What are we looking for?

We are seeking a highly skilled and experienced Senior DevOps/Cloud Engineer/SRE with 7+ years of experience to become an integral part of our dynamic DevOps platform team. In this role, you will be instrumental in supporting cutting-edge AI SaaS and PaaS solutions.

Please note: This position may require participation in an on-call support rotation in the future.

Requirements

To be successful in this role, you should possess the following qualifications and skills:

Technical Skills:

• Education: A Bachelor's degree in Computer Science or a related field, or equivalent education and experience equating to the US equivalent of a bachelor’s degree.
• SDLC & CI/CD: 5+ years of experience with Software Development Lifecycle (SDLC) methodologies and CI/CD technologies, including hands-on expertise with at least two different CI/CD ecosystems. Optional: We also value experience with MLOps practices and their integration into CI/CD pipelines.
• Software Engineering: 3+ years of experience as a Software Engineer, with a preference for backend development experience. Nice to have: Experience with Temporal workflows.
• Networking & Operating Systems: Strong knowledge of networking principles and robust experience with Operating System concepts, backed by 5+ years of hands-on Linux administration.
• Cloud Platforms: 5+ years of in-depth experience with AWS (highly preferred) and/or GCP. Highly desired to have certifications in AWS or GCP.
• Infrastructure as Code (IaC): 5+ years of experience with IaC tools, primarily Terraform.
• Kubernetes: 5+ years of experience managing Kubernetes clusters, including practical experience with at least one cloud-managed service (e.g., EKS, GKE, AKS).
• Database Management: Strong experience with PostgreSQL.
• Troubleshooting: Proven ability to effectively troubleshoot issues across code, cloud infrastructure, networks, and operating systems.

Observability: 5+ years of experience working with observability tools, defining SLOs, designing alerts, dashboards and escalation chains.

• AI-Specific Technologies (Preferred): Given our focus on AI solutions, experience with MLOps, Nvidia NIM and relevant Nvidia certifications would be a significant asset.

Essential Non-Technical Skills:

• Requirements Elicitation: Ability to effectively gather and understand project requirements.
• Collaboration & Resilience: A highly collaborative team player with a resilient and proactive mindset.
• Organisational & Communication Skills: Self-organiSed with the ability to structure discussions effectively, ensuring focus and clarity.
• Documentation: Meticulous and thorough in creating clear, comprehensive documentation.
• Problem Solving: Adept at breaking down complex problems into manageable sub-tasks and defining actionable next steps.

At Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.  

#LI-FP1

Asana’s rapid growth brings new challenges in keeping our systems fast, reliable, and resilient. As our product evolves, we’re making a major investment in reliability – and building a brand new SRE team in Warsaw is a key part of that strategy. This is your chance to help shape it from day one.

This isn’t a traditional “ops” role – we’re looking for strong software engineers who are passionate about building reliable, distributed systems. You’ll work closely with a small SRE team in San Francisco, infrastructure engineers in Reykjavik, and an established infrastructure team in Warsaw. Warsaw will be a significant hub for our future infrastructure engineering and operations. As one of the first engineers here, you’ll have a real say in how we build reliable infrastructure, manage incidents, and support the rest of the company.

This role is based in our Warsaw office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements.

We offer a Contract of Employment (UoP) for our employees in Poland.

What you’ll achieve

• Influence the future of Asana’s SRE practice, especially as we grow the Warsaw team.
• Lead reliability-focused projects across our stack – from infrastructure to tooling to incident response.
• Define and implement Asana’s incident management process – we’re investing here, and you’ll help shape how it works.
• Build internal platforms and frameworks that help other teams improve the reliability of their services.
• Be part of (and help shape) a sustainable on-call rotation – shared across teams in Warsaw, San Francisco, and Reykjavik. On average, we handle ~1 page per day, but it’s not constant, and we care about keeping things sane.
• Work with our stack: AWS, Kubernetes (EKS), Datadog, MySQL (RDS), ElasticSearch (OpenSearch), Redis, DynamoDB, Terraform, TypeScript, Scala, Go, and Python. (Yeah, we know this sounds like buzzword bingo – but we want this post to actually show up in your searches.)

About you

• You’re a strong and experienced software engineer who’s comfortable writing and reading code – this isn’t an ops role.
• You care about reliability, scalability, and long-term maintainability, not just quick fixes.
• You might have worked as an SRE before – or maybe you were a product engineer who kept getting pulled into infra work because you cared about how systems actually run.
• You’ve seen systems at scale (or want to), and you’re excited about solving infrastructure problems that have broad impact.
• You’re curious, take initiative, and aren’t afraid to work in ambiguous spaces – especially important on a brand new team.
• You collaborate well across teams and want to help others build more reliable systems.
• You don’t need to know our exact stack, but you’re eager to learn whatever it takes to make things better.
• You demonstrate curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.

Why this role?

• Founding team: You’ll be one of the first SREs in Warsaw – and a key player in a growing team.
• Drive real change: This isn’t a role where you’ll just patch up legacy systems. We are expecting (and supporting) real architectural changes to improve reliability, scalability, and long-term operability.
• Big impact: Our product is scaling fast, and reliability is a top company priority.
• Room to grow: As this team grows, so will your influence – whether you want to lead projects, mentor others, or help shape how we scale.
• Global collaboration: Work closely with experienced engineers in San Francisco, Reykjavik, and Warsaw, while helping build the future of SRE at Asana.

What we'll offer

• Generous, transparent and fair compensation system (base salary and generous Restricted Stock Unit for Asana Inc.).
• Contract of Employment (with 50% tax deductible costs for author’s rights usage for Engineers).
• Health insurance with dental and travel coverage (Lux Med).
• Lunch catering on the days that you work from the office.
• Career growth budget.
• Home office setup budget.
• Gym/Fitness reimbursement.
• Fertility healthcare and family-forming support with Carrot.
• Mental health support in Modern Health.
• Group life insurance.
• MacBooks with all necessary accessories.

For this role, the estimated base salary range is between 23 000 and  33 000 PLN gross monthly on the contract of employment (UoP). The actual base salary will vary based on various factors and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base compensation range for this role may be modified.

Our total compensation consists of base salary and equity (RSUs).

#LI-Hybrid #LI-AZ

We're looking for a Tech Lead to own technical direction for Asana's Platform Reliability Engineering team. This role is for someone who thrives as a technical leader without needing to take on people management.

At Asana, Tech Leads own technical execution, architecture, and long-term engineering strategy. You'll lead complex projects, make key technical decisions, and set the standard for engineering quality. You'll guide ICs through technical design and project leadership, and partner with teams across the company. An Engineering Manager handles people leadership – you own the technical direction.

Your team will build core platform systems like load shedding, rate limiting, circuit breakers, and traffic controls that protect Asana under real-world load. This is hands-on work – you'll spend significant time designing and building systems alongside the team, while partnering with other platform teams to make reliability something that's built in, not bolted on.

Our tech stack includes: AWS, Kubernetes (EKS), MySQL (RDS), OpenSearch, DynamoDB, Redis, Terraform, Datadog, TypeScript, Scala, Go, and Python. (Yeah, we know this sounds like buzzword bingo – but we want this post to actually show up in your searches.)

We're especially interested in people who think like backend engineers but obsess over failure modes, capacity planning, and building systems that degrade gracefully under pressure.

This role is based in our Warsaw office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements.

We offer a Contract of Employment (UoP) for our employees in Poland.

What You'll Achieve:

• Set technical direction for the team, making sure we're solving the right problems in the right way.
• Design and build core platform systems – load shedding, circuit breakers, rate limiting – that protect Asana at scale.
• Own critical platform concerns like ingress and egress, shaping how traffic flows through our systems.
• Define stable interfaces and libraries that other platform teams build on.
• Lead end-to-end projects, from scoping and design through to rollout, working across multiple platform teams.
• Raise the bar for technical quality through code reviews, design discussions, and technical mentorship.
• Partner with other infrastructure teams to embed reliability into Asana's architecture – not as an afterthought, but as a core design constraint.
• Debug hard problems across the stack. When something breaks in a way that matters, you'll be the person who figures out why and makes sure it doesn't happen again.

About You:

• Strong software engineering background – you're comfortable writing production code and designing systems. We use Go, Python, Scala, and TypeScript, but we care more about engineering fundamentals than specific language experience.
• 8+ years of experience building and operating backend systems at scale.
• Experience leading technical projects and influencing direction across teams.
• You make others around you better – through clarity, feedback, and raising technical standards – even without formal authority.
• Familiarity with distributed systems patterns – you've thought about things like backpressure, graceful degradation, and capacity planning.
• Experience with major cloud platforms (AWS, GCP, or Azure), Terraform, and monitoring tooling like Datadog or similar.
• Experience defining and working within explicit reliability and performance targets for production systems.
• Clear communicator and strong collaborator – you're comfortable navigating trade-offs with other platform and infrastructure teams.
• Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making

Important: This is a software engineering role. If your background is primarily scripting, dashboards, or operational playbooks, this likely isn't a fit.

Why this role?

• Reliability as a first-class feature: You won't be patching things up after the fact. You'll build the systems that make Asana resilient by design.
• Foundational work: Load shedding, traffic management, ingress/egress – these are the building blocks that protect everything else. You'll own the technical direction for all of it.
• Technical leadership without management overhead: You'll shape architecture and raise the bar for quality, while an Engineering Manager handles people leadership.
• Strong collaboration, reasonable hours: You'll work closely with infrastructure teams in Warsaw and Reykjavik, making deep collaboration practical without constant timezone gymnastics.
• Room to grow: As the team's scope expands, so will yours – whether that's deeper technical ownership, broader architectural influence, or mentoring the next generation of engineers.

In this role, success means shipping systems that other teams rely on by default – because they make the platform safer, not because they're mandatory.

What we offer

• Generous, transparent and fair compensation system (base salary and generous Restricted Stock Unit for Asana Inc.) 
• Contract of Employment (with 50% tax deductible costs for author’s rights usage for Engineers) 
• Health insurance with dental and travel coverage (Lux Med) 
• Lunch catering on the days that you work from the office
• Career growth budget 
• Home office setup budget 
• Gym/Fitness card
• Fertility healthcare and family-forming support with Carrot
• Mental health support in Modern Health
• Group life insurance
• Holiday allowance
• MacBooks with all necessary accessories

For this role, the estimated base salary range is between 29000 - 42000 PLN gross monthly on the contract of employment (UoP). The actual base salary will vary based on various factors and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base compensation range for this role may be modified.

Our total compensation consists of base salary and equity (RSUs). 

#LI-Hybrid #LI-KM2

We're looking for a Senior Platform Reliability Engineer who brings strong software engineering skills and a deep understanding of system behavior under load and stress. This role is a good fit for someone who wants to own reliability as a first-class concern – building the foundational systems that protect Asana's platform, not just responding when things go wrong.

You'll build core platform systems like load shedding, rate limiting, circuit breakers, and traffic controls that protect Asana under real-world load. This is deep, cross-cutting work that shapes stability and performance of our entire infrastructure – and you'll partner closely with other platform teams to make reliability something that's built in, not bolted on.

Our tech stack includes: AWS, Kubernetes (EKS), CloudFront, Istio, Cilium,  MySQL (RDS), OpenSearch, DynamoDB, Redis, Terraform, Datadog, TypeScript, Scala, Go, and Python. (Yeah, we know this sounds like buzzword bingo – but we want this post to actually show up in your searches.)

Why this role?

• Reliability as a first-class feature: You won't be patching things up after the fact. You'll build the systems that make Asana resilient by design.
• Foundational work: Load shedding, traffic management, ingress/egress – these are the building blocks that protect everything else. You'll own them.
• Strong collaboration, reasonable hours: You'll work closely with infrastructure teams in Warsaw and Reykjavik, making deep collaboration practical without constant timezone gymnastics.
• Room to grow: This is a new team, and you'll help shape what Platform Reliability Engineering looks like at Asana – whether that means leading projects, mentoring others, or defining our technical direction.

In this role, success means shipping systems that other teams rely on by default – because they make the platform safer, not because they're mandatory.

We're especially interested in people who think like backend engineers but obsess over failure modes, capacity planning, and building systems that degrade gracefully under pressure.

This role is based in our Warsaw office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements.

We offer a Contract of Employment (UoP) for our employees in Poland.

What you'll achieve:

• Design and build core platform systems – load shedding, circuit breakers, rate limiting – that protect Asana at scale.
• Own critical platform concerns like ingress and egress, shaping how traffic flows through our systems.
• Define stable interfaces and libraries that other platform teams build on.
• Lead end-to-end projects, from scoping and design through to rollout, working across multiple platform teams.
• Partner with other infrastructure teams to embed reliability into Asana's architecture – not as an afterthought, but as a core design constraint.
• Debug hard problems across the stack. When something breaks in a way that matters, you'll be the person who figures out why and makes sure it doesn't happen again.
• Share knowledge through code reviews, design discussions, and mentorship.

About you:

• Strong software engineering background – you're comfortable writing production code and designing systems. We use Go, Python, Scala, and TypeScript, but we care more about engineering fundamentals than specific language experience.
• 5+ years of experience building and operating backend systems at scale.
• Familiarity with distributed systems patterns – you've thought about things like backpressure, graceful degradation, and capacity planning.
• Experience with major cloud platforms (AWS, GCP, or Azure), Terraform, and monitoring tooling like Datadog or similar.
• Experience defining and working within explicit reliability and performance targets for production systems.
• Clear communicator and strong collaborator – you're comfortable navigating trade-offs with other platform and infrastructure teams.
• Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making

At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply.

Important: This is a software engineering role. If your background is primarily scripting, dashboards, or operational playbooks, this likely isn't a fit.

What we offer

• Generous, transparent and fair compensation system (base salary and generous Restricted Stock Unit for Asana Inc.) 
• Contract of Employment (with 50% tax deductible costs for author’s rights usage for Engineers) 
• Health insurance with dental and travel coverage (Lux Med) 
• Lunch catering on the days that you work from the office
• Career growth budget 
• Home office setup budget 
• Gym/Fitness card
• Fertility healthcare and family-forming support with Carrot
• Mental health support in Modern Health
• Group life insurance
• Holiday allowance
• MacBooks with all necessary accessories

For this role, the estimated base salary range is between 23k - 32,917 PLN gross monthly on the contract of employment (UoP). The actual base salary will vary based on various factors and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base compensation range for this role may be modified.

Our total compensation consists of base salary and equity (RSUs). 

#LI-Hybrid #LI-KM2

We're looking for a Senior Infrastructure Engineer who brings strong software engineering skills and a deep understanding of production systems. This role is a good fit for someone who enjoys building systems that make infrastructure more scalable, reliable, and easy to operate – using code, not runbooks.

You'll work with a highly collaborative team to design and build the internal platforms that power all of Asana, from product features to AI systems to offline analytics. Our tech stack includes: AWS, Kubernetes (EKS), MySQL (RDS), OpenSearch, DynamoDB, Redis, Terraform, Datadog, TypeScript, Scala, Go, and Python.

We’re especially interested in people who think like backend engineers but care deeply about systems – things like failure modes, operational cost, debuggability, and performance.

This role is based in our Warsaw office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements.

We offer a Contract of Employment (UoP) for our employees in Poland.

What you’ll achieve:

• Design and build frameworks, tools, and services that improve the reliability, observability, and scalability of Asana’s infrastructure.
• Lead end-to-end projects, from scoping and design through to rollout, across multiple systems and teams.
• Improve the operability of stateful infrastructure like MySQL, OpenSearch, and DynamoDB – and help drive Asana’s long-term vision for storage reliability.
• Debug production issues across the stack. Yes, there’s an on-call rotation – but this isn’t a pager monkey role. You’re here to fix things properly and make sure they don’t break again.
• Partner with product teams to shape a service-oriented architecture that enables fast, reliable development.
• Share knowledge through code reviews, design discussions, and mentorship.

About you:

• Strong software engineering background – you’re comfortable writing production code and designing systems (we use Go, Python, Scala, TypeScript).
• 5+ years of experience building and operating backend systems at scale.
• Familiarity with distributed systems and storage technologies (SQL, NoSQL, Search), especially in cloud environments.
• Experience with AWS services (e.g. RDS, EKS, IAM), Terraform, and monitoring tooling like Datadog or similar.
• Solid understanding of SRE principles (e.g. SLIs/SLOs, error budgets, incident response), but you approach reliability as a software problem first.
• Clear communicator and strong collaborator – you're comfortable navigating trade-offs with stakeholders across the stack.
• Important: If you’re only comfortable with scripting, this isn’t the right role. We’re looking for engineers who build and ship real systems.
• Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making

Why this role?

• Founding team: You’ll be one of the first SREs in Warsaw – and a key player in a growing team.
• Drive real change: This isn’t a role where you’ll just patch up legacy systems. We are expecting (and supporting) real architectural changes to improve reliability, scalability, and long-term operability.
• Big impact: Our product is scaling fast, and reliability is a top company priority.
• Room to grow: As this team grows, so will your influence – whether you want to lead projects, mentor others, or help shape how we scale.
• Global collaboration: Work closely with experienced engineers in San Francisco, Reykjavik, and Warsaw, while helping build the future of SRE at Asana.

What we'll offer:

• Generous, transparent and fair compensation system (base salary and generous Restricted Stock Unit for Asana Inc.).
• Contract of Employment (with 50% tax deductible costs for author’s rights usage for Engineers).
• Health insurance with dental and travel coverage (Lux Med).
• Lunch catering on the days that you work from the office.
• Career growth budget.
• Home office setup budget.
• Gym/Fitness reimbursement.
• Fertility healthcare and family-forming support with Carrot.
• Mental health support in Modern Health.
• Group life insurance.
• MacBooks with all necessary accessories.

For this role, the estimated base salary range is between 23 000 and  33 000 PLN gross monthly on the contract of employment (UoP). The actual base salary will vary based on various factors and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base compensation range for this role may be modified.

Our total compensation consists of base salary and equity (RSUs).

#LI-Hybrid #LI-AZ

What You'll Do:

IT Operations at CoreWeave is responsible for delivering a secure, reliable, and scalable technology experience for employees across the company. The team partners closely with Security, Systems Engineering, People Ops, and Engineering to support the full employee lifecycle while continuously improving reliability, automation, and operational maturity.

About the role: 

As an IT Operations Specialist, you will play a key role in supporting and scaling CoreWeave’s internal IT environment. This role blends hands-on end-user and systems support with automation, platform ownership, and process improvement. You will work daily across identity, endpoints, SaaS platforms, and office infrastructure while contributing to repeatable, scalable solutions that support a growing, distributed workforce. This role requires strong technical depth, sound operational judgment, and comfort operating in a fast-moving environment.

Who You Are:

• 4–6 years of progressive experience in IT support or IT operations roles, preferably in cloud-native or high-growth environments.
• Proven experience administering identity and access management platforms (Okta or equivalent), including lifecycle automation and group management.
• Hands-on experience managing macOS and Windows endpoints using MDM platforms such as Jamf and Intune.
• Experience administering ITSM platforms (Freshservice or similar), including ticketing workflows, asset tracking, and automation.
• Strong understanding of user lifecycle management, including onboarding, offboarding, role changes, and device provisioning.
• Experience deploying and supporting VDI environments and end-user workstations.
• Scripting experience in Python, Bash, or PowerShell and familiarity with infrastructure-as-code tools like Terraform.
• Solid understanding of cloud security fundamentals, MFA, device compliance, and endpoint protection.
• Experience creating and maintaining technical documentation for systems and operational procedures.
• Willingness to participate in on-call rotations and provide occasional after-hours support.

Preferred:

• Experience supporting Kubernetes-based or containerized environments.
• Exposure to compliance frameworks such as SOC 2 or ISO 27001.
• Experience integrating SaaS platforms via APIs or automation tooling.
• Knowledge of office network topology, hardware, and physical infrastructure.
• Experience in high-growth startup or scale-up environments.

Wondering if you're a good fit? 

We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk.

• You love to build reliable, repeatable IT systems that scale with the business.
• You're curious about automation, platform ownership, and improving operational efficiency.
• You're an expert in delivering a high-quality end-user experience while strengthening backend systems.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

The base salary range for this role is 226,000 PLN to 302,000 PLN. The starting salary will be determined by job-related knowledge, skills, experience, and the market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

About the Role

The Veeam Quality Assurance team invites you to work on Veeam products with Veeam QA professionals in the Warsaw R&D office.

As a Performance QA Engineer, you will work on large-scale, real-world backup and data protection scenarios used by enterprises worldwide. Your work will directly influence the scalability, reliability, and performance of Veeam products running in some of the most demanding environments.

What You'll Do

• Design and execute performance, load, and scalability testing for major components of Veeam products (from requirement analysis and lab design to test execution and results analysis)
• Build and maintain realistic enterprise grade test environments, including large infrastructures and complex topologies
• Identify performance bottlenecks and system limits, and work closely with developers, functional QA, and product managers to resolve them
• Participate in root cause analysis of performance issues reported by Technical Support and customers
• Own and evolve performance test labs: environment creation, configuration, monitoring, and collaboration with IT teams

What You'll Bring 

• Technical education or a strong, hands on passion for systems and performance
• 1–2 years of experience in performance and/or load testing (or a strong practical background in system performance)
• Ability to analyze test results and clearly identify bottlenecks, limits, and performance risks
• Solid knowledge of Windows and/or Linux at an advanced user or system administration level
• Good understanding of system internals: CPU, memory, storage, networking
• Strong analytical mindset, attention to detail, and structured thinking
• Motivation to grow as a performance and scalability engineer
• English proficiency for daily communication within international teams

Bonus Skills

• Experience with databases (Microsoft SQL Server, PostgreSQL), including profiling and performance analysis
• Scripting, test automation, or infrastructure deployment experience
• Understanding of virtualization platforms and large virtual environments
• Hands on experience with cloud platforms (Azure, AWS, Google Cloud)
• Experience with Python
• Familiarity with Ansible, Terraform, or similar infrastructure as code tools

What You'll Get

• 26 paid days off annually, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Paid parental, maternity, and paternity leave
• Fully covered family medical plan, dental, rehab, and vaccinations
• Life, critical illness, and disability insurance
• Employer pension contribution via PPK
• Monthly Edenred allowance of 450 PLN for meals
• MultiSport card fully covered by Veeam, giving access to sports facilities nationwide
• Up to 12 free therapy sessions annually, plus legal and financial advice
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops and learning events like our annual Global Day of Learning

#LI-YS1

#Hybrid

Why Verifone

For more than 40 years Verifone has established a remarkable record of leadership in the electronic payment technology industry. Verifone has one of the leading electronic payment solutions brands and is one of the largest providers of electronic payment systems worldwide.

Verifone has a diverse, dynamic and fast paced work environment in which employees are focused on results and have opportunities to excel. We take pride in the fact that we work with leading retailers, merchants, banks, and third party partners to invent and deliver innovative payments solution around the world. We strive for excellence in our products and services, and are obsessed with customer happiness. Across the globe, Verifone employees are leading the payments industry through experience, innovation, and an ambitious spirit. Whether it’s developing the next platform of secure payment systems or searching for new ways to bring electronic payments to new markets, the team at Verifone is dedicated to the success of our customers, partners and investors. It is this passion for innovation that drives each one of our employees for personal and professional success.

Verifone is proudly an in-office work culture as we see immense benefits to career development and business results from our colleagues being physically co-located.

What's Exciting About The Role

We are seeking an experienced Senior Network Engineer to support the migration of critical applications from our Cisco-based on-premises data center infrastructure to Amazon Web Services (AWS). This is a high-impact role offering the opportunity to design, implement, and optimize cloud networking solutions while ensuring seamless transition and minimal downtime.

Key Responsibilities:

• Support planning, design, and execution of network infrastructure migration from on-premises Cisco-based systems to AWS cloud environment
• Map existing Cisco network configurations to AWS networking services (VPC, Transit Gateway, Direct Connect, NACLs, etc.)
• Develop and document comprehensive network architecture designs for AWS, including VPC configuration, routing, security groups, and network segmentation
• Configure and optimize AWS networking components including subnets, route tables, load balancers, and network interfaces
• Design and implement network security best practices including encryption, firewalls, DDoS protection, and compliance requirements
• Develop and execute comprehensive testing strategies to validate network performance, redundancy, and failover capabilities
• Identify and resolve network issues, optimize performance, and ensure reliability post-migration
• Create detailed technical documentation, runbooks, and operational procedures for the new AWS network Infrastructure
• Work closely with cloud architects, application teams, security, and infrastructure teams to align migration strategy

Skills and Experience We're Looking For

• MS in Computer Science or equivalent is preferred.
• Juniper, Cisco Professional or Expert certifications.
• 8-10+ years of network experience in configuring, managing and troubleshooting of Cisco
• Strong understanding of TCP/IP, DNS, DHCP, VPN, and network security protocols
• Strong BGP / OSPF protocols understanding, configuration and troubleshooting skills.
• Strong understanding of IPsec and SSL VPNs
• Experience with Cisco ASA firewalls and Cisco Nexus switches
• Experience with common network automation tools: Python, Perl or other scripting languages and tools i.e Ansible, Terraform, Jenkins
• Experience with AWS network and migrations from on-prem to AWS

Our Commitment

Verifone is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Verifone is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Responsibilities

We are looking for a Senior Platform Infrastructure Engineer to work as a part of the Infrastructure/CICD team. In this role, you will be responsible for some of the items below:

• Participate in building the modern cloud-native scalable, flexible and extensible Internal Platform solution based on Temporal and other tools with focus on optimized cost, availability, stability, security and compliance, DevEx, performance, minimal on-boarding time.

• Maintain and enhance current solutions for the Workato Internal Platform with focus on health, stability, performance & DevEx

• On-board Workato components & applications to Internal Platform.

• Implement pipelines to automate security, reliability, and availability best practices during all stages of software lifecycle.

• Implement complex deployment scenarios, including dynamic environments, progressive rollouts such as canary deployments, chaos engineering, etc.

• Work with engineering teams to better address needs and enable more effective and efficient developer throughput and improve services through rigorous testing and release.

• Gather and analyze metrics from CICD pipelines and infrastructure to assist in performance tuning and stability improvements.

• Participate in system design consulting, platform management, and architecture reviews.

• Document development processes and best practices.

• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review.

• Identify and drive opportunities to improve automation for code integration, quality testing, security scanning and deployment.

If you’re looking for a real challenge in terms of mission criticality, multi-geographic region deployments, diversity of managed services then this might be the position for you!

Requirements

Qualifications / Experience / Technical Skills

• Proficiency in one or more programming languages such as Go, Python, Java, JavaScript, Python, with preference to Go

• Experience with creating internal platform tooling, e.g. CLI tools, etc

• Experience creating scalable development and integration pipelines with tools such as ArgoCD, Argo Workflows, GitHub Actions, or similar solutions.

• Experience creating application deployments of Kubernetes-based services using tools like Kustomize, Helm, ArgoCD or similar ones using release engineering practices such as GitOps.

• Experience with cloud-based architectures like Amazon Web Services and knowledge of related Infrastructure as Code & CICD practices.

• Strong understanding of networking fundamentals and web services architecture.

• Experience with managing complex infrastructure (such as Kubernetes clusters, VPC networking and security policies) using Infrastructure as Code tools (e.g. Terraform or CloudFormation).

• Hands-on experience with containers (creating and optimizing Dockerfiles, using docker-compose), deep understanding of underlying and related technologies (kernel features, container networking, image structure & registry). 

• Familiarity with software packaging tools, functional testing, security validation tools and services, code coverage tools.

• BS or MS in the CS field (or equivalent experience).

• 5+ years professional experience in hands-on engineering roles (Platform Engineer / Software Engineer /  DevOps / SRE / CICD).

(REQ ID: 2718)

We are looking for a skilled Senior DevOps Engineer in our office in Poland/Warsaw.

✅ Requirements:
✔️ You know Kubernetes on bare metal (we use kubespray for deployment) and can deploy new one
✔️ Have experience with Istio and Calico
✔️ Have practical experience with Helm (write new charts / edit old)
✔️ Terraform and Ansible are familiar tools for you
✔️ Hands on experience with Prometheus and ELK in cluster
✔️ Experience with Linux and its components (Debian-based)
✔️ Experience with CI/CD system (GitLab preferably)
✔️ Advance lvl of English
✔️ Nice to have AWS or GCP experience

✅ Could be a plus:
✔️ Practical experience with CloudFlare

✅Opportunities & tasks
✔️Manage, maintain, configure, and deploy kubernetes clusters
✔️Improve existing helm charts and write new one
✔️Work with Developers team to enhance production stability, availability, and reliability
✔️Monitor system performance
✔️Build and maintain CI / CD pipeline using GitLab
✔️Work with Cloud Providers
✔️Work with CloudFlare

Role Summary and Impact 

As part of the Global Operations Centre (GOC), you will work closely with teams across the United States, Europe, and Asia to deliver high-impact solutions in a collaborative, multicultural environment. We are seeking an enthusiastic and motivated Junior Cloud Engineer to join our growing team. This is an exciting opportunity for individuals passionate about cloud technologies to learn, contribute, and grow within a leading global marketing and technology company. You will work alongside experienced engineers, supporting the development and maintenance of scalable, secure, and performant cloud infrastructure that powers our innovative data products and AI platforms. 

You are: 

• A keen learner with a strong interest in cloud computing, DevOps practices, and modern infrastructure. 
• Proactive and detail-oriented, eager to assist in implementing and optimizing cloud solutions. 
• Collaborative, ready to work with a diverse team of engineers, developers, and data scientists. 
• A problem-solver at heart, even with foundational knowledge, excited to tackle technical challenges and contribute to robust solutions. 
• Committed to best practices, understanding the importance of security, reliability, and efficiency in cloud environments. 

What you will do:

Support Cloud Infrastructure Deployment and Management 

• Assist in the deployment, configuration, and maintenance of cloud infrastructure components on platforms such as AWS and/or GCP, following established designs and best practices. 
• Learn to utilize Infrastructure as Code (IaC) tools like Terraform to manage cloud resources and contribute to IaC module development under guidance. 
• Collaborate with senior engineers to understand project requirements and contribute to the implementation of cloud solutions for our data products and AI platforms. 

Contribute to Automation and Operational Support 

• Support the development and maintenance of CI/CD pipelines, assisting with automation of deployment and testing processes. 
• Monitor cloud services and applications, contributing to the identification and resolution of operational issues and performance bottlenecks. 
• Assist in collecting and analyzing metrics, logs, and alerts to ensure the health and efficiency of our cloud environments. 

Uphold Security and Best Practices 

• Learn and apply cloud security best practices, assisting in the configuration of IAM policies, network security groups, and other security controls. 
• Contribute to documentation of cloud infrastructure, configurations, and operational procedures. 
• Work with the team to ensure our cloud environments adhere to internal standards and contribute to compliance efforts. 

Learn, Collaborate, and Innovate 

• Actively participate in team discussions, knowledge sharing sessions, and code reviews to deepen your understanding of cloud technologies and WPP's ecosystem. 
• Provide technical support to development teams for cloud-related issues and questions. 
• Research new cloud services and features, bringing fresh perspectives and ideas to the team. 

Skills and Experience 

If this opportunity looks right for you, we are looking for candidates who have:  

• 0-2 years of experience in a technical role, with a demonstrated interest or some exposure to cloud computing (e.g., through internships, personal projects, or academic coursework). 
• Foundational knowledge of at least one major cloud provider (GCP). 
• Basic understanding of Infrastructure as Code (IaC) principles and tools (e.g., Terraform). 
• Familiarity with Linux/Unix environments and command-line tools. 
• Some exposure to scripting languages (e.g., Python, Bash) is a plus. 
• English fluency B2/C1 
• Understanding of basic networking concepts (TCP/IP, HTTP/S, DNS). 
• Eagerness to learn about containerization (Docker) and orchestration (Kubernetes). 
• Strong analytical and problem-solving aptitude, with a willingness to learn and ask questions. 
• Excellent communication and interpersonal skills to work effectively within a team environment. 
• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related technical field, or equivalent practical experience. 
• Entry-level cloud certifications (e.g., Google Cloud Digital Leader) are a plus.

Life at WPP Media & Benefits 

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include access to internal learning platforms, certifications, and training sessions, life insurance, medical care & sports card in Medicover, funding for English language learning, employee mental health awareness day, and more.  

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. We are committed to offering equal opportunities to all employees, which is why we only establish collaborations based on employment contracts. 

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office two days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. 

Following a detailed review of all applications, we will contact those candidates whose qualifications and stated terms of cooperation most closely align the objectives of our recruitment process.

The controller of your personal data is the WPP Media Poland sp. z o.o.The personal data you provide will be processed for the purpose of the recruitment process.  By providing us with personal data beyond the scope required by the Labour Code, you consent to the processing of such data for the purposes of the recruitment process.  Consent may be withdrawn at any time. Withdrawal of consent does not affect the lawfulness of the processing carried out prior to its withdrawal. For evidence purposes, please withdraw your consent in writing or by email to RODO@wppmedia.com. 

Role Summary and Impact 

As part of the Global Operations Centre (GOC), you will work closely with teams across the United States, Europe, and Asia to deliver high-impact solutions in a collaborative, multicultural environment. We are looking for a Cloud Engineer with a passion for building robust, scalable, and secure cloud infrastructure. You'll play a crucial role in designing, implementing, and optimizing the cloud environments that power our innovative data products and AI platforms, including WPP Open. If you thrive in a fast-paced AdTech environment, enjoy solving complex technical challenges, and are eager to contribute to the future of marketing technology, we want to hear from you. 

You are: 

• A hands-on problem solver who enjoys architecting and implementing cloud solutions from concept to production. 
• Customer-focused and collaborative, keen to understand the needs of developers, data scientists, and product teams. 
• Committed to automation and operational excellence, always looking for ways to improve efficiency and reliability. 
• Curious and adaptable, eager to learn new technologies and best practices in the rapidly evolving cloud and AdTech landscapes. 
• Security-aware, with a strong understanding of best practices for securing cloud environments and data. 

What You will do:

Design and Implement Scalable Cloud Infrastructure 

• Design, deploy, and manage highly available, scalable, and secure cloud infrastructure on GCP platform to support our data products, AI platforms, and AdTech solutions. 
• Utilize Infrastructure as Code (IaC) tools like Terraform or CloudFormation to provision and manage cloud resources consistently and efficiently. 
• Work closely with data scientists, software engineers, and product teams to understand requirements and translate them into robust cloud architectures. 

Drive Automation and Operational Excellence 

• Develop and maintain CI/CD pipelines to automate the deployment, testing, and release processes for cloud-native applications and infrastructure changes. 
• Implement and manage monitoring, logging, and alerting solutions to ensure the health, performance, and security of our cloud environments. 
• Identify and implement optimizations for cloud resource utilization, cost management, and operational efficiency. 

Ensure Security and Compliance 

• Implement and enforce cloud security best practices, including identity and access management (IAM), network security, data encryption, and compliance controls. 
• Participate in security audits and vulnerability assessments, ensuring our infrastructure adheres to internal policies and industry regulations (e.g., GDPR, CCPA). 
• Develop and maintain disaster recovery and business continuity plans for critical cloud services. 

Collaborate and Innovate 

• Act as a subject matter expert on cloud technologies, providing guidance and support to development teams. 
• Participate in architectural reviews and contribute to strategic planning for the evolution of our cloud ecosystem. 
• Research and evaluate new cloud services and technologies to recommend innovative solutions that enhance our capabilities and competitive edge. 

Skills and Experience 

If this opportunity looks right for you, we are looking for candidates who have:  

• 3+ years of experience as a Cloud Engineer, DevOps Engineer, or similar role focusing on cloud infrastructure.
• Strong expertise with at least one major cloud provider (GCP, or Azure). Experience with GCP is highly preferred given our existing ecosystem.
• English fluency B2/C1.
• Proficiency with Infrastructure as Code (IaC) tools, particularly Terraform.
• Solid understanding of containerization technologies such as Docker and orchestration platforms like Kubernetes.
• Experience with CI/CD tools and methodologies (e.g., GitLab CI, Jenkins, ArgoCD).
• Strong scripting skills in languages like Python, Bash.
• Familiarity with database technologies, both relational (e.g., PostgreSQL) and NoSQL (e.g., Neo4j, DynamoDB, BigQuery), and experience managing them in cloud environments.
• Understanding of cloud networking concepts (VPC, VPN, DNS, Load Balancers) and security best practices.
• Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack, Datadog, CloudWatch, Stackdriver).
• Excellent problem-solving skills and the ability to troubleshoot complex distributed systems.
• Strong communication and collaboration skills to work effectively with cross-functional teams.
• Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• Cloud certifications (e.g., Google Professional Cloud Architect) are a significant plus. 

Life at WPP Media & Benefits 

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include access to internal learning platforms, certifications, and training sessions, life insurance, medical care & sports card in Medicover, funding for English language learning, employee mental health awareness day, and more.  

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. We are committed to offering equal opportunities to all employees, which is why we only establish collaborations based on employment contracts. 

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office two days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. 

Following a detailed review of all applications, we will contact those candidates whose qualifications and stated terms of cooperation most closely align the objectives of our recruitment process.

The controller of your personal data is the WPP Media Poland sp. z o.o.The personal data you provide will be processed for the purpose of the recruitment process.  By providing us with personal data beyond the scope required by the Labour Code, you consent to the processing of such data for the purposes of the recruitment process.  Consent may be withdrawn at any time. Withdrawal of consent does not affect the lawfulness of the processing carried out prior to its withdrawal. For evidence purposes, please withdraw your consent in writing or by email to RODO@wppmedia.com. 

We are looking for a DevOps Engineer to lead the automation of our hybrid infrastructure in our offices in Warsaw/Poland or Belgrade/Serbia. You will be responsible for managing a diverse environment that includes both AWS cloud services and on-premise bare-metal servers. A significant part of this role involves evolving our database operations—moving away from manual tasks toward a fully automated, scalable, and observable data platform.

Key Responsibilities:

• Hybrid Infrastructure Management: Design and maintain IaC for both AWS (RDS, EC2) and physical bare-metal servers using Terraform/Terragrunt and Ansible.
• Advanced Automation & Scripting: Develop custom tools and scripts (using Python or Go) to automate complex workflows that off-the-shelf tools can't handle.
• Database Lifecycle Automation: Automate provisioning, configuration tuning, and schema migrations. Work closely with DBAs to eliminate manual toil through code.
• Observability: Build and maintain high-fidelity monitoring for databases and system health using the Prometheus stack.
• Security & Compliance: Centralize secret management and access control using HashiCorp Vault.
• Knowledge Sharing: Act as a subject matter expert, documentation enthusiast, and mentor for the team as we evolve our infrastructure practices.

Technical Requirements:

• Experience: 3+ years in DevOps/SRE with a focus on infrastructure automation.
• Hybrid Ops: Proven experience managing both Cloud (AWS) and On-prem (Linux bare-metal) environments.
• Tooling: Expert-level knowledge of Ansible and Terraform/Terragrunt.
• Development Skills: Strong proficiency in Python or Go for infrastructure scripting and internal tooling.
• Linux Internals: Deep understanding of Linux systems, disk I/O optimization, and networking.

Nice to Have (The "Extra Mile"):

• Kubernetes (K8s) Expert: Hands-on experience with K8s (EKS or self-managed).
• Databases in K8s: Experience (or a strong desire to lead the transition) of running stateful workloads (Databases) inside Kubernetes using Operators or Helm.
• Mentorship: A passion for teaching and sharing K8s/Automation best practices with colleagues to level up the entire team.

What We Offer:

• The chance to work on complex, high-load systems where "manual" is a forbidden word.
• A collaborative environment where your architectural decisions directly impact the stability of the product.
• Modern stack and the freedom to introduce new tools that solve real problems.

Kineto is a next-generation platform that enables creators, educators, and small businesses to generate, deploy, and operate fully functional AI-powered web applications – instantly and at scale. It combines LLM-driven code generation, multi-tenant Postgres (Neon), dynamic hosting (GKE and Knative), automated deployments (Flux), analytics, billing, and a seamless chat-based UX to make software creation accessible to everyone. Our team is growing rapidly, and we’re now seeking an experienced Infrastructure Engineer who can design, build, and maintain our cloud-native platform, with a focus on scalability, reliability, and automated operations.

What you’ll do:

Cloud and platform engineering (DevOps):

• Design, implement, and manage the core infrastructure powering Kineto's platform on Google Cloud Platform (GCP), including networking, security, and identity management.
• Build and operate resilient, highly available distributed systems using Kubernetes (GKE), Knative, Istio, and related cloud-native technologies.
• Automate the entire infrastructure life cycle (IaC) using Terraform and Terragrunt, ensuring secure, reproducible, and auditable environments.
• Implement and maintain CI/CD pipelines (e.g. GitHub Actions and TeamCity) and deployment tools like Flux and Helm for GitOps-driven application delivery.
• Optimize and manage the multi-tenant data layer on Postgres and Neon, focusing on robust tenant isolation, performance, backups, and safe schema management.

Operational excellence and reliability:

• Drive site reliability engineering (SRE) practices, including monitoring, alerting (Prometheus, Grafana), logging (Loki), and incident response.
• Solve complex operational challenges, such as optimizing scale to zero for cost efficiency, minimizing cold starts, enhancing autoscaling behavior, and managing queue backpressure.
• Implement platform-wide performance tuning (e.g. container resource limits, distributed locks, caching strategies, and GC configurations).
• Ensure platform security and compliance by implementing best practices for secrets management, network segmentation, and vulnerability scanning.

Technical leadership:

• Own major infrastructure roadmap items, including multi-region deployments, disaster recovery planning, advanced tenancy separation, and ephemeral preview environments.
• Champion DevOps and SRE principles across the engineering team, mentoring engineers on cloud-native best practices, operational readiness, and debugging complex distributed systems.
• Collaborate with product and engineering teams to define the long-term vision for the platform's architecture and operational model.

We’d be glad to have you on our team if you:

• Have five or more years of experience building and operating large-scale, commercial cloud-native infrastructure, with a strong focus on DevOps/SRE practices.
• Possess deep, hands-on expertise with GCP (or AWS/Azure) and Kubernetes administration and operations (GKE experience is a strong plus).
• Are proficient with infrastructure-as-code (IaC) tools, particularly Terraform, for managing complex environments.
• Have a solid understanding of Linux internals, networking (CNI and service mesh), security, and distributed system design.
• Are familiar with CI/CD tools, GitOps (e.g. Flux), monitoring stacks (Prometheus/Grafana), and logging systems.
• Thrive in cross-functional teams and excel at communicating complex infrastructure ideas clearly.

#LI-YY1

We are looking for a Senior ML Platform Engineer to join our ML Platform team to build, evolve and scale AI Infrastructure that powers Bolt's intelligent services

With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.

We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, age, or disability.

Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!

The ML Platform Team makes ML/AI easy at scale. We streamline development, testing and deployment of ML/AI systems for hundreds of real-time algorithms. 

We own training orchestration, an inference software stack and infrastructure, and a Feature Store, including VectorSearch and RAG tooling. We develop LLM tools and CI/CD for ML, covering the whole range of ML infrastructure needs.

Our tech stack includes TypeScript, Python, Spark (batch and structured streaming), Airflow, n8n, MLflow, LiteLLM, AWS SageMaker, Redis, Elasticsearch, Docker, Kubernetes, AWS (S3, EKS), Terraform, Great Expectations. 

• Designing, building, and optimising components of Bolt’s ML Platform.
• Optimise and extend our in-house Feature Store Platform serving billions of data points in real-time.
• Tune infrastructure (k8s and AWS) and build automations to achieve the best cost-performance.
• Proactively solve technical challenges, discover and build new features, enabling develop efficiency.
• Support our internal users and help with troubleshooting, and turn user problems into scalable solutions.
• Raise our product and technical quality bar, promoting software engineering best practices.

• 5+ years of experience in Software Engineering, out of which 2+ in ML/MLOPS/AI Engineering.
• Experience in leading and delivering complex cross-team projects.
• Production experience with Python, Spark, and Kubernetes.
• Experience in MLOPS and AI ecosystem, and developing end-to-end ML/AI solutions at scale.
• You strive for technical excellence while staying pragmatic to achieve outcomes for the users.

Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying!

• Accelerate your professional growth with unique career opportunities.
• Enjoy a rewarding salary and stock options, knowing that as Bolt succeeds, so do you.
• Take care of your physical and mental health with our wellness perks.
• Celebrate 5 years at Bolt with a 1-month paid sabbatical to recharge.
• Connect with colleagues at annual company events and smaller team gatherings.
• Balance flexibility and in-person collaboration with our hybrid model, including at least 12 monthly in-office days.

*Some perks may differ depending on your location and role.

We are looking for a Senior ML Platform Engineer to join our ML Platform team to build, evolve and scale AI Infrastructure that powers Bolt's intelligent services

With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.

We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, age, or disability.

Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!

The ML Platform Team makes ML/AI easy at scale. We streamline development, testing and deployment of ML/AI systems for hundreds of real-time algorithms. 

We own training orchestration, an inference software stack and infrastructure, and a Feature Store, including VectorSearch and RAG tooling. We develop LLM tools and CI/CD for ML, covering the whole range of ML infrastructure needs.

Our tech stack includes TypeScript, Python, Spark (batch and structured streaming), Airflow, n8n, MLflow, LiteLLM, AWS SageMaker, Redis, Elasticsearch, Docker, Kubernetes, AWS (S3, EKS), Terraform, Great Expectations. 

• Designing, building, and optimising components of Bolt’s ML Platform.
• Optimise and extend our in-house Feature Store Platform serving billions of data points in real-time.
• Tune infrastructure (k8s and AWS) and build automations to achieve the best cost-performance.
• Proactively solve technical challenges, discover and build new features, enabling develop efficiency.
• Support our internal users and help with troubleshooting, and turn user problems into scalable solutions.
• Raise our product and technical quality bar, promoting software engineering best practices.

• 5+ years of experience in Software Engineering, out of which 2+ in ML/MLOPS/AI Engineering.
• Experience in leading and delivering complex cross-team projects.
• Production experience with Python, Spark, and Kubernetes.
• Experience in MLOPS and AI ecosystem, and developing end-to-end ML/AI solutions at scale.
• You strive for technical excellence while staying pragmatic to achieve outcomes for the users.

Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying!

• Accelerate your professional growth with unique career opportunities.
• Enjoy a rewarding salary and stock options, knowing that as Bolt succeeds, so do you.
• Take care of your physical and mental health with our wellness perks.
• Celebrate 5 years at Bolt with a 1-month paid sabbatical to recharge.
• Connect with colleagues at annual company events and smaller team gatherings.
• Balance flexibility and in-person collaboration with our hybrid model, including at least 12 monthly in-office days.

*Some perks may differ depending on your location and role.

2026 Warsaw Market Intelligence – Platform DevOps Internship

A Career with point72’s Market Intelligence Team

On our proprietary research team—Market Intelligence—you’ll partner with our Compliance team to uncover insights about companies, industries, and the broader economy through applying data science and engineering techniques to alternative data sets. You’ll work alongside a talented team with diverse skills, backgrounds, and perspectives. Our industry researchers, product managers, and data scientists and engineers work together to build compliant research products. We look for other bright, motivated, and collaborative people to join our team and grow with us—a majority of the leaders in our group were promoted from within.

What you’ll do

As a member of the Market Intelligence Platform Engineering team, you will support the development and operation of our internal data and research infrastructure. Working closely with senior DevOps engineers, data engineers, and researchers, you'll contribute to building, maintaining, and improving reliable systems that power our research workflows. You'll also gain hands-on experience with a modern DevOps toolchain while learning best practices for operating large-scale, production-grade systems in a regulated environment.

In this role, you will gain exposure to:

• Developing and maintaining CI/CD pipelines and automation using tools such as Jenkins and Git
• Supporting containerized applications and Kubernetes-based deployments
• Maintaining and improving cloud infrastructure on AWS, including compute, storage, networking, and IAM configurations
• Writing and maintaining Python and Bash scripts for automation, monitoring, and operational tasks
• Infrastructure as Code and configuration management projects under guidance (e.g., Terraform, Ansible)
• Monitoring, logging, and reliability efforts and learning how production systems are observed and troubleshot
• Collaboration with engineers and researchers to improve developer experience and platform reliability

What’s REQUIRED

• Working knowledge of Python and SQL
• Comfort with Linux/Unix environments and basic Bash scripting
  Exposure to Docker or other container technologies
• Familiarity with Git and standard version control workflows
• Understanding of core computer science fundamentals (processes, networking basics, data structures)
• Interest in DevOps, infrastructure, and automation
• Willingness to learn new tools, frameworks, and technologies
• Commitment to the highest ethical and compliance standards

About point72

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit www.Point72.com.

Our Warsaw office gives us access to world-class talent with a reputation for excellence and innovation. We’re looking to build an office of subject-matter experts whose fresh perspectives will help evolve our infrastructure and advance the capabilities of our teams. Learn more at https://point72.com/Warsaw.

We invite a Senior Application Security Engineer to join our team.

🌎 Global Remote Mobility: Available for Senior roles in selected jurisdictions.

✅ Responsibilities:
✔️ Demonstrated ability to collaborate with other teams to achieve complex objectives.
✔️ Responsible for security architecture design from cloud infrastructure to application through the implementation of "secure by design" principles.
✔️ Collaborate with product managers, architects, and developers on the implementation of the security controls platform ecosystem and products.
✔️ Proof security implementations within infrastructure and application deployment manifests and the CI/CD pipelines.
✔️ Define required policies, controls, and capabilities for the protection of products and environments.
✔️ Build and validate declarative threat models automation.
✔️ Participate in engineering teams’ product planning cycles and committees.
✔️ Oversee the product security aspects for migration of products and services from Data Center to public cloud, e.g., AWS.
✔️ Serve as a trusted cyber security advisor to product and application teams.

✅ Minimum Requirements:
✔️ Experience integrating security scanning/tooling into the development pipeline.
✔️ Experience in analysing and securing microservices and applications developed using JavaScript and Typescript.
✔️ Experience with CI/CD pipelines (such as Gitlab, Jenkins) and infrastructure-as-a-code models (such as Terraform, Helm, or CloudFormation).
✔️ Hands-on development experience in Python/shell scripting.
✔️ Strong understanding of supply chain security, software integrity, and secure software delivery.
✔️ Experience with Docker and mesh technologies (such as ISTIO).
✔️ Experience with architecture and security reviews, threat modelling, and application risk is highly desired.
✔️ Experience working with Agile methodologies.
✔️ Knowledge of privacy laws and regulations, such as GDPR desired.
✔️ Familiarity with industry regulations, frameworks, and practices. For example, PCI, ISO 27001, NIST, etc.

✅ PREFERRED QUALIFICATIONS:
✔️ In-depth experience with architecting secure services on Kubernetes.
✔️ Extensive experience with architecting secure services on AWS or on-prem data centers.
✔️ Security-related professional certifications e.g., CISSP, CISM, CCSK, CCSP, CEH, are highly desirable.

✅ We offer excellent benefits, including but not limited to:
🚀 Career growth opportunities in an international and dynamic environment;
📚 Opportunity to develop language skills with partial compensation for language courses;
🎁 Special gifts for birthdays, weddings, and newborns;
🏝️ 20 working days of paid annual vacation, 6 paid sick leaves;
🍲 Office snacks and refreshments;
🏋️‍♂️ Sports package to support a healthy lifestyle;
🩺 Comprehensive medical insurance for you and your partner;
📍 Comfortable office with great facilities in a prime location;
 🎉 Exciting corporate events, team-building activities, and international company parties.

We invite a Senior Application Security Engineer to join our team.

🌎 Global Remote Mobility: Available for Senior roles in selected jurisdictions.

✅ Responsibilities:
✔️ Demonstrated ability to collaborate with other teams to achieve complex objectives.
✔️ Responsible for security architecture design from cloud infrastructure to application through the implementation of "secure by design" principles.
✔️ Collaborate with product managers, architects, and developers on the implementation of the security controls platform ecosystem and products.
✔️ Proof security implementations within infrastructure and application deployment manifests and the CI/CD pipelines.
✔️ Define required policies, controls, and capabilities for the protection of products and environments.
✔️ Build and validate declarative threat models automation.
✔️ Participate in engineering teams’ product planning cycles and committees.
✔️ Oversee the product security aspects for migration of products and services from Data Center to public cloud, e.g., AWS.
✔️ Serve as a trusted cyber security advisor to product and application teams.

✅ Minimum Requirements:
✔️ Experience integrating security scanning/tooling into the development pipeline.
✔️ Experience in analysing and securing microservices and applications developed using JavaScript and Typescript.
✔️ Experience with CI/CD pipelines (such as Gitlab, Jenkins) and infrastructure-as-a-code models (such as Terraform, Helm, or CloudFormation).
✔️ Hands-on development experience in Python/shell scripting.
✔️ Strong understanding of supply chain security, software integrity, and secure software delivery.
✔️ Experience with Docker and mesh technologies (such as ISTIO).
✔️ Experience with architecture and security reviews, threat modelling, and application risk is highly desired.
✔️ Experience working with Agile methodologies.
✔️ Knowledge of privacy laws and regulations, such as GDPR desired.
✔️ Familiarity with industry regulations, frameworks, and practices. For example, PCI, ISO 27001, NIST, etc.

✅ PREFERRED QUALIFICATIONS:
✔️ In-depth experience with architecting secure services on Kubernetes.
✔️ Extensive experience with architecting secure services on AWS or on-prem data centers.
✔️ Security-related professional certifications e.g., CISSP, CISM, CCSK, CCSP, CEH, are highly desirable.

✅ We offer excellent benefits, including but not limited to:
💻 Learning and development opportunities and interesting, challenging tasks.
✈️ Relocation package (tickets, staying in a hotel for up to 2 weeks, and visa relocation support for our employees and their family members).
📚 Opportunity to develop language skills, with partial compensation for the cost of English and Portuguese language classes (for localization purposes). 
🎾 Partial compensation for tennis and padel lessons. 
🏀 Urban Sport membership benefit (the most diverse sports and wellness offering in Europe, with more than 50+ activities). 
🏥 Private medical coverage, including inpatient, outpatient, dental care, annual check-ups, and maternity support. 
🏝 Time for proper rest, with 24 non-business days per year and an additional 6 paid sick days. 
🚌 Transport compensation - 200 euros net per month. 
📈 Competitive remuneration level with annual review. 
🤝 Teambuilding activities. 

We invite a Senior Application Security Engineer to join our team.

🌎 Global Remote Mobility: Available for Senior roles in selected jurisdictions.

✅ Responsibilities:
✔️ Demonstrated ability to collaborate with other teams to achieve complex objectives.
✔️ Responsible for security architecture design from cloud infrastructure to application through the implementation of "secure by design" principles.
✔️ Collaborate with product managers, architects, and developers on the implementation of the security controls platform ecosystem and products.
✔️ Proof security implementations within infrastructure and application deployment manifests and the CI/CD pipelines.
✔️ Define required policies, controls, and capabilities for the protection of products and environments.
✔️ Build and validate declarative threat models automation.
✔️ Participate in engineering teams’ product planning cycles and committees.
✔️ Oversee the product security aspects for migration of products and services from Data Center to public cloud, e.g., AWS.
✔️ Serve as a trusted cyber security advisor to product and application teams.

✅ Minimum Requirements:
✔️ Experience integrating security scanning/tooling into the development pipeline.
✔️ Experience in analysing and securing microservices and applications developed using JavaScript and Typescript.
✔️ Experience with CI/CD pipelines (such as Gitlab, Jenkins) and infrastructure-as-a-code models (such as Terraform, Helm, or CloudFormation).
✔️ Hands-on development experience in Python/shell scripting.
✔️ Strong understanding of supply chain security, software integrity, and secure software delivery.
✔️ Experience with Docker and mesh technologies (such as ISTIO).
✔️ Experience with architecture and security reviews, threat modelling, and application risk is highly desired.
✔️ Experience working with Agile methodologies.
✔️ Knowledge of privacy laws and regulations, such as GDPR desired.
✔️ Familiarity with industry regulations, frameworks, and practices. For example, PCI, ISO 27001, NIST, etc.

✅ PREFERRED QUALIFICATIONS:
✔️ In-depth experience with architecting secure services on Kubernetes.
✔️ Extensive experience with architecting secure services on AWS or on-prem data centers.
✔️ Security-related professional certifications e.g., CISSP, CISM, CCSK, CCSP, CEH, are highly desirable.

✅ We offer excellent benefits, including but not limited to:
🏝 24 vacation days annually 
🤒 6 sick days without a medical certificate 
🏥 Premium Health Insurance (coverage up to 5,000 EUR annually) 
🎉 Special occasion gifts: birthday, wedding, newborn 
📚 Learning & Development budget (for conferences, courses and certifications) 
🌍 Corporate events: international parties, team buildings, activities 
📈 Career growth opportunities in a fast-growing company 
✈️ Relocation package for international candidates 
🏋️ Sports package (FitPass membership) 
🗣️ Language classes: Serbian & English (company-covered)

We invite a Senior Application Security Engineer to join our team.

🌎 Global Remote Mobility: Available for Senior roles in selected jurisdictions.

✅ Responsibilities:
✔️ Demonstrated ability to collaborate with other teams to achieve complex objectives.
✔️ Responsible for security architecture design from cloud infrastructure to application through the implementation of "secure by design" principles.
✔️ Collaborate with product managers, architects, and developers on the implementation of the security controls platform ecosystem and products.
✔️ Proof security implementations within infrastructure and application deployment manifests and the CI/CD pipelines.
✔️ Define required policies, controls, and capabilities for the protection of products and environments.
✔️ Build and validate declarative threat models automation.
✔️ Participate in engineering teams’ product planning cycles and committees.
✔️ Oversee the product security aspects for migration of products and services from Data Center to public cloud, e.g., AWS.
✔️ Serve as a trusted cyber security advisor to product and application teams.

✅ Minimum Requirements:
✔️ Experience integrating security scanning/tooling into the development pipeline.
✔️ Experience in analysing and securing microservices and applications developed using JavaScript and Typescript.
✔️ Experience with CI/CD pipelines (such as Gitlab, Jenkins) and infrastructure-as-a-code models (such as Terraform, Helm, or CloudFormation).
✔️ Hands-on development experience in Python/shell scripting.
✔️ Strong understanding of supply chain security, software integrity, and secure software delivery.
✔️ Experience with Docker and mesh technologies (such as ISTIO).
✔️ Experience with architecture and security reviews, threat modelling, and application risk is highly desired.
✔️ Experience working with Agile methodologies.
✔️ Knowledge of privacy laws and regulations, such as GDPR desired.
✔️ Familiarity with industry regulations, frameworks, and practices. For example, PCI, ISO 27001, NIST, etc.

✅ PREFERRED QUALIFICATIONS:
✔️ In-depth experience with architecting secure services on Kubernetes.
✔️ Extensive experience with architecting secure services on AWS or on-prem data centers.
✔️ Security-related professional certifications e.g., CISSP, CISM, CCSK, CCSP, CEH, are highly desirable.

✅ We offer excellent benefits, including but not limited to:
🚀 Career growth opportunities in an international and dynamic environment; 
📚 Opportunity to develop language skills with partial compensation for language courses; 
🎁 Special gifts for birthdays, weddings, and newborns; 
🏝️ 20 working days of paid annual vacation, plus 6 paid sick leaves; 
🍲 Office snacks and refreshments;
🏋️‍♂️ Sports package to support a healthy lifestyle;
🩺 Comprehensive medical insurance; 
📍 Comfortable office with great facilities in a prime location; 
 🎉 Exciting corporate events, team-building activities, and international company parties.

We are looking for a Senior ML Platform Engineer to join our ML Platform team to build, evolve and scale AI Infrastructure that powers Bolt's intelligent services

With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.

We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, age, or disability.

Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!

The ML Platform Team makes ML/AI easy at scale. We streamline development, testing and deployment of ML/AI systems for hundreds of real-time algorithms. 

We own training orchestration, an inference software stack and infrastructure, and a Feature Store, including VectorSearch and RAG tooling. We develop LLM tools and CI/CD for ML, covering the whole range of ML infrastructure needs.

Our tech stack includes TypeScript, Python, Spark (batch and structured streaming), Airflow, n8n, MLflow, LiteLLM, AWS SageMaker, Redis, Elasticsearch, Docker, Kubernetes, AWS (S3, EKS), Terraform, Great Expectations. 

• Designing, building, and optimising components of Bolt’s ML Platform.
• Optimise and extend our in-house Feature Store Platform serving billions of data points in real-time.
• Tune infrastructure (k8s and AWS) and build automations to achieve the best cost-performance.
• Proactively solve technical challenges, discover and build new features, enabling develop efficiency.
• Support our internal users and help with troubleshooting, and turn user problems into scalable solutions.
• Raise our product and technical quality bar, promoting software engineering best practices.

• 5+ years of experience in Software Engineering, out of which 2+ in ML/MLOPS/AI Engineering.
• Experience in leading and delivering complex cross-team projects.
• Production experience with Python, Spark, and Kubernetes.
• Experience in MLOPS and AI ecosystem, and developing end-to-end ML/AI solutions at scale.
• You strive for technical excellence while staying pragmatic to achieve outcomes for the users.

Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying!

• Accelerate your professional growth with unique career opportunities.
• Enjoy a rewarding salary and stock options, knowing that as Bolt succeeds, so do you.
• Take care of your physical and mental health with our wellness perks.
• Celebrate 5 years at Bolt with a 1-month paid sabbatical to recharge.
• Connect with colleagues at annual company events and smaller team gatherings.
• Balance flexibility and in-person collaboration with our hybrid model, including at least 12 monthly in-office days.

*Some perks may differ depending on your location and role.

Location: [Poland] 

We Are: 

RTB House is a next-generation performance demand-side platform (DSP) that uses proprietary Deep Learning AI algorithms to help brands grow. The company is the market leader in driving performance using Deep Learning across the entire purchase funnel. 

Founded in 2012, and now operating in 90+ markets, RTB House has always been private-by-design. It embraces first-party advertising and a relentless approach to innovation. RTB House offers end-to-end Deep Learning-powered AdTech products and solutions to maximize conversion, drive new customer acquisition, create engagement, and fuel long-term demand for a global base of clients.

About The Role

As a DevOps Engineer, you will play a crucial role in designing, building, and maintaining our cloud infrastructure, CI/CD pipelines, and deployment automation. Your responsibilities will include migrating applications from on-prem to GCP, monitoring web applications, automating daily tasks, and maintaining the production environment. You will collaborate closely with development teams, system administrators, and other stakeholders to ensure our systems are highly available, secure, and efficient.

This is an excellent opportunity for an experienced DevOps professional who is passionate about solving complex challenges and enabling engineering teams to perform at their best.

The following skills will be crucial: 

• Hands-on experience migrating applications and infrastructure from on-premises environments to Google Cloud Platform (or other cloud provider). Skilled in designing secure, scalable, and cost-efficient GCP architectures using infrastructure as code, containerization, and managed services. Capable of defining and executing migration strategies with minimal operational disruption.
• Demonstrated ability to take ownership of complex systems, troubleshoot critical issues, and implement scalable solutions. Experience in sharing best practices, and driving key DevOps projects through hands-on technical contributions.
• Proven ability to streamline daily operations by developing automation scripts, refining CI/CD pipelines, and optimizing cloud infrastructure to enhance system reliability and team productivity.
• Strong communication skills to engage with engineering teams and stakeholders across the organization. Ability to work across disciplines to align infrastructure and deployment strategies, ensuring seamless integration and operational excellence.
• Skilled at addressing complex and unclear technical challenges. Capable of analyzing issues, defining objectives and success metrics, and crafting efficient, practical solutions to meet project goals.

Desired Experience: 

• 5+ years of experience as a DevOps Engineer or similar
• Proven experience as a DevOps / Engineering Team Lead, including team mentoring, technical decision-making, workload prioritization, and cross-team coordination
• Strong hands-on experience with at least one major cloud platform (GCP, AWS, or Azure, with a preference for GCP)
• Proficiency in Kubernetes and Helm for container orchestration and management
• Hands-on experience with CI/CD tools such as GitHub Actions, Jenkins
• Expertise in infrastructure-as-code tools like Terraform, Terragrunt
• Proven experience building and optimizing observability stacks with Prometheus and Grafana, including metrics design, alerting strategies, and dashboarding
• Strong knowledge of Docker for containerization
• A strong commitment to best practices and ensuring the high security of designed solutions

Selected Technologies: 

• Google Cloud Platform
• Kubernetes, GCP serverless services
• Argo CD & Argo Workflows
• PostgreSQL, Google Cloud SQL
• GitHub
• Terraform, Terragrunt
• GitHub Actions, Jenkins

We Offer: 

• Competitive Compensation: We offer an attractive salary package with significant growth opportunities
• Cutting-edge Technology: Engage with the latest technologies on large-scale, dynamic projects
• Wellbeing: extremely flexible working conditions - you work when it is convenient for you and devote as much time as you can; you can work fully remotely
• Purpose-Driven Work: being at the heart of the system, your growing knowledge and competencies will be used in practical applications directly connected to business results

Apply now! 

You don't need to tick every box to apply. If you are passionate about digital marketing, send us your CV, and we'll review it.

Your key skills and capabilities: 

• Strong SQL and Python skills  

• Data modelling experience (dimensional, relational, or similar)  

• Experience building and maintaining backend systems  

• Familiarity with Microsoft Azure  

• Understanding of APIs, containers, and backend development best practices 

• Implementing cloud-native data platforms 

• Engineering scalable and reliable pipelines 

• Good knowledge of distributed computing with Spark 

• Understanding of cloud architecture principles and best practices 

• Hands-on experience in designing, deploying, and managing cloud resources 

• Agile ways of working 

• Experience in cloud automation and orchestration using tools such as CloudFormation or Terraform 

• Monitoring and performance tuning of cloud-based applications and services  

Nice to haves:  

• Experience with Snowflake, dbt, CubeJS 

• Experience with Databricks, PySpark, ML workflows  

• Experience with containerized deployments (Docker, Kubernetes, Azure Container Apps).  

• Frontend development experience (React, Next.js, TypeScript)  

• Infrastructure-as-code (Terraform, CloudFormation) 

• Model Deployment & Serving – Deploy and manage ML models using MLflow, Azure ML, SageMaker, or similar, ensuring scalability and performance  

• Monitoring & Retraining – Set up model drift detection, performance monitoring, and automated retraining   

• ML Pipelines & CI/CD – Automate end-to-end ML workflows 

Key tasks:  

• Develop, maintain, and optimise backend services for our SaaS platform  

• Work with SQL and Python daily to build robust data pipelines and transformations  

• Model, structure, and query data to support product features and reporting  

• Integrate and maintain data ingestion flows (e.g., Fivetran, custom connectors)  

• Implement backend APIs (FastAPI) to power our web application  

• Work with our cloud environment (Azure - experience with AWS or GCP also valuable)  

• Collaborate with teammates to plan, build, and deploy features in an Agile way 

• Contribute to CI/CD workflows, monitoring, and infrastructure-as-code 

We expect you to have some knowledge about how to architect, design, develop, deploy, and operate a data platform.  

Your key skills and capabilities:

·      Implementing cloud-native data platforms
·      Engineering scalable and reliable pipelines
·      Good knowledge of distributed computing with Spark
·      Understanding of cloud architecture principles and best practices
·      Hands-on experience in designing, deploying, and managing cloud resources
·      Excellent python and SQL skills
·      Agile ways of working
·      Experience in cloud automation and orchestration using tools such as CloudFormation or Terraform
·      Monitoring and performance tuning of cloud-based applications and services

Nice to haves: (MLOps):  

• Model Deployment & Serving – Deploy and manage ML models using MLflow, Azure ML, SageMaker, or similar, ensuring scalability and performance. 
•  Monitoring & Retraining – Set up model drift detection, performance monitoring, and automated retraining 
• ML Pipelines & CI/CD – Automate end-to-end ML workflows 

We expect you to have some knowledge about how to architect, design, develop, deploy, and operate a data platform.