Location: AU: Sydney (45 Clarence St); AU: Melbourne: (260 Burwood Rd); AU: Brisbane (243 Edward St)
Workplace: Hybrid
Senior Software Engineer, AI Enablement
The role & impact
You'll join a small team that builds the tools, platforms and best practices helping engineers across Xero work with AI. Rather than shipping something once and moving on, you'll own it end to end from early experimentation through to production, including the run books, monitoring and rollback thinking that keep it reliable once real engineers depend on it day to day.
This is a role with real influence. You'll help shape the technical direction of an internal skills marketplace and AI distribution platform used across the wider engineering organisation, work directly with vendors like AWS, Microsoft and GitHub on technology that isn't public yet, and help guide and challenge a team that's still early in its AI journey.
The team & how they connect
The AI Enablement team sits within Engineering Experience and focuses on helping product engineering teams work faster and better with AI through platforms, tooling and practical guidance rather than just standard tooling. It's a close-knit team, spread across Melbourne, Sydney and the Sunshine Coast, with a product manager based in Wellington, who stay connected through regular syncs and a genuinely collaborative way of working despite the distance.
Initially, you will focus on
- Our current stack is C#, .NET and AWS, with Python and TypeScript picked up along the way for AI tooling
- Building an internal skills marketplace and a distribution platform for AI tools used across Xero's engineering org
- Developing guidance and best practice for authoring agent skills, including agents for remediation tasks
- Collaborating directly with AWS, Microsoft and GitHub on early-access technology not yet available in market
Where and how you can work
You can be based anywhere in Australia, and we're also open to candidates based in New Zealand. The team works in a hybrid way and is used to connecting across time zones, with regular in person boost days to come together, plan and collaborate as a team.
Here are some of the things we're looking for, for this role
- You bring hands-on software engineering experience, ideally with C#, .NET and AWS — if your background is elsewhere, we're still keen to talk, as good engineers pick up new stacks quickly
- You've built internal tools or platforms that other engineers genuinely relied on
- Production discipline matters to you: You write runbooks, set up monitoring and think through rollback before anything goes live
- You communicate clearly and know how to bring people along with an idea, not just ship code quietly in the background
- You're curious about coding agents and AI-native tools, and you keep an eye on where AI engineering is heading
- You can challenge a decision directly and respectfully, and you learn new things in a structured, quality-focused way
Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.
ГибридseniorAU: Sydney (45 Clarence St); AU: Melbourne: (260 Burwood Rd); AU: Brisbane (243 Edward St); You can be based anywhere in Australia, and we're also open to candidates based in New Zealand; The team works in a hybrid way and is used to connecting across time zones, with regular in person boost days to come together, plan and collaborate as a team
Location: CAN: Vancouver (333 Seymour St)
Workplace: Hybrid
The role / impact
You will help build the platforms and product capabilities that support money movement through Xero, from collecting invoice payments and paying bills to supporting payroll and future payment experiences. Your work will make payments feel more connected within Xero, helping small businesses manage their money with greater ease and confidence.
You will take ownership of meaningful engineering problems, building reliable, secure and scalable software where financial accuracy matters. Working closely with engineering, product and operational partners, you will help shape technical decisions, make trade-offs clear and balance delivery with the controls needed to protect customers and their money.
Through thoughtful communication, knowledge sharing and constructive feedback, you will contribute to an inclusive team culture and help improve how a growing engineering organization works.
The team / how they connect
You will join Payments Platform Engineering, an early-stage organization building the
foundations for collecting and paying money through Xero. The team is creating reusable capabilities that can support multiple products, payment methods, providers and regions, while staying closely connected to customer needs.
The work spans payment orchestration, provider integrations, onboarding and verification, risk, reconciliation and internal ledger capabilities. As the organization takes shape, you will have the opportunity to influence architecture, challenge assumptions and help define how payment experiences are built and scaled across Xero.
The team is currently working on / Initially, you will focus on
- Evolving systems tightly coupled to invoicing into reusable payment capabilities that support multiple products, providers and regions.
- Building payment orchestration and provider integrations, with clear boundaries between payment methods, providers and the networks that move money.
- Developing foundations across customer onboarding, know-your-business verification, entity management, risk and compliance.
- Strengthening reconciliation, dispute handling and internal ledger capabilities so financial events are represented accurately and can be traced.
- Supporting bill payments and broader incoming and outgoing money flows, with reliability, security and observability built in.
- Applying AI and automation where they can reduce manual effort, while maintaining clear controls and appropriate human oversight.
Your initial area of ownership will sit within these priorities, with room to shape both the technical approach and how the team delivers.
Where and how you can work
This role is based in Vancouver. We operate on a hybrid model where you will spend one to two days a week in the office for collaborative technical discussions and team alignment, with the flexibility to work from home on the other days.
Here are some of the things we are looking for
- You bring strong backend software engineering experience and a track record of building and operating reliable services in production.
- You understand distributed systems and can reason through service boundaries,consistency, resilience and failure handling.
- You have practical experience working with transactional data, where correctness, integrity and traceability are essential.
- You can work through ambiguous problems, make pragmatic architectural decisions and recognise when to improve an existing system or take a new approach.
- You take ownership beyond implementation, considering automated testing, deployment, observability and the ongoing operation of your services.
- You communicate clearly and collaborate well across engineering, product and operational teams, connecting technical decisions to customer outcomes.
- You are interested in using AI tools to improve engineering productivity and exploring automation with appropriate controls and human oversight.
Experience in payments, financial systems or other environments where accuracy and
auditability are critical would be valuable.
Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.
Compensation & Total Rewards
At Xero, we value the impact and skills you bring to the team. We believe in a Total Package philosophy - ensuring your value is recognized through a holistic lens that includes base salary, performance incentives, and world-class benefits.
The expected base salary range for this role is 131,800 - 150,000 CAD.
Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role.
In addition to base pay, Xero’s roles are eligible for the following forms of variable
compensation:
● Variable Pay: Permanent employees are eligible to participate in our annual bonus and equity (RSU) programs. You may also be eligible for performance-based cash or equity (RSUs) incentives depending on your role level, and company performance.
● Comprehensive Benefits: World-class health, wellness, and retirement programs. Xero Perks https://careers.xero.com/inside-xero/benefits-wellbeing/ including Wellbeing days, generous leave, and dedicated professional
development budgets.
This is a posting for an existing vacancy.
Xero uses AI to help screen applications based on job-related qualifications. These tools assist our recruiters but do not make automated hiring decisions. A human recruiter reviews all candidates before any hiring action is taken.
Location: San Francisco; Remote (United States); Seattle; New York City
Perplexity serves hundreds of millions of queries a month. Every answer, every Perplexity Computer task, and every enterprise deployment runs on production infrastructure owned by the Cloud Infrastructure team: a fleet of Kubernetes clusters across a multi-account AWS estate, private networks that reach hyperscalers and the neoclouds serving our models, and the storage underneath our user data and agentic workloads. We're looking for SREs who treat reliability as a software problem. You'll own compute, networking, and storage at scale and keep production stable while everything built on top of it is changing fast.
RESPONSIBILITIES
- Own production at scale. Run the compute, networking, and storage foundation behind Perplexity's consumer, Computer, API, and enterprise products, and own its availability, latency, and cost.
- Run our Kubernetes fleet. Operate and upgrade the EKS clusters that host web services, search, datastores, and secure sandboxes. Tune scheduling, autoscaling, node lifecycle, DNS, and service networking so clusters stay healthy under bursty, fast-growing load.
- Engineer the network. Design and operate VPC architectures, Transit Gateway and PrivateLink connectivity, load balancing, DNS, and egress across accounts, regions, and cloud providers.
- Keep data durable and fast. Own the storage layer (EBS, S3, DynamoDB, and the managed databases and caches our services depend on), including performance, durability, backups, and restores that have actually been tested.
- Manage everything as code. Run infrastructure through Terraform and CI/CD. Build reusable modules and guardrails, and make every change reviewable, repeatable, and safe to roll back.
- Prepare for failures. Define SLOs, build alerts that someone can act on, design for zone and regional failure, and run game days and disaster-recovery exercises that prove recovery works.
- Lead incident response. Be on the critical path when things break. Drive incidents to resolution, write blameless postmortems, and land the fixes so the same failure never pages anyone twice.
- Scale ahead of demand. Own capacity planning, quotas, reservations, and cost efficiency so product launches and traffic spikes never wait on infrastructure.
- Automate away the toil. Build tooling, increasingly agent-driven, that turns provisioning, upgrades, and remediation into self-serve, hands-off workflows for every engineering team.
QUALIFICATIONS
We expect you to have real depth in most of these:
- Deep AWS expertise. You know VPC, IAM, EC2, EKS, ELB, Route 53, S3, EBS, etc. well past the console, including their limits, failure modes, and the bill that comes with them.
- Production Kubernetes at scale: cluster upgrades, CNI, CoreDNS, autoscalers like Karpenter, and debugging a misbehaving node at 3 a.m. Writing Helm charts alone doesn't count.
- Terraform mastery. You've designed module structures, managed state across many accounts, and run large refactors and imports without taking production down.
- Strong networking fundamentals (TCP/IP, DNS, TLS, load balancing, routing).
- You write real code in Python, Go, or Rust for automation, tooling, and controllers, and you'd rather automate a runbook than follow it.
- Fluency with observability tools like Datadog, Prometheus, or Grafana, and the judgment to turn metrics, logs, and traces into SLOs and alerts that matter.
- A track record of leading production incidents and turning root-cause analysis into durable fixes.
- You own problems end-to-end and do well when the path forward isn't laid out for you.
ADDITIONAL EXPERIENCE WE VALUE
- Multi-region active-active or failover architectures, and disaster-recovery programs with real recovery targets.
- Proxies, service meshes, and kernel-level networking: Envoy, Istio, Cilium, or eBPF.
- GitOps and progressive delivery: Argo CD, Flux, or similar.
- Enterprise and compliance environments: single-tenant or BYOC deployments, KMS/BYOK, SOC 2 or similar controls.
- Running stateful systems in production: Postgres, Redis, or search engines like Vespa or Elasticsearch.
- Multi-cloud or neocloud operations (GCP, CoreWeave, or similar).
- FinOps: cost attribution, Savings Plans and reservations, and making infrastructure cheaper without making it fragile.
Location: San Francisco; Remote (United States); Seattle; New York City
Perplexity serves hundreds of millions of queries a month. Every answer, every Perplexity Computer task, and every enterprise deployment runs on production infrastructure owned by the Cloud Infrastructure team: a fleet of Kubernetes clusters across a multi-account AWS estate, private networks that reach hyperscalers and the neoclouds serving our models, and the storage underneath our user data and agentic workloads. We're looking for SREs who treat reliability as a software problem. You'll own compute, networking, and storage at scale and keep production stable while everything built on top of it is changing fast.
RESPONSIBILITIES
- Own production at scale. Run the compute, networking, and storage foundation behind Perplexity's consumer, Computer, API, and enterprise products, and own its availability, latency, and cost.
- Run our Kubernetes fleet. Operate and upgrade the EKS clusters that host web services, search, datastores, and secure sandboxes. Tune scheduling, autoscaling, node lifecycle, DNS, and service networking so clusters stay healthy under bursty, fast-growing load.
- Engineer the network. Design and operate VPC architectures, Transit Gateway and PrivateLink connectivity, load balancing, DNS, and egress across accounts, regions, and cloud providers.
- Keep data durable and fast. Own the storage layer (EBS, S3, DynamoDB, and the managed databases and caches our services depend on), including performance, durability, backups, and restores that have actually been tested.
- Manage everything as code. Run infrastructure through Terraform and CI/CD. Build reusable modules and guardrails, and make every change reviewable, repeatable, and safe to roll back.
- Prepare for failures. Define SLOs, build alerts that someone can act on, design for zone and regional failure, and run game days and disaster-recovery exercises that prove recovery works.
- Lead incident response. Be on the critical path when things break. Drive incidents to resolution, write blameless postmortems, and land the fixes so the same failure never pages anyone twice.
- Scale ahead of demand. Own capacity planning, quotas, reservations, and cost efficiency so product launches and traffic spikes never wait on infrastructure.
- Automate away the toil. Build tooling, increasingly agent-driven, that turns provisioning, upgrades, and remediation into self-serve, hands-off workflows for every engineering team.
QUALIFICATIONS
We expect you to have real depth in most of these:
- Deep AWS expertise. You know VPC, IAM, EC2, EKS, ELB, Route 53, S3, EBS, etc. well past the console, including their limits, failure modes, and the bill that comes with them.
- Production Kubernetes at scale: cluster upgrades, CNI, CoreDNS, autoscalers like Karpenter, and debugging a misbehaving node at 3 a.m. Writing Helm charts alone doesn't count.
- Terraform mastery. You've designed module structures, managed state across many accounts, and run large refactors and imports without taking production down.
- Strong networking fundamentals (TCP/IP, DNS, TLS, load balancing, routing).
- You write real code in Python, Go, or Rust for automation, tooling, and controllers, and you'd rather automate a runbook than follow it.
- Fluency with observability tools like Datadog, Prometheus, or Grafana, and the judgment to turn metrics, logs, and traces into SLOs and alerts that matter.
- A track record of leading production incidents and turning root-cause analysis into durable fixes.
- You own problems end-to-end and do well when the path forward isn't laid out for you.
ADDITIONAL EXPERIENCE WE VALUE
- Multi-region active-active or failover architectures, and disaster-recovery programs with real recovery targets.
- Proxies, service meshes, and kernel-level networking: Envoy, Istio, Cilium, or eBPF.
- GitOps and progressive delivery: Argo CD, Flux, or similar.
- Enterprise and compliance environments: single-tenant or BYOC deployments, KMS/BYOK, SOC 2 or similar controls.
- Running stateful systems in production: Postgres, Redis, or search engines like Vespa or Elasticsearch.
- Multi-cloud or neocloud operations (GCP, CoreWeave, or similar).
- FinOps: cost attribution, Savings Plans and reservations, and making infrastructure cheaper without making it fragile.
Location: San Francisco; Remote (United States); Toronto; Seattle; New York City
Perplexity serves hundreds of millions of queries a month, and every one of them fans out into multiple AI inference requests running in real time. Behind that sits a large GPU fleet spread across several cloud providers. Today, our inference engineers and researchers build models while also managing networking, securing capacity, and operating the underlying GPU clusters, responsibilities we want a dedicated platform team to own. Your job is to take ownership of that infrastructure and hide its complexity behind a unified, self-serve platform for running training and inference workloads.
RESPONSIBILITIES
- Build a self-serve compute platform. Design and own the systems that let inference engineers and researchers launch training jobs and operate inference services without managing GPU provisioning, cluster configuration, or provider-specific infrastructure.
- Operate the GPU fleet. Own provisioning, lifecycle management, reliability, and capacity integration across providers, giving teams a consistent way to use compute regardless of where it runs.
- Solve for GPU scarcity. Build the scheduling and placement logic that finds available capacity across providers, packs it efficiently, and gets the right workload onto the right hardware under real constraints.
- Support two very different workloads. Keep long-running distributed training jobs healthy while simultaneously guaranteeing the availability and latency of production inference services on the same fleet.
- Own the Kubernetes for GPU orchestration. Write the operators and CRDs, and manage many clusters across providers so the platform behaves the same everywhere we run.
- Make failure boring. Build the fault tolerance, autoscaling, and observability that keep the fleet utilized and let workloads survive node loss, provider hiccups, and capacity shifts without human intervention.
- Set technical direction across teams. Partner with inference and cloud infrastructure engineers to turn operational constraints into a coherent platform architecture and roadmap.
QUALIFICATIONS
We expect you to have real depth in most of these:
- Deep Kubernetes experience — custom operators, CRDs, and multi-cluster federation, not just running kubectl apply.
- You've managed GPU clusters at scale: NVIDIA hardware, CUDA, and the networking that makes them fast (InfiniBand or RoCE).
- You've orchestrated compute across multiple clouds (CoreWeave, AWS, GCP, or similar) and understand how different each one really is.
- Strong distributed systems fundamentals: scheduling, resource allocation, and fault tolerance under load.
- You write infrastructure and systems-level code in Go, Rust or C++.
- You've supported both long-running training jobs and high-availability inference services, and you know why they pull infrastructure in opposite directions.
- You own problems end-to-end and do well when the path forward isn't laid out for you.
ADDITIONAL EXPERIENCE WE VALUE
- Inference serving stacks: vLLM, SGLang, or TensorRT-LLM.
- Slurm or other HPC schedulers.
- GPU kernel work in CUDA or Triton — not required, but notable.
- High-speed interconnects: InfiniBand, RoCE, or RDMA in production.
- Observability for ML workloads: Prometheus, Grafana, or Weights & Biases.
Location: San Francisco; Remote (United States); Toronto; Seattle; New York City
Perplexity serves hundreds of millions of queries a month, and every one of them fans out into multiple AI inference requests running in real time. Behind that sits a large GPU fleet spread across several cloud providers. Today, our inference engineers and researchers build models while also managing networking, securing capacity, and operating the underlying GPU clusters, responsibilities we want a dedicated platform team to own. Your job is to take ownership of that infrastructure and hide its complexity behind a unified, self-serve platform for running training and inference workloads.
RESPONSIBILITIES
- Build a self-serve compute platform. Design and own the systems that let inference engineers and researchers launch training jobs and operate inference services without managing GPU provisioning, cluster configuration, or provider-specific infrastructure.
- Operate the GPU fleet. Own provisioning, lifecycle management, reliability, and capacity integration across providers, giving teams a consistent way to use compute regardless of where it runs.
- Solve for GPU scarcity. Build the scheduling and placement logic that finds available capacity across providers, packs it efficiently, and gets the right workload onto the right hardware under real constraints.
- Support two very different workloads. Keep long-running distributed training jobs healthy while simultaneously guaranteeing the availability and latency of production inference services on the same fleet.
- Own the Kubernetes for GPU orchestration. Write the operators and CRDs, and manage many clusters across providers so the platform behaves the same everywhere we run.
- Make failure boring. Build the fault tolerance, autoscaling, and observability that keep the fleet utilized and let workloads survive node loss, provider hiccups, and capacity shifts without human intervention.
- Set technical direction across teams. Partner with inference and cloud infrastructure engineers to turn operational constraints into a coherent platform architecture and roadmap.
QUALIFICATIONS
We expect you to have real depth in most of these:
- Deep Kubernetes experience — custom operators, CRDs, and multi-cluster federation, not just running kubectl apply.
- You've managed GPU clusters at scale: NVIDIA hardware, CUDA, and the networking that makes them fast (InfiniBand or RoCE).
- You've orchestrated compute across multiple clouds (CoreWeave, AWS, GCP, or similar) and understand how different each one really is.
- Strong distributed systems fundamentals: scheduling, resource allocation, and fault tolerance under load.
- You write infrastructure and systems-level code in Go, Rust or C++.
- You've supported both long-running training jobs and high-availability inference services, and you know why they pull infrastructure in opposite directions.
- You own problems end-to-end and do well when the path forward isn't laid out for you.
ADDITIONAL EXPERIENCE WE VALUE
- Inference serving stacks: vLLM, SGLang, or TensorRT-LLM.
- Slurm or other HPC schedulers.
- GPU kernel work in CUDA or Triton — not required, but notable.
- High-speed interconnects: InfiniBand, RoCE, or RDMA in production.
- Observability for ML workloads: Prometheus, Grafana, or Weights & Biases.
Location: Singapore, Singapore
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About The Opportunity
We are looking for a high-impact
Vice President of Engineering / Senior Engineering Director
to lead strategic engineering initiatives across OKX’s core products. You will guide engineering leaders and teams working across multiple disciplines, helping them deliver secure, reliable, and scalable experiences for users worldwide.
This role will set technical direction, strengthen collaboration across engineering and product functions, and improve how teams plan, build, and operate critical systems. You will help ensure that architecture, execution, and operational priorities support the company’s product strategy and growth.
What You'll Be Doing
Strategic Leadership & Operational Excellence
Engineering Alignment & Delivery:
Improve coordination across engineering teams and functions, clarify ownership and decision-making, and help teams deliver product priorities with fewer bottlenecks.
Organizational Design & Scale:
Continuously refine engineering workflows, team structures, and operating rhythms to support business growth, team autonomy, and cross-functional collaboration.
Talent & Leadership Development:
Mentor, manage, and scale engineering managers and senior leaders; establish high standards for engineering craftsmanship, career growth, and technical accountability.
Technical Direction & Architecture
Technical Direction:
Guide architecture and engineering decisions across complex product environments, ensuring teams balance scalability, security, performance, and user needs.
Engineering Standards & Reliability:
Champion industry-leading engineering practices across software design, code health, automated testing, continuous deployment, and system observability.
System Resilience:
Ensure systems maintain high availability, security posture, and resilience in a fast-paced, high-volume environment.
Product Partnership & Execution
Cross-Functional Partnership:
Work hand-in-hand with Product Management, Design, Operations, and Security leaders to translate company strategy into clear, executable technical roadmaps.
Execution & Velocity:
Establish clear milestones, identify and resolve execution risks, and implement metrics to maintain predictable, high-cadence product releases.
What We Look For In You
Executive Leadership Experience:
10+ years of software engineering experience, including 5+ years leading multi-tiered engineering teams (50+ engineers) at the Director or VP level within high-scale product companies.
Technical Breadth:
A strong background leading engineering in large-scale product environments, with the ability to engage with diverse technical disciplines, assess architectural trade-offs, and guide experienced engineering leaders.
Delivery Track Record:
Demonstrated success driving complex, multi-team engineering programs to launch in fast-evolving, high-growth tech environments.
Domain Adaptability:
Experience in high-availability, low-latency, or mission-critical domains (such as FinTech, SaaS, payments, consumer tech, or Web3).
Communication & Influence:
Exceptional communication skills with the ability to build consensus across business, product, and deeply technical teams.
Perks & Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
#LI-ML1 #LI-ONSITE
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Chicago
DRW
is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.
DRW
is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
Our
Desktop Systems Engineering
team is the front line of support for all users across the firm. We work with a wide range of the best technology available - - and we get to test, configure and deploy it all in an environment that continually challenges us and demands that we learn new things daily. The team is also responsible for driving innovation for technologies that impact users daily. The pace is fast but we also obsess about leaving no stone unturned when there is a problem to be solved. We believe in healthy debate, creative and collaborative problem solving and active knowledge sharing. Strong technical aptitude and a passion for technology are critical for success in the Systems Engineer role but initiative, strong analytics and drive are equally important.
What you’ll be doing:
Providing end-user support to employees in the Chicago corporate office and exchange floors
Building, configuring, and upgrading workstations, laptops, and mobile devices
Troubleshooting, maintenance, and upgrades of desktop managed servers
User provisioning (user accounts, mobile devices, VPN, directory permissions)
Providing support for conference room technologies
Automation of repetitive system administration tasks
Evaluating and recommending new hardware and software technologies or solutions
What we’re looking for in this role:
2+ years of MEMCM/SCCM administration experience or similar
Knowledge of application packaging and management
Strong experience supporting and configuring Windows 11
Strong knowledge of Group Policy management
Powershell experience
Passionate about technology
Highly motivated, self-starter who is eager to grow within our organization
Ability to manage projects independently
Previous mobile device management experience
Nice to have:
Intune management experience
Previous macOS or Linux support experience
Previous Windows Server and Active Directory support experience
Scripting or low-level programming experience
The annual base salary range for this position is $85,000 to $125,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at
https://drw.com/privacy-notice
.
California residents, please review the California Privacy Notice for information about certain legal rights at
https://drw.com/california-privacy-notice
.
[#LI-LD1]
Location: United States, Aliso Viejo, 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.
At PlayStation, we are passionate about delivering high-quality experiences to millions of players worldwide.
We are looking for an experienced, hands-on Software Development Engineer in Test II (SDET II) to help build reliable, scalable Subscription and Streaming experiences.
This opportunity is suited for an engineer who enjoys solving complex technical problems, developing automation solutions, and improving quality across applications, services, and connected platforms.
Role Overview
As an SDET , you will collaborate with Software Engineers, Product Managers, and Quality Engineering teams to deliver subscription experiences across PlayStation platforms.
You will take ownership of testing and automation for assigned features, contribute to technical solutions, and help improve how quality is built into the development process.
Your work will span subscription and commerce services, backend APIs, mobile applications, gaming consoles, streaming services, and connected device experiences.
You will have opportunities to expand your technical expertise while working with experienced engineers across multiple teams.
Responsibilities
Design, develop, and improve automated testing solutions for subscription services, applications, and connected platforms.
Take ownership of quality engineering activities for assigned features, from test planning through automation and release validation.
Collaborate with engineering teams early in development to identify quality risks, improve testability, and determine effective testing approaches.
Develop reusable automation tools and framework capabilities that improve test coverage, reliability, and engineering efficiency.
Validate end-to-end customer journeys involving authentication, commerce, entitlements, subscription lifecycle management, retention, and streaming experiences.
Build automated tests for APIs, backend services, distributed systems, web applications, and native mobile platforms.
Integrate automated testing into CI/CD pipelines and contribute to improving test execution reliability and feedback.
Investigate complex failures, analyze root causes, and work with engineering teams to resolve issues.
Contribute to quality metrics, dashboards, and reporting that provide visibility into automation coverage and release readiness.
Identify opportunities to improve testing practices, reduce technical debt, and strengthen overall product quality.
Collaborate with globally distributed engineering and QE teams on integration testing and release qualification.
Explore emerging technologies, including AI-assisted testing, to improve test development and engineering workflows.
Required Qualifications
Bachelor’s degree or equivalent in Computer Science, Engineering, or a related field.
3+ years of experience in Software Development Engineering in Test, Software Engineering, Quality Engineering, or Test Automation.
Proficiency in at least one programming language, such as Python, JavaScript/TypeScript, or Swift.
Experience developing automated tests and working with test automation frameworks.
Experience testing APIs, backend services, web applications, or native mobile applications.
Understanding of software testing methodologies, test design, and automation strategies.
Familiarity with CI/CD pipelines, version control, and modern software development practices.
Experience investigating technical issues, debugging failures, and collaborating with engineering teams on solutions.
Ability to manage assigned work independently, communicate technical findings, and collaborate across teams.
Preferred Qualifications
Experience with subscription platforms, commerce systems, payment processing, or entitlement services.
Experience testing distributed systems, microservices, or cloud-based applications.
Experience with automation technologies such as XCUITest, Appium, Selenium, or API testing frameworks.
Familiarity with Jenkins, GitHub Actions, Docker, Kubernetes, or similar development tools.
Experience testing streaming services, media playback, gaming consoles, or connected devices.
Experience with React Native or other cross-platform application frameworks.
Experience developing end-to-end automation across client applications and backend services.
Familiarity with observability, telemetry, and quality reporting.
Exposure to AI-assisted testing and automation tools.
Understanding of accessibility and localization testing practices.
What We’re Looking For
You enjoy understanding how systems work and finding practical ways to improve their quality.
You are comfortable working across different technologies, investigating complex issues, and translating requirements into effective testing solutions.
You bring hands-on engineering experience, take ownership of your work, and collaborate with others to solve problems.
You are interested in continuing to develop your technical expertise while contributing to reliable, high-quality PlayStation experiences.
At SIE, working with our partners, 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 individual base pay range may vary based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role is eligible for benefit offerings that include medical, dental, and vision. Click
here
to learn more.
The estimated base pay range for this role is listed below, this is an hourly rate.
$52.83
—
$79.27 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.
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.
At PlayStation, we are passionate about delivering high-quality experiences to millions of players worldwide.
We are looking for an experienced, hands-on Software Development Engineer in Test II (SDET II) to help build reliable, scalable Subscription and Streaming experiences.
This opportunity is suited for an engineer who enjoys solving complex technical problems, developing automation solutions, and improving quality across applications, services, and connected platforms.
Role Overview
As an SDET , you will collaborate with Software Engineers, Product Managers, and Quality Engineering teams to deliver subscription experiences across PlayStation platforms.
You will take ownership of testing and automation for assigned features, contribute to technical solutions, and help improve how quality is built into the development process.
Your work will span subscription and commerce services, backend APIs, mobile applications, gaming consoles, streaming services, and connected device experiences.
You will have opportunities to expand your technical expertise while working with experienced engineers across multiple teams.
Responsibilities
Design, develop, and improve automated testing solutions for subscription services, applications, and connected platforms.
Take ownership of quality engineering activities for assigned features, from test planning through automation and release validation.
Collaborate with engineering teams early in development to identify quality risks, improve testability, and determine effective testing approaches.
Develop reusable automation tools and framework capabilities that improve test coverage, reliability, and engineering efficiency.
Validate end-to-end customer journeys involving authentication, commerce, entitlements, subscription lifecycle management, retention, and streaming experiences.
Build automated tests for APIs, backend services, distributed systems, web applications, and native mobile platforms.
Integrate automated testing into CI/CD pipelines and contribute to improving test execution reliability and feedback.
Investigate complex failures, analyze root causes, and work with engineering teams to resolve issues.
Contribute to quality metrics, dashboards, and reporting that provide visibility into automation coverage and release readiness.
Identify opportunities to improve testing practices, reduce technical debt, and strengthen overall product quality.
Collaborate with globally distributed engineering and QE teams on integration testing and release qualification.
Explore emerging technologies, including AI-assisted testing, to improve test development and engineering workflows.
Required Qualifications
Bachelor’s degree or equivalent in Computer Science, Engineering, or a related field.
3+ years of experience in Software Development Engineering in Test, Software Engineering, Quality Engineering, or Test Automation.
Proficiency in at least one programming language, such as Python, JavaScript/TypeScript, or Swift.
Experience developing automated tests and working with test automation frameworks.
Experience testing APIs, backend services, web applications, or native mobile applications.
Understanding of software testing methodologies, test design, and automation strategies.
Familiarity with CI/CD pipelines, version control, and modern software development practices.
Experience investigating technical issues, debugging failures, and collaborating with engineering teams on solutions.
Ability to manage assigned work independently, communicate technical findings, and collaborate across teams.
Preferred Qualifications
Experience with subscription platforms, commerce systems, payment processing, or entitlement services.
Experience testing distributed systems, microservices, or cloud-based applications.
Experience with automation technologies such as XCUITest, Appium, Selenium, or API testing frameworks.
Familiarity with Jenkins, GitHub Actions, Docker, Kubernetes, or similar development tools.
Experience testing streaming services, media playback, gaming consoles, or connected devices.
Experience with React Native or other cross-platform application frameworks.
Experience developing end-to-end automation across client applications and backend services.
Familiarity with observability, telemetry, and quality reporting.
Exposure to AI-assisted testing and automation tools.
Understanding of accessibility and localization testing practices.
What We’re Looking For
You enjoy understanding how systems work and finding practical ways to improve their quality.
You are comfortable working across different technologies, investigating complex issues, and translating requirements into effective testing solutions.
You bring hands-on engineering experience, take ownership of your work, and collaborate with others to solve problems.
You are interested in continuing to develop your technical expertise while contributing to reliable, high-quality PlayStation experiences.
At SIE, working with our partners, 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 individual base pay range may vary based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role is eligible for benefit offerings that include medical, dental, and vision. Click
here
to learn more.
The estimated base pay range for this role is listed below, this is an hourly rate.
$52.83
—
$79.27 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.
Location: London
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
Harvey is building a legal transformation practice for the AI era. Our Transformation Office brings together highly experienced consultants and practitioners to help law firms and legal departments turn AI from a tool their teams use into value their business can see.
Harvey’s experts help leaders decide what to change, and how to change it, as they adopt and embed new ways of working: how legal work is organized and governed, how it’s priced by firms and valued by in-house teams and how their people build new capability. The Transformation Office then works alongside their teams to make it happen. Our advice draws on what we see across Harvey's customers in more than 50 countries and on where the technology is heading. Our client work shapes Harvey's product, and the product shapes our advice. Both improve together.
Law firms and legal departments are making decisions now that will shape how they compete for the next decade: which work to prioritize, how to price and value it, how to staff it and how to organize around AI. As Transformation Advisory Lead for Strategy & Economics, you help their leaders make those decisions well. You have made them yourself, inside a firm or a legal department, and advised others through them, so managing partners, general counsel and CFOs treat you as a peer.
You will be one of the first senior specialists in Harvey's Transformation Office. You will help build our strategy and economics offering, bring that expertise to client engagements run by our Engagement Managers and join our Practice Directors when a customer has a specific need in strategy and economics. What you learn will shape how Harvey advises the market and what we build next.
WHAT YOU'LL DO
- Advise on strategy. Help leaders decide where AI changes their competitive position: which practices/domains, clients and types of work to prioritize, and where to invest.
- Advise on pricing and value. Help firms and legal departments measure the impact of AI on the cost, speed and value of their work. For firms, that means working through how fee structures and value models need to change; for legal departments, it means showing the value their work creates for the business.
- Advise on operating models. Help customers redesign how legal work is organized, supported and staffed, including team structures and the roles AI creates or changes.
- Help leaders make the case for change. Work with managing partners, general counsel and finance leaders to build the case they take to their partnership, board, internal stakeholders or executive team.
- Build the offering. Create the diagnostics, frameworks and leadership readouts the Transformation Office uses to deliver strategy and economics engagements, and turn each engagement into material the wider team can use.
- Bring your expertise to early conversations. Join Practice Directors and account teams when a customer has a specific need in strategy and economics.
WHAT YOU HAVE
- 10+ years of experience, including significant time shaping strategy, pricing or operating decisions: for example in a law firm's strategy, pricing or practice management team, in legal operations, external counsel or law firm management, or as chief of staff to a general counsel. Experience in a legal-sector consulting practice is a strong plus.
- Deep fluency in legal economics. For law firms: leverage, practice-group and matter profitability, pricing and fee structures. For legal departments: cost-center dynamics, outside-counsel spend and how the value of legal work is measured.
- A track record of advising senior legal leaders through high-stakes decisions, with the presence to hold a room that includes finance.
- A clear point of view on how AI will change the business of law, grounded in how the economics actually move.
- Evidence that you have built frameworks or methods that others adopted and kept using.
- The judgment to discuss efficiency in a way that builds support for change rather than fear about displacement.
- Energy for building something new while the playbook is still being written.
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-LL1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: Poland; Portugal; Spain
Workplace: remote
We are looking for an experienced Network Security Engineer to join the Cybersecurity team and help maintain and improve network security across enterprise, on-premises, hybrid, and cloud environments. The primary focus of this role is to provide overnight coverage for the US team, handle production issues and critical incidents, and support day-to-day network security operations. The ideal candidate is a seasoned engineer with strong hands-on Palo Alto experience, excellent troubleshooting skills, and the ability to work independently in a production environment. This role offers opportunities to expand into security analytics, cloud security, AI security, and broader cybersecurity projects over time. Measures of Success Provides reliable overnight network security coverage for the US team. Responds effectively to P1 incidents, production issues, and security-related requests. Maintains and improves network security controls and firewall policies. Resolves tickets efficiently and minimizes operational disruption. Works independently with minimal onboarding and training requirements. Contributes to security projects and broader cybersecurity initiatives over time.
Location: Bengaluru, India
We are looking for a Senior Technical Program Manager to lead the end-to-end delivery. The role requires a strategic leader who can manage multiple parallel workstreams, navigate a complex multi-vendor stakeholder landscape, and manage high-level C-suite expectations around AI-driven efficiency. You will coordinate closely across internal delivery teams, client product owners, CloudOps, and third-party integration partners.
This position is intended for Hyderabad-based candidates who are available to work from the office.
Establish and run the program governance model, including meeting cadence, escalation paths, RACI, and a decision-making framework across two parallel delivery tracks.
Own the program roadmap, milestone tracking, dependency management, and critical path analysis across foundation, domain migration, and integration workstreams.
Manage SAFe delivery execution, including PI planning, sprint cadence, phase gates, and production cutover processes with formal client sign-off.
Provide structured reporting at multiple levels, including weekly operational status for the delivery team, bi weekly updates for client engineering leadership, and monthly executive dashboards for the CIO.
Track and report AI efficiency metrics, including code generation, test generation, and SDLC automation, as key program KPIs expected by the client executive sponsor.
Facilitate cross-team coordination between the modernization program, the operations team, and client infrastructure teams, including CloudOps and DevOps, responsible for environment provisioning and legacy decommissioning.
Navigate dependencies with third-party integration partners, including Salesforce, NetSuite, BigCommerce, and others, where sandbox access and API contract timelines are outside direct control.
Manage the commercial cadence of the engagement, including bi-monthly payment tracking, burn rate forecasting, and preparation of the re-estimation checkpoint that determines the scope and pricing of the second SOW.
Drive risk management through proactive identification, transparent communication, and data-driven escalation, ensuring that risks inform decision-making rather than only being tracked.
Coordinate the team ramp-up plan, including onboarding of new engineers, transition of BAU resources to modernization pods, and knowledge transfer from legacy platform SMEs.
7+ years of program and project delivery experience in complex, multi-track environments with distributed teams.
Proven experience managing platform modernization or legacy migration programs, including monolith to microservices, cloud migration, strangler fig, or similar patterns.
Strong understanding of SAFe or equivalent scaled Agile frameworks, including PI planning, sprint execution, and formal phase gate processes.
Experience managing fixed-price engagements with non-milestone-based payment schedules, including burn rate tracking and forecast-to-completion analysis.
Demonstrated ability to manage C-level stakeholder relationships, tailor communication to different audiences, and build executive confidence through metrics-driven reporting.
Experience coordinating multiple delivery pods running in parallel with independent backlogs but shared infrastructure and governance.
Strong technical awareness, including understanding of microservices, API gateways, CI CD pipelines, cloud infrastructure with AWS preferred, and data migration concepts sufficient to identify risks and ask the right questions.
Emotional maturity and high emotional intelligence in managing cross-functional teams, resolving technical disagreements, and navigating competing priorities among client stakeholders.
Experience working alongside or managing vendor relationships in multi-vendor environments.
Experience with AI-assisted development tools or SDLC automation, including AI code generation, test generation, or agentic workflows.
Familiarity with Kong API Gateway, event-driven architectures, or domain-driven design.
Knowledge of compliance and regulatory standards relevant to financial services, including GDPR, data retention, and audit trail requirements.
Experience in financial services, professional certification, or EdTech organizations.
Location: Canada; Australia; Taiwan; United Kingdom
About the company
Pixelogic Media Partners, LLC, a subsidiary of the IMAGICA GROUP, is a global provider of content localization and distribution services for the media and entertainment industry. Built on advanced next generation workflows and operations in Burbank, Culver City, London, Cairo and Cape Town, Pixelogic services the industry’s leading content owners including the major Hollywood studios, broadcasters and digital platforms.
Pixelogic Media provides technology solutions to the entertainment industry. We are responsible for helping Hollywood Studios and content owners to get their content to global audiences by providing all language services including scripting, subtitling, access services and dubbing. Our products and services span the digital spectrum, from enhanced extras packages promoting digital purchase to physical disc authoring.
Our clients include major Hollywood studios and dozens of independent studios. To date, we’ve delivered thousands of titles to iTunes, Google, Netflix, Amazon, and others. We’ve created a large percentage of iTunes Extras titles available on the App Store, developed the specification of and delivered the first Cross-Platform Extras titles, authored more than eight-thousand DVDs, two-thousand Blu-rays, as well as award-winning tablet and mobile apps.
About the role
Due to increased demand for localized content in the APAC region, Pixelogic is seeking experienced freelance Japanese-to-Traditional Chinese (Taiwan) subtitling translators to join our linguist network and support upcoming projects.
The ideal candidate will be highly motivated, possess a flexible attitude, and adapt quickly in a fast-paced environment. In addition, they must be able to work as part of a team that deals with changing priorities and workloads.
Due to the sensitive nature of the delivery schedule, time flexibility is of paramount importance.
Requirements
Responsibilities
Translate
Japanese
audiovisual content into accurate, natural
Traditional Chinese (Taiwan)
subtitles using Pixelogic’s proprietary cloud-based subtitling software.
Follow client-specific style guides and technical specifications.
Use in-house glossary tools to maintain terminology consistency across projects.
Review and correct translation, linguistic, and formatting errors in assigned subtitle files.
Meet project deadlines while maintaining translation quality and accuracy.
Maintain the confidentiality of sensitive content and project information.
Requirements:
Native or near-native proficiency in Traditional Chinese (Taiwan).
Advanced or native-level proficiency in Japanese, including strong comprehension of spoken Japanese.
Good working proficiency in English, with the ability to understand written instructions, communicate professionally via email, and use English-language tools and platforms.
Strong understanding of Japanese and Taiwanese cultural nuances, idioms, and expressions.
Excellent Traditional Chinese writing skills, including grammar, punctuation, vocabulary, and natural subtitle phrasing.
Minimum of 2 years of professional subtitling translation experience.
Strong attention to detail, accuracy, and consistency.
Ability to follow client-specific technical specifications and style guides.
Ability to meet tight deadlines and accommodate flexible working hours when required.
Location: Poland; Georgia; Kazakhstan; Indonesia
As a Data Analyst in the Business Analytics team, you’ll be the dedicated analyst for our B2B commercial direction. You’ll work as an independent contributor, side by side with the commercial team. You’ll find growth opportunities in the data, form and test hypotheses, and measure the impact of business initiatives that are not product features. Your first projects will be supporting and developing our pricing override and cost modifier processes, designing experiments around the credit limits we give B2B partners to help grow their booking volumes, and evaluating the financial and customer impact of opening local legal entities in new markets. A/B testing alone often isn’t enough here, so you’ll choose and apply other methods, such as difference-in-differences or causal impact. There is no ready-made playbook. You’ll set your own approach, and project managers on both sides will help you run the work. The role suits a self-driven analyst who wants real ownership and visible impact on commercial decisions, and it can grow as the direction expands.
Requirements
2+ years of experience in business, data or product analytics.
Strong SQL, including writing efficient, fast-running queries.
Confident Python and its data libraries: Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn and others.
Hands-on experience with difference-in-differences.
Experience with causal inference methods: Causal Impact, Propensity Score Matching and similar.
Solid knowledge of statistics and experience designing and running A/B tests and other experiments.
Ability to dive deep into business processes, solve non-standard problems and work independently.
Fluent Russian and English B2.
Nice to have
Experience with time series forecasting (Prophet, ARIMA, Exponential Smoothing or similar).
Experience in B2B, commercial or partner analytics.
Experience onboarding or mentoring junior colleagues.
Hands-on use of AI tools, such as Copilot or agents, to speed up your work.
Benefits
Flexible schedules and opportunity to work remotely.
Ambitious and supportive team who love what they do, appreciate each other, and grow together.
A structured onboarding, a personal development plan, and regular internal lectures and demos from the team.
Internal programs for adaptation and training, development of soft skills, and leadership abilities.
Partial compensation for participating in external training and conferences.
Corporate English school: Group and individual lessons, speaking clubs with colleagues from all over the world.
Corporate prices on hotels and travel services.
MyTime Day Off - an extra non-working day without loss of compensation.
Location: Ukraine; Armenia; Georgia; Moldova
Intetics Inc., a leading American technology company specializing in custom software application development, distributed professional teams creation, software product quality assessment, and “all-things-digital” solutions, is looking for a
Technical Expert – Microsoft Power Platform
to support our recruitment process by conducting technical interviews and assessing candidates’ expertise.
Responsibilities:
Conduct technical interviews with candidates for Middle/Senior Power Platform Specialist positions.
Assess candidates’ practical knowledge and hands-on experience with Microsoft Power Apps, Power Automate, and SharePoint Lists.
Evaluate candidates’ understanding of the Microsoft 365 ecosystem, integrations, security, and Power Platform governance.
Ask relevant technical questions and assess candidates’ approaches to problem-solving and real-world scenarios.
Evaluate candidates’ ability to analyse business requirements and translate them into technical solutions.
Provide structured and objective feedback on candidates’ technical skills, experience, and suitability for the role.
Collaborate with the recruitment team to align interview criteria with project requirements.
Help refine technical interview questions and assessment guidelines when necessary.
Requirements
3+ years of hands-on experience with Microsoft Power Platform, particularly Power Apps and Power Automate.
Strong practical knowledge of SharePoint Lists and their use in business applications.
Good understanding of the Microsoft 365 ecosystem, integrations, security, and Power Platform governance.
Experience designing, developing, troubleshooting, and maintaining Power Platform solutions.
Ability to assess technical knowledge, identify skill gaps, and distinguish theoretical understanding from practical experience.
Strong communication skills and the ability to explain technical concepts clearly.
Ability to provide clear, structured, and objective feedback in English.
Would be a plus
Previous experience conducting technical interviews or mentoring developers.
Experience with Power BI.
Experience working in distributed or international teams.
Location: Dubai, United Arab Emirates
Mira Construction L.L.C is seeking a qualified and experienced
Plumbing Engineer
to join our team. The successful candidate will be responsible for the design, coordination, and supervision of plumbing systems in various construction projects, ensuring compliance with relevant standards and regulations.
Key Responsibilities:
Design, develop, and review plumbing systems including water supply, drainage, stormwater, and sewage disposal systems.
Prepare detailed shop drawings, plans, and specifications for plumbing systems.
Coordinate with architects, structural engineers, and other MEP engineers to ensure integration of plumbing systems.
Conduct site inspections to ensure plumbing installations conform to design specifications and quality standards.
Ensure compliance with local codes, regulations (such as Dubai Municipality standards), and best industry practices.
Resolve technical issues and provide solutions during the construction phase.
Collaborate with contractors and suppliers regarding materials and equipment.
Prepare reports and technical documentation related to plumbing systems.
Requirements
Bachelor's degree in Mechanical Engineering, Civil Engineering or related field.
Minimum 3-5 years of experience specifically in plumbing design and engineering in construction projects in UAE.
Strong knowledge of plumbing codes, standards, and regulations (e.g., Dubai Municipality, NFPA).
Proficiency in AutoCAD and Revit for plumbing design.
Experience with plumbing calculation software and hydraulic modeling is preferred.
Ability to read and interpret architectural and engineering drawings.
Good communication and coordination skills.
Ability to work on-site and manage multiple projects simultaneously.
Benefits
Competitive salary.
Official UAE employment status.
Comprehensive medical insurance coverage.
Location: Salalah, Oman
International Group Coordinator
Format: Remote + on-site support as needed
Frequency: A new group every 3 days
About the Role
We organise regular tours for brokers to Salala and are looking for a Coordinator to fully manage groups of 10–15 people - from pre-trip preparations to sending guests back home. A new group arrives every three days, and your mission is to ensure every guest leaves with a warm, comfortable impression of the trip, while handling all organisational matters swiftly and stress-free for them.
Key Responsibilities
Data Management: Collecting and processing guest data (passport details, contacts, special preferences).
Bookings: Managing flight and hotel reservations.
Communication: Managing group chats: welcoming guests, providing schedule updates, and answering questions.
Logistics: Coordinating with drivers and managing daily transfers.
On-Site Management: Overseeing group meet-ups and departures according to the itinerary.
Crisis Management: Handling emergencies and unexpected situations: calling an ambulance, managing flight rescheduling, arranging late hotel check-outs, and resolving other force major events.
Atmosphere: Cultivating a friendly, hospitable, and comfortable environment throughout the entire trip.
Work Format
Constant daily presence with the group is not required. Typically, the coordinator meets the group in person on arrival day (for introductions) and on departure day. On intermediate days, you will drop by in the morning to gather the group and send them off for their daily itinerary. However, it is vital to remain constantly available online, respond promptly, and be ready to arrive in person immediately if an urgent need arises.
Requirements
Personal vehicle and valid driving license.
Fluent English proficiency.
High level of accountability, responsibility, and self-reliance.
Excellent communication skills, friendliness, and an approachable personality.
High stress tolerance and the ability to make quick decisions in unpredictable situations.
Readiness to work a flexible schedule and react quickly to incoming requests.
Advantage: Deep knowledge of the region and an existing network of local contacts (drivers, medical facilities, hotels).
Advantage: Prior experience in tourism, hospitality, or group coordination.
Benefits
Consistent workload.
Flexible format: Primary operations are handled online, with on-site visits scheduled around arrivals, departures, and emergencies.
Competitive salary.
Well-know company across the region.
Salalah, Oman
ГибридГеография найма не уточнена
San Francisco; Remote (United States); Seattle; New York City
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