Location: London; Sofia
About Us
The Financial Times is one of the world’s leading news organisations, globally recognised for its authority, integrity and accuracy, with a mission to deliver quality information and services worldwide.
At the FT, curiosity thrives and ambitious thinking is rewarded. Together, we help audiences stay better informed and deepen their understanding of the world around them.
Our Product & Tech teams drive us forward in an ever-evolving digital landscape, delivering cutting-edge products to over one million digital subscribers daily. Our growth relies on a diverse, dedicated and dynamic group of product, tech, delivery and data specialists.
With a supportive culture, entrepreneurial spirit and opportunities at every turn, there are no limits to where your FT career can take you.
Build a newsworthy career at the FT.
Our commitment to diversity, equity and inclusion
We believe in the power of unique perspectives and want all voices in our organisation to be heard, respected and valued. A supportive workplace is one where employees feel they can be themselves and operate to their full potential. We are committed to removing barriers for everyone, with a focus on addressing those faced by underrepresented groups.
About you
You are an experienced Principal Engineer or senior engineering leader with a strong background in enterprise integration, shared engineering services or platform capabilities.
You have experience working across multiple teams and technology domains, with the judgement to distinguish between capabilities that should be centrally owned and standardised and those that should remain within individual engineering teams.
You are comfortable operating at both strategic and technical levels. You can define a direction for shared integration and engineering capabilities while still engaging deeply enough with architecture, engineering practices, reliability and delivery to make credible technical decisions.
You are also an experienced people leader who can build and develop senior engineers and create a high-performing team around a new capability. You are able to influence teams without relying solely on formal authority and can establish common approaches where responsibilities have historically been distributed.
You understand that shared services succeed only when they are useful to the teams that depend on them. You therefore approach platform and integration engineering pragmatically, balancing standardisation and reuse with the needs of individual products and domains.
About the team
Integration Services sits within Internal Products and provides shared engineering capabilities that enable connectivity, automation and engineering quality across the organisation.
The capability spans enterprise integrations, reusable engineering services and quality engineering practices that support multiple products, platforms and teams across Internal Products.
As the FT continues to evolve its enterprise technology landscape and undertake significant transformation, the need for consistent, reusable and reliable integration capabilities is increasing.
Two major programmes are currently running in parallel and both depend heavily on shared integration capabilities across multiple platforms and teams. At present, responsibilities are distributed across different parts of the organisation, creating risks around fragmented ownership, duplicated solutions, inconsistent approaches and limited reuse.
The Principal Engineer – Integration Services will establish and lead this capability, creating clear ownership for shared services while ensuring the team remains closely connected to the engineering teams and domains it supports.
What you’ll work on
As
Principal Engineer – Integration Services
, you will establish and lead the Integration Services capability across Internal Products.
You will own the technical direction, engineering capability, people leadership, delivery and operational performance of shared integration and engineering services.
A key part of the role will be defining what should become a reusable Internal Products capability and what should remain owned within individual domains. You will establish common integration approaches, reusable services and engineering patterns that reduce duplication and make it easier for teams to connect systems safely and reliably.
You will provide senior technical leadership across major transformation programmes, including the Commercial Technology Programme, ensuring integration decisions made within individual programmes contribute to a coherent and sustainable technology estate.
You will also build and develop the team itself, establishing the engineering capability, operating model and ways of working required for a successful shared service organisation.
Your responsibilities will include
Integration Strategy & Technical Direction
Defining the technical direction for integration services across Internal Products.
Establishing principles, standards and reusable patterns for enterprise integration.
Developing a clear strategy for shared integration capabilities, balancing centralisation, reuse and domain autonomy.
Identifying opportunities to simplify integration architecture, reduce duplication and improve interoperability.
Providing technical leadership on significant integration decisions spanning multiple platforms, teams and domains.
Ensuring integration approaches consider security, resilience, scalability, observability, operability and long-term maintainability.
Working with Architecture and senior engineering leaders to align integration direction with wider FT technology strategy.
Establishing a clear view of the integration landscape, including major interfaces, dependencies, ownership and technical risks.
Shared Services & Platform Engineering
Defining and building reusable integration services and engineering capabilities that solve common problems across Internal Products.
Establishing clear ownership for shared services and ensuring they have sustainable operational and engineering models.
Ensuring shared capabilities provide genuine value to consuming teams rather than becoming additional layers of complexity.
Setting appropriate expectations for reliability, performance, scalability, security and service availability.
Establishing effective lifecycle management for shared platforms and services.
Identifying opportunities for standardisation, consolidation and reuse.
Ensuring teams have clear guidance on when to use shared services and when to build capability within their own domains.
Engineering Quality & Automation
Establishing and evolving quality engineering capabilities that improve the reliability and confidence of software delivery across Internal Products.
Promoting consistent engineering practices around testing, automation, CI/CD and quality assurance where appropriate.
Identifying recurring quality problems across teams and developing reusable approaches to address them.
Working with engineering leaders to improve automated testing, release confidence and software quality.
Encouraging engineering teams to treat quality as part of engineering ownership rather than a separate activity.
Using metrics, operational insight and engineering feedback to identify opportunities for continuous improvement.
Strategic Programmes & Transformation
Providing senior engineering leadership to major transformation programmes, including the Commercial Technology Programme.
Working across programme teams to establish coherent integration strategies across multiple platforms and workstreams.
Challenging programme-specific solutions where they create unnecessary duplication, complexity or long-term dependency.
Ensuring integration decisions made during transformation can be sustainably operated and evolved after programme delivery ends.
Supporting technology and vendor evaluations where integration architecture is a material consideration.
Helping programmes distinguish between capabilities that should be delivered as reusable Internal Products services and those that are specific to an individual initiative.
People & Engineering Leadership
Leading and developing the engineers within Integration Services.
Establishing a high-performing team with clear responsibilities, strong engineering standards and appropriate technical ownership.
Coaching senior engineers and developing technical leadership capability within the team.
Building an environment that encourages collaboration, constructive technical challenge and knowledge sharing.
Recruiting and developing the specialist skills required to build a sustainable integration capability.
Creating succession and reducing key-person dependency across critical integration knowledge.
Establishing clear expectations for engineering quality, operational performance and delivery.
Building strong relationships with engineering leaders across Internal Products so the shared capability is embedded rather than operating as a separate silo.
Delivery & Planning
Establishing a roadmap for the development and evolution of shared integration services.
Prioritising investment across reusable capabilities, programme commitments, operational work and technical improvement.
Working with Product and engineering leaders to understand demand for shared services and translate this into realistic delivery plans.
Managing capacity and ensuring the team can support both strategic initiatives and ongoing operational responsibilities.
Identifying dependencies and delivery risks across consuming teams and programmes.
Providing clear visibility of progress, risks, trade-offs and technical constraints.
Operational Excellence & Reliability
Owning the operational performance of shared integration services.
Establishing appropriate approaches to monitoring, observability, incident management, problem management and operational readiness.
Ensuring critical integrations have clear ownership, appropriate resilience and effective recovery mechanisms.
Leading the response to significant incidents affecting shared services and coordinating resolution across dependent teams.
Using operational data and incident learning to identify systemic improvements.
Ensuring operational responsibilities are sustainable and do not depend disproportionately on individual engineers.
Cross-Domain Collaboration
Building strong working relationships with Principal Engineers, Engineering Managers, architects and senior engineers across Internal Products.
Establishing effective mechanisms for teams to engage with Integration Services early in the lifecycle of significant initiatives.
Helping teams understand integration trade-offs and select appropriate patterns and capabilities.
Coordinating decisions where integration ownership crosses domain boundaries.
Encouraging reuse and consistency without imposing unnecessary central control.
Representing Integration Services in relevant architecture, engineering and technology forums across the FT.
Vendor & Technology Partner Management
Providing technical leadership in relationships with integration technology vendors and implementation partners.
Challenging vendor-led solutions where they conflict with long-term FT engineering direction or create unnecessary dependency.
Ensuring external partners complement rather than replace internal engineering capability.
Contributing to technology evaluation, procurement and platform selection decisions.
Ensuring partner-delivered work meets FT engineering, security, quality and operational expectations.
Technical and leadership experience we’re looking for
Significant experience in a Principal Engineer, senior engineering leadership or comparable technical leadership role.
Strong experience designing, building and operating enterprise integration capabilities at scale.
Deep understanding of integration architecture, APIs, event-driven systems, messaging, data flows and distributed systems.
Experience establishing reusable engineering services or shared platform capabilities across multiple teams.
Experience defining technical standards, engineering patterns or platform strategies across organisational boundaries.
Experience leading significant transformation programmes involving multiple platforms, teams and integrations.
Strong understanding of cloud technologies and modern engineering practices, preferably AWS.
Experience with enterprise SaaS ecosystems and integrating them with internally developed applications.
Experience with quality engineering, test automation, CI/CD and engineering productivity practices would be advantageous.
Experience leading and developing senior engineers and technical specialists.
Experience establishing new teams, capabilities or operating models would be highly advantageous.
Strong experience influencing teams and senior stakeholders without relying solely on formal authority.
Experience identifying and addressing duplicated capabilities, technical debt and fragmented ownership across complex technology estates.
Strong understanding of reliability, observability, security and operational excellence.
Experience working with vendors and implementation partners while maintaining clear internal technical ownership.
Ability to communicate complex technical concepts and trade-offs clearly to both technical and non-technical audiences.
Experience balancing strategic technical direction with practical delivery realities.
Characteristics we value
Strong technical judgement and the confidence to make decisions across organisational boundaries.
A strong sense of ownership and accountability.
Pragmatism when balancing standardisation, reuse and the needs of individual engineering teams.
The ability to influence without relying solely on hierarchy.
A collaborative approach to building shared capabilities that teams want to use.
Curiosity and a willingness to understand problems across the wider technology estate rather than optimising a single domain.
Strong coaching and mentoring skills, particularly when developing senior engineers.
An instinct for reducing unnecessary complexity and duplication.
Confidence challenging established approaches constructively.
Calm and clear decision-making during complex delivery and operational situations.
An appreciation for reusable, sustainable and well-engineered technology capabilities.
What’s in it for you? Our benefits
Our benefits vary by location, but we are committed to providing best-in-class perks across all our offices. These include generous annual leave, medical cover, inclusive parental leave packages, subsidised gym memberships and opportunities to give back to the community. Full details of our benefits are available on the FT Careers website.
We’ve embraced a 50% hybrid working model (averaging two to three days onsite) that fosters trust and remote adaptability while encouraging in-person camaraderie and peer learning. Additionally, we are open to accommodating specific flexible working pattern requests for all roles where feasible.
Accessibility
We are a disability confident employer and Valuable 500 signatory.
Please let us know if you require any reasonable adjustments/personalisation as part of the application process or to enable you to attend an interview. If you would like to discuss your requirements or have any questions, email talent@ft.com and a member of the team will be happy to help.
Further information
At the FT, we embrace innovation and the use of technology and appreciate that individuals may leverage AI tools as part of their job application process. Whilst we are happy for you to use AI to assist with your application, it is essential that all information provided is authentic and accurately represents your skills, experience and qualifications.
Location: Tel Aviv-Yafo, Gush Dan, Israel
About At-Bay
At-Bay combines world-class technology with industry-leading insurance to help businesses meet cyber risk head-on. We have grown into a top-10 U.S. cyber insurer, providing modern insurance products and active risk monitoring to companies of every size and in every industry.
We have hubs in Atlanta, New York City, San Francisco and Tel Aviv. We are committed to inclusive hiring and to a culture where people of all identities and backgrounds can thrive, grow their careers, and bring their full selves to work.
About the role
We're looking for a software engineer with a strong backend focus who wants to
own things end to end
.
You'll
join the Stance team
to design, build and run the services behind At-Bay Stance, our unified security platform, which is used by 10,000+ users at small and mid-sized businesses.
You'll own systems in production: shaping their architecture, shipping new capabilities into a live system, and keeping them healthy at scale.
Responsibilities
Own services end to end
: design, build, deploy and operate backend services, and be the go-to person for the ones you own.
Drive design and architecture
: write design docs, weigh trade-offs, and shape how our microservices, data and events fit together.
Ship into a live system
: introduce new capabilities and integrations into production safely, using feature flags, gradual rollouts and backward-compatible changes.
Write quality code
: well-tested, organized and robust code that supports a fast-growing organization.
Solve hard problems
: tackle complex engineering challenges on systems that are critical to the company.
Work in a modern environment
: continuously integrated and deployed code on cloud infrastructure.
Build for real users
: work on user-facing features where latency, correctness and a smooth experience matter.
Monitor and debug at scale
: own observability for your services (logs, metrics, traces, alerts) and trace issues across distributed, event-driven flows.
Take part in on-call
: respond quickly to production issues, find root causes, and fix them for good.
Work across the product
: work closely with product managers, designers, QA experts, architects and experienced developers, communicate openly across our international teams, and step into React code when a feature needs it.
Requirements
5+ years of hands-on backend engineering in Python (preferred).
Experience with event-driven architecture: SNS/SQS, Dapr, Kafka or similar.
Proven ownership of production systems: you've designed, shipped and operated services that real users depend on.
Strong system design and architecture skills: microservices, RESTful APIs, data modeling.
Experience building and running user-facing applications at scale.
Hands-on production monitoring and debugging: logs, metrics, distributed tracing, alerting (e.g. Grafana, Sentry, Datadog or similar).
Experience with relational databases such as MySQL or PostgreSQL, including query performance.
Experience with cloud production environments (AWS), Docker and Kubernetes.
A learning mindset: you pick up new tools, domains and codebases quickly, including frontend code when needed.
Excellent communication in Hebrew and English.
Nice to have
Frontend experience with React is a bonus.
Workflow orchestration (Orkes/Conductor, Temporal or similar).
Knowledge of cyber security or networking.
NoSQL databases such as Elasticsearch, DynamoDB or MongoDB.
Experience leading technical initiatives or mentoring other engineers.
What you'll get
Competitive salary in a hyper-growth company redefining commercial insurance.
A strong emphasis on work-life balance: Hybrid model, Wellness days, and more.
Beautiful offices in Azrieli Sarona, Tel Aviv, steps away from train and bus lines.
A collaborative, fun, and passionate team that loves solving tough problems together.
Location:
Azrieli Sarona, Tel Aviv, Israel (hybrid)
Learn more at
at-bay.com
Locations: Spain, Bulgaria, or Portugal (relocation assistance may be provided).
Employment: Full-Time.
About the Company/Product: A global B2B product company developing a powerful Integration Platform as a Service (iPaaS) that uses AI and machine learning to enable organizations to seamlessly connect data sources, cloud applications, and enterprise systems through low-code/no-code automation. The platform is trusted by more than 400,000 customers worldwide, including leading companies such as Visa, Goldman Sachs, Cisco, Amazon, HubSpot, and L’Oréal. The engineering culture emphasizes technical excellence, strong ownership, and close collaboration across globally distributed, remote-first teams.
What You’ll Do:
— Keep the Aurora PostgreSQL fleet healthy across all data centers: building indexes on large and partitioned tables without downtime, analyzing plans, and moving data.
— Handle Aurora configuration (parameters, replicas, failover, capacity) and cost work: rightsizing, merging low-activity databases, and evaluating serverless.
— Take ownership of the PgBouncer layer, which currently needs an owner and a roadmap.
— Review schemas and data models with product teams, advising on partitioning, retention, and shared vs. dedicated clusters, backing recommendations with data.
— Work on the performance of the main application and the search queries behind AI features, including research toward a 10,000 jobs/second target.
— Package the team's existing zero-downtime upgrade and switchover procedures into versioned, released automation, along with provisioning of databases and users, grants, and schema sync across data centers (Terraform, Ansible, GitOps).
— Develop and deploy tooling for monitoring and managing the PostgreSQL fleet in Kubernetes, including monitoring and alerting (exporters, VictoriaMetrics).
— Handle database incidents end-to-end, including root-cause analysis and follow-up fixes, and participate in resilience projects such as a cross-region DR pilot, application reconnect after failover, and CDC pipelines that survive upgrades and failovers.
— Contribute to time-boxed evaluations of new database technologies that end with a decision on adoption.
— Participate in the on-call rotation, with off-rotation time dedicated to uninterrupted project work.
What You Have:
— 5+ years of experience operating PostgreSQL in production (DBA, DBRE, or SRE with a database focus) on databases under real load.
— Deep experience with database schemas: design, debugging, and troubleshooting performance issues in production.
— SQL proficiency, query plans, indexing strategy, and performance work on multi-TB tables.
— Expertise in the PostgreSQL ecosystem: streaming and logical replication, HA and failover setups (Patroni or equivalent), connection poolers (PgBouncer), major-version upgrades and migrations with minimal downtime.
— Linux fundamentals: processes and memory, OOM behavior, networking basics.
— Scripting skills (Bash, Python, or Go) and an automation-first attitude.
— Readiness to work actively with Kubernetes.
— Strong root cause analysis and incident management skills.
— Good level of English — at least Upper-intermediate (B2).
Nice-to-Haves:
— Experience with Infrastructure as Code (Terraform) and cloud infrastructure (AWS, ideally hands-on Aurora or RDS).
— Experience with different storage systems: ClickHouse, OpenSearch, Elasticsearch, Redis, Valkey, MemoryDB, Neo4j.
— Exposure to Kubernetes basics, GitOps, ArgoCD, or Vault.
— Contributions to open-source database or infrastructure projects.
— Openness to using AI assistants in daily work.
What We Offer:
— Real scale: every database behind a global automation platform, processing billions of events daily.
— Influence on the stack: your analysis in technology reviews shapes which databases the company adopts.
— Top-tier engineering team.
— Competitive base salary + stock options.
— Fully remote work with flexible hours from Spain, Bulgaria, or Portugal.
— Possible assistance with relocation to Spain or Bulgaria (visa support & relocation package).
— Full-time employment with benefits.
— Health and life insurance.
— Flexible vacation policy and paid sick leave.
— Company-provided equipment.
— Company-sponsored team-bonding activities.
— Other competitive benefits depending on location (e.g., wellness programs, education budget, referral bonuses, etc.).
Locations: Spain, Bulgaria, or Portugal (relocation assistance may be provided).
Employment: Full-Time.
About the Company/Product: A global B2B product company developing a powerful Integration Platform as a Service (iPaaS) that uses AI and machine learning to enable organizations to seamlessly connect data sources, cloud applications, and enterprise systems through low-code/no-code automation. The platform is trusted by more than 400,000 customers worldwide, including leading companies such as Visa, Goldman Sachs, Cisco, Amazon, HubSpot, and L’Oréal. The engineering culture emphasizes technical excellence, strong ownership, and close collaboration across globally distributed, remote-first teams.
What You’ll Do:
— Keep the Aurora PostgreSQL fleet healthy across all data centers: building indexes on large and partitioned tables without downtime, analyzing plans, and moving data.
— Handle Aurora configuration (parameters, replicas, failover, capacity) and cost work: rightsizing, merging low-activity databases, and evaluating serverless.
— Take ownership of the PgBouncer layer, which currently needs an owner and a roadmap.
— Review schemas and data models with product teams, advising on partitioning, retention, and shared vs. dedicated clusters, backing recommendations with data.
— Work on the performance of the main application and the search queries behind AI features, including research toward a 10,000 jobs/second target.
— Package the team's existing zero-downtime upgrade and switchover procedures into versioned, released automation, along with provisioning of databases and users, grants, and schema sync across data centers (Terraform, Ansible, GitOps).
— Develop and deploy tooling for monitoring and managing the PostgreSQL fleet in Kubernetes, including monitoring and alerting (exporters, VictoriaMetrics).
— Handle database incidents end-to-end, including root-cause analysis and follow-up fixes, and participate in resilience projects such as a cross-region DR pilot, application reconnect after failover, and CDC pipelines that survive upgrades and failovers.
— Contribute to time-boxed evaluations of new database technologies that end with a decision on adoption.
— Participate in the on-call rotation, with off-rotation time dedicated to uninterrupted project work.
What You Have:
— 5+ years of experience operating PostgreSQL in production (DBA, DBRE, or SRE with a database focus) on databases under real load.
— Deep experience with database schemas: design, debugging, and troubleshooting performance issues in production.
— SQL proficiency, query plans, indexing strategy, and performance work on multi-TB tables.
— Expertise in the PostgreSQL ecosystem: streaming and logical replication, HA and failover setups (Patroni or equivalent), connection poolers (PgBouncer), major-version upgrades and migrations with minimal downtime.
— Linux fundamentals: processes and memory, OOM behavior, networking basics.
— Scripting skills (Bash, Python, or Go) and an automation-first attitude.
— Readiness to work actively with Kubernetes.
— Strong root cause analysis and incident management skills.
— Good level of English — at least Upper-intermediate (B2).
Nice-to-Haves:
— Experience with Infrastructure as Code (Terraform) and cloud infrastructure (AWS, ideally hands-on Aurora or RDS).
— Experience with different storage systems: ClickHouse, OpenSearch, Elasticsearch, Redis, Valkey, MemoryDB, Neo4j.
— Exposure to Kubernetes basics, GitOps, ArgoCD, or Vault.
— Contributions to open-source database or infrastructure projects.
— Openness to using AI assistants in daily work.
What We Offer:
— Real scale: every database behind a global automation platform, processing billions of events daily.
— Influence on the stack: your analysis in technology reviews shapes which databases the company adopts.
— Top-tier engineering team.
— Competitive base salary + stock options.
— Fully remote work with flexible hours from Spain, Bulgaria, or Portugal.
— Possible assistance with relocation to Spain or Bulgaria (visa support & relocation package).
— Full-time employment with benefits.
— Health and life insurance.
— Flexible vacation policy and paid sick leave.
— Company-provided equipment.
— Company-sponsored team-bonding activities.
— Other competitive benefits depending on location (e.g., wellness programs, education budget, referral bonuses, etc.).
Location: Home Based - Americas; Home based - EMEA
Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, as well as industry leaders across many sectors.
Canonical is a pioneer of global distributed collaboration, with 1,200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
The company is founder-led, profitable, and growing.
We are hiring an
Engineering Manager for Distributed Systems Testing
to lead a team responsible for the quality engineering platform that enables deployment and validation of distributed systems across Canonical's cloud portfolio.
We see quality engineering as a first-class engineering practice. Our Distributed Systems Testing team ensures the performance, correctness, resilience and interoperability of Canonical cloud solutions built with technologies such as Juju, Terraform, OpenStack and Kubernetes. These systems are deployed and tested across diverse environments, from bare-metal to the public cloud.
As Engineering Manager, you will combine strong software engineering judgement with people leadership. You will develop engineering talent, establish effective engineering practices, shape technical direction with senior engineers, and ensure the team delivers high-quality testing infrastructure and automation that enables engineering teams across Canonical to ship software with confidence.
We believe engineering managers should be outstanding engineers themselves. You should be comfortable reviewing patches, evaluating software design, debugging a distributed system, or discussing test architecture. You will contribute technically where appropriate to set a high standard, while recognizing that your greatest impact comes from shaping the direction, focus, effectiveness, and growth of the whole team.
You will work closely with senior engineers and engineering leaders across Canonical to define priorities, improve testing capabilities, and advance how we validate increasingly complex cloud-native and distributed systems.
Location:
This is a globally remote role, typically leading a team concentrated within a major time zone such as EMEA or the Americas.
What you'll do
Lead, coach, and develop a high-performing team of software and quality engineers, ranging from graduate to senior level
Set clear expectations, strengthen engineering practices, and ensure timely delivery against agreed goals
Partner with senior engineers to shape technical strategy, architecture, roadmap, and engineering standards
Guide the development of automated testing infrastructure for the reliability, interoperability, and resilience of distributed systems
Improve CI pipelines, testing tools, and reporting used to validate Canonical's products and solutions across bare-metal, private and public cloud environments
Enable engineering teams across Canonical to adopt effective distributed-systems testing practices and tooling
Contribute technical leadership through design and code reviews, debugging, and hands-on engineering where appropriate
Represent the team with stakeholders and collaborate across Canonical on quality engineering, infrastructure, and developer experience
What we're looking for in you
An exceptional academic track record from both high school and university
Experience in leading, coaching, and mentoring software engineers
Professional software engineering experience with Python or Go
Expertise in distributed systems, cloud infrastructure, quality engineering, or a closely related domain
Strong knowledge of modern software testing processes, strategies, and automation
Experience with Linux (Debian or Ubuntu preferred)
Strong technical judgement and the ability to engage meaningfully in code reviews, architecture discussions, and software design
Experience working in an agile development environment with the ability to organize a team to deliver high-quality results
Professional written and spoken English with excellent communication and presentation skills
Great interpersonal skills, curiosity, flexibility, and accountability, demonstrating passion, thoughtfulness, and self-motivation
Ability to travel twice a year, for company events up to two weeks each
Additional skills we value
Experience with any of the following:
Cloud technologies such as Kubernetes, OpenStack, Juju, Terraform, AWS, Google Cloud, or Azure
Designing testing strategies for distributed or cloud-native systems
Building or operating large-scale CI/CD and test infrastructure
Applying AI or machine learning to test analysis, failure classification, or engineering workflows
Deploying, operating, or debugging distributed systems
Leading globally distributed teams
What we offer colleagues
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually, and more often for graduates and associates, to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus.
We provide all team members with additional benefits that reflect our values and ideals. We balance our programmes to meet local needs and ensure fairness globally.
Distributed work environment with twice-yearly team sprints in person
Personal learning and development budget of USD 2,000 per year
Annual compensation review
Recognition rewards
Annual holiday leave
Maternity and paternity leave
Employee Assistance Programme and wellness support
Opportunity to travel to new locations to meet colleagues
Priority Pass and travel upgrades for long-haul company events
About Canonical
Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and a leading platform for AI, IoT, and the cloud, we are changing the world of software.
We recruit globally and set a very high standard for people joining the company. We expect excellence; to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration.
Requisition ID: 1361
Location: Boston, Massachusetts; Foster City, California; Marlton, New Jersey; Remote, United States
Do you care about keeping developer tools running reliably, enjoy digging into the systems and infrastructure behind them, and know that reliable tools make all the difference for development teams? If you are calm under pressure, enjoy diagnosing complex systems, want to help developers overcome technical hurdles, and thrive on deep problem-solving across diverse tech stacks, this role is for you.
About JetBrains
We create intelligent software development tools for developers and teams. More than 15 million users, over 300,000 companies, and 88 of the Fortune Global Top 100 rely on our products to solve real, complex problems. Our mission is simple: make development teams more productive and AI adoptable at scale.
About TeamCity
TeamCity is a highly scalable CI/CD server that integrates across the modern software ecosystem. Because it supports complex server-side setups and SaaS deployments, issues can stem from the product itself or the surrounding infrastructure.
What you’ll do
As part of our Support Engineering team, you will act as a crucial link between global engineering teams and our internal product developers. You will take ownership of incoming technical issues, pinpoint root causes, and provide working resolutions or clear escalations. You'll work American-timezone hours to give our global community timely, effective support.
Day to day, you will:
Identify whether an issue stems from the product, infrastructure, or third-party integrations.
Provide workarounds, submit bug reports, or escalate issues directly to development.
Capture insights and publish solutions following KCS (Knowledge-Centered Service) principles.
Share user feedback with internal product teams to shape future tool improvements.
What you’ll bring
A systematic and structured, but flexible approach to troubleshooting complex software and infrastructure issues.
A clear, direct communication style that explains technical details in ways others can understand.
Comfort working independently across distributed teams and time zones.
Curiosity about how different build systems, VCS providers, and clouds operate together.
An inclination to leave documentation and systems better than you found them.
What you’ll need
Fluency in English, with strong written communication skills.
The ability to work aligned with American time zones.
Practical experience troubleshooting web servers and applications (such as Tomcat and Java-based environments).
A working knowledge of relational databases (such as PostgreSQL, MySQL, or MSSQL).
Hands-on experience with version control tools and hosting platforms (such as Git or Perforce, GitHub, GitLab, or Bitbucket).
Familiarity with build automation tools (such as Gradle, Maven, or .NET build systems).
An understanding of containerized environments or cloud infrastructure (such as Docker, Kubernetes, AWS, or Azure).
What success looks like
Success in this role means resolving complex support cases efficiently while maintaining clear communication with developers. You build trust by accurately diagnosing underlying infrastructure or application bugs rather than addressing symptoms alone. Over time, your contributions to the knowledge base reduce repeat issues, and your feedback helps product teams make TeamCity more resilient.
#LI-DNI
This range reflects the employer’s good-faith estimate of the base salary it reasonably expects to pay for the position at the time of posting. Starting pay within the range will be determined based on job-related factors such as skills, qualifications, experience, and work location.
The base salary range (per year) for this position in the posted work location(s) is
$144,000
—
$216,000 USD
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the
Recruitment Privacy Policy.
Location: Malaga
Are you an experienced DevOps Engineer looking for your next career opportunity? The Gaming Area within Product Development is now hiring! The Gaming Area at Betsson Group focuses on Game Play and Game Discovery across all our brands and markets. We aim to offer the best gaming products in the industry and an exciting user experience when playing on our sites. We cover game lobbies, gaming initiatives, provider integrations and more.
THE WOW
Our Gaming platform is the core of everything we do. It supports all our gaming sites and is central to the company strategy.
You will be part of preparing our journey to containerization, improved delivery via cloud deployment, increasing the scalability of our systems while also maintaining their high quality. To accommodate new requirements, we are constantly re-evaluating our systems design and working on exciting new features. You will be part of a passionate team, which is building an industry leading, scalable, multi-brand platform to support 25+ online brands! Our brands are used by hundreds of thousands of users and growing
To sum it up: you will be taking our Gaming platform, which is used by a worldwide audience, to a new level!
A taster of what you will be involved with:
Working with cutting edge technology enabling our Cloud Journey
The DevOps Engineer for our Gaming Department will be responsible for supporting development teams (both Backend and Frontent focused), and will be instrumental in enhancing CI/CD pipelines, improving monitoring and observability, and supporting & mantaining other custom infra solutions.
Take ownership of CI/CD pipelines, guiding developers to improve automation, reliability, and test coverage. Lead the migration from Octopus to GitHub Actions and foster a culture of developer-led deployment
Design and evolve monitoring systems with Prometheus/Grafana (or future alternatives), integrating observability into CI/CD workflows. Ensure robust tracing, logging, and metrics correlation across services.
Support and extend custom-built infrastructure components to handle increased traffic and complex routing. Collaborate with frontend and backend teams to ensure performance, scalability, and security.
Work closely with all Gaming teams and DevOps engineers focused on infrastrucutre and operations. Provide tooling and guidance to developers across environments.
What we're looking for:
Experience with GitHub Actions and Octopus; strong focus on deployment automation, speed, reliability, and test coverage. Ability to guide developers and foster ownership of CI/CD workflows.
Proficiency with Prometheus/Grafana; capable of building dashboards, improving alerting, and integrating monitoring into CI/CD. Understanding of observability practices including tracing, logging, and metrics correlation.
Experience with custom-built NGINX setups; able to extend routing rules to support increased traffic and complex routing needs.
Strong knowledge of AWS (EC2, ALB, VPC, EKS); experience managing infrastructure using Terraform and modules.
Proven experience setting up and managing Kubernetes clusters, ideally with AWS EKS and Rancher RKE.
Ability to write scripts in Python, Bash, PowerShell or similar for automation and tooling.
Proficient in Git and versioned source control practices.
Support build and deployment processes for both backend (.NET) and frontend (JavaScript/TypeScript, StencilJS) applications, ensuring smooth CI/CD integration and performance monitoring
Strong cross-functional collaboration skills; able to work with Gaming teams and Infra/Ops DevOps engineers.
Solid understanding of DevOps culture and ITIL best practices. Problem-solving mindset with ability to resolve complex technical issues efficiently.
Excellent problem-solving skills, with the ability to analyze complex technical issues and provide effective solutions in a timely manner.
Act as a technical enabler for development teams, providing tooling, guidance, and support across environments. Champion DevOps best practices and empower teams to take ownership of their delivery pipelines
Who We Are
Betsson Group is one of the largest companies within the Global iGaming space and can trace our heritage as far back as the 1960’s. We’re Swedish and publicly listed too with our Operational HQ located on the Mediterranean Island of Malta. Malaga is our newest tech hub where we are building one of the leading software engineering teams in Spain.
We strive to deliver the best customer experience in the industry. As a market leader within iGaming we offer online gaming products across 12+ jurisdictions and 20+ brands.
You will be part of a passionate team, which is building an industry leading, scalable, multi-brand platform used by hundreds of thousands of our customers!
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 over 1,000 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.
25 working days of paid vacation.
Private health and life insurance.
Flexible compensation package for transport, meals, and more!
Hybrid work policy for the best of office and home.
Up to 10 days per year working remotely from abroad.
€300 yearly wellness allowance.
Office perks to make your day easier.
Referral program with a bonus for successful hires.
Intensive summer schedule in August for extra flexibility and work-life balance.
In addition to all of this, you will be part of the multi-cultural Betsson community enjoying team-building events, our Friday bars, our social clubs, parties and other events. There is always something fun to look forward to!
Challenge accepted?
Check out the
Betsson Group Blog
to find out what our employees are talking about
If you are interested to learn more, please apply with your CV in English.
By submitting your application, you understand that your personal data will be processed as set out in our
Privacy Policy
Agvend — B2B SaaS-платформа для агросектора Северной Америки, с 8-летним опытом на рынке, охватывающая около 30% рынка ag-retail в США и Канаде, команда около 150 человек, из которых около 100 в R&D, полностью удалённая работа с офисами в Канаде, США и на Кипре для желающих.
Стек технологий:
Python, Django, DRF, Postgres, ClickHouse, AWS на бэкенде.
TypeScript и React на фронтенде.
Модульный монолит с тремя крупными приложениями и микросервисами-сателлитами.
5 продакшн Kubernetes кластеров, около 150 тенантов, примерно 5 тысяч запросов в минуту.
Используются CircleCI, Docker/ECR, Helm, Terraform, blue-green деплой.
Задачи:
— Полноценная fullstack разработка: фичи от API до UI без разделения на бэкенд и фронтенд.
— Владение зоной ответственности: архитектура, code review, ответственность за продакшн.
— Работа с реальной нагрузкой: Postgres и ClickHouse, мульти-тенант, миллионы записей.
Требования:
— Senior уровень, 5+ лет коммерческой fullstack разработки.
— Продвинутый опыт одновременно на backend и frontend: Python/Django/DRF и React/TypeScript, не просто бэкендер с фронтом "для галочки" или фронтендер с базовыми знаниями Django.
— Уверенные навыки Python и Django/DRF, опыт работы с Postgres под нагрузкой.
— React и TypeScript на продуктовом уровне, минимум 2 года.
— Самостоятельность, ведение зоны без микроменеджмента, прямая работа с PM.
— Русский язык — основной рабочий, английский — рабочий уровень.
Будет плюсом:
— Опыт с ClickHouse и аналитическими базами данных.
— Опыт работы с highload и финтех системами.
— Знания Kubernetes, Helm, Terraform, CircleCI на уровне умения чинить пайплайны.
— Опыт с очередями и распределёнными системами (Kafka, RabbitMQ), понимание идемпотентности.
Условия:
— Работа в команде только сеньоров, плоская структура (Engineering Manager + senior IC, без техлидов).
— Безлимитные отпуска, мягкий менеджмент, отсутствие фиксированных часов, асинхронная коммуникация.
— Оффсайты два раза в год (Кипр, Грузия/Армения).
— Бюджет на обучение, конференции, технику.
— Очень низкая текучесть, многие работают по 5–6 лет.
— Коммуникация внутри команды на русском языке.
О продукте:
В Gate развивают платформу для HR-аналитики, которая подключается к HRIS, ATS и payroll-системам, объединяет данные из разных источников и позволяет быстро получать ответы на вопросы о сотрудниках и HR-процессах прямо в чате. Платформа предоставляет доступ к более чем 200 метрикам без миграции данных и ручных выгрузок. Сейчас ведутся переговоры с 10+ крупными международными компаниями, три из которых участвуют в пилотах. Код рассматривается как инструмент для решения бизнес-задач, с активным использованием AI.
Кого ищут:
Роль подходит человеку, который любит динамику стартапов, ценит свободу в работе и готов брать ответственность за результат. Важен успешный опыт работы в стартапах. Требуется автономность в работе: самостоятельное уточнение требований, принятие решений и продвижение задач без подробных инструкций. Примерное распределение времени: около 60% — подключения и интеграции под запросы клиентов; около 40% — разработка новых продуктовых функций.
Чем предстоит заниматься:
— Развивать и поддерживать микросервисы на Go
— Работать с системами хранения и поиска данных (SQL/NoSQL и векторными базами данных), включая оптимизацию запросов и создание витрин данных
— Разрабатывать и поддерживать интеграции с внешними HR-системами
— Развивать LLM-слой на базе Amazon Bedrock и OpenAI, включая стриминг ответов и tool calling
— Отвечать за деплой и эксплуатацию кода в AWS: ECS, ECR, RDS, S3 и CloudFront
— Внедрять практики защиты данных, включая шифрование, аудит доступа и изоляцию данных между клиентами
Требования:
— 3+ года опыта в backend-разработке и уверенное владение Go
— Хорошее знание баз данных и умение оптимизировать запросы
— Понимание построения сервисов с чувствительными данными: шифрование, разграничение доступа, аудит
— Готовность быстро разобраться в экосистеме LLM, если ранее не работал с ней
— Умение работать автономно: самостоятельно уточнять требования, принимать решения и отвечать за результат
Будет плюсом:
— Опыт интеграции LLM в production
— Опыт работы с Amazon Bedrock
— Опыт интеграции с HR-системами.
Компания Lagrange Labs ищет Middle DevOps Engineer для удалённой работы на полный рабочий день с зарплатой от 4500 до 6000 USD. В задачи входит управление и масштабирование облачной инфраструктуры на AWS и GCP для поддержки ZK-инфраструктуры, настройка и сопровождение CI/CD процессов с использованием GitHub Actions и GitLab CI, контейнеризация приложений и администрирование Kubernetes кластеров (EKS, GKE). Также потребуется организовать мониторинг с помощью Prometheus и Grafana, а также системы логирования ELK или Loki. Работа с инфраструктурой как кодом предполагает использование Terraform или Pulumi, обеспечение безопасности сетевых взаимодействий и управление секретами через HashiCorp Vault. Важной частью будет поддержка блокчейн-нод различных сетей, включая Ethereum и решения второго уровня. Кандидат должен иметь опыт работы в DevOps от 2-3 лет, уверенные знания Linux, навыки скриптинга на Bash и Python, опыт работы с Docker, Kubernetes (Helm, ArgoCD), а также практический опыт с Terraform и облачными провайдерами, предпочтительно AWS. Знание принципов SRE и знакомство с Web3-инфраструктурой, включая RPC и работу нод, будут дополнительным преимуществом.
Location: Strava SF
Workplace: Hybrid
ABOUT STRAVA
Strava is the app for active people. With over 200 million athletes in more than 185 countries, it’s more than tracking workouts—it’s where people make progress together, from new habits to new personal bests. No matter your sport or how you track it, Strava’s got you covered. Find your crew, crush your goals, and make every effort count. Start your journey https://www.strava.com/subscription with Strava today.
Our mission is simple: to motivate people to live their best active lives. We believe in the power of movement to connect and drive people forward.
ABOUT THIS ROLE
We are looking for a Senior Data Engineer to join our Data Team and help build reliable, scalable data systems that support analytics, data science, and critical business use cases across Strava.
In this role, you will design and operate data pipelines, build high-quality domain data models, improve our dbt and data transformation workflows, and help ensure data is accurate, well-governed, and easy to use. You will also contribute to areas such as data ingestion, data quality, privacy and GDPR workflows, and the ongoing evolution of our data warehouse and data lake.
We follow a flexible hybrid model that translates to more than half of your time on-site in our San Francisco office — three days per week.
WHAT YOU’LL DO:
- Design, build, and operate foundational data systems and shared data assets that serve a broad range of analytical, operational, and business use cases across Strava.
- Build and evolve scalable data ingestion and transformation frameworks that move, process, clean, standardize, and organize data across our data lake and data warehouse.
- Develop reusable data engineering tools and abstractions that improve how engineers build and operate data pipelines, including frameworks and capabilities around technologies such as dbt.
- Design high-quality, durable domain data models — such as user, subscription, activity, or other core business domains — that provide consistent definitions and reusable foundations for teams across the company.
- Build systems and workflows that support data governance, privacy, and regulatory requirements, including GDPR-related deletion, retention, access, and data lifecycle management.
- Improve the reliability and observability of our data platform through automated testing, data quality checks, lineage, monitoring, alerting, and operational tooling.
- Optimize large-scale data processing and storage for performance, maintainability, scalability, and cost across both warehouse and data lake environments.
- Partner with data engineers, analytics engineers, software engineers, data scientists, security, privacy, and infrastructure teams to establish scalable data architecture and engineering standards.
YOU WILL BE SUCCESSFUL HERE BY:
- Thinking beyond individual pipelines and designing reusable systems, abstractions, and data models that solve common problems across multiple teams and use cases.
- Building well-defined domain data assets with clear semantics, ownership, lineage, and interfaces so downstream consumers can confidently build on top of them.
- Applying strong data modeling principles to represent complex business entities and relationships in ways that are extensible, understandable, and efficient.
- Maintaining a high bar for data correctness, reliability, privacy, and operational excellence across critical production data systems.
- Making thoughtful engineering tradeoffs across data freshness, scalability, storage, compute cost, complexity, and developer productivity.
- Proactively identifying recurring pain points in the data development lifecycle and creating tooling or platform capabilities that eliminate manual work and improve engineering velocity.
- Designing data systems with governance and regulatory requirements in mind, rather than treating privacy and compliance as downstream concerns.
- Bringing software engineering discipline to data infrastructure through testing, modular design, version control, CI/CD, observability, documentation, and code review.
WHAT YOU’LL BRING TO THE TEAM:
- You have 3–5+ years of professional experience in Data Engineering, Data Infrastructure, Software Engineering, or a related field, with experience owning production data systems.
- You have strong expertise in SQL and data modeling, including experience designing dimensional, normalized, or domain-oriented data models for large-scale analytical systems.
- You have experience building and operating ETL/ELT and data processing systems using technologies such as dbt, Airflow, Spark, or similar frameworks.
- You have experience developing reusable tooling, frameworks, or abstractions that improve how data pipelines and transformations are built, tested, deployed, or operated.
- You are proficient in at least one general-purpose programming language such as Python, Scala, Java, or Go and are comfortable applying software engineering principles to data systems.
- You understand modern data warehouse and data lake architectures and have worked with technologies such as Snowflake, Databricks, BigQuery, Redshift, Iceberg, Delta Lake, or similar systems.
- You have experience processing and transforming large datasets, including handling schema evolution, data normalization, deduplication, backfills, incremental processing, and data quality.
- You understand data governance and data lifecycle concepts such as lineage, retention, deletion, access control, PII handling, and GDPR/privacy requirements.
- You have experience implementing production-grade data quality, monitoring, alerting, testing, and observability for data pipelines and datasets.
- You can independently reason about data architecture and make sound technical decisions around modeling, ingestion, transformation, storage, reliability, scalability, and maintainability.
- You are comfortable working with cloud infrastructure such as AWS, GCP, or Azure and understand the infrastructure that supports large-scale data processing systems.
Experience with Kafka, Flink or other streaming systems; Kubernetes; Iceberg or other open table formats; data catalogs and lineage systems; schema management; CDC; or internal developer platforms for data engineering is a plus.
For information on benefits, please click here https://docs.google.com/document/d/e/2PACX-1vTkFMPz3eCjd0FgQ28VWnK4d2BEnzGyaSFGwATR-dQdBb9HxZgay6kboqnT0-V-qaBDzSvYIzI76vT5/pub.
WHY JOIN US?
Movement brings us together. At Strava, we’re building the world’s largest community of active people, helping them stay motivated and achieve their goals.
Our global team is passionate about making movement fun, meaningful, and accessible to everyone. Whether you’re shaping the technology, growing our community, or driving innovation, your work at Strava makes an impact.
When you join Strava, you’re not just joining a company—you’re joining a movement. If you’re ready to bring your energy, ideas, and drive, let’s build something incredible together.
Strava builds software that makes the best part of our athletes’ days even better. Just as we’re deeply committed to unlocking their potential, we’re dedicated to providing a world-class, inclusive workplace where our employees can grow and thrive, too. We’re backed by Sequoia Capital, TCV, Madrone Partners and Jackson Square Ventures, and we’re expanding in order to exceed the needs of our growing community of global athletes. Our culture reflects our community. We are continuously striving to hire and engage teammates from all backgrounds, experiences and perspectives because we know we are a stronger team together.
Strava is an equal opportunity employer. In keeping with the values of Strava, we make all employment decisions including hiring, evaluation, termination, promotional and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
California Consumer Protection Act Applicant Notice https://docs.google.com/document/d/e/2PACX-1vSc8y6On4NlP5s12hf4kmWe_pvenVyQ78TbtVaz_clROhj9ADQ6kY4YScglBIuY2joKFKalOReX7vP_/pub
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.
As we build Affirm's advertising platform and evolve Marketplace into a best in class shopping destination, the ability to route and discover is one of the greatest levers for consumer experiences. Search is one of the highest impact surfaces, and we are building a new team that will own not just the recommendations and search experiences, but also explore opportunities to improve customer experience, monetization, and merchant value. This team will help make Affirm the definitive destination consumers turn to for discovery, understanding, comparing, and shopping through Affirm, and will also lay the foundation for an agentic platform.
What You'll Do
· You will be responsible for setting technical strategy for your team on a year-long time scale, and help your team tie it together with critical, business-impacting projects.
· You will collaborate across teams in the product development lifecycle by collaborating with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed.
· You will act as a force-multiplier for your team through your definition and advocacy of technical solutions and operational processes.
· You take ownership of your team’s operations and availability by ensuring you have the right monitoring, triage rotations, playbooks, policies, testing and alerting in place to support “keep the lights on” & on-call efforts.
· You will foster a culture of quality and ownership on your team by setting 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 8+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin.
· You have an extensive track record of developing highly available distributed systems using technologies like AWS, MySQL, Spark and Kubernetes.
· You have experience developing consumer experiences using UI frameworks like React
· You have 2+ years of experience working in search or related recommendation engines
· You have experience delivering major features, system components or deprecating existing functionality in a system through the definition of a technical and execution plan. You write high quality code that is easily understood and used by others.
· You thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of large systems to understand how they work.
· Your growth and impact trajectory demonstrates that you have mastered gathering and iterating on feedback from your engineering and cross-functional peers.
· You have strong verbal and written communication skills that support effective collaboration with our global engineering team.
Base Pay Grade
- P
Equity Grade
- 7
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 monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).
CAN base pay range per year:
CAD $181,000 - $241,000
Location - Remote Canada
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.
#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.
As we build Affirm's advertising platform and evolve Marketplace into a best in class shopping destination, the ability to route and discover is one of the greatest levers for consumer experiences. Search is one of the highest impact surfaces, and we are building a new team that will own not just the recommendations and search experiences, but also explore opportunities to improve customer experience, monetization, and merchant value. This team will help make Affirm the definitive destination consumers turn to for discovery, understanding, comparing, and shopping through Affirm, and will also lay the foundation for an agentic platform.
What You'll Do
· You will be responsible for setting technical strategy for your team on a year-long time scale, and help your team tie it together with critical, business-impacting projects.
· You will collaborate across teams in the product development lifecycle by collaborating with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed.
· You will act as a force-multiplier for your team through your definition and advocacy of technical solutions and operational processes.
· You take ownership of your team’s operations and availability by ensuring you have the right monitoring, triage rotations, playbooks, policies, testing and alerting in place to support “keep the lights on” & on-call efforts.
· You will foster a culture of quality and ownership on your team by setting 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 8+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin.
· You have an extensive track record of developing highly available distributed systems using technologies like AWS, MySQL, Spark and Kubernetes.
· You have experience developing consumer experiences using UI frameworks like React
· You have 2+ years of experience working in search or related recommendation engines
· You have experience delivering major features, system components or deprecating existing functionality in a system through the definition of a technical and execution plan. You write high quality code that is easily understood and used by others.
· You thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of large systems to understand how they work.
· Your growth and impact trajectory demonstrates that you have mastered gathering and iterating on feedback from your engineering and cross-functional peers.
· 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.
Base Pay Grade
- P
Equity Grade
- 13
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 Pacific base pay range (CA, WA, NY, NJ, CT):
$230,000 - $290,000
USA Sapphire base pay range (all other U.S. states):
$204,00 - $264,000
#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: Metn, Lebanon
The Company
Toters is an on-demand e-commerce and delivery platform that enables customers to get anything in their city with the highest level of convenience.
Technology is at the heart of everything we do. Our product and engineering teams work every day to build experiences that make customers’ lives easier while continuously improving internal systems to deliver faster and at the best cost.
If you’re excited about working in a high-growth startup environment and want to be part of a team shaping the future of how people shop in the Middle East, we’d love to hear from you.
About the Role
Are you passionate about building scalable backend systems while owning the cloud infrastructure that powers them? As a
Senior Backend Engineer (Platform & DevOps)
at Toters, you'll split your time between designing and developing production-grade backend services and improving the cloud platform, deployment pipelines, and operational excellence that enable our engineering teams to deliver software safely and efficiently.
In this role, you'll own services end-to-end—from application design and implementation to deployment, monitoring, scalability, security, and production reliability. Working closely with Software Engineers, Product Managers, and Infrastructure teams, you'll help build resilient systems that power our products while continuously improving the developer experience.
In this role, you will:
Backend Engineering
Collaborate with cross-functional teams to translate business requirements into scalable backend solutions.
Design, develop, test, and maintain high-performance backend services using PHP (Laravel).
Design and build RESTful APIs and microservices that power customer-facing and internal applications.
Write clean, maintainable, and well-tested code following engineering best practices.
Optimize application performance, database queries, caching strategies, and system scalability.
Participate in architecture discussions and contribute to technical decisions that improve long-term maintainability.
Conduct thoughtful code reviews and mentor engineers through technical guidance and best practices.
Platform & DevOps
Design, build, and maintain cloud infrastructure on AWS to support highly available and scalable applications.
Build and improve CI/CD pipelines that enable fast, reliable, and secure software delivery.
Manage containerized applications using Docker and Kubernetes.
Automate infrastructure provisioning and configuration using Infrastructure as Code (Terraform or similar tools).
Improve system observability through monitoring, logging, alerting, and performance dashboards.
Optimize cloud infrastructure for scalability, reliability, security, and cost efficiency.
Participate in production incident response, troubleshooting, root cause analysis, and post-incident reviews.
Implement security best practices for applications, infrastructure, secrets management, and access control.
Continuously improve deployment processes, operational tooling, and developer experience across engineering teams.
Key Qualifications
Bachelor’s degree in Computer Science, Engineering, or a related field.
6+ years of experience in backend software engineering, with significant hands-on experience in cloud infrastructure and DevOps practices.
Strong experience developing backend applications using
PHP (Laravel)
.
Solid understanding of Object-Oriented Programming (OOP), SOLID principles, design patterns, and software architecture.
Experience designing and building RESTful APIs, distributed systems, and microservices.
Strong experience with relational databases such as
PostgreSQL
or
MySQL
, along with caching technologies such as
Redis
.
Strong hands-on experience with
AWS
, including services such as EC2, ECS, Lambda, RDS, S3, IAM, CloudWatch, VPC, and SQS.
Experience building and maintaining CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or similar tools.
Experience working with
Docker
and
Kubernetes
in production environments.
Experience using Infrastructure as Code tools such as
Terraform
or CloudFormation.
Strong understanding of Linux systems, networking fundamentals, and cloud security best practices.
Experience implementing monitoring, logging, and observability solutions using tools such as CloudWatch, Grafana, Prometheus, or the ELK stack.
Experience owning production systems, participating in on-call rotations, and resolving production incidents.
Strong communication skills with the ability to collaborate across teams and mentor engineers.
Passion for building scalable, secure, and reliable systems while continuously improving engineering excellence.
Nice to Have
Experience with
Go
,
Python
, or additional backend programming languages.
Experience with messaging and streaming technologies such as
Kafka
,
RabbitMQ
, or
AWS SQS/SNS
.
Experience deploying serverless applications using AWS Lambda.
Experience with Helm, ArgoCD, or GitOps workflows.
Experience building Internal Developer Platforms (IDPs) or improving developer tooling.
Experience with service mesh technologies such as Istio or Linkerd.
Experience working in high-growth technology companies, e-commerce, or on-demand delivery platforms.
AWS certifications are a plus.
Why Toters?
Flexible work environment with hybrid-friendly roles.
Opportunity to work across software engineering and cloud infrastructure, building systems that directly power Toters' products.
Solve complex engineering challenges involving backend architecture, cloud infrastructure, automation, and distributed systems.
Collaborate with talented engineers in a culture of ownership, mentorship, and continuous learning.
Direct impact on products used by thousands of customers every day.
Competitive compensation package.
Exclusive discounts on Toters orders.
First-class medical insurance.
Location: Metn, Lebanon
Head of AI Transformation
The Company
Toters is an on-demand e-commerce and delivery platform that enables customers to get anything in their city with the highest level of convenience.
Technology is at the heart of everything we do. Our product and engineering teams work every day to build experiences that make customers' lives easier while continuously improving internal systems to deliver faster and at the best cost.
If you're excited about working in a high-growth startup environment and want to be part of a team shaping the future of how people shop in the Middle East, we'd love to hear from you.
About the Role
Are you ready to make AI leverage a company's defining competitive advantage? As a Head of AI Transformation at Toters, you'll transform how we build software, unlock every function to build with AI, and compound our proprietary data and intelligence into product and business outcomes.
The role sits above day-to-day line management and is accountable for outcomes, cross-org alignment, and unblocking. You'll own direction, standards, and outcomes, while delivery is co-owned with our platform and area teams.
In this role, you will:
Your mandate spans four workstreams.
AI-native software development
Own the strategy and operating model for AI across planning, development, review, testing, and release.
Take our internal AI development harness to maturity across every engineering team, and define reusable AI workflows for our main types of engineering work.
Own AI governance: guardrails, code review policy (including reducing human review load where AI review quality supports it), validation standards for AI-generated code, and cost and usage visibility per team.
Deliver velocity with safety, measured by cycle time, review load, defect trends, and cost per unit of output.
Everyone is an AI builder.
Grow our internal AI building platform beyond engineering, activating domain experts across Product, Operations, Finance, and Commercial as builders.
Shape a Forward-Deployed Engineering function that finds high-value opportunities across the business and lands them as working AI solutions.
Build a compounding intelligence layer of shared context, prompts, patterns, and learnings that makes every new build faster than the last.
Drive adoption, measured by live use cases, functions actively building, and time from idea to working tool.
AI-native internal tooling
Make the AI-native path the default for building internal and admin tools, with the traditional engineering queue as the exception.
Partner with our admin platform and Design System teams so AI-built tools compose with shared foundations rather than fragmenting them.
Free up engineering capacity, measured by engineer-hours per month, moved from low-complexity internal requests to strategic work.
AI-powered customer features
Enable product teams to ship customer-facing AI features, partnering with our Applied AI platform on personalization, semantic search and recommendations, fraud intelligence, and intelligent spend.
Set the bar for production AI: evals, guardrails, degradation paths, and measurable business attribution for every AI feature.
Deliver shipped product impact: AI features live across multiple product domains with attributable gains in conversion, retention, or efficiency.
Across all workstreams
Drive alignment with engineering, product, and business leaders, and clear the blockers that slow adoption.
Act as Toters' technical reference on AI, guiding architecture decisions and evaluating tools, models, and vendors.
Mentor engineers and builders across the company to raise AI fluency and engineering excellence.
Report progress, trade-offs, and results clearly to leadership.
Key Qualifications
Bachelor's degree in Computer Science or a related field, or equivalent practical experience.
10+ years of software engineering experience, including several years setting technical direction across multiple teams at Staff or Principal level.
Hands-on experience building and shipping production LLM systems: retrieval, agents and tool use, evals, and guardrails.
Deep, daily experience with AI-assisted development tools, and a track record of driving their adoption across engineering teams.
Strong system design and backend foundations, with the depth to review architecture across services, data, and infrastructure.
Experience defining engineering standards, governance, or operating models and getting them adopted at organization level.
A data-driven approach to measuring engineering productivity and business impact (e.g., DORA metrics, A/B testing).
Proven ability to influence without authority across engineering, product, and business functions.
Strong English communication skills and the ability to explain AI trade-offs to technical and non-technical audiences.
Nice to Have
Production ML experience in personalization, search and recommendations, or fraud detection.
Experience enabling non-engineers to build with AI or low-code tools.
Experience managing LLM cost, usage, and vendor strategy at scale.
Experience as a Tech Lead Manager or leading a small engineering team.
Familiarity with PHP (Laravel), PostgreSQL, Redis, and AWS.
Previous experience with food delivery, e-commerce, or on-demand platforms.
Public work on AI engineering: talks, writing, or open-source contributions.
Why Toters?
Define how a high-growth company builds with AI, with company-wide scope and direct backing from leadership.
Flexible work environment with hybrid-friendly roles.
Opportunity to lead impactful initiatives and shape technical strategy.
Collaborate with talented engineers while growing your career.
Strong culture of mentorship, collaboration, and continuous learning.
Direct impact on products used by thousands of customers every day.
Competitive compensation package.
Exclusive discounts on Toters orders.
First-class medical insurance.
Location: Brussels, Belgium
We currently have a vacancy for an
Expert in AI/NLP/ML
fluent in English, to offer his/her services as an expert who will be based in Brussels, Belgium. The work will be carried out either in the company’s premises or on-site at the customer's premises. In the context of the first assignment, the successful candidate will be integrated into the Development team of the company that will closely cooperate with a major client’s IT team on-site.
Tasks:
Engaging with Business stakeholders, organising workshops and meetings to gather requirements;
Analysing needs in the archiving domain and translating them into robust technical specifications;
Designing and proposing AI- and cloud-based architectures that are secure, scalable, and costeffective;
Developing, testing, and deploying solutions leveraging Large Language Models (LLMs), vector databases, and orchestration frameworks (e.g., LangChain);
Building prototypes, Proofs of Concept, and production-ready services using Python and Jupyter Notebooks;
Leveraging AWS Cloud Services (e.g., S3, Lambda, SageMaker, Bedrock, API Gateway, ECS/EKS, CloudFormation/Terraform);
Preparing and maintaining technical documentation, ensuring knowledge transfer within the team;
Integrating solutions into existing data and archiving systems;
Monitoring, optimising, and supporting deployed solutions over time;
Collaborating closely with Business, IT Infrastructure, and Security teams to ensure long-term sustainability.
Requirements
Master’s degree in IT or a relevant discipline, combined with a minimum of 13 years of relevant working experience in IT;
At least 3 years of experience in LLMs: fine-tuning, prompting strategies, evaluation, and deployment;
At least 2 years of experience in LangChain or equivalent frameworks for LLM orchestration;
At least 2 years of experience in Vector databases;
At least 2 years of experience in Python, with practical use of Jupyter Notebooks;
At least 2 years of experience in AWS services for AI, data, and cloud-native development;
At least 1 year of experience in Machine Learning Operations, including CI/CD pipelines and monitoring of AI solutions;
At least 1 year of experience in data engineering and archiving best practices;
Good knowledge of Docker, Kubernetes and security best practices in AI and cloud-based deployments would be an advantage;
Knowledge of DevOps/Infrastructure-as-Code tools beyond AWS (Terraform, Ansible) and data governance frameworks and compliance standards (e.g., GDPR) would be an advantage;
AWS Solutions Architect, AWS Machine Learning, AWS DevOps Engineer, TensorFlow Developer or equivalent AI/ML credentials, Kubernetes Administrator (CKA), TOGAF or equivalent enterprise architecture framework certifications would be an asset;
Excellent command of the English language.
Benefits
If you are seeking a career in an exciting, dynamic and multicultural international environment with exciting opportunities that will boost your career, please send us your detailed CV in English, quoting reference
(19007/11/2026).
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 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 1000 engineers, IT experts and consultants (around 3% PhD, 36% MSc and 53% 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, age, 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 authorise ED to process your personal data for the purposes of the company's recruitment opportunities, in line to the Policy.
Tel Aviv-Yafo, Gush Dan, Israel
УдалённоseniorБолгария, Испания, Португалия; Locations: Spain, Bulgaria, or Portugal ONLY (relocation assistance may be provided); Описание вакансии Locations: Spain, Bulgaria, or Portugal (relocation assistance may be provided); Possible assistance with relocation to Spain or Bulgaria (visa support & relocation package)
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УдалённоseniorБолгария, Испания, Португалия; Locations: Spain, Bulgaria, or Portugal ONLY (relocation assistance may be provided); Описание вакансии Locations: Spain, Bulgaria, or Portugal (relocation assistance may be provided); Possible assistance with relocation to Spain or Bulgaria (visa support & relocation package)
УдалённоThis is a globally remote role, typically leading a team concentrated within a major time zone such as EMEA or the Americas; Home based - EMEA
Boston, Massachusetts; Foster City, California; Marlton, New Jersey; Remote, United States; You'll work American-timezone hours to give our global community timely, effective support; Comfort working independently across distributed teams and time zones; The ability to work aligned with American time zones
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