We are looking to speak to candidates who are based in Gurugram for our hybrid working model.

About the Role

We are looking for a Staff Integration Engineer (Workato & API Integration) to join our GTMTech team. This strategic role will lead the design, implementation, and governance of enterprise-grade integrations that power our core business processes across GTM systems, with a primary focus on Workato-based integrations and modern API management patterns.

You will own the architecture for critical integration domains such as Quote-to-Cash and other high-impact GTMTech programs, ensuring our integration landscape is scalable, secure, observable, and aligned with best practices for event-driven and API-first designs. You will partner with engineering, architecture, security, and business stakeholders to define standards, mentor other integration engineers, and drive continuous improvement in how we connect systems and data.

The GTMTech team is focused on high-impact, large-scale technology programs, such as Quote-to-Cash. Our mission is to enhance company efficiency, boost profitability, and enable data-driven decision-making by streamlining systems, optimizing processes, and minimizing manual, low-value work through automation and AI.

Key Responsibilities

• Lead the end-to-end architecture, design, and implementation of Workato-based integrations and APIs across GTM systems (e.g., Salesforce, NetSuite, HRIS, Google Workspace) with a focus on scalability, reliability, and security
• Define and evolve integration standards, patterns, and best practices, including canonical integration patterns, error-handling strategies, observability, and operational runbooks
• Design and review complex, event-driven integration workflows leveraging technologies such as Kafka or equivalent messaging platforms, ensuring robust handling of topics, producers/consumers, durability, and retry mechanisms
• Drive API-first and MCP-native design for GTM integrations, leveraging RESTful APIs alongside MCP-based interfaces and AI-driven services, including robust authentication and authorization (OAuth2, JWT), versioning, lifecycle management, and integration with API management platforms such as Apigee or similar
• Translate ambiguous, cross-functional business requirements into well-structured technical designs, evaluating multiple solution approaches and recommending the best fit for scalability, extensibility, and long-term maintainability.
• Provide technical leadership and mentorship to other integration engineers—coaching on Workato concepts (callable recipes, event streams, task optimization), API design, and integration patterns, and performing design and code reviews
• Partner closely with GTM, Finance, Data, and Security teams to align integration designs with data governance, compliance, and audit requirements, including CI/CD practices and environment strategies for Workato and associated services
• Establish and enforce non-functional requirements (NFRs) for integrations (performance, resiliency, observability, security), and ensure they are met through design, testing, and monitoring
• Troubleshoot and resolve complex issues spanning multiple systems and environments by performing deep root-cause analysis and driving long-term corrective actions in partnership with system owners
• Conduct POCs to validate technology or pattern choices (e.g., new Workato features, API capabilities, event streaming approaches) and guide the team on when and how to adopt them
• Participate in and help mature the on-call and support rotation for integrations, ensuring robust incident response, escalation, and communication practices
• Champion and role model MongoDB’s culture principles—Think Big, Make it Happen, Build Together, and Be Intellectually Honest—while driving high standards for technical excellence and operational rigor within GTMTech.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, with 10+ years of enterprise integration experience, including significant time in lead/architect roles
• At least 5 years of hands-on experience designing and delivering complex, enterprise-grade integration solutions using Workato, with deep understanding of the platform beyond low-code/no-code capabilities (e.g., advanced recipes, callable recipes, event streams, Workato SDK, task optimization, governance)
• Strong experience operating Workato in production at scale, including environment strategy, deployment automation, observability and monitoring, logging, and robust debugging in multi-system landscapes
• Solid understanding of event-driven architectures and messaging technologies such as Kafka or equivalents, including topics, producers/consumers, message durability, failure handling, and retry strategies
• Proficient with Workato connectors (including but not limited to Salesforce, NetSuite, HRIS, and Google Workspace), coupled with strong scripting skills (e.g., Python or Ruby) for advanced transformations and custom logic when required
• Demonstrated experience defining and enforcing integration standards, patterns, and NFRs across teams, including performance, scalability, security, and operability benchmarks
• Excellent analysis and system design capabilities, with a focus on system interactions, data flows, scalability, performance, and mapping complex business requirements into elegant, maintainable technical solutions
• Strong troubleshooting skills across diverse technologies and environments, with the ability to quickly isolate issues and drive cross-functional teams toward resolution
• Ability to mentor and upskill teammates, lead design and architecture reviews, and influence stakeholders through clear communication and well-reasoned recommendations
• Comfortable working in a fast-paced, highly collaborative, and hybrid environment, and open to occasional travel as needed for key workshops or stakeholder engagements.

Success Measures

In 3 months, you will have:

• Gained a deep understanding of the GTMTech integration landscape, including key Workato recipes, APIs, and event streams across Quote-to-Cash and adjacent domains
• Ownership of at least one critical integration domain, stabilizing existing integrations and addressing high-priority issues or technical debt.

In 6 months, you will have:

• Designed and delivered high-quality, scalable integration solutions (recipes/flows and APIs) for key GTMTech initiatives, with measurable improvements in reliability, performance, and observability
• Established or refined integration standards and NFR guidelines (including SLAs/SLOs, error-handling patterns, and monitoring dashboards) and gained adoption across the GTMTech integration team
• Led design reviews and architecture discussions for new integration initiatives, ensuring alignment with event-driven and API-first strategies and influencing technology choices where appropriate.

In 12 months and beyond, you will have:

• Become the go-to integration and API architecture leader for GTMTech, recognized for your ability to decompose complex business problems into scalable integration designs and to guide teams toward high-quality implementations
• Demonstrated a track record of proactively identifying integration risks, performance bottlenecks, and architectural gaps, and leading cross-functional efforts to address them with durable solutions
• Played a central role in elevating the overall maturity of GTMTech integrations—improving uptime, reducing incidents, shortening time-to-recovery, and increasing development velocity through better tooling, patterns, and governance
• Championed MongoDB’s culture principles within GTMTech, mentoring engineers, shaping interview and hiring standards for integration roles, and contributing to a high-performing, inclusive team culture

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.

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.
     

Get to Know our Team:  

In Agoda’s Back End Engineering department, we build the scalable, fault-tolerant systems and APIs that host our core business logic. Our systems cover all major areas of our business: inventory and pricing, product information, customer data, communications, partner data, booking systems, payments, and more. These mission-critical systems change frequently with dozens of releases per day, so we must employ state-of-the-art CI/CD and testing techniques in order to make sure everything works without any downtime. We also ensure that our systems are self-healing, responding gracefully to extreme loads or unexpected input. In order to accomplish this, we use state-of-the-art languages like Scala and Go, data technologies like Kafka and Aerospike, and agile development practices. Most importantly though, we hire great people from all around the world and empower them to be successful. Whether it’s building new projects like Flights and Packages or reimagining our existing business, you’ll make a big impact as part of the Back End Engineering team.

The Opportunity:      

Agoda is hiring experienced Software Developers to work on high-scale, mission-critical systems focused on the design and development of APIs that support millions of user search requests each day. This role is ideal for engineers who enjoy solving complex technical challenges, building reliable distributed systems, and influencing architecture at scale.

In this Role, you'll get to

• Lead the development of product features, experiments, technical initiatives, and complex systems.
• Act as a technical leader by shaping architecture decisions, mentoring engineers, and guiding technology choices.
• Continuously improve system architecture and drive better software design and engineering practices.
• Play a key role in strengthening agile and scrum ways of working.
• Collaborate closely with backend, client-side, and infrastructure teams to deliver the best technical solutions.
• Proactively identify opportunities to enhance products, code quality, and development processes.
• Write high-quality, maintainable code while supporting others in doing the same.
• Influence and drive important technical decisions across the organization.

What You’ll Need to Succeed 

• 10+ years of experience building performance-critical applications in production environments using Scala, Java, Kotlin, Python, Go, or C#
• Proven experience leading projects, technical initiatives, and/or engineering teams, with full ownership of the systems involved
• Hands-on experience with data platforms such as SQL, Cassandra, or Hadoop, and a solid understanding of selecting the right data solution for different application needs
• Strong knowledge of algorithms and data structures
• Demonstrated excellence in software development and coding
• A proven ability to improve team productivity and effectiveness through KPI-driven engineering practices
• Strong software architecture skills, with experience driving architectural decisions within a team
• A passion for software craftsmanship, continuous learning, and engineering excellence
• Excellent written and verbal English communication skills

It’s Great If You Have 

• Experience with Scrum/Agile development methodologies
• Experience building large-scale distributed products
• Core engineering infrastructure tools like Git for source control, TeamCity for Continuous Integration and Puppet for deployment
• Hands-on experience working with technology like queueing systems (Kafka, RabbitMQ, ActiveMQ, MSMQ), Spark, Hadoop, NoSQL (Cassandra, MongoDB), Play framework, Akka library  

 #india #newdelhi #Bangalore #Pune #Hyderabad #Chennai #Kolkata #Lucknow #IT #ENG #4 #Mumbai #Delhi #Noida

Get to Know our Team: 

In Agoda’s Back End Engineering department, we build the scalable, fault-tolerant systems and APIs that host our core business logic. Our systems cover all major areas of our business: inventory and pricing, product information, customer data, communications, partner data, booking systems, payments, and more. These mission-critical systems change frequently with dozens of releases per day, so we must employ state-of-the-art CI/CD and testing techniques in order to make sure everything works without any downtime. We also ensure that our systems are self-healing, responding gracefully to extreme loads or unexpected input. In order to accomplish this, we use state-of-the-art languages like Scala and Go, data technologies like Kafka and Aerospike, and agile development practices. Most importantly though, we hire great people from all around the world and empower them to be successful. Whether it’s building new projects like Flights and Packages or reimagining our existing business, you’ll make a big impact as part of the Back End Engineering team.

The Opportunity:    

Agoda is seeking experienced Software Engineers to design and build mission-critical APIs and backend systems that handle millions of user search requests every day. This is an exciting opportunity to work on large-scale distributed systems, shape technical direction, and help build reliable software that supports Agoda’s global platform.

In this Role, you'll get to      

• Lead the development of product features, experiments, technical initiatives, and complex systems.
• Act as a technical leader by shaping architecture decisions, mentoring engineers, and guiding technology choices.
• Continuously improve system architecture and drive better software design and engineering practices.
• Play a key role in strengthening agile and scrum ways of working.
• Collaborate closely with backend, client-side, and infrastructure teams to deliver the best technical solutions.
• Proactively identify opportunities to enhance products, code quality, and development processes.
• Write high-quality, maintainable code while supporting others in doing the same.
• Influence and drive important technical decisions across the organization.

What You’ll Need to Succeed

• 7+ years of experience building and maintaining performance-critical applications in production environments using Scala, Java, or C#.
• Proven experience leading projects, technical initiatives, and/or teams, with end-to-end ownership of systems.
• Familiarity with data platforms such as SQL, Cassandra, or Hadoop, with a solid understanding of how different use cases require different data solutions.
• Strong foundation in algorithms and data structures.
• Excellent coding and problem-solving skills.
• Genuine passion for software engineering, with a continuous desire to learn and improve.
• Strong verbal and written communication skills in English.

It’s Great If You Have  

• Experience working in Scrum or Agile environments.
• Experience building large-scale distributed systems or products.
• Familiarity with core engineering tools such as Git, TeamCity, and Puppet.
• Hands-on experience with technologies such as Kafka, RabbitMQ, ActiveMQ, MSMQ, Spark, Hadoop, Cassandra, MongoDB, Play Framework, or Akka.

 #india #newdelhi #Bangalore #Bengaluru #Pune #Hyderabad #Chennai #Kolkata #Lucknow #IT #ENG #4 #Mumbai #Delhi #Noida

Get to Know our Team: 

In Agoda’s Back End Engineering department, we build the scalable, fault-tolerant systems and APIs that host our core business logic. Our systems cover all major areas of our business: inventory and pricing, product information, customer data, communications, partner data, booking systems, payments, and more. These mission-critical systems change frequently with dozens of releases per day, so we must employ state-of-the-art CI/CD and testing techniques in order to make sure everything works without any downtime. We also ensure that our systems are self-healing, responding gracefully to extreme loads or unexpected input. In order to accomplish this, we use state-of-the-art languages like Scala and Go, data technologies like Kafka and Aerospike, and agile development practices. Most importantly though, we hire great people from all around the world and empower them to be successful. Whether it’s building new projects like Flights and Packages or reimagining our existing business, you’ll make a big impact as part of the Back End Engineering team.

The Opportunity:    

Agoda is looking for developers to work on mission critical systems that deal with the designing and development of APIs that serve millions of user search requests a day.

In this Role, you'll get to      

• Lead development of features, experiments, technical projects and complex systems 
• Be a technical architect, mentor, and driver towards the right technology 
• Continue to evolve our architecture and build better software
• Be a major contributor to our agile and scrum practices 
• Get involved with software engineering and collaborate with server, other client, and infrastructure technical team members to build the best solution
• Constantly look for ways to improve our products, code-base and development practices 
• Write great code and help others write great code
• Drive Technical decisions in the organization.

What You’ll Need to Succeed

• At least 7+ years’ experience under your belt developing performance-critical applications that run in a production environment using Scala, Java or C#.
• Experience in leading projects, initiatives and/or teams, with full ownership of the systems involved
• Data platforms like SQL, Cassandra or Hadoop. You understand that different applications have different data requirements
• Good understanding of algorithms and data structures
• Strong coding ability
• You are passionate about the craft of software development and constantly work to improve your knowledge and skills
• Excellent verbal and written English communication skills

It’s Great If You Have  

• Experience with Scrum/Agile development methodologies
• Experience building large-scale distributed products
• Core engineering infrastructure tools like Git for source control, TeamCity for Continuous Integration and Puppet for deployment
• Hands-on experience working with technology like queueing systems (Kafka, RabbitMQ, ActiveMQ, MSMQ), Spark, Hadoop, NoSQL (Cassandra, MongoDB), Play framework, Akka library  

 #india #newdelhi #Bangalore #Bengaluru #Pune #Hyderabad #Chennai #Kolkata #Lucknow #IT #ENG #4 #Mumbai #Delhi #Noida

About the Role:

We’re looking for a team player with excellent interpersonal skills & service oriented. Creative & out of the box thinker. An autodidact, quick, effective and versatile who’s able to change directions in midstream. Independent & Accountable.

What you’ll be spending your time on

• Create and maintain CI/CD pipelines for the company's products
• Building and maintaining high-performance, fault tolerant, scalable ALM system, from Version control, Builds and Deployments to Monitoring and configuration management
• Maintain the application layer of our public cloud and private cloud
• Develop and integrate infrastructure tools in support of our production system
• Automate the Provisioning and configuration of Windows/Linux environments
• Work closely with product, QA, developers and IT/operations departments to streamline their working methods
• As a core member of the team, you will participate in 'On-Call' duties on Payoneer production systems, working in non-conventional hours include weekends and holidays (from time to time)

Have you done this kind of stuff?

• BS degree in computer science, computer engineering, relevant technical discipline or equivalent practical experience
• At least 6 years’ experience as DevOps Engineer
• A minimum of 5 years of exposure running production workloads (AWS, Azure or GCP)
• Microservices architecture & container orchestration (Docker and Kubernetes)
• Experience with CI/CD tools and source control management tools (e.g., Git, Azure DevOps, SonarQube, Artifactory etc...)
• Experience with GitOps (e.g., ArgoCD or Flux)
• Experience with Configuration Managements tools like Chef, Ansible or Puppet
• Proven Scripting capabilities: PowerShell/Bash/Python
• High level Linux OS expertise
• Programming experience skills (C#, NodeJS - advantage)
• Experience managing application servers and web servers
• Strong troubleshooting skills
• Experience with monitoring and logging solutions (e.g. Prometheus, Grafana and ELK)
• Proactive by nature; internal drive for excellence and improvement

Not a must but a great advantage

• Experience in SQL
• Experience with software development and development frameworks
• Experience with event streaming and messaging platforms such as Kafka, RabbitMQ…
• Provisioning and operating NoSQL databases such as MongoDB, Redis, Elasticsearch …
• Knowledge and understanding Storage and Networking

#LI-PG1

Job Overview 

We are looking for a bright and exceptional Engineering Lead to join our Technology team. In this role, you will work closely with Product Managers, Subject Matter Experts, Data Scientists and Software Engineers to design, build, and optimize scalable data pipelines for our Data Platform. The ideal candidate has strong hands-on experience in distributed data processing, expertise in architecting Data Pipelines and operational skills to drive efficiency and speed.

Key Responsibilities:

• Work closely with the product and other teams to understand business requirements and translate them into robust engineering solutions.
• Architect, build and maintain data solutions and pipelines to meet business requirements.
• Engage and lead a team of talented technologists and establishing engineering best practices.
• Act as a point of contact for managing and driving production defects & stability improvements to resolution
• Oversee end-to-end data workflows from ingestion, transformation, and storage to data lake in both batch and streaming environments.
• Drive improvements in performance, reliability, and scalability of data pipelines 

Required Skills & Qualifications:

• A bachelor’s degree in computer science, Math, or other technical fields with 6-8 years of experience, Fintech domain is a plus.
• Demonstrated contribution to end-to-end delivery of enterprise-grade software
• Experience on Data Engineering, Data Lakes, Data Warehousing, Data Pipelines, Data Analytics tools.
• Experience using open-source Big Data technologies such as Spark, Hadoop, Elasticsearch, Kafka.
• Hands-on experience in enterprise application development
• Strong SQL skills and experience working with relational and NoSQL databases.
• Experience in cloud technologies is a plus
• Demonstrates advanced proficiency in Python for building scalable data pipelines, automating workflows
• Experience building scalable ETL/ELT data pipelines and data lakes/warehouses.
• Familiarity with workflow orchestration tools (Airflow, ADF, Glue Workflow, etc.).
• Solid understanding of CI/CD, version control, and DevOps practices.
• Experience working in agile, collaborative environments.
• Attention to detail and quality, and the ability to work well in and across teams
• Ability to advocate & influence multiple stakeholders
• Excellent problem-solving, communication, and leadership skills.
• Experience in leading a team of highly skilled engineers

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

Job Title: Senior Full Stack Machine Learning Engineer

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. We are looking for a talented and experienced Senior Full Stack Machine Learning Engineer to join our dynamic team.

Job Description:

• As a Senior Full Stack Machine Learning Engineer, you will play a pivotal role in designing, developing, and deploying machine learning models that drive our healthcare solutions. You will work closely with data scientists, software engineers, and product managers to build scalable and robust machine learning systems. Your expertise will help us transform healthcare data into actionable insights, ultimately improving patient care and operational efficiency.

Key Responsibilities:

• Model Development: Design, implement, and optimize machine learning models for various healthcare applications, including predictive analytics, natural language processing, and generative AI.
• End-to-End Deployment: Develop and maintain the full lifecycle of machine learning solutions, from data preprocessing and model training to deployment and monitoring in production environments.
• Data Engineering: Collaborate with data engineers to build and maintain data pipelines, ensuring the availability of high-quality data for training and inference.
• Software Development: Write clean, efficient, and maintainable code for machine learning applications, ensuring seamless integration with existing systems.
• Performance Optimization: Continuously monitor and improve the performance of machine learning models and systems, addressing issues related to scalability, latency, and accuracy.
• Collaboration: Work closely with cross-functional teams to understand business requirements and translate them into technical solutions.
• Mentorship: Provide guidance and mentorship to junior engineers, fostering a culture of continuous learning and innovation.

Qualifications:

• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field. Ph.D. is a plus.
• Experience: Minimum of 5 years of experience in machine learning, with a proven track record of deploying models in production environments.

Technical Skills:

• Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Proficiency in building applications leveraging generative AI technologies which includes LLM’s, prompt engineering, Vector Databases, RAG architectures and transfer learning is a plus.
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes).
• Strong knowledge of data structures, algorithms, and software engineering best practices.
• Familiarity with big data technologies (e.g., Hadoop, Spark) and data pipeline tools (e.g., Airflow, Kafka).
• Experience with frontend and backend development, including frameworks such as React, Node.js, and Django.

Domain Knowledge: Understanding of healthcare data standards (e.g., HL7, FHIR) and regulations (e.g., HIPAA) is a plus.

Soft Skills:

• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.
• Ability to work independently and as part of a team in a fast-paced environment.

What We Offer:

• Competitive salary and benefits package.
• Opportunity to work on impactful projects that improve healthcare outcomes.
• Collaborative and innovative work environment.
• Professional development and growth opportunities.
• Flexible work arrangements, including hybrid and remote options.

Join us in our mission to transform healthcare through technology! We look forward to hearing from you.

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.

Team Description 

As part of the ADO Platform Enablement team under GPTO Engineering, you’ll report to the Sr. Director Engineering. This team is accountable for shaping enterprise data architecture, enabling high-performance AI-driven workloads, and acting as a technical bridge between engineering and architecture. 

Your Impact 

Team Leadership & Development 

• Build, mentor, and scale a high-performing engineering team based on actual demand and delivery needs 

• Provide hands-on coaching and guidance to Principal Engineers and team members, fostering technical excellence and career growth 

• Quickly establish trust with team members, peers, and stakeholders through authentic engagement and delivery 

• Champion engineering culture that balances pragmatic delivery with sustainable practices 

Delivery Excellence 

• Drive fast-paced, continuous delivery practices—leading the transformation from monthly to daily release cycles 

• Balance process rigor with delivery velocity; know when documentation adds value and when it creates friction 

• Apply and evangelize proper use of DORA metrics to measure and improve team performance 

• Ensure platform capabilities for data processing, AI, and developer acceleration ship reliably and on schedule 

• Take ownership of delivery outcomes; work proactively with Product Management without waiting for perfect requirements 

Technical Strategy & Collaboration 

• Partner closely with architects to align implementation patterns with long-term technical direction 

• Create clear, compelling strategy papers, roadmaps, and presentations for technical and executive audiences 

• Collaborate across globally distributed teams with awareness of time zone considerations and asynchronous work patterns 

• Guide teams in embedding AI/ML features—prompt engineering, model inference, feature pipelines—into platform services 

• Contribute to technical planning, architecture decisions, and incident retrospectives 

Platform & Product Mindset 

• Apply product thinking to platform solutions, ensuring they meet real business and customer needs 

• Champion innovation in performance, tooling, and platform capabilities 

• Oversee design and delivery of full stack solutions spanning React, Java, and Python 

• Facilitate cross-functional collaboration across engineering, product, and architecture 

Your Qualifications 

Leadership & Management 

• 10+ years of software engineering experience with 5+ years in engineering management or technical leadership 

• Proven track record managing teams through significant process transformations (e.g., monthly to daily releases) 

• Experience managing both technical leads/Principal Engineers and individual contributors 

• Demonstrated ability to scale teams thoughtfully based on demand, not politics 

Technical Depth 

• Strong software development background with hands-on experience in platform, infrastructure, or data-centric environments 

• Deep expertise in event-driven architectures, streaming technologies (e.g. Apache Kafka, Flink, and/or Pulsar) 

• Proficiency across full stack technologies (Java, .Net, React) with ability to guide technical decisions 

• Knowledge of hybrid/cloud-agnostic infrastructure, CI/CD, GitOps, and continuous delivery workflows 

Delivery & Process 

• Pragmatic approach to balancing process, documentation, and speed of delivery 

• Deep understanding of DORA metrics and their proper application to drive improvement 

• Experience leading high-velocity engineering organizations with daily release cadence 

• Skilled at change management and cultural transformation in engineering teams 

Communication & Collaboration 

• Exceptional communication skills—written and verbal—with ability to influence across all levels 

• Experienced creating executive-level strategy documents, roadmaps, and presentations 

• Comfortable working with globally distributed teams across multiple timezones 

• Strong collaborative partnership with Product Management; proactive problem-solving mindset 

Preferred Skills 

• Track record of building trust rapidly in new environments 

• Passion for technical mentorship and elevating team capabilities 

• Experience scaling systems and teams under high throughput demands 

• Ability to navigate ambiguity and drive delivery without perfect information 

• Comfort with asynchronous collaboration and remote team dynamics 

• Experience in hybrid engineering-management roles (player-coach background) 

Team Description 

As part of the ADO team under GPTO Engineering, you’ll report to the Sr. Director Engineering. This team is accountable for Quality/Performance assuring enterprise data architecture, enabling high-performance AI-driven workloads, and acting as a technical bridge between engineering and architecture. 

Your Impact 

Team Leadership & Development 

• Build, mentor, and scale a high-performing engineering team based on actual demand and delivery needs 

• Provide hands-on coaching and guidance to Principal Engineers and team members, fostering technical excellence and career growth 

• Quickly establish trust with team members, peers, and stakeholders through authentic engagement and delivery 

• Champion engineering culture that balances pragmatic delivery with sustainable practices 

Delivery Excellence 

• Drive fast-paced, continuous delivery practices—leading the transformation from monthly to daily release cycles 

• Balance process rigor with delivery velocity; know when documentation adds value and when it creates friction 

• Apply and evangelize proper use of DORA metrics to measure and improve team performance 

• Ensure platform capabilities for data processing, AI, and developer acceleration ship reliably and on schedule 

• Take ownership of delivery outcomes; work proactively with Product Management without waiting for perfect requirements 

Technical Strategy & Collaboration 

• Partner closely with architects to align implementation patterns with long-term technical direction 

• Create clear, compelling strategy papers, roadmaps, and presentations for technical and executive audiences 

• Collaborate across globally distributed teams with awareness of time zone considerations and asynchronous work patterns 

• Guide teams in embedding AI/ML features—prompt engineering, model inference, feature pipelines—into platform services 

• Contribute to technical planning, architecture decisions, and incident retrospectives 

Platform & Product Mindset 

• Apply product thinking to platform solutions, ensuring they meet real business and customer needs 

• Champion innovation in performance, tooling, and platform capabilities 

• Oversee design and delivery of full stack solutions spanning React, Java, and Python 

• Facilitate cross-functional collaboration across engineering, product, and architecture 

Your Qualifications 

Leadership & Management 

• 10+ years of software engineering experience with 5+ years in engineering management or technical leadership 

• Proven track record managing teams through significant process transformations (e.g., monthly to daily releases) 

• Experience managing both technical leads/Principal Engineers and individual contributors 

• Demonstrated ability to scale teams thoughtfully based on demand, not politics 

Technical Depth 

• Strong software development background with hands-on experience in platform, infrastructure, or data-centric environments 

• Deep expertise in event-driven architectures, streaming technologies (e.g. Apache Kafka, Flink, and/or Pulsar) 

• Proficiency across full stack technologies (Java, .Net, React) with ability to guide technical decisions 

• Knowledge of hybrid/cloud-agnostic infrastructure, CI/CD, GitOps, and continuous delivery workflows 

Delivery & Process 

• Pragmatic approach to balancing process, documentation, and speed of delivery 

• Deep understanding of DORA metrics and their proper application to drive improvement 

• Experience leading high-velocity engineering organizations with daily release cadence 

• Skilled at change management and cultural transformation in engineering teams 

Communication & Collaboration 

• Exceptional communication skills—written and verbal—with ability to influence across all levels 

• Experienced creating executive-level strategy documents, roadmaps, and presentations 

• Comfortable working with globally distributed teams across multiple timezones 

• Strong collaborative partnership with Product Management; proactive problem-solving mindset 

Preferred Skills 

• Track record of building trust rapidly in new environments 

• Passion for technical mentorship and elevating team capabilities 

• Experience scaling systems and teams under high throughput demands 

• Ability to navigate ambiguity and drive delivery without perfect information 

• Comfort with asynchronous collaboration and remote team dynamics 

• Experience in hybrid engineering-management roles (player-coach background) 

Get to Know our Team:  

In Agoda’s Back End Engineering department, we build the scalable, fault-tolerant systems and APIs that host our core business logic. Our systems cover all major areas of our business: inventory and pricing, product information, customer data, communications, partner data, booking systems, payments, and more. These mission-critical systems change frequently with dozens of releases per day, so we must employ state-of-the-art CI/CD and testing techniques in order to make sure everything works without any downtime. We also ensure that our systems are self-healing, responding gracefully to extreme loads or unexpected input. In order to accomplish this, we use state-of-the-art languages like Scala and Go, data technologies like Kafka and Aerospike, and agile development practices. Most importantly though, we hire great people from all around the world and empower them to be successful. Whether it’s building new projects like Flights and Packages or reimagining our existing business, you’ll make a big impact as part of the Back End Engineering team.

The Opportunity:      

Agoda is looking for developers to work on mission critical systems that deal with the designing and development of APIs that serve millions of user search requests a day.

In this Role, you'll get to

• Lead development of features, experiments, technical projects and complex systems 
• Be a technical architect, mentor, and driver towards the right technology 
• Continue to evolve our architecture and build better software
• Be a major contributor to our agile and scrum practices 
• Get involved with software engineering and collaborate with server, other client, and infrastructure technical team members to build the best solution
• Constantly look for ways to improve our products, code-base and development practices 
• Write great code and help others write great code
• Drive Technical decisions in the organization.

What You’ll Need to Succeed 

• At least 10+ years’ experience under your belt developing performance-critical applications that run in a production environment using Scala, Java, Kotlin, Python, Go, or C#. 
• Experience in leading projects, initiatives and/or teams, with full ownership of the systems involved 
• Data platforms like SQL, Cassandra or Hadoop. You understand that different applications have different data requirements 
• Good understanding of algorithms and data structures 
• Demonstrated strong coding ability. 
• Proven track record of enhancing team productivity and effectiveness through a KPI-driven approach. 
• Strong architectural skills, actively driving architectural decision-making within the team. 
• You are passionate about the craft of software development and constantly work to improve your knowledge and skills 
• Excellent verbal and written English communication skills 

It’s Great If You Have 

• Experience with Scrum/Agile development methodologies
• Experience building large-scale distributed products
• Core engineering infrastructure tools like Git for source control, TeamCity for Continuous Integration and Puppet for deployment
• Hands-on experience working with technology like queueing systems (Kafka, RabbitMQ, ActiveMQ, MSMQ), Spark, Hadoop, NoSQL (Cassandra, MongoDB), Play framework, Akka library  

 #india #newdelhi #Bangalore #Pune #Hyderabad #Chennai #Kolkata #Lucknow #IT #ENG #4 #Mumbai #Delhi #Noida

We're looking for a Seasoned Engineering Leader/ Engineering Manager to lead and build higher-performing teams with a drive for excellence and an out-of-the-box mindset to satisfy business needs in a complex payment solution environment.

Responsibilities:

• Collaborate closely with Product, Design/UX, DevOps, and other R& D teams.
• Lead an autonomous team of software engineers who are working closely with product management to achieve business goals.
• Put special focus on developing the team.
• Provide technical authority to your team by demonstrating a hands-on leadership style.
• Be responsible for the overall design, development, architecture, code quality, and production environment deployment of your team.

Requirements:

• 7 + years of experience as a software technocrat,using C#, Nodejs or any OOP Language, REST APIs, webhooks, and asynchronous communication with Queues/Streams (RabbitMQ and Kafka).
• 2+ years of experience with observability systems (Dynatrace, Grafana, etc. )
• 2+ years of managerial experience, leading development of customer-facing products- a must!
• Experience with messaging queues or streams such as RabbitMQ/SQS/Kafka.
• Broad knowledge of OOP and design patterns.
• Experience with Microservices.
• Experience in engineering best practices (writing unit tests, code reviews, testing coverage, agile methodologies).
• Team player attitude and mentality.
• Experienced and passionate about managing and growing people.
• Ambitious and eager to learn new things.

Not a must, but a great advantage:

• Experience with Redis or similar.
• Experience with ORM such as Entity Framework.
• Experience in building SaaS platforms in a cloud-based/hybrid environment.

Location: Gurugram - India 
Full-time

What You’ll Be Spending Your Time On:

• Take a leadership role in achieving team goals, contributing to the overall design, architecture, development, quality, and production deployment of the team's systems
• Design and implement robust, scalable, and maintainable backend solutions for complex scenarios, ensuring high-quality results that may be consumed by other teams. 
• Collaborate effectively within your team and with cross-functional partners, such as Product, Design/UX, DevOps, and other R&D teams, representing your team as needed. 
• Maintain and improve the team's engineering practices, suggesting and implementing technology, patterns, or process enhancements. 
• Proactively identify areas of improvement in team systems, processes, and scalability. 
• Lead by example in code quality, contributing significantly to code reviews and acting as a focal point for engineering excellence questions. 
• Help monitor production systems, investigate potential issues, and lead efforts to resolve critical production challenges while maintaining a customer-centric approach. 

Have You Done This Kind of Stuff:

• 4 - 6 years in backend software engineering roles, with demonstrated ability to navigate technical trade-offs and ambiguity effectively. 
• Extensive experience in C# and .Net ecosystem is a mandatory requirement. 
• Hands-on experience in SQL Server and database management 
• Experience with message queues or streaming platforms (e.g., RabbitMQ, SQS, Kafka). 
• Experience in writing unit test and strong knowledge of design principles, data structures and algorithms. 
• Experience with microservices architecture. 
• Experience in designing new functionality for existing complex components while maintaining scalability and performance. 
• Ability to collaborate effectively and communicate technical concepts to diverse stakeholders. 
• BSc/BE/B.Tech in Computer Science, Software Engineering, or equivalent degree 

Not a Must, but a Great Advantage:

• Practical experience with Agile development methodologies. 
• Familiarity with cloud platforms (AWS, Azure, or Google Cloud). 
• Practical knowledge of non-relational databases (eg. MongoDB) 
• Experience in mentoring new hires and interns, fostering a culture of collaboration and best practices.

#LI-AK1

Your Impact

The Senior Software Engineer is responsible for project subsystems. They lead epics/initiatives, mentor more junior engineers, and contribute to architectural
decisions. They have a substantial impact on their team and, at times, across teams. They design and develop high-quality, scalable, and innovative software solutions in a SaaS environment, utilising cutting-edge technologies and methodologies, and ensuring they meet the current and future needs of the business and its customers

What You'll Do

• Technical Leadership and Mentorship: Provides technical leadership in project teams, mentors and guides more junior engineers, and contributes to technical decision-making.
• Performance Optimisation: Focuses on designing systems for high performance, scalability, and reliability.
• Stakeholder Engagement: Works with stakeholders, including product managers, designers, developers, and executives, to align architectural designs with business needs and customer expectations.
• Proficient Software Development: Designs, develops, and maintains sophisticated software solutions, ensuring they are efficient, scalable, and meet business requirements with architectural excellence. Responsible for System Design & Grooming for features for a subsystem.
• Code Quality and Optimisation: Upholds and enhances code quality through rigorous review processes, optimisation techniques, and adherence to best practices.
• Technical Problem Solving: Tackles complex technical challenges, employing a problem-solving approach with innovative solutions.
• Collaboration and Communication: Works effectively within the engineering team and cross-functional teams, collaborating with other engineering teams, product managers, and stakeholders, contributing to project planning and execution.
• Continuous Learning and Adaptation: Stays updated with the latest technology trends and advancements, continually enhancing skills and knowledge, bringing innovative ideas to the team
• Technical Documentation: Creates and maintains comprehensive technical documentation, ensuring clarity and accessibility of information.
• Data Platform Development: Designs, builds, and maintains scalable and robust data platforms to support analytics, machine learning, and business intelligence.
• Data Integration and ETL: Develops and optimises ETL (Extract, Transform, Load) processes and data integration pipelines. Ensure efficient data flow across various sources and systems
• Advanced File Processing: Develops extensible file processing pipelines that offer free self-service artefact generation. Researches and evaluates file processing software based on fidelity, reliability, and performance criteria. Models file processing outcomes within the observability framework to provide insights for engineering teams and business leaders. Develops engineering systems that facilitate rapid and minimally manual evaluation of file processor
• Data Management: Orchestrates scale-out data pipelines that optimise serverless and containerised compute to balance cost, latency, and duration. Contributes to algorithmically intensive data engines operating on streaming, large, or multi-tenant datasets. Troubleshot systems, identified root causes, and rectified bugs.

Who You Are

• 7-10 years of experience in software development, with a demonstrated track record in SaaS or similar environments.
• 5+ years of professional experience with each of the following: Service Oriented Architecture, Docker-based services, micro-services, API and Data Model Design or Implementation;
• Experience in playing key roles (for example: development, testing, design, product interfacing, etc) in significant software projects, showing an ability to work effectively both independently and as part of a team. Other preferred experience for the position, including length and in what capacity (e.g., operational, management level).
• Experience with developing and maintaining large-scale, high-availability software systems
• Experience with gRPC and Protocol Buffers for efficient, language-agnostic service-to-service communication
• Experience with designing and developing from a Security Perspective
• Experience selecting and extending 3rd party components (commercial or open source) that provide operational leverage
• Experience with Continuous Integration and Continuous Deployment (CI/CD) with an emphasis on a well-maintained testing pyramid
• Experience with Agile development methodologies and practices.
• Experience using feature or release toggles as a code branching strategy
• Experience with Contract-first designing and negotiating with other systems
• Experience contributing to technical documentation

Even Better If You Have...

Key 3-5 specific skills or knowledge required

• Knowledge of ElasticSearch, NoSql Stores, Kafka, Columnar Databases, DataFlow or Pipeline Systems
• Knowledge of Design, implementation, and operation of data-intensive distributed systems
• Understanding of microservices design patterns and principles, with experience in developing microservices using containerized tools like Docker
• Knowledge of system architecture, design patterns, and best practices in software development.
• Skilled in designing and operating software in a Cloud Provider, such as AWS, Azure, or GCP
• Skilled in cloud-based data storage, such as: Relational Databases, NoSQL Stores, data caches, etc.
• Skilled in analytical abilities and problem-solving, capable of addressing complex technical challenges.
• Ability to adapt to new technologies and methodologies, and a mindset geared towards innovation and continuous improvement.
• Effective communication and teamwork skills, essential for working in a dynamic and collaborative environment with various stakeholders and team members.
• Skilled in programming languages and frameworks commonly used in SaaS development. In particular, Java/Kotlin, Python, C#.
• Skilled in designing and developing APIs (including gRPC, GraphQL, and REST), basic understanding of HTTP/HTTPS protocols, and proficiency in API documentation. 
• Familiarity with server management, network configurations, and an understanding of cloud services (like AWS, Azure, or Google Cloud).
• Knowledge of various stages of the SDLC, including design, development, testing, and deployment.

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

We’re looking for a Sr Big Data Engineer who expects more from their career. It’s chance to extend and improve dunnhumby’s Data Engineering Team. It’s an opportunity to work with a market-leading business to explore new opportunities for us and influence global retailers.    

Key Responsibilities 

• Design end-to-end data solutions, including data lakes, data warehouses, ETL/ELT pipelines, APIs, and analytics platforms. 
• Architect scalable and low-latency data pipelines using tools like Apache Kafka, Flink, or Spark Streaming to handle high-velocity data streams. 
• Design /Orchestrate end-to-end automation using orchestration frameworks such as Apache Airflow to manage complex workflows and dependencies. 
• Design intelligent systems that can detect anomalies, trigger alerts, and automatically reroute or restart processes to maintain data integrity and availability. 
• Define and implement data governance, metadata management, and data quality standards. 
• Lead architectural reviews and technical design sessions to guide solution development. 
• Partner with business and IT teams to translate business needs into data architecture requirements. 
• Ensure security, compliance, and regulatory requirements are addressed in all data solutions. 
• Evaluate and recommend improvements to existing data architecture and processes. 
  
  

Technical Expertise

• Bachelors or masters degree in computer science, Information Systems, Data Science, or related field. 
• Extensive experience with high level programming languages - Python, Java or Scala 
• 5+ years of experience in data architecture, data engineering, or a related field. 
• Proficient in data pipeline tools such as Apache Spark, Kafka, Airflow, or similar. 
• Experience with data governance frameworks and tools (e.g., Collibra, Alation, OpenMetadata). 
• Strong knowledge of cloud platforms (Azure or Google Cloud), especially with cloud-native data services. 
• Experience working in Agile or DevOps environments. 
• Experience with modern data stack tools (e.g., dbt, Snowflake, Databricks). 
• Experience with Hive, Oozie, Airflow, HBase, MapReduce, Spark along with working knowledge of Hadoop/Spark Toolsets. 
  
• Extensive Experience working with Git and Process Automation  
  
• In depth understanding of relational database management systems (RDBMS) and Data Flow Development. 

Graviton is a privately funded quantitative trading firm striving for excellence in financial markets research. We are seeking a skilled Application Reliability Engineer to be the first line of defense for ensuring the reliability, availability, and performance of our databases, services, and trading support systems. You’ll not only monitor, troubleshoot, and resolve production issues, but also build automation, improve observability, and drive long-term stability of mission-critical systems. You’ll work closely with developers, traders, and infrastructure teams to triage issues, manage deployments, and continuously improve operational workflows.

The ideal candidate will possess a strong background in technical support, with a passion for problem-solving and a commitment to excellence.

As a Application Reliability Engineer, you will be responsible for:

• Monitor production services and respond quickly to alerts, incidents, and outages to ensure smooth operation and minimal downtime.
• Monitor trading systems and infrastructure.
• Triage issues across trading support services, databases, and infra; escalate and coordinate with the right owners, and drive root-cause analysis and ensure fixes are implemented for long-term stability.
• Serve as the first line of defense for trading operations.
• Proactively identify, address recurring issues, and build automation to reduce manual intervention.

• Improve observability by enhancing monitoring, logging, and alerting systems.
• Develop and maintain operational runbooks and SLO/SLA metrics.

Requirements :

• Possess a degree in a highly analytical field, such as Engineering, Mathematics, or Computer Science
• Upto 2 years of experience in Python, Shell/Bash scripting.

Experience with Linux and shell online tools

• Hands-on experience with databases (SQL, NoSQL)
• Strong problem-solving and analytical skills
• Excellent communication skills
• Ability to remain calm and analytical under production pressure

Good to have:

• Familiarity with monitoring/alerting stacks (Prometheus, Grafana, ELK, etc.)
• Familiarity with distributed messaging (Kafka) and caching systems (Redis)
• Experience with CI/CD pipelines and deployment automation
• Prior experience in a support, SRE, or production engineering role

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

Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their customers. With deep heritage and expertise in retail – one of the world’s most competitive markets, with a deluge of multi-dimensional data – dunnhumby today enables businesses all over the world, across industries, to be Customer First.

Dunnhumby helps retailers and brands deliver better experiences through Customer First strategies.

We are seeking a talented Lead Engineer with .NET expertise to lead development of a product that help Retailers transform their Retail Media business in a way that helps them achieve maximum ad revenue and enable massive scale.

As a Lead Engineer, you will play a pivotal role in designing and delivering high-quality software solutions.

You will be responsible for contributing to system architecture and ensuring adherence to engineering best practices. Your technical expertise, leadership skills, and ability to drive results will be key to the success of our products.

What will you be doing?

You will design and deliver .NET Core solutions within microservices architecture, ensuring adherence to compliance, security, and quality standards. Implement best practices in coding, CI/CD, and DevOps while balancing delivery timelines with technical excellence. Conduct regular performance reviews, provide actionable feedback, and drive innovation through continuous improvement and process enhancements. Focus on improving developer productivity and coaching junior team members to achieve their full potential. You will collaborate with product managers and architects to define technical roadmaps.

What would you need to be successful in the role?

• Experience 9+years
• Proven experience leading technical teams and delivering complex projects.
• Strong understanding of object-oriented programming, data structures, and algorithms.
• Possess strong technical expertise in C#, .NET Core and experience building RESTful APIs with a deep understanding of design patterns, SOLID principles, system design, and engineering best practices.
• Strong experience designing distributed systems using microservices and event-driven architecture
• Familiar with microservices and event-driven architecture using tools like RabbitMQ , Google Pub/Sub and Kafka, as well as containerization technologies such as Docker and Kubernetes.
• Hands-on experience with:
  
  • Docker and Kubernetes (K8s)
  • Cloud platforms (GCP / Azure / AWS)
  • Relational databases (Postgres preferred) and analytical databases (BigQuery preferred)
  • Testing Framework (Xunit / NUnit/ Cypress)
  .

• Experienced in using DevOps tools like GitLab CI/CD and leveraging cloud platforms, particularly GCP or Azure, for scalable solutions.
• Additional knowledge of Redis, and Elasticsearch is an advantage
• Demonstrate a deep understanding of distributed systems, cloud-native applications, and Unix/Linux environments, alongside expertise in testing strategies, code quality, and secure coding tools like SonarQube and Checkmarx.
• Proficiency with version control systems like Git
• Adept at utilizing observability tools like New Relic to monitor systems, with solid knowledge of SDLC, Agile methodologies, and strong interpersonal and leadership skills to effectively motivate teams.
• Familiarity with the AdTech or Retail domain is an added advantage
• Work experience preferably in a product company

Get to Know our Team: 

In Agoda’s Back End Engineering department, we build the scalable, fault-tolerant systems and APIs that host our core business logic. Our systems cover all major areas of our business: inventory and pricing, product information, customer data, communications, partner data, booking systems, payments, and more. These mission-critical systems change frequently with dozens of releases per day, so we must employ state-of-the-art CI/CD and testing techniques in order to make sure everything works without any downtime. We also ensure that our systems are self-healing, responding gracefully to extreme loads or unexpected input. In order to accomplish this, we use state-of-the-art languages like Scala and Go, data technologies like Kafka and Aerospike, and agile development practices. Most importantly though, we hire great people from all around the world and empower them to be successful. Whether it’s building new projects like Flights and Packages or reimagining our existing business, you’ll make a big impact as part of the Back End Engineering team. 

The Opportunity:

The Engineering Manager role at Agoda is one of the most significant and challenging roles at the company. The right candidate is both extremely hands on – technically excellent, with solid engineering principles – and exhibits strong leadership and people development skills. We are looking for world class development managers to lead one or more of our engineering teams. 

In this Role, you'll get to: 

• Be hands on - its one of the job’s fundamental task, and most of our development managers are writing and reviewing code, giving expert level coaching and guidance to their engineers. 
• It's important to have a love of engineering and a passion for building things elegantly and at scale. Staying in touch with where the industry is going is crucial, and it’s important to have strong opinions about how systems should be architected, engineered, and maintained.
• Do full stack engineering: you should have solid experience in all parts of the technology stack: infrastructure, client side, back end, performance, data, and others. 
• Developing people - Despite our investment and belief in technology, people are still our greatest asset. The right candidate will have a keen interest in developing people: inspiring those around them so they can achieve their potential. Being able to bring A-players such as yourself from outside and integrating them into the business will also be important. 

What you'll Need to Succeed: 

• Extremely proficient in at least 1 programming language (Java, Scala, C#)
• Strong experience in systems architecture – particularly in complex, scalable and fault tolerant distributed systems 
• Demonstrable experience as a system owner with operational responsibility 
• Proficient in lower level engineering (Garbage collection, context switching, threading) 
• DevOps culture – Agility. Leanness. Automation. CI/CD 
• Good understanding of application security 
• Passionate about technology and the Internet 
• Must have worked in a successful agile development team 
• Must have run engineering teams before with 5+ direct reports
• Able to operate with autonomously: making decisions, setting KPIs, with a strong sense of ownership 
• Practices data driven decision making 

It's Great if you have:

• Proficiency in more than one programming language

This position is based in Gurugram, India. Relocation package will be provided.

#newdelhi #pune #bangalore #hyderabad #IT #ENG #4 #LI-TS1  

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)

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.
     

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

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