Location: Remote: United States; San Francisco HQ; Remote: Canada
Workplace: Remote
At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure.
Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users.
Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development.
We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you.
APPLYING TO RENDER
We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team.
We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed.
Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time.
About the Role
As the Engineering Manager for Governance & Access, you will lead the team responsible for building the security, governance, and access capabilities that let Render's customers manage teams, permissions, and environments with confidence as they scale.
You'll design these capabilities for a world where agents, not just humans, operate on Render, turning emerging agentic use cases into simple, reusable platform primitives across identity, authorization, credentials, and delegation. The problems span traditional IAM and emerging agent infrastructure, which is what distinguishes this role from a typical security or IAM job. You'll shape the team's structure as much as its roadmap. You'll also join at a formative moment: the team is small, the architectural foundations are still being defined, and the systems you build will become primitives used across millions of users.
What You’ll Do
- Lead and grow the Governance & Access team
- Own the roadmap for governance, identity and access management, roles and permissions, and related compliance and security capabilities
- Define how these capabilities extend to agents operating on Render, not only human users
- Partner with the dedicated product and design partners already on the team to align roadmap with customer and platform needs
- Build a strong hiring and interview process as the team scales, calibrating closely with recruiting and cross-functional partners
- Make key technical and architectural decisions for access, identity, and governance systems
- Coach and develop engineers, through performance management and career growth
- Coordinate with the adjacent Security team and the rest of the Growth and Expansion org as the platform evolves
- Balance security, usability, and speed, making pragmatic decisions about where strong guarantees are required and where the team can iterate
What We’re Looking For
- Strong people leadership - the top priority for this role
- Comfort operating in ambiguity, with the flexibility to adapt and grow as the team's scope evolves
- Experience building and scaling a team from an early stage
- A track record of managing and developing engineers, including hiring and performance management
- Ability to partner closely with product and design without needing to fill those functions yourself
- Background from either a startup or a larger company is fine. What matters is experience and ability to operate in a fast-paced environment
Nice-to-Haves
- Experience in security, governance, or access management (IAM, RBAC, compliance)
- Exposure to building for AI agents or agentic systems
- Experience managing senior (IC5-level) engineers
- Background in developer platforms or B2B SaaS products
This is an opportunity to help define what secure access looks like when software increasingly acts on behalf of people.
If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need.
BENEFITS
- 4 weeks of paid vacation.
- 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return.
- Long-term disability, life insurance, and 401K plans.
- 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well.
- Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc.
- Monthly cell phone and internet subsidy.
- Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders.
- Continuous learning benefits & related support.
This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization.
Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
We encourage all who are interested to apply. We can't wait to hear from you!
Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view
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УдалённоRemote: United States; San Francisco HQ; Remote: Canada
Location: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable technology collects rich physiological data, providing members with actionable insights into their recovery, training, and sleep.
We are seeking a Senior Signal Processing Engineer to develop and deploy algorithms for physiological sensors including optical sensor and inertial measurement unit (IMU) data into accurate, reliable, and real-time insights on WHOOP devices. This hands-on role centers on digital and statistical signal processing, sensor fusion, and model-based state estimation, with a particular focus on accelerometer and gyroscope data.
You will own algorithm development from sensor characterization, mathematical modeling, and Python prototyping through efficient C/C++ implementation, firmware integration, and production validation. Working closely with Firmware, Hardware, Data Science, and Product, you will deliver robust on-device algorithms that perform reliably across diverse members and real-world conditions while meeting the constraints of wearable hardware.
RESPONSIBILITIES
- Design and develop real-time signal processing and sensor fusion algorithms that combine Sensor measurements inputs to characterize motion and deliver reliable member-facing insights.
- Develop and tune model-based estimators for orientation and motion, including sensor bias estimation, uncertainty propagation, and drift mitigation under changing movement and sensing conditions.
- Build robust IMU processing pipelines, including filtering, calibration, time synchronization, resampling, coordinate transformations, and compensation for sensor noise and systematic errors.
- Analyze large-scale, noisy wearable datasets to identify failure modes and improve robustness across motion patterns, device orientation, fit, and individual movement characteristics.
- Translate algorithm prototypes into production-ready C/C++ implementations, balancing accuracy with power, memory, compute, numerical stability, and latency.
- Partner with Firmware and Hardware teams on sensor configuration, sampling strategies, and on-device integration; investigate differences between prototype behavior and performance on target hardware.
- Define performance metrics and rigorous validation plans using reference measurements, controlled experiments, real-world data, and on-device testing to assess accuracy, robustness, and long-duration stability.
- Own technical decisions for complex algorithm components, contribute to design and code reviews, mentor teammates, and collaborate across functions to investigate post-deployment issues and drive continuous improvement.
QUALIFICATIONS
- 5+ years of experience developing and deploying signal processing, sensor fusion, or state-estimation algorithms for real-world sensor applications, including substantial hands-on work with IMU data.
- MS or PhD in Electrical Engineering, Biomedical Engineering, Computer Science, Applied Mathematics, or a related quantitative field, or equivalent practical experience.
- Strong foundation in digital and statistical signal processing, including filtering, spectral analysis, stochastic processes, and sensor noise characterization.
- Demonstrated experience with accelerometer and gyroscope processing, IMU calibration, sensor error modeling, bias estimation, and drift management.
- Strong experience with Kalman filtering, including extended or error-state formulations, and model-based sensor fusion; practical understanding of nonlinear estimation, uncertainty propagation, and estimator failure modes.
- Practical knowledge of 3D motion and orientation representations, including coordinate frames, rotation matrices, quaternions, and rigid-body kinematics.
- Proficiency in Python for algorithm development, data analysis, and experimentation, and C/C++ for efficient embedded implementation; demonstrated experience deploying algorithms to resource-constrained hardware.
- Ability to independently investigate complex algorithmic problems, design rigorous validation experiments, and communicate technical tradeoffs with firmware, hardware, and cross-functional partners.
- Experience with body-worn sensors, human-motion modeling, motion segmentation, or periodicity analysis is highly desirable.
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don't meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-Verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Location: Boston, MA
Workplace: OnSite
At WHOOP, we’re on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.
WHOOP is hiring a Sensor Intelligence Engineer II to join the Sensor Intelligence team and help advance the next generation of biomedical optical sensing technologies. In this role, you will translate optical sensing concepts into validated systems and algorithms that enable meaningful physiological insights for WHOOP members. Working at the intersection of AD, hardware, firmware, data science, and human physiology, you will combine theoretical modeling, hands-on experimentation, and data analysis to inform future sensing capabilities and product development.
RESPONSIBILITIES:
- Drive the evaluation and development of next-generation optical sensing concepts, including the definition of technical requirements, design tradeoffs, and validation criteria
- Analyze raw time-series and multidimensional optical sensor data and construct signal processing work flows or platform for new physiological sensing etc.
- Develop, validate, and improve physiological sensing principle using physics modeling and/or experimentation.
- Analyze time-series and multidimensional biomedical sensor data to assess performance, identify artifacts and failure modes, and generate actionable recommendations for system and algorithm improvements
- Develop or improve the multiphysics numerical simulation platform to optimize sensor performance or evaluate potential sensing concepts.
- Collaborate with partners across Hardware, Firmware, Data Science, Research, and Product to communicate technical findings, influence design decisions, and translate research into scalable WHOOP capabilities
QUALIFICATIONS:
- Master’s degree or PhD in Electrical Engineering, Biomedical Engineering, Applied Physics, Optics, or a related technical field, or an equivalent combination of education and practical experience
- 3+ years of relevant industry or research experience developing biomedical optical sensing systems, signal processing methods, or algorithms
- Demonstrated depth in: Analyzing raw time-series and multidimensional optical sensor data, including but not limited to: PPG signal AC, DC, Perfusion Index, Systolic Foot, Systolic Peak, Dicrotic Notch, Diastolic Peak, Crest Time, Diastolic Time, etc.
- Experience analyzing time-series or multidimensional data from biomedical sensors, such as PPG, ECG, IMU, EMG, acoustic sensors, or medical imaging systems
- Proficiency in Python, C, or C++ for data analysis, algorithm development, prototyping, or system implementation, with the ability to communicate technical findings clearly and deliver high-quality work as requirements evolve
- Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions.
PREFERRED QUALIFICATIONS:
- Familiarity with biomedical optics or biophotonics, with expertise in one or more areas such as diffuse optical spectroscopy, Raman spectroscopy, tissue optics, experimental optics, or a related field.
- Experience with physiological sensing principles, understanding of the human circulation system and respiration system.
- Hands-on experience designing, building, and characterizing optical sensing systems or laboratory experiments using components such as LEDs, lasers, photodetectors, lenses, collimators, and optical filters.
Zадачи:
— Наставлять стажёра Xuribekov Muxammadyusuf, 20 лет, фрилансера.
— Помогать применять знания Html, Css, Javascript, React, Git, Git Hub на реальных проектах.
— Обучать новым навыкам и способствовать приобретению опыта.
Требования:
— Опыт работы с Html, Css, Javascript, React, Git, Git Hub.
Условия:
— Работа с начинающим специалистом из Андийона.
— Время для связи: 10:00 - 18:00.
— Оплата: бесплатно (Tekin).
Location: Remote - India
Who we are
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to
hundreds of thousands of businesses
and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to
remote-first work
, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
.
Hiring and how we work
We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!
Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.
.
See yourself at Twilio
Join the team as Twilio’s next Senior Engineering Manager.
About the job
As a Senior Engineering Manager in Compliance Experiences, you will lead the Know Your Customer (KYC) engineering team as it builds out Twilio's new Compliance Domain. Your team owns Trust Hub, Twilio's KYC Platform and the gateway to accessing all of Twilio's communication APIs. It serves two distinct customer bases: external customers - Twilio's customers who depend on seamless regulatory compliance to provision and manage phone numbers globally, and internal customers - engineering teams across Twilio who rely on your team's compliance APIs, services, and Ops Tooling to operate efficiently. You will own the people strategy, delivery execution, and stakeholder relationships for a team processing millions of requests daily.
You will be expected to champion AI-driven development practices, ensuring your engineers adopt LLMs and agentic tools to accelerate delivery, improve quality, and stay at the forefront of modern software engineering. Your mission is to build a high-performing team that consistently ships reliable, customer-obsessed products - while balancing the competing demands of external product commitments, internal platform obligations, and operational tooling investments.
Responsibilities
In this role, you’ll:
DRAW THE OWL:
Own the delivery roadmap for the Compliance Domain, including customer-facing compliance services, internal platform APIs, and Ops Tooling. Partner with Principal and Staff Engineers to translate long-term technical strategy into executable quarterly plans and measurable outcomes.
ACCELERATE WITH AI:
Drive the adoption of AI coding assistants (GitHub Copilot, Anthropic Claude, or internal LLMs) within your team. Set expectations for AI-augmented workflows, measure the impact on team velocity, and create the psychological safety for engineers to experiment with new tools.
BE AN OWNER:
Take full accountability for your team’s operational excellence, including system reliability, incident response, on-call health, and security posture. Make high-judgment calls that balance speed, quality, and risk.
WEAR THE CUSTOMER’S SHOES:
Serve two customer bases with equal rigor. For external customers, partner with Product Management to ensure compliance workflows are seamless and developer-friendly. For internal customers, proactively engage with dependent engineering teams to understand their needs, gather feedback on your team’s APIs and Ops Tooling, and ensure your platform enables them to move faster. Ground every decision in customer data and feedback from both audiences.
EMPOWER OTHERS:
Recruit, develop, and retain a world-class engineering team. Build a culture of psychological safety, candid feedback, and career growth. Coach your engineers-from mid-level to staff-to reach their full potential and take on increasing ownership. Champion diversity, equity, and inclusion in every hiring and development decision.
RUTHLESSLY PRIORITIZE:
Navigate competing priorities across external product features, internal platform needs, and Ops Tooling investments. Balance requests from multiple stakeholders-Product Management, internal engineering teams, and operations-with a clear framework for saying “no” to protect focus. Ensure resources are aligned to the highest-impact work across all three pillars.
WRITE IT DOWN:
Communicate team strategy, progress, and risks clearly and consistently to engineering leadership and cross-functional partners. Author team plans, post-mortems, and decision documents that create transparency and alignment.
BUILD BRIDGES:
Act as the primary point of contact between the Compliance Domain and its stakeholders. Manage relationships with Product Management, external-facing teams, and internal engineering teams that depend on your compliance services and Ops Tooling. Proactively communicate roadmap plans, surface trade-offs, negotiate priorities, and ensure stakeholders have clear visibility into what your team is delivering and why.
NO SHENANIGANS:
Model integrity in every interaction. Create an environment where engineers feel safe raising concerns, surfacing problems early, and challenging the status quo. Hold yourself and your team to the highest standards of ethical behavior.
Qualifications
Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
*Required:
15+ years of software engineering experience
with at least 5+ years in engineering management, leading a team of 10+ engineers and directly managing individual contributors.
Technical Depth:
Strong hands-on background in designing and operating highly available, cloud-native distributed systems. You don’t need to write code daily, but you must be able to engage deeply in architectural reviews, evaluate technical proposals, and earn the trust of your senior engineers.
Cloud-Native Fluency:
Deep familiarity with AWS ecosystems (Lambda, EKS, DynamoDB, Kafka), microservices patterns, and infrastructure-as-code practices (Kubernetes, Terraform).
AI-Forward Mindset:
Demonstrated experience driving AI tool adoption within your engineering team. You should be able to articulate a clear vision for how AI accelerates your team’s delivery and quality.
Delivery Excellence:
Proven track record of shipping complex software products on time and at high quality. Experience with agile methodologies and a data-driven approach to measuring team health and productivity.
People Leadership:
A track record of building diverse, inclusive, high-performing engineering teams. Experience with career frameworks, performance management, and growing engineers from mid-level to staff-plus.
Clear Communication:
Strong ability to communicate technical strategy, trade-offs, and team plans to engineering leadership, cross-functional partners, and your direct reports.
Stakeholder Management:
Proven ability to manage relationships across multiple stakeholder groups with competing needs. Experience balancing external customer commitments with internal platform obligations and communicating trade-offs transparently.
Operational Rigor:
Experience owning system reliability for mission-critical services, including incident management, on-call rotations, and SLO-driven operational improvements.
Desired:
Platform & Tooling Leadership:
Experience leading a team that builds internal platforms or operational tooling serving other engineering teams, with a product mindset toward internal customers.
Team Scaling:
Experience growing and evolving a team through periods of change, including onboarding new engineers, reshaping team processes, and managing through ambiguity.
Location
This role will be remote, and based in India - Karnataka, Tamil Nadu, Telangana State, Maharashtra and New Delhi.
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.
What We Offer
Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call
Twilio Magic
. Additionally, we empower employees to build
positive change in their communities
by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for,
please consider other open positions.
.
Stay alert to recruitment fraud
We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @
twilio.com
email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.
.
Twilio is proud to be an equal opportunity employer.
We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.
Location: Renton, Washington, United States
We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime.
Step Into the Multiverse: Your Next Adventure Starts Here
At
Wizards of the Coast
, we harness the power of imagination and connection to create unforgettable experiences. We create entertainment that inspires creativity, sparks passion, forges friendships, and fosters communities around the globe. In every pursuit our mission is to inspire a lifetime love of games. Whether it's through the strategic depth of
Magic: The Gathering®
, the rich storytelling of
Dungeons & Dragons®
, or our AAA digital game studios, we build worlds that bring people together, spark creativity, and fuel adventure. As we continue to grow and explore new realms, we're seeking passionate, curious, and innovative minds to join the adventure.
The Digital Innovations Team (DigIT) is changing how Wizards develops, delivers, and manages the digital systems behind our games — for players, retailers, and the studios that develop our worlds. We are seeking a Principal Software Engineer who can guide product ideas through every stage with agentic AI — from defining the problem with business partners, to developing the system, to deploying it in production, and then improving it based on actual data.
This job is not for those who have only observed AI changes from a distance. We need a hands-on creator. Someone who has directly shipped product to production by agentic AI, can provide the code and performance assessments, and can discuss in detail what was successful, what did not succeed, and what they would do differently. If your AI experience is primarily slides and architectural drawings, this is not the right role.
About the Role
You will be responsible for the technical direction of an initiative and the related product surface area, direct tech direction and product direction with/without PM support. You are answerable for what the team delivers, how quickly it adapts, and the business outcomes that result.
You will build products using agentic AI as your default development approach, leveraging the harness engineering and guardrails the team has developed. You contribute to evolving these patterns alongside peers, but your primary focus is shipping product. You understand where the technology performs well versus where it only demos effectively. You have informed opinions based on production experience about evaluations, guardrails, cost, latency, determinism, and the engineering methods needed to deliver AI products responsibly at scale.
What You'll Do:
Guide product concepts through the entire process with agentic AI. Starting from outlining the problem alongside product and business collaborators, moving to prototype development, to a data-informed launch, and then refining based on actual usage data. You are responsible for the full journey, not only a segment of it.
Build, hands-on with agentic AI. Keep close to the code. Deliver production-quality agent systems, analyses, prompts, and supporting services on your own. Define the reference point through achievements, not words.
Direct the build process through data-driven insights. Lead product ideas as testable hypotheses. Initiate tracking early and confirm success criteria with or with not the PM before beginning coding. Base decisions on actual data concerning what to prioritize, change, or remove. Ensure the feedback loop is as short as feasible.
Contribute to the department's agentic AI harness engineering alongside peers. Apply, stress-test, and improve shared patterns — LLMs, agents, Skills, MCP, eval frameworks, guardrails — through real production use. Bring back what works and what doesn't from the field.
Raise the engineering bar on architecture, code review, test strategy, observability, evals, and incident quality. Treat engineering excellence as a baseline expectation, not an optional initiative.
Lead position, influence people and product decisions. Make your EM and PM more effective at their jobs.
Contribute to the hiring bar. Lead technical interviews, calibrate the AI-capability signal in our hiring loop, and mentor the next layer of senior and staff engineers.
What You'll Bring:
Direct experience creating agentic AI systems. You have developed, deployed, and improved agentic systems in real-world settings, beyond demos or proofs of concept. You can describe the code you authored, the tests you designed, the prompt and tool usage changes you made, the cost and latency considerations you evaluated, the failure types you managed, and the metrics you used to choose the next release. Interviews will involve a hands-on agentic AI task.
Over 10 years of full-stack software engineering experience. At least 3 years in a Tech Lead, Staff, or Principal role responsible for guiding the technical direction of a team or program.
Product-engineer approach. You transform product ideas into operational, monitored, live software. You are comfortable prioritizing alongside PM or direct Product direction on your own, making product tradeoffs on the fly, and relying on metrics to guide iteration. You do not need a fully-detailed ticket to begin.
Deep proficiency across the stack. Modern JavaScript / TypeScript and at least one of Go, Python, or C#. You write production code, not just review it.
Strong systems and infrastructure foundation. AWS at scale, containerization, GitLab/GitHub CI/CD, PostgreSQL and data modeling, REST / gRPC / GraphQL API development, test automation, and a real point of view on observability and reliability.
Architectural judgment. You can defend a build decision, change your mind when the evidence warrants it, and write the build doc that brings the rest of the team along.
Business and product literacy. You can sit with a creative director, a retail partner, or a finance collaborator and have a conversation that is not purely technical. You can articulate business impact and tradeoffs without losing technical rigor.
Outstanding communication and collaboration. You make engineers around you better. You raise standards without becoming a bottleneck. You handle disagreement directly and well.
Bachelor’s degree or equivalent experience. Computer Science, Information Technology, or comparable work experience.
Nice to Have:
Experience leading or contributing to platform / horizontal services (search, notifications, identity, eventing, workflow, data platforms) consumed by multiple product teams.
Experience with Product Lifecycle Management (PLM).
Experience with Kubernetes, Akamai, Terraform, or equivalent infrastructure-as-code tooling.
Experience operating in a tri-lead (TL / EM / PM) or similar matrixed engineering model.
Foundational knowledge of Magic: The Gathering, Dungeons & Dragons, or the tabletop gaming space.
Compensation and benefits may vary based on location and role.
At Wizards, we believe in the magic of diversity—great ideas come from unique perspectives. We are committed to building an inclusive, welcoming workplace where everyone belongs. Wizards is an equal opportunity employer and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, or any other legally protected status.
Wizards will provide reasonable accommodation with the application process, upon your request, as required to comply with applicable laws. If you have a disability and require assistance in this application process, please contact your recruiter or coordinator.
#Wizards
The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package.
Pay Range
$172,600
—
$259,000 USD
Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include:
Health & Wellness
Time Off to Recharge
Financial Well-being
Life & Family Support
Volunteer and Community Initiatives
Learning & Development
Exclusive Perks
Please review our
Applicant Privacy Notice
to learn how we collect, use, and protect your personal information in connection with the application process.
• Автоматизировать сбор и обработку данных, уведомления и другие регулярные операции. • Разрабатывать Telegram-ботов и интеграции с веб-площадками, в том числе без публичного API.
Keepgo — глобальный провайдер мобильного интернета, предлагающий инновационные продукты и решения на основе виртуальных технологий, прежде всего eSIM.
Мы ищем опытного PHP Backend (Laravel) Разработчика, который поможет ускорить разработку бэкенда, разгрузит текущую команду и закроет бэклог задач.
Миссия:
— Поддерживать и улучшать качество существующего кода, в том числе legacy-частей.
Обязанности:
— Разработка новых фич бэкенда платформы управления мобильным интернетом (eSIM и обычные SIM)
— Проектирование и реализация REST API endpoints
— Поддержка и постепенный рефакторинг legacy-кода
— Оптимизация производительности и запросов к БД
— Написание unit и integration тестов
— Участие в code review
— Вести повторяемые части работы с помощью ИИ-агентов (интеграция нового провайдера, типовые endpoint'ы, тесты) — постепенно доводя типовую задачу с дней до часов.
Требования (Must-have):
— 4+ года коммерческого опыта в PHP
— 2+ года опыта работы с Laravel (актуальные версии)
— Уверенное знание PHP 8.1+ (у нас сейчас PHP 8.4)
— Опыт работы с Laravel 10+
— MySQL: проектирование схемы, индексы, оптимизация запросов, чтение EXPLAIN
— Опыт работы с Docker и docker-compose
— Опыт работы с Git, pull requests, участие в code review
— Опыт написания unit/integration тестов (PHPUnit или Pest)
— Готовность работать с legacy-кодом, умение разбираться в "чужих" решениях
— Понимание SOLID, базовых паттернов проектирования
— Английский: Beginner и выше
— Практический опыт или четкое понимание ценности работы через ИИ-агентов
— Осознанная проверка кода за агентом: умение аргументированно объяснить логику и корректность сгенерированного результата
Будет плюсом (Nice-to-have):
— Опыт работы с очередями (Redis, RabbitMQ, Laravel Queue)
— Опыт с PHPStan / Larastan (статический анализ)
— Опыт с CI/CD (GitHub Actions, GitLab CI и т.п.)
— Опыт работы в архитектуре модульного монолита или микросервисов
— Понимание DDD / Clean Architecture
— AWS или Azure
— Опыт работы в telecom
— Навык декомпозиции задач для эффективного делегирования ИИ-агентам
— Умение выявлять характерные изъяны AI-кода
— Опыт создания системных инструкций и переиспользуемых ролей для агентов вместо написания разовых запросов
— Способность выстраивать многоэтапные цепочки агентов (анализ → планирование → кодинг → тест)
— Навык интеграции агентов с внешним окружением: MCP-серверами, технической документацией и таск-трекерами
— Четкое понимание границ применимости ИИ: где автоматизация полезна, а где целесообразнее ручное исполнение
Чем предстоит заниматься : - Разрабатывать и поддерживать высоконагруженные сервисы на Go. - Проектировать и реализовывать pricing models, pricing formulas и алгоритмы оценки активов.
Чем предстоит заниматься Разрабатывать и поддерживать высоконагруженные сервисы на Go. Проектировать и реализовывать pricing models, pricing formulas и алгоритмы оценки активов.
Задачи:
— Разработка новых фич бэкенда платформы управления мобильным интернетом (eSIM и обычные SIM)
— Проектирование и реализация REST API endpoints
— Поддержка и постепенный рефакторинг legacy-кода
— Оптимизация производительности и запросов к БД
— Написание unit и integration тестов
— Участие в code review
— Ведение повторяемых частей работы с помощью ИИ-агентов (интеграция нового провайдера, типовые endpoint'ы, тесты) с целью сокращения времени выполнения задач
Требования:
— 4+ года коммерческого опыта в PHP
— 2+ года опыта работы с Laravel (актуальные версии)
— Уверенное знание PHP 8.1+ (в компании используется PHP 8.4)
— Опыт работы с Laravel 10+
— Знание MySQL: проектирование схемы, индексы, оптимизация запросов, чтение EXPLAIN
— Опыт работы с Docker и docker-compose
— Опыт работы с Git, pull requests, участие в code review
— Опыт написания unit/integration тестов (PHPUnit или Pest)
— Готовность работать с legacy-кодом, умение разбираться в чужих решениях
— Понимание SOLID, базовых паттернов проектирования
— Английский: уровень Beginner и выше
— Практический опыт или четкое понимание ценности работы через ИИ-агентов
— Умение аргументированно объяснить логику и корректность сгенерированного кода
Будет плюсом:
— Опыт работы с очередями (Redis, RabbitMQ, Laravel Queue)
— Опыт с PHPStan / Larastan (статический анализ)
— Опыт с CI/CD (GitHub Actions, GitLab CI и т.п.)
— Опыт работы в архитектуре модульного монолита или микросервисов
— Понимание DDD / Clean Architecture
— Опыт работы с AWS или Azure
— Опыт работы в telecom
— Навык декомпозиции задач для делегирования ИИ-агентам
— Умение выявлять изъяны AI-кода
— Опыт создания системных инструкций и ролей для агентов
— Способность выстраивать многоэтапные цепочки агентов
— Навык интеграции агентов с внешним окружением (MCP-серверами, документацией, таск-трекерами)
— Четкое понимание границ применимости ИИ: где автоматизация полезна, а где лучше ручное исполнение
Условия:
— Удалённая работа, полный рабочий день (170 часов в месяц)
— Рекомендации: на финальном этапе могут запросить контакты бывших коллег/руководителей для отзывов
— Перед финальным оффером проводится стандартный Background check
— Обязательное использование программы учёта времени Scrin.io на рабочем устройстве
Задачи:
— Генерация визуального контента: создание качественных и фотореалистичных изображений, иллюстраций и графики в нейросетях (Midjourney, Stable Diffusion, Leonardo AI или аналогичных).
— Создание и анимация видео: генерация коротких видеороликов, анимации продуктов и промо-материалов с помощью ИИ-инструментов (Runway, Pika, Sora, Kling или аналогичных).
— Разработка презентаций и каталогов: верстка, оформление и сборка презентаций, коммерческих предложений и продуктовых каталогов в Canva (или российских аналогах) «под ключ» — от концепции до готового файла.
— Работа с текстом и копирайтинг: написание, редактирование и адаптация текстов для презентаций, каталогов и постов с использованием ИИ (ChatGPT, Клауд, YandexGPT), контроль за тем, чтобы текст и визуал идеально дополняли друг друга.
— Промпт-инжиниринг: составление, тестирование и оптимизация сложных текстовых запросов (промптов) для получения предсказуемого и коммерчески применимого результата от нейросетей.
— Скаутинг ИИ-трендов: мониторинг рынка новых ИИ-инструментов, тестирование свежих обновлений нейросетей и их быстрое внедрение.
-Разрабатывать системы анализа здоровья: наше ключевое направление — AI, который помогает пользователю понять своё состояние и вовремя дойти до врача. -Внедрять AI-фичи в продукт и в компанию: интеграция LLM (онлайн и on-prem), интеллектуальный поиск, ассистенты для пользователей и внутренних команд.
