Location: United States, San Diego, CA
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
As a member of the Production Operations Engineering team within the platform technology group, you will help keep key user experiences on the platform available, resilient and high performing across time zones and critical business periods, while continually enabling our service teams to deliver new and exciting products and technical features. The team is trusted to respond when production services need support, including through rotational on-call, incident response and urgent operational escalations. You will be empowered to define and lead technical initiatives, helping identify and proactively drive improvements in process, technology and production operations supporting millions of users.
This Staff individual contributor role carries broad technical ownership: a recognized expert and hands-on system architect whose decisions shape reliable production services across multiple partner teams. The ideal candidate brings deep full-stack engineering and production experience, strong automation instincts, cloud/container operations expertise, incident leadership, and curiosity for using AI-assisted workflows to improve operational quality, release confidence and delivery speed.
Responsibilities:
Lead application operations and production support for internal and public-facing services in AWS and container environments, with focus on availability, resiliency, scalability, performance and security.
Define and evolve production operations architecture, readiness standards and reusable patterns for services/features, including automation, monitoring, runbooks, rollback plans and operational acceptance criteria.
Architect and scale tools, scripts and automation frameworks across API/service telemetry, release validation and operational readiness to reduce toil and improve incident response.
Establish CI/CD operational gates, production validation practices and governance mechanisms that improve release confidence, scalability and engineering velocity.
Advance observability, event correlation and operational metrics using service health signals, automation health, release risk indicators, dashboards and alerts that reduce MTTD and MTTR.
Partner with SRE, data services, CI/CD, service engineering, platform hosting, product and business teams to shift reliability left and improve shared ownership of production quality.
Lead performance, capacity, infrastructure modernization and cost optimization for services using AWS, Kubernetes, EKS/UKS, autoscaling and related cloud patterns.
Use AI-assisted and agentic tools, such as Codex, Claude, Cursor or similar, to accelerate development, operational automation and production-signal analysis.
Provide rotational on-call support and improve incident workflows using Slack, JIRA, ServiceNow, BigPanda and related escalation systems; lead RCA and systemic fixes for recurring production issues.
Key Qualifications:
Staff-level hands-on engineer equally comfortable with software development, systems engineering, production operations and service architecture.
System Architect and full-stack engineer who connects customer experience, application behavior, APIs, data flows, infrastructure and operational controls into resilient designs.
Proven ability to define operational standards, quality gates, reusable frameworks and governance practices across teams.
Independent technical leader who influences cross-functional partners, mentors engineers and drives adoption of scalable practices.
Strong systems-thinking and troubleshooting depth across runtime, cloud, Kubernetes/EKS/UKS, network, observability, release and incident layers.
Required Skills:
Distributed service architecture and operations, Unix/Linux systems internals, networking, TCP/IP, HTTP/HTTPS, DNS, load balancing and API troubleshooting.
AWS service operations, including ALB, Route 53, API Gateway, Lambda, RDS, DynamoDB, ElastiCache and Java/API services.
Containers and orchestration, including Docker, Kubernetes, EKS/UKS and Fargate.
Automation and software development in Python, Go or Java; source control and configuration management using GitHub/Git, Ansible, Chef or similar.
Infrastructure as Code and CI/CD using Terraform, CloudFormation, Jenkins, Spinnaker or comparable tooling.
Observability, incident management and collaboration tooling such as Datadog, CloudWatch, Splunk, Grafana, BigPanda, Slack, JIRA and ServiceNow.
Strong communication skills with the ability to adjust messaging by audience, translate complex technical issues for cross-functional business partners, and articulate both technical detail and customer/business impact.
Data reporting, analytics or operational data platforms such as SQL, MySQL, Oracle, Snowflake or big data systems.
AI-assisted development or agentic engineering workflow experience using tools such as Codex, Claude, Cursor or similar.
Experience:
BS degree or equivalent in Computer Science, Software Engineering or related technical area.
10+ years operating and supporting services in production environments at scale.
5+ years AWS Cloud experience deploying, tuning and operating Java/API services.
Hands-on incident management experience, including on-call, incident coordination, stakeholder communications, RCA and corrective-action tracking.
Payment processing, commerce, entitlement, wallet, fraud or financial systems experience is a plus.
At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role
is eligible
for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products.
This role also may be eligible for a bonus package.
Click
here
to learn more.
The estimated base pay range for this role is listed below.
$199,400
—
$299,200 USD
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
United States, San Diego, CA; As a member of the Production Operations Engineering team within the platform technology group, you will help keep key user experiences on the platform available, resilient and high performing across time zones and critical business periods, while continually enabling our service teams to deliver new and exciting products and technical features
Location: Los Angeles, USA
ML engineers at Riot own the full lifecycle of machine learning in production — from problem framing through model design, deployment, and operation — building systems that serve players at global scale. They work across disciplines with engineers, data scientists, designers, and product teams to turn ML capabilities into player-facing experiences and tools for making great games.
The Role
As a
Principal AI/ML Platform Engineer for League of Legends
, you will set ML platform and integration strategy that enables League teams to build, launch, and operate player and developer facing ML experiences. You will build the systems, tooling, and operational standards that enable teams to deploy and operate ML at global scale. Your technical direction will influence product strategy and your work will directly shape how League of Legends evolves player-facing experiences. Your work will span year-plus efforts on League, mentoring and coaching across disciplines. You will report to the Senior ML Engineering Manager within the League of Legends game team.
This role is based out of our Los Angeles area headquarters.
Responsibilities:
Lead AI/ML workflow and MLOps for League of Legends; build automation standards including auto-remediation and self-healing pipelines; drive implementation.
Create AI/ML serving architecture that scales to production load for Riot’s player base; design systems requiring minimal operational intervention; drive implementation of proven serving architectures.
Build ML feature platforms to scale feature development and processing; solve scale, latency, or reliability constraints in ML data pipelines.
Lead AI/ML developer experience that accelerates development; remove workflow bottlenecks and enable new capabilities.
Lead AI/ML governance in partnership with compliance experts to ensure regulatory adherence; drive implementation of proven frameworks.
Ensure AI/ML platform security in partnership with security teams; drive implementation of proven privacy, security, and cryptography techniques for AI/ML.
Create AI/ML pipeline development and deployment standards, coordinating with data engineering on shared MLOps capabilities.
Craft AI/ML service development and API standards across product integrations.
Drive operational excellence and cost optimization for AI/ML systems across the organization.
Run incident management and set response standards for AI/ML systems across production services.
Build observability and monitoring standards for AI/ML systems across services.
Create tooling strategy and evaluation for AI/ML platforms across the organization.
Drive mentorship of senior engineers across multiple products or problem areas; coach developers across disciplines.
Drive recruiting standards across multiple products or problem areas; contribute to interview kits and TA efforts.
Qualifications:
Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
10+ years of professional software engineering experience, including 5+ years building production ML platforms, systems, or MLOps capabilities.
Evidence that platforms or systems you’ve led have become load-bearing for multiple teams or products — adopted, depended on, and evolved beyond the original scope.
Deep operational intuition for ML systems at scale: you’ve lived through the failure modes (training-serving skew, silent degradation, cost spirals) and built the systems to prevent them.
Background in cloud-native orchestration and large-scale system design (Kubernetes, GPU scheduling, container orchestration) applied at global scale.
History of improving developer experience for ML practitioners in ways that measurably changed how fast or reliably they shipped.
Track record mentoring senior and staff-level engineers; evidence of elevating platform engineering judgment across an organization.
Experience building ML platforms that serve multiple products or game titles simultaneously is a plus.
Track record solving novel scale, latency, or reliability constraints in ML data pipelines is a plus.
Background in ML governance, security, privacy-preserving techniques, or compliance at organizational scale is a plus.
Passion for player experience, games, or creative technology.
For this role, you will find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role!
Our Perks:
Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our
benefits pages
for more information.
At Riot Games, we
put players first
. That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.
It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.
Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:
Safeguarding confidential and sensitive Company data
Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
Accessing Company assets, secure digital systems, and networks
Ensuring a safe interactive environment for players and other Rioters
These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.
(Los Angeles Only) Base salary range between $292,300.00 - $437,900.00 USD + incentive compensation + equity + 401K with company match + medical, dental, vision, and life insurance + short and long-term disability + open PTO.
Location: Tel Aviv
Who are we?
Tripledot
Studios
is one of the largest independent mobile games companies in the world.
We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios.
Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users.
Tripledot’s guiding principle is that when people love what they do, what they do will be loved by others.
We’re building a company we’re proud of. One filled with driven, incredibly smart and detail-orientated people, who
LOVE
making games.
Our ambition is to be the most successful games company in the world, and we’re just getting started.
The role is working within our studio: Supersonic
Supersonic is one of the world's leading mobile game publishers, working with independent studios everywhere to turn promising ideas into games played by millions. Based in Tel Aviv and founded in 2020, the team has published more than 150 titles across the hybrid casual and casual space, backed by deep expertise in game analysis, monetisation and user acquisition. In August 2026 Supersonic joined Tripledot Studios.
Role Overview
We are looking for a seasoned, hands-on Head of Engineering to drive technical excellence and lead Supersonic’s core development teams at scale. Acting as both a technical authority and people leader, you will manage multidisciplinary teams responsible for publishing SDKs, advanced level-generation tools, client-facing cloud integrations and multiple games.
You will oversee engineering execution and workflows across a diverse portfolio, including three core SDKs, two backend systems and multiple in-house games, while continually improving production pipelines. This is a highly strategic role requiring deep expertise in Unity performance, tooling and cross-team communication to ensure our portfolio can scale seamlessly for millions of daily active users.
This role will suit a hands-on, action-oriented leader who communicates clearly, stays open-minded and can move comfortably between code, architecture, people leadership, product priorities and business needs. The position is based in Tel Aviv, with four days per week in the office and Sunday working from home.
Key Responsibilities
Manage, mentor and develop three multidisciplinary teams comprising developers, QA engineers, technical artists and game designers.
Own technical direction, architecture, maintenance and execution across three core SDKs, two backend systems and multiple in-house games.
Remain hands-on with Unity development, acting as the technical authority for complex problem-solving, architecture and code where needed.
Take ownership of product needs as well as technical delivery, translating priorities from engineering, product and monetization stakeholders into clear, actionable roadmaps.
Drive the architecture and development of internal tooling, including custom Unity Editor scripts and algorithmic or procedural level-generation systems that empower game designers across projects.
Define, implement and continually improve engineering workflows, automation and CI/CD pipelines to enable rapid, stable game builds across the portfolio.
Oversee cloud and backend integrations that power critical, data-driven client features, bridging technical work across client, infrastructure and server-side teams.
Lead Unity performance and optimization strategies across mobile devices, including memory management, CPU/GPU profiling, load times and frame rates.
Support scalable LiveOps and data-driven feature deployment, including remote configuration and A/B testing, while serving as the central technical leader across engineering, product and monetization teams.
Required Skills, Knowledge and Expertise
10+ years of professional software-development experience, with a dominant focus on Unity, C# and mobile game production.
Expert-level knowledge of Unity, including custom Editor scripting, AssetBundles or Addressables, and extending the Unity pipeline.
A strong track record of managing, mentoring and scaling multidisciplinary engineering teams in a fast-paced, agile environment.
Strong experience developing clean, modular and reusable SDKs or packages used across multiple projects or a broad game portfolio.
Deep mobile LiveOps experience, including remote configuration, A/B testing frameworks and data-driven feature deployment; experience in hyper-casual or hybrid-casual development is valuable.
Hands-on experience building complex content tools, including level-generation or algorithmic layout systems.
Experience integrating cloud services or proprietary game servers to support live client features; familiarity with platforms such as Firebase, AWS or GCP is valuable.
Experience configuring and overseeing CI/CD pipelines for mobile game development using tools such as Jenkins, GitHub Actions or Unity Build Automation.
Advanced Unity profiling and mobile optimization skills, including experience with Unity Profiler, Memory Profiler and Frame Debugger across low- and high-end devices.
Exceptional communication skills, with the ability to manage stakeholder expectations and lead effective cross-team workflows in English.
Location: Remote - Europe
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
This position sits within Nebius Token Factory, our serverless platform for running and customizing open-source LLMs in production. Token Factory allows for serverless inference and fine-tuning backed by in-house optimizations like custom speculative decoding, quantization, cache-aware routing and dedicated endpoints. Customers come to us to move from prototype to scaled production without the cost and complexity of building and tuning their own inference stack.
Our Solutions Architects own the
technical delivery
of customer engagements: deploying open-source models, tuning the serving stack, benchmarking against the customer's success criteria, and carrying the technical relationship through to production. Sales Engineers qualify and scope the opportunity; SAs execute it. Technical Account Managers take it from production onward.
We're looking for a
Manager, ML Solutions Architecture
to lead our EU regional SA teams. Your scope is
PoC delivery and post-sales technical support
: the people who do it, the standard they do it to, and the operating cadence that keeps it predictable. You will report to the Head of Solutions Architecture and partner with a peer manager in the other region.
We expect you to push people when they need pushing, make the uncomfortable call when deliverables don't land even though the effort was real, and take ownership of the documentation work: implement and monitor the following of the guidelines, ticket hygiene, and making sure the team actually uses all three.
You're welcome to work remotely from
any EU country.
Your responsibilities will include:
Lead the team
Manage a team of 8 Solutions Architects, with continued growth planned: 1:1s, goal setting, performance reviews, promotion cases, and individual growth plans
Build an accurate picture of each SA's strengths, gaps, and preferences, and allocate accounts and engagements against both expertise and interest
Run the cadence that surfaces blockers early, then take them to the development, product, and business teams that can clear them, and stay on them until they do
Hold people to outcomes: distinguish effort from delivered results, say so plainly when the two diverge, and reflect it in ratings and compensation decisions
Onboard new joiners through to their first independently delivered engagement
Coach SAs into stronger engineers and stronger communicators, and make deliberate calls about who is ready for more scope
Own delivery
Be accountable for your team's delivery outcomes: time from PoC kick-off to first optimized dedicated endpoint, success-criteria hit rate, and the quality of the technical relationship after the customer goes to production
Review technical work before it reaches the customer: benchmarking methodology, serving configurations, results, closure documents; catch the wrong conclusion drawn from a metrics artifact before a customer sees it
Ensure staffing and escalation coverage across accounts and timezones, including post-sales request load that does not respect sprint boundaries
Call infeasibility early and with evidence, rather than letting the team burn iterations against requirements the platform cannot meet today
Own the operating system of the team
Maintain and extend the team's documentation: responsibilities, runbooks, guides, onboarding, definitions of done, engagement closure templates. Keep it accurate and reachable; link, don't copy
Get it
used
, not just written: documentation nobody reads is a cost, not an asset
Keep the ticket tracker the system of record, so PoC and production status is readable without asking anyone
Instrument the work: define and report the metrics that show whether delivery is getting faster and more reliable over time
Work across teams
Development and research teams: convert recurring customer pain into prioritized platform work, and represent the customer's technical reality in roadmap discussions
Pre-sales: hold the scoping-to-execution boundary: push back on under-scoped engagements, and feed feasibility signal back upstream
Account management: make production handoffs uneventful, and keep post-sales technical requests moving
Business and leadership: give a straight read on account health, technical feasibility, and capacity needs
We expect you to have:
3+ years managing technical teams, including performance management and difficult conversations
Experience managing a customer-facing team.
Running a team whose work is visible to customers, on customer timelines, with customer escalations.
Strong ML knowledge:
LLM architectures, fine-tuning approaches (SFT/LoRA, RL-based), evaluation design, and a working command of inference internals — quantization, KV-cache management, batching, routing, speculative decoding — and of the frameworks the team works in (vLLM, SGLang, TensorRT-LLM)
Enough technical judgment to review someone else's benchmark and find the flaw in the methodology, not just in the conclusion
Python strong enough to read and review your team's code
Excellent communication skills, with the ability to clearly explain technical concepts to diverse audiences, from engineers to executives, including in front of enterprise customers under pressure
Genuine tolerance for operational work: documentation, process design, reporting, and the follow-through that makes them stick
Comfort operating with ambiguity across distributed teams and timezones, and a bias toward writing things down
It would be an added bonus if you have:
References from both former managers and former direct reports
Experience scaling a team through rapid growth (5 → 15+) without losing delivery quality
Prior experience in a customer-facing technical function at a cloud, inference, or AI infrastructure provider
Experience defining process and documentation for a team that had none
Hands-on background running LLMs in production and debugging inference workloads at the framework level
Work with multimodal AI models (vision-language, speech)
Proficiency with DevOps tooling (Docker, Kubernetes) and infrastructure-as-code
Preferred technical stack:
Programming languages:
Python
ML frameworks and libraries:
vLLM, TensorRT-LLM, SGLang, Transformers, OpenAI/Anthropic SDKs
MLOps and DevOps tools:
Kubernetes (K8s), Docker, Git
Cloud platforms:
AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML)
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: Remote - United States
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
This position sits within Nebius Token Factory, our serverless platform for running and customizing open-source LLMs in production. Token Factory allows for serverless inference and fine-tuning backed by in-house optimizations like custom speculative decoding, quantization, cache-aware routing and dedicated endpoints. Customers come to us to move from prototype to scaled production without the cost and complexity of building and tuning their own inference stack.
Our Solutions Architects own the
technical delivery
of customer engagements: deploying open-source models, tuning the serving stack, benchmarking against the customer's success criteria, and carrying the technical relationship through to production. Sales Engineers qualify and scope the opportunity; SAs execute it. Technical Account Managers take it from production onward.
We're looking for a
Manager, ML Solutions Architecture
to lead our US regional
SA
teams. Your scope is
PoC delivery and post-sales technical support
: the people who do it, the standard they do it to, and the operating cadence that keeps it predictable. You will report to the Head of Solutions Architecture and partner with a peer manager in the other region.
We expect you to push people when they need pushing, make the uncomfortable call when deliverables don't land even though the effort was real, and take ownership of the documentation work: implement and monitor the following of the guidelines, ticket hygiene, and making sure the team actually uses all three.
You're welcome to work remotely from
the United States.
Your responsibilities will include:
Lead the team
Manage a team of 4 Solutions Architects, with continued growth planned: 1:1s, goal setting, performance reviews, promotion cases, and individual growth plans
Build an accurate picture of each
SA
's strengths, gaps, and preferences, and allocate accounts and engagements against both expertise and interest
Run the cadence that surfaces blockers early, then take them to the development, product, and business teams that can clear them, and stay on them until they do
Hold people to outcomes: distinguish effort from delivered results, say so plainly when the two diverge, and reflect it in ratings and compensation decisions
Onboard new joiners through to their first independently delivered engagement
Coach SAs into stronger engineers and stronger communicators, and make deliberate calls about who is ready for more scope
Own delivery
Be accountable for your team's delivery outcomes: time from PoC kick-off to first optimized dedicated endpoint, success-criteria hit rate, and the quality of the technical relationship after the customer goes to production
Review technical work before it reaches the customer: benchmarking methodology, serving configurations, results, closure documents; catch the wrong conclusion drawn from a metrics artifact before a customer sees it
Ensure staffing and escalation coverage across accounts and timezones, including post-sales request load that does not respect sprint boundaries
Call infeasibility early and with evidence, rather than letting the team burn iterations against requirements the platform cannot meet today
Own the operating system of the team
Maintain and extend the team's documentation: responsibilities, runbooks, guides, onboarding, definitions of done, engagement closure templates. Keep it accurate and reachable; link, don't copy
Get it
used
, not just written: documentation nobody reads is a cost, not an asset
Keep the ticket tracker the system of record, so PoC and production status is readable without asking anyone
Instrument the work: define and report the metrics that show whether delivery is getting faster and more reliable over time
Work across teams
Development and research teams: convert recurring customer pain into prioritized platform work, and represent the customer's technical reality in roadmap discussions
Pre-sales: hold the scoping-to-execution boundary: push back on under-scoped engagements, and feed feasibility signal back upstream
Account management: make production handoffs uneventful, and keep post-sales technical requests moving
Business and leadership: give a straight read on account health, technical feasibility, and capacity needs
We expect you to have:
3+ years managing technical teams, including performance management and difficult conversations
Experience managing a customer-facing team.
Running a team whose work is visible to customers, on customer timelines, with customer escalations.
Strong ML knowledge:
LLM architectures, fine-tuning approaches (
SFT
/
LoRA
,
RL
-based), evaluation design, and a working command of inference internals — quantization,
KV
-cache management, batching, routing, speculative decoding — and of the frameworks the team works in (vLLM, SGLang, TensorRT-LLM)
Enough technical judgment to review someone else's benchmark and find the flaw in the methodology, not just in the conclusion
Python strong enough to read and review your team's code
Excellent communication skills, with the ability to clearly explain technical concepts to diverse audiences, from engineers to executives, including in front of enterprise customers under pressure
Genuine tolerance for operational work: documentation, process design, reporting, and the follow-through that makes them stick
Comfort operating with ambiguity across distributed teams and timezones, and a bias toward writing things down
It would be an added bonus if you have:
References from both former managers and former direct reports
Experience scaling a team through rapid growth (5 → 15+) without losing delivery quality
Prior experience in a customer-facing technical function at a cloud, inference, or AI infrastructure provider
Experience defining process and documentation for a team that had none
Hands-on background running LLMs in production and debugging inference workloads at the framework level
Work with multimodal AI models (vision-language, speech)
Proficiency with DevOps tooling (Docker, Kubernetes) and infrastructure-as-code
Preferred technical stack:
Programming languages:
Python
ML frameworks and libraries:
vLLM, TensorRT-LLM, SGLang, Transformers, OpenAI/Anthropic SDKs
MLOps and DevOps tools:
Kubernetes (K8s), Docker, Git
Cloud platforms:
AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML)
Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
Base Compensation Range
$228,000
—
$285,000 USD
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: Perm; Kuala Lumpur; Baku; Vladivostok
Workplace: onsite
ABOUT YOU
We are looking for an Intermediate / Senior Frontend Developer to join a team responsible for building the platform powering all user-facing experiences. This role offers a unique opportunity to collaborate with both local and international teams, focusing on user-centric software that elevates the digital experience for Xsolla’s global audience. In this role you will have the opportunity to contribute in building high-performance frontend solutions used by game developers worldwide. This position requires strong frontend and platform-level experience, the ability to work on complex technical initiatives, and the capability to support predictable, reliable delivery.
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.
Responsibilities:
Build and evolve scalable, high-performance web applications using React and
Node.js
Collaborate with product managers, designers, and backend engineers to translate complex requirements into intuitive user experiences.
Participate in code reviews, share best practices, and help maintain high engineering standards within the frontend team. Work closely with DevOps to streamline CI/CD pipelines, improve deployment reliability, and enhance observability through metrics and monitoring tools.
Own features end-to-end — requirement refinement, implementation, testing, and delivery. Optimize frontend performance, focusing on loading times, rendering speed, and bundle efficiency.
Ensure cross-browser and multi-device compatibility while meeting accessibility (a11y) and usability standards.
Contribute to modernization, refactoring, and performance enhancements to keep the platform scalable, maintainable, and aligned with product goals.
Contribute and enforce engineering best practices across coding, documentation, testing, and review processes.
Ensure strong automated test coverage and reliable CI/CD workflows that reduce manual effort and improve delivery predictability.
Own operational excellence, including incident response, root-cause analysis, and long-term reliability improvements.
Advocate for scalability, performance, security, and observability across the platform’s architecture and tooling.
Identify technical risks, estimate complexity, and communicate trade-offs to leadership and stakeholders.
Qualifications & Skills:
4+ years of software development experience with strong expertise in modern frontend engineering at scale.
Deep hands-on knowledge of React including component architecture, SSR patterns, RSC, and complex UI data flows. Proficiency with
Node.js
and MongoDB for server-side functionality.
Strong understanding of modern styling systems and theming approaches (vanilla-extract, styled-components, design tokens).
Solid TypeScript practices, including strict typing, shared contracts, and schema validation (Zod or equivalent).
Experience with Module Federation.
Good understanding of bundling and compilation, experience with webpack/rollup/vite/esbuild
Experience with automated testing frameworks (Vitest/Jest) and end-to-end testing (Playwright/Cypress).
Good understanding of backend integration patterns (REST, GraphQL, RPC-style APIs).
Experience with CI/CD workflows (GitLab CI or similar), private registries, and secure artifact handling.
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Nice to Have:
Experience building platforms or tooling used across multiple frontend teams (design systems, template engines, configuration frameworks).
Experience with react-native/mobile experience.
Knowledge of performance optimization strategies for client-side and server-side rendering.
Understanding of accessibility, internationalization, and semantic UI design best practices.
Experience developing SDKs, CLI tools, or developer-facing automation.
Familiarity with event-driven UI flows, real-time interfaces, or edge-rendering strategies.
Background improving developer platforms, observability stacks, or performance monitoring systems.
Comfort with UI-as-data approaches and leveraging AI-assisted/no-code tooling to accelerate feature delivery.
The duties and responsibilities of this position may evolve over time to support the organization's goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy.
For any inquiries related to data privacy, please contact: careers@xsolla.com
Explore more opportunities at: https://xsolla.com/careers
Location: Helsinki; Paris
Workplace: Hybrid
ABOUT VOODOO
Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz.
TEAM
The Engineering & Data team builds innovative tech products and platforms to support the impressive growth of their gaming and consumer apps which allow Voodoo to stay at the forefront of the mobile gaming industry.
The Voodoo Ad-Network is an autonomous product group of around 60 highly driven professionals with an ambitious mission: building top-tier ad network services. Our primary goal is to leverage Voodoo's massive first-party data ecosystem to optimize and scale monetization. We are in a rapid growth phase, expanding into new ventures such as opening to external inventory, penetrating the external advertiser market, and driving social network monetization following our recent acquisition of BeReal. To support this incredible trajectory and promising early results, we are scaling our team.
The Models team is a core element of the targeting performance. It leverages machine learning and a strong business understanding to directly impact the product's financial performance. It's composed of mostly senior Data Analysts, Analytics Engineers, Data Engineers and Data Scientists/ML Engineers that iterate together on finding and building the next performing iteration.
This role can be either Paris or Helsinki based and done in a hybrid setup.
ROLE
We're looking for a Senior ML Engineer to join our Models team. You will be joining a dedicated squad of Data Engineers, Data Scientists, and ML Engineers focused on building and maintaining the ML training infrastructure that powers our ad-targeting models from data preprocessing through model deployment to production monitoring.
In this role, you will be leading the following topics:
- Architectural Ownership: Take end-to-end ownership of highly visible projects from ideation to production release. This includes feature scoping, timeline estimation, architecture design, and benchmarking new technologies.
- Pipeline Engineering: Build and maintain quality data and ML pipelines to align with ever-evolving business and machine learning needs. Optimize training pipelines for performance, memory efficiency, and cost (e.g. spot instance strategies, efficient data loading, preprocessed artifact reuse).
- Data Scientists Enablement: Enable Data Scientists to iterate faster by providing reusable, well-tested pipeline components (transformers, dataloaders, training utilities) and reviewing their contributions to shared code. Extend dataset capabilities: integrating new data sources, scaling feature windows, and increasing training data volumes without breaking pipeline constraints.
- Deep Learning Development: Contribute to deep learning development: GPU workload orchestration, custom PyTorch training loops, and model architecture support.
- ML Lifecycle & Reproducibility: Maintain reproducibility and consistency across the ML lifecycle: versioned configs, experiment tracking, and online-offline consistency tooling.
- Scalability & Reliability: Collaborate with infrastructure teams on scalability — node pools, resource monitoring, CI/CD migrations. Participate in weekly rotation to triage and resolve alerts from Airflow, dbt, and related systems.
- Agile Collaboration: Thrive in a fast-paced agile environment with rapid decision-making processes. You will collaborate daily with back-end developers, data scientists, infrastructure engineers, and product managers.
- Mentorship & Team Culture: You will actively contribute to our engineering culture, share knowledge, and ensure every team member feels comfortable, supported, and empowered to grow in their role.
PROFILE
We are looking for a Senior ML Engineer who deeply understands both the ML training lifecycle and the specific challenges of putting machine learning models into production at scale.
- 5+ years minimum of experience as an ML Engineer or a similar role
- End-to-End ML Ownership: Problem framing, baselines, experimentation, deployment, and iteration
- Python Proficiency: Extensive knowledge for ML pipeline code: preprocessing, training/evaluation workflows, experiment utilities, and reproducible configs
- Training Mechanics: Comfortable implementing training mechanics where needed (custom steps/metrics, dataloading patterns, performance-conscious preprocessing), not only notebook-level prototyping
- ML Frameworks: Practical experience training and evaluating models with scikit-learn, LightGBM, PyTorch for deep learning
- Performance Optimization: Experience optimizing memory usage during data preprocessing and model training
- Experiment Management: Hyperparameter tuning, experiment tracking, and reproducible training (configs, seeds, versioning)
- Cloud & Infrastructure: Experience with Amazon Web Services. Familiarity with scalability, reliability, and security topics
- ML Production Awareness: Understanding of the challenges involved in running ML models in production (familiar with topics such as feature store, training-serving skew, etc.)
- Model Serving: Experience with model serving infrastructure (real-time or batch inference, latency/throughput optimization) is a plus
- Excellent communication skills in English
OUR STACK
Python · Scikit-learn · LightGBM · PyTorch · DBT · Spark · MLflow · Prometheus · Terraform · Airflow · Kubernetes · Amazon Web Services
BENEFITS
- Excellent benefits that will depend on the country you're based in
Location: Limassol, Cyprus
Workplace: on-site
Mayflower is a technology company that alters the entertainment industry to a new level of perception and engagement.
We are building the future of live entertainment. We believe that by providing people with the best and highest-quality live streaming experience in entertainment, we can tackle the world’s “problems” better, together!
We are seeking an experienced Python Developer (ML) to join our dynamic team ML team.
Our technology stack:
Languages: Python;
Monitoring: Prometheus, VictoriaMetrics, Grafana, Grafana Loki, Sentry;
DBs: MariaDB, Clickhouse, Redis;
Streaming: Apache Kafka;
Workflow management: Apache Airflow, Argo Workflow;
Infrastructure: k8s, gitlab.
Job Responsibilities
Design and build production-grade Python services for running and maintaining ML applications for different domains: RecSys, CV, Classic ML, NLP.
Develop and maintain data pipelines for training, validation, batch inference workflows
Build internal tools and reusable modules for the ML team
Implement monitoring and observability for ML services using metrics, logs, and dashboards.
Contribute to continuous integration and delivery pipelines (testing, packaging, and automation).
Develop visualization and debugging tools for model outputs — including active learning and content analysis interfaces.
Ensure that all components are reliable, testable, and easy to maintain.
You’ll thrive here if you have
3+ years of experience as a Python Developer, Backend Engineer, or Data Engineer.
Strong Python skills (asyncio, FastAPI, pydantic, typing, modular architecture).
Proven experience designing and deploying production systems with Docker, Kubernetes and CI/CD.
Familiarity with ML workflows (you don’t need to train models yourself, but you understand how they’re served, retrained, and monitored).
Experience building data pipelines and integrating with various data sources.
Knowledge of metrics, logging, and observability best practices (Grafana, Prometheus, Loki, etc.).
Strong understanding of testing, clean code, and maintainable software design.
Qualification that can be a plus:
Experience working with machine learning teams or MLOps pipelines.
Experience with distributed systems or high-load backend services.
Conditions
We know that great talent deserves great conditions, so here's what you can expect when joining us:
EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family.
Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free.
Transparent performance reviews twice a year, with bonus opportunities and salary adjustments.
Private medical insurance for you and your family, a corporate mobile plan (unlimited in Cyprus with roaming included), and interest-free support for car purchases.
Provident fund (Cypus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus.
Mindfulness & well-being support, including psychological assistance with 50% coverage.
50% coverage of school and kindergarten fees for your children.
Fully covered sports benefits, and also access to in-house electric scooters and bike rentals, and cycling purchase compensation.
Investment in your growth: paid language courses and access to suited-for-you development programs, including conferences, training programs, and coaching to support your professional journey.
A culture of recognition: a peer reward program to celebrate your contributions.
A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration.
Free catering in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks.
A strong engineering culture: international teams, corporate events, team buildings, and hackathons—because great work happens in great communities.
Recruitment process
HR Interview (40 min);
Technical Interview + Live Coding (1.5 hour);
Final Interview (1 hour).
Location: Ontario, CAN
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry’s largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators.
The team has a dual mandate:
maximizing compute efficiency
to reliably serve our explosive customer growth, while
enabling breakthrough research
by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.
Inference systems are highly performance sensitive distributed systems. Inference serves hundreds of thousands of customers every day, and the size & span of the inference fleet requires sophisticated routing, scaling, and networking systems.
Key responsibilities
Design, build, and maintain the distributed systems that serve Claude to millions of users worldwide
Develop resilient, flexible systems that adapt in real time to real world events
Develop intelligent request routing, load balancing, and traffic management systems across thousands of accelerators
Maximize compute efficiency across the fleet by autoscaling and orchestrating production, research, and experimental workloads
Build and operate production-grade deployment pipelines for releasing new models to users
Provide high-performance inference infrastructure that enables researchers to develop next-generation models
Integrate new AI accelerator platforms and support inference for new model architectures
Minimum qualifications
Significant software engineering experience, particularly with distributed systems
Results-oriented, with a bias towards flexibility and impact
Willingness to pick up slack, even if it goes outside your job description
Desire to learn more about machine learning systems and infrastructure
Thrive in environments where technical excellence directly drives both business results and research breakthroughs
Care about the societal impacts of your work
Preferred qualifications
Experience with high-performance, large-scale distributed systems
Experience implementing and deploying machine learning systems at scale
Experience with load balancing, request routing, or traffic management systems
Familiarity with LLM inference optimization, batching, and caching strategies
Experience with Kubernetes and cloud infrastructure (AWS, GCP, Azure)
Proficiency in Python or Rust
Representative projects
Designing intelligent routing algorithms that optimize request distribution across many accelerators in different environments
Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads
Building production-grade deployment pipelines for releasing new models to millions of users reliably
Contributing to new inference features
Supporting inference for new model architectures
Analyzing observability data to tune performance based on real-world production workloads
Managing multi-region deployments and geographic routing for global customers
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Canada
What the Role Is
The modern tech stack has collapsed the distance between designing an experience and shipping it. We're hiring Senior Product Designers to build the next generation of Babylist by leveraging this reality.
The
Senior Product Designer
is the primary owner for user experience, delight, and interaction quality on the team. Equal parts skilled designer, hands-on researcher, and AI-enabled builder, you own how things feel, think broadly about user flows across the full Babylist experience, and hold the bar for whether something is intuitive, beautiful, and emotionally right for the user. You work alongside product managers, engineers, and data partners, but you are the one driving the experience layer and making sure every interaction meets both the functional and emotional needs of our users to drive impactful outcomes for the business.
You flex beyond the basics by running research, standing up working prototypes (in hours not days), and contributing to production-quality front-end code ensuring polish is never a trade-off. You help Babylist make the transition into AI-native product development by modeling what an AI-native designer does every day.
In this role, you shape how parents discover products, receive gifts, and navigate early parenthood across web and native mobile. These are not casual interactions. Families are making decisions during one of the most meaningful and overwhelming transitions of their lives. The experience has to be easy to use, easy to understand, and worthy of the trust they place in us.
Who You Are
Craft and experience obsessed
. You care deeply about how things feel, not just how they function — the transitions, motion, and details most people can't articulate but everyone responds to. You have a portfolio of shipped consumer product work across web and native mobile that proves it.
A systems thinker.
You see how a single interaction fits into a broader flow, how flows connect across products, and how the design system enables all of it. You design for coherence, not just screens.
Industry aware and pattern fluent.
You know the interaction patterns and design conventions that have become table stakes — and when to apply them versus evolve them for what Babylist families actually need.
Human-and-data-centered.
You plan and run generative and evaluative research yourself, bring concrete qualitative and quantitative evidence into design decisions, and communicate design rationale clearly and persuasively.
Product savvy
. You know what's worth building, what UX is right for a given context, and what will resonate with users in ways that support the business's goals — making engineers and PMs faster by reducing ambiguity and tightening scope.
Critical thinker.
You question assumptions and stress-test ideas before committing to them, distinguishing between what the data says and what people want it to say. You approach problems with creativity and multi-dimensional thinking.
Feedback fan.
You build feedback loops into your process from the start — putting prototypes in front of users early, sharing in-progress work before it's polished, and actively soliciting critique that makes it better.
AI-native and a real builder.
You move from a rough concept to an interactive prototype in hours, not weeks, and write production frontend code yourself rather than depending on an engineer to translate your mock. You have a portfolio of work built this way.
Outcome owner
. You instrument your own work, track whether it's moving the right metrics, and make clean iterate/pivot/stop calls based on evidence, not attachment.
Adaptable and low ego
. You jump in where needed across team boundaries without waiting for permission, and you bring curiosity to ambiguity rather than anxiety.
You naturally reach for AI in your work.
At Babylist, every team uses AI daily. You're already using it to move faster and improve your output, and you stay curious about what's coming next.
How You Will Make An Impact
Own the experience layer across a customer journey or product surface end-to-end
. Think holistically about user flows, brand expression, information architecture, and interaction patterns across the full Babylist product ecosystem - both web and native app - working with other designers and teams as needed.
Design and build experiences that drive outcomes
. That means using sound judgement to create experiences that solve real problems, are intuitive under stress, simple when decisions are complex, and delightful when the moment calls for it.
Define excellence.
Set the bar for quality, delight, and product excellence by demonstrating and teaching your team what great looks and feels like. Eschew perfection for learning that propels the product toward your high bar.
Stay deeply connected to users
. Talk to customers. Plan and execute research to ground design decisions in how families actually behave. Create fast feedback loops through user testing, Babylist communities, and other channels. Your design decisions are grounded in reality, not assumption.
Contribute to and evolve Babylist's design system
. Build reusable components, define interaction patterns, and ensure consistency across web and native mobile.
Operate with agency.
Don't wait for permission — create the conditions for your success and bias toward action, starting before you have the full picture and learning as you go. Let challenges energize you to think creatively and try new things.
Build with AI-native workflows
. Research synthesis, rapid prototyping, production code, design system evolution, interaction exploration. Show your team what's possible by doing it yourself leveraging AI - then share and teach what’s working.
Write production frontend code
. Work in the codebase to implement, refine, and polish the experiences you design. Close the gap between what a design looks like in Figma and what a user actually touches - finding and fixing rough edges without being asked. The transitions, the micro-interactions, the loading states, the empty states, the error states, the keyboard behavior. Own all of it.
Help democratize design.
Support AI-enabled workflows that bring product managers, engineers, and other collaborators into design tools, creating the conditions for non-designers to contribute meaningfully to the experience layer. Act as a consultant and quality bar on that work, not a gatekeeper. Build shared literacy around what good looks like, so the people working alongside you can make better decisions independently.
Multiply your team.
Be an excellent partner to engineers, product managers, and analysts as your co-builders to move the highest-impact work forward with strong communication and collaboration. Bring tighter problem framing, sharper user insight, and prototypes that make decisions easier to make. Design the repeatable, low-friction systems that let everyone on your team, including you, ship faster without sacrificing quality.
Who We Are
Babylist is the leading platform for expecting and new families. More than 10 million people shop with Babylist every year, making it the go-to destination for seamless purchasing, guidance, and expert recommendations. As a modern, AI-forward tech company, Babylist has expanded from a universal registry into a full ecosystem — the Babylist Shop, Babylist Health, Babylist Money, NYC and LA showrooms, branded content, and more — generating $750M in revenue in 2025. Building the generational brand in baby, Babylist is reshaping the $235B kids and baby market and helping parents feel confident, connected, and cared for at every step.
Our Ways of Working
Babylist is remote-first with team members across the U.S. and Canada who move fast, think smart, and use AI as part of how they work every day — not as an experiment, as an expectation. We come together twice a year to build the relationships behind the work, and we hire people who are genuinely excited about what's possible and prove it through how they show up.
Why You Will Love Working At Babylist
Our Culture
We work with focus and intention, then step away to recharge
We believe in exceptional management, and we invest in the tools and the time to connect with colleagues
We build products that positively impact millions of people's lives
AI is part of how we work, not a side experiment. You'll have leading tools like Claude and ChatGPT from day one, with no waiting on access, so the busywork gets handled and your judgment goes where it counts
Growth & Development
Competitive pay and meaningful opportunities for career advancement
We believe technology and data can solve hard problems
We're committed to career progression and performance-based advancement
Benefits
Company-paid medical, dental, and vision insurance
Retirement savings plan with company matching and flexible spending accounts
Generous paid parental leave and PTO
Winter Wonder Week: the whole company takes a paid week off at the end of the year, whether or not you celebrate anything, so everyone's out at once and comes back refreshed
Remote work stipend to set up your office
Perks for physical, mental, and emotional health, parenting, childcare, and financial planning
Important Notices
Recorded Interviews.
Babylist uses an interview recording tool to record and transcribe interviews for evaluation purposes in accordance with applicable privacy laws. By participating in an interview, you consent to this recording and transcription.
Interview Integrity.
AI is part of how we work at Babylist. We expect you to use it too. Your application and interviews should still reflect you and your own thinking. We'll tell you when AI is encouraged. Misrepresentation at any stage may result in removal from consideration for this and future roles.
How We Review Applications
We use AI throughout our hiring process to help review, screen, and assess applications. These tools support our team's review; they do not replace it, and every hiring decision is made by a person.
Connections at Babylist.
If you have a family member or close personal relationship with a current Babylist employee, please let your recruiter know. This helps us keep our process fair and transparent for everyone.
Protect Yourself from Scams.
All official outreach comes from the Babylist Talent Team via @babylist.com email addresses only. We will never ask for payment or personal financial information. If you receive outreach via WhatsApp, Telegram, or a non-Babylist email, it's not us. Verify open roles at babylist.com/careers.
Location: United States
What the Role Is
The modern tech stack has collapsed the distance between designing an experience and shipping it. We're hiring Senior Product Designers to build the next generation of Babylist by leveraging this reality.
The
Senior Product Designer
is the primary owner for user experience, delight, and interaction quality on the team. Equal parts skilled designer, hands-on researcher, and AI-enabled builder, you own how things feel, think broadly about user flows across the full Babylist experience, and hold the bar for whether something is intuitive, beautiful, and emotionally right for the user. You work alongside product managers, engineers, and data partners, but you are the one driving the experience layer and making sure every interaction meets both the functional and emotional needs of our users to drive impactful outcomes for the business.
You flex beyond the basics by running research, standing up working prototypes (in hours not days), and contributing to production-quality front-end code ensuring polish is never a trade-off. You help Babylist make the transition into AI-native product development by modeling what an AI-native designer does every day.
In this role, you shape how parents discover products, receive gifts, and navigate early parenthood across web and native mobile. These are not casual interactions. Families are making decisions during one of the most meaningful and overwhelming transitions of their lives. The experience has to be easy to use, easy to understand, and worthy of the trust they place in us.
Who You Are
Craft and experience obsessed
. You care deeply about how things feel, not just how they function — the transitions, motion, and details most people can't articulate but everyone responds to. You have a portfolio of shipped consumer product work across web and native mobile that proves it.
A systems thinker.
You see how a single interaction fits into a broader flow, how flows connect across products, and how the design system enables all of it. You design for coherence, not just screens.
Industry aware and pattern fluent.
You know the interaction patterns and design conventions that have become table stakes — and when to apply them versus evolve them for what Babylist families actually need.
Human-and-data-centered.
You plan and run generative and evaluative research yourself, bring concrete qualitative and quantitative evidence into design decisions, and communicate design rationale clearly and persuasively.
Product savvy
. You know what's worth building, what UX is right for a given context, and what will resonate with users in ways that support the business's goals — making engineers and PMs faster by reducing ambiguity and tightening scope.
Critical thinker.
You question assumptions and stress-test ideas before committing to them, distinguishing between what the data says and what people want it to say. You approach problems with creativity and multi-dimensional thinking.
Feedback fan.
You build feedback loops into your process from the start — putting prototypes in front of users early, sharing in-progress work before it's polished, and actively soliciting critique that makes it better.
AI-native and a real builder.
You move from a rough concept to an interactive prototype in hours, not weeks, and write production frontend code yourself rather than depending on an engineer to translate your mock. You have a portfolio of work built this way.
Outcome owner
. You instrument your own work, track whether it's moving the right metrics, and make clean iterate/pivot/stop calls based on evidence, not attachment.
Adaptable and low ego
. You jump in where needed across team boundaries without waiting for permission, and you bring curiosity to ambiguity rather than anxiety.
You naturally reach for AI in your work.
At Babylist, every team uses AI daily. You're already using it to move faster and improve your output, and you stay curious about what's coming next.
How You Will Make An Impact
Own the experience layer across a customer journey or product surface end-to-end
. Think holistically about user flows, brand expression, information architecture, and interaction patterns across the full Babylist product ecosystem - both web and native app - working with other designers and teams as needed.
Design and build experiences that drive outcomes
. That means using sound judgement to create experiences that solve real problems, are intuitive under stress, simple when decisions are complex, and delightful when the moment calls for it.
Define excellence.
Set the bar for quality, delight, and product excellence by demonstrating and teaching your team what great looks and feels like. Eschew perfection for learning that propels the product toward your high bar.
Stay deeply connected to users
. Talk to customers. Plan and execute research to ground design decisions in how families actually behave. Create fast feedback loops through user testing, Babylist communities, and other channels. Your design decisions are grounded in reality, not assumption.
Contribute to and evolve Babylist's design system
. Build reusable components, define interaction patterns, and ensure consistency across web and native mobile.
Operate with agency.
Don't wait for permission — create the conditions for your success and bias toward action, starting before you have the full picture and learning as you go. Let challenges energize you to think creatively and try new things.
Build with AI-native workflows
. Research synthesis, rapid prototyping, production code, design system evolution, interaction exploration. Show your team what's possible by doing it yourself leveraging AI - then share and teach what’s working.
Write production frontend code
. Work in the codebase to implement, refine, and polish the experiences you design. Close the gap between what a design looks like in Figma and what a user actually touches - finding and fixing rough edges without being asked. The transitions, the micro-interactions, the loading states, the empty states, the error states, the keyboard behavior. Own all of it.
Help democratize design.
Support AI-enabled workflows that bring product managers, engineers, and other collaborators into design tools, creating the conditions for non-designers to contribute meaningfully to the experience layer. Act as a consultant and quality bar on that work, not a gatekeeper. Build shared literacy around what good looks like, so the people working alongside you can make better decisions independently.
Multiply your team.
Be an excellent partner to engineers, product managers, and analysts as your co-builders to move the highest-impact work forward with strong communication and collaboration. Bring tighter problem framing, sharper user insight, and prototypes that make decisions easier to make. Design the repeatable, low-friction systems that let everyone on your team, including you, ship faster without sacrificing quality.
About Compensation
We use a market-based approach to compensation. The starting salary range for this role is:
$178,035 to $213,642 + bonus and meaningful equity
Your starting salary will be based on your location, experience, and qualifications, with increases over time tied to performance, role growth, and internal pay equity.
Who We Are
Babylist is the leading platform for expecting and new families. More than 10 million people shop with Babylist every year, making it the go-to destination for seamless purchasing, guidance, and expert recommendations. As a modern, AI-forward tech company, Babylist has expanded from a universal registry into a full ecosystem — the Babylist Shop, Babylist Health, Babylist Money, NYC and LA showrooms, branded content, and more — generating $750M in revenue in 2025. Building the generational brand in baby, Babylist is reshaping the $235B kids and baby market and helping parents feel confident, connected, and cared for at every step.
Our Ways of Working
Babylist is remote-first with team members across the U.S. and Canada who move fast, think smart, and use AI as part of how they work every day — not as an experiment, as an expectation. We come together twice a year to build the relationships behind the work, and we hire people who are genuinely excited about what's possible and prove it through how they show up.
Why You Will Love Working At Babylist
Our Culture
We work with focus and intention, then step away to recharge
We believe in exceptional management, and we invest in the tools and the time to connect with colleagues
We build products that positively impact millions of people's lives
AI is part of how we work, not a side experiment. You'll have leading tools like Claude and ChatGPT from day one, with no waiting on access, so the busywork gets handled and your judgment goes where it counts
Growth & Development
Competitive pay and meaningful opportunities for career advancement
We believe technology and data can solve hard problems
We're committed to career progression and performance-based advancement
Benefits
Company-paid medical, dental, and vision insurance
Retirement savings plan with company matching and flexible spending accounts
Generous paid parental leave and PTO
Winter Wonder Week: the whole company takes a paid week off at the end of the year, whether or not you celebrate anything, so everyone's out at once and comes back refreshed
Remote work stipend to set up your office
Perks for physical, mental, and emotional health, parenting, childcare, and financial planning
Important Notices
Recorded Interviews.
Babylist uses an interview recording tool to record and transcribe interviews for evaluation purposes in accordance with applicable privacy laws. By participating in an interview, you consent to this recording and transcription.
Interview Integrity.
AI is part of how we work at Babylist. We expect you to use it too. Your application and interviews should still reflect you and your own thinking. We'll tell you when AI is encouraged. Misrepresentation at any stage may result in removal from consideration for this and future roles.
How We Review Applications
We use AI throughout our hiring process to help review, screen, and assess applications. These tools support our team's review; they do not replace it, and every hiring decision is made by a person.
Connections at Babylist.
If you have a family member or close personal relationship with a current Babylist employee, please let your recruiter know. This helps us keep our process fair and transparent for everyone.
Protect Yourself from Scams.
All official outreach comes from the Babylist Talent Team via @babylist.com email addresses only. We will never ask for payment or personal financial information. If you receive outreach via WhatsApp, Telegram, or a non-Babylist email, it's not us. Verify open roles at babylist.com/careers.
Location: Stamford, Connecticut, United States
About the Role
iCapital is seeking a Client Delivery Specialist Associate to join the Automation team within the Data Solution department. This role will ensure a seamless flow of financial data for iCapital’s clients and internal teams. This individual will support business critical processes from portfolio management system conversions to performance reconciliation.
This role offers the opportunity to contribute directly to our mission by ensuring the accuracy and integrity of our financial data. This person will be a part of a dynamic team focused on innovation and efficiency, working with cutting-edge technology to streamline client onboarding and reporting.
Responsibilities
Lead data conversion projects, including extracting, transforming, and loading (ETL) data between portfolio management systems. This involves understanding source system requirements, mapping data to new system standards, and managing the conversion of large datasets from legacy systems.
Integrate historical financial data by converting potentially complex and unstructured data files and statements into structured formats suitable for backfilling.
Provide support for automated data feeds, troubleshooting issues and ensuring the seamless transformation of daily financial transactions and positions into source system imports. This requires a strong understanding of the automated data processing system.
Respond to ad-hoc data requests from client-facing teams, providing timely and accurate information.
Qualifications
Bachelor's degree with a concentration in finance, computer science, statistics, mathematics, data science, or a similar field
2-5+ years in the financial industry, demonstrating a proven track record of financial product support, technical proficiency, and solid accounting knowledge
Expertise with Addepar and familiarity with other portfolio management systems, such as Advyzon, APX, Axys, Black Diamond, Orion, Ridgeline, Tamarac
Strong background working with financial custodial data and proficiency supporting alternative financial instruments
Advanced proficiency in Excel and text file manipulation. Familiarity with other data formats, such as JSON, XML, and unstructured-to-structured transformation is a plus
Experience with at least one of the following: Python, SQL, Power Automate or other large data set software, demonstrating the ability to extract and transform data
Demonstrated history of automating data-related processes such as data integration, including log file creation and maintenance
Understanding of Salesforce, Monday.com, Jira, and GitLab
Comfort working with a geographically dispersed team
Strong interpersonal verbal and written communication skills and comfortable communicating with clients as needed
Achievement of, or working towards, an MS/MBA, CFA, CAIA, or CFP is a plus
Benefits
The base salary for this role is $75,000 to $85,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.
For additional information on iCapital, please visit
https://www.icapitalnetwork.com/about-us
Twitter: @icapitalnetwork | LinkedIn:
https://www.linkedin.com/company/icapital-network-inc
| Awards Disclaimer:
https://www.icapitalnetwork.com/about-us/recognition/
iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity,
Location: Poland; Romania; Lithuania; Latvia
Intetics Inc.
, a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a highly skilled and experienced
Go Application Architect
to join our dynamic team on a full-time basis.
What You will do:
- Translate ambiguous business requirements into a clear, well-structured technical architecture;
- Design distributed and microservice-based systems that are scalable, fault-tolerant, and maintainable;
- Make and justify architectural trade-offs (performance vs. complexity, consistency vs. availability, build vs. buy);
- Design robust API contracts (REST/gRPC) with versioning and backward compatibility in mind;
- Architect data storage strategies across relational and non-relational databases, including schema design and query optimization;
- Design event-driven and asynchronous flows using message brokers (Kafka, RabbitMQ, NATS);
- Anticipate scalability and reliability risks before they become production incidents, and design systems that account for load, failure modes, and observability from the start;
- Produce clear architecture documentation (ADRs, technical specs, diagrams) that both engineers and business stakeholders can follow;
- Guide and mentor development teams on best practices, code quality, and Go idioms without formally managing them;
- Communicate technical decisions and trade-offs effectively to Product Owners, Solution Architects, and other non-technical stakeholders;
- Evaluate new technologies, tools, and frameworks and assess their fit for the team's technical roadmap;
- Balance hands-on coding with architectural oversight — staying technically credible while enabling other engineers to execute.
Requirements
- 7+ years of overall software development experience;
- 4-5+ years of hands-on, production-level experience with Go, including deep understanding of goroutines, channels, context, memory model, and concurrency patterns;
- Higher education in Computer Science (software development, etc.);
- Extensive experience working with AI and the process of implementing/configuring it within a team;
- Experience in fintech, banking, or other regulated/high-compliance domains;
- Proven experience designing distributed, microservice-based, and/or high-load systems;
- Strong expertise in API design (REST and/or gRPC), including versioning and backward compatibility;
- Solid understanding of relational databases (PostgreSQL/MySQL) — schema design, query optimization, transactions;
- Experience with message brokers (Kafka, RabbitMQ, NATS) and event-driven architecture;
- Strong knowledge of containerization and orchestration (Docker, Kubernetes);
- Experience with CI/CD pipelines and modern DevOps practices;
- Golang (design of scalable, distributed backend systems);
- Concurrency patterns in Go (goroutines, channels, sync primitives);
- System design for high performance and maintainability;
- CI/CD tools and pipelines (e.g. GitLab CI, GitHub Actions, Jenkins, etc.);
- Understanding of system design principles: scalability, fault tolerance, security, observability (metrics, logging, tracing);
- Strong communication skills — ability to explain architectural decisions to both technical teams and business stakeholders;
- Experience conducting architecture reviews and writing design documentation (ADRs, technical specs);
- Readiness to work from 9 till 18 CEST;
- Readiness to practical task (live coding in Go) during the interview with the client.
Would be a plus:
- Experience with NoSQL databases (MongoDB, Cassandra, ClickHouse) or caching layers (Redis);
- Exposure to cloud platforms (AWS, GCP, Azure) and cloud-native architecture patterns;
- Experience with Domain-Driven Design (DDD) or Event-Driven Architecture;
- Prior experience in a formal Architect, Staff Engineer, or Principal Engineer role;
- Familiarity with additional languages (Java, Python, C++) for cross-team collaboration;
- Experience integrating AI/LLM components into production systems;
- Contributions to open-source Go projects or internal frameworks/libraries;
- Experience with SRE practices (SLI/SLO, error budgets, incident response);
- Relevant certifications (AWS/GCP/Azure architecture certifications).
Location: Tel Aviv-Yafo, Tel Aviv District, Israel
About Aidoc
Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year.
Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions.
Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need.
About this role
We are seeking an experienced sharp and dynamic analytical mind to join our Product Analytics team as a Strategic product analyst. This position is ideally suited for those who are naturally passionate about learning, gaining knowledge, and analyzing anything they do and see with experience in utilizing data to make a significant impact.
The role requires a combination of analytical, technical, problem-solving, communication, and project management skills, and it involves working closely with various stakeholders and customers - including Product Managers, Customer Success Managers, Operations teams, Data Engineers, UI/UX Designers, SW developers, and AI experts at all levels.
Responsibilities
As a Strategic product analyst at Aidoc’s Analytics group, you will play a critical role in expanding our data-driven vision and building analytics capabilities that create value for both our customers and internal teams. Your work will include:
Building scalable customer-facing analytics and data-sharing products, transforming complex data and customer needs into reliable, intuitive, and standardized solutions.
Partnering with Customer Success and Product teams to understand how customers use our products, identify opportunities to improve adoption and demonstrate value, and translate site needs into scalable analytical solutions.
Leading strategic analyses across products, workflows, and clinical domains, connecting data from multiple parts of Aidoc’s ecosystem to uncover insights and support business and product decisions.
Designing product KPIs and measurement frameworks, monitoring trends, and working with key stakeholders to translate findings into actionable insights.
Conducting decision-support analyses for Product, Customer Success, development, and operational initiatives.
Designing and improving scalable data models and analytics infrastructure that support customer-facing products, internal analytics, and repeatable analytical capabilities.
Continuously expanding our analytics knowledge base, improving data quality and reliability, and documenting learnings to strengthen the team’s collective expertise.
The role is all about collaborating with stakeholders to craft their questions into tangible metrics and captivating visuals, empowering them to uncover insights and make informed decisions through the power of data. Plus, you get to dive deep into learning opportunities and document your discoveries, enriching our collective intelligence and fueling continuous improvement.
Requirements
5+ years of experience in Product Analytics, Data Analytics, Business Analytics, or a similar analytical role.
Strong technical orientation and eagerness to understand data models, pipelines, and analytics infrastructure.
Demonstrated ability to work independently, navigate ambiguity, and collaborate effectively across multiple functions and stakeholders.
Excellent verbal and written communication skills as well as presentation skills
B.Sc or equivalent studies with extensive hands-on projects
A Master's degree - An advantage
Working at Aidoc
Our Perks:
Be part of something big - using cutting-edge technologies to transform the Healthcare industry (while saving patients’ lives)
We work in a hybrid model, with our new offices located at 34 HaMasger Street in Tel Aviv and parking for employees.
Amazing and healthy breakfasts and lunches prepared daily by our personal chef!
Stocked up kitchen & meal card
Wellness: Aidoc employees-only gym, plus Pilates, Yoga, and functional workouts classes.
Amazing culture - collaborative, transparent & fun!
Attractive compensation package & benefits
Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.
Description
We are looking for a highly motivated Backend Engineer to join our team from anywhere in the World. There are a lot of opportunities for you to influence our direction, both on the product and technical side. As a senior engineer on the team, we’d look to you to help shape our future direction.
Duties
— Data architecture, data modeling, and data infrastructure ecosystem.
— Design, build, and maintenance of data processing pipelines.
— Design, build and maintain micro-service architecture.
— Balance speed and quality, with a focus on tangible results.
— Actively participate in establishing the underlying technology for the company.
Musts
— 3+ years of experience crafting high-quality solutions in professional environments
— Hands-on experience implementing and maintaining scalable, highly available, high-load systems
— Proficiency in any backend programming language and willingness to learn
— Sharp analytical skills
— Attention to details
— Deep understanding of technology
— Ability to handle multiple projects, tasks, and people in a fast-paced environment
— Flexible and focussed on finding a balanced solutions
— Excellent English skills.
Benefits
— Flexible working hours
— Work with professionals of your field
— Multicultural and diverse environment
— Free parking
— Learning budget
— Sports and leisure
— Possibility to work remotely
Задачи:
- Работать с DevTools (Elements, Console, Network, Application)
- Тестировать REST API с помощью Postman и Swagger
- Работать с Unix-консолью
- Тестировать интеграции через Kafka UI / RabbitMQ Management / Offset Explorer
- Смотреть и анализировать серверные логи в Kibana / OpenSearch и т.д.
- Писать SQL-запросы средней сложности (СУБД - PostgreSQL, отправлять запросы через DBeaver)
- Тестировать мобильное приложение на эмуляторах (Android Studio) и реальных устройствах
- Писать API-тесты с проверкой структуры ответов, статусов, бизнес-логики
- Применять Pytest — параметризацию, фикстуры, плагины, хуки
- Применять httpx или requests для HTTP-взаимодействия с API
- Работать с Playwright для автоматизации веб-интерфейсов (UI-тесты, сценарии)
Требования:
- Коммерческий опыт тестирования ПО от 4 лет и опыт автоматизации тестирования от 2 лет
- Понимание жизненного цикла разработки ПО (SDLC) и процессов тестирования
- Опыт работы в Agile/Scrum/Kanban-командах
- Навыки чтения и анализа технической документации, логов, DTO
- Способность создавать и поддерживать тестовую документацию (тест-кейсы, чек-листы, баг-репорты)
- Опыт тестирования веб- и мобильных приложений (Android) будет плюсом
- Опыт тестирования high-load систем
- Опыт работы с Docker
- Знание CI/CD
Location: England; United States
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
THE ROLE
The Secure Build team builds and operates the infrastructure behind Docker's container builds. The team owns Docker Build Cloud and Auto Builds while developing the next generation of trusted build and CI capabilities.
Software is being changed faster than ever, but CI remains a bottleneck and a major trust boundary. Developers and software agents need to run build and test work quickly without exposing secrets, losing local-to-cloud parity or accepting an unverifiable result. Our direction is to make Docker the trusted place CI runs and turn that constraint into an accelerator.
The technical work spans Go services, container and build technology, cloud infrastructure, isolated execution and software supply-chain security. It also requires disciplined operation of the production systems customers rely on today. Docker Build Cloud and Auto Builds will need targeted reliability and operational improvements while useful capabilities evolve towards a coherent Secure Build platform.
As a Senior Software Engineer, you will turn these problems into practical product and technical outcomes. You will own substantial work from discovery and design through production, make sound security and reliability trade-offs, and stay close to the experience of developers and the agents they delegate work to.
We make extensive use of AI-assisted engineering tools. We expect engineers to use them thoughtfully, validate their output and remain accountable for the quality and security of what ships.
SUCCESS IN THIS ROLE LOOKS LIKE
You will succeed by becoming an end-to-end owner for secure, reliable build infrastructure. Within your first year, you should have delivered a material secure-build or CI capability, reduced operational risk in Docker Build Cloud or Auto Builds, and become a trusted partner to the teams and customers that consume the platform.
_______________________________________________________________________
RESPONSIBILITIES
- Turn developer, agent and security problems into clear requirements, staged technical decisions and measurable outcomes.
- Design, build and operate Go services and APIs that power Docker's build and secure-CI infrastructure.
- Develop isolation, identity, policy, provenance, attestation and signing capabilities for trusted build and test jobs.
- Work with container, OCI, BuildKit, cloud and isolated-execution technologies to deliver secure and reproducible workflows.
- Own features from technical design through rollout, observability, incident response and ongoing maintenance.
- Keep Docker Build Cloud and Auto Builds reliable, make targeted improvements that reduce operational load, and help their capabilities evolve towards the wider Secure Build direction.
- Make practical security trade-offs and use threat modelling to guide designs without blocking delivery.
- Design for a clear developer experience, including workflows initiated or consumed by software agents.
- Partner with Product, Security, Developer Experience, Registry and other platform teams on end-to-end customer workflows.
- Participate in the team's paid on-call rotation and drive improvements from incidents and recurring operational work.
- Communicate decisions, risks and progress clearly in a remote, async-first environment.
_______________________________________________________________________
QUALIFICATIONS
REQUIRED
- 6+ years of software engineering experience, with demonstrated technical leadership on production systems at scale.
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- Strong backend engineering experience building and operating distributed systems in production.
- Production experience with Go and the ability to write, test, review and debug maintainable Go services.
- Experience with containers and build or CI systems, such as OCI, BuildKit, Buildx, GitHub Actions or comparable platforms.
- Experience with cloud-native infrastructure and a major cloud platform.
- A strong operational mindset covering observability, reliability, incident response and on-call ownership.
- Evidence of taking a feature or service from an ambiguous problem through production operation and measurable results.
- Working knowledge of security boundaries, identity, secrets and common software supply-chain risks.
- A strong product mindset and care for developer workflows, including experiences used by software agents.
- Clear written and spoken communication suited to a remote, async-first company.
HELPFUL, BUT NOT REQUIRED
- Experience with Kubernetes.
- Experience with SLSA, in-toto, SBOM, VEX, Sigstore, cosign, provenance or artefact signing.
- Experience with sandboxing, microVMs, untrusted workload execution or multi-tenant infrastructure.
- Experience building hosted CI runners, remote builders or developer-platform infrastructure.
- Experience with agentic development workflows or building systems used programmatically by software agents.
- Experience evolving a legacy production system while delivering new capabilities.
_______________________________________________________________________
WHAT TO EXPECT
FIRST 30 DAYS
- Build context on Docker Build Cloud, Auto Builds and the Secure Build product and technical direction.
- Pair with the Secure Build team on core services, deployments and operational practices.
- Ship a useful production change and take part in an operational review or incident-learning session.
- Understand the secure-CI threat model and build relationships with DHI, Registry and Developer Experience.
FIRST 90 DAYS
- Own a secure-build feature or reliability improvement from problem definition through production.
- Contribute materially to the secure-CI architecture, including isolation, identity, policy or signed evidence.
- Deliver an observable improvement to the reliability or operability of an existing build service.
- Demonstrate strong product judgement across developer and agent workflows.
ONE YEAR OUTLOOK (FIRST YEAR)
- Be a trusted senior technical owner on the Secure Build team.
- Deliver a material secure-CI or trusted-build capability used by customers or internal product teams.
- Improve the reliability and maintainability of Docker Build Cloud and Auto Builds while helping their useful capabilities converge with the wider platform.
- Contribute to the team's architecture for isolated execution, brokered access and verifiable build outcomes.
- Help establish strong product, design, review and operational practices as the team grows.
Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs.
_______________________________________________________________________
COMPENSATION & EQUITY
All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location.
Europe: €94,040 – €155,650 base
United States: $160,900 – $260,700 base
______________________________________________________________________
POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
______________________________________________________________________
PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Location: Remote - United States
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
The Compliance Engineering team is responsible for preparing Reddit’s platforms for evolving regulatory requirements. We’re building products that establish the foundation of trust in the Reddit platform, while partnering closely with teams across the company to ensure our platforms and features meet the highest standards. Engineers on this team will thrive in dynamic, ambiguous problem spaces and work across multiple domains and technology stacks.
What You’ll Do:
Shape the future of Reddit by adapting our platforms to an evolving privacy, security, and regulatory landscape
Partner with product, design, and engineering teams across the company to build trusted, compliant experiences for millions of users
Join a highly visible team where you’ll influence both technical and product strategy, and help define an entirely new product space
Own product areas and shape strategy end-to-end: from technical design and coding to testing, experimentation, analysis, and launch
Lead high-impact, cross-functional initiatives that are critical to Reddit’s business and platform integrity
Raise the bar for engineering by improving workflows, setting standards, and mentoring the next generation of engineers
Qualifications for this role:
5+ years backend development experience with multiple parts of the backend stack, from databases to networking to efficient computing. We develop with Go, Python, Postgres, Redis, Thrift, GraphQL and deploy to Docker/k8s on AWS.
Experience as a tech lead on projects and teams with 3+ backend engineers
Ability to design and implement complex distributed systems operating under high load.
You must be self-directed, innovative, and biased towards action in fast-paced environments. You live to build new things and thrive in ambiguity and even failure.
Excellent communication skills. You must be able to collaborate effectively with teams in a fully-remote environment, and discuss complex topics with technical and non-technical audiences.
Experience mentoring engineers, owning team processes, and leading cross-functional projects is preferred.
Benefits:
Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit
https://www.redditinc.com/careers/
.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base salary range for this position is:
$190,800
—
$267,100 USD
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Los Angeles, USA
headTel Aviv
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УдалённоEnsure staffing and escalation coverage across accounts and timezones, including post-sales request load that does not respect sprint boundaries; Comfort operating with ambiguity across distributed teams and timezones, and a bias toward writing things down
УдалённоRemote - United States; Ensure staffing and escalation coverage across accounts and timezones, including post-sales request load that does not respect sprint boundaries; Comfort operating with ambiguity across distributed teams and timezones, and a bias toward writing things down
ОфисPerm; Kuala Lumpur; Baku; Vladivostok
ГибридseniorHelsinki; Paris
ОфисLimassol, Cyprus; EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family; Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free
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