Lead Engineer - DevOps
Experience: 7+ years 10yrs
Location: Bangalore / Coimbatore

Who we are and What we do?

AppViewX is trusted by the world’s leading organizations to reduce risk, ensure compliance, and increase visibility through automated certificate lifecycle management. At AppViewX, you will get to work with our AVX ONE platform that provides complete certificate lifecycle management and PKI-as-a-Service using streamlined automation workflows to prevent outages, reduce security incidents and enable crypto-agility.

Glimpse of our Team
The core of AppViewX lies within its robust, flexible low code platform which is being built by the architecture team. The team designs ready to consume solutions that efficiently orchestrate and meet the scalable demands of our ever-growing customers. If you are someone who would like to develop solutions using cutting-edge technologies like Kubernetes, Containers and Service Mesh and design this low code platform then this is the right place for you!!

What will you be responsible for?

• Collaborate closely with the Product Engineering team to deliver scalable and reliable solutions
• Participate in end-to-end DevOps initiatives, addressing real-world challenges in network operations
• Work effectively with cross-functional teams to plan, estimate, and execute deliverables
• Apply industry-relevant estimation techniques to support project planning and execution
• Demonstrate strong team collaboration and ownership while driving outcomes
• Continuously learn and adopt new technologies to stay current with industry trends
• Leverage network domain expertise (preferred) to enhance solution design and troubleshooting

What do we require?

• Linux/Unix administration (Redhat/Centos preferred)
• Strong coding skills in Python combined with problem-solving skills
• Experience with AWS/Azure/Google Cloud
• In depth knowledge of Docker containers and Kubernetes.
• Hands-on experience with Helm charts and terraform scripting.
• Proficient in troubleshooting skills with proven abilities in resolving complex technical issues.
• Hands on experience with CI and CD tools (Jenkins, Nexus, Gitlab Etc.)
• Experience in working with microservices environments.
• Strong inclination for automation and test-driven development.
• Strong work ethic and ability to own projects/components

What do we desire?

• Experience with anyone of the web development frameworks (Flask/Django/Bottle) and experience with restful APIs.
• Hands-on experience with Configuration Management tools like ansible/puppet
• Experience in VMware/OpenStack/KVM/Proximo platform management is an added advantage
• Knowledge of Istio, Amazon EKS and GKE
• Working knowledge on NoSQL databases (MongoDB)
• Working Knowledge of ELK, Kibana, Grafana and Hashi Corp Vault/Consul.
• Excellent verbal and written communication skills

What brings us together?

What makes us stand out from the rest is the people. The people who push hard every day to be smarter, passionate, resilient, creative, inclusive and curious. Surrounding ourselves with a bunch of diverse and talented minds has made us what we are, and we can’t wait to see the positive impact it would have on you too!

What’s more in store?

 AppViewX is on par with leading global companies when it comes to the benefits it offers its employees, ranging from competitive incentives, health & wellness policies, saving & investment schemes, time off/sabbatical eligibility and dedicated L&D.

What we consider equally important is the flexibility we offer our employees to – work remotely, define their own hours, and more importantly harmonize both work and life. The more trust and accountability we place on our employees, the more they surpass our goals and expectations.

 Why AppViewX?

 AppViewX caters to a wide range of customers from Fortune 1000 companies, including six of the top ten global commercial banks, five of the top ten global media companies, and five of the top ten managed healthcare providers. Over the years, we grew our diverse team, perfected our automation platform, and expanded our Global footprint to India, North America, United Kingdom and Australia. Today, we are headquarters in New York City and have come a long way by optimizing opportunities to create lasting relationships with enterprises, gaining unshakable customer trust along the way.

AppViewX is proud to be an Equal Employment Opportunity Employer. It is AppViewX’s policy to afford equal employment opportunities to all employees regardless of race, color, national origin, ancestry, religion, citizenship status, , gender, gender expression or identity, sexual orientation, age, marital status, military or veteran status, pregnancy, disability, genetic information, arrest record, or other protected class under state, federal, or local law.

Why this role matters:

We're looking for a skilled Full Stack Engineer to join our expanding Jumper AI / Conversational Commerce platform team. This role requires robust experience in both frontend development (Vue.js / React.js) and backend development (Golang, Gin/Echo/Fiber). You will be instrumental in the design, development, and maintenance of scalable, secure, and high-performing applications that power our conversational commerce platform. This platform is used globally by enterprises to provide personalized, omnichannel experiences to their customers.

This position offers the chance to work across the entire technology stack, from crafting intuitive and dynamic user interfaces to building APIs and backend services deployed on Google Cloud Platform. You will collaborate closely with cross-functional teams, including design, product, data, and DevOps, to deliver impactful, customer-centric solutions.

Your key responsibilities:

• Design and build interactive, responsive frontend applications using Vue.js / React.js, and modern JavaScript.
• Translate UI/UX designs from Figma into high-quality, production-ready frontend code.
• Architect, build, and maintain backend services and REST APIs using Python (FastAPI, Flask, Django).
• Integrate frontend applications with backend APIs and third-party services to deliver seamless user experiences.
• Design and optimize data models, caching strategies, and database queries for performance and scalability.
• Deploy, scale, and operate applications on Google Cloud Platform with a focus on reliability and observability.
• Collaborate closely with Product, Design, QA, and Engineering teams; conduct code reviews and mentor junior engineers.

What you'll bring

• 5 plus years of hands-on full stack development experience in production environments.
• Strong proficiency in Vue.js or React.js, modern JavaScript (ES6+), HTML, and CSS.
• Solid backend engineering experience with Golang,  Gin / Echo / Fiber.
• Experience working with SQL and NoSQL databases such as PostgreSQL, BigQuery, Redis, or Datastore.
• Hands-on experience deploying and operating applications on Google Cloud Platform.
• Understanding of secure coding practices, authentication, and authorization using OAuth2 / JWT.
• Strong collaboration skills and experience working in Agile teams using Jira and Confluence.
• Embed AI assisted engineering into daily practice to accelerate delivery and enhance outcomes
• Proactively adopt emerging AI capabilities to improve workflows and shares best practices with the team

Experience we consider a plus:

• Experience building SaaS, e-commerce, or conversational AI platforms.
• Exposure to CI/CD pipelines using GitHub Actions or GCP Cloud Build.
• Experience optimizing frontend performance, accessibility, and responsiveness across devices.

How you’ll benefit:

• Attractive Discretionary Time Off
• Private Medical Insurance with optional dependent coverage
• Educational Assistance Reimbursement Program
• Opportunities for reimbursement for conferences, trainings, and other personal development events
• Maternity and Paternity Leave
• Ask recruiter for country specific information

Note: The purpose of this profile is to provide a general summary of essential responsibilities for the position and is not meant as an exhaustive list. Assignments may differ for individuals within the same role based on business conditions, departmental need or geographic location.

At Reltio®, we believe data should fuel business success. Reltio’s AI-powered data unification and management capabilities—encompassing entity resolution, multi-domain master data management (MDM), and data products—transform siloed data from disparate sources into unified, trusted, and interoperable data. Reltio Data Cloud™ delivers interoperable data where and when it's needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brands—across multiple industries around the globe—rely on our award-winning data unification and cloud-native MDM capabilities to improve efficiency, manage risk and drive growth.

At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence.

Reltio has earned numerous awards and top rankings for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk!

Job Summary:

As a Staff Full-Stack Engineer at Reltio, you will be a key member of our new Data Quality team, responsible for building a cutting-edge Data Observability platform from scratch. This platform will provide automated profiling and anomaly detection across various data sources, including Cloud Data Warehouses (Snowflake, BigQuery, Databricks, Redshift), dbt, Kafka/streaming, and SaaS applications (SFDC/Dynamics). You will contribute to both the API and UI development, ensuring a robust and intuitive experience. This is an individual contributor role.

Job Duties and Responsibilities:
(IC: Knowledge | Leadership | Communication)
(MGR: Knowledge | People Management & Leadership | Strategic Impact)
● Design, develop, and maintain the Data Observability platform using Python for the agentic and backend services.
● Implement robust and scalable APIs for seamless integration with various data sources
● Collaborate with frontend engineers on UI design and contribute to UI development as needed.
● Collaborate with cross-functional teams to define requirements, design solutions, and ensure the successful delivery of the platform.
● Contribute to the entire software development lifecycle, from conceptualization and design to deployment and ongoing maintenance
● Ensure the platform's performance, reliability, and security through rigorous testing and adherence to best practices
● Mentor junior/middle engineers and contribute to a culture of technical excellence and continuous improvement.

Skills You Must Have:
● 7+ years of experience in enterprise software development, building scalable backend platforms.
● Expert hands‑on experience developing backend services and platform APIs using Python (e.g., FastAPI, Flask, Django).
● Proven track record of delivering high‑quality enterprise SaaS platforms in high‑stakes environments.
● Experience delivering SaaS applications that scale and perform with low latency and high throughput.
● Strong written and verbal communication skills. Proven track record of unit and integration testing with CI/CD as part of your development process.
● Experience working with AI and automation tools to improve productivity and delivery speed (GitHub Copilot, Claude Code, Cursor, VSCode Kilo Code, etc.)

Skills That Are Nice to Have:
● Familiarity with cloud-based development using AWS, Google Cloud Platform (GCP), and/or Microsoft Azure services (such as Lambda, S3, Pub/Sub, Dataflow, or Azure Functions)
● Ability to deliver modern, intuitive UI/UX using React.js (and optionally TypeScript) with minimal guidance.
● Background in Data Quality systems, frameworks, or tools (e.g., profiling, validation, monitoring)
● Experience or understanding of Master Data Management (MDM) concepts, data modeling, and enterprise data integration patterns
● Exposure to containerization and orchestration technologies (Docker, Kubernetes)
● Familiarity with monitoring and observability stacks (Mezmo, Grafana, etc.)

About the role

Entrupy is seeking a Senior Full-Stack Engineer who is excited about automating manual processes and can lead complex projects. As a Full-Stack Engineer, you will be responsible for automating the processes and workflows that can have a significant business impact by increasing the authentication team's efficiency and accuracy. You will need to have a strong understanding of both back-end and front-end development, as well as a willingness to learn new technologies quickly. In addition, we are looking for someone who can work effectively in a team that is spread across different time zones.

Some areas you will work on would include:

• • Creating image search systems - infrastructure for similarity searching tens of millions of images + metadata.
  • Creating tools to encode + expose knowledge for our authentication team (databases/CRMs)
  • Monitoring systems & other analytics work to help flag areas where our knowledge is lacking for our expert teams
  • Internal dashboards and customer support tools
  • Policy tracking and change management systems
  • Custom search systems and data investigation tools
  • Interfaces to explain machine learning and expert system output
  • Account management systems
  • Data annotation tools
  • Internal training platforms

Reports to: Engineering Manager
Location: Bangalore, India (Hybrid)

What You'll Do:

• Develop systems that follow modern design principles and are implemented using secure, flexible & scalable methodologies, promote a streamlined, collaborative environment & use efficient workflows while keeping focus on a positive user experience
• You’ll contribute reliable code across all phases of the development lifecycle, collaborating on product specifications and operational feasibility
• You’ll come up with ideas for projects to clean up technical debt and make it easier to develop in our codebases
• You’ll champion a balance between following good coding practices and delivering value for our customers quickly
• You’ll produce well-tested, extensible code that stands up to existing and future load requirements
• You’ll share your expertise in a thoughtful, no-ego way with all members of the team, coaching team members when needed
• Sheppard your contributions through peer review, testing, deployment, and finally monitoring in production

Who you are:

• Generalist with experience in web apps, backend services, and databases.
• 6+ years of experience in full-stack web development.
• Solid working knowledge of Python, and experience using it in backend services using Flask/Django/Fast API or similar web framework. 
• Experience with building front-end websites or tools using modern SPA frameworks like Vue/React.
• Experience with databases (Postgres, NoSQL, etc.)
• Experience working as the lead on various technical projects.
• Prior experience working in a startup-like environment

What we offer

• Market competitive compensation structure
• Hybrid with Flexible work from anywhere for 4 weeks per year
• Generous time away including company holidays, paid time off, sick time, parental leave, and more!
• Rich medical benefits and insurance coverage
• Opportunity to be part of category defining start up.

Culturally we operate with intelligence, respect, and curiosity, relentlessly pursuing ideas to improve our offering and execute our mission.

Scopely is looking for a Senior AI Engineer to join our Gen AI team in Bangalore!

At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily.

What You’ll Do 

For this role we are seeking an experienced and forward-thinking Senior AI Engineer with deep expertise in Artificial Intelligence to lead the design and development of intelligent systems powering analytics, automation, and immersive in-game experiences. This role involves prototyping, researching emerging AI methods, and delivering scalable solutions that integrate seamlessly into production pipelines and game technologies.

• Lead the strategic design, development, and deployment of advanced AI systems for Conversational Analytics, Knowledge Bases, QA Automation, and in-game intelligent experiences
• Architect and implement scalable AI solutions supporting real-time systems, automation pipelines, and player-facing features
• Drive innovation in:
• Designing structured protocols for managing AI model context across diverse applications
• Creating autonomous agents for decision-making and dynamic interaction
• Collaborate across disciplines to translate high-level goals into robust, AI-powered capabilities
• Mentor and guide engineers, promote best practices, and contribute to architectural decisions shaping long-term technical direction
• Present research, insights, and prototypes that influence product vision and accelerate the adoption of emerging AI technologies
• Lead efforts in AI infrastructure, including model deployment workflows, performance tuning, and system observability in production environments

What We’re Looking For

• 5+ years of professional experience in backend or full-stack development using Python, including hands-on AI experience with at least 2 years in a senior role.
• Hands-on experience using agentic AI in day-to-day development to build, integrate, and optimize workflows with sub-agents, skills, MCP’s, tool calling, etc.
• Strong hands-on experience in building scalable, high-performance APIs using frameworks like FastAPI, Flask, etc.
• Proven Track record of atleast 1 year of experience in cloud- native development in AWS /GCP or similar and containerization using Docker  
• Strong background in software engineering best practices like CI/CD, Git workflows, testing strategies, and production-grade code quality
• Solid understanding of distributed systems, microservices architectures, and data management with both SQL and NoSQL technologies
• A strong sense of ownership and product thinking — proactively seeking ways to create value and drive impact
• Excellent problem-solving and system design skills, with a methodical and scalable approach to complex AI challenges
• Strong communicator with the ability to explain technical concepts clearly and influence cross-team decisions

Bonus

• Experience with MLOps, reinforcement learning, computer vision, or game AI development
• Contributions to open-source AI projects or publications in AI-related domains

At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that! We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure!

About Netradyne:

Netradyne provides AI-powered technologies for fleet management and safer roads. An award-winning industry leader in fleet safety and video telematics solutions, Netradyne empowers thousands of commercial fleet customers across North America, Europe, and Asia to enhance their driver performance, reduce risk, and optimize operations.

Netradyne sets the standard among transportation technology companies for enhancing and sustaining road safety, with an industry-leading 25+ billion miles vision-analyzed for risk and an industry-first driver scoring system that reinforces safe behaviors. Founded in 2015, Netradyne is headquartered in San Diego with offices in San Francisco, Nashville, the UK and Bangalore. For more details visit: www.netradyne.com

Job Overview:

As a Staff Data Engineer – ML at Netradyne, an award-winning industry leader in fleet safety and video telematics solutions, you will take senior technical ownership of the machine learning and data platforms that underpin our AI-powered fleet analytics. This role is responsible for designing, building, and scaling production-grade ML pipelines, generative AI capabilities, and real-time data streaming systems across cloud and edge environments, delivering actionable insights that make fleet operations safer and more efficient. You will collaborate closely with machine learning engineers, data scientists, and product teams to integrate advanced AI technologies into Netradyne's platform, including on-device edge intelligence and natural-language-driven capabilities. Your work will directly shape the data infrastructure behind Netradyne's Physical AI vision, where AI continuously interprets multimodal vehicle data to understand drivers, vehicles, and road environments as an integrated system.

Key Responsibilities:

• You will be embedded within a team of machine learning engineers and data scientists, responsible for building and productising generative AI, deep learning, and data engineering solutions. You will:
• Design, develop and deploy production-ready, scalable solutions that utilise generative AI, traditional ML models, data science workflows, and ETL/ELT pipelines on AWS cloud infrastructure (and hybrid edge-cloud environments).
• Build and manage real-time and batch data streaming pipelines to handle high-volume, high-velocity data from fleet devices, leveraging technologies such as Apache Kafka and Amazon Kinesis for low-latency processing and near real-time insights.
• Collaborate with cross-functional teams (Product, Data Science, ML Engineering, Operations) to integrate AI-driven solutions into business operations and customer-facing products.
• Design and implement generative AI solutions using large language models (LLMs), including prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) patterns, to enable intelligent analytics, natural-language interfaces, and context-aware insights across fleet and safety data.
• Build and scale agentic AI systems by developing autonomous and semi-autonomous agents that orchestrate data retrieval, reasoning, and actions across ML pipelines and services, ensuring these agentic workflows are production-grade, observable, and aligned with safety, reliability, and governance requirements.
• Implement MLOps best practices including CI/CD pipelines for model training, automated testing, model versioning, continuous monitoring, and modern workflow orchestration (e.g. Apache Airflow, MLFlow) to achieve reliable, reproducible model deployments at scale.
• Champion data quality and governance by implementing data contracts, rigorous validation, and monitoring to ensure that analytical pipelines meet defined SLAs and that downstream models and business users can trust the data.
• Conduct research and stay current with the latest advancements in generative AI, vector search techniques, LLM frameworks, orchestration platforms, and related technologies.

Mandatory Skills:

• Experience with data visualisation and BI tools (e.g. Tableau, Grafana, Plotly Dash).
• Exposure to real-time data streaming and messaging systems (e.g. Apache Kafka, Amazon Kinesis, Amazon SQS).
• Knowledge of containerisation and orchestration (e.g. Docker, Kubernetes/EKS)
• Strong understanding of generative AI system design, including prompt engineering, RAG architectures, vector search, and evaluation techniques for LLM-based applications in production environments.
• Experience with agentic AI patterns, such as designing, orchestrating, and monitoring autonomous or semi-autonomous agents that coordinate tools, data sources, and ML services with appropriate safety, observability, and governance controls.
• Experience with modern workflow orchestration platforms such as Apache Airflow, Prefect, or Dagster for scheduling and managing complex ETL/ML pipelines. These tools are now standard for data pipeline engineering.
• Proficiency with at least one Python web framework (e.g. FastAPI, Django, Flask) for developing data or model-serving APIs.
• Experience with rapid prototyping tools (e.g. Streamlit, Gradio, Dash) for demonstrating ML solutions to stakeholders.
• Familiarity with modern ML frameworks and libraries such as PyTorch, TensorFlow, and Hugging Face Transformers
• Background in large-scale data processing and lakehouse or data warehousing technologies (e.g. Snowflake, Amazon Redshift, Apache Spark/EMR, Delta Lake).

Qualifications and Education Requirements:

• B.Tech, M.Tech or PhD in Computer Science, Data Science, Electrical Engineering, Statistics, Mathematics, Operations Research, or a related field (or equivalent professional experience).
• 5–8 years of industry experience in data engineering, machine learning engineering, or related roles, with a track record of building and scaling data/ML solutions in production.
• Strong programming skills in Python and SQL, with solid fundamentals in algorithms, data structures, and object-oriented programming.
• Experience building end-to-end solutions on AWS cloud infrastructure including developing data pipelines (ETL/ELT), deploying ML models at scale, and utilising cloud services (e.g. S3, Lambda, EKS).
• In-depth understanding of data storage systems: proficient with relational databases (SQL), NoSQL datastores, and modern vector databases, including schema design and query optimisation for large-scale datasets.
• Hands-on experience with generative AI tools and workflows, and practical work with large language models (LLMs), including building LLM-powered applications and utilising RAG techniques to incorporate external knowledge.
• Working knowledge of MLOps principles and tools — e.g. model lifecycle management, CI/CD pipelines for ML, automated data/feature pipelines, and monitoring/alerting for deployed models.
• Strong analytical and problem-solving skills with keen attention to detail.
• Solid foundation in statistics, probability, and estimation theory.
  
  

Equal Opportunity Employer Statement:
Netradyne is an equal opportunity employer and are committed to creating an inclusive environment for all employees.

Title: Software Engineer

Reporting to: Senior Director, Product Development
Location: Bengaluru (Bangalore)

Opportunity:

Get Well is seeking a technically adept Staff Front End Engineer to implement scalable, secure services and processing systems within a regulated healthcare environment. This role is ideal for an early-career engineer eager to grow their skills in a dynamic, mission-driven team.

Responsibilities:

Platform Development Support

Assist in designing, developing, and testing microservices and APIs (REST and FHIR) to support AI agents, clinical applications, and external integrations.Implement platform components under the guidance of senior engineers and architects, ensuring alignment with enterprise goals for scalability and reliability.Write clean, maintainable, and efficient code using modern programming frameworks (e.g., Spring Boot, Node.js, or Python Flask/FastAPI).

System Maintenance & Optimization

• Support the maintenance and optimization of platform services to ensure performance, scalability, and reliability in a healthcare-critical environment.
• Assist in implementing monitoring, logging, and alerting mechanisms to maintain system health and support issue resolution.
• Participate in debugging and resolving technical issues under the mentorship of senior team members.

Compliance & Security

• Adhere to secure coding practices and healthcare regulatory requirements (e.g., HIPAA, GDPR) as directed by senior engineers and governance teams.
• Assist in implementing data privacy measures, such as encryption and access controls, to ensure compliance with healthcare standards.
• Support audit logging and documentation efforts to maintain traceability and compliance.

Collaboration & Agile Practices

• Collaborate with cross-functional teams, including data engineers, AI/ML engineers, and product managers, to deliver integrated solutions.
• Actively participate in agile development processes, including sprint planning, daily stand-ups, and retrospectives, to contribute to team goals.
• Engage in code reviews to learn best practices and improve code quality under the guidance of senior engineers.

Learning & Growth

• Stay informed about software engineering trends, cloud-native technologies, and healthcare interoperability standards through training and mentorship.
• Contribute to prototyping and evaluating new tools or frameworks to enhance platform capabilities.
• Actively seek feedback and apply best practices to grow technical expertise in software development.

Requirements:

Education & Experience

• Bachelor’s or Master’s degree in Computer Science or related technical discipline
• 12+ years of experience in software development, including internships, academic projects, or entry-level roles
• Exposure to designing or implementing backend services or APIs is a plus.

Technical Proficiency

• Proficiency in developing highly responsive Front End applications using React, JavaScript/TypeScript, Express.js, Vue.js, Angular
• Basic understanding of cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker) is a plus
• Familiarity with Low-code / no-code code generators like Replit AI, Cursor, Codeium, Copilot, ChatGPT etc.
• Familiarity with API development frameworks (e.g., Spring Boot, FastAPI, Express.js) or version control systems (e.g., Git)

 Professional Skills

• Strong problem-solving skills with a willingness to learn and tackle technical challenges.
• Good collaboration and communication skills, with the ability to work effectively in a team-oriented environment.
• Proactive, detail-oriented, and eager to grow in a fast-paced, innovative setting.

About Get Well:

Now part of the SAI Group family, Get Well is redefining digital patient engagement by putting patients in control of their personalized healthcare journeys, both inside and outside the hospital. Get Well is combining high-tech AI navigation with high-touch care experiences driving patient activation, loyalty, and outcomes while reducing the cost of care. For almost 25 years, Get Well has served more than 10 million patients per year across over 1,000 hospitals and clinical partner sites, working to use longitudinal data analytics to better serve patients and clinicians. AI innovator SAI Group led by Chairman Romesh Wadhwani is the lead growth investor in Get Well. Get Well’s award-winning solutions were recognized again in 2024 by KLAS Research and AVIA Marketplace. Learn more at Get Well and follow-us on LinkedIn and Twitter.

Get Well is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.

About SAI Group:

• SAIGroup commits to $1 Billion capital, an advanced AI platform that currently processes 300M+ patients, and 4000+ global employee base to solve enterprise AI and high priority healthcare problems. SAIGroup - Growing companies with advanced AI; https://www.cnbc.com/2023/12/08/75-year-old-tech-mogul-betting-1-billion-of-his-fortune-on-ai-future.html
• Bio of our Chairman Dr. Romesh Wadhwani: Team - SAIGroup (Informal at Romesh Wadhwani - Wikipedia)
• TIME Magazine recently recognized Chairman Romesh Wadhwani as one of the Top 100 AI leaders in the world - Romesh and Sunil Wadhwani: The 100 Most Influential People in AI 2023 | TIME

Opportunity:

Get Well is seeking a technically adept Senior Software Engineer to implement scalable, secure services and processing systems within a regulated healthcare environment. 

Responsibilities:

Platform Development & Integration

Design, develop, and maintain scalable microservices and APIs (REST and FHIR) to support AI agents, clinical applications, and third-party integrations.Implement secure and efficient interfaces to external services, ensuring seamless data exchange and interoperability with healthcare systems.Collaborate with the Staff Engineer/Software Architect to architect platform components that align with enterprise goals for scalability, reliability, and performance.Utilize modern frameworks and technologies (e.g., Spring Boot, Node.js, or Python Flask/FastAPI) to build robust platform services.

System Optimization & Reliability

Optimize platform services for performance, scalability, and fault tolerance, ensuring high availability in a healthcare-critical environment.Implement monitoring, logging, and alerting mechanisms to ensure system reliability and rapid issue resolution.Participate in code reviews, debugging, and performance tuning to maintain high standards of code quality and system efficiency.

Compliance & Security

• Ensure platform services adhere to healthcare regulatory requirements (e.g., HIPAA, GDPR) by implementing secure coding practices, encryption, and access controls.
• Collaborate with governance and security teams to enforce data privacy and compliance standards across all platform services.
• Support audit trails and logging mechanisms to ensure traceability and compliance with healthcare data standards.

Collaboration & Agile Practices

• Work closely with cross-functional teams, including data engineers, AI/ML engineers, and product managers, to deliver integrated solutions.
• Contribute to agile development processes, including sprint planning, daily stand-ups, and retrospectives, to drive continuous improvement.
• Mentor junior engineers and share best practices in software development, API design, and system architecture.

Innovation & Technical Expertise

• Stay informed about emerging trends in software engineering, cloud-native architectures, and healthcare interoperability standards.
• Prototype and evaluate new tools, frameworks, or technologies to enhance platform capabilities and support AI-driven applications.
• Advocate for best practices in software design, ensuring modularity, maintainability, and scalability in platform development.

Requirements:

Education & Experience

• Bachelor’s or Master’s degree in Computer Science or related technical discipline
• 5+ years of experience in software engineering, with at least 3+ years in platform or backend development roles.
• Proven track record of designing and implementing scalable, cloud-native platforms or services.

Technical Proficiency

• Strong proficiency in at least two programming languages such as Java, Python, Go or JavaScript/TypeScript for building REST based APIs.
• Hands-on experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes).
• Familiarity with API development frameworks (e.g., Spring Boot, FastAPI, Express.js) and service orchestration tools.
• Experience with message queues or event-driven architectures (e.g., Kafka, RabbitMQ) is a plus.
• Good to have: Expertise in healthcare data standards such as FHIR, HL7, USCDI, or CCDA.

Professional Skills

• Strong problem-solving skills with a focus on delivering reliable and scalable services.
• Excellent collaboration and communication skills, with the ability to work effectively in cross-functional teams.
• Proactive, detail-oriented, and committed to driving technical excellence in a fast-paced environment.

About Get Well:

Now part of the SAI Group family, Get Well is redefining digital patient engagement by putting patients in control of their personalized healthcare journeys, both inside and outside the hospital. Get Well is combining high-tech AI navigation with high-touch care experiences driving patient activation, loyalty, and outcomes while reducing the cost of care. For almost 25 years, Get Well has served more than 10 million patients per year across over 1,000 hospitals and clinical partner sites, working to use longitudinal data analytics to better serve patients and clinicians. AI innovator SAI Group led by Chairman Romesh Wadhwani is the lead growth investor in Get Well. Get Well’s award-winning solutions were recognized again in 2024 by KLAS Research and AVIA Marketplace. Learn more at Get Well and follow-us on LinkedIn and Twitter.

Get Well is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.

About SAI Group:

• SAIGroup commits to $1 Billion capital, an advanced AI platform that currently processes 300M+ patients, and 4000+ global employee base to solve enterprise AI and high priority healthcare problems. SAIGroup - Growing companies with advanced AI; https://www.cnbc.com/2023/12/08/75-year-old-tech-mogul-betting-1-billion-of-his-fortune-on-ai-future.html
• Bio of our Chairman Dr. Romesh Wadhwani: Team - SAIGroup (Informal at Romesh Wadhwani - Wikipedia)
• TIME Magazine recently recognized Chairman Romesh Wadhwani as one of the Top 100 AI leaders in the world - Romesh and Sunil Wadhwani: The 100 Most Influential People in AI 2023 | TIME

Job Overview:

Our team is responsible for ensuring that AI systems deployed at scale are measurable, trustworthy, and decision‑ready. We build rigorous evaluation frameworks, analytics platforms, and KPI audits that directly influence product direction and real‑world safety outcomes. This role is primarily evaluation and analytics driven. As a Staff Data Scientist will own the definition, execution, and evolution of evaluation frameworks, metrics, and analytical methodologies used to assess AI/ML feature performance in real‑world deployments. Rather than focusing on core model development, this role emphasizes measurement rigor, error analysis, experimentation, and decision support—ensuring that metrics accurately reflect system behavior, business impact, and safety outcomes.

Key Responsibilities:​

Evaluation & Measurement Ownership

• Design, implement, and maintain offline and online evaluation frameworks for AI/ML features.
• Define, validate, and evolve KPIs, success metrics, and audit methodologies used across teams.
• Perform deep error analysis, bias analysis, and segmentation to identify failure modes and improvement opportunities.
• Own golden datasets, validation protocols, and benchmarking standards.

Analytics & Insight Generation

• Conduct large‑scale analytical studies to understand feature performance, data quality issues, and system behavior.
• Translate complex analytical findings into clear, actionable insights for engineering, product, and leadership stakeholders.
• Challenge existing metrics or evaluation approaches when they fail to capture ground reality.

Experimentation & Statistical Rigor

• Design and review experiments including offline evaluations, controlled rollouts, and A/B tests.
• Ensure statistical correctness in analysis, including bias, variance, confidence intervals, and significance.
• Perform post‑deployment monitoring and regression detection.

Tooling, Automation & Scale

• Build and maintain tools, dashboards, and automation frameworks to scale audits, evaluations, and reporting.
• Improve repeatability, reproducibility, and reliability of analytics pipelines.
• Enable self‑serve analytics and standardized reporting for broader teams.

Leadership & Ownership

• Independently identify gaps in evaluation, metrics, or data quality and drive solutions end‑to‑
• Mentor junior data scientists on statistical rigor, experiment design, and analytical storytelling.

Mandatory Skills:​

• Tech, M.Tech, or PhD in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related field.
• 5+ years of experience in data science, analytics, or a closely related domain.
• Strong foundation in probability, statistics, and estimation theory.
• Strong analytical and problem‑solving skills with keen attention to detail.
• Strong programming skills in Python, with solid fundamentals in OOP, algorithms, and data structures.
• Deep familiarity with SQL, complex query writing, indexing, and database internals; working knowledge of at least one NoSQL data store.
• Experience with data visualization and analytical storytelling.
• Excellent written and verbal communication skills.
• Familiarity with AI‑powered tools for analytics and software development, including:
  • Using AI tools for exploratory data analysis, feature ideation, experiment analysis, and documentation.
  • Leveraging AI assistance for rapid prototyping, code refactoring, debugging, and analytical workflows.
  • Ability to critically evaluate AI‑generated outputs for correctness, statistical validity, reproducibility, and production readiness.

 Preferred Skills:​

• Exposure to cloud platforms and services (e.g., AWS Kinesis, EKS, autoscaling systems).
• Experience building lightweight web or service components using Python frameworks (e.g., Flask, Django).
• Prior experience working with large‑scale, noisy, real‑world datasets