As an Engineering Manager on the Infrastructure team at Cursor, you'll lead the team that owns the foundational cloud, networking, storage, and compute layer that every service runs on: network foundations, container orchestration, edge and security infrastructure, data storage systems, and the compute runtimes that power production.

Cursor is one of the fastest-growing developer tools in the world, and you'll drive the cost management, regional deployment strategy, and infrastructure unification that make that growth possible. When your team's systems work well, every team is more productive, every product surface is more reliable, and Cursor can expand to serve developers everywhere.

You'll set technical direction, write and review code, and lead a team of strong infrastructure engineers, balancing hands-on contribution with growing your team's impact.

What you’ll do

• Owning Kubernetes and cluster foundations: building and operating production clusters with proper service mesh, scaling, and ingress that teams can confidently deploy to.

• Designing the geo-deployment architecture: building a replicable, robust process for deploying geo-replicated services across cloud regions and providers.

• Building edge and security infrastructure: designing the networking and security layer at the edge to protect against abuse, manage rate limiting, and optimize traffic routing.

• Owning data storage strategy: leading the team's work on Postgres, OLAP systems, and caching layers, ensuring our storage infrastructure is reliable, performant, and scales with the product.

• Owning cost management and optimization: building attribution systems, identifying waste, and ensuring we're making smart tradeoffs between cost and reliability across all cloud spend.

• Unifying the compute platform: defining a single, opinionated container orchestration strategy so every team gets consistent, reliable deployments out of the box.

• Hiring and growing the team: sourcing, interviewing, and closing top infrastructure talent, while developing your engineers through coaching, mentorship, and high-leverage project assignments.

You may be a fit if

• You have led engineering teams building and operating production infrastructure or platform systems at scale.

• You have deep experience with AWS (or comparable cloud providers), especially VPC networking, EKS/K8s, and IAM/account management.

• You've built and operated production Kubernetes clusters at scale, including service mesh, autoscaling, and multi-region deployments.

• You have strong opinions on databases, storage engines, caching, and schema design, and understand the tradeoffs between performance, consistency, and cost.

• You understand edge networking, CDN/WAF architectures, and traffic management at the infrastructure level.

• You care about infrastructure-as-code, reproducibility, and making it easy for other teams to self-serve reliable infrastructure.

• Experience with cost optimization at scale, infrastructure migration/unification, or data storage systems (Postgres, ClickHouse, OLAP) is a plus.

Salary

$150,000 - $200,000 per year

Required Skills

• AWS (or comparable cloud providers)
• VPC networking
• EKS/K8s
• IAM/account management
• Kubernetes
• Service mesh
• Autoscaling
• Multi-region deployments
• Databases
• Storage engines
• Caching
• Schema design

Preferred Skills

• Cost optimization at scale
• Infrastructure migration/unification
• Data storage systems (Postgres, ClickHouse, OLAP)

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Exciting projects and a place for technical freedom and innovation to get things moving. Attractive benefits packages, including competitive remuneration, social benefits, 30 days annual holiday, car leasing, and free on-site gym.

Responsibilities:

• Design, implement, and manage Hybrid AWS infrastructure using Terraform across multiple accounts and regions
• Take part in crucial software architecture decisions
• Maintain secure and scalable hybrid setups between Edge, Cloud and On-Prem
• Maintain critical infrastructure in the AWS Cloud
• Support CI/CD pipelines and Infrastructure automation for internal software applications
• Collaborate with software developers and engineers to enable secure cloud-native solutions for motor-sport analytics, APIs, and AI workloads
• Possibilities to participate in the full software development life cycle

Requirements:

• Bachelor/ Master’s degree or equivalent in computer science, cloud engineering, or a related field
• Relevant hands-on experience with AWS and Infrastructure as Code (IAC) in a production environment
• Familiarity with AWS services such as EKS, ECS, VPC, EC2, IAM, CloudTrail, Athena, RDS, ECR, and S3
• Understanding of CI/CD workflows and DevOps practices in cloud-native environments
• Experience with containerized workloads (K8s and Docker)
• Fluency in English; German language skills are a plus
• Experience with one or more of the following would be an advantage: Terraform, Azure DevOps Pipelines, Python, AI/ML workloads, Data Engineering, Networking

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Your main responsibilities will include:

• Tackling project challenges on EKS, such as implementing Karpenter.
• Collaborating across various teams to drive projects forward using open-source tools.
• Building a deep understanding of how Pinterest's systems behave, scale, interact, and fail, and using that insight to identify risks and opportunities for remediation.
• Building tools and automation to eliminate toil and reduce operational overhead.
• Building meaningful, insightful, and actionable SLIs.
• Automating critical portions of Pinterest's engineering processes to minimize risk and maximize the speed of innovation.
• Managing capacity and performance to help scale our infrastructure both on public and private clouds around the world.
• Using AI for analysis of incidents, operational signals, and system behaviors to help identify patterns and generate plans and propose remediation approaches.

In return, you'll have the opportunity to work with a talented team of engineers, learn from experienced professionals, and contribute to the development of cutting-edge technology.

We're looking for someone with strong knowledge of Kubernetes (specially EKS), including deploy patterns, rollout safety, and core debugging workflows. You should also have 4+ years of experience with programming languages (Python or Golang preferred) and strong experience managing projects and initiatives end-to-end.

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The successful candidate will play a key role in evolving our data platform, services, and tools to meet new customer requirements. The platform is built on a modern tech stack, including Java, Kafka, and AWS (EKS), Angular, offering scalable and streaming capabilities.

Key Responsibilities:

• Develop and maintain full-stack solution using Java (Spring Framework, GraphQL, Rest API, Kafka) and Angular.
• Ensure proper ingestion, curation, storage, and management of data to meet business needs.
• Write and execute unit, performance, and integration tests.
• Collaborate with cross-functional teams to solve complex data challenges.
• Closely work with users to gather the requirements and convert them into an actionable plan.

Qualifications:

• Minimum of 5-7 years' of professional Java development experience, focusing on API-and Kafka based architectures.
• Minimum 4-5 years of strong Angular development skills with backend integration expertise.
• Hands-on experience with automated testing (unit, performance, integration).
• 5+ years of database development experience (any RDBMS)
• Analytical and problem-solving skills with the ability to work independently in a fast-paced environment.
• Excellent communication skills to effectively collaborate with users and other teams across different regions.
• Self-motivated and capable of working under pressure.
• Experience working in Financial Services or a Front Office Environment is highly preferred.
• Experience working in Reference Data domain a plus
• Familiarity with AI developer tools

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Your primary responsibilities will include:

• Preparing performance attribution reports for senior management and portfolio managers, highlighting primary PnL drivers and providing ad-hoc deep-dive analysis as required.
• Investigating and explaining material PnL moves on a Trade Date and T+1 basis, acting as a key point of contact for traders, risk, and finance on all PnL-related queries.
• Developing systematic controls to validate and enhance PnL attribution processes, including automated reconciliations, threshold-based alerts, and exception reporting.

In addition, you will be responsible for monitoring and validating real-time and end-of-day pricing for all fixed income instruments across Rates, Credit, and FX, including derivatives and structured products.

You will also maintain a strong working knowledge of Greeks-based risk sensitivities and their application to PnL attribution across fixed income derivatives, collaborate with quants and risk teams to ensure risk factor decompositions used in PnL attribution are accurate and aligned with the firm's pricing and risk models, and support the testing and validation of new pricing models and their impact on PnL and risk reporting.

To succeed in this role, you will need to have an advanced degree in a quantitative discipline such as Engineering, Mathematics, Physics, Financial Engineering, or a related field, experience in PnL attribution, derivatives pricing/valuations, quantitative risk, or a closely related function within a front-office, risk, or portfolio analytics environment, and knowledge of fixed income products and their risk profiles across Rates, Credit, and FX, including derivatives, structured products, and asset-backed securities.

You will also need to have solid coding skills in Python, with the ability to work efficiently with large datasets, build automation, and develop analytical tools, and excellent communication skills, with the ability to interact effectively with portfolio managers, quants, risk, and technology teams across the firm.

If you are a collaborative team player with a strong willingness to support others, adapt quickly, and thrive in a fast-moving, high-pressure environment, we encourage you to apply for this exciting opportunity.

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You'll be part of our new Dynamic Pricing & Revenue Management team, working alongside a Data Scientist and a Data Analyst. Together, you will work towards one core goal: helping hosts improve occupancy and earnings through a smart, dynamic, and data-driven pricing strategy.

Our Tech Stack

• Data Storage & Querying: S3, Redshift (with decentralized data sharing), Athena, and DuckDB.
• ML & Model Serving: MLflow, SageMaker, and deployment APIs for model lifecycle management.
• Cloud & DevOps: Terraform, Docker, Jenkins, and AWS EKS (Kubernetes) for scalable, resilient systems.
• Monitoring: ELK, Grafana, Looker, OpsGenie, and in-house tools for full visibility.
• Ingestion: Kafka-based event systems and tools like Airbyte and Fivetran for smooth third-party integrations.
• Automation & AI: Extensive use of AI tools like Claude, Copilot, and Codex.

Your role in this journey

As a Data Ops Engineer – Revenue Management, you'll be the engineering backbone that enables our Data Scientists to move from experimentation to production. You bridge the gap between data science models and reliable, scalable production systems.

Responsibilities

• Support model deployment and serving: help deploy pricing and demand models into production, building and maintaining APIs and serving infrastructure.
• Build and operate production pipelines: ensure data flows reliably from source to model to output, with proper monitoring and alerting.
• Collaborate cross-functionally: work closely with Data Scientists, Analysts, and Engineering teams to turn prototypes into production-ready solutions.
• Own infrastructure and tooling: set up and maintain the environments, CI/CD pipelines, and infrastructure that the team depends on.
• Ensure operational excellence by implementing monitoring, automated testing, and observability across the team's production systems.
• Migrate and productionize POC: turn experimental code into robust, maintainable Python applications.
• Ensure data quality, consistency, and documentation across revenue management metrics and datasets.

Benefits

• Impact: Shape the future of travel with products used by millions of guests and thousands of hosts.
• Learning: Grow professionally in a culture that thrives on curiosity and feedback.
• Great People: Join a team of smart, motivated, and international colleagues who challenge and support each other.
• Technology: Work in a modern tech environment.
• Flexibility: Work a hybrid setup with 50% in-office time for collaboration, and spend up to 8 weeks a year from other inspiring locations.
• Perks on Top: Of course, we also offer travel benefits, gym discounts, and other perks to keep you energized.

Experience

• 4+ years of experience in Software Engineering, Data Engineering, DevOps, or MLOps.
• Strong hands-on skills in Python , you write clean, production-quality code.
• Experience with CI/CD, Docker, and infrastructure-as-code (e.g., Terraform).
• Familiarity with cloud platforms (AWS preferred) and deploying services in production.
• Exposure to or interest in ML model deployment (MLflow, SageMaker, or similar) is a strong plus.
• Desire to learn and use cutting-edge LLM tools and agents to improve your and the entire team's productivity.
• A proactive, hands-on mindset: you take ownership, spot problems, and drive solutions forward.

How to apply

If you're excited about this opportunity, please submit your application on our careers page!

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At Temporal, you'll work with cloud-native, highly scalable infrastructure spanning AWS, GCP, Kubernetes, and microservices. You'll gain deep expertise in container orchestration, networking, and observability while learning from complex, real-world customer use cases.

As a Staff Developer Success Engineer, you'll work directly with developers to debug complex infrastructure issues, optimize cloud performance, and enhance reliability for Temporal users. You'll develop observability solutions (Grafana, Prometheus), improve networking (load balancing, DNS, ingress/egress), and automate infrastructure operations (Terraform, IaC) to help customers run Temporal efficiently at scale.

Once ramped up, we expect you to independently drive technical solutions, whether debugging complex production issues or designing infrastructure best practices. Don't worry, we have seasoned engineers and mentors to support you along the way!

As a Staff Developer Success Engineer you will engage directly with developers, engineering teams, and product teams to understand infrastructure challenges and provide solutions that enhance scalability, performance, and reliability.

Your insights will influence platform improvements, from enhancing observability tooling to developing self-service infrastructure solutions that simplify troubleshooting (e.g., building diagnostic tools similar to Twilio’s Network Test).

You’ll serve as a bridge between developers and infrastructure, ensuring that reliability, performance, and developer experience remain top priorities as Temporal scales.

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You'll partner with engineers to build dev tools that empower developer workflows and deployment infrastructure. Ensure reliability of multi-cloud Kubernetes clusters and pipelines. Implement metrics, logging, analytics, and alerting for performance and security across all endpoints and applications. Automate operations and engineering, focusing on automation so we can spend energy where it matters.

You'll also build machine learning infrastructure that enables AI teams to train, test, and deploy on large-scale datasets.

We're looking for someone with 5+ years of experience in DevOps, Site Reliability Engineering, Production Engineering, or equivalent field. You should have deep proficiency with coding languages such as Golang or Python, and deep familiarity with container-related security best practices. Production experience working with Kubernetes, and a deep understanding of the Kubernetes ecosystem, including popular open-source tooling such as cert-manager or external-dns. Experience with GPU-enabled clusters is a bonus.

Perks & Benefits:

• Comprehensive medical, dental, and vision coverage with plans to fit you and your family
• Flexible PTO to take the time you need, when you need it
• Paid parental leave for all new parents welcoming a new child
• Retirement savings plan to help you plan for the future
• Remote work setup budget to help you create a productive home office
• Monthly wellness and communication stipend to keep you connected and balanced
• In-office meal program and commuter benefits provided for onsite employees

Compensation at Cresta:

Cresta's approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table. The posted base salary range represents what we expect to pay for this role in a given location. Final offers are shaped by factors like experience, skills, education, and geography. In addition to base pay, total compensation includes equity and a comprehensive benefits package for you and your family.

OTE Range: $205,000–$270,000 + Offers Equity

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Key responsibilities include:

• Scaling the decision-making process for tools for the tvScientific AI team, from our workflows to our training infrastructure to our Kubernetes deployments
• Improving the developer experience for the data science team
• Upgrading our observability tooling
• Serving as a technical lead and mentor to the team
• Making every deployment smooth as our infrastructure evolves

Requirements include:

• Deep understanding of Linux
• Excellent writing skills
• A systems-oriented mindset
• Experience in high-performance software (RTB, HFT, etc.)
• Software engineering experience + reliability (e.g. CI/CD) expertise
• Strong observability instincts
• Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
• Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)
• High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables

Nice-to-haves include:

• Reverse-engineering experience
• Terraform, EKS, or MLOps experience
• Python, Scala, or Zig experience
• NixOS experience
• Adtech or CTV experience
• Experience deploying a distributed system across multiple clouds
• Experience in hard real-time low-latency

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You will partner with engineers to build dev tools that empower developer workflows and deployment infrastructure.

Ensure reliability of multi-cloud Kubernetes clusters and pipelines.

Metrics, logging, analytics, and alerting for performance and security across all endpoints and applications.

Infrastructure-as-code deployment tooling and supporting services on multiple cloud providers.

Automate operations and engineering.

Focus on automation so we can spend energy where it matters.

Building machine learning infrastructure that enables AI teams to train, test, and deploy on large-scale datasets.

We are looking for a highly skilled engineer with 5+ years of experience in DevOps, Site Reliability Engineering, Production Engineering, or equivalent field.

Deep proficiency with coding languages such as Golang or Python.

Deep familiarity with container-related security best practices.

Production experience working with Kubernetes, and a deep understanding of the Kubernetes ecosystem, including popular open-source tooling such as cert-manager or external-dns.

Experience with GPU-enabled clusters is a bonus.

Production experience with Kubernetes templating tools such as Helm or Kustomize.

Production experience with IAC tools such as Terraform or CloudFormation.

Production experience working with AWS and services such as IAM, S3, EC2, and EKS.

Production experience with other cloud providers such as Google Cloud and Azure is a bonus.

Production experience with database software such as PostgreSQL.

Experience with GitOps tooling such as Flux or Argo.

Experience with CI/CD such as GitHub Actions.

Perks and benefits include paid parental leave, monthly health and wellness allowance, and PTO.

Compensation includes a base salary, equity, and a variety of benefits.

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As a collaborative but highly autonomous working environment, each member has a defined role with clear expectations, as well as the freedom to pursue projects they find interesting.

Responsibilities:

• Partner with engineers to build dev tools that empower developer workflows and deployment infrastructure.
• Ensure reliability of multi-cloud Kubernetes clusters and pipelines.
• Metrics, logging, analytics, and alerting for performance and security across all endpoints and applications.
• Infrastructure-as-code deployment tooling and supporting services on multiple cloud providers.
• Automate operations and engineering. Focus on automation so we can spend energy where it matters.
• Building machine learning infrastructure that enables AI teams to train, test, and deploy on large-scale datasets.

What we are looking for:

• 5+ years experience in DevOps, Site Reliability Engineering, Production Engineering, or equivalent field.
• Deep proficiency with coding languages such as Golang or Python.
• Deep familiarity with container-related security best practices.
• Production experience working with Kubernetes, and a deep understanding of the Kubernetes ecosystem, including popular open-source tooling such as cert-manager or external-dns.
• Experience with GPU-enabled clusters is a bonus.
• Production experience with Kubernetes templating tools such as Helm or Kustomize.
• Production experience with IAC tools such as Terraform or CloudFormation.
• Production experience working with AWS and services such as IAM, S3, EC2, and EKS.
• Production experience with other cloud providers such as Google Cloud and Azure is a bonus.
• Production experience with database software such as PostgreSQL.
• Experience with GitOps tooling such as Flux or Argo.
• Experience with CI/CD such as GitHub Actions.

Perks & Benefits:

• We offer Cresta employees a variety of medical benefits designed to fit your stage of life.
• Flexible vacation time to promote a healthy work-life blend.
• Paid parental leave to support you and your family.

Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable.

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You will partner with engineers to build dev tools that empower developer workflows and deployment infrastructure. You will ensure the reliability of multi-cloud Kubernetes clusters and pipelines. You will also implement metrics, logging, analytics, and alerting for performance and security across all endpoints and applications.

You will focus on automation so we can spend energy where it matters. You will build machine learning infrastructure that enables AI teams to train, test, and deploy on large-scale datasets.

We're looking for someone with 5+ years of experience in DevOps, Site Reliability Engineering, Production Engineering, or equivalent field. You should have deep proficiency with coding languages such as Golang or Python. You should also have deep familiarity with container-related security best practices.

Production experience working with Kubernetes, and a deep understanding of the Kubernetes ecosystem, including popular open-source tooling such as cert-manager or external-dns, is required. Experience with GPU-enabled clusters is a bonus.

Production experience with Kubernetes templating tools such as Helm or Kustomize, and production experience working with IAC tools such as Terraform or CloudFormation, is a plus.

Production experience working with AWS and services such as IAM, S3, EC2, and EKS, and production experience with other cloud providers such as Google Cloud and Azure, is a bonus.

Experience with GitOps tooling such as Flux or Argo, and experience with CI/CD such as GitHub Actions, is a plus.

Compensation for this position includes a base salary, equity, and a variety of benefits.

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Responsibilities:

• Thorough, clear, concise documentation of new and existing standards, procedures, and automated workflows
• Championing of best practices and standards around infrastructure configuration and management
• Experience in creating internal products and managing their software development lifecycle
• Deployment, configuration, and management of infrastructure via infrastructure as code
• Working hands on with cloud infrastructure (AWS, Azure, and GCP)
• Working hands on with container infrastructure (Docker, Kubernetes, ECS, EKS, GKE, GAE, etc.)
• Configuration and management of Linux based tools and third-party cloud services
• Continuous improvement of our infrastructure, ensuring that it is highly available and observable

Minimum Requirements:

• Solid foundation of experience managing Linux systems in virtual environments (6+ years)
• Deploying and maintaining highly available infrastructure in one or more Cloud providers (5+ years, AWS or GCP preferred)
• Infrastructure as code using Terraform (4+ years)
• Creating, deploying, maintaining, and troubleshooting Docker images (4+ years)
• Scoping, deploying, maintaining and troubleshooting Kubernetes clusters (4+ years)
• Developing and maintaining an active codebase in Go, Python preferably (3+ years)
• Experience with PaaS technologies (5+ years, EKS and GKE preferred)
• Maintaining monitoring and observability tools (Datadog, Prometheus preferred)
• Thorough understanding of network infrastructure and concepts (VPNs, routers and routing protocols, TCP/IP, IPv4 and v6, UDP, OSI layers, etc.)
• Experience with load balancing and proxy technologies (Istio, Nginx, HAProxy, Apache, Cloud load balancers, etc.)
• Debugging and troubleshooting complex problems in cloud-native infrastructure.
• Slack native mentality.
• Bachelor’s Degree in Computer Science or a related technical discipline, or the equivalent combination of education, technical certifications, training, or work experience.

Abilities Required:

• Demonstrated ability to learn new technologies quickly and independently
• Strong technical, organizational and interpersonal skills
• Strong written and verbal communication skills
• Must be able to read, understand, and communicate complex problems and solutions in English over a textual medium (such as Slack)

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Key responsibilities include:

• Supporting the receipt, identification, and documentation of inventory
• Ensuring inventory stock levels and locations in the physical inventory locations match corresponding quantities and locations in the ERP system
• Collaborating cross-functionally across Anduril and developing strong working relationships with the Growth and Field Operations leads to ensure the successful execution of all deployments

The ideal candidate will have a minimum of 3+ years' experience in Material Management, Manufacturing Operations or a related field, and proficiency in Microsoft Office, including Word, Excel, and PowerPoint.

This is a full-time position with a salary range of $86,000-$114,000 USD per year, plus highly competitive equity grants and top-tier benefits.

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Your primary focus will be on designing, implementing, and scaling core Kubernetes platform capabilities used across ~70 clusters, spread across multiple environments. You'll also lead foundational modernization efforts, such as migrating to a new CNI plugin to overhaul IP security rule management across clusters and regions.

In addition to your technical expertise, you'll collaborate closely with product and security teams to power a rapidly growing enterprise business. You'll spend roughly 70% of your time in hands-on engineering and 30% in design reviews, mentorship, and cross-team collaboration.

To succeed in this role, you'll need 8+ years of software engineering experience, with deep expertise building and operating a Kubernetes-based internal service platform. You'll also need a strong understanding of Kubernetes internals, including controllers/operators, CRDs, networking, and cluster architecture.

If you're excited about building internal platforms, shaping infrastructure strategy, and partnering closely with product and security teams, we'd love to hear from you.

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As a Principal Engineer, you will:

• Collaborate and communicate with Payments Engineering teams to design, develop, and champion best-practices, patterns, and standards for all payments applications.
• Work closely with our CTO and other architects to create holistic technology solutions for our customers.
• Be part of the Tech Leads group, driving measurable outcomes and iterative delivery strategy, removing roadblocks, empowering others, and mentoring high-potential engineers.
• Produce clear, detailed, and actionable design documents, architecture blueprints, architectural decisions with context, decision, and tradeoffs.
• Be involved in hands-on development of proof-of-concepts, prototypes, and real production-ready code.
• Mentor engineers on architecture best practices and standards.
• Engage in all phases of the software lifecycle - design, implement, test, deploy, and support services in production.
• Maintain a culture of code quality through rigorous testing, automation, and code reviews.
• Be proactive and innovative - we rely on your feedback to build a world-class product.

We're seeking individuals with an equal flair for creative problem-solving, enthusiasm for new technologies, and a desire to contribute to our product. You will likely be successful in this role if you identify with the following traits: attention to detail, problem solver, customer-oriented, versatile, resilient, and confident.

If all of this sounds interesting to you, we'd love to hear from you.

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Key responsibilities include:

• Conducting end-to-end assessments of our core banking platform
• Performing code reviews to identify logic flaws and security anti-patterns
• Participating in threat modelling sessions with different teams
• Contextualising technical vulnerabilities into 'Real-World Risk' scenarios
• Collaborating with Infrastructure teams to audit and secure cloud configurations
• Acting as an independent operator within the team, managing your own testing scope and timelines across different business domains
• Providing clear, actionable remediation advice that balances security requirements with engineering velocity

Requirements include:

• 5+ years experience in penetration testing with a focus on cloud native infrastructure, web applications, APIs
• Expert-level proficiency with industry-standard tools and the ability to 'go manual' when scanners fail
• Experience with Cloud Security, specifically AWS/EKS
• Ability to conduct code reviews in multiple languages, primarily Java and Go
• Proven experience in threat modelling
• SDLC knowledge
• Scripting skills

Soft skills include:

• Exceptional written and spoken communication skills
• Self-starting nature
• Ability to work independently while remaining a collaborative partner to the wider engineering team
• Adaptability

Benefits include:

• 25 days holiday (plus take your public holiday allowance whenever works best for you)
• An extra day's holiday for your birthday
• Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off
• 16 hours paid volunteering time a year
• Salary sacrifice, company enhanced pension scheme
• Life insurance at 4x your salary & group income protection
• Private Medical Insurance with VitalityHealth including mental health support and cancer care

About Us

You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion.

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You will have the opportunity to lead multiple complex projects from inception through to run, get hands-on when needed, using your strong system design skills to help the team make smart architectural decisions and unblock complex challenges. You will take ownership of technical challenges critical to the success of the business, identify where existing tooling, applications, or processes can be enhanced and deliver innovative change.

Collaborate with clients, solution architects, product owners, and other engineers to help meet the client goals. Obtain a wide and varied understanding of how banks operate around the world. Shape the future capabilities of Engine, including our approach, tooling, automation, and architecture.

As an Engineer, you will contribute to our award-winning platform and internal tooling, build new features and products from scratch in a configurable way, share your knowledge with those around you, contributing to our learning culture, own your projects, working in small teams across the bank to collaboratively deliver, and aim for greatness in everything you do, staying curious and inquisitive.

We're open-minded when it comes to hiring and care more about aptitude and attitude than specific experience or qualifications. We believe in clean coding, simple solutions, automated testing, and continuous deployment. If you care enough to find elegant solutions to difficult technical problems, we'd love to hear from you.

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As a company, everyone is expected to roll up their sleeves to help deliver great outcomes for our clients. We are an engineering-led company and we’re looking for people who are excited by the potential for Engine’s technology to transform banking in different markets around the world.

Our purpose is underpinned by five values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

We’re looking for Backend Software Engineers to work on the Engine Platform and make our existing features work for banks all over the world as well as building new features from scratch that Starling hasn’t released in the UK market.

Engine by Starling engineers are excited about helping us deliver new features, regardless of what their primary tech stack may be. Hear more from the team in some case studies, below, and our work with Women In Tech.

We are looking for engineers at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they can make to banking around the world.

As an Engineer you will:

• Contribute to our award-winning platform and internal tooling

• Build new features and products from scratch in a configurable way

• Share your knowledge with those around you, contributing to our learning culture

• Own your projects, working in small teams across the bank to collaboratively deliver

• Aim for greatness in everything you do, staying curious and inquisitive

• Be part of a scaling team and organisation as we change banking for good

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This platform enables the execution of large-scale performance and load tests, helping ensure products and game titles are stable, scalable, and launch-ready.

Responsibilities:

• Collaborate with architect, senior engineers, and product stakeholders to design and deliver distributed, scalable, secured platform solutions that enhance player experience.
• Build responsive frontend interfaces using React and develop backend services and APIs using Python and Java.
• Contribute across the full product lifecycle — requirements gathering, design, implementation, testing, deployment, and production support.
• Write clean, maintainable, and well-tested code following engineering best practices, and participate in peer code reviews.
• Improve platform reliability, scalability, and maintainability by resolving production issues, reducing technical debt, and optimizing system performance.
• Troubleshoot live incidents, identify root causes, and implement fixes to maintain high service reliability.
• Collaborate with cross-functional teams and internal product users to gather feedback, extend platform capabilities, and support operational needs.
• Support automation initiatives including CI/CD pipelines, testing frameworks, and developer tooling to improve team efficiency.
• Contribute to observability through logging, metrics, and alerts, and maintain clear technical documentation for services, APIs, and operational procedures.
• Leverage modern development tools, including AI-assisted engineering workflows, to enhance productivity and code quality.

Requirements:

• Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field.
• 3–6 years of hands-on software engineering and full-stack development experience.
• Proficient in multiple programming languages and frameworks, including Python, Java, ReactJS, TypeScript, NodeJS, HTML, CSS, DOM, Linux.
• Strong understanding of end-to-end system design, distributed computing, scalable platform architecture
• Experience building and integrating REST APIs following best practices
• Experience with cloud computing services such as AWS EC2, AMI, ECS, EKS, S3, VPC, DynamoDB, Lambda, ElastiCache, SQS, ECR, ALB, API Gateway and IAM.
• Solid grasp of networking fundamentals (TCP/IP, DNS resolution, TLS/SSL, HTTP/HTTPS) and how internet communication works
• Skilled in DevOps pipelines and CI/CD workflows, particularly using GitLab & Jenkins.
• Hands-on experience with containerization, orchestration, and infrastructure tools such as Docker, Kubernetes, and Terraform.
• Proficient with SQL(MySQL) and NoSQL(MongoDB) databases
• Strong collaboration skills, with the ability to work effectively in cross-functional teams and adept at solving complex technical problems.
• Excellent written and verbal communication, with a motivated, self-driven approach and the ability to operate autonomously.

Bonus Qualifications:

• Familiar with multiple cloud service offerings like GCP, Azure
• Familiar with load testing frameworks like Gatling, K6
• Familiar with GoLang, ClickhouseDB
• Familiar in visualization & monitoring tools (like Prometheus, Grafana, Loki, Datadog etc.,)

About Electronic Arts

We're proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.

We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.

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What you'll do

As an Environmental Co-op/Intern, you will be responsible for a variety of tasks, including:

• Project management
• Problem analysis
• Investigating new technologies and implementing countermeasures

What you need

To be successful in this role, you will need to possess the following skills:

• Legally authorized to work in the U.S. without sponsorship
• General Coursework
• Minimum 2.5 Cumulative GPA or higher
• Class status- Sophomore (by credit hour) or above
• Availability to work a minimum of 10 weeks at 40 hours per week
• Enrollment in a Bachelor's or Master's degree program studying Environmental Science, Occupational Health & Safety, Industrial Hygiene, Chemical Engineering, or related field
• Valid U.S. Driver's License (exceptions considered on a case-by-case basis)
• Ability to secure own transportation to and from work each day

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What you'll do

• Weld various materials together via various welding processes (Resistance Spot welding as the primary) via structured test developed by Honda associates.
• Destructive analysis of the welded samples (Cross sections and tensile tester use). This includes sample preparation for Macrograph analysis. Data logging and analysis to create lab reports for explanation of results. Material management for testing and general support of other processes in the weld lab, including testing consumables.

What you need

• Legally authorized to work in the U.S. without sponsorship
• General Business Coursework
• Minimum 2.5 Cumulative GPA or higher (You will be required to provide your current transcript)
• Class status- Sophomore (by credit hour) or above
• Availability to work a minimum of 10 weeks at 40 hours per week
• Enrollment in a Bachelor's or Master's degree program studying Welding Engineering or related field.
• Valid U.S. Driver's License (exceptions considered on a case-by-case basis)
• Ability to secure own transportation to and from work each day

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What you'll do

• Focus on equipment, process, quality and new model activities related to the department of placement
• Project management
• Problem analysis
• Production support
• Investigating new technologies and implementing countermeasures

What you need

• Legally authorized to work in the U.S. without sponsorship
• General Engineering Coursework
• Minimum 2.5 Cumulative GPA or higher
• Class status- Sophomore (by credit hour) or above
• Availability to work a minimum of 10 weeks at 40 hours per week
• Enrollment in a bachelor's or master's degree program studying Mechanical Engineering or related field
• Valid U.S. Driver's License (exceptions considered on a case-by-case basis)
• Ability to provide own transportation to and from work each day
• Desired: Auto computer-aided design, Computer-Aided Three-Dimensional Interactive Application (CATIA), Manufacturing related coursework

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