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

Job Description

PayPay's rapid growth necessitates the expansion of its product teams and underscores the critical need for a resilient Data Engineering Platform. This platform is vital to support our increasing business demands. The Data Pipeline team is tasked with creating, deploying, and managing this platform, utilizing leading technologies like Databricks, Delta Lake, Spark, PySpark, Scala, and the AWS suite.

We are actively seeking skilled Data Engineers to join our team and contribute to scaling our platform across the organization.

Main Responsibilities

• Create and manage robust data ingestion pipelines leveraging Databricks, Airflow, Kafka, and Terraform.
• Ensure high performance, reliability, and efficiency by optimizing large-scale data pipelines.
• Develop data processing workflows using Databricks, Delta Lake, and Spark technologies.
• Maintain and improve the Data Lakehouse, utilizing Unity Catalog for efficient data management and discovery.
• Construct automation, frameworks, and enhanced tools to streamline data engineering workflows.
• Collaborate across teams to facilitate smooth data flow and integration.
• Enforce best practices in observability, data governance, security, and regulatory compliance

Qualifications

• Minimum 7 years as a Data Engineer or similar role.
• Hands-on experience with Databricks, Delta Lake, Spark, and Scala.
• Proven ability to design, build, and operate Data Lakes or Data Warehouses.
• Proficiency with Data Orchestration tools (Airflow, Dagster, Prefect).
• Familiarity with Change Data Capture tools (Canal, Debezium, Maxwell).
• Strong command of at least one primary language (Scala, Python, etc.) and SQL.
• Experience with data catalog and metadata management (Unity Catalog, Lakeformation).
• Experience in Infrastructure as Code (IaC) using Terraform.
• Excellent problem-solving and debugging abilities for complex data challenges.
• Strong communication and collaboration skills.
• Capability to make informed decisions, learn quickly, and consider complex technical contexts.

• 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.
     

We are looking for a Solutions Engineer – Lead Engineer to join our Corporate Technology team. As a Solutions Engineer, you will be expected to leverage your extensive experience and technical expertise to design, implement, and optimize Windows-based solutions in enterprise environments.

What You'll Do:

• Architectural Design: Lead the design and development of complex solutions, ensuring alignment with business objectives and architectural principles.
• AI observability for platforms and assistants. Instrument agents and automations with metrics for accuracy, drift, latency, containment, and user satisfaction; wire dashboards (Grafana/ELK) and feedback loops into CI/CD so models and prompts improve continuously—consistent with the JD’s observability focus
• Technical Leadership: Provide guidance and mentorship to engineering teams in the implementation of Windows-based solutions, ensuring best practices and adherence to industry standards.
• Solution Development: Collaborate with cross-functional teams to translate business requirements into scalable and secure Windows architectures, integrating with existing systems and technologies.
• Technology Evaluation: Research and evaluate emerging technologies and tools, recommending innovative solutions to enhance system performance, reliability, and security.
• Risk Management: Identify and mitigate risks associated with Windows-based solutions, ensuring compliance with regulatory requirements and security standards.
• Troubleshooting and Optimization: Investigate and resolve complex technical issues related to Windows infrastructure, optimizing performance, and minimizing downtime.
• Automation and DevOps: Knowledge of Gitops, Scripting and automation would be an essential part of the role. Knowledge of writing automations in either PowerShell/Python would be a mandatory requirement for this role.

What You’ll Need:

• 6+ years architecting and implementing enterprise infrastructure solutions with a proven track record of designing scalable, resilient, and secure systems including integration with Windows and cloud platforms.
• Expertise in Windows Server, Active Directory, Microsoft Azure/AWS virtualization (EC2, Azure VMs, Azure Virtual Desktop), and Microsoft Defender. Knowledge of macOS integration with enterprise identity platforms (Active Directory, Azure AD, Okta), including single sign-on (SSO) and federated authentication. Ability to design and optimize multi-platform architectures (Windows, macOS, Linux) for scalability, resilience, and security.
• Proficiency with Microsoft Intune for endpoint management (MDM/MAM) and understanding of hybrid architecture and cloud shared responsibility model. Proficiency in macOS device management using tools such as Jamf Pro, Kandji, or Apple Business Manager, including MDM/MAM strategies for hybrid and multi-platform environments. Experience with automation and scripting on macOS (e.g., Bash, Zsh, AppleScript, Python), enabling workflow optimization and cross-platform orchestration
• Strong troubleshooting skills for macOS infrastructure, including performance optimization, incident response, and root cause analysis.
• PowerShell and Python coding/scripting capabilities for automation and workflow development
• Experience with GitOps, CI/CD pipelines, and Infrastructure as Code (Terraform, Ansible, ARM templates)
• Proficiency in cloud-native and multi-cloud architectures (Kubernetes, Docker, serverless)
• Familiarity with observability and monitoring platforms (Prometheus, Grafana, ELK stack) and AI-driven automation
• Familiarity with Exchange Online, SharePoint, Microsoft Power Platform would be a plus
• Experience implementing zero trust solutions (Zscaler, CrowdStrike) would be a plus
• Relevant certifications such as Microsoft Certified: Azure Solutions Architect Expert, MCSE: Core Infrastructure, or AWS Solutions Architect would be a plus
• Good to have exposure with AI/ML integration, data analytics, and automation in enterprise environments.

Arcesium's Personal Data Privacy Notice for Candidates is linked here. 

We’re looking for a Full Stack Engineer who expects more from their career. This role offers an opportunity to build scalable, high-performance solutions in the engineering team, enhance code quality and engineering excellence, and contribute to critical architecture decisions within a data driven environment. 

You’ll be part of a team that builds advanced software solutions for retail clients, focused on driving customer loyalty and personalization at scale. The team combines data, AI, and automation to help businesses better understand their customers and create meaningful, tailored experiences. By bringing together customer insights and strategy, the solutions enable retailers to design, manage, and optimize loyalty programs, customer journeys, and campaigns in real time—ensuring every interaction feels relevant and impactful.

With decades of expertise in retail and personalization, the team delivers a flexible, end-to-end platform that includes customer profile management, AI-driven predictions, campaign orchestration, and performance dashboards. Beyond implementation, the team works closely with clients to continuously refine strategies and maximize outcomes—helping businesses increase customer retention, influence behavior, and drive sustainable revenue growth in an increasingly AI-driven world.

Responsibilities:

• 3+ years of hands-on experience in Full Stack development, focusing on performance, scalability, security, and maintainability.  
• Strong proficiency in Frontend tech with expertise in any frontend framework.
• Strong proficiency in backend programming language, system design, Oops concepts.
• Drive code quality, ensuring adherence to best practices, design patterns, and SOLID principles.  
• Experience with cloud platforms (Google Cloud Platform & Azure), implementing cloud native best practices for scalability, security, and resilience.  
• Experience with containerization (Docker) and orchestration (Kubernetes, Helm).  
• Knowledge in CI/CD automation, with experience in GitOps workflows and Infrastructure-as Code (Terraform, Helm, or similar). 

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.

We’re looking for a Sr Full Stack Software Engineer who expects more from their career. This role offers an opportunity to build scalable, high-performance solutions in the engineering team, enhance code quality and engineering excellence, and contribute to critical architecture decisions within a data driven environment. 

You’ll be part of a team that builds advanced software solutions for retail clients, focused on driving customer loyalty and personalization at scale. The team combines data, AI, and automation to help businesses better understand their customers and create meaningful, tailored experiences. By bringing together customer insights and strategy, the solutions enable retailers to design, manage, and optimize loyalty programs, customer journeys, and campaigns in real time—ensuring every interaction feels relevant and impactful.

With decades of expertise in retail and personalization, the team delivers a flexible, end-to-end platform that includes customer profile management, AI-driven predictions, campaign orchestration, and performance dashboards. Beyond implementation, the team works closely with clients to continuously refine strategies and maximize outcomes—helping businesses increase customer retention, influence behavior, and drive sustainable revenue growth in an increasingly AI-driven world.

Responsibilities:

• 6+ years of hands-on experience in Full Stack development, focusing on performance, scalability, security, and maintainability.  
• Strong proficiency in Frontend tech with expertise in any frontend framework.
• Strong proficiency in backend programming language, system design, Oops concepts.
• Drive code quality, ensuring adherence to best practices, design patterns, and SOLID principles.  
• Experience with cloud platforms (Google Cloud Platform & Azure), implementing cloud native best practices for scalability, security, and resilience.  
• Hands On Experience with containerization (Docker) and orchestration (Kubernetes, Helm).  
• Experience in CI/CD automation, with experience in GitOps workflows and Infrastructure-as Code (Terraform, Helm, or similar). 

About Us:

Inovalon is a leading healthcare technology company dedicated to revolutionizing the healthcare industry through innovative AI and machine learning solutions. Our mission is to leverage cutting-edge technology to improve health outcomes and streamline healthcare processes.

Role overview

 As an MLOps Engineer, you will design, build, and operate the infrastructure and tooling that power end-to-end ML workflows on AWS, including SageMaker, Bedrock, and Snowflake Cortex. You will partner closely with data scientists, ML engineers, and platform teams to ensure models are reliable, secure, and scalable in production.

Key responsibilities

• Design, implement, and maintain CI/CD pipelines for ML models and data workflows using AWS-native services and infrastructure-as-code.
• Operationalize models built on SageMaker, Bedrock, and Snowflake Cortex, including feature pipelines, training, batch/real-time inference, and monitoring.
• Build and manage data pipelines and feature stores using services such as AWS Glue, Lambda, Step Functions, and Snowflake.
• Implement observability for ML systems (logging, metrics, tracing, drift/quality monitoring) and establish SLOs/SLAs for production ML services.
• Automate environment provisioning, configuration, and dependency management across dev, test, and production.
• Partner with security and compliance teams to ensure ML workloads meet healthcare, privacy, and regulatory standards (e.g., HIPAA).
• Collaborate with ML engineers and data scientists to productionize notebooks and prototypes into robust, maintainable services.
• Contribute to best practices, standards, and documentation for ML platform and operations across the organization.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
• 4+ years of experience in software engineering, data engineering, or ML engineering with at least 2+ years focused on MLOps or ML platform work.
• Strong proficiency with Python and experience integrating ML libraries or frameworks (e.g., scikit-learn, TensorFlow, PyTorch) into production workflows.
• Hands-on expertise with AWS services relevant to MLOps: SageMaker, Bedrock, IAM, CloudWatch, ECR, ECS/EKS or Lambda, S3, Step Functions, and Glue.
• Experience with Snowflake (including Snowflake Cortex), SQL, and building secure, performant data pipelines into and out of Snowflake.
• Proficiency with CI/CD tools (e.g., GitHub Actions, GitLab CI, CodePipeline) and infrastructure-as-code (e.g., Terraform, CloudFormation, CDK).
• Familiarity with containerization and orchestration (Docker, Kubernetes) and event streaming tools (e.g., Kafka) is a plus.
• Knowledge of software engineering best practices, including testing, code reviews, version control, and design for reliability and scalability.
• Experience in regulated domains or with healthcare data standards and regulations is a plus (e.g., HIPAA, FHIR, HL7).

Soft skills and benefits

• Excellent problem-solving and analytical skills with a focus on reliability and automation.
• Strong communication and collaboration abilities, including working cross-functionally with engineering, data science, and product teams.
• Ability to work independently in a fast-paced environment
• Competitive salary and benefits package.
• Opportunity to work on impactful ML platforms that improve healthcare outcomes.
• Collaborative, innovative environment with professional development and growth opportunities.

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.

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.
　　　

About Payoneer 

Founded in 2005, Payoneer is the global financial platform that removes friction from doing business across borders, with a mission to connect the world’s underserved businesses to a rising global economy. We’re a community with over 2,500 colleagues all over the world, working to serve customers and partners in over 190 countries and territories. 

By taking the complexity out of the financial workflows–including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence–we give businesses the tools they need to work efficiently worldwide and grow with confidence. 

Role summary 

We’re looking for a Principal Architect who is a tech-enthusiast with a drive for excellence, and an out-of-the-box mindset to satisfy business needs in a complex payment solution environment. 

Location: Gurgaon-India 

Hybrid - Full-time 

What You’ll Do 

• You will be a core member of the Cloud Modernization initiative, a high-impact engineering function responsible for transforming our technology backbone into a modern, cloud-native platform. 
• You will operate at the intersection of cloud architecture and enterprise modernization, leading critical initiatives to migrate, modernize, and re-architect legacy platforms into scalable, secure, and highly automated cloud-native systems. 
• You will lead initiatives from a technical front, defining target architectures, establishing modernization patterns, and driving execution across engineering teams. You will design and implement cloud-native solutions, modern infrastructure platforms, and secure cloud environments that can support global-scale workloads. 
• This role operates in a mission-driven model, where you will engage with multiple teams to accelerate modernization, unblock critical initiatives, and establish patterns and platforms that can be adopted broadly across the organization. 
• You will work closely with architecture, platform, infrastructure, security, and product teams to modernize legacy systems, migrate databases and applications to the cloud, introduce modern DevOps and platform engineering practices, and raise the overall cloud maturity of the organization. 
• Your work will directly shape the company’s future cloud platform and engineering velocity. 

Who You Are 

• You are a seasoned Cloud and Modernization Architect with a strong sense of ownership and accountability. You are comfortable operating in complex enterprise environments and driving large-scale transformation initiatives. 
• You bring deep expertise across cloud platforms, infrastructure, databases, and DevOps, and can translate legacy architectures into modern, scalable, and cloud-native systems. 
• You balance long-term architectural vision with pragmatic execution and understand how to modernize systems safely and incrementally. 
• You embrace change and continuously adapt to evolving technologies, architectures, and organizational needs. You are proactive, curious, and comfortable making architectural decisions in ambiguous environments. 
• You thrive in cross-team environments and influence teams through technical leadership, clarity, and strong execution. 
• You are impact-driven, not territory-driven, and measure success by how effectively you modernize systems, enable teams, and improve the organization’s overall cloud maturity. 

Key skills and competencies 

• 10+ years of experience in cloud architecture, infrastructure, or platform engineering 
• Deep hands-on experience with public cloud platforms, preferably AWS 
• Proven experience leading cloud migration and modernization of enterprise systems 
• Strong experience designing cloud architecture including compute, storage, networking, and security 
• Strong experience with Infrastructure as Code, preferably Terraform or CloudFormation 
• Experience with cloud networking, VPC design, private connectivity, and secure architectures 
• Experience with relational databases such as PostgreSQL, MySQL, or Aurora 
• Experience with NoSQL databases such as DynamoDB, MongoDB, or similar 
• Experience with containers and Kubernetes, preferably EKS 
• Experience building and operating CI/CD pipelines and modern DevOps practices 
• Experience modernizing legacy systems into microservices or cloud-native architectures 
• Experience with high availability, scalability, and disaster recovery design 
• Experience working in enterprise environments with strong security and compliance requirements 
• B.S. in computer science or equivalent 

The Payoneer Ways of Working Act as our customer’s partner on the inside 

Learning what they need and creating what will help them go further. 

Continuously improve 

Always striving for a higher standard than our last. 

Do it. Own it. 

Being fearlessly accountable in everything we do. 

Build each other up 

Helping each other grow, as professionals and people. 

If this sounds like a business, a community, and a mission you want to be part of, apply today. 

We are committed to providing a diverse and inclusive workplace. Payoneer is an equal opportunity employer, and all qualified applicants will receive consideration for employment no matter your race, color, ancestry, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law. If you require reasonable accommodation at any stage of the hiring process, please speak to the recruiter managing the role for any adjustments. Decisions about requests for reasonable accommodation are made on a case-by-case basis. 

#LI-AK1

Overview:   The Senior Systems Development Engineer L4 will focus on defining, implementing, and enforcing governance and standards for Inovalon’s commercial cloud platforms including AWS, Azure, GCP, OCI, and Snowflake. This role requires good understanding of cloud-based infrastructure, virtual machines, storage, networking, and security. This position will split time between developing commercial cloud governance and standards, defining and implementing platform-level features, developing infrastructure as code, and supporting application engineering teams with application design and implementation.

Duties and Responsibilities:

• Assumes responsibility for defining, implementing, and enforcing governance and standards for commercial cloud platforms including AWS, Azure, GCP, OCI, and Snowflake.
• Applies commercial cloud best practices to design, develop, and implement AWS, Azure, and GCP platform-level features.
• Discover, review, and influence new and evolving design, architecture, and standards for building and delivering unique cloud-based infrastructure, applications, and services.
• Collaborate with application engineering teams to create, monitor, and troubleshoot system infrastructure.
• Be an expert in service reliability, sustainability, and efficiency. Collaborate with product, application engineering, and security teams to ensure solutions realize non-functional requirements such as availability, performance, security, maintainability, and cost-efficiency.
• In depth knowledge of infrastructure deployment including knowledge of installation, configuration, troubleshooting of Servers, Storage, and Networking.
• Develop, gather, and leverage metrics to manage cloud-based infrastructure to drive automation, improvement, and performance.

• Windows and/or Linux installation and configuration knowhow and automation skills.
• Strong understanding about AD(Active Directory) , GPO (Group Policy Object), RDS(Remote Desktop Service)
• Implement backup and disaster recovery strategies

Job Requirements:

• Minimum of 5+ years experience as a Cloud Engineer, Site Reliability Engineering, or Systems Engineer.
• Extensive knowledge of existing industry standards, technologies, services, and infrastructure operations of cloud computing platforms such as AWS, Azure, GCP, OCI, or Snowflake.
• Extensive knowledge of infrastructure as code automation and continuous integration/delivery tools such as Azure DevOps, Azure Pipelines, Terraform, or similar.
• Extensive scripting experience with Terraform, Linux Shell, PowerShell, Python, or others.

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.

Tesco Media is building a world-class, self-serve B2B advertising platform that enables retailers and brands to plan, activate, and measure omnichannel retail media campaigns

Retail Media is transforming how advertisers connect with consumers through personalized and targeted campaigns across retailers' digital and physical touchpoints. Retail Media Measurement plays a pivotal role in ensuring the effectiveness of these campaigns, driving value for advertisers, retailers, and consumers alike

We are looking for a Engineer- SRE with experience in observability and monitoring who can help us keep our large, distributed systems reliable, fast, and running smoothly.
In this role, you will help improve how we build and maintain reliable systems, strengthen system stability, create automation standards, and guide engineering teams on SRE best practices.

You will work closely with platform, backend, security, and product teams to ensure our services are stable, easy to monitor, and always available. You will use tools like Prometheus, Grafana, Elastic, and New Relic to improve system visibility, manage incidents, and boost overall performance.

Key Responsibilities

• Implement monitoring, logging, and tracing for applications, services, and infrastructure.
• Build dashboards and alerts to monitor system health and performance.
• Support production systems and participate in incident response activities.
• Troubleshoot operational issues using logs, metrics, and system diagnostics.
• Work with engineering teams to onboard services into monitoring platforms.
• Assist in defining alert thresholds and reducing unnecessary alert noise.
• Maintain monitoring configurations and ensure operational documentation is up to date.
• Support post-incident reviews and implement improvements in monitoring coverage.
• Automate routine operational tasks where possible.

Required Experience

• 3–5 years of experience in infrastructure operations, monitoring, or Site Reliability Engineering.
• Experience working with Infrastructure as Code tools such as Terraform.
• Familiarity with cloud platforms such as GCP or Azure.
• Understanding of APIs, service monitoring, and system logs.
• Experience supporting production environments and incident response processes.
• Strong written and verbal communication skills with the ability to collaborate across teams.

Preferred Experience

• Experience with observability tools such as Grafana, Prometheus, Splunk, or New Relic.
  
  
• Experience supporting distributed systems or microservices.
• Exposure to automation or scripting for operational tasks.
• Experience working in Media, SaaS, or streaming environments.

We are looking for a hands-on Lead/ Senior DevOps Engineer to raise the bar for our DevOps practice, mentor the team, and help evolve our DevOps function into a modern, product-minded Platform Engineering capability. You’ll lead day-to-day work, partnering closely with Dunnhumby leadership, and drive high-quality outcomes across infrastructure-as-code, CI/CD, observability, and developer experience. You’ll collaborate directly with software teams and treat platforms as products—anchored by user feedback, clear roadmaps, SLOs, and measurable improvements to delivery speed and reliability.

Our Toolset: (you don’t need all, but you can lead with most)

What You'll Do

• Lead and mentor a small team of DevOps engineers in IST, providing day-to-day guidance, pairing, and structured growth plans.
• Partner with product and engineering teams to help deliver a platform-as-product: contributing to clear roadmaps, customer feedback loops, SLOs, and well-documented golden paths.
• Own cloud infrastructure (GCP, some Azure) using infrastructure-as-code (Terraform).
• Design, standardize, and continuously improve CI/CD pipelines in GitLab, and facilitate migrations from TeamCity and Octopus Deploy.
• Establish and scale GitOps practices with Argo CD; champion progressive delivery and environment promotion strategies.
• Strengthen observability with actionable dashboards and alerts in Grafana; drive SLO/error-budget thinking and operational reviews.
• Improve security posture across the SDLC (secrets management, image/package governance, artifact hygiene, SAST/DAST reporting via SonarQube).
• Facilitate excellent cross-time-zone communication and handovers; set up crisp status updates, docs, and runbooks in Confluence.
• Influence architecture and reliability decisions (Kubernetes, networking, IAM, cost management) with a bias for automation and sustainability.
• Contribute hands-on: code reviews, IaC modules, pipeline templates, and reference implementations.

What You'll Bring

• 8+ years in DevOps / SRE / Platform Engineering with hands-on delivery in cloud-native environments.
• Proven leadership: experience in line management and mentoring/coaching across teams without formal authority.
• Strong communication: clear written and verbal communication with engineers, stakeholders, and leadership across time zones.
• Deep experience with GCP (preferred) and working knowledge of Azure; strong grounding in Kubernetes, networking, IAM, and security fundamentals.
• Mastery of infrastructure-as-code (Terraform) and configuration management (Helm); excellent scripting in Bash and at least one higher-level language (Python/Go/etc.).
• Fluency with CI/CD design and operations using GitLab, TeamCity, and Octopus; artifact and dependency management via Artifactory.
• Operational excellence mindset: incident management, post-incident reviews, runbooks, SLOs, and data-driven improvement via DORA/SDLC metrics.
• Track record of building developer-centric platforms, internal documentation, enablement materials, and golden paths.
• Relevant certifications that demonstrate depth (e.g., Google Professional Cloud DevOps Engineer / Architect, CKA/CKAD/CKS, Azure Administrator/DevOps Engineer Expert).

Nice to Have

• Experience modernizing a traditional Cloud/Infra team into a product-oriented Platform Engineering practice.
• Background with GitOps policy/guardrails, environment promotion, and release orchestration at scale.
• Exposure to cost optimization and FinOps practices in GCP/Azure.
• Hands-on with self-hosted GitLab Premium administration at enterprise scale.
• Pragmatic, outcome-focused delivery with a product mindset and high empathy for developers as customers.

Job Description

 PayPay is looking for a Cloud Infrastructure Engineer for PayPay's Cloud Based payment system. This role will be responsible for the engineering of Cloud Infrastructure Platforms to provide robust, reliable and cost-efficient Platform so that we can deliver the best experience for our growing customers base.

Primary Responsibilities

• Architect and build a robust, scalable and stable infrastructure
• Architect and build Infrastructure that is easily maintainable during patching and upgrades without downtime
• Architect and build Infrastructure with AWS regional level failure tolerance
• Work together with our Security Engineers to provision a secure Infrastructure
• Automations for AWS Deployments to ensure fast delivery of Cloud Services to our developers
• Provide through Automations means for developers to easily deploy resources on AWS

Tech Stack

• AWS:
  • VPC, EC2, ECS, EKS, Lambda, Cloudfront, MWAA, RDS, ElastiCache, DynamoDB, Opensearch, S3, CloudWatch, Cognito, SQS, KMS, Secret Manager, KMS, MSK, SES, Transfer Family, ClientVPN, Shield, WAF, GuardDuty, IAM Identity Center, Organization, WorkSpaces, CodeCommit, CodeBuild, CodeDeploy, CodePipeline, CloudFormation and other services
• Terraform, Github Actions, Prometheus, Grafana, Atlantis, ArgoCD, OpenTelemetry, Wiz, Backstage

Qualifications

• Looking 9+ years of technical and architectural experience in AWS-based infrastructure platforms
• Extensive technical hands-on experience with computing, networking, storage, and analytical services on Latest AWS Services
• Experience with Terraform based infrastructure as code (IAC) on AWS
• Experience in production level infrastructure change management and releases for high traffic & business-critical systems
• Experience in Cloud infrastructure and platform systems availability, performance and cost management
• Experience as an AWS administrator, including Multi AWS organization management, managing 50+ AWS accounts and 100+ users
• Strong understanding of cloud security best practices in Fintech Industry
• Demonstrated skill in programming and scripting languages, including Python, Shell Scripting, Go, and Rust
• Excellent oral, written, and interpersonal communication skills
• Proficiency in either English or Japanese

Preferred Qualifications

• Certified at the AWS Professional or Specialty level
• Experience in payment industry compliance standards such as PCI DSS 
• Bachelor’s degree and above in a Computer Science related field
• Experience with other cloud service providers (e.g GCP, Azure)
• Experience with Kubernetes (CKA, CKAD or CKS)
• Experience in AI/ML infrastructure design and operations
• ​​Experience using and contributing to Open Source tools
• Published papers / blogs / articles
• Bilingual in English and Japanese is nice to have, but not required
• JLPT Level 3 or above
• 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.
　　　

Location - Bangalore

Experience - 10 +yrs

Skills and Qualifications:

Experience in backend development with a strong focus on Java, Microservices ,Spring boot, Kafka and TDD.

Specialization in building Java Spring Boot microservices and integrating with databases, message brokers, api-gateways

• Good knowledge of fundamentals with hands-on experience in Java (Desirable for candidate to have knowledge on latest versions - Java 17 or later)
• Good Sql fundamentals and data persistence frameworks (For eg JPA, Hibernate, Spring Data JDBC, Jooq etc)
• Knowledge on database index optimization (for eg PostgreSQL) ensuring performance efficiency
• Good hands-on experience with Kafka, containerization technologies(For eg Docker), and Kubernetes
• Good hands-on experience with memory leak identification and performance tuning java microservices
• Test-driven development (Code Coverage / CI - Integration / CI - Acceptance / CI - Performance) experience and knowledge of automated test frameworks and tools
• Proven expertise in engineering scalable, robust and high-performance applications in on-prem and public cloud
• Good experience in drafting API design, building rest apis and good understanding of http, messaging protocols (JMS, Kafka etc)
• Good to have knowledge on integrating with aws services (For eg S3, SQS, SNS, Lambda etc)
• Knowledge of Infra as code tools like Terraform(Desirable)

Roles and Responsibilities

• Highly skilled engineer, specializing in building Java Spring Boot microservices and integrating with databases, message brokers, api-gateways etc
• Building high quality code, conducting code reviews, and ensuring adherence to best practices.
• Test-driven development experience and knowledge of automated test frameworks and tools
• Proven expertise in engineering and building scalable, robust, and high-performance applications in on-prem and public cloud
• Good hands-on experience with PostgreSQL, Kafka, containerization technologies, and Kubernetes. Experience on integrating with aws services is good to have
• Good experience on drafting API design, building rest apis and good understanding of http and other messaging protocols (JMS, Kafka etc)

Overview:  The Staff Engineer L6 will lead development for various Inovalon products and platforms, innovating to overcome current technology and bring in solutions which solve resiliency, scale, security in a completely different level.  This position brings subject matter expertise as a functional lead and is tasked with ensuring a high level of discipline and productivity.

Duties and Responsibilities:

• Design, build and maintain scalable data pipelines and access patterns related to Healthcare;
• Research, evaluate and utilize new technologies/tools/frameworks centered around high-volume data processing in AWS;
• Document and estimate technical scope and design as needed;
• Design and implement distributed data processing pipelines using tools and languages prevalent in the big data ecosystem;
• Involve and drive a culture of collaborative reviews of designs, code and test plans;
• Work with business stake holders and architecture engineering leads to ensure quality solutions are implemented and engineering standard methodologies adhered to;
• DevOps Focus – Utilize and advance continuous integration and deployment frameworks;
• Solve complex data issues and perform root cause analysis;
• Work across teams to resolve operational & performance issues;
• Provide strong technical leadership, raise the technical bar, maintain data and results-driven culture, nurture a team culture of high collaboration and trust;
• Communicate effectively and partner well with other disciplines of the project team to deliver high quality solutions from ideas to production code;
• Facilitate alignment and clarity across teams on goals, outcomes, and timelines;
• Influence and coach junior engineers both within and outside of your team; be a role model for an open, honest, and inclusive approach to problem solving;
• 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; and
• 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:

• Minimum of 15 years of IT experience with at least 2 years’ experience with public cloud (AWS) including serverless architecture and cloud warehousing solutions;
• Strong experience using managed services and Infrastructure as a service;
• Minimum of 6 years of strong experience with Big Data and related processing frameworks such as EMR, Spark, and Airflow;
• Strong programming experience in Python and Java/Scala preferred;
• Hands on coder who masters the concepts behind distributed databases, batch and stream processing;
• Experience in working with extremely large healthcare datasets, preferably in an architect/lead role;
• Strong familiarity with healthcare data formats including EDI and FHIR;
• Architect and code solutions for large-scale ETL pipelines with data processing frameworks and sourcing data from a diverse array of sources;
• Experience building microservices and event-based architectures;
• Experience with AWS Security Architecture including IAM, Security groups and policies;
• Hands on experience with Terraform and/or cloud formation;
• Experience building CI/CD pipelines in public cloud and creating a culture of automation;
• Experience leading and mentoring junior engineers;
• Experience working with scalable cloud-based data warehousing solutions such as Redshift, Snowflake;
• Systems engineering experience, including engineering, configuration, and management of Windows and Linux server environments;
• Prior Experience in migration of applications to AWS;
• Excellent oral and written communication skills;
• Excellent time management and problem-solving skills with the ability to adapt to changing business priorities and operational demands;
• Extensive knowledge of existing industry standards, technologies, and operational norms;
• An entrepreneurial spirit with a can-do attitude – a self-starter, project finisher and adaptive, collaborative; and
• Experienced in utilizing data and analysis to explain technical problems and providing detailed feedback and solutions.

Education:

• Bachelor's degree in computer science, Software Engineering, or Information Technology

Physical Demands and Work Environment:

• Sedentary work (i.e. sitting for long periods of time).
• Subject to inside environmental conditions.
• Travel for this position will include less than 10% locally usually for training purposes.

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:
  1. Work as part of a global, cross-functional team to build and operate innovative services/platforms for Inovalon applications.
  2. Take ownership of problems and continuously strive to become a better problem solver.
  3. Document technical solutions and articulate these solutions to architecture group and leadership.
  4. Implements complex features and contributes to architecture decisions within a team ensuring scalability, security, and maintainability.
  5. Collaborate effectively with cross-functional and partner teams to define project requirements.
  6. Troubleshoot and resolve complex system level stability or scalability issues.
  7. Design, implement, test, deploy and maintain innovative software solutions to drive services optimization, cost, and security.
  8. Write high quality distributed system software.
  9. Works closely with PMs, QA, and DevOps for delivery.
  Mentor junior engineers and provide code reviews to ensure quality.
  10. Apply Agile development principles to continuously deliver value and readily adapt to evolving requirements.
  11. Maintain code integrity and organization, ensuring the highest level of performance for both front-end and back-end code.
  12. Drive a results-oriented culture with a strong focus on engineering excellence, execution and propagate build for scale mindset.
  
  Job Requirements:
  1. Minimum 6-10 years’ experience in software development with demonstrated leadership in complex projects, leading design or architecture (design patterns, reliability, and scaling) of new or existing services/systems.
  2. Strong proficiency in .NET, C#, Angular and Aurelia - build and maintain backend services using .NET, C# and frontend components using Angular and Aurelia
  3. Hands-on experience with Azure services - deploy and manage applications on Azure, leveraging services like App Services, Storage Account/BLOB, Azure Automation, and SQL MI/Azure SQL Database.
  4. Expertise in Snowflake and SQL (query optimization, schema design) - work with Snowflake and SQL databases for data modeling, ETL processes, and query optimization.
  5. Hands-on experience with Selenium and/or Playwright for automated testing - implement automated UI and functional tests using Selenium and/or Playwright
  6. Proficient in JMeter and performance tuning techniques - use JMeter and other tools to conduct performance testing, identify bottlenecks, and optimize system throughput.
  7. Familiarity with CI/CD pipelines, IaaC/Terraform, Kubernetes, and Agile methodologies.
  8. Familiarity with Containers and Kubernetes will be a plus.
  9. Proven ability to lead technical initiatives and mentor team members.
  10. Strong knowledge of data structures, algorithms, and designing for performance, scalability, and availability.

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.

Overview:  The Staff Engineer L6 will lead development for various Inovalon products and platforms, innovating to overcome current technology and bring in solutions which solve resiliency, scale, security in a completely different level.  This position brings subject matter expertise as a functional lead and is tasked with ensuring a high level of discipline and productivity.

Duties and Responsibilities:

• Design, build and maintain scalable data pipelines and access patterns related to Healthcare;
• Research, evaluate and utilize new technologies/tools/frameworks centered around high-volume data processing in AWS;
• Document and estimate technical scope and design as needed;
• Design and implement distributed data processing pipelines using tools and languages prevalent in the big data ecosystem;
• Involve and drive a culture of collaborative reviews of designs, code and test plans;
• Work with business stake holders and architecture engineering leads to ensure quality solutions are implemented and engineering standard methodologies adhered to;
• DevOps Focus – Utilize and advance continuous integration and deployment frameworks;
• Solve complex data issues and perform root cause analysis;
• Work across teams to resolve operational & performance issues;
• Provide strong technical leadership, raise the technical bar, maintain data and results-driven culture, nurture a team culture of high collaboration and trust;
• Communicate effectively and partner well with other disciplines of the project team to deliver high quality solutions from ideas to production code;
• Facilitate alignment and clarity across teams on goals, outcomes, and timelines;
• Influence and coach junior engineers both within and outside of your team; be a role model for an open, honest, and inclusive approach to problem solving;
• 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; and
• 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:

• Minimum of 15 years of IT experience with at least 2 years’ experience with public cloud (AWS) including serverless architecture and cloud warehousing solutions;
• Strong experience using managed services and Infrastructure as a service;
• Minimum of 6 years of strong experience with Big Data and related processing frameworks such as EMR, Spark, and Airflow;
• Strong programming experience in Python and Java/Scala preferred;
• Hands on coder who masters the concepts behind distributed databases, batch and stream processing;
• Experience in working with extremely large healthcare datasets, preferably in an architect/lead role;
• Strong familiarity with healthcare data formats including EDI and FHIR;
• Architect and code solutions for large-scale ETL pipelines with data processing frameworks and sourcing data from a diverse array of sources;
• Experience building microservices and event-based architectures;
• Experience with AWS Security Architecture including IAM, Security groups and policies;
• Hands on experience with Terraform and/or cloud formation;
• Experience building CI/CD pipelines in public cloud and creating a culture of automation;
• Experience leading and mentoring junior engineers;
• Experience working with scalable cloud-based data warehousing solutions such as Redshift, Snowflake;
• Systems engineering experience, including engineering, configuration, and management of Windows and Linux server environments;
• Prior Experience in migration of applications to AWS;
• Excellent oral and written communication skills;
• Excellent time management and problem-solving skills with the ability to adapt to changing business priorities and operational demands;
• Extensive knowledge of existing industry standards, technologies, and operational norms;
• An entrepreneurial spirit with a can-do attitude – a self-starter, project finisher and adaptive, collaborative; and
• Experienced in utilizing data and analysis to explain technical problems and providing detailed feedback and solutions.

Education:

• Bachelor's degree in computer science, Software Engineering, or Information Technology

Physical Demands and Work Environment:

• Sedentary work (i.e. sitting for long periods of time).
• Subject to inside environmental conditions.
• Travel for this position will include less than 10% locally usually for training purposes.

The Role

We’re looking for a seasoned Staff Machine Learning Engineer to shape and scale the backbone of our production ML ecosystem. In this role, you will architect high-performing ML systems that power our geospatial intelligence platform, transforming large-scale satellite and aerial imagery into actionable insights. You’ll lead end-to-end ownership—from model deployment and MLOps to infrastructure design—while partnering closely with data science, platform engineering, and product teams to deliver reliable, scalable, and cost-efficient ML solutions. If you thrive at the intersection of deep technical expertise, system design, and cross-functional collaboration, this role is for you.

How you'll make an impact:

ML System Architecture & Production Deployment

• Design, build, and maintain end-to-end ML pipelines for batch processing of satellite and aerial imagery
• Deploy and scale ML models in production on AWS infrastructure, leveraging services like SageMaker, Bedrock,or custom-built solutions
• Implement MLflow for experiment tracking, model versioning, and model registry management
• Architect batch inference systems optimized for throughput and cost-efficiency
• Work with geospatial data formats and coordinate reference systems
• Collaborate with data scientists to transition models from research to production
• Partner with platform engineering to build scalable compute, GPU clusters, and storage layers

ML Operations & Reliability

• Implement comprehensive model monitoring systems to track performance degradation and data drift
• Design and execute canary deployments and A/B testing frameworks for safe model rollouts
• Build active learning pipelines to continuously improve model performance with minimal labeling effort
• Establish model evaluation frameworks and performance benchmarking processesCreate alerting and observability systems for production ML workloads

Technical Leadership

• Mentor ML engineers and data scientists on best practices for production ML
• Drive technical decision-making on ML infrastructure and tooling
• Collaborate with platform and data engineering teams to optimize the ML stack
• Establish engineering standards and contribute to architectural roadmaps

What we’re looking for:

• 5+ years of experience in machine learning engineering with 2+ years in a senior or lead capacity
• Proven track record deploying and maintaining ML systems in production using AWS services (SageMaker,Lambda, ECS/EKS, S3, etc.)
• Strong hands-on experience with tools like MLflow, WandB, or similar for experiment tracking and model management
• Deep expertise in image segmentation and computer vision techniques using frameworks like PyTorch or TensorFlow
• Production experience with ensemble models (xgboost, lightgbm, RF)

ML Operations Expertise

• Experience implementing model monitoring, drift detection, and alerting systems
• Hands-on experience with canary deployments, A/B testing and Shadow deployments for ML models
• Knowledge of active learning strategies and human-in-the-loop ML systems
• Strong understanding of model evaluation metrics, bias detection, and performance analysis

Technical Skills

• Expert-level Python programming with ML libraries (scikit-learn, PyTorch/TensorFlow, NumPy, pandas, etc)
• Experience with distributed batch processing frameworks (Airflow, Step Functions, Argo Workflows, Spark,Dask, Ray or similar)
• Proficiency with AWS ML ecosystem and infrastructure-as-code (Terraform, CloudFormation)
• Hands-on experience with dataset versioning tools such as DVC, LakeFS, Delta Lake, Quilt, or Pachyderm
• Strong software engineering fundamentals: unit/integration testing, CI/CD, version control, observability, designpatterns
• Experience with containerization (Docker, Kubernetes) for model deployment
• Good to have experience with ML Orchestration tools like Kubeflow, Vertex AI, etc
• Nice to have experience with GPUs: scheduling GPU jobs, optimizing GPU performance, memory profiling

We are proud to be an equal-opportunity employer. We are committed to embracing diversity and inclusion in our hiring practices, and we promote a work environment where everyone, from any race, color, religion, sex, sexual orientation, gender identity, or national origin, can do their best work.

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

CS DISCO is aimed at redefining the landscape of legal technology. Ultimately, we seek to enable lawyers to achieve more efficient, data-oriented, and fact-based legal outcomes. We started our journey as a company by focusing on the crucial 'discovery' phase of the legal process. One of our offerings, Ediscovery, focuses on enabling legal teams to achieve these outcomes with incredible efficiency.

The massive data proliferation over the last decades has revealed the limitations of many legal technology products, impacting the efficiency of legal practices. At CS DISCO, we strive to provide solutions to the legal domain that are magical. To do so requires the processing of large volumes of data at petabyte scale, with high availability, while maximizing performance, minimizing operations cost, and also ensuring data security, privacy, and sovereignty.

Our overarching mission is to create a unified technology platform for the practice of law. We envision a suite of products focused on delivering distinctly better legal outcomes with a minimum of human toil and cost. Our technology addresses the challenges of scale in data and enables legal teams to focus on the critical tasks that necessitate human legal judgment.

With a trajectory that has already seen substantial disruption in this market, our approach is underscored by a lawyer-inspired interface and a cloud-enabled technology platform, aiming for exemplary performance and cost efficiency. Thoughtful product planning and design are ingrained in our “product first” business ethos and culture, aligning with the broader objective of enhancing the practice of law through technology.

Your Impact

You will be a key contributor and responsible for both hands-on technical work to improve existing systems as well as guiding long-term evolutions in this space. You’ll be successful by ensuring that the product and its backend systems meet current and future functional and scaling demands. Through your contributions towards both implementation and system design, you will play a pivotal role in maintaining and evolving our software systems to meet the growing demands of our business, ensuring high availability and high performance.

What You'll Do

• Engage actively in coding, code reviews, and technical discussions, ensuring high-quality output.
• Lead the design, development, and maintenance of scalable, high-performance, easily modifiable distributed systems.
• Continuously enhance system performance, focusing on meeting customer needs using the best practices for designing scalable distributed systems.
• Share knowledge and mentor junior engineers, promoting a culture of technical excellence and continuous learning.
• Collaborate closely with cross-functional teams to translate business requirements into robust technical solutions.

Who You Are

• 10+ years of relevant experience in backend engineering, with a focus on building large scale, highly responsive, fault tolerant services in SaaS and cloud-based applications.
• Strong experience with building highly reliable, highly responsive services backed by relational and non-relational data stores.
• Demonstrated expertise in designing, implementing, and maintaining (through operational observability) highly available, high-performance, distributed systems.
• Proven ability to deliver well-crafted, tested, and maintainable code solutions to complex technical challenges.
• Experience with multiple software stacks, have opinions and preferences, but are not tightly coupled to a specific stack.
• You’ve delivered cloud native software solutions (including designing, implementing, and operational excellence).
• Experience in implementing RESTful APIs for outward-facing services and using gRPC for efficient internal service-to-service communication.

Even Better If You Have…

• Experience with designing, modifying, and operating multi-tenant systems.
• Familiarity with designing and developing from a security perspective with security best practices in system design and development.
• Demonstrated proficiency in multiple programming languages, including but not limited to Python and Kotlin/Java.
• Strategic level interaction with UI Developers.

Some Of Our Technology Stack

• Cloud Provider: AWS
• Persistence: Sql Datastore, Elasticsearch, and others
• Container Orchestration: ECS, Kubernetes
• Transport: gRPC, GraphQL
• Persistence: Elasticsearch, DynamoDB, PostgresQL, Redis
• Event Bus: Kafka
• Languages / Frameworks: Kotlin / Netflix DGS, Python / Flask, .NET
• IaC: Terraform

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