About the Role

• OSD Operator plays a critical support role in Oral Solid Dosage (OSD) formulation development, working closely with formulation scientists to execute laboratory‑scale manufacturing activities in a safe, compliant, and well‑documented manner. The role focuses on operating and maintaining OSD equipment, supporting formulation trials, and ensuring strict adherence to GLP, SOPs, data integrity, and EHS requirements

Key Responsibilities

OSD Operations & Equipment Handling

• Operate and support laboratory‑scale OSD equipment including dispensing, granulation, FBP, HME, blending, compression, and coating as per approved SOPs and protocols.
• Set up, monitor, and clean OSD equipment such as blenders, granulators, compression machines, coating pans, and associated accessories under supervision.
• Support formulation trials, optimization studies, and batch execution activities
• Calibration, Maintenance & Equipment Compliance
• Perform daily calibration / verification of balances and pH meters and ensure proper documentation in logbooks
• Ensure timely annual calibration and preventive maintenance of formulation equipment in coordination with Instrumentation / Engineering teams
• Identify, label, isolate, and report equipment malfunctions, deviations, or abnormal performance immediately.
• Comply with EHS requirements, PPE usage, and safe material handling practices.
• Support handling of raw materials during batch operations and disposal of expired or discarded chemicals as per SOP.
• Report safety observations, incidents, or near misses immediately.
• Ensure Cleanliness, Hygiene, OSD and injectable lab as per the cGMP practices.
• Daily Temperature & Humidity monitoring in Lab Refrigerator & Freezer and retrieving the Data Backup in frequent intervals.
• Preparation of RGP & NRGP in coordinating with technical team and providing numbering for the Same and maintaining a Track.
• Ensure the receipt of the material at respective CRO & CMO.
• Follow up for the materials which were sent out through RGP.
• Maintenance of minimum spares related consumable items in co-ordination with the Warehouse team.
• Maintaining adequate facilities in the site for Collection, Storage and Disposal of Hazardous & Non-Hazardous Waste from the Site to authorized third parties in co-ordination with the EHS department.
• Shall Fulfill and support all the EHS requirements at the site.

Required Skills and Experience

• 8+ years of experience as a Working Professional in similar field.

Preferred Qualifications

• Shall hold any bachelor’s degree relating to science or equivalent.

About the Team

Data is at the foundation of DoorDash success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. By implementing pipelines, data structures, and data warehouse architectures; this team serves as the foundation for decision-making at DoorDash.

About the Role

DoorDash is looking for a Senior Data Engineer to be a technical powerhouse to help us scale our data infrastructure, automation and tools to meet growing business needs.

You're excited about this opportunity because you will…

• Work with business partners and stakeholders to understand data requirements
• Work with engineering, product teams and 3rd parties to collect required data
• Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse
• Develop and implement data quality checks, conduct QA and implement monitoring routines
• Improve the reliability and scalability of our ETL processes
• Manage a portfolio of data products that deliver high-quality, trustworthy data
• Help onboard and support other engineers as they join the team

We're excited about you because…

• 5+ years of professional experience
• 3+ years experience working in data engineering, business intelligence, or a similar role
• Proficiency in programming languages such as Python/Java
• 3+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie and Azkaban using AWS/GCP
• Expert in Database fundamentals, SQL and distributed computing
• 3+ years of experience with the Distributed data/similar ecosystem (Spark, Hive, Druid, Presto) and streaming technologies such as Kafka/Flink.
• Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS platforms
• Excellent communication skills and experience working with technical and non-technical teams
• Knowledge of reporting tools such as Tableau, Superset and Looker
• Comfortable working in fast paced environment, self starter and self organizing
• Ability to think strategically, analyze and interpret market and consumer information
• You must be located near one of our engineering hubs indicated above

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey

About the Team

Data is at the foundation of DoorDash success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. Team serves as the foundation for decision-making at DoorDash.

About the Role

DoorDash is looking for a Staff Software Engineer, Data to be a technical lead and help architect and scale our data reliability, data infrastructure, automation and tools to meet growing business needs.

You’re excited about this opportunity because you will…

• Own critical data systems that support multiple products/teams
• Develop, implement and enforce best practices for data infrastructure and automation
• Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse
• Improve the reliability and scalability of our Ingestion, data processing, ETLs, Reporting tools and data ecosystem services
• Manage a portfolio of data products that deliver high-quality, trustworthy data
• Help onboard and support other engineers as they join the team

We’re excited about you because…

• 8+ years of professional experience as a hands-on engineer and technical leader leading multiple projects
• 6+ years experience working in data platform and data engineering or a similar role
• Proficiency in programming languages such as Python/Kotlin/Scala
• 4+ years of experience in ETL orchestration and workflow management tools like Airflow
• Expert in database fundamentals, SQL, data reliability practices and distributed computing
• 4+ years of experience with the Distributed data/similar ecosystem (Spark, Presto) and streaming technologies such as Kafka/Flink/Spark Streaming
• Excellent communication skills and experience working with technical and non-technical teams and knowledge of reporting tools 
• Comfortable working in fast paced environment, self starter and self organizing
• Ability to think strategically, analyze and interpret market and consumer information
• You must be located near one of our engineering hubs indicated above

We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on June 20, 2024.

Please see the independent bias audit report covering our use of Covey here.

About the Team

Data is at the foundation of DoorDash success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. Team serves as the foundation for decision-making at DoorDash.

About the Role

DoorDash is looking for a Software Engineer, Data to be a technical powerhouse to help us scale our data reliability, data infrastructure, automation and tools to meet growing business needs.

You’re excited about this opportunity because you will…

• Own critical data systems that support multiple products/teams
• Develop, implement and enforce best practices for data infrastructure and automation
• Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse
• Improve the reliability and scalability of our Ingestion, data processing, ETLs, Reporting tools and data ecosystem services
• Manage a portfolio of data products that deliver high-quality, trustworthy data
• Help onboard and support other engineers as they join the team

We’re excited about you because…

• 3+ years of professional experience
• 3+ years experience working in data platform and data engineering or a similar role
• Proficiency in programming languages such as Python/Kotlin/Scala
• 3+ years of experience in ETL orchestration and workflow management tools like Airflow
• Expert in database fundamentals, SQL, data reliability practices and distributed computing
• 3+ years of experience with the Distributed data/similar ecosystem (Spark, Presto) and streaming technologies such as Kafka/Flink/Spark Streaming
• Excellent communication skills and experience working with technical and non-technical teams and knowledge of reporting tools 
• Comfortable working in fast paced environment, self starter and self organizing
• Ability to think strategically, analyze and interpret market and consumer information
• You must be located near one of our engineering hubs indicated above

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey

ABOUT THE ROLE

You are a seasoned Data Scientist, passionate about building robust, real-time machine learning solutions to combat financial crime. Working within the Risk & Fraud Team, you will leverage advanced statistical modeling and machine learning to detect, prevent, and adapt to evolving fraud threats. You thrive on solving complex problems with highly imbalanced data and delivering tangible risk reduction impact in a fast-paced environment.

You strongly believe in agile principles and use them to deliver value incrementally. You are eager to learn about new methodologies and practices and apply them directly in your work.

As a Senior Data Scientist you’ll be:

• Model Development & Risk Mitigation: Design, develop, and implement advanced ML/Statistical models to predict and prevent various fraud typologies. Focus on driving impact by optimising costs and reducing risk using ML/Stats models.
• Specialised Data Handling: Employ advanced techniques to manage and model highly imbalanced, large datasets characteristic of the fraud domain.
• Adaptive Systems: Build and maintain models that can quickly adapt to new and evolving fraud typologies and emerging threats.
• Real-Time MLOps: Develop, optimise, and deploy ML models for real-time/low-latency inference in production settings.
• Data & Feature Engineering: Utilize, enrich, and contribute to the feature store ecosystem, ensuring high-quality, scalable features for risk models.
• Performance Monitoring: Implement and maintain robust drift monitoring and model performance tracking to ensure deployed models remain effective and stable.
• Collaboration: Work closely with ML Engineers to productionize models leveraging AWS/GCP tech stack, and collaborate with Business and Product teams to understand requirements and solutionise data products.
• Exploration: Identify creative solutions in order to build relevant training data sets and explore the value of new data structures like knowledge graphs for relational fraud detection.

WHAT ARE WE LOOKING FOR

• You have 6+ years of experience in Software Development or Machine Learning, with a strong emphasis on practical model development and deployment.
• You are Strong in Python and have expert knowledge with Machine Learning tools/libraries (e.g., scikit-learn, statmodels, TensorFlow, Keras, or PyTorch).
• You have experience with big-data technologies such as Spark, SparkML, Hadoop etc. and have handled large data in a distributed processing environment. AWS, GCP, or Azure (anyone) cloud knowledge is preferred.
• You are proficient in ML training, optimising, feature selection and engineering, hyperparameter tuning and have knowledge about trade-offs in using different algorithms.
• You have demonstrated experience in developing and deploying a variety of ML-algorithms (e.g., logistic regressions, boosted trees, neural networks) that work in real-time settings.
• You have a good working knowledge with basic data table operations (SQL etc.), and data transform in the warehouse (dbt etc.).
• You are comfortable with ambiguity and are a self-starter—you take initiative in spotting opportunities and finding ways to solve challenges with data.
• Familiarity with Financial Services and Fintech space is preferred.
• You will be helping optimise all aspects of our sales funnel including finding ways to increase lead quality, reduce our cost of acquisition, optimise lead allocation, and improve the likelihood of successful lending outcomes for our members

Highly Desirable Skills:

• Exposure to Cost-Sensitive Learning techniques, where the economic impact of prediction errors is a key optimization factor.
• A decent idea and practical exposure to MLOps principles (e.g., model versioning, continuous integration/deployment for ML).
• Experience with Drift monitoring tools and frameworks.
• Exposure to Knowledge Graphs or graph database applications.

• Competitive Compensation -  competitive salary and share options
• Time Off – Generous annual leave on top of bank holidays.
• Parental Leave – Paid maternity, paternity, and adoption leave to support your family journey.
• Sabbatical – Extended unpaid and paid leave options after completing milestone years with Tide.
• Health Insurance – Private family insurance with additional OPD coverage and top-up options.
• Life & Accident Cover – Comprehensive accidental and life insurance protection.
• Mental Wellbeing – Access to therapy sessions, courses, meditations, and workshops.
• Volunteering & Development Days – Paid days annually for volunteering or personal growth.
• Learning & Development – Annual budget for books, courses, coaching, and more.
• WOO (Work Outside the Office) – Work from abroad for up to 90 days annually.
• Home Office Setup – Contribution towards setting up your home office
• Laptop Ownership – Keep your old laptop and get a new one when it’s time for a replacement.
• Snacks & Meals – Office perks with snacks, coffee, tea, and lunch (location dependent).

TIDEAN WAYS OF WORKING

At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. 

While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community.

ABOUT THE ROLE

You are a seasoned Data Scientist, passionate about building robust, real-time machine learning solutions to combat financial crime. Working within the Risk & Fraud Team, you will leverage advanced statistical modeling and machine learning to detect, prevent, and adapt to evolving fraud threats. You thrive on solving complex problems with highly imbalanced data and delivering tangible risk reduction impact in a fast-paced environment.

You strongly believe in agile principles and use them to deliver value incrementally. You are eager to learn about new methodologies and practices and apply them directly in your work.

As a Senior Data Scientist you’ll be:

• Model Development & Risk Mitigation: Design, develop, and implement advanced ML/Statistical models to predict and prevent various fraud typologies. Focus on driving impact by optimising costs and reducing risk using ML/Stats models.
• Specialised Data Handling: Employ advanced techniques to manage and model highly imbalanced, large datasets characteristic of the fraud domain.
• Adaptive Systems: Build and maintain models that can quickly adapt to new and evolving fraud typologies and emerging threats.
• Real-Time MLOps: Develop, optimise, and deploy ML models for real-time/low-latency inference in production settings.
• Data & Feature Engineering: Utilize, enrich, and contribute to the feature store ecosystem, ensuring high-quality, scalable features for risk models.
• Performance Monitoring: Implement and maintain robust drift monitoring and model performance tracking to ensure deployed models remain effective and stable.
• Collaboration: Work closely with ML Engineers to productionize models leveraging AWS/GCP tech stack, and collaborate with Business and Product teams to understand requirements and solutionise data products.
• Exploration: Identify creative solutions in order to build relevant training data sets and explore the value of new data structures like knowledge graphs for relational fraud detection.

WHAT ARE WE LOOKING FOR

• You have 6+ years of experience in Software Development or Machine Learning, with a strong emphasis on practical model development and deployment.
• You are Strong in Python and have expert knowledge with Machine Learning tools/libraries (e.g., scikit-learn, statmodels, TensorFlow, Keras, or PyTorch).
• You have experience with big-data technologies such as Spark, SparkML, Hadoop etc. and have handled large data in a distributed processing environment. AWS, GCP, or Azure (anyone) cloud knowledge is preferred.
• You are proficient in ML training, optimising, feature selection and engineering, hyperparameter tuning and have knowledge about trade-offs in using different algorithms.
• You have demonstrated experience in developing and deploying a variety of ML-algorithms (e.g., logistic regressions, boosted trees, neural networks) that work in real-time settings.
• You have a good working knowledge with basic data table operations (SQL etc.), and data transform in the warehouse (dbt etc.).
• You are comfortable with ambiguity and are a self-starter—you take initiative in spotting opportunities and finding ways to solve challenges with data.
• Familiarity with Financial Services and Fintech space is preferred.
• You will be helping optimise all aspects of our sales funnel including finding ways to increase lead quality, reduce our cost of acquisition, optimise lead allocation, and improve the likelihood of successful lending outcomes for our members

Highly Desirable Skills:

• Exposure to Cost-Sensitive Learning techniques, where the economic impact of prediction errors is a key optimization factor.
• A decent idea and practical exposure to MLOps principles (e.g., model versioning, continuous integration/deployment for ML).
• Experience with Drift monitoring tools and frameworks.
• Exposure to Knowledge Graphs or graph database applications.

• Competitive Compensation -  competitive salary and share options
• Time Off – Generous annual leave on top of bank holidays.
• Parental Leave – Paid maternity, paternity, and adoption leave to support your family journey.
• Sabbatical – Extended unpaid and paid leave options after completing milestone years with Tide.
• Health Insurance – Private family insurance with additional OPD coverage and top-up options.
• Life & Accident Cover – Comprehensive accidental and life insurance protection.
• Mental Wellbeing – Access to therapy sessions, courses, meditations, and workshops.
• Volunteering & Development Days – Paid days annually for volunteering or personal growth.
• Learning & Development – Annual budget for books, courses, coaching, and more.
• WOO (Work Outside the Office) – Work from abroad for up to 90 days annually.
• Home Office Setup – Contribution towards setting up your home office
• Laptop Ownership – Keep your old laptop and get a new one when it’s time for a replacement.
• Snacks & Meals – Office perks with snacks, coffee, tea, and lunch (location dependent).

TIDEAN WAYS OF WORKING

At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. 

While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community.

About Us

Are you ready to build the future of supply chain? At Gather AI, we’re not just creating software; we’re pioneering a new era of warehouse intelligence. We’ve developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining “on-time, in full” delivery.

If you’re looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We’re leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time.

About the Team

You’ll work most closely with the fullstack engineering team and their leads, collaborating regularly with the cloud engineering team on API and backend testing, and with the ML team for feature validation. Cross-departmentally, you’ll work with Product Management on acceptance criteria and release readiness, and with Customer Support on field-reported issues.

About the Role

We are looking for a Senior QA Engineer to own the end-to-end test automation strategy for Gather AI’s fullstack platform. You will build and maintain Playwright-based E2E test suites, design API automation coverage, integrate tests into CI/CD pipelines, and develop a structured evaluation framework for LLM-powered features.

This is a greenfield opportunity to shape QA practices and tooling from the ground up at a production AI/robotics company — not a ticket-closing QA factory. Your work directly affects product quality for real customers.

What You’ll Do

• Build and maintain Playwright-based E2E test automation suites covering critical user workflows, API validation, and edge case handling across web applications
• Design and implement a comprehensive API automation framework for backend services, including REST endpoint coverage and data validation
• Integrate automated test suites into CI/CD pipelines (GitHub Actions) with reporting, failure alerting, and quality gates
• Develop a structured LLM tool evaluation framework — defining test methodologies, evaluation criteria, and repeatable benchmarks for AI/ML-powered features
• Identify and address gaps in test coverage, flaky tests, and QA technical debt; drive adoption of quality metrics (test coverage, defect escape rate, automation coverage)
• Collaborate with engineering leads, Product, and Customer Support to define release readiness criteria and prioritize regression coverage

What You’ll Need

• 5–8+ years of QA/test engineering experience with a strong focus on automation
• Hands-on Playwright experience building and maintaining E2E test suites (TypeScript/JavaScript)
• API test automation expertise using tools such as Playwright API testing, Postman/Newman, or pytest
• CI/CD integration experience (GitHub Actions, Jenkins, or similar) with test pipeline design and reporting
• BS in Computer Science, Engineering, or a related field; solid functional testing fundamentals and strong analytical thinking

Nice to Have

• Experience or aptitude for LLM/AI tool evaluation (prompt testing, output quality assessment, hallucination detection)
• Performance or load testing experience (k6, Locust, JMeter, or similar)
• Experience with database testing and data validation (SQL, data pipeline verification)
• Familiarity with Docker or containerized test environments

About Us

Are you ready to build the future of supply chain? At Gather AI, we’re not just creating software; we’re pioneering a new era of warehouse intelligence. We’ve developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining “on-time, in full” delivery.

If you’re looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We’re leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time.

About the Team

You’ll work closely with the iOS team, backend and platform engineers, Autonomy and R&D teams, and QA and Support engineers. The mobile team owns the software that runs on-device in customer warehouses — where reliability and correctness directly affect live operations. This is a high-ownership role with real-world stakes.

About the Role

We are looking for a Senior Engineer, iOS to join our mobile team and take ownership of critical features and workflows within Gather AI’s iOS applications (Modal and DJI variants). You will work on mission execution, offline-first sync architectures, and reliability improvements for live production apps that operate in demanding warehouse environments.

This role is for a strong iOS engineer who wants technical depth beyond standard CRUD mobile development — working with hardware-integrated systems, complex state management, and cross-functional teams pushing the boundaries of autonomous drone technology.

What You’ll Do

• Own major features or workflows end-to-end — including mission lifecycle, upload pipelines, and offline-first sync — with a focus on reliability and correctness in live deployments
• Debug and resolve complex iOS issues spanning state management, networking, concurrency, and hardware integration across the Modal and DJI app variants
• Improve app stability, performance, and logging quality to reduce iOS-side bugs in mission execution and edge cases
• Collaborate with backend, autonomy, and QA teams to deliver well-integrated, production-quality features
• Contribute to iOS architecture decisions, code quality standards, and mobile best practices across the team

What You’ll Need

• 5–8+ years of professional iOS development experience with strong production app credentials (B2B or consumer scale)
• Deep native iOS fundamentals: Swift, UIKit, SwiftUI, app lifecycle, background tasks, and performance optimization
• Experience building and maintaining offline-first or sync-heavy mobile architectures
• Proven debugging skills for complex state, networking, and concurrency issues in production systems
• Strong ownership mindset and clear written and verbal communication skills

Nice to Have

• Experience with hardware-integrated apps (drones, sensors, robotics, or similar)
• CI/CD for mobile apps
• Observability experience (logging, metrics, crash analysis)
• Familiarity with Azure-backed systems or REST API design

About Us

Are you ready to build the future of supply chain? At Gather AI, we're not just creating software; we're pioneering a new era of warehouse intelligence. We've developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining "on-time, in full" delivery.

If you're looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We're leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time.

About the Team

This role sits within the Backend and Platform Engineering organization. You'll work day-to-day alongside the Fullstack Engineering team, ensuring application services have the cloud infrastructure they need to scale safely and deploy reliably. You'll also partner closely with the ML Systems Engineering (Ops) team, enabling the infrastructure capabilities required for production ML pipelines, model serving, and data workloads. Cross-functionally, you'll collaborate with QA, Release Engineering, and Platform and Security stakeholders to ensure cloud environments support stable testing pipelines, access control, secrets management, and operational governance.

About the Role

We are looking for a Cloud Engineer (Platform & Infrastructure) to help mature our cloud operations into a structured and scalable platform. Our foundational infrastructure is already in place and actively supporting production workloads, but many current practices evolved organically during earlier growth stages. Rather than building from scratch, you'll evolve an existing production environment by introducing stronger operational patterns, improving deployment safety, and ensuring our infrastructure layer reliably supports increasing system scale. This role offers meaningful ownership of the infrastructure backbone supporting a platform that combines real-time application systems with machine learning workloads, and the opportunity to influence how systems are deployed, operated, and scaled as the organization grows.

What You'll Do

• Review and rationalize current Azure and AWS environments, identifying configuration drift, security gaps, and operational inconsistencies, and establish clear configuration standards across cloud accounts
• Introduce repeatable Infrastructure-as-Code patterns to ensure cloud resources are provisioned, versioned, and audited through automated workflows
• Strengthen CI/CD pipelines for infrastructure and application deployment to reduce manual operations and increase release safety across both application services and ML workloads
• Establish consistent logging, metrics, and alerting practices across infrastructure and container workloads to improve operational visibility
• Audit and improve cloud security practices including IAM policies, secrets management, network segmentation, and operational access controls
• Evaluate current infrastructure architecture and introduce patterns that enable workloads to operate portably across both Azure and AWS environments
• Improve Kubernetes platform reliability by refining autoscaling policies, workload isolation, and cluster lifecycle management
• Partner with Fullstack and ML teams to reduce infrastructure friction around environments, networking, and resource provisioning

What You'll Need

• Bachelor's degree in Computer Science, Engineering, or a related field
• 5+ years of experience operating production cloud infrastructure at scale
• Deep experience with at least one major cloud provider (Azure or AWS) and working familiarity with the other
• Hands-on experience with Kubernetes and Docker for running containerized workloads in production environments
• Proficiency with Terraform or equivalent Infrastructure-as-Code tooling for provisioning and managing cloud infrastructure
• Experience implementing automated deployment pipelines using tools such as GitHub Actions, GitLab CI, or similar platforms
• Strong operational mindset with a focus on reliability, automation, and clear technical documentation

Nice to Have

• Experience with observability tooling such as Prometheus, ELK, OpenTelemetry, or similar logging, metrics, and monitoring systems
• Familiarity supporting ML infrastructure workloads including pipeline orchestration, model deployment, and scalable inference environments
• Experience working in logistics, robotics-adjacent platforms, or real-time distributed systems
• Track record of translating application requirements into secure, reliable, and operationally safe infrastructure architecture
• Exposure to cloud cost visibility and optimization practices
• Experience introducing infrastructure governance standards including templates, security baselines, and operational documentation

About Us

Are you ready to build the future of supply chain? At Gather AI, we're not just creating software; we're pioneering a new era of warehouse intelligence. We've developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining "on-time, in full" delivery. If you're looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We're leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time.

About the Team

Gather AI is at the forefront of Physical AI for intralogistics — using autonomous drones and computer vision to deliver real-time insights that digitize warehouse operations and redefine supply chain efficiency. Our interdisciplinary engineering teams are building the data and systems foundations that power intelligent, scalable solutions used across global operations.

About the Role

Reporting to the engineering leadership team, the Staff Database Engineer will own the evolution of our data layer from growth-optimized foundations to enterprise-grade reliability and performance. You will define replication, scaling, latency, and governance strategies while serving as the primary authority for database operational excellence. In this role, you will shape database engineering practices for a mission-critical system, directly impacting the reliability and performance of a platform powering Physical AI in warehouse operations. 

You’ll work on systems supporting real-time, AI-ready data access at scale and join a high-growth, technology-driven team solving complex infrastructure challenges—making a visible, lasting impact on platform stability, product scalability, and AI-driven workloads.

What You’ll Do

• Lead the design, optimization, and scaling of relational and distributed databases to meet uptime, performance, and latency goals
• Define and implement replication, multi-region read/write strategies, backup/HA, and disaster recovery
• Establish governance, compliance (ISO/SOC2), and operational standards for data infrastructure
• Drive database performance tuning, capacity planning, and lifecycle automation
• Collaborate with engineering and infrastructure teams to ensure data systems meet SLAs and support AI/ML workloads
• Provide architectural leadership on PostgreSQL and MongoDB systems and scaling approaches

What You’ll Need

• 8+ years designing and operating production-grade relational databases, with deep PostgreSQL expertise
• Ownership of database architecture, replication, scaling, indexing, and performance strategy across PostgreSQL and MongoDB
• Proven experience operating high-availability, multi-region, multi-tenant SLA-backed production systems
• Advanced SQL and query optimization expertise and automation capability
• Experience defining governance, compliance, and operational standards for enterprise-grade data platforms

Nice to Have

• Experience designing systems for dynamic, AI-driven queries without compromising transactional performance
• Familiarity with CDC pipelines, event streaming, and data lifecycle strategies

The Role 

You have an uncanny knack for problem solving and you have a sharp product mindset. Our Tech Leads are involved in all aspects of the software design process and create high-performing, scalable, and secure products. This is a hands-on technical role, with no people management responsibilities.

As the most senior technical person in your team, you’ll be hands-on in the solution and code, working alongside Product, Design, Quality, Platform, Security and your team to design solutions that power a new market-leading Analytics platform. You aren’t afraid to challenge the status quo and define solutions that sit outside of existing patterns, especially where reliability, security, and repeatability are critical to customer success.

In this role you will own the engineering foundations of StarRez’s Analytics & Reporting capabilities, leading the development of a new Analytics product and the implementation of a new cloud data warehouse. You will lead the build of the data model integration layer, including automated customer schema provisioning, user provisioning, and Single Sign-On (SSO) integration (SAML/OIDC) to deliver a seamless and secure customer experience. You will also uplift existing ad-hoc reporting and analytics tools, and assist with improving the StarRez database schema, working closely with Data Analysts, Engineers and Product Managers to align the platform to best practice and analytics readiness.

With deep knowledge of your domain and programming language, you not only understand how choices made in software design and architecture affect areas like performance, maintainability, testability, observability, and security, you teach and promote this knowledge to others within and across teams. You are hands-on and keep up to date with the latest .NET and web technologies.

Required Qualifications 

• Bachelor’s degree in Computer Science, Information Technology, or similar
• You have held a Technical Lead (or similar role) for at least 2 years
• You have worked to improve, modernise and decompose large codebases
• Demonstrated experience creating products and features from the ground up, and successfully taking them through to production
• Experience working on SaaS platforms at scale
• Demonstrated experience designing and building integration-heavy systems (APIs, automation, workflows) with a focus on reliability and security
• Experience implementing identity and access patterns, including SSO (SAML/OIDC), role/group mapping, and least-privilege access models
• Strong database fundamentals and practical SQL experience; comfortable designing safe schema changes and performance-minded data access patterns
• An inclination towards communication, inclusion, and visibility
• Deep knowledge of .NET ecosystem (framework 4.6+ / .NET 6+)
• Web technologies – C#, MVC, HTML, JavaScript, CSS etc
• Experience with testing frameworks in C#
• Azure SQL
• Git

Preferred Qualifications 

• Understanding of CI/CD pipelines and DevOps principles
• Proficiency with one or more public cloud providers such as Azure, AWS or GCP
• Experience building foundations for modern analytics/data platforms and cloud data warehouses (e.g., Snowflake, Azure Synapse, Microsoft Fabric)
• Experience with data pipeline tooling and patterns (e.g., Azure Data Factory, Snowflake Openflow, Fivetran, dbt, or similar tools)
• Familiarity with multi-tenant SaaS analytics patterns (tenant isolation, RBAC, auditability, and data access controls such as row-level security where applicable)
• Strong operational mindset: observability/monitoring, runbooks, incident response, and production support readiness for GA launches
• Accessibility & accessible UI development (WCAG/ARIA)

Even if you don't have all of the Preferred Qualifications listed above, but feel you have what it takes to succeed in the role, we would love to hear from you!  

Reasons to join our Team:  

StarRez is not just a workplace—it’s a place to belong, build, and grow.   

• A Culture That Lasts: Many of our team members have been with us for 20+ years—a testament to our people-first philosophy.   

• Global Impact, Local Ownership: Join a team that spans across Australia, the USA, the UK, and Canada, working on industry-leading solutions, while building the centre up from ground up.   

• Long-Term Vision: We’re not here for short-term gains. We invest in our people for the long haul, creating an environment where you can grow, lead, and thrive.   

• Innovation with Stability: Backed by Vista Equity Partners, we combine the agility of a scaling SaaS company with the stability of long-term industry leadership.   

• Z-Factor: We take pride in our culture of passion, care, and high performance. The Z-Factor defines how we support our teams, foster growth, and ensure that everyone at StarRez thrives.   

If you are excited about building game-changing products in a high-impact, collaborative environment—StarRez India is the place for you.   

We are proud of our diverse workforce and are dedicated to creating a safe and welcoming environment for all employees. People from various ethnicities, ages, genders, and abilities are encouraged to apply.    

Notice to external Recruiters and Recruitment Agencies:  

StarRez will not accept unsolicited resumes from recruitment agencies, headhunters, or any other third parties for this role through this website or directly to any employee. StarRez and any of our subsidiaries will not pay fees to any third-party agency or company. In addition, we ask that you do not reach out to any employee with regards to this position, or any other positions, now, or in the future.  

Overview:   We are seeking a seasoned Software Engineer L5 with strong reporting and data experience to design, build, and optimize scalable systems that support analytics and business intelligence and reporting capabilities for our clients. This role requires deep technical expertise, sound architectural judgment, and a passion for building reliable, high-performance solutions.

• Design distributed systems that are resilient and secure at scale from inception;
• Raise the engineering bar on scale, resiliency, security fundamentals via technical leadership and engineering excellence.
• Discover, review, and influence new and evolving design, architecture, and standards for building and delivering unique services and solutions;
• Investigate, design, and implement best-in-industry, innovative technologies that will expand Inovalon’s infrastructure through robust, scalable, adrenaline-fueled solutions;
• Develop and execute designs for complex systems backed by excellence, confidence, and thorough engineering analysis;
• Take ownership of ensuring detailed design, analysis, testing, and optimization;
• Provide mentorship onboarding new team members and enabling successful ramp up;
• Collaborate with other engineers, services across Inovalon, and external customers to understand requirements, have tight feedback loop that is data driven;
• Adhere to all confidentiality, HIPAA, regulatory, and other such policies, procedures, and requirements as outlined within Employer’s Operating Policies and Procedures in all ways and at all times with respect to any aspect of the data handled or services rendered in the scope of work.
• Maintain compliance with Inovalon’s policies, procedures and mission statement, and fulfill those responsibilities and/or duties that may be reasonably provided by Inovalon for the purpose of achieving operational and financial success.
• On Call Policy: Participate in an on-call rotation to support critical issues, including outside standard business hours (evenings, weekends, and holidays), ensuring timely response and resolution as per defined SLAs.

Job Requirements:

• 10+ years of experience in software engineering or related IT roles, working with complex computing platforms and modern technologies such as virtualization, distributed systems, and high-performance computing.
• Strong foundation in system architecture, design patterns, and automation, with a consistent focus on engineering excellence.
• Experience working with large data sets, including data pipelines, data access controls, and data warehouse platforms such as Snowflake or Databricks.
• At least 3 years of experience with the .NET platform using C# or another object-oriented programming language.
• Hands-on experience working in cloud environments, preferably AWS.
• Experience developing or supporting BI and reporting solutions, or a strong willingness to learn Power BI.
• Solid understanding of virtualization technologies and distributed architectures.
• Demonstrated ability to debug complex issues, optimize code, and participate in high-quality code reviews.
• Proven track record of improving system stability and performance through thoughtful design, testing strategies, monitoring, and controlled rollouts.
• Strong problem-solving skills with a focus on delivering scalable, maintainable, and elegant 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).
• 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.

What will I be doing?

• Develop and articulate a clear vision and strategic direction for our data products. Work closely with senior management to ensure alignment with the organization’s overall objectives and the specific needs of our customers.
• Oversee the technical design and architectural decisions for building scalable and efficient data products. Ensure products are designed to leverage our data assets effectively.
• Implement data governance frameworks and establish data quality and consistency standards across Data Lake and other platforms. Ensure compliance with data security and privacy standards.
• Facilitate collaboration across engineering, data science, and business teams. Translate business needs into technical specifications and ensure that developed solutions meet these specifications.
• Conduct user research to gather insights into user needs and pain points. Use this information to guide product development and prioritize features that deliver significant value to users.
• Define and monitor key performance indicators for data products to evaluate success and identify opportunities for improvement.
• Write detailed functional specifications and collaborate with engineering teams to deliver features release after release.

What skills do I need?

• 3+ years of work experience as a Product manager in Reporting and Analytics areas of the product
• Working knowledge of current analytical technologies, data warehouse design and business intelligence best practices
• Excellent analytical, problem-solving, and strategic thinking skills.
• Effective communication skills, capable of explaining complex data concepts to non-technical stakeholders.
• A good understanding of mobile, web and cloud technology space
• Bachelor’s degree in Computer Science, Information Systems, or a related field. A Master’s degree is preferred.

Why Zenoti?

• Be part of an innovative company that is revolutionizing the wellness and beauty industry. 
• Work with a dynamic and diverse team that values collaboration, creativity, and growth. 
• Opportunity to lead impactful projects and help shape the global success of Zenoti’s platform. 
• Attractive compensation. 
• Medical coverage for yourself and your immediate family. 
• Access to regular yoga, meditation, breathwork, and stress management sessions. We also include your family in benefit awareness initiatives.  
• Regular social activities, and opportunities to give back through social work and community initiatives.