Responsibilities:

• Design, implement, and maintain secure CI/CD pipelines for automating deployment, configuration, and testing processes.
• Integrate security into the release workflow and ensure that all CI-CD tools are compliant from security perspective
• Understand developer workflows and Build Systems to improve build times
• Partner with other engineering teams and develop scalable tools and infrastructure to develop, test, debug and release software quickly
• Design, develop and deliver distributed engineering build tools and platforms for a variety of codebase languages
• Help maintain the backend infrastructure that supports our Dev test environments
• Develop and improve instrumentation for monitoring and logging the health and availability of services
• Follow best practices for development
• Participate in code and system design reviews

Requirements:

• 5+ years of software development experience.
• In-depth knowledge of running/managing UNIX-like operating systems (we use Ubuntu).
• Experience with containerisation technologies (e.g., Docker, Kubernetes) and securing containerised environments.
• Knowledge of implementing security in CI/CD pipelines
• Experience of various FOSS tools for monitoring, graphing, capacity planning, and logging.
• Experience with Cloud Computing platforms like Amazon AWS, Google Cloud Platform, Heroku.
• Experience with IaaC tools like Ansible, Puppet, Terraform.
• Ability to analyse bottlenecks in architecture and quickly debug to reach resolution for issues
• Have an automation mindset and ability to reason and work with complex systems.
• Excellent communication and documentation skills

Good to have:

• You’re familiar with building and writing in one of the following languages: Python, Shell, Java, Clojure
• You’re familiar with either of IntelliJ, VSCode, Emacs IDE and can help developers with their IDEs
• Familiar with the Challenges of Testing
• Comfortable using CLI tools for achieving day-to-day tasks.
• Systematic problem-solving approach, coupled with excellent communication skills and a sense of ownership and drive
• Drive task to the finish line with high quality and on time
• Experience in Designing and building solutions that are highly scalable, fault tolerant and cost-effective

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Key responsibilities include:

• Infrastructure Ownership: Ensure complete monitoring coverage, troubleshoot and fix production issues.
• Infrastructure as Code (IaC): Design and maintain scalable GCP infrastructure using Terraform.
• AI Orchestration & LLMOps: Build deployment pipelines for AI agents, managing vector databases (e.g., Vertex AI Search, Pinecone, Weaviate, ElasticSearch) and model endpoints.
• Security (DevSecOps): Implement 'Security-by-Design,' including IAM least-privilege access, secret management (Secret Manager), and automated vulnerability scanning for AI workloads.
• CI/CD Excellence: Architect high-velocity pipelines for both traditional microservices and AI model prompts/configurations.
• Observability: Set up comprehensive monitoring for system health and LLM-specific metrics (latency, token usage, and cost).
• Cloud Governance: Optimise GCP costs and manage resource quotas, especially for GPU/TPU-intensive AI tasks.
• Cross Cloud Deployment: Establish & Optimise the connectivity among apps deployed in different cloud environments (AWS < GCP)

Requirements:

• Relevant experience of 6+ years and above
• Expert-level Google Cloud Platform (GCP) administration skills: GKE, Cloud Run, Vertex AI, GCS, NEG etc
• Experience deploying Vector Databases (Pinecone, Weaviate, ElasticSearch or Vertex Search) and managing API rate limits/throttling for LLM providers.
• Setting up Cloud Monitoring/Logging specifically for AI metrics: token consumption, inference latency, and model error rates.
• In-depth knowledge of running/managing UNIX-like operating systems (we use Ubuntu)
• Strong knowledge of networking protocols, security architectures, and identity and access management (IAM) principles.
• Experience with containerisation technologies (e.g., Docker, Kubernetes) and securing containerised environments.
• Proficiency in Python and Bash
• Experience in designing and building solutions that are highly scalable, fault tolerant and cost-effective
• Experience with IaaC tools like Ansible, Terraform.
• Ability to analyse bottlenecks in architecture and quickly debug to reach a resolution for issues
• Have an automation mindset and ability to reason and work with complex systems.
• Excellent communication and documentation skills
• Quick learner and good mentor for junior team members

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When new product ideas are identified, our software engineers are responsible for designing, developing, testing, and deploying the products from the ground up, while continuously iterating with product management and customers for feedback and input.

This position follows the Company’s hybrid schedule which currently requires employees to work in the Durham, NC or Addison, TX office a minimum of three days per week.

Responsibilities:

• Design, develop, and deploy AI Agents and machine learning models to solve complex business problems
• Create and maintain backend systems for LLMs and AI Agents, ensuring high performance and scalability
• Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows
• Optimise and fine-tune models and AI Agents for performance, accuracy, and efficiency
• Implement and manage CI/CD pipelines for AI model and AI Agent deployment
• Monitor and troubleshoot AI systems in production, ensuring reliability and robustness
• Stay updated with the latest advancements in AI, machine learning, AI Agents, and related technologies

Requirements:

• Education: Bachelor's degree or equivalent experience grown
• CS Degree preferred
• Experience: 3+ years of professional experience
• Proven experience as an AI Developer, AI Engineer, or similar role
• Expert knowledge of at least one of Golang (preferred), Python or Java and experience with Kubernetes
• Strong understanding of machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch)
• Experience with LLMs, AI Agents, and natural language processing (NLP) techniques
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerisation technologies
• Demonstrates sound judgment for balancing between rapid development, and long-term code maintainability and supportability
• Communicates effectively, both technically and non-technically, as well as in written and oral forms
• Believes in the power of and the need for writing automated tests as part of development
• Skilled debugger who can put out fires under pressure when things go wrong in production environments
• Has knowledge of a variety of modern software frameworks (server side & browser side) and the versatility to learn new tools
• Detail-oriented and passionate for creating an awesome user experience

Benefits:

• Annual base salary range: $100,000 - $295,000
• Equity awards
• Generous benefits package consisting of medical, dental and vision plan, family planning benefits, health savings account, flexible spending account, transportation savings account, 401(k) retirement savings plan with company match, life, accident and disability coverage, business travel accident insurance, employee assistance programs, disability insurance, and other well-being benefits

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You will be part of the DevOps team at Helpshift, responsible for creating, maintaining, scaling, and securing infrastructure used by many teams for critical workloads. The team works in various areas, including production and development infrastructure provisioning and maintenance, database infrastructure, automations, core infrastructure, security and compliance, and engineering processes.

Responsibilities:

• Design, implement, and maintain secure CI/CD pipelines for automating deployment, configuration, and testing processes.
• Own Helpshift production services and ensure complete monitoring coverage, troubleshoot, and fix production issues.
• Build a seamless zero-downtime process to upgrade our core infrastructure (ScyllaDB, Elasticsearch, Kafka, MongoDB, Redis).
• Collaborate with development and operations teams to integrate security practices into the software development lifecycle.
• Conduct regular security assessments, vulnerability scans, and penetration testing to identify and mitigate security risks.
• Develop and maintain infrastructure as code (IaC) templates for provisioning and configuring cloud resources securely.
• Monitor and respond to production incidents, including investigation, containment, and remediation activities.
• Stay up-to-date with the latest security threats, vulnerabilities, and best practices, and make recommendations for continuous improvement.

Requirements:

• Relevant experience of 5+ years and above.
• In-depth knowledge of running/managing UNIX-like operating systems (we use Ubuntu).
• Strong knowledge of networking protocols, security architectures, and identity and access management (IAM) principles.
• Experience with containerisation technologies (e.g., Docker, Kubernetes) and securing containerised environments.
• Experience in designing and building solutions that are highly scalable, fault-tolerant, and cost-effective.
• Experience of various FOSS tools for monitoring, graphing, capacity planning, and logging.
• Experience with IaaC tools like Ansible, Puppet, and Terraform.
• Experience with cloud computing platforms like Amazon AWS, Google Cloud Platform, and Heroku.
• Experience with managing NoSQL and RDBMS.
• Experience with queuing systems (Kafka, RabbitMQ) and Big data platforms (Hadoop).
• Good programming skills with a focus on scripting (Python, Shell, Perl).
• Ability to analyse bottlenecks in architecture and quickly debug to reach resolution for issues.
• Have an automation mindset and the ability to reason and work with complex systems.
• Excellent communication and documentation skills.
• Quick learner and good mentor for junior team members.

Benefits:

• Hybrid setup
• Worker's insurance
• Paid Time Offs
• Other employee benefits to be discussed by our Talent Acquisition team in India.

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We are looking for a Software Engineer – Developer Productivity to help improve the productivity of the entire engineering team. You will be responsible for everything from our build and testing automation, to the packaging and release of the final product.

Responsibilities

• Design, implement, and maintain secure CI/CD pipelines for automating deployment, configuration, and testing processes.
• Integrate security into the release workflow and ensure that all CI-CD tools are compliant from a security perspective.
• Understand developer workflows and build systems to improve build times.
• Partner with other engineering teams and develop scalable tools and infrastructure to develop, test, debug, and release software quickly.
• Design, develop, and deliver distributed engineering build tools and platforms for a variety of codebase languages.
• Help maintain the backend infrastructure that supports our Dev test environments.
• Develop and improve instrumentation for monitoring and logging the health and availability of services.
• Follow best practices for development.
• Participate in code and system design reviews.

Requirements

• 5+ years of software development experience.
• In-depth knowledge of running/managing UNIX-like operating systems (we use Ubuntu).
• Experience with containerisation technologies (e.g., Docker, Kubernetes) and securing containerised environments.
• Knowledge of implementing security in CI/CD pipelines.
• Experience of various FOSS tools for monitoring, graphing, capacity planning, and logging.
• Experience with Cloud Computing platforms like Amazon AWS, Google Cloud Platform, Heroku.
• Experience with IaaC tools like Ansible, Puppet, Terraform.
• Ability to analyse bottlenecks in architecture and quickly debug to reach resolution for issues.
• Have an automation mindset and ability to reason and work with complex systems.
• Excellent communication and documentation skills

Good to Have

• Familiarity with building and writing in one of the following languages: Python, Shell, Java, Clojure.
• Familiarity with either of IntelliJ, VSCode, Emacs IDE and can help developers with their IDEs.
• Familiarity with the challenges of testing.
• Comfortable using CLI tools for achieving day-to-day tasks.
• Systematic problem-solving approach, coupled with excellent communication skills and a sense of ownership and drive.
• Drive task to the finish line with high quality and on time.
• Experience in designing and building solutions that are highly scalable, fault-tolerant, and cost-effective.

Benefits

• Hybrid setup.
• Worker's insurance.
• Paid Time Offs.
• Other employee benefits to be discussed by our Talent Acquisition team in India.

Helpshift embraces diversity. We are proud to be an equal opportunity workplace and do not discriminate on the basis of sex, race, color, age, sexual orientation, gender identity, religion, national origin, citizenship, marital status, veteran status, or disability status.

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We are seeking an experienced DevOps Engineer to join our team. As a DevOps Engineer, you will play a pivotal role in ensuring the security, scalability, and reliability of our infrastructure and applications.

Responsibilities:

• Design, implement, and maintain secure CI/CD pipelines for automating deployment, configuration, and testing processes.
• Own Helpshift production services and ensure complete monitoring coverage, troubleshoot and fix production issues.
• Build a seamless zero-downtime process to upgrade our core infrastructure (ScyllaDB, Elasticsearch, Kafka, MongoDB, Redis).
• Collaborate with development and operations teams to integrate security practices into the software development lifecycle.
• Conduct regular security assessments, vulnerability scans, and penetration testing to identify and mitigate security risks.
• Develop and maintain infrastructure as code (IaC) templates for provisioning and configuring cloud resources securely.
• Monitor and respond to production incidents, including investigation, containment, and remediation activities.
• Stay up-to-date with the latest security threats, vulnerabilities, and best practices, and make recommendations for continuous improvement.

Requirements:

• Relevant experience of 5+ years and above.
• In-depth knowledge of running/managing UNIX-like operating systems (we use Ubuntu).
• Strong knowledge of networking protocols, security architectures, and identity and access management (IAM) principles.
• Experience with containerisation technologies (e.g., Docker, Kubernetes) and securing containerised environments.
• Experience in Designing and building solutions that are highly scalable, fault tolerant and cost-effective.
• Experience of various FOSS tools for monitoring, graphing, capacity planning, and logging.
• Experience with IaaC tools like Ansible, Puppet, Terraform.
• Experience with Cloud Computing platforms like Amazon AWS, Google Cloud Platform, Heroku.
• Experience with managing NoSQL and RDBMS.
• Experience with queuing systems (Kafka, RabbitMQ) and Big data platforms (Hadoop).
• Good programming skills with focus on scripting (Python, Shell, Perl).
• Ability to analyse bottlenecks in architecture and quickly debug to reach resolution for issues.
• Have an automation mindset and ability to reason and work with complex systems.
• Excellent communication and documentation skills.
• Quick learner and good mentor for junior team members

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Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the Team

Our team is organised around the north star goal of building an AI scientist – a system capable of solving the long term reasoning challenges and basic capabilities necessary to push the scientific frontier. Our team likes to think across the whole model stack. Currently the team is focused on improving models' abilities to use computers – as a laboratory for long horizon tasks and a key blocker to many scientific workflows.

About the role

As a Research Engineer on our team you will work end to end, identifying and addressing key blockers on the path to scientific AGI. Strong candidates should have familiarity with language model training, evaluation, and inference, be comfortable triaging research ideas and diagnosing problems and enjoy working collaboratively. Familiarity with performance optimisation, distributed systems, vm/sandboxing/container deployment, and large scale data pipelines is highly encouraged.

Join us in our mission to develop advanced AI systems that are both powerful and beneficial for humanity.

Responsibilities:

• Working across the full stack to identify and remove bottlenecks preventing progress toward scientific AGI
• Develop approaches to address long-horizon task completion and complex reasoning challenges essential for scientific discovery
• Scaling research ideas from prototype to production
• Create benchmarks and evaluation frameworks to measure model capabilities in scientific workflows and computer use
• Implement distributed training systems and performance optimisations to support large-scale model development

You may be a good fit if you:

• Have 8+ years of ML research experience
• Are familiar with large scale language model training, evaluation, and inference pipelines
• Enjoy obsessively iterating on immediate blockers towards longterm goals
• Thrive working collaboratively to solve problems
• Have expertise in performance optimisation and distributed computing systems
• Show strong problem-solving skills and ability to identify technical bottlenecks in complex systems
• Can translate research concepts into scalable engineering solutions
• Have a track record of shipping ML systems that tackle challenging multi-step reasoning problems

Strong candidates may also have:

• Expertise with performance optimisation for language model inference and training
• Experience with computer use automation and agentic AI systems
• A history working on reinforcement learning approaches for complex task completion
• Knowledge of containerisation technologies (Docker, Kubernetes) and cloud deployment at scale
• Demonstrated ability to work across multiple domains (language modelling, systems engineering, scientific computing)
• Have experience with VM/sandboxing/container deployment and large-scale data processing
• Experience working with large scale data problem solving and infrastructure
• Published research or practical experience in scientific AI applications or long-horizon reasoning

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification.** Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us.** To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science.

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