We are seeking a Senior DevOps Engineer to join a global fintech organization, working remotely within UTC+2 to UTC+4 time zones. The role involves developing and managing existing infrastructure and CI/CD pipelines utilizing GitLab CI and ArgoCD, supporting application deployments across testing and production stages, and implementing monitoring and logging systems to assist in incident analysis. Candidates should have over seven years of experience in DevOps, with strong practical skills in AWS SDK, Kubernetes, Docker, and Terraform. Familiarity with Helm, GitOps, and monitoring solutions is required, along with solid knowledge of Linux, networking, and scripting in Shell or Python. Proficiency in English at the C1 level is necessary. Additional experience in DevSecOps, Ansible, or Go is considered advantageous.
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-В первую очередь ищем сильного человека на усиление команды DE, поэтому фокус на разработку и оптимизацию текущих ключевых регламентных процессов. -50% времени - реализация задач по развитию DWH (анализ, разработка объектов DWH, dbt-моделей, потоков данных).
Location: Tel Aviv
As a Data Engineer, you will play a key role in shaping and driving our analytics data pipelines and solutions to empower business insights and decisions. Collaborating with a variety of stakeholders, you will design, develop, and optimize scalable, high-performance data analytics infrastructures using modern tools and technologies. Your work will ensure data is accurate, timely, and actionable for critical decision-making.
Our data platform is built on Snowflake as the analytics warehouse, with Airflow orchestrating our SQL and Python pipelines. We ingest data through Fivetran and S3-based Snowpipe, manage our infrastructure as code with Terraform on AWS, and monitor data quality with Monte Carlo and Snowflake native DQ. AI is part of how we work: we use Claude to speed up development, validation, and on-call triage across the stack.
Key Responsibilities:
Lead the design, development, and maintenance of robust data pipelines and ETL processes, handling diverse structured and unstructured data sources..
Collaborate with data analysts, data scientists, product engineers and product managers to deliver impactful data solutions..
Architect and maintain the infrastructure for ingesting, processing, and managing data in the analytics data warehouse..
Develop and optimize analytics-oriented data models to support business decision-making..
Champion data quality, consistency, and governance across the analytics layer..
Qualifications:
3+ years of experience as a Data Engineer or in a similar role..
Expertise in SQL and proficiency in Python for data engineering tasks..
Proven experience designing and implementing analytics-focused data models and warehouses..
Hands-on experience with data pipelines and ETL/ELT frameworks (e.g. Airflow, DBT, etc.)..
Strong experience with cloud data services (e.g., AWS, GCP, Azure)..
AI proficiency: hands-on experience using AI coding assistants such as Claude as part of your daily engineering workflow. You will use them to explore code, build and validate pipeline changes, triage incidents, and open pull requests. You know how to guide AI effectively, review its output critically, and own the quality of what ships..
A deep passion for data and a strong analytical mindset with attention to detail.
Bonus points:
Strong understanding of business metrics and how to translate data into actionable insights.
Familiarity with data governance and data quality best practices.
Excellent communication skills to work with cross-functional teams including data analysts, data scientists, and product managers.
Familiarity with Terraform and infrastructure-as-code practices.
What your day might look like:
Leading the design and implementation of scalable data pipelines to support analytical workloads..
Collaborating with stakeholders to gather requirements, propose solutions, and align on data strategies..
Writing and optimizing ETL processes to ensure seamless integration of new data sources..
Designing analytics-focused data modeling solutions tailored for strategic decision-making..
Troubleshooting data issues and implementing measures to improve system reliability and accuracy..
Sharing knowledge and mentoring team members to promote a culture of learning and excellence.
This is an opportunity to make a significant impact by enabling data-driven decision-making at scale while growing your career in a dynamic, collaborative environment.
About the Engineering department:
The Engineering department is the backbone of Melio. We build, scale, and maintain the technical infrastructure that processes over $100B in annual payments for small businesses nationwide.
Following our acquisition by Xero, we’re tackling an even more exciting challenge: integrating Melio’s payment platform with Xero’s accounting software to create a unified financial ecosystem. This means building robust, scalable systems that seamlessly connect two powerful platforms while maintaining the security and reliability that financial services demand.
Our Stack:
We're all-in on AWS Serverless—meaning fully managed infrastructure that lets us build and scale faster than ever. We use TypeScript and Python for consistency, combining relational and document databases, and deploy via SAM CLI built on CloudFormation. Serverless gives us the agility to innovate rapidly while maintaining enterprise-grade reliability.
As part of our engineering team, you'll work on problems that matter: real-time payment processing, fraud prevention, API integrations, data synchronization, and user experience optimization. You'll have the autonomy to make architectural decisions, the support of a world-class team, and the satisfaction of seeing your code impact millions of small businesses.
If you're ready to build systems that scale, solve hard problems, and help small businesses thrive, we want to talk to you.
Read more about our Engineering department on our
tech blog
.
About Melio:
Melio, a Xero company, is revolutionizing how small businesses handle payments. By combining Melio’s best-in-class bill pay platform with Xero’s global accounting expertise, we’re building the ultimate financial command center for American small businesses. We’re the fastest-growing B2B payment solution in the US—but we’re still small enough that you can make real, visible impact as we scale to reach millions more businesses.
Ищем DevOps-инженера, который готов брать инфраструктуру целиком — от покупки железа и настройки VPS до hardening, VPN и стабильного production-деплоя. Нам нужен не человек в формате «настроил CI и забыл», а инженер, который понимает, как устроены серверы, сеть, безопасность и production, и готов отвечать за инфраструктуру системно.
Location: Remote; United States; Poland; United Kingdom; Bulgaria
Workplace: Remote
ABOUT ELEVENLABS
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.
We have expanded from voice into three main platforms:
- ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
- ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
- ElevenAPI gives developers access to our leading AI audio foundational models.
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.
HOW WE WORK
- High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
- Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.
- AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.
- Excellence everywhere: Everything we do should match the quality of our AI models.
- Global team: We prioritize your talent, not your location.
WHAT WE OFFER
- Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
- Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
- Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy.
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
About the role
You’ll build the tools that make Studio a video editor people want to live in. These include transitions, color grading and elements libraries all built on top of our in-house engine. You’ll also build presets, so a user can get the effect they want without tweaking 20 individual controls.
The work mixes greenfield features with polish on the existing editor. An example of the polish is letting editors coming from Premiere Pro or Final Cut Pro rebind their keyboard shortcuts in one step. You’ll write proposals, get fast feedback, and own features through launch, including the marketing moment.
You’re a product-minded, frontend-leaning full-stack engineer. Deep backend skills aren’t required.
Requirements
- Strong frontend engineer who has built complex, interactive UIs.
- Enough full-stack ability to work across the stack, but deep backend expertise isn’t needed.
- Evidence of product responsibility: side projects, open source, or product-facing work.
- Thrives in a fast-moving, startup-style environment, and takes ownership with minimal hand-holding.
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Lead a team of 3-4 engineers and take responsibility for its effectiveness, technical quality, and delivery. Work closely with your Product Manager to understand customer problems, shape solutions, scope projects, and set priorities.
ГибридseniorENGINEERING MANAGER | RELOCATION TO GERMANY / BERLIN | SUPERCHAT #relocation to #berlin #fulltime #itjob #manager #techlead https://teletype.in/@remoteit/v2KfhkMG92D; RELOCATION TO BERLIN THEN HYBRID | SUPERCHAT At Superchat, we're rebuilding how businesses talk to their customers; We support you with practical relocation help
Location: Remote
Workplace: Remote
Remote | UTC+8 | Core collaboration hours: 12:00–19:00 Manila Time
Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines.
7M+ app downloads. 2M+ monthly active users. 7000+ partner stores. US$350M+ raised from top-tier investors.
Here, you get real ownership from day one, high standards, and direct communication. You'll work alongside a team that combines deep local knowledge and experience scaling regulated financial companies from scratch.
If you want to solve complex problems at scale and directly impact how millions of people access and manage money, come build with us.
Southeast Asia's fintech moment starts here.
About the role
You'll own quality across our mobile apps, web applications and backend services for Micro, Small and Medium Enterprises (MSMEs). You'll work directly with engineers and product managers to ship features that businesses depend on to run their operations every day.
What you'll do
- Work directly with Developers and Product Managers across the release cycle, testing features before they reach customers making real financial decisions.
- Test the business mobile app and its underlying APIs, catching issues across browsers, devices, and environments.
- Write and maintain detailed test cases, and help the team lay the groundwork for automated testing.
What you'll own
- Design, execute, and maintain manual test cases for the business mobile app.
- Run end-to-end and regression testing across releases and product updates.
- Test APIs directly (e.g. via Postman) and validate behavior beyond the UI.
- Debug issues using browser DevTools and communicate findings clearly to developers.
- Cover testing across browsers and devices to catch environment-specific bugs.
- Write and maintain automated tests in Kotlin as coverage expands.
- Contribute to integrating tests into CI/CD workflows as the team builds toward automation.
What makes you a strong fit
- 3+ years in QA or software testing with strong mobile product experience
- Solid understanding of mobile-specific behavior: app lifecycle, push notifications, deeplinks, permissions, device matrix, and network conditions
- Experience testing REST APIs and backend-driven product flows
- Ability to read and write basic code or scripts in at least one language: Kotlin, Swift, Java, Python, JavaScript, TypeScript, or similar
- Understanding of automated test structure, flaky tests, test data, and CI test runs
- Strong bug investigation skills: logs, crash reports, reproduction steps, severity, and root cause hypotheses
What we offer
Ownership and flexibility
- Stock option plan — four-year vesting with a 25% cliff after the first year
- Fully remote work with core collaboration hours from 12:00 to 19:00 Manila time (UTC+8)
- Company-provided tools and equipment
Health and time off
- Medical insurance for you and your family, starting day one
- Access to an internal mental health support specialist
- 22 vacation days, Philippine public holidays, and 15 sick days
Growth and team experience
- Opportunities to learn and share your expertise through internal expert meetups, external conferences, and industry publications
- Regular offsites, sports, and team events across Southeast Asia
- High-performing teams can earn a dedicated beach house week in Southeast Asia
We believe strong teams are built by people with different backgrounds, experiences, and points of view. Salmon is an equal opportunity employer, and we make hiring decisions based on skills, experience, and potential.
Location: Toronto; San Francisco; Canada; United States; New York; Ottawa; Montreal
Workplace: Hybrid
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
WHY THIS ROLE?
We’re building the foundational infrastructure that will define how the world thinks about and deploys AI, and we want the sharpest, most driven, and most curious people to help us do it. As the head of the Data Foundation pillar of our Analytics and Data Insights team, you’ll lead the team that makes Cohere’s data trustworthy, governed, and available: the warehouse every analytics surface runs on, the pipelines that keep it fresh, the access model that keeps it secure, and the agentic analytics layer that lets anyone at Cohere (and their agents) ask questions of governed data directly.
Your team owns the full data lifecycle. You’ll run ingestion into BigQuery from internal and external data sources, orchestrate it in Airflow and Cloud Run, model the data warehouse in dbt, and serve the results through Looker, export APIs, and customer-facing analytics surfaces. Everything is provisioned as code in Terraform, and governance is part of the design: VPC service controls, IAM patterns, and documented access paths that let people and agents move fast without putting data at risk.
This role is both highly visible and highly impactful, and you’ll inherit a solid structure on which to build the rest of the stack: a Terraform-provisioned warehouse framework, dbt modeling conventions, an alerting and incident-response practice, and documentation patterns to keep everything discoverable. The roadmap is set with big bets in flight: scaling that framework across the company, standing up an internal analytics agent with a real eval harness, and consolidating institutional knowledge into a self-correcting and self-maintaining system that keeps context centralized, current, and documented, rather than dispersed and in people’s heads.
Responsibilities
As the head of the Data Foundation pillar, you will:
- Build and lead the team. Hire and grow a team of data and infrastructure engineers; set the technical bar; develop strong talent and raise team performance, building leadership capability beneath you.
- Set the roadmap from company strategy. Own and sequence the Data Foundation roadmap: the warehouse buildout, the agentic analytics program, data governance, and the platform work that unblocks our other pillars. You’ll make the trade-offs and carry the cross-functional impact that comes with them.
- Own the data platform end to end. Ingestion (managed connectors and an open-source connector framework), orchestration on Airflow and Cloud Run, warehouse modeling in BigQuery with dbt (raw, core, mart layers), and serving through Looker, export APIs, and semantic layers. All of it provisioned as code in Terraform.
- Own data governance. Define how humans, service accounts, and agents get access to governed data: VPC service controls, IAM patterns, documented onboarding paths, audit logs, and sensitive requests (including legal holds) handled to deadline.
- Operate for reliability. Run the alerting and anomaly-detection framework, own data freshness SLAs, lead incident response and postmortems, and turn every incident into a durable standard so the same class of failure doesn’t recur.
- Lead the agentic analytics program. Wire the semantic layer into an internal analytics agent, build the eval harness that measures its accuracy, and make the eval-driven call on where AI earns its way into production. Apply the same discipline to automating data engineering work itself.
- Set the standard for analytics across the company. The medallion framework, naming conventions, and testing patterns your team maintains become the way other teams ship analytics data. You’ll onboard new domains onto it and keep the docs accurate to how the systems actually work.
- Partner across the org. Work with the North product and engineering teams on the analytics surfaces that ship in the product (including a customer-facing analytics export), with Business Insights on marts for the business, with Security on data governance, and with Legal on compliance-critical data requests.
QUALIFICATIONS
You may be a good fit, if you have:
- 10+ years of experience across data engineering, data infrastructure, or analytics platform work, with a strong management track record leading data platform or infrastructure teams
- Serious hands-on history in data engineering or infrastructure before management. You can still read a Terraform plan, a dbt DAG, or an Airflow scheduler log and ask the question that matters
- Production experience with cloud data warehouses (BigQuery, Snowflake, or similar), workflow orchestration (Airflow or similar), and infrastructure as code (Terraform or similar)
- Depth in data modeling: you think in fact and dimension tables, raw/core/mart separation, and semantic layers, and you have opinions on where tests and contracts belong
- A record of setting a team’s roadmap from company or function strategy and delivering outcomes that span teams, with the cross-functional partnerships to match
- Operational excellence you can point to: alerting you trust, SLAs you meet, incidents you run to ground and write up so they teach
- Exposure to data security and governance: IAM, access management, VPC service controls or equivalent, audit and compliance workflows
- Genuine excitement about AI: you follow the research, have opinions, and are energized by building the data foundation an AI company (and its AI agents) runs on
- Comfort operating in ambiguity, leading a multi-workstream roadmap, and working directly with executives on priorities
If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
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Обязанности:
• Проведение функционального и интеграционного тестирования информационных систем.
• Тестирование API и клиент-серверных взаимодействий.
• Проверка корректности формирования налоговой и аналитической отчётности.
Требования:
• Опыт ручного тестирования от 2 лет.
• Уверенное знание SQL.
• Опыт работы с PostgreSQL.
• Понимание принципов клиент-серверной архитектуры.
• Коммерческий опыт в QA мобильных игр или Unity-проектов от 2 лет. • Практический опыт автоматизации в коммерческом проекте.
УдалённоМожно работать из любой страны
Tel Aviv
УдалённоRemote; United States; Poland; United Kingdom; Bulgaria
УдалённоRemote | UTC+8 | Core collaboration hours: 12:00–19:00 Manila Time; Fully remote work with core collaboration hours from 12:00 to 19:00 Manila time (UTC+8)
ГибридseniorToronto; San Francisco; Canada; United States; New York; Ottawa; Montreal; We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities