fleets
Experience with async Python frameworks such as Trio or asyncio
Familiarity with reinforcement learning or large language model training workloads
Representative projects
Design a scheduler that places training, sampling, and environment work across a heterogeneous cluster while respecting network topology and failure domains
Build a failure detection and recovery system that lets a long-running job survive host and network failures with minimal lost work
Scale environment execution substantially without increasing tail latency for the training step
Design an autoscaling policy that rebalances compute across components as a run's bottleneck shifts
Build a diagnostics system that explains why a run's throughput dropped and proposes a fix
Trace a rare data corruption bug across many services to a race condition in a recovery path, and redesign the path so the class of bug can't recur
Design the operational interface for a run so that automated tools can safely diagnose and adjust it under human oversight
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$500,000
—
$850,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Australia, Adelaide
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Site Reliability Engineer
Our Site Reliability Engineering team plays a significant role in delivering on the promise of a great cloud gaming experience to our customers. We do this by influencing design and operational decisions towards the overall stability of the gaming service. Our SREs focus on three main things: overall ownership of production, production code quality, and deployments. The successful candidate will be self-directed and able to participate in the way we make decisions at different levels.
We expect our SREs to have opinions on the state of our service and provide critical feedback during different phases of the operational lifecycle. We are engaged throughout the software development lifecycle, ensuring the operational readiness and stability.
Requirements
Minimum of 5+ years working experience in Software Development and/or Linux Systems Administration role.
Strong interpersonal, written and verbal communication skills.
Available to be scheduled in on-call rotation.
Skills & Knowledge
Proficient as a Linux Production Systems Engineer, with experience managing large scale Web Services infrastructure.
Development experience in one or more of the following programming languages:
Python (preferred)
Bash, Go, Java, C++, or Rust
In addition, experience with at least 3 of the following topics:
Distributed data storage at scale (Hadoop, Ceph)
NoSQL at scale (MongoDB, Redis, Cassandra)
Data Aggregation technologies. (ElasticSearch, Kafka)
Scaling and running traditional RDBMS (PostgreSQL, MySQL) with High Availability
Monitoring & Alerting (Prometheus, Grafana), and Incident Management toolsets
Kubernetes and/or AWS (deployment and management)
Software Distribution (Package management and distribution at scale)
Configuration Management (ansible, saltstack, puppet, chef)
S/W Performance analysis and load testing (QA or SDET experience: a plus)
Responsibilities
Lead team technical discussions, especially around ongoing improvements in Reliability and Scalability
Be involved in creating High Level Designs (HLDs) for new products and platforms
Mentor junior SRE staff and enable them for success
Lead incident response and post-mortem activities within your assigned service team
Work with other Engineers in a cross-functional team to prioritise reliability improvements to address technical debt and toil
Contribute to code to improve reliability
Implement automation to reduce ongoing toil
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: Malta
We are seeking a skilled Connectivity and Cloud Architect to join our Infrastructure area. You will design, implement, and maintain robust network architectures across hybrid on-premise and AWS cloud environments, with a strong focus on routing (BGP), connectivity, and DNS architecture, working closely with our Enterprise Architect, infrastructure, and network teams to ensure seamless integration and optimal performance across all
systems.
A taster of what you will be involved with:
Network Architecture Design: Design and develop scalable, secure network architectures across hybrid on-premise and AWS cloud environments, including routing, connectivity, and integration patterns.
AWS Network Architecture: Lead design and implementation of AWS networking components, including Transit Gateways, VPC connectivity, ACLs, Network Firewalls, Cloud WAN, and Route 53.
Hybrid Connectivity: Design and manage AWS Direct Connect and Site-to-Site VPN architectures linking on-premise and cloud environments.
Routing and BGP: Design, implement, and maintain complex routing architectures leveraging advanced protocols such as BGP and OSPF to ensure resilient, performant connectivity.
DNS Architecture: Design, implement, and maintain DNS architecture across on-premise and cloud environments, ensuring scalability, resiliency, and security.
Disaster Recovery Network Design: Design and maintain resilient network architectures supporting disaster recovery and business continuity.
Network Management: Oversee configuration, management, and optimisation of network devices (routers, switches, firewalls, VPNs), ensuring network security and compliance with best practices.
Automation and Tooling: Use Git, Terraform, Bash, and Ansible to automate and manage infrastructure and network configuration as code.
Collaboration and Communication: Work with cross-functional teams to gather requirements, provide technical guidance, and ensure alignment with business objectives.
Documentation and Best Practices: Develop and maintain documentation, diagrams, and SOPs for network and cloud architectures, promoting industry best practices and compliance.
What we are looking for:
Education:
Bachelor's degree in Computer Science, Information Technology, or a related field
3+ years of proven experience as a Systems Architect, Network Architect, Cloud Architect, or similar role in a complex IT environment
Strong understanding of AWS Cloud security and infrastructure security, including network and server security
Relevant certifications (e.g., AWS Certified Advanced Networking – Specialty, AWS Certified Solutions Architect, CCNP) are a plus
Work Experience:
Strong expertise in designing and implementing hybrid (on-premise and cloud) network architectures
Strong, hands-on AWS network experience, particularly with Transit Gateways, ACLs, Network Firewalls, Cloud WAN, VPC connectivity, EKS
networking, and Route 53
Hands-on experience with AWS Direct Connect and VPN Gateway architectures for hybrid connectivity
Experience designing and implementing complex routing architectures, leveraging advanced protocols such as BGP and OSPF
Strong knowledge of DNS architecture design, implementation, and management across on-premise and cloud environments
Experience designing disaster recovery and business continuity network architectures
Experience with load balancing technologies (e.g., AWS ALB/NLB or equivalent on-premise solutions)
Experience with network monitoring and observability tooling (e.g., VPC Flow Logs, CloudWatch, NetFlow)
Working knowledge of IPv6
In-depth knowledge of networking protocols, security principles, and best practices
Strong familiarity with Git, including branching, automation workflows, and merging strategies
Excellent skills in Terraform, Bash, and Ansible
Strong background in Linux administration
Understanding of microservice design and architectural patterns
Experience with Kubernetes/EKS networking, including CNI plugins and service mesh
In-depth knowledge of on-premises infrastructure, including servers, SAN/NAS storage devices, fibre channel networks, and backup infrastructures
Proficiency in Active Directory administration, including domain management, group policies, LDAP, and SAML integrations
Familiarity with virtualisation technologies (VMware, Hyper-V, etc.) and containerisation (Docker, Kubernetes)
Excellent analytical, problem-solving, and decision-making skills
Strong communication and interpersonal abilities, with a collaborative mindset
Other Requirements:
Proven practical communication skills (written and verbal) to articulate platform architecture to other Architects (Area and Enterprise), Area Product Managers, and technical teams
Adherence to best practices in documentation, testing, security, and efficient use of resources
Experience with identity solutions
Awareness of relevant regulatory and compliance frameworks (e.g., PCI-DSS, ISO 27001) as they apply to network and infrastructure security
What we offer
Much like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 1700 strong, spread across 7 offices with 900 based out of our Malta HQ alone! We recognise it may not be for the faint-hearted, but if you’re a go-getter, initiator and adrenaline junkie, always striving to push the boundaries and challenge yourself, then you’ll fit right in.
Challenge accepted?
By submitting your application, you understand that your personal data will be processed as set out in our
Privacy Policy
Location: Bulgaria; Croatia; Hungary; Lithuania; North Macedonia; Poland; Slovakia
Why Cast AI?
Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.
The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.
Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.
Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead.
Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.
Join us as we build the future of autonomous infrastructure.
This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland,Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine.
What you'll be solving
Every dollar Cast AI saves a customer has to be provable, every action taken on their infrastructure has to be attributable to someone authorized to take it, and every price used to make that case has to be current across every cloud, region, and availability zone. This is the trust and accounting layer underneath the whole platform: get it wrong, and customers can't log in, can't trust the savings number, or get billed incorrectly - any one of which ends the relationship.
This posting covers multiple teams working on different pieces of the same trust-and-accounting problem: authentication, authorization, and SSO for every user and workload. Billing, audit trails, notifications, and feature flags that keep the platform transparent for every customer. Real-time cloud pricing tracking across every region and availability zone, including Spot availability and discounts. And reporting that turns high-volume time-series data into fast, accurate answers about what the automation actually saved.
Requirements
Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices - not just make something work.
Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language.
You've built or operated trust-critical systems at scale - authentication/authorization, billing, or financial/accounting-adjacent data, where being wrong has real consequences.
Good understanding of API design best practices - versioning, backward compatibility, auth, idempotency, async patterns, and similar.
Strong debugging, optimization, and performance-tuning skills – including query profiling, index design, and database performance tuning beyond ORM usage.
Experience operating and optimizing systems under high load - you know how to find and fix the bottleneck, not just add more resources.
Hands-on experience with Kubernetes - you understand the core concepts (pods, services, deployments) and have deployed or debugged something on a cluster.
Experience with AI coding agents and agentic development workflows.
You've personally driven a complex project end-to-end.
Strong English skills, both verbal and written.
Startup mindset: adaptable, proactive, and comfortable with ambiguity.
Participate in on-call rotation for teams that require it.
Nice to haves
Multi-tenant identity system design - authentication, authorization, SSO.
Enterprise identity protocols - SAML, OIDC, and SCIM for enterprise account provisioning and sync.
Billing, audit-trail, notification, or feature-flag systems in production.
Experience with cloud provider pricing/billing APIs across AWS, GCP, or Azure, or tracking Spot instance availability.
High-cardinality time-series ingestion and querying at scale.
Understanding of Kubernetes internals.
CI/CD and DevOps practices experience.
Observability tooling (Prometheus, Grafana, OpenTelemetry) in production.
Responsibilities
Design, build, and operate backend services in Go that other teams and customers depend on being correct.
Own features end-to-end: from design through implementation, testing, and production rollout.
Debug complex production issues involving security-, money-, or trust-critical flows.
Collaborate with product and other engineering teams to solve problems that don't have textbook solutions.
Contribute to product direction and backlog - shape what gets built next, not just how it's built.
Tools we use daily
Programming Language:
Go
Cloud & Orchestration:
Kubernetes, AWS, GCP, Azure
Infrastructure as Code:
Terraform
Databases & Storage:
PostgreSQL, Cloud Object Storage, ClickHouse
Messaging & APIs:
GCP Pub/Sub, gRPC for internal communication, REST for public APIs
Observability:
Prometheus, Grafana, Loki, Tempo
CI/CD & GitOps:
GitLab CI with ArgoCD
What’s in it for you?
Competitive salary (€6,500 – €9,000 gross, depending on the level of experience) plus separate compensation for on-call participation (passive coverage and active interventions)
Enjoy a flexible, remote-first global environment.
Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
Equity options.
Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
Spend 10% of your work time on personal projects or self-improvement.
Learning budget for professional and personal development – including access to international conferences and courses that elevate your skills.
Annual hackathon to spark new ideas and strengthen team bonds.
Team-building budget and company events to connect with your colleagues.
Equipment budget to ensure you have everything you need.
Extra days off to help maintain a healthy work-life balance.
You'll be expected to travel to Vilnius for onboarding - travel costs are covered by the company.
Hiring process
Screening call with Recruiter
Hiring Manager interview
Technical interview (system design)
Live coding
Culture Check interview with an executive
*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI
does not
provide any form of visa sponsorship/work permit.
#LI-Remote