App Framework Team • 80% Backend / 20% Frontend • 8+ Years

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that unifies identity, intelligence, and omnichannel activation into a single platform – powered by trillions of consumer signals and one of the industry’s largest proprietary databases. Our enterprise clients use the Zeta Marketing Platform (ZMP) to personalize experiences at the individual level across every channel.

The App Framework team is building something foundational: an Agentic App Builder platform on top of ZMP that enables teams across Zeta to develop, deploy, and operationalize applications that integrate with ZMP’s core capabilities – identity, intelligence, activation, and measurement. Think of it as the platform that powers the next generation of applications at Zeta, with AI and agentic workflows built into the development experience itself.

As a Lead Full Stack Engineer, you’ll shape the architecture of this platform from the ground up. You’ll partner with product owners and engineering teams across the organization to understand what application builders need, design the backend services and APIs that make it possible, and build the frontend experiences that make it intuitive. You’ll own what you build end-to-end – from requirements through production operations – with a focus on architectural simplicity, developer experience, and operational excellence.

We develop using AI-assisted workflows (Cursor, Claude Code) and ship through continuous delivery. This is a rare opportunity to build a platform that fundamentally changes how applications are created at an enterprise scale.

What you’ll Do:

• Design and build the Agentic App Builder platform – the services, APIs, and developer tools that enable teams to create, deploy, and manage applications on top of ZMP fast and at scale.
• Build intuitive frontend experiences in React/TypeScript that make the platform accessible and productive for application builders.
• Ship continuously and confidently through CI/CD, with observability, resilience and reliability built in from the start.
• Embed AI/LLM capabilities into the platform to enable agentic application development and intelligent automation.
• Use AI-assisted development tools as a core part of your workflow to accelerate delivery while maintaining high quality.
• Collaborate with teams across Zeta to gather requirements, align on integration patterns, and ensure the platform meets real-world application needs.
• Mentor engineers, lead technical initiatives, and help establish the engineering practices and standards for the platform.

What We’re Looking For:

8+ years of software engineering with a track record of building and operating platform-level systems. You’re deeply proficient in at least two of Python, Java, Ruby, or Node.js, with solid React/TypeScript skills on the frontend. You understand what it takes to build developer-facing platforms in the age of AI.

You bring hands-on experience with AWS services and you’re comfortable operating in multi-tenant, compliant environments. Continuous delivery, test-driven development, and agile are disciplines you practice with conviction. You’re already using AI-assisted coding tools and you’re excited about building platforms that leverage agentic workflows.

You’re a strong communicator who thrives on cross-team collaboration. You enjoy working with product owners to define problems, proposing architectures, building alignment, and then delivering. You bring energy and curiosity to your work, and you elevate the people around you.

Nice to Have:

• Experience building agentic developer platforms, internal tooling, or app builder/low-code systems.
• MarTech or AdTech domain knowledge (DSPs, bid stream processing, data-intensive platforms).
• Familiarity with our data stores: MySQL, Snowflake, Aerospike, DynamoDB, S3.
• Experience designing plugin architectures, SDK/API frameworks, or extensible platform systems.

Tech Stack:

Why You’ll Love It Here:

• Build a foundational platform that shapes how every application at Zeta gets created – high-impact, high-visibility work from day one.
• AI-native engineering culture – agentic development is how we build, and you’ll be building the platform that brings it to others.
• Real ownership and autonomy. We trust our engineers to make great decisions and give them the space to do it.
• Collaborative, low-ego team that genuinely enjoys working together and learning from each other.
• Public company (NYSE: ZETA) with strong growth, competitive compensation, equity, and comprehensive benefits.

WHO WE ARE 

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.

PEOPLE & CULTURE AT ZETA

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.  

We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here:  https://zetaglobal.com/blog/a-look-into-zetas-ergs/ 

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases 

Job Summary

We are seeking an Application Support Engineer II to join our 24x7 Follow the Sun support team. You will be the front line for alert response and resolution, collaborating with cross-functional teams to identify and resolve technical issues, alerts, and cases. Effective communication with customers and stakeholders is essential, as you will need to relay status updates and escalate issues as necessary. The role demands excellent troubleshooting and problem-solving skills. Hybrid work options may be available, offering flexibility while maintaining round-the-clock support.

Essential Duties and Responsibilities

• Work Customer issues in assigned SalesForce queue by troubleshooting application issues, and closing the loop with all parties involved.
• Contribute to the definition and management of application layer technology standards and processes including but not limited to: software version, configuration management, load balancing, database connectivity, and release/maintenance management.
• Monitoring tool administration (ProActiveNet, AlertSite, datadog, cloudwatch, PRTG, PagerDuty, graylog, Kibana, custom scripts).
• Support new customer implementations and the transitions from lower environments to production support.
• Respond to technical application questions and issues raised by customers in support of our Operating Level agreements. Handle escalations using a swarming methodology.  Available in Hip Chat and Skype rooms during business hours.
• Respond to off hour’s pages and escalations.
• Participates in maintenance, performance testing, operations acceptance testing (OAT) and / or release activities as required.
• Administer assigned JIRA ticket queues and follow up with appropriate parties. Regularly, clearly and effectively communicate pertinent information to team members, management and customers according to Support service level standards.
• Provide feedback to product and development teams to improve usability and functionality of GHX applications. 
• Adopt and participate in Knowledge Centered Support (KCS) by creating and modifying articles in SalesForce.  Articles should be sufficient to resolve cases and major service disruptions.
• Other duties as assigned

Qualifications

• 2+ years of Application Support or related experience.
• Must be able to work from own initiative, learn quickly, and function effectively with team members in a high pressure and dynamic environment.
• Must demonstrate effective listening, verbal and written communication skills.
• Unix or Windows application production/customer support experience.     
• Customer-focused attitude.
• Experience with task automation.
• Experience with environment monitoring tools (Cloudwatch/Datadog/PagerDuty/etc...).
• Amazon Web Services (AWS) or cloud based architecture support experience.
• Ability to understand and work with complex enterprise application environments.
• Strong attention to detail and ability to follow established procedures.
• Familiarity with ITIL or MOF Change Management concepts (desired)
• Familiarity with Oracle/SQL Server and RDBMS concepts (desired)

Technical Skills (must have experience with a subset of the following):

• Windows and/or Unix OS proficiency
• AWS – Amazon Web Services
• Python, Perl, Unix and/or Windows scripting experience
• JBoss Application Server
• JSON and restful API experience
• Apache Tomcat
• IIS Application Server
• Understanding of OSI Model
• JVM monitoring tools (jvmstat, etc.)
• Network monitoring (snoop, NetMon)
• EDI (ANSI/X12), and XML knowledge
• HTTPS, AS2, SFTP protocols
• MySQL, MongoDB, DynamoDB, MSSQL, Oracle

Education / Certification(s)

• 4-year degree in computer science or related field or equivalent experience (required)

Role - Software Engineer III

GHX’s Intelligent Process Automation (IPA) platform eliminates manual, repetitive work and drive operational excellence. This role will focus on developing automation solutions that digitize business documents received via fax or PDF.

You will work with UiPath’s intelligent document understanding, while ensuring the design and implementation are adaptable to future automation platforms. Automation solutions are deployed in AWS Cloud, so cloud familiarity is key. You’ll collaborate closely with senior engineers, business analysts, and product teams to deliver automation that improves accuracy, reduces errors, and boosts productivity.

Key Responsibilities

Automation Development

• Analyze and understand the business processes to suggest process improvements and suggest IPA solutions around them.
• Build new automated workflows or support existing RPA/IPA workflows 
• Implement document processing pipelines using OCR, classification, and data extraction techniques.
• Develop platform-agnostic solutions that can be migrated to new tools if required.
• Integrate bots with enterprise systems via APIs or other interfaces.
• Follow established coding standards, testing protocols, and deployment guidelines.

Cloud & Infrastructure

• Deploy and maintain automation solutions in AWS environments.
• Utilize AWS services like EC2, S3, Lambda, DynamoDB, SQS/SNS for automation workflows.
• Monitor bot execution, troubleshoot failures, and optimize performance.

Collaboration

• Work with business analysts, solution architect and support engineers to understand requirements/automation failures and translate them into automation designs.
• Collaborate with QA teams to validate workflows before deployment.
• Participate in Agile ceremonies and provide input on estimation and planning.

Continuous Improvement

• Identify opportunities to enhance process efficiency and reduce errors.
• Contribute to reusable components, libraries, and best practices for the IPA team.
• Stay updated on new automation technologies and cloud capabilities.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 5-7 years of software development or automation experience, with at least 4 years in UiPath or similar Automation tools
• Experience in document processing and intelligent data extraction workflows.
• Familiarity with AWS services for application hosting and automation deployment.
• Experience with API integrations and scripting/programming in Python, C#, or JavaScript.

Preferred Qualifications

• UiPath Advanced Developer certification (or equivalent in other platforms).
• Experience with OCR/IDP tools like ABBYY, UiPath Document Understanding, or AWS Textract.
• Experience with UiPath’s AICenter and Orchestrator
• Familiarity with version control (Git) and CI/CD practices.
• Familiarity with OpenSearch and ability to create dashboards
• Exposure to Agile/Scrum environments.

Soft Skills

• Proactive problem solver with a strong ownership mindset.
• Comfortable working in fast-paced, evolving technology environments.
• Strong Communication, Presentation and Collaboration skills.
• Attention to detail and a commitment to delivering quality solutions.

Location: Hyderabad
Job Type: Full-time
Experience: 5-7 years (with at least 4 years in any RPA platform)

About the Role

Workato is looking for a Principal Technical Architect, AI to join as a Field Specialist operating at the intersection of applied AI engineering and customer-facing technical strategy. This is a dual-mandate role with an approximately equal split:

Mandate 1 – AI Field Specialist (Customer-facing): You will work directly with enterprise customers and prospects in pre-sales and post-sales engagements to define and architect their AI strategies on Workato. This includes designing agentic automation solutions, advising on the latest approaches and best practices, scoping AI agent implementations, and helping customers move from proof-of-concept to production-grade autonomous systems.

Mandate 2 – Agentic CS Platform (Internal initiative): You will be a core architect and developer on Workato's autonomous Customer Success agent initiative, a production-grade system that captures complete customer context to support reasoning, and compounds intelligence over time. You will own the agent and memory architecture, evals and learning loop, and autonomy framework that power this system.

This is a role for someone who builds agentic systems to orchestrate LLMs into reliable, auditable, enterprise-grade agent architectures, and who can articulate that vision to a customer CIO and technical leaders as fluently as they can implement it in code.

Workato has a positive, diverse, and collaborative culture; we look for people who are curious, inventive, smart, hardworking, and who work to be a little better every day.

Responsibilities

AI Field Specialist

• Support as an expert AI architect in strategic enterprise engagements: roadmapping customer AI agent use cases and delivering technical deep-dives that demonstrate Workato's agentic capabilities.
• Lead architecture workshops with enterprise customers to define their AI automation strategy, including agent design, integration patterns, and governance frameworks.
• Advise customers on applied AI best practices: prompt engineering and agent orchestration patterns, evaluation and testing strategies for agent systems, confidence calibration, human-in-the-loop design, and continuous learning loops.
• Build reusable technical assets, such as reference architectures, solution blueprints, demonstration environments, and best-practice documentation, that enable the broader field team to position AI solutions.
• Develop and deliver technical collateral: architecture white papers, webinars, blog posts, conference talks, etc. that establish Workato's thought leadership in agentic automation.
• Partner with Product and Engineering to feed field insights back into the platform roadmap, ensuring customer-facing AI capabilities evolve based on real deployment patterns.
• Support global strategic accounts across the US, EMEA, and APAC geographies as needed for critical engagements.
• May require up to 20% global travel.

Agentic CS Platform

• Architect and implement core subsystems of the autonomous CS agent platform, including memory layers, the agent orchestration layer, and the decision trace architecture.
• Design and build a Customer Knowledge Graph as a structured, semantic network that models customers, users, policies, decisions, and operational artifacts as interconnected entities and relationships, enabling queryable representation of contextual states, and policy evaluations for governance, traceability, and decision optimization.
• Implement the confidence-based autonomy framework, including precedent matching, confidence scoring (precedent match, pattern recognition, data completeness, policy clarity), and policy-governed escalation routing.
• Define and design infrastructure architecture to ensure optimal performance and latency.
• Take scalable technology selection decisions.
• Establish evaluation frameworks: define metrics for decision quality, context accuracy, and learning velocity (autonomous threshold increases month over month).

Requirements

Qualifications & Experience

• B.Tech/BE or higher in Computer Science, Engineering, or related field. 
• 15+ years of total relevant experience in enterprise software architecture, design, and implementation.
• 8+ years of hands-on experience with Integration Platforms (MuleSoft, TIBCO, Oracle SOA, webMethods, or similar). Deep familiarity with iPaaS architecture patterns is essential.
• 2+ years of applied AI/Agents engineering experience, specifically in building systems that leverage LLMs and agent frameworks, orchestrating them into production applications.

Applied AI & Agent Architecture (Must-Have)

• Hands-on experience designing and building AI agent systems: multi-step reasoning pipelines, tool-use orchestration, and autonomous execution frameworks.
• Working knowledge of Python agent frameworks such as LangGraph, Claude Agent SDK, or equivalent. LangGraph experience with persisted state and human-in-the-loop patterns is strongly preferred.
• Experience with graph database design and implementation: entity modeling, relationship extraction, graph querying, and using graph structures for contextual retrieval. Neo4j/NetworkX equivalent experience is a plus.
• Practical experience with RAG architectures, vector databases, embedding strategies, and hybrid retrieval (vector + structured + graph).
• Understanding of evaluation and testing for AI systems: building evals, measuring agent quality, confidence calibration, A/B testing of prompts/pipelines, and regression testing for non-deterministic outputs.
• Familiarity with prompt engineering at production scale: structured prompting, chain-of-thought patterns, output parsing, retry/fallback strategies, and prompt versioning.
• Experience with observability for LLM systems: tracing, token/cost monitoring, and latency profiling. Familiarity with Langfuse, LangSmith, Phoenix, or similar tools.
• Experience with MCP (Model Context Protocol) standards for LLM-to-system integration.

Integration & Enterprise Architecture (Must-Have)

• Strong expertise in enterprise integration patterns: event-driven architectures, microservices orchestration, pub/sub messaging, and data synchronization.
• Deep working knowledge of APIs: RESTful, SOAP, webhooks, and data formats (JSON, XML).
• Experience with cloud platforms (AWS, Azure, or GCP) and cloud-native services (Lambda/Functions, DynamoDB, Kafka/Kinesis, S3).
• Familiarity with enterprise applications: Salesforce, ServiceNow, SAP, Workday, NetSuite, or similar. Understanding how these systems participate in agentic workflows.
• Understanding of enterprise security and governance requirements: OAuth, SSO, data residency, SOX compliance, audit trails, and role-based access control.

Nice-to-Have

• Background in Customer Success platforms (Gainsight, ChurnZero) or CRM architecture.
• Prior experience in a customer-facing technical role (Solutions Architect, Field CTO, Technical Account Manager, or Pre-Sales Engineer) at a SaaS or platform company.
• Contributions to open-source AI/agent projects or published technical content in the applied AI space.

General Soft Skills

• Exceptional ability to communicate complex AI and architecture concepts to diverse audiences: from engineering teams to C-level executives: adapting depth and vocabulary to the room.
• Strong consultative instinct: able to listen to a customer's business problem, decompose it into architectural components, and propose a credible path forward in real-time.
• Entrepreneurial mindset with comfort operating in ambiguity: this role spans an internal build and an external advisory function, and requires someone who can context-switch and self-prioritize.
• Collaborative by default: able to work across Product, Engineering, Customer Success, Sales, and Marketing without needing formal authority.
• Excellent written communication: able to produce architecture documents, white papers, and technical briefs that are clear, precise, and persuasive.
• Fast learner who stays current with the rapidly evolving AI agent ecosystem and can distill emerging patterns into practical guidance.

(REQ ID: 2216)

Crunchyroll Engineering 

Crunchyroll’s Engineering teams thrive on action, impact, ownership, curiosity, and fan obsession. We embrace evolution, concise documentation, excellence, and empowering engineers. As part of our team, you’ll take ownership of tasks, delivering high-quality results on time, exceeding fans’ expectations. We foster collaboration, fearlessly exploring innovative solutions and challenging the status quo. Our commitment to learning and curiosity drives us to embrace change and tackle complex challenges head-on, revolutionizing the anime streaming experience for our community.

About the role

As a Software Engineer on the Service Monetization Team, you will help shape the future of our Service Monetization Platform. You will architect, build and optimize our subscriptions and payments platform that enables membership and powers revenue collection for Crunchyroll. Working with design, product, quality and data teams, you will solve complex challenges, optimize performance, and enhance user experience, directly contributing to the growth of the Crunchyroll fanbase. 

In the role of Software Engineer, you will report to the Engineering Manager in the Service Monetization organization.

About You

We get excited about candidates, like you, because 

• You’re an experienced and passionate Software Engineer with experience building robust and reliable backend services (2+ years of relevant experience in the software industry) 
• You’re experienced in Java, GoLang, Python, PHP, Typescript or Node.js
• You’re experienced with cloud technologies (API Gateway, Lambda, EC2, RDS, ECS)
• You’re experienced with databases (PostgresDB/MariaDB, DynamoDB/MongoDB)
• You’re experienced in operational excellence (on-call rotations, incident management)
• You excel in an Agile and collaborative environment, where your insights and expertise will help create technical solutions loved by our fans.

About the Team

The Service Monetization organization is responsible for building, maintaining, and securing systems that enable membership and collect payments information for Crunchyroll users. We are directly tied to many streams of revenue and pride ourselves on quality code, service reliability, and teamwork. Our day to day work includes integrations with payment providers, payments fraud detection and prevention, optimizations to reduce passive churn while maintaining PCI compliance. Our services process millions of payments in a highly secure, distributed, and scalable environment that is constantly evolving to meet the needs of both our fans and growing Crunchyroll business!

About the Role

As a Senior Software Backend Engineer on the Service Monetization Team, you will help shape the future of our Service Monetization Platform. You will architect, build and optimize our subscriptions and payments platform that enables membership and powers revenue collection for Crunchyroll. Working with design, product, quality and data teams, you will solve complex challenges, optimize performance, and enhance user experience, directly contributing to the growth of the Crunchyroll fanbase. 

In the role of Senior Software Backend Engineer, you will report to the Engineering Manager in the Service Monetization organization.

About You

We get excited about candidates, like you, because 

• You’re an experienced and passionate Senior Software Backend Engineer with experience building robust and reliable backend services (8+ years of relevant experience in the software industry) 
• You’re experienced in Java, GoLang, Python, PHP, Typescript or Node.js
• You’re experienced with cloud technologies (API Gateway, Lambda, EC2, RDS, ECS)
• You’re experienced with databases (PostgresDB/MariaDB, DynamoDB/MongoDB)
• You’re experienced in operational excellence (on-call rotations, incident management)
• You excel in an Agile and collaborative environment, where your insights and expertise will help create technical solutions loved by our fans.

About the Team

The Service Monetization organization is responsible for building, maintaining, and securing systems that enable membership and collect payments information for Crunchyroll users. We are directly tied to many streams of revenue and pride ourselves on quality code, service reliability, and teamwork. Our day to day work includes integrations with payment providers, payments fraud detection and prevention, optimizations to reduce passive churn while maintaining PCI compliance. Our services process millions of payments in a highly secure, distributed, and scalable environment that is constantly evolving to meet the needs of both our fans and growing Crunchyroll business!

This is a work-from-office / In-Office role based in our Hyderabad, India location.

Responsibilities:

• API Development: Design, implement, and maintain RESTful and gRPC APIs powering internal and external applications.
• Cloud Microservices: Architect and deploy scalable microservices in AWS/GCP/Azure using Kubernetes and modern DevOps practices.
• Data Pipelines: Build real-time and batch data pipelines, ensuring data accuracy, performance, and observability (EMR on EKS).
• Collaboration: Partner with cross-functional squad members to deliver features end-to-end, from concept to production.
• System Reliability: Optimize services for scalability, resilience, and high availability.
• Engineering Excellence: Contribute to architecture discussions, enforce coding standards, and drive best practices in CI/CD, testing, and monitoring.
• Security: Embed security and compliance into backend systems and data workflows.

Qualifications:

• Strong proficiency in Scala, Go, or Java and Python (experience with multiple is a plus).
• Proven experience with distributed systems, microservices, and event-driven architectures.
• Fundamental understanding of computer networking (including Wi-Fi), operating system, and database
• Hands-on expertise in cloud platforms (AWS, GCP, or Azure) and container orchestration (Kubernetes, Docker).
• Experience with Akka Streams/ Akka Actors.
• Familiarity with data engineering (ETL pipelines, real-time streaming with Kafka/Pulsar, batch processing frameworks).
• Experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra, DynamoDB).
• Solid knowledge of CI/CD pipelines, testing frameworks, observability tools (Grafana, Prometheus, ELK).
• Strong problem-solving skills and the ability to thrive in an agile, squad-based environment.

Nice To Have:

• Functional programming experience in Scala.
• Experience with caching layers, distributed storage, and message queues.
• Familiarity with AI-powered developer tools such as ChatGPT, Cursor, GitHub Copilot, or similar to boost productivity.
• Contributions to open-source projects or personal projects showcasing backend innovation.

Lookout, Inc. is a globally recognized cybersecurity leader delivering advanced protection for the most vulnerable element of any enterprise security strategy — human error and manipulation. Cloud-native by design, the Lookout platform offers rapid, scalable deployment and simplified security operations, defending the frontline of human-centric attacks—the mobile device. Attackers now target the human element more than ever, with mobile devices providing the most direct path to their victims. Using social engineering techniques that exploit basic human instincts like trust, curiosity, and urgency, they deceive users into revealing sensitive credentials, allowing them to slip past legacy security solutions.

Lookout Endpoint Detection and Response (EDR) continuously monitors mobile endpoints for signs of human-centric attacks, as well as traditional malware, software vulnerabilities, and other anomalous activity. It uses advanced threat detection techniques, including artificial intelligence (AI) and behavioral analysis, to identify threats before they escalate across the enterprise. Learn more at www.lookout.com and follow us on the Lookout Blog, LinkedIn, and X.

Lookout’s backend system supports a massive volume of data and an increasingly high level of demand, from data ingestion to delivery to dynamic analysis. We’re looking for talented and motivated engineers to build core components and services, as well as to contribute to evolving the architecture. We’re a small team working on a very large, modern system with a user base of millions, so you’ll get to work on a cutting-edge product and service on a large scale. We’re responsible for building and maintaining several of the services powering the various Lookout applications. We build services in Ruby & Scala, are hosted on AWS and firmly believe in using the cloud to our advantage.

What you’ll do:

• You will be part of a dynamic and technically diverse group of engineers, where you will get to contribute, influence, learn and grow top notch technical skill sets, while building key features for our customers.
• Implement large scale, low latency microservices, including discovering and solving complex issues at scale.
• We believe in, and practice, end to end service ownership, so you will fully participate in the ownership of your services and components, including on-call duties.
• Quality is the forefront of all we do, so you will assist with improving all forms of automated testing (unit, integration, functional etc).
• Help troubleshoot, analyze and root cause issues in the platform.
• You will work on microservices built with Golang, Scala, Java and Ruby, hosted in AWS.

What we’re looking for: 

• BS/MS in Computer Science or related field/degree with at least  3-5 years of  work experience.
• Professional programming experience with Golang, Python, Scala, Java and/or Ruby+Rails.
• Strong grasp of software engineering fundamentals and algorithms.
• Experience with event streaming frameworks, technologies, patterns and architectures (particularly Kafka or similar)
• Experience with implementing secure, scalable API services
• Experience with transactional databases and data modeling (Postgres, MySQL, DynamoDB or equivalent)
• Cloud development experience (especially AWS).
• A pragmatic and curious problem-solver. You thrive on breaking down complex challenges, asking insightful questions to understand the "why," and delivering effective, practical solutions.
• A high-ownership collaborator with keen attention to detail. You take full accountability for your work, communicate clearly with your team, and are obsessed with shipping high-quality, well-crafted code.

Bonus Points:

• Experience with serverless architectures on AWS, GCP.
• Experience with Kubernetes, container technology (Docker, ECS, EKS).
• Experience with functional programming in TypeLevel Scala (cats-effect, ZIO, FS2, etc).
• Experience with ML/LLMs (prompt engineering, RAG, classification, NLP, fine tuning etc) is a huge plus.
• Experience with AI development tools like Cursor, Claude Code, Github Copilot, etc.

Lookout, Inc. is a globally recognized cybersecurity leader delivering advanced protection for the most vulnerable element of any enterprise security strategy — human error and manipulation. Cloud-native by design, the Lookout platform offers rapid, scalable deployment and simplified security operations, defending the frontline of human-centric attacks—the mobile device. Attackers now target the human element more than ever, with mobile devices providing the most direct path to their victims. Using social engineering techniques that exploit basic human instincts like trust, curiosity, and urgency, they deceive users into revealing sensitive credentials, allowing them to slip past legacy security solutions.

Lookout Endpoint Detection and Response (EDR) continuously monitors mobile endpoints for signs of human-centric attacks, as well as traditional malware, software vulnerabilities, and other anomalous activity. It uses advanced threat detection techniques, including artificial intelligence (AI) and behavioral analysis, to identify threats before they escalate across the enterprise. Learn more at www.lookout.com and follow us on the Lookout Blog, LinkedIn, and X.

Lookout’s backend system supports a massive volume of data and an increasingly high level of demand, from data ingestion to delivery to dynamic analysis. We’re looking for talented and motivated engineers to build core components and services, as well as to contribute to evolving the architecture. We’re a small team working on a very large, modern system with a user base of millions, so you’ll get to work on a cutting-edge product and service on a large scale. We’re responsible for building and maintaining several of the services powering the various Lookout applications. We build services in Ruby & Scala, are hosted on AWS and firmly believe in using the cloud to our advantage.

What you’ll do:

• You will be part of a dynamic and technically diverse group of engineers, where you will get to contribute, influence, learn and grow top notch technical skill sets, while building key features for our customers.
• Implement large scale, low latency microservices, including discovering and solving complex issues at scale.
• We believe in, and practice, end to end service ownership, so you will fully participate in the ownership of your services and components, including on-call duties.
• Quality is the forefront of all we do, so you will assist with improving all forms of automated testing (unit, integration, functional etc).
• Help troubleshoot, analyze and root cause issues in the platform.
• You will work on microservices built with Golang, Scala, Java and Ruby, hosted in AWS.

What we’re looking for: 

• BS/MS in Computer Science or related field/degree with at least  3-5 years of  work experience.
• Professional programming experience with Golang, Python, Scala, Java and/or Ruby+Rails.
• Strong grasp of software engineering fundamentals and algorithms.
• Experience with event streaming frameworks, technologies, patterns and architectures (particularly Kafka or similar)
• Experience with implementing secure, scalable API services
• Experience with transactional databases and data modeling (Postgres, MySQL, DynamoDB or equivalent)
• Cloud development experience (especially AWS).
• A pragmatic and curious problem-solver. You thrive on breaking down complex challenges, asking insightful questions to understand the "why," and delivering effective, practical solutions.
• A high-ownership collaborator with keen attention to detail. You take full accountability for your work, communicate clearly with your team, and are obsessed with shipping high-quality, well-crafted code.

Bonus Points:

• Experience with serverless architectures on AWS, GCP.
• Experience with Kubernetes, container technology (Docker, ECS, EKS).
• Experience with functional programming in TypeLevel Scala (cats-effect, ZIO, FS2, etc).
• Experience with ML/LLMs (prompt engineering, RAG, classification, NLP, fine tuning etc) is a huge plus.
• Experience with AI development tools like Cursor, Claude Code, Github Copilot, etc.