About Us:

Sauce Labs is the world's largest full-lifecycle, test automation platform, and the company behind Selenium. Trusted by 80% of the world's top ten largest financial institutions and over 300,000 enterprise users, Sauce Labs provides the only AI platform capable of turning business intent into autonomous testing and quality assurance. With a proprietary dataset of 8.7 billion test runs, Sauce Labs empowers the Fortune 2000 to bridge the gap between AI-driven code generation and enterprise-grade software quality. Learn more at saucelabs.com.

The Role:

This pivotal role drives the design and implementation of high-value features and the foundational Error-Reporting/Backtrace platform. This is a strategic product in the Sauce Labs portfolio, and you will be instrumental in enabling customers to analyze multi-dimensional data and debug at scale to resolve their business-critical production issues. Your solutioning and development expertise in native, low-level systems (Rust, C/C++) will accelerate the evolution of this intricate product with a highly performant custom columnar database. Core Linux backend skills and a DevOps perspective are essential to design and evolve a scalable, maintainable platform. You will collaborate remotely with a global engineering team on new capabilities, enhancing backend performance, reliability, data analysis, and user experience. If you have compelling code to share, we would love to see it—we hire for demonstrable talent first!

Responsibilities:

• Extend core subsystems including work scheduling, networking (HTTP), storage, indexing, and data analysis. Performance-sensitive components are primarily in Rust and C/C++.
• Enhance platform observability by integrating bespoke and off-the-shelf OpenTelemetry capabilities, encompassing metrics, tracing, and profiling, and evolving Grafana dashboards to provide deeper insights.
• Collaborate with business and management functions to develop and execute the product roadmap.
• Provide technical leadership, advising on investments, leading solution design and development, and mentoring junior staff.
• Participate in on-call rotation.
• Contribute to improvements in the software development lifecycle for increased velocity and quality.

Required Skills:

• 7+ years of development experience in C/C++ and Rust.
• Demonstrable skill in developing specialized data structures, algorithms, and supporting infrastructure for real-world workloads.
• Solid experience with cloud platforms (GCP, AWS).
• Proficiency with live and post-mortem debugging tools.
• Expertise in the development of AI-driven features, as well as agents and skills integrated with internal workflows.
• Strong experience managing/scripting CI and scaling infrastructure using DevOps tools like Jenkins, Docker, Kubernetes, and Salt.
• You are autonomous, take initiative, and act on it.
• You stay current with the field, having read at least 2 relevant computer systems papers in the last year.
• You have a proven track record of collaboration and pragmatism, leveraging the strengths of others to build great products.

This Saucer can be found globally.  We believe in the power of in-person collaboration to build strong relationships and drive innovation. To support this, our office models are tailored by region:

• Poland, Berlin, and the US: We operate on a hybrid basis, offering flexibility alongside collaboration with in-office days as required.
• India: We operate in-office 5 days a week to maximize team synergy and real-time collaboration and mentorship.

Regardless of location, Saucers living near an office are expected to be present and engaged with their local teams.

Please note our privacy terms when applying for a job at Sauce Labs.

Sauce Labs is proud to be an Equal Opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender identity/expression/status, sexual orientation, age, marital status, veteran status or disability status.

Security responsibilities at Sauce

At Sauce, we will commit to supporting the health and safety of employees and properties, partnering with internal stakeholders to learn and act on ever-evolving security protocols and procedures. You’ll be expected to fully comply with all policies and procedures related to security at the department and org wide level and exercise a ‘security first’ approach to how we design, build & run our products and services.

MongoDB, as a database software and consistently voted the #1 most wanted database preferred by developers, is continuing to attract the most demanding, innovative companies and development teams in enterprise software.

To meet this demand, we are looking for passionate DevOps professionals to join our growing Industry Solutions Team (IST), a remote/flexible, globally-dispersed team. As part of our strategic investment in demo infrastructure capabilities, this role is critical to maintaining, scaling, and optimizing our demo portfolio, enabling our Industry Solutions Consultants to focus on customer engagement, content creation, and industry expertise while ensuring world-class infrastructure reliability and security. Our objective is to align MongoDB as an industry solution and ensure we understand enterprise clients and their needs to modernize software legacies, transition to modernized solutions, and guide them through continuous data-driven modernization across various industries.

MongoDB Industry Solutions Consultants communicate the direction of MongoDB's platform to customers and industry partner communities through webinars, client presentations, blog content, video content, live/virtual events, and demos. Your role will directly enable these activities by ensuring robust, reliable infrastructure that supports seamless demonstrations and proof-of-concepts across various industry verticals, helping to showcase MongoDB's capabilities to enterprise clients worldwide.

You'll work with cutting-edge technologies including Kubernetes, multi-cloud environments (AWS/GCP), and MongoDB's complete product suite, while building the infrastructure foundation that powers MongoDB's industry solution demonstrations globally. You'll collaborate closely with the global IST technical team and product teams, playing a key role in supporting deals and driving the business forward through reliable technical infrastructure.

What You Will Do at MongoDB

Infrastructure Management & Optimization

• Design and implement infrastructure-as-code templates for consistent demo deployments across 65+ demonstrations
• Optimize and maintain our KANOPY Kubernetes platform with production-grade configurations
• Manage MongoDB clusters with automated scaling, standardized security configurations, and centralized monitoring
• Maintain mixed AWS/GCP deployment environments with focus on performance and cost optimization

Security & Compliance

• Implement comprehensive security scanning and automated vulnerability remediation
• Maintain Wiz vulnerability management and security compliance across all demo environments
• Establish and enforce enterprise-grade security standards and practices
• Monitor and respond to security incidents with systematic surveillance and optimization

Automation & DevOps Excellence

• Build and maintain CI/CD automation pipelines for seamless demo deployments
• Implement autonomous end-to-end testing frameworks across the entire demo portfolio
• Deploy centralized monitoring, logging, and alerting systems for proactive issue resolution
• Create self-service developer tools to enable rapid demo development and deployment

Operational Support

• Provide dedicated incident response and system monitoring to prevent disruptions to Industry Solutions Demos
• Establish unified data model frameworks for consistent demo experiences
• Support 20-25 new demo builds annually, including complex microservices architectures
• Collaborate with wider technical team on infrastructure requirements and optimization opportunities

As an Ideal Candidate, You Will Have

Required Experience

• 5+ years of DevOps/Infrastructure engineering experience in enterprise environments
• Strong expertise in Kubernetes orchestration and container management
• Hands-on experience with Infrastructure-as-Code tools (Terraform, CloudFormation, or similar)
• Proficiency in CI/CD pipeline design and implementation (Jenkins, GitLab CI, GitHub Actions, etc.)
• Experience with multi-cloud environments (AWS, Azure, GCP) and cloud-native architectures
• Strong background in monitoring and observability tools (Prometheus, Grafana, ELK stack, etc.)

Technical Skills

• Database administration experience, preferably with MongoDB or other NoSQL databases
• Security scanning and vulnerability management experience
• Scripting and automation skills (Python, Bash, Go, or similar)
• Experience with microservices architecture and service mesh technologies
• Understanding of networking, security principles, and compliance frameworks

Soft Skills

• Excellent problem-solving and troubleshooting abilities
• Strong communication skills for cross-team collaboration
• Self-motivated with ability to work independently in a remote-first environment
• Passion for learning new technologies and staying current with DevOps trends
• Experience mentoring junior team members and sharing best practices

As an Ideal Candidate, You May Also Have

• Master's degree in Computer Science, Engineering, or equivalent work experience
• MongoDB certification or experience with MongoDB Atlas
• Experience in SaaS or enterprise software environments
• Experience with service mesh technologies (Istio, Linkerd)
• Knowledge of data pipeline and ETL processes

What You Will Learn

Technical Growth

• Deep expertise in MongoDB's complete product suite and ecosystem
• Advanced Kubernetes and cloud-native architecture patterns
• Enterprise-scale infrastructure design and security best practices
• Modern DevOps methodologies and automation frameworks

Business Context

• How infrastructure enables customer success and business growth
• Industry-specific use cases and solution architectures across various verticals

Location & Work Arrangement

This role is based in India with flexible remote work options. The Industry SolutionsTeam operates globally with collaboration across time zones. Occasional travel may be required for team events, training, or MongoDB conferences.

Why Join Our Team

• Impact: Build the infrastructure foundation that powers MongoDB's industry solution strategy
• Growth: Join a global team with significant investment and leadership support
• Innovation: Work with cutting-edge technologies in a fast-paced, evolving environment
• Culture: Be part of MongoDB's collaborative, inclusive, and learning-focused culture

This role is part of MongoDB's strategic investment in demo infrastructure capabilities, offering the opportunity to build something new while working with industry-leading technologies and a world-class team.

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 1273401871

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.

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.

Role Summary

We are seeking an experienced and hands-on leader to manage our DevOps Engineering team. As a Manager, you will be responsible for the day-to-day success, operational excellence, and career growth of the engineers who maintain our critical CI/CD and Infrastructure as Code (IaC) toolchain.

Following established operational policies, you will lead your team in administering our core DevOps platforms, including Jenkins, Artifactory, HashiCorp Vault, and Terraform Enterprise on AWS. This role is ideal for a customer-centric leader who excels at meeting schedules, guiding technical experts, and ensuring the stability and performance of essential engineering services.

Key Responsibilities

• Team Leadership & Development: Manage the daily activities and performance of the DevOps Engineering team. Work with employees to set clear contribution goals, provide regular feedback, and create an environment that fosters development and career growth.
• Operational Excellence: Oversee the administration, maintenance, and availability of the DevOps toolchain. Develop and manage schedules and performance requirements to ensure platform uptime and reliability.
• Tactical Execution & Support: Act as the primary point of escalation for the team, providing guidance on complex troubleshooting for CI/CD pipelines, secrets management, and infrastructure issues. Ensure the team provides timely and effective support to our internal engineering customers.
• Process Improvement: Recommend and establish procedures that improve team efficiency and service quality. Follow and enforce operational policies, ensuring the team adheres to best practices for security, upgrades, and incident response.
• Stakeholder Collaboration: Interact frequently with functional peer group managers and internal customers. Lead cooperative efforts among team members and cross-functional partners to resolve issues and deliver on project goals.

Required Skills

Experience: Typically requires a minimum of 5-8+ years of related experience in a DevOps, SRE, or Platform Engineering environment, with demonstrated experience leading projects or mentoring team members.

• Technical Knowledge:
  • Strong understanding of DevOps principles and the administration of CI/CD toolchains (e.g., Jenkins, Artifactory, GitHub, Vault, Terraform).
  • Solid experience with AWS infrastructure management and Infrastructure as Code (IaC) concepts.
  • Proven ability to diagnose and guide teams through complex technical issues across distributed systems.
  • Familiarity with scripting, automation, and modern operational best practices.

• Management & Soft Skills:

• A customer-centric approach with a passion for enabling engineering productivity and success.
• Excellent ability to manage schedules, set performance requirements, and use resources effectively to meet goals.
• Strong communication skills for interacting with employees, peers, and internal customers.
• Proven ability to lead cooperative efforts and foster a collaborative team environment.

As a Senior Release Manager, you will be the central orchestrator for delivering value to our customers, acting as a critical bridge between Engineering, Ops, and Customer Care. Your primary impact will be to ensure a smooth, predictable, and efficient release process for all software and infrastructure changes. You will achieve this by:

• Driving Release Strategy and Execution:You will partner directly with engineering teams to plan, coordinate, and execute the delivery of new features and updates. Your role is to manage the entire release lifecycle, from initial planning and risk assessment to final deployment and communication.
• Enhancing Visibility and Decision-Making:You will provide crucial insights to the business by developing and maintaining dashboards in Jira and Confluence and tracking key metrics that align to business outcomes. Your ability to use data to drive decisions will ensure stakeholders have a clear view of release progress and potential risks.
• Championing Agile and Process Improvement:You will be a key driver of our Agile culture, constantly improving our release processes, practices, and tooling. By defining and rolling out common approaches and leveraging your experience with scaled agile frameworks, you will make it simpler for teams to deliver high-quality software efficiently.

Your Qualifications:

Essential

• Extensive commercial experience as a Release Engineer or Release Manager within a software engineering environment.
• Strong history of using data to track metrics and drive decision-making.
• Demonstrated experience with software delivery, including continuous integration and delivery (CI/CD) pipelines.
• Proven experience implementing and working within a scaled framework for agile development.
• Strong leadership and change management skills, with the ability to lead via influence in a cross-functional setting and manage the rollout of new processes.

Key Skills & Technologies

• Excellent communication skills, especially in translating technical concepts for diverse audiences.
• Expertise with Jira(including Advanced Roadmaps), Confluence, and CI/CD tools like Jenkins and Harness.
• Familiarity with cloud environments such as Google Cloud (GCP)and AWS.

Desirable

• A background in DevOps.
• Proficiency with scripting languages.
• Experience with data visualization tools like PowerBI.
• Knowledge of Splunk and GitHub.

Job Description

 PayPay is looking for a Frontend Engineer to build and scale UI/Product experiences for our web applications. You’ll work closely with Product, Design, and Backend teams to deliver high-quality features, contribute to a growing design system.

Primary Responsibilities

• Deliver product features end-to-end: translate requirements into clean, scalable UI implementations with well-structured components and predictable data flow.
• Build reusable UI components and patterns: contribute to and extend our design system using tools like Storybook; prioritize consistency, accessibility basics, and developer ergonomics.
• Integrate APIs and handle real-world states: implement robust data fetching patterns (pagination, caching, retries), and manage loading/error/empty states with clear UX behavior.
• Write maintainable, modular code: apply good separation of concerns (presentation vs business logic vs API layer), meaningful abstractions, and clear naming; keep codebase easy to extend.
• Optimize performance and reliability: identify bottlenecks (rendering, network, bundle size), apply pragmatic improvements (memoization, debouncing, virtualization where relevant), and avoid async pitfalls (stale responses, race conditions).
• Improve engineering quality: participate actively in code reviews, raise the bar on standards, and help enforce best practices around testing strategy, i18n, and build tooling.
• Collaborate cross-functionally: work closely with PM/Design/Backend to clarify requirements, propose tradeoffs, and deliver iteratively with high ownership.
• Support operational excellence: use observability tooling (e.g., Sentry, New Relic, Kibana) to debug production issues, measure impact, and improve stability.
• Grow toward full-stack ownership (optional path): partner with backend teams and gradually take on BFF/API contributions using Node.js (NestJS/Express) as needed.

Tech Stack

Frontend: Typescript/Javascript , React/Vue, single-spa, Webpack, Jest, Storybook, i18n , micro-frontend

Middlewear : NestJS, Express

Infra/CI: AWS, Docker, Kubernetes, ArgoCD, Terraform, GitHub Actions, Jenkins

Obs/Analytics: Sentry, Kibana, New Relic, Google Analytics, Firebase

Qualifications

• 3 - 5 years of professional frontend development experience.
• Strong JavaScript fundamentals.
• Solid experience in React and/or Vue.
• Proven ability to write readable, modular, production-quality code.
• Strong problem-solving skills with practical DSA (web-relevant) comfortable reasoning about time/space complexity.
• Performance awareness: can identify bottlenecks and implement pragmatic optimizations.
• Ability to do low-level design (LLD) for frontend features: break down requirements into components/modules, define interfaces, and plan implementation in milestones.
• Good communication: can explain approach and tradeoffs clearly.
• Leverage AI/LLM based tools in daily workflows

Preferred Qualifications

• Experience with Nest.js (routing, SSR/CSR tradeoffs, data fetching strategies).
• Experience with Node.js or API integration patterns (REST, pagination, auth flows, error handling).
• Familiarity with design systems, accessibility basics, and responsive UI patterns.
• Exposure to frontend observability (error logging, basic performance metrics).
• Experience with micro-frontends (e.g., single-spa) or large-scale frontend architectures.

What success looks like

• You can independently deliver a feature end-to-end with clean architecture and reliable async handling.
• Your code is modular, maintainable, and performance-conscious.
• You contribute to consistent UI patterns and raise team quality through reviews and collaboration.

Remarks

＊Please note that you cannot apply for PayPay (Japan-based jobs) or other positions in parallel or in duplicate.

PayPay 5 senses

• Please refer PayPay 5 senses to learn what we value at work.

Working Conditions 

Employment Status

• Full Time

Office Location

• Gurugram (Wework)

　　※The development center requires you to work in the Gurugram office to establish the strong core team.
　　　

Overview:   The Senior Software Development Engineer L4 is expected to successfully work through complex tasks independently, understand the intricacies of the software development life cycle, and display strong adherence to fundamental software engineering principles in the production of software. This position possesses a deep understanding of the computer’s architectural design and other issues like testing and scalability of software products.

Duties and Responsibilities:

• Work collaboratively to write high quality, testable code that meets the “Definition of Done” as it relates to team commitments;
• Utilize a “Test-First” approach to software development, where possible, in which the test is developed before the code; 
• Participate in design and code reviews with other engineers; 
• Create automated unit, system and acceptance tests and participate in test plan reviews; 
• Actively support and contribute to end of iteration demos;  
• Responsible for assigned integration, testing and deployment tasks; 
• Work with product management to scope and estimate product enhancements; 
• Design, implement, unit test software, and test software following defined processes;  
• Fix software defects (internal or customer reported) following defined process; 
• Actively foster continuous team improvement by being accountable for actions and continuously striving to become a better problem solver;
• Contribute to team retrospectives, helping to identify and resolve team impediments; 
• Write and maintain documentation to describe program development, logic, coding, testing, changes, and corrections; 
• Actively participate in the change management process as business and technical scope is adjusted; 
• Adhere to all confidentiality, HIPAA, regulatory, and other such policies, procedures, and requirements as outlined within Employer’s Operating Policies and Procedures in all ways and at all times with respect to any aspect of the data handled or services rendered in the scope of work.
• Maintain compliance with Inovalon’s policies, procedures and mission statement, and fulfill those responsibilities and/or duties that may be reasonably provided by Inovalon for the purpose of achieving operational and financial success.
• On Call Policy: Participate in an on-call rotation to support critical issues, including outside standard business hours (evenings, weekends, and holidays), ensuring timely response and resolution as per defined SLAs.

Job Requirements:

Experience: 

• 5 to 8 Years of  hands on experience on Java/J2EE programming, especially on Java 8 features.
• Experience using latest frameworks like Spring, Spring Boot, Spring Rest, Spring Data, Spring Security and Hibernate.
• Experience on Angular is required
• Experience in Micro services architecture & development.
• Experience with SQL on any of the RDBMS – Oracle, PostgreSQL, My SQL.
• Hands on experience with development tools like Git, Gradle, Maven, Sonar, Jenkins, Antifactory etc.
• Experience with Test-driven development (TDD), code testability standards, JUnit/Mockito.
• Experience with DevOps practices and CICD model of development.
• Agile project experience along with working on Agile tools like JIRA/Azure DevOps.
• Must have the capability to work independently.
• Strong written and verbal communication skills.

Education:

• Bachelor's degree in computer science, Software Engineering, or Information Technology
• Master's degree or PhD in Computer Science, a related technical field, or equivalent practical experience preferred.

Physical Demands and Work Environment:

• Sedentary work (i.e. sitting for long periods of time).
• Exerting up to 10 pounds of force occasionally and/or negligible amount of force.
• Subject to inside environmental conditions.
• Travel for this position will include less than 10% locally usually for training purposes.

Who are we looking for?

As an Associate Automation Architect, you will have a big impact on the growth of the company because of the significant role you play in ensuring the successful adoption of Leapwork by our customers.

Your primary objectives will be to work with our Enterprise customers and help them in automation strategy, Implementation, troubleshooting, best practices, adoption of Leapwork, and as a mentor for them using your deep technical knowledge and understanding of our product.

Since Leapwork is a fast-growing company in a high-growth market space, you will be expected to be very flexible and perform a wide variety of tasks.

The Role:

As an Associate test automation architect, you will be responsible for

• Understand customer's requirements and purpose the best possible automation solutions to our customers
•  Perform test automation requirement analysis, test strategy design, automation estimation, and planning prioritization, execution, automation monitoring, and control
• Collaborate with different teams to assure architectural solutions could be suitably translated into effectual and robust implementation
• Reviewing customer's automated test scripts, providing guidance to customers in implementing best practices, and fixing design/script issues
• Design and develop proofs-of-concept, demo to customers, and provide the architectural guidance to the end customers
• Assist pre-sales and sales in their client conversations in order to ensure maximum conversions and high-quality dialogue
• Provide test automation effort estimation to our sales team and create customer implementation plans based on customer prioritization
•  Assist customer success team to ensure product value creation by technically involved with assigned customers throughout their customer life cycle
• Help customers in onboarding, adoption, and scaling, and getting success with the product
• Troubleshoot complex automation issues with customers and resolve them under agreed SLA
• Create a knowledge base, training materials, and provide community support to leads and customers
• Ensure that customer feedback is incorporated in Leapwork
• Engage with clients in both technical pre-and post-sales activities to ensure LEAPWORK adoption, here are the type of engagements:
  • Implementation  (Remote, when possible and On-Site, when not) - these are short/long term implementations you need to get involved time to time may be a few projects at a time remotely
  • Tech Advisory Services - “Short term implementation support” assistance calls in which we provide our view on necessary “How-To” questions
  • Health Checks - Should be formed as a checklist to be analyzed and filled in, should cover the areas of test (definitions, docs), flow(Top Level design review), Infrastructure, Maintainability (a maintainability qualifier should be defined) and the result will be presented as a professional document detailing current status and recommendations. Most probably an on-site activity.
  • Flow Reviews - this is a detailed flow review as a service aiming to check Best Practices compliance and coverage
  • Workshops - Roadmap presentations, Best Practices presentations, presentation in user groups, expo
  • Upgrade Readiness  - Analysis of an existing system to prepare a LEAPWORK upgrade

Technical Qualifications/ Role Requirements (Must - Have Skills):

• Minimum 8+ years of proven, relevant Automation Experience.
• Understanding of Enterprise Architecture and IT systems and value-based selling
• Working Knowledge on Automation Frameworks, test automation strategy, automation effort estimation, and test automation prioritization
• Excellent Leadership and convincing skills, ability to lead a small team from time to time
• Working Knowledge of automation tools such as Selenium Web Driver/VSTS/UFT/Any RPA tools etc.
• Knowledge of at least one programming knowledge like C#/Java/Python
• Should possess good presentation and excellent communication skills
• Be experienced with agile, DevOps processes, source control, database, and CI/CD implementation
• Having knowledge of tools such as Jira, Jenkins, Team City, Azure, etc. is a plus.
• Enjoy working in a fast-paced, global environment
• Bachelor's degree in Engineering or equivalent preferred.
• Comfortable with both national and international travel -Willingness to travel 50-70%

The Role:

As an Associate Automation Architect, you will have a big impact on the growth of the company because of the significant role you play in ensuring the successful adoption of Leapwork by our customers.

Your primary objectives will be to work with our Enterprise customers and help them in automation strategy, Implementation, troubleshooting, best practices, adoption of Leapwork, and as a mentor for them using your deep technical knowledge and understanding of our product.

Since Leapwork is a fast-growing company in a high-growth market space, you will be expected to be very flexible and perform a wide variety of tasks.

Role Responsibilities:

As an Associate test automation architect, you will be responsible for

• Understand customer's requirements and purpose the best possible automation solutions to our customers
•  Perform test automation requirement analysis, test strategy design, automation estimation, and planning prioritization, execution, automation monitoring, and control
• Collaborate with different teams to assure architectural solutions could be suitably translated into effectual and robust implementation
• Reviewing customer's automated test scripts, providing guidance to customers in implementing best practices, and fixing design/script issues
• Design and develop proofs-of-concept, demo to customers, and provide the architectural guidance to the end customers
• Assist pre-sales and sales in their client conversations in order to ensure maximum conversions and high-quality dialogue
• Provide test automation effort estimation to our sales team and create customer implementation plans based on customer prioritization
•  Assist customer success team to ensure product value creation by technically involved with assigned customers throughout their customer life cycle
• Help customers in onboarding, adoption, and scaling, and getting success with the product
• Troubleshoot complex automation issues with customers and resolve them under agreed SLA
• Create a knowledge base, training materials, and provide community support to leads and customers
• Ensure that customer feedback is incorporated in Leapwork
• Engage with clients in both technical pre-and post-sales activities to ensure LEAPWORK adoption, here are the type of engagements:
  • Implementation  (Remote, when possible and On-Site, when not) - these are short/long term implementations you need to get involved time to time may be a few projects at a time remotely
  • Tech Advisory Services - “Short term implementation support” assistance calls in which we provide our view on necessary “How-To” questions
  • Health Checks - Should be formed as a checklist to be analyzed and filled in, should cover the areas of test (definitions, docs), flow(Top Level design review), Infrastructure, Maintainability (a maintainability qualifier should be defined) and the result will be presented as a professional document detailing current status and recommendations. Most probably an on-site activity.
  • Flow Reviews - this is a detailed flow review as a service aiming to check Best Practices compliance and coverage
  • Workshops - Roadmap presentations, Best Practices presentations, presentation in user groups, expo
  • Upgrade Readiness  - Analysis of an existing system to prepare a LEAPWORK upgrade

Technical Qualifications/ Role Requirements (Must - Have Skills):

• Minimum 8+ years of proven, relevant Automation Experience.
• Understanding of Enterprise Architecture and IT systems and value-based selling
• Working Knowledge on Automation Frameworks, test automation strategy, automation effort estimation, and test automation prioritization
• Excellent Leadership and convincing skills, ability to lead a small team from time to time
• Working Knowledge of automation tools such as Selenium Web Driver/VSTS/UFT/Any RPA tools etc.
• Knowledge of at least one programming knowledge like C#/Java/Python
• Should possess good presentation and excellent communication skills
• Be experienced with agile, DevOps processes, source control, database, and CI/CD implementation
• Having knowledge of tools such as Jira, Jenkins, Team City, Azure, etc. is a plus.
• Enjoy working in a fast-paced, global environment
• Bachelor's degree in Engineering or equivalent preferred.
• Comfortable with both national and international travel -Willingness to travel 50-70%

Job Description

PayPay India is looking for a QA Automation Engineer to enhance our payment systems and deliver the best customer experience. 

Main Responsibilities

• Utilizing the Testing Methodology, analyzes testing requirements as the basis for developing testing scenarios for a test level to be executed on a project.
• Design, create and review test cases based on specifications. Maintain and update test cases.
• Prepare test data, tools, and environment needed for test execution.
• Execute tasks related to the production of the test cases, test scripts, and test data.
• Execute Functional and Non-Functional tests.
• Report found defects, track status of reported defects, and verify fixes.
• Support knowledge management and collaboration through participation in testing discussions, communities and improving testing collateral through lessons learned.
• Provide trainings and instructions to newcomers.
• Serve as SME (Subject Matter Expert) in responsible areas. Develop and provide domain knowledge to support other QA engineers and developers 

Required Skills and Experiences

• At least 4 -8 years of QA Engineer or QA Leader experience.
• Ability to understand and analyze technical specifications. Experience in designing and creating test cases.
• Strong knowledge of QA methodology and QA tools, such as ALM, TestRail, TestLink, QASymphony, etc
• Hands-on Experience in Agile Scrum and Waterfall Software Development Lifecycle.
• Minimum 2 or more years of experience in running and maintaining automated test cases for mobile apps, web apps, or APIs.
• Professional experience in using one of following frameworks/tools - Appium for mobile apps , Selenium for web-based apps, or unirest/Rest Assured for API’s.
• Well versed in using Continuous Integration and Continuous Development tools, like Jenkins/Bitrise or any other.
• Experience in writing SQL, Java, or C# to develop automation frameworks to perform UI, API and backend database testing.
• Experience in creating complex SQL queries to verify results of testing.
• Strong organizational and problem solving skills with attention to detail, Self-driven and proactive, team worker, open-minded, and good communication style.

Preferred Qualifications

• ISTQB or equivalent certificate
• Experience in testing mobile applications (Android and iOS).
• Experience in working with microservices
• Experience in Docker and Kubernetes.
• Experience in working under a fast-paced development environment in IT/Web industry (experience of Agile development is a plus).
• Experience in developing the standardization of QA process and methodology, and/or proposing improvement in QA processes
• Experience in proposing and introducing new QA tools in the test process.
• Experience in the development or QA of systems in the financial and/or payment sector.
• Experience in running performance tests using Gatling/Wrk/Jmeter.
• Experience in bash or other CLI scripting
• Curiosity and passion about learning new technologies is a definite plus
• Leverage AI/LLM-based tools in daily workflows (e.g., code development, reviews, testing, debugging, documentation), while ensuring human oversight, judgment, and accountability drive the final product.

Remarks

＊Please note that you cannot apply for PayPay (Japan-based jobs) or other positions in parallel or in duplicate.

PayPay 5 senses

• Please refer PayPay 5 senses to learn what we value at work.

Working Conditions 

Employment Status

• Full Time

Office Location

• Gurugram (Wework)

　　※The development center requires you to work in the Gurugram office to establish the strong core team.
　　　

Job Description

PayPay India  is looking for a Senior Backend engineer to work on our payment system to deliver the best payment experience for our customers.

Main Responsibilities

• Design large scale systems with high complexity to support our high throughput applications.
• Understand how to leverage infrastructure for solving such large scale problems.
• Develop tools and contribute to open source wherever possible.
• Adopt problem solving as a way of life – always go to root cause! Support the code you write in production.
• [Extra requirements depending on the potential team it has been identified]

Tech Stack

We select the best combination of tech at times.
| Java, Kotlin, Scala
| Spring Boot, JUnit, Reselience4j, Feign
| MySQL/AuoraDB, DynamoDB, ELK, Kafka, Redis, TiDB
| Docker, Kubernetes, ArgoCD, AWS, GCP
| GitHub, IntelliJ, Gradle, Maven, npm/yarn, Flyway, Jenkins, snyk,
| Bigquery, Kibana, Spark
| PlantUML, draw.io, miro.com
| Slack, Zoom

Qualifications

• 6+ years of experience having excellent skills in Java & any other generalized programming language, such as Scala, Python, or Go.
• Interest and ability to learn other coding languages as needed.
• Experience with SQL and NoSQL databases, along with distributed cache.
• Strong fundamentals in data structures, algorithms and object oriented programming.
• In-depth understanding of concurrency and distributed computing.
• Experience implementing platform components such as RESTful APIs, Pub/Sub Systems, and Database Clients.
• Experience with microservices.
• Experience designing high traffic systems.
• Degree in Computer Engineering or Computer Science or 5+ years equivalent experience in SaaS platform development.
• Business of English or Japanese　
• [Extra requirements depending on the potential team it has been identified]

Preferred Qualifications

• • Experience in working for system development in finance, payment, or similar industries.
  • Language ability in Japanese and English is a plus (We have a professional translator but it is nice to have language skills).
  • Experience with AWS services.
  • Leverage AI/LLM-based tools in daily workflows (e.g., code development, reviews, testing, debugging, documentation), while ensuring human oversight, judgment, and accountability drive the final product.
  • [Extra requirements depending on the potential team it has been identified]

Remarks

＊Please note that you cannot apply for PayPay (Japan-based jobs) or other positions in parallel or in duplicate.

PayPay 5 senses

• Please refer PayPay 5 senses to learn what we value at work.

Working Conditions 

Employment Status

• Full Time

Office Location

• Gurugram (Wework)

     ※The development center requires you to work in the Gurugram office to establish the strong core team.
     　

Job Description

PayPay India is looking for a Backend engineer to work on our payment system to deliver the best payment experience for our customers.

Main Responsibilities

• Design large scale systems with high complexity to support our high throughput applications.
• Understand how to leverage infrastructure for solving such large scale problems.
• Develop tools and contribute to open source wherever possible.
• Adopt problem solving as a way of life – always go to root cause! Support the code you write in production.

Tech Stack

We select the best combination of tech at times.
| Java, Kotlin, Scala
| Spring Boot, JUnit, Reselience4j, Feign
| MySQL/AuoraDB, DynamoDB, ELK, Kafka, Redis, TiDB
| Docker, Kubernetes, ArgoCD, AWS, GCP
| GitHub, IntelliJ, Gradle, Maven, npm/yarn, Flyway, Jenkins, snyk,
| Bigquery, Kibana, Spark
| PlantUML, draw.io, miro.com
| Slack, Zoom

Qualifications

• 4+ years of Experience in using Java under professional environment, or if you are non-Java user, excellent skills in generalized programming languages, such as Scala, Python and Go.
• Interest and ability to learn other coding languages as needed.
• Experience with NoSQL databases and distributed cache.
• Strong fundamentals in data structures, algorithms and object oriented programming.
• In-depth understanding of concurrency and distributed computing.
• Degree in Computer Engineering or Computer Science or 5+ years equivalent experience in SaaS platform development.
• Business of English or Japanese　

Preferred Qualifications

• Experience with implementing platform components such as RESTful APIs, Pub/Sub Systems, Database Clients.
• Experience with AWS services.
• Experience in working for system development in finance, payment, or similar industries
• Experience in system design, development of web system which handles massive amount of transactions or requires scalability
• Experience in microservices
• Leverage AI/LLM-based tools in daily workflows (e.g., code development, reviews, testing, debugging, documentation), while ensuring human oversight, judgment, and accountability drive the final product.

Remarks

＊Please note that you cannot apply for PayPay (Japan-based jobs) or other positions in parallel or in duplicate.

PayPay 5 senses

• Please refer PayPay 5 senses to learn what we value at work.

Working Conditions 

Employment Status

• Full Time

Office Location

• Gurugram (Wework)
  

  ＊The development center requires you to work in the Gurugram office to establish the strong core team.
     

Your Impact

The Principal Software Engineer shapes and evolves our architecture using Distributed Domain Driven Design practices, ultimately ensuring the robustness and scalability of our systems. They influence architectural directions, and through project-embedded consultation. They guide teams to leverage best practices and design patterns.

What You'll Do

● Architecture Leadership: Drives the definition and evolution of our architecture using Distributed Domain Driven Design practices. Acts as the strategy leader for key Architecture Quality Attributes (e.g., Availability, Performance, Scalability, Securibility) to inform architecture assessments. Provides project-embedded architecture consultation to promote best Practices, design patterns, and informed buy vs. build decisions. 
● Platform Capability Enhancement: Contributes to the prioritization of platform capability improvements across feature and data platforms. Enhances the capture and communication of architecture descriptions through automation and innovative tools. Shepherds platform-wide strategies, including naming, protocol standards, and design patterns, to ensure ongoing value creation. 
● Effective Communication: Communicates complex technical concepts effectively in both written and spoken forms, catering to both technical and non-technical audiences. Collaborates with stakeholders to build consensus when necessary, ensuring alignment on architectural decisions.

Who You Are

● 15+ years of relevant experience
● Experience with high volume distributed technical architectures with a high cost of failure, i.e. focus on reliability and availability 
● Experience with some amount of ‘Big Data’ technologies such as: ElasticSearch, NoSQL Stores, Kafka, Columnar Databases, DataFlow or Pipeline Systems, Graph DataStores 
● Experience with leveraging common infrastructure services like Enterprise Message Bus platforms, configuration services, Toggle management systems, and observability systems like Logging and Distributing Tracing Systems 
● Experience with Domain Driven Design concepts and practices such as bounded contexts, event storming, specification by example, etc. 
● Experience with design, implementation, and operation of data-intensive, distributed systems
● Ability to design and communicate external and internal architectural perspectives of well-encapsulated systems (e.g. Service Oriented Architecture, Docker-based Services, micro-services) using patterns and tools such as Architecture/Design Patterns and Sequence Diagrams 
● Skilled using Continuous Integration and Continuous Deployment (CI/CD) with an emphasis on automation tools like Terraform, Jenkins, CodePipeline. 
● Knowledge of API / Data Model Design and Implementation, including how to scale out, make highly available, or map to storage systems 
● Knowledge of multiple software stacks 
● Skilled with designing and operating software in a Cloud Provider such as AWS, Azure, or GCP 
● Knowledge about algorithm development for intensive pipeline processing systems
● Possesses an understanding of how to design and develop from a security perspective 
● Possesses an understanding of how to identify, select, and extend 3rd party components (Commercial or Open Source) that provide operational leverage but do not constrain product and engineering creativity

Even Better If You Have...

● Experience designing, modifying, and operating multi-tenant systems 
● Experience using feature or release toggles as a code branching strategy

Perks of DISCO

• Open, inclusive, and fun environment
• Benefits, including medical and dental insurance
• Competitive salary plus discretionary bonus
• Opportunity to be a part of a startup that is revolutionizing the legal industry
• Growth opportunities throughout the company