Location: Remote
Workplace: Remote
ABOUT US
Launched in 2019, Constructor is an AI-first ecommerce search and discovery platform that helps shoppers find the right products at the right time and enables leading global e-commerce brands to drive meaningful revenue and conversion gains.
ABOUT THE ROLE
Our Platform Enablement team is a developer-centric SRE team dedicated to treating our internal engineers as our primary customers. We maintain the foundational layers that impact daily workflows—including observability, CI/CD, and workload orchestration—with the goal of making it simpler and more efficient for teams to deploy and manage their services. If you are passionate about eliminating friction, automating repetitive tasks, and engineering self-service architectures, we would love to meet you.
WHAT YOU'LL DO
- Manage and advance our internal observability ecosystem, including technologies like Grafana, VictoriaMetrics, and OpenSearch, to empower teams in troubleshooting their own workloads.
- Enhance CI/CD workflows and developer utilities using Jenkins and GitHub Actions to optimize the build and deployment lifecycle.
- Guide the adoption of Kubernetes and establish standardized patterns for deploying various workloads.
- Collaborate closely with engineering teams to resolve technical bottlenecks and build custom tooling when existing solutions fall short.
- Contribute to the development and maintenance of our Internal Developer Platform based on Backstage.
- Develop and support specialized tooling for AI-driven initiatives.
WHAT YOU'LL BRING
- More than 5 years of professional experience in SRE or DevOps roles with a clear emphasis on enabling developer success.
- Strong interpersonal skills and a deep sense of empathy for the challenges faced by software developers.
- Proven expertise in AWS and Kubernetes environments, coupled with a mastery of Infrastructure as Code via Terraform or similar frameworks.
- Practical experience managing monitoring stacks and deployment pipelines at scale.
- A natural inclination toward building automated, reusable systems that favor self-service over manual intervention.
- A track record of integrating AI tools into your engineering methodology to improve productivity.
NICE TO HAVE
- Familiarity with the broader ecosystem including ClickHouse, Sentry, or developer portals like Backstage.
- Understanding of FinOps principles and strategies for optimizing infrastructure expenditure.
- Previous involvement in constructing or scaling internal developer platforms.
BENEFITS
- 🏝️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year
- 🌎 Fully remote team - choose where you live
- 🛋️ Work from home stipend! We want you to have the resources you need to set up your home office
- 💻 Apple laptops provided for new employees
- 🧑🎓 Training and development budget for every employee, refreshed each year
- 👪 Maternity & Paternity leave for qualified employees
- 🧠 Work with smart people who will help you grow and make a meaningful impact
- 💵 This position has a base salary range between $80k and $120k USD. The offer varies on many factors including job related knowledge, skills, experience, and interview results.
- 🎉 Regular team offsites to connect and collaborate
DIVERSITY, EQUITY, AND INCLUSION AT CONSTRUCTOR
At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group.
Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications.
How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.
Location: Vilnius
500M+ downloads. 80M+ monthly users. A decade of building – and we’re still accelerating.
Flo is the world’s #1 health & fitness app worldwide on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 – and we’re not slowing down.
With 7M paid subscribers and the highest-rated experience in the App Store’s health category, we’ve spent 10 years earning trust at scale. Now, we’re building the next generation of digital health – AI-powered, privacy-first, clinically backed – to help our users know their body better.
The job
The Velocity team exists to eliminate friction. We treat our internal developers as our customers. You will:
Abstract Complexity:
Build intuitive tooling that enables self-service allowing devs to focus on product logic.
Standardize Excellence:
Bake best-practices, security, observability, and scalability into the core stack so they aren't afterthoughts.
What You Will Do
Developer Experience:
Build self-service tools that give product teams autonomy without sacrificing system stability.
Platform Engineering:
Architect and evolve our core stack (AWS, EKS, Terraform).
Systems Resilience:
Lead reliability initiatives, including business continuity planning and a sustainable on-call rotation.
High-Scale Privacy:
Support the infrastructure for industry-leading privacy features, such as our TIME-recognized "Anonymous Mode."
Observability:
Implement best-in-class monitoring (metrics, logs, tracing) to ensure issues are identified and mitigated before they impact the user.
What You Bring
Experience:
15+ years in AWS Infrastructure, DevEx, SRE, or DevOps roles supporting high-traffic, distributed environments.
Cloud Native Mastery:
Deep expertise in AWS and Kubernetes (K8s) is essential.
Automation Mindset:
Proficient in Infrastructure as Code (Terraform), a coding background with experience with Python, Scala or Go would be beneficial.
Technical Breadth:
You will feel comfortable at all levels of the stack, from developing front ends using React through to engineering Terraform modules to deliver infrastructure abstractions.
Communication:
A "doc-first" mentality and the ability to collaborate across distributed product teams.
AI First: You will have experience of the impact which AI automation is having on development teams and the software delivery lifecycle and have strong ideas on how to support them through it
Bonus Points
Background in hardening infrastructure for high-compliance or security-sensitive environments.
Experience scaling consumer tech platforms with millions of concurrent users.
Professional Accreditation such as AWS Professional Architect, CKAD or KCSA.
Why Join Flo?
High Impact:
Flo is re-writing women’s health.
Autonomy:
We hire experts and empower you to deliver.
Cutting-Edge Stack:
Work with modern tools like Sentry, EKS, and Terraform in a fast-paced, "fail-forward" environment at a huge scale.
Salary Range - gross per month (ranges may vary based on skills and experience)
€8.000
—
€12.000 EUR
How we work
We’re a mission-led, product-driven team. We move fast, stay focused and take ownership – from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar.
You’ll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it.
What you'll get
We support impact with meaningful reward. Here’s what that looks like:
Competitive salary and annual reviews
Opportunity to participate in Flo’s performance incentive scheme
Paid holiday, sick leave, and female health leave
Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents
Accelerated professional growth through world-changing work and learning support
In-person collaboration and work in a hybrid model, with 3 days per week spent in the office
5-week fully paid sabbatical at 5-year Floversary
Flo Premium for friends & family, plus more health, pension and wellbeing perks
Diversity, equity and inclusion
Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role – nothing else. We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our
privacy notice for job applicants
.
Location: London
500M+ downloads. 80M+ monthly users. A decade of building – and we’re still accelerating.
Flo is the world’s #1 health & fitness app worldwide on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 – and we’re not slowing down.
With 7M paid subscribers and the highest-rated experience in the App Store’s health category, we’ve spent 10 years earning trust at scale. Now, we’re building the next generation of digital health – AI-powered, privacy-first, clinically backed – to help our users know their body better.
The job
The Velocity team exists to eliminate friction. We treat our internal developers as our customers. You will:
Abstract Complexity:
Build intuitive tooling that enables self-service allowing devs to focus on product logic.
Standardize Excellence:
Bake best-practices, security, observability, and scalability into the core stack so they aren't afterthoughts.
What You Will Do
Developer Experience:
Build self-service tools that give product teams autonomy without sacrificing system stability.
Platform Engineering:
Architect and evolve our core stack (AWS, EKS, Terraform).
Systems Resilience:
Lead reliability initiatives, including business continuity planning and a sustainable on-call rotation.
High-Scale Privacy:
Support the infrastructure for industry-leading privacy features, such as our TIME-recognized "Anonymous Mode."
Observability:
Implement best-in-class monitoring (metrics, logs, tracing) to ensure issues are identified and mitigated before they impact the user.
What You Bring
Experience:
15+ years in AWS Infrastructure, DevEx, SRE, or DevOps roles supporting high-traffic, distributed environments.
Cloud Native Mastery:
Deep expertise in AWS and Kubernetes (K8s) is essential.
Automation Mindset:
Proficient in Infrastructure as Code (Terraform), a coding background with experience with Python, Scala or Go would be beneficial.
Technical Breadth:
You will feel comfortable at all levels of the stack, from developing front ends using React through to engineering Terraform modules to deliver infrastructure abstractions.
Communication:
A "doc-first" mentality and the ability to collaborate across distributed product teams.
AI First: You will have experience of the impact which AI automation is having on development teams and the software delivery lifecycle and have strong ideas on how to support them through it
Bonus Points
Background in hardening infrastructure for high-compliance or security-sensitive environments.
Experience scaling consumer tech platforms with millions of concurrent users.
Professional Accreditation such as AWS Professional Architect, CKAD or KCSA.
Why Join Flo?
High Impact:
Flo is re-writing women’s health.
Autonomy:
We hire experts and empower you to deliver.
Cutting-Edge Stack:
Work with modern tools like Sentry, EKS, and Terraform in a fast-paced, "fail-forward" environment at a huge scale.
How we work
We’re a mission-led, product-driven team. We move fast, stay focused and take ownership – from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar.
You’ll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it.
What you'll get
We support impact with meaningful reward. Here’s what that looks like:
Competitive salary and annual reviews
Opportunity to participate in Flo’s performance incentive scheme
Paid holiday, sick leave, and female health leave
Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents
Accelerated professional growth through world-changing work and learning support
In-person collaboration and work in a hybrid model, with 3 days per week spent in the office
5-week fully paid sabbatical at 5-year Floversary
Flo Premium for friends & family, plus more health, pension and wellbeing perks
Diversity, equity and inclusion
Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role – nothing else. We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our
privacy notice for job applicants
.
Задачи:
— Создавать Kubernetes-операторы для управления жизненным циклом ресурсов.
— Разрабатывать публичное API платформы и внутренние сервисы на Go.
— Участвовать в полном цикле SDLC: от проектирования до эксплуатации и мониторинга.
— Реализовывать оркестрацию компонентов платформы и интеграцию с внешними системами.
— Обеспечивать бесперебойную работу облачной платформы и развивать инструментарий поддержки.
Требования:
— Опыт разработки на Golang от 4-5 лет.
— Опыт работы с Kubernetes и написания k8s-операторов.
— Глубокое понимание работы с PostgreSQL, Redis, NATS, S3.
— Навыки администрирования Linux и понимание сетевых основ (L2/L3, TCP/IP).
— Опыт проектирования распределенных систем.
Условия:
— ДМС со стоматологией с первого дня работы.
— Компенсация психологических консультаций и 50% оплаты фитнеса.
— Оплата обучения английскому языку и разговорные клубы.
— Возможность участия в профессиональных конференциях.
— Развитая корпоративная культура: спортивные турниры, киновечера, настольные игры.
Location: Israel
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.
About Tavily
We're building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent — but also informed.
We work with some of the most innovative teams in AI — from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it's powering sales assistants, research copilots, or internal knowledge tools, we're the missing link between LLMs and the real world.
The Role:
Senior Site Reliability Engineer
Managing Kubernetes clusters across multiple environments and regions
Owning infrastructure as code for all resources
Maintaining and improving CI/CD pipelines and GitOps-based deployments
Maintaining and optimize real-time data pipelines that process billions of events per day across distributed queues and stream processors
Building out monitoring, alerting, and observability
Debugging production issues across services
Managing cloud costs and capacity planning
Working closely with a small engineering team — you'd own infra, not a slice of it
What we're looking for
5-8 years in a DevOps or platform engineering role, working in production environments
Proven experience designing and operating large-scale, distributed systems, with a solid understanding of API design, reliability, and performance at scale
Strong Kubernetes experience in a managed cloud environment
Proficiency with infrastructure as code (Terraform or similar)
Experience with GitOps-based deployment workflows
Built or maintained observability stacks (logging, metrics, alerting)
Experience handling production incidents calmly and methodically
Nice to have:
Multi-region deployments
Search infrastructure
Data pipeline experience (streaming, warehousing)
Proxy/networking infrastructure at scale
Why Tavily?
Full ownership
— small team, you own the entire infrastructure, not a slice of it
Real scaling challenges
— bursty scraping workloads, cache invalidation, multi-region, millions of daily requests
AI-native company
— your infra directly powers AI agents used by leading companies in the space.
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.
Location: Tel Aviv, Israel
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 is seeking a deeply experienced Security Analyst - Tier 3 for its Security Operations Center (SOC). This role is a senior individual-contributor position, leading challenging investigations, setting the standards the SOC operates by. This role reports to the SOC Manager, under the Detection and Response function within the CISO Office.
Your responsibilities will include:
Lead complex, multi-stage, multi-domain investigations end to end, from scoping through deep technical analysis to a clear determination of impact and root cause.
Serve as the SOC's senior escalation point and the quality gate for investigations across the team.
Support the Incident Response team during confirmed incidents with continued telemetry investigation, scoping, and analytical depth.
Continuously sharpen how the SOC investigates, identifying gaps in methods, runbooks, and tooling through daily casework and turning them into concrete improvements.
Mentor Tier 1 and Tier 2 analysts through case reviews, coaching, and pairing during investigations.
Partner with Security Engineering, Platform Security, Threat Intelligence, SOC Automation, and additional teams to turn what the SOC learns into stronger detection and response across Nebius.
Participate in readiness activities - tabletops, post-incident reviews, and purple-team engagements.
Participate in the on-call rotation as the senior point of contact outside business hours.
We expect you to have:
Experience
Around 8-10 years of hands-on experience in security operations or incident response, with a track record of leading complex investigations.
Technical Expertise
Expert-level investigation capability across multiple domains: endpoint, identity, cloud, and network.
Solid understanding of cloud-native environments, including containers, Kubernetes.
Deep practical fluency with EDR, SIEM query languages, and log analysis.
Deep knowledge of Windows and Linux internals, applied to artifact and behavioral analysis.
Fluency in attacker TTPs (MITRE ATT&CK), including the Cloud and Containers matrices.
Strong scripting and data-analysis skills (Python, SQL/KQL) for investigation at scale, with the ability to validate findings independently and challenge assumptions.
Advanced certifications such as GCIH, GCFA, GNFA, GCFE, or OSCP are an advantage.
Leadership & Communication
Technical leadership through credibility, raising the team's bar without relying on formal authority.
Calm and structured during high-severity incidents, making sound decisions amid uncertainty.
Excellent written communication, turning complex investigations to clear narratives others can act on.
Fluent in English, written and verbal, comfortable working with international teams and stakeholders.
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.
Location: Espoo
Workplace: Hybrid
- Senior Software Engineer (Telemetry)
- Fleet Automation, Engineering
- Espoo, Finland
- Permanent
- Hybrid
- Employment is subject to applicable security screening (incl. SUPO)
The Mission of the Senior Software Engineer (Telemetry)
Satellite telemetry does not forgive gaps. Build the systems that make sure there are none.
ICEYE's SAR constellation generates a continuous stream of data that fleet operations depend on to function. As a Senior Software Engineer on the Fleet Automation team, you will be a key contributor to the infrastructure that makes that data usable: the pipelines, parsers, and time-series stores that translate raw satellite signals into operational state in near real-time. The scope is expanding, the ownership is real, and the engineering problems are ones you will not find anywhere else.
Who We Are
ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE's world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world's largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy, day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits.
As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE's near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring (including oil-spill detection), and finance, contributing to global security and community resilience.
ICEYE operates internationally with offices in Finland, Poland, Spain, Japan, the UAE, Greece, and the US. The company has more than 900 employees, inspired by the shared vision of improving life on Earth by becoming the global source of truth in Earth Observation.
Expected Outcomes and Requirements
Outcomes:
- Telemetry pipelines ingest, transform, and store satellite data from across the fleet reliably and in near real-time, with minimal manual intervention
- Telemetry data stores are performant and well-maintained, including schema design, query optimisation, capacity planning, and zero-downtime production migrations
- Anomaly detection and automated recovery systems reduce operational load on the mission operations team
- TTC gateway telemetry integration is delivered as a production-grade component ready for customer deployment
- Engineering quality across the team is actively raised through code reviews, testing standards, and support of less experienced engineers
Role-specific Competences
- Strong Python proficiency in production backend systems; experience with Go or Rust is a plus
- Proven experience building and operating telemetry systems, data pipelines, and distributed systems in production
- Strong working knowledge of PostgreSQL and at least one time-series database such as InfluxDB or Prometheus
- Hands-on experience with Kubernetes-native environments, Docker, and infrastructure-as-code tools such as Terraform and Helm
- Actively uses AI and LLM tooling as part of their engineering workflow
- AWS or equivalent cloud platform experience is a plus
Key Competences
In addition to the requirements above, we evaluate candidates on these key qualities throughout the hiring process:
Intellectual Firepower: Rapidly comprehends, structures and synthesizes complex information, draws accurate conclusions, and communicates them with clarity.
Passion and Work Ethic: Brings sustained motivation, resilience, and high personal standards to every challenge.
Ownership and Action: Assumes full accountability for outcomes, acting decisively, and ensuring commitments are delivered.
Team Player: Works collaboratively across teams, contributing to shared success, and engaging in constructive debate.
Integrity and Growth Mindset: Operates with transparency and humility, learns from setbacks, and actively seeks opportunities to grow.
Application Process
- TA Partner Screen
- Hiring Manager Interview
- Technical Interview
- Values and Fit Interview
- Final Interview with SVP of Engineering
What We Offer at ICEYE
At ICEYE, you will join a diverse and highly engaged team united by the ambition to make the impossible possible. We know that we will succeed only through exceptional people in our team, which is why your growth, wellbeing, and success are a priority.
As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. You will benefit from continuous professional development, training opportunities, and a culture that values collaboration, curiosity, and integrity. ICEYE is a place where your contributions have a visible impact, and where we celebrate success together.
Benefits
- A job that matters in a dynamic Defense Technology and Earth Observation environment with a scale-up approach
- An independent role with a supportive and diverse work environment
- Occupational healthcare, occupational, and accident insurance
- A yearly benefit budget to spend as you wish (sport, transport, bike benefit, wellness, lunch, etc.)
- Phone subscription with iPhone of choice
- Relocation support (flight tickets, accommodation, relocation agency support)
- Time for self-development, research, training, conferences, or certification schemes
- Inspiring and collaborative offices and silent workspaces to enable focus
Base salary range for this position is 6 000 to 8 500 EUR per month (gross), contingent on your experience level, and will be negotiated individually.
Our Commitment to Diversity, Equity, and Inclusion
At ICEYE, we believe that diversity is not just a buzzword, it is our greatest asset.
We are committed to fostering an inclusive environment where every voice is not only heard but celebrated. We know that diverse perspectives breed innovation and creativity, which is why we actively seek out individuals from all walks of life, backgrounds, and experiences.
Whatever your background, we want you to bring your authentic self to the table. Join us and be part of a team where differences are not only embraced but cherished, because together, we are stronger.
We welcome applications from people of all backgrounds, including those who may need workplace adjustments. If you require any specific accommodations or assistance during the recruitment process for any reason, please let us know.
Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.
Location: Baku
Workplace: onsite
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
Qualifications & Skills:
Experience:
5+ years of experience focused heavily on CI/CD automation, release engineering, or developer tooling, with at least 2+ years leading a technical team.
Platform Expertise:
Deep, hands-on administrative experience with
GitLab
and
GitHub
. You understand the nuances of managing large enterprise instances, enforcing branch protections, and configuring complex role-based access.
CI/CD Mastery:
Expert-level knowledge of GitLab CI and GitHub Actions. You know how to build modular, reusable pipelines and can quickly debug complex build failures.
Developer Empathy:
A strong customer-service mindset focused on developer experience (DevEx). You enjoy collaborating with software engineers and solving their deployment pain points.
Containerization Knowledge:
Strong understanding of Docker and building containerized applications, as well as how pipelines interact with Kubernetes environments during deployment.
Communication:
Excellent English communication skills to effectively collaborate and provide support across our distributed, global engineering teams.
Responsibilities
Team Leadership:
Manage, mentor, and grow a dedicated team of CI/CD engineers and version control administrators.
Platform Administration:
Serve as the technical owner of Xsolla’s enterprise GitLab and GitHub environments. Ensure high availability, performance, access management, and regular maintenance of these critical platforms.
Developer Deployment Support:
Act as the primary support layer for development teams regarding their deployment processes. Troubleshoot failing builds, optimize pipeline performance, and provide hands-on guidance to help developers deploy their code efficiently.
Pipeline Standardization:
Design, build, and maintain centralized CI/CD pipeline templates and automated workflows. Make it easy for developers to adopt best practices without having to write complex deployment scripts from scratch.
Runner Management:
Oversee the dedicated infrastructure for GitLab Runners and GitHub Actions. Scale and optimize these build environments to eliminate queuing delays and reduce build times.
Security Integration:
Partner with the Information Security team to ensure version control access complies with PCI-DSS. Integrate security scanning tools (SAST/DAST, dependency checks) directly into the deployment pipelines without severely impacting build speed.
Nice to Have:
Experience migrating large codebases between GitLab and GitHub.
Scripting skills (Python, Bash, or Go) to automate routine repository management tasks.
A passion for the video game industry!
Benefits:We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.
Equal Employment Opportunity Statement:Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.
Location: Bengaluru, Karnataka, India, APAC
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the role
We’re looking for a Staff Infrastructure Engineer with GCP, Azure, or AWS expertise to help us build a seamless, reliable platform for the dbt platform across AWS, Azure, and GCP. Our team’s mission is to create a seamless developers experience by providing a stable, observable, and easy-to-use infrastructure platform.
Over the past year, we’ve designed and operationalized a next-gen cell-based architecture, scaling the dbt platform across all three cloud providers. Now, we’re focused on automation, self-service, and improving developer velocity through better tooling, processes, and infrastructure design.
As an Staff engineer on our team, you’ll work on medium projects, helping to refine our platform while ensuring performance, reliability, and a great developer experience. You’ll collaborate across teams, solve real infrastructure challenges, and help shape the future of multi-cloud dbt Cloud.
What You'll Do
Design, operate, and support infrastructure systems with parity across tenancy models (single vs multi) and public clouds (AWS, Azure, and GCP) - and work with engineering teams to get their services consistently deployed to those environments
Bring cloud infrastructure expertise to the team, helping us strengthen and scale our infrastructure as we expand dbt Cloud’s multi-cloud capabilities.
Help create a great developer experience while working with our close partners in Architecture, Release Engineering, Product Engineering and Security
Leverage tools and languages such as Terraform, Kubernetes, Python, Bash, Helm, ArgoCD, Go, and DataDog
Design and build automation to eliminate manual toil and streamline infrastructure operations at scale
Identify and implement infrastructure optimizations that reduce cloud spend without sacrificing reliability
Participate in a balanced on-call rotation in an environment that values continuous improvement, and help to upgrade our tooling and reduce toil
Skills We're Looking For
10+ years of Experience with the clouds, tools, and languages in our stack, especially: AWS\Azure\GCP, Terraform, Kubernetes, Python, and Bash
Solid experience with declarative Infrastructure as Code - ideally with Terraform or a willingness to learn while leveraging your CloudFormation or ARM\Bicep background
Love to automate tasks
Worked asynchronously as part of a fully-remote, distributed team - and have excellent communication and writing skills
Prior experience in a multiple cloud environment
More extensive Kubernetes administration and troubleshooting background
#LI-HYBRID
#LI-JI1
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: London, UK
The Data Platform Architect is the premier technical authority within Data Engineering. Serving as a senior individual contributor, this role owns the end-to-end technical strategy and system architecture of the data platform. Operating with a high degree of autonomy, the Data Platform Architect partners closely with EPD (Engineering, Product, Design) leadership to make critical high-stakes architectural decisions, establish company-wide data patterns, and ensure platform alignment with long-term business goals.
Own the architectural blueprint and long-term technical vision for the global data platform, sequencing delivery incrementally to avoid high-risk migrations.
Architect the analytics, semantic, and AI data layers to securely expose trustworthy metrics, feature usage signals, and skill intelligence models across the enterprise.
Address and resolve high-complexity architectural challenges surrounding multi-tenant isolation, consistency, streaming/batch processing performance, and data contracts.
Formulate architectural standards, governance frameworks, and data modeling conventions adopted across engineering teams.
Oversee platform-level observability, data quality frameworks, SLAs, and lead root cause analysis (RCA) on systemic platform failures.
Guide and mentor senior engineering staff on system design, technical trade-offs, and architectural decision-making.
Proven experience in a Data Platform Architect or Staff-level Data Engineering role designing and scaling enterprise data platforms.
Deep expertise in data architecture, data warehousing, data lakes, and both real-time (streaming/CDC) and batch processing paradigms.
Strong hands-on proficiency in Python for back-end engineering and platform-level software design.
Demonstrated expertise in modern data transformation frameworks, specifically complex dbt project architecture.
Extensive background in SQL and NoSQL database schema design, modeling at scale, and multi-tenant isolation patterns.
Experience with Infrastructure as Code (IaC) and containerization frameworks (e.g., Terraform, Kubernetes) to support platform infrastructure.
Expertise in defining data quality, observability, data contract, and incident management standards.
Exceptional executive-level communication and stakeholder management skills with a proven ability to articulate architectural trade-offs.
Hands-on experience with TypeScript / Node.js back-end environments.
Practical familiarity with BigQuery, PostgreSQL, MongoDB, and Apache Kafka.
Experience integrating customer event collection platforms (e.g., Segment) into unified data architectures.
Direct experience designing data modeling architectures for AI, ML, or agentic workloads.
Задачи:
- Развивать и поддерживать backend-сервисы продукта «Циан.Сделка»;
- Проектировать и реализовывать новые продуктовые возможности вместе с командой разработки, аналитиками и продуктом;
- Работать с микросервисной архитектурой и интеграциями между сервисами;
- Участвовать в проработке технических решений, декомпозиции задач и развитии архитектуры продукта;
- Анализировать и оптимизировать производительность сервисов и баз данных;
- Работа будет важной частью пути продукта от идеи до воплощения.
Требования:
- Опыт коммерческой разработки на Python от 3+ лет, применение асинхронных фреймворков;
- Умение писать поддерживаемый и тестируемый код;
- Опыт проектирования микросервисной архитектуры и архитектуры БД;
- Рассуждение в технических вопросах от бизнеса;
- Умение оптимизировать производительность приложения и базы данных;
- Желателен опыт с Kafka, ELK, Sentry, Grafana, SQLAlchemy, Docker, Kubernetes, Jenkins.
Location: Canada
What The Role Is
As a
Senior Engineer
at Babylist, you take on hard problems and own them end-to-end. Millions of families depend on what we build. Agents write most of the code now. So the hard part is yours: what to build, how it should work and whether what shipped was right. You're still in the code for the genuinely hard problems. Agents handle the volume. You spend your time on the parts that need a person.
We're building well beyond the registry now: the financial side of raising a kid, maternal health made simpler and more human, the education new parents are looking for and the community around them. The hard problems run across all of it, plus the platform underneath and the AI we already ship to families. You'll start on a team, but you won't be boxed into it. The roadmap is open, your scope grows as you do and you have a say in what you take on next. Senior here means owning whole problems; Staff is the next step up, setting direction across a domain.
What You'll Own
A Senior Engineer here owns problems, not just features. You're handed an outcome, you decide what to build, ship it and own whether it worked. You act on incomplete information and change course fast when the evidence says you were wrong.
What you do depends on what the team needs:
Frame the problem with your PM as a peer, run the experiment and bring customer evidence into what gets built.
Harden a critical path, kill a class of incidents or design the abstraction your team builds on.
Be the reviewer people want on the risky changes.
Manage up with crisp choices: raise the risks early and protect the right tradeoffs.
Share what you're learning about AI openly, so the whole team gets sharper.
A few problems people at this level are working on right now:
Deciding what the registry recommends to each family, from the ranking to the model behind it, and proving in a live experiment that it actually helps.
Building the evals system that catches our AI support agent making things up before a customer does.
Making a child's info one source of truth instead of five disconnected flows, so parents set it up once and new products like Early Investor build on it.
Who You Are
You've been shipping production systems for years, and you've got the judgment to show for it. You can pick up an ambiguous problem and start moving before anyone hands you the full picture.
The strongest Senior engineers here are generalists, and usually the most prolific builders on their team. You go wherever the problem leads: a backend service one week, a stubborn frontend bug the next, the data pipeline after that. When it's hard you dig in, and you learn unfamiliar parts of the stack fast. Range is the Senior signature.
Compensation
We post real numbers. For a Canada-based Senior Engineer, the starting base salary range is $255,900 to $318,600 CAD, plus a target annual bonus of 15 percent of base. That's total target cash of roughly $294,285 to $366,390 CAD. On top of that you get meaningful equity and an RRSP match. Where you start in that range depends on your experience, and your pay grows from there with performance and scope.
How We Build
AI is the default here. Engineers run agentic sessions for most of the work, and a lot of the interesting engineering now lives in the scaffolding that makes the agents good: the eval harnesses, the curated context, custom review skills and fast CI. Agents also triage incidents and handle a big share of support. A human always owns the outcome. The architecture is intentionally simple: one Rails monolith, MySQL and few moving parts. That's deliberate. Simple infrastructure lets us move fast and lets AI reason about the whole system, so the hardest problems are the ones in front of customers.
The Stack
Core app:
Rails, Packwerk, React, TypeScript, Sidekiq
Mobile:
iOS (Swift), Android (Kotlin)
Data, search & events:
MySQL, Snowflake, dbt, Airflow, Weaviate, WarpStream, Hex, Sigma
Machine learning:
deep learning, matrix factorization, retrieval & ranking, AWS SageMaker, MLflow
AI & dev tooling:
Claude Code, Devin, Linear, CodeRabbit, Warden, LangChain, Bedrock AgentCore, Maxim
Infra & ops:
AWS, Kubernetes, Terraform, GitHub Actions, Datadog, incident.io, LaunchDarkly
Key integrations:
Shopify (payments), Iterable (CRM)
Why Babylist
An engineer, expecting her first baby, couldn't find the registry she wanted. So she built it. That's how Babylist started, and it's still how we work: engineers solving problems for families. Becoming a parent is one of the biggest moments in a person's life. Millions reach it for the first time every year, making thousands of decisions and figuring it out as they go. That's who we build for, and we're a long way from done.
Ten million people give gifts through Babylist every year. We did more than $750M in revenue in 2025, up 45 percent over the year before, and we've been profitable for eight years while staying independent. So you can take on a hard, multi-year problem without watching over your shoulder for the next round or the next correction. And the team is small, around 65 engineers, so what you ship stays visible and your scope stays wide.
How We Work
Remote-first across the US and Canada, and we have been for years. That's not changing. We trust you to own your time and your outcomes, and we get everyone in a room together twice a year. Teams are small, pods of three to five engineers, so nothing you ship disappears into a committee. You'll work shoulder to shoulder with product, design and data, and with the partners across the business who rely on what you ship. You'll also stay close to customers yourself: sitting in on user interviews, watching session recordings, riding along with support. Here that's part of the engineering job, on a regular basis.
How We Hire
Three rounds, usually two to three weeks, start to finish.
Recruiter conversation (30 minutes).
Trade context: what you want next, what we're building and straight answers on comp, team and remote.
Technical screen (1 hour).
One round, no AI, language-agnostic. Reach for Google when you normally would. We just want to see how you reason from first principles.
Final round (4 hours).
Four one-hour interviews: system design, AI-assisted coding with the tools you'd actually use here, product sense and culture and values. You'll hear back either way within 24 to 48 hours.
If your timeline is tight, tell us and we'll move faster.
Benefits
Company-paid medical and fully covered dental and vision
A RRSP match
Generous paid parental leave for birthing and non-birthing parents, plus a gradual return-to-work program
Winter Wonder Week, a paid company-wide week off at the end of the year
A remote-work stipend
Mental-health and wellness support
A Few Things To Know
We record and transcribe interviews to evaluate candidates, in line with applicable privacy laws.
We expect you to use AI in your work and we welcome it in the process, but what you submit and say should reflect your own thinking.
If you have a family member or close relationship with a Babylist employee, let your recruiter know.
Official outreach only ever comes from an @babylist.com address.
Location: Canada
What The Role Is
As a
Staff Engineer
at Babylist, you own some of our hardest domains and decide where they go. Millions of families depend on what we build. Agents write most of the code now. So the hard part is yours: what to build, how it should work and whether what shipped was right. You're still in the code for the genuinely hard problems. Agents handle the volume. You spend your time on the parts that need a person. We're building well beyond the registry now: the financial side of raising a kid, maternal health made simpler and more human, the education new parents are looking for and the community around them. The hard problems run across all of it, plus the platform underneath and the AI we already ship to families.
You'll own a big piece of the product, but you won't be boxed into it. The roadmap is open. You have a say in which bets we make, and you pick what you take on next.
What You'll Own
A Staff Engineer here sets direction. You own a domain: a product surface, a platform area or a capability that cuts across several teams. You set where it's going over the next year or two, sequence the bets that get there and make the technical and product calls along the way. You're still in the code. We don't have architects who've stopped building. If you stepped away, multiple teams would feel it. Your influence shows up in the systems and the work other teams choose to build on. You don't need direct reports to have that reach. It comes from what you build.
In practice, you:
Take a fuzzy business problem from the first sketch through to production, and stay on the hook for whether it actually helped customers.
Build the platform or tooling other teams adopt by choice, and own it as it scales.
Make the architecture calls that span teams and the ones that are expensive to reverse.
Set the standard for how your domain builds with AI. Decide what good looks like, build the patterns and evals that get agents there and catch the output that's confidently wrong before it ships.
Partner with product, design and data as a peer, shaping what's worth building from the start.
Coach Senior engineers through the hard calls, the ambiguous ones as much as the technical ones.
A few problems people at this level are working on right now:
Resolving one customer across registry, shop and health, plus the friends and family buying for them, so personalization works everywhere without each team rebuilding it.
Designing the knowledge system our coding agents reliably load, and working out how much context actually helps before it starts to hurt.
Building Early Investor, our new family finance product, from scratch, on a deadline that can't move.
Who You Are
You've shipped production systems for enough years to have earned strong opinions, and you hold them loosely. You can pick up an ambiguous problem and start moving before anyone hands you the full picture. You've already changed how a team builds with AI, and the new way stuck. Most Staff engineers lean one of two ways, and both do well here. Some point their depth at the systems everyone runs on: the platforms, the reliability and security bar, the harnesses that make AI produce good code. Others point it at the customer: framing the problem with PMs as peers, owning a journey end to end, deciding what to build and learning whether it worked. You don't have to be both. You do have to be excellent at one and fluent in the other.
A few things that tend to be true of people who thrive here:
You measure yourself by impact: a customer outcome, or a system a dozen teams come to depend on.
You're curious: you spot problems before they're filed and push your own ideas until they ship.
Compensation
We post real numbers. For a Canada-based Staff Engineer, the starting base salary range is $299,300 to $372,600 CAD, plus a target annual bonus of 20 percent of base. That's total target cash of roughly $359,160 to $447,120 CAD. On top of that you get meaningful equity and an RRSP match. Where you start in that range depends on your experience, and your pay grows from there with performance and scope.
How We Build
AI is the default here. Engineers run agentic sessions for most of the work, and a lot of the interesting engineering now lives in the scaffolding that makes the agents good: the eval harnesses, the curated context, custom review skills and fast CI. Agents also triage incidents and handle a big share of support. A human always owns the outcome.
The architecture is intentionally simple: one Rails monolith, MySQL and few moving parts. That's deliberate. Simple infrastructure lets us move fast and lets AI reason about the whole system, so the hardest problems are the ones in front of customers.
The Stack
Core app:
Rails, Packwerk, React, TypeScript, Sidekiq
Mobile:
iOS (Swift), Android (Kotlin)
Data, search & events:
MySQL, Snowflake, dbt, Airflow, Weaviate, WarpStream, Hex, Sigma
Machine learning:
deep learning, matrix factorization, retrieval & ranking, AWS SageMaker, MLflow
AI & dev tooling:
Claude Code, Devin, Linear, CodeRabbit, Warden, LangChain, Bedrock AgentCore, Maxim
Infra & ops:
AWS, Kubernetes, Terraform, GitHub Actions, Datadog, incident.io, LaunchDarkly
Key integrations:
Shopify (payments), Iterable (CRM)
Why Babylist
An engineer, expecting her first baby, couldn't find the registry she wanted. So she built it. That's how Babylist started, and it's still how we work: engineers solving problems for families. Becoming a parent is one of the biggest moments in a person's life. Millions reach it for the first time every year, making thousands of decisions and figuring it out as they go. That's who we build for, and we're a long way from done.
Ten million people give gifts through Babylist every year. We did more than $750M in revenue in 2025, up 45 percent over the year before, and we've been profitable for eight years while staying independent. So you can take on a hard, multi-year problem without watching over your shoulder for the next round or the next correction. And the team is small, around 65 engineers, so what you ship stays visible and your scope stays wide.
How We Work
Remote-first across the US and Canada, and we have been for years. That's not changing. We trust you to own your time and your outcomes, and we get everyone in a room together twice a year. Teams are small, pods of three to five engineers, so nothing you ship disappears into a committee. You'll work shoulder to shoulder with product, design and data, and with the partners across the business who rely on what you ship. You'll also stay close to customers yourself: sitting in on user interviews, watching session recordings, riding along with support. Here that's part of the engineering job, on a regular basis.
How We Hire
Three rounds, usually two to three weeks start to finish.
Recruiter conversation (30 minutes).
Trade context: what you want next, what we're building and straight answers on comp, team and remote.
Technical screen (1 hour).
One round, no AI, language-agnostic. Reach for Google when you normally would. We just want to see how you reason from first principles.
Final round (4 hours).
Four one-hour interviews: system design, AI-assisted coding with the tools you'd actually use here, product sense and culture and values. You'll hear back either way within 24 to 48 hours.
If your timeline is tight, tell us and we'll move faster.
Benefits
Company-paid medical and fully covered dental and vision
A RRSP match
Generous paid parental leave for birthing and non-birthing parents, plus a gradual return-to-work program
Winter Wonder Week, a paid company-wide week off at the end of the year
A remote-work stipend
Mental-health and wellness support
A Few Things To Know
We record and transcribe interviews to evaluate candidates, in line with applicable privacy laws.
We expect you to use AI in your work and we welcome it in the process, but what you submit and say should reflect your own thinking.
If you have a family member or close relationship with a Babylist employee, let your recruiter know.
Official outreach only ever comes from an @babylist.com address
Location: London
DRW
is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.
DRW
is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
The Developer Experience team provides mission critical services to the wider software engineering community at DRW. This is a dynamic role that has a blend of responsibilities, encompassing end-to-end service ownership, development work through strategic projects, and dedicated support to our internal customers. Our support work offers ample opportunities to sharpen your troubleshooting skills but also allows you to collaborate with other engineering teams, informing us of our future project work and other improvements.
In this role, you will navigate novel build challenges, refine observability and alerting systems for firm-wide critical services, and build great developer workflows. Your efforts will not only advance our team's delivery capabilities but also enable all engineers at DRW to do their best work. Role requires to be in the London office 3 days per week.
What you will do:
Collaborate with leaders, trading teams, and developers to act as a force multiplier of the engineering population across the company.
Work within a US & UK based team with product and technical ownership of services provided by the Developer Experience team, encompassing source control, build artifact repositories, AI-powered development tools, and other tools related to software development and delivery.
Participate in a scheduled support rotation during UK business hours to help internal engineering teams get the most out of our developer platforms. This includes diagnosing complex CI workflows, managing central infrastructure in Kubernetes, and ensuring our tools are fully leveraged by internal developers.
Investigate and resolve intricate systems or build issues during support rotations, building valuable relationships with other DRW development teams.
Improve service reliability, performance, and observability of firm-wide critical infrastructure and tooling.
Work in a hybrid infrastructure environment, cloud and on-prem, using infra-as-code patterns to reliably manage and scale the services we own.
Educate users on our tools, conduct end-user demonstrations as needed, and maintain high quality self-service documentation.
About You:
In addition to having a strong technical background, the following attributes are essential:
You have strong relationship building and communication skills and the drive to positively influence all areas of the organization's software delivery life cycle (SDLC).
You have stellar written communication, ensuring your messages resonate widely.
You embrace pragmatism, balancing present needs with future optimizations, ensuring all solutions are sustainable for the long term.
You are a problem solver that is comfortable handling tasks ranging from troubleshooting low-level OS issues to architecting robust artifact storage solutions.
Continuous Integration and Delivery excite you, and you strive to avoid Continuous Irritation and Disappointment.
You are intrinsically motivated, curious, dedicated to learning, and possess a collaborative spirit.
Key Skills and Technologies:
Experience in debugging and triaging complex systems.
Experience using configuration management tooling, like Terraform to manage infrastructure in a repeatable manner.
Experience managing highly available Linux systems, both on-prem and in cloud environments.
Experience in supporting containerized applications using systems like Kubernetes, Docker, FluxCD or ArgoCD, and Helm.
Experience providing direct support to internal engineers and demonstrating customer empathy as part of a scheduled business hours-only rotation.
Experience developing and maintaining CI/CD pipelines.
3-5 years of development experience and proficiency in at least one high-level programming language, such as Go, Python, or Java.
What will make you stand out:
Demonstrated experience with building high-quality solutions and owning them throughout their entire Lifecyle.
A growth mindset and a bias for action.
You have previously built tools for measurably improving developer experience and productivity.
[#LI-SK1]
Задачи:
— разрабатывать и внедрять современные решения в области компьютерного зрения
Требования:
— опыт коммерческой разработки в области Computer Vision от 3 лет
— хорошее понимание классического машинного обучения, статистического анализа, классических алгоритмов Computer Vision
— практический опыт работы с нейросетевыми фреймворками PyTorch
— умение читать научные статьи, воспроизводить решения и адаптировать их под реальные задачи
— уверенное владение библиотеками NumPy, scikit-learn, Matplotlib, OpenCV
— уверенная работа с Linux (предпочтительно Ubuntu, Mint или Debian)
— опыт контейнеризации с использованием Docker и Docker Compose
— уверенное владение Git
— английский язык — Upper-Intermediate (B2) или выше (обязательно)
— наличие проектов, которые были самостоятельно доведены до production
Будет преимуществом:
— опыт разработки систем видеоаналитики и/или видеонаблюдения
— опыт оптимизации скорости инференса моделей с использованием ONNX Runtime и TensorRT
— практический опыт работы с Graph Neural Networks (GraphNN/GNN) и Metric Learning
— опыт работы с Kubernetes (K8s)
Мы ищем человека, который:
— любит решать сложные инженерные задачи
— следит за современными исследованиями в области AI и Computer Vision
— умеет самостоятельно принимать технические решения и доводить проекты до результата
— готов работать над задачами полного цикла — от исследования и прототипирования до внедрения в production
Задачи:
— Разработка и оптимизация высокопроизводительных C++ приложений для инфраструктуры трейдинга с низкой задержкой.
— Улучшение подключения к биржам.
— Работа с системами, где важна каждая микросекунда.
О проекте:
Клиент — proprietary trading компания, специализирующаяся на высокочастотной и алгоритмической торговле. Команда разрабатывает собственную инфраструктуру, рыночные подключения и количественные технологии для автоматизированной торговли.
Стек технологий:
C++17/20, REST, WebSockets, FIX, Python, Kafka, AWS, Kubernetes, Kibana, Grafana, Prometheus.
Локация:
Удалённая работа для кандидатов из Европы, Великобритании или Индии. Предпочтение кандидатам, готовым к переезду в Дубай (предоставляется полная поддержка релокации).
Работа с:
— высоконагруженными системами с низкой задержкой;
— подключением к биржам;
— производственной инфраструктурой трейдинга;
— оптимизацией задержек;
— взаимодействием с командами инженеров, трейдеров и аналитиков данных.
УдалённоПротиворечивые условия: C++ DEVELOPER | REMOTE EU/UK/INDIA OR RELOC TO UAE | TRADING #remote #relocation #fulltime #itjob #backend https://teletype.in/@courierus/iIPI-K74xN3; REMOTE FROM EUROPE / UK / INDIA OR RELOCATION TO DUBAI 🚀 C++ Developer We're looking for a C++ Developer to help build and optimize low-latency trading infrastructure; ⚙️ Stack: C++17/20, REST, WebSockets, FIX, Python, Kafka, AWS, Kubernetes, Kibana, Grafana, Prometheus 📍 Location: Remote candidates based in Europe, the UK, or India; Candidates willing to relocate to Dubai are highly preferred (full relocation support is provided) You'll be working on: • High-load, low-latency systems; • Exchange connectivity; • Production trading infrastructure; • Latency optimization; • Collaboration with engineering, trading, and data teams
Location: United States (Remote); Seattle, Washington; San Francisco, California; Portland, Oregon
Workplace: Remote
ROLE SUMMARY
Join our Technical Services team as a Senior Platform Architect and drive transformational outcomes with Temporal. You’ll be the accountable technical owner from purchase to stable production, turning complex challenges into scalable, repeatable solutions. Shape delivery patterns, operational standards, and enablement strategies that accelerate customer success and create lasting competitive advantage across teams and environments.
Location: Must reside in the Western Time Zone.
WHAT YOU'LL DO
Own Production Readiness and Activation
- Act as the single owner of customers' scale-proof production readiness
- Drive the first production workflow and reduce time-to-production
- Establish guardrails and best practices for reliability, failure handling, scaling, and upgrades
- Make developers Temporal SDK experts, make customer platform architects Temporal Server and SDK best practice experts
- Set up alerting to catch issues before customers do
- Work on your assigned customers' most difficult problems
- Identify and remove activation blockers early before they become escalations
- Optimize costs and performance with customers
Run the Customer's Technical Program
- Build and execute a KPI-driven success plan tied to production outcomes
- Define standards for patterns, training, governance, and operational readiness
- Lead cross-functional coordination of Professional Services, Support, Partners, and internal teams, leveraging project management to ensure on-time, high-quality delivery
- Proactively manage technical risk, migrations, and architectural debt
Ensure Long-Term Technical Health
- Set and validate reliability, observability, and operational standards
- Monitor health signals and intervene before the customer knows they're happening
- Lead technical reviews, readiness checkpoints, and maturity assessments
- Certify teams and workloads as production-ready
Drive Adoption Through Production Success
- Surface growth signals based on usage, maturity, and confidence
- Partner with customers, Growth AEs and Solution Architects to unlock new workloads
- Translate production success into clear technical narratives for renewal and growth
- Advocate for customer needs and real-world patterns internally
WHAT YOU'LL BRING
- 6+ years of professional software engineering or solutions engineering experience
- Strong understanding of distributed systems, workflow orchestration, and reliability engineering principles
- Proficiency in at least one modern programming language such as Go, Java, TypeScript, or Python
- Experience building, deploying, and operating production systems at scale
- Demonstrated ability to debug complex technical issues and guide customers through resolution
- Strong customer-facing skills with the ability to communicate technical concepts clearly to diverse audiences
- Experience creating technical documentation, runbooks, and training materials
- Self-motivated with the ability to work independently while collaborating across teams
- Willingness to travel occasionally for customer engagements and team events
NICE TO HAVE
- Prior experience with Temporal or similar workflow orchestration platforms
- Experience with observability tools and practices for distributed systems
- Background in professional services, technical consulting, or solutions engineering roles
- Experience with Kubernetes, cloud platforms, and infrastructure-as-code tools
- Contributions to open source projects or developer communities
- Experience designing and delivering technical training or workshops
Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity.
Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.
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