Why we're hiring:

WPP is a creative transformation company, helping clients create growth by combining technology and creativity. As one of the world's largest marketing and advertising services organizations, we are committed to driving innovation and operational excellence across our vast global network.

You will be joining the Automation Operations Centre within WPP's Enterprise Technology, Automation & AI department. This is a pivotal time for us as we're building a dedicated, in-house team to deliver, manage, monitor, and optimize our growing portfolio of automation solutions. This team is at the forefront of our digital transformation, ensuring the seamless operation and continuous improvement of critical automation capabilities across WPP globally

You will play a crucial role in solution delivery and day-to-day technology management of the Global Automation Operations Centre (AOC) program. Reporting to the AAI Operations Director and AAI Product Lead, you will lead the architecture, standards, and advanced development requirements for our global automation portfolio. Alongside AAI Leadership, you will guide a crew of 6-10 developers to ensure the release of high-quality automation products on time and within budget.

The AOC is chartered to develop and delivery automation products, support global automation products or projects delivered by Automation delivery teams from around WPP. Our support apparatus gives those teams confidence and freedom to hand over their existing successes and continue innovating.

Are you a visionary technical leader with a deep mastery of the Microsoft Power Platform and a passion for engineering excellence? We are looking for an Automation Engineering Lead to drive our technical strategy and architectural standards. In this senior role, you will be responsible for conducting research spikes, providing technical guidance to development teams, and ensuring that our global automation suite is built on a foundation of robust, scalable, and maintainable components. You will combine your extensive experience from the D365/Dataverse era with modern ALM practices to keep our global operations at the cutting edge of AI and automation.

What you'll be doing:

Automation Engineering Lead (Engineering Excellence + AI-Driven Automation) 

We are looking for an experienced Automation Engineering Lead who combines a complete view across multiple engineering technology streams with a strong background in automation and AI-driven engineering practices across modern technology stacks. 

This is not a single-stack or platform-specific role. 

You will act as an enterprise engineering leader, responsible for designing scalable, high-performance solutions by evaluating the right engineering approach across diverse technology streams spanning APIs, backend services, modern frontends, cloud platforms, deployment architecture, and AI/ML capabilities. 

You will play a critical role in shaping engineering strategy, establishing end-to-end engineering processes, guiding engineering teams, and ensuring solutions are fit-for-purpose, scalable, and future-ready. 

 What You’ll Be Doing 

Solution Architecture & Technology Decisioning 

• Own end-to-end architecture for automation use cases across the enterprise  

• Evaluate and recommend the right approach across:  

• Cloud-native engineering (microservices, serverless, container platforms)  

• Custom engineering (APIs, backend services, UI frameworks)  

• AI-augmented automation combining ML services, LLMs, and intelligent workflows  

• Make informed trade-offs between build vs buy, custom vs platform, and AI-driven vs deterministic approaches based on scalability, cost, and maintainability  

• Act as a key decision-maker on the right technology stream and tooling for each engineering problem  

• Knowledge in Power Platform (Power Apps, Power Automate, Dataverse) 

 Architectural Governance 

• Define and enforce global architecture standards, design patterns, and best practices  

• Establish reusable engineering frameworks and AI-driven automation accelerators across teams  

• Ensure consistency, scalability, and maintainability across implementations  

 Technical Leadership 

• Lead and mentor a team of 6–10 engineers  

• Provide hands-on guidance, solution reviews, and architectural oversight  

• Drive engineering excellence and a culture of continuous improvement  

 Advanced & Hybrid Development 

• Lead complex implementations involving:  

• Custom connectors and API integrations  

• AI/ML model integration and intelligent automation patterns  

• Backend services (.NET / Java / Node.js / Python) where required  

• Handle research spikes and evaluate new tools, frameworks, and capabilities  

 Integration & Data Architecture 

• Design robust integration solutions using:  

• REST APIs, webhooks, and service-based architectures  

• Event-driven and asynchronous processing patterns  

• Work with structured and unstructured data across:  

• Cloud data platforms (Azure Data Lake, BigQuery, Snowflake, etc.)  

• SQL / external data systems  

• Dataverse 

• Optimize performance, scalability, and reliability of automation workflows  

 ALM & DevOps Strategy 

• Own and mature end-to-end engineering processes including ALM, code quality, and release governance across the organization  

• Implement CI/CD pipelines, deployment automation, and infrastructure-as-code using Azure DevOps, GitHub Actions, Jenkins, or similar  

• Drive adoption of code-first, version-controlled, and AI-assisted development practices  

 Stakeholder Collaboration 

• Partner with business and leadership teams to translate requirements into scalable technical solutions  

• Align architecture decisions with business goals, timelines, and budgets  

• Communicate complex technical concepts to both technical and non-technical stakeholders  

 Security, Compliance & Supportability 

• Ensure solutions comply with enterprise security, governance, and data protection policies  

• Design solutions for operational readiness, observability, and smooth handover to support teams  

 What You’ll Need 

Experience 

• 12+ years in software engineering, solution architecture, or enterprise application development  

• Proven track record leading engineering teams across multiple technology streams with a strong background in automation and AI-driven engineering  

• Knowledge in Power platform or Dynamics 365 ecosystem 

 Engineering Process & AI-Automation Expertise 

• Deep expertise in:  

• End-to-end engineering processes (SDLC, code reviews, quality gates, release management) implemented at organizational scale  

• Deployment and technical architecture across cloud and hybrid environments  

• Automation engineering (CI/CD, infrastructure-as-code, test automation, workflow automation)  

• Experience with:  

• Engineering AI workstreams (LLMs, agentic systems, intelligent automation)  

• Applying AI in automation (code generation, automated testing, intelligent code review, copilots)  

• Ability to drive engineering excellence and modernize platforms using AI-augmented approaches  

 Architecture & Engineering Breadth (Critical) 

• Strong experience with API design and REST-based integrations  

• Solid understanding of SQL, data modeling, and performance optimization  

• Hands-on experience with at least one backend technology (.NET / Java / Node.js / Python)  

• Exposure to modern frontend frameworks (React or similar)  

• Understanding of:  

• Microservices and distributed systems  

• Event-driven architecture (queues, messaging, pub/sub)  

• Proven ability to design and deliver solutions across diverse engineering streams with the right deployment and architecture choices  

 DevOps & ALM 

• Experience with CI/CD pipelines and automated deployments  

• Familiarity with Azure DevOps, GitHub Actions, or similar tools  

• Strong understanding of environment strategy, solution segmentation, and release management  

 Leadership & Problem Solving 

• Proven ability to lead and mentor engineering teams  

• Strong architectural thinking and decision-making skills  

• Ability to solve complex, ambiguous technical challenges  

• Excellent communication and stakeholder management skills  

 Nice to Have 

• Experience with Azure services (Functions, Logic Apps, Service Bus, API Management)  

• Knowledge of enterprise integration patterns and iPaaS platforms  

• Hands-on experience embedding LLMs, agents, or copilots into automation and engineering workflows  

 Certifications 

• Certifications in AI/ML, DevOps, or enterprise architecture (TOGAF, SAFe, or equivalent), PL-600: Microsoft Power Platform Solution Architect (preferred)  

Who you are:

You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.

You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.

You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.

What we'll give you:

Passionate, inspired people – We aim to create a culture in which people can do extraordinary work.

Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.

Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?

#onsite

About the Role

The Ethos SRE group is looking for a SRE Engineer to collaborate with other teams to improve service reliability, automation  and observability and improve their application maturity, reliability, and production readiness. In this role, you will create new infrastructure and support tools, help other teams debug issues, and act as advisors regarding production readiness when new services are being designed and brought online. The person in this role will exhibit good mentoring and coding skills as well as the ability to solve complex problems related to reliability . This role also requires good interpersonal skills and the ability to motivate other teams to adopt best practices concerning reliability.

Duties and Responsibilities:

• Collaborate with other engineering teams to enhance the reliability and performance of applications, up to and including submitting PRs to their codebases with improvements
• Assist with automation, continuous integration and delivery of applications and configurations
• Assist other teams with designing solid foundations and best practices around running services in production environments
• Assist other teams implementing infrastructure level dependencies
• Help other teams identify, design, and monitor proper service-level indicators (SLI) and service-level objectives (SLO)
• Design and implement cross company resilient and reliable tools, resources, infrastructure and processes

Qualifications and Skills:

• 4+ years of full time software engineering experience in relevant role (Backend SWE / SRE / DevOps / Infrastructure / Operations)
• Experienced with software engineering best practices – design patterns, code reviews, testing, etc.
• Ability to communicate technical specifications both verbal and written
• Strong interpersonal skills
• A strong desire to remove any toil from a system
• Preferred background in distributed systems and infrastructure
• Preferred engineering experience in TypeScript, GoLang, Python, PostgreSQL, AWS
• Preferred experience with Kubernetes and Kubernetes operators
• Preferred knowledge of CI/CD systems
• Preferred experience with: Terraform, argoCD, Atlantis, GitHub Actions and DataDog

#LI-Hybrid
#LI-KP1

Role: Manager, Software Engineering
Location: Hyderabad, India (Hybrid)
Department: Product Engineering
Reports to: Director of Engineering

About GHX:
GHX (Global Healthcare Exchange) is a leading healthcare technology company on a mission to simplify the business of healthcare and improve patient outcomes. Founded in 2000, GHX has built the GHX Global Network — the world’s largest cloud-based supply chain community connecting healthcare providers, suppliers, distributors, and partners to automate key processes, reduce costs, and increase operational efficiency. Its solutions span electronic trading, procurement automation, inventory and contract management, business intelligence, and data synchronization, helping healthcare organizations improve productivity and focus more on patient care. Over the years, GHX has enabled significant cost savings for the industry and continues to innovate with intelligent automation and AI-driven capabilities.

Website: https://www.ghx.com/
LinkedIn: https://www.linkedin.com/company/ghx/

About the Role

We're seeking a hands-on Software Engineering Manager to lead a Software Development team with day-to-day technical leadership responsibilities. Working closely with other Development teams, this role executes the company's technical, architectural, and commercial product initiatives by taking an active role with the team. The Manager will be responsible for both technical roadmap/design and people management.

A successful candidate in this role would assume leadership in delivering customer outcomes with a focus on building modern delivery pipelines in a high-availability platform. This role will lead a high-impact team through the product development lifecycle by being an active contributor of production-quality code, with up to 70% of their time focused on research, development, system designs, and architectural reviews. This role works in an Agile environment, collaborating with the team to lead continuous improvement using data-driven decisions through iterative development.

Responsibilities

• Lead by example: Hands-on in design, coding, and shipping high-quality software using Angular, Node.js, JavaScript, and Java (back end) on AWS services like Lambda, EC2, S3, and SQS.
• Strong foundation in Spring frameworks and data layers like MongoDB, PostgreSQL, Elasticsearch, etc.
• Champion and educate the organization on Agile best practices, new frameworks, processes, architectural standards, design patterns, and solutions.
• Ensure engineering excellence by having sound knowledge of Microservices, security, and containerization.
• Collaborate with Development, Product, and Architecture teams to drive the software development lifecycle, iterating quickly to deliver high-impact solutions to Production with high quality.
• Ensure engineering excellence by adherence to standards around robustness, resiliency, high availability, scaling, and utilization of modern delivery pipelines.
• Plan and execute a timely release process with all stakeholders, including necessary communication.
• Mentor and grow developers through coaching, feedback, and amplifying the technical vision from the Enterprise Architecture team.
• Establish roadmaps and resourcing needs across multiple teams.
• Balance speed and quality by utilizing industry-standard measurements such as Cycle Time, Lead Time to Change, and Deployment Frequency to identify roadblocks. Ensure the proper technical design required to positively impact measurements.
• Assess risks and dependencies and hold teams accountable to high standards by leading by example.
• Drive incident response for the team, including on-call coverage, technical response, and providing technical resolution to production issues.

Required Experience

• Computer Science degree with related experience.
• 5+ years of software development management experience.
• Excellent understanding of AWS services (e.g., EC2, EKS, Lambda, S3, RDS, API Gateway).
• Strong understanding of system design, scalability, microservices, and distributed architectures.
• Experience designing external-facing UI applications, SSO integration, secure systems, and APIs.
• Experience designing high-availability, fault-tolerant, and secure systems.
• Practical experience with GitHub Actions, CI/CD, or other automation tools.
• Familiarity with UI, backend, and API development and their integration.
• Proven ability to mentor engineers and conduct thoughtful, constructive code reviews.
• Experience being the technical lead on a team that produces high-quality deliverables.

Nice to Have

• Strong knowledge of DB concepts and data analysis experience with expertise in data-driven decision making.
• Hybrid mobile app development experience with Ionic or Cordova.
• SDLC experience across AI development lifecycles.
• Familiarity with modern AI concepts: LLMs, Agentic AI, MCP, and Copilot development.
• Knowledge of cloud monitoring and observability tools.

Role: Manager, Software Engineering
Location: Hyderabad, India (Hybrid)
Department: Product Engineering
Reports to: Director of Engineering

About GHX:
GHX (Global Healthcare Exchange) is a leading healthcare technology company on a mission to simplify the business of healthcare and improve patient outcomes. Founded in 2000, GHX has built the GHX Global Network — the world’s largest cloud-based supply chain community connecting healthcare providers, suppliers, distributors, and partners to automate key processes, reduce costs, and increase operational efficiency. Its solutions span electronic trading, procurement automation, inventory and contract management, business intelligence, and data synchronization, helping healthcare organizations improve productivity and focus more on patient care. Over the years, GHX has enabled significant cost savings for the industry and continues to innovate with intelligent automation and AI-driven capabilities.

Website: https://www.ghx.com/
LinkedIn: https://www.linkedin.com/company/ghx/

About the Role

GHX is seeking a hands-on Engineering Manager with expertise in software engineering, release management, artificial intelligence and cross-functional collaboration. The work blends modern software practices with pragmatic AI to reduce manual exceptions, improve matching accuracy, and enhance the invoice processing end-to-end. 

Responsibilities

Engineering Leadership

• Provide technical and people leadership for an engineering team.
• Manage, mentor, and grow a high-performing team of software engineers, fostering a culture of collaboration, innovation, and accountability.
• Partner with other engineering and cross‑functional leads to align priorities and ensure cohesive execution.
• Coordinate incident response for the team, including coverage and technical response to issue.

Hands‑on Technical Leader

• Contribute to high‑impact coding when it adds meaningful value (foundational components, prototypes, critical paths).
• Help decompose and modernize systems where valuable, encouraging reliable, observable, and maintainable designs.
• Maintain a strong emphasis on unit and component testing as part of day‑to‑day engineering
• Work with QA team members to shape testing approaches across the lifecycle, including automation and release readiness
• Encourage shift‑left practices and CI‑integrated test suites for confidence and speed

AI Utilization in SDLC

• Use AI during various stages of SDLC for code generation, code analysis, testing and review impact of changes
• Implement agents/skills with the vetted AI tools to produce secure, maintainable, practical solutions
• Collaborate with data and analytics partners to responsibly operationalize models where appropriate

Technical Execution

• Conduct sprint ceremonies and ensure proper grooming of all epics/stories
• Guide the planning, prioritization, and delivery with a focus on predictable outcomes
• Establish robust monitoring, logging, and alerting systems to maintain system reliability and performance.
• Identify and mitigate technical risks, ensuring alignment with business objectives.
• Plan and execute the timely release process for deliverables with all stakeholders including necessary communication.
• Champion the adoption and optimization of modern CI/CD pipelines to streamline development, testing, and deployment processes.
• Collaborate with Security team to resolve any findings and conduct the annual compliance reviews

Qualifications

• Education: Computer Science or related degree, or a combination of education and related experience.
• Experience:
• 8+ years of prior software development experience with hands-on coding and management experience.
• Deep understanding of modern CI/CD pipelines, including tools like Bamboo or GitHub Actions.
• Proficiency with cloud platforms (e.g. AWS, Azure, etc) and container orchestration (e.g. Kubernetes, Docker).
• Experience with Agile development processes (Scrum, Kanban) and leading teams in a fast-paced environment.
• Strong focus on quality assurance with proven expertise of delivering high-quality software.
• Applied knowledge of AI in day‑to‑day engineering and process automation.

Technical Skills:

• Experience with development languages such as Java, Springboot, Node.js
• Familiarity with frontend frameworks, including Angular (12+) and strong proficiency with JavaScript or TypeScript
• Proficiency with AWS cloud and cloud‑native services
• Practical experience with Relational and NoSQL databases, such as PostgreSQL, MongoDB, Elasticsearch, or cloud‑native data stores.
• Proficiency with CI/CD and infrastructure automation tools (e.g., GitHub Actions, Bamboo).
• Knowledge of Testing tools like Selenium, Playwright, Postman or similar
• Familiarity with AI‑powered engineering tools (e.g., GitHub Copilot, Claude Code, Cursor) to enhance development velocity and code reliability.

Soft Skills:

• History of handling multiple concurrent projects
• Ability to effectively communicate across organizational levels and with a variety of stakeholders, including the ability to communicate technical concepts to technical and non-technical audiences
• Strong strategic thinking that prioritizes long term outcomes over emergent distractions.
• Ability to make difficult decisions and to drive decisions into actuality
• Ability to understand and effectively explain up and downstream product, team, and organizational impacts
• Ability to constructively challenge the status quo and to iterate and improve across multiple business domains
• Leadership and mentoring skills including the ability to lead by example, promoting a common purpose and serving as a catalyst for success
• Demonstrate emotional maturity and a positive outlook.
• Demonstrated analytical, organizational, prioritization, and time management skills

Role: Manager, Software Engineering
Location: Hyderabad, India (Hybrid)
Department: Product Engineering
Reports to: Director of Engineering

About GHX:
GHX (Global Healthcare Exchange) is a leading healthcare technology company on a mission to simplify the business of healthcare and improve patient outcomes. Founded in 2000, GHX has built the GHX Global Network — the world’s largest cloud-based supply chain community connecting healthcare providers, suppliers, distributors, and partners to automate key processes, reduce costs, and increase operational efficiency. Its solutions span electronic trading, procurement automation, inventory and contract management, business intelligence, and data synchronization, helping healthcare organizations improve productivity and focus more on patient care. Over the years, GHX has enabled significant cost savings for the industry and continues to innovate with intelligent automation and AI-driven capabilities.

Website: https://www.ghx.com/
LinkedIn: https://www.linkedin.com/company/ghx/

Who We Are

At Platform Science, we’re working to connect everything that moves.

Founded in 2015, we are an open IoT platform that partners with innovative fleets, application developers, vehicle manufacturers, and equipment providers in the transportation industry to deliver revolutionary solutions to supply chain professionals across the globe.

Our employees are an engaging, diverse group of people who believe in the power of great ideas. We hire people with different experiences and perspectives to build a company culture that fuels growth through innovation.

We value thoughtful actions and empathy for others. We approach challenges with resiliency and creativity, while encouraging transparency because, no matter our backgrounds or responsibilities, we are one team.

About the Role

Platform Science is seeking a highly motivated and experienced Senior Android Developer (Software Engineer II) to join our Solutions Design Team in Chennai. This role is crucial for architecting, prototyping, and delivering high-quality mobile solutions for our transportation and mobility platforms. This requires deep expertise in Android development using Java and Xamarin, and strong skills in designing scalable, maintainable mobile solutions that integrate with cloud services and enterprise systems.

You are a member of an agile development team and participate in the planning and execution of work items.

Essential Responsibilities

• Mobile Application Design & Development: Lead the design and development of Android applications using Java and Xamarin, building high-performance, secure, and scalable mobile features.

• Architecture & Solution Design: Drive POCs and prototypes for new features, participate in architecture discussions, and translate business/UX needs into technical designs.

• Code Quality & Engineering Excellence: Implement engineering best practices (clean code, SOLID principles), conduct detailed code reviews, and monitor/troubleshoot production issues.

• API & Backend Integration: Integrate mobile apps with RESTful APIs, cloud backends, and enterprise services, collaborating with backend teams to define contracts and optimize performance.

• Collaboration & Mentorship: Work closely with UI/UX designers and product managers, and mentor junior Android/Xamarin developers on mobile design trends and architecture.

Experience

Required experience

• 3-6 years of hands-on Android development experience.

• Strong proficiency in Java for Android and deep practical experience with Xamarin (Native / Forms).

• Strong understanding of Android architecture components (MVVM, ViewModel, LiveData, Room).

• Expertise in memory management, performance tuning, and background operations.

• Experience designing mobile apps interacting with REST APIs, JSON, and cloud services.

• Experience working with CI/CD for mobile apps (GitHub Actions, Azure DevOps, Jenkins, etc.).

• Knowledge of mobile security, authentication, and secure storage methods.

Nice-to-Have (Bonus)

• Experience in telematics, mobility, logistics, or IoT domains.

• Working knowledge of GCP/AWS/Azure mobile backend services.

• Kotlin proficiency is a plus.

Other Requirements

• Passion and willingness to learn new technologies (implied).

• Strong problem-solving and analytical thinking.

• Ability to lead technical discussions and push for high-quality outcomes.

• Excellent communication and collaboration skills.

• Ability to work in a global, fast-paced, cross-functional environment.

• You are dedicated to delivering high quality and performant solutions.

The company offers various benefits to regular, full-time employees including:

• Provident fund and gratuity in accordance with applicable laws.

• Paid vacation, sick leave and holidays, in accordance with applicable laws.

• Twenty-Six weeks of paid maternity leave.

Please note that the compensation details listed in India role postings reflect the base salary only, and do not include bonus, equity, or benefits. Platform Science collects your personal information to support its business operations, including for human resources, employment, benefits administration, health and safety, and other business-related purposes as well as to be in legal compliance. You can review further details of such collection and use in our Privacy Policy (link for browser: https://www.platformscience.com/privacy-notice). Please note: This document is a description of a potential position with our company. Nothing within this document may be construed as an offer for employment or a promise of benefit or remuneration. Further, any representation made within this document is subject to the laws and restrictions of the jurisdiction where employment may be deemed to occur. The parameters and availability of this position are subject to change and based solely within the discretion of the company. In addition, the duties, responsibilities, and scope of this position may not be fully represented in this description or may change as required by the Company. Platform Science is an equal opportunity employer. All applicants will be considered for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

Why this role matters:

As a Software Development Engineer in Test (SDET III), you will be a key quality advocate for the Vonage platform, ensuring quality, testability, and security across the full software development lifecycle. You will bridge engineering and quality by building robust automation frameworks that support everything from early development to global, high-traffic production systems.

Your work directly impacts the reliability and scalability of mission-critical conversational commerce and messaging platforms.

Your key responsibilities:

• Design, build, and maintain automated test frameworks, test suites, and scripts integrated into CI/CD pipelines.
• Work as an active member of Agile teams, partnering closely with Product and Engineering to define testing requirements and plans.
• Participate in design and architecture reviews with a focus on test automation, performance, and scalability.
• Test complex routing, decision engines, and event-driven workflows for distributed, multi-tier systems.
• Implement shift-left testing by collaborating with developers on unit coverage and early defect prevention.
• Use observability tools to identify root causes of failures and monitor test reliability trends.
• Embed AI assisted engineering into daily practice to accelerate delivery and enhance outcomes
• Proactively adopt emerging AI capabilities to improve workflows and shares best practices with the team

What you'll bring

• 5+ years of experience in software test automation for complex systems.
• Proven experience designing and building test automation frameworks and CI-integrated test suites.
• Must have experience using Playwright Framework
• Good knowledge of using Typescript
• Strong programming skills in Python
• Experience testing distributed, event-driven architectures (Pub/Sub, Cloud Tasks, Kafka).
• Hands-on experience with cloud platforms (GCP or AWS), including containerized and serverless services.
• Experience testing REST APIs, asynchronous workflows, and multi-tier applications.
• Strong analytical, troubleshooting, and collaboration skills in fast-paced environments.

Experience we consider a plus:

• Experience with CI/CD tools (GitHub Actions, Jenkins, GCP Cloud Build).
• Exposure to commerce systems, payments, or transaction workflows.
• Experience with performance, load, and scalability testing for high-traffic systems.
• Familiarity with contract testing (Pact), Kafka, API security, or SSO standards (SAML, OIDC).

How you’ll benefit:

• Attractive Discretionary Time Off
• Private Medical Insurance with optional dependent coverage
• Educational Assistance Reimbursement Program
• Opportunities for reimbursement for conferences, trainings, and other personal development events
• Maternity and Paternity Leave
• Ask recruiter for country specific information
• Additional benefits and perks will be shared and discussed with you by the recruiter during the interview process. 

#LI-JB1

We are seeking a proactive Software Development Engineer in Test with strong software engineering skills and a quality-first mindset. You will own the design, development, and scaling of test automation frameworks across Web, Mobile, API, and backend services, while ensuring high-quality delivery. This role involves driving test strategy, mentoring junior team members, and collaborating with developers, product managers, and DevOps to embed quality throughout the software development lifecycle. 

Responsibilities:

• Automation, Coverage & Mobile Testing 

• Design and maintain automation frameworks for Unit, Integration, Regression, and End-to-End testing. 

• Define and monitor test coverage across UI, API, and database layers to ensure comprehensive quality assurance. 

• Develop and manage test scripts using tools like Playwright, Cypress, Jest, and Cucumber. 

• Implement and maintain mobile app testing pipelines, including automated test execution with BrowserStack, to ensure reliable cross-platform quality. 

• Functional & Non-Functional Testing  

• Design, execute, and maintain functional, performance, load, and stress tests using tools such as JMeter and k6. 

• Perform security validation and edge-case scenario testing to ensure application reliability and resilience. 

• CI/CD Integration & Observability 

• Integrate automated tests into CI/CD pipelines using tools like GitHub Actions or Jenkins. 

• Collaborate on deployment activities, including rollback verification and post-deployment validation. 

• Monitor application and test performance using tools such as CloudWatch, Datadog, Grafana, or Kibana to proactively detect issues and ensure system health. 

• SDLC Involvement & Agile Practices   

• Actively contribute to Agile ceremonies and backlog grooming sessions with a focus on understanding both functional and non-functional requirements, ensuring clarity around testability, performance, and reliability. 

• Define test strategies early in the lifecycle and ensure traceability from requirements to test cases and results to maintain coverage and accountability. 

• Code Quality & Version Control 

• Follow Git-based workflows and branching strategies for effective collaboration throughout the SDLC. 

• Review test code, enforce quality standards, and document test scenarios, automation architecture, and quality KPIs to ensure transparency and maintainability. 

• AI driven quality engineering  

• Leverage Generative AI and prompt engineering techniques to accelerate test case generation, improve coverage, and enhance productivity in QA workflows. 

• Support testing of Generative AI applications, ensuring compliance, reliability, and quality through thorough validation of outputs and behaviors. 

• Leadership & Mentorship  

• Mentor junior SDETs and QA engineers on best practices in test automation, debugging, and test design, fostering a culture of quality and continuous learning. 

• Lead test planning and strategy for major features, services, or cross-functional initiatives, ensuring test coverage across functional and non-functional areas. 

• Align QA goals with product and engineering roadmaps, collaborating closely with stakeholders to ensure quality is integrated from planning through release. 

Knowledge, Education and Experience:

• Bachelor’s or master's in computer science, Engineering, or related field 

• 3-5 years of SDET experience with strong skills in TypeScript, scripting, and automation tools (Playwright, Cypress, Jest, Appium, Selenium) 

• Hands-on with AWS (Lambda, DynamoDB, SQS, EventBridge, API Gateway), microservices, and event-driven architectures 

• Experience in mobile testing and automation using Sauce Labs or similar platforms, and frameworks like Appium or equivalent for cross-device validation. 

• Proficient in SQL/NoSQL; able to write complex queries for backend, data validation, and end-to-end testing 

• Skilled in Agile, Git, and CI/CD with test automation integration 

• Experience in performance testing, observability, error tracing, and exposure to security testing practices 

• Familiar with AI tools for test generation/analysis (e.g., Generative AI) and contributing to bug fixes and product improvements 

• Strong communicator in global teams with experience mentoring junior QA/SDET engineers 

Why Join bswift?

At bswift, we empower our employees to make a meaningful impact, innovate, and grow. Joining our team means stepping into a collaborative and dynamic environment that values creativity, initiative, and a passion for client success. We are dedicated to fostering an inclusive workplace that celebrates diversity and values each team member’s unique contributions.

Benefits of Working at bswift:

• Comprehensive Health Benefits: Insurance coverage and health plans to support your wellness and that of your family.
• Competitive Compensation: A compensation package that recognizes your skills, experience, and contributions, including performance-based incentives for most roles.
• Hybrid work-model: With Flexible working hours 
• Retirement Savings Plans: Options to help you plan for a secure financial future with employer-sponsored retirement savings programs.
• Professional Development: Opportunities for career growth, including training and access to resources to support your career progression.
• Supportive Culture: A work environment that encourages collaboration, open communication, and creative problem-solving, where your voice and ideas are valued.
• Employee Wellbeing Initiatives: Programs focused on mental health, financial planning, and wellness resources to help you thrive inside and outside of work.

Make an Impact: At bswift, your work directly contributes to transforming how organizations approach benefits administration and client engagement. Join us to be part of an organization that is making a meaningful difference in the lives of our clients and their employees.

Responsibilities

• Be part of a trading systems engineering team, dedicated to building out the core trading platforms.
• Work closely with cross functional teams to improve the system reliability, scalability and security.
• Engage in and improve the quality supporting the platform.
• Build and manage systems, infrastructure and applications through automation.
• Provide operational support to internal teams working on the platform.
• Work on improvements to bring in high efficiency, reduce latency, deploy systems faster.
• Practice sustainable incident response and blameless postmortems.
• Together with your engineering team, you will share an on-call rotation and be an escalation contact for service incidents.
• Implement and maintain rigorous security best practices across all infrastructure, with a focus on minimizing attack surface and ensuring data integrity.
• Monitor system health and performance with a keen eye for identifying and resolving issues before they affect trading activity.
• Manage user queries and service requests (often requiring in depth analysis of the technical and/or business logic of our systems).
• Proactive approach to problem analysis and resolution of production incidents.
• Manage Issue tracking and prioritisation of day to day production incidents.
• Manage platform trading support initiatives (e.g. platform monitoring, reporting, release automation).

 Minimum Qualification

• Bachelors with 5+ years of working experience as Site Reliability Engineering (SRE) / Devops Engineer
• Strong knowledge of Linux system internals (kernels, memory management, file systems & network I/O optimization) as well as bash scripting.
• Minimum 3-5 years experience in a Front Office Trading Floor or related application support experience.
• Need to be available to work in US (Night) Shift
• Good product knowledge in financial instruments including experience in managing front to back trading lifecycle and familiar with order life cycle (Equities, FX, Crypto etc).
• Experience with electronic trading platforms and OMS/EMS systems.
• Knowledge of ITIL practices including Incident, Problem and Change management.
• Experience with system monitoring platforms.
• Proven expertise optimizing systems for lowest latency performance and productionizing trading systems, from initial concept to full deployment, including on-prem and colocation.
• Strong working knowledge of network communications fundamentals TCP/IP and UDP
• Knowledge of FIX protocol, as well as familiarity with low latency multicast with Aeron.
• Strong skills around observability, debugging and performance tuning, with a willingness to dive-deep to determine the root cause, 
• Effective communicator, with the ability to explain root causes in plain language, then outline plans and recommendations to remediate and ultimately to execute plans that systematically resolve issues.
• Demonstrated ability to build tools that enable rapid operational triage; leveraging logs, performance telemetry metrics and traces to make Grafana dashboards (or similar) 
• Strong experience deploying and managing Cloud infrastructure with providers like AWS, Azure and/or GCP (accounts, profiles, IAM roles, Policies, service classes, instance types, etc.)
• Strong experience adapting workloads to use Cloud Native technologies, like kubernetes and docker etc. (Dockerfile, docker-compose, helm charts, deploy manifest, ingress wiring, service mesh, etc.)
• Expertise using devops deployment tooling, like Github Actions, Jenkins, ArgoCD and Ansible.
• Hands-on experience developing in one or more programming languages: C, C++, Java, Python, or Go.
• Proficient in utilizing C++ build systems such as CMake and building CI/CD pipelines for trading systems.
• Working knowledge of key backing services like mysql, PostgresDB, Redis, MongoDB, DynamoDB, Kafka, RabbitMQ, etc.

 Key attributes critical to success:

• Strong interpersonal skills and the ability to communicate confidently and clearly with internal teams and external counterparts..
• Ability to analyse complex scenarios from both a technical and business perspective and deliver solutions.
• A sense of urgency, and an ability to deliver to deadlines in an environment where multiple competing requirements are a part of the job.
• Proactivity and a strong ownership ethos, ensuring that queries are resolved through to completion.
• Desire and ability to deliver improvements to the platform.

Preferred Qualification

• Extensive experience with DevOps for Deployment automation and App level support, as well as SRE and/or Linux systems Administrator for systems and infrastructure level support.
• Extensive experience in a Low Latency Electronic trading environment, where high performance is critical at all stages of the infrastructure, network and application design and implementation.
• Expertise in developing advanced observability capabilities (USE-RED signals, Tracing, front end observability etc) 

Bonus Points:

• Experience with hardware acceleration technologies (FPGAs, GPUs, LPU, TPU).
• Experience with financial data security regulations (PCI DSS, SOC 2).
• Familiarity with algorithmic trading strategies and quantitative analysis concepts.

As a Senior Software Engineering Manager with a strong technical background in building and architecting large-scale, multi-tenant SaaS platforms, you possess the leadership maturity to manage both individual contributors and other managers, effectively translating organizational strategy into clear, actionable team goals. You are specifically driven to manage and grow high-performing engineering teams within the SaaS platform organization in Bangalore. Your expertise includes deep proficiency in high-load distributed systems and a hands-on understanding of modern cloud-native infrastructures.

What You Will Do

Build and Grow Our Bangalore Agent Platform Team: Be the key leader for our Agent Platform engineering team in India. Own the hiring, management, and retention of a high-performing team, ensuring local growth aligns with our global SaaS platform objectives.

Lead Execution and Delivery: Drive the execution of team projects. Partner with individual contributors (ICs) to define tasks, track progress, and ensure timely, high-quality delivery. Manage cross-team dependencies and coordinate with stakeholders (Product Managers, senior leadership) to guarantee alignment and clear communication on status and risks.

Drive Technical Strategy: Oversee the architectural design and scalability for Agent Platform SaaS services. These services interact with millions of agents and process billions of daily requests. You will rely on designated Tech Leads and senior team members for detailed design and architecture.

Ensure Cross-Functional Success: Partner with the Agent Platform engineering leadership, Product Management, and UX designers to strategically define system requirements and deliver features that protect millions of endpoints worldwide.

Foster a World-Class Engineering Culture: Promote engineering excellence and continuous learning. Coach individuals and other managers to achieve their professional goals.

Engage with Leadership: Regularly interact with senior management and executives to influence decisions and gain acceptance for strategic initiatives.

Manage a Hybrid Team: Lead the local Bangalore team within our hybrid work model, fostering strong in-person collaboration and a powerful sense of belonging.

What Experience or Knowledge You Should Bring

Leadership Track Record: A minimum of 8 years of progressive software engineering experience, including 3–5 years of increasing managerial responsibility, with at least 2 years operating at the Manager level or higher.

Management & Development Expertise: Proven success in managing, hiring, mentoring, and developing high-performing engineering teams of 8+ direct reports, including experience managing internationally distributed and cross-functional IC teams.

Core Technical Skills: Strong proficiency and an ability to lead technical strategy in major programming languages such as Java, Go, or Python, coupled with a deep understanding of software design principles.

Distributed Systems & Cloud Scale: Deep background in architecting, building, and scaling high-load, resilient distributed systems within public cloud platforms like AWS or GCP.

Infrastructure & Observability: Solid hands-on and strategic experience with modern infrastructure tooling, including Docker, Kubernetes, Helm, and infrastructure-as-code (e.g., Terraform). Experience with modern monitoring and observability stacks is a strong plus.

Product Delivery & CI/CD: Comprehensive knowledge of the entire SaaS product development lifecycle. Expert-level understanding and application of modern CI/CD practices and tooling, such as Github Actions or ArgoCD, to drive engineering velocity and quality.

Strategic Communication & Business Acumen: Exceptional verbal and written communication, negotiation, and stakeholder management skills. Demonstrated ability to translate complex technical decisions into clear business outcomes and align engineering execution with broader company strategy.

Why SentinelOne?

AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.

We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:

• Flexible working hours and hybrid/remote work model.
• Flexible Time Off.
• Flexible Paid Sick Days.
• Global gender-neutral Parental Leave (16 weeks, beyond the leave provided by the local laws) 
• Generous employee stock plan in the form of RSUs (restricted stock units)
• On top of RSUs, you can benefit from our attractive ESPP (employee stock purchase plan)
• Gym membership/sports gears by Cultfit.
• Wellness Coach app, with 3,000+ on-demand sessions, daily interactive classes, audiobooks, and unlimited private coaching. 
• Private medical insurance plan for you and your family.
• Life Insurance covered by S1 (for employees)
• Telemedical app consultation (Practo)
• Global Employee Assistance Program (confidential counseling related to both personal and work life matters)
• High-end MacBook or Windows laptop.
• Home-office-setup allowances (one time) and maintenance allowance. 
• Internet allowances.
• Provident Fund and Gratuity (as per govt clause)
• NPS contribution (Employee contribution)
• Half yearly bonus program depending on the individual and company performance.
• Above standard referral bonus as per policy.
• LinkedIn Business platform for Hard/Soft skills Training & Support for your further educational activities/trainings
• Sodexo food coupons.

Here's a summary of the role:

If you're a compliance professional who believes that the best controls are the ones that run themselves — this one's for you.

As a Compliance Engineer on our Continuous Controls Assurance team, you'll sit at the intersection of compliance, engineering, and business process — your mission being to make compliance a living, automated reality rather than a periodic exercise. You'll inject compliance directly into how the business operates, building the evidence, signals, and automation that lets us prove we do what we say we do.

This role is particularly suited to candidates who have worked across compliance frameworks and technical environments — whether in SaaS companies, cloud-native organisations, or forward-thinking internal audit and GRC functions — and who are comfortable translating control requirements into code, pipelines, and data.

You'll play a central role in maturing our controls assurance program, moving us from point-in-time testing toward continuous, automated monitoring that scales with the business.

Here's a breakdown of what you'll do:

• Design and build automated controls — translate control objectives across frameworks such as SOC 2, ISO 27001, and PCI DSS into automated tests, scripts, and monitoring logic embedded in business and technical processes
• Own continuous controls monitoring — develop and maintain pipelines that continuously collect, evaluate, and surface control evidence, flagging exceptions and deviations in near real-time
• Embed compliance into the SDLC and business operations — partner with Engineering, DevOps, and business teams to integrate compliance checkpoints, policy-as-code, and configuration validation into CI/CD pipelines and operational workflows
• Bridge GRC and Engineering — translate compliance requirements into technical specifications, and translate system behaviour back into auditable evidence — acting as the connective tissue between the two disciplines
• Maintain the controls evidence repository — ensure control evidence is automatically captured, timestamped, and stored in a format that supports internal review and external audit
• Support audit and assurance activities — provide automated evidence packages for external audits, reducing manual effort and improving audit quality and speed
• Identify and close assurance gaps — conduct control gap assessments, recommend improvements, and own the remediation pipeline through to closure
• Collaborate on policy and standard development — ensure that policies are written in a way that can be operationalised and tested, feeding back where policy language creates ambiguity in controls design

These are the essentials you'll need to get an interview:

• Experience in a compliance, GRC, or information security role within a SaaS or cloud-native organisation
• Hands-on experience with one or more compliance frameworks — SOC 2, ISO 27001, PCI DSS, or similar
• Demonstrated ability to automate compliance processes — using scripting (Python, Bash, or similar), APIs, or tooling such as Drata, Vanta, Tugboat Logic, or equivalent
• Familiarity with cloud environments (AWS, GCP, or Azure) and the controls that govern them
• Strong analytical skills — able to decompose a control objective into testable, measurable components
• Excellent written communication — able to produce clear control narratives, test procedures, and evidence documentation

It would be great if you had these too, but we'll support you if you don't:

• Experience with policy-as-code tools (e.g. Open Policy Agent, Conftest, Checkov, or AWS Config Rules)
• Exposure to CI/CD platforms (e.g. GitHub Actions, GitLab CI, Jenkins) and how compliance gates can be embedded within them
• Familiarity with SIEM, log management, or observability tooling in a controls assurance context
• A background that spans both technical and compliance disciplines — e.g. a developer who moved into GRC, or a compliance analyst who learned to code
• Relevant certifications such as CISA, CISSP, CCSP, AWS Security Specialty, or equivalent

Job Title: Full stack developer - Bangalore and Gurgaon

About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the  British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. 

WHY JOIN CAPCO?

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

Location - Bangalore, Pune, Gurugram

Experience - 5 to 8 Years

Skills and Qualifications:

About the Job: Mobile Application & Web Developer Detail-oriented and innovative Mobile Application & Light Web Developer with extensive experience building, optimizing, and supporting cross-platform native and hybrid apps and light web solutions. Proven ability to leverage modern frameworks for intuitive user experiences, integrate with critical APIs and backend services, and collaborate within agile teams. Passionate about delivering secure, customer-focused mobile and web experiences. Skills & Technologies

• Mobile: React, Angular, Ionic, Capacitor, Cordova, Typescript/JavaScript • (Swift (iOS), Kotlin (Android)) • Web: React, Angular, TypeScript, JavaScript (ES6+), Material UI, Redux • Testing & CI/CD: Jest, Jasmine, Karma, CodeMagic, AppFlow, GitLab Pipeline • Cloud & APIs: Firebase, AWS, RESTful APIs, GraphQL, MongoDB, SQL, Redis • Other: CSS3, SASS, HTML5, PWA, Offline-first/Local Storage, UI/UX Design • Workflow: Agile/Scrum, Remote collaboration, Unit testing, Code reviews

Technical Proficiencies Category || Technologies / Tools Mobile Dev || React, Ionic, Capacitor, Cordova, Swift, Kotlin Web Dev || React, Angular, TypeScript, UI Libraries (Material, Tailwind) APIs/Cloud || RESTful APIs, GraphQL, Firebase, AWS Testing/CI || Jest, Jasmine, GitHub Actions

If you are keen to join us, you will be part of an organization that values your contributions, recognizes your potential, and provides ample opportunities for growth. For more information, visit www.capco.com. Follow us on Twitter, Facebook, LinkedIn, and YouTube.

Staff Engineer – Frontend (React/Micro-Frontend Architecture)

Are you a senior engineering leader who thrives on solving complex technical challenges, mentoring others, and shaping the future of user interfaces for global SaaS products? Join us at Ivanti and help build secure, scalable solutions that empower 34,000 customers—and influence how IT and security teams experience our cutting-edge platforms every day.

Why this role matters

As a Staff Engineer – Frontend, you’ll set the technical vision for micro-frontend architectures, drive modernization for enterprise SaaS applications, and enable rapid, secure innovation across our global engineering teams. Your work will directly impact how customers interact with Ivanti’s mission-critical IT security products, unlocking new possibilities and setting industry-leading standards for user experience, performance, security, and reliability. By joining us, you’ll shape the future of technology on a truly global scale, surrounded by teammates who support and inspire you.

What you’ll do

• Architect, build, and evolve scalable micro-frontend and SPA solutions for enterprise-grade SaaS platforms, using React and Redux.
• Lead modernization efforts, driving adoption of advanced UI/UX patterns and Back-End-for-Front-End (BFF) strategies to decouple frontends from backends.
• Collaborate closely with Product, UX, and Architecture teams to design interactive dashboards and analytics interfaces that turn customer needs into elegant visual solutions.
• Champion performance, testing, and scalability—optimizing bundles, implementing robust test strategies (Jest/React Testing Library), and ensuring smooth, responsive handling of large datasets.
• Integrate frontend systems securely with REST APIs and cloud services, supporting secure authentication, real-time data, and high-availability content delivery.
• Mentor and guide engineers through code reviews, technical discussions, and agile ceremonies—promoting engineering excellence and continuous improvement.
• Advocate for developer productivity by leading adoption of TypeScript, CI/CD pipelines (Jenkins/GitHub Actions/Azure DevOps), AI-assisted tooling, and systematic refactoring.

What you will bring

• 8+ years professional experience in frontend software engineering, with deep proficiency in JavaScript, TypeScript, React, Redux, and associated technologies.
• Strong technical expertise with micro-frontend architecture, BFF patterns, REST API integrations, and building secure, scalable SPAs.
• Hands-on experience with Node.js/Express, Webpack/Rollup, Docker, and CI/CD pipelines.
• Working knowledge of frontend security best practices, accessibility standards, HTML5/CSS3/SCSS, and responsive design principles.
• Experience designing complex data visualization interfaces (AmCharts, D3.js, or similar libraries).
• Solid collaborator and communicator—trusted by peers, PMs, and UX designers alike.
• Passion for mentoring, continuous learning, and sharing knowledge.
• Bonus: Experience with enterprise SaaS (especially IT/security domains), internationalization/localization across large-scale platforms, NoSQL/Elastic Search/PostgresDB, Python or Go, and AI-assisted development tools.

Why Ivanti?

• Friendly, flexible working model – Empower excellence whether you’re at home or in the office.
• Competitive compensation & total rewards – Health, wellness, and financial benefits for you and your family.
• Global, diverse teams – Collaborate with talented colleagues in 23+ countries.
• Learning & development – Grow your skills with world-class learning tools and programs.
• Equity & belonging – Your story matters, and your perspective shapes our solutions.

What drives us

Ivanti’s mission is to elevate human potential by managing, protecting, and automating technology for continuous innovation. Through diverse, inclusive hiring and a deep commitment to our people, we deliver solutions that move the world forward.

Inclusion at Ivanti

We’re proud to be an Equal Opportunity Employer. We’re committed to building a diverse team and fostering an inclusive environment where everyone belongs. We welcome applicants from all backgrounds and walks of life.

Need adjustments during the process? Reach out to talent@ivanti.com—we’re happy to help.

Ready to shape the future of secure enterprise technology?
Apply now and join a collaborative team that makes a difference, every day.

#LI-SS1

Kubernetes & Bare Metal Engineer – Member of Technical Staff 

About Infrastructure Shared Services (ISS)

Infrastructure Shared Services (ISS) is responsible for Everpure's engineering infrastructure, development environments, and production-adjacent services across our global data centers and public cloud environments. We partner with internal engineering teams to deliver reliable, secure, and scalable platforms so they can focus on building high‑quality products.

Within ISS, the Bare Metal Kubernetes Platform team designs, builds, and operates large‑scale Kubernetes environments on bare metal servers, backed by Everpure arrays and Portworx, and integrated with ISS’s observability, CI/CD, and multi‑tenancy frameworks.

SHOULD YOU ACCEPT THIS CHALLENGE...

As an Bare Metal & Kubernetes Engineer, you will be a senior individual contributor responsible for designing, deploying, and operating large‑scale bare‑metal Kubernetes clusters and platform services in our on‑prem data centers.
You will:

• Lead technical design and implementation for new cluster features and capabilities
• Own critical areas of the platform (e.g., cluster lifecycle, networking, storage, observability, or multi‑tenancy)
• Drive reliability, performance, and security of the Kubernetes platform used by multiple business units
• Mentor other engineers and influence best practices across ISS and partner teams

Key Responsibilities

Platform Design & Architecture

• Design and evolve bare‑metal Kubernetes architectures including control plane, worker nodes, networking, and storage integrations (Portworx on FlashArray/FlashBlade).
• Define standards for cluster lifecycle management (provisioning, upgrades, decommissioning) using tools like Kubespray, Foreman, and internal CD pipelines.
• Contribute to design of multi‑tenant, secure clusters including RBAC, OIDC/SSO, namespace isolation, and quota/limit strategies.

Implementation & Operations

• Deploy, operate, and continuously improve large‑scale bare‑metal Kubernetes clusters across multiple data centers (dev, stg, prod).
• Implement and maintain cluster networking: CNI (e.g., Cilium), BGP, load balancers, ingress, and multi‑rack/ToR topologies.
• Build and maintain GitOps‑based workflows (e.g., ArgoCD) and CI/CD pipelines to manage cluster add‑ons, platform services, and tenant workloads.
• Ensure observability of the platform (metrics, logs, traces) using Prometheus, Elastic stack, Grafana, and related tooling; define SLOs and alerts with SRE teams.
• Participate in “follow the sun” on call for the production system. Lead or contribute the incident management and incident postmortem

Reliability, Security & Compliance

• Own and improve reliability and performance of clusters and platform components; lead root cause analysis and long‑term fixes for complex incidents.
• Implement and enforce security best practices for Kubernetes, including secure defaults, RBAC policies, network policies, and secrets management.
• Collaborate with SRE, Security, and Network Engineering to meet agreed SLIs/SLOs and support models for on‑prem Kubernetes.

Collaboration & Leadership

• Partner closely with BU engineering teams (e.g., GitHub Actions runners, ELK, KubeVirt workloads) to onboard and run production use cases on the bare‑metal clusters.
• Provide technical leadership on cross‑team projects: lead design reviews, write design docs, and drive decisions that balance reliability, cost, and user experience.
• Mentor junior and mid‑level engineers, sharing best practices in Kubernetes, automation, and production operations.

WHAT YOU’LL NEED TO BRING TO THIS ROLE...

• 6+ years of experience in infrastructure, SRE, or platform engineering roles, including at least 3 years running Kubernetes in production, with significant experience on bare metal.
• Strong proficiency in Linux systems administration, networking, performance tuning, and security hardening.
• Deep understanding of Kubernetes internals (API server, etcd, controllers, scheduler, kubelet) and key concepts (Pods, Deployments, Services, Ingress, ConfigMaps, Secrets, HPA).
• Hands‑on experience with Kubernetes networking: CNI plugins (preferably Cilium), Services/Ingress, NetworkPolicies, and L4/L7 load‑balancing.
• Proficiency with Infrastructure as Code (IaC) and automation tools such as Ansible, Terraform, or equivalent.
• Strong experience with observability stacks (e.g., Prometheus, Elastic/ELK, Grafana, Fluentd/Fluent Bit) for cluster and workload monitoring.
• Solid scripting or programming skills (e.g., Python, Go, or similar) for automation, tooling, and integration work.
• Excellent communication and documentation skills, with the ability to collaborate effectively across distributed teams and write clear technical documentation and runbooks.

MINIMUM QUALIFICATIONS (EDUCATION & EXPERIENCE)

• Experience building or operating KubeVirt or other virtualization solutions on top of Kubernetes.
• Prior work with on‑prem GitHub Actions runners or similar CI/CD runners on Kubernetes (cloud or bare metal).
• Familiarity with Portworx and Everpure Storage arrays as persistent storage for Kubernetes clusters.
• Experience in multi‑tenant platform design: authentication via OIDC/Okta, RBAC design, tenant isolation, and self‑service onboarding flows.
• Background in data center networking (BGP, MLAG, ECMP, spine‑leaf architectures) and how it interacts with Kubernetes networking at scale.
• Hands‑on experience with OpenStack in production (Nova, Neutron, Cinder) and integration patterns between OpenStack, Kubernetes, and on‑prem infrastructure.

Job Overview

We are looking for an Engineering Manager to lead the FGA Developer Tooling team in India.

This team owns the end to end developer experience for FGA across OSS and SaaS, including SDKs in Go, JavaScript, .NET, Python, Java and other languages, the SDK generator that powers them, CLI workflows, IDE integrations, GitHub automation, developer documentation, and release strategy. All development is done in the open as open source, and we actively welcome and review community contributions.

Our guiding principle is One developer experience, many deployment models.

As an Engineering Manager, you will build and grow a high performing team, drive execution across the developer tooling roadmap, and ensure we deliver a consistent and high quality developer experience to both OSS and SaaS users.

Responsibilities

• Lead and grow a team of engineers responsible for FGA SDKs, the SDK generator, CLI workflows, IDE integrations, and developer automation.

• Drive execution of the Developer Tooling roadmap in partnership with Product and FGA Core, ensuring alignment across OSS and SaaS surfaces and delivering meaningful improvements to developers on a frequent and predictable cadence.

• Oversee the evolution of the SDK generator and template framework to maintain cross language consistency, configurability, and long term maintainability.

• Ensure consistent and high quality implementation of SDK features including authentication flows, error handling, retry logic, rate limiting, and advanced capabilities such as BatchCheck and ListRelations.

• Establish and maintain strong engineering standards for testing, CI workflows, dependency management, release processes, and developer documentation.

• Foster a strong open source culture by ensuring community pull requests are reviewed promptly and contributors are supported in reaching a mergeable state.

• Partner closely with FGA Core on API design and semantics to ensure a clean and developer friendly experience across all tooling.

• Support career growth and development through regular 1:1s, coaching, feedback, and performance management.

• Recruit and hire strong engineers to build and scale the Developer Tooling team in India.

• Maintain a team culture of ownership, transparency, rigor, and psychological safety in a distributed environment.

You might be a good fit if you

• Have experience managing software engineering teams delivering SDKs, platforms, or developer tooling.

• Have a strong technical background and are comfortable going deep into architecture and design discussions across multiple languages.

• Have experience working in or contributing to open source projects.

• Have experience managing geographically distributed teams.

• Are skilled at coaching engineers across different career stages.

• Are comfortable operating with ambiguity and helping create clarity across teams.

• Thrive in collaborative environments that require strong cross functional alignment.

• Are a strong communicator who can work effectively with technical and non technical stakeholders.

What you will bring to the role

• 7+ years of software engineering experience with prior experience as an Engineering Manager or Technical Lead.

• Strong understanding of SDK design, API ergonomics, authentication flows, and resilient distributed systems.

• Experience with CI CD systems such as GitHub Actions and modern build workflows.

• Familiarity with code generation frameworks such as OpenAPI Generator and templating systems.

• Experience working in open source development models and PR based workflows.

• Passion for authorization, identity, and developer experience

#LI-Hybrid

P24598_3385578

Job Description

Okta’s Auth0 is an easy to implement, adaptable authentication and authorization platform. We make everyone’s login experience awesome. If you are a problem solver who wants to make this login experience even better, then look no further - Okta Auth0 B2C Authentication domain is where you want to be. Our domain’s mission is to provide a simple, secure, standards-compliant and delightful authentication experience for both end users and developers. We work with NodeJS, React, golang, Swift, Java / Kotlin, Postgres/MongoDB databases and our services run on both AWS and Azure. Our tech stack continues to evolve and expand to new technologies and trends. We are proponents of using the right tools for the job.

We are looking for an engineer who leverages AI coding assistants (e.g., GitHub Copilot, Google Gemini, Claude) to accelerate the software development lifecycle without compromising security. You should be proficient in using LLMs for rapid prototyping, boilerplate generation, and complex refactoring, effectively cutting down development time. Crucially, you must possess the judgment to audit, debug, and secure AI-generated code, ensuring it meets our strict authentication standards. You will use AI not just to write code, but to generate comprehensive unit tests, document systems, and simulate edge-case scenarios in our auth flows.

As a member of the Native Apps team you will:

• Be a part of fast paced, agile team comprising of engineers, a product manager and designer.

• Design and develop features, APIs and fixes to handle our current and future scale.

• You don’t wait for a perfect set of instructions; you proactively figure out what is needed to make a project successful.

• Help our customers have an awesome experience with our products.

• Collaborate with the support team for customer questions.

• Participate on our on-call rotations for troubleshooting production issues.

• Mentor other engineers.

• Lead team discussions and sprint planning.

• Improve the team’s productivity.

You are a good fit for this role if you:

• Have 5+ years of software development experience.

• Have excellent communication and collaboration skills.

• Have experience building public or internal mobile APIs/SDKs and working with Swift and Objective-C.

• Have experience with UIKit, SwiftUI, programmatic Auto Layout, and iOS design patterns (MVVM, reactive programming).

• Have experience with unit/UI/integration/performance testing on iOS (Quick, Nimble, XCTest, XCUITest, etc.).

• Have experience with Realm database or similar mobile NoSQL solutions.

• Have experience with mobile CI/CD pipelines (GitHub Actions).

• Are autonomous and have a continuous improvement mindset.

• Pay attention to details and keep user experience a top priority. 

• Enjoy being part of a highly collaborative, remote friendly environment.

Bonus points if you:

• Have 1+ years of experience in identity and access management (IAM) domain, particularly with Auth0 Guardian SDK or similar MFA/authentication solutions.

• Have experience with infrastructure-as-code tools (e.g., Fastlane, Xcode Cloud, or Terraform).

#LI_Hybrid

P24574_3363700

Job Overview:

We are looking for a highly experienced Staff Engineer to join the FGA Developer Tooling team and lead the evolution of our end to end developer experience across both OSS and SaaS.

This team owns the SDKs in Go, JavaScript, .NET, Python, Java and other languages, along with CLI workflows, IDE integrations, GitHub automation, developer documentation, and release strategy. All development is done in the open as open source, and we actively welcome and review community contributions.

Our guiding principle is One developer experience, many deployment models.

As a Staff Engineer, you will define technical direction, ensure cross language consistency, influence API design in partnership with FGA Core, and raise the quality bar across all developer facing tooling.

Responsibilities:

• Define and drive the technical direction for FGA SDKs, CLI, IDE integrations, and developer automation across OSS and SaaS.

• Lead architectural decisions for multi language SDKs in Go, JavaScript, .NET, Python, and Java, leveraging and evolving the SDK generator that forms the core of all clients.

• Own and evolve the SDK generator framework, templates, and wrapper patterns to ensure cross language consistency, configurability, and long term maintainability.

• Establish standards across SDKs for authentication flows such as client credentials, error mapping and handling, retry logic with appropriate rate limiting strategies, and method level configuration overrides.

• Ensure advanced SDK capabilities such as BatchCheck, ListRelations, and non transactional write operations are implemented with appropriate parallelization, performance safeguards, and consistency across languages.

• Own and evolve the release and versioning strategy for SDKs and developer tooling.

• Drive improvements to CLI workflows, GitHub Actions, CI pipelines, and developer focused documentation and examples.

• Ensure high engineering standards for testing, mocking external requests, dependency management, performance, and minimal external dependencies.

• Lead development fully in open source, review community pull requests, guide contributors to a mergeable state, and improve contribution workflows and community health.

• Partner closely with FGA Core on API design and semantics, and with internal consumers such as Dashboard to ensure developer friendly interfaces.

• Mentor engineers and raise the technical bar across the Developer Tooling team.

Requirements:

• 8+ years of experience as a Software Engineer, with significant experience building SDKs, developer platforms, or tooling.

• Proficiency in at least one, and ideally multiple, of the following: Go, JavaScript or TypeScript, C# .NET, Python, or Java.

• Strong understanding of SDK design principles, API ergonomics, and cross language consistency.

• Experience designing or maintaining code generation systems such as OpenAPI Generator and templating frameworks.

• Experience designing authentication flows, retry strategies, rate limiting, and resilient client side systems.

• Experience setting up and maintaining GitHub Actions and release workflows.

• Strong testing practices including mocking external services and validating client behavior.

• Experience working in open source projects and PR based contribution models. Experience maintaining or leading open source projects is strongly preferred.

• Ability to influence technical direction across teams and operate effectively in a distributed, open development environment.

• Strong communication skills and ability to collaborate closely with internal teams and external contributors.

#LI-Hybrid

P24601_3385572

Job Role Summary: 

We are looking for an experienced and driven Software Engineer II to join our Audio Visual (AV) & Unified Communications (UC) team. In this role, you will act as the software engineering backbone for our AV/UC infrastructure, helping us scale our global communication tools through intelligent automation.

You will be responsible for designing, building, and maintaining automations for our core SaaS platforms, developing internal microservices, and implementing infrastructure-as-code to eliminate manual overhead. The ideal candidate is an independent problem-solver who enjoys working at the intersection of software development and enterprise communication systems.

Key Responsibilities

• SaaS Platform Automation: Design and deploy automated workflows for our primary AV/UC SaaS platforms (e.g., Zoom, Microsoft Teams, Webex, Slack) using their native APIs and webhooks to manage user lifecycles, provisioning, and reporting.
• Internal Services Development: Build, maintain, and scale internally built services, middlewares, and self-service tools that empower end-users and streamline AV/UC operations.
• Infrastructure Automation: Write and maintain scripts and infrastructure-as-code (IaC) to automate the deployment, configuration, and monitoring of AV hardware and UC software environments.
• System Integration: Connect disparate enterprise systems (e.g., HRIS, IT ticketing, and UC platforms) to ensure seamless data flow and process automation.
• Monitoring & Alerting: Develop automated health checks, proactive monitoring, and alerting mechanisms for critical AV/UC infrastructure to minimize downtime.
• Collaboration & Code Quality: Participate in code reviews, maintain clear technical documentation, and write unit/integration tests to ensure highly reliable code deployments.

Required Skills and Experience Level: 

• Experience: 2–4 years of professional experience in software development, backend engineering, or a Site Reliability Engineering (SRE) / DevOps role.
• Programming Languages: Strong proficiency in at least one modern programming language such as Python, Go, JavaScript/Node.js, or C#.
• API Expertise: Proven experience interacting with and designing RESTful APIs, Webhooks, and handling JSON/XML data payloads.
• Infrastructure & Cloud: Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
• Automation Tools: Experience with Infrastructure as Code (e.g., Terraform, CloudFormation) and configuration management tools (e.g., Ansible, Chef, or Puppet).
• Version Control & CI/CD: Solid understanding of Git workflows and building CI/CD pipelines (e.g., GitHub Actions, GitLab CI, Jenkins).

Preferred Skills: 

• Direct experience working with APIs from major Unified Communications platforms (Zoom, MS Teams, Google Meet, Cisco, etc.).
• Familiarity with AV hardware ecosystems and their management interfaces.
• Experience building chatbots or chatops integrations (e.g., Slackbot, Teams bot).
• Works on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors, including inter-organizational impact
• Interact with senior internal and external personnel on event production systems matters, standards, and related projects 
• Proficiency with Google Suite tools.
• Security Compliance Certification ISC2 
• Familiarity with QSC, Dante, Crestron, Shure, and AV over IP 
• Collaborative thought leader with the ability to take a proactive approach to dynamic technical aspects of the role
• Okta Essentials Certification is a plus 
• Jamf Associate Certification is a plus 

#Hybrid_Bengaluru

#LI_Linkedin P24874_3391504

Job Overview:

We are looking for a highly experienced Staff Engineer to join the FGA Developer Tooling team and lead the evolution of our end to end developer experience across both OSS and SaaS.

This team owns the SDKs in Go, JavaScript, .NET, Python, Java and other languages, along with CLI workflows, IDE integrations, GitHub automation, developer documentation, and release strategy. All development is done in the open as open source, and we actively welcome and review community contributions.

Our guiding principle is One developer experience, many deployment models.

As a Staff Engineer, you will define technical direction, ensure cross language consistency, influence API design in partnership with FGA Core, and raise the quality bar across all developer facing tooling.

Responsibilities:

• Define and drive the technical direction for FGA SDKs, CLI, IDE integrations, and developer automation across OSS and SaaS.

• Lead architectural decisions for multi language SDKs in Go, JavaScript, .NET, Python, and Java, leveraging and evolving the SDK generator that forms the core of all clients.

• Own and evolve the SDK generator framework, templates, and wrapper patterns to ensure cross language consistency, configurability, and long term maintainability.

• Establish standards across SDKs for authentication flows such as client credentials, error mapping and handling, retry logic with appropriate rate limiting strategies, and method level configuration overrides.

• Ensure advanced SDK capabilities such as BatchCheck, ListRelations, and non transactional write operations are implemented with appropriate parallelization, performance safeguards, and consistency across languages.

• Own and evolve the release and versioning strategy for SDKs and developer tooling.

• Drive improvements to CLI workflows, GitHub Actions, CI pipelines, and developer focused documentation and examples.

• Ensure high engineering standards for testing, mocking external requests, dependency management, performance, and minimal external dependencies.

• Lead development fully in open source, review community pull requests, guide contributors to a mergeable state, and improve contribution workflows and community health.

• Partner closely with FGA Core on API design and semantics, and with internal consumers such as Dashboard to ensure developer friendly interfaces.

• Mentor engineers and raise the technical bar across the Developer Tooling team.

Requirements:

• 8+ years of experience as a Software Engineer, with significant experience building SDKs, developer platforms, or tooling.

• Proficiency in at least one, and ideally multiple, of the following: Go, JavaScript or TypeScript, C# .NET, Python, or Java.

• Strong understanding of SDK design principles, API ergonomics, and cross language consistency.

• Experience designing or maintaining code generation systems such as OpenAPI Generator and templating frameworks.

• Experience designing authentication flows, retry strategies, rate limiting, and resilient client side systems.

• Experience setting up and maintaining GitHub Actions and release workflows.

• Strong testing practices including mocking external services and validating client behavior.

• Experience working in open source projects and PR based contribution models. Experience maintaining or leading open source projects is strongly preferred.

• Ability to influence technical direction across teams and operate effectively in a distributed, open development environment.

• Strong communication skills and ability to collaborate closely with internal teams and external contributors.

#LI-Hybrid

P24600_3385570

Job Overview:

We are looking for a Senior Engineer to join the FGA Developer Tooling team and help evolve our end to end developer experience across both OSS and SaaS.

This team owns the SDKs in Go, JavaScript, .NET, Python, Java and other languages, along with CLI workflows, IDE integrations, GitHub automation, developer documentation, and release strategy. All development is done in the open as open source, and we actively welcome and review community contributions.

Our guiding principle is One developer experience, many deployment models.

As a Senior Engineer, you will take ownership of significant portions of the SDK and tooling ecosystem, ensure high quality implementations across languages, and contribute to a consistent and reliable developer experience.

Responsibilities:

• Maintain and enhance existing SDKs for FGA in Go, JavaScript, .NET, Python, and Java, leveraging our SDK generator framework.

• Customize and refine SDK templates and wrappers to ensure consistency across languages and support configuration overrides such as store ID, authorization model ID, headers, and parallelization limits.

• Implement and improve core SDK features including client credentials authentication flows, robust error mapping, retry logic with jitter, and rate limiting safeguards.

• Implement advanced capabilities such as BatchCheck, ListRelations, and non transactional write operations with appropriate parallelization and performance considerations.

• Contribute to the SDK generator tooling, templates, and supporting build workflows using Docker and related tooling.

• Develop comprehensive tests for all exposed methods, including proper mocking of external requests.

• Write and maintain clear developer focused documentation, guides, and examples.

• Optimize and maintain CI workflows using GitHub Actions for building, testing, and releasing SDK clients.

• Minimize external dependencies within SDKs, introducing new dependencies only when clearly justified.

• Collaborate closely with FGA Core and other internal teams to ensure API changes are reflected cleanly and consistently across SDKs.

• Participate actively in open source development, review community pull requests, and help contributors reach a mergeable state.

• Participate in code reviews and post delivery validation to ensure high quality, secure SDK releases.

Requirements:

• 5+ years of experience as a Software Engineer, ideally with experience building SDKs, libraries, or developer tooling.

• Proficiency in at least one, and ideally multiple, of the following: Go, JavaScript or TypeScript, C# .NET, Python, or Java.

• Solid understanding of SDK development principles, API ergonomics, and cross language design considerations.

• Experience working with code generation tools such as OpenAPI Generator and templating systems.

• Experience implementing authentication flows, retry logic, error handling, and managing client side parallelization.

• Experience setting up and maintaining GitHub Actions and release workflows.

• Strong testing practices including mocking external services and validating client behavior.

• Good understanding of version control systems and familiarity with PR based development workflows.

• Experience working in open source projects is a plus.

• Strong problem solving skills and the ability to work independently while collaborating in a distributed, open development environment.

#LI-Hybrid

P24599_3405693

Job Overview

We are looking for an Engineering Manager to lead the FGA Developer Tooling team in India.

This team owns the end to end developer experience for FGA across OSS and SaaS, including SDKs in Go, JavaScript, .NET, Python, Java and other languages, the SDK generator that powers them, CLI workflows, IDE integrations, GitHub automation, developer documentation, and release strategy. All development is done in the open as open source, and we actively welcome and review community contributions.

Our guiding principle is One developer experience, many deployment models.

As an Engineering Manager, you will build and grow a high performing team, drive execution across the developer tooling roadmap, and ensure we deliver a consistent and high quality developer experience to both OSS and SaaS users.

Responsibilities

• Lead and grow a team of engineers responsible for FGA SDKs, the SDK generator, CLI workflows, IDE integrations, and developer automation.

• Drive execution of the Developer Tooling roadmap in partnership with Product and FGA Core, ensuring alignment across OSS and SaaS surfaces and delivering meaningful improvements to developers on a frequent and predictable cadence.

• Oversee the evolution of the SDK generator and template framework to maintain cross language consistency, configurability, and long term maintainability.

• Ensure consistent and high quality implementation of SDK features including authentication flows, error handling, retry logic, rate limiting, and advanced capabilities such as BatchCheck and ListRelations.

• Establish and maintain strong engineering standards for testing, CI workflows, dependency management, release processes, and developer documentation.

• Foster a strong open source culture by ensuring community pull requests are reviewed promptly and contributors are supported in reaching a mergeable state.

• Partner closely with FGA Core on API design and semantics to ensure a clean and developer friendly experience across all tooling.

• Support career growth and development through regular 1:1s, coaching, feedback, and performance management.

• Recruit and hire strong engineers to build and scale the Developer Tooling team in India.

• Maintain a team culture of ownership, transparency, rigor, and psychological safety in a distributed environment.

You might be a good fit if you

• Have experience managing software engineering teams delivering SDKs, platforms, or developer tooling.

• Have a strong technical background and are comfortable going deep into architecture and design discussions across multiple languages.

• Have experience working in or contributing to open source projects.

• Have experience managing geographically distributed teams.

• Are skilled at coaching engineers across different career stages.

• Are comfortable operating with ambiguity and helping create clarity across teams.

• Thrive in collaborative environments that require strong cross functional alignment.

• Are a strong communicator who can work effectively with technical and non technical stakeholders.

What you will bring to the role

• 7+ years of software engineering experience with prior experience as an Engineering Manager or Technical Lead.

• Strong understanding of SDK design, API ergonomics, authentication flows, and resilient distributed systems.

• Experience with CI CD systems such as GitHub Actions and modern build workflows.

• Familiarity with code generation frameworks such as OpenAPI Generator and templating systems.

• Experience working in open source development models and PR based workflows.

• Passion for authorization, identity, and developer experience

#LI-Hybrid

P24598_3385578

So, what’s the role all about?

The DevOps Engineer works as an integrated part of a software engineering team with specific focus on facilitating and building automated pipelines for continuous delivery of the team's deliverables with guaranteed production-level quality and supportability.

How will you make an impact?  

• Manage large scale cluster environments residing on AWS/On prem Windows servers.
• Perform high-level, day-to-day operational maintenance, support, and upgrades for the existing infrastructure.
• Research and recommend innovative solutions, and where possible, automate key administration tasks.
• Provide guidance in the creation and modification of standards and procedures
• Create topics, setup redundancy cluster, deploy management / monitoring tools, alerts.
• Provide technical expertise and guidance to the team.

Have you got what it takes?

• Proven expertise in managing .NET applications and Windows Server environments.
• Expertise in automation through Python or PowerShell is a must.
• Hands-on experience with AWS, CI/CD pipelines using Jenkins and GitHub Actions.
• Solid experience in setting up and maintaining high-availability clusters, including providing 24/7 support.
• Proficient in automation and configuration management using Ansible.
• Strong understanding of security best practices, performance optimization, and disaster recovery planning.
• Familiarity with Team Foundation Server (TFS) and SQL Server is a plus.
• Experience with Prometheus and Grafana for monitoring and observability.

 What’s in it for you?

Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr!

Enjoy NICE-FLEX!

At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID: 9025

Reporting into: Tech Manager, CX

Role Type: Individual Contributor

Role - Staff Software Engineer: Industry Assurance Platform

The Problem We’re Solving

Most disaster recovery is a checkbox. What happens when a ransomware attack doesn't just take down one server, but knocks out the entire ecosystem of suppliers and trading partners for weeks? In healthcare, that’s a catastrophe. We are building an industry-wide, high-availability trading platform that steps in when the primary systems fail.

What We Need You to Do

We are seeking a highly skilled and hands-on Staff Software Engineer to provide deep technical leadership within our engineering organization. This role is intended for senior technologists who excel at solving complex engineering problems, driving architectural excellence, and elevating the technical capabilities of the broader team.

The Staff Engineer operates as a senior individual contributor who influences technical direction, mentors engineers, and collaborates cross-functionally to deliver scalable, reliable, and high-quality software solutions. This role does not include direct people management responsibilities but carries significant technical ownership and organizational impact.

Key Responsibilities

· Technical Leadership – Design and implement scalable, secure and hig-performance software system; Lead complex technical initiatives spanning multiple teams or systems

· Hands-on Development – Contribute actively to codebase through design, development, code reviews and performance optimizations; Champion modern practices including automation, observability and resiliency

· Mentorship – Promote high standards in coding, testing, documentation and system design; develop technical talent by sharing knowledge

· Cross-functional collaboration – Partner closely with Product Management, Marketing, Operations and other stakeholders to translate business needs to technical solutions; Communicate complex technical concepts to non-technical audience

· Execution & Delivery – Provide leadership during planning, estimation & execution phases

Required Qualifications

· Bachelor’s degree in Computer science, Engineering or equivalent

· 8-10 years of experience in designing and building distributed software systems using Microsoft tech stack (.Net, C# )

· Experience in cloud services Azure/AWS Lambda, SQS, API Gateway, ECS etc.

· Hands-on experience with messaging systems like Kafka or Azure Service Bus

· Knowledge of Entity Framework, LINQ, PostgreSQL, MongoDB

· Implementing responsive UI using HTML5, CSS3, Angular

· Implementing CI/CD pipelines using Azure DevOps, GitHub Actions. Knowledge of Containerization and orchestration tools

· Implement testing strategies using unit, integration and API testing

Preferred Skills

· Multi-Cloud & Serverless Experience: Familiarity deploying applications on Azure & AWS specific services like Lambda and Step Functions (for hybrid-cloud orchestration)

· Leverage AI-powered tools - GitHub Copilot/Claude Code/Cursor - to accelerate delivery

· Exposure to AI/ML integration for predictive analytics

Impact of the role

Success in this role will be measured by technical outcomes — improved system scalability and stability, stronger engineering practices, accelerated delivery through mentorship, and effective collaboration across organizational boundaries.

Senior DevSecOps Engineer

Position Summary

The Senior DevSecOps Engineer will be embedded within product engineering teams to implement and maintain secure, automated, and reliable delivery pipelines while following standards, frameworks, and guardrails set by the DevSecOps Center of Excellence (CoE).

This is a hands-on role that reports to the Manager of DevSecOps and works directly with developers, SREs, and product managers to enable faster, safer deployments, cost-efficient infrastructure, and adherence to enterprise security policies. The engineer will collaborate closely with Principal and Senior Staff DevSecOps engineers for technical guidance and mentoring while operating within the centralized DevSecOps leadership framework.

Key Responsibilities

Product Line DevSecOps Execution

· Build and maintain CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, ArgoCD) for the assigned product line.

· Integrate security testing (SAST, SCA, DAST, container scanning) into build and deployment workflows.

· Apply CoE standards, templates, and automation frameworks consistently within product environments.

· Troubleshoot and resolve DevSecOps issues, escalating complex challenges to Staff/Principal engineers.

Infrastructure & Automation

· Implement Infrastructure-as-Code (Terraform, CloudFormation) for product infrastructure.

· Adopt GitOps practices for repeatable and auditable infra provisioning.

· Ensure infrastructure deployments comply with security guardrails, tagging, and cost controls.

Observability, Security & Compliance

· Collaborate with SREs to enable monitoring, logging, and observability (Prometheus, Grafana, OpenTelemetry, New Relic, CloudWatch).

· Ensure pipelines and infrastructure comply with HIPAA, SOC2, and internal security standards.

· Embed IAM, KMS, GuardDuty, Security Hub into workflows for cloud security posture.

FinOps & Cost Awareness

· Implement CoE-defined cost governance practices in product pipelines.

· Ensure workloads are tagged, right-sized, and cost-efficient.

· Provide cost visibility to product teams and support FinOps reviews.

Collaboration & Continuous Improvement

· Work closely with developers, QA, SRE, and product managers to support secure and efficient delivery.

· Participate in CoE knowledge-sharing sessions, playbooks, and Communities of Practice.

· Contribute feedback from product teams back into the CoE to improve standards and frameworks.

· Continuously learn from Staff and Principal engineers and apply best practices within the product line.

Qualifications & Experience Required

· 8+ years in DevOps, Cloud, or Security Engineering.

· Strong hands-on experience with CI/CD pipeline tools (GitHub Actions, GitLab CI, Jenkins, ArgoCD).

· Proficiency in AWS services (EKS, ECS, EC2, S3, IAM, Security Hub, GuardDuty).

· Hands-on with containers & Kubernetes (Docker, EKS).

· Experience with Infrastructure-as-Code (Terraform, Pulumi, CloudFormation).

· Familiarity with observability platforms (Prometheus, Grafana, OpenTelemetry, New Relic, CloudWatch).

· Programming/scripting in Python, Go, or shell scripting.

· Strong collaboration skills in cross-functional product teams.

Preferred

· Experience in SaaS or healthcare software environments.

· Knowledge of databases (MongoDB, Elasticsearch, SQL).

· Familiarity with compliance frameworks (HIPAA, SOC2, ISO 27001).

· Certifications: AWS Security Specialty, CKA/CKAD, FinOps Certified Practitioner

Overview:

We are seeking a highly experienced Platform Engineer to architect, build, and operate a next-generation AI-powered Internal Developer Platform (IDP) that enables rapid, secure, and scalable software delivery across the enterprise.

This role will manage a critical Kubernetes platform and drive automation through Terraform, ArgoCD, and Azure DevOps. While your foundation is rooted in SRE and DevOps excellence, you will also lead our efforts to integrate Agentic AI into the platform, building intelligent workflows that automate environment provisioning, incident triage, and self-service capabilities to eliminate operational friction.

You will operate at the intersection of Platform Engineering, Cloud Infrastructure, AI automation, and Developer Experience, building systems that empower engineering teams to move faster with higher reliability and lower operational overhead.

Tech Stack Mandate

What You’ll Do: 

• Platform Architecture: Design, Develop and evolve a self-service Internal Developer Platform (leveraging Backstage or similar) to abstract cloud complexity for engineering teams.
• Infrastructure as Code (IaC): Lead the development of modular, enterprise-grade Terraform libraries to manage multi-region Azure and AWS environments.
• Kubernetes Orchestration: Operate and manage large-scale Kubernetes clusters, focusing on networking, security hardening, and workload autoscaling.
• Continuous Delivery: Own the CI/CD lifecycle by building robust Azure DevOps Pipelines and implementing GitOps patterns using Argo CD.
• AI-Enhanced Automation: Develop Python-based automation and AI agents to assist in infrastructure scaffolding, policy enforcement, CI/CD actions and proactive cost optimization.
• SRE & Reliability: Partner with dev teams to define SLIs/SLOs and integrate observability (Datadog/Prometheus) to create self-healing infrastructure loops.
• Developer Advocacy: Continuously improve Developer Experience (DevEx) by reducing cognitive load and providing automated onboarding and documentation for new services.

Required Technical Qualifications: 

• 7+ years in Platform Engineering, DevOps, or Site Reliability Engineering.
• Expert-level Terraform: Experience managing complex state, custom providers, and enterprise-grade modules.
• K8s Specialist: Deep understanding of CNI, CSI, Ingress Controllers, and Service Mesh.
• Python Mastery: Ability to write production-grade Python for building CLI tools, automation scripts, and AI agent logic.
• Agentic AI Experience: Proven experience moving beyond simple prompts to building autonomous agents that use tools/APIs to perform tasks day to day platform engineering tasks
• Production GitOps: Hands-on experience scaling Argo CD across hundreds of microservices.

Preferred Qualifications: 

• Experience with Azure OpenAI Service and building RAG (Retrieval Augmented Generation) systems f
• Knowledge of Policy-as-Code (OPA/Gatekeeper or Kyverno) integrated into CI/CD.
• Background in FinOps, specifically using AI to drive automated cloud cost reduction.

Competencies:

• Zero-Touch Provisioning: A developer can go from "Idea" to "Production-Ready URL" in minutes via an AI-guided workflow.
• Autonomous SRE: AI agents proactively identify and fix 30% of common infrastructure drift or pod failures before a human is paged.
• Immutable Infrastructure: 100% of production changes are driven via Terraform and Argo CD—no manual "click-ops."

What We Offer: 

• Competitive compensation 
• Employee medical coverage 
• Central office location 
• Entrepreneurial environment, autonomy, and fast decisions 
• Casual work environment 

About Guidepoint: 

Guidepoint is a leading research enablement platform designed to advance understanding and empower our clients’ decision-making process. Powered by innovative technology, real-time data, and hard-to-source expertise, we help our clients to turn answers into action. 

Backed by a network of nearly 1.75 million experts and Guidepoint’s 1,600 employees worldwide, we inform leading organizations’ research by delivering on-demand intelligence and research on request. With Guidepoint, companies and investors can better navigate the abundance of information available today, making it both more useful and more powerful. 

At Guidepoint, our success relies on the diversity of our employees, advisors, and client base, which allows us to create connections that offer a wealth of perspectives. We are committed to upholding policies that contribute to an equitable and welcoming environment for our community, regardless of background, identity, or experience. 

#LI-AD2

#LI-HYBRID

Senior Software Engineer:

Role summary Build, evolve, and operate backend services at scale for ZoomInfo. You’ll work primarily with Node.js/TypeScript (NestJS preferred), design robust REST/GraphQL APIs, optimize MongoDB/Redis, and deploy on cloud (GCP preferred or AWS) with a strong focus on reliability, performance, security, and cost efficiency.

What you’ll do:

• Design, implement, and own microservices and REST/GraphQL APIs in Node.js/TypeScript (NestJS preferred)
• Translate product requirements into technical designs; break down work, estimate, and deliver incrementally
• Model data and optimize queries in MongoDB; implement effective caching with Redis (TTL, eviction, hot-key mitigation)
• Ship production-ready code with unit/integration tests; participate in on-call, incident response, and postmortems
• Containerize and deploy via Docker/Kubernetes; automate builds and releases with CI/CD (blue/green or canary)
• Instrument services for logs, metrics, and traces (p95/p99); continuously improve latency, reliability, and cost
• Review code, document designs, and mentor SE II/III engineers; contribute to shared standards and best practices

What you bring:

• 7+ years of software engineering experience, including 3+ years building backend services in Node.js/TypeScript
• Strong API fundamentals: versioning, pagination, authN/Z (OAuth/OIDC), and secure coding (OWASP)
• Hands-on with NestJS/Express/Fastify; familiarity with microservices patterns and event-driven workflows
• MongoDB expertise (schema design, indexing, basic sharding concepts) and Redis caching patterns
• Cloud experience on GCP (preferred) or AWS; Docker; working knowledge of Kubernetes; CI/CD with GitHub Actions/Jenkins/GitLab
• Observability skills: Datadog/OpenTelemetry/Prometheus/Grafana; confident debugging in production
• Collaboration and communication skills; bias for clean, well-tested, and well-documented code

Nice to have:

• Kafka or Pub/Sub; API Gateway/Ingress; feature flags; rate limiting and quotas
• Terraform/Helm; security tooling (SonarQube), dependency hygiene, secret management
• Performance profiling, load testing, and practical cost optimization

#LI-PM1

#LI-Hybrid

What you will do:

• Build and maintain reliable, high-quality integrations between G-P's platform and third-party HRIS systems (ADP, Workday, etc.).
• Design and develop new services leveraging a serverless, event-driven microservices architecture (AWS SAM/Lambda, EventBridge, SNS).
• Own and enhance components of our public API platform, focusing on robust REST API design, OAuth implementation, and management of inbound and outbound webhooks.
• Translate high-level product requirements and business needs into clearly defined, pragmatic workstreams, design specifications, and sprint stories.
• Collaborate closely with Product and User-Experience teams to understand requirements.
• Contribute to the evolution of the SDLC and champion engineering best practices.

What we're looking for:

Minimum Requirements:

• Communication and Initiative: Exceptional communication skills (written and oral) and proven ability to show initiative and thrive in a multi-region remote-first environment.
• Adaptability: A pragmatic approach to problem-solving, with the ability to pivot and adapt to changing requirements (this is prioritized above technical expertise).
• Serverless Expertise: Strong command of serverless architectures, specifically using AWS SAM/Lambda.
• NoSQL Database Proficiency: Deep, practical experience designing and working with NoSQL databases, specifically DynamoDB (we run DynamoDB exclusively, no relational DBs).
• Architecture & Design: Proven experience designing, building, and maintaining microservices and bounded contexts, including applying anti-corruption layers.
• API & Messaging: Demonstrated ability in REST API design and implementing event-driven patterns using technologies like AWS EventBridge and SNS, and experience with OAuth and webhooks (inbound and outbound).
• Tooling: Experience with CI/CD practices using GitHub Actions.
• Experience developing & integrating full-stack web applications using modern frameworks (e.g., Typescript, React, Node.js, APIs).
• B.S. in Computer Science or equivalent.

Preferred Qualifications: 

• Experience in a product engineering space, translating high-level requirements into technical plans and workstreams is highly desirable.
• Experience working on third-party integrations with major HRIS systems (Workday, SAP, ADP).
• Familiarity with modern AI tools, e.g., Cursor.
• Experience in a startup or high-growth environment is desirable.

About the role

As an SRE on the Datapath Inline quality engineering team you will have an opportunity to work on world-class SWG solutions. As part of the Inline quality engineering team, you would be required to test, qualify and automate our inline SWG solutions for Email security. You will collaborate with backend service teams to ensure the overall quality, reliability, scalability and performance of the Netskope products. You will work on both the frontend as well as the web application backend. At Netskope, we are looking for innovative, passionate and self motivated engineers like you, who are willing to make an impact with their technical expertise.

What’s in it for you

Netskope’s NG-SWG is a cloud-native solution for protecting enterprises from the growing volume of sophisticated cloud enabled threats and data risks, and has been recognized by Gartner as a market leader in their Magic Quadrant reports. As a member of this team, you will play a key role in the  design, development and delivery of frameworks and automation to test our API backend in a CI/CD environment. 

Required Skills

• 8+ years of experience in a similar role
• Prior experience provisioning Ubuntu based hosts with Ansible
• Strong Git fundamentals, handling multiple workflows across multiple release branches
• Hands on experience with Jenkins 
• Solid understanding of Linux systems, package installation and uninstallation workflows,
• Excellent expertise with python and Linux scripting skills
• Experience with artifact management solutions such as artifactory

Preferred Skills

• Knowledge of other provisioning and configuration management systems, such as Salt
• Experience with multiple CI / CD orchestration tools, like drone, Github Actions etc
• Familiarity with building and packaging tool chains
• Proficient with secrets management tools such as Vault, SSM etc

What you will be doing

• Responsible for deployment of multiple services across 1800+ hosts spread among over 100 points of presence across the world
• Collaborate with QE and other internal teams to help ensure stability and avoid regressions in non production environment
• Co-ordinate with QE and PMs to plan, schedule and execute deployments
• Work with on call engineers to identify issues on time and propose roll back solutions if required
• Launch automation initiatives to streamline and optimize deployment workflows.

Education

• BSCS or equivalent required, MSCS or equivalent strongly preferred

#LI-DB1

About the Role

NICE is seeking a talented AI Engineer to accelerate innovation across the APAC region by leading AI-centric Proof of Concepts (POCs) and Pilots alongside our extended solution and sales engineering teams. This role sits at the intersection of cutting-edge AI development and customer-facing technical delivery, with a special focus on Agentic AI solutions that push the boundaries of what is possible with intelligent automation and large language models.

The AI Engineer will work hands-on to design, build, and demonstrate AI-powered solutions, translating complex technical capabilities into tangible business value for customers across APAC.

How will you make an impact?

Agentic AI POCs & Pilots

• Design and build Agentic AI proofs of concept

     Architect and develop end-to-end Agentic AI solutions demonstrating autonomous decision-making, multi-step reasoning, and task orchestration across APAC customer engagements.

• Prototype rapidly

     Build lightweight, demonstrable prototypes using LLMs, agent frameworks, and NICE /Cognigy platform APIs to showcase the art of the possible.

Development & Engineering

• Develop and integrate APIs, webhooks, and microservices connecting LLMs and AI models to enterprise platforms and CX workflows.
• Build and maintain reusable AI accelerator assets, code templates, and demo environments for the extended APAC team.
• Implement prompt engineering strategies, RAG pipelines, and agent orchestration frameworks LLM & AI Model Expertise
• Apply knowledge of large language models (GPT-4, Claude, Gemini, Llama, etc.) to design appropriate solutions for customer use cases.
• Evaluate and select the right model, fine-tuning approach, or retrieval strategy for each POC based on accuracy, latency, and cost requirements.
• Stay current with the rapidly evolving LLM ecosystem including model releases, agent frameworks, and emerging AI tooling.

Collaboration & Knowledge Sharing

• Contribute to internal playbooks, documentation, and demo libraries to uplift the broader team’s AI capabilities.
• Engage with customers directly to understand requirements and translate them into practical AI solution designs.

Have you got what it takes?

• Bachelor’s degree in computer science, Software Engineering, or a related field or equivalent experience.
• 4-8 years of software development experience in developing high performance, highly available and scalable enterprise-grade software products that can perform, scale, and integrate into a broad enterprise ecosystem.

Programming proficiency:

.

• Experience with REST APIs, JSON, cloud SDKs
• Familiarity with data processing, vector databases and embedding pipelines for RAG architecture.
• Ability to debug, iterate quickly, and deliver working demos under tight timelines.

AI & Machine Learning Understanding

• Solid conceptual and practical understanding of machine learning fundamentals, NLP/NLU, and generative AI.
• Experience designing or building Agentic AI systems — including tool use, memory, planning, and multi-agent coordination.
• Understanding of responsible AI practices, hallucination mitigation, and evaluation methodologies for LLM outputs.

LLM Usage & Prompt Engineering

• Proficient with LLM APIs     including OpenAI, Anthropic Claude, Google Gemini, Azure OpenAI, and open-source models via Hugging Face or Ollama.
• Strong prompt engineering skills: few-shot prompting, chain-of-thought, structured outputs, and system prompt design.

Version Control & Collaboration Tools

• GitHub / Git proficiency:

     Comfortable with branching strategies, pull requests, code reviews, and collaborative development workflows.

• Ability to manage, share, and version AI demo assets and code in shared repositories accessible to the extended team.
• Experience with CI/CD basics and familiarity with tools such as GitHub Actions, or similar pipelines, is advantageous.

.

You will have an advantage if you also have:

• Experience with NICE CXone, Cognigy (conversational AI & agent orchestration platform), or similar CCaaS / conversational AI platforms.
• Knowledge of the APAC technology landscape and experience working with enterprise customers in the region.
• Background in contact centre, CX, or enterprise SaaS environments.
• Exposure to voice AI, speech-to-text/text-to-speech pipelines, or real-time AI in contact Centre contexts.

What’s in it for You?

Join an ever-growing, market-disrupting, global company where teams — comprised of the best of the best — work in a fast-paced, collaborative, and creative environment. As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate about AI, innovative at heart, and excited to constantly raise the bar on what intelligent technology can do, you may just be our next NICEr!

Enjoy NICE-FLEX!

At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID: 10692                

Reporting into: Director,Solution Engineering

Position Summary:

We are seeking a Solution Architect – (AI Infrastructure & Hybrid Cloud) to lead the strategic design, architecture, and deployment of large-scale, enterprise-grade Red Hat OpenShift and Kubernetes environments. As a technical authority at the L4 level, you will be responsible for defining the blueprint of our cloud-native infrastructure, ensuring it is secure, scalable, and highly automated.
The ideal candidate acts as the bridge between traditional infrastructure and modern DevOps, serving as the lead design authority for global clients. You will collaborate with Network and Firewall Architects to build a unified fabric where containerized workloads, legacy data centers, and hybrid cloud environments coexist seamlessly through advanced automation and Infrastructure-as-Code (IaC).

Key Responsibilities:

• Architect and Design Enterprise OpenShift Solutions: Lead the high-level design (HLD) and low-level design (LLD) for multi-tenant Red Hat OpenShift and Kubernetes clusters across on-prem and hybrid cloud environments.
• Define the technology stack, standards, and blueprints for deploying AI solutions across global, multi-region public clouds (AWS/Azure/GCP) and diverse on-premise hardware.
• Oversee the successful end-to-end rollout of critical services including AI SOC, OpenShift AI, and AI-based Cybersecurity Log Optimization.
• Drive Network DevOps Strategy: Define and standardize the automation roadmap using Ansible, Terraform, and Python to achieve "Zero-Touch" infrastructure provisioning and configuration.
• Lead Customer & Stakeholder Engagement: Act as the primary technical consultant for global clients, leading design workshops, architecture validation, and executive-level technical reviews.
• Integrate Advanced AI apps, Networking & Security: Collaborate with Pre-sales, AI application developers & Engineers, Firewall Architects to design secure AI agents & use cases, container networking (CNI) models, implementing Zero-Trust security, service mesh (Istio), and micro-segmentation within OpenShift environment.
• Optimize Hybrid Infrastructure: Oversee the seamless integration of OpenShift with physical networking (Cisco ACI, VXLAN) and virtualized platforms (RHEL-V, VMware ESXi).
• GPU & Hardware Orchestration: Design and manage hardware acceleration using the NVIDIA GPU Operator and Node Feature Discovery (NFD). Implement Multi-Instance GPU (MIG) and time-slicing to optimize resource utilization across multi-tenant clusters.
• Establish CI/CD Governance: Architect robust CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions) for infrastructure and application delivery, ensuring compliance and security are baked into the workflow.
• Lead Observability & Reliability: Design comprehensive monitoring and logging architectures using Prometheus, Grafana, and ELK stack to ensure 99.99% availability of cluster services.
• Mentorship & Technical Leadership: Guide and mentor L2/L3 engineers, providing expert-level escalation support and establishing best practices for the DevOps and Network teams.
• Innovation & R&D: Evaluate and introduce emerging technologies such as Advanced Cluster Management (ACM), Advanced Cluster Security (ACS), and Cloud-Native Networking (OVN-Kubernetes).

Basic Qualifications:

• Bachelor’s or master’s degree in computer science, Engineering, or a related field
• 10+ years of progressive experience in systems architecture, infrastructure engineering, or network DevOps.
• Expert/Architect-level proficiency in OpenShift (RHOS), and Kubernetes architecture in large-scale production environments.
• Experience architecting hybrid-cloud OpenShift solutions involving AWS (ROSA), Azure (ARO), or Google Cloud.
• Proven track record in Automation & IaC: Mastery of Ansible, Terraform, and Git-based workflows to manage complex infrastructures.
• Deep understanding of Linux (RHEL) Internals: Mastery of kernel networking, storage drivers (CSI), and container runtimes (CRI-O).
• Strong Network Background: In-depth knowledge of BGP, VXLAN, and EVPN as they apply to connecting containerized workloads to physical data center fabrics.
• Experience in "Architecture as Code": Ability to develop and maintain compliance artifacts, design validation reports, and automated documentation.
• Excellent Leadership Skills: Demonstrated ability to manage high-stakes customer relationships and lead cross-functional technical teams

Preferred Qualifications:

• Certifications: Red Hat Certified Architect (RHCA), Red Hat Certified Specialist in OpenShift (Administration/Development), or CKA/CKS (Certified Kubernetes Administrator/Security), AWS/GCP Certified DevOps Engineer, AWS Certified SysOps Administrator, HashiCorp Certified: Terraform Associate
• Red Hat Certified OpenShift Administrator, AWS Certified AI Practitioner, Certified Information Systems Security Professional (CISSP), Certified Cloud Security Professional (CCSP)
• Security Focus: Exposure to DevSecOps tools (e.g., Quay, StackRox) and zero-trust framework implementation
• Legacy Integration: Familiarity with Cisco ACI, Arista CloudVision, or Juniper Apstra for end-to-end automation integration
• Red Hat OpenShift AI (ROAI) expertise will be preferred
• Familiarity with LLM deployment requirements and vector database infrastructure
• Background in Cybersecurity infrastructure (SIEM, SOAR, SOC & VAPT platforms)
• Experience with MLOps infrastructure (Kubeflow, MLflow) and high-speed telemetry pipelines

We are looking for an experienced Database Architect to design and govern scalable, secure, and high-performing database solutions across enterprise applications. The ideal candidate should have strong expertise in database architecture, data modeling, performance tuning, cloud databases, security, and DevOps-enabled database deployments.

This role will work closely with application teams, DevOps, infrastructure, and business stakeholders to define the right database strategies and ensure robust, future-ready solutions.

Key Responsibilities

• Design logical, physical, and conceptual data models
• Define database architecture standards, schema design, naming conventions, and best practices
• Design scalable, multi-tenant, and high-availability database solutions
• Evaluate and recommend the right database technologies such as SQL Server, Azure SQL, PostgreSQL, DB2, and NoSQL platforms
• Optimize database performance through indexing, query tuning, partitioning, and execution plan analysis
• Design and implement security controls including access management, encryption, masking, and auditing
• Ensure compliance with standards such as GDPR, SOX, HIPAA, PCI, where applicable
• Define backup, restore, disaster recovery, and data integrity strategies
• Support CI/CD and automated database deployments using DevOps practices
• Collaborate with development and architecture teams to review and approve database designs
• Create ER diagrams, architecture documents, and runbooks
• Mentor developers / DBAs on database best practices

Required Skills

• Strong experience in SQL Server / Azure SQL Database
• Good experience in PostgreSQL and DB2
• Strong knowledge of data modeling, normalization, and database design
• Expertise in SQL performance tuning, indexing, query optimization, and execution plans
• Experience with cloud database architectures, preferably on Azure
• Understanding of high availability, failover, backup, and disaster recovery
• Knowledge of database security, access control, and compliance-driven design
• Experience with Git, CI/CD, Terraform / Bicep / ARM, Azure DevOps or GitHub Actions
• Good understanding of microservices, distributed systems, and integration-heavy applications
• Strong documentation, communication, and stakeholder management skills

Preferred

• Experience with NoSQL databases such as Cosmos DB / MongoDB / DynamoDB
• Exposure to regulated industries like Banking, Insurance, Healthcare, etc.
• Strong architectural thinking with ability to balance scalability, security, and business needs

Soft Skills

• Strong analytical and problem-solving ability
• Excellent communication and collaboration skills
• Ability to influence and challenge design decisions constructively
• Mentorship and leadership mindset

THIS IS 5 DAYS WORK FROM OFFICE OPPORTUNITY

Role Summary

We are hiring Senior Engineers who combine solid software engineering fundamentals with proven proficiency in AI-assisted development. This role is designed for engineers who have actively used AI coding tools (such as Cursor, Claude Code, Codex CLI only) for at least one year and can leverage these capabilities to ship higher-quality code faster. You will be embedded in product engineering squads, leading feature development, mentoring junior engineers, and championing AI-first development practices across the team.

What Makes This Role Different

This is not an AI research role - it is a core engineering role for engineers who use AI as a force multiplier. We expect you to:

• Use AI coding assistants daily to accelerate development without sacrificing code quality.
• Critically evaluate AI-generated code for correctness, security vulnerabilities, and maintainability.
• Share best practices for AI-assisted workflows with the broader engineering team.
• Help define team standards for responsible and effective AI tool adoption.

Key Responsibilities

1  Feature Engineering & Delivery

• Design, build, and ship production-quality features across the full stack or within your domain (backend, frontend, platform, or data).
• Leverage AI coding assistants to write, refactor, document, and test end-to-end code efficiently.
• Translate product requirements and technical specifications into clean, maintainable implementations.
• Lead feature squads for medium-complexity initiatives from design through deployment.
• Participate in and drive sprint planning, backlog grooming, and technical estimation sessions.

2  AI-Augmented Development Practices

• Champion the use of AI pair-programming tools (Copilot, Cursor, Claude, etc.) across the engineering org.
• Develop and document internal guidelines for effective AI prompt engineering within coding workflows.
• Conduct training sessions or knowledge-share presentations on maximising productivity with AI tools.
• Critically audit AI-generated code for logic errors, security issues, and performance anti-patterns before merging.
• Stay updated on the latest AI development tooling and evaluate new tools for team adoption.

3  Code Quality & Engineering Excellence

• Write testable, modular, and well-documented code following the team's style guides and design principles.
• Drive test-driven development (TDD) and maintain code coverage targets.
• Perform thorough code reviews with constructive feedback; uphold engineering standards.
• Identify and address technical debt proactively; contribute to architecture improvements.
• Participate in RCA (root cause analysis) for production incidents; implement lasting fixes.

4  Architecture & Technical Design

• Contribute to system design discussions, proposing solutions with appropriate trade-off analysis.
• Create and maintain technical design documents (TDDs), ADRs (Architecture Decision Records), and API contracts.
• Evaluate and adopt relevant third-party libraries, APIs, and SaaS tools with a security-first mindset.
• Collaborate with platform / DevOps teams on observability, CI/CD pipelines, and infrastructure-as-code.

5  Mentoring & Team Growth

• Mentor 1–2 mid-level engineers; conduct regular 1:1 technical coaching sessions.
• Onboard new team members by sharing codebase context, tooling setup, and team practices.
• Contribute to a culture of psychological safety, learning from failures, and continuous improvement.

6  Cross-functional Collaboration

• Work closely with Product Managers, Designers, and Operations to deliver delightful, high-quality user experiences.
• Coordinate with data and AI/ML teams to integrate model endpoints, APIs, and AI features into product surfaces.
• Participate in customer-facing escalations where deep technical expertise is required.

Required Qualifications

1  Education

• Bachelor's degree in Computer Science, Software Engineering, or a related field.
• Candidates without a degree but with a strong portfolio and demonstrable project history will be considered.

2  Experience

• 3 – 5 years of professional software engineering experience in a product-focused environment.
• Minimum 1 year of active, hands-on experience using AI coding tools in professional work (not just personal projects).
• Track record of shipping production features end-to-end with measurable business impact.

3  Technical Skills — Core Engineering

• Languages: Proficiency in at least one of — Python, TypeScript/JavaScript, Java, Go, or Kotlin.
• Web / API: REST, GraphQL, gRPC; familiarity with microservices and event-driven architectures.
• Databases: SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis, DynamoDB).
• Cloud: AWS, GCP, or Azure — compute, storage, serverless, and managed services.
• DevOps: Docker, Kubernetes, CI/CD (GitHub Actions, Jenkins, CircleCI); IaC basics (Terraform/Pulumi).
• Testing: Unit, integration, and e2e testing frameworks; TDD/BDD familiarity.
• Version Control: Git, branching strategies (GitFlow, trunk-based), PR workflows.

4  AI Tooling Skills (Mandatory)

• Demonstrated proficiency with at least one AI coding assistant (Cursor IDE, Claude Code, Codex CLI).
• Ability to craft effective prompts for code generation, refactoring, debugging, and documentation tasks.
• Experience reviewing and validating AI-generated code for correctness and security.
• Understanding of limitations of LLM-based coding tools (hallucinations, context window, license risks).

5  Nice to Have

• Contributions to open-source projects.
• Experience building or integrating AI/ML features (e.g., calling LLM APIs, embedding models, RAG pipelines).
• Familiarity with agentic coding frameworks (LangChain, LlamaIndex, AutoGen, CrewAI).
• Experience in a startup or scale-up environment with rapid iteration cycles.
• Knowledge of web security (OWASP Top 10, secure coding practices).

Behavioural Competencies

• AI-First Mindset: Naturally reaches for AI tools to accelerate tasks while maintaining engineering rigour.
• Ownership: Takes end-to-end accountability — from design to deployment to monitoring.
• Pragmatism: Balances perfect with shipped; knows when to iterate vs. over-engineer.
• Mentorship: Invests in the growth of peers and junior colleagues.
• Communication: Writes clearly (code comments, docs, Slack) and articulates trade-offs confidently.
• Curiosity: Continuously explores new tools, languages, and architectural patterns.
• Collaboration: Works well in cross-functional squads; builds trust quickly.

About The Position:
To serve as the strategic leader of our engineering operating system. You will own the health, configuration, and insights derived from the Jira and Jellyfish tools, ensuring our leadership has a crystal-clear view of engineering investment, velocity, and health across the entire organisation.

We expect this candidate to be an "AI-First" practitioner, using agentic tooling to automate the mundane and focus on high-leverage organizational improvements.

What You Will Do:

Tooling Architecture & Governance

• Jira Cloud Expert: Design, build and maintain complex workflows, permission schemes, and automation rules at scale.
• Jellyfish Orchestration: Map Jira "Signals" to Jellyfish allocation buckets. Ensure the data reflects the true "Investment Distribution" (e.g., separating KTLO/Maintenance from Innovation).
• System Integrity: Standardize issue types and field usage across 20+ squads to ensure Jellyfish insights are statistically valid.

AI-Augmented Operations

• Natural Language Querying: Use Atlassian Intelligence to translate plain-English requests into complex JQL for instant reporting.
• AI Impact Analysis: Leverage Jellyfish AI Impact to measure how AI coding assistants (Copilot, Cursor) are actually shifting our "Time to Deliver" and code quality.
• Workflow Automation: Integrate  AI Agents to handle "ticket hygiene"—automatically flagging stale issues, summarizing long comment threads for stakeholders, and triaging incoming requests.
• Synthetic Insights: Use LLMs (Claude/ChatGPT) to synthesize monthly Jellyfish data into executive-level narratives that explain the "Why" behind the "What."

Strategic Delivery Insights

• DORA & Flow Metrics: Monitor Cycle Time, Lead Time, and Deployment Frequency to identify systemic bottlenecks. Also identify improvement opportunities.
• Capitalization Reporting: Partner with Finance to use Jellyfish data for R&D tax credit reporting and labor capitalization.
• Stakeholder Engagement: Work with stakeholders on triaging and aligning requirements in conjunction with tool administrators for a seamless rollout

What We Are Looking For:  

Minimum Requirements:

• Experience: 
• 5+ years in Engineering Operations (EngOps), Program Management, or a similar data-heavy engineering role.
• Tooling Expertise: 
• Jira Cloud: Expert-level administration skills.
• Jellyfish: Power user proficiency.
• Analytics & Metrics: 
• Deep understanding of Agile metrics and Engineering Investment categories.
• Strong knowledge of DORA metrics (Deployment Frequency, Lead Time for Changes, Change Failure Rate, and Time to Restore Service).
• Technical Skills: 
• Advanced proficiency in Jira Automation and JQL.
• Foundational knowledge of the SDLC process, Scrum, and SAFe methodologies.
• AI Proficiency: 
• Comfortable leveraging AI agents and LLMs for data analysis and scripting tasks.

 Preferred Skills & Qualifications

• Programming & Integration: Ability to write basic Python or JavaScript for API integrations.
• Cloud & Version Control: Experience with GitHub and AWS is considered a significant bonus.

About the position:

As a Staff Software Engineer at G-P you will be hands-on, perform as an individual contributor and will also lead a small team of software engineers.

What you'll do:

• Provide hands-on technical leadership in the development team
• Drive the implementation of development activities including owning technical design and project execution for the team to meet business goals 
• Collaborate with stakeholders across the business to understand their requirements, negotiate phased release plans and define user story acceptance criteria that meet evolving customer needs 
• Design and develop our cloud-enabled products, working on all parts of the code stack as we utilize modern frameworks and technologies 
• Mentor Software Engineers to allow for knowledge development through advice, coaching and training opportunities 
• Advocate and evangelize modern agile methodologies and best practices 
• Take a lead role in translating requirements to sprint stories and executing on them 
• Build quick prototypes to refine concepts, then turn them into real production-quality features
• Build and maintain reliable, high-quality integrations between G-P's platform and third-party HRIS systems (ADP, Workday, etc.).
• Design and develop new services leveraging a serverless, event-driven microservices architecture (AWS SAM/Lambda, EventBridge, SNS).
• Own and enhance components of our public API platform, focusing on robust REST API design, OAuth implementation, and management of inbound and outbound webhooks.
• Translate high-level product requirements and business needs into clearly defined, pragmatic workstreams, design specifications, and sprint stories.
• Collaborate closely with Product and User-Experience teams to understand requirements.
• Contribute to the evolution of the SDLC and the tech stack 

What we are looking for:

Minimum Requirements: 

• Communication and Initiative: Exceptional communication skills (written and oral) and proven ability to show initiative and thrive in a multi-region remote-first environment.
• Adaptability: A pragmatic approach to problem-solving, with the ability to pivot and adapt to changing requirements (this is prioritized above technical expertise).
• Serverless Expertise: Strong command of serverless architectures, specifically using AWS SAM/Lambda.
• NoSQL Database Proficiency: Deep, practical experience designing and working with NoSQL databases, specifically DynamoDB (we run DynamoDB exclusively, no relational DBs).
• Architecture & Design: Proven experience designing, building, and maintaining microservices and bounded contexts, including applying anti-corruption layers.
• API & Messaging: Demonstrated ability in REST API design and implementing event-driven patterns using technologies like AWS EventBridge and SNS, and experience with OAuth and webhooks (inbound and outbound).
• Tooling: Experience with CI/CD practices using GitHub Actions.
• Experience developing & integrating full-stack web applications using modern frameworks (e.g., Typescript, React, Node.js, APIs).

Preferred Qualifications: 

• Experience in a product engineering space, translating high-level requirements into technical plans and workstreams is highly desirable.
• Experience working on third-party integrations with major HRIS systems (Workday, SAP, ADP).
• Familiarity with modern AI tools, e.g., Cursor.
• Experience in a startup or high-growth environment is desirable.

About the Role

As a Software Engineer 2 on the Data Platform team, you are a key contributor to the architectural backbone of our AI-native platform. You don’t just build one-off pipelines; you help engineer the reliable frameworks and robust data engines that power every product feature and AI workflow across the company.

Working closely with Senior Engineers, you will develop the systems that ingest, process, and serve data from hundreds of internal services and massive event streams. You will ensure our Databricks Lakehouse remains a high-performance, automated, and trusted foundation for our global ecosystem.

What You Will Do

Build & Enhance Data Platform Systems

• Design and develop core components of the data platform, including high-volume event ingestion pipelines and real-time processing workflows using Apache Spark.
• Develop reusable data access layers and "framework-based" ETL/ELT processes that transform structured business data and event streams into trusted Lakehouse assets.
• Contribute to the development of internal APIs and backend services that enable other engineering teams to interact with the data platform.

Engineer Reliable Data Flows

• Build robust, fault-tolerant pipelines with a focus on data correctness, consistency, and availability.
• Implement schema enforcement and validation gates to maintain strict data governance across systems, preventing "data swamp" scenarios.
• Optimize code and query performance to ensure workloads are both fast and cost-efficient.

Drive Observability & Quality

• Build and own the observability framework (logging, metrics, and alerting) to monitor pipeline health, data freshness SLAs, and system uptime.
• Proactively identify and resolve bottlenecks in production; participate in root-cause analysis and incident response.
• Apply rigorous automated testing (unit, integration, and regression) to all data code to ensure long-term maintainability.

Collaborative Platform Engineering

• Participate in design discussions and code reviews, bringing a software engineering lens to data problems.
• Follow governance and PII handling standards in day-to-day development, ensuring safe logging and access-aware implementations.

What We Are Looking For

• Experience: 3+ years of experience in software engineering, with a track record of building production-grade backend or data systems.
• Databricks/Spark Mastery: Strong hands-on experience with Apache Spark and the Databricks/Delta Lake ecosystem is essential.
• Coding Fundamentals: Expert-level Python and SQL skills, with a deep understanding of software design principles, debugging, and distributed computing concepts.
• Automation Mindset: Experience with CI/CD practices and a working knowledge of Terraform (or similar IaC) to help automate the platform’s lifecycle.
• Reliability Focus: A background in building monitored, observable systems where data quality and validation are treated as first-class citizens.

🌟 What Makes Us Different:

AI-Infused SDLC: We operate in an AI-accelerated environment. We encourage our engineers to leverage AI-first mindset throughout the SDLC from planning to AI-assisted development tools (e.g., GitHub Copilot, Cursor) to increase velocity, automate unit test generation, and focus on high-level architectural challenges rather than boilerplate code.

About the Role

As a Senior Data Engineer, you will be the architectural backbone of the AI-native Data Platform. You won't just build pipelines; you will design the self-service frameworks and high-performance engines that power every product and AI workflow across the company.

You will bridge the gap between strategic leadership and technical execution, ensuring that our Databricks Lakehouse scales efficiently to handle hundreds of services while maintaining world-class data reliability and cost-efficiency.

What You Will Do

Architect the Data Platform

• Lead the design and implementation of internal SDKs and self-service frameworks that enable distributed engineering teams to ingest and transform data autonomously.
• Shift from "pipeline building" to "platform engineering," creating reusable patterns for batch and real-time event processing.

Own Platform Performance

• Take full ownership of the cost-effectiveness of the Databricks ecosystem. You will tune Spark execution plans, optimize shuffle partitions, and implement auto-scaling strategies to manage DBU consumption.
• Ensure the platform remains performant as volume grows, managing the trade-offs between latency, throughput, and cloud spend.

Drive Data Contracts & Governance

• Implement Schema-on-Write validation and Data Contracts to ensure data from hundreds of internal services meets strict quality standards before hitting the Bronze layer.
• Partner with the Data Architect & Data Stewards to enforce data privacy (PII), security standards, and metadata lineage across the global ecosystem.

Lead an AI-Infused SDLC

• Champion the use of AI-assisted development tools (e.g., GitHub Copilot, Cursor) to accelerate the engineering lifecycle and improve code quality.
• Mentor engineers on distributed computing best practices, conducting deep-dive code reviews that focus on scalability and maintainability.

What We Are Looking For

• Scale Specialist: 5+ years of experience building and operating production-grade data systems at massive scale.
• Databricks Expert: Deep, hands-on mastery of the Databricks/Spark ecosystem (Delta Lake, DLT, Spark UI debugging, and performance tuning).
• Streaming Veteran: Proven track record of building Real-time/Streaming architectures (Spark Structured Streaming, Kafka, or Kinesis) as a core production requirement.
• Optimisation Mindset: Experience managing and optimizing cloud costs in a high-growth environment.
• Platform Thinker: Experience building APIs, tools, or frameworks used by other internal engineering teams.

About Yugabyte

At Yugabyte, we are on a mission to become the default transactional database for enterprises building cloud-native applications. Our flagship product, YugabyteDB, is a PostgreSQL-compatible distributed database purpose-built for cloud-native workloads. It is resilient, scalable, and flexible—capable of running across any cloud or on-premises infrastructure. With familiar APIs and developer-friendly tools, YugabyteDB empowers developers to be instantly productive.

The transactional database market is projected to reach $64B by 2025, and YugabyteDB’s cloud-native design, horizontal scalability, and geo-distribution capabilities position us perfectly to meet this demand. Many of the world’s leading enterprises are migrating from legacy RDBMSs (Oracle, SQL Server, DB2) to YugabyteDB to power their mission-critical applications.

Join the Database Revolution at Yugabyte!

Role Overview

We are looking for a seasoned DevOps Engineer who is passionate about building scalable infrastructure while maintaining a relentless focus on cloud unit economics. You will lead our FinOps initiatives, ensuring our cloud footprint (AWS/GCP/Azure) is high-performing, secure, and cost-efficient.

Key Responsibilities

• Infrastructure Ownership: Lead the design and management of cloud infrastructure using IaC (Terraform/Pulumi), ensuring cost-efficiency is baked into the architecture from day one.
• FinOps Leadership: Establish and drive cloud cost-optimization strategies, including rightsization, lifecycle management, and committed use discounts (RIs/Savings Plans).
• Cost Visibility & Reporting: Build automated dashboards (using tools like CloudHealth, Kubecost, or native Quicksight/Looker) to provide granular visibility into spend by department, project, or microservice.
• CI/CD Optimization: Maintain and evolve CI/CD pipelines (GitLab CI, Jenkins, or GitHub Actions) with a focus on reducing "build waste" and optimizing ephemeral environment costs.
• Anomaly Detection: Implement automated alerting for cost spikes and unexpected resource utilization to prevent "cloud bill shock."
• Collaboration: Work closely with Finance and Engineering leadership to set cloud budgets, track KPIs (like cost per transaction), and advocate for a "cost-conscious" engineering culture.
• Observability: Manage full-stack monitoring (Prometheus, Grafana, ELK) to correlate performance metrics with cost data.

Qualifications

• Experience: 5+ years of professional experience in DevOps, SRE, or Cloud Engineering.
• Cloud Expertise: Deep hands-on experience with AWS , GCP, or Azure. Professional-level certifications are a plus.
• FinOps Proficiency: Proven track record of reducing cloud spend without compromising performance. Familiarity with the FinOps Framework (Inform, Optimize, Operate).
• Automation: Advanced scripting skills in Python or Go for automating cost-saving tasks (e.g., auto-stopping dev environments, identifying orphaned volumes).
• Containerization: Strong experience with Kubernetes (EKS/GKE) and knowledge of how to optimize k8s resource requests/limits.
• Analytical Mindset: Ability to translate complex cloud billing data into actionable business insights.
• Communication: Strong ability to influence engineering teams to adopt cost-saving best practices.

Equal Employment Opportunity Statement

Yugabyte is an equal opportunity employer committed to building a diverse and inclusive workforce. Employment decisions are made without regard to race, color, religion, national origin, gender, age, sexual orientation, disability, gender identity or expression, veteran status, or any other protected characteristic under applicable laws.

About Yugabyte

At Yugabyte, we are on a mission to become the default transactional database for enterprises building cloud-native applications. Our flagship product, YugabyteDB, is a PostgreSQL-compatible distributed database purpose-built for cloud-native workloads. It is resilient, scalable, and flexible—capable of running across any cloud or on-premises infrastructure. With familiar APIs and developer-friendly tools, YugabyteDB empowers developers to be instantly productive.

The transactional database market is projected to reach $64B by 2025, and YugabyteDB’s cloud-native design, horizontal scalability, and geo-distribution capabilities position us perfectly to meet this demand. Many of the world’s leading enterprises are migrating from legacy RDBMSs (Oracle, SQL Server, DB2) to YugabyteDB to power their mission-critical applications.

Join the Database Revolution at Yugabyte!

About the Team – YugabyteDB Anywhere (YBA)

YugabyteDB Anywhere (YBA) is our on-premises database management platform, enabling customers to deploy, manage, and monitor YugabyteDB clusters in their own infrastructure or private cloud environments. YBA supports Kubernetes and VM-based deployments across enterprise-grade, secure, and highly customizable environments.

The SDET team plays a critical role in ensuring robustness, scalability, security, and performance of the YBA platform, focusing on deployment flexibility and enterprise-grade integrations.

Role Overview

As an SDET (Software Development Engineer in Test) for the YBA team, you will be responsible for building, automating, and maintaining tests to validate the YBA platform in real-world, hybrid infrastructure environments. You will:

• Design and implement comprehensive test plans.

• Develop automation frameworks for API, UI, and backend testing.

• Simulate production-like conditions to ensure platform reliability and scalability.

This role demands hands-on experience with distributed systems testing, strong collaboration with cross-functional teams, and a keen focus on enterprise-grade quality standards.

Key Responsibilities

• Design, implement, and execute test plans and test cases for YBA, covering:

  • Cluster lifecycle management

  • Security and networking

  • Platform and enterprise integrations

• Develop and maintain automation frameworks (API, UI, system-level).

• Conduct performance and scalability testing on VM-based and Kubernetes deployments.

• Collaborate with developers, product managers, and QA teams to ensure high-quality releases.

• Debug complex environments, reproduce customer-reported issues, and ensure comprehensive test coverage.

• Continuously improve testing tools, frameworks, and infrastructure.

• Own quality gates within Agile development workflows.

• Ensure all releases meet enterprise-grade reliability standards across a wide matrix of supported platforms.

Requirements

• 8 to 15 years of experience in automation testing, preferably in database, infrastructure, or enterprise software.

• Strong programming skills in Python or Java.

• Experience with test automation frameworks and validation of distributed systems.

• Hands-on testing experience in hybrid infrastructure environments (VMs, Kubernetes, air-gapped).

• Familiarity with:

  • REST APIs

  • PostgreSQL or other relational databases

  • Cloud-native technologies

• Experience with Kubernetes, Helm, and containerized deployments.

• Exposure to performance benchmarking tools and methodologies.

• Strong debugging and problem-solving skills in complex environments.

• Excellent communication skills and ability to work in distributed teams.

• Bachelor’s degree in Computer Science or related technical field.

Nice to Have

• Experience validating enterprise security (LDAP, TLS, RBAC).

• Familiarity with CI/CD pipelines (Jenkins, GitHub Actions, etc.) and test integration.

• Understanding of deployment tools and hybrid cloud/on-prem operational models.

• Experience with Agile and continuous testing practices.

• Prior exposure to enterprise support or debugging in production-like environments.

Equal Employment Opportunity Statement

Yugabyte is an equal opportunity employer committed to building a diverse and inclusive workforce. Employment decisions are made without regard to race, color, religion, national origin, gender, age, sexual orientation, disability, gender identity or expression, veteran status, or any other protected characteristic under applicable laws.

#LI-Hybrid

This is a hybrid role, requiring 2 days per week in our Bangalore office

Reporting directly to the Director of Engineering, the Senior Software Engineer will guide the design and implementation of software solutions for ChannelOnline (COL). Our teams work across the front-end (Angular, jQuery, JSP), backend (Java), Data (Elastic, MySQL), DevOps, and QA. We need a seasoned engineer who can shape the long-term design of our system. This person will guide our teams in architecting product features in a way that moves us towards that vision. We have a team-oriented culture, value collaboration, self-direction, and continuous improvement. We learn from our experiences to always improve, and we have fun and celebrate our successes.

HOW WE’LL BE WINNING TOGETHER DAY TO DAY

• Establish and champion the high-level, long-term architectural strategy for COL
• Ensure software architecture aligns with the established technical strategy by establishing an Architecture Review Committee
• Advocate regulatory compliance, security policies, and processes in adherence to industry standards and Syndigo guidelines
• Drive continuous upgrades and enhancements of the various frameworks and tools used by the applications and the team
• Assess, identify, and mitigate common issues in the operations of the software suite preemptively
• Develop the engineering team's capability in architectural design and implementation through mentorship and enablement
• Lead the research, evaluation, and adoption of new technologies to advance and upgrade our solutions
• Partner with product and business leadership to ensure the technical strategy effectively addresses customer requirements and business goals
• Drive enhancements in engineering-wide practices, including CI/CD, testing, monitoring, security, and developer experience tooling

WE SHOULD TALK IF THIS SOUNDS LIKE YOU

• 4+ years of software development experience
• 1+ years of full-stack application development using object-oriented programming (Java) and modern frameworks
• 2+ years of experience designing and implementing solutions with Azure
• 1+ years of experience developing APIs for front-end applications
• 2+ years of experience with relational databases (MySQL) and large data sets
• 1+ years of experience leveraging and maintaining CI/CD tooling (GitHub Actions)
• 1+ years of experience with Perl or other scripting languages (preferred but not required)
• Experience leveraging automated database DDL (Liquibase, Flyway) (preferred but not required)
• Experience with object data stores (Azure Blob Storage) (preferred but not required)
• Experience building containerized applications (Docker) and deploying them to orchestration (Kubernetes) (preferred but not required)
• BS degree in Computer Science, a similar technical field, or equivalent practical experience

**This is a hybrid role, requiring 2 days per week in our Bangalore office**

Reporting directly to the Director of Engineering, the Lead Engineer will guide the design and implementation of the software solutions under the User Generated Content (UGC) business division. Our teams work across the front-end (React & Elm), backend (Java/Kotlin), Data (Snowflake, dbt, Tableau), DevOps, and QA. We need a seasoned engineer who can shape the long-term design of our system. This person will guide our teams in architecting product features in a way that moves us towards that vision. We have a team-oriented culture, value collaboration, self-direction, and continuous improvement. We learn from our experiences to always improve, and we have fun and celebrate our successes.

HOW WE’LL BE WINNING TOGETHER DAY TO DAY

• Establish and champion the high-level, long-term architectural strategy for the UGC division’s suite of products
• Ensure software architecture aligns with the established technical strategy by establishing an Architecture Review Committee
• Advocate regulatory compliance, security policies, and processes in adherence to Industry standards and 1World Sync guidelines
• Drive continuous upgrades and enhancements of the various frameworks and tools used by the applications and the team.
• Assess, identify, and mitigate common issues in the operations of the software suite preemptively
• Develop the engineering team's capability in architectural design and implementation through mentorship and enablement
• Lead the research, evaluation, and adoption of new technologies to advance and upgrade our solutions.
• Partner with product and business leadership to ensure the technical strategy effectively addresses customer requirements and business goals
• Drive enhancements in engineering-wide practices, including CI/CD, testing, monitoring, security, and developer experience tooling

WE SHOULD TALK IF THIS SOUNDS LIKE YOU 

• 10+ years of software development experience
• 7+ years of full-stack application development using Object oriented programming(Kotlin, Java) and modern frameworks
• 3+ years of experience designing and implementing solutions with AWS
• 3+ years of experience with event-driven development (SQS, SNS, Kafka, Kinesis, Pub/Sub) and idempotent patterns
• 5+ years of experience developing APIs for front-end applications
• 5+ years of experience with relational databases (PostgreSQL, MySQL) and large data sets
• 3+ years of experience leveraging and maintaining CI/CD tooling (CircleCI, GitHub Actions)
• 3+ years of experience leveraging infrastructure as code using Terraform
• Experience leveraging automated database DDL (Liquibase, Flyway) (preferred but not required)
• Experience with object data stores (AWS S3, Azure Blob Storage, GCP Cloud Storage) and/or document data stores (AWS DynamoDB, MongoDB, NoSQL) (preferred but not required)
• Experience building containerized applications (Docker) and deploying them to orchestration (AWS ECS, Kubernetes, Docker Swarm) (preferred but not required)
• Experience with Data engineering and Analytics (Snowflake, dbt, Tableau) (preferred but not required)
• AWS Solutions Architect Associate Certification (preferred but not required
• BS degree in Computer Science, a similar technical field, or equivalent practical experience

**This is a hybrid role, requiring 2 days per week in our Bangalore office**

We are hiring for a Software Engineer who will work closely with other engineers of varying disciplines (DevOps, QA, Front-End ReactJS, etc.), product teams, as well as other parts of the organization. They craft applications in Java/Kotlin, leveraging AWS, CircleCI, and Terraform. We are always looking to adopt modern technology to solve business challenges. We have a team-oriented culture, value collaboration, self-direction, and continuous improvement. We build and maintain a highly scalable platform that evolves to ever-changing business requirements. We learn from our experiences to always improve, and we have fun and celebrate our successes.

HOW WE’LL BE WINNING TOGETHER DAY TO DAY

• Build features and solutions to collect, moderate, and/or deliver user-generated content to our customers
• Become an expert in multiple solutions and areas of the codebase, while understanding the larger architecture of the entire suite of solutions
• Participate in technical brainstorming and knowledge transfer sessions; provide technical input at both team and department levels
• Collaborate with engineers, product managers, UX designers, operations, and other teams to build a cohesive experience
• Contribute to each step of the product development process, including ideation, design, planning, architecture, development, testing, release, and maintenance
• Participate in and contribute to CI/CD, application monitoring, security, and developer tooling initiatives
• Support additional responsibilities as needed

WE SHOULD TALK IF THIS SOUNDS LIKE YOU

• 5+ years of full-stack application development using Kotlin and Java with AWS
• 3+ years of experience developing APIs for front-end applications
• 5+ years of experience with relational databases (PostgreSQL, MySQL) and large data sets
• 1+ years of experience leveraging and maintaining CI/CD tooling (CircleCI, Drone, GitHub Actions)
• 2+ years of experience leveraging infrastructure as code using Terraform
• 1+ years of experience with event-driven development (SQS, SNS, Kafka, Kinesis, Pub/Sub) and idempotent patterns
• Experience leveraging automated database DDL (Liquibase, Flyway) (preferred but not required)
• Experience with object data stores (AWS S3, Azure Blob Storage, GCP Cloud Storage) and/or document data stores (AWS DynamoDB,
• MongoDB, NoSQL) (preferred but not required)
• Experience building containerized applications (Docker) and deploying them to orchestration platforms (AWS ECS, Kubernetes, Docker Swarm) (preferred but not required)
• Experience with source control tools such as Git (preferred but not required)

**This is a hybrid role, requiring 2 days per week in our Bangalore office**

Senior Software Engineer will work closely with other engineers of varying disciplines (DevOps, QA, Front-End ReactJS, etc), product, as well as other parts of the organization. They craft applications in Java/Kotlin, leveraging AWS, CircleCI, and Terraform. We are always looking to adopt modern technology to solve business challenges. We have a team-oriented culture, value collaboration, self-direction, and continuous improvement. We build and maintain a highly scalable platform that evolves to ever-changing business requirements. We learn from our experiences to always improve, and we have fun and celebrate our successes.

Responsibilities:

• Build out features and solutions to collect, moderate, and/or deliver user-generated content to our customers
• Become an expert on multiple of our solutions and areas of our codebase, while understanding the larger architecture of our entire suite of solutions
• Participate in technical brainstorming and knowledge transfer sessions; provide technical advice at a team level and a department level
• Communicate across teams by collaborating with fellow engineers, product managers, UX designers, operations, and other development teams to build a holistic experience
• Proactively identify pain points and potential issues within our architecture and code base, and proactively tackle tech debt
• Contribute to each step of the product development process, from ideation and design, to planning and architecting, to building out the solution and infrastructure, to testing, to releasing, and maintenance
• Participate, build, and implement department CI/CD, application monitoring, security, and general developer tooling initiatives
• Mentor more junior engineers
• Other duties as assigned

Required Skills/Abilities:

• 8+ years of full-stack application development in our language stack (Kotlin, Java) and with AWS
• 5+ years of experience developing APIs for front-end applications
• 5+ years of strong experience with relational databases (PostgreSQL, MySQL) and large data sets
• 2+ years of experience leveraging and maintaining CI/CD tooling (CircleCI, Drone, GitHub Actions)
• 2+ years of experience leveraging infrastructure as code using Terraform
• 1+ years of experience with event-driven development (SQS, SNS, Kafka, Kinesis, Pub/Sub) and idempotent patterns
• Previous experience leveraging automated database DDL (Liquibase, Flyway)
• Previous experience leveraging automated database DDL (Liquibase, Flyway)
• Previous experience with object data stores (AWS S3, Azure Blob Storage, GCP Cloud Storage) and/or document data stores (AWS DynamoDB, MongoDB, NoSQL)
• Previous experience building containerized applications (Docker) and deploying them to orchestration (AWS ECS, Kubernetes, Docker Swarm)
• Experience with source control tools such as Git

Job responsibilities

Job qualifications

Other things to know

About Thoughtworks

Your role

Dialpad’s QA team ensures the quality and reliability of our AI-first platform across web, mobile, and backend systems.

As a QA Automation Engineer, you will be a hands-on contributor responsible for automation execution and quality ownership of specific features/modules, leveraging modern tools and AI-assisted development to improve speed and coverage.

This position requires a hybrid work arrangement, with three days in the office. The role reports to the Manager of Quality Assurance, who is located in Bangalore.

What you’ll do

• Build, execute, and maintain UI and API automated tests (Playwright/Selenium, Java/Python)
• Perform end-to-end and regression testing, ensuring release readiness
• Own QA for assigned modules, including:
• Test planning and design
• Automation coverage and execution
• Regression sign-off
• Achieve ~70–80% automation coverage with stable, reliable test suites
• Analyze failures, identify defects, and provide clear root cause insights
• Use AI tools (Copilot, Cursor, Gemini, etc.) to generate tests, debug, and improve coverage
• Validate AI/LLM-driven features (prompt/response accuracy)
• Collaborate with engineering on debugging and fix verification
• Contribute to CI/CD pipelines (GitHub Actions)

Skills you’ll bring

• 5–8 years in QA / Test Automation
• Strong experience in Java or Python + Playwright/Selenium
• Solid understanding of UI, API, functional, and regression testing
• Experience with REST APIs, Postman, and CI/CD pipelines
• Exposure to AI-assisted coding tools (or willingness to learn)
• Strong debugging, analytical, and communication skill

Nice to Have

• Experience with VoIP, contact center, or communication platforms
• Exposure to performance or reliability testing

Tech Stack

• Languages: Java, Python
• Automation: Selenium, Playwright, TestNG, BDD
• API Testing: REST Assured, Postman
• CI/CD: GitHub Actions (GHA)
• Dev Tools: Git, GitHub, Jira

DevSecOps Lead

Job Summary:

We are seeking a highly skilled and experienced DevSecOps Architect/Lead to lead the architecture, deployment, and configuration of DevSecOps solutions across hybrid and multi-cloud environments. The ideal candidate will have hands-on expertise in designing and implementing DevSecOps CI/CD solutions for automating end-to-end Delivery pipeline.

Experince Level:  9 to 12 ( Relevant years ) 

Key Responsibilities:

• Architect enterprise-grade DevSecOps solutions inline with industry standards
• Lead the discovery of CI/CD and IaC  and develop the blueprints for target architecture
• Lead the Assessment of the current state DevSecOps maturity and align to industry maturity models
• Must be able to design and architect the DevSecOps ecosystem from scratch
• Develop ways of working for Continuous Integration and Continuous Delivery with automated DevSecOps platforms
• Must have hands-on deep expertise in setting up CI/CD pipelines, IaC for Infrastructure provisioning, Security and Quality integrations in the pipeline with GitHub actions workflows.
• Design and implement end to end CI/CD pipelines with quality and security integration
• Design the CI/CD and IaC infrastructure and create standardized blueprints and reusable components
• Implement SAST, DAST, SCA tools and integrate in the CI/CD pipeline
• Good understanding of Azure Kubernetes and AWS Kubernetes
• Work closely with the customer Application teams and Infrastructure teams
• Implement reusable pipeline and IaC templates for infrastructure provisioning and integrate with the CI/CD pipelines
• Lead the onboarding of applications on the Core DevSecOps platform
• Understanding of GitOps practices using ArgoCD
• Develop Golden paths for Pipeline and IaC
• Create target architecture for enabling DevSecOps for applications and infrastructure
• Work with Observability team for DevSecOps integration with AIOps platform
• Design and build dashboards for end-to-end value stream visibility
• Implement identity, RBAC, and security controls for DevSecOps tools
• Create runbooks and SOP for application onboarding
• Develop wave plans for Enterprise rollout of the DevSecOps platform and practices.
• Good to have experience setting up DevSecOps Community of Practice and Centre of Excellence.

Required Skills & Qualifications:

• Proven hands-on experience with multiple CI/CD platforms like GitHub actions (primary), Azure DevSecOps, GitLab environments.
• Proven experience with GitHub Enterprise Server, JFrog Artifactory/Xray, Black Duck, and Open Source Libraries.
• Experience with Developer Toolchains (Ansible, Docker, Maven, Node, Python, Gulp, React, NuGet, Java/JDK/JRE)
• Strong knowledge of Azure, AWS, and GCP cloud infrastructure.
• Experience with integration of security (SAST, DAST, SCA) tools like Black Duck, Trivy, Synk, SonarQube, Veracode, Fortify in the pipeline
• Strong in IaC tools like Terraform or infrastructure provisioning (VMs, AKS, containers).
• Experience with application onboarding at scale on the DevSecOps platform
• Familiarity configuration management tools like Ansible for Infrastructure configurations.
• Familiarity with GitOps tools like ArgoCD
• Strong analytical skills and understanding of DevSecOps practices.
• Excellent communication and documentation skills.
• Experience working with Application teams to develop the target state DevSecOps architecture 

Role Overview:

We are seeking an experienced Cloud Engineer to design, implement, and continuously improve our Business Continuity Planning (BCP) and Disaster Recovery (DR) capabilities across AWS cloud environments.

This is a hands-on technical role requiring deep AWS expertise, strong scripting skills, and a passion for building highly available, fault-tolerant, and resilient cloud architecture by leveraging container orchestration with Kubernetes and infrastructure as code using Terraform. Good understanding of CI/CD pipelines to enable rapid, reliable deployments and minimize downtime. Adept at implementing DR strategies including multi-region failover, backup and restore automation, and recovery testing aligned with industry BCP/DR standards. You will collaborate closely with security, infrastructure, and application teams to ensure our systems can withstand and rapidly recover from any disruption.

Reports To: Director of Event Response
Level: Senior Individual Contributor

Key Responsibilities:

Cloud Resilience Architecture

• Design and implement multi-region, multi-AZ AWS architectures that meet RTO/RPO targets
• Engineer active-active and active-passive failover patterns using Route 53, Global Accelerator, and CloudFront
• Build automated DR runbooks and playbooks using AWS Systems Manager Automation and Step Functions
• Implement chaos engineering practices using AWS Fault Injection Simulator (FIS) to validate resiliency
• Architect cross-region replication strategies for S3, DynamoDB Global Tables, RDS, and Aurora Global
• Review containerized workloads using Kubernetes, ensuring resilience through self-healing, auto-scaling, and multi-cluster or multi-region deployments.

Backup & Recovery Engineering

• Administer AWS Backup across all services (EC2, EBS, RDS, EFS, FSx, DynamoDB, Aurora) with policy-based automation
• Design immutable backup vaults and cross-account/cross-region backup replication pipelines
• Develop and automate data recovery testing procedures, ensuring integrity and meeting defined SLAs
• Implement point-in-time recovery (PITR) for databases and storage; validate via regular restore drills
• Maintain Business Continuity Plans (BCP) and Disaster Recovery (DR) strategies, including tracking RTO (Recovery Time Objective) and RPO (Recovery Point Objective).

Infrastructure as Code & Automation

• Author and maintain Terraform/CloudFormation templates for all BCP/DR infrastructure components
• Automate DR testing pipelines through CI/CD (CodePipeline, CodeBuild, GitHub Actions)
• Write Python/Bash/PowerShell scripts to orchestrate failover, failback, and health-check workflows
• Manage infrastructure state in AWS Control Tower and implement Landing Zone DR patterns

Monitoring, Alerting & Incident Response

• Build CloudWatch dashboards, alarms, and composite alarms for availability and DR-readiness indicators
• Integrate AWS Health, Personal Health Dashboard events into PagerDuty/OpsGenie alerting workflows
• Participate in on-call rotations and lead DR incident response; conduct post-incident reviews (PIRs)
• Develop and maintain runbooks for AWS service degradations, regional outages, and data corruption events

Governance, Compliance & Testing

• Conduct regular  BCP/DR tabletop exercises and full failover simulations to validate recovery procedures and improve organizational readiness, document results and action items.
• Ensure DR controls meet SOC 2, ISO 22301, NIST 800-53, and HIPAA/PCI requirements as applicable
• Maintain current and accurate DR documentation: BIAs, BCPs, DRP runbooks, and recovery evidence
• Collaborate with audit and compliance teams to provide DR evidence and remediation tracking

Required Qualifications:

Experience

• 5+ years in cloud infrastructure, SRE, or IT disaster recovery engineering roles
• 3+ years of hands-on AWS experience in production environments at scale
• Proven delivery of multi-region DR architectures with defined and tested RTO/RPO targets
• Expert-level proficiency with core AWS resilience services (see skills matrix below)
• Strong scripting skills: Python, Bash, or PowerShell for automation and orchestration
• Experience with Infrastructure as Code: Terraform and/or AWS CloudFormation
• Solid understanding of networking fundamentals: VPC, TGW, Direct Connect, VPN, DNS failover
• Excellent written and verbal communication; able to produce executive-level DR reports

Preferred Qualifications

• AWS Certified Solutions Architect – Professional or AWS Certified DevOps Engineer – Professional
• AWS Certified Advanced Networking – Specialty certification
• Experience with AWS Resilience Hub for automated resilience assessments and policy enforcement
• Familiarity with CloudEndure / AWS Elastic Disaster Recovery (DRS) for workload replication
• Knowledge of Kubernetes-based DR (EKS multi-region, Velero backups, ArgoCD GitOps failover)
• Hands-on experience with serverless DR patterns (Lambda, API Gateway, DynamoDB)

About Our Security Team:

You'll be joining a security organization that emphasizes automation, engineering-driven approaches, and systematic problem-solving. Our team operates at the intersection of security operations, detection engineering, incident response, and infrastructure security. We value practical solutions, measurable outcomes, and continuous improvement.

Reporting to the Director of Event Response you'll execute on strategic initiatives to operationalize mature BCP/DR capabilities that protect AlphaSense's mission-critical operations and support our commitment to customer trust. This role sits at the critical intersection of incident response and business continuity, ensuring our ability to respond to and recover from major disruptions.

Role Overview:

We are seeking an experienced Cloud Engineer to design, implement, and continuously improve our Business Continuity Planning (BCP) and Disaster Recovery (DR) capabilities across AWS cloud environments.

This is a hands-on technical role requiring deep AWS expertise, strong scripting skills, and a passion for building highly available, fault-tolerant, and resilient cloud architecture by leveraging container orchestration with Kubernetes and infrastructure as code using Terraform. Good understanding of CI/CD pipelines to enable rapid, reliable deployments and minimize downtime. Adept at implementing DR strategies including multi-region failover, backup and restore automation, and recovery testing aligned with industry BCP/DR standards. You will collaborate closely with security, infrastructure, and application teams to ensure our systems can withstand and rapidly recover from any disruption.

Reports To: Director of Event Response
Level: Senior Individual Contributor

Key Responsibilities:

Cloud Resilience Architecture

• Design and implement multi-region, multi-AZ AWS architectures that meet RTO/RPO targets
• Engineer active-active and active-passive failover patterns using Route 53, Global Accelerator, and CloudFront
• Build automated DR runbooks and playbooks using AWS Systems Manager Automation and Step Functions
• Implement chaos engineering practices using AWS Fault Injection Simulator (FIS) to validate resiliency
• Architect cross-region replication strategies for S3, DynamoDB Global Tables, RDS, and Aurora Global
• Review containerized workloads using Kubernetes, ensuring resilience through self-healing, auto-scaling, and multi-cluster or multi-region deployments.

Backup & Recovery Engineering

• Administer AWS Backup across all services (EC2, EBS, RDS, EFS, FSx, DynamoDB, Aurora) with policy-based automation
• Design immutable backup vaults and cross-account/cross-region backup replication pipelines
• Develop and automate data recovery testing procedures, ensuring integrity and meeting defined SLAs
• Implement point-in-time recovery (PITR) for databases and storage; validate via regular restore drills
• Maintain Business Continuity Plans (BCP) and Disaster Recovery (DR) strategies, including tracking RTO (Recovery Time Objective) and RPO (Recovery Point Objective).

Infrastructure as Code & Automation

• Author and maintain Terraform/CloudFormation templates for all BCP/DR infrastructure components
• Automate DR testing pipelines through CI/CD (CodePipeline, CodeBuild, GitHub Actions)
• Write Python/Bash/PowerShell scripts to orchestrate failover, failback, and health-check workflows
• Manage infrastructure state in AWS Control Tower and implement Landing Zone DR patterns

Monitoring, Alerting & Incident Response

• Build CloudWatch dashboards, alarms, and composite alarms for availability and DR-readiness indicators
• Integrate AWS Health, Personal Health Dashboard events into PagerDuty/OpsGenie alerting workflows
• Participate in on-call rotations and lead DR incident response; conduct post-incident reviews (PIRs)
• Develop and maintain runbooks for AWS service degradations, regional outages, and data corruption events

Governance, Compliance & Testing

• Conduct regular  BCP/DR tabletop exercises and full failover simulations to validate recovery procedures and improve organizational readiness, document results and action items.
• Ensure DR controls meet SOC 2, ISO 22301, NIST 800-53, and HIPAA/PCI requirements as applicable
• Maintain current and accurate DR documentation: BIAs, BCPs, DRP runbooks, and recovery evidence
• Collaborate with audit and compliance teams to provide DR evidence and remediation tracking

Required Qualifications:

Experience

• 5+ years in cloud infrastructure, SRE, or IT disaster recovery engineering roles
• 3+ years of hands-on AWS experience in production environments at scale
• Proven delivery of multi-region DR architectures with defined and tested RTO/RPO targets
• Expert-level proficiency with core AWS resilience services (see skills matrix below)
• Strong scripting skills: Python, Bash, or PowerShell for automation and orchestration
• Experience with Infrastructure as Code: Terraform and/or AWS CloudFormation
• Solid understanding of networking fundamentals: VPC, TGW, Direct Connect, VPN, DNS failover
• Excellent written and verbal communication; able to produce executive-level DR reports

Preferred Qualifications

• AWS Certified Solutions Architect – Professional or AWS Certified DevOps Engineer – Professional
• AWS Certified Advanced Networking – Specialty certification
• Experience with AWS Resilience Hub for automated resilience assessments and policy enforcement
• Familiarity with CloudEndure / AWS Elastic Disaster Recovery (DRS) for workload replication
• Knowledge of Kubernetes-based DR (EKS multi-region, Velero backups, ArgoCD GitOps failover)
• Hands-on experience with serverless DR patterns (Lambda, API Gateway, DynamoDB)

About Our Security Team:

You'll be joining a security organization that emphasizes automation, engineering-driven approaches, and systematic problem-solving. Our team operates at the intersection of security operations, detection engineering, incident response, and infrastructure security. We value practical solutions, measurable outcomes, and continuous improvement.

Reporting to the Director of Event Response you'll execute on strategic initiatives to operationalize mature BCP/DR capabilities that protect AlphaSense's mission-critical operations and support our commitment to customer trust. This role sits at the critical intersection of incident response and business continuity, ensuring our ability to respond to and recover from major disruptions.

Role Summary

We are seeking a Lead Engineer, AI Systems to serve as the technical anchor across our AI-augmented engineering organisation. This role bridges our Senior AI Coding Engineers, the AI/ML Developer (SLM Specialist), and the Agentic Systems intern cohort. You will set technical direction, own cross-cutting architectural decisions, and champion the responsible, high-impact adoption of AI-assisted development practices across the entire engineering function.

You will remain hands-on with code while simultaneously shaping how the wider team builds, evaluates, and ships AI-powered products.

Key Responsibilities

1  Technical Vision & Architecture

• Define and own the end-to-end technical architecture for AI Systems — spanning product feature surfaces, model inference APIs, and agentic toolchains.
• Drive Architecture Decision Records (ADRs), system design reviews, and RFC processes across squads.
• Establish standards for integrating SLM/LLM model endpoints into product surfaces built by the Senior Engineering team.
• Evaluate emerging AI infrastructure patterns (RAG, agentic orchestration, vector stores, model serving) and guide adoption decisions.
• Own the technical roadmap for AI tooling, developer productivity, and model integration layers.

2  Cross-Squad Technical Leadership

• Act as the primary technical liaison between the AI/ML Developer (model side) and Senior Engineers (product side), ensuring smooth API contracts, evaluation loops, and deployment handoffs.
• Provide technical direction to Agentic Systems interns, reviewing designs, code, and agentic pipeline implementations.
• Unblock senior engineers on hard architectural or integration challenges that span squad boundaries.
• Run cross-team design reviews, architecture syncs, and engineering guild sessions.

3  AI-Augmented Engineering Excellence

• Define and maintain the organisation’s standards for AI-assisted development — covering context engineering, AI code review protocols, context management, and tool evaluation criteria.
• Maintain and evolve the internal AI tooling playbook (Cursor IDE, Claude Code, Codex CLI, and emerging tools).
• Evaluate new AI coding tools, agentic frameworks (LangChain, LlamaIndex, CrewAI, AutoGen), and developer-productivity platforms; produce adoption recommendations with measured trade-offs.
• Conduct structured audits of AI-generated code across squads for correctness, security, and maintainability.

4  Hands-On Engineering

• Remain an active contributor: own critical-path features, prototype architectural spikes, and build shared infrastructure components used across squads.
• Personally drive resolution of the most complex production incidents and root-cause analyses.
• Review and merge high-impact PRs; maintain the highest code review quality bar on the team.
• Own observability and reliability for AI inference and MLOps integration layers in production.

5  Mentoring & Talent Development

• Mentor Senior Engineers, the AI/ML Developer, and interns through technical coaching, design feedback, and stretch assignments.
• Lead hiring panels and technical interviews; help define and uphold the engineering hiring bar.
• Contribute to onboarding frameworks that embed AI-first practices from day one.
• Model a culture of rigorous experimentation, psychological safety, and continuous improvement.

6  Stakeholder & Product Collaboration

• Partner with the Director of Engineering and Product leadership to translate product strategy into a phased technical roadmap.
• Present architectural proposals and trade-off analyses to engineering leadership and executive stakeholders as required.
• Coordinate with DevOps/Platform teams on GPU/TPU compute provisioning, CI/CD for model pipelines, and cloud cost optimisation.

Required Qualifications

1  Education

• Bachelor’s or Master’s degree in Computer Science, or a related field.
• Candidates without a degree but with a compelling portfolio demonstrating scope and impact at staff/lead level will be considered.

2  Experience

• 6 – 8 years of professional software engineering experience in product-focused environments.
• Minimum 2 years in a formal or de-facto technical lead / staff engineer capacity across multiple squads or systems.
• Minimum 8-12 months of active, hands-on experience with AI coding tools in a professional engineering setting.
• Proven track record of shipping production systems with measurable business impact at scale.
• Demonstrated experience collaborating closely with ML/AI model teams on integration, deployment, and evaluation.

3  Technical Skills — Core Engineering

• Languages: Expert proficiency in at least two of — Python, TypeScript/JavaScript, Go.
• Architecture: Microservices, event-driven systems, API design (REST, GraphQL, gRPC), distributed systems fundamentals.
• Databases: SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis); vector databases (FAISS, Pinecone, Weaviate).
• Cloud: AWS, GCP, or Azure — compute, storage, serverless, managed ML services (SageMaker, Vertex AI).
• DevOps: Docker, Kubernetes, CI/CD (GitHub Actions, Jenkins); IaC (Terraform/Pulumi); observability stacks.
• Testing: TDD/BDD; unit, integration, and e2e frameworks; model evaluation pipelines.

4  AI / ML Integration Skills (Mandatory)

• Demonstrated proficiency with AI coding assistants (Cursor IDE, Claude Code, Codex CLI) in daily professional workflows.
• Experience designing and consuming LLM/SLM inference APIs; understanding of model serving, latency, and cost trade-offs.
• Hands-on familiarity with RAG architectures, vector stores, and retrieval pipelines.
• Ability to define and enforce AI code quality standards across an engineering team.
• Understanding of LLM limitations: hallucinations, context window constraints, prompt injection risks, and licensing considerations.

5  Technical Skills — Nice to Have

• Experience with SLM/LLM training or fine-tuning pipelines (SFT, RLHF, LoRA/QLoRA).
• Familiarity with agentic frameworks (LangChain, LlamaIndex, AutoGen, CrewAI) and multi-step reasoning pipelines.
• Contributions to open-source ML or developer tooling projects.
• Knowledge of OWASP Top 10, secure coding, and AI-specific security risks (prompt injection, model exfiltration).
• Prior experience in a high-growth startup or scale-up environment with rapid iteration cycles.

Behavioural Competencies

• AI-First Mindset: Defaults to AI tools to accelerate work while maintaining rigorous quality standards; actively pushes the team’s AI capability forward.
• Systems Thinking: Sees the full picture — how model outputs, product surfaces, and infrastructure interdepend; anticipates second-order effects of architectural choices.
• Ownership: Takes end-to-end responsibility from design through production; doesn’t hand off problems, solves them.
• Influence Without Authority: Earns trust through technical credibility; drives alignment through persuasion, data, and well-reasoned proposals.
• Communication: Writes clear design docs, ADRs, and post-mortems; articulates complex trade-offs for engineering peers and non-technical stakeholders.
• Mentorship: Actively invests in the growth of engineers at all levels; gives direct, constructive feedback.
• Pragmatism: Balances the ideal with the shipped; knows when to iterate vs. refactor vs. rewrite.
• Curiosity: Continuously explores emerging research, tools, and patterns — and brings those learnings back to the team.